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616d43b1b12de2cd7fc0a9c06e2f10c0d5efcbe5 | 338 | py | Python | pypingcli/commands/base.py | tameeshB/pyPingCLI | 070edab79b24c257a8512b2a1410d12583f96d69 | [
"MIT"
] | 1 | 2020-11-09T16:49:51.000Z | 2020-11-09T16:49:51.000Z | pypingcli/commands/base.py | tameeshB/pyPingCLI | 070edab79b24c257a8512b2a1410d12583f96d69 | [
"MIT"
] | 7 | 2018-10-01T01:13:59.000Z | 2018-10-03T16:44:34.000Z | pypingcli/commands/base.py | tameeshB/pyPingCLI | 070edab79b24c257a8512b2a1410d12583f96d69 | [
"MIT"
] | 6 | 2018-10-01T10:09:16.000Z | 2020-09-16T06:59:16.000Z | # skele/commands/base.py
"""The base command."""
class Base(object):
"""A base command."""
def __init__(self, options, *args, **kwargs):
self.options = options
self.args = args
self.kwargs = kwargs
def run(self):
raise NotImplementedError('You must implement the run() m... | 24.142857 | 82 | 0.615385 |
62467914ab86514a5e2d611e8d4913b183126218 | 6,709 | py | Python | tests/test_ctype_locale.py | SiameseJuly/angr | 24d960d558b77f5a85d76dccb45e5f3827e6227f | [
"BSD-2-Clause"
] | null | null | null | tests/test_ctype_locale.py | SiameseJuly/angr | 24d960d558b77f5a85d76dccb45e5f3827e6227f | [
"BSD-2-Clause"
] | null | null | null | tests/test_ctype_locale.py | SiameseJuly/angr | 24d960d558b77f5a85d76dccb45e5f3827e6227f | [
"BSD-2-Clause"
] | 1 | 2020-03-10T04:25:33.000Z | 2020-03-10T04:25:33.000Z | import nose
import os
import archinfo
import simuvex
import angr
import subprocess
import logging
l = logging.getLogger('simuvex.libc.ctype_locale')
FAKE_ADDR = 0x100000
test_location = os.path.dirname(os.path.abspath(__file__))
def test_ctype_b_loc():
'''
test_ctype_locale.test_ctype_b_loc
const un... | 39.934524 | 185 | 0.67402 |
999cbb441dc32089244e53996e77350cf842c23a | 352 | py | Python | source/plotsettings.py | johnsjob/master-thesis | 97b65d1c64ee3ca7c4caaaf2f8712b8f6a2fccce | [
"MIT"
] | null | null | null | source/plotsettings.py | johnsjob/master-thesis | 97b65d1c64ee3ca7c4caaaf2f8712b8f6a2fccce | [
"MIT"
] | null | null | null | source/plotsettings.py | johnsjob/master-thesis | 97b65d1c64ee3ca7c4caaaf2f8712b8f6a2fccce | [
"MIT"
] | 1 | 2019-11-22T09:57:45.000Z | 2019-11-22T09:57:45.000Z | from collections import namedtuple
FontSettings = namedtuple('FontSettings',
[
'legend_size',
'label_size',
'title_size',
'tick_size',
])
title = 25
label = 20
legend = 20
tick = 16
PlotSettings = FontSettings(
legend_size = legend,
label_size = label,
title_size = title... | 16 | 41 | 0.616477 |
e74a1e373879013feeec1b1ec2fc6eb980261dc8 | 9,457 | py | Python | tests/test_position.py | ssimonee/nept | 0b78d02f32adec2bc064d3f3637fd10ee5c04637 | [
"MIT"
] | null | null | null | tests/test_position.py | ssimonee/nept | 0b78d02f32adec2bc064d3f3637fd10ee5c04637 | [
"MIT"
] | null | null | null | tests/test_position.py | ssimonee/nept | 0b78d02f32adec2bc064d3f3637fd10ee5c04637 | [
"MIT"
] | null | null | null | import numpy as np
import pytest
from shapely.geometry import Point, LineString
import nept
def test_position_xy():
times = np.array([1.0, 2.0, 3.0])
data = np.array([[1.1, 3.1],
[0.9, 2.0],
[2.3, 1.4]])
pos = nept.Position(data, times)
assert np.allclose(po... | 29.738994 | 88 | 0.531775 |
ad1af2e2364ea3f9c5e108adb5cea5c661c1a9a4 | 2,452 | py | Python | heat/tests/test_crypt.py | mail2nsrajesh/heat | 83bd7c261ed29f17b14fbd3746182f3ffe85f26b | [
"Apache-2.0"
] | null | null | null | heat/tests/test_crypt.py | mail2nsrajesh/heat | 83bd7c261ed29f17b14fbd3746182f3ffe85f26b | [
"Apache-2.0"
] | 1 | 2018-07-26T22:07:09.000Z | 2018-07-26T22:07:09.000Z | heat/tests/test_crypt.py | mail2nsrajesh/heat | 83bd7c261ed29f17b14fbd3746182f3ffe85f26b | [
"Apache-2.0"
] | 3 | 2018-07-19T17:43:37.000Z | 2019-11-15T22:13:30.000Z | #
# 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
# ... | 38.920635 | 78 | 0.661501 |
081fc7abbe866928ec00e765e50980d916804a84 | 2,362 | py | Python | bigml/tests/test_29_script.py | ayush1208/python-3 | 8b613225142bbe1dce8fda5c7f8d3acf07c181a7 | [
"Apache-2.0"
] | null | null | null | bigml/tests/test_29_script.py | ayush1208/python-3 | 8b613225142bbe1dce8fda5c7f8d3acf07c181a7 | [
"Apache-2.0"
] | null | null | null | bigml/tests/test_29_script.py | ayush1208/python-3 | 8b613225142bbe1dce8fda5c7f8d3acf07c181a7 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#!/usr/bin/env python
#
# Copyright 2015-2018 BigML
#
# 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 requi... | 38.096774 | 101 | 0.611346 |
57fd4fd0ca43e17b801cba71f300d9aaf1053b4c | 461 | py | Python | inst/commands/simple_server.py | cran/threeBrain | 7bc0d8b68814765e85150029cc87fda560d29f02 | [
"MIT"
] | 23 | 2020-01-13T14:11:16.000Z | 2022-01-30T02:37:23.000Z | inst/commands/simple_server.py | cran/threeBrain | 7bc0d8b68814765e85150029cc87fda560d29f02 | [
"MIT"
] | 10 | 2020-01-06T19:33:33.000Z | 2021-07-19T05:30:12.000Z | inst/commands/simple_server.py | cran/threeBrain | 7bc0d8b68814765e85150029cc87fda560d29f02 | [
"MIT"
] | 5 | 2020-04-15T12:03:06.000Z | 2022-01-25T18:44:29.000Z | import http.server
import socket
import webbrowser
tcp = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
tcp.bind(('', 0))
host, port = tcp.getsockname()
tcp.close()
host = socket.gethostbyname(socket.gethostname())
url = "http://%s:%d" % ( host, port )
print("Starting a simple web server at \n\t%s" % url)
Handle... | 23.05 | 55 | 0.735358 |
7334448d9f91632820557228dd8ab4a6dad3db35 | 3,045 | py | Python | arbcharm/exchange_api/binance.py | RunningToTheEdgeOfTheWorld/arbcharm | 8cf58c9d425e1a4190118d5a2c93a61e64c28a36 | [
"MIT"
] | 26 | 2018-11-07T10:16:38.000Z | 2022-01-12T14:36:55.000Z | arbcharm/exchange_api/binance.py | zx403413599/arbcharm | f6ade6e379e157c2d4647d8d7d78946d2c744fae | [
"MIT"
] | 1 | 2021-04-26T14:52:22.000Z | 2021-04-26T14:52:22.000Z | arbcharm/exchange_api/binance.py | zx403413599/arbcharm | f6ade6e379e157c2d4647d8d7d78946d2c744fae | [
"MIT"
] | 17 | 2018-11-23T11:13:18.000Z | 2022-01-12T14:36:57.000Z | # !/usr/bin/env python
__author__ = 'Rick Zhang'
__time__ = '2018/10/12'
import asyncio
import json
import time
import websockets
from arbcharm.models import BaseExchange, OrderBook, OrderRow
class Binance(BaseExchange):
"""
binance websockets doc:
https://github.com/binance-exchange/binance-official-a... | 30.757576 | 100 | 0.538588 |
4841b5f9d8fe77675b20902282c3201d1f88923a | 680 | py | Python | SortingAlgorithms/selectionSort.py | shubham2704/codes_instagram | c95aab74aabb4af9d4baa5c7b26698d8f77a95eb | [
"MIT"
] | 1 | 2020-06-05T19:06:49.000Z | 2020-06-05T19:06:49.000Z | SortingAlgorithms/selectionSort.py | shubham2704/codes_instagram | c95aab74aabb4af9d4baa5c7b26698d8f77a95eb | [
"MIT"
] | null | null | null | SortingAlgorithms/selectionSort.py | shubham2704/codes_instagram | c95aab74aabb4af9d4baa5c7b26698d8f77a95eb | [
"MIT"
] | null | null | null | """
Description
In selection sort we start by finding the minimum value in a given list and move it to a sorted list.
Then we repeat the process for each of the remaining elements in the unsorted list. The next element entering the sorted
list is compared with the existing elements and placed at its correct position... | 30.909091 | 121 | 0.667647 |
9b70703a09c898a6324833e1ede5ccd80faa7c18 | 6,695 | py | Python | keyboa/button.py | cangirolave/keyboa | defb1450611b02234f8961ae0cc96b8369e22b53 | [
"MIT"
] | 31 | 2020-05-02T14:59:58.000Z | 2022-03-17T14:50:04.000Z | keyboa/button.py | cangirolave/keyboa | defb1450611b02234f8961ae0cc96b8369e22b53 | [
"MIT"
] | 18 | 2020-05-02T15:03:53.000Z | 2021-10-05T12:18:43.000Z | keyboa/button.py | cangirolave/keyboa | defb1450611b02234f8961ae0cc96b8369e22b53 | [
"MIT"
] | 4 | 2021-10-01T00:30:39.000Z | 2021-10-20T11:32:58.000Z | # -*- coding:utf-8 -*-
"""
This module contains all the necessary functions for
creating buttons for telegram inline keyboards.
"""
from dataclasses import dataclass
from typing import Optional
from telebot.types import InlineKeyboardButton
from keyboa.button_check import ButtonCheck
from keyboa.constants import (
... | 32.658537 | 94 | 0.627782 |
65856c7e4a9ad320da51da7a045aa8230721d4fe | 4,890 | py | Python | code/wrapper.py | bdevans/generalisation-humans-DNNs | b38bc59fd4bd34e13c50c8fd19cd418d2f3a36f9 | [
"CC-BY-4.0"
] | 76 | 2018-08-28T21:58:02.000Z | 2022-03-11T18:47:05.000Z | code/wrapper.py | bdevans/generalisation-humans-DNNs | b38bc59fd4bd34e13c50c8fd19cd418d2f3a36f9 | [
"CC-BY-4.0"
] | 3 | 2018-10-10T17:54:24.000Z | 2019-07-26T21:25:07.000Z | code/wrapper.py | bdevans/generalisation-humans-DNNs | b38bc59fd4bd34e13c50c8fd19cd418d2f3a36f9 | [
"CC-BY-4.0"
] | 21 | 2018-08-29T02:26:28.000Z | 2022-01-18T16:22:02.000Z | #!/usr/bin/env python
"""wrapper.py
A small set of functions used to make the eidolon factory code a little easier
to integrate and work with.
The 'eidolon factory' can be obtained from here:
https://github.com/gestaltrevision/Eidolon
Note that the Python version likely contains a bug, for which we opened
a pull req... | 33.265306 | 79 | 0.661963 |
2c208b6c32f5cffbae06aa29f24b8509393d044e | 1,729 | py | Python | tests/deephyper/search/nas/test_regevomixed.py | felixeperez/deephyper | 23c720d19ed9510ca121b41196b5cc8ec4cd0ba9 | [
"BSD-3-Clause"
] | 185 | 2018-11-06T18:49:47.000Z | 2022-03-31T22:10:41.000Z | tests/deephyper/search/nas/test_regevomixed.py | felixeperez/deephyper | 23c720d19ed9510ca121b41196b5cc8ec4cd0ba9 | [
"BSD-3-Clause"
] | 108 | 2018-12-17T17:58:05.000Z | 2022-03-16T10:22:08.000Z | tests/deephyper/search/nas/test_regevomixed.py | felixeperez/deephyper | 23c720d19ed9510ca121b41196b5cc8ec4cd0ba9 | [
"BSD-3-Clause"
] | 50 | 2018-12-11T20:41:41.000Z | 2022-02-25T19:50:47.000Z | import numpy as np
from deephyper.benchmark.nas import linearReg
from deephyper.benchmark.nas import linearRegHybrid
from deephyper.evaluator import Evaluator
from deephyper.nas.run import run_debug_arch
from deephyper.search.nas import RegularizedEvolutionMixed
def test_regovomixed_without_hp():
create_evaluato... | 26.19697 | 74 | 0.70561 |
0a1c4021bb95899d7e49759ce863a3583b056d32 | 894 | py | Python | tests/domain/test_supply.py | xlam/autovirt | a19f9237c8b1123ce4f4b8b396dc88122019d4f8 | [
"MIT"
] | null | null | null | tests/domain/test_supply.py | xlam/autovirt | a19f9237c8b1123ce4f4b8b396dc88122019d4f8 | [
"MIT"
] | null | null | null | tests/domain/test_supply.py | xlam/autovirt | a19f9237c8b1123ce4f4b8b396dc88122019d4f8 | [
"MIT"
] | null | null | null | import pytest
from autovirt.domain.supplies import Supplies, Supply, SupplyContract
@pytest.fixture
def supplies_list():
return [
Supply(id=0, product_id=0, contracts=[]),
Supply(id=1, product_id=1, contracts=[]),
Supply(
id=2,
product_id=2,
contracts=[... | 24.833333 | 86 | 0.712528 |
2b6eb0ad14644386423e2ba5dbb4941bcf2b9f6e | 129 | py | Python | Aula 09/div.py | mateuschaves/curso-python | 53b2f3b4bf083ae2ce7ea19dd358f49a36becd9d | [
"MIT"
] | 1 | 2018-07-23T04:03:35.000Z | 2018-07-23T04:03:35.000Z | Aula 09/div.py | mateuschaves/curso-python | 53b2f3b4bf083ae2ce7ea19dd358f49a36becd9d | [
"MIT"
] | null | null | null | Aula 09/div.py | mateuschaves/curso-python | 53b2f3b4bf083ae2ce7ea19dd358f49a36becd9d | [
"MIT"
] | null | null | null | frase = "Today is gonna be the day That they're gonna throw it back to you"
print(frase.split())
print(' '.join(frase.split()))
| 25.8 | 75 | 0.697674 |
69a47ef1ebec70239ccc8fff39567322da034c0a | 686 | py | Python | cayennelpp/tests/test_lpp_type_gyrometer.py | smlng/pycayennelpp | 28f2ba4fba602527d3369c9cfbce16b783916933 | [
"MIT"
] | 16 | 2019-02-18T10:57:51.000Z | 2022-03-29T01:54:51.000Z | cayennelpp/tests/test_lpp_type_gyrometer.py | smlng/pycayennelpp | 28f2ba4fba602527d3369c9cfbce16b783916933 | [
"MIT"
] | 40 | 2018-11-04T17:28:49.000Z | 2021-11-26T16:05:16.000Z | cayennelpp/tests/test_lpp_type_gyrometer.py | smlng/pycayennelpp | 28f2ba4fba602527d3369c9cfbce16b783916933 | [
"MIT"
] | 12 | 2018-11-09T19:06:36.000Z | 2021-05-21T17:44:28.000Z | import pytest
from cayennelpp.lpp_type import LppType
@pytest.fixture
def gyro():
return LppType.get_lpp_type(134)
def test_gyrometer(gyro):
val = (123.45, -123.45, 0.0)
gyro_buf = gyro.encode(val)
assert gyro.decode(gyro_buf) == val
val = (-123.45, 0.0, -123.45)
gyro_buf = gyro.encode(val)... | 20.787879 | 42 | 0.685131 |
1af1c2e9ca9314df1d833d70a2cc38c4dde6f6c1 | 4,872 | py | Python | tutorials/epochs/plot_visualize_epochs.py | abramhindle/mne-python | 989390a484cba219aae74c778b71568586f9edb2 | [
"BSD-3-Clause"
] | null | null | null | tutorials/epochs/plot_visualize_epochs.py | abramhindle/mne-python | 989390a484cba219aae74c778b71568586f9edb2 | [
"BSD-3-Clause"
] | 1 | 2019-09-17T23:54:38.000Z | 2019-09-17T23:54:38.000Z | tutorials/epochs/plot_visualize_epochs.py | abramhindle/mne-python | 989390a484cba219aae74c778b71568586f9edb2 | [
"BSD-3-Clause"
] | null | null | null | """
.. _tut_viz_epochs:
Visualize Epochs data
=====================
"""
# sphinx_gallery_thumbnail_number = 7
import os.path as op
import mne
data_path = op.join(mne.datasets.sample.data_path(), 'MEG', 'sample')
raw = mne.io.read_raw_fif(
op.join(data_path, 'sample_audvis_filt-0-40_raw.fif'), preload=True)
eve... | 51.284211 | 79 | 0.688013 |
52b7229af9b1bf8720c881b8a21e794bbe22edee | 1,240 | py | Python | implementations/IRLS_Classification.py | HenrySilvaCS/From-Scratch-ML-Algorithms | 3c84d581027fdf4f53ce29879d9e1794591fee77 | [
"MIT"
] | null | null | null | implementations/IRLS_Classification.py | HenrySilvaCS/From-Scratch-ML-Algorithms | 3c84d581027fdf4f53ce29879d9e1794591fee77 | [
"MIT"
] | null | null | null | implementations/IRLS_Classification.py | HenrySilvaCS/From-Scratch-ML-Algorithms | 3c84d581027fdf4f53ce29879d9e1794591fee77 | [
"MIT"
] | null | null | null |
import numpy as np
def probability_k1(row,parameters):
result = np.exp(row @ parameters)/(1 + np.exp(row @ parameters))
return result
def probability_vector(dataset,parameters):
p = np.zeros((np.size(dataset,0),1))
for i in range(np.size(dataset,0) - 1):
p[i] = probability_k1(dataset[i,:],parameters)
... | 31.794872 | 99 | 0.654032 |
6cd8315ed8fdd608e5728a75e69280004978bf69 | 240 | py | Python | abcnn/args.py | marthasue/text_matching_1 | f05d2d21404f2e0588dd2d5cfafaf94fb6c5ec94 | [
"Apache-2.0"
] | null | null | null | abcnn/args.py | marthasue/text_matching_1 | f05d2d21404f2e0588dd2d5cfafaf94fb6c5ec94 | [
"Apache-2.0"
] | null | null | null | abcnn/args.py | marthasue/text_matching_1 | f05d2d21404f2e0588dd2d5cfafaf94fb6c5ec94 | [
"Apache-2.0"
] | null | null | null | seq_length = 100
char_embedding_size = 200
learning_rate = 0.001
keep_prob = 0.7
vocab_size = 7901
class_size = 2
epochs = 50
batch_size = 200
filter_width = 3
filter_height = char_embedding_size
cnn1_filters = 50
cnn2_filters = 50
| 11.428571 | 35 | 0.758333 |
3dca25f6abaed89c03ffde70b38dc28962e86610 | 6,247 | py | Python | python/pyspark/pandas/tests/test_frame_spark.py | 913624784/spark | 81c3cc2312aaa730fa025159f56703170172c454 | [
"BSD-2-Clause",
"Apache-2.0",
"CC0-1.0",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 2 | 2021-06-03T09:59:31.000Z | 2021-06-12T14:40:30.000Z | python/pyspark/pandas/tests/test_frame_spark.py | gaoyajun02/spark | 2e1e1f83e49f69e37229c65592c1a2e87b1efe56 | [
"BSD-2-Clause",
"Apache-2.0",
"CC0-1.0",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 26 | 2016-10-27T06:07:00.000Z | 2018-01-26T00:21:32.000Z | python/pyspark/pandas/tests/test_frame_spark.py | gaoyajun02/spark | 2e1e1f83e49f69e37229c65592c1a2e87b1efe56 | [
"BSD-2-Clause",
"Apache-2.0",
"CC0-1.0",
"MIT",
"MIT-0",
"ECL-2.0",
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 2 | 2016-08-09T07:22:08.000Z | 2017-02-14T16:19:57.000Z | #
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not us... | 39.537975 | 99 | 0.620618 |
4e80f0a0235524e291a0312bd0a8bcdfdbb51166 | 3,896 | py | Python | bg_backend/bitglitter/write/write.py | MarkMichon1/BitGlitter-Backend | af399d82b19a7828b15ea1789bc980987f1049fe | [
"MIT"
] | 2 | 2021-07-20T06:31:41.000Z | 2021-07-21T11:29:33.000Z | bg_backend/bitglitter/write/write.py | MarkMichon1/BitGlitter-Backend | af399d82b19a7828b15ea1789bc980987f1049fe | [
"MIT"
] | null | null | null | bg_backend/bitglitter/write/write.py | MarkMichon1/BitGlitter-Backend | af399d82b19a7828b15ea1789bc980987f1049fe | [
"MIT"
] | null | null | null | from pathlib import Path
from bg_backend.bitglitter.config.config import session
from bg_backend.bitglitter.config.configmodels import Config, Constants
from bg_backend.bitglitter.utilities.filemanipulation import refresh_directory, remove_working_folder
from bg_backend.bitglitter.utilities.gui.messages import write_d... | 41.010526 | 120 | 0.698152 |
2bd4db87b0442353348fbe9740380b53a304687b | 4,784 | py | Python | scanpipe/forms.py | hyounes4560/scancode.io | 62911d1fe692327a23af85fa9668344deb5b9ebd | [
"Apache-2.0"
] | 1 | 2021-06-09T18:16:11.000Z | 2021-06-09T18:16:11.000Z | scanpipe/forms.py | hyounes4560/scancode.io | 62911d1fe692327a23af85fa9668344deb5b9ebd | [
"Apache-2.0"
] | null | null | null | scanpipe/forms.py | hyounes4560/scancode.io | 62911d1fe692327a23af85fa9668344deb5b9ebd | [
"Apache-2.0"
] | null | null | null | # SPDX-License-Identifier: Apache-2.0
#
# http://nexb.com and https://github.com/nexB/scancode.io
# The ScanCode.io software is licensed under the Apache License version 2.0.
# Data generated with ScanCode.io is provided as-is without warranties.
# ScanCode is a trademark of nexB Inc.
#
# You may not use this software ... | 32.544218 | 85 | 0.645276 |
e63c62dd54f588a6dcc2708e0790c9dd86de5322 | 6,696 | py | Python | resin/exceptions.py | frank-u/resin-sdk | bc6de33207a03565113f0b7cdb18e2d1d827736b | [
"MIT"
] | null | null | null | resin/exceptions.py | frank-u/resin-sdk | bc6de33207a03565113f0b7cdb18e2d1d827736b | [
"MIT"
] | null | null | null | resin/exceptions.py | frank-u/resin-sdk | bc6de33207a03565113f0b7cdb18e2d1d827736b | [
"MIT"
] | null | null | null | # coding: utf-8
from .resources import Message
class MissingOption(Exception):
"""
Exception type for missing option in settings or auth token.
Args:
option (str): option name.
Attributes:
code (str): exception code.
exit_code (int): program exit code.
message (str): ... | 22.698305 | 87 | 0.618578 |
10ecb125571cad37d1888d88fa1afa97c76b99f6 | 2,095 | py | Python | base2designs/utils/model_util_test.py | sethusaim/Automatic-Number-Plate-Recognition | 8b26008f8511e52600b150157901079e0fd0ebfe | [
"MIT"
] | null | null | null | base2designs/utils/model_util_test.py | sethusaim/Automatic-Number-Plate-Recognition | 8b26008f8511e52600b150157901079e0fd0ebfe | [
"MIT"
] | null | null | null | base2designs/utils/model_util_test.py | sethusaim/Automatic-Number-Plate-Recognition | 8b26008f8511e52600b150157901079e0fd0ebfe | [
"MIT"
] | null | null | null | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 37.410714 | 80 | 0.670167 |
3e6ed66650e328a9ba197c2f29b6cb0e9eb87bc4 | 1,117 | py | Python | src/extras/constants.py | lk-vila/Sebotiao | 259995aa88e824ab7ddf71d5a4a6d2f4dfd46f6e | [
"MIT"
] | 1 | 2022-02-16T02:44:07.000Z | 2022-02-16T02:44:07.000Z | src/extras/constants.py | lk-vila/Sebotiao | 259995aa88e824ab7ddf71d5a4a6d2f4dfd46f6e | [
"MIT"
] | null | null | null | src/extras/constants.py | lk-vila/Sebotiao | 259995aa88e824ab7ddf71d5a4a6d2f4dfd46f6e | [
"MIT"
] | 5 | 2021-01-10T03:36:06.000Z | 2021-01-15T00:27:50.000Z | class Colours:
blue = 0x0279fd
bright_green = 0x01d277
dark_green = 0x1f8b4c
orange = 0xe67e22
pink = 0xcf84e0
purple = 0xb734eb
soft_green = 0x68c290
soft_orange = 0xf9cb54
soft_red = 0xcd6d6d
yellow = 0xf9f586
COMMAND_PREFIXES = ['tiao ', 'Tiao ', 'tião ', 'Tião ']
RESPOSTA_... | 23.270833 | 119 | 0.635631 |
ade65d656fb514debf0ee2fa6523b8bea8a3402e | 155 | py | Python | flash.py | resin-io-playground/explorer-hat-example | 21c6f629006ebb14bff5b1add3e324482ed5ceaf | [
"Apache-2.0"
] | 1 | 2018-05-17T18:44:58.000Z | 2018-05-17T18:44:58.000Z | flash.py | resin-io-playground/explorer-hat-python | 21c6f629006ebb14bff5b1add3e324482ed5ceaf | [
"Apache-2.0"
] | null | null | null | flash.py | resin-io-playground/explorer-hat-python | 21c6f629006ebb14bff5b1add3e324482ed5ceaf | [
"Apache-2.0"
] | null | null | null | import time
import explorerhat
# Flash the lights!
while True:
explorerhat.light.on()
time.sleep(1)
explorerhat.light.off()
time.sleep(1)
| 15.5 | 27 | 0.690323 |
bdb9cd88b04986cb91f097c2d2ca49167a389b66 | 16,994 | py | Python | interactive_lightcurve_GP_widget.py | kjaehnig/GAT_SEBs | 280e18727f3c1a4a5b18085c98f028da158b22a5 | [
"MIT"
] | null | null | null | interactive_lightcurve_GP_widget.py | kjaehnig/GAT_SEBs | 280e18727f3c1a4a5b18085c98f028da158b22a5 | [
"MIT"
] | null | null | null | interactive_lightcurve_GP_widget.py | kjaehnig/GAT_SEBs | 280e18727f3c1a4a5b18085c98f028da158b22a5 | [
"MIT"
] | 1 | 2021-11-25T04:40:35.000Z | 2021-11-25T04:40:35.000Z | import lightkurve as lk
import astropy.table as astab
import pandas as pd
import numpy as np
import astropy
import pickle as pk
from astropy.coordinates import SkyCoord
from astropy import units as u
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
from matplotlib.widgets import Slider, Button, ... | 30.400716 | 149 | 0.565376 |
b0181e143e4858111726f8a18de05307e7aa978b | 334 | py | Python | maupassant/__init__.py | Jwuthri/TextToolKit | 5feb87f9818932cf2f67b404a9a088b785ec5287 | [
"MIT"
] | 2 | 2021-01-14T13:56:36.000Z | 2021-01-14T18:41:43.000Z | maupassant/__init__.py | Jwuthri/TextToolKit | 5feb87f9818932cf2f67b404a9a088b785ec5287 | [
"MIT"
] | 4 | 2020-03-25T18:07:29.000Z | 2022-02-09T23:40:14.000Z | maupassant/__init__.py | Jwuthri/TextToolKit | 5feb87f9818932cf2f67b404a9a088b785ec5287 | [
"MIT"
] | null | null | null | # __ ___ __
# / |/ /___ ___ ______ ____ _______________ _____ / /_
# / /|_/ / __ `/ / / / __ \/ __ `/ ___/ ___/ __ `/ __ \/ __/
# / / / / /_/ / /_/ / /_/ / /_/ (__ |__ ) /_/ / / / / /_
# /_/ /_/\__,_/\__,_/ .___/\__,_/____/____/\__,_/_/ /_/\__/
# ... | 47.714286 | 62 | 0.308383 |
b5f8c76cab32cda5df773e146a077e787c539a53 | 6,150 | py | Python | unit_02/problem_set_02/problem_1_rectangular_room_class.py | alexmalme/mit_6002 | 744a469fc024bb495497225a0d24251afa544fe5 | [
"MIT"
] | null | null | null | unit_02/problem_set_02/problem_1_rectangular_room_class.py | alexmalme/mit_6002 | 744a469fc024bb495497225a0d24251afa544fe5 | [
"MIT"
] | null | null | null | unit_02/problem_set_02/problem_1_rectangular_room_class.py | alexmalme/mit_6002 | 744a469fc024bb495497225a0d24251afa544fe5 | [
"MIT"
] | null | null | null | '''
Problem 1: RectangularRoom Class
10.0/10.0 points (graded)
You will need to design two classes to keep track of which parts of the room have been cleaned as well as the position and direction of each robot.
In ps2.py, we've provided skeletons for the following two classes, which you will fill in in Problem 1:
... | 31.218274 | 222 | 0.634959 |
7899a1b67ff85298cb48c2acffe2e29c449b2c45 | 957 | py | Python | setup.py | ndangol4873/oneNeuron_pypi | d8f3145de281452a10d5a6f8e2713929253f76ee | [
"MIT"
] | null | null | null | setup.py | ndangol4873/oneNeuron_pypi | d8f3145de281452a10d5a6f8e2713929253f76ee | [
"MIT"
] | null | null | null | setup.py | ndangol4873/oneNeuron_pypi | d8f3145de281452a10d5a6f8e2713929253f76ee | [
"MIT"
] | null | null | null | import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
PROJECT_NAME = "oneNeuron_pypi"
USERNAME = "ndangol4873"
setuptools.setup(
name=f"{PROJECT_NAME}-{USERNAME}",
version="0.0.3",
author=USERNAME,
author_email="nareshkadambi@gmail.com",
descripti... | 28.147059 | 77 | 0.643678 |
ff7e2cede055695d2505d5b03ff4f906ac5b81d0 | 3,121 | py | Python | sushy/tests/unit/resources/registry/test_attribute_registry.py | calsoft-internal/sushy | ffa84846fdb8691042f2156e64649a98feb1f4a2 | [
"Apache-2.0"
] | 37 | 2017-03-24T10:17:37.000Z | 2022-02-10T19:42:26.000Z | sushy/tests/unit/resources/registry/test_attribute_registry.py | calsoft-internal/sushy | ffa84846fdb8691042f2156e64649a98feb1f4a2 | [
"Apache-2.0"
] | null | null | null | sushy/tests/unit/resources/registry/test_attribute_registry.py | calsoft-internal/sushy | ffa84846fdb8691042f2156e64649a98feb1f4a2 | [
"Apache-2.0"
] | 29 | 2017-07-19T21:28:06.000Z | 2021-06-09T05:20:32.000Z | # 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 agreed to in... | 44.585714 | 78 | 0.668055 |
fdda3b93bbafa87f452a5d8e6277eb9dad398b8f | 631 | py | Python | turtlebot3_dqn/src/turtlebot3_dqn/goal_generator.py | mroche92/turtlebot3_machine_learning | 0aff47f2372bd3c62772a54e4283dad96402fb46 | [
"Apache-2.0"
] | null | null | null | turtlebot3_dqn/src/turtlebot3_dqn/goal_generator.py | mroche92/turtlebot3_machine_learning | 0aff47f2372bd3c62772a54e4283dad96402fb46 | [
"Apache-2.0"
] | null | null | null | turtlebot3_dqn/src/turtlebot3_dqn/goal_generator.py | mroche92/turtlebot3_machine_learning | 0aff47f2372bd3c62772a54e4283dad96402fb46 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
map_size = 10
goal_num = 10
goals_x = []
goals_y = []
goals_x_p = []
goals_y_p = []
goals_x.append(0)
goals_y.append(0)
goals_x.append(0.6)
goals_y.append(0)
for i in range(goal_num-2):
goals_x.append((np.random.rand(1)[0]*(map_size-0.5))-((map_size+1)/2))
go... | 24.269231 | 74 | 0.675119 |
349dca2b11d9088139bce6b41e82c9b3c1588b73 | 4,916 | py | Python | test/validate/frc_eia923_test.py | fchorney/pudl | a2c1b996ea81015e586e392bb95609da76161cec | [
"MIT"
] | null | null | null | test/validate/frc_eia923_test.py | fchorney/pudl | a2c1b996ea81015e586e392bb95609da76161cec | [
"MIT"
] | 18 | 2021-03-31T06:48:46.000Z | 2022-03-30T13:08:06.000Z | test/validate/frc_eia923_test.py | fchorney/pudl | a2c1b996ea81015e586e392bb95609da76161cec | [
"MIT"
] | null | null | null | """Validate post-ETL Fuel Receipts and Costs data from EIA 923."""
import logging
import pytest
import pudl
from pudl import validate as pv
logger = logging.getLogger(__name__)
@pytest.mark.parametrize(
"cases", [
pytest.param(pv.frc_eia923_coal_mercury_content, id="coal_mercury"),
pytest.param... | 46.377358 | 79 | 0.664768 |
649796fc6892373cd358b9ae0ff0471d9dffe9cf | 1,474 | py | Python | own/recursive_lomuto_quick_select_k_set_coderpad.py | MrCsabaToth/IK | 713f91c28af7b4a964ba854ede9fec73bf0c4682 | [
"Apache-2.0"
] | null | null | null | own/recursive_lomuto_quick_select_k_set_coderpad.py | MrCsabaToth/IK | 713f91c28af7b4a964ba854ede9fec73bf0c4682 | [
"Apache-2.0"
] | null | null | null | own/recursive_lomuto_quick_select_k_set_coderpad.py | MrCsabaToth/IK | 713f91c28af7b4a964ba854ede9fec73bf0c4682 | [
"Apache-2.0"
] | null | null | null | import random
def quick_select_helper(a, beg, end, k):
if beg >= end:
return
if end == beg + 1:
if a[beg] > a[end]:
a[beg], a[end] = a[end], a[beg]
return
pivot_index = random.randint(beg, end)
pivot = a[pivot_index]
# 1 swap pivot with beginning
if pivot_i... | 23.03125 | 90 | 0.57327 |
f43b41b6f3a8191a206274088cde37832a76ec3c | 185 | py | Python | src/radauth/admin.py | andrewyager/radius_restserver | 8e355afad202b5fcf105a7a69eec8531fcf369e6 | [
"MIT"
] | 1 | 2022-03-26T01:52:35.000Z | 2022-03-26T01:52:35.000Z | src/radauth/admin.py | andrewyager/radius_restserver | 8e355afad202b5fcf105a7a69eec8531fcf369e6 | [
"MIT"
] | null | null | null | src/radauth/admin.py | andrewyager/radius_restserver | 8e355afad202b5fcf105a7a69eec8531fcf369e6 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import RadiusUser
from django.contrib.auth.admin import UserAdmin
# Register your models here.
admin.site.register(RadiusUser, UserAdmin) | 26.428571 | 47 | 0.827027 |
21290816486ba586c8500932863a9ecbab9736e4 | 356 | py | Python | examples/properties_for_rent.py | codingApprentice/daftlistings | 240c59d836955b03f5aa2be68c616ee62befb8a7 | [
"MIT"
] | 126 | 2016-09-28T20:57:39.000Z | 2022-03-29T21:00:03.000Z | examples/properties_for_rent.py | codingApprentice/daftlistings | 240c59d836955b03f5aa2be68c616ee62befb8a7 | [
"MIT"
] | 88 | 2016-10-19T14:05:59.000Z | 2021-12-01T21:14:13.000Z | examples/properties_for_rent.py | codingApprentice/daftlistings | 240c59d836955b03f5aa2be68c616ee62befb8a7 | [
"MIT"
] | 53 | 2016-10-18T21:56:08.000Z | 2022-03-15T00:26:33.000Z | from daftlistings import Daft, Location, SearchType, PropertyType
daft = Daft()
daft.set_location(Location.DUBLIN)
daft.set_search_type(SearchType.RESIDENTIAL_RENT)
daft.set_property_type(PropertyType.APARTMENT)
listings = daft.search()
for listing in listings:
print(listing.title)
print(listing.price)
p... | 23.733333 | 65 | 0.783708 |
d87831a97c4d6c3bd25af0536a4b29ebc74211f8 | 3,848 | py | Python | src/app/tinyc/frontend/antlr/tinycLexer.py | lfvilella/dunder-interpreter | 954cebe5ae9ecb4dbf4956e54307b995e65c3e8e | [
"MIT"
] | null | null | null | src/app/tinyc/frontend/antlr/tinycLexer.py | lfvilella/dunder-interpreter | 954cebe5ae9ecb4dbf4956e54307b995e65c3e8e | [
"MIT"
] | 1 | 2022-03-22T02:38:09.000Z | 2022-03-22T02:38:09.000Z | src/app/tinyc/frontend/antlr/tinycLexer.py | lfvilella/dunder-interpreter | 954cebe5ae9ecb4dbf4956e54307b995e65c3e8e | [
"MIT"
] | null | null | null | # Generated from /Users/felipe/projects/della-compiler/src/tinyc/frontend/tinyc.g4 by ANTLR 4.8
from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\2\23")
bu... | 40.93617 | 103 | 0.514813 |
49726f9c477f3883fbdb9d8a514adaf65964bb7f | 1,441 | py | Python | incVat_decVat/VAT.py | Trisanu-007/VAT-iVAT-Algorithms-Python | f42912ad419713fe84ad5dc47d90b1d7c6409a53 | [
"MIT"
] | 2 | 2021-06-07T09:07:39.000Z | 2021-07-10T05:34:11.000Z | incVat_decVat/VAT.py | Trisanu-007/VAT-iVAT-Algorithms-Python | f42912ad419713fe84ad5dc47d90b1d7c6409a53 | [
"MIT"
] | null | null | null | incVat_decVat/VAT.py | Trisanu-007/VAT-iVAT-Algorithms-Python | f42912ad419713fe84ad5dc47d90b1d7c6409a53 | [
"MIT"
] | null | null | null | import numpy as np
def VAT(mat):
rows, cols = mat.shape
K = np.linspace(0, rows-1, rows, dtype=int)
J = K
max_val_eachcol, max_val_index_eachcol = np.amax(
mat, axis=0), np.argmax(mat, axis=0)
max_val_new, max_val_ind = np.amax(
max_val_eachcol), np.argmax(max_val_eachcol)
# n... | 23.622951 | 66 | 0.508675 |
3cec2540fb97623c2068afdd1ab89606a4b977d5 | 4,197 | py | Python | project/settings.py | dennismwaniki67/awards | 80ed10541f5f751aee5f8285ab1ad54cfecba95f | [
"MIT"
] | null | null | null | project/settings.py | dennismwaniki67/awards | 80ed10541f5f751aee5f8285ab1ad54cfecba95f | [
"MIT"
] | 6 | 2021-03-30T13:35:18.000Z | 2021-09-22T19:10:33.000Z | project/settings.py | dennismwaniki67/awards | 80ed10541f5f751aee5f8285ab1ad54cfecba95f | [
"MIT"
] | null | null | null | """
Django settings for awards project.
Generated by 'django-admin startproject' using Django 1.11.29.
For more information on this file, see
https://docs.djangoproject.com/en/1.11/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.11/ref/settings/
"""
import os... | 25.591463 | 91 | 0.710269 |
4fbdb1bfb6e745cd80fd57ccd98d6e3b64b159c7 | 2,172 | py | Python | src/m3/actions/metrics.py | xyzza/m3-core | 48a124c54ed4b9954f5ba7635c5b8f2b9fb688f5 | [
"MIT"
] | null | null | null | src/m3/actions/metrics.py | xyzza/m3-core | 48a124c54ed4b9954f5ba7635c5b8f2b9fb688f5 | [
"MIT"
] | 1 | 2021-03-16T15:14:09.000Z | 2021-09-23T12:45:55.000Z | src/m3/actions/metrics.py | xyzza/m3-core | 48a124c54ed4b9954f5ba7635c5b8f2b9fb688f5 | [
"MIT"
] | 4 | 2015-06-19T08:21:17.000Z | 2021-09-26T19:48:33.000Z | # -*- coding: utf-8 -*-
import time
import hashlib
DEFAULT_STATSD_HOST = 'localhost'
DEFAULT_STATSD_PORT = 8125
def create_statsd_client(settings):
if getattr(settings, 'ENABLE_METRICS_COLLECTION', False):
return StatsdClient(settings)
else:
return FakeStatsdClient()
class TimingManager(o... | 28.207792 | 77 | 0.645948 |
2270363a4a37ce3a45168d4f9b84c94a23008377 | 2,078 | py | Python | results/rabi_and_lmg_optimizations_20190228/script_lmg_crab10freq_neldermead.py | lucainnocenti/ultrafast-critical-ground-state-preparation-2007.07381 | 29f80dcf914096555cee9bc2e18249a2c95d6a50 | [
"MIT"
] | 1 | 2020-07-21T02:31:41.000Z | 2020-07-21T02:31:41.000Z | results/rabi_and_lmg_optimizations_20190228/script_lmg_crab10freq_neldermead.py | lucainnocenti/ultrafast-critical-ground-state-preparation-2007.07381 | 29f80dcf914096555cee9bc2e18249a2c95d6a50 | [
"MIT"
] | null | null | null | results/rabi_and_lmg_optimizations_20190228/script_lmg_crab10freq_neldermead.py | lucainnocenti/ultrafast-critical-ground-state-preparation-2007.07381 | 29f80dcf914096555cee9bc2e18249a2c95d6a50 | [
"MIT"
] | null | null | null | import os
import sys
import numpy as np
import pandas as pd
import logging
if '../../' not in sys.path:
sys.path.append('../../')
import src.optimization as optimization
model = 'lmg'
model_parameters = dict(num_spins=50)
protocol = 'crab'
num_frequencies = 10
optimization_method = 'Nelder-Mead'
# ------ build... | 29.267606 | 70 | 0.712223 |
ebde9d84918377e1d80a70e9246fa33139e26bd1 | 1,820 | py | Python | tronapi/common/normalizers.py | Moliholy/tron-api-python | 47f2dccec24ea3e425bce34b955823051c9e346c | [
"MIT"
] | 111 | 2018-10-15T19:49:31.000Z | 2022-03-26T02:48:37.000Z | tronapi/common/normalizers.py | Moliholy/tron-api-python | 47f2dccec24ea3e425bce34b955823051c9e346c | [
"MIT"
] | 83 | 2018-10-24T18:49:56.000Z | 2022-03-02T21:36:21.000Z | tronapi/common/normalizers.py | Moliholy/tron-api-python | 47f2dccec24ea3e425bce34b955823051c9e346c | [
"MIT"
] | 78 | 2018-10-16T06:29:10.000Z | 2022-03-18T04:39:53.000Z | import functools
import json
from eth_utils import (
is_binary_address,
to_hex,
hexstr_if_str
)
from hexbytes import HexBytes
from toolz import curry
from tronapi.common.abi import process_type
from tronapi.common.account import Address
from tronapi.common.encoding import (
to_bytes,
text_if_str,
... | 20.449438 | 54 | 0.706593 |
5d5607738d908ea197076a44c6404cfd7131b1ed | 1,039 | py | Python | src/services/deeplinks/src/main.py | fossabot/affo-ce | b78f9617270c94288de4c608b23953c27abb70eb | [
"BSD-3-Clause"
] | null | null | null | src/services/deeplinks/src/main.py | fossabot/affo-ce | b78f9617270c94288de4c608b23953c27abb70eb | [
"BSD-3-Clause"
] | null | null | null | src/services/deeplinks/src/main.py | fossabot/affo-ce | b78f9617270c94288de4c608b23953c27abb70eb | [
"BSD-3-Clause"
] | null | null | null | import base64
import aiohttp
from aiohttp import web
import aiohttp_jinja2
from aiohttp_session import setup
from aiohttp_session.cookie_storage import EncryptedCookieStorage
from cryptography import fernet
from itsdangerous import URLSafeSerializer
import jinja2
from . import settings
from .middlewares import s... | 22.106383 | 71 | 0.774783 |
7fe934594c68509d619e1fb58a2124ffff030d01 | 6,472 | py | Python | core/sawtooth_poet/poet_consensus/signup_info.py | peterschwarz/sawtooth-poet | 6bce9a7c11bd1bdb54e24224b69b75e29b08f1a1 | [
"Apache-2.0"
] | 14 | 2018-07-27T06:06:31.000Z | 2021-12-03T00:30:39.000Z | core/sawtooth_poet/poet_consensus/signup_info.py | peterschwarz/sawtooth-poet | 6bce9a7c11bd1bdb54e24224b69b75e29b08f1a1 | [
"Apache-2.0"
] | 20 | 2018-07-24T00:58:10.000Z | 2021-12-05T22:42:14.000Z | core/sawtooth_poet/poet_consensus/signup_info.py | peterschwarz/sawtooth-poet | 6bce9a7c11bd1bdb54e24224b69b75e29b08f1a1 | [
"Apache-2.0"
] | 38 | 2018-07-20T19:54:48.000Z | 2022-03-20T07:27:46.000Z | # Copyright 2016, 2017 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 ... | 37.847953 | 80 | 0.638288 |
db478f938223f80947bd1250842cef6b69f1d3f4 | 387 | py | Python | blog_backend/__init__.py | enkidulan/blog_backend | c11c580d6eaae30cee9d1e01a5f17672a8b6d512 | [
"Apache-2.0"
] | null | null | null | blog_backend/__init__.py | enkidulan/blog_backend | c11c580d6eaae30cee9d1e01a5f17672a8b6d512 | [
"Apache-2.0"
] | null | null | null | blog_backend/__init__.py | enkidulan/blog_backend | c11c580d6eaae30cee9d1e01a5f17672a8b6d512 | [
"Apache-2.0"
] | null | null | null | from pyramid.config import Configurator
from substanced.db import root_factory
def main(global_config, **settings):
""" This function returns a Pyramid WSGI application.
"""
config = Configurator(settings=settings, root_factory=root_factory)
config.include('substanced')
config.include('blog_backe... | 27.642857 | 71 | 0.74677 |
4d138a20004f487000a4764da9c0bbc74adee976 | 719 | py | Python | modules/utils/functions.py | Alijkaz/MCServerStatsBot | cfdf2c53689572f5c7d00d82d45222e37814fd7e | [
"MIT"
] | 4 | 2021-09-15T23:56:46.000Z | 2021-12-29T17:14:38.000Z | modules/utils/functions.py | Alijkaz/MCServerStatsBot | cfdf2c53689572f5c7d00d82d45222e37814fd7e | [
"MIT"
] | null | null | null | modules/utils/functions.py | Alijkaz/MCServerStatsBot | cfdf2c53689572f5c7d00d82d45222e37814fd7e | [
"MIT"
] | 2 | 2021-09-16T12:42:54.000Z | 2021-12-25T11:23:15.000Z | from time import time
import random, string
from datetime import datetime as dt
def replace_placeholders(string, placeholders):
placeholders['%timestamp%'] = str(time())
for placeholder in placeholders:
string = string.replace('%' + placeholder + '%', str(placeholders[placeholder]))
return st... | 28.76 | 93 | 0.671766 |
678b52c87568ad1a3a6f997fdb1f59e7d80506aa | 36,494 | py | Python | python/paddle/fluid/tests/unittests/test_optimizer.py | javakian/Paddle | 10018f1561cb8f75f8df982dcf2217e50cee2647 | [
"Apache-2.0"
] | null | null | null | python/paddle/fluid/tests/unittests/test_optimizer.py | javakian/Paddle | 10018f1561cb8f75f8df982dcf2217e50cee2647 | [
"Apache-2.0"
] | null | null | null | python/paddle/fluid/tests/unittests/test_optimizer.py | javakian/Paddle | 10018f1561cb8f75f8df982dcf2217e50cee2647 | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 42.984688 | 80 | 0.608155 |
a672b77e99684099b8fd80a7e4839634456d9516 | 1,239 | py | Python | src/examples/func_calls.py | abhi608/C-to-MIPS-compiler | ccfb0f35ea9ddbcbc68b0dda0dbc71703c44194e | [
"BSD-3-Clause"
] | null | null | null | src/examples/func_calls.py | abhi608/C-to-MIPS-compiler | ccfb0f35ea9ddbcbc68b0dda0dbc71703c44194e | [
"BSD-3-Clause"
] | null | null | null | src/examples/func_calls.py | abhi608/C-to-MIPS-compiler | ccfb0f35ea9ddbcbc68b0dda0dbc71703c44194e | [
"BSD-3-Clause"
] | null | null | null | #-----------------------------------------------------------------
# pycparser: func_defs.py
#
# Using pycparser for printing out all the calls of some function
# in a C file.
#
# Eli Bendersky [http://eli.thegreenplace.net]
# License: BSD
#-----------------------------------------------------------------
from __future... | 26.361702 | 71 | 0.605327 |
efd6026b0c3083e42755fa51a41780120c066182 | 7,827 | py | Python | fs_image/tests/test_package_image.py | snarkmaster/buckit | bc1a176385226ccae1e518c4c9306f7af131b053 | [
"BSD-3-Clause"
] | null | null | null | fs_image/tests/test_package_image.py | snarkmaster/buckit | bc1a176385226ccae1e518c4c9306f7af131b053 | [
"BSD-3-Clause"
] | null | null | null | fs_image/tests/test_package_image.py | snarkmaster/buckit | bc1a176385226ccae1e518c4c9306f7af131b053 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import os
import stat
import subprocess
import sys
import tempfile
import unittest
from contextlib import contextmanager
from typing import Iterator
from btrfs_diff.tests.render_subvols import render_sendstream
from find_built_subvol import subvolumes_dir
from package_image import package_image... | 40.979058 | 80 | 0.577488 |
8e664dc5c02406e60df3598a81e33c2fc01db26a | 1,323 | py | Python | src/euler_python_package/euler_python/easiest/p021.py | wilsonify/euler | 5214b776175e6d76a7c6d8915d0e062d189d9b79 | [
"MIT"
] | null | null | null | src/euler_python_package/euler_python/easiest/p021.py | wilsonify/euler | 5214b776175e6d76a7c6d8915d0e062d189d9b79 | [
"MIT"
] | null | null | null | src/euler_python_package/euler_python/easiest/p021.py | wilsonify/euler | 5214b776175e6d76a7c6d8915d0e062d189d9b79 | [
"MIT"
] | null | null | null | def problem021():
"""
Let d(n) be defined as the sum of proper divisors of n (numbers less than
n which divide evenly into n).
If d(a) = b and d(b) = a, where a ≠ b, then a and b are an amicable pair
and each of a and b are called amicable numbers.
For example, the proper divisors... | 35.756757 | 106 | 0.631897 |
8f6694c726f447c26d5e007cff3268a0aded7a05 | 6,625 | py | Python | lib/galaxy/model/migrate/check.py | hidelab/galaxy-central-hpc | 75539db90abe90377db95718f83cafa7cfa43301 | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/model/migrate/check.py | hidelab/galaxy-central-hpc | 75539db90abe90377db95718f83cafa7cfa43301 | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/model/migrate/check.py | hidelab/galaxy-central-hpc | 75539db90abe90377db95718f83cafa7cfa43301 | [
"CC-BY-3.0"
] | null | null | null | import sys
import os.path
import logging
from galaxy import eggs
eggs.require( "SQLAlchemy" )
eggs.require( "decorator" ) #Required by sqlalchemy-migrate
eggs.require( "Tempita " ) #Required by sqlalchemy-migrate
eggs.require( "sqlalchemy-migrate" )
from sqlalchemy import *
from sqlalchemy.exc import NoSuchTableError... | 48.713235 | 190 | 0.674113 |
fd9c3abb78d7980fc81627030e8580a4dbf5690a | 277 | py | Python | var same memory loaction.py | manand881/Python-Programs | eb970cb1b21d4aede0102c60425eb8a1d4ac605c | [
"MIT"
] | null | null | null | var same memory loaction.py | manand881/Python-Programs | eb970cb1b21d4aede0102c60425eb8a1d4ac605c | [
"MIT"
] | null | null | null | var same memory loaction.py | manand881/Python-Programs | eb970cb1b21d4aede0102c60425eb8a1d4ac605c | [
"MIT"
] | null | null | null | # Prove that two string variables of same value point same memory location
str1= "anand"
str2= "anand"
print("\nmemory location of str1",hex(id(str1)))
print("\nmemory location of str2",hex(id(str1)))
if hex(id(str1))==hex(id(str2)):
print("\n\nmemory location matches") | 27.7 | 74 | 0.711191 |
f75e93025e0412d54dc52c859b66ed52d50ff310 | 1,044 | py | Python | piicatcher/__init__.py | argos-education/piicatcher | 7370cad8a4938762311926e8ab3bc286232e7106 | [
"Apache-2.0"
] | 4 | 2019-07-10T08:52:56.000Z | 2019-10-23T13:58:18.000Z | piicatcher/__init__.py | argos-education/piicatcher | 7370cad8a4938762311926e8ab3bc286232e7106 | [
"Apache-2.0"
] | 11 | 2019-03-21T11:28:07.000Z | 2019-08-30T12:13:28.000Z | piicatcher/__init__.py | argos-education/piicatcher | 7370cad8a4938762311926e8ab3bc286232e7106 | [
"Apache-2.0"
] | 2 | 2019-03-21T11:06:49.000Z | 2019-03-27T06:05:52.000Z | # flake8: noqa
__version__ = "0.19.2"
from dbcat.catalog.pii_types import PiiType
class Phone(PiiType):
name = "Phone"
type = "phone"
pass
class Email(PiiType):
name = "Email"
type = "email"
pass
class CreditCard(PiiType, type="credit_card"): # type: ignore
name = "Credit Card"
t... | 14.704225 | 62 | 0.609195 |
a7f5698c1cef6ce9471640192853575e425db3e2 | 526 | py | Python | release/stubs.min/Autodesk/Revit/DB/__init___parts/PointRelativeToPoint.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/Autodesk/Revit/DB/__init___parts/PointRelativeToPoint.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | release/stubs.min/Autodesk/Revit/DB/__init___parts/PointRelativeToPoint.py | YKato521/ironpython-stubs | b1f7c580de48528490b3ee5791b04898be95a9ae | [
"MIT"
] | null | null | null | class PointRelativeToPoint(PointElementReference):
""" Represents a point placed relative to another point. """
def GetHostPointReference(self):
"""
GetHostPointReference(self: PointRelativeToPoint) -> Reference
Get a copy of the host point reference.
"""
pass
def ... | 25.047619 | 82 | 0.676806 |
282c7616c1cb22e115cf80c625771d4209cebaeb | 12,326 | py | Python | py/yubikey.py | jsoref/yubioath-desktop | 26edbfc5ca42640fa15f6e983979fbf5dd280ec5 | [
"BSD-2-Clause"
] | null | null | null | py/yubikey.py | jsoref/yubioath-desktop | 26edbfc5ca42640fa15f6e983979fbf5dd280ec5 | [
"BSD-2-Clause"
] | null | null | null | py/yubikey.py | jsoref/yubioath-desktop | 26edbfc5ca42640fa15f6e983979fbf5dd280ec5 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import logging
import types
import ykman.logging_setup
from base64 import b32encode, b64decode
from binascii import a2b_hex, b2a_hex
from ykman.descriptor import get_descriptors
from ykman.util import (TRANSPORT, parse_b32_key)
from ykman.driver_otp import Yk... | 33.22372 | 78 | 0.589405 |
05d21b1619fbb9b322f483a36c0cfd3c89ad3816 | 146 | py | Python | src/demo_tezos_domains/hooks/on_synchronized.py | dipdup-net/dipdup-py | 1f42e3788d8eec1021e5002837471ce31dafe6ee | [
"MIT"
] | 39 | 2021-04-13T10:53:27.000Z | 2022-02-11T00:53:44.000Z | src/demo_quipuswap/hooks/on_synchronized.py | dipdup-net/dipdup-py | 1f42e3788d8eec1021e5002837471ce31dafe6ee | [
"MIT"
] | 113 | 2021-06-01T18:16:42.000Z | 2022-03-28T06:12:58.000Z | src/demo_tezos_domains/hooks/on_synchronized.py | dipdup-net/dipdup-py | 1f42e3788d8eec1021e5002837471ce31dafe6ee | [
"MIT"
] | 16 | 2021-05-26T07:04:40.000Z | 2022-03-29T06:50:25.000Z | from dipdup.context import HookContext
async def on_synchronized(
ctx: HookContext,
) -> None:
await ctx.execute_sql('on_synchronized')
| 18.25 | 44 | 0.746575 |
f8dbbd65ab4616fa44681397bd6caa8e7f1964ea | 874 | py | Python | lab/refactoring/extract_superclass_refactored.py | Deer5000/simplifying_conditional_expressions | 34314a4ae935d46dbe3af1d3c7715f1d0c2b2d35 | [
"MIT"
] | 1 | 2021-02-08T04:44:36.000Z | 2021-02-08T04:44:36.000Z | lab/refactoring/extract_superclass_refactored.py | Deer5000/simplifying_conditional_expressions | 34314a4ae935d46dbe3af1d3c7715f1d0c2b2d35 | [
"MIT"
] | 10 | 2021-02-18T18:47:15.000Z | 2021-06-02T04:40:46.000Z | lab/refactoring/extract_superclass_refactored.py | Deer5000/simplifying_conditional_expressions | 34314a4ae935d46dbe3af1d3c7715f1d0c2b2d35 | [
"MIT"
] | 34 | 2021-02-02T18:24:32.000Z | 2021-08-15T08:57:55.000Z | # By Kamran Bigdely
# Extract superclass
# Refactored.
class Enemy:
def __init__(self):
self.health = 100
def take_damage(self, damage):
self.health -= damage
class AngryMushroom(Enemy):
def __init__(self):
pass
def spread_poison(self):
print... | 18.595745 | 52 | 0.618993 |
e07bceb3d5d6fe1f885206927ddf5b285b695c2c | 3,099 | py | Python | src/util/constant.py | delavet/SOworkspace | 74bbcfa62c7e293b2b02f23249ac408aa22b44af | [
"MIT"
] | 6 | 2020-12-31T06:13:56.000Z | 2022-03-27T16:26:12.000Z | src/util/constant.py | delavet/SOworkspace | 74bbcfa62c7e293b2b02f23249ac408aa22b44af | [
"MIT"
] | null | null | null | src/util/constant.py | delavet/SOworkspace | 74bbcfa62c7e293b2b02f23249ac408aa22b44af | [
"MIT"
] | null | null | null | from pickle import NONE
class NodeType:
SCOPE = 'SCOPE'
MODULE = 'MODULE'
PACKAGE = 'PACKAGE'
CLASS = 'CLASS'
INTERFACE = 'INTERFACE'
ENUM = 'ENUM'
EXCEPTION = 'EXCEPTION'
ERROR = 'ERROR'
ANNOTATION = 'ANNOTATION'
FIELD = 'FIELD'
METHOD = 'METHOD'
ENUM_CONSTANT = 'ENUM_... | 30.99 | 129 | 0.694095 |
de86f2d4360c7899c477fd3dd9cdcc3c220ca8b8 | 2,153 | py | Python | Python scripts/fillerForNoOfSit_RepsAndDate.py | OQ2000/COVID-19-By-Country | bb8525835fd7910beafc34640cc6c3930758e873 | [
"FTL",
"CNRI-Python"
] | null | null | null | Python scripts/fillerForNoOfSit_RepsAndDate.py | OQ2000/COVID-19-By-Country | bb8525835fd7910beafc34640cc6c3930758e873 | [
"FTL",
"CNRI-Python"
] | null | null | null | Python scripts/fillerForNoOfSit_RepsAndDate.py | OQ2000/COVID-19-By-Country | bb8525835fd7910beafc34640cc6c3930758e873 | [
"FTL",
"CNRI-Python"
] | null | null | null | from pynput.keyboard import Key, Controller, KeyCode, Listener
import clipboard
from time import sleep
import os
import os.path
import sys
import random
from pyautogui import press, hotkey, typewrite, keyDown, keyUp
import webbrowser
import datetime
from datetime import time, date, timedelta
from openpyxl import Workbo... | 35.295082 | 116 | 0.704134 |
7f66d3a2b036c75ed67fe3d41eb242fcb2fd7e4a | 1,148 | py | Python | src/wealth/importers/common.py | langenhagen/wealth | 273887568aa0c6281751647effcf84cf5422ba37 | [
"MIT"
] | null | null | null | src/wealth/importers/common.py | langenhagen/wealth | 273887568aa0c6281751647effcf84cf5422ba37 | [
"MIT"
] | null | null | null | src/wealth/importers/common.py | langenhagen/wealth | 273887568aa0c6281751647effcf84cf5422ba37 | [
"MIT"
] | null | null | null | """Contains common code for importing bank transaction csv files."""
import pandas as pd
# Columns that most transactions have.
transfer_columns = [
"date",
"account",
"amount",
"description",
"account_type",
"transaction_type",
"all_data",
"correspondent",
"iban",
]
def add_all_d... | 28.7 | 81 | 0.626307 |
f74e8128ab731ab58c03214a3e6f1dfef6e8e675 | 403 | py | Python | python_aulas/desaf101_funcao_2_voto.py | gilsonaureliano/Python-aulas | 64269872acd482bcf297941ba28d30f13f29c752 | [
"MIT"
] | 1 | 2021-08-05T13:52:12.000Z | 2021-08-05T13:52:12.000Z | python_aulas/desaf101_funcao_2_voto.py | gilsonaureliano/Python-aulas | 64269872acd482bcf297941ba28d30f13f29c752 | [
"MIT"
] | null | null | null | python_aulas/desaf101_funcao_2_voto.py | gilsonaureliano/Python-aulas | 64269872acd482bcf297941ba28d30f13f29c752 | [
"MIT"
] | null | null | null | def voto(n):
from datetime import date
global ano
ano = date.today().year - n
if 65 > ano >= 18:
r = 'OBRIGATÓRIO'
return r
if ano < 18:
r = 'NEGADO'
return r
if ano > 65:
r = 'OPCIONAL'
return r
# programa principal
print('-=' * 20)
ano = int(i... | 18.318182 | 39 | 0.523573 |
5f1ccca12a8fbb3e2a790844f767ea67bc9b22a6 | 21,299 | py | Python | imate/interpolate_traceinv/interpolate_traceinv.py | ameli/TraceInv | fe759af016c5845d88ca98e56994b6c86c132792 | [
"BSD-3-Clause"
] | 1 | 2021-08-21T12:12:28.000Z | 2021-08-21T12:12:28.000Z | imate/interpolate_traceinv/interpolate_traceinv.py | ameli/TraceInv | fe759af016c5845d88ca98e56994b6c86c132792 | [
"BSD-3-Clause"
] | null | null | null | imate/interpolate_traceinv/interpolate_traceinv.py | ameli/TraceInv | fe759af016c5845d88ca98e56994b6c86c132792 | [
"BSD-3-Clause"
] | 1 | 2021-08-21T12:12:44.000Z | 2021-08-21T12:12:44.000Z | # SPDX-FileCopyrightText: Copyright 2021, Siavash Ameli <sameli@berkeley.edu>
# SPDX-License-Identifier: BSD-3-Clause
# SPDX-FileType: SOURCE
#
# This program is free software: you can redistribute it and/or modify it under
# the terms of the license found in the LICENSE.txt file in the root directory
# of this source ... | 35.03125 | 79 | 0.570262 |
f9db147d8a79bef88a3e0d483729f58c67727f34 | 3,113 | py | Python | tools/kunskap/tests/main_test.py | ZenPylon/professional-services | e579939dabfd135b7ad3c844e0824d4ba06a9793 | [
"Apache-2.0"
] | 14 | 2019-09-22T13:19:22.000Z | 2021-11-04T01:24:02.000Z | tools/kunskap/tests/main_test.py | ZenPylon/professional-services | e579939dabfd135b7ad3c844e0824d4ba06a9793 | [
"Apache-2.0"
] | 6 | 2020-01-28T22:42:21.000Z | 2021-10-30T05:50:15.000Z | tools/kunskap/tests/main_test.py | ZenPylon/professional-services | e579939dabfd135b7ad3c844e0824d4ba06a9793 | [
"Apache-2.0"
] | 19 | 2019-07-11T17:48:31.000Z | 2021-12-01T15:53:31.000Z | # Copyright 2019 Google Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 36.197674 | 102 | 0.699004 |
3337560d40f65ca3f3cd16b6ae3623125c895d16 | 16,857 | py | Python | src/config/utils/provision_pnf_servicechain.py | pawelzny/contrail-controller | 4950d3144cb8c422264ddb2a926cf4fe9e40b14d | [
"Apache-2.0"
] | null | null | null | src/config/utils/provision_pnf_servicechain.py | pawelzny/contrail-controller | 4950d3144cb8c422264ddb2a926cf4fe9e40b14d | [
"Apache-2.0"
] | null | null | null | src/config/utils/provision_pnf_servicechain.py | pawelzny/contrail-controller | 4950d3144cb8c422264ddb2a926cf4fe9e40b14d | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
#
# Copyright (c) 2019 Juniper Networks, Inc. All rights reserved.
#
import sys
import time
import argparse
import ConfigParser
import json
from vnc_api.vnc_api import *
from cfgm_common.exceptions import *
# Provision a PNF service chain
# Populate provision_pnf_servicechain.ini appropriately
cla... | 40.04038 | 80 | 0.584624 |
2708fb213e2294d453e6f9257b72868146a60ad6 | 14,689 | py | Python | calc_pixel_pairs.py | yishayv/lyacorr | deed114b4cadd4971caec68e2838a5fac39827b1 | [
"MIT"
] | 2 | 2017-03-21T14:18:35.000Z | 2020-03-30T20:51:33.000Z | calc_pixel_pairs.py | yishayv/lyacorr | deed114b4cadd4971caec68e2838a5fac39827b1 | [
"MIT"
] | null | null | null | calc_pixel_pairs.py | yishayv/lyacorr | deed114b4cadd4971caec68e2838a5fac39827b1 | [
"MIT"
] | null | null | null | """
Accumulate flux products from pixel pairs to bins.
Uses a Python/C API methods for the actual calculation.
There are 2 modes of operation:
- mean: sum of weighted flux products, sum of weights
- median: a weighted histogram of flux products.
Also contains a slower reference implement... | 44.783537 | 116 | 0.629791 |
fb2a4077b7f6009ae6b748f2aa6e46e8e2c068e3 | 1,355 | py | Python | SRC/engine/IO/GUI/meshwidget.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 31 | 2015-04-01T15:59:36.000Z | 2022-03-18T20:21:47.000Z | SRC/engine/IO/GUI/meshwidget.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 3 | 2015-02-06T19:30:24.000Z | 2017-05-25T14:14:31.000Z | SRC/engine/IO/GUI/meshwidget.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 7 | 2015-01-23T15:19:22.000Z | 2021-06-09T09:03:59.000Z | # -*- python -*-
# This software was produced by NIST, an agency of the U.S. government,
# and by statute is not subject to copyright in the United States.
# Recipients of this software assume all responsibilities associated
# with its operation, modification and maintenance. However, to
# facilitate maintenance we as... | 39.852941 | 78 | 0.712177 |
4c380c24e4d2ed344c33d40e910993d9dcf9f23a | 1,036 | py | Python | data_visualization/seaborn/example_03_matricial_plots.py | software-foundations/learning-data-science | 9214f9228d7d252e85e3b8362d94d294f1237523 | [
"MIT"
] | null | null | null | data_visualization/seaborn/example_03_matricial_plots.py | software-foundations/learning-data-science | 9214f9228d7d252e85e3b8362d94d294f1237523 | [
"MIT"
] | null | null | null | data_visualization/seaborn/example_03_matricial_plots.py | software-foundations/learning-data-science | 9214f9228d7d252e85e3b8362d94d294f1237523 | [
"MIT"
] | null | null | null | from datasets import load_dataframe_tips, load_dataframe_flights
from plots import heatmap, clustermap
import matplotlib.pyplot as plt
import numpy as np
# load datasets
flights = load_dataframe_flights()
tips = load_dataframe_tips()
# general data analysis
flights.head()
tips.head()
flights.info()
# heatmap - da... | 23.545455 | 80 | 0.787645 |
c27d3f74bf62f0e425e05dfb09ec680473691dfb | 1,731 | py | Python | studio/firebase_provider.py | NunoEdgarGFlowHub/studio | 42b221892a81535842ff25cbbcc434d6422a19e5 | [
"Apache-2.0"
] | null | null | null | studio/firebase_provider.py | NunoEdgarGFlowHub/studio | 42b221892a81535842ff25cbbcc434d6422a19e5 | [
"Apache-2.0"
] | null | null | null | studio/firebase_provider.py | NunoEdgarGFlowHub/studio | 42b221892a81535842ff25cbbcc434d6422a19e5 | [
"Apache-2.0"
] | null | null | null | from .keyvalue_provider import KeyValueProvider
class FirebaseProvider(KeyValueProvider):
def __init__(self, db_config, blocking_auth=True, verbose=10, store=None):
super(
FirebaseProvider,
self).__init__(
db_config,
blocking_auth,
verbose,
... | 34.62 | 78 | 0.52513 |
263ac9de5b542e0ba547910dc4351393b9fa176a | 2,393 | py | Python | TP4/agenetico.py | exegonzalez/Inteligencia-Artificial | a8283189937544fd75390c3b0283384319fe27c4 | [
"MIT"
] | null | null | null | TP4/agenetico.py | exegonzalez/Inteligencia-Artificial | a8283189937544fd75390c3b0283384319fe27c4 | [
"MIT"
] | null | null | null | TP4/agenetico.py | exegonzalez/Inteligencia-Artificial | a8283189937544fd75390c3b0283384319fe27c4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# d) Hacer el algoritmo/seudocódigo:
# 1. entrar una cadena
# 2. parsear las cadenas de bits en valores
# 3. hallar los códigos válidos y reemplazar los bits por los símbolos
# 4. descartar las si hay 'n/a'
# 5. evaluar fitness
import operator
def cromosoma(cadena):
... | 29.9125 | 119 | 0.656498 |
7855bf070ddec372e45ce4a0ebfa663ad5e44869 | 688 | py | Python | core/migrations/0005_ingredient.py | alessandroHenrique/recipe-app-api | 8384cff7e8c07736dc34215a24051ba8785dcd82 | [
"MIT"
] | null | null | null | core/migrations/0005_ingredient.py | alessandroHenrique/recipe-app-api | 8384cff7e8c07736dc34215a24051ba8785dcd82 | [
"MIT"
] | null | null | null | core/migrations/0005_ingredient.py | alessandroHenrique/recipe-app-api | 8384cff7e8c07736dc34215a24051ba8785dcd82 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.4 on 2021-06-24 19:19
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('core', '0004_tag'),
]
operations = [
migrations.CreateModel(
n... | 28.666667 | 118 | 0.619186 |
c83bfe94c5592a62b9affb5351ee2da4f316cea4 | 14,650 | py | Python | slim/quantization/train_quant.py | windstamp/PaddleSeg | 828808ea306adf2e8b94c291b77e7b7cf558bc2a | [
"ECL-2.0",
"Apache-2.0"
] | 56 | 2021-01-31T02:19:12.000Z | 2022-03-12T12:39:21.000Z | slim/quantization/train_quant.py | windstamp/PaddleSeg | 828808ea306adf2e8b94c291b77e7b7cf558bc2a | [
"ECL-2.0",
"Apache-2.0"
] | 1 | 2021-07-21T02:36:01.000Z | 2021-07-21T02:37:45.000Z | slim/quantization/train_quant.py | windstamp/PaddleSeg | 828808ea306adf2e8b94c291b77e7b7cf558bc2a | [
"ECL-2.0",
"Apache-2.0"
] | 13 | 2021-02-03T11:18:36.000Z | 2022-03-07T08:18:53.000Z | # coding: utf8
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserve.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless requ... | 36.262376 | 121 | 0.616997 |
dcbb535da18feda95bf73be6c1aa99a01d9f7615 | 11,216 | py | Python | SearchService2/appscale/search/query_parser/parser.py | loftwah/appscale | 586fc1347ebc743d7a632de698f4dbfb09ae38d6 | [
"Apache-2.0"
] | 790 | 2015-01-03T02:13:39.000Z | 2020-05-10T19:53:57.000Z | SearchService2/appscale/search/query_parser/parser.py | loftwah/appscale | 586fc1347ebc743d7a632de698f4dbfb09ae38d6 | [
"Apache-2.0"
] | 1,361 | 2015-01-08T23:09:40.000Z | 2020-04-14T00:03:04.000Z | SearchService2/appscale/search/query_parser/parser.py | loftwah/appscale | 586fc1347ebc743d7a632de698f4dbfb09ae38d6 | [
"Apache-2.0"
] | 155 | 2015-01-08T22:59:31.000Z | 2020-04-08T08:01:53.000Z | """
parser module is responsible for parsing query string and building
structured tree containing grouped expressions.
e.g.:
"foo bar OR (price<1025 AND product:(laptop OR camera))"
is translated to:
ExpressionsGroup(
OR
ExpressionsGroup(
AND
Expression(field_name=, operator=EQUALS, value=Value(str_value=... | 31.683616 | 76 | 0.687143 |
8705a8d89385d0482e2a415edd77d04628016a21 | 3,250 | py | Python | parameters.py | punk95/Continual-Learning-With-Curiosity | af0c507040e1352beb8740b6b3a7849417fc879a | [
"MIT"
] | 2 | 2021-07-12T17:11:35.000Z | 2021-07-13T05:56:30.000Z | parameters.py | punk95/Continual-Learning-With-Curiosity | af0c507040e1352beb8740b6b3a7849417fc879a | [
"MIT"
] | null | null | null | parameters.py | punk95/Continual-Learning-With-Curiosity | af0c507040e1352beb8740b6b3a7849417fc879a | [
"MIT"
] | null | null | null | import torch
import numpy as np
class NN_Paramters():
def __init__(self, state_dim, action_dim, non_linearity = torch.nn.functional.tanh, weight_initializer = 'xavier', bias_initializer = 'zero',
hidden_layer_dim = [128, 128], device= torch.device('cuda'), l_r=0.0001, CNN_layers = [(4, 32, 8,... | 37.790698 | 152 | 0.630154 |
6b788bea4eda69c8a645690680eb501eafa81554 | 2,648 | py | Python | dakotathon/method/centered_parameter_study.py | csdms/dakotathon | 6af575b0c21384b2a1ab51e26b6a08512313bd84 | [
"MIT"
] | 8 | 2019-09-11T12:59:57.000Z | 2021-08-11T16:31:58.000Z | dakotathon/method/centered_parameter_study.py | csdms/dakota | 6af575b0c21384b2a1ab51e26b6a08512313bd84 | [
"MIT"
] | 66 | 2015-04-06T17:11:21.000Z | 2019-02-03T18:09:52.000Z | dakotathon/method/centered_parameter_study.py | csdms/dakota | 6af575b0c21384b2a1ab51e26b6a08512313bd84 | [
"MIT"
] | 5 | 2015-03-24T22:39:34.000Z | 2018-04-21T12:14:05.000Z | #! /usr/bin/env python
"""Implementation of a Dakota centered parameter study."""
from .base import MethodBase
from ..utils import to_iterable
classname = "CenteredParameterStudy"
class CenteredParameterStudy(MethodBase):
"""Define parameters for a Dakota centered parameter study."""
def __init__(self, s... | 28.170213 | 84 | 0.596677 |
d9aa5166405bd9a6bce45c2b9659469497e59d65 | 4,972 | py | Python | iot/noxfile.py | elisheva-qlogic/google-cloud-python | 79a43138a1dd733feff005e4207c29f8b269d8c2 | [
"Apache-2.0"
] | null | null | null | iot/noxfile.py | elisheva-qlogic/google-cloud-python | 79a43138a1dd733feff005e4207c29f8b269d8c2 | [
"Apache-2.0"
] | null | null | null | iot/noxfile.py | elisheva-qlogic/google-cloud-python | 79a43138a1dd733feff005e4207c29f8b269d8c2 | [
"Apache-2.0"
] | 1 | 2020-04-14T10:47:41.000Z | 2020-04-14T10:47:41.000Z | # -*- coding: utf-8 -*-
#
# Copyright 2018 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... | 31.27044 | 84 | 0.650845 |
1db78ca3d88dfd39d3de5abbaa7730a15bc8fa00 | 8,851 | py | Python | libraries/mathy_python/mathy/solver.py | justindujardin/mathy | 776ac528d4586d6ea558a7212adb3559ea487a3c | [
"MIT"
] | 95 | 2020-01-02T23:02:34.000Z | 2022-03-08T18:57:24.000Z | libraries/mathy_python/mathy/solver.py | justindujardin/mathy | 776ac528d4586d6ea558a7212adb3559ea487a3c | [
"MIT"
] | 44 | 2020-01-05T03:07:45.000Z | 2021-08-11T20:45:53.000Z | libraries/mathy_python/mathy/solver.py | justindujardin/mathy | 776ac528d4586d6ea558a7212adb3559ea487a3c | [
"MIT"
] | 5 | 2020-04-04T16:46:36.000Z | 2022-03-30T08:10:02.000Z | """Use Fractal Monte Carlo search in order to solve mathy problems without a
trained neural network."""
from typing import Dict, List, Optional, Union
import numpy as np
from fragile.core.env import DiscreteEnv
from fragile.core.models import DiscreteModel
from fragile.core.states import StatesEnv, StatesModel, States... | 33.911877 | 88 | 0.620721 |
0b71e02396a0e5b4f9cfe408b4245157926a13ee | 23,079 | py | Python | conans/test/functional/graph_lock/dynamic_test.py | ssaavedra/conan | e15dc7902fbbeaf469798a3b9948ead1ecfc8e3c | [
"MIT"
] | null | null | null | conans/test/functional/graph_lock/dynamic_test.py | ssaavedra/conan | e15dc7902fbbeaf469798a3b9948ead1ecfc8e3c | [
"MIT"
] | null | null | null | conans/test/functional/graph_lock/dynamic_test.py | ssaavedra/conan | e15dc7902fbbeaf469798a3b9948ead1ecfc8e3c | [
"MIT"
] | null | null | null | import json
import textwrap
import unittest
from conans.client.tools.env import environment_append
from conans.test.utils.tools import TestClient, GenConanfile
class GraphLockDynamicTest(unittest.TestCase):
def test_partial_lock(self):
client = TestClient()
client.save({"conanfile.py": GenConanf... | 50.39083 | 101 | 0.612678 |
ea83af9d01143221cb4aed9ef4bcf91f97976e72 | 516 | py | Python | tests/test_demo.py | liguodongIOT/nlp-app-samples | e0cc747e88c7b5c701b5099462d2dd6277c23381 | [
"Apache-2.0"
] | 1 | 2021-09-30T08:16:21.000Z | 2021-09-30T08:16:21.000Z | tests/test_demo.py | liguodongIOT/nlp-app-samples | e0cc747e88c7b5c701b5099462d2dd6277c23381 | [
"Apache-2.0"
] | null | null | null | tests/test_demo.py | liguodongIOT/nlp-app-samples | e0cc747e88c7b5c701b5099462d2dd6277c23381 | [
"Apache-2.0"
] | 1 | 2021-11-24T06:24:44.000Z | 2021-11-24T06:24:44.000Z |
import numpy as np
import bisect
split_map = {"train": 0.334,
"eval": 0.333,
"test": 0.333}
probability_mass = np.cumsum(list(split_map.values()))
print(probability_mass)
max_value = probability_mass[-1]
# 从一个均匀分布[low,high)中随机采样，注意定义域是左闭右开，即包含low，不包含high，默认采集一个样本
print(np.ran... | 19.111111 | 71 | 0.680233 |
4fa5661058ad3c50967a795371ec222acdfc0f1e | 8,427 | py | Python | sandbox/matchpoint4.py | ja5per/MuddyMorph | 869ff199d9e0ce30e99d9b2289cf7c45fed7d8b8 | [
"MIT"
] | 1 | 2021-09-18T16:47:20.000Z | 2021-09-18T16:47:20.000Z | sandbox/matchpoint4.py | ja5per/MuddyMorph | 869ff199d9e0ce30e99d9b2289cf7c45fed7d8b8 | [
"MIT"
] | null | null | null | sandbox/matchpoint4.py | ja5per/MuddyMorph | 869ff199d9e0ce30e99d9b2289cf7c45fed7d8b8 | [
"MIT"
] | 1 | 2019-07-15T01:39:28.000Z | 2019-07-15T01:39:28.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Combine silhouette & corner based key point detection & matching.
Does this yield the powerful and flexible solution we seek?
"""
############
# Settings #
############
# Process these files
home = r'/Users/jasper/Documents/PythonSpul/muddymorph/testcases'
key_a = h... | 28.09 | 80 | 0.6103 |
b3fb1c1be5b5d07c779ec05d24aaeb32fddafb34 | 2,608 | py | Python | rlcard/envs/uno.py | wolfranAlpha/ML-ReproducibilityExercise | eb5378578536dcaf51121e104e1de6870b4ebcfa | [
"MIT"
] | null | null | null | rlcard/envs/uno.py | wolfranAlpha/ML-ReproducibilityExercise | eb5378578536dcaf51121e104e1de6870b4ebcfa | [
"MIT"
] | null | null | null | rlcard/envs/uno.py | wolfranAlpha/ML-ReproducibilityExercise | eb5378578536dcaf51121e104e1de6870b4ebcfa | [
"MIT"
] | null | null | null | import numpy as np
from rlcard.envs import Env
from rlcard.games.uno import Game
from rlcard.games.uno.utils import encode_hand, encode_target
from rlcard.games.uno.utils import ACTION_SPACE, ACTION_LIST
from rlcard.games.uno.utils import cards2list
class UnoEnv(Env):
def __init__(self, config):
self.na... | 35.243243 | 84 | 0.637653 |
94cb1e7107fb0068108a9353456d43e2dd6930d2 | 6,102 | py | Python | torch_glow/tests/nodes/layernorm_test.py | saranyakrish14/glow | 3562fba6a77d2bb4aacf98a5bff5a737a93f6adc | [
"Apache-2.0"
] | 1 | 2021-03-04T19:42:54.000Z | 2021-03-04T19:42:54.000Z | torch_glow/tests/nodes/layernorm_test.py | saranyakrish14/glow | 3562fba6a77d2bb4aacf98a5bff5a737a93f6adc | [
"Apache-2.0"
] | 1 | 2021-04-17T11:04:55.000Z | 2021-05-17T16:50:01.000Z | torch_glow/tests/nodes/layernorm_test.py | saranyakrish14/glow | 3562fba6a77d2bb4aacf98a5bff5a737a93f6adc | [
"Apache-2.0"
] | 2 | 2021-07-29T08:12:35.000Z | 2021-09-15T03:46:18.000Z | from __future__ import absolute_import, division, print_function, unicode_literals
import torch
import torch.nn.functional as F
from tests import utils
class SimpleLayerNormModule(torch.nn.Module):
def __init__(self, normalized_shape):
super(SimpleLayerNormModule, self).__init__()
self.normalized... | 33.527473 | 87 | 0.592593 |
a139c61e93bd3d976aaa5d706da3d269f7d52385 | 7,483 | py | Python | src/sync.py | neybar/icloud-drive-docker | c7e59400c01b304c0f8ed7fd0b3ea2a623623b2e | [
"BSD-3-Clause"
] | null | null | null | src/sync.py | neybar/icloud-drive-docker | c7e59400c01b304c0f8ed7fd0b3ea2a623623b2e | [
"BSD-3-Clause"
] | null | null | null | src/sync.py | neybar/icloud-drive-docker | c7e59400c01b304c0f8ed7fd0b3ea2a623623b2e | [
"BSD-3-Clause"
] | null | null | null | __author__ = 'Mandar Patil (mandarons@pm.me)'
import datetime
import os
import re
import time
from pathlib import Path
from shutil import copyfileobj, rmtree
from pyicloud import PyiCloudService, utils, exceptions
from src import config_parser
from src import notify
def wanted_file(filters, file_path, verbose=Fals... | 42.276836 | 117 | 0.647735 |
a4e2d245b83b1dea55eebea866ad97990814a66e | 692 | py | Python | secondary-voice-server-AI/lib/tacotron2/loss_function.py | doongu/pnu_opensource_hack | 1abcce865776182b677ee468135a86bb462e89a8 | [
"MIT"
] | 2 | 2021-05-06T12:34:11.000Z | 2021-05-10T02:26:27.000Z | secondary-voice-server-AI/lib/tacotron2/loss_function.py | doongu/pnu_opensource_hack | 1abcce865776182b677ee468135a86bb462e89a8 | [
"MIT"
] | null | null | null | secondary-voice-server-AI/lib/tacotron2/loss_function.py | doongu/pnu_opensource_hack | 1abcce865776182b677ee468135a86bb462e89a8 | [
"MIT"
] | 2 | 2020-11-27T00:55:15.000Z | 2021-09-20T17:08:11.000Z | from torch import nn
class Tacotron2Loss(nn.Module):
def __init__(self):
super(Tacotron2Loss, self).__init__()
def forward(self, model_output, targets):
mel_target, gate_target = targets[0], targets[1]
mel_target.requires_grad = False
gate_target.requires_grad = Fals... | 34.6 | 66 | 0.644509 |
f5ce0045f3c6dfdd357cd874f8ee24df0d8cb3d9 | 1,705 | py | Python | research/autoencoder/VariationalAutoencoderRunner.py | 873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a | [
"Apache-2.0"
] | 3,326 | 2018-01-26T22:42:25.000Z | 2022-02-16T13:16:39.000Z | research/autoencoder/VariationalAutoencoderRunner.py | 873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a | [
"Apache-2.0"
] | 150 | 2017-08-28T14:59:36.000Z | 2022-03-11T23:21:35.000Z | research/autoencoder/VariationalAutoencoderRunner.py | 873040/Abhishek | 2ddd716e66bc5cc6e6f0787508dd07da0e02e75a | [
"Apache-2.0"
] | 1,474 | 2018-02-01T04:33:18.000Z | 2022-03-08T07:02:20.000Z | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import sklearn.preprocessing as prep
import tensorflow as tf
from tensorflow.examples.tutorials.mnist import input_data
from autoencoder_models.VariationalAutoencoder import VariationalAutoe... | 29.912281 | 76 | 0.73607 |
85416428c979c84b01589ad3cb42d3b0e701b1f3 | 18,518 | py | Python | utils/util.py | aalto-intelligent-robotics/DDGC | 2118c67f4a1bd53390d5db60fe296a80c1550121 | [
"MIT"
] | 2 | 2021-11-18T03:40:13.000Z | 2021-12-28T08:43:59.000Z | utils/util.py | aalto-intelligent-robotics/DDGC | 2118c67f4a1bd53390d5db60fe296a80c1550121 | [
"MIT"
] | null | null | null | utils/util.py | aalto-intelligent-robotics/DDGC | 2118c67f4a1bd53390d5db60fe296a80c1550121 | [
"MIT"
] | 1 | 2022-03-07T09:21:16.000Z | 2022-03-07T09:21:16.000Z | from __future__ import print_function
from collections import OrderedDict
import trimesh
import quaternion
import torch
import math
import os
import numpy as np
from PIL import Image
import copy
import cvxopt as cvx
cvx.solvers.options['show_progress'] = False
def batch_pairwise_dist(x, y, use_cuda=True):
bs, num... | 34.166052 | 172 | 0.578194 |
6f89c0344fffbccdfd96407366e1d2e85fa5a5be | 39,415 | py | Python | weibull/weibull.py | slightlynybbled/weibull2 | dcf18c1d265bca82d202aa94b6e82acd936dee34 | [
"MIT"
] | 29 | 2017-12-14T18:59:40.000Z | 2022-02-23T23:51:15.000Z | weibull/weibull.py | slightlynybbled/weibull | dcf18c1d265bca82d202aa94b6e82acd936dee34 | [
"MIT"
] | 30 | 2017-12-14T16:38:21.000Z | 2020-05-27T05:25:46.000Z | weibull/weibull.py | slightlynybbled/weibull2 | dcf18c1d265bca82d202aa94b6e82acd936dee34 | [
"MIT"
] | 22 | 2018-01-27T20:57:25.000Z | 2021-11-27T10:14:11.000Z | import logging
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import matplotlib as mpl
from matplotlib import rcParams
import scipy.stats
from scipy.special import gamma
import datetime
from pathlib import Path
rcParams.update({'figure.autolayout': True})
# Set a larger default size for plots
... | 37.324811 | 273 | 0.557859 |
b46be718dd26fa7cad4784c2269374e35963c6a7 | 10,205 | py | Python | lib/gvLoggingConfig.py | globalvillagesoftware/infrastructure | 2e052c9da85a0d6be61795d66e0bf7b12fb62f09 | [
"Apache-2.0"
] | null | null | null | lib/gvLoggingConfig.py | globalvillagesoftware/infrastructure | 2e052c9da85a0d6be61795d66e0bf7b12fb62f09 | [
"Apache-2.0"
] | 20 | 2020-05-03T17:48:51.000Z | 2020-05-09T00:32:41.000Z | lib/gvLoggingConfig.py | globalvillagesoftware/infrastructure | 2e052c9da85a0d6be61795d66e0bf7b12fb62f09 | [
"Apache-2.0"
] | null | null | null | """
Logging Configuration Support
This class will eventually run stand-alone and will provide logging
configuration for an entire physical site, but originally it will simply be
part of the logging system support.
.. only:: development_administrator
Created on Jul. 14, 2020
@author: Jonathan Gossag... | 45.762332 | 80 | 0.616267 |
99681a427f85b575eb8e1e8c1adfc6d16b7ddf2f | 2,117 | py | Python | ui/utils.py | vietanhdang/Haystack-Modified- | c13352debe1decb537aea156137b55c11f64877a | [
"Apache-2.0"
] | null | null | null | ui/utils.py | vietanhdang/Haystack-Modified- | c13352debe1decb537aea156137b55c11f64877a | [
"Apache-2.0"
] | null | null | null | ui/utils.py | vietanhdang/Haystack-Modified- | c13352debe1decb537aea156137b55c11f64877a | [
"Apache-2.0"
] | null | null | null | import os
import requests
import streamlit as st
API_ENDPOINT = os.getenv("API_ENDPOINT", "http://localhost:8000")
DOC_REQUEST = "query"
DOC_FEEDBACK = "feedback"
DOC_UPLOAD = "file-upload"
@st.cache(show_spinner=False)
def retrieve_doc(query, filters=None, top_k_reader=5, top_k_retriever=5):
# Query Haystack A... | 33.078125 | 119 | 0.612659 |
9d9e06504524ebc88d907f2d94e64fe257c69c3c | 17,645 | py | Python | models/cycle_gan_mask_patch_model.py | pnsuau/CycleGAN | c88fce9c9404d2055e7ddb3f783f55ece5f9fbb7 | [
"BSD-3-Clause"
] | 1 | 2020-03-16T15:44:47.000Z | 2020-03-16T15:44:47.000Z | models/cycle_gan_mask_patch_model.py | pnsuau/CycleGAN | c88fce9c9404d2055e7ddb3f783f55ece5f9fbb7 | [
"BSD-3-Clause"
] | 1 | 2020-06-30T09:56:10.000Z | 2020-06-30T09:56:10.000Z | models/cycle_gan_mask_patch_model.py | pnsuau/CycleGAN | c88fce9c9404d2055e7ddb3f783f55ece5f9fbb7 | [
"BSD-3-Clause"
] | null | null | null | import torch
import itertools
from util.image_pool import ImagePool
from .base_model import BaseModel
from . import networks
from torch.autograd import Variable
import numpy as np
import torch.nn.functional as F
import kornia.geometry.transform as f
class CycleGANMaskPatchModel(BaseModel):
#def name(self):
# ... | 49.844633 | 362 | 0.59779 |
658221c73ea8c6408f686f27a33b6248b1d3ff1e | 3,464 | py | Python | detectron2/modeling/backbone/weight_init.py | thirdwave-ai/detectron2 | dc5d028721aa77558b7755ed81e4e13e1fef27e5 | [
"Apache-2.0"
] | null | null | null | detectron2/modeling/backbone/weight_init.py | thirdwave-ai/detectron2 | dc5d028721aa77558b7755ed81e4e13e1fef27e5 | [
"Apache-2.0"
] | 1 | 2021-07-21T17:10:32.000Z | 2021-07-21T17:10:32.000Z | detectron2/modeling/backbone/weight_init.py | thirdwave-ai/detectron2 | dc5d028721aa77558b7755ed81e4e13e1fef27e5 | [
"Apache-2.0"
] | 1 | 2021-12-15T20:44:46.000Z | 2021-12-15T20:44:46.000Z | """
Taken from timm.models.layers here: https://github.com/rwightman/pytorch-image-models/blob/master/timm/models/layers/weight_init.py
"""
import torch
import math
import warnings
from torch.nn.init import _calculate_fan_in_and_fan_out
def _no_grad_trunc_normal_(tensor, mean, std, a, b):
# Cut & paste from PyT... | 37.247312 | 131 | 0.64694 |
428b12fd1e0c4b4c0e15da9f136db115202761fc | 4,931 | py | Python | eval.py | villmow/transformer-xl | 059edb641c92f753a629b46d1dbe39b84692a3b2 | [
"Apache-2.0"
] | null | null | null | eval.py | villmow/transformer-xl | 059edb641c92f753a629b46d1dbe39b84692a3b2 | [
"Apache-2.0"
] | null | null | null | eval.py | villmow/transformer-xl | 059edb641c92f753a629b46d1dbe39b84692a3b2 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
git clone https://github.com/cybertronai/transformer-xl.git
cd transformer-xl/pytorch
source activate pytorch_p36
# Match eval parameters from paper.
# https://github.com/kimiyoung/transformer-xl/blob/master/tf/scripts/wt103_large_tpu.sh
python eval.py --data=data/wikitext-103 --dataset=wt103 --bat... | 39.766129 | 168 | 0.623403 |
e3a8aecd4eb26e844dc954d6429716eebe521622 | 679 | py | Python | regex/re-applications/ip-address-validation.py | PingHuskar/hackerrank | 1bfdbc63de5d0f94cd9e6ae250476b4a267662f2 | [
"Unlicense"
] | 41 | 2018-05-11T07:54:34.000Z | 2022-03-29T19:02:32.000Z | regex/re-applications/ip-address-validation.py | PingHuskar/hackerrank | 1bfdbc63de5d0f94cd9e6ae250476b4a267662f2 | [
"Unlicense"
] | 2 | 2021-09-13T10:03:26.000Z | 2021-10-04T10:21:05.000Z | regex/re-applications/ip-address-validation.py | PingHuskar/hackerrank | 1bfdbc63de5d0f94cd9e6ae250476b4a267662f2 | [
"Unlicense"
] | 21 | 2019-01-23T19:06:59.000Z | 2021-12-23T16:03:47.000Z | # Regex > Applications > IP Address Validation
# Validate possible IP Addresses with regex.
#
# https://www.hackerrank.com/challenges/ip-address-validation/problem
# https://www.hackerrank.com/contests/programming-interviews-practice-session/challenges/ip-address-validation
# challenge id: 896
#
import re
def check_... | 26.115385 | 110 | 0.599411 |
86d09e1dc3e46993f24d76109f174e7dcebf0c71 | 43,878 | py | Python | mne/chpi.py | cuckoong/mne-python | 09ede511b83720076d26e22b71c5eb5cad5c2f9f | [
"BSD-3-Clause"
] | null | null | null | mne/chpi.py | cuckoong/mne-python | 09ede511b83720076d26e22b71c5eb5cad5c2f9f | [
"BSD-3-Clause"
] | null | null | null | mne/chpi.py | cuckoong/mne-python | 09ede511b83720076d26e22b71c5eb5cad5c2f9f | [
"BSD-3-Clause"
] | 1 | 2020-03-05T08:43:17.000Z | 2020-03-05T08:43:17.000Z | # -*- coding: utf-8 -*-
"""Functions for fitting head positions with (c)HPI coils."""
# To fit head positions (continuously), the procedure using
# ``_calculate_chpi_positions`` is:
#
# 1. Get HPI coil locations (as digitized in info['dig'] in head coords
# using ``_get_hpi_initial_fit``.
# 2. Get HPI f... | 38.489474 | 79 | 0.578354 |
c4645143540c9c8d93012d3f036e9672656b8b7b | 5,086 | py | Python | aliyun-python-sdk-emr/aliyunsdkemr/request/v20160408/CreateFlowJobRequest.py | leafcoder/aliyun-openapi-python-sdk | 26b441ab37a5cda804de475fd5284bab699443f1 | [
"Apache-2.0"
] | 1,001 | 2015-07-24T01:32:41.000Z | 2022-03-25T01:28:18.000Z | aliyun-python-sdk-emr/aliyunsdkemr/request/v20160408/CreateFlowJobRequest.py | leafcoder/aliyun-openapi-python-sdk | 26b441ab37a5cda804de475fd5284bab699443f1 | [
"Apache-2.0"
] | 363 | 2015-10-20T03:15:00.000Z | 2022-03-08T12:26:19.000Z | aliyun-python-sdk-emr/aliyunsdkemr/request/v20160408/CreateFlowJobRequest.py | leafcoder/aliyun-openapi-python-sdk | 26b441ab37a5cda804de475fd5284bab699443f1 | [
"Apache-2.0"
] | 682 | 2015-09-22T07:19:02.000Z | 2022-03-22T09:51:46.000Z | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 31.395062 | 107 | 0.748132 |
2f2b9ffd62f7d3bbdbc8f3efeda84c068aea682c | 263 | py | Python | scripts/init.py | eduardonunes2525/competitive-programming | 0f6bdc573b4d03d1ed20a2b77ec5388dca1ee47b | [
"MIT"
] | null | null | null | scripts/init.py | eduardonunes2525/competitive-programming | 0f6bdc573b4d03d1ed20a2b77ec5388dca1ee47b | [
"MIT"
] | 1 | 2018-10-17T11:53:02.000Z | 2018-10-17T11:54:42.000Z | scripts/init.py | eduardonunes2525/competitive-programming | 0f6bdc573b4d03d1ed20a2b77ec5388dca1ee47b | [
"MIT"
] | 1 | 2018-10-17T12:14:04.000Z | 2018-10-17T12:14:04.000Z | import os, sys
command = ("cp /home/eduardonunes/workspace/competitive-programming/scripts/template.cpp ./%s.cpp" % (sys.argv[1]))
os.system(command)
os.system("vim %s.cpp" % sys.argv[1])
#os.system("mkdir test_cases && cd test_cases && touch in1.txt out1.txt")
| 37.571429 | 115 | 0.714829 |
70ffd3beeb40399cf810857d3f8ad106fa282fe7 | 23,085 | py | Python | unit_tests/utilities/test_zaza_utilities_parallel_series_upgrade.py | nicholasnjihian/zaza-openstack-tests | 59d5d24acf7e95ddcb18f224a975715e925a0109 | [
"ECL-2.0",
"Apache-2.0"
] | 5 | 2019-08-09T02:39:12.000Z | 2021-05-18T14:19:51.000Z | unit_tests/utilities/test_zaza_utilities_parallel_series_upgrade.py | nicholasnjihian/zaza-openstack-tests | 59d5d24acf7e95ddcb18f224a975715e925a0109 | [
"ECL-2.0",
"Apache-2.0"
] | 350 | 2019-05-13T10:28:33.000Z | 2022-03-30T13:35:16.000Z | unit_tests/utilities/test_zaza_utilities_parallel_series_upgrade.py | nicholasnjihian/zaza-openstack-tests | 59d5d24acf7e95ddcb18f224a975715e925a0109 | [
"ECL-2.0",
"Apache-2.0"
] | 72 | 2019-04-18T06:05:01.000Z | 2022-03-29T05:41:40.000Z | # Copyright 2020 Canonical Ltd.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 39.327087 | 79 | 0.60927 |
d9ab475fe377136f0d553858a89d11a8bd4de9bf | 551 | py | Python | misc/serial_ports_info.py | kr-g/thonny | 8aec29b6920482ba131bb03aab36ae2765e17d0d | [
"MIT"
] | null | null | null | misc/serial_ports_info.py | kr-g/thonny | 8aec29b6920482ba131bb03aab36ae2765e17d0d | [
"MIT"
] | null | null | null | misc/serial_ports_info.py | kr-g/thonny | 8aec29b6920482ba131bb03aab36ae2765e17d0d | [
"MIT"
] | null | null | null | import sys
if sys.platform == "darwin":
from adafruit_board_toolkit._list_ports_osx import comports
elif sys.platform == "win32":
from adafruit_board_toolkit._list_ports_windows import comports
else:
from serial.tools.list_ports import comports
for p in comports():
#if "VID" in p.hwid:
for key ... | 34.4375 | 91 | 0.622505 |
11339e719f4a665f33d2c1f809c6b51fa1362ef5 | 14,651 | py | Python | test/functional/wallet_address_types.py | sirgreyhat/verge | 3181a2658e01d2d8dceed6f57dca356d94c92be1 | [
"MIT"
] | 1,787 | 2016-02-20T23:38:23.000Z | 2020-02-11T14:10:01.000Z | test/functional/wallet_address_types.py | sirgreyhat/verge | 3181a2658e01d2d8dceed6f57dca356d94c92be1 | [
"MIT"
] | 824 | 2016-03-09T22:08:06.000Z | 2020-01-24T12:01:15.000Z | test/functional/wallet_address_types.py | sirgreyhat/verge | 3181a2658e01d2d8dceed6f57dca356d94c92be1 | [
"MIT"
] | 577 | 2016-02-10T20:26:47.000Z | 2020-01-13T09:22:44.000Z | #!/usr/bin/env python3
# Copyright (c) 2017 The Bitcoin Core developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
"""Test that the wallet can send and receive using all combinations of address types.
There are 5 nodes-under-... | 49.16443 | 205 | 0.649853 |
a3b4f8f172845a0666f68f0999ec1a5ed6a33449 | 5,028 | py | Python | survey/migrations/0001_initial.py | ShaonMahmood/SurveyApp | 981513d30e14afe10623993532a6390e12a23f12 | [
"MIT"
] | 1 | 2021-11-06T23:57:43.000Z | 2021-11-06T23:57:43.000Z | survey/migrations/0001_initial.py | ShaonMahmood/SurveyApp | 981513d30e14afe10623993532a6390e12a23f12 | [
"MIT"
] | null | null | null | survey/migrations/0001_initial.py | ShaonMahmood/SurveyApp | 981513d30e14afe10623993532a6390e12a23f12 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.5 on 2021-07-23 06:26
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import uuid
class Migration(migrations.Migration):
initial = True
dependencies = [
('question', '0001_initial'),
migrations.swappable_de... | 68.876712 | 216 | 0.654535 |
0731d179f98800ffd22ef282d530d14a851151f5 | 46 | py | Python | tgext/chameleon_genshi/__init__.py | TurboGears/tgext.chameleon_genshi | c6c223a353af0655512e693dcbfd8a717a36efeb | [
"MIT"
] | null | null | null | tgext/chameleon_genshi/__init__.py | TurboGears/tgext.chameleon_genshi | c6c223a353af0655512e693dcbfd8a717a36efeb | [
"MIT"
] | null | null | null | tgext/chameleon_genshi/__init__.py | TurboGears/tgext.chameleon_genshi | c6c223a353af0655512e693dcbfd8a717a36efeb | [
"MIT"
] | null | null | null | from .renderer import ChameleonGenshiRenderer
| 23 | 45 | 0.891304 |
60650a4df909c4cb08cec2b8d3754d711f708d9b | 6,680 | py | Python | grr/client/grr_response_client/streaming.py | billstackpole/grr | 203a0a99990a2d4004aed84a5cd822cbda2b418c | [
"Apache-2.0"
] | 1 | 2019-03-28T07:09:41.000Z | 2019-03-28T07:09:41.000Z | grr/client/grr_response_client/streaming.py | gingogo/grr | 203a0a99990a2d4004aed84a5cd822cbda2b418c | [
"Apache-2.0"
] | null | null | null | grr/client/grr_response_client/streaming.py | gingogo/grr | 203a0a99990a2d4004aed84a5cd822cbda2b418c | [
"Apache-2.0"
] | 1 | 2018-08-30T14:50:24.000Z | 2018-08-30T14:50:24.000Z | #!/usr/bin/env python
"""Utility classes for streaming files and memory."""
import abc
import os
from future.utils import with_metaclass
class Streamer(object):
"""An utility class for buffered processing.
Input is divided into chunk objects that can be processed individually. If
needed chunks returned by the... | 29.043478 | 80 | 0.68503 |
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