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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6293e0cef216f409af0e0310fdb677fa878afc1b | 6,099 | py | Python | build/lib/rsnapsim/FileParser.py | MunskyGroup/rSNAPsim | af3e496d5252e1d2e1da061277123233a5d609b4 | [
"MIT"
] | 1 | 2022-01-28T18:17:37.000Z | 2022-01-28T18:17:37.000Z | build/lib/rsnapsim/FileParser.py | MunskyGroup/rSNAPsim | af3e496d5252e1d2e1da061277123233a5d609b4 | [
"MIT"
] | null | null | null | build/lib/rsnapsim/FileParser.py | MunskyGroup/rSNAPsim | af3e496d5252e1d2e1da061277123233a5d609b4 | [
"MIT"
] | 1 | 2020-12-02T06:36:17.000Z | 2020-12-02T06:36:17.000Z | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 21 16:29:21 2020
@author: willi
"""
import re
try:
from snapgene_reader import snapgene_file_to_dict, snapgene_file_to_seqrecord
except:
pass
try:
from Bio import SeqIO
from Bio import Entrez
except:
pass
import os
class FileParser():
'''
Cl... | 30.959391 | 153 | 0.486473 |
6293ea6ce41b9740ca0cfc4bcd9487ca96c3551a | 5,445 | py | Python | todo/modules/workflow.py | JulienPalard/cloudmesh | 1759b88daef3a13917492d028fdabe08f03ca996 | [
"Apache-2.0"
] | null | null | null | todo/modules/workflow.py | JulienPalard/cloudmesh | 1759b88daef3a13917492d028fdabe08f03ca996 | [
"Apache-2.0"
] | 4 | 2021-06-08T20:20:08.000Z | 2022-03-11T23:30:22.000Z | todo/modules/workflow.py | JulienPalard/cloudmesh | 1759b88daef3a13917492d028fdabe08f03ca996 | [
"Apache-2.0"
] | null | null | null | from cloudmesh.shell.Shell import Shell
from flask import Blueprint
from flask import render_template, redirect, flash
from datetime import datetime
from flask.ext.wtf import Form
from wtforms import TextField, SelectField, TextAreaField
from cloudmesh.old_inventory.inventory import Inventory
from hostlist import expan... | 32.60479 | 110 | 0.608264 |
6294190d84741f41fdb3693e73ffafc514e116a8 | 6,115 | py | Python | benchmarks/common/base_model_init.py | arita37/models | 659895bff24589829b317f5180d60329906dc13c | [
"Apache-2.0"
] | 1 | 2019-05-23T01:07:23.000Z | 2019-05-23T01:07:23.000Z | benchmarks/common/base_model_init.py | arita37/models | 659895bff24589829b317f5180d60329906dc13c | [
"Apache-2.0"
] | null | null | null | benchmarks/common/base_model_init.py | arita37/models | 659895bff24589829b317f5180d60329906dc13c | [
"Apache-2.0"
] | null | null | null | #
# -*- coding: utf-8 -*-
#
# Copyright (c) 2018 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 app... | 41.040268 | 118 | 0.645462 |
629421302d26f530273464ce66ea1c6b88814272 | 754 | py | Python | Chapter01/matrix_manipulations_2.py | suryapa1/Tensorflow_stack | 6a6c82ed30401b115cf106ad8271763dda518fa8 | [
"MIT"
] | 86 | 2017-12-28T12:18:02.000Z | 2022-03-14T03:41:29.000Z | Chapter01/matrix_manipulations_2.py | suryapa1/Tensorflow_stack | 6a6c82ed30401b115cf106ad8271763dda518fa8 | [
"MIT"
] | 1 | 2019-02-15T18:02:17.000Z | 2020-09-23T05:36:17.000Z | Chapter01/matrix_manipulations_2.py | suryapa1/Tensorflow_stack | 6a6c82ed30401b115cf106ad8271763dda518fa8 | [
"MIT"
] | 82 | 2017-12-21T09:25:04.000Z | 2021-04-22T02:38:29.000Z | import tensorflow as tf
# Create two random matrices
a = tf.Variable(tf.random_normal([4,5], stddev=2))
b = tf.Variable(tf.random_normal([4,5], stddev=2))
#Element Wise Multiplication
A = a * b
#Multiplication with a scalar 2
B = tf.scalar_mul(2, A)
# Elementwise division, its result is
C = tf.div(a,b)... | 25.133333 | 93 | 0.6313 |
6294a30a38f2eb2dddcbbb5e90d7fd076509693d | 34,448 | py | Python | sdk/anomalydetector/azure-ai-anomalydetector/azure/ai/anomalydetector/aio/operations/_anomaly_detector_client_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-09T08:59:13.000Z | 2022-03-09T08:59:13.000Z | sdk/anomalydetector/azure-ai-anomalydetector/azure/ai/anomalydetector/aio/operations/_anomaly_detector_client_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | null | null | null | sdk/anomalydetector/azure-ai-anomalydetector/azure/ai/anomalydetector/aio/operations/_anomaly_detector_client_operations.py | vincenttran-msft/azure-sdk-for-python | 348b56f9f03eeb3f7b502eed51daf494ffff874d | [
"MIT"
] | 1 | 2022-03-04T06:21:56.000Z | 2022-03-04T06:21:56.000Z | # coding=utf-8
# --------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may ... | 46.614344 | 451 | 0.672869 |
6294ca69346a40e40907e7ae4e962a4345556027 | 3,422 | py | Python | gaphor/diagram/tests/test_presentation.py | Xander982/gaphor | b5c55fa18b79b80d9c14ee0cb0ce8a9963e90f86 | [
"Apache-2.0"
] | null | null | null | gaphor/diagram/tests/test_presentation.py | Xander982/gaphor | b5c55fa18b79b80d9c14ee0cb0ce8a9963e90f86 | [
"Apache-2.0"
] | null | null | null | gaphor/diagram/tests/test_presentation.py | Xander982/gaphor | b5c55fa18b79b80d9c14ee0cb0ce8a9963e90f86 | [
"Apache-2.0"
] | null | null | null | from gaphor import UML
from gaphor.core.modeling import Presentation
from gaphor.diagram.presentation import ElementPresentation, LinePresentation
class DummyVisualComponent:
def size(self, cr):
return 0, 0
def draw(self, cr, bounding_box):
pass
class StubElement(ElementPresentation):
d... | 27.376 | 77 | 0.646406 |
62950d7f81927795908336f20d4293f418b3849e | 1,513 | py | Python | list_accounts.py | schubb2003/element | 14d79297b2dd6908e0c84ba533d507acd44fe054 | [
"MIT"
] | null | null | null | list_accounts.py | schubb2003/element | 14d79297b2dd6908e0c84ba533d507acd44fe054 | [
"MIT"
] | null | null | null | list_accounts.py | schubb2003/element | 14d79297b2dd6908e0c84ba533d507acd44fe054 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""
# Author: Scott Chubb scott.chubb@netapp.com
# Written for Python 3.6 and above
# No warranty is offered, use at your own risk. While these scripts have been
# tested in lab situations, all use cases cannot be accounted for.
# This script gets the network config from a single node for a node r... | 29.666667 | 78 | 0.709848 |
6295524ace215e410a86131ccfc1e7a59c00e4b1 | 5,451 | py | Python | tensorflow_model_analysis/extractors/features_extractor.py | pfyang/model-analysis | cc7d75c1bf588123795511572e1b4445d9a52191 | [
"Apache-2.0"
] | 1 | 2021-05-10T10:54:09.000Z | 2021-05-10T10:54:09.000Z | tensorflow_model_analysis/extractors/features_extractor.py | Saiprasad16/model-analysis | 1617375dd35e72447653e54330484c3a2950e4c6 | [
"Apache-2.0"
] | null | null | null | tensorflow_model_analysis/extractors/features_extractor.py | Saiprasad16/model-analysis | 1617375dd35e72447653e54330484c3a2950e4c6 | [
"Apache-2.0"
] | null | null | null | # Lint as: python3
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agr... | 37.854167 | 80 | 0.750138 |
6295540388e372e4998084204d8b6c4f27cd6538 | 2,579 | py | Python | documentation/examples/covariance_matrix_computation.py | arthus701/algopy | 1e2430f803289bbaed6bbdff6c28f98d7767835c | [
"Unlicense"
] | 54 | 2015-03-05T13:38:08.000Z | 2021-11-29T11:54:48.000Z | documentation/examples/covariance_matrix_computation.py | arthus701/algopy | 1e2430f803289bbaed6bbdff6c28f98d7767835c | [
"Unlicense"
] | 7 | 2016-04-06T11:25:00.000Z | 2020-11-09T13:53:20.000Z | documentation/examples/covariance_matrix_computation.py | arthus701/algopy | 1e2430f803289bbaed6bbdff6c28f98d7767835c | [
"Unlicense"
] | 13 | 2015-01-17T17:05:56.000Z | 2021-08-05T01:13:16.000Z | """
In this example it is the goal to compute derivatives of the covariance matrix
of a constrained parameter estimation problem.
I.e. compute
/ J1.T J1 J2.T \^-1 / 1 \
C = (1,0) | | | |
\ J2 0 / \ 0 /
where J1 = J1(x) and J2 = J2(x). The vector x... | 25.038835 | 87 | 0.66615 |
629581fd4ebb603a1f7f5c4b7661bda9ad44c5cf | 508 | py | Python | tests/enterprise_test_data.py | AaronDJohnson/enterprise | d964464bba699a9455897d890a97c40f25c5b004 | [
"MIT"
] | 35 | 2017-01-18T18:02:28.000Z | 2021-11-14T14:14:35.000Z | tests/enterprise_test_data.py | AaronDJohnson/enterprise | d964464bba699a9455897d890a97c40f25c5b004 | [
"MIT"
] | 174 | 2017-02-02T22:13:46.000Z | 2022-03-04T21:00:24.000Z | tests/enterprise_test_data.py | AaronDJohnson/enterprise | d964464bba699a9455897d890a97c40f25c5b004 | [
"MIT"
] | 49 | 2017-01-17T21:59:43.000Z | 2021-11-03T11:26:37.000Z | # enterprise_test_data.py
"""This module provides the location of data files for tests as `datadir`.
Currently they are in `tests/data`, and they are based on the 9-yr data release."""
# import this to get the location of the datafiles for tests. This file
# must be kept in the appropriate location relative to the t... | 33.866667 | 83 | 0.753937 |
62958e18e193739796a1886a8951d2f05ab4d2a3 | 14,062 | py | Python | premade_modules/2.80/e5e885d0ecb9430a73e0a904cdb6035a2ef77e98/bpy/ops/curve.py | echantry/fake-bpy-module | 004cdf198841e639b7d9a4c4db95ca1c0d3aa2c7 | [
"MIT"
] | null | null | null | premade_modules/2.80/e5e885d0ecb9430a73e0a904cdb6035a2ef77e98/bpy/ops/curve.py | echantry/fake-bpy-module | 004cdf198841e639b7d9a4c4db95ca1c0d3aa2c7 | [
"MIT"
] | null | null | null | premade_modules/2.80/e5e885d0ecb9430a73e0a904cdb6035a2ef77e98/bpy/ops/curve.py | echantry/fake-bpy-module | 004cdf198841e639b7d9a4c4db95ca1c0d3aa2c7 | [
"MIT"
] | null | null | null | def cyclic_toggle(direction='CYCLIC_U'):
'''Make active spline closed/opened loop
:param direction: Direction, Direction to make surface cyclic in
:type direction: enum in ['CYCLIC_U', 'CYCLIC_V'], (optional)
'''
pass
def de_select_first():
'''(De)select first of visible part of each NURBS... | 25.660584 | 454 | 0.640023 |
6295e0938eeba964d6a9e0dfa8f9a16af960f4f8 | 2,026 | py | Python | appengine/flexible/multiple_services/gateway-service/services_config.py | jsj14/python-docs-samples | 9cf5461b166eea824c40c704ed06c5ea53cf91d4 | [
"Apache-2.0"
] | null | null | null | appengine/flexible/multiple_services/gateway-service/services_config.py | jsj14/python-docs-samples | 9cf5461b166eea824c40c704ed06c5ea53cf91d4 | [
"Apache-2.0"
] | null | null | null | appengine/flexible/multiple_services/gateway-service/services_config.py | jsj14/python-docs-samples | 9cf5461b166eea824c40c704ed06c5ea53cf91d4 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 34.931034 | 77 | 0.705331 |
6295ef7cc901288abe48d2ecab4ded068bf808da | 2,549 | py | Python | loaner/deployments/lib/ui/components/text.py | Bottom-Feeders/GrabNGO | 5a467362e423700a5a7276a7fa9a47040033cfcf | [
"Apache-2.0"
] | null | null | null | loaner/deployments/lib/ui/components/text.py | Bottom-Feeders/GrabNGO | 5a467362e423700a5a7276a7fa9a47040033cfcf | [
"Apache-2.0"
] | null | null | null | loaner/deployments/lib/ui/components/text.py | Bottom-Feeders/GrabNGO | 5a467362e423700a5a7276a7fa9a47040033cfcf | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 31.469136 | 80 | 0.676736 |
6295f679a72fbf8c2a96ba669566a7a00097aa91 | 8,334 | py | Python | bndl_cassandra/session.py | bndl/bndl_cassandra | 5db434a73e65e4642e5372635a37c81d3c78d3a7 | [
"Apache-2.0"
] | null | null | null | bndl_cassandra/session.py | bndl/bndl_cassandra | 5db434a73e65e4642e5372635a37c81d3c78d3a7 | [
"Apache-2.0"
] | null | null | null | bndl_cassandra/session.py | bndl/bndl_cassandra | 5db434a73e65e4642e5372635a37c81d3c78d3a7 | [
"Apache-2.0"
] | null | null | null | # Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under th... | 35.76824 | 112 | 0.635469 |
62962949c50bfcf35a4f2042563546ffa2ca3e8c | 11,131 | py | Python | classification/utils/parsers.py | qyb225/similar-cloth | c68aa55943f7fa10380ca909b43abb87dcb71a0c | [
"MIT"
] | null | null | null | classification/utils/parsers.py | qyb225/similar-cloth | c68aa55943f7fa10380ca909b43abb87dcb71a0c | [
"MIT"
] | null | null | null | classification/utils/parsers.py | qyb225/similar-cloth | c68aa55943f7fa10380ca909b43abb87dcb71a0c | [
"MIT"
] | null | null | null | # Copyright 2017 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 37.732203 | 80 | 0.645315 |
629631a7477f9fbc7c31735ef949b3f27e8f6dd2 | 1,103 | py | Python | marqeta/response_models/fee_detail.py | marqeta/marqeta-python | 66fa690eb910825c510a391720b0fe717fac0234 | [
"MIT"
] | 21 | 2019-04-12T09:02:17.000Z | 2022-02-18T11:39:06.000Z | marqeta/response_models/fee_detail.py | marqeta/marqeta-python | 66fa690eb910825c510a391720b0fe717fac0234 | [
"MIT"
] | 1 | 2020-07-22T21:27:40.000Z | 2020-07-23T17:38:43.000Z | marqeta/response_models/fee_detail.py | marqeta/marqeta-python | 66fa690eb910825c510a391720b0fe717fac0234 | [
"MIT"
] | 10 | 2019-05-08T14:20:37.000Z | 2021-09-20T18:09:26.000Z | from datetime import datetime, date
from marqeta.response_models.fee import Fee
from marqeta.response_models import datetime_object
import json
import re
class FeeDetail(object):
def __init__(self, json_response):
self.json_response = json_response
def __str__(self):
return json.dumps(self.js... | 23.468085 | 81 | 0.672711 |
62965b085fa6f132533fcf3fdd16ad19fef80d3a | 11,166 | py | Python | qm_2019_sss_6/tests/test_qm_2019_sss_6.py | MolSSI-Education/qm_2019_sss_6 | 48b2a8229bd09ab61f7e50530a39acfc081f47b1 | [
"BSD-3-Clause"
] | null | null | null | qm_2019_sss_6/tests/test_qm_2019_sss_6.py | MolSSI-Education/qm_2019_sss_6 | 48b2a8229bd09ab61f7e50530a39acfc081f47b1 | [
"BSD-3-Clause"
] | 2 | 2019-07-23T20:33:00.000Z | 2019-07-31T05:09:01.000Z | qm_2019_sss_6/tests/test_qm_2019_sss_6.py | MolSSI-Education/qm_2019_sss_6 | 48b2a8229bd09ab61f7e50530a39acfc081f47b1 | [
"BSD-3-Clause"
] | 17 | 2019-07-23T20:14:06.000Z | 2019-07-31T03:47:36.000Z | """
Unit and regression test for the qm_2019_sss_6 package.
"""
# Import package, test suite, and other packages as needed
import qm_2019_sss_6
# import NobleGasModel.py
import pytest
import sys
import numpy as np
atomic_coordinates = np.array([[0.0, 0.0, 0.0], [3.0, 4.0, 5.0]])
# Derived from user input
number_of_at... | 45.206478 | 143 | 0.532689 |
62966c0f1d0d8a3be429930f59dc400769a729bb | 5,015 | py | Python | scripts/pyr3dbrc.py | vlouf/r3dbrc | cbcfec06915be8c77613303cb272539194807429 | [
"MIT"
] | null | null | null | scripts/pyr3dbrc.py | vlouf/r3dbrc | cbcfec06915be8c77613303cb272539194807429 | [
"MIT"
] | null | null | null | scripts/pyr3dbrc.py | vlouf/r3dbrc | cbcfec06915be8c77613303cb272539194807429 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Script for finding the consecutive CPOL and Berrimah files at a given date.
@title: pyr3dbrc.py
@author: Valentin Louf <valentin.louf@bom.gov.au>
@institutions: Australian Bureau of Meteorology
@date: 02/09/2020
.. autosummary::
:toctree: generated/
get_radar... | 28.821839 | 118 | 0.624327 |
6296dbc3ac5196b95aafac8644416a82ae57dfcb | 29,481 | py | Python | app/user/rest.py | cds-snc/notifier-api | 90b385ec49efbaee7e607516fc7d9f08991af813 | [
"MIT"
] | null | null | null | app/user/rest.py | cds-snc/notifier-api | 90b385ec49efbaee7e607516fc7d9f08991af813 | [
"MIT"
] | 51 | 2019-07-03T14:11:19.000Z | 2019-07-08T12:24:55.000Z | app/user/rest.py | cds-snc/notifier-api | 90b385ec49efbaee7e607516fc7d9f08991af813 | [
"MIT"
] | null | null | null | import base64
import json
import pickle
import uuid
from datetime import datetime, timedelta
import pwnedpasswords
from fido2 import cbor
from fido2.client import ClientData
from fido2.ctap2 import AuthenticatorData
from flask import Blueprint, abort, current_app, jsonify, request
from sqlalchemy.exc import IntegrityE... | 35.13826 | 124 | 0.707337 |
6296ea45b9326884146b32c2a36f7309036b6d24 | 3,186 | py | Python | examples/plot_2_example_added_gridsearchcv.py | PhilipMay/PipeGraph | 85c6dcec03317835dbf8f54412ffedd2f26e3564 | [
"MIT"
] | 23 | 2018-02-09T07:43:06.000Z | 2021-09-14T07:27:09.000Z | examples/plot_2_example_added_gridsearchcv.py | PhilipMay/PipeGraph | 85c6dcec03317835dbf8f54412ffedd2f26e3564 | [
"MIT"
] | 5 | 2018-11-21T20:20:17.000Z | 2021-06-15T17:52:50.000Z | examples/plot_2_example_added_gridsearchcv.py | PhilipMay/PipeGraph | 85c6dcec03317835dbf8f54412ffedd2f26e3564 | [
"MIT"
] | 8 | 2018-03-18T08:08:34.000Z | 2021-02-15T08:40:00.000Z | """
.. _example2:
Second example: :class:`GridSearchCV` demonstration
----------------------------------------------------
This example shows how to use :class:`GridSearchCv` with **PipeGraph** to effectively fit the best model across a number of hyperparameters.
It is equivalent to use :class:`GridSearchCv` with :cl... | 43.643836 | 231 | 0.676397 |
6296fb0f64d2112629ffe9029916f8030e023e17 | 2,040 | py | Python | src/command_modules/azure-cli-backup/setup.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | null | null | null | src/command_modules/azure-cli-backup/setup.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | 3 | 2021-03-26T00:48:20.000Z | 2022-03-29T22:05:39.000Z | src/command_modules/azure-cli-backup/setup.py | v-Ajnava/azure-cli | febec631d79bfca151e84267b5b409594bad598e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# ----------------------------------------------... | 32.380952 | 94 | 0.613725 |
62970b7d4bb23a7f3283d104f1d30d54e5f198a2 | 4,964 | py | Python | chatterbot/storage/storage_adapter.py | yego76/ChatterBot | 4674b24ea76ddf65584a740d4d36f7d0f1eed749 | [
"BSD-3-Clause"
] | 1 | 2020-01-19T17:56:13.000Z | 2020-01-19T17:56:13.000Z | chatterbot/storage/storage_adapter.py | yego76/ChatterBot | 4674b24ea76ddf65584a740d4d36f7d0f1eed749 | [
"BSD-3-Clause"
] | null | null | null | chatterbot/storage/storage_adapter.py | yego76/ChatterBot | 4674b24ea76ddf65584a740d4d36f7d0f1eed749 | [
"BSD-3-Clause"
] | null | null | null | import logging
class StorageAdapter(object):
"""
This is an abstract class that represents the interface
that all storage adapters should implement.
"""
def __init__(self, base_query=None, *args, **kwargs):
"""
Initialize common attributes shared by all storage adapters.
"... | 34 | 175 | 0.639807 |
6297279c97bb26368d2d07765ad3ddc4fa75d2d7 | 50,194 | py | Python | premade_modules/2.78/2.78c/bmesh/ops.py | echantry/fake-bpy-module | 004cdf198841e639b7d9a4c4db95ca1c0d3aa2c7 | [
"MIT"
] | null | null | null | premade_modules/2.78/2.78c/bmesh/ops.py | echantry/fake-bpy-module | 004cdf198841e639b7d9a4c4db95ca1c0d3aa2c7 | [
"MIT"
] | null | null | null | premade_modules/2.78/2.78c/bmesh/ops.py | echantry/fake-bpy-module | 004cdf198841e639b7d9a4c4db95ca1c0d3aa2c7 | [
"MIT"
] | null | null | null | def smooth_vert(bm, verts, factor, mirror_clip_x, mirror_clip_y, mirror_clip_z,
clip_dist, use_axis_x, use_axis_y, use_axis_z):
'''Smooths vertices by using a basic vertex averaging scheme.
:param bm: The bmesh to operate on.
:type bm: bmesh.types.BMesh
:param verts: input vertices
... | 33.285146 | 718 | 0.689903 |
62973275eee8cbaf9d0c714e30abf31af0ee1cc2 | 4,957 | py | Python | Model/code/training_image_features.py | teomotun/Restaurant-Plug | 1ecaab7bb60706ec0eca96c2f3efb31276c536e7 | [
"Apache-2.0"
] | null | null | null | Model/code/training_image_features.py | teomotun/Restaurant-Plug | 1ecaab7bb60706ec0eca96c2f3efb31276c536e7 | [
"Apache-2.0"
] | null | null | null | Model/code/training_image_features.py | teomotun/Restaurant-Plug | 1ecaab7bb60706ec0eca96c2f3efb31276c536e7 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import pandas as pd
import tarfile
import skimage
import io
import h5py
import os
import caffe
import time
# Paths
CAFFE_HOME = "/content/drive/My Drive/Yelp-Restaurant-Classification/Model/caffe/"
DATA_HOME = "/content/drive/My Drive/Yelp-Restaurant-Classification/Model/data/"
FEATURES_HOME = '/con... | 45.898148 | 212 | 0.734719 |
629737c6742893055fc6276fdc3c4984769d7214 | 19,887 | py | Python | lift/Generator/Generator.py | wolongyuan/lift-js | 95b2012a3993e787f07d0ace3acafbd855bc7c45 | [
"MIT"
] | null | null | null | lift/Generator/Generator.py | wolongyuan/lift-js | 95b2012a3993e787f07d0ace3acafbd855bc7c45 | [
"MIT"
] | null | null | null | lift/Generator/Generator.py | wolongyuan/lift-js | 95b2012a3993e787f07d0ace3acafbd855bc7c45 | [
"MIT"
] | null | null | null | """
Code generator for Lift JS.
"""
from Builder import Builder
import Registers
import Constants
import Labels
import pprint
builder = Builder()
context = {
'function': []
}
def gen_string_literal(string):
label = Constants.string(string)
rd = Registers.allocate(1)[0]
builder.inst_la(rd, label)
... | 32.336585 | 88 | 0.559712 |
6297560ee06ff381f603021339a2306a4465d81a | 7,653 | py | Python | dvc/repo/diff.py | drorata/dvc | b6bc65fcbf269b94b7c1ce2d9dff641dedb039b0 | [
"Apache-2.0"
] | 2 | 2019-06-23T14:24:48.000Z | 2019-07-08T12:22:53.000Z | dvc/repo/diff.py | aliseramirez/dvc | 92cc9f7e6f19f3b92f43e28131fe50c20b297214 | [
"Apache-2.0"
] | null | null | null | dvc/repo/diff.py | aliseramirez/dvc | 92cc9f7e6f19f3b92f43e28131fe50c20b297214 | [
"Apache-2.0"
] | 1 | 2019-09-02T00:29:40.000Z | 2019-09-02T00:29:40.000Z | from __future__ import unicode_literals
import os
from errno import ENOENT
import dvc.logger as logger
from dvc.scm.base import FileNotInCommitError
from dvc.scm.git import (
DIFF_A_TREE,
DIFF_B_TREE,
DIFF_A_REF,
DIFF_B_REF,
DIFF_EQUAL,
)
DIFF_TARGET = "target"
DIFF_IS_DIR = "is_dir"
DIFF_OLD_F... | 30.249012 | 79 | 0.650333 |
62977e4bc393d79490a682b31564876978491454 | 767 | py | Python | leetcode_python/src/algorithms/tree/binary_tree_right_side_view.py | attilagyoriid/leetcode_python | 457b1271cf58df8726d3ec35b4ac6d78a33c49a9 | [
"MIT"
] | null | null | null | leetcode_python/src/algorithms/tree/binary_tree_right_side_view.py | attilagyoriid/leetcode_python | 457b1271cf58df8726d3ec35b4ac6d78a33c49a9 | [
"MIT"
] | null | null | null | leetcode_python/src/algorithms/tree/binary_tree_right_side_view.py | attilagyoriid/leetcode_python | 457b1271cf58df8726d3ec35b4ac6d78a33c49a9 | [
"MIT"
] | null | null | null | from collections import deque
from typing import List
from leetcode_python.src.algorithms.tree.node import Node
class BinaryTreeRightSideView:
def get_right_side_view(self, root: Node) -> List[int]:
result = []
if not root:
return result
levels = deque()
levels.appe... | 24.741935 | 59 | 0.560626 |
62978225153824ce502540cca55922ece7ad9e8f | 478 | py | Python | setup.py | sio13/helmnet | 514a2035b4e043825d444496eda375b3d954f853 | [
"MIT"
] | 5 | 2021-08-17T07:43:03.000Z | 2022-02-07T01:00:57.000Z | setup.py | sio13/helmnet | 514a2035b4e043825d444496eda375b3d954f853 | [
"MIT"
] | 9 | 2021-08-03T22:09:17.000Z | 2022-02-07T09:36:18.000Z | setup.py | sio13/helmnet | 514a2035b4e043825d444496eda375b3d954f853 | [
"MIT"
] | 5 | 2021-07-12T03:31:41.000Z | 2022-02-07T01:02:07.000Z | import setuptools
with open("README.md", "r") as fh:
long_description = fh.read()
setuptools.setup(
name="helmnet", # Replace with your own username
version="0.1.0",
author="Antonio Stanziola",
author_email="a.stanziola@ucl.ac.uk",
description="",
long_description=long_description,
lo... | 26.555556 | 53 | 0.688285 |
6297a93c12c64a47d06386f7ef38e788dae7fe85 | 4,598 | py | Python | pinax/apps/topics/views.py | peiwei/pinax | 34f95b1df4318655fe9bd90dcda8fe824e0c4117 | [
"MIT"
] | 1 | 2019-02-12T04:45:09.000Z | 2019-02-12T04:45:09.000Z | pinax/apps/topics/views.py | peiwei/pinax | 34f95b1df4318655fe9bd90dcda8fe824e0c4117 | [
"MIT"
] | null | null | null | pinax/apps/topics/views.py | peiwei/pinax | 34f95b1df4318655fe9bd90dcda8fe824e0c4117 | [
"MIT"
] | 1 | 2019-02-12T04:45:40.000Z | 2019-02-12T04:45:40.000Z | import os
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist
from django.core.urlresolvers import reverse
from django.http import HttpResponseRedirect, HttpResponse, HttpResponseForbidden, Http404
from django.shortcuts import render_to_response, get_object_or_404
from django.templat... | 31.278912 | 126 | 0.622662 |
6297b21525d479d703516736460066c8a67aee86 | 1,474 | py | Python | GearBot/Util/Emoji.py | mrkirby153/GearBot | a61d936c12e906c7bcfaa840a585ee25ffc06138 | [
"MIT"
] | null | null | null | GearBot/Util/Emoji.py | mrkirby153/GearBot | a61d936c12e906c7bcfaa840a585ee25ffc06138 | [
"MIT"
] | null | null | null | GearBot/Util/Emoji.py | mrkirby153/GearBot | a61d936c12e906c7bcfaa840a585ee25ffc06138 | [
"MIT"
] | null | null | null | from discord import utils
from Util import Configuration
emojis = dict()
BACKUPS = {
"1": "1⃣",
"2": "2⃣",
"3": "3⃣",
"4": "4⃣",
"5": "5⃣",
"6": "6⃣",
"7": "7⃣",
"8": "8⃣",
"9": "9⃣",
"10": "🔟",
"ALTER": "🛠",
"BAD_USER": "😶",
"BAN": "🚪",
"BEAN": "🌱",
"... | 17.341176 | 71 | 0.377205 |
6297b3ae5f9a8b57dc6e5f823934b6f8e3f9dac7 | 14,177 | py | Python | tests/test_engine/test_queries/test_queryop_comparsion_lte.py | gitter-badger/MontyDB | 849d03dc2cfed35739481e9acb1ff0bd8095c91b | [
"BSD-3-Clause"
] | null | null | null | tests/test_engine/test_queries/test_queryop_comparsion_lte.py | gitter-badger/MontyDB | 849d03dc2cfed35739481e9acb1ff0bd8095c91b | [
"BSD-3-Clause"
] | null | null | null | tests/test_engine/test_queries/test_queryop_comparsion_lte.py | gitter-badger/MontyDB | 849d03dc2cfed35739481e9acb1ff0bd8095c91b | [
"BSD-3-Clause"
] | null | null | null |
import pytest
from montydb.errors import OperationFailure
from datetime import datetime
from bson.timestamp import Timestamp
from bson.objectid import ObjectId
from bson.min_key import MinKey
from bson.max_key import MaxKey
from bson.int64 import Int64
from bson.decimal128 import Decimal128
from bson.binary import Bi... | 23.66778 | 50 | 0.546448 |
6297bac69e1443f39f15dc1317c03550850b7185 | 448 | py | Python | tests/unit/transport/plugins/ssh2/test_transport.py | dmfigol/scrapli | d1f8641a1e3f490dab6bae704f092255efe6655c | [
"MIT"
] | null | null | null | tests/unit/transport/plugins/ssh2/test_transport.py | dmfigol/scrapli | d1f8641a1e3f490dab6bae704f092255efe6655c | [
"MIT"
] | null | null | null | tests/unit/transport/plugins/ssh2/test_transport.py | dmfigol/scrapli | d1f8641a1e3f490dab6bae704f092255efe6655c | [
"MIT"
] | null | null | null | import pytest
from scrapli.exceptions import ScrapliConnectionNotOpened
def test_open_channel_no_session(ssh2_transport):
with pytest.raises(ScrapliConnectionNotOpened):
assert ssh2_transport._open_channel()
def test_isalive_no_session(ssh2_transport):
assert ssh2_transport.isalive() is False
def... | 24.888889 | 57 | 0.805804 |
6297cb328cb332d4deb75a84bd9c5099d4d5d966 | 2,835 | py | Python | nets/TSP_edge_classification/gin_net.py | SauravMaheshkar/benchmarking-gnns | 4665316322527634c23307556b63291c69dac4b0 | [
"MIT"
] | null | null | null | nets/TSP_edge_classification/gin_net.py | SauravMaheshkar/benchmarking-gnns | 4665316322527634c23307556b63291c69dac4b0 | [
"MIT"
] | 6 | 2022-01-06T21:27:06.000Z | 2022-01-19T06:28:56.000Z | nets/TSP_edge_classification/gin_net.py | SauravMaheshkar/benchmarking-gnns | 4665316322527634c23307556b63291c69dac4b0 | [
"MIT"
] | null | null | null | import torch
import torch.nn as nn
"""
GIN: Graph Isomorphism Networks
HOW POWERFUL ARE GRAPH NEURAL NETWORKS? (Keyulu Xu, Weihua Hu, Jure Leskovec and Stefanie Jegelka, ICLR 2019)
https://arxiv.org/pdf/1810.00826.pdf
"""
from layers.gin_layer import MLP, ApplyNodeFunc, GINLayer
class GINNet(nn.Module):... | 31.153846 | 113 | 0.561552 |
6297ccfa85da8e453e45e1f0e696beae668541ea | 16,845 | py | Python | hrl_dynamic_mpc/src/nlp_opt_traj_final.py | gt-ros-pkg/hrl-haptic-manip | 6458187075033ecd3a22fbcdc1a632df39b0cba1 | [
"Apache-2.0"
] | 1 | 2017-07-13T14:58:35.000Z | 2017-07-13T14:58:35.000Z | hrl_dynamic_mpc/src/nlp_opt_traj_final.py | gt-ros-pkg/hrl-haptic-manip | 6458187075033ecd3a22fbcdc1a632df39b0cba1 | [
"Apache-2.0"
] | null | null | null | hrl_dynamic_mpc/src/nlp_opt_traj_final.py | gt-ros-pkg/hrl-haptic-manip | 6458187075033ecd3a22fbcdc1a632df39b0cba1 | [
"Apache-2.0"
] | 2 | 2017-03-08T14:44:22.000Z | 2019-07-15T23:46:35.000Z | #
#
# Copyright (c) 2013, Georgia Tech Research Corporation
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, ... | 34.237805 | 144 | 0.525675 |
6297cf2b280380481eb3920699bd6bee6cde05f9 | 16,042 | py | Python | src/sage/combinat/combination.py | saraedum/sage-renamed | d2da67b14da2ad766a5906425d60d43a3b3e1270 | [
"BSL-1.0"
] | 1 | 2016-11-04T16:31:48.000Z | 2016-11-04T16:31:48.000Z | src/sage/combinat/combination.py | rwst/sage | a9d274b9338e6ee24bf35ea8d25875507e51e455 | [
"BSL-1.0"
] | null | null | null | src/sage/combinat/combination.py | rwst/sage | a9d274b9338e6ee24bf35ea8d25875507e51e455 | [
"BSL-1.0"
] | null | null | null | r"""
Combinations
AUTHORS:
- Mike Hansen (2007): initial implementation
- Vincent Delecroix (2011): cleaning, bug corrections, doctests
"""
#*****************************************************************************
# Copyright (C) 2007 Mike Hansen <mhansen@gmail.com>,
#
# Distributed under the terms of t... | 25.544586 | 86 | 0.46559 |
6297dd5050b2d0882f38476f20d766618d5cafcf | 610 | py | Python | src/util.py | saud-learning-services/canvas-syllabus-scraper | 703c240d5e4b714525f4bc30163ee4c47e06ebee | [
"MIT"
] | null | null | null | src/util.py | saud-learning-services/canvas-syllabus-scraper | 703c240d5e4b714525f4bc30163ee4c47e06ebee | [
"MIT"
] | 9 | 2021-01-12T00:01:54.000Z | 2021-03-23T19:25:14.000Z | src/util.py | saud-learning-services/quiz-response-pdfs | 5e14966b47f7a3175fbcd692202899e778b7efbe | [
"MIT"
] | 1 | 2021-05-14T17:10:31.000Z | 2021-05-14T17:10:31.000Z | """
QUIZ REPORTS: util
authors:
@markoprodanovic
last edit:
Monday, January 12, 2020
"""
from termcolor import cprint
import sys
def print_error(msg):
""" Prints the error message without shutting down the script
Args:
msg (string): Message to print before continuing execution
"""
cprint(f... | 17.941176 | 74 | 0.614754 |
6297f33856f445bac36cc2f924fd6dc22c54e9a2 | 922 | py | Python | python/taichi/lang/snode.py | ericjang/taichi | 0dec0bac6d9c16b7b62ba528f9e0d4268d1d05d2 | [
"MIT"
] | null | null | null | python/taichi/lang/snode.py | ericjang/taichi | 0dec0bac6d9c16b7b62ba528f9e0d4268d1d05d2 | [
"MIT"
] | null | null | null | python/taichi/lang/snode.py | ericjang/taichi | 0dec0bac6d9c16b7b62ba528f9e0d4268d1d05d2 | [
"MIT"
] | null | null | null | from .core import taichi_lang_core
class SNode:
def __init__(self, ptr):
self.ptr = ptr
def dense(self, indices, dimensions):
if isinstance(dimensions, int):
dimensions = [dimensions] * len(indices)
return SNode(self.ptr.dense(indices, dimensions))
def dynamic(self, index, dimension):
ass... | 23.05 | 55 | 0.643167 |
6297fea019a69ca408913ec3c3ff1812e5869b85 | 1,088 | py | Python | oscar/lib/python2.7/site-packages/django_tables2/columns/timecolumn.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/django_tables2/columns/timecolumn.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/django_tables2/columns/timecolumn.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
from __future__ import absolute_import, unicode_literals
from django.conf import settings
from django.db import models
from django_tables2.templatetags.django_tables2 import title
from .base import library
from .templatecolumn import TemplateColumn
@library.register
class TimeColumn(Te... | 32 | 82 | 0.66636 |
629827574f2fc64085990584c4921827888d7c84 | 5,780 | py | Python | practicity/progressTracker/tests.py | pkhurt/practicity | e638a67f091696de15d2852d26f310e3556bdf79 | [
"MIT"
] | null | null | null | practicity/progressTracker/tests.py | pkhurt/practicity | e638a67f091696de15d2852d26f310e3556bdf79 | [
"MIT"
] | null | null | null | practicity/progressTracker/tests.py | pkhurt/practicity | e638a67f091696de15d2852d26f310e3556bdf79 | [
"MIT"
] | null | null | null | import datetime
from django.test import TestCase
from django.utils import timezone
from django.urls import reverse
from .models import Exercise, Execution
# Create your tests here.
def create_practice_session(session_start, days):
"""
Create a practice session with the given session_start and session_end.
... | 42.189781 | 110 | 0.605882 |
6298350dafa0df1f5d4e17d2d211157b8c63872f | 25 | py | Python | btd6_memory_info/generated/System/Xml/Schema/FacetsChecker/facets_checker.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | btd6_memory_info/generated/System/Xml/Schema/FacetsChecker/facets_checker.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | btd6_memory_info/generated/System/Xml/Schema/FacetsChecker/facets_checker.py | 56kyle/bloons_auto | 419d55b51d1cddc49099593970adf1c67985b389 | [
"MIT"
] | null | null | null | class FacetsChecker: pass | 25 | 25 | 0.88 |
62983b9e520120b72cc2c165d40f65faf3b6c603 | 1,121 | py | Python | pysharpen/methods/sharpening/gihs.py | Vladimir-Kozub/pansharpen | 2d6210e09fd1630e66980e6cd539879be17068bf | [
"MIT"
] | 1 | 2021-06-01T21:07:31.000Z | 2021-06-01T21:07:31.000Z | pysharpen/methods/sharpening/gihs.py | Vladimir-Kozub/pansharpen | 2d6210e09fd1630e66980e6cd539879be17068bf | [
"MIT"
] | 6 | 2019-12-30T10:40:44.000Z | 2021-07-30T19:53:58.000Z | pysharpen/methods/sharpening/gihs.py | Vladimir-Kozub/pansharpen | 2d6210e09fd1630e66980e6cd539879be17068bf | [
"MIT"
] | 3 | 2019-10-28T14:54:11.000Z | 2021-03-02T13:33:22.000Z | import numpy as np
from pysharpen.methods.img_proc import ImgProc
from pysharpen.functional import saturate_cast, wider_type
class GIHSPansharpening(ImgProc):
"""
Generalized IHS-like transform for any number of channels.
Formula for the output is: MSpan[i] = MS[i] + pan - mean (MS)
Similar to Brovey,... | 35.03125 | 102 | 0.657449 |
62987463b2ea59682fb86ff99efdd698bded4b9f | 9,876 | py | Python | qcodes/instrument_drivers/Keysight/keysight_e4980a.py | liangosc/Qcodes | 0f0a59fa4953e3ef44031e94459d1ff661f26473 | [
"MIT"
] | null | null | null | qcodes/instrument_drivers/Keysight/keysight_e4980a.py | liangosc/Qcodes | 0f0a59fa4953e3ef44031e94459d1ff661f26473 | [
"MIT"
] | 230 | 2020-08-17T06:08:33.000Z | 2022-03-29T12:06:58.000Z | qcodes/instrument_drivers/Keysight/keysight_e4980a.py | liangosc/Qcodes | 0f0a59fa4953e3ef44031e94459d1ff661f26473 | [
"MIT"
] | null | null | null | from typing import Tuple, Sequence, cast, Any
from qcodes import VisaInstrument, InstrumentChannel
from qcodes.instrument.parameter import MultiParameter
from qcodes.utils.helpers import create_on_off_val_mapping
from qcodes.utils.validators import Enum, Numbers
class MeasurementPair(MultiParameter):
"""
Dat... | 30.959248 | 80 | 0.545059 |
629875dfa6e276eaef2f3e39e75b94f91aa1fb5f | 662 | py | Python | time_series/time_series.py | Betaglutamate/Zwietering_model | c88809d58027b82b8d1a86b771180d020e15d1d7 | [
"MIT"
] | null | null | null | time_series/time_series.py | Betaglutamate/Zwietering_model | c88809d58027b82b8d1a86b771180d020e15d1d7 | [
"MIT"
] | null | null | null | time_series/time_series.py | Betaglutamate/Zwietering_model | c88809d58027b82b8d1a86b771180d020e15d1d7 | [
"MIT"
] | null | null | null | import pandas as pd
import time_series_function as tsf
main_df = pd.read_csv('all_data.csv')
length_window = 20
main_df['OD'] = main_df['OD']-0.005
all_experiment_list = []
for name, experiment in main_df.groupby('experiment'):
all_experiment_list.append(experiment)
train_data = all_experiment_list[1]
test_dat... | 25.461538 | 82 | 0.783988 |
62987e3c086b12fb77b68b9ba22c01f29e377e54 | 6,597 | py | Python | flexget/plugins/input/tail.py | sillygreen89/Flexget | 60f24ab0dda7b94c87ba43451921c50c3cef391f | [
"MIT"
] | 1 | 2018-05-02T21:14:50.000Z | 2018-05-02T21:14:50.000Z | flexget/plugins/input/tail.py | sillygreen89/Flexget | 60f24ab0dda7b94c87ba43451921c50c3cef391f | [
"MIT"
] | null | null | null | flexget/plugins/input/tail.py | sillygreen89/Flexget | 60f24ab0dda7b94c87ba43451921c50c3cef391f | [
"MIT"
] | null | null | null | from __future__ import unicode_literals, division, absolute_import
from builtins import * # pylint: disable=unused-import, redefined-builtin
import io
import os
import re
import logging
from sqlalchemy import Column, Integer, Unicode
from flexget import options, plugin
from flexget.db_schema import versioned_base
f... | 36.854749 | 118 | 0.494467 |
6298a6652a70aa9e895a4a52ab68b151237be420 | 718 | py | Python | media/convert_videos.py | thejoltjoker/python | 4517065e64d83947648e2aad206ac4ec786b166e | [
"MIT"
] | null | null | null | media/convert_videos.py | thejoltjoker/python | 4517065e64d83947648e2aad206ac4ec786b166e | [
"MIT"
] | null | null | null | media/convert_videos.py | thejoltjoker/python | 4517065e64d83947648e2aad206ac4ec786b166e | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
script_name.py
Description of script_name.py.
"""
import subprocess
def convert_videos(file_path, preset=None):
"""Run ffmpeg in subprocess and return the output"""
input = ""
youtube = ["ffmpeg", "-i", input, "-c:v", "libx264", "-movflags", "faststart", "-... | 24.758621 | 208 | 0.56546 |
6299163723bb3783d483481e765fc80ca62384c1 | 120,471 | py | Python | lib/matplotlib/pyplot.py | yuvallanger/matplotlib | e0020d318a9a9685594c6bff4631f74599321459 | [
"MIT",
"BSD-3-Clause"
] | 8 | 2017-04-11T08:55:30.000Z | 2022-03-25T04:31:26.000Z | lib/matplotlib/pyplot.py | epgauss/matplotlib | c9898ea9a30c67c579ab27cd61b68e2abae0fb0e | [
"MIT",
"BSD-3-Clause"
] | null | null | null | lib/matplotlib/pyplot.py | epgauss/matplotlib | c9898ea9a30c67c579ab27cd61b68e2abae0fb0e | [
"MIT",
"BSD-3-Clause"
] | 14 | 2015-10-05T04:15:46.000Z | 2020-06-11T18:06:02.000Z | # Note: The first part of this file can be modified in place, but the latter
# part is autogenerated by the boilerplate.py script.
"""
Provides a MATLAB-like plotting framework.
:mod:`~matplotlib.pylab` combines pyplot with numpy into a single namespace.
This is convenient for interactive work, but for programming it
... | 31.603095 | 98 | 0.62635 |
62991d82331162a17a6382d303dc9927fde26df2 | 13,299 | py | Python | cosmotech_api/model/validator_run.py | Cosmo-Tech/cosmotech-api-python-client | 49ef58784605da8dd6b290cab15b363671991d8e | [
"MIT"
] | null | null | null | cosmotech_api/model/validator_run.py | Cosmo-Tech/cosmotech-api-python-client | 49ef58784605da8dd6b290cab15b363671991d8e | [
"MIT"
] | null | null | null | cosmotech_api/model/validator_run.py | Cosmo-Tech/cosmotech-api-python-client | 49ef58784605da8dd6b290cab15b363671991d8e | [
"MIT"
] | null | null | null | """
Cosmo Tech Plaform API
Cosmo Tech Platform API # noqa: E501
The version of the OpenAPI document: 0.0.11-SNAPSHOT
Contact: platform@cosmotech.com
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from cosmotech_api.model_utils import ( # noqa... | 43.891089 | 121 | 0.564554 |
629935f33fed41d87bc9a314c9a529d9cec45130 | 11,599 | py | Python | utils/train_utils.py | mihamerstan/lidar_ordered_points | ca0aca20cbb5c1434529d4722ee1125b095e37e1 | [
"MIT"
] | 1 | 2021-05-17T19:08:05.000Z | 2021-05-17T19:08:05.000Z | utils/train_utils.py | mihamerstan/lidar_ordered_points | ca0aca20cbb5c1434529d4722ee1125b095e37e1 | [
"MIT"
] | null | null | null | utils/train_utils.py | mihamerstan/lidar_ordered_points | ca0aca20cbb5c1434529d4722ee1125b095e37e1 | [
"MIT"
] | null | null | null | import argparse
import os
import logging
import numpy as np
import random
import sys
import torch
import matplotlib.pyplot as plt
from datetime import datetime
from torch.serialization import default_restore_location
# TODO Update this for new parameters
def add_logging_arguments(parser):
parser.add_argument("--seed... | 49.568376 | 126 | 0.734201 |
6299517249b0da0d97e3ddaca6e1c78144565484 | 2,433 | py | Python | server/danesfield_server/workflow_steps/generate_point_cloud.py | Kitware/Danesfield-App | 70d9f5c7c5af2ca92d274c99175783ea43087592 | [
"Apache-2.0"
] | 25 | 2018-12-19T08:45:13.000Z | 2022-03-27T14:20:42.000Z | server/danesfield_server/workflow_steps/generate_point_cloud.py | Kitware/Danesfield-App | 70d9f5c7c5af2ca92d274c99175783ea43087592 | [
"Apache-2.0"
] | 10 | 2018-11-30T22:21:45.000Z | 2022-01-21T19:43:47.000Z | server/danesfield_server/workflow_steps/generate_point_cloud.py | Kitware/Danesfield-App | 70d9f5c7c5af2ca92d274c99175783ea43087592 | [
"Apache-2.0"
] | 7 | 2018-12-03T21:42:53.000Z | 2021-09-07T17:09:10.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
###############################################################################
# Copyright Kitware Inc. and Contributors
# Distributed under the Apache License, 2.0 (apache.org/licenses/LICENSE-2.0)
# See accompanying Copyright.txt and LICENSE files for details
##########... | 32.878378 | 80 | 0.598849 |
62998baeeff2706c9d15f109ba3820f8d4c46c16 | 12,480 | py | Python | consolemenu/format/menu_borders.py | Admin9705/console-menu | 3e48985a54504ac12fd175250aa0995e56ca6165 | [
"MIT"
] | 1 | 2021-02-17T21:18:32.000Z | 2021-02-17T21:18:32.000Z | consolemenu/format/menu_borders.py | Admin9705/plexguide-menu | ffd024c3da2fb732680dc5f5c1ef5e1f5967ce3a | [
"MIT"
] | null | null | null | consolemenu/format/menu_borders.py | Admin9705/plexguide-menu | ffd024c3da2fb732680dc5f5c1ef5e1f5967ce3a | [
"MIT"
] | null | null | null | import logging
import sys
class MenuBorderStyle(object):
"""
Base class for console menu border. Each propery should be overridden by a subclass.
"""
@property
def bottom_left_corner(self): raise NotImplementedError()
@property
def bottom_right_corner(self): raise NotImplementedError()
... | 31.122195 | 117 | 0.698077 |
6299dee4df24847c46ccb5f8e3760eabb5adbf2c | 3,222 | py | Python | tests/integration/test_glacier.py | Bhaskers-Blu-Org1/ibm-cos-sdk-python-core | dbd5dd4b6362724f068648fad7a6771e20bf994f | [
"Apache-2.0"
] | 6 | 2018-01-18T02:18:28.000Z | 2021-03-16T17:42:48.000Z | tests/integration/test_glacier.py | Bhaskers-Blu-Org1/ibm-cos-sdk-python-core | dbd5dd4b6362724f068648fad7a6771e20bf994f | [
"Apache-2.0"
] | 12 | 2017-09-21T13:55:17.000Z | 2022-01-25T16:48:28.000Z | tests/integration/test_glacier.py | IBM/ibm-cos-sdk-python-core | 18e8a854a2a4fdca7fbb50d5b80fb666734def1f | [
"Apache-2.0"
] | 10 | 2018-01-18T02:17:55.000Z | 2020-06-29T13:50:59.000Z | # Copyright 2014 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompa... | 44.75 | 79 | 0.668839 |
6299ecce789ea1726389d459a5c87c5cffab04e8 | 9,966 | py | Python | src/wavestate/iirrational/v2/algorithms/MRFprogram.py | wavestate/wavestate-iirrational | 01d6dba8b2131fa2a099a74f17e6540f30cee606 | [
"Apache-2.0"
] | null | null | null | src/wavestate/iirrational/v2/algorithms/MRFprogram.py | wavestate/wavestate-iirrational | 01d6dba8b2131fa2a099a74f17e6540f30cee606 | [
"Apache-2.0"
] | null | null | null | src/wavestate/iirrational/v2/algorithms/MRFprogram.py | wavestate/wavestate-iirrational | 01d6dba8b2131fa2a099a74f17e6540f30cee606 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# SPDX-License-Identifier: Apache-2.0
# SPDX-FileCopyrightText: © 2021 Massachusetts Institute of Technology.
# SPDX-FileCopyrightText: © 2021 Lee McCuller <mcculler@mit.edu>
# NOTICE: authors should document their contributions in concisely in NOTICE
# with details inline ... | 30.664615 | 87 | 0.573851 |
6299f677fadb4a2373ef83841d8121c4185ca554 | 325 | py | Python | setup.py | JasonChen47/tiger | 10ab3b071efff9b3bbb9029c114b859e24b1580e | [
"MIT"
] | 4 | 2022-02-25T05:43:04.000Z | 2022-03-28T04:24:41.000Z | setup.py | DIAGNijmegen/pathology-tiger-algorithm-example | 29dfa266451f5bb60041cae3bd30ce999ac0220a | [
"MIT"
] | null | null | null | setup.py | DIAGNijmegen/pathology-tiger-algorithm-example | 29dfa266451f5bb60041cae3bd30ce999ac0220a | [
"MIT"
] | 4 | 2022-03-08T23:33:08.000Z | 2022-03-28T04:24:50.000Z | from setuptools import setup, find_packages
setup(
name="tigeralgorithmexample",
version="0.0.1",
author="Mart van Rijthoven",
author_email="mart.vanrijthoven@gmail.com",
packages=find_packages(),
license="LICENSE.txt",
install_requires=[
"numpy==1.20.2",
"tqdm==4.62.3"
... | 21.666667 | 47 | 0.636923 |
6299fbff506a6fc46a06dcc9cadf80e22a139c95 | 729 | py | Python | migrations/versions/0094_job_stats_update.py | cds-snc/notifier-api | 90b385ec49efbaee7e607516fc7d9f08991af813 | [
"MIT"
] | 41 | 2019-11-28T16:58:41.000Z | 2022-01-28T21:11:16.000Z | migrations/versions/0094_job_stats_update.py | cds-snc/notification-api | b1c1064f291eb860b494c3fa65ac256ad70bf47c | [
"MIT"
] | 1,083 | 2019-07-08T12:57:24.000Z | 2022-03-08T18:53:40.000Z | migrations/versions/0094_job_stats_update.py | cds-snc/notifier-api | 90b385ec49efbaee7e607516fc7d9f08991af813 | [
"MIT"
] | 9 | 2020-01-24T19:56:43.000Z | 2022-01-27T21:36:53.000Z | """empty message
Revision ID: 0094_job_stats_update
Revises: 0093_data_gov_uk
Create Date: 2017-06-06 14:37:30.051647
"""
import sqlalchemy as sa
from alembic import op
# revision identifiers, used by Alembic.
revision = "0094_job_stats_update"
down_revision = "0093_data_gov_uk"
def upgrade():
op.add_column("j... | 28.038462 | 91 | 0.740741 |
6299ff9cd974904a3f85016eb626d38ec0d1cfba | 15,454 | py | Python | oscar/lib/python2.7/site-packages/django/contrib/auth/models.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/django/contrib/auth/models.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | oscar/lib/python2.7/site-packages/django/contrib/auth/models.py | sainjusajan/django-oscar | 466e8edc807be689b0a28c9e525c8323cc48b8e1 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import unicode_literals
from django.contrib import auth
from django.contrib.auth.base_user import AbstractBaseUser, BaseUserManager
from django.contrib.auth.signals import user_logged_in
from django.contrib.contenttypes.models import ContentType
from django.core.exceptions import PermissionDenied... | 34.039648 | 103 | 0.649929 |
629a15feefe712ad26b386adc9faf27885375ba3 | 17,603 | py | Python | dependencies/plot_spherical.py | paytonrodman/athena-analysis | f635338122e15c318dfd754d06cc3dbaa42273d2 | [
"BSD-3-Clause"
] | null | null | null | dependencies/plot_spherical.py | paytonrodman/athena-analysis | f635338122e15c318dfd754d06cc3dbaa42273d2 | [
"BSD-3-Clause"
] | null | null | null | dependencies/plot_spherical.py | paytonrodman/athena-analysis | f635338122e15c318dfd754d06cc3dbaa42273d2 | [
"BSD-3-Clause"
] | null | null | null | #! /usr/bin/env python
"""
Script for plotting vertical (r,theta) or midplane (r,phi) slices of data in
spherical coordinates.
Run "plot_spherical.py -h" to see description of inputs.
See documentation on athena_read.athdf() for important notes about reading files
with mesh refinement.
Users are encouraged to make ... | 43.250614 | 93 | 0.524399 |
629a64953df1482f77bcb84986f8a8762a9b5cea | 1,654 | py | Python | stargan/noise.py | VDIGPKU/CMUA-Watermark | 34152ef7d1c7f6d47488dfd710cc98936fffe43b | [
"MIT"
] | 39 | 2021-12-13T21:59:32.000Z | 2022-03-25T12:44:34.000Z | stargan/noise.py | VDIGPKU/CMUA-Watermark | 34152ef7d1c7f6d47488dfd710cc98936fffe43b | [
"MIT"
] | 2 | 2022-01-19T12:09:23.000Z | 2022-03-28T06:45:13.000Z | stargan/noise.py | VDIGPKU/CMUA-Watermark | 34152ef7d1c7f6d47488dfd710cc98936fffe43b | [
"MIT"
] | 8 | 2021-12-17T12:09:18.000Z | 2022-03-29T15:50:20.000Z | import numpy as np
import os
import cv2
from PIL import Image
def PIL_to_cv2(image):
image = np.array(image)
image = image[:,:,::-1].copy()
return image
def cv2_to_PIL(image):
image = image[:,:,::-1].copy().astype(np.uint8)
image = Image.fromarray(image)
return image
def noisy(noise_typ, imag... | 30.62963 | 64 | 0.564692 |
629a654dfdf3b09f80de889c83e9498255450cc3 | 1,949 | py | Python | code_examples/pytorch/mnist/test_pytorch_popart_mnist.py | Splendon/examples | ed4a8a01857b6ddca49559141acf5d0986eb01e1 | [
"MIT"
] | null | null | null | code_examples/pytorch/mnist/test_pytorch_popart_mnist.py | Splendon/examples | ed4a8a01857b6ddca49559141acf5d0986eb01e1 | [
"MIT"
] | null | null | null | code_examples/pytorch/mnist/test_pytorch_popart_mnist.py | Splendon/examples | ed4a8a01857b6ddca49559141acf5d0986eb01e1 | [
"MIT"
] | null | null | null | #!/usr/bin/python
# Copyright 2019 Graphcore Ltd.
import inspect
import os
import pytest
import sys
import unittest
import tests.test_util as test_util
from pytorch_popart_mnist import get_data_loader
def run_pytorch_mnist(**kwargs):
cwd = os.path.dirname(os.path.abspath(inspect.stack()[0][1]))
return test_... | 27.842857 | 79 | 0.61724 |
629ab5d55c537bc99f15f03c9c3884a90aab0c6e | 201 | py | Python | cubelang/postprocessing/__init__.py | poletaevvlad/CubeLang | 06f34e7204f4656589eb33c4afe660383704861f | [
"MIT"
] | 1 | 2019-12-04T04:02:11.000Z | 2019-12-04T04:02:11.000Z | cubelang/postprocessing/__init__.py | poletaevvlad/CubeLang | 06f34e7204f4656589eb33c4afe660383704861f | [
"MIT"
] | null | null | null | cubelang/postprocessing/__init__.py | poletaevvlad/CubeLang | 06f34e7204f4656589eb33c4afe660383704861f | [
"MIT"
] | null | null | null | from .optimizer import OptimizingPostprocessor
from .formatter import FormattingPostprocessor
from .orientation_freezer import OrientationFreezePostprocessor
from .base import chain, PostprocessorBase
| 40.2 | 63 | 0.890547 |
629acedda5c5f064757f4177f09affe5605bd498 | 21,853 | py | Python | tensorflow/python/kernel_tests/fft_ops_test.py | tianyapiaozi/tensorflow | fb3ce0467766a8e91f1da0ad7ada7c24fde7a73a | [
"Apache-2.0"
] | 71 | 2017-05-25T16:02:15.000Z | 2021-06-09T16:08:08.000Z | tensorflow/python/kernel_tests/fft_ops_test.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 133 | 2017-04-26T16:49:49.000Z | 2019-10-15T11:39:26.000Z | tensorflow/python/kernel_tests/fft_ops_test.py | shrikunjsarda/tensorflow | 7e8927e7af0c51ac20a63bd4eab6ff83df1a39ae | [
"Apache-2.0"
] | 31 | 2018-09-11T02:17:17.000Z | 2021-12-15T10:33:35.000Z | # Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 40.393715 | 80 | 0.601107 |
629ad4920f42bcba6a10d13760f8c440ec2764d9 | 10,666 | py | Python | assignment1/cs231n/classifiers/neural_net.py | wondervictor/CS231n-Assignments | 41f05a441ce21fe478f4a4693bee131c616e66f4 | [
"MIT"
] | null | null | null | assignment1/cs231n/classifiers/neural_net.py | wondervictor/CS231n-Assignments | 41f05a441ce21fe478f4a4693bee131c616e66f4 | [
"MIT"
] | null | null | null | assignment1/cs231n/classifiers/neural_net.py | wondervictor/CS231n-Assignments | 41f05a441ce21fe478f4a4693bee131c616e66f4 | [
"MIT"
] | 1 | 2018-02-26T12:15:09.000Z | 2018-02-26T12:15:09.000Z | from __future__ import print_function
import numpy as np
import matplotlib.pyplot as plt
from past.builtins import xrange
class TwoLayerNet(object):
"""
A two-layer fully-connected neural network. The net has an input dimension of
N, a hidden layer dimension of H, and performs classification over C classes.
W... | 42.494024 | 81 | 0.503469 |
629b00d30a2b229b4a92567ae23f45a1af718207 | 2,765 | py | Python | adrenaline/tests/deployment/boot/deployer.py | anniyanvr/snaps-kubernetes | 6114d15fdb476a2235cd73bd9118072c698ba045 | [
"Apache-2.0"
] | 20 | 2018-07-24T23:32:11.000Z | 2021-11-08T10:28:45.000Z | adrenaline/tests/deployment/boot/deployer.py | anniyanvr/snaps-kubernetes | 6114d15fdb476a2235cd73bd9118072c698ba045 | [
"Apache-2.0"
] | 195 | 2018-07-25T19:59:44.000Z | 2021-12-15T04:39:27.000Z | adrenaline/tests/deployment/boot/deployer.py | anniyanvr/snaps-kubernetes | 6114d15fdb476a2235cd73bd9118072c698ba045 | [
"Apache-2.0"
] | 7 | 2018-08-23T11:35:57.000Z | 2020-06-29T08:25:25.000Z | # Copyright 2018 ARICENT HOLDINGS LUXEMBOURG SARL and Cable Television
# Laboratories, Inc.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | 41.893939 | 78 | 0.731646 |
629b15a529f61d87d96c6212c5015a9011da33db | 214 | py | Python | src/examples/reference/ambientlight.py | agarwalnaimish/pyprocessing | 46695c379c95a7b874f76257c37f44f4b59d39e9 | [
"MIT"
] | 3 | 2018-04-23T17:33:02.000Z | 2021-01-05T04:52:36.000Z | src/examples/reference/ambientlight.py | agarwalnaimish/pyprocessing | 46695c379c95a7b874f76257c37f44f4b59d39e9 | [
"MIT"
] | 1 | 2018-04-23T17:37:37.000Z | 2018-04-23T17:37:37.000Z | src/examples/reference/ambientlight.py | agarwalnaimish/pyprocessing | 46695c379c95a7b874f76257c37f44f4b59d39e9 | [
"MIT"
] | 2 | 2019-01-16T06:34:52.000Z | 2019-10-15T14:03:07.000Z | from pyprocessing import *
background(0);
noStroke();
directionalLight(126, 126, 126, 0, 0, -1);
ambientLight(102, 102, 102);
translate(32, 50, 0);
rotateY(PI/5);
box(40);
translate(60, 0, 0);
sphere(30);
run()
| 14.266667 | 42 | 0.668224 |
629b2c517a7287ace85a102b6d62a9a8c1a66150 | 7,410 | py | Python | bpycv/hdri_manager.py | Pandinosaurus/bpycv | c576e01622d87eb3534f73bf1a5686bd2463de97 | [
"MIT"
] | 248 | 2019-12-29T15:05:26.000Z | 2022-03-28T01:53:08.000Z | bpycv/hdri_manager.py | alphastrata/bpycv | 838a8a2750101318e1c461d475bb5152e26d606c | [
"MIT"
] | 33 | 2020-01-07T06:58:06.000Z | 2022-03-15T03:11:01.000Z | bpycv/hdri_manager.py | alphastrata/bpycv | 838a8a2750101318e1c461d475bb5152e26d606c | [
"MIT"
] | 39 | 2020-01-14T14:44:03.000Z | 2022-03-27T22:15:51.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
@author: DIYer22@github
@mail: ylxx@live.com
Created on Sun Jan 12 17:06:39 2020
"""
import boxx
from boxx import *
from boxx import os, setTimeout, mapmt, timegap, sleep, pathjoin
import random
import glob
from bs4 import BeautifulSoup
import requests
import urllib.... | 33.2287 | 89 | 0.490958 |
629b93a2b2bbb6f4363e558e802e0fde4cb550b0 | 4,961 | py | Python | utility/cog/character/ability/ability.py | DrLarck/DiscordBallZ_ | c274e26efce4c5a757d258c54bc285d118618751 | [
"MIT"
] | 4 | 2020-01-19T13:53:43.000Z | 2020-01-20T13:34:17.000Z | utility/cog/character/ability/ability.py | DrLarck/DiscordBallZ_ | c274e26efce4c5a757d258c54bc285d118618751 | [
"MIT"
] | 18 | 2020-01-19T17:52:17.000Z | 2020-02-17T15:06:13.000Z | utility/cog/character/ability/ability.py | DrLarck/DiscordBallZ_ | c274e26efce4c5a757d258c54bc285d118618751 | [
"MIT"
] | 1 | 2020-01-19T16:33:19.000Z | 2020-01-19T16:33:19.000Z | """
Ability super class.
--
Author : DrLarck
Last update : 25/02/20 (DrLarck)
"""
# dependance
import asyncio
import random
# graphic
from configuration.icon import game_icon
# damage object
from utility.cog.combat_system.damage.damage import Damage
# super class
class Ability:
"""
Represents an ability.... | 22.756881 | 105 | 0.582544 |
629bdd20be7e55d798fa809508ef23957f17b4ea | 4,823 | py | Python | common_osint_model/certificate.py | 3c7/common-osint-model | 4c1253833a96eb236f4d1770e58f20af6e710bcd | [
"MIT"
] | 27 | 2020-06-06T08:31:33.000Z | 2022-02-19T16:58:25.000Z | common_osint_model/certificate.py | 3c7/common-osint-model | 4c1253833a96eb236f4d1770e58f20af6e710bcd | [
"MIT"
] | 5 | 2020-06-09T10:03:35.000Z | 2021-10-18T12:47:46.000Z | common_osint_model/certificate.py | 3c7/common-osint-model | 4c1253833a96eb236f4d1770e58f20af6e710bcd | [
"MIT"
] | 5 | 2020-06-06T20:05:25.000Z | 2021-01-15T12:09:32.000Z | from cryptography.x509 import load_pem_x509_certificate
from cryptography.x509.extensions import SubjectAlternativeName
from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives.hashes import MD5, SHA1, SHA256
from cryptography.hazmat.backends.openssl.x509 import _Certificate as Certi... | 37.976378 | 115 | 0.659963 |
629c24ed5c21c3ede2d09bce1819db041f1bf656 | 1,968 | py | Python | openapi_core/schema/specs/models.py | grktsh/openapi-core | d4ada7bcbb9b13f5c5dd090988c35be7a0d141b7 | [
"BSD-3-Clause"
] | null | null | null | openapi_core/schema/specs/models.py | grktsh/openapi-core | d4ada7bcbb9b13f5c5dd090988c35be7a0d141b7 | [
"BSD-3-Clause"
] | null | null | null | openapi_core/schema/specs/models.py | grktsh/openapi-core | d4ada7bcbb9b13f5c5dd090988c35be7a0d141b7 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""OpenAPI core specs models module"""
import logging
from openapi_core.compat import partialmethod
from openapi_core.schema.operations.exceptions import InvalidOperation
from openapi_core.schema.servers.exceptions import InvalidServer
log = logging.getLogger(__name__)
class Spec(object):
... | 32.8 | 70 | 0.691057 |
629c45d7fbffd9e7205af28112461f62e500bf69 | 3,379 | py | Python | mlutils/thirdparty/sklearn_metrics.py | DSciLab/mlutils | 352af36f2b34218b6551254f641427b7bbdd0f31 | [
"MIT"
] | null | null | null | mlutils/thirdparty/sklearn_metrics.py | DSciLab/mlutils | 352af36f2b34218b6551254f641427b7bbdd0f31 | [
"MIT"
] | null | null | null | mlutils/thirdparty/sklearn_metrics.py | DSciLab/mlutils | 352af36f2b34218b6551254f641427b7bbdd0f31 | [
"MIT"
] | null | null | null | import numpy as np
from sklearn.utils import _deprecate_positional_args
from sklearn.metrics import confusion_matrix
@_deprecate_positional_args
def cohen_kappa_score(y1, y2, *, labels=None, weights=None,
sample_weight=None):
r"""Cohen's kappa: a statistic that measures inter-annotator agree... | 45.053333 | 79 | 0.648417 |
629c5347cbf11375f62a1b63323ea0ca8ef1dde9 | 14,044 | py | Python | samples/balloon/balloon.py | Tauffer-Consulting/Mask_RCNN | a421160f5a337a72548b78a5064095c71791e0a1 | [
"MIT"
] | 23,299 | 2017-11-01T23:43:28.000Z | 2022-03-31T07:09:31.000Z | samples/balloon/balloon.py | Tauffer-Consulting/Mask_RCNN | a421160f5a337a72548b78a5064095c71791e0a1 | [
"MIT"
] | 2,642 | 2017-11-01T23:55:06.000Z | 2022-03-31T06:06:30.000Z | samples/balloon/balloon.py | Tauffer-Consulting/Mask_RCNN | a421160f5a337a72548b78a5064095c71791e0a1 | [
"MIT"
] | 11,244 | 2017-11-02T00:04:58.000Z | 2022-03-31T02:36:09.000Z | """
Mask R-CNN
Train on the toy Balloon dataset and implement color splash effect.
Copyright (c) 2018 Matterport, Inc.
Licensed under the MIT License (see LICENSE for details)
Written by Waleed Abdulla
------------------------------------------------------------
Usage: import the module (see Jupyter notebooks for ex... | 37.854447 | 94 | 0.587582 |
629c62c27d9c1442051f571a38f69509a18ce948 | 18,476 | py | Python | libs/applibs/compendium/c15sports.py | olom70/kutpMD | 2502ce151a0170504b7aa9581d081c755848f060 | [
"MIT"
] | null | null | null | libs/applibs/compendium/c15sports.py | olom70/kutpMD | 2502ce151a0170504b7aa9581d081c755848f060 | [
"MIT"
] | 4 | 2021-06-08T21:33:38.000Z | 2022-03-12T00:29:28.000Z | libs/applibs/compendium/c15sports.py | olom70/kutpMD | 2502ce151a0170504b7aa9581d081c755848f060 | [
"MIT"
] | null | null | null | import os
import sys
import libs.applibs.compendium.abstractcompendium as abstractcompendium
class Sports(abstractcompendium.Compendium):
def __init__(self):
super().__init__()
self.metValue = {15000 : 5.5
,15010 : 4.3
,15020 : 7.0
,15030 : 5.5
,... | 47.253197 | 194 | 0.529985 |
629c638af571dd2d1e8e45a4c49bdbe3f6542ce0 | 729 | py | Python | data/degrees.py | EQt/treelas | 24a5cebf101180822198806c0a4131b0efb7a36d | [
"MIT"
] | 3 | 2020-06-18T13:31:26.000Z | 2021-04-05T17:42:56.000Z | data/degrees.py | EQt/treelas | 24a5cebf101180822198806c0a4131b0efb7a36d | [
"MIT"
] | null | null | null | data/degrees.py | EQt/treelas | 24a5cebf101180822198806c0a4131b0efb7a36d | [
"MIT"
] | null | null | null | import sys
from os import path
from treelas import Tree
def print_deg_stats(fname="dimacs10/europe_0.tree", out=sys.stdout):
"""
Parse HDF5 file containing "parent" array and
printout a line of a TeX table containing some statistics about
the degree distribution.
"""
t = Tree.load(fname)
n... | 28.038462 | 73 | 0.540466 |
629c64dc876b8d0b13b1a70942be863a291c711e | 2,561 | py | Python | cuchem/cuchem/api/__init__.py | dorukozturk/cheminformatics | c0fa66dd4f4e6650d7286ae2be533c66b7a2b270 | [
"Apache-2.0"
] | null | null | null | cuchem/cuchem/api/__init__.py | dorukozturk/cheminformatics | c0fa66dd4f4e6650d7286ae2be533c66b7a2b270 | [
"Apache-2.0"
] | null | null | null | cuchem/cuchem/api/__init__.py | dorukozturk/cheminformatics | c0fa66dd4f4e6650d7286ae2be533c66b7a2b270 | [
"Apache-2.0"
] | null | null | null | import logging
import os
import werkzeug
werkzeug.cached_property = werkzeug.utils.cached_property
from flask import Blueprint, Flask, send_file, json
from flask.globals import current_app
from flask.helpers import safe_join
from flask_restplus import Api
from werkzeug.exceptions import HTTPException
from werkzeug.ht... | 27.537634 | 78 | 0.674736 |
629c68960d29d5dbb7bde7b27e4a2dd94b252cbd | 1,613 | py | Python | tests/test_provider_ns1_terraform_ns1.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 507 | 2017-07-26T02:58:38.000Z | 2022-01-21T12:35:13.000Z | tests/test_provider_ns1_terraform_ns1.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 135 | 2017-07-20T12:01:59.000Z | 2021-10-04T22:25:40.000Z | tests/test_provider_ns1_terraform_ns1.py | mjuenema/python-terrascript | 6d8bb0273a14bfeb8ff8e950fe36f97f7c6e7b1d | [
"BSD-2-Clause"
] | 81 | 2018-02-20T17:55:28.000Z | 2022-01-31T07:08:40.000Z | # tests/test_provider_ns1-terraform_ns1.py
# Automatically generated by tools/makecode.py (24-Sep-2021 15:22:51 UTC)
def test_provider_import():
import terrascript.provider.ns1_terraform.ns1
def test_resource_import():
from terrascript.resource.ns1_terraform.ns1 import ns1_apikey
from terrascript.resou... | 30.433962 | 80 | 0.787973 |
629c68f2cdb769c51d16e09f88048e1a92d86c74 | 1,279 | py | Python | app/api/crud/admin.py | flych3r/spotify-tracker | 306d549da6a57866ea480c85286d870e7653a1eb | [
"MIT"
] | 2 | 2021-06-25T00:24:13.000Z | 2021-07-10T13:00:39.000Z | app/api/crud/admin.py | flych3r/spotify-tracker | 306d549da6a57866ea480c85286d870e7653a1eb | [
"MIT"
] | null | null | null | app/api/crud/admin.py | flych3r/spotify-tracker | 306d549da6a57866ea480c85286d870e7653a1eb | [
"MIT"
] | 2 | 2021-05-16T01:40:39.000Z | 2021-07-10T12:59:07.000Z | from typing import Dict, List, Text, Union
from app.database.schema import User, UserToken
async def get_all_users():
"""Gets all users from db."""
return await User.objects.all()
async def update_user(user: User):
"""Updates user on db."""
user = await user.update()
await UserToken.objects.cre... | 29.744186 | 70 | 0.643471 |
629c97e7858b56d63ac2e19479f66a70cb8f1b18 | 647 | py | Python | push_notifications/migrations/0005_auto_20161117_1306.py | menaweb/django-push-notifications | 040619e200ddcec508398515eb2b203d8b406bac | [
"MIT"
] | null | null | null | push_notifications/migrations/0005_auto_20161117_1306.py | menaweb/django-push-notifications | 040619e200ddcec508398515eb2b203d8b406bac | [
"MIT"
] | null | null | null | push_notifications/migrations/0005_auto_20161117_1306.py | menaweb/django-push-notifications | 040619e200ddcec508398515eb2b203d8b406bac | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.dev20161116224037 on 2016-11-17 13:06
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('push_notifications', '0004_fcm'),
]
operations = [
migratio... | 30.809524 | 219 | 0.656878 |
629ca4219f88eeb2edb6de5704bc8d45e7e23d5c | 61,592 | py | Python | lib/XChemMain.py | francois-gaillot/XChemExplorer | 43298b32ea6e2aebcf064635f96727034712c05c | [
"MIT"
] | 10 | 2016-01-10T16:12:45.000Z | 2021-11-23T11:33:20.000Z | lib/XChemMain.py | francois-gaillot/XChemExplorer | 43298b32ea6e2aebcf064635f96727034712c05c | [
"MIT"
] | 6 | 2017-04-07T16:27:27.000Z | 2021-05-20T16:41:02.000Z | lib/XChemMain.py | francois-gaillot/XChemExplorer | 43298b32ea6e2aebcf064635f96727034712c05c | [
"MIT"
] | 8 | 2016-10-28T14:40:44.000Z | 2021-01-15T10:34:30.000Z | # last edited: 15/05/2017, 15:00
import os,glob
import sys
import subprocess
import getpass
import gzip
from datetime import datetime
from PyQt4 import QtGui, QtCore
sys.path.append(os.path.join(os.getenv('XChemExplorer_DIR'),'lib'))
import XChemDB
import XChemLog
def space_group_list():
space_group_list = [... | 47.931518 | 429 | 0.535037 |
629d06fc635c7bae98cf1cf77a7249b67b9e94e4 | 3,399 | py | Python | ngraph/frontends/onnx/onnx_importer/backend.py | NervanaSystems/ngraph-python | ac032c83c7152b615a9ad129d54d350f9d6a2986 | [
"Apache-2.0"
] | 18 | 2018-03-19T04:16:49.000Z | 2021-02-08T14:44:58.000Z | ngraph/frontends/onnx/onnx_importer/backend.py | rsumner31/ngraph | 5e5c9bb9f24d95aee190b914dd2d44122fc3be53 | [
"Apache-2.0"
] | 2 | 2019-04-16T06:41:49.000Z | 2019-05-06T14:08:13.000Z | ngraph/frontends/onnx/onnx_importer/backend.py | rsumner31/ngraph | 5e5c9bb9f24d95aee190b914dd2d44122fc3be53 | [
"Apache-2.0"
] | 11 | 2018-06-16T15:59:08.000Z | 2021-03-06T00:45:30.000Z | # ******************************************************************************
# Copyright 2018 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.o... | 41.45122 | 96 | 0.677552 |
629d12fc758be66a2d27c8c3fa88277461dc135f | 1,671 | py | Python | apps/agendas/admin/appointment.py | victoraguilarc/agendas | 31b24a2d6350605b638b59062f297ef3f58e9879 | [
"MIT"
] | 2 | 2020-06-06T23:10:27.000Z | 2020-10-06T19:12:26.000Z | apps/agendas/admin/appointment.py | victoraguilarc/medical-appointment | 31b24a2d6350605b638b59062f297ef3f58e9879 | [
"MIT"
] | 3 | 2021-04-08T20:44:38.000Z | 2021-09-22T19:04:16.000Z | apps/agendas/admin/appointment.py | victoraguilarc/agendas | 31b24a2d6350605b638b59062f297ef3f58e9879 | [
"MIT"
] | 1 | 2020-10-10T14:07:37.000Z | 2020-10-10T14:07:37.000Z | # -*- coding: utf-8 -*-
from django.contrib import admin
from django.http import HttpResponseRedirect
from django.urls import reverse, path
from django.utils.html import format_html
from apps.agendas.models import Appointment
from apps.agendas.services.appointment import AppointmentService
@admin.register(Appointme... | 30.381818 | 95 | 0.645721 |
629d2ae9ada64455dfd932e527b3e7235ca029db | 57 | py | Python | aiopvapi/__version__.py | sander76/aio-powerview-api | 89711e2a0cb4640eb458767d289dcfa3acafb10f | [
"BSD-3-Clause"
] | 6 | 2018-05-31T00:00:34.000Z | 2022-02-21T21:57:55.000Z | aiopvapi/__version__.py | sander76/aio-powerview-api | 89711e2a0cb4640eb458767d289dcfa3acafb10f | [
"BSD-3-Clause"
] | 16 | 2017-10-07T02:48:22.000Z | 2022-03-21T13:06:41.000Z | aiopvapi/__version__.py | sander76/aio-powerview-api | 89711e2a0cb4640eb458767d289dcfa3acafb10f | [
"BSD-3-Clause"
] | 10 | 2017-10-10T15:51:20.000Z | 2022-01-13T20:17:00.000Z | """Aio PowerView api version."""
__version__ = "1.6.19"
| 14.25 | 32 | 0.649123 |
629d2fdc4324b83343af0b5a2df823c934b5df9c | 11,614 | py | Python | lang/py3/avro/protocol.py | gth828r/avro-python3 | c8379728b4a762d99262e526fb53f631076fb143 | [
"Apache-2.0"
] | 21 | 2015-09-11T19:52:23.000Z | 2021-12-17T02:50:47.000Z | lang/py3/avro/protocol.py | gth828r/avro-python3 | c8379728b4a762d99262e526fb53f631076fb143 | [
"Apache-2.0"
] | 16 | 2018-03-15T23:11:29.000Z | 2021-09-20T12:45:54.000Z | lang/py3/avro/protocol.py | gth828r/avro-python3 | c8379728b4a762d99262e526fb53f631076fb143 | [
"Apache-2.0"
] | 25 | 2018-01-05T15:13:55.000Z | 2021-12-10T20:01:28.000Z | #!/usr/bin/env python3
# -*- mode: python -*-
# -*- coding: utf-8 -*-
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you... | 28.818859 | 81 | 0.662821 |
629d3189afc24f5ae85d28aa37a8eada3e982765 | 4,272 | py | Python | pjinoise/cli.py | pji/pjinoise | 3967d69fa57be1136cdeb8f4a5d187ee455fa783 | [
"MIT"
] | 1 | 2021-04-07T06:20:55.000Z | 2021-04-07T06:20:55.000Z | pjinoise/cli.py | pji/pjinoise | 3967d69fa57be1136cdeb8f4a5d187ee455fa783 | [
"MIT"
] | null | null | null | pjinoise/cli.py | pji/pjinoise | 3967d69fa57be1136cdeb8f4a5d187ee455fa783 | [
"MIT"
] | null | null | null | """
cli
~~~
Run the command line for the pjinoise module.
"""
import argparse
from typing import Callable, List
from pjinoise import filters as f
from pjinoise import model as m
from pjinoise import operations as op
from pjinoise import sources as s
from pjinoise.common import get_format
def _build_source(name: str... | 27.56129 | 67 | 0.484082 |
629d5048b1f5464fd82b227ac6a8f519972599cd | 15,221 | py | Python | pterasoftware/steady_horseshoe_vortex_lattice_method.py | camUrban/PteraSoftware | cd5163aa2cc5ea76a906b271d9d9958ad99e57bd | [
"MIT"
] | 68 | 2020-07-18T20:49:37.000Z | 2022-03-23T21:07:35.000Z | pterasoftware/steady_horseshoe_vortex_lattice_method.py | camUrban/PteraSoftware | cd5163aa2cc5ea76a906b271d9d9958ad99e57bd | [
"MIT"
] | 13 | 2020-08-20T04:56:44.000Z | 2022-03-27T14:34:02.000Z | pterasoftware/steady_horseshoe_vortex_lattice_method.py | camUrban/PteraSoftware | cd5163aa2cc5ea76a906b271d9d9958ad99e57bd | [
"MIT"
] | 17 | 2020-07-23T22:26:31.000Z | 2022-03-27T12:34:27.000Z | """ This module contains the class definition of this package's steady horseshoe
vortex lattice solver.
This module contains the following classes:
SteadyHorseshoeVortexLatticeMethodSolver: This is an aerodynamics solver that
uses a steady horseshoe vortex lattice method.
This module contains the following ex... | 43.613181 | 88 | 0.664345 |
629d58c0ea39766832395fd1f7e5b9b707dac5d3 | 37,751 | py | Python | nova/tests/cells/test_cells_manager.py | rossella/nova | 9b1180d5a09227604a470cb9d0790b57daf1b6d7 | [
"Apache-2.0"
] | null | null | null | nova/tests/cells/test_cells_manager.py | rossella/nova | 9b1180d5a09227604a470cb9d0790b57daf1b6d7 | [
"Apache-2.0"
] | null | null | null | nova/tests/cells/test_cells_manager.py | rossella/nova | 9b1180d5a09227604a470cb9d0790b57daf1b6d7 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2012 Rackspace Hosting
# 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 req... | 46.548705 | 79 | 0.606103 |
629d799ac3110b7ed3953156056f114094c96f90 | 607 | py | Python | tikz2graphml/__main__.py | ysahil97/tikz-to-yed-graphml | de3cc51675b9d09c68445ac7f40cccd64a28e448 | [
"Apache-2.0"
] | null | null | null | tikz2graphml/__main__.py | ysahil97/tikz-to-yed-graphml | de3cc51675b9d09c68445ac7f40cccd64a28e448 | [
"Apache-2.0"
] | 3 | 2019-05-03T04:46:19.000Z | 2019-05-03T04:47:01.000Z | tikz2graphml/__main__.py | ysahil97/tikz-to-yed-graphml | de3cc51675b9d09c68445ac7f40cccd64a28e448 | [
"Apache-2.0"
] | null | null | null | import tkinter
import logging
from tikz2graphml.Gui import Gui
logging.basicConfig(format='%(levelname)-1s : [%(filename)s:%(lineno)d] %(message)s')
logger = logging.getLogger()
logger.setLevel(logging.INFO)
def main():
# Right now, we use GUI(default) to take in Tikz files and output
# in specified directory... | 23.346154 | 85 | 0.663921 |
629d7b01fa8f1611ab51ce41d1d2c0537bc7e099 | 3,485 | py | Python | dispatcher.py | vascocandeias/maestro-cloud | 15e8407a60f77664cb3e6bd083b63bdec52fcbfc | [
"Apache-2.0"
] | null | null | null | dispatcher.py | vascocandeias/maestro-cloud | 15e8407a60f77664cb3e6bd083b63bdec52fcbfc | [
"Apache-2.0"
] | null | null | null | dispatcher.py | vascocandeias/maestro-cloud | 15e8407a60f77664cb3e6bd083b63bdec52fcbfc | [
"Apache-2.0"
] | null | null | null | import boto3
import datetime
import json
import os
import time
QUEUE_NAME = os.environ['QUEUE_NAME']
IDENTITY_POOL_ID = os.environ['IDENTITY_POOL_ID']
COGNITO_USER_POOL = os.environ['COGNITO_USER_POOL']
AMI = os.environ['AMI']
INSTANCE_TYPE = os.environ['INSTANCE_TYPE']
IAM_ARN = os.environ['IAM_ARN']
DAYS = 3
ec2 ... | 29.285714 | 196 | 0.632138 |
629d7c11ab9aaf99978bee799af8c5ae3ef0dbc5 | 19,965 | py | Python | snntoolbox/simulation/target_simulators/pyNN_target_sim.py | sunpengfei1122/snn_toolbox | 3bdbe329eccd74952989cc704e65567b6bf8b168 | [
"MIT"
] | null | null | null | snntoolbox/simulation/target_simulators/pyNN_target_sim.py | sunpengfei1122/snn_toolbox | 3bdbe329eccd74952989cc704e65567b6bf8b168 | [
"MIT"
] | null | null | null | snntoolbox/simulation/target_simulators/pyNN_target_sim.py | sunpengfei1122/snn_toolbox | 3bdbe329eccd74952989cc704e65567b6bf8b168 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Building and simulating spiking neural networks using
`pyNN <http://neuralensemble.org/docs/PyNN/>`_.
@author: rbodo
"""
from __future__ import division, absolute_import
from __future__ import print_function, unicode_literals
import os
import sys
import time
import warnings
... | 37.178771 | 80 | 0.576709 |
629d972548cefb1311dd4d2dba858c61d40dc8f9 | 1,019 | py | Python | python/array/0498_diagonal_traverse.py | linshaoyong/leetcode | ea052fad68a2fe0cbfa5469398508ec2b776654f | [
"MIT"
] | 6 | 2019-07-15T13:23:57.000Z | 2020-01-22T03:12:01.000Z | python/array/0498_diagonal_traverse.py | linshaoyong/leetcode | ea052fad68a2fe0cbfa5469398508ec2b776654f | [
"MIT"
] | null | null | null | python/array/0498_diagonal_traverse.py | linshaoyong/leetcode | ea052fad68a2fe0cbfa5469398508ec2b776654f | [
"MIT"
] | 1 | 2019-07-24T02:15:31.000Z | 2019-07-24T02:15:31.000Z | class Solution(object):
def findDiagonalOrder(self, matrix):
"""
:type matrix: List[List[int]]
:rtype: List[int]
"""
if len(matrix) == 0:
return []
r, c, m, n = 0, 0, len(matrix), len(matrix[0])
arr = []
for _ in range(m * n):
a... | 26.128205 | 63 | 0.313052 |
629dc0f02277c30a1f06564406d2a28d1dd15096 | 1,729 | py | Python | migrations/versions/52ae2f07ac3a_.py | quaintm/octopus | 95a732207ee5f43cd0065d8ea6c643cbf3df2d61 | [
"BSD-3-Clause"
] | null | null | null | migrations/versions/52ae2f07ac3a_.py | quaintm/octopus | 95a732207ee5f43cd0065d8ea6c643cbf3df2d61 | [
"BSD-3-Clause"
] | null | null | null | migrations/versions/52ae2f07ac3a_.py | quaintm/octopus | 95a732207ee5f43cd0065d8ea6c643cbf3df2d61 | [
"BSD-3-Clause"
] | null | null | null | """empty message
Revision ID: 52ae2f07ac3a
Revises: 21224843faf
Create Date: 2014-12-08 16:17:50.324073
"""
# revision identifiers, used by Alembic.
revision = '52ae2f07ac3a'
down_revision = '21224843faf'
from alembic import op
import sqlalchemy as sa
def upgrade():
# ## commands auto generated by Alembic - ple... | 35.285714 | 75 | 0.623482 |
629dc67d4717ec2512a810097adfa8e18926c685 | 1,131 | py | Python | src/robot/result/messagefilter.py | bradyarthur/RobotFramework | f45747dfec1095359379ba0088cecd955a83e576 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | src/robot/result/messagefilter.py | bradyarthur/RobotFramework | f45747dfec1095359379ba0088cecd955a83e576 | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-01-21T03:06:37.000Z | 2021-01-21T03:06:37.000Z | src/robot/result/messagefilter.py | bradyarthur/RobotFramework | f45747dfec1095359379ba0088cecd955a83e576 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # Copyright 2008-2015 Nokia Networks
# Copyright 2016- Robot Framework Foundation
#
# 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
... | 36.483871 | 78 | 0.740937 |
629dc834d3af29aabf90d5da349718bd5cf6b606 | 2,035 | py | Python | docs/conf.py | liujiantong/vollib | feefc40e817add7d1b166cd343c957142858fabf | [
"MIT"
] | null | null | null | docs/conf.py | liujiantong/vollib | feefc40e817add7d1b166cd343c957142858fabf | [
"MIT"
] | null | null | null | docs/conf.py | liujiantong/vollib | feefc40e817add7d1b166cd343c957142858fabf | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#
# vollib documentation build configuration file, created by
# sphinx-quickstart on Wed Apr 1 19:21:03 2015.
#
import sys
import os
sys.path.append('..')
# -- General configuration ------------------------------------------------
extensions = [
'sphinx.ext.autodoc',
'matplotlib.sph... | 25.4375 | 83 | 0.618673 |
629de5a979a98f1102167e0203814f6fca6aa4f6 | 4,966 | py | Python | apps/sushi/management/commands/fetch_sushi_reports.py | remocrevo/celus | 682b13168eb475d7f970502113e756e40a899877 | [
"MIT"
] | null | null | null | apps/sushi/management/commands/fetch_sushi_reports.py | remocrevo/celus | 682b13168eb475d7f970502113e756e40a899877 | [
"MIT"
] | null | null | null | apps/sushi/management/commands/fetch_sushi_reports.py | remocrevo/celus | 682b13168eb475d7f970502113e756e40a899877 | [
"MIT"
] | null | null | null | import concurrent.futures
from time import sleep
from dateparser import parse as parse_date
from django.core.management.base import BaseCommand
from core.logic.dates import month_start, month_end
from sushi.models import SushiCredentials, CounterReportType, SushiFetchAttempt
class Command(BaseCommand):
help =... | 48.686275 | 96 | 0.60592 |
629dff594cabb754f80b2a7fd92ed75173ab3641 | 6,421 | py | Python | models/resnet18_3d_f2f.py | dongzhuoyao/video-query-in-the-wild | 41b015b3993d926c5d9bf02ec4402e7b9edac568 | [
"Unlicense"
] | null | null | null | models/resnet18_3d_f2f.py | dongzhuoyao/video-query-in-the-wild | 41b015b3993d926c5d9bf02ec4402e7b9edac568 | [
"Unlicense"
] | null | null | null | models/resnet18_3d_f2f.py | dongzhuoyao/video-query-in-the-wild | 41b015b3993d926c5d9bf02ec4402e7b9edac568 | [
"Unlicense"
] | null | null | null | import torch.nn as nn
from collections import OrderedDict
import torch
class BasicBlock(nn.Module):
expansion = 1
def __init__(
self,
inplanes,
planes,
stride=1,
downsample=None,
groups=1,
base_width=64,
dilation=1,
norm_layer=None,
... | 30.870192 | 90 | 0.50475 |
629e26e295ebe12324af3ef3892bd3024c369454 | 4,978 | py | Python | quizzes/migrations/0001_initial.py | aeronlroach/django-quiz | 96c0965138d56e8d3b335edb6d6b7c3f67753031 | [
"MIT"
] | null | null | null | quizzes/migrations/0001_initial.py | aeronlroach/django-quiz | 96c0965138d56e8d3b335edb6d6b7c3f67753031 | [
"MIT"
] | null | null | null | quizzes/migrations/0001_initial.py | aeronlroach/django-quiz | 96c0965138d56e8d3b335edb6d6b7c3f67753031 | [
"MIT"
] | 1 | 2020-04-16T20:41:53.000Z | 2020-04-16T20:41:53.000Z | # Generated by Django 3.0.3 on 2020-03-20 18:34
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Answer',
fields=[
... | 48.330097 | 146 | 0.588188 |
629e3b4581d67032ff8e3ca82a65c4943d158589 | 9,058 | py | Python | pyscarphase/scarphase_dump.py | uart/scarphase | be143e35e39174bc3a133a30fdb72ca1602ce288 | [
"BSD-3-Clause"
] | 6 | 2016-12-03T15:18:44.000Z | 2022-01-13T06:19:01.000Z | pyscarphase/scarphase_dump.py | nujgnayuf/scarphase | be143e35e39174bc3a133a30fdb72ca1602ce288 | [
"BSD-3-Clause"
] | 5 | 2015-07-02T15:12:18.000Z | 2021-12-08T12:50:06.000Z | pyscarphase/scarphase_dump.py | nujgnayuf/scarphase | be143e35e39174bc3a133a30fdb72ca1602ce288 | [
"BSD-3-Clause"
] | 6 | 2015-11-04T04:12:24.000Z | 2022-03-27T16:29:24.000Z | # Copyright (c) 2011-2013 Andreas Sembrant
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# - Redistributions of source code must retain the above copyright
# notice, this list of conditi... | 28.130435 | 83 | 0.5552 |
629e4dc8ac504cd2bf7e557842e4c1ab8f7cbbaa | 30,294 | py | Python | connector/src/yang/connector/netconf.py | nhattrinh/yang | 733009580723909e7ef5eecde304e2873907366b | [
"Apache-2.0"
] | null | null | null | connector/src/yang/connector/netconf.py | nhattrinh/yang | 733009580723909e7ef5eecde304e2873907366b | [
"Apache-2.0"
] | null | null | null | connector/src/yang/connector/netconf.py | nhattrinh/yang | 733009580723909e7ef5eecde304e2873907366b | [
"Apache-2.0"
] | null | null | null | """netconf.py module is a wrapper around the ncclient package."""
import re
import atexit
import logging
import subprocess
import datetime
import lxml.etree as et
from ncclient import manager
from ncclient import operations
from ncclient import transport
from ncclient.operations.retrieve import GetReply
from ncclient.... | 35.556338 | 82 | 0.535948 |
629e65e580719fd8849027e133f52d829b5fea3e | 4,758 | py | Python | tests/registration_test.py | SamTheisens/kawalc1 | c0189c04d130680e51ca4396794c735bd51cf258 | [
"MIT"
] | 14 | 2019-04-07T08:04:15.000Z | 2019-11-03T08:27:51.000Z | tests/registration_test.py | kawalc1/kawalc1 | 6963f7f3f93e7ab897dfcda265c9dd3b12433f18 | [
"MIT"
] | 22 | 2019-03-25T05:27:12.000Z | 2020-08-17T22:13:19.000Z | tests/registration_test.py | kawalc1/kawalc1 | 6963f7f3f93e7ab897dfcda265c9dd3b12433f18 | [
"MIT"
] | 1 | 2019-04-07T16:18:33.000Z | 2019-04-07T16:18:33.000Z | import os
import pathlib
import unittest
from mengenali import registration
import tempfile
import json
import io
from os.path import join, exists, abspath
from tests import setup_django_settings
class RegistrationTest(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.overwrite_resources = F... | 47.108911 | 118 | 0.729718 |
629e6fbf3f64711d398a70776c0fc75bcb683e3a | 2,243 | py | Python | leetcode_python/Hash_table/happy-number.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | 18 | 2019-08-01T07:45:02.000Z | 2022-03-31T18:05:44.000Z | leetcode_python/Hash_table/happy-number.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | null | null | null | leetcode_python/Hash_table/happy-number.py | yennanliu/Python_basics | 6a597442d39468295946cefbfb11d08f61424dc3 | [
"Unlicense"
] | 15 | 2019-12-29T08:46:20.000Z | 2022-03-08T14:14:05.000Z | # Time: O(k), where k is the steps to be happy number
# Space: O(k)
#
# Write an algorithm to determine if a number is "happy".
#
# A happy number is a number defined by the following process:
# Starting with any positive integer, replace the number by the sum
# of the squares of its digits, and repeat the process unt... | 26.081395 | 75 | 0.518948 |
629e7a4fe322efdaea4fc422926aff9b91d42a93 | 2,465 | py | Python | infra/libs/service_utils/_daemon_win32.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | 2 | 2021-04-13T21:22:18.000Z | 2021-09-07T02:11:57.000Z | infra/libs/service_utils/_daemon_win32.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | 21 | 2020-09-06T02:41:05.000Z | 2022-03-02T04:40:01.000Z | infra/libs/service_utils/_daemon_win32.py | allaparthi/monorail | e18645fc1b952a5a6ff5f06e0c740d75f1904473 | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2015 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
"""Locking, timeout, and other process management functions."""
import contextlib
import ctypes
import ctypes.wintypes
import os
import tempfile
GENERIC_WR... | 24.405941 | 81 | 0.750101 |
629e7f2d3fe198832fdc172d0692b517b81d2c3a | 116,246 | py | Python | salt/minion.py | jbq/pkg-salt | b6742e03cbbfb82f4ce7db2e21a3ff31b270cdb3 | [
"Apache-2.0"
] | 1 | 2020-09-16T21:31:02.000Z | 2020-09-16T21:31:02.000Z | salt/minion.py | jbq/pkg-salt | b6742e03cbbfb82f4ce7db2e21a3ff31b270cdb3 | [
"Apache-2.0"
] | null | null | null | salt/minion.py | jbq/pkg-salt | b6742e03cbbfb82f4ce7db2e21a3ff31b270cdb3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Routines to set up a minion
'''
# Import python libs
from __future__ import absolute_import
from __future__ import print_function
import copy
import errno
import fnmatch
import hashlib
import logging
import multiprocessing
import os
import re
import salt
import signal
import sys
import threa... | 39.526012 | 127 | 0.536036 |
629eb9ccddf2c7eab6628725cfe02ed9eb34c873 | 1,420 | py | Python | utils/loss.py | pooruss/ICNet-Paddle2.2.0rc | 0411da034740e46c0d318130c618e333ed9767bc | [
"MIT"
] | null | null | null | utils/loss.py | pooruss/ICNet-Paddle2.2.0rc | 0411da034740e46c0d318130c618e333ed9767bc | [
"MIT"
] | null | null | null | utils/loss.py | pooruss/ICNet-Paddle2.2.0rc | 0411da034740e46c0d318130c618e333ed9767bc | [
"MIT"
] | null | null | null | """Custom losses."""
import paddle.nn as nn
import paddle.nn.functional as F
import numpy as np
import paddle
__all__ = ['ICNetLoss']
# TODO: optim function
class ICNetLoss(nn.CrossEntropyLoss):
"""Cross Entropy Loss for ICNet"""
def __init__(self, aux_weight=0.4, ignore_index=-1):
super(ICNetLoss... | 47.333333 | 141 | 0.676056 |
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