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3523f7a4e21ce7b43e6d91a635c407f4186ed4cb | 4,766 | py | Python | anyway/widgets/suburban_widgets/accident_type_vehicle_type_road_comparison_widget.py | volsky/anyway | 5d5a2600723392f1a55116a3b5d5b1f28a3ed029 | [
"MIT"
] | 1 | 2022-01-19T18:23:03.000Z | 2022-01-19T18:23:03.000Z | anyway/widgets/suburban_widgets/accident_type_vehicle_type_road_comparison_widget.py | volsky/anyway | 5d5a2600723392f1a55116a3b5d5b1f28a3ed029 | [
"MIT"
] | null | null | null | anyway/widgets/suburban_widgets/accident_type_vehicle_type_road_comparison_widget.py | volsky/anyway | 5d5a2600723392f1a55116a3b5d5b1f28a3ed029 | [
"MIT"
] | null | null | null | import datetime
import logging
from typing import List, Dict
from flask_babel import _
from sqlalchemy import func, distinct, desc
from anyway.request_params import RequestParams
from anyway.app_and_db import db
from anyway.widgets.widget_utils import get_query, run_query
from anyway.models import VehicleMa... | 40.05042 | 119 | 0.638271 |
ec2309b1674981efc3ac923b77b4cee1c9c1927c | 34,578 | py | Python | brouillon.py | AlexandreFiche/machine_learning_for_autonomous_driving | e2749e7408cb4c26ed94a69b66c975e641c33838 | [
"MIT"
] | 1 | 2020-07-22T09:13:17.000Z | 2020-07-22T09:13:17.000Z | brouillon.py | AlexandreFiche/machine_learning_for_autonomous_driving | e2749e7408cb4c26ed94a69b66c975e641c33838 | [
"MIT"
] | null | null | null | brouillon.py | AlexandreFiche/machine_learning_for_autonomous_driving | e2749e7408cb4c26ed94a69b66c975e641c33838 | [
"MIT"
] | 1 | 2021-04-16T13:05:43.000Z | 2021-04-16T13:05:43.000Z | # Brouillon pour stocker des bouts de codes qui peuvent reservir
# 15/06
# 1
from nuscenes.utils.geometry_utils import view_points, box_in_image, BoxVisibility
anntoken = "bc3180b07f8e4a728f504ded654df56f"
ann_record = nusc.get('sample_annotation',anntoken)
sample_record = nusc.get('sample', ann_record['sample_toke... | 40.775943 | 246 | 0.613743 |
1103f18269dc6a0abe0f072fc23da990635fe60e | 191 | py | Python | tests/cpydiff/modules_array_subscrstep.py | learnforpractice/micropython-cpp | 004bc8382f74899e7b876cc29bfa6a9cc976ba10 | [
"MIT"
] | 692 | 2016-12-19T23:25:35.000Z | 2022-03-31T14:20:48.000Z | tests/cpydiff/modules_array_subscrstep.py | learnforpractice/micropython-cpp | 004bc8382f74899e7b876cc29bfa6a9cc976ba10 | [
"MIT"
] | 509 | 2017-03-28T19:37:18.000Z | 2022-03-31T20:31:43.000Z | tests/cpydiff/modules_array_subscrstep.py | learnforpractice/micropython-cpp | 004bc8382f74899e7b876cc29bfa6a9cc976ba10 | [
"MIT"
] | 228 | 2016-12-19T05:03:30.000Z | 2022-03-22T18:13:00.000Z | """
categories: Modules,array
description: Subscript with step != 1 is not yet implemented
cause: Unknown
workaround: Unknown
"""
import array
a = array.array('b', (1, 2, 3))
print(a[3:2:2])
| 19.1 | 60 | 0.701571 |
d3362f2e330b64a3e5c0f80a67a759ce4837fd86 | 1,365 | py | Python | save_images.py | clovadev/qualitative-evaluator | 83fc54bfa7b9599135235d9317741362cb937feb | [
"MIT"
] | 2 | 2021-02-22T10:55:29.000Z | 2021-02-22T10:55:30.000Z | save_images.py | clovadev/visual-comparator | 83fc54bfa7b9599135235d9317741362cb937feb | [
"MIT"
] | null | null | null | save_images.py | clovadev/visual-comparator | 83fc54bfa7b9599135235d9317741362cb937feb | [
"MIT"
] | null | null | null | import os
from PIL import Image
import tqdm
import utils
# 디렉토리 설정
config = utils.load_config()
os.makedirs(config['cluster_dir'], exist_ok=True)
# 이미지 경로 가져오기
paths_input_image = utils.get_image_path(config['root'], 'input_image')
paths_groundtruth = utils.get_image_path(config['root'], 'groundtruth')
paths_conventi... | 40.147059 | 105 | 0.752381 |
eec50962d6f1ebb12b0b06e319ec0de50df29635 | 2,635 | py | Python | budget-rnn/src/layers/output_layers.py | tejaskannan/ml-models | ad5acad2c0ce75773062ffcdff088a6fbe5ffc17 | [
"Apache-2.0"
] | 1 | 2021-06-28T15:40:41.000Z | 2021-06-28T15:40:41.000Z | budget-rnn/src/layers/output_layers.py | tejaskannan/ml-models | ad5acad2c0ce75773062ffcdff088a6fbe5ffc17 | [
"Apache-2.0"
] | 5 | 2021-03-04T19:42:15.000Z | 2022-02-10T05:46:15.000Z | budget-rnn/src/layers/output_layers.py | tejaskannan/budget-rnn | ad5acad2c0ce75773062ffcdff088a6fbe5ffc17 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
from collections import namedtuple
from enum import Enum, auto
from typing import List
from utils.constants import ONE_HALF, SMALL_NUMBER
# Tuples to store output types
ClassificationOutput = namedtuple('ClassificationOutput', ['logits', 'prediction_probs', 'predictions', 'accuracy'])
Regress... | 39.328358 | 119 | 0.679696 |
f4ed5456b32e588679506c33c399e106f7179181 | 5,647 | py | Python | model/quantized_cifar10_resnet.py | cornell-zhang/dnn-gating | 31666fadf35789b433c79eec8669a3a2df818bd4 | [
"BSD-3-Clause"
] | 58 | 2020-03-03T23:51:24.000Z | 2022-02-22T14:11:17.000Z | model/quantized_cifar10_resnet.py | cornell-zhang/dnn-gating | 31666fadf35789b433c79eec8669a3a2df818bd4 | [
"BSD-3-Clause"
] | 5 | 2020-10-29T12:59:31.000Z | 2022-03-26T03:56:50.000Z | model/quantized_cifar10_resnet.py | cornell-zhang/dnn-gating | 31666fadf35789b433c79eec8669a3a2df818bd4 | [
"BSD-3-Clause"
] | 11 | 2020-04-20T09:17:19.000Z | 2022-02-21T19:05:02.000Z | '''
Properly implemented ResNet-s for CIFAR10 as described in paper [1].
The implementation and structure of this file is hugely influenced by [2]
which is implemented for ImageNet and doesn't have option A for identity.
Moreover, most of the implementations on the web is copy-paste from
torchvision's resnet and has wr... | 35.074534 | 120 | 0.602267 |
df93ca6a6ab00cec6d9e2e02bb7354a52f11fb77 | 4,348 | py | Python | homeassistant/components/cloud/account_link.py | mikan-megane/core | 837220cce40890e296920d33a623adbc11bd15a6 | [
"Apache-2.0"
] | 11 | 2018-02-16T15:35:47.000Z | 2020-01-14T15:20:00.000Z | homeassistant/components/cloud/account_link.py | mikan-megane/core | 837220cce40890e296920d33a623adbc11bd15a6 | [
"Apache-2.0"
] | 79 | 2020-07-23T07:13:37.000Z | 2022-03-22T06:02:37.000Z | homeassistant/components/cloud/account_link.py | mikan-megane/core | 837220cce40890e296920d33a623adbc11bd15a6 | [
"Apache-2.0"
] | 6 | 2018-02-04T03:48:55.000Z | 2022-01-24T20:37:04.000Z | """Account linking via the cloud."""
import asyncio
import logging
from typing import Any
import aiohttp
from hass_nabucasa import account_link
from homeassistant.const import MAJOR_VERSION, MINOR_VERSION, PATCH_VERSION
from homeassistant.core import HomeAssistant, callback
from homeassistant.helpers import config_en... | 29.181208 | 87 | 0.665363 |
8d28816db7b20937f37f33a546fb79473a6d5c80 | 2,206 | py | Python | src/collectors/ping/ping.py | hermdog/Diamond | 0f3eb04327d6d3ed5e53a9967d6c9d2c09714a47 | [
"MIT"
] | 1,795 | 2015-01-05T11:14:55.000Z | 2022-03-25T12:07:15.000Z | src/collectors/ping/ping.py | hermdog/Diamond | 0f3eb04327d6d3ed5e53a9967d6c9d2c09714a47 | [
"MIT"
] | 671 | 2015-01-02T05:57:27.000Z | 2022-03-29T22:39:05.000Z | src/collectors/ping/ping.py | hermdog/Diamond | 0f3eb04327d6d3ed5e53a9967d6c9d2c09714a47 | [
"MIT"
] | 793 | 2015-01-03T01:39:02.000Z | 2022-02-18T05:12:27.000Z | # coding=utf-8
"""
Collect icmp round trip times
Only valid for ipv4 hosts currently
#### Dependencies
* ping
#### Configuration
Configuration is done by:
Create a file named: PingCollector.conf in the collectors_config_path
* enabled = true
* interval = 60
* target_1 = example.org
* target_fw = 192.168.0.1... | 26.902439 | 80 | 0.575703 |
bcaebe0db87db248a09700ffcb4ef23ad5effdfc | 2,108 | py | Python | tests/st/ops/ascend/vector/test_atan2_001.py | KnowingNothing/akg-test | 114d8626b824b9a31af50a482afc07ab7121862b | [
"Apache-2.0"
] | null | null | null | tests/st/ops/ascend/vector/test_atan2_001.py | KnowingNothing/akg-test | 114d8626b824b9a31af50a482afc07ab7121862b | [
"Apache-2.0"
] | null | null | null | tests/st/ops/ascend/vector/test_atan2_001.py | KnowingNothing/akg-test | 114d8626b824b9a31af50a482afc07ab7121862b | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Huawei Technologies Co., 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... | 36.344828 | 94 | 0.638994 |
12dba3d38b62aa957463988bff1d65d17068d6f7 | 19,177 | py | Python | tensorflow_probability/python/distributions/power_spherical.py | jakee417/probability-1 | ae7117f37ac441bc7a888167ea23e5e620c5bcde | [
"Apache-2.0"
] | 3,670 | 2018-02-14T03:29:40.000Z | 2022-03-30T01:19:52.000Z | tensorflow_probability/python/distributions/power_spherical.py | jakee417/probability-1 | ae7117f37ac441bc7a888167ea23e5e620c5bcde | [
"Apache-2.0"
] | 1,395 | 2018-02-24T02:28:49.000Z | 2022-03-31T16:12:06.000Z | tensorflow_probability/python/distributions/power_spherical.py | jakee417/probability-1 | ae7117f37ac441bc7a888167ea23e5e620c5bcde | [
"Apache-2.0"
] | 1,135 | 2018-02-14T01:51:10.000Z | 2022-03-28T02:24:11.000Z | # Copyright 2020 The TensorFlow Probability Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law o... | 40.802128 | 97 | 0.693852 |
947e14cc79896dc87bbcbaadccb9e1587c7da609 | 7,756 | py | Python | p65/Ophis/Opcodes.py | JixunMoe/ContraNES1TranslationPatch | 0cc514e8badd4ac872bff82d3f566fb97fe86685 | [
"BSD-3-Clause"
] | 1 | 2020-07-30T08:57:33.000Z | 2020-07-30T08:57:33.000Z | p65/Ophis/Opcodes.py | jixunmoe/ContraNES1TranslationPatch | 0cc514e8badd4ac872bff82d3f566fb97fe86685 | [
"BSD-3-Clause"
] | null | null | null | p65/Ophis/Opcodes.py | jixunmoe/ContraNES1TranslationPatch | 0cc514e8badd4ac872bff82d3f566fb97fe86685 | [
"BSD-3-Clause"
] | null | null | null | """6502 and 6510 opcodes
Tables for the assembly of 6502 and 6510 instructions, mapping
opcodes and addressing modes to binary instructions. Includes
the undocumented 6510 ops, as described in the VICE manuals."""
# Copyright 2002 Michael C. Martin.
# You may use, modify, and distribute this file under the BSD
# ... | 73.866667 | 93 | 0.552862 |
17f874878d7bd7d1e93989f60f26a27d6d25ed48 | 9,754 | py | Python | appengine/chromium_bugs/main.py | eunchong/infra | ce3728559112bfb3e8b32137eada517aec6d22f9 | [
"BSD-3-Clause"
] | null | null | null | appengine/chromium_bugs/main.py | eunchong/infra | ce3728559112bfb3e8b32137eada517aec6d22f9 | [
"BSD-3-Clause"
] | null | null | null | appengine/chromium_bugs/main.py | eunchong/infra | ce3728559112bfb3e8b32137eada517aec6d22f9 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2012 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 o... | 33.064407 | 79 | 0.644761 |
04abe2e4bb08fede9cd522c7eef469cd1914bbed | 1,423 | py | Python | geonode_mapstore_client/context_processors.py | majid-saeed/geonode-mapstore-client | 2580014a52e41089d29c2211ba89c50ed936598a | [
"BSD-2-Clause-FreeBSD"
] | 8 | 2020-12-07T13:55:49.000Z | 2022-01-27T15:53:58.000Z | geonode_mapstore_client/context_processors.py | majid-saeed/geonode-mapstore-client | 2580014a52e41089d29c2211ba89c50ed936598a | [
"BSD-2-Clause-FreeBSD"
] | 256 | 2019-07-18T12:17:04.000Z | 2022-03-31T07:52:44.000Z | geonode_mapstore_client/context_processors.py | majid-saeed/geonode-mapstore-client | 2580014a52e41089d29c2211ba89c50ed936598a | [
"BSD-2-Clause-FreeBSD"
] | 50 | 2019-08-23T09:17:18.000Z | 2022-03-31T12:19:37.000Z | # -*- coding: utf-8 -*-
#########################################################################
#
# Copyright 2018, GeoSolutions Sas.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
#
###########################... | 44.46875 | 101 | 0.62825 |
8394920fc14279951b1e0c131de0f172ad84b0bb | 1,778 | py | Python | tests/rules/test_git_two_dashes.py | samzhang111/oops | 5823623f94f7c4cdeccea4938c1a0efd4280184e | [
"MIT"
] | null | null | null | tests/rules/test_git_two_dashes.py | samzhang111/oops | 5823623f94f7c4cdeccea4938c1a0efd4280184e | [
"MIT"
] | null | null | null | tests/rules/test_git_two_dashes.py | samzhang111/oops | 5823623f94f7c4cdeccea4938c1a0efd4280184e | [
"MIT"
] | null | null | null | import pytest
from theoops.rules.git_two_dashes import match, get_new_command
from tests.utils import Command
@pytest.fixture
def stderr(meant):
return 'error: did you mean `%s` (with two dashes ?)' % meant
@pytest.mark.parametrize('command', [
Command(script='git add -patch', stderr=stderr('--patch')),
... | 37.041667 | 73 | 0.654106 |
cd6c8f59e710458a675f8d773da12d20a35c7723 | 1,233 | py | Python | cupy/cupy_raw_kernel_addition/cupy_raw_kernel_addition.py | gschramm/python_tutorials | 14369b15511fa1affdab78335d1c06c4ff2fb90b | [
"Apache-2.0"
] | null | null | null | cupy/cupy_raw_kernel_addition/cupy_raw_kernel_addition.py | gschramm/python_tutorials | 14369b15511fa1affdab78335d1c06c4ff2fb90b | [
"Apache-2.0"
] | null | null | null | cupy/cupy_raw_kernel_addition/cupy_raw_kernel_addition.py | gschramm/python_tutorials | 14369b15511fa1affdab78335d1c06c4ff2fb90b | [
"Apache-2.0"
] | null | null | null | # minimal example showing how to use raw (external) CUDA kernels with cupy
#
# Aim: unerstand how to load and execute a raw kernel based on addition of two arrays
import cupy as cp
import numpy as np
import math
from functools import reduce
# load a kernel defined in a external file
with open('add_kernel.cu','r') as ... | 28.674419 | 98 | 0.691809 |
17741225ab8534954046466cdd86cd72387b723c | 2,934 | py | Python | haystack/nodes/file_classifier/file_type.py | ArzelaAscoIi/haystack | be8f50c9e3de4e264b3f345f5f4b9c9ec518ed08 | [
"Apache-2.0"
] | 1 | 2022-03-06T02:13:15.000Z | 2022-03-06T02:13:15.000Z | haystack/nodes/file_classifier/file_type.py | ArzelaAscoIi/haystack | be8f50c9e3de4e264b3f345f5f4b9c9ec518ed08 | [
"Apache-2.0"
] | null | null | null | haystack/nodes/file_classifier/file_type.py | ArzelaAscoIi/haystack | be8f50c9e3de4e264b3f345f5f4b9c9ec518ed08 | [
"Apache-2.0"
] | 1 | 2022-03-23T18:17:02.000Z | 2022-03-23T18:17:02.000Z | from multiprocessing.sharedctypes import Value
from typing import List, Union
from pathlib import Path
from haystack.nodes.base import BaseComponent
DEFAULT_TYPES = ["txt", "pdf", "md", "docx", "html"]
class FileTypeClassifier(BaseComponent):
"""
Route files in an Indexing Pipeline to corresponding file con... | 38.605263 | 111 | 0.639059 |
15b50e7f45fe06d206065cb4ea2bf93a798c04f1 | 3,470 | py | Python | adafruit_circuitpython_libs/adafruit-circuitpython-bundle-py-20210214/lib/adafruit_seesaw/keypad.py | jacoblb64/pico_rgb_keypad_hid | 3251ca6a98ef86d9f98c54f639c4d61810601a0b | [
"MIT"
] | 47 | 2021-02-15T23:02:36.000Z | 2022-03-04T21:30:03.000Z | adafruit_circuitpython_libs/adafruit-circuitpython-bundle-py-20210214/lib/adafruit_seesaw/keypad.py | jacoblb64/pico_rgb_keypad_hid | 3251ca6a98ef86d9f98c54f639c4d61810601a0b | [
"MIT"
] | 7 | 2021-02-19T20:00:08.000Z | 2022-01-14T10:51:12.000Z | adafruit_circuitpython_libs/adafruit-circuitpython-bundle-py-20210214/lib/adafruit_seesaw/keypad.py | jacoblb64/pico_rgb_keypad_hid | 3251ca6a98ef86d9f98c54f639c4d61810601a0b | [
"MIT"
] | 14 | 2021-02-20T17:40:56.000Z | 2022-01-01T19:53:38.000Z | # SPDX-FileCopyrightText: 2018 Dean Miller for Adafruit Industries
#
# SPDX-License-Identifier: MIT
# pylint: disable=missing-docstring,invalid-name,too-many-public-methods
"""
`adafruit_seesaw.keypad`
====================================================
"""
try:
from micropython import const
except ImportError:... | 28.211382 | 84 | 0.655908 |
80f010c522276bac34639e47726d5a7ef923927f | 4,309 | py | Python | env/lib/python3.8/site-packages/hdfs/ext/kerberos.py | paulowe/apache-beam-redocumentation | d1b0f345d8e46f9893f56c2bb890edc07be09f2a | [
"MIT"
] | null | null | null | env/lib/python3.8/site-packages/hdfs/ext/kerberos.py | paulowe/apache-beam-redocumentation | d1b0f345d8e46f9893f56c2bb890edc07be09f2a | [
"MIT"
] | null | null | null | env/lib/python3.8/site-packages/hdfs/ext/kerberos.py | paulowe/apache-beam-redocumentation | d1b0f345d8e46f9893f56c2bb890edc07be09f2a | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
"""Support for clusters using Kerberos_ authentication.
This extension adds a new :class:`hdfs.client.Client` subclass,
:class:`KerberosClient`, which handles authentication appropriately with
Kerberized clusters:
.. code-block:: python
from hdfs.ext.kerberos import Kerbero... | 34.472 | 79 | 0.736134 |
513832377978a1091e3bdf1fbeb60c45fe940b88 | 2,130 | py | Python | emo_clf2.py | kayzhou/Guba_emotion | 286f1824500c77d8b90c3dc1bb0e120d732a546d | [
"MIT"
] | 6 | 2018-09-04T12:42:22.000Z | 2020-12-12T12:12:48.000Z | emo_clf2.py | kayzhou/Guba_emotion | 286f1824500c77d8b90c3dc1bb0e120d732a546d | [
"MIT"
] | 1 | 2018-11-14T04:03:44.000Z | 2018-11-14T12:01:53.000Z | emo_clf2.py | kayzhou/Guba_emotion | 286f1824500c77d8b90c3dc1bb0e120d732a546d | [
"MIT"
] | null | null | null | import json
import os
from collections import Counter
import numpy as np
from sklearn.ensemble import RandomForestClassifier
from sklearn.metrics import classification_report
from sklearn.model_selection import cross_val_score, train_test_split
from sklearn.naive_bayes import BernoulliNB
from sklearn.svm import SVC
fr... | 23.406593 | 93 | 0.622535 |
f8dbd050c9b9256b6b4cb4ee13887c28ab95d300 | 2,000 | py | Python | src/lcmap/client/scripts/cl_tool/model.py | lcmap/client-py | fc356d9b2917f8e2d0e73048c9bf86982caa6676 | [
"NASA-1.3"
] | null | null | null | src/lcmap/client/scripts/cl_tool/model.py | lcmap/client-py | fc356d9b2917f8e2d0e73048c9bf86982caa6676 | [
"NASA-1.3"
] | null | null | null | src/lcmap/client/scripts/cl_tool/model.py | lcmap/client-py | fc356d9b2917f8e2d0e73048c9bf86982caa6676 | [
"NASA-1.3"
] | null | null | null | import io
import logging
import subprocess
import sys
import click
from lcmap.client.scripts.cl_tool import query
from lcmap.client.scripts.cl_tool.command import lcmap
log = logging.getLogger(__name__)
@lcmap.group()
@click.pass_obj
def model(config):
"Execute science models in the LCMAP Science Execution En... | 29.411765 | 75 | 0.6575 |
6850bd215f27202b492ba5c6b7965d6debca8ee7 | 1,294 | py | Python | 30-substring-with-concatenation-of-all-words/s.py | typd/leetcode-solutions | 96a7824be1e3339f679d20abfb3cea3aaf08cd46 | [
"MIT"
] | null | null | null | 30-substring-with-concatenation-of-all-words/s.py | typd/leetcode-solutions | 96a7824be1e3339f679d20abfb3cea3aaf08cd46 | [
"MIT"
] | null | null | null | 30-substring-with-concatenation-of-all-words/s.py | typd/leetcode-solutions | 96a7824be1e3339f679d20abfb3cea3aaf08cd46 | [
"MIT"
] | null | null | null | class Solution(object):
def findSubstring(self,s,words):
r = []
wc = len(words)
if wc == 0:
return r
wl = len(words[0])
sl = len(s)
m = {}
for w in words:
if not w in m:
m[w] = 1
else:
m[w] = ... | 24.415094 | 53 | 0.413447 |
f8097cdd84bf3b05e5fb79e15cb75fa97cb4e77d | 4,793 | py | Python | mogua/wallet/wallet_user_store.py | vanthoi/mogua-blockchain | 1e46ee2ee4fc98b87aede276608b3bd95971f05a | [
"Apache-2.0"
] | 16 | 2021-08-01T14:29:14.000Z | 2022-02-09T04:32:05.000Z | mogua/wallet/wallet_user_store.py | vanthoi/mogua-blockchain | 1e46ee2ee4fc98b87aede276608b3bd95971f05a | [
"Apache-2.0"
] | 18 | 2021-08-03T22:07:27.000Z | 2022-02-03T11:08:42.000Z | mogua/wallet/wallet_user_store.py | vanthoi/mogua-blockchain | 1e46ee2ee4fc98b87aede276608b3bd95971f05a | [
"Apache-2.0"
] | 5 | 2021-09-13T10:23:35.000Z | 2022-03-15T08:43:19.000Z | from typing import List, Optional
import aiosqlite
from mogua.util.db_wrapper import DBWrapper
from mogua.util.ints import uint32
from mogua.wallet.util.wallet_types import WalletType
from mogua.wallet.wallet_info import WalletInfo
class WalletUserStore:
"""
WalletUserStore keeps track of all user created w... | 33.055172 | 105 | 0.605049 |
144d6906a79ec7fe56193f50b1f28d3eb97b2e95 | 2,438 | py | Python | tests/sensor_proc_test.py | raunaqbhirangi/reskin_sensor | 02b86d26b29ae6abdb5411580291eeac3ae7d272 | [
"MIT"
] | 31 | 2021-11-01T13:47:24.000Z | 2022-03-29T08:57:59.000Z | tests/sensor_proc_test.py | raunaqbhirangi/reskin_sensor | 02b86d26b29ae6abdb5411580291eeac3ae7d272 | [
"MIT"
] | 3 | 2021-11-05T15:08:31.000Z | 2022-01-20T23:16:37.000Z | tests/sensor_proc_test.py | raunaqbhirangi/reskin_sensor | 02b86d26b29ae6abdb5411580291eeac3ae7d272 | [
"MIT"
] | 8 | 2021-11-01T13:48:14.000Z | 2022-02-25T08:17:56.000Z | import argparse
import time
from reskin_sensor import ReSkinProcess
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Test code to run a ReSkin streaming process in the background. Allows data to be collected without code blocking"
)
# fmt: off
parser.add_argu... | 33.861111 | 135 | 0.575062 |
a3a995e59ac038d6aef01cbdcb86db150b25e3c8 | 5,424 | py | Python | docs/source/conf.py | akx/PhiK | 7f1dd3ed08b527a95ecb3e8cb973a02616e71d1d | [
"Apache-2.0"
] | 92 | 2018-12-28T14:03:05.000Z | 2022-03-23T16:56:05.000Z | docs/source/conf.py | akx/PhiK | 7f1dd3ed08b527a95ecb3e8cb973a02616e71d1d | [
"Apache-2.0"
] | 34 | 2019-06-19T16:17:17.000Z | 2022-03-25T08:20:04.000Z | docs/source/conf.py | akx/PhiK | 7f1dd3ed08b527a95ecb3e8cb973a02616e71d1d | [
"Apache-2.0"
] | 24 | 2018-12-18T16:41:18.000Z | 2022-03-05T11:25:07.000Z | # -*- coding: utf-8 -*-
#
# PhiK documentation build configuration file for sphinx.
#
#
import os
#from unittest.mock import MagicMock
import phik
# Classes that use non-python modules are not always available in the
# RTD environment. By mocking them we can still import these classes
# in the code and RTD can subs... | 31.352601 | 98 | 0.683813 |
850c986a216092aaba51cc01a3713e13c5066b7c | 441 | py | Python | chapter2_1.py | LuGuo25/Python | 8ea59fb1ab2ac88a765816d77acc676365521940 | [
"Apache-2.0"
] | 1 | 2021-05-18T10:53:11.000Z | 2021-05-18T10:53:11.000Z | chapter2_1.py | LuGuo25/Python | 8ea59fb1ab2ac88a765816d77acc676365521940 | [
"Apache-2.0"
] | null | null | null | chapter2_1.py | LuGuo25/Python | 8ea59fb1ab2ac88a765816d77acc676365521940 | [
"Apache-2.0"
] | null | null | null | s="hello,python" \
"wow"#定义字符串类型变量 \为转义符
print(s)
print(s[1:3])#字符串切片 区间左闭右开 同时也说明字符串s的第一个字母对应数字“0”
print(s[1-3])#这里的1-3是做减法1-3=-2，即取字符串s的倒数第二个字母
num1=50#整数
num2=3.14#浮点型
num3=1+2j#复数
num4=123e5#科学计数法
print(int(num4))#输出num4，num4的类型为浮点型
n=None#空类型
print(num1!=num2 or num2==num1)#输出判断结果#not优先级大于or和and
p="hello world"... | 19.173913 | 53 | 0.75737 |
135f40e5568764fa0d9676e3c23a5d0d52391d60 | 13,419 | py | Python | models/single_stream/pretrain_with_mlm.py | codezakh/ALBEF | 16aee1da1b7682afcd5a5f1ded74fc8dc199a8cf | [
"BSD-3-Clause"
] | null | null | null | models/single_stream/pretrain_with_mlm.py | codezakh/ALBEF | 16aee1da1b7682afcd5a5f1ded74fc8dc199a8cf | [
"BSD-3-Clause"
] | 2 | 2022-02-02T12:55:59.000Z | 2022-02-17T14:39:19.000Z | models/single_stream/pretrain_with_mlm.py | codezakh/ALBEF | 16aee1da1b7682afcd5a5f1ded74fc8dc199a8cf | [
"BSD-3-Clause"
] | null | null | null | from functools import partial
from models.vit import VisionTransformer, interpolate_pos_embed
# from models.xbert import BertConfig, BertForMaskedLM
from models.xbert import BertConfig, BertModel, BertForMaskedLM
from typing import Dict
import torch
import torch.nn.functional as F
from torch import nn
import numpy as... | 46.272414 | 122 | 0.601013 |
5ffaab595d87f46c07038a477fa0459db4c995f6 | 3,230 | py | Python | fuzzy_toolbox/core.py | jdvelasq/pyfuzzy | 4b8c5948f5d05202ec914a60e2bd420133a57e90 | [
"MIT"
] | null | null | null | fuzzy_toolbox/core.py | jdvelasq/pyfuzzy | 4b8c5948f5d05202ec914a60e2bd420133a57e90 | [
"MIT"
] | null | null | null | fuzzy_toolbox/core.py | jdvelasq/pyfuzzy | 4b8c5948f5d05202ec914a60e2bd420133a57e90 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import numpy as np
def format_plot(title=None, view_xaxis=True, view_yaxis=False):
plt.gca().set_ylim(-0.05, 1.05)
plt.gca().spines["bottom"].set_visible(True)
plt.gca().spines["left"].set_visible(False)
plt.gca().spines["right"].set_visible(False)
plt.gca().spine... | 26.916667 | 87 | 0.603715 |
806fea77fbd229ab66fcb8986b98387ad03a9872 | 13,272 | py | Python | mgz/model/__init__.py | happyleavesaoc/mgz | e59e6596268b041f1b5e308b30c736f951116358 | [
"MIT"
] | null | null | null | mgz/model/__init__.py | happyleavesaoc/mgz | e59e6596268b041f1b5e308b30c736f951116358 | [
"MIT"
] | null | null | null | mgz/model/__init__.py | happyleavesaoc/mgz | e59e6596268b041f1b5e308b30c736f951116358 | [
"MIT"
] | null | null | null | """Convert parsed data into object-oriented model."""
import codecs
import collections
import _hashlib
import hashlib
from datetime import timedelta, datetime
from enum import Enum
import dataclasses
from mgz import fast
from mgz.reference import get_consts, get_dataset
from mgz.fast import Action as ActionEnum
from... | 35.392 | 130 | 0.568942 |
ef1be1c73ffb7384d1935fc37b9a23d945b08f64 | 3,728 | py | Python | pyatv/mrp/protobuf/SetDiscoveryModeMessage_pb2.py | acheronfail/pyatv | 9cb96ffcc49938c4b43c92b7b40ddcecae37e732 | [
"MIT"
] | null | null | null | pyatv/mrp/protobuf/SetDiscoveryModeMessage_pb2.py | acheronfail/pyatv | 9cb96ffcc49938c4b43c92b7b40ddcecae37e732 | [
"MIT"
] | null | null | null | pyatv/mrp/protobuf/SetDiscoveryModeMessage_pb2.py | acheronfail/pyatv | 9cb96ffcc49938c4b43c92b7b40ddcecae37e732 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: pyatv/mrp/protobuf/SetDiscoveryModeMessage.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection... | 40.967033 | 334 | 0.804721 |
ff4265f4c34957c1695e94a6e6a1677cc32248b0 | 4,401 | py | Python | dazhongdianping/shop_spider2.py | mannuan/pyspider_script | f4c988912e1099eacd0322b4e9c3a87eaaaa526f | [
"Apache-2.0"
] | 9 | 2018-08-28T07:53:43.000Z | 2019-07-09T07:55:52.000Z | dazhongdianping/shop_spider2.py | mannuan/pyspider_script | f4c988912e1099eacd0322b4e9c3a87eaaaa526f | [
"Apache-2.0"
] | null | null | null | dazhongdianping/shop_spider2.py | mannuan/pyspider_script | f4c988912e1099eacd0322b4e9c3a87eaaaa526f | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# Created on 2017-12-07 22:55:40
# Project: sdad
from pyspider.libs.base_handler import *
import json,pymysql,time
class Handler(BaseHandler):
crawl_config = {
"headers" : {
'Content-Type': 'application/json; charset=utf-8',
'User-Ag... | 42.728155 | 218 | 0.556464 |
09684fb78a7587290512184e92a535ec3d14af3a | 426 | py | Python | inventory/templatetags/indirect.py | Eising/viconf | 56b80e340a173dcba013e2c4f6568a1407d418a2 | [
"MIT"
] | 3 | 2018-07-13T12:50:37.000Z | 2018-07-13T22:43:49.000Z | inventory/templatetags/indirect.py | Eising/viconf | 56b80e340a173dcba013e2c4f6568a1407d418a2 | [
"MIT"
] | null | null | null | inventory/templatetags/indirect.py | Eising/viconf | 56b80e340a173dcba013e2c4f6568a1407d418a2 | [
"MIT"
] | null | null | null | from django import template
from util.validators import ViconfValidators
import sys
register = template.Library()
@register.simple_tag
def indirect(variable, key):
return variable[key]
@register.simple_tag
def validatorclass(name):
validators = ViconfValidators.VALIDATORS
if name == 'none':
retur... | 20.285714 | 44 | 0.706573 |
072416802835c87642cf434baf400f34318801f4 | 245 | py | Python | cryptocurrency_tracker_plugin/__init__.py | BotDevGroup/cryptocurrency_tracker_plugin | 7d2ce68553daebce34d8a72e26915e2a95a84c50 | [
"MIT"
] | null | null | null | cryptocurrency_tracker_plugin/__init__.py | BotDevGroup/cryptocurrency_tracker_plugin | 7d2ce68553daebce34d8a72e26915e2a95a84c50 | [
"MIT"
] | null | null | null | cryptocurrency_tracker_plugin/__init__.py | BotDevGroup/cryptocurrency_tracker_plugin | 7d2ce68553daebce34d8a72e26915e2a95a84c50 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
__author__ = """Ricardo Arturo Cabral Mejia"""
__email__ = 'me@ricardocabral.io'
__version__ = '0.1.0'
from cryptocurrency_tracker_plugin.base import CryptocurrencyTrackerPlugin
plugin = CryptocurrencyTrackerPlugin()
| 22.272727 | 74 | 0.763265 |
fb1c788140d2ec16451dec9cc94ce933756dc5b9 | 9,692 | py | Python | tests/test_runner/test_fp16.py | jinliwei1997/mmcv | f8d46df4a9fa32fb44d2e92a4ca5e7b26ee9cb79 | [
"Apache-2.0"
] | 3,748 | 2018-10-12T08:39:46.000Z | 2022-03-31T17:22:55.000Z | tests/test_runner/test_fp16.py | jinliwei1997/mmcv | f8d46df4a9fa32fb44d2e92a4ca5e7b26ee9cb79 | [
"Apache-2.0"
] | 1,637 | 2018-10-12T06:06:18.000Z | 2022-03-31T02:20:53.000Z | tests/test_runner/test_fp16.py | jinliwei1997/mmcv | f8d46df4a9fa32fb44d2e92a4ca5e7b26ee9cb79 | [
"Apache-2.0"
] | 1,234 | 2018-10-12T09:28:20.000Z | 2022-03-31T15:56:24.000Z | import numpy as np
import pytest
import torch
import torch.nn as nn
from mmcv.runner.fp16_utils import auto_fp16, cast_tensor_type, force_fp32
def test_cast_tensor_type():
inputs = torch.FloatTensor([5.])
src_type = torch.float32
dst_type = torch.int32
outputs = cast_tensor_type(inputs, src_type, dst... | 32.199336 | 75 | 0.652291 |
8c2ff245c0593cfa9054ce08ec587cbada1a78cd | 919 | py | Python | Category.py | Auggen21/Optical-Mark-Reader-using-python | 95e2efa2fb17ad3e5f3ad3d221f9e3417149b071 | [
"MIT"
] | null | null | null | Category.py | Auggen21/Optical-Mark-Reader-using-python | 95e2efa2fb17ad3e5f3ad3d221f9e3417149b071 | [
"MIT"
] | null | null | null | Category.py | Auggen21/Optical-Mark-Reader-using-python | 95e2efa2fb17ad3e5f3ad3d221f9e3417149b071 | [
"MIT"
] | 1 | 2020-08-25T18:56:45.000Z | 2020-08-25T18:56:45.000Z | import cv2
import numpy as np
def category(cat):
cate=""
orginal=np.uint8(cat)
orginal=cv2.resize(orginal,(202,626))
c = ["GEN","OBC1","OBC2","SC","ST","PH"]
h,w = orginal.shape
crop= orginal[140:h-5,140:w-5]
# cv2.imshow('l',crop)
h1,w1 = crop.shape
th, im_th = cv2.threshold(crop,... | 24.837838 | 86 | 0.525571 |
ff7b7df8e5bb3b3ecdf76dea4f84a97fa01dda5d | 2,456 | py | Python | sdk/python/pulumi_azure_native/kusto/v20190121/list_database_principals.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/kusto/v20190121/list_database_principals.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_azure_native/kusto/v20190121/list_database_principals.py | sebtelko/pulumi-azure-native | 711ec021b5c73da05611c56c8a35adb0ce3244e4 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from ... import _utilities
fro... | 35.085714 | 151 | 0.690961 |
c4a15e5278b7ce630de1eb6de4ae5e71f29a5ce5 | 2,745 | py | Python | scrapy_dynamic_spiders/factories/crawl_spider_factory.py | harootune/scrapy_dynamic_spiders | a443533c17af6ba906e28fc897f7a6e4d19c2ed0 | [
"MIT"
] | null | null | null | scrapy_dynamic_spiders/factories/crawl_spider_factory.py | harootune/scrapy_dynamic_spiders | a443533c17af6ba906e28fc897f7a6e4d19c2ed0 | [
"MIT"
] | null | null | null | scrapy_dynamic_spiders/factories/crawl_spider_factory.py | harootune/scrapy_dynamic_spiders | a443533c17af6ba906e28fc897f7a6e4d19c2ed0 | [
"MIT"
] | 1 | 2020-11-24T15:48:26.000Z | 2020-11-24T15:48:26.000Z | # stdlib
import copy
from typing import List
# third party
from scrapy.spiders import Rule
# local
import scrapy_dynamic_spiders.utils.factory_utils as f_utils
from scrapy_dynamic_spiders.factories import SpiderClsFactory
class CrawlSpiderClsFactory(SpiderClsFactory):
"""Generates temporary CrawlSpider classes ... | 37.60274 | 114 | 0.650273 |
2214026ff78eb85af2bec4b7d01e9d03368ff233 | 5,818 | py | Python | swagger_client/models/budget_notification.py | chbndrhnns/ahoi-client | 8bd25f541c05af17c82904fa250272514b7971f2 | [
"MIT"
] | null | null | null | swagger_client/models/budget_notification.py | chbndrhnns/ahoi-client | 8bd25f541c05af17c82904fa250272514b7971f2 | [
"MIT"
] | null | null | null | swagger_client/models/budget_notification.py | chbndrhnns/ahoi-client | 8bd25f541c05af17c82904fa250272514b7971f2 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
[AHOI cookbook](/ahoi/docs/cookbook/index.html) [Data Privacy](/sandboxmanager/#/privacy) [Terms of Service](/sandboxmanager/#/terms) [Imprint](https://sparkassen-hub.com/impressum/) © 2016‐2017 Starfinanz - Ein Unternehmen der Finanz Informatik # noqa: E501
OpenAPI sp... | 33.245714 | 277 | 0.629598 |
39f7581810ffad7e25f15dc7d5d25470e8223da5 | 8,755 | py | Python | sdks/python/apache_beam/typehints/native_type_compatibility_test.py | ibzib/beam | f98104a22b69972744a13378e17af5f2361fbb3e | [
"Apache-2.0"
] | null | null | null | sdks/python/apache_beam/typehints/native_type_compatibility_test.py | ibzib/beam | f98104a22b69972744a13378e17af5f2361fbb3e | [
"Apache-2.0"
] | 1 | 2020-09-03T06:16:36.000Z | 2020-09-10T07:08:27.000Z | sdks/python/apache_beam/typehints/native_type_compatibility_test.py | ibzib/beam | f98104a22b69972744a13378e17af5f2361fbb3e | [
"Apache-2.0"
] | 1 | 2020-07-25T15:36:45.000Z | 2020-07-25T15:36:45.000Z | #
# 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... | 39.084821 | 92 | 0.673901 |
a4a93aca43b590bcb1de4a09ea229931056d8ad8 | 987 | py | Python | Python_Assistant/PyAssist-BasicFiles/WxPython.py | GeekyShiva/PyAssist | a8761cfcd8344771e7e1bfab469ed3e49f12adda | [
"MIT"
] | null | null | null | Python_Assistant/PyAssist-BasicFiles/WxPython.py | GeekyShiva/PyAssist | a8761cfcd8344771e7e1bfab469ed3e49f12adda | [
"MIT"
] | null | null | null | Python_Assistant/PyAssist-BasicFiles/WxPython.py | GeekyShiva/PyAssist | a8761cfcd8344771e7e1bfab469ed3e49f12adda | [
"MIT"
] | 1 | 2020-08-17T15:01:43.000Z | 2020-08-17T15:01:43.000Z | import wx
class MyFrame(wx.Frame):
def __init__(self):
wx.Frame.__init__(self, None,
pos=wx.DefaultPosition, size=wx.Size(450, 100),
style=wx.MINIMIZE_BOX | wx.SYSTEM_MENU | wx.CAPTION |
wx.CLOSE_BOX | wx.CLIP_CHILDREN,
title="PyAssist")
panel = wx.Pa... | 31.83871 | 86 | 0.601824 |
f0b1e423146e680526351e0f11d27cbd6867ff8e | 4,130 | py | Python | src/ColorTheories/classes/Color.py | pgscasado/Color-Theories | 58119879cbc6161720ac4f16ae9949fbdbbcf063 | [
"MIT"
] | null | null | null | src/ColorTheories/classes/Color.py | pgscasado/Color-Theories | 58119879cbc6161720ac4f16ae9949fbdbbcf063 | [
"MIT"
] | 1 | 2021-05-04T18:38:22.000Z | 2021-05-04T18:38:22.000Z | src/ColorTheories/classes/Color.py | pgscasado/Color-Theories | 58119879cbc6161720ac4f16ae9949fbdbbcf063 | [
"MIT"
] | 1 | 2021-04-27T23:32:21.000Z | 2021-04-27T23:32:21.000Z | import copy
import math
import operator
# Implementação de Color:
# - exemplo para criar uma cor independentemente de outra:
# Color("nome", red=213, green="123", blue="0", alpha="50")
# - exemplo para criar uma cor como resultado de um processo aditivo entre duas cores:
# red = Color("red", 255, 0, 0, 255)
# gre... | 33.306452 | 132 | 0.680387 |
35e847134f56b1cc2104b2e46a2c0853d8504f28 | 8,513 | py | Python | tests/test_kb_construction.py | chaithyagr/torchkbnufft | 3592175fe2d1f611fb2cfec4d4150a850c92605f | [
"MIT"
] | null | null | null | tests/test_kb_construction.py | chaithyagr/torchkbnufft | 3592175fe2d1f611fb2cfec4d4150a850c92605f | [
"MIT"
] | null | null | null | tests/test_kb_construction.py | chaithyagr/torchkbnufft | 3592175fe2d1f611fb2cfec4d4150a850c92605f | [
"MIT"
] | null | null | null | import torch
import numpy as np
from torchkbnufft import (
AdjKbNufft,
AdjMriSenseNufft,
KbInterpBack,
KbInterpForw,
KbNufft,
MriSenseNufft,
)
def test_kb_matching(testing_tol):
norm_tol = testing_tol
def check_tables(table1, table2):
for ind, table in enumerate(table1):
... | 23.845938 | 83 | 0.567133 |
ea649dba52d17f38a322683bd39d41f74856fdab | 2,255 | py | Python | passacre/multibase.py | massich/passacre_mirror | f2e87f334c56ab9680ab444b1be6e2dd879313d2 | [
"CC0-1.0"
] | 47 | 2015-03-06T08:49:50.000Z | 2022-01-09T09:10:03.000Z | passacre/multibase.py | massich/passacre_mirror | f2e87f334c56ab9680ab444b1be6e2dd879313d2 | [
"CC0-1.0"
] | 5 | 2015-04-21T21:35:44.000Z | 2019-09-30T18:43:03.000Z | passacre/multibase.py | massich/passacre_mirror | f2e87f334c56ab9680ab444b1be6e2dd879313d2 | [
"CC0-1.0"
] | 10 | 2015-04-03T21:18:46.000Z | 2020-02-11T17:15:51.000Z | # Copyright (c) Aaron Gallagher <_@habnab.it>
# See COPYING for details.
from __future__ import unicode_literals
class MultiBase(object):
"""Represents a base where not every digit has the same possible values.
The ``bases`` parameter must be a sequence of strings, where each item in
the sequence represe... | 34.692308 | 82 | 0.600443 |
394bc942567928d25e5425c694865527bcd45544 | 668 | py | Python | test.py | HugoSilvaSantos/creator-python-client | 477c543ac239c68379e0f6e1e8c97c72572afddb | [
"BSD-3-Clause"
] | null | null | null | test.py | HugoSilvaSantos/creator-python-client | 477c543ac239c68379e0f6e1e8c97c72572afddb | [
"BSD-3-Clause"
] | null | null | null | test.py | HugoSilvaSantos/creator-python-client | 477c543ac239c68379e0f6e1e8c97c72572afddb | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
"""
Test routine for Creator Python Client .
"""
import unittest
import os
import creator_python_client
CREATOR_ACCESS_KEY = os.environ['CREATOR_ACCESS_KEY']
CREATOR_ACCESS_SECRET = os.environ['CREATOR_ACCESS_SECRET']
class CreatorTest(unittest.TestCase):
"""
... | 22.266667 | 60 | 0.672156 |
a025e7226c9f3c3b55853821262fb1859aa06400 | 5,105 | py | Python | experiments/genuary2022/g22_07_sol_lewitt_wall.py | brendanhowell/cursor | 81ac2e1e80f0a3ca56208b9498026fca147e7e0b | [
"MIT"
] | 3 | 2021-12-02T08:30:02.000Z | 2022-03-06T18:25:15.000Z | experiments/genuary2022/g22_07_sol_lewitt_wall.py | brendanhowell/cursor | 81ac2e1e80f0a3ca56208b9498026fca147e7e0b | [
"MIT"
] | 41 | 2020-03-22T13:15:04.000Z | 2022-03-17T11:29:47.000Z | experiments/genuary2022/g22_07_sol_lewitt_wall.py | brendanhowell/cursor | 81ac2e1e80f0a3ca56208b9498026fca147e7e0b | [
"MIT"
] | 2 | 2020-01-09T16:35:14.000Z | 2022-02-28T15:21:08.000Z | from cursor import path
from shapely.geometry import MultiLineString
from shapely.affinity import rotate
from shapely import speedups
from math import sqrt
def hatchbox(rect, angle, spacing):
"""
returns a Shapely geometry (MULTILINESTRING, or more rarely,
GEOMETRYCOLLECTION) for a simple hatched rectang... | 26.868421 | 70 | 0.511851 |
47cd760468122c581fc2f8c46b704397314e6075 | 7,859 | py | Python | pyblock/pd_utils.py | robertodr/pyblock | cf97502df45685575cae251a1c7781e9786d486c | [
"BSD-3-Clause"
] | 21 | 2015-07-07T15:10:30.000Z | 2021-12-13T14:25:20.000Z | pyblock/pd_utils.py | robertodr/pyblock | cf97502df45685575cae251a1c7781e9786d486c | [
"BSD-3-Clause"
] | 10 | 2017-11-01T01:37:19.000Z | 2022-01-18T08:38:27.000Z | pyblock/pd_utils.py | robertodr/pyblock | cf97502df45685575cae251a1c7781e9786d486c | [
"BSD-3-Clause"
] | 9 | 2015-10-16T14:47:35.000Z | 2022-02-10T11:33:22.000Z | '''Pandas-based wrapper around :mod:`pyblock.blocking`.'''
# copyright: (c) 2014 James Spencer
# license: modified BSD license; see LICENSE for further details.
import numpy
import pandas as pd
import pyblock.blocking
def reblock(data, axis=0, weights=None):
'''Blocking analysis of correlated data.
Parameters
-... | 37.42381 | 83 | 0.663189 |
7e3f06dae8fd10587dc2080530d66aa19ea3311d | 3,861 | py | Python | python/tests/test_graph_functions.py | mhendricks96/data-structures-and-algorithms | 9c07d284fa8f54a0405a1fc5bda963b6150cc2ef | [
"MIT"
] | null | null | null | python/tests/test_graph_functions.py | mhendricks96/data-structures-and-algorithms | 9c07d284fa8f54a0405a1fc5bda963b6150cc2ef | [
"MIT"
] | 39 | 2021-06-08T04:19:00.000Z | 2022-03-19T17:58:10.000Z | python/tests/test_graph_functions.py | mhendricks96/data-structures-and-algorithms | 9c07d284fa8f54a0405a1fc5bda963b6150cc2ef | [
"MIT"
] | null | null | null | from graphs.graphs import Graph, Edge, Vertex
from code_challenges.graph_functions.graph_functions import business_trip
import pytest
def test_business_trip():
my_graph = Graph()
pandora = my_graph.add_node('Pandora')
metroville = my_graph.add_node('Metroville')
narnia = my_graph.add_node('Narnia')
naboo... | 36.424528 | 73 | 0.766641 |
e13a76a319fa7860153724445e5793370b72fce3 | 1,609 | py | Python | info.py | CPFelix/pytorch-image-models- | d0c322b2a55d156b0fe5d9030d9599708a349266 | [
"Apache-2.0"
] | null | null | null | info.py | CPFelix/pytorch-image-models- | d0c322b2a55d156b0fe5d9030d9599708a349266 | [
"Apache-2.0"
] | null | null | null | info.py | CPFelix/pytorch-image-models- | d0c322b2a55d156b0fe5d9030d9599708a349266 | [
"Apache-2.0"
] | null | null | null | import timm
from pprint import pprint
import urllib
from PIL import Image
from timm.data import resolve_data_config
from timm.data.transforms_factory import create_transform
import torch
# v0.1-rsb-weights
# TEST 8
if __name__ == "__main__":
# print models
model_names = timm.list_models(pretrained=True)
# ... | 34.978261 | 108 | 0.664388 |
1ef6d247ddb0003c4f526b324caee40322f221ff | 26,247 | py | Python | electrum_xazab/tests/test_blockchain.py | nunumichael/electrum-xazab | f128c765f451b418a418f9cd8b8e24fd8f66df74 | [
"MIT"
] | null | null | null | electrum_xazab/tests/test_blockchain.py | nunumichael/electrum-xazab | f128c765f451b418a418f9cd8b8e24fd8f66df74 | [
"MIT"
] | null | null | null | electrum_xazab/tests/test_blockchain.py | nunumichael/electrum-xazab | f128c765f451b418a418f9cd8b8e24fd8f66df74 | [
"MIT"
] | 2 | 2021-05-23T23:38:56.000Z | 2021-05-24T19:01:07.000Z | import shutil
import tempfile
import os
from electrum_xazab import constants, blockchain
from electrum_xazab.simple_config import SimpleConfig
from electrum_xazab.blockchain import Blockchain, deserialize_header, hash_header
from electrum_xazab.util import bh2u, bfh, make_dir
from . import ElectrumTestCase
class Te... | 62.492857 | 219 | 0.730102 |
b188bf6ac102b56ef29e02656757aa71a4298d07 | 810 | py | Python | crop_images.py | ashok-arjun/Gaussian-Poisson-GANs-For-Image-Blending | 878374ae7b11e41c8eebb9cc6281cdda33506c22 | [
"MIT"
] | 1 | 2021-03-15T13:44:04.000Z | 2021-03-15T13:44:04.000Z | crop_images.py | aiarjun/Gaussian-Poisson-GANs-For-Image-Blending | 7eeec778c6b14df32588c320609ac50004add0a6 | [
"MIT"
] | 1 | 2022-01-13T03:54:13.000Z | 2022-01-13T03:54:13.000Z | crop_images.py | aiarjun/Gaussian-Poisson-GANs-For-Image-Blending | 7eeec778c6b14df32588c320609ac50004add0a6 | [
"MIT"
] | null | null | null | import glob
import os
from skimage.io import imread, imsave
def crop_images(data_dir, result_dir):
if not os.path.isdir(result_dir):
os.makedirs(result_dir)
print('Cropped images will be saved to {} ...\n'.format(result_dir))
with open('data/bbox.txt') as f:
for line in f:
name, bbox = line.stri... | 31.153846 | 86 | 0.64321 |
498be439632585c12fbf624e5449fa255871d8af | 611 | py | Python | modules/jokes.py | hasibulkabir/friday-bot | 6d7b0441baeb295029570d96b523b2603b92925e | [
"MIT"
] | 5 | 2017-07-15T07:27:47.000Z | 2021-01-27T12:29:37.000Z | modules/jokes.py | hasibulkabir/friday-bot | 6d7b0441baeb295029570d96b523b2603b92925e | [
"MIT"
] | null | null | null | modules/jokes.py | hasibulkabir/friday-bot | 6d7b0441baeb295029570d96b523b2603b92925e | [
"MIT"
] | 4 | 2017-01-27T01:25:18.000Z | 2020-10-04T08:03:12.000Z | import requests , random
from bs4 import BeautifulSoup as BS
def randomJoke():
jokeUrl = "http://www.santabanta.com/jokes/?page=" + str(random.randint(1, 1050))
res = requests.get(jokeUrl)
soup = BS(res.text, 'html.parser')
result = soup.find_all('span', {'class': 'sms_text'})
return rand... | 29.095238 | 86 | 0.635025 |
3e583de73c9370ddbb954bedc9ff2b67308d306e | 1,028 | py | Python | semseg/augmentations/__init__.py | ManuelFritsche/flow-consistency | 90625fe25855aa11c6245ca242ab8d66c41f4726 | [
"MIT"
] | 4 | 2020-06-14T00:35:49.000Z | 2021-09-02T11:08:47.000Z | semseg/augmentations/__init__.py | ManuelFritsche/FlowConsistency | 90625fe25855aa11c6245ca242ab8d66c41f4726 | [
"MIT"
] | 1 | 2019-12-05T20:06:14.000Z | 2020-01-05T15:06:55.000Z | semseg/augmentations/__init__.py | ManuelFritsche/flow-consistency | 90625fe25855aa11c6245ca242ab8d66c41f4726 | [
"MIT"
] | 2 | 2019-01-26T03:16:25.000Z | 2019-02-25T22:52:34.000Z | import logging
from semseg.augmentations.augmentations import *
logger = logging.getLogger('semseg')
key2aug = {'gamma': AdjustGamma,
'hue': AdjustHue,
'brightness': AdjustBrightness,
'saturation': AdjustSaturation,
'contrast': AdjustContrast,
'rcrop': ... | 31.151515 | 78 | 0.607004 |
370c334ec2653852501df7092dbc14a647c31abb | 8,937 | py | Python | cca.py | petr-bauch/cca | 6011c602e1184fff4fc9a9b880cb59a070746929 | [
"Apache-2.0"
] | 4 | 2021-03-26T01:43:06.000Z | 2022-02-22T13:16:26.000Z | cca.py | petr-bauch/cca | 6011c602e1184fff4fc9a9b880cb59a070746929 | [
"Apache-2.0"
] | 2 | 2020-10-25T07:44:54.000Z | 2021-03-28T08:15:14.000Z | cca.py | petr-bauch/cca | 6011c602e1184fff4fc9a9b880cb59a070746929 | [
"Apache-2.0"
] | 3 | 2017-02-28T02:57:32.000Z | 2022-02-09T07:01:11.000Z | #!/usr/bin/env python3
'''
A driver script for CCA container image
Copyright 2021 Codinuum Software Lab <https://codinuum.com>
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... | 30.294915 | 113 | 0.594047 |
1c9f4ca5c9d9a2927f4fd03270feb5d92cad4892 | 19,528 | py | Python | mkt/submit/forms.py | chrisdavidmills/zamboni | 09e05bad2570663d25408793289c81324d3e952e | [
"BSD-3-Clause"
] | null | null | null | mkt/submit/forms.py | chrisdavidmills/zamboni | 09e05bad2570663d25408793289c81324d3e952e | [
"BSD-3-Clause"
] | null | null | null | mkt/submit/forms.py | chrisdavidmills/zamboni | 09e05bad2570663d25408793289c81324d3e952e | [
"BSD-3-Clause"
] | 1 | 2021-03-13T00:33:12.000Z | 2021-03-13T00:33:12.000Z | import datetime
from collections import defaultdict
from django import forms
import happyforms
import waffle
from tower import ugettext as _, ugettext_lazy as _lazy
import amo
from addons.models import Addon, AddonUpsell, BlacklistedSlug, Webapp
from amo.utils import slug_validator
from apps.users.models import User... | 39.450505 | 79 | 0.600881 |
855ff5f83e8cb57104b274efc4b444b9ae4f33b8 | 12,175 | py | Python | mindhome_alpha/erpnext/projects/doctype/task/task.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | 1 | 2021-04-29T14:55:29.000Z | 2021-04-29T14:55:29.000Z | mindhome_alpha/erpnext/projects/doctype/task/task.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | null | null | null | mindhome_alpha/erpnext/projects/doctype/task/task.py | Mindhome/field_service | 3aea428815147903eb9af1d0c1b4b9fc7faed057 | [
"MIT"
] | 1 | 2021-04-29T14:39:01.000Z | 2021-04-29T14:39:01.000Z | # Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import json
import frappe
from frappe import _, throw
from frappe.desk.form.assign_to import clear, close_all_assignments
from frappe.model.mapper imp... | 35.495627 | 158 | 0.723121 |
fbb8bff412879c88f8451739a8706f331d1a97d8 | 4,125 | py | Python | lldb/packages/Python/lldbsuite/test/python_api/lldbutil/iter/TestRegistersIterator.py | medismailben/llvm-project | e334a839032fe500c3bba22bf976ab7af13ce1c1 | [
"Apache-2.0"
] | 765 | 2015-12-03T16:44:59.000Z | 2022-03-07T12:41:10.000Z | lldb/packages/Python/lldbsuite/test/python_api/lldbutil/iter/TestRegistersIterator.py | medismailben/llvm-project | e334a839032fe500c3bba22bf976ab7af13ce1c1 | [
"Apache-2.0"
] | 1,815 | 2015-12-11T23:56:05.000Z | 2020-01-10T19:28:43.000Z | lldb/packages/Python/lldbsuite/test/python_api/lldbutil/iter/TestRegistersIterator.py | medismailben/llvm-project | e334a839032fe500c3bba22bf976ab7af13ce1c1 | [
"Apache-2.0"
] | 284 | 2015-12-03T16:47:25.000Z | 2022-03-12T05:39:48.000Z | """
Test the iteration protocol for frame registers.
"""
from __future__ import print_function
import lldb
from lldbsuite.test.decorators import *
from lldbsuite.test.lldbtest import *
from lldbsuite.test import lldbutil
class RegistersIteratorTestCase(TestBase):
mydir = TestBase.compute_mydir(__file__)
... | 38.915094 | 100 | 0.473697 |
0d0492bf1357d4e1926042a04ca1eed241de2f18 | 4,921 | py | Python | tests/unit/sagemaker/model/test_neo.py | aws-patlin/sagemaker-python-sdk | 18af12beffed82aaf263e9cfec8832f39b6bc63f | [
"Apache-2.0"
] | 1 | 2020-11-20T14:48:24.000Z | 2020-11-20T14:48:24.000Z | tests/unit/sagemaker/model/test_neo.py | aws-patlin/sagemaker-python-sdk | 18af12beffed82aaf263e9cfec8832f39b6bc63f | [
"Apache-2.0"
] | null | null | null | tests/unit/sagemaker/model/test_neo.py | aws-patlin/sagemaker-python-sdk | 18af12beffed82aaf263e9cfec8832f39b6bc63f | [
"Apache-2.0"
] | 1 | 2020-04-30T07:43:57.000Z | 2020-04-30T07:43:57.000Z | # Copyright 2017-2020 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"). You
# may not use this file except in compliance with the License. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" fil... | 31.343949 | 95 | 0.706157 |
2cd93e6b5a302fac84cac92c1a56617e0a0404d7 | 10,376 | py | Python | spark_jobs/top_seller.py | WillianFuks/PySpark-RecSys | 756c8ce420143ac2483d8e6f959df4019a5479ee | [
"MIT"
] | 5 | 2019-01-10T16:06:04.000Z | 2020-11-12T01:19:30.000Z | spark_jobs/top_seller.py | dutradda/PySpark-RecSys | 756c8ce420143ac2483d8e6f959df4019a5479ee | [
"MIT"
] | null | null | null | spark_jobs/top_seller.py | dutradda/PySpark-RecSys | 756c8ce420143ac2483d8e6f959df4019a5479ee | [
"MIT"
] | 2 | 2019-01-10T16:15:03.000Z | 2020-11-17T11:37:54.000Z | #MIT License
#
#Copyright (c) 2017 Willian Fuks
#
#Permission is hereby granted, free of charge, to any person obtaining a copy
#of this software and associated documentation files (the "Software"), to deal
#in the Software without restriction, including without limitation the rights
#to use, copy, modify, merge, publi... | 36.925267 | 85 | 0.575559 |
edd343cebdeb232ef9b1cfeeec5d6ec9c64139af | 1,303 | py | Python | Proyecto/start.py | leynier/IA-Sim-Com | f6e99bb1aa4b02d5d558dc76a9bf802c3761e428 | [
"MIT"
] | 2 | 2021-11-20T23:35:20.000Z | 2021-12-10T17:45:56.000Z | Proyecto/start.py | arnel-sanchez/IA-Sim-Com | 22023342f20202b260caa759af9cce71d803663e | [
"MIT"
] | 1 | 2022-02-11T07:26:54.000Z | 2022-02-11T07:26:54.000Z | Proyecto/start.py | leynier/IA-Sim-Com | f6e99bb1aa4b02d5d558dc76a9bf802c3761e428 | [
"MIT"
] | 1 | 2022-02-11T07:24:50.000Z | 2022-02-11T07:24:50.000Z | from pynput import keyboard
from os import name, system
from time import sleep
from sys import exit
def main():
print_welcome()
keyboard.Listener(key).run()
def print_welcome():
clear_console()
print("Hola, bienvenido al simulador de Jefe Tecnico de Moto GP")
print("Para Iniciar Nueva Simulacion... | 21.360656 | 69 | 0.651573 |
a62c7ee9a219eee0e31ce5474969cf413e7db5af | 5,147 | py | Python | onlinecourse/migrations/0001_initial.py | Givindu98/Givindu-Final-Cloud-App-With-Database | 81ebaa0735596ed3197806ff04e7eb679e6cb44a | [
"Apache-2.0"
] | null | null | null | onlinecourse/migrations/0001_initial.py | Givindu98/Givindu-Final-Cloud-App-With-Database | 81ebaa0735596ed3197806ff04e7eb679e6cb44a | [
"Apache-2.0"
] | null | null | null | onlinecourse/migrations/0001_initial.py | Givindu98/Givindu-Final-Cloud-App-With-Database | 81ebaa0735596ed3197806ff04e7eb679e6cb44a | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.1.3 on 2021-12-17 06:04
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUT... | 47.220183 | 210 | 0.58539 |
2adabc6d5f5f495577e601fa440aebfc6fc082c9 | 426 | py | Python | derivest/__init__.py | njwichrowski/pyDERIVEST | dcca2e98080e1b141674d44af7fd5f1d0f4395f0 | [
"BSD-2-Clause"
] | null | null | null | derivest/__init__.py | njwichrowski/pyDERIVEST | dcca2e98080e1b141674d44af7fd5f1d0f4395f0 | [
"BSD-2-Clause"
] | null | null | null | derivest/__init__.py | njwichrowski/pyDERIVEST | dcca2e98080e1b141674d44af7fd5f1d0f4395f0 | [
"BSD-2-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
__all__ = ["derivest", "directional_diff", "gradest", "hess_diag",
"hessian", "jacobianest", "ensemble", "build_kwargs"]
from .derivest import derivest
from .directional_diff import directional_diff
from .gradest import gradest
from .hess_diag import hess_diag
from .hessian import h... | 32.769231 | 66 | 0.760563 |
4473002dc1d1213e1c9b19da8bac47d1812f867d | 3,576 | py | Python | scrapy/tests/test_utils_defer.py | emschorsch/scrapy | acb7bad1ff4037b4a613ac94e2d3357bf92bdb8f | [
"BSD-3-Clause"
] | 1 | 2016-01-01T14:58:12.000Z | 2016-01-01T14:58:12.000Z | scrapy/tests/test_utils_defer.py | emschorsch/scrapy | acb7bad1ff4037b4a613ac94e2d3357bf92bdb8f | [
"BSD-3-Clause"
] | 2 | 2021-12-13T20:51:32.000Z | 2022-02-11T03:47:35.000Z | scrapy/tests/test_utils_defer.py | emschorsch/scrapy | acb7bad1ff4037b4a613ac94e2d3357bf92bdb8f | [
"BSD-3-Clause"
] | null | null | null | from twisted.trial import unittest
from twisted.internet import reactor, defer
from twisted.python.failure import Failure
from scrapy.utils.defer import mustbe_deferred, process_chain, \
process_chain_both, process_parallel, iter_errback
class MustbeDeferredTest(unittest.TestCase):
def test_success_function(... | 34.057143 | 95 | 0.608501 |
8489aec84e0d2d0e45728de480daeeeae98a9576 | 581 | py | Python | tests/virtualenvs/pickle_env.py | Hernrup/pipdeptree | 7c90d2b76467eda76122b40a1fe736758f346c92 | [
"MIT"
] | null | null | null | tests/virtualenvs/pickle_env.py | Hernrup/pipdeptree | 7c90d2b76467eda76122b40a1fe736758f346c92 | [
"MIT"
] | null | null | null | tests/virtualenvs/pickle_env.py | Hernrup/pipdeptree | 7c90d2b76467eda76122b40a1fe736758f346c92 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# This is a small tool to create a pickle file for a set of packages for the
# purposes of writing tests
import pickle
import sys
try:
from pip._internal.utils.misc import get_installed_distributions
except ImportError:
from pip import get_installed_distributions
def main():
defau... | 23.24 | 76 | 0.722892 |
155fd7a67f9a9edc0c2bd8f87fae7578bf4259f1 | 356 | py | Python | img_to_video.py | lidongyv/Reppoint-Tracking | 81b81e921f6b905e68aba117ffc4fca8ffcfcfd6 | [
"MIT"
] | null | null | null | img_to_video.py | lidongyv/Reppoint-Tracking | 81b81e921f6b905e68aba117ffc4fca8ffcfcfd6 | [
"MIT"
] | null | null | null | img_to_video.py | lidongyv/Reppoint-Tracking | 81b81e921f6b905e68aba117ffc4fca8ffcfcfd6 | [
"MIT"
] | null | null | null | import ffmpeg
import os
out_path='/home/ld/RepPoints/final/epoch13 thres0.3/vis/vis/'
video_name=os.listdir(out_path)
for i in range(len(video_name)):
video_path=os.path.join(out_path,video_name[i])
(
ffmpeg
.input(os.path.join(video_path,'*.jpg'), pattern_type='glob', framerate=10)
.output(os.path.join(out_pat... | 29.666667 | 77 | 0.730337 |
3e42af30a532d4ca6224467f86bb8b3b53455f9e | 29,859 | py | Python | test/functional/wallet_bumpfee.py | SpaceXpanse/xaya | d106801eb4a86f6d7153ea21e7b49807ecf85091 | [
"MIT"
] | null | null | null | test/functional/wallet_bumpfee.py | SpaceXpanse/xaya | d106801eb4a86f6d7153ea21e7b49807ecf85091 | [
"MIT"
] | null | null | null | test/functional/wallet_bumpfee.py | SpaceXpanse/xaya | d106801eb4a86f6d7153ea21e7b49807ecf85091 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2016-2020 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 the bumpfee RPC.
Verifies that the bumpfee RPC creates replacement transactions successfully when... | 48.23748 | 175 | 0.712482 |
9116789f32b578ba52ef0ec55e20145f971d78d2 | 13,644 | py | Python | pysnmp/JUNIPER-JS-NAT-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/JUNIPER-JS-NAT-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/JUNIPER-JS-NAT-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 10 | 2019-04-30T05:51:36.000Z | 2022-02-16T03:33:41.000Z | #
# PySNMP MIB module JUNIPER-JS-NAT-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/JUNIPER-JS-NAT-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 19:48:41 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, ... | 129.942857 | 2,076 | 0.76202 |
bf0e849cee23096ff15ed13e9a02c99fce8b9ef5 | 20,434 | py | Python | train.py | NIST-NEON-DSE/deepTEA | fb0dfc407c6963ff21daf835bbd43e4c4124f22c | [
"Apache-2.0"
] | 2 | 2020-01-17T18:42:06.000Z | 2020-07-03T04:57:04.000Z | train.py | NIST-NEON-DSE/deepTEA | fb0dfc407c6963ff21daf835bbd43e4c4124f22c | [
"Apache-2.0"
] | null | null | null | train.py | NIST-NEON-DSE/deepTEA | fb0dfc407c6963ff21daf835bbd43e4c4124f22c | [
"Apache-2.0"
] | null | null | null | import argparse
import os
import sys
import warnings
#Import logger.
#if __name__ == "__main__":
# from comet_ml import Experiment, predictor
import keras
import keras.preprocessing.image
import tensorflow as tf
import glob
import sys
wdir = os.getcwd()
#print(dir)
sys.path.insert(0, os.path.join(os.path.dirname... | 48.307329 | 187 | 0.675639 |
871bede4c9c011418cb4d87c888c72e4ec3fcbf0 | 1,903 | py | Python | lab7/project/main.py | CaramelIceCream/InformationSecurity | c509c40bbb929a7ff05123e486e8f260db327dd2 | [
"CC-BY-4.0"
] | null | null | null | lab7/project/main.py | CaramelIceCream/InformationSecurity | c509c40bbb929a7ff05123e486e8f260db327dd2 | [
"CC-BY-4.0"
] | null | null | null | lab7/project/main.py | CaramelIceCream/InformationSecurity | c509c40bbb929a7ff05123e486e8f260db327dd2 | [
"CC-BY-4.0"
] | null | null | null | # Декодировать сообщение
def decode(cr_message, key):
message = []
cr_message = cr_message.split()
key = key.split()
for i in range(0, len(cr_message)):
message.append(chr(int(cr_message[i], 16) ^ int(key[i], 16)))
return ''.join(message)
# Закодировать сообщение
def encode(message, key):
... | 33.385965 | 106 | 0.669995 |
624e80fc1c9cf63ee33172055c4b6595eb22ccac | 5,899 | py | Python | dataset.py | cxqj/46-DeblurGANv2 | 967516534a1d2b833ff9e6558773064fa471353c | [
"BSD-3-Clause"
] | null | null | null | dataset.py | cxqj/46-DeblurGANv2 | 967516534a1d2b833ff9e6558773064fa471353c | [
"BSD-3-Clause"
] | null | null | null | dataset.py | cxqj/46-DeblurGANv2 | 967516534a1d2b833ff9e6558773064fa471353c | [
"BSD-3-Clause"
] | null | null | null | import os
from copy import deepcopy
from functools import partial
from glob import glob
from hashlib import sha1
from typing import Callable, Iterable, Optional, Tuple
import cv2
import numpy as np
from glog import logger
from joblib import Parallel, cpu_count, delayed
from skimage.io import imread
from torch.utils.da... | 39.858108 | 203 | 0.598576 |
8589e7c85ce275b8a9eebb39b303c738abe26160 | 206 | py | Python | webapp/main/tests.py | joepetrini/bike-counter | e22190d7225ee54e7327efe43861f85c49c0bbd7 | [
"MIT"
] | 5 | 2015-01-09T00:54:43.000Z | 2021-06-16T20:46:45.000Z | webapp/main/tests.py | joepetrini/bike-counter | e22190d7225ee54e7327efe43861f85c49c0bbd7 | [
"MIT"
] | 4 | 2015-06-30T12:04:22.000Z | 2017-02-08T00:11:19.000Z | webapp/main/tests.py | joepetrini/bike-counter | e22190d7225ee54e7327efe43861f85c49c0bbd7 | [
"MIT"
] | 2 | 2015-01-07T02:46:27.000Z | 2015-07-01T19:43:03.000Z | from django.test import TestCase
from .models import Value, ValueSet
class ValidateSingleDefaultValue(TestCase):
def setUp(self):
pass
def test_single_default(self):
pass | 18.727273 | 43 | 0.68932 |
b0124490c838bfb3ada5cada52cced29f07bd0b3 | 3,059 | py | Python | VisionTransformersRobustness/VisionTransformersRobustness/TransformerConfigs.py | bergermeister/ViTRobust | f7ffa59978ad0dd49492b11ee05142b058c7078f | [
"BSD-3-Clause"
] | 6 | 2021-05-10T18:00:17.000Z | 2022-02-25T11:39:33.000Z | VisionTransformersRobustness/VisionTransformersRobustness/TransformerConfigs.py | bergermeister/ViTRobust | f7ffa59978ad0dd49492b11ee05142b058c7078f | [
"BSD-3-Clause"
] | 2 | 2021-05-10T06:02:19.000Z | 2021-05-12T00:22:29.000Z | VisionTransformersRobustness/VisionTransformersRobustness/TransformerConfigs.py | bergermeister/ViTRobust | f7ffa59978ad0dd49492b11ee05142b058c7078f | [
"BSD-3-Clause"
] | 3 | 2021-05-13T10:51:04.000Z | 2021-09-03T07:28:41.000Z | #Original code from: https://github.com/jeonsworld/ViT-pytorch/blob/main/models/configs.py
import ml_collections
def get_testing():
"""Returns a minimal configuration for testing."""
config = ml_collections.ConfigDict()
config.patches = ml_collections.ConfigDict({'size': (16, 16)})
config.hidd... | 33.25 | 91 | 0.690749 |
232ae95c9ceab55fd3915149ed5dd8892c51c6f9 | 683 | py | Python | tictactoe/use_cases/play.py | pitzer42/nano_tcg | c984b253b8a53a707460aac21c10f140d16d902e | [
"MIT"
] | 1 | 2020-09-30T21:03:37.000Z | 2020-09-30T21:03:37.000Z | tictactoe/use_cases/play.py | pitzer42/nano_tcg | c984b253b8a53a707460aac21c10f140d16d902e | [
"MIT"
] | null | null | null | tictactoe/use_cases/play.py | pitzer42/nano_tcg | c984b253b8a53a707460aac21c10f140d16d902e | [
"MIT"
] | null | null | null | from gloop.entities.player import Player
from tictactoe.adapters.client_channel import TicTacToeClientChannel as Client
from tictactoe.entities.match import TicTacToeMatch
from tictactoe.repositories.match import TicTacToeMatchRepository
class Play:
def __init__(self, client: Client, matches: TicTacToeMatchRepos... | 35.947368 | 78 | 0.756955 |
5d2ed891ad0518665fb95d0061ce1148c9b19428 | 816 | py | Python | src/yoloannotator/image.py | s1n7ax/partially-annotator | 3bc53e3cbdd49dab871bd9fbbf59eabfb90d31c5 | [
"MIT"
] | null | null | null | src/yoloannotator/image.py | s1n7ax/partially-annotator | 3bc53e3cbdd49dab871bd9fbbf59eabfb90d31c5 | [
"MIT"
] | null | null | null | src/yoloannotator/image.py | s1n7ax/partially-annotator | 3bc53e3cbdd49dab871bd9fbbf59eabfb90d31c5 | [
"MIT"
] | null | null | null | import cv2
class Image:
def __init__(self, img_path):
self.img_path = img_path
self.img = None
def get_path(self):
return self.img_path
def get_size(self):
h, w, _ = self.get_image().shape
return [w, h]
def get_blob(self, blob_width=None, blob_height=None):
... | 20.923077 | 58 | 0.540441 |
3ede22ffbf5665671022fa2377fb08701d029bb9 | 3,938 | py | Python | utils/plot_confusion_matrix.py | tinvukhac/learned-spatial-join | d52967fbfd506829bdb92719dc80b042a8119b7d | [
"Apache-2.0"
] | 6 | 2021-12-17T22:19:25.000Z | 2022-03-17T23:35:04.000Z | utils/plot_confusion_matrix.py | tinvukhac/sjml-resources | f5805f726ccfa628c2dc20ad42eb8262f80bee94 | [
"Apache-2.0"
] | null | null | null | utils/plot_confusion_matrix.py | tinvukhac/sjml-resources | f5805f726ccfa628c2dc20ad42eb8262f80bee94 | [
"Apache-2.0"
] | 2 | 2021-01-26T04:17:43.000Z | 2021-02-16T16:10:13.000Z | import numpy as np
import pandas as pd
from sklearn.metrics import confusion_matrix, ConfusionMatrixDisplay
import matplotlib.pyplot as plt
import itertools
from mpl_toolkits.axes_grid1 import ImageGrid
def plot_two_matrices(confusion_matrix_values, titles):
classes = ['BNLJ', 'PBSM', 'DJ', 'RepJ']
fig = pl... | 35.477477 | 107 | 0.620366 |
ffb02e8120ed999cc83374795d167a341db659d3 | 18,007 | py | Python | model.py | dingyunxing/James-code-paradise | 688a8e6c8b569bacb6ac9f6754f43a5a3a7eba7a | [
"MIT"
] | null | null | null | model.py | dingyunxing/James-code-paradise | 688a8e6c8b569bacb6ac9f6754f43a5a3a7eba7a | [
"MIT"
] | null | null | null | model.py | dingyunxing/James-code-paradise | 688a8e6c8b569bacb6ac9f6754f43a5a3a7eba7a | [
"MIT"
] | null | null | null | '''This program aims to build a multiple regression model
based on a given CSV file.
The whole project implementation by top-down design.
It includes the model construction and the prediction.
Main functions includes:
1.Open csv file and read it, all variables should be int or float.
2.Define one colu... | 34.762548 | 84 | 0.605376 |
9c5c43ab4a24df83bfadd5744e46aafdb6262f0b | 10,125 | py | Python | hybrid/battery.py | NREL/HOPP | 824334df055d897d38c055e8b9197f478bac2cb6 | [
"BSD-3-Clause"
] | 3 | 2021-03-10T20:03:42.000Z | 2022-03-18T17:10:04.000Z | hybrid/battery.py | NREL/HOPP | 824334df055d897d38c055e8b9197f478bac2cb6 | [
"BSD-3-Clause"
] | 14 | 2020-12-28T22:32:07.000Z | 2022-03-17T15:33:04.000Z | hybrid/battery.py | NREL/HOPP | 824334df055d897d38c055e8b9197f478bac2cb6 | [
"BSD-3-Clause"
] | 8 | 2021-01-19T02:39:01.000Z | 2022-01-31T18:04:39.000Z | from typing import Sequence
import PySAM.BatteryStateful as BatteryModel
import PySAM.BatteryTools as BatteryTools
import PySAM.Singleowner as Singleowner
from hybrid.power_source import *
class Battery_Outputs:
def __init__(self, n_timesteps):
""" Class of stateful battery outputs
"""
... | 41.158537 | 113 | 0.645827 |
ac5016e29213301a21d414af36f73a192e757f39 | 17,946 | py | Python | zerver/tests/test_message_edit_notifications.py | bongjlee/zulip | dc95d6e5ca320a241b569b43ca970196953c73d4 | [
"Apache-2.0"
] | null | null | null | zerver/tests/test_message_edit_notifications.py | bongjlee/zulip | dc95d6e5ca320a241b569b43ca970196953c73d4 | [
"Apache-2.0"
] | null | null | null | zerver/tests/test_message_edit_notifications.py | bongjlee/zulip | dc95d6e5ca320a241b569b43ca970196953c73d4 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from typing import Any, Dict, Mapping, Union
import mock
from django.utils.timezone import now as timezone_now
from zerver.lib.actions import (
get_client,
)
from zerver.lib.test_classes import (
ZulipTestCase,
)
from zerver.models import (
get_stream_recipient,
Subscriptio... | 34.914397 | 96 | 0.627549 |
3f83426018116f6ddbe53e4f8528b29b81081dab | 203 | py | Python | IVTp/2014/SOBOLEV_M_V/task_5_24.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTp/2014/SOBOLEV_M_V/task_5_24.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | IVTp/2014/SOBOLEV_M_V/task_5_24.py | YukkaSarasti/pythonintask | eadf4245abb65f4400a3bae30a4256b4658e009c | [
"Apache-2.0"
] | null | null | null | import random
print("Программа случайным образом отображает название одной из шахматных фигур \n\n"+random.choice(['пешка','слон','конь', 'ладья', 'ферзь','король']))
input ("Нажмите Enter для выхода.")
| 50.75 | 152 | 0.738916 |
d746a2cf56f6d60212e224e7557f4af3f39f0206 | 12,324 | py | Python | src/tests/biblerAPI_test.py | badbarde/bibler-server | b9a8faf21127e0d2678f4411ce16760b4fe4602f | [
"MIT"
] | null | null | null | src/tests/biblerAPI_test.py | badbarde/bibler-server | b9a8faf21127e0d2678f4411ce16760b4fe4602f | [
"MIT"
] | null | null | null | src/tests/biblerAPI_test.py | badbarde/bibler-server | b9a8faf21127e0d2678f4411ce16760b4fe4602f | [
"MIT"
] | null | null | null | import json
import logging
import os
from datetime import datetime
import bibler.biblerAPI as biblerAPI
import pandas as pd
import pytest
from bibler.biblerAPI import Session, bibler
from bibler.dataclasses.BorrowingUser import BorrowingUser
from dateutil.relativedelta import relativedelta
from fastapi.testclient impo... | 28.461894 | 93 | 0.58739 |
6764b6347f0a78681fb6ecb4247b0c8499b3b305 | 398 | py | Python | python/perspective/perspective/table/__init__.py | sebinsua/perspective | 2c19c5fa0046597e30ec780ae08655767c5253d4 | [
"Apache-2.0"
] | null | null | null | python/perspective/perspective/table/__init__.py | sebinsua/perspective | 2c19c5fa0046597e30ec780ae08655767c5253d4 | [
"Apache-2.0"
] | null | null | null | python/perspective/perspective/table/__init__.py | sebinsua/perspective | 2c19c5fa0046597e30ec780ae08655767c5253d4 | [
"Apache-2.0"
] | null | null | null | # *****************************************************************************
#
# Copyright (c) 2019, the Perspective Authors.
#
# This file is part of the Perspective library, distributed under the terms of
# the Apache License 2.0. The full license can be found in the LICENSE file.
#
from .table import Table
from ... | 33.166667 | 79 | 0.605528 |
58ceeccf2986eaf160b3038ba95411836add39cd | 2,168 | py | Python | MultiUART.py | tonbut/python-multiuart | 63e45ee59f7e5e4542689a05104bb2445369e4c5 | [
"MIT"
] | 10 | 2018-07-21T19:18:07.000Z | 2022-02-04T19:56:01.000Z | MultiUART.py | tonbut/python-multiuart | 63e45ee59f7e5e4542689a05104bb2445369e4c5 | [
"MIT"
] | null | null | null | MultiUART.py | tonbut/python-multiuart | 63e45ee59f7e5e4542689a05104bb2445369e4c5 | [
"MIT"
] | null | null | null | import spidev
import time
class MultiUART:
spi=None
uart=None
def __init__(self,UART,SPIDivider):
self.uart=UART
spi = spidev.SpiDev()
spi.open(0,0)
self.spi=spi
spi.lsbfirst=False
#div64 = ??? 250Mhz/64 = 4000000
spi.max_speed_hz=250000000/SPIDivider
self.spi.cshigh=False
spi.loop=False
#sp... | 21.465347 | 80 | 0.659133 |
1f3380c942896c7571bee26f2a41900910f13933 | 304 | py | Python | ninja/__init__.py | duplxey/django-ninja | 7e0aed29a401d26942a6c95f6a1559dd3ed83aea | [
"MIT"
] | 1 | 2021-07-10T02:23:15.000Z | 2021-07-10T02:23:15.000Z | ninja/__init__.py | duplxey/django-ninja | 7e0aed29a401d26942a6c95f6a1559dd3ed83aea | [
"MIT"
] | null | null | null | ninja/__init__.py | duplxey/django-ninja | 7e0aed29a401d26942a6c95f6a1559dd3ed83aea | [
"MIT"
] | null | null | null | """Django Ninja - Fast Django REST framework"""
__version__ = "0.10.1"
from ninja.main import NinjaAPI
from ninja.params import Query, Path, Header, Cookie, Body, Form, File
from ninja.router import Router
from ninja.schema import Schema
from ninja.files import UploadedFile
from pydantic import Field
| 27.636364 | 70 | 0.786184 |
c7ec295458debb2a2925457a1b8a07c86ca6877e | 1,200 | py | Python | scripts/type_extractor/type_extractor/utils.py | mehrdad-shokri/retdec | a82f16e97b163afe789876e0a819489c5b9b358e | [
"MIT",
"Zlib",
"BSD-3-Clause"
] | 4,816 | 2017-12-12T18:07:09.000Z | 2019-04-17T02:01:04.000Z | scripts/type_extractor/type_extractor/utils.py | mehrdad-shokri/retdec | a82f16e97b163afe789876e0a819489c5b9b358e | [
"MIT",
"Zlib",
"BSD-3-Clause"
] | 514 | 2017-12-12T18:22:52.000Z | 2019-04-16T16:07:11.000Z | scripts/type_extractor/type_extractor/utils.py | mehrdad-shokri/retdec | a82f16e97b163afe789876e0a819489c5b9b358e | [
"MIT",
"Zlib",
"BSD-3-Clause"
] | 579 | 2017-12-12T18:38:02.000Z | 2019-04-11T13:32:53.000Z | """Utilities."""
import logging
import os
def get_files_with_suffix_from_all_paths(paths, suffix=''):
"""For all paths returns path if it's file.
Otherwise recursively walks path and returns all files with given suffix.
"""
for path in paths:
for f in get_files_with_suffix_from_path(path, suf... | 29.268293 | 82 | 0.645833 |
f8431f9b94f30129fe3782b70aecabc5d806f312 | 1,550 | py | Python | Tuplas.py | vnnstar/Python-Mundo3-CursoEmVideo | cfb51a39f0240857469473a1f21970d3fb4b6076 | [
"MIT"
] | null | null | null | Tuplas.py | vnnstar/Python-Mundo3-CursoEmVideo | cfb51a39f0240857469473a1f21970d3fb4b6076 | [
"MIT"
] | null | null | null | Tuplas.py | vnnstar/Python-Mundo3-CursoEmVideo | cfb51a39f0240857469473a1f21970d3fb4b6076 | [
"MIT"
] | null | null | null | lanche = 'Hambúrguer', 'Suco', 'Pizza', 'Pudim'
# tuplas são representadas entre parenteses ('Hambúrguer', 'Suco', 'Pizza',
# 'Pudim') porém o python identifica que é uma tupla mesmo sem parenteses
print(lanche)
print(lanche[1]) # mostra o valor na posição 1
print(lanche[:2]) # vai do inicio até o 1, pois ele ig... | 31 | 78 | 0.674194 |
ccf2ddfa5a74a8fb3df5ec92f991a5d23b65a8de | 11,223 | py | Python | src/pretalx/orga/views/review.py | jjasghar/pretalx | c5041ec4001c5ef66cdb48e718789a086de280a2 | [
"Apache-2.0"
] | null | null | null | src/pretalx/orga/views/review.py | jjasghar/pretalx | c5041ec4001c5ef66cdb48e718789a086de280a2 | [
"Apache-2.0"
] | null | null | null | src/pretalx/orga/views/review.py | jjasghar/pretalx | c5041ec4001c5ef66cdb48e718789a086de280a2 | [
"Apache-2.0"
] | null | null | null | from django.contrib import messages
from django.db import transaction
from django.db.models import Count, Exists, OuterRef, Q
from django.shortcuts import get_object_or_404, redirect
from django.utils.functional import cached_property
from django.utils.translation import ugettext_lazy as _
from django.views.generic imp... | 37.661074 | 171 | 0.60973 |
fe330300a671b90f899e8970ed42c6a51dec40c1 | 11,486 | py | Python | pl_bolts/models/self_supervised/amdim/networks.py | jfrancis71/pytorch-lightning-bolts | 8a4cf8f61644c28d6df54ccffe3a52d6f5fce5a6 | [
"Apache-2.0"
] | null | null | null | pl_bolts/models/self_supervised/amdim/networks.py | jfrancis71/pytorch-lightning-bolts | 8a4cf8f61644c28d6df54ccffe3a52d6f5fce5a6 | [
"Apache-2.0"
] | null | null | null | pl_bolts/models/self_supervised/amdim/networks.py | jfrancis71/pytorch-lightning-bolts | 8a4cf8f61644c28d6df54ccffe3a52d6f5fce5a6 | [
"Apache-2.0"
] | null | null | null | import math
import numpy as np
import torch
import torch.nn.functional as F
from torch import nn
class AMDIMEncoder(nn.Module):
def __init__(self, dummy_batch, num_channels=3, encoder_feature_dim=64, embedding_fx_dim=512,
conv_block_depth=3, encoder_size=32, use_bn=False):
super().__init... | 39.068027 | 104 | 0.578705 |
b872ab723e31a0f4bc1a6c1d6483dedf8658cb78 | 2,167 | py | Python | python/paddle/fluid/dygraph/dygraph_to_static/call_transformer.py | slf12/Paddle | fa43d74a3a16ac696db5dc893c9a7b1c6913dc85 | [
"Apache-2.0"
] | 1 | 2020-05-02T00:00:20.000Z | 2020-05-02T00:00:20.000Z | python/paddle/fluid/dygraph/dygraph_to_static/call_transformer.py | MaJun-cn/Paddle | 0ec3a42e9740a5f5066053bb49a923d538eba24a | [
"Apache-2.0"
] | null | null | null | python/paddle/fluid/dygraph/dygraph_to_static/call_transformer.py | MaJun-cn/Paddle | 0ec3a42e9740a5f5066053bb49a923d538eba24a | [
"Apache-2.0"
] | 4 | 2020-07-27T13:24:03.000Z | 2020-08-06T08:20:32.000Z | # Copyright (c) 2020 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... | 34.951613 | 91 | 0.708814 |
b3304b9e2c1161e4e5489e95f9f2278bde95d7b0 | 1,630 | py | Python | run_all.py | abhishakvarshney/movie_rating_bot | 767d78a074b520f42047ddfca35a6591c55f7fc4 | [
"Apache-2.0"
] | 1 | 2019-11-12T08:19:35.000Z | 2019-11-12T08:19:35.000Z | run_all.py | abhishakvarshney/movie_rating_bot | 767d78a074b520f42047ddfca35a6591c55f7fc4 | [
"Apache-2.0"
] | null | null | null | run_all.py | abhishakvarshney/movie_rating_bot | 767d78a074b520f42047ddfca35a6591c55f7fc4 | [
"Apache-2.0"
] | 2 | 2019-11-15T17:52:44.000Z | 2019-11-16T09:24:01.000Z | import argparse
import logging
import rasa.core.run
from rasa.core.channels.console import CmdlineInput
from rasa.core.agent import Agent
from rasa.core.interpreter import RasaNLUInterpreter
from rasa.core.tracker_store import MongoTrackerStore
from rasa.core.training import interactive
from rasa.core.utils import End... | 29.636364 | 73 | 0.671779 |
da8e7067e9d0bdb821245fc570af6cf1920ab616 | 1,002 | py | Python | fastapi_workshop/models/customer.py | jbeigbeder/fastapi-workshop | 852a8373c325f3177f2a3e5d572c8ded6c7be73e | [
"MIT"
] | null | null | null | fastapi_workshop/models/customer.py | jbeigbeder/fastapi-workshop | 852a8373c325f3177f2a3e5d572c8ded6c7be73e | [
"MIT"
] | null | null | null | fastapi_workshop/models/customer.py | jbeigbeder/fastapi-workshop | 852a8373c325f3177f2a3e5d572c8ded6c7be73e | [
"MIT"
] | null | null | null | """database models: customer and order"""
from sqlalchemy import Column, Integer, String, Boolean, Date, ForeignKey
from sqlalchemy.orm import relationship
from ..database import Base
class Order(Base):
"""Order model"""
__tablename__ = 'order'
id = Column(Integer, primary_key=True, index=True)
date... | 32.322581 | 73 | 0.651697 |
0a4a2a7e1ea6afd9ddca97513aa1baa8382e22fa | 13,725 | py | Python | cryptoapis/model/get_transaction_details_by_transaction_id_from_callback_ribsbc.py | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | c59ebd914850622b2c6500c4c30af31fb9cecf0e | [
"MIT"
] | 5 | 2021-05-17T04:45:03.000Z | 2022-03-23T12:51:46.000Z | cryptoapis/model/get_transaction_details_by_transaction_id_from_callback_ribsbc.py | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | c59ebd914850622b2c6500c4c30af31fb9cecf0e | [
"MIT"
] | null | null | null | cryptoapis/model/get_transaction_details_by_transaction_id_from_callback_ribsbc.py | Crypto-APIs/Crypto_APIs_2.0_SDK_Python | c59ebd914850622b2c6500c4c30af31fb9cecf0e | [
"MIT"
] | 2 | 2021-06-02T07:32:26.000Z | 2022-02-12T02:36:23.000Z | """
CryptoAPIs
Crypto APIs 2.0 is a complex and innovative infrastructure layer that radically simplifies the development of any Blockchain and Crypto related applications. Organized around REST, Crypto APIs 2.0 can assist both novice Bitcoin/Ethereum enthusiasts and crypto experts with the development of thei... | 46.525424 | 484 | 0.601311 |
de596b0c3eac2fb63574d187f4b746a78dca812f | 1,131 | py | Python | gravis3d/generator.py | rajangarhwal/Gravis3D | c1b1a3a712ef6bba82c7cd4c98be4e8ffaac0d29 | [
"MIT"
] | 1 | 2020-07-30T05:54:08.000Z | 2020-07-30T05:54:08.000Z | gravis3d/generator.py | rajangarhwal/Gravis3D | c1b1a3a712ef6bba82c7cd4c98be4e8ffaac0d29 | [
"MIT"
] | null | null | null | gravis3d/generator.py | rajangarhwal/Gravis3D | c1b1a3a712ef6bba82c7cd4c98be4e8ffaac0d29 | [
"MIT"
] | null | null | null | from body import Body
from numpy.random import normal
from vpython import *
class Nbodies:
"""
A class to implement all bodies.
"""
def __init__(self, N = None):
self.N = N or 10
x,y,z = normal(0,1e11,N), normal(0,1e11,N), normal(0,1e11,N)
vx,vy,vz = normal(0,1e7,N), normal(0,1e... | 33.264706 | 109 | 0.519894 |
4360e6477545e7994163aff91f910bbb1a365112 | 1,147 | py | Python | world.py | ctII/somegame | d49aaed0b23abe99deebe9ad80cb23b05dd5a75d | [
"MIT"
] | null | null | null | world.py | ctII/somegame | d49aaed0b23abe99deebe9ad80cb23b05dd5a75d | [
"MIT"
] | null | null | null | world.py | ctII/somegame | d49aaed0b23abe99deebe9ad80cb23b05dd5a75d | [
"MIT"
] | null | null | null | from terrainBarrier import terrainBarrier
#entire terrain system needs to be redone, getTerrainAt is currently just bruteforcing
class world:
def __init__(self, width, height):
self.entities = []
#terrible implementation of terrain
self.terrain = []
for i in range(0, width):
... | 29.410256 | 86 | 0.622493 |
ac581006440aa53709f1602d86be8e7c0dd67ab7 | 391 | py | Python | vozdocu/wsgi.py | Vido/voxdocu | 912f2e012af5280467fb9d83641f206e9d921145 | [
"Apache-2.0"
] | 7 | 2020-12-08T17:06:51.000Z | 2022-01-11T19:35:10.000Z | vozdocu/wsgi.py | Vido/zecontinha | 912f2e012af5280467fb9d83641f206e9d921145 | [
"Apache-2.0"
] | 2 | 2020-06-05T19:38:58.000Z | 2020-06-13T02:30:31.000Z | vozdocu/wsgi.py | Vido/voxdocu | 912f2e012af5280467fb9d83641f206e9d921145 | [
"Apache-2.0"
] | 6 | 2020-12-08T19:35:10.000Z | 2021-11-19T19:22:33.000Z | """
WSGI config for vozdocu project.
It exposes the WSGI callable as a module-level variable named ``application``.
For more information on this file, see
https://docs.djangoproject.com/en/2.0/howto/deployment/wsgi/
"""
import os
from django.core.wsgi import get_wsgi_application
os.environ.setdefault("DJANGO_SETTI... | 23 | 78 | 0.785166 |
3839998dcd8288346ec307cc88e34ed3a7362e6f | 3,644 | py | Python | bindings/python/ensmallen/datasets/string/microgenomatesgroupbacteriumrifcsplowo201full4613.py | AnacletoLAB/ensmallen_graph | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 5 | 2021-02-17T00:44:45.000Z | 2021-08-09T16:41:47.000Z | bindings/python/ensmallen/datasets/string/microgenomatesgroupbacteriumrifcsplowo201full4613.py | AnacletoLAB/ensmallen_graph | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 18 | 2021-01-07T16:47:39.000Z | 2021-08-12T21:51:32.000Z | bindings/python/ensmallen/datasets/string/microgenomatesgroupbacteriumrifcsplowo201full4613.py | AnacletoLAB/ensmallen | b2c1b18fb1e5801712852bcc239f239e03076f09 | [
"MIT"
] | 3 | 2021-01-14T02:20:59.000Z | 2021-08-04T19:09:52.000Z | """
This file offers the methods to automatically retrieve the graph Microgenomates group bacterium RIFCSPLOWO2_01_FULL_46_13.
The graph is automatically retrieved from the STRING repository.
References
---------------------
Please cite the following if you use the data:
```bib
@article{szklarczyk2019string,
t... | 34.704762 | 223 | 0.691273 |
29f3a39f90d250efacebb9a39a35868843ba4bed | 6,171 | py | Python | nf_core/bump_version.py | matrulda/tools | b48bce26b7da46cb71e4a8f78b68d9ceac579ca6 | [
"MIT"
] | 1 | 2019-08-14T16:20:04.000Z | 2019-08-14T16:20:04.000Z | nf_core/bump_version.py | matrulda/tools | b48bce26b7da46cb71e4a8f78b68d9ceac579ca6 | [
"MIT"
] | 2 | 2020-02-27T11:17:44.000Z | 2020-12-09T05:45:14.000Z | nf_core/bump_version.py | matrulda/tools | b48bce26b7da46cb71e4a8f78b68d9ceac579ca6 | [
"MIT"
] | 1 | 2020-12-07T12:32:00.000Z | 2020-12-07T12:32:00.000Z | #!/usr/bin/env python
"""Bumps the version number in all appropriate files for
a nf-core pipeline.
"""
import logging
import os
import re
import rich.console
import sys
import nf_core.utils
log = logging.getLogger(__name__)
stderr = rich.console.Console(stderr=True, force_terminal=nf_core.utils.rich_force_colors())
... | 35.0625 | 130 | 0.580943 |
f2a122adac59d6c0436c413e9896b78d0f36e581 | 3,121 | py | Python | notifyore/notifiers/growl.py | ptone/notifyore | 43b5aad98f2a5e49f7d2b5ed0bfbf6de0ef3400b | [
"BSD-2-Clause-FreeBSD"
] | 3 | 2015-11-05T08:57:03.000Z | 2016-07-17T18:11:06.000Z | notifyore/notifiers/growl.py | ptone/notifyore | 43b5aad98f2a5e49f7d2b5ed0bfbf6de0ef3400b | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | notifyore/notifiers/growl.py | ptone/notifyore | 43b5aad98f2a5e49f7d2b5ed0bfbf6de0ef3400b | [
"BSD-2-Clause-FreeBSD"
] | null | null | null | import hashlib
import os
import time
import urllib2
import tempfile
import Growl
from notifyore.notifiers import BaseNotifier
from notifyore.utils import get_convore_logo
def get_growl_image(url):
cache_folder = os.path.join(tempfile.gettempdir(),'profile image cache')
if not os.path.exists(cache_folder):
... | 33.202128 | 93 | 0.576097 |
dd010e05dc07be04581b3fdcd00e124d1bb8a260 | 532 | py | Python | streams/migrations/0002_auto_20200724_2202.py | danielpomas/church_site | 69d33f3908e4e8b0fdbde9ebb8c14f72050f9efe | [
"MIT"
] | null | null | null | streams/migrations/0002_auto_20200724_2202.py | danielpomas/church_site | 69d33f3908e4e8b0fdbde9ebb8c14f72050f9efe | [
"MIT"
] | 44 | 2020-05-13T20:15:26.000Z | 2022-03-04T02:58:58.000Z | streams/migrations/0002_auto_20200724_2202.py | danielpomas/church_site | 69d33f3908e4e8b0fdbde9ebb8c14f72050f9efe | [
"MIT"
] | 4 | 2020-06-05T17:59:52.000Z | 2021-02-06T19:09:43.000Z | # Generated by Django 3.0.8 on 2020-07-25 02:02
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('streams', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='stream',
name='audio_views',
... | 22.166667 | 49 | 0.567669 |
74ee55700a984a4f4f449e794eee0ff2e1d67ebe | 6,661 | py | Python | ddtrace/pin.py | tancnle/dd-trace-py | 4313f388383b90ccf2bcbca9d7ef1c400c827ece | [
"BSD-3-Clause"
] | null | null | null | ddtrace/pin.py | tancnle/dd-trace-py | 4313f388383b90ccf2bcbca9d7ef1c400c827ece | [
"BSD-3-Clause"
] | null | null | null | ddtrace/pin.py | tancnle/dd-trace-py | 4313f388383b90ccf2bcbca9d7ef1c400c827ece | [
"BSD-3-Clause"
] | null | null | null | import ddtrace
from .internal.logger import get_logger
from .vendor import wrapt
log = get_logger(__name__)
# To set attributes on wrapt proxy objects use this prefix:
# http://wrapt.readthedocs.io/en/latest/wrappers.html
_DD_PIN_NAME = '_datadog_pin'
_DD_PIN_PROXY_NAME = '_self_' + _DD_PIN_NAME
class Pin(object... | 36.398907 | 115 | 0.61192 |
3cef4b6d65dda7c1b7cff5ed70ee66301d3182ce | 409 | py | Python | Desafios/Ex-054.py | LuckyCards/Curso-Python3 | b39c7b2645220c71c35012f16c102428053fee25 | [
"MIT"
] | 1 | 2021-04-06T16:14:43.000Z | 2021-04-06T16:14:43.000Z | Desafios/Ex-054.py | LuckyCards/Curso-Python3 | b39c7b2645220c71c35012f16c102428053fee25 | [
"MIT"
] | null | null | null | Desafios/Ex-054.py | LuckyCards/Curso-Python3 | b39c7b2645220c71c35012f16c102428053fee25 | [
"MIT"
] | null | null | null | from datetime import date
print(f'\033[33m{"—"*30:^30}\033[m')
print(f'\033[36m{"EXERCÍCIO Nº 54":^30}\033[m')
print(f'\033[33m{"—"*30:^30}\033[m')
maior = 0
menor = 0
for x in range(0, 8):
ano = int(input('Digite seu ano de nascimento: '))
if date.today().year - ano > 21:
maior += 1
else:
m... | 31.461538 | 79 | 0.606357 |
2d0c79aa8fe2074f411275650271f6bc0c2de0cc | 765 | py | Python | exercices/questao06.py | LBarros77/Python | 283b383d9d14c8d7b907b80f03f7cdc5dbd1e8af | [
"MIT"
] | null | null | null | exercices/questao06.py | LBarros77/Python | 283b383d9d14c8d7b907b80f03f7cdc5dbd1e8af | [
"MIT"
] | null | null | null | exercices/questao06.py | LBarros77/Python | 283b383d9d14c8d7b907b80f03f7cdc5dbd1e8af | [
"MIT"
] | null | null | null | def media(x, y, z = 2):
return (float(x) + float(y) / z)
calender = {
1: "Janeiro",
2: "Fevereiro",
3: "Março",
4: "Abril",
5: "Maio",
6: "Junho",
7: "Julho",
8: "Agosto",
9: "Setembro",
10: "Outubro",
11: "Novembro",
12: "Dezembro",
}
# temperatura max e min
print(... | 24.677419 | 91 | 0.573856 |
313b55253d4dfbb73b3125f12ebd15ecae436289 | 7,702 | py | Python | DeepSpeech/bin/import_swb.py | Kutim/Run-Black-Box-Audio | 6564f255f574ef63eeb24688773f03517c124259 | [
"MIT"
] | null | null | null | DeepSpeech/bin/import_swb.py | Kutim/Run-Black-Box-Audio | 6564f255f574ef63eeb24688773f03517c124259 | [
"MIT"
] | 1 | 2019-07-21T13:22:28.000Z | 2019-07-21T13:22:28.000Z | DeepSpeech/bin/import_swb.py | Kutim/Run-Black-Box-Audio | 6564f255f574ef63eeb24688773f03517c124259 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from __future__ import absolute_import, division, print_function
# Make sure we can import stuff from util/
# This script needs to be run from the root of the DeepSpeech repository
import sys
import os
sys.path.insert(1, os.path.join(sys.path[0], '..'))
import fnmatch
import pandas
import subpro... | 40.114583 | 132 | 0.655025 |
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