hexsha stringlengths 40 40 | size int64 5 2.06M | ext stringclasses 10
values | lang stringclasses 1
value | max_stars_repo_path stringlengths 3 248 | max_stars_repo_name stringlengths 5 125 | max_stars_repo_head_hexsha stringlengths 40 78 | max_stars_repo_licenses listlengths 1 10 | max_stars_count int64 1 191k ⌀ | max_stars_repo_stars_event_min_datetime stringlengths 24 24 ⌀ | max_stars_repo_stars_event_max_datetime stringlengths 24 24 ⌀ | max_issues_repo_path stringlengths 3 248 | max_issues_repo_name stringlengths 5 125 | max_issues_repo_head_hexsha stringlengths 40 78 | max_issues_repo_licenses listlengths 1 10 | max_issues_count int64 1 67k ⌀ | max_issues_repo_issues_event_min_datetime stringlengths 24 24 ⌀ | max_issues_repo_issues_event_max_datetime stringlengths 24 24 ⌀ | max_forks_repo_path stringlengths 3 248 | max_forks_repo_name stringlengths 5 125 | max_forks_repo_head_hexsha stringlengths 40 78 | max_forks_repo_licenses listlengths 1 10 | max_forks_count int64 1 105k ⌀ | max_forks_repo_forks_event_min_datetime stringlengths 24 24 ⌀ | max_forks_repo_forks_event_max_datetime stringlengths 24 24 ⌀ | content stringlengths 5 2.06M | avg_line_length float64 1 1.02M | max_line_length int64 3 1.03M | alphanum_fraction float64 0 1 | count_classes int64 0 1.6M | score_classes float64 0 1 | count_generators int64 0 651k | score_generators float64 0 1 | count_decorators int64 0 990k | score_decorators float64 0 1 | count_async_functions int64 0 235k | score_async_functions float64 0 1 | count_documentation int64 0 1.04M | score_documentation float64 0 1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
09d449514e9039bc5c41cf98d5932b80f0321669 | 898 | py | Python | TestSourceCode_Store/PIM_example_resize.py | leejaymin/QDroid | 13ff9d26932378513a7c9f0038eb59b922ed06eb | [
"Apache-2.0"
] | null | null | null | TestSourceCode_Store/PIM_example_resize.py | leejaymin/QDroid | 13ff9d26932378513a7c9f0038eb59b922ed06eb | [
"Apache-2.0"
] | null | null | null | TestSourceCode_Store/PIM_example_resize.py | leejaymin/QDroid | 13ff9d26932378513a7c9f0038eb59b922ed06eb | [
"Apache-2.0"
] | null | null | null | import sys
from PIL import Image
#import ImageChops
#import numpy as np
#import ImageChops
if __name__ == '__main__':
srcList = []
targetList = []
colorRate = []
avgColorRate = 0.0
sumColorRate = 0
validCount = 0
# image_src = '/root/Android_Application_source/recomended/0.png'
fir... | 26.411765 | 85 | 0.680401 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 552 | 0.614699 |
09d4d5139b90907a08147b1f476920cdd503f04c | 15,484 | py | Python | src/testing/functionaltests/webtest.py | pgecsenyi/piepy | 37bf6cb5bc8c4f9da3f695216beda7353d79fb29 | [
"MIT"
] | 1 | 2018-03-26T22:39:36.000Z | 2018-03-26T22:39:36.000Z | src/testing/functionaltests/webtest.py | pgecsenyi/piepy | 37bf6cb5bc8c4f9da3f695216beda7353d79fb29 | [
"MIT"
] | null | null | null | src/testing/functionaltests/webtest.py | pgecsenyi/piepy | 37bf6cb5bc8c4f9da3f695216beda7353d79fb29 | [
"MIT"
] | null | null | null | """
Web unit tests
"""
# pylint: disable=too-many-public-methods
import time
import unittest
import requests
from testing.communicationhelper import get_json, put_json
from testing.functions import are_expected_items_in_list, are_expected_kv_pairs_in_list, \
get_item_from_embedded_dict... | 32.529412 | 120 | 0.58822 | 15,003 | 0.968936 | 0 | 0 | 1,005 | 0.064906 | 0 | 0 | 5,210 | 0.336476 |
09d79f0d227847749db1ddb7eb6acbb60326e8b8 | 862 | py | Python | 10_Name_Card_Detection/pytorch-faster-rcnn/lib/datasets/factory.py | ZeroWeight/Pattern-Recognize | ce18ab7d218840978f546a94d02d4183c9dc1aac | [
"MIT"
] | 4 | 2018-07-30T01:46:22.000Z | 2019-04-09T12:23:52.000Z | 10_Name_Card_Detection/pytorch-faster-rcnn/lib/datasets/factory.py | ZeroWeight/Pattern-Recognize | ce18ab7d218840978f546a94d02d4183c9dc1aac | [
"MIT"
] | null | null | null | 10_Name_Card_Detection/pytorch-faster-rcnn/lib/datasets/factory.py | ZeroWeight/Pattern-Recognize | ce18ab7d218840978f546a94d02d4183c9dc1aac | [
"MIT"
] | 1 | 2020-02-25T05:09:06.000Z | 2020-02-25T05:09:06.000Z | # --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# --------------------------------------------------------
"""Factory method for easily getting imdbs by name."""
__sets = {}
fro... | 29.724138 | 79 | 0.612529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 487 | 0.564965 |
09d9a6c70c2c9fb2475c65d8587c45d1e8aa1eb1 | 1,251 | py | Python | portafolio/core/views.py | breinerGiraldo/python | 89603d7ce0be8e2bb20817ee3c845fdb26a1b54a | [
"bzip2-1.0.6"
] | null | null | null | portafolio/core/views.py | breinerGiraldo/python | 89603d7ce0be8e2bb20817ee3c845fdb26a1b54a | [
"bzip2-1.0.6"
] | null | null | null | portafolio/core/views.py | breinerGiraldo/python | 89603d7ce0be8e2bb20817ee3c845fdb26a1b54a | [
"bzip2-1.0.6"
] | null | null | null | from django.shortcuts import render,HTTpResponse
# Create your views here.
def indexcore(request):
return render(request,'index.html')
def nosotros(request):
return render(request,'nosotros.html')
def indexcore(request):
#iniciamos el formulario de contacto
FormarContac= ContactForm()
#valid... | 39.09375 | 106 | 0.655476 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 563 | 0.45004 |
09da5fe1886cdd50f1983ad7996a351fe7c5c4f5 | 257 | py | Python | setup.py | luphord/australian-housing-exercise | 441b8700cfe6d50742945b33d4f123dc6c497e5a | [
"MIT"
] | null | null | null | setup.py | luphord/australian-housing-exercise | 441b8700cfe6d50742945b33d4f123dc6c497e5a | [
"MIT"
] | null | null | null | setup.py | luphord/australian-housing-exercise | 441b8700cfe6d50742945b33d4f123dc6c497e5a | [
"MIT"
] | null | null | null | from setuptools import find_packages, setup
setup(
name='australian_housing',
packages=find_packages(),
version='0.2.1',
description='"A data science exercise on Australian house approvements"',
author='"luphord"',
license='MIT',
)
| 23.363636 | 77 | 0.696498 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 103 | 0.400778 |
09dbc482da6f2620a0ec95d44dab6ffbe0c052f9 | 4,439 | py | Python | monopoly.py | michaelhutton/monopoly | d3adcf524dfb015dbdaaadf905ca8cc4396fde3e | [
"MIT"
] | null | null | null | monopoly.py | michaelhutton/monopoly | d3adcf524dfb015dbdaaadf905ca8cc4396fde3e | [
"MIT"
] | null | null | null | monopoly.py | michaelhutton/monopoly | d3adcf524dfb015dbdaaadf905ca8cc4396fde3e | [
"MIT"
] | null | null | null | import random
squares = [
"Go",
"Mediterranean Ave.",
"Community Chest",
"Baltic Ave.",
"Income Tax",
"Reading Railroad",
"Oriental Ave.",
"Chance",
"Vermont Ave.",
"Connecticut Ave.",
"Jail",
"St. Charles Place",
"Electric Company",
"States Ave.",
"Virginia ... | 29.593333 | 80 | 0.581437 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2,423 | 0.545844 |
09ddae526c3cd9bcfe820b2b4ae3706b5e1e7c32 | 7,769 | py | Python | coinzdense/app.py | pibara/coinzdense-python | f051770b71fa0afe935eb0d2079dab21eea9432d | [
"BSD-3-Clause"
] | null | null | null | coinzdense/app.py | pibara/coinzdense-python | f051770b71fa0afe935eb0d2079dab21eea9432d | [
"BSD-3-Clause"
] | null | null | null | coinzdense/app.py | pibara/coinzdense-python | f051770b71fa0afe935eb0d2079dab21eea9432d | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/python3
from coinzdense.signing import SigningKey as _SigningKey
from coinzdense.validation import ValidationEnv as _ValidationEnv
from coinzdense.wallet import create_wallet as _create_wallet
from coinzdense.wallet import open_wallet as _open_wallet
def _keys_per_signature(hashlen, otsbits):
return 2*(... | 50.122581 | 132 | 0.635603 | 6,741 | 0.867679 | 0 | 0 | 0 | 0 | 0 | 0 | 1,866 | 0.240185 |
09de00e54d3860203b7729e1854754335ac141d7 | 1,296 | py | Python | src/asyncdataflow/inspector.py | tomaszkingukrol/async-data-flow | 1572ef101cb0e6a0f27a77401538a4620ee9939f | [
"Apache-2.0"
] | null | null | null | src/asyncdataflow/inspector.py | tomaszkingukrol/async-data-flow | 1572ef101cb0e6a0f27a77401538a4620ee9939f | [
"Apache-2.0"
] | null | null | null | src/asyncdataflow/inspector.py | tomaszkingukrol/async-data-flow | 1572ef101cb0e6a0f27a77401538a4620ee9939f | [
"Apache-2.0"
] | null | null | null | from collections.abc import Iterable
from typing import Callable, Tuple
import inspect
from .definition import DataFlowInspector
from .exceptions import DataFlowFunctionArgsError, DataFlowNotCallableError, DataFlowEmptyError, DataFlowNotTupleError
class DataFlowInspect(DataFlowInspector):
''' Function inspectio... | 35.027027 | 118 | 0.655864 | 691 | 0.533179 | 0 | 0 | 0 | 0 | 0 | 0 | 147 | 0.113426 |
09e5ab892fd8685aedec11f8378615ed2931fa1c | 891 | py | Python | processing_pipeline/extractionless_registration.py | SijRa/Brain-Image-Analysis-using-Deep-Learning | a35411bda6e39eff57f715a695b7fb6a30997706 | [
"MIT"
] | 2 | 2022-01-04T16:54:20.000Z | 2022-01-24T03:01:14.000Z | processing_pipeline/extractionless_registration.py | SijRa/Brain-Image-Analysis-using-Deep-Learning | a35411bda6e39eff57f715a695b7fb6a30997706 | [
"MIT"
] | null | null | null | processing_pipeline/extractionless_registration.py | SijRa/Brain-Image-Analysis-using-Deep-Learning | a35411bda6e39eff57f715a695b7fb6a30997706 | [
"MIT"
] | 1 | 2020-07-05T09:30:11.000Z | 2020-07-05T09:30:11.000Z | from ants import registration, image_read, image_write, resample_image, crop_image
from os import listdir
mri_directory = "ADNI_baseline_raw/"
template_loc = "MNI152_2009/mni_icbm152_t1_tal_nlin_sym_09a.nii"
template = image_read(template_loc)
template = resample_image(template, (192, 192, 160), True, 4)
#template = ... | 40.5 | 89 | 0.751964 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 237 | 0.265993 |
09e5f7e19923e048c28f58a87dbbfe0de36d4a04 | 362 | py | Python | 3rdparty/pytorch/torch/autograd/variable.py | WoodoLee/TorchCraft | 999f68aab9e7d50ed3ae138297226dc95fefc458 | [
"MIT"
] | 51 | 2020-01-26T23:32:57.000Z | 2022-03-20T14:49:57.000Z | 3rdparty/pytorch/torch/autograd/variable.py | WoodoLee/TorchCraft | 999f68aab9e7d50ed3ae138297226dc95fefc458 | [
"MIT"
] | 2 | 2020-12-19T20:00:28.000Z | 2021-03-03T20:22:45.000Z | 3rdparty/pytorch/torch/autograd/variable.py | WoodoLee/TorchCraft | 999f68aab9e7d50ed3ae138297226dc95fefc458 | [
"MIT"
] | 33 | 2020-02-18T16:15:48.000Z | 2022-03-24T15:12:05.000Z | import torch
from torch._six import with_metaclass
class VariableMeta(type):
def __instancecheck__(self, other):
return isinstance(other, torch.Tensor)
class Variable(with_metaclass(VariableMeta, torch._C._LegacyVariableBase)):
pass
from torch._C import _ImperativeEngine as ImperativeEngine
Variab... | 22.625 | 75 | 0.79558 | 196 | 0.541436 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
09e7e9329ecb594a1ce5f26cf6f1dcdac3d78aef | 15,237 | py | Python | sp_api/api/finances/models/shipment_item.py | lionsdigitalsolutions/python-amazon-sp-api | 7374523ebc65e2e01e37d03fc4009a44fabf2c3b | [
"MIT"
] | null | null | null | sp_api/api/finances/models/shipment_item.py | lionsdigitalsolutions/python-amazon-sp-api | 7374523ebc65e2e01e37d03fc4009a44fabf2c3b | [
"MIT"
] | null | null | null | sp_api/api/finances/models/shipment_item.py | lionsdigitalsolutions/python-amazon-sp-api | 7374523ebc65e2e01e37d03fc4009a44fabf2c3b | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Selling Partner API for Finances
The Selling Partner API for Finances helps you obtain financial information relevant to a seller's business. You can obtain financial events for a given order, financial event group, or date range without having to wait until a statement period closes. You ... | 35.270833 | 377 | 0.671458 | 14,678 | 0.963313 | 0 | 0 | 8,903 | 0.584301 | 0 | 0 | 7,916 | 0.519525 |
09e83bd920be035d9c74e3803047761cd01ba2d9 | 583 | py | Python | glycan_profiling/database/prebuilt/__init__.py | mstim/glycresoft | 1d305c42c7e6cba60326d8246e4a485596a53513 | [
"Apache-2.0"
] | 4 | 2019-04-26T15:47:57.000Z | 2021-04-20T22:53:58.000Z | glycan_profiling/database/prebuilt/__init__.py | mstim/glycresoft | 1d305c42c7e6cba60326d8246e4a485596a53513 | [
"Apache-2.0"
] | 8 | 2017-11-22T19:20:20.000Z | 2022-02-14T01:49:58.000Z | glycan_profiling/database/prebuilt/__init__.py | mstim/glycresoft | 1d305c42c7e6cba60326d8246e4a485596a53513 | [
"Apache-2.0"
] | 3 | 2017-11-21T18:05:28.000Z | 2021-09-23T18:38:33.000Z | from .utils import hypothesis_register
from . import heparin
from . import combinatorial_mammalian_n_linked
from . import glycosaminoglycan_linkers
from . import combinatorial_human_n_linked
from . import biosynthesis_human_n_linked
from . import biosynthesis_mammalian_n_linked
from . import human_mucin_o_linked
__al... | 27.761905 | 46 | 0.806175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 205 | 0.35163 |
09e84e1dd2d539b68ad7f9d464717d52336a5ae9 | 216 | py | Python | zhongyicheng/scripts/test.py | Chr0802/No-easy-summer1 | d8d88b8d025f039deca7c89518b63446e4f80567 | [
"MIT"
] | 2 | 2021-08-05T11:44:12.000Z | 2021-08-31T10:50:13.000Z | zhongyicheng/scripts/test.py | Chr0802/No-easy-summer1 | d8d88b8d025f039deca7c89518b63446e4f80567 | [
"MIT"
] | 1 | 2021-08-07T03:21:12.000Z | 2021-08-07T03:21:12.000Z | zhongyicheng/scripts/test.py | Chr0802/No-easy-summer1 | d8d88b8d025f039deca7c89518b63446e4f80567 | [
"MIT"
] | 8 | 2021-07-26T05:11:37.000Z | 2021-10-05T05:34:34.000Z | from elasticsearch import Elasticsearch
es = Elasticsearch([
{'host':'localhost','port':8200},
])
print(es.search(index='ename_test_multiprocess',body={"query":{"match":{"name":str(input())}}})['hits']['hits'])
| 30.857143 | 112 | 0.680556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 80 | 0.37037 |
09e89717699974cfa907e599273f2f898e6cc20f | 30 | py | Python | pastepdb/__init__.py | pooriaahmadi/pastepdb | 166b2e8614ee2ea6c8f2f804af23458defb4674a | [
"MIT"
] | 8 | 2021-03-17T10:48:49.000Z | 2021-04-06T08:16:04.000Z | pastepdb/__init__.py | pooriaahmadi/pastepdb | 166b2e8614ee2ea6c8f2f804af23458defb4674a | [
"MIT"
] | null | null | null | pastepdb/__init__.py | pooriaahmadi/pastepdb | 166b2e8614ee2ea6c8f2f804af23458defb4674a | [
"MIT"
] | null | null | null | from .pastepdb import pastepdb | 30 | 30 | 0.866667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
09e89b2450d77d8cea8acdf70dfa8deb4095af90 | 3,370 | py | Python | my_plugins/youcompleteme/python/ycm/tests/diagnostic_interface_test.py | VirtualLG/vimrc | 33f961b0e465b852753479bc4aa0a32a6ff017cf | [
"MIT"
] | null | null | null | my_plugins/youcompleteme/python/ycm/tests/diagnostic_interface_test.py | VirtualLG/vimrc | 33f961b0e465b852753479bc4aa0a32a6ff017cf | [
"MIT"
] | null | null | null | my_plugins/youcompleteme/python/ycm/tests/diagnostic_interface_test.py | VirtualLG/vimrc | 33f961b0e465b852753479bc4aa0a32a6ff017cf | [
"MIT"
] | null | null | null | # Copyright (C) 2015-2018 YouCompleteMe contributors
#
# This file is part of YouCompleteMe.
#
# YouCompleteMe is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your opt... | 32.403846 | 77 | 0.625223 | 1,555 | 0.461287 | 0 | 0 | 0 | 0 | 0 | 0 | 1,132 | 0.335805 |
09e91e344b133bb70e9396f03df09da25b24a2b5 | 1,372 | py | Python | oa_zalo/zalo_base/migrations/0004_auto_20210714_0949.py | quandxbp/vnpt-ccos | 23d2bc3d3db2e0bce479e0ccfa62e13451306635 | [
"bzip2-1.0.6"
] | null | null | null | oa_zalo/zalo_base/migrations/0004_auto_20210714_0949.py | quandxbp/vnpt-ccos | 23d2bc3d3db2e0bce479e0ccfa62e13451306635 | [
"bzip2-1.0.6"
] | null | null | null | oa_zalo/zalo_base/migrations/0004_auto_20210714_0949.py | quandxbp/vnpt-ccos | 23d2bc3d3db2e0bce479e0ccfa62e13451306635 | [
"bzip2-1.0.6"
] | null | null | null | # Generated by Django 3.2.4 on 2021-07-14 02:49
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('zalo_base', '0003_auto_20210713_1103'),
]
operations = [
migrations.DeleteModel(
name='ZaloMessage',
),
migratio... | 29.191489 | 74 | 0.559038 | 1,279 | 0.932216 | 0 | 0 | 0 | 0 | 0 | 0 | 200 | 0.145773 |
09e9f3d9309a9df34ab48cce11c67316c012a978 | 272 | py | Python | project/web/utils/docx_files.py | sirodeneko/pyProject | 02cd67df26decf7b0ec20d86a2bbb5bce9f4e369 | [
"MIT"
] | null | null | null | project/web/utils/docx_files.py | sirodeneko/pyProject | 02cd67df26decf7b0ec20d86a2bbb5bce9f4e369 | [
"MIT"
] | 1 | 2020-11-30T09:35:15.000Z | 2020-11-30T09:35:15.000Z | project/web/utils/docx_files.py | sirodeneko/pyProject | 02cd67df26decf7b0ec20d86a2bbb5bce9f4e369 | [
"MIT"
] | 1 | 2020-11-30T09:33:24.000Z | 2020-11-30T09:33:24.000Z | import json
import os
import re
import urllib.request
def docx_files_names():
file_path = './static/reports/'
files = os.listdir(file_path)
names = []
for item in files:
if item.endswith('.docx'):
names.append(item)
return names
| 17 | 35 | 0.632353 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.095588 |
09eadaf88e96e921514284415b829745e173d0ca | 708 | py | Python | pkgs/javusdev/javusdev/settings.py | quapka/javus | 577e0c2dabfaea39d7ffacd42100d8a5f4cd738c | [
"MIT"
] | 1 | 2020-09-22T01:38:21.000Z | 2020-09-22T01:38:21.000Z | pkgs/javusdev/javusdev/settings.py | petrs/javus | 6927c824d5e6b574a6a323c87bd5aa117eca5b00 | [
"MIT"
] | null | null | null | pkgs/javusdev/javusdev/settings.py | petrs/javus | 6927c824d5e6b574a6a323c87bd5aa117eca5b00 | [
"MIT"
] | 1 | 2020-07-26T07:20:47.000Z | 2020-07-26T07:20:47.000Z | import os
from pathlib import Path
def get_project_root() -> Path:
# kudos to https://stackoverflow.com/a/53465812/2377489
relative_root = Path(__file__).parent.parent
return relative_root
def get_project_src() -> Path:
return get_project_root() / "javusdev"
def get_project_data() -> Path:
re... | 23.6 | 83 | 0.728814 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 187 | 0.264124 |
09edfb321e8839956c0dd18d657713402150647f | 2,043 | py | Python | examples/design_studies/ihm_fingergait/check_progress.py | cbteeple/somo | 53a1a94f7d9d624bc4c43e582c80f24a0e98df24 | [
"MIT"
] | null | null | null | examples/design_studies/ihm_fingergait/check_progress.py | cbteeple/somo | 53a1a94f7d9d624bc4c43e582c80f24a0e98df24 | [
"MIT"
] | null | null | null | examples/design_studies/ihm_fingergait/check_progress.py | cbteeple/somo | 53a1a94f7d9d624bc4c43e582c80f24a0e98df24 | [
"MIT"
] | null | null | null | # Be sure to run this file from the "palm_sweeps" folder
# cd examples/palm_sweeps
import os
import sys
from datetime import datetime
path = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", ".."))
sys.path.insert(0, path)
from somo.sweep import iter_utils
config_file = "sweeps/grid_diam_height.yam... | 29.185714 | 94 | 0.708762 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 634 | 0.310328 |
09f226a5810e82fde46ce6d76eb7db7321ca355b | 3,998 | py | Python | Projects/Project 1/Handin/program.py | ymirthor/T-215-STY1 | b888da1e88c5aa16eac03353f525e9e0b9d901df | [
"MIT"
] | null | null | null | Projects/Project 1/Handin/program.py | ymirthor/T-215-STY1 | b888da1e88c5aa16eac03353f525e9e0b9d901df | [
"MIT"
] | null | null | null | Projects/Project 1/Handin/program.py | ymirthor/T-215-STY1 | b888da1e88c5aa16eac03353f525e9e0b9d901df | [
"MIT"
] | null | null | null | from collections import deque as LL
class Process:
def __init__(self, parent, priority):
self.state = 1 # State: 1=ready / 0=blocked
self.parent = parent
self.children = LL()
self.resources = LL()
self.priority = priority
self.blocked_on = None
class Resource:
d... | 35.070175 | 79 | 0.598049 | 3,955 | 0.989245 | 0 | 0 | 0 | 0 | 0 | 0 | 561 | 0.14032 |
09f23dc12e2bcbc1428ea1ce895f4e644cb3aca4 | 2,449 | py | Python | utils/ion.py | karlstratos/EntityQuestions | c4969aa6ca464773c2c35ab0569ba5924320d8d9 | [
"MIT"
] | 103 | 2021-09-16T18:19:49.000Z | 2022-03-29T03:18:50.000Z | utils/ion.py | karlstratos/EntityQuestions | c4969aa6ca464773c2c35ab0569ba5924320d8d9 | [
"MIT"
] | 8 | 2021-09-25T00:00:37.000Z | 2022-03-24T01:01:35.000Z | utils/ion.py | karlstratos/EntityQuestions | c4969aa6ca464773c2c35ab0569ba5924320d8d9 | [
"MIT"
] | 10 | 2021-09-19T08:12:53.000Z | 2022-03-23T09:09:23.000Z | """
General framework for reading/writing data from/to files on
the local system.
"""
import json
import random
from pathlib import Path
###############################################################################
# FILE READING #################################################
####################... | 31 | 79 | 0.475704 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 863 | 0.352389 |
09f240acbe9b8fa80d51945cdcc670845719d41c | 2,394 | py | Python | pg_methods/interfaces/state_processors.py | zafarali/policy-gradient-methods | f0d83a80ddc772dcad0c851aac9bfd41d436c274 | [
"MIT"
] | 28 | 2018-06-12T21:37:20.000Z | 2021-12-27T15:13:14.000Z | pg_methods/interfaces/state_processors.py | zafarali/policy-gradient-methods | f0d83a80ddc772dcad0c851aac9bfd41d436c274 | [
"MIT"
] | 3 | 2018-05-10T16:33:05.000Z | 2018-06-19T18:17:37.000Z | pg_methods/interfaces/state_processors.py | zafarali/policy-gradient-methods | f0d83a80ddc772dcad0c851aac9bfd41d436c274 | [
"MIT"
] | 7 | 2018-05-08T04:13:21.000Z | 2021-04-02T12:31:55.000Z | import gym
import torch
import numpy as np
from pg_methods.interfaces import common_interfaces as common
class SimpleStateProcessor(common.Interface):
"""
Allows one to interface states between a single instance of gym
"""
def __init__(self, environment_observation_space, one_hot=False, use_cuda=False... | 36.272727 | 102 | 0.575188 | 2,287 | 0.955305 | 0 | 0 | 0 | 0 | 0 | 0 | 102 | 0.042607 |
09f69dea9d9541fb1a471fe9f8d7ffca1d756933 | 3,935 | py | Python | tests/test_emlib.py | mjpekala/faster-membranes | f203fc8608603bc7b16a1abeac324d52e9dfe96a | [
"Apache-2.0"
] | null | null | null | tests/test_emlib.py | mjpekala/faster-membranes | f203fc8608603bc7b16a1abeac324d52e9dfe96a | [
"Apache-2.0"
] | null | null | null | tests/test_emlib.py | mjpekala/faster-membranes | f203fc8608603bc7b16a1abeac324d52e9dfe96a | [
"Apache-2.0"
] | null | null | null | """Unit test for emlib.py
To run:
PYTHONPATH=../src python test_emlib.py
"""
__author__ = "Mike Pekala"
__copyright__ = "Copyright 2015, JHU/APL"
__license__ = "Apache 2.0"
import unittest
import numpy as np
from sklearn.metrics import precision_recall_fscore_support as smetrics
import emlib
class TestEmlib... | 33.067227 | 88 | 0.519695 | 3,522 | 0.895044 | 0 | 0 | 0 | 0 | 0 | 0 | 891 | 0.226429 |
09f80f8b20cbf9fab41433b7fb79cb311415a791 | 193 | py | Python | src/biopsykit/signals/imu/feature_extraction/__init__.py | Zwitscherle/BioPsyKit | 7200c5f1be75c20f53e1eb4c991aca1c89e3dd88 | [
"MIT"
] | 10 | 2020-11-05T13:34:55.000Z | 2022-03-11T16:20:10.000Z | src/biopsykit/signals/imu/feature_extraction/__init__.py | Zwitscherle/BioPsyKit | 7200c5f1be75c20f53e1eb4c991aca1c89e3dd88 | [
"MIT"
] | 14 | 2021-03-11T14:43:52.000Z | 2022-03-10T19:44:57.000Z | src/biopsykit/signals/imu/feature_extraction/__init__.py | Zwitscherle/BioPsyKit | 7200c5f1be75c20f53e1eb4c991aca1c89e3dd88 | [
"MIT"
] | 3 | 2021-09-13T13:14:38.000Z | 2022-02-19T09:13:25.000Z | """Module containing scripts for different feature extraction techniques from raw IMU data."""
from biopsykit.signals.imu.feature_extraction import static_moments
__all__ = ["static_moments"]
| 38.6 | 94 | 0.818653 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 110 | 0.569948 |
09f91afeaca4a61947c025a6985fde971a2433a0 | 727 | py | Python | app/core/bluetooth/models.py | FHellmann/MLWTF | 582c3505d638907a848d5a6c739ee99981300f17 | [
"Apache-2.0"
] | null | null | null | app/core/bluetooth/models.py | FHellmann/MLWTF | 582c3505d638907a848d5a6c739ee99981300f17 | [
"Apache-2.0"
] | null | null | null | app/core/bluetooth/models.py | FHellmann/MLWTF | 582c3505d638907a848d5a6c739ee99981300f17 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
"""
Author: Fabio Hellmann <[email protected]>
"""
from attr import s, ib
from attr.validators import instance_of
@s(frozen=True)
class BLEDevice(object):
"""
Device MAC address (as a hex string separated by colons).
"""
addr = ib(validator=instance_of(str), type=str)
"... | 27.961538 | 114 | 0.68088 | 566 | 0.778542 | 0 | 0 | 582 | 0.80055 | 0 | 0 | 447 | 0.614856 |
09f949d20672656308f4b25b2fb52c7d29555163 | 1,511 | py | Python | Algorithms_medium/1102. Path With Maximum Minimum Value.py | VinceW0/Leetcode_Python_solutions | 09e9720afce21632372431606ebec4129eb79734 | [
"Xnet",
"X11"
] | 4 | 2020-08-11T20:45:15.000Z | 2021-03-12T00:33:34.000Z | Algorithms_medium/1102. Path With Maximum Minimum Value.py | VinceW0/Leetcode_Python_solutions | 09e9720afce21632372431606ebec4129eb79734 | [
"Xnet",
"X11"
] | null | null | null | Algorithms_medium/1102. Path With Maximum Minimum Value.py | VinceW0/Leetcode_Python_solutions | 09e9720afce21632372431606ebec4129eb79734 | [
"Xnet",
"X11"
] | null | null | null | """
1102. Path With Maximum Minimum Value
Medium
Given a matrix of integers A with R rows and C columns, find the maximum score of a path starting at [0,0] and ending at [R-1,C-1].
The score of a path is the minimum value in that path. For example, the value of the path 8 → 4 → 5 → 9 is 4.
A path moves some numb... | 26.982143 | 154 | 0.536069 | 706 | 0.465392 | 0 | 0 | 0 | 0 | 0 | 0 | 844 | 0.556361 |
09f9da8e8fb3a2cb6c40b0627a6fdbf5844460e0 | 1,436 | py | Python | tests/extractor/test_factory.py | albertteoh/data_pipeline | a99f1c7412375b3e9f4115108fcdde517b2e71a6 | [
"Apache-2.0"
] | null | null | null | tests/extractor/test_factory.py | albertteoh/data_pipeline | a99f1c7412375b3e9f4115108fcdde517b2e71a6 | [
"Apache-2.0"
] | null | null | null | tests/extractor/test_factory.py | albertteoh/data_pipeline | a99f1c7412375b3e9f4115108fcdde517b2e71a6 | [
"Apache-2.0"
] | null | null | null | import pytest
import data_pipeline.db.factory as db_factory
import data_pipeline.extractor.factory as extractor_factory
import tests.unittest_utils as utils
import data_pipeline.constants.const as const
from pytest_mock import mocker
from data_pipeline.db.exceptions import UnsupportedDbTypeError
@pytest.fixture()
def... | 34.190476 | 79 | 0.766017 | 0 | 0 | 448 | 0.311978 | 883 | 0.614903 | 0 | 0 | 162 | 0.112813 |
09fa1379267ff36d7eaf0c8f04ba9a7c23bd124b | 3,424 | py | Python | suremco/tracker.py | modsim/SurEmCo | 71fc0cfc62f8733de93ee2736421574a154e3db3 | [
"BSD-2-Clause"
] | null | null | null | suremco/tracker.py | modsim/SurEmCo | 71fc0cfc62f8733de93ee2736421574a154e3db3 | [
"BSD-2-Clause"
] | null | null | null | suremco/tracker.py | modsim/SurEmCo | 71fc0cfc62f8733de93ee2736421574a154e3db3 | [
"BSD-2-Clause"
] | null | null | null | # SurEmCo - C++ tracker wrapper
import ctypes
from enum import IntEnum
import sys
import os
import numpy
import numpy.ctypeslib
class Tracker(object):
class Mode(IntEnum):
MOVING = 0
STATIC = 1
class Strategy(IntEnum):
BRUTE_FORCE = 0
KD_TREE = 1
track_input_type = {'dty... | 29.517241 | 101 | 0.580023 | 3,292 | 0.961449 | 0 | 0 | 114 | 0.033294 | 0 | 0 | 489 | 0.142815 |
09fa8917e01388a6694109a784fa133ce2d71a48 | 774 | py | Python | lianxi/abc.py | xuguoqiang1/qiang | a95f105897462a630d8312eabea6a0f905c3e3e1 | [
"MIT"
] | null | null | null | lianxi/abc.py | xuguoqiang1/qiang | a95f105897462a630d8312eabea6a0f905c3e3e1 | [
"MIT"
] | null | null | null | lianxi/abc.py | xuguoqiang1/qiang | a95f105897462a630d8312eabea6a0f905c3e3e1 | [
"MIT"
] | null | null | null | # coding=utf-8
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
from config import Config
app = Flask(__name__)
app.config.from_object(Config)
db = SQLAlchemy(app)
class Role(db.Model):
# 定义表名
__tablename__ = 'roles'
# 定义列对象
id = db.Column(db.Integer, primary_key=True)
name = db.C... | 24.967742 | 62 | 0.682171 | 544 | 0.686869 | 0 | 0 | 0 | 0 | 0 | 0 | 91 | 0.114899 |
09fb1d9a7c357f2bc49fb2f43274b073bfff333e | 4,026 | py | Python | foreign_languages/anderson.py | ds-modules/NESTUD-190A | 54ca1cd9a8f369f48946147f72377f874738f7d5 | [
"MIT"
] | 6 | 2017-11-06T03:18:12.000Z | 2019-10-02T19:41:06.000Z | foreign_languages/anderson.py | admndrsn/NESTUD-190A | 54ca1cd9a8f369f48946147f72377f874738f7d5 | [
"MIT"
] | null | null | null | foreign_languages/anderson.py | admndrsn/NESTUD-190A | 54ca1cd9a8f369f48946147f72377f874738f7d5 | [
"MIT"
] | 2 | 2018-02-09T01:04:58.000Z | 2019-06-19T17:45:34.000Z | from IPython.core.display import display, HTML
import translation
class translate(object):
id_start = 0
def __init__(self, column_types, language_to='en'):
self.num_of_columns = len(column_types) + 1
column_types.insert(0, 'original text')
self.column_types = column_types
self.language_to = language_to... | 31.209302 | 132 | 0.721063 | 3,955 | 0.982365 | 993 | 0.246647 | 0 | 0 | 0 | 0 | 1,506 | 0.374069 |
61cb92b7eff849f550f556cfcf71f302f039dac7 | 1,315 | py | Python | landdox/core.py | natefduncan/landdox | 58908554034577cc20c6f89ee6056da90cbfbd4e | [
"MIT"
] | 1 | 2019-12-13T16:19:56.000Z | 2019-12-13T16:19:56.000Z | landdox/core.py | natefduncan/landdox | 58908554034577cc20c6f89ee6056da90cbfbd4e | [
"MIT"
] | null | null | null | landdox/core.py | natefduncan/landdox | 58908554034577cc20c6f89ee6056da90cbfbd4e | [
"MIT"
] | null | null | null | import requests
import json
import pandas as pd
import os
from .endpoints import *
class Client:
endpoints = {
"contacts" : contacts,
"leases" : leases,
"units" : units,
"wells" : wells,
"custom" : custom,
"tracts" : tracts,
"payments" : payments
}
... | 26.3 | 62 | 0.580989 | 1,216 | 0.924715 | 0 | 0 | 0 | 0 | 0 | 0 | 229 | 0.174144 |
61cd1b7623e09e8563a60f3d87a7caf270f2faa2 | 589 | py | Python | src/signalplotter/qt/makePyUI.py | jowanpittevils/Databasemanager_Signalplotter | 993152ad15793054df2acf386eb1c9a76610b789 | [
"BSD-3-Clause"
] | null | null | null | src/signalplotter/qt/makePyUI.py | jowanpittevils/Databasemanager_Signalplotter | 993152ad15793054df2acf386eb1c9a76610b789 | [
"BSD-3-Clause"
] | null | null | null | src/signalplotter/qt/makePyUI.py | jowanpittevils/Databasemanager_Signalplotter | 993152ad15793054df2acf386eb1c9a76610b789 | [
"BSD-3-Clause"
] | null | null | null | #%%
def makeUI(uiNames):
import sys, os
print('Check the pwd first, It must be at .../SignalPlotter/qt.')
print(os.getcwd())
p0 = os.path.dirname(sys.executable)
for uiName in (uiNames):
print('===== for: ',uiName,' ======')
p1 = '"'+p0+'\Scripts\pyuic5.exe'+'" '
p1 += ' -x... | 21.035714 | 69 | 0.50764 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 188 | 0.319185 |
61cd45cf1541403e9fd5c523d38b1e30cb5cbcc0 | 1,640 | py | Python | scraper.py | mikeku1116/python-accupass-scraper | ad3301fde373ce68e55459ba5af0273599d25e37 | [
"MIT"
] | null | null | null | scraper.py | mikeku1116/python-accupass-scraper | ad3301fde373ce68e55459ba5af0273599d25e37 | [
"MIT"
] | null | null | null | scraper.py | mikeku1116/python-accupass-scraper | ad3301fde373ce68e55459ba5af0273599d25e37 | [
"MIT"
] | null | null | null | from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
from bs4 import BeautifulSoup
import pandas as pd
# 安裝Chrome驅動程式及建立Chrome物件
browser = webdriver.Chrome(ChromeDriverManager().install())
browser.get(
"https://old.accupass.com/search/r/0/0/0/0/4/0/00010101/99991231?q=python")
... | 30.943396 | 111 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 880 | 0.469083 |
61cea84c27bf7df9b0289ed47ffee2781ddbdc17 | 3,148 | py | Python | mpcontribs-users/mpcontribs/users/swf/pre_submission.py | josuav1/MPContribs | 3cbf0e83ba6cd749dd4fc988c9f6ad076b05f935 | [
"MIT"
] | 1 | 2019-07-03T04:38:58.000Z | 2019-07-03T04:38:58.000Z | mpcontribs-users/mpcontribs/users/swf/pre_submission.py | josuav1/MPContribs | 3cbf0e83ba6cd749dd4fc988c9f6ad076b05f935 | [
"MIT"
] | null | null | null | mpcontribs-users/mpcontribs/users/swf/pre_submission.py | josuav1/MPContribs | 3cbf0e83ba6cd749dd4fc988c9f6ad076b05f935 | [
"MIT"
] | 1 | 2019-07-03T04:39:04.000Z | 2019-07-03T04:39:04.000Z | from mpcontribs.config import mp_level01_titles
from mpcontribs.io.core.recdict import RecursiveDict
from mpcontribs.io.core.utils import clean_value, get_composition_from_string
from mpcontribs.users.utils import duplicate_check
def round_to_100_percent(number_set, digit_after_decimal=1):
unround_numbers = [
... | 43.123288 | 91 | 0.656607 | 0 | 0 | 0 | 0 | 2,228 | 0.707751 | 0 | 0 | 417 | 0.132465 |
61cec369b3732fca5135012a654d9aa0eab32326 | 7,944 | py | Python | MTVulnerability/utils/losses_pytorch.py | yamizi/taskaugment | 8393e15d7ae16f267592edf1d67e20368aeeb1b5 | [
"MIT"
] | null | null | null | MTVulnerability/utils/losses_pytorch.py | yamizi/taskaugment | 8393e15d7ae16f267592edf1d67e20368aeeb1b5 | [
"MIT"
] | null | null | null | MTVulnerability/utils/losses_pytorch.py | yamizi/taskaugment | 8393e15d7ae16f267592edf1d67e20368aeeb1b5 | [
"MIT"
] | null | null | null | import sys, os
sys.path.append("./midlevel-reps")
from visualpriors.taskonomy_network import TaskonomyDecoder
import torch
import torch.nn.functional as F
import torch.nn as nn
SMOOTH = 1e-6
CHANNELS_TO_TASKS = {
1: ['colorization', 'edge_texture', 'edge_occlusion', 'keypoints3d', 'keypoints2d', 'reshading', 'd... | 45.136364 | 276 | 0.656596 | 2,886 | 0.363293 | 0 | 0 | 0 | 0 | 0 | 0 | 2,002 | 0.252014 |
61cf7342efb940a3f5d7c9b44e90c3d3f4d12610 | 21,205 | py | Python | src/trails/flow_model.py | BenDickens/trails | a89a1a901c7be38cdcb7a59339587e518ab8f14d | [
"MIT"
] | 4 | 2020-09-14T07:20:19.000Z | 2021-04-22T14:23:04.000Z | src/trails/flow_model.py | BenDickens/trails | a89a1a901c7be38cdcb7a59339587e518ab8f14d | [
"MIT"
] | 5 | 2021-03-17T17:02:27.000Z | 2021-08-31T10:09:38.000Z | src/trails/flow_model.py | BenDickens/trails | a89a1a901c7be38cdcb7a59339587e518ab8f14d | [
"MIT"
] | 3 | 2020-09-07T07:35:28.000Z | 2021-04-22T14:23:39.000Z | import os,sys
import numpy as np
import pandas as pd
import geopandas as gpd
import matplotlib.pyplot as plt
import pygeos
from osgeo import gdal
from tqdm import tqdm
import igraph as ig
import contextily as ctx
from rasterstats import zonal_stats
import time
import pylab as pl
from IPython import display
import seabo... | 35.400668 | 145 | 0.636831 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7,174 | 0.337934 |
61cffba0eebf31780c12f21faf032f94e065f6a5 | 1,238 | py | Python | offsite/core/utils.py | wh1te909/backup-offsite | 694f773583eb825b44ff20c51598ac9e1106cd32 | [
"MIT"
] | 4 | 2021-01-20T15:45:35.000Z | 2021-07-09T02:15:31.000Z | offsite/core/utils.py | wh1te909/backup-offsite | 694f773583eb825b44ff20c51598ac9e1106cd32 | [
"MIT"
] | 6 | 2020-08-02T23:31:07.000Z | 2021-09-22T19:19:50.000Z | offsite/core/utils.py | wh1te909/backup-offsite | 694f773583eb825b44ff20c51598ac9e1106cd32 | [
"MIT"
] | null | null | null | from channels.auth import AuthMiddlewareStack
from knox.auth import TokenAuthentication
from django.contrib.auth.models import AnonymousUser
from channels.db import database_sync_to_async
@database_sync_to_async
def get_user(access_token):
try:
auth = TokenAuthentication()
token = access_token.de... | 25.265306 | 86 | 0.697092 | 643 | 0.519386 | 0 | 0 | 309 | 0.249596 | 210 | 0.169628 | 97 | 0.078352 |
61d14e7bc92cdd86e7f3f92f3039ee396ac2a457 | 6,841 | py | Python | unik/indexing.py | balbasty/unik | 7b8b2a0989495eec7bc0db6c672ce904cbcb1063 | [
"MIT"
] | null | null | null | unik/indexing.py | balbasty/unik | 7b8b2a0989495eec7bc0db6c672ce904cbcb1063 | [
"MIT"
] | null | null | null | unik/indexing.py | balbasty/unik | 7b8b2a0989495eec7bc0db6c672ce904cbcb1063 | [
"MIT"
] | null | null | null | """Access / change tensor shape."""
import tensorflow as tf
import numpy as np
from .magik import tensor_compat
from .alloc import zeros_like
from .types import has_tensor, as_tensor, cast, dtype
from .shapes import shape, reshape, flatten, transpose, unstack
from ._math_for_indexing import cumprod, minimum, maximum
f... | 35.262887 | 77 | 0.582517 | 0 | 0 | 0 | 0 | 6,483 | 0.947668 | 0 | 0 | 2,382 | 0.348195 |
61d192d69ecdae0462072ff12464ac90f01f69d0 | 1,478 | py | Python | aleph/views/alerts_api.py | adikadashrieq/aleph | acc03197c10e511a279ae3a05120187223f173d2 | [
"MIT"
] | 1 | 2019-06-18T21:35:59.000Z | 2019-06-18T21:35:59.000Z | aleph/views/alerts_api.py | heartofstone/aleph | d66b6615d2bfa10c291c63754f53b468de8bebde | [
"MIT"
] | null | null | null | aleph/views/alerts_api.py | heartofstone/aleph | d66b6615d2bfa10c291c63754f53b468de8bebde | [
"MIT"
] | null | null | null | from flask import Blueprint, request
from aleph.core import db
from aleph.model import Alert
from aleph.search import DatabaseQueryResult
from aleph.views.forms import AlertSchema
from aleph.views.serializers import AlertSerializer
from aleph.views.util import require, obj_or_404
from aleph.views.util import parse_req... | 31.446809 | 71 | 0.750338 | 0 | 0 | 0 | 0 | 1,050 | 0.710419 | 0 | 0 | 133 | 0.089986 |
61d210a06894e407303586520efa2e44fe445461 | 11,283 | py | Python | run.py | Acforest/LogPrompt | 199766cea9988bc6e8b1c71352b090da68bbb71d | [
"Apache-2.0"
] | null | null | null | run.py | Acforest/LogPrompt | 199766cea9988bc6e8b1c71352b090da68bbb71d | [
"Apache-2.0"
] | null | null | null | run.py | Acforest/LogPrompt | 199766cea9988bc6e8b1c71352b090da68bbb71d | [
"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... | 58.46114 | 119 | 0.660197 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,524 | 0.400957 |
61d24122d7792980c0b72c95b9dc3ec6c9efd631 | 2,282 | py | Python | data/external/repositories_2to3/253384/national_data_science_bowl_2-master/alexcode/code/model.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | null | null | null | data/external/repositories_2to3/253384/national_data_science_bowl_2-master/alexcode/code/model.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | null | null | null | data/external/repositories_2to3/253384/national_data_science_bowl_2-master/alexcode/code/model.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | 1 | 2019-12-04T08:23:33.000Z | 2019-12-04T08:23:33.000Z |
from keras.models import Sequential
from keras.layers.convolutional import Convolution2D, MaxPooling2D, ZeroPadding2D
from keras.layers.core import Activation, Dense, Flatten, Dropout
from keras.optimizers import Adam
from keras.regularizers import l2
from keras import backend as K
def center_normalize(x)... | 34.575758 | 82 | 0.659509 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 212 | 0.092901 |
61d29e48cb817ece86e476bffbf91b00d5532c33 | 8,685 | py | Python | BuildDeb.py | KOLANICH/GraalVM_deb_packages_CI | f41786b4daa11efebe24402f5000111137365b4f | [
"Apache-2.0",
"Unlicense"
] | null | null | null | BuildDeb.py | KOLANICH/GraalVM_deb_packages_CI | f41786b4daa11efebe24402f5000111137365b4f | [
"Apache-2.0",
"Unlicense"
] | null | null | null | BuildDeb.py | KOLANICH/GraalVM_deb_packages_CI | f41786b4daa11efebe24402f5000111137365b4f | [
"Apache-2.0",
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
import sys
import struct
import re
import os
from itertools import chain
import warnings
import tarfile
import sh
from tqdm import tqdm
from pydebhelper import *
from getLatestVersionAndURLWithGitHubAPI import getTargets
def genGraalProvides(start=6, end=8): # java 12 still not supported ye... | 32.773585 | 691 | 0.687737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3,383 | 0.389522 |
61d2ae9ec01343c7273afc66fcb5912f5895801a | 6,267 | py | Python | mergify_engine/utils.py | Madhu-1/mergify-engine | 9ca4f4697cc825230b1584f5587f10393cabc971 | [
"Apache-2.0"
] | null | null | null | mergify_engine/utils.py | Madhu-1/mergify-engine | 9ca4f4697cc825230b1584f5587f10393cabc971 | [
"Apache-2.0"
] | null | null | null | mergify_engine/utils.py | Madhu-1/mergify-engine | 9ca4f4697cc825230b1584f5587f10393cabc971 | [
"Apache-2.0"
] | null | null | null | # -*- encoding: utf-8 -*-
#
# Copyright © 2017 Red Hat, 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 applica... | 27.977679 | 88 | 0.6322 | 1,671 | 0.266507 | 161 | 0.025678 | 188 | 0.029984 | 0 | 0 | 1,643 | 0.262041 |
61d440e6d71c032e6b0102e0319c9ad174f35ff4 | 1,750 | py | Python | milefrienddb/models/vehicles.py | jcrjaci/mil_test | ed54f55c5aacd8ffd110b7c173422dbd0cac631f | [
"MIT"
] | null | null | null | milefrienddb/models/vehicles.py | jcrjaci/mil_test | ed54f55c5aacd8ffd110b7c173422dbd0cac631f | [
"MIT"
] | null | null | null | milefrienddb/models/vehicles.py | jcrjaci/mil_test | ed54f55c5aacd8ffd110b7c173422dbd0cac631f | [
"MIT"
] | null | null | null | """Vehicle's app models."""
import uuid
from django.db import models
from .clients import Client
class Vehicle(models.Model):
"""Model representing a vehicle."""
road_worthiness_path = 'vehicles/certs/road_worthiness'
ownership_path = 'vehicles/certs/ownership'
photo_path = 'vehicles/photos'
id... | 38.043478 | 87 | 0.737714 | 1,649 | 0.942286 | 0 | 0 | 0 | 0 | 0 | 0 | 226 | 0.129143 |
61d6182a3cde9be8c7c4791931417d4e0d9e7b55 | 187 | py | Python | ejercicio_4.py | Laurardila440/taller-de-secuencias | 9db216d2431661e0777273fc5b8360a316d7dbd2 | [
"Apache-2.0"
] | null | null | null | ejercicio_4.py | Laurardila440/taller-de-secuencias | 9db216d2431661e0777273fc5b8360a316d7dbd2 | [
"Apache-2.0"
] | null | null | null | ejercicio_4.py | Laurardila440/taller-de-secuencias | 9db216d2431661e0777273fc5b8360a316d7dbd2 | [
"Apache-2.0"
] | null | null | null | """
Entradas
compra-->int-->c
salidas
Descuento-->flot-->d
"""
c=float(input("digite compra"))
#caja negra
d=(c*0.15)
total=(c-d)
#Salidas
print("el total a pagar es de :"+str(total))
| 14.384615 | 44 | 0.641711 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 125 | 0.668449 |
61d6aa3833e84422d5bd54157900ea1d35ffca0b | 878 | py | Python | 429.py | geethakamath18/Leetcode | 8e55e0a47ee35ed100b30dda6682c7ce1033d4b2 | [
"MIT"
] | null | null | null | 429.py | geethakamath18/Leetcode | 8e55e0a47ee35ed100b30dda6682c7ce1033d4b2 | [
"MIT"
] | null | null | null | 429.py | geethakamath18/Leetcode | 8e55e0a47ee35ed100b30dda6682c7ce1033d4b2 | [
"MIT"
] | null | null | null | #LeetCode problem 429: N-ary Tree Level Order Traversal
"""
# Definition for a Node.
class Node:
def __init__(self, val=None, children=None):
self.val = val
self.children = children
"""
class Solution:
def levelOrder(self, root: 'Node') -> List[List[int]]:
res=[]
h=self.getHeig... | 26.606061 | 61 | 0.544419 | 669 | 0.761959 | 0 | 0 | 0 | 0 | 0 | 0 | 223 | 0.253986 |
61d7cc4850de782acf97ce8fd6bae60d5d5eb06f | 544 | py | Python | PyhonServer/app-client.py | sixfourtwo/auhack19 | 65b94c6cbdbfbd50e355c12b8ca2792b3b086321 | [
"Apache-2.0"
] | null | null | null | PyhonServer/app-client.py | sixfourtwo/auhack19 | 65b94c6cbdbfbd50e355c12b8ca2792b3b086321 | [
"Apache-2.0"
] | null | null | null | PyhonServer/app-client.py | sixfourtwo/auhack19 | 65b94c6cbdbfbd50e355c12b8ca2792b3b086321 | [
"Apache-2.0"
] | null | null | null | # importing the requests library
import requests
import json
# api-endpoint
URL = "http://127.0.0.1:80/water_mark"
# defining a params dict for the parameters to be sent to the API
# data is picture data
# tagString is the text to embed into picture.
data = {
"data":"This is the original text",
"tagStri... | 22.666667 | 66 | 0.6875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 347 | 0.636697 |
61d90f523acdcf1af2ba8df7242ffe2e2fdeac93 | 9,827 | py | Python | memnet.py | 404akhan/memnet | a8cf9e0a480575d9d36de6fa3357f667d64e0b05 | [
"BSD-3-Clause"
] | 1 | 2018-02-01T05:17:13.000Z | 2018-02-01T05:17:13.000Z | memnet.py | 404akhan/memnet | a8cf9e0a480575d9d36de6fa3357f667d64e0b05 | [
"BSD-3-Clause"
] | null | null | null | memnet.py | 404akhan/memnet | a8cf9e0a480575d9d36de6fa3357f667d64e0b05 | [
"BSD-3-Clause"
] | null | null | null | import torch
import torch.nn.functional as F
import torch.nn.init as init
from torch import nn, autograd
from torch.utils.data import DataLoader
from babi import BabiDataset, pad_collate
from torch.nn.utils import clip_grad_norm
torch.backends.cudnn.benchmark = True
torch.backends.cudnn.fastest = True
class MemoryC... | 37.083019 | 110 | 0.623792 | 4,568 | 0.464842 | 0 | 0 | 0 | 0 | 0 | 0 | 661 | 0.067264 |
61d93349709f00bb603d8566d8afdb83080026fb | 3,444 | py | Python | tests/test_tba.py | StanfordAHA/Lake | 34df001db107e1a0824b7fdb05b9f2145bf49a3e | [
"BSD-3-Clause"
] | 11 | 2019-10-14T02:05:38.000Z | 2022-03-10T14:10:22.000Z | tests/test_tba.py | StanfordAHA/Lake | 34df001db107e1a0824b7fdb05b9f2145bf49a3e | [
"BSD-3-Clause"
] | 29 | 2019-09-02T05:49:40.000Z | 2022-02-26T00:57:54.000Z | tests/test_tba.py | StanfordAHA/Lake | 34df001db107e1a0824b7fdb05b9f2145bf49a3e | [
"BSD-3-Clause"
] | 1 | 2021-04-16T20:26:13.000Z | 2021-04-16T20:26:13.000Z | from lake.models.tba_model import TBAModel
from lake.modules.transpose_buffer_aggregation import TransposeBufferAggregation
from lake.passes.passes import lift_config_reg
import magma as m
from magma import *
import fault
import tempfile
import kratos as k
import random as rand
import pytest
def test_tba(word_width=1... | 29.947826 | 94 | 0.594948 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 174 | 0.050523 |
61da398102287561106f2583dbf3dd6a0d400ea3 | 1,442 | py | Python | 2018/02/py/run.py | Bigsby/aoc | 409fefbb0467628fa298288064acb622bb53ee58 | [
"CC0-1.0"
] | 1 | 2021-06-11T17:24:05.000Z | 2021-06-11T17:24:05.000Z | 2018/02/py/run.py | Bigsby/aoc | 409fefbb0467628fa298288064acb622bb53ee58 | [
"CC0-1.0"
] | null | null | null | 2018/02/py/run.py | Bigsby/aoc | 409fefbb0467628fa298288064acb622bb53ee58 | [
"CC0-1.0"
] | null | null | null | #! /usr/bin/python3
import sys, os, time
from typing import List, Tuple
from itertools import combinations
def part1(ids: List[str]) -> int:
twice_count = 0
thrice_count = 0
for id in ids:
id_counts = { id.count(c) for c in id }
twice_count += 2 in id_counts
thrice_count += 3 in i... | 25.75 | 72 | 0.615811 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 140 | 0.097087 |
61da655b21d56bf52e1b1c392472699b90dc9b53 | 275 | py | Python | text_directions.py | ErnestoPena/Game-Of-Life.-Python | 046bca4ae1c69e08efed4f45057b097653410ec8 | [
"MIT"
] | null | null | null | text_directions.py | ErnestoPena/Game-Of-Life.-Python | 046bca4ae1c69e08efed4f45057b097653410ec8 | [
"MIT"
] | null | null | null | text_directions.py | ErnestoPena/Game-Of-Life.-Python | 046bca4ae1c69e08efed4f45057b097653410ec8 | [
"MIT"
] | null | null | null | import pygame
def print(text, window):
font = pygame.font.SysFont('Times New Roman', 18)
header_text = font.render(text,1,(255,255,0))
window.blit(header_text, (1000 + (200/2 - header_text.get_width()/2), 680 + (header_text.get_height()/2))) | 45.833333 | 122 | 0.632727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 0.061818 |
61db9a4dde565ed6cc9ccd45b6a858a56b15b618 | 515 | py | Python | brummi/config.py | fredreichbier/brummi | d833e6dc0b74c8bddea225c785b3cba463b13ecd | [
"MIT"
] | 1 | 2015-11-05T04:35:07.000Z | 2015-11-05T04:35:07.000Z | brummi/config.py | fredreichbier/brummi | d833e6dc0b74c8bddea225c785b3cba463b13ecd | [
"MIT"
] | null | null | null | brummi/config.py | fredreichbier/brummi | d833e6dc0b74c8bddea225c785b3cba463b13ecd | [
"MIT"
] | null | null | null | import pkg_resources
from . import BrummiRepository
DEFAULTS = {
'templates': pkg_resources.resource_filename('brummi', 'templates'),
'out_path': 'docs',
}
class Config(object):
def __init__(self, options):
self.options = DEFAULTS.copy()
self.options.update(options)
def launch(self):... | 23.409091 | 72 | 0.615534 | 347 | 0.673786 | 0 | 0 | 0 | 0 | 0 | 0 | 77 | 0.149515 |
61de22931c74120ebd50c4d032782c041e459df7 | 730 | py | Python | kittiground/__init__.py | JeremyBYU/polylidar-kitti | bfad0dc4a74e136d2841dccf3ccc05d982f18a8e | [
"MIT"
] | null | null | null | kittiground/__init__.py | JeremyBYU/polylidar-kitti | bfad0dc4a74e136d2841dccf3ccc05d982f18a8e | [
"MIT"
] | null | null | null | kittiground/__init__.py | JeremyBYU/polylidar-kitti | bfad0dc4a74e136d2841dccf3ccc05d982f18a8e | [
"MIT"
] | null | null | null | from pathlib import Path
import numpy as np
THIS_FILE = Path(__file__)
THIS_DIR = THIS_FILE.parent
DEFAULT_CONFIG_FILE = THIS_DIR / 'config' / 'default.yaml'
# Width/height of the visual screens
IMG_WIDTH = 1242
IMG_HEIGHT = 375
# INTRINISCS = np.array([[649.51905284, 0.00000000, 620.50000000],
# ... | 38.421053 | 75 | 0.610959 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 253 | 0.346575 |
61df694948c2ba5c7d34c79e97268eab5f090a30 | 3,272 | py | Python | palette/core/color_transfer.py | SuziKim/PaletteSelection | cfc0052996b5c8dc1da2d6e30798dd1fed138ebe | [
"MIT"
] | 23 | 2015-08-25T12:31:44.000Z | 2021-12-15T03:18:12.000Z | palette/core/color_transfer.py | SuziKim/PaletteSelection | cfc0052996b5c8dc1da2d6e30798dd1fed138ebe | [
"MIT"
] | null | null | null | palette/core/color_transfer.py | SuziKim/PaletteSelection | cfc0052996b5c8dc1da2d6e30798dd1fed138ebe | [
"MIT"
] | 7 | 2017-07-27T10:57:36.000Z | 2022-02-22T06:51:44.000Z | # -*- coding: utf-8 -*-
## @package palette.core.color_transfer
#
# Color transfer.
# @author tody
# @date 2015/09/16
import numpy as np
from scipy.interpolate import Rbf
import matplotlib.pyplot as plt
from palette.core.lab_slices import LabSlice, LabSlicePlot, Lab2rgb_py
## Color transfer for ab co... | 37.181818 | 93 | 0.652812 | 2,903 | 0.887225 | 0 | 0 | 0 | 0 | 0 | 0 | 610 | 0.18643 |
61dfafddb5a99f013e5962a29c6779ac49a5f150 | 1,447 | py | Python | CursoEmVideoPython/desafio95.py | miguelabreuss/scripts_python | cf33934731a9d1b731672d4309aaea0a24ae151a | [
"MIT"
] | null | null | null | CursoEmVideoPython/desafio95.py | miguelabreuss/scripts_python | cf33934731a9d1b731672d4309aaea0a24ae151a | [
"MIT"
] | 1 | 2020-07-04T16:27:25.000Z | 2020-07-04T16:27:25.000Z | CursoEmVideoPython/desafio95.py | miguelabreuss/scripts_python | cf33934731a9d1b731672d4309aaea0a24ae151a | [
"MIT"
] | null | null | null | scoult = dict()
gols = list()
time = list()
temp = 0
while True:
scoult['Jogador'] = str(input('Qual o nome do jogador: '))
scoult['Número partidas'] = int(input('Quantas partidas foram jogadas? '))
for i in range(0,scoult['Número partidas']):
gols.append(int(input(f'Quantos gols foram marcados na p... | 38.078947 | 109 | 0.561852 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 685 | 0.471763 |
61dfc58457362e0a41be0f73d8c2ed155141035c | 428 | py | Python | Section07_Bridge/script-Bridge.py | enriqueescobar-askida/Kinito.Python | e4c5521e771c4de0ceaf81776a4a61f7de01edb4 | [
"MIT"
] | 1 | 2020-10-20T07:41:51.000Z | 2020-10-20T07:41:51.000Z | Section07_Bridge/script-Bridge.py | enriqueescobar-askida/Kinito.Python | e4c5521e771c4de0ceaf81776a4a61f7de01edb4 | [
"MIT"
] | null | null | null | Section07_Bridge/script-Bridge.py | enriqueescobar-askida/Kinito.Python | e4c5521e771c4de0ceaf81776a4a61f7de01edb4 | [
"MIT"
] | null | null | null | # Circles and squares
# Each can be rendered in vector or raster form
from Section07_Bridge.Brigde.Circle import Circle
from Section07_Bridge.Brigde.RasterRenderer import RasterRenderer
from Section07_Bridge.Brigde.VectorRenderer import VectorRenderer
if __name__ == '__main__':
raster = RasterRenderer()
vector... | 30.571429 | 65 | 0.766355 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 78 | 0.182243 |
61e1ff665914cfb40790ee569edb6f9cb201dad5 | 3,668 | py | Python | Algorithms/On-Policy/A2C/DISCOVER_A2C.py | baturaysaglam/DISCOVER | 423158c84a5935ca5755ccad06ea5fe20fb57d76 | [
"MIT"
] | null | null | null | Algorithms/On-Policy/A2C/DISCOVER_A2C.py | baturaysaglam/DISCOVER | 423158c84a5935ca5755ccad06ea5fe20fb57d76 | [
"MIT"
] | null | null | null | Algorithms/On-Policy/A2C/DISCOVER_A2C.py | baturaysaglam/DISCOVER | 423158c84a5935ca5755ccad06ea5fe20fb57d76 | [
"MIT"
] | null | null | null | import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from utils import init
class Explorer(nn.Module):
def __init__(self, state_dim, max_action, exp_regularization):
super(Explorer, self).__init__()
init_ = lambda m: init(m, nn.init.orthogonal_, lambda x: nn.init.con... | 37.050505 | 104 | 0.638768 | 3,555 | 0.969193 | 0 | 0 | 0 | 0 | 0 | 0 | 27 | 0.007361 |
61e3abea3e991562a75549fe727c93817d1999de | 3,400 | py | Python | user/beaninfo_Global.py | dvdrm/gd | c004724344577bb608fa0611d10c16b211995f72 | [
"Apache-2.0"
] | null | null | null | user/beaninfo_Global.py | dvdrm/gd | c004724344577bb608fa0611d10c16b211995f72 | [
"Apache-2.0"
] | null | null | null | user/beaninfo_Global.py | dvdrm/gd | c004724344577bb608fa0611d10c16b211995f72 | [
"Apache-2.0"
] | null | null | null | from telethon import events, Button
from .login import user
from .. import jdbot
from ..bot.utils import cmd, TASK_CMD,split_list, press_event
from ..diy.utils import read, write
import asyncio
import re
@user.on(events.NewMessage(pattern=r'^setbd', outgoing=True))
async def SetBeanDetailInfo(event):
try:
... | 33.009709 | 134 | 0.516471 | 0 | 0 | 0 | 0 | 3,418 | 0.939269 | 3,297 | 0.906018 | 842 | 0.231382 |
61e4ce6929b3cf5b02ae69957ea9065425f62a24 | 2,409 | py | Python | samples/boxcheck.py | cg2v/box_requests | 024141a263c8918962957b75d208c532c7b853f0 | [
"Apache-2.0"
] | null | null | null | samples/boxcheck.py | cg2v/box_requests | 024141a263c8918962957b75d208c532c7b853f0 | [
"Apache-2.0"
] | null | null | null | samples/boxcheck.py | cg2v/box_requests | 024141a263c8918962957b75d208c532c7b853f0 | [
"Apache-2.0"
] | 1 | 2018-10-23T15:48:00.000Z | 2018-10-23T15:48:00.000Z | #!/usr/bin/python
import box_requests
import requests
import os
import sys
import time
import socket
import optparse
import logging
def checktime(path, days):
try:
r=os.stat(path)
except OSError:
return False
return (time.time() - r.st_mtime) < (days * 86400)
def logfailure(msg):
print >> sy... | 33.929577 | 120 | 0.688252 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 916 | 0.380241 |
61e6e408c9d358e1ba90de75b214eb2a33ce5303 | 2,663 | py | Python | sourcecode/src/vx/lha/Main.py | ivarvb/LHA | b3b7613180d533468edf762195922b73c70c525c | [
"MIT"
] | null | null | null | sourcecode/src/vx/lha/Main.py | ivarvb/LHA | b3b7613180d533468edf762195922b73c70c525c | [
"MIT"
] | null | null | null | sourcecode/src/vx/lha/Main.py | ivarvb/LHA | b3b7613180d533468edf762195922b73c70c525c | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Author: Ivar
"""
from Description import *
from Classification import *
if __name__ == "__main__":
inputdir = "../../../../data/LHA/dataset_1"
outputdir = inputdir+"/csv/exp/"+Util.now()
template = [
{
"name":"RAD",
... | 23.156522 | 56 | 0.437852 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,179 | 0.442734 |
61e6fadc19dca2b7aaa1c0e67b41806d94ed6219 | 12,263 | py | Python | pyemits/core/ml/regression/trainer.py | thompson0012/PyEmits | 9cb6fbf27ca7e8952ed5aca26118055e04492c23 | [
"Apache-2.0"
] | 6 | 2021-10-21T14:13:25.000Z | 2021-12-26T12:22:51.000Z | pyemits/core/ml/regression/trainer.py | thompson0012/PyEmits | 9cb6fbf27ca7e8952ed5aca26118055e04492c23 | [
"Apache-2.0"
] | null | null | null | pyemits/core/ml/regression/trainer.py | thompson0012/PyEmits | 9cb6fbf27ca7e8952ed5aca26118055e04492c23 | [
"Apache-2.0"
] | null | null | null | from sklearn.ensemble import RandomForestRegressor, GradientBoostingRegressor, AdaBoostRegressor
from sklearn.neural_network import MLPRegressor
from sklearn.linear_model import ElasticNet, Ridge, Lasso, BayesianRidge, HuberRegressor
from xgboost import XGBRegressor
from lightgbm import LGBMRegressor
from pyemits.core.... | 40.471947 | 125 | 0.644133 | 8,085 | 0.6593 | 0 | 0 | 0 | 0 | 0 | 0 | 2,669 | 0.217647 |
61e7231e5da397e138846e32322894665e310b28 | 7,092 | py | Python | network_core/network_graph.py | markusgl/SocialCompanion | e816af21c600b33dbcac25d088d4d75957d0349a | [
"MIT"
] | 2 | 2018-12-21T12:55:21.000Z | 2019-05-29T06:35:58.000Z | network_core/network_graph.py | markusgl/SocialCompanion | e816af21c600b33dbcac25d088d4d75957d0349a | [
"MIT"
] | 8 | 2019-12-16T21:08:36.000Z | 2021-03-31T18:58:35.000Z | network_core/network_graph.py | markusgl/SocialCompanion | e816af21c600b33dbcac25d088d4d75957d0349a | [
"MIT"
] | null | null | null | """
knowledge graph representation using neo4j
this class uses py2neo with will be the final version
"""
import os
import json
from py2neo import Graph, Relationship, NodeMatcher, Node
from network_core.ogm.node_objects import Me, Contact, Misc
USERTYPE = "User"
CONTACTTYPE = "Contact"
ROOT_DIR = os.path.dirname(os.p... | 30.437768 | 129 | 0.563593 | 6,402 | 0.902707 | 0 | 0 | 0 | 0 | 0 | 0 | 2,155 | 0.303864 |
61e83a0c30e6a67dbfeb574d16e0f027af82160b | 538 | py | Python | randutils/lists.py | JoelLefkowitz/randutils | 91bfb6a56676675edb241f11b602a46880520c72 | [
"MIT"
] | 1 | 2021-08-03T17:34:31.000Z | 2021-08-03T17:34:31.000Z | randutils/lists.py | JoelLefkowitz/randutils | 91bfb6a56676675edb241f11b602a46880520c72 | [
"MIT"
] | null | null | null | randutils/lists.py | JoelLefkowitz/randutils | 91bfb6a56676675edb241f11b602a46880520c72 | [
"MIT"
] | null | null | null | import numpy as np
from .chance import by_chance
from .exceptions import EmptyListError
def pop_random_entry(lst):
if not lst:
raise EmptyListError
index = np.random.randint(0, len(lst))
return lst.pop(index)
def pick_random_entry(lst):
if not lst:
raise EmptyListError
index =... | 18.551724 | 53 | 0.689591 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
61ea28b84ee81d7761635919c06d71cde4b781c4 | 2,355 | py | Python | src/train_and_evaluate.py | rajeevteejwal/mlops_wine_quality | 970ce27712932ca535309230da69fc5c29d82c38 | [
"MIT"
] | null | null | null | src/train_and_evaluate.py | rajeevteejwal/mlops_wine_quality | 970ce27712932ca535309230da69fc5c29d82c38 | [
"MIT"
] | null | null | null | src/train_and_evaluate.py | rajeevteejwal/mlops_wine_quality | 970ce27712932ca535309230da69fc5c29d82c38 | [
"MIT"
] | null | null | null | import os
import pandas as pd
from sklearn.linear_model import ElasticNet
from sklearn.metrics import r2_score, mean_squared_error, mean_absolute_error
import argparse
import numpy as np
import json
import joblib
from get_data import read_config
def evaluate_metrics(actual, pred):
r2 = r2_score(actual,pred)
ma... | 31.824324 | 77 | 0.675159 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 421 | 0.178769 |
61ebdb6920b4b4c3e3a8b0b2f9c1a74ed61083fb | 961 | py | Python | examples/plot_magnitudes.py | zsiciarz/pygcvs | ed5522ab9cf9237592a6af7a0bc8cad079afeb67 | [
"MIT"
] | null | null | null | examples/plot_magnitudes.py | zsiciarz/pygcvs | ed5522ab9cf9237592a6af7a0bc8cad079afeb67 | [
"MIT"
] | null | null | null | examples/plot_magnitudes.py | zsiciarz/pygcvs | ed5522ab9cf9237592a6af7a0bc8cad079afeb67 | [
"MIT"
] | null | null | null | """
Visualisation of maximum/minimum magnitude for GCVS stars.
"""
import sys
import matplotlib.pyplot as plot
from pygcvs import read_gcvs
if __name__ == '__main__':
try:
gcvs_file = sys.argv[1]
except IndexError:
print('Usage: python plot_magnitudes.py <path to iii.dat>')
else:
... | 30.03125 | 73 | 0.64204 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 334 | 0.347555 |
61ebe9703928c7c7be701af932bf4a612970dd3f | 382 | py | Python | InvenTree/stock/migrations/0028_auto_20200421_0724.py | ArakniD/InvenTree | 0ebf2ebd832b2d736e895abe054ca56bfd1cc477 | [
"MIT"
] | 656 | 2017-03-29T22:06:14.000Z | 2022-03-30T11:23:52.000Z | InvenTree/stock/migrations/0028_auto_20200421_0724.py | ArakniD/InvenTree | 0ebf2ebd832b2d736e895abe054ca56bfd1cc477 | [
"MIT"
] | 1,545 | 2017-04-10T23:26:04.000Z | 2022-03-31T18:32:10.000Z | InvenTree/stock/migrations/0028_auto_20200421_0724.py | fablabbcn/InvenTree | 1d7ea7716cc96c6ffd151c822b01cd1fb5dcfecd | [
"MIT"
] | 196 | 2017-03-28T03:06:21.000Z | 2022-03-28T11:53:29.000Z | # Generated by Django 3.0.5 on 2020-04-21 07:24
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('stock', '0027_stockitem_sales_order'),
]
operations = [
migrations.RenameField(
model_name='stockitem',
old_name='sales_orde... | 20.105263 | 48 | 0.604712 | 297 | 0.777487 | 0 | 0 | 0 | 0 | 0 | 0 | 124 | 0.324607 |
61ec2ee4a4b5c284984cd0be3baf3b3ee50702c4 | 1,595 | py | Python | weideshop/urls.py | michaelgichia/weideshop | 01a408b358b9ad7d52747b42c36dc16206b4b915 | [
"BSD-2-Clause"
] | null | null | null | weideshop/urls.py | michaelgichia/weideshop | 01a408b358b9ad7d52747b42c36dc16206b4b915 | [
"BSD-2-Clause"
] | null | null | null | weideshop/urls.py | michaelgichia/weideshop | 01a408b358b9ad7d52747b42c36dc16206b4b915 | [
"BSD-2-Clause"
] | null | null | null | """weideshop URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.9/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Class-b... | 37.093023 | 106 | 0.717241 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 854 | 0.535423 |
61ed3298ce258d1708cb601b97ca2bb3d32448c9 | 18,023 | py | Python | netor/tinydb/scripts/netorconf.py | aegiacometti/neto | 4169a93a4d789facfe9a41d214b1a6c15e8f2fb9 | [
"Apache-2.0"
] | 1 | 2020-01-02T04:31:11.000Z | 2020-01-02T04:31:11.000Z | netor/tinydb/scripts/netorconf.py | aegiacometti/neto | 4169a93a4d789facfe9a41d214b1a6c15e8f2fb9 | [
"Apache-2.0"
] | null | null | null | netor/tinydb/scripts/netorconf.py | aegiacometti/neto | 4169a93a4d789facfe9a41d214b1a6c15e8f2fb9 | [
"Apache-2.0"
] | 1 | 2021-02-23T04:34:48.000Z | 2021-02-23T04:34:48.000Z | #!/usr/bin/env python3
import os
import sys
import configparser
import fileinput
import netorlogging
import datetime
from shutil import copyfile
def _netor_config():
"""
It is used for updating the Neto home directory in the configuration files and scripts.
This is useful, if you want to have 2 working ... | 42.011655 | 119 | 0.668146 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9,813 | 0.544471 |
61edb2c25c99c318b707a55fcdfcaaf007b47999 | 4,780 | py | Python | test/api/mutations/test_check_repository_by_commit.py | uliana291/the-zoo | a15a4162c39553abe91224f4feff5d3b66f9413e | [
"MIT"
] | null | null | null | test/api/mutations/test_check_repository_by_commit.py | uliana291/the-zoo | a15a4162c39553abe91224f4feff5d3b66f9413e | [
"MIT"
] | null | null | null | test/api/mutations/test_check_repository_by_commit.py | uliana291/the-zoo | a15a4162c39553abe91224f4feff5d3b66f9413e | [
"MIT"
] | null | null | null | import pytest
from zoo.auditing.models import Issue
from zoo.auditing.check_discovery import Effort, Kind, Severity
pytestmark = pytest.mark.django_db
@pytest.fixture
def scenario(mocker, repository_factory, issue_factory, check_factory, fake_path):
owner, name, sha = "games", "lemmings", "GINLNNIIJL"
repo... | 34.142857 | 88 | 0.604393 | 0 | 0 | 3,022 | 0.632218 | 3,038 | 0.635565 | 0 | 0 | 1,515 | 0.316946 |
61ee17d15d59c91dd4a80c2ec70be31d3dc1095f | 134 | py | Python | start/hello_world.py | nguyenductamlhp/tensorflow_demo | 7c4b55dff80dd435806a1b22dee6eb32ae39c02d | [
"MIT"
] | null | null | null | start/hello_world.py | nguyenductamlhp/tensorflow_demo | 7c4b55dff80dd435806a1b22dee6eb32ae39c02d | [
"MIT"
] | null | null | null | start/hello_world.py | nguyenductamlhp/tensorflow_demo | 7c4b55dff80dd435806a1b22dee6eb32ae39c02d | [
"MIT"
] | 1 | 2018-11-05T06:40:09.000Z | 2018-11-05T06:40:09.000Z | # -*- coding: utf-8 -*-
import tensorflow as tf
hello = tf.constant('Hello, TensorFlow!')
sess = tf.Session()
print(sess.run(hello))
| 19.142857 | 41 | 0.671642 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 43 | 0.320896 |
61f0c4fd22f5b70221a5b58b1db5553ecb4e26b8 | 755 | py | Python | behavioral/command/logic/generators/trader_generator.py | Kozak24/Patterns | 351d5c11f7c64ce5d58db37b6715fc8f7d31945a | [
"MIT"
] | null | null | null | behavioral/command/logic/generators/trader_generator.py | Kozak24/Patterns | 351d5c11f7c64ce5d58db37b6715fc8f7d31945a | [
"MIT"
] | null | null | null | behavioral/command/logic/generators/trader_generator.py | Kozak24/Patterns | 351d5c11f7c64ce5d58db37b6715fc8f7d31945a | [
"MIT"
] | null | null | null | from random import randint
from typing import Optional
from behavioral.command.data import Trader
from behavioral.command.logic.generators import ItemsGenerator
class TraderGenerator:
__MIN_GOLD = 0
__MAX_GOLD = 450
def __init__(self) -> None:
self._items_generator = ItemsGenerator()
def _g... | 30.2 | 98 | 0.717881 | 590 | 0.781457 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
61f42117264c7b5f1ae0b590ff1b7ddfa85808ba | 11,119 | py | Python | test3.py | dg1223/GestureRecognition | 07078b0b8340c8b94f42414efe0ed36158e8c0ea | [
"MIT"
] | 2 | 2019-02-12T17:59:41.000Z | 2019-10-27T03:36:08.000Z | test3.py | dg1223/GestureRecognition | 07078b0b8340c8b94f42414efe0ed36158e8c0ea | [
"MIT"
] | null | null | null | test3.py | dg1223/GestureRecognition | 07078b0b8340c8b94f42414efe0ed36158e8c0ea | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Aug 29 00:07:11 2015
@author: Shamir
"""
def CalculateValidData():
# Calculate the number of missing values in the array
number_of_nan = len(readFile.values[m][pandas.isnull(readFile.values[m])])
length_of_array = len(readF... | 63.176136 | 229 | 0.461462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,907 | 0.171508 |
61f65e88bb74b76264401d01893c2004742b5044 | 1,919 | py | Python | build.py | micklenguyen/hw2-scripting | 3603a2c4d7518890eacc4f071f347f90dd295ee6 | [
"MIT"
] | null | null | null | build.py | micklenguyen/hw2-scripting | 3603a2c4d7518890eacc4f071f347f90dd295ee6 | [
"MIT"
] | null | null | null | build.py | micklenguyen/hw2-scripting | 3603a2c4d7518890eacc4f071f347f90dd295ee6 | [
"MIT"
] | null | null | null | def main():
content_pages = auto_populate_content_files()
for page in content_pages:
filepath = page['filepath']
output = page['output']
title = page['title']
# Read content of html pages
content = open(filepath).read()
# Invoke function to return finished_page (base.html with filled in content)
fi... | 24.922078 | 97 | 0.730589 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 832 | 0.433559 |
61f94a0bece7deb448882a08f6a458e64ef93c8e | 35,113 | py | Python | src/jote/jote.py | InformaticsMatters/data-manager-job-tester | f8915e005f16685d159535a2455628eb1d7ac518 | [
"MIT"
] | null | null | null | src/jote/jote.py | InformaticsMatters/data-manager-job-tester | f8915e005f16685d159535a2455628eb1d7ac518 | [
"MIT"
] | 1 | 2022-01-28T10:06:28.000Z | 2022-01-31T14:51:52.000Z | src/jote/jote.py | InformaticsMatters/data-manager-job-tester | f8915e005f16685d159535a2455628eb1d7ac518 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Informatics Matters Job Tester (JOTE).
Get help running this utility with 'jote --help'
"""
import argparse
import os
import shutil
import stat
from stat import S_IRGRP, S_IRUSR, S_IWGRP, S_IWUSR
import subprocess
import sys
from typing import Any, Dict, List, Optional, Tuple
from munch impo... | 35.183367 | 100 | 0.584741 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12,868 | 0.366474 |
61f95f027b40f870a2f775166934b53fdd79358c | 18,636 | py | Python | src/cred_manage/bitwarden.py | areese801/cred_manage | 01f08ddc0b954c36e27ce1d6407f087c8aff0d4f | [
"MIT"
] | null | null | null | src/cred_manage/bitwarden.py | areese801/cred_manage | 01f08ddc0b954c36e27ce1d6407f087c8aff0d4f | [
"MIT"
] | null | null | null | src/cred_manage/bitwarden.py | areese801/cred_manage | 01f08ddc0b954c36e27ce1d6407f087c8aff0d4f | [
"MIT"
] | null | null | null | """
Subclass of the BaseCredContainer used for reading secrets from bitwarden password manager.
This class wraps the bitwarden CLI. See: https://bitwarden.com/help/article/cli/#using-an-api-key
Note that only the Enterprise version of bitwarden can (supported) hit the REST API.
In contrast, the API key that can be ... | 41.972973 | 247 | 0.6481 | 16,965 | 0.910335 | 0 | 0 | 0 | 0 | 0 | 0 | 10,728 | 0.57566 |
61f9d61ddf16dfe982de5cd443717f5e39b05a82 | 7,027 | py | Python | transforms/waveform.py | koukyo1994/kaggle-rfcx | c3573d014d99312b58882e7b939de6c1055129b1 | [
"MIT"
] | 6 | 2021-02-18T05:18:17.000Z | 2022-02-19T02:49:32.000Z | transforms/waveform.py | koukyo1994/kaggle-rfcx | c3573d014d99312b58882e7b939de6c1055129b1 | [
"MIT"
] | null | null | null | transforms/waveform.py | koukyo1994/kaggle-rfcx | c3573d014d99312b58882e7b939de6c1055129b1 | [
"MIT"
] | 2 | 2021-02-18T11:31:50.000Z | 2022-02-19T02:49:07.000Z | import colorednoise as cn
import librosa
import numpy as np
def get_waveform_transforms(config: dict, phase: str):
transforms = config.get("transforms")
if transforms is None:
return None
else:
if transforms[phase] is None:
return None
trns_list = []
for trns_co... | 31.231111 | 104 | 0.605237 | 6,239 | 0.887861 | 0 | 0 | 0 | 0 | 0 | 0 | 241 | 0.034296 |
61fa26c1e849bd6b6249a17cb7a588c5997af757 | 438 | py | Python | Back/generalchatroom/models.py | sadeghjafari5528/404- | 0499b93cc473ec4def96d95364180eb4f4dafb11 | [
"MIT"
] | null | null | null | Back/generalchatroom/models.py | sadeghjafari5528/404- | 0499b93cc473ec4def96d95364180eb4f4dafb11 | [
"MIT"
] | 1 | 2020-12-27T14:59:35.000Z | 2020-12-27T14:59:35.000Z | Back/generalchatroom/models.py | sadeghjafari5528/404- | 0499b93cc473ec4def96d95364180eb4f4dafb11 | [
"MIT"
] | 2 | 2020-10-30T08:08:32.000Z | 2020-10-30T20:47:51.000Z | from django.db import models
from registeration.models import User
from chatroom.models import Chatroom
class Message(models.Model):
chatroom = models.ForeignKey(Chatroom, on_delete=models.CASCADE)
user = models.ForeignKey(User, on_delete=models.SET_NULL, null=True)
text = models.TextField()
parentMes... | 36.5 | 83 | 0.773973 | 331 | 0.755708 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0.013699 |
61fa91668b7e930a4d4c6429b8910bfdb88b86e5 | 1,095 | py | Python | plyplus/test/test_trees.py | rubycandy/test-plyplus | ced9377e6c26dcf308dd9f480411af9c8dbe9c56 | [
"MIT"
] | 169 | 2015-01-16T12:48:23.000Z | 2021-12-09T16:00:13.000Z | plyplus/test/test_trees.py | rubycandy/test-plyplus | ced9377e6c26dcf308dd9f480411af9c8dbe9c56 | [
"MIT"
] | 26 | 2015-01-23T16:30:28.000Z | 2018-07-07T09:14:18.000Z | plyplus/test/test_trees.py | rubycandy/test-plyplus | ced9377e6c26dcf308dd9f480411af9c8dbe9c56 | [
"MIT"
] | 53 | 2015-01-22T20:20:10.000Z | 2021-12-05T13:39:57.000Z | from __future__ import absolute_import
import unittest
import logging
import copy
import pickle
from plyplus.plyplus import STree
logging.basicConfig(level=logging.INFO)
class TestSTrees(unittest.TestCase):
def setUp(self):
self.tree1 = STree('a', [STree(x, y) for x, y in zip('bcd', 'xyz')])
def te... | 24.886364 | 76 | 0.613699 | 872 | 0.796347 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 0.021005 |
61fae1b5b671ac52f912549b4f9c186cb38b0495 | 1,563 | py | Python | misaligned.py | clean-code-craft-tcq-2/test-failer-in-py-yashaswin-mayya | 1861f2db11a508e9c1e2f7ce351d11d87c0c734c | [
"MIT"
] | null | null | null | misaligned.py | clean-code-craft-tcq-2/test-failer-in-py-yashaswin-mayya | 1861f2db11a508e9c1e2f7ce351d11d87c0c734c | [
"MIT"
] | null | null | null | misaligned.py | clean-code-craft-tcq-2/test-failer-in-py-yashaswin-mayya | 1861f2db11a508e9c1e2f7ce351d11d87c0c734c | [
"MIT"
] | null | null | null |
MAJOR_COLORS = ["White", "Red", "Black", "Yellow", "Violet"]
MINOR_COLORS = ["Blue", "Orange", "Green", "Brown", "Slate"]
def get_color_from_pair_number(pair_number):
zero_based_pair_number = pair_number - 1
major_index = zero_based_pair_number // len(MINOR_COLORS)
minor_index = zero_based_pair_number % ... | 36.348837 | 129 | 0.685861 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 482 | 0.308381 |
61fe5553a131ad8494dec157c4505511e27beecb | 611 | py | Python | examples/embed_cmd.py | bentettmar/discord.py-self_embed | 4253ea7977b17972de2e15de3606a183f70b22b0 | [
"MIT"
] | 2 | 2022-03-31T04:06:05.000Z | 2022-03-31T16:39:40.000Z | examples/embed_cmd.py | bentettmar/discord.py-self_embed | 4253ea7977b17972de2e15de3606a183f70b22b0 | [
"MIT"
] | 3 | 2022-03-29T11:58:16.000Z | 2022-03-31T16:41:13.000Z | examples/embed_cmd.py | bentettmar/discord.py-self_embed | 4253ea7977b17972de2e15de3606a183f70b22b0 | [
"MIT"
] | null | null | null | import discord_self_embed
from discord.ext import commands
bot = commands.Bot(command_prefix=".", self_bot=True)
@bot.event
async def on_ready():
print("ready")
@bot.command(name="embed")
async def embed_cmd(ctx):
embed = discord_self_embed.Embed("discord.py-self_embed", description="A way for selfbots to se... | 33.944444 | 193 | 0.749591 | 0 | 0 | 0 | 0 | 470 | 0.769231 | 432 | 0.707038 | 249 | 0.407529 |
1101b9ca063e23e2fd57ae664425f377c0723f09 | 8,823 | py | Python | analysis.py | liunx/lmms | ea54f64934d90887a38446ef02ed2baed91548db | [
"MIT"
] | null | null | null | analysis.py | liunx/lmms | ea54f64934d90887a38446ef02ed2baed91548db | [
"MIT"
] | null | null | null | analysis.py | liunx/lmms | ea54f64934d90887a38446ef02ed2baed91548db | [
"MIT"
] | null | null | null | import re
import copy
from operator import itemgetter
import music21 as m21
class Core:
meter_len = 192
notes = {'C': 60, 'D': 62, 'E': 64, 'F': 65, 'G': 67, 'A': 69, 'B': 71}
percussion = {
35: 'AcousticBassDrum', 36: 'BassDrum1', 37: 'SideStick', 38: 'AcousticSnare',
39: 'HandClap', 40: ... | 33.804598 | 115 | 0.438286 | 7,809 | 0.885073 | 0 | 0 | 0 | 0 | 0 | 0 | 1,762 | 0.199705 |
11025303e524cbae387748d4c806d2a09276590a | 6,302 | py | Python | tests/server/utils.py | csadorf/aiida-optimade | 99ee1113cfc109a40a83bb43af8d07ce7e1601e6 | [
"MIT"
] | null | null | null | tests/server/utils.py | csadorf/aiida-optimade | 99ee1113cfc109a40a83bb43af8d07ce7e1601e6 | [
"MIT"
] | null | null | null | tests/server/utils.py | csadorf/aiida-optimade | 99ee1113cfc109a40a83bb43af8d07ce7e1601e6 | [
"MIT"
] | null | null | null | # pylint: disable=no-name-in-module,too-many-arguments
import json
import re
import typing
from urllib.parse import urlparse
import warnings
from requests import Response
from fastapi.testclient import TestClient
from pydantic import BaseModel
import pytest
from starlette import testclient
from optimade import __api... | 32.65285 | 86 | 0.60822 | 5,275 | 0.837036 | 416 | 0.066011 | 770 | 0.122183 | 0 | 0 | 1,478 | 0.234529 |
11026c0c5eee347310533201a00163d72346ee00 | 3,673 | py | Python | super_topic/main.py | susmote/WeiboTools | 659232b4525bcbedf350da1127d382ff6c6e9e71 | [
"MIT"
] | 3 | 2018-11-11T22:07:23.000Z | 2019-03-08T08:20:31.000Z | super_topic/main.py | susmote/WeiboTools | 659232b4525bcbedf350da1127d382ff6c6e9e71 | [
"MIT"
] | null | null | null | super_topic/main.py | susmote/WeiboTools | 659232b4525bcbedf350da1127d382ff6c6e9e71 | [
"MIT"
] | 1 | 2021-08-31T06:44:54.000Z | 2021-08-31T06:44:54.000Z | # -*- coding: utf-8 -*-
"""
Created on 2018/11/5
@author: susmote
"""
import time
import requests
import json
# 查看自己关注的超话
if __name__ == '__main__':
username = input("请输入用户名: ")
password = input("请输入密码: ")
login_url = "https://passport.weibo.cn/sso/login"
headers = {
"Referer": "https://... | 37.865979 | 118 | 0.58263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,307 | 0.340631 |
11028d4ec017320409e77b44e5459cd4e2c1cd81 | 1,163 | py | Python | websupportsk_ddns/notifiers.py | JozefGalbicka/websupportsk-ddns | 8fe1408121dc5f14f42e6603d9a50bcaa5afabee | [
"MIT"
] | 2 | 2021-07-28T09:09:58.000Z | 2021-07-28T10:28:45.000Z | websupportsk_ddns/notifiers.py | JozefGalbicka/websupportsk-ddns | 8fe1408121dc5f14f42e6603d9a50bcaa5afabee | [
"MIT"
] | 1 | 2021-11-14T11:31:38.000Z | 2021-11-19T22:38:44.000Z | websupportsk_ddns/notifiers.py | JozefGalbicka/websupportsk-ddns | 8fe1408121dc5f14f42e6603d9a50bcaa5afabee | [
"MIT"
] | null | null | null | import requests
import logging
logger = logging.getLogger(__name__)
def send_notifications(notifiers, message):
for notifier in notifiers:
notifier.send_notification(message)
class Pushover:
def __init__(self, api_token, user_key):
self.api_token = api_token
self.user_key = user_key... | 29.075 | 65 | 0.618229 | 968 | 0.83233 | 0 | 0 | 0 | 0 | 0 | 0 | 281 | 0.241617 |
110368e70ed99472870504d326991f7e709f610a | 311 | py | Python | apps/xero_workspace/job_urls.py | akshay-codemonk/fyle-xero | a040dab12282a9a64ca01aca2dc09f8bb7eaa0f6 | [
"MIT"
] | null | null | null | apps/xero_workspace/job_urls.py | akshay-codemonk/fyle-xero | a040dab12282a9a64ca01aca2dc09f8bb7eaa0f6 | [
"MIT"
] | null | null | null | apps/xero_workspace/job_urls.py | akshay-codemonk/fyle-xero | a040dab12282a9a64ca01aca2dc09f8bb7eaa0f6 | [
"MIT"
] | null | null | null | from django.urls import path, include
from apps.xero_workspace.views import ScheduleSyncView
urlpatterns = [
path('<int:workspace_id>/expense_group/', include('apps.fyle_expense.job_urls')),
path('<int:workspace_id>/settings/schedule/trigger/', ScheduleSyncView.as_view(), name="schedule_trigger"),
]
| 34.555556 | 111 | 0.768489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 128 | 0.411576 |
1106ac76603f4bd71050edfab94366e8d6245198 | 43,058 | py | Python | tests/test_decision_maker/test_base.py | cyenyxe/agents-aea | c2aec9127028ae13def3f69fbc80d35400de1565 | [
"Apache-2.0"
] | null | null | null | tests/test_decision_maker/test_base.py | cyenyxe/agents-aea | c2aec9127028ae13def3f69fbc80d35400de1565 | [
"Apache-2.0"
] | 1 | 2020-02-21T14:28:13.000Z | 2020-03-05T14:53:53.000Z | tests/test_decision_maker/test_base.py | cyenyxe/agents-aea | c2aec9127028ae13def3f69fbc80d35400de1565 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2019 Fetch.AI Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the ... | 41.925998 | 106 | 0.641042 | 41,270 | 0.958475 | 0 | 0 | 2,618 | 0.060802 | 0 | 0 | 7,826 | 0.181755 |
11070c63ba36e05b385352144090c398a2ed7415 | 15,806 | py | Python | code/plotting/plot_lsst.py | modichirag/21cm_cleaning | 1615fea4e2d617bb6ef00770a49698901227daa8 | [
"MIT"
] | 1 | 2019-08-27T10:05:41.000Z | 2019-08-27T10:05:41.000Z | code/plotting/plot_lsst.py | modichirag/21cm_cleaning | 1615fea4e2d617bb6ef00770a49698901227daa8 | [
"MIT"
] | null | null | null | code/plotting/plot_lsst.py | modichirag/21cm_cleaning | 1615fea4e2d617bb6ef00770a49698901227daa8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
# Plots the power spectra and Fourier-space biases for the HI.
#
import warnings
from mpi4py import MPI
rank = MPI.COMM_WORLD.rank
#warnings.filterwarnings("ignore")
if rank!=0: warnings.filterwarnings("ignore")
import numpy as np
import os, sys
import matplotlib.pyplot as plt
fro... | 41.704485 | 210 | 0.575161 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4,481 | 0.2835 |
1107964a13a8c587e9dedd0f0fb6a2581ecb0887 | 3,999 | py | Python | ndfinance/strategies/basic/__init__.py | gomtinQQ/NDFinance | 522bf0486e5f5337c522d0e34b088f386c7c3290 | [
"MIT"
] | 35 | 2020-09-26T16:31:45.000Z | 2022-01-01T12:12:21.000Z | ndfinance/strategies/basic/__init__.py | gomtinQQ/NDFinance | 522bf0486e5f5337c522d0e34b088f386c7c3290 | [
"MIT"
] | 1 | 2020-09-27T08:54:23.000Z | 2020-09-27T08:54:23.000Z | ndfinance/strategies/basic/__init__.py | gomtinQQ/NDFinance | 522bf0486e5f5337c522d0e34b088f386c7c3290 | [
"MIT"
] | 8 | 2020-10-06T23:51:22.000Z | 2022-02-16T12:11:10.000Z | from ndfinance.strategies import Strategy, PeriodicRebalancingStrategy
from ndfinance.brokers.base import order
from ndfinance.brokers.base.order import *
from ndfinance.strategies.utils import *
class SameWeightBuyHold(Strategy):
def __init__(self):
super(SameWeightBuyHold, self).__init__()
self.... | 44.932584 | 127 | 0.68017 | 3,794 | 0.948737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1107cf1f8235f1761f09ec217b10ad75f1307704 | 1,662 | py | Python | 06_Trees/shortest_unique_prefix.py | Sheetal0601/InterviewBit | 72ba1507278dafac6e5fb81da20d372e3d141348 | [
"MIT"
] | 61 | 2018-02-18T08:16:31.000Z | 2022-02-17T17:18:57.000Z | 06_Trees/shortest_unique_prefix.py | Sheetal0601/InterviewBit | 72ba1507278dafac6e5fb81da20d372e3d141348 | [
"MIT"
] | 1 | 2018-02-23T20:06:18.000Z | 2019-12-29T18:52:20.000Z | 06_Trees/shortest_unique_prefix.py | Sheetal0601/InterviewBit | 72ba1507278dafac6e5fb81da20d372e3d141348 | [
"MIT"
] | 30 | 2018-03-28T19:02:23.000Z | 2021-07-06T20:00:14.000Z | # Shortest Unique Prefix
# https://www.interviewbit.com/problems/shortest-unique-prefix/
#
# Find shortest unique prefix to represent each word in the list.
#
# Example:
#
# Input: [zebra, dog, duck, dove]
# Output: {z, dog, du, dov}
# where we can see that
# zebra = z
# dog = dog
# duck = du
# dove = dov
# NOTE : Ass... | 24.086957 | 106 | 0.496992 | 1,038 | 0.624549 | 0 | 0 | 0 | 0 | 0 | 0 | 653 | 0.3929 |
110af0aa9cc468fbee2f90b29540e3ee61251308 | 1,975 | py | Python | daemon.py | hletrd/TRIPOL_polarizer | 124d202bf876635bd402306fb5d7572fd45ce599 | [
"MIT"
] | null | null | null | daemon.py | hletrd/TRIPOL_polarizer | 124d202bf876635bd402306fb5d7572fd45ce599 | [
"MIT"
] | null | null | null | daemon.py | hletrd/TRIPOL_polarizer | 124d202bf876635bd402306fb5d7572fd45ce599 | [
"MIT"
] | null | null | null | from flask import Flask, render_template, send_from_directory
import serial
import serial.tools.list_ports
import threading
app = Flask(__name__)
def run_server():
app.run(host=bind_ip, debug=True, port=bind_port)
@app.route('/')
def index():
return render_template('_basic.html', ports=serialhandler.get_port_list(... | 23.511905 | 75 | 0.698228 | 975 | 0.493671 | 0 | 0 | 649 | 0.328608 | 0 | 0 | 213 | 0.107848 |
110bd5c7d26cb1039d7248113ac5574d56217da1 | 134 | py | Python | tests/agave_mock_server/wsgi.py | vdjserver/agave-cli | 4ad0826779cd760eb8a102978c456fee214ce8a3 | [
"BSD-3-Clause"
] | null | null | null | tests/agave_mock_server/wsgi.py | vdjserver/agave-cli | 4ad0826779cd760eb8a102978c456fee214ce8a3 | [
"BSD-3-Clause"
] | 1 | 2019-06-11T21:48:12.000Z | 2019-06-11T22:11:35.000Z | tests/agave_mock_server/wsgi.py | vdjserver/agave-cli | 4ad0826779cd760eb8a102978c456fee214ce8a3 | [
"BSD-3-Clause"
] | null | null | null | from agave_mock_server import app as application
if __name__ == "__main__":
application.run(host="0.0.0.0", ssl_context="adhoc")
| 26.8 | 56 | 0.738806 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 26 | 0.19403 |
110ec99e58e5ce9d328a5556af8ee117cc5ebd9a | 3,304 | py | Python | src/utils.py | senadkurtisi/neural-style-transfer | 0048d8b184959de095f0821f63205c8ce3ff2dff | [
"MIT"
] | null | null | null | src/utils.py | senadkurtisi/neural-style-transfer | 0048d8b184959de095f0821f63205c8ce3ff2dff | [
"MIT"
] | null | null | null | src/utils.py | senadkurtisi/neural-style-transfer | 0048d8b184959de095f0821f63205c8ce3ff2dff | [
"MIT"
] | null | null | null | from PIL import Image
import numpy as np
import torch
import torchvision.transforms.transforms as transforms
import os
from config import cfg
def preprocess_img(img_path):
""" Loads the desired image and prepares it
for VGG19 model.
Parameters:
img_path: path to the image
Returns:
... | 29.765766 | 106 | 0.553874 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,072 | 0.324455 |
1111178ffeca17f97dbc94edf513c3e6554c30c4 | 5,179 | py | Python | myfunc.py | dedo94/GUIGG | be4d6243ee9abcfaf42ab9aec6cd87f8e2149d4d | [
"MIT"
] | 1 | 2019-02-15T22:38:40.000Z | 2019-02-15T22:38:40.000Z | myfunc.py | dedo94/GUIGG | be4d6243ee9abcfaf42ab9aec6cd87f8e2149d4d | [
"MIT"
] | null | null | null | myfunc.py | dedo94/GUIGG | be4d6243ee9abcfaf42ab9aec6cd87f8e2149d4d | [
"MIT"
] | null | null | null | import os
import platform
import sys
from os.path import relpath
sys.path.append('/usr/local/bin/dot')
sys.path.append('/usr/bin/dot')
from graphviz import Digraph
# struttura dati
class node:
def __init__(self, id, istruction, *nxt_node):
self.id = id
self.ist = istruction
self.next_node... | 43.158333 | 181 | 0.448542 | 1,047 | 0.202163 | 0 | 0 | 0 | 0 | 0 | 0 | 1,105 | 0.213362 |
1111834ed10ea00b3973a4e7b45b84a2fd41c455 | 2,466 | py | Python | EllucianEthosPythonClient/ChangeNotificationUtils.py | rmetcalf9/EllucainEthosPythonClient | 6913322b1e583f655f67399f2baa763833583c27 | [
"MIT"
] | 1 | 2021-02-09T22:05:50.000Z | 2021-02-09T22:05:50.000Z | EllucianEthosPythonClient/ChangeNotificationUtils.py | rmetcalf9/EllucainEthosPythonClient | 6913322b1e583f655f67399f2baa763833583c27 | [
"MIT"
] | 1 | 2020-07-02T11:44:54.000Z | 2020-07-02T11:45:38.000Z | EllucianEthosPythonClient/ChangeNotificationUtils.py | rmetcalf9/EllucainEthosPythonClient | 6913322b1e583f655f67399f2baa763833583c27 | [
"MIT"
] | 1 | 2021-01-13T21:35:11.000Z | 2021-01-13T21:35:11.000Z | from .ChangeNotificationMessage import ChangeNotificationMessage
import json
def requestBatchOfPagesAndReturnRemainingCountLib(
pageLimit,
lastProcessedID,
clientAPIInstance,
loginSession,
processIndividualMessage
):
params = {
"limit": str(pageLimit)
}
if lastProcessedID is not None:
params["... | 27.098901 | 103 | 0.744931 | 1,547 | 0.627332 | 0 | 0 | 0 | 0 | 0 | 0 | 122 | 0.049473 |
1112b034f98c7dc617526ab156487a42f2db45b6 | 1,821 | py | Python | schafkopf/players/models/evaluate_calssifier.py | Taschee/schafkopf | 96c5b9199d9260b4fdd74de8a6e54805b407407b | [
"MIT"
] | 10 | 2018-07-30T14:02:25.000Z | 2022-01-19T23:48:31.000Z | schafkopf/players/models/evaluate_calssifier.py | TimiH/schafkopf-1 | deafaa28d6cba866d097b4347dd84ce37b3b594d | [
"MIT"
] | 1 | 2018-08-12T07:25:51.000Z | 2018-08-27T21:04:04.000Z | schafkopf/players/models/evaluate_calssifier.py | Taschee/schafkopf | 96c5b9199d9260b4fdd74de8a6e54805b407407b | [
"MIT"
] | 2 | 2019-01-23T10:02:57.000Z | 2019-08-26T22:05:52.000Z | import keras
import numpy as np
from schafkopf.players.data.load_data import load_data_bidding
from schafkopf.players.data.encodings import decode_on_hot_hand
import matplotlib.pyplot as plt
x_test, y_test = load_data_bidding('../data/test_data.p')
x_train, y_train = load_data_bidding('../data/train_data.p')
modelpat... | 29.852459 | 88 | 0.713344 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 374 | 0.205382 |
1112cf8fd2ea3b082bd270c70d54466062312420 | 8,338 | py | Python | personnages3d/filtre.py | mxbossard/personnages3d | 87c2ab8dc9b502c0074f1dec04b832803dee1462 | [
"Apache-2.0"
] | null | null | null | personnages3d/filtre.py | mxbossard/personnages3d | 87c2ab8dc9b502c0074f1dec04b832803dee1462 | [
"Apache-2.0"
] | null | null | null | personnages3d/filtre.py | mxbossard/personnages3d | 87c2ab8dc9b502c0074f1dec04b832803dee1462 | [
"Apache-2.0"
] | 1 | 2021-10-01T02:03:42.000Z | 2021-10-01T02:03:42.000Z |
"""Ce script est un exemple de matplotlib"""
import numpy as np
def moving_average(x, n, type='simple'):
"""
compute an n period moving average.
type is 'simple' | 'exponential'
"""
x = np.asarray(x)
if type == 'simple':
weights = np.ones(n)
else:
weights = np.exp(np.li... | 63.166667 | 83 | 0.333173 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 179 | 0.021468 |
11149a0fbf72edf9f65a573647189aedcbd0a01f | 309 | py | Python | tests/test_utils.py | wxy6655/pymycobot | 504716257af7b36c9750929ad3b0b7fe96582e14 | [
"MIT"
] | 37 | 2021-01-16T13:57:06.000Z | 2022-03-27T06:16:37.000Z | tests/test_utils.py | wxy6655/pymycobot | 504716257af7b36c9750929ad3b0b7fe96582e14 | [
"MIT"
] | 27 | 2021-01-18T08:09:08.000Z | 2022-03-08T01:25:33.000Z | tests/test_utils.py | wxy6655/pymycobot | 504716257af7b36c9750929ad3b0b7fe96582e14 | [
"MIT"
] | 19 | 2021-01-19T01:52:42.000Z | 2022-02-10T06:44:06.000Z | import os
import sys
# Add relevant ranger module to PATH... there surely is a better way to do this...
sys.path.insert(0, os.path.join(os.path.dirname(__file__), ".."))
from pymycobot import utils
port = utils.get_port_list()
print(port)
detect_result = utils.detect_port_of_basic()
print(detect_result)
| 22.071429 | 82 | 0.754045 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 86 | 0.278317 |
1117ea4f825935be2c13190135ae12facb794dea | 3,347 | py | Python | backend_api/vozila_specials/migrations/0001_initial.py | KoliosterNikolayIliev/vozila_backend | a1c5036a77cb78d7968bbcc6e66e9015c982be8b | [
"MIT"
] | null | null | null | backend_api/vozila_specials/migrations/0001_initial.py | KoliosterNikolayIliev/vozila_backend | a1c5036a77cb78d7968bbcc6e66e9015c982be8b | [
"MIT"
] | 4 | 2021-09-08T09:25:21.000Z | 2022-02-20T12:14:04.000Z | backend_api/vozila_specials/migrations/0001_initial.py | KoliosterNikolayIliev/vozila_backend | a1c5036a77cb78d7968bbcc6e66e9015c982be8b | [
"MIT"
] | null | null | null | # Generated by Django 3.2.5 on 2021-08-04 18:10
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | 54.868852 | 266 | 0.612788 | 3,188 | 0.952495 | 0 | 0 | 0 | 0 | 0 | 0 | 651 | 0.194503 |
11185bdb3235153c501d87ad0d59a5aa426df74b | 385 | py | Python | inhouse/users/migrations/0011_alter_user_username.py | samuelmmorse/In-House | 9a6e103c0d53598e0b9028754fbc1fdc830cf9bd | [
"Apache-2.0"
] | 1 | 2022-02-03T18:15:09.000Z | 2022-02-03T18:15:09.000Z | inhouse/users/migrations/0011_alter_user_username.py | samuelmmorse/In-House | 9a6e103c0d53598e0b9028754fbc1fdc830cf9bd | [
"Apache-2.0"
] | 37 | 2022-02-02T21:30:16.000Z | 2022-03-08T16:18:48.000Z | inhouse/users/migrations/0011_alter_user_username.py | samuelmmorse/In-House | 9a6e103c0d53598e0b9028754fbc1fdc830cf9bd | [
"Apache-2.0"
] | null | null | null | # Generated by Django 4.0.1 on 2022-02-21 03:56
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
("users", "0010_alter_user_picture"),
]
operations = [
migrations.AlterField(
model_name="user",
name="username",
... | 20.263158 | 51 | 0.597403 | 292 | 0.758442 | 0 | 0 | 0 | 0 | 0 | 0 | 95 | 0.246753 |
111a060dfd860a5ffaba0f5cb789e1d77010aef4 | 1,742 | py | Python | PyFlow/Packages/DepthAI_Device/Nodes/NeuralNetwork/NeuralNetworkNode.py | AsherVo/depthai-gui | f6d5da7c00f09239d07ff77dd2e4433d40e43633 | [
"Apache-2.0"
] | 46 | 2021-01-05T13:41:54.000Z | 2022-03-29T09:47:20.000Z | PyFlow/Packages/DepthAI_Device/Nodes/NeuralNetwork/NeuralNetworkNode.py | AsherVo/depthai-gui | f6d5da7c00f09239d07ff77dd2e4433d40e43633 | [
"Apache-2.0"
] | 7 | 2021-01-29T22:26:05.000Z | 2022-02-24T10:16:35.000Z | PyFlow/Packages/DepthAI_Device/Nodes/NeuralNetwork/NeuralNetworkNode.py | AsherVo/depthai-gui | f6d5da7c00f09239d07ff77dd2e4433d40e43633 | [
"Apache-2.0"
] | 10 | 2021-03-11T15:00:40.000Z | 2022-03-24T02:28:39.000Z | from pathlib import Path
from common import DeviceNode, get_property_value
from PyFlow.Core.Common import *
from PyFlow.Core.NodeBase import NodePinsSuggestionsHelper
class NeuralNetworkNode(DeviceNode):
def __init__(self, name):
super(NeuralNetworkNode, self).__init__(name)
self.input = self.cre... | 35.55102 | 85 | 0.695178 | 1,571 | 0.901837 | 0 | 0 | 541 | 0.310563 | 0 | 0 | 214 | 0.122847 |