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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
a6e25374baefe42a37c612e4cbe2ecea29c0b05d | 374 | py | Python | data_view.py | RitvikDayal/D-VAT | 86a093d07b0f930aeb090638b2192a60776f47c0 | [
"MIT"
] | 2 | 2020-06-20T10:15:50.000Z | 2021-02-12T17:16:24.000Z | data_view.py | RitvikDayal/D-VAT | 86a093d07b0f930aeb090638b2192a60776f47c0 | [
"MIT"
] | null | null | null | data_view.py | RitvikDayal/D-VAT | 86a093d07b0f930aeb090638b2192a60776f47c0 | [
"MIT"
] | null | null | null | from tkinter import *
from pandastable import Table, TableModel
bg_color = '#394b5c'
'''-------------------------------Window Configuration----------------------------------------'''
root = Tk()
root.title('Data Visualizer and Analyzer')
root.iconbitmap(r'icon.ico')
root.config(bg=bg_color)
root.resizable(width=False... | 20.777778 | 97 | 0.606952 |
035f391fceb2eff64422f1ecca644c6055289b97 | 3,508 | py | Python | src/manual_solve.py | multinucliated/ARC | 7c545605eb25ba3d76c2ba12b23b26d548a31373 | [
"Apache-2.0"
] | null | null | null | src/manual_solve.py | multinucliated/ARC | 7c545605eb25ba3d76c2ba12b23b26d548a31373 | [
"Apache-2.0"
] | null | null | null | src/manual_solve.py | multinucliated/ARC | 7c545605eb25ba3d76c2ba12b23b26d548a31373 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
import json
import os
import re
import numpy as np
### YOUR CODE HERE: write at least three functions which solve
### specific tasks by transforming the input x and returning the
### result. Name them according to the task ID as in the three
### examples below. Delete the three examples. The tasks... | 29.233333 | 92 | 0.623432 |
7bff0bae150487a80d4ae001f5102c31b01d36b3 | 197 | py | Python | ex11.py | PhyuAye/Python_exercises-1 | 3a4049d7af5d0bb3a13b89f3040c9e26a888fea6 | [
"MIT"
] | null | null | null | ex11.py | PhyuAye/Python_exercises-1 | 3a4049d7af5d0bb3a13b89f3040c9e26a888fea6 | [
"MIT"
] | null | null | null | ex11.py | PhyuAye/Python_exercises-1 | 3a4049d7af5d0bb3a13b89f3040c9e26a888fea6 | [
"MIT"
] | 1 | 2018-06-26T08:29:44.000Z | 2018-06-26T08:29:44.000Z | print("How old are you?"),
age=input()
print("How tall are you"),
height=input()
print("How much do you weigh"),
weight=input()
print("So, you're %r old,%r tall and %r heavy."%(age,height,weight))
| 24.625 | 68 | 0.670051 |
4f239a0f3ec6d986c16e4f2a0d7305f8c061508e | 1,441 | py | Python | src/decoders/decoder.py | gmum/wica | 8b87531ef89a7c0dadbdcb6cf413bdf7fbb7aa4e | [
"MIT"
] | 7 | 2020-04-29T09:21:07.000Z | 2021-09-02T15:17:36.000Z | src/decoders/decoder.py | gmum/wica | 8b87531ef89a7c0dadbdcb6cf413bdf7fbb7aa4e | [
"MIT"
] | 1 | 2021-09-08T01:44:10.000Z | 2021-09-08T01:44:10.000Z | src/decoders/decoder.py | gmum/wica | 8b87531ef89a7c0dadbdcb6cf413bdf7fbb7aa4e | [
"MIT"
] | 4 | 2021-04-04T15:39:25.000Z | 2022-01-06T12:07:06.000Z | import torch.nn as nn
from torch.nn.modules.container import ModuleList
class Decoder(nn.Module):
def __init__(self, latent_dim, output_dim):
super(Decoder, self).__init__()
self.latent_dim = latent_dim
self.output_dim = output_dim
def forward(self, x):
return NotImplementedEr... | 32.75 | 115 | 0.657183 |
7f790e7d3c6940c1ed053c555df174fb7c5a68ed | 1,614 | py | Python | polyutils/polyconversion.py | HypenauticPulse/HypeCAS | ffe0cf9825c870304875e19b0309ab3cad7f39d2 | [
"MIT"
] | 1 | 2020-06-08T03:05:35.000Z | 2020-06-08T03:05:35.000Z | polyutils/polyconversion.py | HypenauticPulse/HypeCAS | ffe0cf9825c870304875e19b0309ab3cad7f39d2 | [
"MIT"
] | null | null | null | polyutils/polyconversion.py | HypenauticPulse/HypeCAS | ffe0cf9825c870304875e19b0309ab3cad7f39d2 | [
"MIT"
] | null | null | null | def poly_conversion_string(polyarray, var):
polystring = ''
powers = []
for _ in polyarray[0][1]:
powers.append(0.0)
count = 0
for i in polyarray:
if i == [0.0, powers]:
count += 1
if count == len(polyarray):
polystring = '0.0'
else:
for i in pol... | 34.340426 | 86 | 0.385378 |
00bfc8156c688e9f40cfec7b2b0033509c64bf6e | 361 | py | Python | tests/conftest.py | ctxis/wordinserter | a367a310c0ab466eeb1f6d3357543a33cdbf4ecc | [
"MIT"
] | 99 | 2015-06-03T13:24:18.000Z | 2021-11-15T09:30:41.000Z | tests/conftest.py | ctxis/wordinserter | a367a310c0ab466eeb1f6d3357543a33cdbf4ecc | [
"MIT"
] | 13 | 2015-05-26T08:40:00.000Z | 2018-11-01T16:54:42.000Z | tests/conftest.py | ctxis/wordinserter | a367a310c0ab466eeb1f6d3357543a33cdbf4ecc | [
"MIT"
] | 25 | 2015-06-13T08:21:15.000Z | 2021-11-11T21:35:18.000Z | import pathlib
import pytest
from wordinserter import parsers
docs = pathlib.Path(__file__).parent / 'docs'
@pytest.fixture
def docs_dir():
return docs
@pytest.fixture
def html_parser():
return parsers['html']()
@pytest.fixture(params=sorted(docs.glob('*.html')), ids=lambda p: str(p.name))
def html_doc... | 15.695652 | 78 | 0.722992 |
1a411266911a23385907509af9c4415aefca681b | 164 | py | Python | example/config.py | featurehub-io/featurehub-python-sdk | d453c91510629e124b2d0c278f438cc35f0671b7 | [
"MIT"
] | null | null | null | example/config.py | featurehub-io/featurehub-python-sdk | d453c91510629e124b2d0c278f438cc35f0671b7 | [
"MIT"
] | 2 | 2021-09-04T09:00:50.000Z | 2021-11-10T09:14:05.000Z | example/config.py | featurehub-io/featurehub-python-sdk | d453c91510629e124b2d0c278f438cc35f0671b7 | [
"MIT"
] | 1 | 2021-09-28T09:58:17.000Z | 2021-09-28T09:58:17.000Z | edge_url = 'https://zjbisc.demo.featurehub.io'
client_eval_key = 'default/806d0fe8-2842-4d17-9e1f-1c33eedc5f31/wFk8qfmJEkLnkkJ8A8ZPTbgZPHPTJJ*heGuAGL6U8EKOUXbbRCL'
| 54.666667 | 116 | 0.847561 |
37f457ee4aab4fb71c0d9b92c1837da2d8bd7f1c | 898 | py | Python | aim/cli/cli.py | VkoHov/aim | 92567b48437a8c71b4bde3b034fc0e5c61479cf9 | [
"Apache-2.0"
] | 1 | 2021-07-19T19:21:30.000Z | 2021-07-19T19:21:30.000Z | aim/cli/cli.py | VkoHov/aim | 92567b48437a8c71b4bde3b034fc0e5c61479cf9 | [
"Apache-2.0"
] | null | null | null | aim/cli/cli.py | VkoHov/aim | 92567b48437a8c71b4bde3b034fc0e5c61479cf9 | [
"Apache-2.0"
] | null | null | null | import click
from click import core
from aim.engine.repo import AimRepo
from aim.cli.configs import *
from aim.cli.init import commands as init_commands
from aim.cli.experiment import commands as experiment_commands
from aim.cli.version import commands as version_commands
from aim.cli.up import commands as up_command... | 28.967742 | 67 | 0.778396 |
d2ee1f19db9c6ce5e29c1bb970fd6a61e6a7cc2a | 10,022 | py | Python | lib/python/flame/examples/mednist/trainer/role.py | justaugustus/flame | b9e87d4ce6f27e1cd1b8d80470c63e66b14e651c | [
"Apache-2.0"
] | null | null | null | lib/python/flame/examples/mednist/trainer/role.py | justaugustus/flame | b9e87d4ce6f27e1cd1b8d80470c63e66b14e651c | [
"Apache-2.0"
] | null | null | null | lib/python/flame/examples/mednist/trainer/role.py | justaugustus/flame | b9e87d4ce6f27e1cd1b8d80470c63e66b14e651c | [
"Apache-2.0"
] | null | null | null | # Copyright (c) 2021 Cisco Systems, Inc. and 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.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless... | 34.798611 | 97 | 0.567551 |
bfc28b3509c7f9587f41d6ae5f4d8b42341c2258 | 5,841 | py | Python | model_image.py | HumaticsLAB/AttentionBasedMultiModalRNN | 0c060a97cdddf1348938a5f2d456e83e5f8bf887 | [
"MIT"
] | 5 | 2021-09-21T12:32:06.000Z | 2022-03-19T05:15:09.000Z | model_image.py | HumaticsLAB/AttentionBasedMultiModalRNN | 0c060a97cdddf1348938a5f2d456e83e5f8bf887 | [
"MIT"
] | 1 | 2021-11-15T09:14:58.000Z | 2021-11-15T09:15:11.000Z | model_image.py | HumaticsLAB/AttentionBasedMultiModalRNN | 0c060a97cdddf1348938a5f2d456e83e5f8bf887 | [
"MIT"
] | 2 | 2021-09-30T19:22:20.000Z | 2021-10-16T08:33:48.000Z | from utils import resize2d
import torch
import numpy as np
from torch.cuda import init
import torch.nn as nn
import torchvision.models as models
import torch.nn.functional as F
from Inception import Inception
import random
import config
from PIL import Image
device = torch.device(config.DEVICE)
class Encoder(nn.Modul... | 35.186747 | 132 | 0.659305 |
a9e5563c6cbf2531edbbc2e493b483d4500945ea | 17,788 | py | Python | checkerista/.env/Lib/site-packages/django/contrib/admin/filters.py | LybaFatimaNasir/CS311S20PID02 | bc29a8c4c9ee508c74d231c015a57b1ca4dfcb39 | [
"MIT"
] | 15 | 2020-06-04T05:22:47.000Z | 2021-07-06T01:37:57.000Z | checkerista/.env/Lib/site-packages/django/contrib/admin/filters.py | LybaFatimaNasir/CS311S20PID02 | bc29a8c4c9ee508c74d231c015a57b1ca4dfcb39 | [
"MIT"
] | 51 | 2019-10-08T01:53:02.000Z | 2021-06-04T22:02:21.000Z | checkerista/.env/Lib/site-packages/django/contrib/admin/filters.py | LybaFatimaNasir/CS311S20PID02 | bc29a8c4c9ee508c74d231c015a57b1ca4dfcb39 | [
"MIT"
] | 11 | 2019-09-14T20:57:30.000Z | 2022-01-19T17:59:26.000Z | """
This encapsulates the logic for displaying filters in the Django admin.
Filters are specified in models with the "list_filter" option.
Each filter subclass knows how to display a filter for a field that passes a
certain test -- e.g. being a DateField or ForeignKey.
"""
import datetime
from django.contrib.admin.op... | 41.367442 | 117 | 0.638071 |
a3ac3237fda42adf8838d712b54e5563afb4d694 | 2,587 | py | Python | Codes for baseline/Models/SAR.py | zhengcj1/ChID-Dataset | f7d9b7b75cccd50455987a623c898b490e8450f6 | [
"Apache-2.0"
] | 72 | 2019-06-08T13:21:36.000Z | 2019-09-24T04:11:29.000Z | Codes for baseline/Models/SAR.py | a626709452/ChID-Dataset | f7d9b7b75cccd50455987a623c898b490e8450f6 | [
"Apache-2.0"
] | 7 | 2019-06-12T07:12:30.000Z | 2019-10-01T04:11:40.000Z | Codes for baseline/Models/SAR.py | a626709452/ChID-Dataset | f7d9b7b75cccd50455987a623c898b490e8450f6 | [
"Apache-2.0"
] | 31 | 2019-06-27T03:38:18.000Z | 2019-09-24T04:11:16.000Z | import tensorflow as tf
from Models.BasicModel import BasicModel
class Model(BasicModel):
def __init__(self,
learning_rate,
init_word_embed,
init_idiom_embed,
size_embed=200,
num_units=100, # make sure that num_units = size_embed ... | 58.795455 | 130 | 0.636645 |
2117317078fe21c3ba283c50cfd30198d43d9301 | 385 | py | Python | test/meta_learning/generate_ranknet_keras_model.py | zhengjian2322/soln-ml | ceff6c432921df9809f9552aaa1b0bd5a1b7e8d2 | [
"MIT"
] | null | null | null | test/meta_learning/generate_ranknet_keras_model.py | zhengjian2322/soln-ml | ceff6c432921df9809f9552aaa1b0bd5a1b7e8d2 | [
"MIT"
] | null | null | null | test/meta_learning/generate_ranknet_keras_model.py | zhengjian2322/soln-ml | ceff6c432921df9809f9552aaa1b0bd5a1b7e8d2 | [
"MIT"
] | null | null | null | import os
import sys
sys.path.append(os.getcwd())
from solnml.components.meta_learning.algorithm_recomendation.ranknet_advisor import RankNetAdvisor
from solnml.components.utils.constants import MULTICLASS_CLS
if __name__ == "__main__":
# refit ranknet on all datasets
ranker = RankNetAdvisor(task_type=MULTICLA... | 38.5 | 98 | 0.807792 |
f3e5ea2909192800c0c54de06e447943cda21515 | 17,724 | py | Python | matminer/datasets/convenience_loaders.py | rpw199912j/matminer | ac954660f8459ae6070c6b19c691b965de7596c9 | [
"BSD-3-Clause-LBNL"
] | 1 | 2021-03-28T00:26:01.000Z | 2021-03-28T00:26:01.000Z | matminer/datasets/convenience_loaders.py | rpw199912j/matminer | ac954660f8459ae6070c6b19c691b965de7596c9 | [
"BSD-3-Clause-LBNL"
] | null | null | null | matminer/datasets/convenience_loaders.py | rpw199912j/matminer | ac954660f8459ae6070c6b19c691b965de7596c9 | [
"BSD-3-Clause-LBNL"
] | null | null | null | import pandas as pd
from matminer.datasets import load_dataset
# Convenience functions provided to make accessing datasets simpler.
__author__ = "Daniel Dopp <dbdopp@lbl.gov>" \
"Abhinav Ashar <abhinav_ashar@berkeley.edu>"
def load_elastic_tensor(version="2015", include_metadata=False, data_home=None,... | 31.259259 | 81 | 0.657809 |
9bce66a2a1f4089385306fdfed6fa7efd33702ca | 779 | py | Python | descriptor/migrations/0005_auto_20200702_1438.py | alduxx/papirodocker | a1fab0d15ced07c4b03732651cffaa5158c164a4 | [
"Unlicense"
] | null | null | null | descriptor/migrations/0005_auto_20200702_1438.py | alduxx/papirodocker | a1fab0d15ced07c4b03732651cffaa5158c164a4 | [
"Unlicense"
] | null | null | null | descriptor/migrations/0005_auto_20200702_1438.py | alduxx/papirodocker | a1fab0d15ced07c4b03732651cffaa5158c164a4 | [
"Unlicense"
] | null | null | null | # Generated by Django 3.0.7 on 2020-07-02 14:38
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('descriptor', '0004_service_status'),
]
operations = [
migrations.AddField(
model_name='service',
name='iib_service_n... | 26.862069 | 74 | 0.594352 |
6cae14c504b2e85824404230983204b36dcc3e2e | 2,949 | py | Python | flock_numba.py | fywu85/cs267-project | f552888bbd081ec19dff86c64f6389399b76ce3e | [
"MIT"
] | null | null | null | flock_numba.py | fywu85/cs267-project | f552888bbd081ec19dff86c64f6389399b76ce3e | [
"MIT"
] | null | null | null | flock_numba.py | fywu85/cs267-project | f552888bbd081ec19dff86c64f6389399b76ce3e | [
"MIT"
] | null | null | null | import numpy as np
np.random.seed(204)
from numba import jit
import time
import os
import psutil
import argparse
# Instantiate the parser
parser = argparse.ArgumentParser(description='Number of processors.')
parser.add_argument('nproc', nargs='?', type=int, default=4,
help='Number of par... | 32.766667 | 79 | 0.48864 |
e8f1c617510a91f0bdae731d8e744ac24e5af3c3 | 2,838 | py | Python | day_ok/schedule/views/sources.py | bostud/day_ok | 2bcee68252b698f5818808d1766fb3ec3f07fce8 | [
"MIT"
] | null | null | null | day_ok/schedule/views/sources.py | bostud/day_ok | 2bcee68252b698f5818808d1766fb3ec3f07fce8 | [
"MIT"
] | 16 | 2021-02-27T08:36:19.000Z | 2021-04-07T11:43:31.000Z | day_ok/schedule/views/sources.py | bostud/day_ok | 2bcee68252b698f5818808d1766fb3ec3f07fce8 | [
"MIT"
] | null | null | null | from typing import Dict, Any
from ..middleware import authenticated
from django.http import HttpRequest, HttpResponseRedirect
from django.shortcuts import render
from ..bl.sources import (
all_sources, add_source,
delete_source, get_source,
change_source_name,
delete_student_source,
connect_student... | 29.257732 | 75 | 0.658915 |
5ed2996b72cc0ed55318d2f5140ffaaf2a4fd81d | 755 | py | Python | kadenze_dl/test_utils.py | Gaarv/kadenze-dl | d92c70dc710626499714aa3f0bdfb72ef482f954 | [
"MIT"
] | 60 | 2016-11-15T18:29:25.000Z | 2022-02-07T08:07:29.000Z | kadenze_dl/test_utils.py | rrosajp/kadenze-dl | 6c4a64f6fd48d37f4574be51c9398b7425dc0393 | [
"MIT"
] | 23 | 2016-10-31T13:37:20.000Z | 2022-03-07T15:13:11.000Z | kadenze_dl/test_utils.py | rrosajp/kadenze-dl | 6c4a64f6fd48d37f4574be51c9398b7425dc0393 | [
"MIT"
] | 17 | 2017-02-02T19:13:36.000Z | 2022-01-02T11:49:02.000Z | import kadenze_dl.utils as utils
def test_extract_filename():
video_url = (
"https://cdnc-prod-assets-private.kadenze.com/uploads/lecture_medium/4894/file/Reb_L5_720.mp4?Expires"
"=1482662443\u0026Signature=QklHU9hV7z2gwVp9yYfN21IITWxPZnPa7c3QOUByerXthMHnGy7-PfWvw~jrk5bE6sNtj2uee"
"gCiGNsu... | 50.333333 | 110 | 0.796026 |
0db6db3d3e686c7f4a25d4b3330bbe61b7c4fb0f | 55,401 | py | Python | rapid7vmconsole/models/role.py | pdeardorff-r7/vm-console-client-python | 4bee83aa4db2b328ba6894cebac55743f922ce5a | [
"MIT"
] | null | null | null | rapid7vmconsole/models/role.py | pdeardorff-r7/vm-console-client-python | 4bee83aa4db2b328ba6894cebac55743f922ce5a | [
"MIT"
] | null | null | null | rapid7vmconsole/models/role.py | pdeardorff-r7/vm-console-client-python | 4bee83aa4db2b328ba6894cebac55743f922ce5a | [
"MIT"
] | null | null | null | # coding: utf-8
"""
InsightVM API
# Overview This guide documents the InsightVM Application Programming Interface (API) Version 3. This API supports the Representation State Transfer (REST) design pattern. Unless noted otherwise this API accepts and produces the `application/json` media type. This API uses ... | 231.803347 | 48,045 | 0.498168 |
5d09c3d79b7f8be0cef5e9a31c5dbc55efc2fa31 | 2,831 | py | Python | predictor.py | crazycloud/deep-learning-vision | 81618c91edbdcfe8c419864043d034220ec4e2bb | [
"Apache-2.0"
] | 12 | 2020-04-11T07:01:27.000Z | 2022-03-20T11:36:40.000Z | predictor.py | crazycloud/deep-learning-vision | 81618c91edbdcfe8c419864043d034220ec4e2bb | [
"Apache-2.0"
] | 3 | 2020-11-10T15:28:12.000Z | 2022-01-23T23:40:12.000Z | predictor.py | crazycloud/deep-learning-vision | 81618c91edbdcfe8c419864043d034220ec4e2bb | [
"Apache-2.0"
] | 3 | 2020-11-10T15:25:23.000Z | 2022-01-28T16:11:16.000Z | from detectron2.config import get_cfg
import detectron2.data.transforms as T
from detectron2.checkpoint import DetectionCheckpointer
from detectron2.modeling import build_model
from detectron2.data import MetadataCatalog
import torch
import os
from detectron2.utils.visualizer import ColorMode, Visualizer
c... | 37.25 | 115 | 0.712116 |
9a497d8ad5126e37d28f5cc9049cad9a3ea7724f | 613 | py | Python | 3/part1.py | graemeglass/adventofcode | 7148fea770d6b4936ba746c1a269387a76aaa22e | [
"MIT"
] | null | null | null | 3/part1.py | graemeglass/adventofcode | 7148fea770d6b4936ba746c1a269387a76aaa22e | [
"MIT"
] | null | null | null | 3/part1.py | graemeglass/adventofcode | 7148fea770d6b4936ba746c1a269387a76aaa22e | [
"MIT"
] | null | null | null | #http://adventofcode.com/day/3
unique_location_count = 1
current_address = [0, 0]
seen_before = []
with open('input.txt') as fp:
data = fp.read()
for symbol in data:
if symbol == '^':
current_address[0] += 1
elif symbol == 'v':
current_address[0] -= 1
elif symbo... | 25.541667 | 54 | 0.5677 |
39702653473fb78de51568b713e789ce9081714f | 176 | py | Python | example_project/example_proj/urls.py | m-thielen/django-webdav-storage | c40d2ba53f171e23684769c0b41f0d12da4c9a49 | [
"BSD-3-Clause"
] | null | null | null | example_project/example_proj/urls.py | m-thielen/django-webdav-storage | c40d2ba53f171e23684769c0b41f0d12da4c9a49 | [
"BSD-3-Clause"
] | null | null | null | example_project/example_proj/urls.py | m-thielen/django-webdav-storage | c40d2ba53f171e23684769c0b41f0d12da4c9a49 | [
"BSD-3-Clause"
] | null | null | null | from django.contrib import admin
from django.urls import path
from example_app.views import index
urlpatterns = [
path('admin/', admin.site.urls),
path('', index),
]
| 17.6 | 36 | 0.710227 |
2f6b7830d6cdeb37ef200cc5bed3cfa6f1dde8e3 | 14,610 | py | Python | python_modules/dagster/dagster/core/storage/intermediate_storage.py | haydarai/dagster | 9b9c78e332f976f196d17a38c9840f53679d94cd | [
"Apache-2.0"
] | null | null | null | python_modules/dagster/dagster/core/storage/intermediate_storage.py | haydarai/dagster | 9b9c78e332f976f196d17a38c9840f53679d94cd | [
"Apache-2.0"
] | null | null | null | python_modules/dagster/dagster/core/storage/intermediate_storage.py | haydarai/dagster | 9b9c78e332f976f196d17a38c9840f53679d94cd | [
"Apache-2.0"
] | null | null | null | from abc import ABCMeta, abstractmethod, abstractproperty
import six
from dagster import check
from dagster.core.definitions.events import ObjectStoreOperation, ObjectStoreOperationType
from dagster.core.errors import DagsterAddressIOError
from dagster.core.execution.context.system import SystemExecutionContext
from ... | 41.505682 | 100 | 0.677002 |
65fc7684058015ee39a1b761b781e10a237ab7a7 | 4,938 | py | Python | python3/koans/about_classes.py | Great-Frosty/koans | b167385a0a604e896f00fc62fabad61c113539ec | [
"MIT"
] | null | null | null | python3/koans/about_classes.py | Great-Frosty/koans | b167385a0a604e896f00fc62fabad61c113539ec | [
"MIT"
] | null | null | null | python3/koans/about_classes.py | Great-Frosty/koans | b167385a0a604e896f00fc62fabad61c113539ec | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from runner.koan import *
class AboutClasses(Koan):
class Dog:
"Dogs need regular walkies. Never, ever let them drive."
def test_instances_of_classes_can_be_created_adding_parentheses(self):
# NOTE: The .__name__ attribute will convert the class
... | 29.218935 | 100 | 0.571486 |
6ac457687902539c6c168382148954000537dfb5 | 2,818 | py | Python | docs/code-docs/source/conf.py | vidushv/DeepSpeed | c7863d97d2a529fba605b148222ccb34c5b409d8 | [
"MIT"
] | 1 | 2020-05-11T03:24:15.000Z | 2020-05-11T03:24:15.000Z | docs/code-docs/source/conf.py | vidushv/DeepSpeed | c7863d97d2a529fba605b148222ccb34c5b409d8 | [
"MIT"
] | null | null | null | docs/code-docs/source/conf.py | vidushv/DeepSpeed | c7863d97d2a529fba605b148222ccb34c5b409d8 | [
"MIT"
] | null | null | null | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
# -- Path setup --------------------------------------------------------------
# If ex... | 29.354167 | 79 | 0.661817 |
4d2f5afd5803ff092fe1647148b7d2cca6923e05 | 850 | py | Python | cifar_new.py | harshita-555/OSSL | 5b365b314f81d3477f2c9bae0a555b12d5b41241 | [
"MIT"
] | null | null | null | cifar_new.py | harshita-555/OSSL | 5b365b314f81d3477f2c9bae0a555b12d5b41241 | [
"MIT"
] | null | null | null | cifar_new.py | harshita-555/OSSL | 5b365b314f81d3477f2c9bae0a555b12d5b41241 | [
"MIT"
] | null | null | null | import numpy as np
import torch.utils.data as data
from PIL import Image
class CIFAR_New(data.Dataset):
def __init__(self, root, transform=None, target_transform=None, version='v6'):
self.data = np.load('%s/cifar10.1_%s_data.npy' % (root, version))
self.targets = np.load('%s/cifar10.1_%s_l... | 36.956522 | 94 | 0.637647 |
2462668e1eb532703e091f4d23d4bbfde6a231fb | 2,682 | py | Python | actions/update.py | nfstein/serverless-app-python | 32317ab4f6bea646abcbbb62684d4919e44aab61 | [
"Apache-2.0"
] | 3 | 2018-12-29T09:51:49.000Z | 2019-06-15T09:51:50.000Z | actions/update.py | nfstein/serverless-app-python | 32317ab4f6bea646abcbbb62684d4919e44aab61 | [
"Apache-2.0"
] | null | null | null | actions/update.py | nfstein/serverless-app-python | 32317ab4f6bea646abcbbb62684d4919e44aab61 | [
"Apache-2.0"
] | 3 | 2019-11-02T15:42:37.000Z | 2020-10-01T10:23:33.000Z | ##
# Copyright 2018 IBM Corp. 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
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 28.83871 | 121 | 0.682699 |
ca203b792177f6185e5c7f5c543ac6713071cef7 | 2,204 | py | Python | userbot/__main__.py | mahajant99/ProjectFizilion | 9179d63aebcb6672b0b3ea4c51a05915f508f4f7 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 3 | 2021-08-24T15:48:13.000Z | 2021-09-20T23:20:07.000Z | userbot/__main__.py | mahajant99/ProjectFizilion | 9179d63aebcb6672b0b3ea4c51a05915f508f4f7 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 4 | 2021-12-15T19:36:59.000Z | 2021-12-20T12:15:57.000Z | userbot/__main__.py | mahajant99/ProjectFizilion | 9179d63aebcb6672b0b3ea4c51a05915f508f4f7 | [
"Naumen",
"Condor-1.1",
"MS-PL"
] | 18 | 2021-07-03T15:12:28.000Z | 2021-08-13T07:27:24.000Z | # Copyright (C) 2019 The Raphielscape Company LLC.
#
# Licensed under the Raphielscape Public License, Version 1.d (the "License");
# you may not use this file except in compliance with the License.
#
""" Userbot start point """
from importlib import import_module
from sys import argv
from asyncio import sleep
from te... | 34.4375 | 125 | 0.665608 |
3317eeb6fd588cc6e2dd877dfaebe345b8457884 | 574 | py | Python | LAB ASSIGN/findScore.py | Amarnathpg123/MLFAHandsOnPython | c3592195b4a81752723783b4625c0c39ac5ff4b5 | [
"MIT"
] | 1 | 2021-09-19T16:41:59.000Z | 2021-09-19T16:41:59.000Z | LAB ASSIGN/findScore.py | Amarnathpg123/Machine_Learning_KGP | c3592195b4a81752723783b4625c0c39ac5ff4b5 | [
"MIT"
] | null | null | null | LAB ASSIGN/findScore.py | Amarnathpg123/Machine_Learning_KGP | c3592195b4a81752723783b4625c0c39ac5ff4b5 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""unit4_Evaluator.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1iKlb6b3HyOJTZRbSCh4bgULNFLKE5TCa
"""
import ast
def main(ans):
res = {}
res["status"] = 'Success'
res["Comments"] = "Please make sure the Py... | 21.259259 | 129 | 0.675958 |
d80eaa7148c41602ce1195081a94c97e2160c01c | 47,212 | py | Python | tencentcloud/solar/v20181011/models.py | PlasticMem/tencentcloud-sdk-python | 666db85623d51d640a165907a19aef5fba53b38d | [
"Apache-2.0"
] | 465 | 2018-04-27T09:54:59.000Z | 2022-03-29T02:18:01.000Z | tencentcloud/solar/v20181011/models.py | PlasticMem/tencentcloud-sdk-python | 666db85623d51d640a165907a19aef5fba53b38d | [
"Apache-2.0"
] | 91 | 2018-04-27T09:48:11.000Z | 2022-03-12T08:04:04.000Z | tencentcloud/solar/v20181011/models.py | PlasticMem/tencentcloud-sdk-python | 666db85623d51d640a165907a19aef5fba53b38d | [
"Apache-2.0"
] | 232 | 2018-05-02T08:02:46.000Z | 2022-03-30T08:02:48.000Z | # -*- coding: utf8 -*-
# Copyright (c) 2017-2021 THL A29 Limited, a Tencent company. 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... | 29.125231 | 95 | 0.604232 |
07429cb96397196d89775cd8a9bef2510f4c2c11 | 11,151 | py | Python | textacy/datasets/imdb.py | arianpasquali/textacy | b08b1585237154b95e1dfb3e07e830eddb45d1a4 | [
"Apache-2.0"
] | null | null | null | textacy/datasets/imdb.py | arianpasquali/textacy | b08b1585237154b95e1dfb3e07e830eddb45d1a4 | [
"Apache-2.0"
] | null | null | null | textacy/datasets/imdb.py | arianpasquali/textacy | b08b1585237154b95e1dfb3e07e830eddb45d1a4 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
IMDB Reviews
------------
A collection of 50k highly polar movie reviews posted to IMDB, split evenly
into training and testing sets, with 25k positive and 25k negative sentiment labels,
as well as some unlabeled reviews.
Records include the following key fields (plus a few others):
*... | 39.264085 | 191 | 0.598422 |
f6ffec4567f90288a1d265c3fb46b49679d1a557 | 1,854 | py | Python | OCT2019/ReverseAList.py | dexterchan/DailyChallenge | 1f38dc3b22983835836a84d6281777d8e20fce7a | [
"Apache-2.0"
] | null | null | null | OCT2019/ReverseAList.py | dexterchan/DailyChallenge | 1f38dc3b22983835836a84d6281777d8e20fce7a | [
"Apache-2.0"
] | null | null | null | OCT2019/ReverseAList.py | dexterchan/DailyChallenge | 1f38dc3b22983835836a84d6281777d8e20fce7a | [
"Apache-2.0"
] | null | null | null | # Given a singly-linked list, reverse the list. This can be done iteratively or recursively. Can you get both solutions?
#Input: 4 -> 3 -> 2 -> 1 -> 0 -> NULL
#Output: 0 -> 1 -> 2 -> 3 -> 4 -> NULL
class ListNode(object):
def __init__(self, x):
self.val = x
self.next = None
# Function to prin... | 26.112676 | 120 | 0.575512 |
0f633503892154f70ac63a399b243bb837e5b825 | 1,243 | py | Python | sa/profiles/Generic/get_portchannel.py | xUndero/noc | 9fb34627721149fcf7064860bd63887e38849131 | [
"BSD-3-Clause"
] | 1 | 2019-09-20T09:36:48.000Z | 2019-09-20T09:36:48.000Z | sa/profiles/Generic/get_portchannel.py | ewwwcha/noc | aba08dc328296bb0e8e181c2ac9a766e1ec2a0bb | [
"BSD-3-Clause"
] | null | null | null | sa/profiles/Generic/get_portchannel.py | ewwwcha/noc | aba08dc328296bb0e8e181c2ac9a766e1ec2a0bb | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# ---------------------------------------------------------------------
# Generic.get_portchannel
# ---------------------------------------------------------------------
# Copyright (C) 2007-2018 The NOC Project
# See LICENSE for details
# --------------------------------------------------------... | 32.710526 | 78 | 0.526146 |
67dd43780b07a1b6cd4d3c130e7bd8bacba40470 | 1,302 | py | Python | dialogue_system/language_understanding/attribute_extraction/rule_based_extractor.py | tknmk/slack_bot2 | ed2eab93ecb3cf988d53042ffebf3d5847c464a4 | [
"MIT"
] | null | null | null | dialogue_system/language_understanding/attribute_extraction/rule_based_extractor.py | tknmk/slack_bot2 | ed2eab93ecb3cf988d53042ffebf3d5847c464a4 | [
"MIT"
] | null | null | null | dialogue_system/language_understanding/attribute_extraction/rule_based_extractor.py | tknmk/slack_bot2 | ed2eab93ecb3cf988d53042ffebf3d5847c464a4 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import re
from dialogue_system.knowledge.reader import read_genres, read_locations
from dialogue_system.language_understanding.utils.utils import kansuji2arabic
class RuleBasedAttributeExtractor(object):
def __init__(self):
self.__locations = read_locations()
self.__genr... | 31 | 100 | 0.64977 |
ba4cdbaf65acab02779c574fa4368ab42d4dc3d8 | 11,321 | py | Python | apps/posts/views.py | cmput404F21/CMPUT404-project-socialdistribution | 47f108b43886a4e482c6b6f9c6fdef6dcc005c3f | [
"W3C-20150513"
] | null | null | null | apps/posts/views.py | cmput404F21/CMPUT404-project-socialdistribution | 47f108b43886a4e482c6b6f9c6fdef6dcc005c3f | [
"W3C-20150513"
] | 48 | 2021-10-12T21:41:39.000Z | 2021-12-08T19:40:25.000Z | apps/posts/views.py | cmput404F21/CMPUT404-project-socialdistribution | 47f108b43886a4e482c6b6f9c6fdef6dcc005c3f | [
"W3C-20150513"
] | 1 | 2022-01-11T04:07:43.000Z | 2022-01-11T04:07:43.000Z | from django.core.exceptions import MultipleObjectsReturned
from django.shortcuts import render, redirect, get_object_or_404
from django.http.request import HttpRequest
from django.core.paginator import Paginator
from django.urls.base import reverse
from apps.core.views import author
from .models import Post, Like, Co... | 37.363036 | 111 | 0.684745 |
a375c854824f073f66dacb35ed01b38c7243ad99 | 4,523 | py | Python | src/envrd/gesture_detector/training/soft_SVM.py | 180D-FW-2020/Team8 | ba439a2e65d759d0abd8d4fa827601b16228d841 | [
"MIT"
] | 2 | 2020-10-13T09:07:45.000Z | 2020-10-15T21:04:28.000Z | src/envrd/gesture_detector/training/soft_SVM.py | 180D-FW-2020/Team8 | ba439a2e65d759d0abd8d4fa827601b16228d841 | [
"MIT"
] | 49 | 2020-10-16T00:00:53.000Z | 2021-03-11T23:49:47.000Z | src/envrd/gesture_detector/training/soft_SVM.py | 180D-FW-2020/Team8 | ba439a2e65d759d0abd8d4fa827601b16228d841 | [
"MIT"
] | 1 | 2021-07-08T04:24:01.000Z | 2021-07-08T04:24:01.000Z | ##
# File: soft_SVM.py
#
# Author: Thomas Kost
#
# Date: 15 November 2020
#
# @brief object for a soft SVM Classifier, designed for use with arbitrary data and classes
# supports One vs. One classification
#
import pandas as pd
import numpy as np
import cvxpy as cp
class soft_SVM:
def __... | 36.475806 | 140 | 0.556489 |
cdc3e3c0733f4bd7f2e0b06229e157f3d9db66e8 | 1,244 | py | Python | 3.7.0/lldb-3.7.0.src/test/expression_command/radar_9531204/TestPrintfAfterUp.py | androm3da/clang_sles | 2ba6d0711546ad681883c42dfb8661b842806695 | [
"MIT"
] | 3 | 2016-02-10T14:18:40.000Z | 2018-02-05T03:15:56.000Z | 3.7.0/lldb-3.7.0.src/test/expression_command/radar_9531204/TestPrintfAfterUp.py | androm3da/clang_sles | 2ba6d0711546ad681883c42dfb8661b842806695 | [
"MIT"
] | 1 | 2016-02-10T15:40:03.000Z | 2016-02-10T15:40:03.000Z | 3.7.0/lldb-3.7.0.src/test/expression_command/radar_9531204/TestPrintfAfterUp.py | androm3da/clang_sles | 2ba6d0711546ad681883c42dfb8661b842806695 | [
"MIT"
] | null | null | null | """
The evaluating printf(...) after break stop and then up a stack frame.
"""
import os, time
import unittest2
import lldb
from lldbtest import *
import lldbutil
class Radar9531204TestCase(TestBase):
mydir = TestBase.compute_mydir(__file__)
# rdar://problem/9531204
def test_expr_commands(self):
... | 27.043478 | 96 | 0.663183 |
361332190cf8f3d5d40ef3b3c8bec874bca2a059 | 20,432 | py | Python | clearml/utilities/plotlympl/mpltools.py | harrywang/clearml | d72a42b89feba761115103c51b73897f04ae61d7 | [
"Apache-2.0"
] | 1 | 2022-01-20T11:05:01.000Z | 2022-01-20T11:05:01.000Z | clearml/utilities/plotlympl/mpltools.py | harrywang/clearml | d72a42b89feba761115103c51b73897f04ae61d7 | [
"Apache-2.0"
] | null | null | null | clearml/utilities/plotlympl/mpltools.py | harrywang/clearml | d72a42b89feba761115103c51b73897f04ae61d7 | [
"Apache-2.0"
] | null | null | null | """
Tools
A module for converting from mpl language to plotly language.
"""
import math
import warnings
import matplotlib.dates
def check_bar_match(old_bar, new_bar):
"""Check if two bars belong in the same collection (bar chart).
Positional arguments:
old_bar -- a previously sorted bar dictionary.
... | 33.996672 | 89 | 0.604836 |
4177777a1fbfeaa7c4f7a9d6e235d940ad0c7b4f | 326 | py | Python | books/migrations/0015_remove_book_file_url.py | asommer70/bookpila | 6ed7b6ee1866daeb3820e958a5d8115d76e9269d | [
"MIT"
] | 1 | 2020-04-14T01:14:30.000Z | 2020-04-14T01:14:30.000Z | books/migrations/0015_remove_book_file_url.py | asommer70/bookpila | 6ed7b6ee1866daeb3820e958a5d8115d76e9269d | [
"MIT"
] | null | null | null | books/migrations/0015_remove_book_file_url.py | asommer70/bookpila | 6ed7b6ee1866daeb3820e958a5d8115d76e9269d | [
"MIT"
] | null | null | null | # Generated by Django 2.0.1 on 2018-01-07 10:19
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('books', '0014_auto_20180107_0518'),
]
operations = [
migrations.RemoveField(
model_name='book',
name='file_url',
),
... | 18.111111 | 47 | 0.588957 |
7d511ca93bcd171fadf39fbecbf1e983eba2492d | 13,915 | py | Python | tensorflow_datasets/core/features/image_feature.py | elda27/datasets | 9653c3eaeb4f320cf50034543925061e0e5c98a3 | [
"Apache-2.0"
] | 1 | 2021-08-05T12:47:25.000Z | 2021-08-05T12:47:25.000Z | tensorflow_datasets/core/features/image_feature.py | elda27/datasets | 9653c3eaeb4f320cf50034543925061e0e5c98a3 | [
"Apache-2.0"
] | null | null | null | tensorflow_datasets/core/features/image_feature.py | elda27/datasets | 9653c3eaeb4f320cf50034543925061e0e5c98a3 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2021 The TensorFlow Datasets 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 appl... | 32.511682 | 95 | 0.67977 |
793b1f569c38dd989bedb9312fc5cbfbe92086b6 | 31,775 | py | Python | Lib/test/test_deque.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | 1 | 2018-06-21T18:21:24.000Z | 2018-06-21T18:21:24.000Z | Lib/test/test_deque.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | null | null | null | Lib/test/test_deque.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | null | null | null | z collections zaimportuj deque
zaimportuj unittest
z test zaimportuj support, seq_tests
zaimportuj gc
zaimportuj weakref
zaimportuj copy
zaimportuj pickle
z io zaimportuj StringIO
zaimportuj random
zaimportuj struct
BIG = 100000
def fail():
podnieś SyntaxError
uzyskaj 1
klasa BadCmp:
def __eq__(self, oth... | 31.743257 | 85 | 0.518584 |
7d7f79157661738ea95015d82366617cb5ba93c3 | 238 | py | Python | py/src/myapp.py | gilbertfrancois/qt-camera-template | 8cb595b1593a53dc9a93c48a40465f6ed112024d | [
"Apache-2.0"
] | 3 | 2020-02-26T13:16:57.000Z | 2021-06-05T01:02:25.000Z | py/src/myapp.py | gilbertfrancois/qt-camera-template | 8cb595b1593a53dc9a93c48a40465f6ed112024d | [
"Apache-2.0"
] | null | null | null | py/src/myapp.py | gilbertfrancois/qt-camera-template | 8cb595b1593a53dc9a93c48a40465f6ed112024d | [
"Apache-2.0"
] | 2 | 2020-02-26T13:16:59.000Z | 2020-11-10T06:52:53.000Z | from PySide2.QtWidgets import *
class MyApp(QApplication):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
self.setApplicationName("My Camera App")
self.setApplicationVersion("0.1")
| 19.833333 | 48 | 0.655462 |
558f067ac899a8fb124e18e9f739c48a2174068f | 4,237 | py | Python | tasks/_iblrig_calibration_screen/session_params.py | jennan/iblrig | 46591429951f5cec6deb307318c7c63616c240f3 | [
"MIT"
] | null | null | null | tasks/_iblrig_calibration_screen/session_params.py | jennan/iblrig | 46591429951f5cec6deb307318c7c63616c240f3 | [
"MIT"
] | null | null | null | tasks/_iblrig_calibration_screen/session_params.py | jennan/iblrig | 46591429951f5cec6deb307318c7c63616c240f3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding:utf-8 -*-
# @Author: Niccolò Bonacchi
# @Date: Thursday, June 6th 2019, 11:42:40 am
import logging
from pythonosc import udp_client
import iblrig.iotasks as iotasks
from iblrig.path_helper import SessionPathCreator
log = logging.getLogger('iblrig')
class SessionPara... | 44.6 | 109 | 0.423885 |
3d6e6bacf2ca21c8cbcbab78e3f55d91b11d20cd | 76,052 | py | Python | rpython/rlib/runicode.py | bxtkezhan/rpython | 10d53fe95495c3be5933320c277f6dd26238408b | [
"MIT"
] | 11 | 2020-07-02T13:57:46.000Z | 2022-01-23T18:04:42.000Z | rlib/runicode.py | rafi16jan/rpython-wasm | a9739d498c2812d56636d69307719082ec8cd8a2 | [
"MIT"
] | 1 | 2021-11-05T06:29:33.000Z | 2021-11-06T12:33:46.000Z | rlib/runicode.py | rafi16jan/rpython-wasm | a9739d498c2812d56636d69307719082ec8cd8a2 | [
"MIT"
] | 2 | 2020-12-17T09:35:36.000Z | 2021-11-24T15:34:08.000Z | import sys
from rpython.rlib.objectmodel import specialize, we_are_translated, enforceargs
from rpython.rlib.rstring import StringBuilder, UnicodeBuilder
from rpython.rlib.rarithmetic import r_uint, intmask, widen
from rpython.rlib.unicodedata import unicodedb
from rpython.tool.sourcetools import func_with_new_name
fro... | 37.482504 | 87 | 0.497186 |
2b2e99611f859063fc24b0c6beb0a85fd07bfc40 | 110 | py | Python | nxted/files/test4.py | xlcteam/nxtIDE | 659ace68b060682aeeb6d789d88a7b6899a56f9a | [
"MIT"
] | 8 | 2015-02-16T23:11:30.000Z | 2021-01-16T00:15:25.000Z | nxted/files/test4.py | xlcteam/nxtIDE | 659ace68b060682aeeb6d789d88a7b6899a56f9a | [
"MIT"
] | 3 | 2016-07-16T20:47:48.000Z | 2021-03-25T21:27:11.000Z | nxted/files/test4.py | xlcteam/nxtIDE | 659ace68b060682aeeb6d789d88a7b6899a56f9a | [
"MIT"
] | 3 | 2015-08-30T18:23:51.000Z | 2016-10-28T15:07:59.000Z |
def main():
OnFwd(OUT_AB, 100)
Wait(2000)
OnRev(OUT_AB, 100)
Wait(2000)
Off(OUT_AB)
| 12.222222 | 22 | 0.545455 |
fd4134c98a76144872be22b100b15146e80ae3fd | 31 | py | Python | data-science/scikit-learn/module/FirstML.py | le3t/ko-repo | 50eb0b4cadb9db9bf608a9e5d36376f38ff5cce5 | [
"Apache-2.0"
] | 4 | 2019-10-26T01:25:30.000Z | 2020-01-12T08:10:25.000Z | data-science/scikit-learn/module/FirstML.py | Artister/tutorials-java | 50eb0b4cadb9db9bf608a9e5d36376f38ff5cce5 | [
"Apache-2.0"
] | 3 | 2019-08-26T13:41:57.000Z | 2019-08-26T13:44:21.000Z | data-science/scikit-learn/module/FirstML.py | Artister/tutorials-java | 50eb0b4cadb9db9bf608a9e5d36376f38ff5cce5 | [
"Apache-2.0"
] | 1 | 2019-12-30T12:27:38.000Z | 2019-12-30T12:27:38.000Z | def predict(x):
print("?")
| 10.333333 | 15 | 0.516129 |
e6076ac1cf7cbfd56c773f8a924e47ff521a6e22 | 17,532 | py | Python | Bio/PDB/PDBParser.py | ProteinQure/biopython | a8569f03bd18f1aa5258b1da0e21f5efd805a4c0 | [
"BSD-3-Clause"
] | 1 | 2022-02-08T23:44:30.000Z | 2022-02-08T23:44:30.000Z | Bio/PDB/PDBParser.py | ProteinQure/biopython | a8569f03bd18f1aa5258b1da0e21f5efd805a4c0 | [
"BSD-3-Clause"
] | null | null | null | Bio/PDB/PDBParser.py | ProteinQure/biopython | a8569f03bd18f1aa5258b1da0e21f5efd805a4c0 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (C) 2002, Thomas Hamelryck (thamelry@binf.ku.dk)
# This code is part of the Biopython distribution and governed by its
# license. Please see the LICENSE file that should have been included
# as part of this package.
"""Parser for PDB files."""
import warnings
try:
import numpy
except ImportError:
... | 40.962617 | 85 | 0.504905 |
c25a02869aa6de58f8e31cc2acdfaf65ff0ae744 | 11,876 | py | Python | tfjs-converter/python/tensorflowjs/converters/keras_h5_conversion.py | nicholasio/tfjs | dc29a283ac2520ad9d484acab711dfd589d9577c | [
"Apache-2.0"
] | 1 | 2020-07-12T10:21:49.000Z | 2020-07-12T10:21:49.000Z | tfjs-converter/python/tensorflowjs/converters/keras_h5_conversion.py | OmriGM/tfjs | 26bccc44133ae14d98f3ac6f217a4ee8d51055f0 | [
"Apache-2.0"
] | null | null | null | tfjs-converter/python/tensorflowjs/converters/keras_h5_conversion.py | OmriGM/tfjs | 26bccc44133ae14d98f3ac6f217a4ee8d51055f0 | [
"Apache-2.0"
] | 1 | 2020-06-04T23:28:38.000Z | 2020-06-04T23:28:38.000Z | # Copyright 2018 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, s... | 33.931429 | 80 | 0.711014 |
8c67d4d313eaba4fb9ddc05a996a375c6d98d1b7 | 4,194 | py | Python | sdk/python/pulumi_aws/waf/regex_pattern_set.py | dixler/pulumi-aws | 88838ed6d412c092717a916b0b5b154f68226c3a | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/waf/regex_pattern_set.py | dixler/pulumi-aws | 88838ed6d412c092717a916b0b5b154f68226c3a | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | sdk/python/pulumi_aws/waf/regex_pattern_set.py | dixler/pulumi-aws | 88838ed6d412c092717a916b0b5b154f68226c3a | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import json
import warnings
import pulumi
import pulumi.runtime
from typing import Union
from .. import utilities, tables
class RegexP... | 46.6 | 164 | 0.679304 |
51fbdda4858c396a0e21ad9f9a7a2df79ff838f3 | 50,095 | py | Python | lnt/server/db/testsuitedb.py | sx-aurora-dev/llvm-lnt | 1befd8e072138ca843305a0b5e20e0883d19eafd | [
"Apache-2.0"
] | 19 | 2019-01-15T03:04:00.000Z | 2021-12-08T00:09:01.000Z | lnt/server/db/testsuitedb.py | sx-aurora-dev/llvm-lnt | 1befd8e072138ca843305a0b5e20e0883d19eafd | [
"Apache-2.0"
] | 5 | 2019-04-11T06:22:18.000Z | 2021-09-13T17:41:14.000Z | lnt/server/db/testsuitedb.py | sx-aurora-dev/llvm-lnt | 1befd8e072138ca843305a0b5e20e0883d19eafd | [
"Apache-2.0"
] | 21 | 2019-02-10T02:47:55.000Z | 2022-03-31T14:16:36.000Z | """
Database models for the TestSuite databases themselves.
These are a bit magical because the models themselves are driven by the test
suite metadata, so we only create the classes at runtime.
"""
from __future__ import absolute_import
import datetime
import json
import os
import itertools
import aniso8601
import ... | 41.298434 | 87 | 0.550893 |
d401da931a3855b3ba38fc4ea65782db7e986fc0 | 53,377 | py | Python | trac/versioncontrol/api.py | clubturbo/Trac-1.4.2 | 254ce54a3c2fb86b4f31810ddeabbd4ff8b54a78 | [
"BSD-3-Clause"
] | null | null | null | trac/versioncontrol/api.py | clubturbo/Trac-1.4.2 | 254ce54a3c2fb86b4f31810ddeabbd4ff8b54a78 | [
"BSD-3-Clause"
] | null | null | null | trac/versioncontrol/api.py | clubturbo/Trac-1.4.2 | 254ce54a3c2fb86b4f31810ddeabbd4ff8b54a78 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Copyright (C) 2005-2020 Edgewall Software
# Copyright (C) 2005 Christopher Lenz <cmlenz@gmx.de>
# All rights reserved.
#
# This software is licensed as described in the file COPYING, which
# you should have received as part of this distribution. The terms
# are also available at http... | 39.075403 | 81 | 0.56826 |
268b1afdd6d0424a701a388adbb1e9a29656d93c | 6,175 | py | Python | app/tests.py | eason-lee/fastapi-demo | 89f0b6be6c6038d90179cf8772895b337642a717 | [
"Apache-2.0"
] | null | null | null | app/tests.py | eason-lee/fastapi-demo | 89f0b6be6c6038d90179cf8772895b337642a717 | [
"Apache-2.0"
] | null | null | null | app/tests.py | eason-lee/fastapi-demo | 89f0b6be6c6038d90179cf8772895b337642a717 | [
"Apache-2.0"
] | null | null | null | import asyncio
from typing import Generator
import pytest
from faker import Faker
from fastapi.testclient import TestClient
from tortoise.contrib.test import finalizer, initializer
from app import create_app
from app.models import StatisticsData
fake = Faker()
@pytest.fixture
def client() -> Generator:
app = c... | 27.941176 | 67 | 0.483077 |
8a82356d480cf56ca18c96b53f5de7ea5fbaa38e | 573 | py | Python | utils.py | sumeshir26/TimerX | d6ddf01ddab4487d3c24466f89be8188e0be5b28 | [
"MIT"
] | 8 | 2021-11-10T06:30:51.000Z | 2022-01-06T14:58:12.000Z | utils.py | sumeshir26/TimerX | d6ddf01ddab4487d3c24466f89be8188e0be5b28 | [
"MIT"
] | 33 | 2021-11-11T16:10:10.000Z | 2022-01-14T18:54:15.000Z | utils.py | sumeshir26/TimerX | d6ddf01ddab4487d3c24466f89be8188e0be5b28 | [
"MIT"
] | 14 | 2021-11-10T08:39:13.000Z | 2022-01-06T14:53:56.000Z | # CONFIG
import json
def loadConfig():
with open('config.json') as config_file:
config = json.load(config_file)
return config
def setConfig(config):
with open('config.json', 'w') as config_file:
json.dump(config, config_file)
def createConfig():
with open('config.json', '... | 35.8125 | 231 | 0.649215 |
2e3e9d9ff767d398c19c20f217c6d81b2c081a58 | 3,779 | py | Python | cuml_bench/kmeans.py | owerbat/scikit-learn_bench | 972efac3779578865424515db2897c4b8c71307a | [
"Apache-2.0"
] | 59 | 2019-06-13T18:25:55.000Z | 2022-03-28T19:33:23.000Z | cuml_bench/kmeans.py | owerbat/scikit-learn_bench | 972efac3779578865424515db2897c4b8c71307a | [
"Apache-2.0"
] | 45 | 2018-10-10T16:17:21.000Z | 2022-03-25T16:00:58.000Z | cuml_bench/kmeans.py | owerbat/scikit-learn_bench | 972efac3779578865424515db2897c4b8c71307a | [
"Apache-2.0"
] | 38 | 2018-10-08T17:07:25.000Z | 2021-11-10T06:29:37.000Z | # ===============================================================================
# Copyright 2020-2021 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.ap... | 40.202128 | 86 | 0.66896 |
e4accd7b57d1d44d08de97a69719066c697d5ece | 100 | py | Python | bitmovin_api_sdk/encoding/encodings/muxings/mp3/customdata/__init__.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 11 | 2019-07-03T10:41:16.000Z | 2022-02-25T21:48:06.000Z | bitmovin_api_sdk/encoding/encodings/muxings/mp3/customdata/__init__.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 8 | 2019-11-23T00:01:25.000Z | 2021-04-29T12:30:31.000Z | bitmovin_api_sdk/encoding/encodings/muxings/mp3/customdata/__init__.py | jaythecaesarean/bitmovin-api-sdk-python | 48166511fcb9082041c552ace55a9b66cc59b794 | [
"MIT"
] | 13 | 2020-01-02T14:58:18.000Z | 2022-03-26T12:10:30.000Z | from bitmovin_api_sdk.encoding.encodings.muxings.mp3.customdata.customdata_api import CustomdataApi
| 50 | 99 | 0.9 |
0fc232b5a93fd27b1d320b1569b31505310457f5 | 2,108 | py | Python | tests/test_pre_commit_4_sync_execute.py | st--/jupytext | f8e8352859cc22e17b11154d0770fd946c4a430a | [
"MIT"
] | 5,378 | 2018-09-01T22:03:43.000Z | 2022-03-31T06:51:42.000Z | tests/test_pre_commit_4_sync_execute.py | st--/jupytext | f8e8352859cc22e17b11154d0770fd946c4a430a | [
"MIT"
] | 812 | 2018-08-31T08:26:13.000Z | 2022-03-30T18:12:11.000Z | tests/test_pre_commit_4_sync_execute.py | st--/jupytext | f8e8352859cc22e17b11154d0770fd946c4a430a | [
"MIT"
] | 380 | 2018-09-02T01:40:07.000Z | 2022-03-25T13:57:23.000Z | import pytest
from git.exc import HookExecutionError
from nbformat.v4.nbbase import new_code_cell
from pre_commit.main import main as pre_commit
from jupytext import read, write
from .utils import (
requires_user_kernel_python3,
skip_pre_commit_tests_on_windows,
skip_pre_commit_tests_when_jupytext_folder_... | 28.876712 | 105 | 0.707306 |
bc9b21ab5f53912b4dd7f86dfe2b90d8ff4ce876 | 6,898 | py | Python | alchemyjsonschema/tests/test_dictify.py | mrichar1/alchemyjsonschema | cee81f707b3ebb64e72fd555b9118c76cf127caf | [
"MIT"
] | 58 | 2015-01-11T09:25:59.000Z | 2022-01-02T21:03:58.000Z | alchemyjsonschema/tests/test_dictify.py | mrichar1/alchemyjsonschema | cee81f707b3ebb64e72fd555b9118c76cf127caf | [
"MIT"
] | 18 | 2015-10-26T00:49:56.000Z | 2021-04-28T14:25:24.000Z | alchemyjsonschema/tests/test_dictify.py | mrichar1/alchemyjsonschema | cee81f707b3ebb64e72fd555b9118c76cf127caf | [
"MIT"
] | 13 | 2015-01-16T15:39:19.000Z | 2021-03-29T16:02:46.000Z | # -*- coding:utf-8 -*-
def _callFUT(*args, **kwargs):
from alchemyjsonschema.dictify import dictify
return dictify(*args, **kwargs)
def _callFUT2(*args, **kwargs):
from alchemyjsonschema.dictify import normalize
return normalize(*args, **kwargs)
def _callFUT3(*args, **kwargs):
from alchemyjson... | 30.122271 | 88 | 0.613946 |
05fbee12c24f5f8cbbd064ff9b60bb2049be1dab | 1,211 | py | Python | nnef_tools/io/tensorflow/tflite_fb/GatherOptions.py | rgiduthuri/NNEF-Tools | 8a9971f897fb5a110dd254e0c20077213f257700 | [
"Apache-2.0"
] | null | null | null | nnef_tools/io/tensorflow/tflite_fb/GatherOptions.py | rgiduthuri/NNEF-Tools | 8a9971f897fb5a110dd254e0c20077213f257700 | [
"Apache-2.0"
] | null | null | null | nnef_tools/io/tensorflow/tflite_fb/GatherOptions.py | rgiduthuri/NNEF-Tools | 8a9971f897fb5a110dd254e0c20077213f257700 | [
"Apache-2.0"
] | null | null | null | # automatically generated by the FlatBuffers compiler, do not modify
# namespace: tflite_fb
import flatbuffers
from flatbuffers.compat import import_numpy
np = import_numpy()
class GatherOptions(object):
__slots__ = ['_tab']
@classmethod
def GetRootAsGatherOptions(cls, buf, offset):
n = flatbuff... | 32.72973 | 114 | 0.712634 |
19e1ec0a9fd7bc7d71f7dd1db51e79a606431b41 | 1,335 | py | Python | attune/_note.py | wright-group/WrightTune | e9a4937b6fda24dfd10baf2fc674c15542861aba | [
"MIT"
] | 2 | 2020-08-20T14:26:19.000Z | 2021-07-19T22:51:19.000Z | attune/_note.py | wright-group/attune | 67b7e5590a11e9b09056e7d334fd7d7286a24c5f | [
"MIT"
] | 96 | 2017-10-12T01:16:01.000Z | 2022-02-23T19:43:57.000Z | attune/_note.py | wright-group/WrightTune | e9a4937b6fda24dfd10baf2fc674c15542861aba | [
"MIT"
] | 2 | 2021-08-17T22:22:06.000Z | 2021-09-01T02:30:06.000Z | __all__ = ["Note"]
from typing import Dict, Union
from ._setable import Setable
class Note:
def __init__(
self,
setables: Dict[str, Setable],
setable_positions: Dict[str, Union[float, str]],
arrangement_name: str,
):
"""A particular set of motor positions.
Pa... | 28.404255 | 96 | 0.618727 |
ccd27f77773ab99c60e7694d7092f2b92048850e | 1,706 | py | Python | profiles_api/migrations/0001_initial.py | Kozphy/django_api_learn | 9cdbabcdc26438af09ccbd241c0cf9bfaff4138a | [
"MIT"
] | null | null | null | profiles_api/migrations/0001_initial.py | Kozphy/django_api_learn | 9cdbabcdc26438af09ccbd241c0cf9bfaff4138a | [
"MIT"
] | null | null | null | profiles_api/migrations/0001_initial.py | Kozphy/django_api_learn | 9cdbabcdc26438af09ccbd241c0cf9bfaff4138a | [
"MIT"
] | null | null | null | # Generated by Django 2.2 on 2021-01-13 06:31
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('auth', '0011_update_proxy_permissions'),
]
operations = [
migrations.CreateModel(
name='UserProfile',
... | 50.176471 | 266 | 0.638921 |
f48df764cebe8feec791e61930da32eeedc33e22 | 40,191 | py | Python | reference/bert_model_format.py | Feuoy/sentiment-analysis | d0912381f7230fce5333809d5f2d9ee27c95a076 | [
"MIT"
] | 25 | 2021-05-21T06:47:56.000Z | 2022-02-27T06:57:37.000Z | reference/bert_model_format.py | Feuoy/sentiment-analysis | d0912381f7230fce5333809d5f2d9ee27c95a076 | [
"MIT"
] | 3 | 2021-06-12T09:26:54.000Z | 2022-03-23T14:33:15.000Z | reference/bert_model_format.py | Feuoy/sentiment-analysis | d0912381f7230fce5333809d5f2d9ee27c95a076 | [
"MIT"
] | 1 | 2021-10-02T03:47:04.000Z | 2021-10-02T03:47:04.000Z | # coding=utf-8
# Copyright 2018 The Google AI Language Team Authors and The HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION. 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 cop... | 41.137155 | 139 | 0.672763 |
523133d070607d34fe0231cc7930c92a1bb224f6 | 37,693 | py | Python | lib/galaxy/tools/parser/xml.py | igorhollaender/sirv_dashboard | 85aec60b80ef6f561d89398e3da5963d3d0f2aa4 | [
"CC-BY-3.0"
] | 2 | 2018-10-14T16:42:39.000Z | 2018-10-14T16:42:41.000Z | lib/galaxy/tools/parser/xml.py | igorhollaender/OBSOLETE_sirv_dashboard | 85aec60b80ef6f561d89398e3da5963d3d0f2aa4 | [
"CC-BY-3.0"
] | null | null | null | lib/galaxy/tools/parser/xml.py | igorhollaender/OBSOLETE_sirv_dashboard | 85aec60b80ef6f561d89398e3da5963d3d0f2aa4 | [
"CC-BY-3.0"
] | null | null | null | import logging
import re
import traceback
import sys
import uuid
from math import isinf
from .interface import (
ToolSource,
PagesSource,
PageSource,
InputSource,
ToolStdioExitCode,
ToolStdioRegex,
TestCollectionDef,
TestCollectionOutputDef,
)
from .util import (
error_on_exit_code,... | 40.486574 | 156 | 0.613217 |
39ededb0fb9b228422f510417ffc7350054db17c | 5,902 | py | Python | parsers/NZ.py | oscarmrom/electricitymap-contrib | 1fcbb9a9003a50aa0dccc4e4ca703126f76f2c89 | [
"MIT"
] | 1,582 | 2018-07-16T10:52:36.000Z | 2021-12-06T06:03:32.000Z | parsers/NZ.py | oscarmrom/electricitymap-contrib | 1fcbb9a9003a50aa0dccc4e4ca703126f76f2c89 | [
"MIT"
] | 1,463 | 2018-07-09T12:23:35.000Z | 2021-12-06T08:11:37.000Z | parsers/NZ.py | oscarmrom/electricitymap-contrib | 1fcbb9a9003a50aa0dccc4e4ca703126f76f2c89 | [
"MIT"
] | 650 | 2018-07-10T02:07:17.000Z | 2021-12-03T11:05:45.000Z | #!/usr/bin/env python3
# The arrow library is used to handle datetimes
import arrow
# The request library is used to fetch content through HTTP
import requests
import json
from bs4 import BeautifulSoup
timezone = 'Pacific/Auckland'
NZ_NZN_PRICE_REGIONS = set(['region{}'.format(i) for i in range(1, 9)])
NZ_NZS_PRICE... | 37.592357 | 98 | 0.617079 |
9b292ba5298384e9b70fcb32268e1ed43faed967 | 752 | py | Python | offer/32-cong-shang-dao-xia-da-yin-er-cha-shu-lcof.py | wanglongjiang/leetcode | c61d2e719e81575cfb5bde9d64e15cee7cf01ef3 | [
"MIT"
] | 2 | 2021-03-14T11:38:26.000Z | 2021-03-14T11:38:30.000Z | offer/32-cong-shang-dao-xia-da-yin-er-cha-shu-lcof.py | wanglongjiang/leetcode | c61d2e719e81575cfb5bde9d64e15cee7cf01ef3 | [
"MIT"
] | null | null | null | offer/32-cong-shang-dao-xia-da-yin-er-cha-shu-lcof.py | wanglongjiang/leetcode | c61d2e719e81575cfb5bde9d64e15cee7cf01ef3 | [
"MIT"
] | 1 | 2022-01-17T19:33:23.000Z | 2022-01-17T19:33:23.000Z | '''
剑指 Offer 32 - I. 从上到下打印二叉树
从上到下打印出二叉树的每个节点，同一层的节点按照从左到右的顺序打印。
'''
from typing import List
# Definition for a binary tree node.
class TreeNode:
def __init__(self, x):
self.val = x
self.left = None
self.right = None
'''
思路：BFS遍历树
广度优先遍历树，使用队列保存待遍历的节点
时间复杂度：O(n)
空间复杂度：O(n)
'''
class S... | 18.8 | 54 | 0.545213 |
756bb6dbe8d9d3d69c4c609c57d72468e407dcc0 | 738 | py | Python | talks/migrations/0004_auto_20171118_1944.py | manavshrivastavagit/django-restapi | 52261c93b58422b0e39cae656ae9409ea03a488d | [
"MIT"
] | 5 | 2017-01-13T08:17:25.000Z | 2020-04-07T12:50:51.000Z | talks/migrations/0004_auto_20171118_1944.py | manavshrivastavagit/django-restapi | 52261c93b58422b0e39cae656ae9409ea03a488d | [
"MIT"
] | 2 | 2016-10-25T12:51:30.000Z | 2017-10-14T18:38:59.000Z | talks/migrations/0004_auto_20171118_1944.py | manavshrivastavagit/django-restapi | 52261c93b58422b0e39cae656ae9409ea03a488d | [
"MIT"
] | 4 | 2017-09-05T19:03:13.000Z | 2021-03-23T07:47:41.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.10.2 on 2017-11-18 17:44
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('talks', '0003_auto_20171118_1908'),
]
operations = [
migrations.AlterModelO... | 24.6 | 57 | 0.571816 |
f0508f2552d82b92f9a0022e44d433d2c4e9b70b | 845 | py | Python | scripts/issues/issue14.py | slamer59/awesome-panel | 91c30bd6d6859eadf9c65b1e143952f7e64d5290 | [
"Apache-2.0"
] | 179 | 2019-12-04T14:54:53.000Z | 2022-03-30T09:08:38.000Z | scripts/issues/issue14.py | slamer59/awesome-panel | 91c30bd6d6859eadf9c65b1e143952f7e64d5290 | [
"Apache-2.0"
] | 62 | 2019-12-14T16:51:28.000Z | 2022-03-19T18:47:12.000Z | scripts/issues/issue14.py | slamer59/awesome-panel | 91c30bd6d6859eadf9c65b1e143952f7e64d5290 | [
"Apache-2.0"
] | 35 | 2019-12-08T13:19:53.000Z | 2022-03-25T10:33:02.000Z | import panel as pn
text = """\
## Wide images in markdown overflows the page
A wide image in markdown overflows the page
**I think it's a friction point that could be easily solved by setting `max-width: 100%` in the default css of Panel**.
Or alternative by default adding `max-width: 100%` to the styling of... | 36.73913 | 192 | 0.747929 |
01e5a0473ddc67e83b75dc072883a6b1b2a9ac65 | 3,132 | py | Python | pontoon/administration/forms.py | foss4/pontoon | 0503cc78f00e1e9d23c1ca885fe74a627563fc82 | [
"BSD-3-Clause"
] | 1,145 | 2015-05-15T01:08:16.000Z | 2022-03-31T14:23:45.000Z | pontoon/administration/forms.py | foss4/pontoon | 0503cc78f00e1e9d23c1ca885fe74a627563fc82 | [
"BSD-3-Clause"
] | 1,365 | 2015-05-04T21:54:18.000Z | 2022-03-30T16:53:49.000Z | pontoon/administration/forms.py | foss4/pontoon | 0503cc78f00e1e9d23c1ca885fe74a627563fc82 | [
"BSD-3-Clause"
] | 667 | 2015-05-04T21:33:45.000Z | 2022-03-30T10:25:33.000Z | from django import forms
from django.contrib.auth.models import User
from django.forms.models import inlineformset_factory
from django.core.exceptions import ValidationError
from pontoon.base.models import (
Entity,
ExternalResource,
Locale,
Project,
Repository,
Subpage,
)
from pontoon.base.for... | 25.884298 | 83 | 0.611111 |
ed212568334fb3867360a5e8c33b04aeefb21490 | 12,382 | py | Python | ciphrtxt/keys.py | jadeblaquiere/ciphrtxt-lib | cf0f18986d6e88527fd69d6b38980f3cce90d733 | [
"MIT"
] | null | null | null | ciphrtxt/keys.py | jadeblaquiere/ciphrtxt-lib | cf0f18986d6e88527fd69d6b38980f3cce90d733 | [
"MIT"
] | null | null | null | ciphrtxt/keys.py | jadeblaquiere/ciphrtxt-lib | cf0f18986d6e88527fd69d6b38980f3cce90d733 | [
"MIT"
] | null | null | null | # Copyright (c) 2016, Joseph deBlaquiere <jadeblaquiere@yahoo.com>
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice, this
# list of conditions... | 34.586592 | 80 | 0.530044 |
eccd8de47c67b350f2309402463ada6c62d41f97 | 12,355 | py | Python | killerbee/dev_sl_beehive.py | lopessec/killerbee | c236d626e297815bdc401695cd6c8a6c9e353c38 | [
"BSD-3-Clause"
] | 653 | 2015-04-01T18:29:08.000Z | 2022-03-18T09:05:22.000Z | killerbee/dev_sl_beehive.py | lopessec/killerbee | c236d626e297815bdc401695cd6c8a6c9e353c38 | [
"BSD-3-Clause"
] | 189 | 2015-04-23T03:37:34.000Z | 2022-03-15T07:23:17.000Z | killerbee/dev_sl_beehive.py | lopessec/killerbee | c236d626e297815bdc401695cd6c8a6c9e353c38 | [
"BSD-3-Clause"
] | 223 | 2015-04-07T10:12:18.000Z | 2022-03-25T17:39:26.000Z | '''
Support for the Silabs based version of "BeeHive" SNIFFER/ INJECTOR firmware
Author: Adam Laurie <adam@algroup.co.uk> aka RFIDiot
'''
import usb # type: ignore
import serial # type: ignore
import time # type: ignore
import struct # type: ignore
from datetime import datetime, date # type: ignore
from datetime impo... | 37.439394 | 194 | 0.591906 |
4e0e9a8710c7b2e32b577f088dc7b79e5661430a | 51,672 | py | Python | distributed/tests/test_scheduler.py | sodre/distributed | 0b68318112b13d70a9cdd741e5db00da2ec6a8f5 | [
"BSD-3-Clause"
] | null | null | null | distributed/tests/test_scheduler.py | sodre/distributed | 0b68318112b13d70a9cdd741e5db00da2ec6a8f5 | [
"BSD-3-Clause"
] | null | null | null | distributed/tests/test_scheduler.py | sodre/distributed | 0b68318112b13d70a9cdd741e5db00da2ec6a8f5 | [
"BSD-3-Clause"
] | 1 | 2020-11-25T04:42:07.000Z | 2020-11-25T04:42:07.000Z | import asyncio
import cloudpickle
import pickle
from collections import defaultdict
from datetime import timedelta
import json
import operator
import sys
from time import sleep
import logging
import dask
from dask import delayed
from toolz import merge, concat, valmap, first, frequencies
from tornado import gen
impor... | 27.930811 | 105 | 0.628193 |
24f6b007b526b29157011f3b1e9abdbd50bacc8e | 5,846 | py | Python | tensorflow/contrib/eager/python/examples/densenet/densenet_graph_test.py | PaulWang1905/tensorflow | ebf12d22b4801fb8dab5034cc94562bf7cc33fa0 | [
"Apache-2.0"
] | 848 | 2019-12-03T00:16:17.000Z | 2022-03-31T22:53:17.000Z | tensorflow/contrib/eager/python/examples/densenet/densenet_graph_test.py | PaulWang1905/tensorflow | ebf12d22b4801fb8dab5034cc94562bf7cc33fa0 | [
"Apache-2.0"
] | 656 | 2019-12-03T00:48:46.000Z | 2022-03-31T18:41:54.000Z | tensorflow/contrib/eager/python/examples/densenet/densenet_graph_test.py | PaulWang1905/tensorflow | ebf12d22b4801fb8dab5034cc94562bf7cc33fa0 | [
"Apache-2.0"
] | 506 | 2019-12-03T00:46:26.000Z | 2022-03-30T10:34:56.000Z | # Copyright 2018 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applica... | 38.20915 | 80 | 0.637701 |
d9aa07a1ad9eebfbf37228d3c16a083c87428778 | 985 | py | Python | 2-resources/__DATA-Structures/Code-Challenges/cc71meanMedianMode/solution.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 2-resources/__DATA-Structures/Code-Challenges/cc71meanMedianMode/solution.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | 2-resources/__DATA-Structures/Code-Challenges/cc71meanMedianMode/solution.py | eengineergz/Lambda | 1fe511f7ef550aed998b75c18a432abf6ab41c5f | [
"MIT"
] | null | null | null | # https://youtu.be/r0xWh4QqS9Q
# https://piazza.com/class/j63w1pdyopf7kj?cid=83
from functools import reduce
from collections import Counter
def findMean(numbers):
sum = reduce(lambda x, y: x + y, numbers)
mean = sum / len(numbers)
return mean
def findMedian(numbers):
numbers.sort()
mid = len(numbers) // 2... | 22.386364 | 51 | 0.670051 |
f275a6a09e630fafaaea35972234756573fc95db | 4,277 | py | Python | dmriprep/cli/tests/test_parser.py | arokem/dmriprep | f5080e9a9e2ea62114d56f811e694ae36ae082b0 | [
"Apache-2.0"
] | 53 | 2019-09-14T21:30:46.000Z | 2021-12-20T10:35:34.000Z | dmriprep/cli/tests/test_parser.py | nipreps/dmriprep | 510ed0ea207ac3744b6afb1c4a19360f02e8a846 | [
"Apache-2.0"
] | 161 | 2019-07-23T16:30:55.000Z | 2022-03-29T10:29:15.000Z | dmriprep/cli/tests/test_parser.py | GalBenZvi/dmriprep | 7c4c0e1b01e3d941a7fafcbb6b001605cb1f2b0b | [
"Apache-2.0"
] | 28 | 2019-09-05T21:09:53.000Z | 2022-01-02T15:29:19.000Z | # emacs: -*- mode: python; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
#
# Copyright 2021 The NiPreps Developers <nipreps@gmail.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... | 30.55 | 84 | 0.647884 |
ad7eddeb0249f3ae388d54170d2781d8f9eab6b8 | 1,585 | py | Python | app/recognition/views.py | piotrdubiel/scribeserver | 81aa56d89bfc912a624952618bb7be400b0070e8 | [
"MIT"
] | null | null | null | app/recognition/views.py | piotrdubiel/scribeserver | 81aa56d89bfc912a624952618bb7be400b0070e8 | [
"MIT"
] | null | null | null | app/recognition/views.py | piotrdubiel/scribeserver | 81aa56d89bfc912a624952618bb7be400b0070e8 | [
"MIT"
] | null | null | null | from flask import Blueprint, request
from tempfile import TemporaryFile
from app.users import api_authorize
from .models import Prediction
from .cnn.classify import read
import struct
import os
blueprint = Blueprint('recognition', __name__)
from pysbp import Classifier
path = os.path.abspath(os.path.dirname(__file__)... | 29.351852 | 66 | 0.573502 |
479418f17c5378e6b329e21dd45a984d0bf8eaee | 9,645 | py | Python | ckan/views/__init__.py | irev/ckan | 00947b6dd9611c88ca74500258cbf4e3c5a82c2f | [
"BSD-3-Clause"
] | null | null | null | ckan/views/__init__.py | irev/ckan | 00947b6dd9611c88ca74500258cbf4e3c5a82c2f | [
"BSD-3-Clause"
] | 2 | 2021-09-09T03:24:13.000Z | 2022-03-31T23:04:14.000Z | ckan/views/__init__.py | irev/ckan | 00947b6dd9611c88ca74500258cbf4e3c5a82c2f | [
"BSD-3-Clause"
] | 2 | 2020-05-13T14:01:14.000Z | 2021-04-10T20:22:54.000Z | # encoding: utf-8
from sqlalchemy import inspect
from ckan.common import asbool
import six
from urllib.parse import quote
from werkzeug.utils import import_string, cached_property
import ckan.model as model
import ckan.lib.api_token as api_token
from ckan.common import g, request, config, session
from ckan.lib.helpe... | 35.590406 | 78 | 0.630793 |
5a4e335e0c7c4a65324d3521c51e2a650630e7dc | 21,532 | py | Python | tests/trainer/logging_/test_eval_loop_logging.py | JamesRandom/pytorch-lightning | f6a5bb2eee18e23c1a15013750c82539f399e9da | [
"Apache-2.0"
] | 4 | 2021-07-27T14:39:02.000Z | 2022-03-07T10:57:13.000Z | tests/trainer/logging_/test_eval_loop_logging.py | JamesRandom/pytorch-lightning | f6a5bb2eee18e23c1a15013750c82539f399e9da | [
"Apache-2.0"
] | null | null | null | tests/trainer/logging_/test_eval_loop_logging.py | JamesRandom/pytorch-lightning | f6a5bb2eee18e23c1a15013750c82539f399e9da | [
"Apache-2.0"
] | null | null | null | # Copyright The PyTorch Lightning team.
#
# 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 i... | 34.286624 | 120 | 0.630689 |
0f62d25df27b150ea8d9393175627ca06a123ede | 1,541 | py | Python | 09_multi-scale_local_planar_guidance_for_monocular_depth_estimation/01_float32/02_replace_input.py | khanfarhan10/PINTO_model_zoo | 4cad2e506d8c0fb604aa7b5f84115a840ab59ba1 | [
"MIT"
] | 1,529 | 2019-12-11T13:36:23.000Z | 2022-03-31T18:38:27.000Z | 09_multi-scale_local_planar_guidance_for_monocular_depth_estimation/01_float32/02_replace_input.py | khanfarhan10/PINTO_model_zoo | 4cad2e506d8c0fb604aa7b5f84115a840ab59ba1 | [
"MIT"
] | 200 | 2020-01-06T09:24:42.000Z | 2022-03-31T17:29:08.000Z | 09_multi-scale_local_planar_guidance_for_monocular_depth_estimation/01_float32/02_replace_input.py | khanfarhan10/PINTO_model_zoo | 4cad2e506d8c0fb604aa7b5f84115a840ab59ba1 | [
"MIT"
] | 288 | 2020-02-21T14:56:02.000Z | 2022-03-30T03:00:35.000Z | import tensorflow as tf
from tensorflow.tools.graph_transforms import TransformGraph
with tf.compat.v1.Session() as sess:
# shape=[1, ?, ?, 3] -> shape=[1, 480, 640, 3]
# name='image' specifies the placeholder name of the converted model
inputs = tf.compat.v1.placeholder(tf.float32, shape=[1, 480, 640, 3]... | 49.709677 | 134 | 0.653472 |
615637bc1e850b0749392f36b4c92d597d154505 | 191 | py | Python | twitterscraper/controllers/system.py | David-Lor/twitterscraper | ceb334e0251ffce19e45fa2a9ed21b856d6d66d5 | [
"0BSD"
] | null | null | null | twitterscraper/controllers/system.py | David-Lor/twitterscraper | ceb334e0251ffce19e45fa2a9ed21b856d6d66d5 | [
"0BSD"
] | null | null | null | twitterscraper/controllers/system.py | David-Lor/twitterscraper | ceb334e0251ffce19e45fa2a9ed21b856d6d66d5 | [
"0BSD"
] | null | null | null | from twitterscraper.services.persistence import Repository
def db_migrate():
Repository.run_migrations()
def db_generate_migration(name: str):
Repository.generate_migration(name)
| 19.1 | 58 | 0.801047 |
2ccdc1640c78ded6dc16b3390fdae355f56e7e20 | 625 | py | Python | api/app/celery.py | LeiSoft/CueObserve | cc5254df7d0cb817a8b3ec427f5cb54a1d420f7e | [
"Apache-2.0"
] | null | null | null | api/app/celery.py | LeiSoft/CueObserve | cc5254df7d0cb817a8b3ec427f5cb54a1d420f7e | [
"Apache-2.0"
] | null | null | null | api/app/celery.py | LeiSoft/CueObserve | cc5254df7d0cb817a8b3ec427f5cb54a1d420f7e | [
"Apache-2.0"
] | null | null | null | import os
from django.conf import settings
from celery import Celery
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "app.settings")
app = Celery(
"app", broker=settings.REDIS_BROKER_URL, backend=settings.CELERY_RESULT_BACKEND
)
# app.config_from_object("django.conf:settings")
app.conf.task_routes = settings.CEL... | 24.038462 | 83 | 0.7824 |
588a051b752d49397d92e6dbc15fdcee06808972 | 6,624 | py | Python | opc/opc.py | intelburn/opcu | 7fe05a24551ecbe1d7aa20de06688e677c25460e | [
"Apache-2.0"
] | null | null | null | opc/opc.py | intelburn/opcu | 7fe05a24551ecbe1d7aa20de06688e677c25460e | [
"Apache-2.0"
] | 4 | 2018-04-11T13:14:05.000Z | 2018-04-11T19:29:05.000Z | opc/opc.py | intelburn/opcu | 7fe05a24551ecbe1d7aa20de06688e677c25460e | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""Python Client library for Open Pixel Control
http://github.com/zestyping/openpixelcontrol
Sends pixel values to an Open Pixel Control server to be displayed.
http://openpixelcontrol.org/
Recommended use:
import opc
# Create a client object
client = opc.Client('localhost:7890')
... | 35.805405 | 134 | 0.603563 |
41ad917c21ac38810abc92509af442b542af8efb | 2,627 | py | Python | tests/test_config_handler_resolve_config_file.py | BastiTee/pype-cli | e676ec5d536b6c48c6033c56962bd15687489aaf | [
"Apache-2.0"
] | 1 | 2020-11-24T17:31:30.000Z | 2020-11-24T17:31:30.000Z | tests/test_config_handler_resolve_config_file.py | BastiTee/pype-cli | e676ec5d536b6c48c6033c56962bd15687489aaf | [
"Apache-2.0"
] | 4 | 2019-10-29T06:17:12.000Z | 2021-02-12T20:39:17.000Z | tests/test_config_handler_resolve_config_file.py | BastiTee/pype-cli | e676ec5d536b6c48c6033c56962bd15687489aaf | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""pype.config_handler.resolve_config_file."""
from os import environ, path
import pytest
from pype.config_handler import (DEFAULT_CONFIG, ConfigResolverSource,
PypeConfigHandler)
from pype.constants import ENV_CONFIG_FOLDER
from pype.exceptions import PypeExc... | 43.065574 | 78 | 0.665778 |
a8ac00e43e47a9cabbf7208493dcb6113f881c68 | 399 | py | Python | tests/data/test_data.py | kosuke55/cameramodels | a650d8bffcc40475ca344bc14f6708a8c0366d7e | [
"MIT"
] | 9 | 2020-04-25T08:36:17.000Z | 2022-02-16T11:22:34.000Z | tests/data/test_data.py | kosuke55/cameramodels | a650d8bffcc40475ca344bc14f6708a8c0366d7e | [
"MIT"
] | 6 | 2020-08-03T22:02:44.000Z | 2020-09-24T15:28:05.000Z | tests/data/test_data.py | kosuke55/cameramodels | a650d8bffcc40475ca344bc14f6708a8c0366d7e | [
"MIT"
] | 1 | 2020-08-04T17:16:39.000Z | 2020-08-04T17:16:39.000Z | import unittest
from cameramodels.data import kinect_v2_camera_info
from cameramodels.data import kinect_v2_image
from cameramodels import PinholeCameraModel
class TestData(unittest.TestCase):
def test_kinect_v2_image(self):
kinect_v2_image()
def test_kinect_v2_camera_info(self):
info_path ... | 24.9375 | 52 | 0.794486 |
c9adce2981b4ae4361facdb46a0e7485c1efe363 | 5,474 | py | Python | tests/test_converters/test_all.py | eli-schwartz/dephell | f3e07b497e3ad7998e563b1a4c5ad9f023834d36 | [
"MIT"
] | null | null | null | tests/test_converters/test_all.py | eli-schwartz/dephell | f3e07b497e3ad7998e563b1a4c5ad9f023834d36 | [
"MIT"
] | null | null | null | tests/test_converters/test_all.py | eli-schwartz/dephell | f3e07b497e3ad7998e563b1a4c5ad9f023834d36 | [
"MIT"
] | null | null | null | # external
import attr
import pytest
# built-in
from pathlib import Path
# project
from dephell import converters
from dephell.controllers import Graph
from dephell.models import Requirement
from dephell.repositories import WareHouseRepo
@pytest.mark.parametrize('converter, path', [
(converters.PIPConverter(loc... | 42.107692 | 119 | 0.673182 |
6c780284cb6d511c1cb12a84626345f0c6749688 | 338 | py | Python | bdtr/__init__.py | ffreemt/baidu-tr-free | d0f2400d1f23f3a6af850cc0813b0e107376a3b7 | [
"MIT"
] | 1 | 2019-07-17T09:23:27.000Z | 2019-07-17T09:23:27.000Z | bdtr/__init__.py | ffreemt/baidu-tr-free | d0f2400d1f23f3a6af850cc0813b0e107376a3b7 | [
"MIT"
] | 2 | 2019-11-28T11:29:00.000Z | 2021-02-28T02:33:11.000Z | bdtr/__init__.py | ffreemt/baidu-tr-free | d0f2400d1f23f3a6af850cc0813b0e107376a3b7 | [
"MIT"
] | 1 | 2019-10-17T00:35:38.000Z | 2019-10-17T00:35:38.000Z | from .bdtr import bdtr, GTK # , TOKEN, BAIDUID
from .get_baiduid_token import get_baiduid_token
from .js2py_sign import js2py_sign
# version__ = '0.0.4'
# version__ = '0.0.5' # 2019-11-21
# version = '0.0.7' # 2020-02-12
# version__ = '0.0.9' # 2020-02-27
__version__ = '0.0.10' # 2020-02-28
VERSION = tuple(__vers... | 30.727273 | 48 | 0.674556 |
bade01f42d87957c6e87d48ac0caeb6aa6a28571 | 5,191 | py | Python | homeassistant/components/mysensors/cover.py | yarikoptic/hass-core-gtdiehl-iotawatt | 32dfaccf1fab5ce6d7ab73a3dee7c9aa4c93351d | [
"Apache-2.0"
] | 1 | 2020-12-18T12:23:04.000Z | 2020-12-18T12:23:04.000Z | homeassistant/components/mysensors/cover.py | yarikoptic/hass-core-gtdiehl-iotawatt | 32dfaccf1fab5ce6d7ab73a3dee7c9aa4c93351d | [
"Apache-2.0"
] | 46 | 2021-01-06T07:05:22.000Z | 2022-03-31T06:05:25.000Z | homeassistant/components/mysensors/cover.py | krzkowalczyk/home-assistant | 513685bbeacca2c758d3ca33b337da3b7e72dd1d | [
"Apache-2.0"
] | 1 | 2020-10-26T08:05:39.000Z | 2020-10-26T08:05:39.000Z | """Support for MySensors covers."""
from enum import Enum, unique
import logging
from typing import Callable
from homeassistant.components import mysensors
from homeassistant.components.cover import ATTR_POSITION, DOMAIN, CoverEntity
from homeassistant.components.mysensors import on_unload
from homeassistant.component... | 34.377483 | 80 | 0.650356 |
f404fb4634a8bca9d6046015a02acdd22258da58 | 1,670 | py | Python | utils/Keychain.py | XDwightsBeetsX/discord-bots | 2ceaad8a2c63cecfdf063dbf5afcf64e18447814 | [
"MIT"
] | null | null | null | utils/Keychain.py | XDwightsBeetsX/discord-bots | 2ceaad8a2c63cecfdf063dbf5afcf64e18447814 | [
"MIT"
] | null | null | null | utils/Keychain.py | XDwightsBeetsX/discord-bots | 2ceaad8a2c63cecfdf063dbf5afcf64e18447814 | [
"MIT"
] | null | null | null | # A compact way of storing Key-Values
# Able to check against the globals.REQUIRED Key-Values
from .globals import *
class Keychain(object):
"""
An easier way to keep track of important keys that might be used against you.
- `addKeyValue` - update `self.KeysDict`
- `hasAllRequired` - check if `se... | 31.509434 | 93 | 0.616168 |
864732180d0ad3e20366df5ecef5d8b437a7edf4 | 401 | py | Python | lecture_03/204_robot_from_github.py | farzanehesk/COMPAS-II-FS2022 | 857eb40000f0532d0c04689331eadefd38dce6b7 | [
"MIT"
] | 11 | 2022-01-24T15:07:15.000Z | 2022-03-29T12:58:05.000Z | lecture_03/204_robot_from_github.py | farzanehesk/COMPAS-II-FS2022 | 857eb40000f0532d0c04689331eadefd38dce6b7 | [
"MIT"
] | 4 | 2022-03-16T06:06:45.000Z | 2022-03-29T22:59:11.000Z | lecture_03/204_robot_from_github.py | farzanehesk/COMPAS-II-FS2022 | 857eb40000f0532d0c04689331eadefd38dce6b7 | [
"MIT"
] | 20 | 2022-03-02T10:36:41.000Z | 2022-03-09T00:12:33.000Z | from compas.robots import GithubPackageMeshLoader
from compas.robots import RobotModel
# Select Github repository, package and branch where the model is stored
r = "ros-industrial/abb"
p = "abb_irb6600_support"
b = "kinetic-devel"
github = GithubPackageMeshLoader(r, p, b)
urdf = github.load_urdf("irb6640.urdf")
# Cr... | 25.0625 | 72 | 0.785536 |
3bb42860eecb21e8692261c4410247a1e52b8a0f | 980 | py | Python | src/contacts/migrations/0001_initial.py | pubuser7/btre-project | b0bc7591722285d955a31d898d14fcbe1158a8d3 | [
"MIT"
] | null | null | null | src/contacts/migrations/0001_initial.py | pubuser7/btre-project | b0bc7591722285d955a31d898d14fcbe1158a8d3 | [
"MIT"
] | 1 | 2019-12-04T23:14:28.000Z | 2019-12-04T23:14:28.000Z | src/contacts/migrations/0001_initial.py | pubuser7/btre-project | b0bc7591722285d955a31d898d14fcbe1158a8d3 | [
"MIT"
] | null | null | null | # Generated by Django 2.2.2 on 2019-06-20 12:06
from django.db import migrations, models
import django.utils.timezone
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Contact',
fields=[
... | 32.666667 | 114 | 0.579592 |
4e8066d46bdb7acc9660a55d0896f44b5fd0aab5 | 2,930 | py | Python | modules/nn/attention.py | notani/ntua-slp-semeval2018 | 2d6e03d37210a91fbc0ff99f44a4449abc59210c | [
"MIT"
] | 84 | 2018-05-25T08:26:38.000Z | 2021-12-23T06:15:08.000Z | modules/nn/attention.py | notani/ntua-slp-semeval2018 | 2d6e03d37210a91fbc0ff99f44a4449abc59210c | [
"MIT"
] | 16 | 2018-06-06T15:09:45.000Z | 2022-01-15T09:17:14.000Z | modules/nn/attention.py | notani/ntua-slp-semeval2018 | 2d6e03d37210a91fbc0ff99f44a4449abc59210c | [
"MIT"
] | 33 | 2018-06-05T18:13:29.000Z | 2022-02-04T00:54:12.000Z | from torch import nn, torch
from torch.autograd import Variable
from config import DEVICE
class SelfAttention(nn.Module):
def __init__(self, attention_size,
batch_first=False,
layers=1,
dropout=.0,
non_linearity="tanh"):
super(SelfAttent... | 33.295455 | 76 | 0.511945 |
51ba4786629983fb05ee644d5c034ae8f699115f | 660 | py | Python | tilosutils/consume_with_pool.py | dertilo/util | bb0e23c84bffc781035f7251d5133d767127e09b | [
"MIT"
] | null | null | null | tilosutils/consume_with_pool.py | dertilo/util | bb0e23c84bffc781035f7251d5133d767127e09b | [
"MIT"
] | null | null | null | tilosutils/consume_with_pool.py | dertilo/util | bb0e23c84bffc781035f7251d5133d767127e09b | [
"MIT"
] | null | null | null | import multiprocessing
from typing import Callable
from typing import Iterable
from typing import Optional
consumer: Optional[Callable] = None
def init_fun(consumer_supplier):
global consumer # pylint: disable=global-statement
consumer = consumer_supplier()
def worker_fun(datum):
global consumer # py... | 27.5 | 84 | 0.766667 |
97dfb12330ebb8a202fb5dea0eb082c24aad73ce | 1,148 | py | Python | md/auction_json.py | luke777/marketdesign | 9d70dfcb31d327599e5e841879bb294108957e56 | [
"MIT"
] | null | null | null | md/auction_json.py | luke777/marketdesign | 9d70dfcb31d327599e5e841879bb294108957e56 | [
"MIT"
] | null | null | null | md/auction_json.py | luke777/marketdesign | 9d70dfcb31d327599e5e841879bb294108957e56 | [
"MIT"
] | null | null | null | from md.auction import Bid, Bidder, Problem
from json import JSONEncoder
class ObjectEncoder(JSONEncoder):
def default(self, o):
dct = o.__dict__
# Remove None keys with value None
return {k: v for k, v in dct.items() if v is not None}
def decode_bid(dct):
for k in ['label', 'winning... | 28.7 | 106 | 0.607143 |
25bc18f312ce3b46e19ce88b01c7174cab5d6326 | 991 | py | Python | rookie/mysite/migrations/0040_roleinfo.py | chen1932390299/drf-backend-platform | 80c2fb56c5c3c1456196d2415e3173600d190457 | [
"Apache-2.0"
] | 1 | 2021-07-02T09:05:51.000Z | 2021-07-02T09:05:51.000Z | rookie/mysite/migrations/0040_roleinfo.py | chen1932390299/drf-backend-platform | 80c2fb56c5c3c1456196d2415e3173600d190457 | [
"Apache-2.0"
] | null | null | null | rookie/mysite/migrations/0040_roleinfo.py | chen1932390299/drf-backend-platform | 80c2fb56c5c3c1456196d2415e3173600d190457 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.2.2 on 2021-08-02 19:10
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('mysite', '0039_auto_20210802_1651'),
]
operations = [
migrations.CreateModel(
name='RoleInfo',
fields=[
... | 34.172414 | 114 | 0.540868 |
60dbf6bb8e77a9f96db2c1fa388560e26030b696 | 916 | py | Python | yozuch/generators/post_item_collection.py | akrylysov/yozuch | 0eb6206c8c2fff806a8901456cfc4cc338052a95 | [
"BSD-3-Clause"
] | 32 | 2015-02-01T16:35:21.000Z | 2022-03-14T00:50:32.000Z | yozuch/generators/post_item_collection.py | akrylysov/yozuch | 0eb6206c8c2fff806a8901456cfc4cc338052a95 | [
"BSD-3-Clause"
] | 6 | 2015-06-19T10:58:35.000Z | 2019-04-07T16:38:01.000Z | yozuch/generators/post_item_collection.py | akrylysov/yozuch | 0eb6206c8c2fff806a8901456cfc4cc338052a95 | [
"BSD-3-Clause"
] | 1 | 2017-01-21T18:51:11.000Z | 2017-01-21T18:51:11.000Z | from yozuch import logger
from yozuch.generators.template import TemplateEntry, TemplateGenerator
from yozuch.utils import format_url_from_object
class PostItemCollectionGenerator(TemplateGenerator):
def __init__(self, collection_name, item_name, url_template, name, template):
super().__init__(url_templa... | 41.636364 | 104 | 0.700873 |
3e2859ff2973a330cf0e66810fd9edfb80942c3d | 4,056 | py | Python | ucsmsdk/mometa/fabric/FabricVConProfile.py | thinkitdata/ucsmsdk | da6599e1dbc1207a30eabe548a7e5791af5f476b | [
"Apache-2.0"
] | null | null | null | ucsmsdk/mometa/fabric/FabricVConProfile.py | thinkitdata/ucsmsdk | da6599e1dbc1207a30eabe548a7e5791af5f476b | [
"Apache-2.0"
] | null | null | null | ucsmsdk/mometa/fabric/FabricVConProfile.py | thinkitdata/ucsmsdk | da6599e1dbc1207a30eabe548a7e5791af5f476b | [
"Apache-2.0"
] | null | null | null | """This module contains the general information for FabricVConProfile ManagedObject."""
from ...ucsmo import ManagedObject
from ...ucscoremeta import MoPropertyMeta, MoMeta
from ...ucsmeta import VersionMeta
class FabricVConProfileConsts:
INT_ID_NONE = "none"
MEZZ_MAPPING_LINEAR_ORDERED = "linear-ordered"
... | 59.647059 | 304 | 0.655079 |
8d14e48b03130c4c6aea357e823d649935eff273 | 1,433 | py | Python | docs/source/reading_rdf/add_from_string_python.py | aram148/libOmexMeta | 331a0a48570a212aaa2b6cb3fe72b9f43ac828af | [
"Apache-2.0"
] | null | null | null | docs/source/reading_rdf/add_from_string_python.py | aram148/libOmexMeta | 331a0a48570a212aaa2b6cb3fe72b9f43ac828af | [
"Apache-2.0"
] | null | null | null | docs/source/reading_rdf/add_from_string_python.py | aram148/libOmexMeta | 331a0a48570a212aaa2b6cb3fe72b9f43ac828af | [
"Apache-2.0"
] | null | null | null | from pyomexmeta import RDF, eUriType
rdf_str1 = """@prefix rdf: <http://www.w3.org/1999/02/22-rdf-syntax-ns#> .
@prefix OMEXlib: <http://omex-library.org/> .
@prefix myOMEX: <http://omex-library.org/NewOmex.omex/> .
@prefix local: <http://omex-library.org/NewOmex.omex/New... | 49.413793 | 135 | 0.628053 |
949a10583e1009e0023beac9ad4f0239c69c328e | 5,097 | py | Python | examples/semi-supervised-crossencoder/lib/evaluation.py | Aatlantise/sentence-transformers | d02411e378acc996aae9b7a13a73eaa1bb1ec298 | [
"Apache-2.0"
] | null | null | null | examples/semi-supervised-crossencoder/lib/evaluation.py | Aatlantise/sentence-transformers | d02411e378acc996aae9b7a13a73eaa1bb1ec298 | [
"Apache-2.0"
] | null | null | null | examples/semi-supervised-crossencoder/lib/evaluation.py | Aatlantise/sentence-transformers | d02411e378acc996aae9b7a13a73eaa1bb1ec298 | [
"Apache-2.0"
] | null | null | null | import math
import numpy as np
from sklearn.metrics.cluster import v_measure_score, adjusted_rand_score
class ClusterEvaluation:
'''
groundtruthlabels and predicted_clusters should be two list, for example:
groundtruthlabels = [0, 0, 1, 1], that means the 0th and 1th data is in cluster 0,
and the 2th ... | 37.20438 | 118 | 0.633706 |
02b2ef4166921e6c5b320e6204a4b2808e4fe58a | 2,559 | py | Python | super6_recolector.py | nelson-lz/collect-prices | 28c723a5ccda825f7c694b021c338fbf0a248754 | [
"MIT"
] | null | null | null | super6_recolector.py | nelson-lz/collect-prices | 28c723a5ccda825f7c694b021c338fbf0a248754 | [
"MIT"
] | 1 | 2021-11-27T14:24:40.000Z | 2021-11-27T14:24:40.000Z | super6_recolector.py | nelson-lz/collect-prices | 28c723a5ccda825f7c694b021c338fbf0a248754 | [
"MIT"
] | null | null | null | import datos
import time
import requests
from bs4 import BeautifulSoup
PAGE_INDEX ="?pageindex="
url = "https://www.superseis.com.py/default.aspx"
enlaces_categorias = {}
enlaces_categorias['links']= []
def recorrer_pagina_categoria(link_cateogrie):
for i in range(50):
req = requests.get(link_cateogrie+P... | 35.541667 | 92 | 0.611958 |
a348d60d7110c4dfb6d82a4ce4b0cab17f3aa3a1 | 944 | py | Python | models/tf/lstm.py | iCGY96/Model-Pivot | bfe0fde3c58ab701fbf8c7861954fed240684e90 | [
"MIT"
] | 11 | 2018-12-06T14:20:28.000Z | 2020-03-18T14:38:32.000Z | models/tf/lstm.py | iCGY96/Model-Pivot | bfe0fde3c58ab701fbf8c7861954fed240684e90 | [
"MIT"
] | 4 | 2018-12-12T07:05:55.000Z | 2020-01-28T23:12:48.000Z | models/tf/lstm.py | iCGY96/Model-Pivot | bfe0fde3c58ab701fbf8c7861954fed240684e90 | [
"MIT"
] | 2 | 2018-12-11T12:37:44.000Z | 2020-03-26T08:23:19.000Z | import numpy as np
import tensorflow as tf
BATCH_SIZE = 1
LSTM_UNITS = 128
def test(x, model_path):
x = np.reshape(x, (-1, 224 * 224 * 3))
with tf.variable_scope('LSTM'):
data_input = tf.placeholder(name='input',
dtype=tf.float32,
... | 32.551724 | 71 | 0.611229 |
029f3188297bea55dff8051f2d10bc0e66039cd9 | 38,454 | py | Python | external/mysql/mysql-connector-python-8.0.11/lib/mysqlx/statement.py | Army-Ant/ArmyAntServer | 3e292b9d38dd53807b03748fc767970dc8adbfb0 | [
"BSD-3-Clause"
] | 1 | 2018-05-30T01:38:23.000Z | 2018-05-30T01:38:23.000Z | Others/Source/17/17.1/dbapp/mysqlx/statement.py | silence0201/Learn-Python | 662da7c0e74221cedb445ba17d5cb1cd3af41c86 | [
"MIT"
] | null | null | null | Others/Source/17/17.1/dbapp/mysqlx/statement.py | silence0201/Learn-Python | 662da7c0e74221cedb445ba17d5cb1cd3af41c86 | [
"MIT"
] | null | null | null | # Copyright (c) 2016, 2018, Oracle and/or its affiliates. All rights reserved.
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License, version 2.0, as
# published by the Free Software Foundation.
#
# This program is also distributed with certain s... | 33.672504 | 80 | 0.575571 |
930cbefd5fa136ea29bdbfba76207beacd46d430 | 303 | py | Python | django_stomp/exceptions.py | juntossomosmais/django-stomp | 65e7cb86f8f6e2336a2739df8f33f985c9b4c792 | [
"MIT"
] | 32 | 2019-06-10T13:24:11.000Z | 2021-12-17T21:00:41.000Z | django_stomp/exceptions.py | juntossomosmais/django-stomp | 65e7cb86f8f6e2336a2739df8f33f985c9b4c792 | [
"MIT"
] | 26 | 2019-12-17T12:51:00.000Z | 2022-02-16T16:13:14.000Z | django_stomp/exceptions.py | juntossomosmais/django-stomp | 65e7cb86f8f6e2336a2739df8f33f985c9b4c792 | [
"MIT"
] | 1 | 2021-09-11T03:55:30.000Z | 2021-09-11T03:55:30.000Z | class CorrelationIdNotProvidedException(Exception):
pass
class DjangoStompImproperlyConfigured(Exception):
pass
class DjangoStompIncorrectUse(Exception):
"""
Raised when Django stomp has been invoked in a wrong manner such as
less arguments than it needs, etc.
"""
pass
| 18.9375 | 71 | 0.735974 |
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