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69cc9a1f6a639563622f0c9fe9107b2a2258bf9f | 6,079 | py | Python | img4.py | clayfreeman/img4 | e2d8f05ca5ba4c9d445dff5f8a6b3b4cf48d3bf2 | [
"MIT"
] | null | null | null | img4.py | clayfreeman/img4 | e2d8f05ca5ba4c9d445dff5f8a6b3b4cf48d3bf2 | [
"MIT"
] | null | null | null | img4.py | clayfreeman/img4 | e2d8f05ca5ba4c9d445dff5f8a6b3b4cf48d3bf2 | [
"MIT"
] | null | null | null | # SPDX-License-Identifier: MIT
# Greetings to:
# - https://www.theiphonewiki.com/wiki/IMG4_File_Format
# - https://github.com/tihmstar/img4tool/
# - https://lapo.it/asn1js/
# - hexdump tool of choice
import restruct
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser()
parser.... | 29.225962 | 132 | 0.550584 | # SPDX-License-Identifier: MIT
# Greetings to:
# - https://www.theiphonewiki.com/wiki/IMG4_File_Format
# - https://github.com/tihmstar/img4tool/
# - https://lapo.it/asn1js/
# - hexdump tool of choice
import functools
from asn1crypto.core import (
Enumerated, Choice, Sequence, SequenceOf, SetOf,
Integer, IA5Str... | 0 | 0 | 0 | 2,092 | 0 | 58 | 0 | 151 | 504 |
9f9edf6016950ee307ec6bab15c4f6306ef09f36 | 2,328 | py | Python | scripts/pughpore/plot_diff_ahem.py | jhwnkim/nanopores | 98b3dbb5d36464fbdc03f59d224d38e4255324ce | [
"MIT"
] | null | null | null | scripts/pughpore/plot_diff_ahem.py | jhwnkim/nanopores | 98b3dbb5d36464fbdc03f59d224d38e4255324ce | [
"MIT"
] | null | null | null | scripts/pughpore/plot_diff_ahem.py | jhwnkim/nanopores | 98b3dbb5d36464fbdc03f59d224d38e4255324ce | [
"MIT"
] | null | null | null | # (c) 2017 Gregor Mitscha-Baude
from matplotlib import pyplot as plt
from nanopores.tools import fields
fields.set_dir_dropbox()
from nanopores.models.diffusion_ahem import diff_profile_z_ahem
# params for precomputed diffusivity
params = dict(dim=2, Nmax=1e5, h=.5, ahemqsuniform=True, rMolecule=0.11)
#ap1 = 18
#ap2 ... | 27.388235 | 85 | 0.693299 | # (c) 2017 Gregor Mitscha-Baude
from matplotlib import pyplot as plt
import numpy as np
import dolfin
from nanopores.tools import fields
fields.set_dir_dropbox()
from nanopores.models.nanopore import Setup
from nanopores.geometries.alphahempoly import poly
from nanopores.geometries.alphahem import default
from nanopore... | 0 | 0 | 0 | 0 | 0 | 193 | 0 | 118 | 178 |
a417f4cdb25dac12c25d28f2f1b5f38a475ca13e | 320 | py | Python | codewars/src/multiples_digits_sum.py | wenima/math-series | 60aa0b0c845bd859a1bf936c7e200f60ecfce026 | [
"MIT"
] | null | null | null | codewars/src/multiples_digits_sum.py | wenima/math-series | 60aa0b0c845bd859a1bf936c7e200f60ecfce026 | [
"MIT"
] | null | null | null | codewars/src/multiples_digits_sum.py | wenima/math-series | 60aa0b0c845bd859a1bf936c7e200f60ecfce026 | [
"MIT"
] | 1 | 2019-10-03T07:38:06.000Z | 2019-10-03T07:38:06.000Z | """This module solves kata https://www.codewars.com/kata/multiples-and-digit-sums/train/python."""
def procedure(i):
"""Return an integer derived by first finding all multiples of i up to 100,
then summing all up digit sums of all multiples."""
return sum(int(d) for i in range(n, 101, n) for d in str(i))
| 40 | 98 | 0.7 | """This module solves kata https://www.codewars.com/kata/multiples-and-digit-sums/train/python."""
def procedure(i):
"""Return an integer derived by first finding all multiples of i up to 100,
then summing all up digit sums of all multiples."""
return sum(int(d) for i in range(n, 101, n) for d in str(i))
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
36e541780526915a358b17b1f29530895478a06a | 1,869 | py | Python | tests/show_drive.py | jmscslgroup/privpurge | f21fa1e05c5e15ea9ed3b3f720aabb151afcc51e | [
"BSD-2-Clause"
] | null | null | null | tests/show_drive.py | jmscslgroup/privpurge | f21fa1e05c5e15ea9ed3b3f720aabb151afcc51e | [
"BSD-2-Clause"
] | 4 | 2021-04-12T17:58:41.000Z | 2021-08-01T12:35:57.000Z | tests/show_drive.py | jmscslgroup/privpurge | f21fa1e05c5e15ea9ed3b3f720aabb151afcc51e | [
"BSD-2-Clause"
] | null | null | null | import folium
import os
if __name__ == "__main__":
cwd = os.getcwd()
args = get_args()
plot_privpurge(
os.path.join(cwd, args.zonefile),
os.path.join(cwd, args.directory),
filename=args.output,
)
| 26.7 | 86 | 0.579989 | import json
import folium
import folium.plugins
import tempfile
import os
import re
def plot_privpurge(message, outdir, filename=None):
if filename is None:
filename = "~map_" + next(tempfile._get_candidate_names()) + ".html"
my_map = folium.Map()
for fl in [
f for f in os.listdir(outdi... | 0 | 0 | 0 | 0 | 0 | 1,503 | 0 | -34 | 157 |
b5646fff9a5543547a5f966f926aa2fd063a36b3 | 8,249 | py | Python | autopycoin/utils/data_utils_test.py | AutocoinLab/autopycoin | d091292517c3429d5cc2dfeb513c644b506af9cf | [
"Apache-2.0"
] | 3 | 2021-09-26T14:04:25.000Z | 2022-02-10T09:52:00.000Z | autopycoin/utils/data_utils_test.py | AutocoinLab/autopycoin | d091292517c3429d5cc2dfeb513c644b506af9cf | [
"Apache-2.0"
] | 24 | 2021-09-26T14:04:27.000Z | 2022-02-11T13:32:06.000Z | autopycoin/utils/data_utils_test.py | AutocoinLab/autopycoin | d091292517c3429d5cc2dfeb513c644b506af9cf | [
"Apache-2.0"
] | null | null | null | # pylint: skip-file
"""
Unit test for data utils functions.
"""
| 30.439114 | 88 | 0.534731 | # pylint: skip-file
"""
Unit test for data utils functions.
"""
import numpy as np
import pandas as pd
import pytest
import tensorflow as tf
from tensorflow import test
from .data_utils import quantiles_handler, example_handler, fill_none
from ..data import random_ts
from ..dataset import WindowGenerator
class Ch... | 0 | 7,074 | 0 | 769 | 0 | 0 | 0 | 66 | 271 |
462a6cefdccfc40c9c840424ec8ddc04070744bd | 12,923 | py | Python | packages/adminrouter/extra/src/test-harness/modules/mocker/endpoints/generic.py | makkes/dcos | a6df70f3f58ead134c8c49af8fa1387b4f81c19c | [
"Apache-2.0"
] | 1 | 2019-04-26T17:46:37.000Z | 2019-04-26T17:46:37.000Z | packages/adminrouter/extra/src/test-harness/modules/mocker/endpoints/generic.py | makkes/dcos | a6df70f3f58ead134c8c49af8fa1387b4f81c19c | [
"Apache-2.0"
] | 720 | 2017-02-08T04:04:19.000Z | 2021-09-14T14:04:56.000Z | packages/adminrouter/extra/src/test-harness/modules/mocker/endpoints/generic.py | makkes/dcos | a6df70f3f58ead134c8c49af8fa1387b4f81c19c | [
"Apache-2.0"
] | 14 | 2017-02-08T03:57:24.000Z | 2019-10-28T12:14:49.000Z | # Copyright (C) Mesosphere, Inc. See LICENSE file for details.
"""
Shared code for DC/OS endpoints mocks used by AR instances, both EE and Open.
"""
import logging
# pylint: disable=C0103
log = logging.getLogger(__name__)
# Just a dict would be no good as we want to have threading lock initialization
# as well.
# p... | 36.922857 | 108 | 0.630349 | # Copyright (C) Mesosphere, Inc. See LICENSE file for details.
"""
Shared code for DC/OS endpoints mocks used by AR instances, both EE and Open.
"""
import abc
import http.server
import logging
import os
import socket
import socketserver
import ssl
import threading
# pylint: disable=C0103
log = logging.getLogger(__n... | 0 | 207 | 0 | 11,970 | 0 | 0 | 0 | -52 | 291 |
9ec35e51357b9666792505fb9f52a9e1ad10e223 | 24,247 | py | Python | dspn/train.py | FlorianSchroevers/dspn | 8bd2fe9b336099da8c18c9ce716c00e7cf1ca0b6 | [
"MIT"
] | null | null | null | dspn/train.py | FlorianSchroevers/dspn | 8bd2fe9b336099da8c18c9ce716c00e7cf1ca0b6 | [
"MIT"
] | null | null | null | dspn/train.py | FlorianSchroevers/dspn | 8bd2fe9b336099da8c18c9ce716c00e7cf1ca0b6 | [
"MIT"
] | null | null | null |
import torch
import matplotlib
matplotlib.use("Qt5Agg")
if __name__ == "__main__":
try:
main()
except KeyboardInterrupt:
print("Process interrupted by user, emptying cache...")
torch.cuda.empty_cache()
| 33.352132 | 79 | 0.479894 | import os
import argparse
from datetime import datetime
import time
import torch
import torch.nn.functional as F
import torch.multiprocessing as mp
import numpy as np
import pandas as pd
from tqdm import tqdm
import matplotlib
import matplotlib.pyplot as plt
from tensorboardX import SummaryWriter
import data
import... | 0 | 0 | 0 | 0 | 0 | 23,664 | 0 | -12 | 356 |
8dce960a7b6703eb2654296841d98428d993d7fa | 6,284 | py | Python | classes/Math.py | lekevin42/discord_music_single | fcf30cf33f8bd5b8f2a16dba7f32600024700213 | [
"MIT"
] | null | null | null | classes/Math.py | lekevin42/discord_music_single | fcf30cf33f8bd5b8f2a16dba7f32600024700213 | [
"MIT"
] | 1 | 2017-07-28T14:51:13.000Z | 2017-07-28T20:27:46.000Z | classes/Math.py | lekevin42/discord_music_single | fcf30cf33f8bd5b8f2a16dba7f32600024700213 | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
main()
| 20.739274 | 106 | 0.60837 | import math
class Math:
def __init__(self, eq):
self.equation = eq
self.equation_list = None
def print_equation(self):
print(self.equation)
def remove_spaces(self):
self.equation = self.equation.replace(" ", "")
def split_equation(self):
self.equation_list = self.equation.split(" ")
def is_ope... | 0 | 0 | 0 | 6,039 | 0 | 139 | 0 | -10 | 69 |
07faafb2470cb4cfac7096981ce820ce593ba511 | 3,824 | py | Python | examples/statistics.py | chiluf/visvis.dev | 373846ea25044b7ca50f44c63dab4248e14deacd | [
"BSD-3-Clause"
] | null | null | null | examples/statistics.py | chiluf/visvis.dev | 373846ea25044b7ca50f44c63dab4248e14deacd | [
"BSD-3-Clause"
] | null | null | null | examples/statistics.py | chiluf/visvis.dev | 373846ea25044b7ca50f44c63dab4248e14deacd | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
""" This example a coupe of ways to visualize statistic data.
As an example I took the monthly temperature in the region where I live
(Twente, The Netherlands) over the period 1983-2010.
This data was extracted from publicly available data obtained from the
Royal Netherlands Meteorological Inst... | 39.020408 | 77 | 0.656642 | #!/usr/bin/env python
""" This example a coupe of ways to visualize statistic data.
As an example I took the monthly temperature in the region where I live
(Twente, The Netherlands) over the period 1983-2010.
This data was extracted from publicly available data obtained from the
Royal Netherlands Meteorological Inst... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cdd3664562efc356638d927e7302539928cb2b06 | 1,320 | py | Python | tests/terraform/checks/resource/gcp/test_CloudStorageLogging.py | kylelaker/checkov | 6eada26030a87f397a6bf1831827b3dc6c5dad2d | [
"Apache-2.0"
] | 4,013 | 2019-12-09T13:16:54.000Z | 2022-03-31T14:31:01.000Z | tests/terraform/checks/resource/gcp/test_CloudStorageLogging.py | kylelaker/checkov | 6eada26030a87f397a6bf1831827b3dc6c5dad2d | [
"Apache-2.0"
] | 1,258 | 2019-12-17T09:55:51.000Z | 2022-03-31T19:17:17.000Z | tests/terraform/checks/resource/gcp/test_CloudStorageLogging.py | kylelaker/checkov | 6eada26030a87f397a6bf1831827b3dc6c5dad2d | [
"Apache-2.0"
] | 638 | 2019-12-19T08:57:38.000Z | 2022-03-30T21:38:37.000Z | import unittest
if __name__ == '__main__':
unittest.main()
| 33 | 82 | 0.625 | import unittest
import hcl2
from checkov.common.models.enums import CheckResult
from checkov.terraform.checks.resource.gcp.CloudStorageLogging import check
class TestCloudStorageLogging(unittest.TestCase):
def test_failure(self):
hcl_res = hcl2.loads("""
resource "google_storage_bucket" "loggin... | 0 | 0 | 0 | 1,090 | 0 | 0 | 0 | 74 | 91 |
d3b5b655afd498b598dfe9266c76d3818cd93340 | 26,166 | py | Python | models/cifar/resnet.py | HRanWang/imagenet_whr | fcfe830c7889a7239d3f791de192d6121f8c316f | [
"MIT"
] | 1 | 2019-10-19T15:30:02.000Z | 2019-10-19T15:30:02.000Z | models/cifar/resnet.py | HRanWang/imagenet_whr | fcfe830c7889a7239d3f791de192d6121f8c316f | [
"MIT"
] | null | null | null | models/cifar/resnet.py | HRanWang/imagenet_whr | fcfe830c7889a7239d3f791de192d6121f8c316f | [
"MIT"
] | null | null | null | from __future__ import absolute_import
'''Resnet for cifar dataset.
Ported form
https://github.com/facebook/fb.resnet.torch
and
https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py
(c) YANG, Wei
'''
import torch.nn as nn
__all__ = ['resnet','resnet50']
def conv3x3(in_planes, out_planes, stride=... | 41.798722 | 150 | 0.613697 | from __future__ import absolute_import
'''Resnet for cifar dataset.
Ported form
https://github.com/facebook/fb.resnet.torch
and
https://github.com/pytorch/vision/blob/master/torchvision/models/resnet.py
(c) YANG, Wei
'''
import torch.nn as nn
import math
import torch
import numpy as np
__all__ = ['resnet','resnet50']... | 0 | 0 | 0 | 24,637 | 0 | 529 | 0 | -22 | 340 |
1c293d539578de6f1ef7fcad8bd8b118b92f8704 | 824 | py | Python | src/python/misc/serifxml_round_trip.py | BBN-E/text-open | c508f6caeaa51a43cdb0bc27d8ed77e5750fdda9 | [
"Apache-2.0"
] | 2 | 2022-03-24T14:37:51.000Z | 2022-03-24T19:56:45.000Z | src/python/misc/serifxml_round_trip.py | BBN-E/text-open | c508f6caeaa51a43cdb0bc27d8ed77e5750fdda9 | [
"Apache-2.0"
] | null | null | null | src/python/misc/serifxml_round_trip.py | BBN-E/text-open | c508f6caeaa51a43cdb0bc27d8ed77e5750fdda9 | [
"Apache-2.0"
] | null | null | null | # Read in serifxml then save it an make sure the files are
# essentially identical
import sys, os
script_dir = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.join(script_dir, ".."))
import serifxml3
if len(sys.argv) != 3:
print("Usage: " + sys.argv[0] + " input-serifxml-file output-serifxml-... | 21.684211 | 80 | 0.713592 | # Read in serifxml then save it an make sure the files are
# essentially identical
import sys, os
script_dir = os.path.dirname(os.path.realpath(__file__))
sys.path.append(os.path.join(script_dir, ".."))
import serifxml3
if len(sys.argv) != 3:
print("Usage: " + sys.argv[0] + " input-serifxml-file output-serifxml-... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8ae9ce3f0d275395b8f614a561a53d141570dcb2 | 707 | py | Python | SeRe/tools/data_pre/filename2txt.py | Anny-Anny/SeRe | 2483269c5b5b36673b8893bb026689d731226cb8 | [
"MIT"
] | null | null | null | SeRe/tools/data_pre/filename2txt.py | Anny-Anny/SeRe | 2483269c5b5b36673b8893bb026689d731226cb8 | [
"MIT"
] | null | null | null | SeRe/tools/data_pre/filename2txt.py | Anny-Anny/SeRe | 2483269c5b5b36673b8893bb026689d731226cb8 | [
"MIT"
] | null | null | null |
ROOT = '/home/xjw/Downloads/code/mmsegmentation-0.21.0/'
def txt2filename(txt_path):
"""
@param txt_path:
@return:
"""
data = []
with open(txt_path, 'r') as f:
for ch in f.readlines():
data.append(ch.strip())
return data
if __name__ == '__main__':
filename2txt... | 23.566667 | 98 | 0.592645 | import os
ROOT = '/home/xjw/Downloads/code/mmsegmentation-0.21.0/'
def filename2txt(filepath, txt_path):
with open(txt_path, 'w+') as f:
for root, dirs, files in os.walk(filepath):
for name in files:
f.write(name.split(".")[0] + '\n')
f.close()
def txt2filename(txt_path)... | 48 | 0 | 0 | 0 | 0 | 200 | 0 | -12 | 45 |
e38cea4dfc6f41ac44fabb67e89d4f818b54bb37 | 1,013 | py | Python | Python/Multiflex_set_binary_mode.py | Terabee/sample_codes | a58676f5e7fec1dfcacc5269515b3ef069b01ec7 | [
"MIT"
] | 13 | 2019-06-24T05:34:08.000Z | 2022-01-16T08:37:37.000Z | Python/Multiflex_set_binary_mode.py | Terabee/sample_codes | a58676f5e7fec1dfcacc5269515b3ef069b01ec7 | [
"MIT"
] | 8 | 2019-08-28T17:30:23.000Z | 2021-10-01T17:07:23.000Z | Python/Multiflex_set_binary_mode.py | Terabee/sample_codes | a58676f5e7fec1dfcacc5269515b3ef069b01ec7 | [
"MIT"
] | 10 | 2019-04-30T20:19:41.000Z | 2021-02-10T19:32:39.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Example TeraRanger MultiFlex configuration script.
For more information about how to use this script, please refer to this document:
https://www.terabee.com/wp-content/uploads/2017/09/TR-MF-Python-ReadMe.pdf
"""
import sys
import binascii
import serial
if __name__ ==... | 26.657895 | 81 | 0.642646 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Example TeraRanger MultiFlex configuration script.
For more information about how to use this script, please refer to this document:
https://www.terabee.com/wp-content/uploads/2017/09/TR-MF-Python-ReadMe.pdf
"""
import sys
import binascii
import serial
if __name__ ==... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
aecbe0d40235ca0fe8d7b8b6e024663d65c7ef43 | 1,236 | py | Python | homepage/migrations/0007_userprofile_follows.py | Andre-Azu/instagramclone | 94906c7d2f88c24c156b19a96ab0edf619c67277 | [
"Unlicense"
] | null | null | null | homepage/migrations/0007_userprofile_follows.py | Andre-Azu/instagramclone | 94906c7d2f88c24c156b19a96ab0edf619c67277 | [
"Unlicense"
] | null | null | null | homepage/migrations/0007_userprofile_follows.py | Andre-Azu/instagramclone | 94906c7d2f88c24c156b19a96ab0edf619c67277 | [
"Unlicense"
] | null | null | null | # Generated by Django 4.0 on 2021-12-15 07:28
| 38.625 | 146 | 0.615696 | # Generated by Django 4.0 on 2021-12-15 07:28
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('homepage', '0006_image_comments_image_likes'),
]
operations = [
migrations.CreateModel(
name='Use... | 0 | 0 | 0 | 1,091 | 0 | 0 | 0 | 30 | 68 |
5cbfbd355f1a6d92f9d29c7c9a4593dc242bdb15 | 5,347 | py | Python | gateapi-python/gate_api/models/options_underlying_ticker.py | jarenmt/IEOPUMP | 220f7f612d299f7305e82fe6c33661e6871f2d86 | [
"MIT"
] | null | null | null | gateapi-python/gate_api/models/options_underlying_ticker.py | jarenmt/IEOPUMP | 220f7f612d299f7305e82fe6c33661e6871f2d86 | [
"MIT"
] | null | null | null | gateapi-python/gate_api/models/options_underlying_ticker.py | jarenmt/IEOPUMP | 220f7f612d299f7305e82fe6c33661e6871f2d86 | [
"MIT"
] | null | null | null | # coding: utf-8
"""
Gate API v4
Welcome to Gate.io API APIv4 provides spot, margin and futures trading operations. There are public APIs to retrieve the real-time market statistics, and private APIs which needs authentication to trade on user's behalf. # noqa: E501
Contact: support@mail.gate.io
Gen... | 31.452941 | 239 | 0.616607 | # coding: utf-8
"""
Gate API v4
Welcome to Gate.io API APIv4 provides spot, margin and futures trading operations. There are public APIs to retrieve the real-time market statistics, and private APIs which needs authentication to trade on user's behalf. # noqa: E501
Contact: support@mail.gate.io
Gen... | 0 | 1,825 | 0 | 3,030 | 0 | 0 | 0 | -4 | 128 |
f5b61b7592684510eb43bc9ae6e4136074f3f566 | 577 | py | Python | accounts/admin.py | GermanMtzmx/mailtest | 9ec3f51344e6968698f8313ef987fca4d2907cdf | [
"Xnet",
"X11"
] | null | null | null | accounts/admin.py | GermanMtzmx/mailtest | 9ec3f51344e6968698f8313ef987fca4d2907cdf | [
"Xnet",
"X11"
] | null | null | null | accounts/admin.py | GermanMtzmx/mailtest | 9ec3f51344e6968698f8313ef987fca4d2907cdf | [
"Xnet",
"X11"
] | null | null | null |
#admin.site.register(User, UserAdmin)
#admin.site.register(SocialToken, SocialTokenAdmin)
| 19.896552 | 51 | 0.637782 | from django.contrib import admin
class UserAdmin(admin.ModelAdmin):
"""User admin"""
exclude = ('renewed',)
list_display = ('username', 'email',
'isActive', 'created', 'modified')
list_filter = ('isActive',)
search_fields = ('firstName',
'lastName', 'username', 'email')
class... | 0 | 0 | 0 | 402 | 0 | 0 | 0 | 11 | 68 |
13568121b4814c3d81c59418c50fdd6901e9fb77 | 379 | py | Python | exercises/exercise26.py | djangojeng-e/TIL | bdbe1dfb6ebc48b89067fddda195227cca64b8dc | [
"MIT"
] | null | null | null | exercises/exercise26.py | djangojeng-e/TIL | bdbe1dfb6ebc48b89067fddda195227cca64b8dc | [
"MIT"
] | null | null | null | exercises/exercise26.py | djangojeng-e/TIL | bdbe1dfb6ebc48b89067fddda195227cca64b8dc | [
"MIT"
] | null | null | null |
birthday_dictionary = {
"Albert Einstein" : "1/12/1912",
"Jeong Eun Kim" : "21/12/1983",
"Djangojeng-e" : "18/12/1986",
"Django": "01/01/2005"
}
name = input("Who's Birthday do you want to look up?")
if name in birthday_dictionary:
print(f'{name}s birthday is {birthday_dictionary[name]}')
else... | 21.055556 | 62 | 0.630607 |
birthday_dictionary = {
"Albert Einstein" : "1/12/1912",
"Jeong Eun Kim" : "21/12/1983",
"Djangojeng-e" : "18/12/1986",
"Django": "01/01/2005"
}
name = input("Who's Birthday do you want to look up?")
if name in birthday_dictionary:
print(f'{name}s birthday is {birthday_dictionary[name]}')
else... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
49d3502c205ec9a70b70b5cd9b2d3a0fa593abcc | 1,621 | py | Python | Dice Rolling Simulator/dice_game.py | Hongyanlee0614/Cool-Python-Projects | 4e35822b696674221636ede1b86acc0793305c18 | [
"MIT"
] | null | null | null | Dice Rolling Simulator/dice_game.py | Hongyanlee0614/Cool-Python-Projects | 4e35822b696674221636ede1b86acc0793305c18 | [
"MIT"
] | null | null | null | Dice Rolling Simulator/dice_game.py | Hongyanlee0614/Cool-Python-Projects | 4e35822b696674221636ede1b86acc0793305c18 | [
"MIT"
] | null | null | null | import tkinter # for GUI
from PIL import Image, ImageTk # operation regarding image
import random
# toplevel widget which represents the main window of an application
root = tkinter.Tk()
root.geometry('400x400')
root.title('Data Flair Roll the Dice')
# Adding label into the frame. Here we skip a line
l0 =... | 30.018519 | 80 | 0.687847 | import tkinter # for GUI
from PIL import Image, ImageTk # operation regarding image
import random
# toplevel widget which represents the main window of an application
root = tkinter.Tk()
root.geometry('400x400')
root.title('Data Flair Roll the Dice')
# Adding label into the frame. Here we skip a line
l0 =... | 0 | 0 | 0 | 0 | 0 | 171 | 0 | 0 | 25 |
e1bc973a11687fa3e830c8942a5ed3120eac2208 | 197 | py | Python | fetch_gitignore/__init__.py | clickyotomy/git-fetch-gitignore | f534abf491f15ac85540fcb6ff5c6a9837c9b14e | [
"MIT"
] | 3 | 2016-09-16T12:19:36.000Z | 2019-08-08T20:24:57.000Z | fetch_gitignore/__init__.py | clickyotomy/git-fetch-gitignore | f534abf491f15ac85540fcb6ff5c6a9837c9b14e | [
"MIT"
] | null | null | null | fetch_gitignore/__init__.py | clickyotomy/git-fetch-gitignore | f534abf491f15ac85540fcb6ff5c6a9837c9b14e | [
"MIT"
] | null | null | null | #! /usr/bin/env python2.7
'''
__init__ file for fetch_gitignore.
'''
__author__ = "Srinidhi Kaushik"
__license__ = "MIT"
__version__ = "0.0.1"
__email__ = "clickyotomy@users.noreply.github.com"
| 16.416667 | 50 | 0.715736 | #! /usr/bin/env python2.7
'''
__init__ file for fetch_gitignore.
'''
__author__ = "Srinidhi Kaushik"
__license__ = "MIT"
__version__ = "0.0.1"
__email__ = "clickyotomy@users.noreply.github.com"
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2a4e2a2f19d2573e61fe39bb7dc94a42dc9ed626 | 3,030 | py | Python | lista07_listaEncadeada/pylista07_questao06.py | mayararysia/ESTD | 65aa8816aa8773066201cb410b02c1cb72ad5611 | [
"MIT"
] | null | null | null | lista07_listaEncadeada/pylista07_questao06.py | mayararysia/ESTD | 65aa8816aa8773066201cb410b02c1cb72ad5611 | [
"MIT"
] | null | null | null | lista07_listaEncadeada/pylista07_questao06.py | mayararysia/ESTD | 65aa8816aa8773066201cb410b02c1cb72ad5611 | [
"MIT"
] | null | null | null | """
06.
Escreva um mtodo show() para escrever toda a lista. Exemplo: lista = ListaOrdenada();
lista.append(3); lista.append(2); lista.show() imprime: [2,3]
"""
#Implementao da Classe Noh
#Lista no ordenada:
if __name__ == '__main__':
minha_lista = ListaOrdenada() #exemplo de uso
print(minha_lista.isEmpty())
mi... | 23.129771 | 86 | 0.593729 | """
06.
Escreva um método show() para escrever toda a lista. Exemplo: lista = ListaOrdenada();
lista.append(3); lista.append(2); lista.show() imprime: [2,3]
"""
#Implementação da Classe Noh
class Noh:
def __init__(self,valor_inicial):
self._dados = valor_inicial
self._proximo = None
def getData(self):
... | 8 | 0 | 0 | 2,496 | 0 | 0 | 0 | 0 | 44 |
b2524167a78952f075171b4993c8cca048abf2dd | 901 | py | Python | experiment/hyper-params-search/hps/common/Common.py | GyunHyukLee/GoldMine | 93d765934cd8c4e152f12dc1a9677bd77ea64f28 | [
"Apache-2.0"
] | 13 | 2020-06-01T06:31:01.000Z | 2021-03-08T04:57:01.000Z | experiment/hyper-params-search/hps/common/Common.py | GyunHyukLee/GoldMine | 93d765934cd8c4e152f12dc1a9677bd77ea64f28 | [
"Apache-2.0"
] | 1 | 2020-10-13T08:56:38.000Z | 2020-10-13T08:56:38.000Z | experiment/hyper-params-search/hps/common/Common.py | GyunHyukLee/GoldMine | 93d765934cd8c4e152f12dc1a9677bd77ea64f28 | [
"Apache-2.0"
] | 7 | 2020-06-03T01:46:22.000Z | 2021-03-08T04:57:04.000Z | # -*- coding: utf-8 -*-
# Author : Jin Kim
# e-mail : jinkim@seculayer.com
# Powered by Seculayer 2020 Solution Development 2 Team, R&D Center.
# class : Common
| 32.178571 | 93 | 0.7303 | # -*- coding: utf-8 -*-
# Author : Jin Kim
# e-mail : jinkim@seculayer.com
# Powered by Seculayer © 2020 Solution Development 2 Team, R&D Center.
import os
from hps.common.Constants import Constants
from hps.utils.Singleton import Singleton
from hps.utils.MPLogger import MPLogger
from hps.utils.CommonUtils import Co... | 2 | 0 | 0 | 531 | 0 | 0 | 0 | 71 | 134 |
57d9b30c8c5f267a7385f0b7589bbb8355313743 | 2,306 | py | Python | posto/webhook/auth.py | tefra/posto | 95cc39348f0c59339d9b7038d8640510849a2805 | [
"MIT"
] | null | null | null | posto/webhook/auth.py | tefra/posto | 95cc39348f0c59339d9b7038d8640510849a2805 | [
"MIT"
] | 1 | 2022-01-27T09:37:28.000Z | 2022-01-27T09:40:50.000Z | posto/webhook/auth.py | tefra/posto | 95cc39348f0c59339d9b7038d8640510849a2805 | [
"MIT"
] | null | null | null | import hmac
from typing import Callable
from typing import Optional
from flask import current_app
from flask import request
from werkzeug.exceptions import ServiceUnavailable
def authorize_source() -> Callable:
"""Detect the source from the headers and authenticate by the config
secret."""
return decorat... | 25.622222 | 80 | 0.645707 | import functools
import hmac
from typing import Any
from typing import Callable
from typing import Optional
from flask import abort
from flask import current_app
from flask import request
from werkzeug.exceptions import ServiceUnavailable
def authorize_source() -> Callable:
"""Detect the source from the headers ... | 0 | 419 | 0 | 0 | 0 | 73 | 0 | -2 | 94 |
e509428d899feeca516dab5cb1e43ec7ec393808 | 15,280 | py | Python | python/pysvso/optimizers/icp.py | mfkiwl/SEMANTIC_VISUAL_SUPPORTED_ODEMETRY | 2249bf358f51b337eb52a347ea7d46bff0654576 | [
"Apache-2.0"
] | 191 | 2020-07-01T11:57:17.000Z | 2022-03-23T12:40:43.000Z | python/pysvso/optimizers/icp.py | mfkiwl/SEMANTIC_VISUAL_SUPPORTED_ODEMETRY | 2249bf358f51b337eb52a347ea7d46bff0654576 | [
"Apache-2.0"
] | 10 | 2020-07-06T12:41:51.000Z | 2022-02-09T23:43:11.000Z | python/pysvso/optimizers/icp.py | mfkiwl/SEMANTIC_VISUAL_SUPPORTED_ODEMETRY | 2249bf358f51b337eb52a347ea7d46bff0654576 | [
"Apache-2.0"
] | 45 | 2020-07-01T13:31:20.000Z | 2022-02-03T07:21:42.000Z | import numpy as np
# when point cloud is parse
# see FLANN manual https://www.cs.ubc.ca/research/flann/uploads/FLANN/flann_manual-1.8.4.pdf
# remember to run 2to3 upon root of the source when you complete downloading the codes!
# used to build computation graph with
import tensorflow.compat.v1 as tf
tf.disable_v2_beh... | 30.499002 | 142 | 0.532199 | import numpy as np
from enum import Enum
from pysvso.lib.maths.rotation import Euler, Quaternion, rotation_matrix, dRx, dRy, dRz
from scipy.optimize import fmin_bfgs
from scipy.optimize import fmin
from scipy.optimize import minimize
from scipy.optimize import approx_fprime
# when point cloud is parse
from sklearn.nei... | 3 | 0 | 0 | 14,065 | 0 | 0 | 0 | 146 | 312 |
7f93836e41dc7de37d20c9086ad3bdf24f6efdd0 | 938 | py | Python | train.py | tfandkusu/food101-tflite | be09912a8b7c398a348eb86a1b216356e56cbe13 | [
"Apache-2.0"
] | 7 | 2019-05-12T22:44:37.000Z | 2021-06-07T08:29:58.000Z | train.py | tfkeras/food101-tflite | be09912a8b7c398a348eb86a1b216356e56cbe13 | [
"Apache-2.0"
] | null | null | null | train.py | tfkeras/food101-tflite | be09912a8b7c398a348eb86a1b216356e56cbe13 | [
"Apache-2.0"
] | 3 | 2019-06-04T12:08:43.000Z | 2020-04-23T18:09:29.000Z | import tensorflow as tf
import model
import data
#
g = data.Data()
# GPU
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
sess = tf.Session(config=config)
tf.keras.backend.set_session(sess)
#
model = model.make(tflite=False)
#
optimizer = tf.keras.optimizers.Adam(lr=0.001)
model.compile(optimizer=op... | 26.8 | 66 | 0.749467 | import tensorflow as tf
import model
import data
# 訓練データ作成担当
g = data.Data()
# GPUをすべて使わないオプション
config = tf.ConfigProto()
config.gpu_options.allow_growth = True
sess = tf.Session(config=config)
tf.keras.backend.set_session(sess)
# モデルを作成
model = model.make(tflite=False)
# 最適化を定義
optimizer = tf.keras.optimizers.Adam(lr... | 210 | 0 | 0 | 113 | 0 | 0 | 0 | 0 | 22 |
511eaa58ab745f5d34d4945e2abfe854d6b5c2c5 | 1,305 | py | Python | tools/ui2py.py | BYUCamachoLab/autogator | 464d43d797c58a03263527bb7fdc737adb045c75 | [
"MIT"
] | null | null | null | tools/ui2py.py | BYUCamachoLab/autogator | 464d43d797c58a03263527bb7fdc737adb045c75 | [
"MIT"
] | 2 | 2021-05-04T15:46:46.000Z | 2022-02-14T19:18:38.000Z | tools/ui2py.py | BYUCamachoLab/autogator | 464d43d797c58a03263527bb7fdc737adb045c75 | [
"MIT"
] | 2 | 2019-09-09T20:33:02.000Z | 2019-09-25T21:44:46.000Z | #! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright Autogator Project Contributors
# Licensed under the terms of the MIT License
# (see autogator/__init__.py for details)
"""
Tool that converts all .ui and .qrc files in the autogator.resources folder to
python files in autogator.compiled.
Usage:
$ python3 u... | 31.071429 | 85 | 0.616092 | #! /usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright © Autogator Project Contributors
# Licensed under the terms of the MIT License
# (see autogator/__init__.py for details)
"""
Tool that converts all .ui and .qrc files in the autogator.resources folder to
python files in autogator.compiled.
Usage:
$ python3 ... | 2 | 0 | 0 | 0 | 0 | 0 | 0 | -11 | 23 |
ae43fe8255d01b1bdd638bd84beb9976436c8118 | 1,117 | py | Python | Resize.py | PENGsBIT/PIL-demo | 36181d79ca6ab9fe177d734ab20ec093a9ba2246 | [
"Apache-2.0"
] | null | null | null | Resize.py | PENGsBIT/PIL-demo | 36181d79ca6ab9fe177d734ab20ec093a9ba2246 | [
"Apache-2.0"
] | null | null | null | Resize.py | PENGsBIT/PIL-demo | 36181d79ca6ab9fe177d734ab20ec093a9ba2246 | [
"Apache-2.0"
] | null | null | null | # -*-coding:utf-8-*-
| 32.852941 | 97 | 0.617726 | # -*-coding:utf-8-*-
import numpy as np
from PIL import Image
from scipy import misc
def resize(img):
# img = Image.open(cirFileName)
# w, h = img.size
# # 去掉浮点，防报错
# w, h = round(w * 0.2), round(h * 0.2)
img = img.resize((200, 200), Image.ANTIALIAS).convert("RGBA")
return img
def getResultA... | 24 | 0 | 0 | 0 | 0 | 976 | 0 | -2 | 112 |
f179ba977ded22d79e6b5ab337596e7134fe8e7c | 2,023 | py | Python | .ipynb_checkpoints/settings-checkpoint.py | dbbabcock/data_690_ai_the_toy_show | 97614cdaa1d7204abd1c30b5463976578be6a67d | [
"MIT"
] | null | null | null | .ipynb_checkpoints/settings-checkpoint.py | dbbabcock/data_690_ai_the_toy_show | 97614cdaa1d7204abd1c30b5463976578be6a67d | [
"MIT"
] | null | null | null | .ipynb_checkpoints/settings-checkpoint.py | dbbabcock/data_690_ai_the_toy_show | 97614cdaa1d7204abd1c30b5463976578be6a67d | [
"MIT"
] | null | null | null | import torch
import torchvision
def load_stored_resnet_model(categories, file_path):
'''Adapted from NVIDIA DLI Course Code: Getting Started with AI on Jetson Nano'''
print("Loading stored classification model...")
# If we're on the Jetson Nano use cuda, otherwise cpu:
device = torch.device("cuda:0... | 38.169811 | 92 | 0.638655 | from datetime import datetime
import torch
import torchvision
def __init__():
global toy_list, model_file_path, model, response_dict, computer_name, categories
toy_list = ['Minnie Mouse', 'Tigger', 'Horse', 'White Bear', 'Flamingo', 'Tiger Puppet',
'Elephant Puppet', 'Oriole', 'Black ... | 0 | 0 | 0 | 0 | 0 | 1,243 | 0 | 8 | 72 |
bfb54c2d2ea587f2eea3dd14e9aabadd7e86ef91 | 550 | py | Python | utea_web/moduli/migrations/0009_auto_20181003_1248.py | arol-varesi/utea_web | 36b04656b93b123d3805d25ee4e61c6ae68252ed | [
"MIT"
] | null | null | null | utea_web/moduli/migrations/0009_auto_20181003_1248.py | arol-varesi/utea_web | 36b04656b93b123d3805d25ee4e61c6ae68252ed | [
"MIT"
] | null | null | null | utea_web/moduli/migrations/0009_auto_20181003_1248.py | arol-varesi/utea_web | 36b04656b93b123d3805d25ee4e61c6ae68252ed | [
"MIT"
] | 1 | 2021-10-02T11:45:34.000Z | 2021-10-02T11:45:34.000Z | # Generated by Django 2.1.1 on 2018-10-03 10:48
| 22.916667 | 50 | 0.581818 | # Generated by Django 2.1.1 on 2018-10-03 10:48
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('moduli', '0008_auto_20181002_2154'),
]
operations = [
migrations.AlterField(
model_name='sigla',
name='descrizione',... | 0 | 0 | 0 | 436 | 0 | 0 | 0 | 19 | 46 |
9f9d45af4cae398c88e5f196080679db57c797e3 | 540 | py | Python | venv/lib/python3.8/site-packages/zif.py | Jn-mic/Projects-Portfolio | 642b9e58b81e8d505cc7462370e80fbab2945fd9 | [
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/zif.py | Jn-mic/Projects-Portfolio | 642b9e58b81e8d505cc7462370e80fbab2945fd9 | [
"MIT"
] | null | null | null | venv/lib/python3.8/site-packages/zif.py | Jn-mic/Projects-Portfolio | 642b9e58b81e8d505cc7462370e80fbab2945fd9 | [
"MIT"
] | null | null | null | import zipfile
# #
# file=zipfile.ZipFile('text.zip','w')#text.zip w
# file.write("class.py")#
# file.close()
#
# file=zipfile.ZipFile('text.zip','r')#
# file.extractall(path="../")#
#
fileobj=open("pwd.txt","r")#txt
for item in fileobj.readlines():
print(item.strip())#strip()
newpwd=item.str... | 25.714286 | 59 | 0.631481 | import zipfile
# #压缩
# file=zipfile.ZipFile('text.zip','w')#text.zip创建压缩包文件名 w读
# file.write("class.py")#压缩的文件名
# file.close()
#解压缩
# file=zipfile.ZipFile('text.zip','r')#写
# file.extractall(path="../")#写到哪个路径下 创建到卓面 默认是在跟慕入下面
#暴力破解加密的压缩包
fileobj=open("pwd.txt","r")#新建一个txt文件
for item in fileobj.readline... | 195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c8c11a61c01891c5110af5047097e53b2754d5ff | 2,155 | py | Python | feature_extraction/measurements/granularity.py | widoptimization-willett/feature-extraction | 25e963e3383673aad6aedfd504e69a1df7f47f9a | [
"Apache-2.0"
] | null | null | null | feature_extraction/measurements/granularity.py | widoptimization-willett/feature-extraction | 25e963e3383673aad6aedfd504e69a1df7f47f9a | [
"Apache-2.0"
] | null | null | null | feature_extraction/measurements/granularity.py | widoptimization-willett/feature-extraction | 25e963e3383673aad6aedfd504e69a1df7f47f9a | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
| 34.758065 | 117 | 0.706729 | # coding=utf-8
import numpy as np
import skimage
import skimage.morphology as morph
from . import Measurement
from ..util.cleanup import cell_aoi_and_clip
class Granularity(Measurement):
default_options = {
'subsampling': 2, # 2x downsampling
'element_size': 20,
'spectrum_length': 16,
# standard stuff
'... | 3 | 0 | 0 | 1,974 | 0 | 0 | 0 | 30 | 135 |
67995b2f86c3ae2b6a09815a02f81e478aa1eb27 | 12,847 | py | Python | virtnet_conf.py | gizmoguy/faucet-gui | 0055b29be284dfcc68e36f3f0f864c99c062376c | [
"Apache-2.0"
] | 16 | 2018-08-31T02:17:55.000Z | 2021-12-27T06:43:51.000Z | virtnet_conf.py | urantialife/faucet-gui | f9741a8c47da6fc6fb1a508c794e04bcb69cfef6 | [
"Apache-2.0"
] | 2 | 2018-08-31T04:02:09.000Z | 2021-06-04T13:27:48.000Z | virtnet_conf.py | urantialife/faucet-gui | f9741a8c47da6fc6fb1a508c794e04bcb69cfef6 | [
"Apache-2.0"
] | 9 | 2019-01-06T17:58:48.000Z | 2021-12-28T17:59:55.000Z | """
PROGRAM_NAME: virtnet_creator
FILE_NAME: conf.py
AUTHOR: Brendan Geoghegan
PROGRAM_DESCRIPTION: This program is a GUI application for users to build or load network topologies that
have a SDN controller at their center. The original code tied into a Xen loadout used to clone, startup, and
operate VMs, but this ... | 49.794574 | 120 | 0.592745 | """
PROGRAM_NAME: virtnet_creator
FILE_NAME: conf.py
AUTHOR: Brendan Geoghegan
PROGRAM_DESCRIPTION: This program is a GUI application for users to build or load network topologies that
have a SDN controller at their center. The original code tied into a Xen loadout used to clone, startup, and
operate VMs, but this ... | 0 | 0 | 0 | 12,017 | 0 | 0 | 0 | 0 | 23 |
9630077f65b7d28eba7099895195d4d403635301 | 339 | py | Python | StoryMap/apps/users/admin.py | LittleBai0606/StoryMap | 1169e763031f92ee6da65829fa9cbce1ebd991ad | [
"MIT"
] | 1 | 2021-11-01T05:58:25.000Z | 2021-11-01T05:58:25.000Z | StoryMap/apps/users/admin.py | LittleBai0606/StoryMap | 1169e763031f92ee6da65829fa9cbce1ebd991ad | [
"MIT"
] | null | null | null | StoryMap/apps/users/admin.py | LittleBai0606/StoryMap | 1169e763031f92ee6da65829fa9cbce1ebd991ad | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import UserProfile
# Register your models here.
admin.site.register(UserProfile, UserProfileAdmin)
| 24.214286 | 92 | 0.722714 | from django.contrib import admin
from .models import UserProfile
# Register your models here.
class UserProfileAdmin(admin.ModelAdmin):
fields = ['username', 'password', 'email', 'nickname', 'gender', 'birthday', 'avatar', ]
list_display = ['username', 'email', 'nickname']
admin.site.register(UserProfile,... | 0 | 0 | 0 | 168 | 0 | 0 | 0 | 0 | 23 |
df7a5da0ce6a0c9361b27bfdc4e070c0fb9fba67 | 2,013 | py | Python | turn_classification/turn_classification.py | team8/outdoor-blind-navigation | 78b99fe1a193161c4b809990c71940fbed719785 | [
"MIT"
] | 6 | 2021-05-18T16:46:04.000Z | 2022-01-08T02:49:27.000Z | turn_classification/turn_classification.py | aoberai/outdoor-blind-navigation | 78b99fe1a193161c4b809990c71940fbed719785 | [
"MIT"
] | 15 | 2021-05-19T23:40:50.000Z | 2021-07-06T08:24:40.000Z | turn_classification/turn_classification.py | aoberai/outdoor-blind-navigation | 78b99fe1a193161c4b809990c71940fbed719785 | [
"MIT"
] | 4 | 2021-05-26T02:10:43.000Z | 2021-09-04T17:59:51.000Z |
labels = ['Left Turn', 'No Turn', 'Right Turn']
model_path = "./turn_classification/turn_classification_model_final_v1.h5"
readings_buffer_size = 20
image_preprocessing_dimens = (100, 100)
detection_threshold = 0.5
| 38.711538 | 141 | 0.694983 | import cv2
import threading
import tensorflow as tf
import numpy as np
import time
import capturer
from utils.circularBuffer import CircularBuffer
labels = ['Left Turn', 'No Turn', 'Right Turn']
model_path = "./turn_classification/turn_classification_model_final_v1.h5"
readings_buffer_size = 20
image_preprocessing_dim... | 0 | 0 | 0 | 1,627 | 0 | 0 | 0 | -7 | 177 |
8a3a89d4511059d142d7dd9786e728c20d3522fe | 8,071 | py | Python | ardana_service/admin.py | ArdanaCLM/ardana-service | 680099101de36fce893ef6d138b75d778f92f182 | [
"Apache-2.0"
] | 1 | 2017-07-20T01:04:21.000Z | 2017-07-20T01:04:21.000Z | ardana_service/admin.py | GarySmith/ardana-service | 680099101de36fce893ef6d138b75d778f92f182 | [
"Apache-2.0"
] | null | null | null | ardana_service/admin.py | GarySmith/ardana-service | 680099101de36fce893ef6d138b75d778f92f182 | [
"Apache-2.0"
] | 2 | 2017-08-02T17:18:47.000Z | 2019-10-11T23:48:58.000Z | # (c) Copyright 2017-2019 SUSE LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | 26.813953 | 79 | 0.638087 | # (c) Copyright 2017-2019 SUSE LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writ... | 0 | 3,766 | 0 | 0 | 0 | 173 | 0 | -34 | 406 |
3a3491b43a5a2b9285bd18407b12c00d9f4f6e46 | 8,549 | py | Python | src/generate.py | josephnavarro/ascii-art-generator | 9317aaff92b58ab68a9598fdb89c95699bea4927 | [
"MIT"
] | null | null | null | src/generate.py | josephnavarro/ascii-art-generator | 9317aaff92b58ab68a9598fdb89c95699bea4927 | [
"MIT"
] | null | null | null | src/generate.py | josephnavarro/ascii-art-generator | 9317aaff92b58ab68a9598fdb89c95699bea4927 | [
"MIT"
] | null | null | null | #! usr/bin/env python3
"""
:
: Utility for generating ASCII art given an input image.
:
:
"""
UPPER = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
LOWER = "abcdefghijklmnopqrstuvwxyz"
DIGIT = "0123456789"
SYMBOL = "~!@#$%^&*()_+`-=[]{}|\\:;\"'<>?,./"
#CHARACTERS = UPPER + LOWER + DIGIT + SYMBOL
CHARACTERS ... | 30.208481 | 118 | 0.601474 | #! usr/bin/env python3
"""
:
: Utility for generating ASCII art given an input image.
:
:
"""
from src.ascii import *
from src.luminosity import *
UPPER = "ABCDEFGHIJKLMNOPQRSTUVWXYZ"
LOWER = "abcdefghijklmnopqrstuvwxyz"
DIGIT = "0123456789"
SYMBOL = "~!@#$%^&*()_+`-=[]{}|\\:;\"'<>?,./"
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 44 |
8feb772e81d2e7de2f57a541d565f8376b286c08 | 11,234 | py | Python | app/admin.py | sedrof/not-phs | 8f4031e220a7690c5304cebe310e3ef14d8e7424 | [
"MIT"
] | null | null | null | app/admin.py | sedrof/not-phs | 8f4031e220a7690c5304cebe310e3ef14d8e7424 | [
"MIT"
] | null | null | null | app/admin.py | sedrof/not-phs | 8f4031e220a7690c5304cebe310e3ef14d8e7424 | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.contrib.auth.models import Group
admin.site.unregister(Group)
# Register the new Group ModelAdmin.
admin.site.register(Group, GroupAdmin)
admin.site.site_header = 'CRA Calculator'
admin.site.index_title = 'CRA Calculator'
admin.site.site_title = 'CRA Calculator'
... | 32.847953 | 129 | 0.60673 | from import_export.admin import ImportExportModelAdmin, ExportMixin
from django.contrib import admin
from master_data.models import *
from centrelink.models import *
from calculator.models import *
from imports.models import *
from django.utils.safestring import mark_safe
from json2html import *
from django.contrib.aut... | 0 | 1,296 | 0 | 8,696 | 0 | 0 | 0 | 173 | 610 |
951b82e5411a16957eaeb5663362a43cd0c01672 | 1,555 | py | Python | src/data/parse.py | samatix/ml-asset-managers | 27c9c0b3f67fd0350e80c5fb2729e64a13dccbb8 | [
"Apache-2.0"
] | 2 | 2022-01-01T11:06:22.000Z | 2022-02-19T03:19:18.000Z | src/data/parse.py | samatix/ml-asset-managers | 27c9c0b3f67fd0350e80c5fb2729e64a13dccbb8 | [
"Apache-2.0"
] | null | null | null | src/data/parse.py | samatix/ml-asset-managers | 27c9c0b3f67fd0350e80c5fb2729e64a13dccbb8 | [
"Apache-2.0"
] | 2 | 2020-08-15T05:38:49.000Z | 2022-03-05T07:31:11.000Z | # Copyright 2020 Ayoub ENNASSIRI
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | 31.1 | 74 | 0.579421 | # Copyright 2020 Ayoub ENNASSIRI
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writi... | 0 | 0 | 0 | 837 | 0 | 0 | 0 | 3 | 135 |
059cf7be37e442771a2a7e9542192e55afa38fe8 | 675 | py | Python | pytup2019/bowler_queries/remove_debugger.py | lensvol/pytup2019 | 9fe2413a7fcb5e4a4631c42400daeebc2176fce1 | [
"MIT"
] | 1 | 2020-03-14T15:16:55.000Z | 2020-03-14T15:16:55.000Z | pytup2019/bowler_queries/remove_debugger.py | lensvol/pytup2019 | 9fe2413a7fcb5e4a4631c42400daeebc2176fce1 | [
"MIT"
] | null | null | null | pytup2019/bowler_queries/remove_debugger.py | lensvol/pytup2019 | 9fe2413a7fcb5e4a4631c42400daeebc2176fce1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
PATTERN = """
power < "ipdb" trailer < '.' 'set_trace' > trailer < '(' ')' > > |
power < "breakpoint" trailer < "(" ")" > >
"""
| 22.5 | 87 | 0.62963 | #!/usr/bin/env python
import sys
from bowler import Query, Filename, Capture, LN
PATTERN = """
power < "ipdb" trailer < '.' 'set_trace' > trailer < '(' ')' > > |
power < "breakpoint" trailer < "(" ")" > >
"""
def remove_debugger_statements(node: LN, capture: Capture, filename: Filename):
parent_index... | 0 | 0 | 0 | 0 | 0 | 405 | 0 | 15 | 92 |
d036b24263c3c6126474bf42a609edea5fe3d39d | 1,679 | py | Python | Web/testyummly.py | magmastonealex/InTheFridge | 95b2e7127f259bd57afceb5759914621c6ab3e5b | [
"Apache-2.0"
] | 1 | 2015-04-20T01:25:25.000Z | 2015-04-20T01:25:25.000Z | Web/testyummly.py | magmapus/InTheFridge | 95b2e7127f259bd57afceb5759914621c6ab3e5b | [
"Apache-2.0"
] | null | null | null | Web/testyummly.py | magmapus/InTheFridge | 95b2e7127f259bd57afceb5759914621c6ab3e5b | [
"Apache-2.0"
] | null | null | null | import requests
import urllib
import json
if __name__ == "__main__":
y=Yummly()
y.setup('d579507d','736c339e12b7a287c72c2de82313657e')
ing=["fruit","milk"]
print y.getAll(ing,"course^course-Beverages")
y.getCourses()
#todo | 30.527273 | 152 | 0.645622 | import requests
import urllib
import json
class Yummly:
s=requests.Session()
base="http://api.yummly.com/v1/api/recipes"
def setup(self,appid,appkey):
self.s.headers.update({'X-Yummly-App-ID':appid,'X-Yummly-App-Key':appkey})
def qsearch(self,ing,course):
pms=urllib.quote("allowedCourse[]")+"="+urllib.quote(cou... | 0 | 0 | 0 | 1,429 | 0 | 0 | 0 | 0 | 22 |
b9544fa75fdfdd8216e4bbd3c9533a4f56740534 | 1,182 | py | Python | data_storing/assets/tables/moving_average.py | marcellogoccia/deep-value-investing | 4d45cc92c157246485b638d2052596a76975ec8a | [
"MIT"
] | null | null | null | data_storing/assets/tables/moving_average.py | marcellogoccia/deep-value-investing | 4d45cc92c157246485b638d2052596a76975ec8a | [
"MIT"
] | null | null | null | data_storing/assets/tables/moving_average.py | marcellogoccia/deep-value-investing | 4d45cc92c157246485b638d2052596a76975ec8a | [
"MIT"
] | null | null | null |
from utilities.config import database
table_name = database.name_table_moving_average
| 35.818182 | 103 | 0.725888 |
from utilities.config import database
from utilities.common_methods import getDebugInfo
from utilities import log
from sqlalchemy import Column, ForeignKey
from sqlalchemy.types import Integer, Float, Date, String
from sqlalchemy.orm import relationship
from data_storing.assets.base import Base
table_name = database... | 0 | 0 | 0 | 811 | 0 | 0 | 0 | 126 | 156 |
a96eca71d5759d02d2e44335fcb14f0c2dff7682 | 478 | py | Python | src/exercise_one/scripts/data_processing.py | Ali-Elganzory/ARL-ROS | 403c05d1332c3814ec7039b5ef733f708d845f8b | [
"MIT"
] | null | null | null | src/exercise_one/scripts/data_processing.py | Ali-Elganzory/ARL-ROS | 403c05d1332c3814ec7039b5ef733f708d845f8b | [
"MIT"
] | null | null | null | src/exercise_one/scripts/data_processing.py | Ali-Elganzory/ARL-ROS | 403c05d1332c3814ec7039b5ef733f708d845f8b | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
data_processing()
| 22.761905 | 82 | 0.669456 | import rospy
from std_msgs.msg import String
def process_clbk(raw_data: String):
name, age, height = map(lambda x: x.split(": ")[1], raw_data.data.split(", "))
age = int(age)
height = int(height)
rospy.loginfo(f"\nname: {name}\nage: {age}\nheight: {height}")
def data_processing():
rospy.init_nod... | 0 | 0 | 0 | 0 | 0 | 333 | 0 | 1 | 90 |
2d0e162b87c63c828d5b570a15927ce895086357 | 14,969 | py | Python | src/3_model/minlp/data_plots.py | akxen/rep-gep | ed470cd60ecba110e228ce54b8c471cb9cb0256d | [
"MIT"
] | null | null | null | src/3_model/minlp/data_plots.py | akxen/rep-gep | ed470cd60ecba110e228ce54b8c471cb9cb0256d | [
"MIT"
] | null | null | null | src/3_model/minlp/data_plots.py | akxen/rep-gep | ed470cd60ecba110e228ce54b8c471cb9cb0256d | [
"MIT"
] | null | null | null | """Plot input traces to visualise data"""
import os
import sys
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
sys.path.append(os.path.join(os.path.dirname(__file__), 'utils'))
from utils.data import ModelData
def plot_coal_fuel_costs():
"""Coal... | 34.175799 | 121 | 0.636582 | """Plot input traces to visualise data"""
import os
import sys
import pandas as pd
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
sys.path.append(os.path.join(os.path.dirname(__file__), 'utils'))
from utils.data import ModelData
def plot_coal_fuel_costs():
"""Coal... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
98e8ef272f6ae099e91304a8f9b8a8b7b3ca7691 | 572 | py | Python | app/mod_whatis/views.py | crtarsorg/glasomer.rs-v2 | ac43e1ba30b80a4ba9ca67768680b6e79f1512f3 | [
"CC0-1.0"
] | null | null | null | app/mod_whatis/views.py | crtarsorg/glasomer.rs-v2 | ac43e1ba30b80a4ba9ca67768680b6e79f1512f3 | [
"CC0-1.0"
] | 54 | 2017-03-06T12:48:40.000Z | 2017-04-20T08:33:09.000Z | app/mod_whatis/views.py | crtarsorg/glasomer.rs-v2 | ac43e1ba30b80a4ba9ca67768680b6e79f1512f3 | [
"CC0-1.0"
] | null | null | null | from flask import Blueprint
mod_whatis = Blueprint('whatis', __name__, url_prefix='/sta-je-glasomer')
| 38.133333 | 108 | 0.758741 | from flask import Blueprint, render_template
from app import mongo_utils
from bson import json_util
import json
mod_whatis = Blueprint('whatis', __name__, url_prefix='/sta-je-glasomer')
@mod_whatis.route('/', methods=['GET'])
def index():
year = ""
project_enabled = mongo_utils.get_enabled_project()
for pr... | 0 | 363 | 0 | 0 | 0 | 0 | 0 | 18 | 89 |
629635c2446dffba0f7e84880658f4cf63855f95 | 1,388 | py | Python | main-step-demo.py | cfalguiere/datalab-utils | cfa36030ce12efc8e4b5b7ad065ab59e763e0b78 | [
"MIT"
] | null | null | null | main-step-demo.py | cfalguiere/datalab-utils | cfa36030ce12efc8e4b5b7ad065ab59e763e0b78 | [
"MIT"
] | 6 | 2018-03-13T10:52:45.000Z | 2018-03-14T21:37:17.000Z | main-step-demo.py | cfalguiere/datalab-utils | cfa36030ce12efc8e4b5b7ad065ab59e763e0b78 | [
"MIT"
] | null | null | null | #!/usr/bin/python
#-*- coding: utf-8 -*-
"""Run Score Credit Habitat"""
from __future__ import print_function
import sys
from easydatalab.common.app import AppContext
from easydatalab.common.exceptions import ExecutionError
def main():
"""Main entry point for the script."""
cfgFile = 'easydatalab/tests/reso... | 31.545455 | 77 | 0.627522 | #!/usr/bin/python
#-*- coding: utf-8 -*-
"""Run Score Credit Habitat"""
from __future__ import print_function
import sys
import logging
from easydatalab.common.app import AppContext
from easydatalab.common.exceptions import ExecutionError
def main():
"""Main entry point for the script."""
cfgFile = 'easydat... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -7 | 22 |
2d0633efdab3a26a7e6897b19ca7b6bd561f2da7 | 697 | py | Python | src/daemons/videod.py | schnema123/pydrive | 287a9f83604470e6bd01d2a3d4f355559f8253d8 | [
"MIT"
] | null | null | null | src/daemons/videod.py | schnema123/pydrive | 287a9f83604470e6bd01d2a3d4f355559f8253d8 | [
"MIT"
] | null | null | null | src/daemons/videod.py | schnema123/pydrive | 287a9f83604470e6bd01d2a3d4f355559f8253d8 | [
"MIT"
] | null | null | null | import socket
# Send from replayd -> videod
if __name__ == "__main__":
"""
context = zmq.Context()
port = get_port("replayd")
socket = create_sub_sock(context, port)
"""
videosocket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
print("Connecting...")
connected = False
whil... | 21.78125 | 67 | 0.637016 | import socket
import zmq
from shared.daemon_ports import get_port
from shared.messaging.sock import create_sub_sock
# Send from replayd -> videod
if __name__ == "__main__":
"""
context = zmq.Context()
port = get_port("replayd")
socket = create_sub_sock(context, port)
"""
videosocket = socke... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36 | 67 |
1dc5885e8b632bcad5a0b70c1b8d8c5702ffa110 | 1,820 | py | Python | setup.py | bocadilloproject/bocadillo-cli | f11ec438504eb2edd3c4e8f5d2992e804b3da6b0 | [
"MIT"
] | 6 | 2019-04-17T17:07:46.000Z | 2020-08-09T07:37:34.000Z | setup.py | bocadilloproject/bocadillo-cli | f11ec438504eb2edd3c4e8f5d2992e804b3da6b0 | [
"MIT"
] | 10 | 2019-04-17T21:27:46.000Z | 2019-06-17T05:45:51.000Z | setup.py | bocadilloproject/bocadillo-cli | f11ec438504eb2edd3c4e8f5d2992e804b3da6b0 | [
"MIT"
] | 1 | 2019-05-12T17:32:45.000Z | 2019-05-12T17:32:45.000Z | import os
import setuptools
description = "Standard development tooling for Bocadillo"
with open("README.md", "r") as readme:
long_description = readme.read()
NAME = "bocadillo-cli"
PACKAGE = "bocadillo_cli"
GITHUB = "https://github.com/bocadilloproject/bocadillo-cli"
CHANGELOG = f"{GITHUB}/blob/master/CHANGELOG... | 33.090909 | 76 | 0.659341 | import os
import re
import setuptools
description = "Standard development tooling for Bocadillo"
with open("README.md", "r") as readme:
long_description = readme.read()
NAME = "bocadillo-cli"
PACKAGE = "bocadillo_cli"
GITHUB = "https://github.com/bocadilloproject/bocadillo-cli"
CHANGELOG = f"{GITHUB}/blob/master... | 0 | 0 | 0 | 0 | 0 | 280 | 0 | -12 | 45 |
dc155e623350a743adcb1fb509940559b7b8f2f2 | 1,396 | py | Python | 7_dynamic_programming/easy/knapsack_DP_easy.py | itsEmShoji/TCScurriculum | bd27c8c2b26032e9e6f92a50b40ec19d45301988 | [
"MIT"
] | null | null | null | 7_dynamic_programming/easy/knapsack_DP_easy.py | itsEmShoji/TCScurriculum | bd27c8c2b26032e9e6f92a50b40ec19d45301988 | [
"MIT"
] | null | null | null | 7_dynamic_programming/easy/knapsack_DP_easy.py | itsEmShoji/TCScurriculum | bd27c8c2b26032e9e6f92a50b40ec19d45301988 | [
"MIT"
] | null | null | null | # TODO: imports
# REQUIRES: num_items >= 0, capacity >= 0,
# size of item_values >= num_items,
# size of item_weights >= num_items,
# item_values are all >= 0, item_weights are all >= 0
# EFFECTS: Computes the max value that can be obtained by picking
# from a set of num_items items without exceed... | 34.04878 | 81 | 0.657593 | # TODO: imports
# REQUIRES: num_items >= 0, capacity >= 0,
# size of item_values >= num_items,
# size of item_weights >= num_items,
# item_values are all >= 0, item_weights are all >= 0
# EFFECTS: Computes the max value that can be obtained by picking
# from a set of num_items items without exceed... | 0 | 0 | 0 | 117 | 0 | 137 | 0 | 0 | 46 |
a0127677f968c02630c0e8876bdfc54172dc9051 | 4,858 | py | Python | EDMScripts/OldScripts/SimpleEDMLoop.py | gautampk/EDMSuite | e7b67336b45e679d7903d527f6d81080c6846166 | [
"MIT"
] | 6 | 2017-02-02T17:54:23.000Z | 2021-07-03T12:41:36.000Z | EDMScripts/OldScripts/SimpleEDMLoop.py | gautampk/EDMSuite | e7b67336b45e679d7903d527f6d81080c6846166 | [
"MIT"
] | null | null | null | EDMScripts/OldScripts/SimpleEDMLoop.py | gautampk/EDMSuite | e7b67336b45e679d7903d527f6d81080c6846166 | [
"MIT"
] | 11 | 2015-03-19T18:23:38.000Z | 2021-02-18T11:05:51.000Z | # Import a whole load of stuff
| 33.503448 | 109 | 0.735282 | # Import a whole load of stuff
from System.IO import *
from System.Drawing import *
from System.Runtime.Remoting import *
from System.Threading import *
from System.Windows.Forms import *
from System.Xml.Serialization import *
from System import *
from DAQ.Environment import *
from EDMConfig import *
def saveBlockCon... | 0 | 0 | 0 | 0 | 0 | 4,345 | 0 | 73 | 407 |
6a698ccac6fd0c7f76e5a8a4bb85aeca85cff63e | 22,145 | py | Python | mycroft/stt/__init__.py | NeonDaniel/HolmesV | ecf839156758d98d020f6272e4727aad60278004 | [
"Apache-2.0"
] | 9 | 2021-05-06T18:04:18.000Z | 2022-02-23T21:59:49.000Z | mycroft/stt/__init__.py | NeonDaniel/HolmesV | ecf839156758d98d020f6272e4727aad60278004 | [
"Apache-2.0"
] | 5 | 2021-04-13T22:54:47.000Z | 2021-04-18T14:24:25.000Z | mycroft/stt/__init__.py | HelloChatterbox/mycroft-lib | c417807d32eff629354ffe740da14caed2a1bee5 | [
"Apache-2.0"
] | 4 | 2021-09-11T04:02:10.000Z | 2021-12-18T23:57:19.000Z | # Copyright 2017 Mycroft AI Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 33.757622 | 79 | 0.603116 | # Copyright 2017 Mycroft AI Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writin... | 0 | 2,849 | 0 | 16,844 | 0 | 332 | 0 | 103 | 799 |
6af4692a61fa738f40f505d58ac7cde5a59bfad9 | 1,698 | py | Python | sdk/ingestion/microsoft/bing/commerce/ingestion/models/transformation_tryout_response_py3.py | microsoft/bing-commerce-sdk-for-python | cf555ea0bb14792708617d2435dd5aab1c4cbe90 | [
"MIT"
] | 1 | 2020-05-04T09:58:07.000Z | 2020-05-04T09:58:07.000Z | sdk/ingestion/microsoft/bing/commerce/ingestion/models/transformation_tryout_response_py3.py | microsoft/bing-commerce-sdk-for-python | cf555ea0bb14792708617d2435dd5aab1c4cbe90 | [
"MIT"
] | 2 | 2020-04-21T02:32:32.000Z | 2020-04-21T19:37:54.000Z | sdk/ingestion/microsoft/bing/commerce/ingestion/models/transformation_tryout_response_py3.py | microsoft/bing-commerce-sdk-for-python | cf555ea0bb14792708617d2435dd5aab1c4cbe90 | [
"MIT"
] | 4 | 2020-07-31T10:39:22.000Z | 2021-11-10T08:14:07.000Z | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
#... | 39.488372 | 123 | 0.604829 | # Copyright (c) Microsoft Corporation.
# Licensed under the MIT license.
# coding=utf-8
# --------------------------------------------------------------------------
# Code generated by Microsoft (R) AutoRest Code Generator.
# Changes may cause incorrect behavior and will be lost if the code is
# regenerated.
#... | 0 | 0 | 0 | 1,232 | 0 | 0 | 0 | 17 | 50 |
c94779c915148b6ad1bdd49ed67c0ea57c1425eb | 789 | py | Python | rucken_todo/serializers/TodoProjectSerializer.py | site15/rucken-todo-django | bf30d4ad43be22bd8383447e07b151d6dc99da72 | [
"MIT"
] | 3 | 2018-06-04T07:36:59.000Z | 2019-10-07T05:33:56.000Z | rucken_todo/serializers/TodoProjectSerializer.py | site15/rucken-todo-django-example | bf30d4ad43be22bd8383447e07b151d6dc99da72 | [
"MIT"
] | 428 | 2017-11-24T20:19:39.000Z | 2022-03-26T04:13:25.000Z | rucken_todo/serializers/TodoProjectSerializer.py | rucken/todo-django | bf30d4ad43be22bd8383447e07b151d6dc99da72 | [
"MIT"
] | null | null | null | from __future__ import unicode_literals
| 35.863636 | 109 | 0.735108 | from __future__ import unicode_literals
from dynamic_rest.serializers import (
DynamicModelSerializer,
DynamicRelationField
)
from ..models import TodoProject
from .ShortUserSerializer import ShortUserSerializer
from .ShortTodoStatusSerializer import ShortTodoStatusSerializer
class TodoProjectSerializer(Dyn... | 0 | 0 | 0 | 478 | 0 | 0 | 0 | 157 | 113 |
e1e37ca4bd3f37516c74ca148f8f13300997a396 | 1,502 | py | Python | quorapy/scraper.py | djunehor/quorapy | 0496a362d7ecd0b2422288a26290a8503d562128 | [
"MIT"
] | null | null | null | quorapy/scraper.py | djunehor/quorapy | 0496a362d7ecd0b2422288a26290a8503d562128 | [
"MIT"
] | null | null | null | quorapy/scraper.py | djunehor/quorapy | 0496a362d7ecd0b2422288a26290a8503d562128 | [
"MIT"
] | null | null | null | """Module for scraping"""
| 28.339623 | 94 | 0.561252 | """Module for scraping"""
from bs4 import BeautifulSoup
import dateparser
import datetime
class Scraper:
"""Scraper class"""
def __init__(self, html):
self.html = html
self.soup = BeautifulSoup(html, "lxml")
print(f"[Scraper] Retrieved page")
def get_urls(self):
"""Scrape... | 2 | 0 | 0 | 1,387 | 0 | 0 | 0 | -2 | 89 |
0320bc714098189f04667b3582a960eb0486b15d | 5,128 | py | Python | readinglistreader.py | treese/ReadingListReader | d9e56ec2225400994706ad9c2e9d4815fe4f509d | [
"MIT"
] | 62 | 2015-01-08T03:22:03.000Z | 2021-12-22T00:46:30.000Z | readinglistreader.py | treese/ReadingListReader | d9e56ec2225400994706ad9c2e9d4815fe4f509d | [
"MIT"
] | 7 | 2015-02-16T14:12:02.000Z | 2021-07-22T06:03:47.000Z | readinglistreader.py | treese/ReadingListReader | d9e56ec2225400994706ad9c2e9d4815fe4f509d | [
"MIT"
] | 16 | 2015-04-19T22:15:24.000Z | 2021-09-14T13:08:57.000Z | #!/usr/bin/env python
import os
import argparse
import datetime
from readinglistlib import ReadingListReader
# Configure CLI
fields = ['title', 'url', 'preview', 'date', 'added', 'viewed', 'uuid', 'synckey', 'syncserverid']
ap = argparse.ArgumentParser(description='This script outputs the contents of your Safari Rea... | 61.783133 | 433 | 0.719189 | #!/usr/bin/env python
import os
import argparse
import datetime
from readinglistlib import ReadingListReader
# Configure CLI
fields = ['title', 'url', 'preview', 'date', 'added', 'viewed', 'uuid', 'synckey', 'syncserverid']
ap = argparse.ArgumentParser(description='This script outputs the contents of your Safari Rea... | 0 | 0 | 0 | 0 | 0 | 356 | 0 | 0 | 46 |
85890f25969655f8b43b5f8b0ea57d7e21d01c40 | 745 | py | Python | exercicio_py/ex0004_conta_quantidade_caractere/main_v0.py | danielle8farias/Exercicios-Python-3 | f2fe9b6ca63536df1d83fd10162cfc04de36b830 | [
"MIT"
] | null | null | null | exercicio_py/ex0004_conta_quantidade_caractere/main_v0.py | danielle8farias/Exercicios-Python-3 | f2fe9b6ca63536df1d83fd10162cfc04de36b830 | [
"MIT"
] | null | null | null | exercicio_py/ex0004_conta_quantidade_caractere/main_v0.py | danielle8farias/Exercicios-Python-3 | f2fe9b6ca63536df1d83fd10162cfc04de36b830 | [
"MIT"
] | null | null | null | ########
# autora: danielle8farias@gmail.com
# repositrio: https://github.com/danielle8farias
# Descrio: Usurio informa nome e sobrenome.
# O programa retorna quantas letras o nome completo possui (excluindo espaos)
# e quantas letras o primeiro nome possui.
########
nome_completo = input('Digite seu nome completo... | 37.25 | 79 | 0.739597 | ########
# autora: danielle8farias@gmail.com
# repositório: https://github.com/danielle8farias
# Descrição: Usuário informa nome e sobrenome.
# O programa retorna quantas letras o nome completo possui (excluindo espaços)
# e quantas letras o primeiro nome possui.
########
nome_completo = input('Digite seu nome com... | 20 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
67ce0d92034f71c96a8e965173c68e6445d1be29 | 31 | py | Python | techrachit.py | eastmest/Termux-Megapackage | 08f610d25539cfdc5992893996aa4c89630c9a07 | [
"MIT"
] | null | null | null | techrachit.py | eastmest/Termux-Megapackage | 08f610d25539cfdc5992893996aa4c89630c9a07 | [
"MIT"
] | null | null | null | techrachit.py | eastmest/Termux-Megapackage | 08f610d25539cfdc5992893996aa4c89630c9a07 | [
"MIT"
] | null | null | null | print ("tech rachit are here")
| 15.5 | 30 | 0.709677 | print ("tech rachit are here")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3fa62522c102c532d31c74e82903732fc572abac | 390 | py | Python | feedback/urls.py | asb29/Redundant | ee816fd41f9217610bd11f757cf9175288723c70 | [
"MIT"
] | null | null | null | feedback/urls.py | asb29/Redundant | ee816fd41f9217610bd11f757cf9175288723c70 | [
"MIT"
] | null | null | null | feedback/urls.py | asb29/Redundant | ee816fd41f9217610bd11f757cf9175288723c70 | [
"MIT"
] | null | null | null | from django.conf.urls import url
from . import views
app_name = 'feedback'
urlpatterns = [
url(r'^article/(?P<slug>[-\w]+)/comment$',
views.comment,
name='comment'),
url(r'^reviewcomment/(?P<comment_id>[0-9]+)/$',
views.reviewcomment,
name='review-comment'),
url(r'^article... | 21.666667 | 51 | 0.561538 | from django.conf.urls import url
from . import views
app_name = 'feedback'
urlpatterns = [
url(r'^article/(?P<slug>[-\w]+)/comment$',
views.comment,
name='comment'),
url(r'^reviewcomment/(?P<comment_id>[0-9]+)/$',
views.reviewcomment,
name='review-comment'),
url(r'^article... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2fc23c16f3cf180ba3fd5c3369c888fc32045d14 | 27,933 | py | Python | pref/webapp/views/property.py | ahampt/Pref | 6a6b44c751da4358d97c7f170237b8fc0a4bc3d0 | [
"MIT"
] | null | null | null | pref/webapp/views/property.py | ahampt/Pref | 6a6b44c751da4358d97c7f170237b8fc0a4bc3d0 | [
"MIT"
] | 7 | 2015-08-02T20:58:23.000Z | 2016-05-02T03:25:21.000Z | pref/webapp/views/property.py | ahampt/Pref | 6a6b44c751da4358d97c7f170237b8fc0a4bc3d0 | [
"MIT"
] | null | null | null | import logging
property_logger = logging.getLogger('log.property')
associate_logger = logging.getLogger('log.associate')
# Display people list
# Person tools including view, delete, edit, suggestion, and movie association tools (add, remove)
# Display genre list
# Genre tools including view, delete, edit, suggesti... | 67.798544 | 315 | 0.666667 | import logging, sys
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExist, ValidationError
from django.core.mail import send_mail
from django.core.paginator import Paginator, EmptyPage, PageNotAnInteger
from django.http import HttpResponse, Http404
from django.shortcuts import render_to... | 0 | 0 | 0 | 0 | 0 | 26,854 | 0 | 426 | 286 |
a77e4ba1d9535c20aa67f0efe32a4d0cd4d16c2b | 6,253 | py | Python | src/motor/3rdparty/compute/CUDA/mak/build.py | motor-dev/Motor | 98cb099fe1c2d31e455ed868cc2a25eae51e79f0 | [
"BSD-3-Clause"
] | null | null | null | src/motor/3rdparty/compute/CUDA/mak/build.py | motor-dev/Motor | 98cb099fe1c2d31e455ed868cc2a25eae51e79f0 | [
"BSD-3-Clause"
] | null | null | null | src/motor/3rdparty/compute/CUDA/mak/build.py | motor-dev/Motor | 98cb099fe1c2d31e455ed868cc2a25eae51e79f0 | [
"BSD-3-Clause"
] | null | null | null | try:
import cPickle as pickle
except ImportError:
template_kernel = """
_MOTOR_PLUGIN_EXPORT void _%(kernel)s(const u32 index, const u32 total,
const minitl::array< minitl::weak<const Motor::KernelScheduler::IMemoryBuffer> >& /*argv*/)
{
motor_forceuse(index);
motor_forceuse(t... | 39.828025 | 237 | 0.611866 | from waflib import Task
from waflib.TaskGen import feature, before_method, taskgen_method, extension
from waflib.Tools import c_preproc
try:
import cPickle as pickle
except ImportError:
import pickle
template_kernel = """
_MOTOR_PLUGIN_EXPORT void _%(kernel)s(const u32 index, const u32 total,
... | 0 | 2,847 | 0 | 2,173 | 0 | 109 | 0 | 62 | 207 |
773ebb715bc24daa595c7968a1ae63723535d201 | 1,023 | py | Python | sols/1022.py | Paul11100/LeetCode | 9896c579dff1812c0c76964db8d60603ee715e35 | [
"MIT"
] | null | null | null | sols/1022.py | Paul11100/LeetCode | 9896c579dff1812c0c76964db8d60603ee715e35 | [
"MIT"
] | null | null | null | sols/1022.py | Paul11100/LeetCode | 9896c579dff1812c0c76964db8d60603ee715e35 | [
"MIT"
] | null | null | null | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
| 31.96875 | 87 | 0.540567 | # Definition for a binary tree node.
# class TreeNode:
# def __init__(self, val=0, left=None, right=None):
# self.val = val
# self.left = left
# self.right = right
class Solution:
# DFS and convert binary (Accepted), O(n) time and space
def sumRootToLeaf(self, root: Optional[TreeNode... | 0 | 0 | 0 | 809 | 0 | 0 | 0 | 0 | 22 |
82d289627c3ee9209ff2dfa6c1d190469fb034cb | 286 | py | Python | tests/__init__.py | sturmianseq/zenmake | 44f1131c1ab677d8c3c930150c63a7dde4ef7de0 | [
"BSD-3-Clause"
] | 2 | 2019-10-14T05:05:34.000Z | 2022-03-28T04:55:00.000Z | tests/__init__.py | sturmianseq/zenmake | 44f1131c1ab677d8c3c930150c63a7dde4ef7de0 | [
"BSD-3-Clause"
] | 42 | 2020-08-25T07:59:32.000Z | 2021-11-15T03:12:29.000Z | tests/__init__.py | sturmianseq/zenmake | 44f1131c1ab677d8c3c930150c63a7dde4ef7de0 | [
"BSD-3-Clause"
] | 1 | 2021-08-13T13:59:51.000Z | 2021-08-13T13:59:51.000Z |
import sys
from os import path
ZENMAKE_DIR = path.dirname(path.abspath(__file__))
ZENMAKE_DIR = path.normpath(path.join(ZENMAKE_DIR, path.pardir, 'src', 'zenmake'))
if ZENMAKE_DIR not in sys.path:
sys.path.insert(1, ZENMAKE_DIR)
# for test 'testLoadPyModule()'
something = 'qaz' | 23.833333 | 82 | 0.744755 |
import sys
from os import path
ZENMAKE_DIR = path.dirname(path.abspath(__file__))
ZENMAKE_DIR = path.normpath(path.join(ZENMAKE_DIR, path.pardir, 'src', 'zenmake'))
if ZENMAKE_DIR not in sys.path:
sys.path.insert(1, ZENMAKE_DIR)
# for test 'testLoadPyModule()'
something = 'qaz' | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0a2c7252d45b9a2d213668ef67304ff04ab1a631 | 5,680 | py | Python | Drivers/THINGSPEAK.py | bbaumg/Sensor | 95eae629a7d36099cf0786e4d3a46c826ed93099 | [
"MIT"
] | null | null | null | Drivers/THINGSPEAK.py | bbaumg/Sensor | 95eae629a7d36099cf0786e4d3a46c826ed93099 | [
"MIT"
] | null | null | null | Drivers/THINGSPEAK.py | bbaumg/Sensor | 95eae629a7d36099cf0786e4d3a46c826ed93099 | [
"MIT"
] | null | null | null | # Author: Barrett Baumgartner
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distr... | 33.609467 | 85 | 0.687324 | # Author: Barrett Baumgartner
#
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distr... | 0 | 0 | 0 | 4,484 | 0 | 0 | 0 | -13 | 68 |
623fad3932fdae3b4cc05b052d24851f20dc14b2 | 157 | py | Python | server/app/services/device_data/views/_reports_type/__init__.py | goodfree/ActorCloud | e8db470830ea6f6f208ad43c2e56a2e8976bc468 | [
"Apache-2.0"
] | 173 | 2019-06-10T07:14:49.000Z | 2022-03-31T08:42:36.000Z | server/app/services/device_data/views/_reports_type/__init__.py | zlyz12345/ActorCloud | 9c34b371c23464981323ef9865d9913bde1fe09c | [
"Apache-2.0"
] | 27 | 2019-06-12T08:25:29.000Z | 2022-02-26T11:37:15.000Z | server/app/services/device_data/views/_reports_type/__init__.py | zlyz12345/ActorCloud | 9c34b371c23464981323ef9865d9913bde1fe09c | [
"Apache-2.0"
] | 67 | 2019-06-10T08:40:05.000Z | 2022-03-09T03:43:56.000Z | from .aggr_events import devices_event_aggr_data
__all__ = ['REPORTS_TYPE_FUNC']
REPORTS_TYPE_FUNC = {
'devicesEventAggr': devices_event_aggr_data
}
| 15.7 | 48 | 0.789809 | from .aggr_events import devices_event_aggr_data
__all__ = ['REPORTS_TYPE_FUNC']
REPORTS_TYPE_FUNC = {
'devicesEventAggr': devices_event_aggr_data
}
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
ba536605d96d30f13a42d4df687616345dedf4d2 | 6,657 | py | Python | school/school/migrations/0001_initial.py | firemark/sample-school-django | 3b9758ba62e4a37915e69e607d2a2948f1dc0204 | [
"MIT"
] | null | null | null | school/school/migrations/0001_initial.py | firemark/sample-school-django | 3b9758ba62e4a37915e69e607d2a2948f1dc0204 | [
"MIT"
] | null | null | null | school/school/migrations/0001_initial.py | firemark/sample-school-django | 3b9758ba62e4a37915e69e607d2a2948f1dc0204 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2016-09-18 23:26
from __future__ import unicode_literals
| 138.6875 | 4,712 | 0.700916 | # -*- coding: utf-8 -*-
# Generated by Django 1.10 on 2016-09-18 23:26
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.Create... | 0 | 0 | 0 | 6,447 | 0 | 0 | 0 | 30 | 68 |
a3beca4cb5005e736958d53aabeebe0736bd64f0 | 108 | py | Python | run.py | TinLe/fantasticsearch | dfd43f56d70c33738f69f08fd9d613401dbc5634 | [
"Apache-2.0"
] | null | null | null | run.py | TinLe/fantasticsearch | dfd43f56d70c33738f69f08fd9d613401dbc5634 | [
"Apache-2.0"
] | null | null | null | run.py | TinLe/fantasticsearch | dfd43f56d70c33738f69f08fd9d613401dbc5634 | [
"Apache-2.0"
] | null | null | null | #!flask/bin/python
from fantasticsearch import fantasticsearch
fantasticsearch.run(debug=True, port=5001)
| 18 | 43 | 0.824074 | #!flask/bin/python
from fantasticsearch import fantasticsearch
fantasticsearch.run(debug=True, port=5001)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2b0a3505c24baa750d6115f2ad0f6544ab52f9c6 | 201 | py | Python | ci.py | arelemegha/python-programs | c9af116c0db45dcd13d97e80a32733df372fe2d4 | [
"CC0-1.0"
] | null | null | null | ci.py | arelemegha/python-programs | c9af116c0db45dcd13d97e80a32733df372fe2d4 | [
"CC0-1.0"
] | null | null | null | ci.py | arelemegha/python-programs | c9af116c0db45dcd13d97e80a32733df372fe2d4 | [
"CC0-1.0"
] | null | null | null | p = float(input("Enter the principle amount : "))
r = float(input("Enter the rate : "))
t = int(input("Enter the time: "))
a = p * (pow((1 + r / 100), t))
ci = a-p
print("compound interest is : ", ci)
| 28.714286 | 49 | 0.587065 | p = float(input("Enter the principle amount : "))
r = float(input("Enter the rate : "))
t = int(input("Enter the time: "))
a = p * (pow((1 + r / 100), t))
ci = a-p
print("compound interest is : ", ci)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
034de1341e667b7696b2129e6182000c170e9094 | 73 | py | Python | AnalyzeSystem/f0_test.py | keel-210/AutoSinger | c9a855570b9222befca11072f47632b4ddebe294 | [
"MIT"
] | null | null | null | AnalyzeSystem/f0_test.py | keel-210/AutoSinger | c9a855570b9222befca11072f47632b4ddebe294 | [
"MIT"
] | null | null | null | AnalyzeSystem/f0_test.py | keel-210/AutoSinger | c9a855570b9222befca11072f47632b4ddebe294 | [
"MIT"
] | null | null | null | import pyworld as pyworld | 24.333333 | 25 | 0.849315 | import pyworld as pyworld
import pysptk as sptk
import pyreaper as reaper | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 44 |
f9ed84d75a8201857334c9dfb6e24601b014935d | 1,622 | py | Python | pages/themes/DBMS-Lecture2/examples/mongo_CRUD.py | WWWCourses/PythonCourseNetIT-Slides | 78dbb5eb7695cc64042b71a1911d4ef3feddb074 | [
"MIT"
] | null | null | null | pages/themes/DBMS-Lecture2/examples/mongo_CRUD.py | WWWCourses/PythonCourseNetIT-Slides | 78dbb5eb7695cc64042b71a1911d4ef3feddb074 | [
"MIT"
] | null | null | null | pages/themes/DBMS-Lecture2/examples/mongo_CRUD.py | WWWCourses/PythonCourseNetIT-Slides | 78dbb5eb7695cc64042b71a1911d4ef3feddb074 | [
"MIT"
] | null | null | null | import pymongo
# ------------------------- Connect to MongoDB Server ------------------------ #
# connect to MongoDB server:
client = pymongo.MongoClient("mongodb://localhost:27017")
# ----------------------- Switch context to a database ----------------------- #
# get "python_course" database:
db = client.python_cou... | 36.044444 | 128 | 0.586313 | import pymongo
# ------------------------- Connect to MongoDB Server ------------------------ #
# connect to MongoDB server:
client = pymongo.MongoClient("mongodb://localhost:27017")
# ----------------------- Switch context to a database ----------------------- #
# get "python_course" database:
db = client.python_cou... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d06ea409af79d80d23b209f9aa5dc10f5c6cf8f0 | 733 | py | Python | molecule/blockbook/tests/test_chain.py | trustwallet/ansible-collection-blockchain | 4ea4ae041dc4625ba914925cccafebefd99c672f | [
"MIT"
] | 1 | 2022-03-24T21:27:27.000Z | 2022-03-24T21:27:27.000Z | molecule/blockbook/tests/test_chain.py | trustwallet/ansible-collection-blockchain | 4ea4ae041dc4625ba914925cccafebefd99c672f | [
"MIT"
] | null | null | null | molecule/blockbook/tests/test_chain.py | trustwallet/ansible-collection-blockchain | 4ea4ae041dc4625ba914925cccafebefd99c672f | [
"MIT"
] | 2 | 2022-03-19T17:34:56.000Z | 2022-03-23T19:08:55.000Z | import os
import testinfra.utils.ansible_runner
testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner(
os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('all')
| 27.148148 | 63 | 0.768076 | import os
import pytest
import testinfra.utils.ansible_runner
from ansible.template import Templar
from ansible.parsing.dataloader import DataLoader
testinfra_hosts = testinfra.utils.ansible_runner.AnsibleRunner(
os.environ['MOLECULE_INVENTORY_FILE']).get_hosts('all')
@pytest.mark.chain("firo")
def test_blockboo... | 0 | 389 | 0 | 0 | 0 | 0 | 0 | 35 | 136 |
a131c678638de05ea4d2a12998c4a9866393a59c | 1,008 | py | Python | networks/spm.py | kamiLight/CADepth-master | 8251f12f21393aae3261c3765218063cea1cae30 | [
"MIT"
] | 11 | 2022-01-03T14:56:40.000Z | 2022-03-01T06:37:05.000Z | networks/spm.py | kamiLight/CADepth-master | 8251f12f21393aae3261c3765218063cea1cae30 | [
"MIT"
] | 1 | 2022-03-23T01:28:56.000Z | 2022-03-24T00:46:44.000Z | networks/spm.py | kamiLight/CADepth-master | 8251f12f21393aae3261c3765218063cea1cae30 | [
"MIT"
] | 1 | 2022-01-14T08:25:50.000Z | 2022-01-14T08:25:50.000Z | import torch.nn as nn
| 32.516129 | 84 | 0.5625 | import torch
import torch.nn as nn
class SPM(nn.Module):
""" Structure Perception Module """
def __init__(self, in_dim):
super(SPM, self).__init__()
self.chanel_in = in_dim
self.softmax = nn.Softmax(dim=-1)
def forward(self,x):
"""
inputs :
x : i... | 0 | 0 | 0 | 950 | 0 | 0 | 0 | -9 | 45 |
d5ee6b368b0d4584ed1bd6908ed0752e007fd580 | 558 | py | Python | examples/serialized_declare.py | jmptbl/puka | bc6e845c8a5f4319ffc54cc71959c56a8893edaf | [
"MIT"
] | 81 | 2015-01-22T10:09:37.000Z | 2022-01-25T04:38:29.000Z | examples/serialized_declare.py | ov7a/puka | d2a1a8747b417021d6f18df7ee73d336f670f5a9 | [
"MIT"
] | 17 | 2015-05-13T01:51:53.000Z | 2021-03-05T04:01:39.000Z | examples/serialized_declare.py | ov7a/puka | d2a1a8747b417021d6f18df7ee73d336f670f5a9 | [
"MIT"
] | 25 | 2015-02-12T14:02:41.000Z | 2020-05-15T14:08:43.000Z | #!/usr/bin/env python
import sys
sys.path.append("..")
import logging
FORMAT_CONS = '%(asctime)s %(name)-12s %(levelname)8s\t%(message)s'
logging.basicConfig(level=logging.DEBUG, format=FORMAT_CONS)
import puka
client = puka.Client("amqp://localhost/")
promise = client.connect()
client.wait(promise)
for i in ra... | 19.241379 | 67 | 0.706093 | #!/usr/bin/env python
import sys
sys.path.append("..")
import logging
FORMAT_CONS = '%(asctime)s %(name)-12s %(levelname)8s\t%(message)s'
logging.basicConfig(level=logging.DEBUG, format=FORMAT_CONS)
import puka
client = puka.Client("amqp://localhost/")
promise = client.connect()
client.wait(promise)
for i in ra... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
21beef38496aa0556afe362af0fdf823475e15cb | 3,065 | py | Python | tssimul.py | jli05/CS229-TimeSeries-LSTM | 366b87d81bbdfecd74c97ffb5387622c0d60d43d | [
"Apache-2.0"
] | null | null | null | tssimul.py | jli05/CS229-TimeSeries-LSTM | 366b87d81bbdfecd74c97ffb5387622c0d60d43d | [
"Apache-2.0"
] | null | null | null | tssimul.py | jli05/CS229-TimeSeries-LSTM | 366b87d81bbdfecd74c97ffb5387622c0d60d43d | [
"Apache-2.0"
] | null | null | null | ''' Simulate ARIMA(p, 0, q) model '''
import numpy as np
def simulate_eps(sigma, size, dist='normal', df=None):
''' Simulate innovation '''
n_samples, length_sample = size
if dist.startswith('n'):
eps = np.random.standard_normal(size) * sigma
elif dist.startswith('t'):
eps = np.random.... | 32.606383 | 78 | 0.604894 | ''' Simulate ARIMA(p, 0, q) model '''
import argparse
import numpy as np
from scipy import stats
def simulate_eps(sigma, size, dist='normal', df=None):
''' Simulate innovation '''
n_samples, length_sample = size
if dist.startswith('n'):
eps = np.random.standard_normal(size) * sigma
elif dist.... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -4 | 45 |
c150f8cf6799b8c70596657c3001737e829dd448 | 24,931 | py | Python | dm_alchemy/types/unity_python_conversion.py | locross93/dm_alchemy | 35449de51d56c427959ae6a3be13d6c6ab738be5 | [
"Apache-2.0"
] | 182 | 2021-02-08T15:25:06.000Z | 2022-03-31T00:46:23.000Z | dm_alchemy/types/unity_python_conversion.py | locross93/dm_alchemy | 35449de51d56c427959ae6a3be13d6c6ab738be5 | [
"Apache-2.0"
] | 6 | 2021-02-12T10:42:51.000Z | 2022-03-14T23:59:45.000Z | dm_alchemy/types/unity_python_conversion.py | locross93/dm_alchemy | 35449de51d56c427959ae6a3be13d6c6ab738be5 | [
"Apache-2.0"
] | 18 | 2021-02-08T20:37:22.000Z | 2022-03-15T20:54:14.000Z | # Lint as python3
# Copyright 2020 DeepMind Technologies Limited. 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
#
# Un... | 43.661996 | 80 | 0.740083 | # Lint as python3
# Copyright 2020 DeepMind Technologies Limited. 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
#
# Un... | 0 | 0 | 0 | 1,249 | 0 | 2,738 | 0 | 56 | 320 |
3e437eb10c5579c54d13b48fb00dc5e65c50fb7b | 8,319 | py | Python | fastatomography/tomo/backends/astra_cpu.py | PhilippPelz/fasta-tomography | a75f0559c5912249d7c6e330b061ecad744556bf | [
"MIT"
] | 1 | 2021-06-07T14:08:26.000Z | 2021-06-07T14:08:26.000Z | fastatomography/tomo/backends/astra_cpu.py | PhilippPelz/fasta-tomography | a75f0559c5912249d7c6e330b061ecad744556bf | [
"MIT"
] | null | null | null | fastatomography/tomo/backends/astra_cpu.py | PhilippPelz/fasta-tomography | a75f0559c5912249d7c6e330b061ecad744556bf | [
"MIT"
] | null | null | null | # Copyright 2014-2017 The ODL contributors
#
# This file is part of ODL.
#
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the MPL was not distributed with this file, You can
# obtain one at https://mozilla.org/MPL/2.0/.
"""Backend for ASTRA using CPU."""
from __f... | 38.513889 | 78 | 0.63361 | # Copyright 2014-2017 The ODL contributors
#
# This file is part of ODL.
#
# This Source Code Form is subject to the terms of the Mozilla Public License,
# v. 2.0. If a copy of the MPL was not distributed with this file, You can
# obtain one at https://mozilla.org/MPL/2.0/.
"""Backend for ASTRA using CPU."""
from __f... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 0 |
2437b1fc5a17eb5303585ed2331bad10c365b40a | 59 | py | Python | src/qsiprep_analyses/utils/__init__.py | GalBenZvi/qsiprep_analyses | 51512cffca218210f6b85e5eadd593b382963bbd | [
"Apache-2.0"
] | null | null | null | src/qsiprep_analyses/utils/__init__.py | GalBenZvi/qsiprep_analyses | 51512cffca218210f6b85e5eadd593b382963bbd | [
"Apache-2.0"
] | 6 | 2022-03-04T15:28:20.000Z | 2022-03-30T09:37:12.000Z | src/qsiprep_analyses/utils/__init__.py | GalBenZvi/qsiprep_analyses | 51512cffca218210f6b85e5eadd593b382963bbd | [
"Apache-2.0"
] | 2 | 2022-03-13T11:07:48.000Z | 2022-03-13T11:50:40.000Z | """
Utilities for the :mod:`qsiprep_analyses` package.
"""
| 14.75 | 50 | 0.694915 | """
Utilities for the :mod:`qsiprep_analyses` package.
"""
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5bca9217161ce91c534256d2d0103754755ea4e6 | 2,240 | py | Python | My_Account/migrations/0001_initial.py | CHESyrian/Syrians | 8376e9bed6e3a03f536d8aacd523d630f6bc4345 | [
"MIT"
] | null | null | null | My_Account/migrations/0001_initial.py | CHESyrian/Syrians | 8376e9bed6e3a03f536d8aacd523d630f6bc4345 | [
"MIT"
] | null | null | null | My_Account/migrations/0001_initial.py | CHESyrian/Syrians | 8376e9bed6e3a03f536d8aacd523d630f6bc4345 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.3 on 2020-04-22 21:23
| 44.8 | 133 | 0.612946 | # Generated by Django 3.0.3 on 2020-04-22 21:23
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER_MODEL),
]
ope... | 0 | 0 | 0 | 2,060 | 0 | 0 | 0 | 41 | 90 |
d00702f8ce3921e21728a7927615308f95062ef8 | 3,279 | py | Python | refresh.py | pwillworth/dfkreport | ae10226430a3a74ac3c07ae888cab14dde778db8 | [
"Apache-2.0"
] | 11 | 2022-01-18T17:36:12.000Z | 2022-03-21T21:09:17.000Z | refresh.py | pwillworth/dfkreport | ae10226430a3a74ac3c07ae888cab14dde778db8 | [
"Apache-2.0"
] | null | null | null | refresh.py | pwillworth/dfkreport | ae10226430a3a74ac3c07ae888cab14dde778db8 | [
"Apache-2.0"
] | 4 | 2022-01-18T18:37:48.000Z | 2022-01-22T02:14:48.000Z | #!/usr/bin/env python3
import logging
# Iterate through all transactions for account and run refresh actions
# Update the gas transaction fee amount and value assuming tx is on Harmony
if __name__ == "__main__":
main()
| 43.72 | 175 | 0.655688 | #!/usr/bin/env python3
import nets
import db
import contracts
from web3 import Web3
import prices
import logging
import logging.handlers
import jsonpickle
def main():
handler = logging.handlers.RotatingFileHandler('../refresh.log', maxBytes=33554432, backupCount=10)
logging.basicConfig(handlers=[handler], leve... | 0 | 0 | 0 | 0 | 0 | 2,871 | 0 | -37 | 221 |
d57b9bd1fceae16ab680d68d444523487314cf4c | 5,908 | py | Python | examples/research/ftt-nas/fixed_point_plugins/fixed_point_patch_new.py | Harald-R/aw_nas | 8cf0cf48f7bcfd7893e6355dcc3ccbc83fd39783 | [
"MIT"
] | 195 | 2020-08-15T17:39:23.000Z | 2022-02-28T07:48:03.000Z | examples/research/ftt-nas/fixed_point_plugins/fixed_point_patch_new.py | Harald-R/aw_nas | 8cf0cf48f7bcfd7893e6355dcc3ccbc83fd39783 | [
"MIT"
] | 22 | 2020-08-16T01:44:48.000Z | 2022-03-12T00:46:54.000Z | examples/research/ftt-nas/fixed_point_plugins/fixed_point_patch_new.py | Harald-R/aw_nas | 8cf0cf48f7bcfd7893e6355dcc3ccbc83fd39783 | [
"MIT"
] | 27 | 2020-08-16T06:34:56.000Z | 2022-03-06T18:16:52.000Z | #pylint: disable-all
"""
Script for patch SubCandidateNet/CNNGenotypeModel.forward
"""
from aw_nas.weights_manager.super_net import SubCandidateNet
from aw_nas.final.cnn_model import CNNGenotypeModel
BITWIDTH = 8
FIX_METHOD = 1 # auto_fix
# ---- patch ----
## Here do not patch forward, as activation is not quantized ... | 48.826446 | 130 | 0.629824 | #pylint: disable-all
"""
Script for patch SubCandidateNet/CNNGenotypeModel.forward
"""
from contextlib import contextmanager
import six
import numpy as np
import torch
from torch import nn
from nics_fix_pt.quant import quantitize
from aw_nas.weights_manager.super_net import SubCandidateNet
from aw_nas.final.cnn_model... | 0 | 1,549 | 0 | 0 | 0 | 1,754 | 0 | 11 | 270 |
eedd7919dde8c6f614677433f04639e63a253d58 | 2,942 | py | Python | gland_classification/four_resolutions_model/model.py | onermustafaumit/MLNM | eef9a694fc616d68094c6dbf4d8fd4e45c842e2d | [
"MIT"
] | 1 | 2022-02-07T06:41:43.000Z | 2022-02-07T06:41:43.000Z | gland_classification/four_resolutions_model/model.py | onermustafaumit/MLNM | eef9a694fc616d68094c6dbf4d8fd4e45c842e2d | [
"MIT"
] | null | null | null | gland_classification/four_resolutions_model/model.py | onermustafaumit/MLNM | eef9a694fc616d68094c6dbf4d8fd4e45c842e2d | [
"MIT"
] | null | null | null | import torch.nn as nn
| 45.261538 | 119 | 0.71312 | import torchvision
import torch.nn as nn
class ResNet(nn.Module):
def __init__(self, pretrained=False, num_classes=2, num_intermediate_features=64):
super().__init__()
self.pretrained = pretrained
self.num_classes = num_classes
self.num_intermediate_features = num_intermedi... | 0 | 0 | 0 | 2,837 | 0 | 0 | 0 | -3 | 72 |
9dbbc46dc3ab82348e7ae0fc2b05ea58038bf2f9 | 5,019 | py | Python | py/sym/messages/authz_pb2.py | symopsio/protobufs | 5a33aa2c00116810e7e5a1d2b23f9134bb13eb10 | [
"Apache-2.0"
] | null | null | null | py/sym/messages/authz_pb2.py | symopsio/protobufs | 5a33aa2c00116810e7e5a1d2b23f9134bb13eb10 | [
"Apache-2.0"
] | null | null | null | py/sym/messages/authz_pb2.py | symopsio/protobufs | 5a33aa2c00116810e7e5a1d2b23f9134bb13eb10 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: sym/messages/authz.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from goo... | 36.904412 | 397 | 0.75533 | # -*- coding: utf-8 -*-
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: sym/messages/authz.proto
"""Generated protocol buffer code."""
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _reflection
from goo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
65515bf65bebc383c9d94596460baa49da4a8f9c | 2,506 | py | Python | parser.py | winterYANGWT/STEFANN_PyTorch | bcee0ddbc286b4c83de0b2ea243091fb9c14fb90 | [
"Apache-2.0"
] | 1 | 2021-07-11T04:47:18.000Z | 2021-07-11T04:47:18.000Z | parser.py | mathemusician/STEFANN_PyTorch | 82941bc859af424babcf1f23a3d973764226263b | [
"Apache-2.0"
] | 1 | 2021-08-11T16:37:02.000Z | 2021-08-11T16:37:02.000Z | parser.py | mathemusician/STEFANN_PyTorch | 82941bc859af424babcf1f23a3d973764226263b | [
"Apache-2.0"
] | 1 | 2021-07-10T04:26:33.000Z | 2021-07-10T04:26:33.000Z | import os.path as path
FANNET_IMG_DIR='/mnt/Data/GoogleFontsSTEFANN/fannet'
COLORNET_IMG_DIR='/mnt/Data/GoogleFontsSTEFANN/colornet'
if __name__=='__main__':
process_fannet(path.join(FANNET_IMG_DIR,'train'),
'./Data/STEFANN/fannet_train.csv')
process_fannet(path.join(FANNET_IMG_DIR,'v... | 31.721519 | 72 | 0.622107 | import os
import os.path as path
import itertools
import pandas as pd
import glob
import config
import random
FANNET_IMG_DIR='/mnt/Data/GoogleFontsSTEFANN/fannet'
COLORNET_IMG_DIR='/mnt/Data/GoogleFontsSTEFANN/colornet'
def process_fannet(img_dir,save_path):
perms=itertools.product(os.listdir(img_dir),
... | 0 | 0 | 0 | 0 | 0 | 1,762 | 0 | -45 | 178 |
7b8242216757295d93bacc284fc1accdd444067f | 1,084 | py | Python | js_code.py | luoshenshen/LibrarySeats | c9fbd4fb7c26d380ee17b765cb4b83b1f3bbb78c | [
"MIT"
] | 12 | 2021-06-03T03:26:45.000Z | 2022-03-06T09:45:57.000Z | js_code.py | luoshenshen/LibrarySeats | c9fbd4fb7c26d380ee17b765cb4b83b1f3bbb78c | [
"MIT"
] | 5 | 2021-11-06T07:35:00.000Z | 2022-03-13T06:02:58.000Z | js_code.py | luoshenshen/LibrarySeats | c9fbd4fb7c26d380ee17b765cb4b83b1f3bbb78c | [
"MIT"
] | 4 | 2021-06-07T09:46:31.000Z | 2022-03-09T14:20:34.000Z | '''
@ project: LibrarySeats
@ file: test
@ user:
@ email: luoshenshen@buaa.edu.cn
@ tool: PyCharm
@ time: 2021/5/24 14:27
'''
import re
import execjs
def verify_code_get(jsname,cookie,time):
'''js'''
url = "https://static.wechat.laixuanzuo.com/template/theme2/cache/layout/" + jsname + ".js"
pattern_js_b... | 23.565217 | 95 | 0.654059 | '''
@ project: LibrarySeats
@ file: test
@ user: 罗申申
@ email: luoshenshen@buaa.edu.cn
@ tool: PyCharm
@ time: 2021/5/24 14:27
'''
import re
import function
import execjs
import browser_tools
def obtain_js(html):
js = '<script src="(.*?)"'
href = re.compile(js, re.S).findall(html)
return href
def verify_c... | 57 | 0 | 0 | 0 | 0 | 195 | 0 | -7 | 90 |
9faa68d2b05b4a33cebe4f7dd86018471e582c98 | 3,336 | py | Python | var_caller_mt.py | shimbalama/friday_sessions_QIMR | 5f5c65fdea98b22df845b09e3a72dbc7989e8ed1 | [
"MIT"
] | null | null | null | var_caller_mt.py | shimbalama/friday_sessions_QIMR | 5f5c65fdea98b22df845b09e3a72dbc7989e8ed1 | [
"MIT"
] | null | null | null | var_caller_mt.py | shimbalama/friday_sessions_QIMR | 5f5c65fdea98b22df845b09e3a72dbc7989e8ed1 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
from Bio import SeqIO
import scipy.stats as stats
def chunk_ref(args, chroms):
'''
Split ref into chunks for threading
'''
#make server mode where just takes one chrom and scatters with WDL
chunks = []
size = 100000 #just for testing, put back to 1mb
total_len = 0... | 25.082707 | 121 | 0.555456 | #!/usr/bin/env python3
from multiprocessing import Pool, TimeoutError
from glob import glob
import gzip
import pysam
from Bio import SeqIO
from collections import Counter, defaultdict
import scipy.stats as stats
import operator
import pandas as pd
import argparse
import cProfile
import sys
def main ():
parser = a... | 0 | 0 | 0 | 0 | 0 | 2,328 | 0 | -2 | 266 |
dade49d1b215000562cd2d23b09812f5a692264c | 713 | py | Python | BOJ_Solved/BOJ-16928.py | CodingLeeSeungHoon/Python_Algorithm_TeamNote | 1e92986999b45aa9951e12e67b23062e410e9b36 | [
"MIT"
] | 7 | 2021-11-19T14:50:59.000Z | 2022-02-25T20:00:20.000Z | BOJ_Solved/BOJ-16928.py | CodingLeeSeungHoon/Python_Algorithm_TeamNote | 1e92986999b45aa9951e12e67b23062e410e9b36 | [
"MIT"
] | null | null | null | BOJ_Solved/BOJ-16928.py | CodingLeeSeungHoon/Python_Algorithm_TeamNote | 1e92986999b45aa9951e12e67b23062e410e9b36 | [
"MIT"
] | null | null | null | # coding=utf-8
"""
16928 :
"""
import sys
input = sys.stdin.readline
N, M = map(int, input().split())
graph = [*range(101)]
visited = [-1] * 101
for _ in range(N + M):
x, y = map(int, input().split())
graph[x] = y
bfs(graph, 1, visited)
print(visited[-1])
| 19.27027 | 63 | 0.504909 | # coding=utf-8
"""
백준 16928번 : 뱀과 사다리 게임
"""
import sys
from collections import deque
input = sys.stdin.readline
def bfs(graph, start, visited):
queue = deque([start])
visited[start] = 0
while queue:
v = queue.popleft()
for i in range(1, 7):
y = v + i
if y > 100... | 30 | 0 | 0 | 0 | 0 | 376 | 0 | 8 | 45 |
b156fbcb3777c67bbda34c74c49e66b3b3d17cc7 | 4,001 | py | Python | data/birthmark_xml_create.py | mitubaEX/MITUBASearcher | 7d6eb92bcc608a27519d8e6e30b033dc784694f3 | [
"Apache-2.0"
] | null | null | null | data/birthmark_xml_create.py | mitubaEX/MITUBASearcher | 7d6eb92bcc608a27519d8e6e30b033dc784694f3 | [
"Apache-2.0"
] | 5 | 2017-09-12T15:41:33.000Z | 2017-10-23T14:21:23.000Z | data/birthmark_xml_create.py | mitubaEX/MITUBASearcher | 7d6eb92bcc608a27519d8e6e30b033dc784694f3 | [
"Apache-2.0"
] | null | null | null | import glob
import csv
csv.field_size_limit(1000000000)
# -*- coding: utf-8 -*-
import codecs
files = []
cvfv = codecs.open("./birth_cvfv.xml","w",'utf-8')
fmc = codecs.open("./birth_fmc.xml","w",'utf-8')
fuc = codecs.open("./birth_fuc.xml","w",'utf-8')
_2gram = codecs.open("./birth_2gram.xml","w",'utf-8')
_3gram = co... | 43.021505 | 198 | 0.48038 | import glob
import os
import sys
import csv
csv.field_size_limit(1000000000)
# -*- coding: utf-8 -*-
import codecs
files = []
cvfv = codecs.open("./birth_cvfv.xml","w",'utf-8')
fmc = codecs.open("./birth_fmc.xml","w",'utf-8')
fuc = codecs.open("./birth_fuc.xml","w",'utf-8')
_2gram = codecs.open("./birth_2gram.xml","w"... | 0 | 0 | 0 | 0 | 0 | 1,249 | 0 | -23 | 113 |
95964d33b38741eebab8192e62f19d04248c6675 | 1,170 | py | Python | setup.py | AmidBidee/Robot-Arm | cfacfc779b2f025846e9748167bcfb15ce207923 | [
"MIT"
] | 1 | 2022-03-27T20:09:10.000Z | 2022-03-27T20:09:10.000Z | setup.py | AmidBidee/Robot-Arm | cfacfc779b2f025846e9748167bcfb15ce207923 | [
"MIT"
] | 4 | 2022-03-25T03:45:10.000Z | 2022-03-29T14:31:16.000Z | setup.py | AmidBidee/RobotArm | cfacfc779b2f025846e9748167bcfb15ce207923 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="robotarm", # Replace with your username
version="0.0.4",
author="<Aaron Ahmid Balogun>",
author_email="<amidbidee@gmail.com>",
description="<Template Setup.py package>"... | 21.272727 | 106 | 0.620513 | import setuptools
from setuptools import setup, find_packages
with open("README.md", "r") as fh:
long_description = fh.read()
setup(
name="robotarm", # Replace with your username
version="0.0.4",
author="<Aaron Ahmid Balogun>",
author_email="<amidbidee@gmail.com>",
description="<Template ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -4 | 22 |
51cb20a476045ed9a30f634816c937e0032634fa | 5,628 | py | Python | samples/snippets/publisher_test.py | deckikwok/python-pubsub | 7e02bd8bc87676b0f38c90bc218dd4714f09f3a4 | [
"Apache-2.0"
] | null | null | null | samples/snippets/publisher_test.py | deckikwok/python-pubsub | 7e02bd8bc87676b0f38c90bc218dd4714f09f3a4 | [
"Apache-2.0"
] | null | null | null | samples/snippets/publisher_test.py | deckikwok/python-pubsub | 7e02bd8bc87676b0f38c90bc218dd4714f09f3a4 | [
"Apache-2.0"
] | null | null | null | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 29.621053 | 88 | 0.744314 | # Copyright 2016 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 0 | 1,437 | 0 | 0 | 0 | 2,791 | 0 | -1 | 547 |
7b2a91c84bc4cb09ca9e0267db05e2ac0ace93e9 | 3,354 | py | Python | newsapp/models.py | Esther-Anyona/four-one-one | 6a5e019b35710941a669c1b49e993b683c99d615 | [
"MIT"
] | null | null | null | newsapp/models.py | Esther-Anyona/four-one-one | 6a5e019b35710941a669c1b49e993b683c99d615 | [
"MIT"
] | null | null | null | newsapp/models.py | Esther-Anyona/four-one-one | 6a5e019b35710941a669c1b49e993b683c99d615 | [
"MIT"
] | null | null | null |
# CloudinaryImage("turtles.jpg").image(width=70, height=53, crop="scale")
"""
Models
"""
| 34.9375 | 173 | 0.720036 | from django.db import models
from django.contrib.auth.models import User
from cloudinary.models import CloudinaryField
# CloudinaryImage("turtles.jpg").image(width=70, height=53, crop="scale")
"""
Models
"""
class Neighbourhood(models.Model):
neighbourhood_name = models.CharField(max_length=100)
location = mo... | 0 | 108 | 0 | 2,942 | 0 | 0 | 0 | 53 | 157 |
38bbd6e96323d1dc65e0352cdedb7d3a7f70fe9a | 321 | py | Python | setup.py | fiefdx/pytea | 466f2e15506fc66e402437aa2cfeb8b2c9f19c64 | [
"MIT"
] | 1 | 2016-09-04T10:24:27.000Z | 2016-09-04T10:24:27.000Z | setup.py | fiefdx/pytea | 466f2e15506fc66e402437aa2cfeb8b2c9f19c64 | [
"MIT"
] | null | null | null | setup.py | fiefdx/pytea | 466f2e15506fc66e402437aa2cfeb8b2c9f19c64 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
'''
Created on 2014-07-16
@summary: Trellis TEA use pure python
@author: fiefdx
'''
from distutils.core import setup
setup(name='pytea',
version='1.0.2',
author = 'fiefdx',
author_email = 'fiefdx@gmail.com',
package_dir={'pytea': 'src'},
packages=['pytea'],
... | 20.0625 | 40 | 0.595016 | # -*- coding: utf-8 -*-
'''
Created on 2014-07-16
@summary: Trellis TEA use pure python
@author: fiefdx
'''
from distutils.core import setup
setup(name='pytea',
version='1.0.2',
author = 'fiefdx',
author_email = 'fiefdx@gmail.com',
package_dir={'pytea': 'src'},
packages=['pytea'],
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6848d05c72fa374d993685eb4210477d11796461 | 1,006 | py | Python | profiler/undecorate_for_profiling.py | co2meal/-bnpy-dev | 74f69afde6c9dac8de4c074842df53ae87a15ac1 | [
"BSD-3-Clause"
] | null | null | null | profiler/undecorate_for_profiling.py | co2meal/-bnpy-dev | 74f69afde6c9dac8de4c074842df53ae87a15ac1 | [
"BSD-3-Clause"
] | null | null | null | profiler/undecorate_for_profiling.py | co2meal/-bnpy-dev | 74f69afde6c9dac8de4c074842df53ae87a15ac1 | [
"BSD-3-Clause"
] | null | null | null | '''
undecorate_for_profiling.py
Explore all the python functions in the user-specified directory,
and remove decoration @profile from appropriate functions
'''
if __name__ == '__main__':
import argparse
parser = argparse.ArgumentParser()
parser.add_argument('rootdir')
args = parser.parse_args()
m... | 29.588235 | 69 | 0.624254 | '''
undecorate_for_profiling.py
Explore all the python functions in the user-specified directory,
and remove decoration @profile from appropriate functions
'''
import os
def main(bnpyrootdir):
list_of_files = {}
for (dirpath, contentdirs, contentfiles) in os.walk(bnpyrootdir):
for fname in contentfil... | 0 | 0 | 0 | 0 | 0 | 635 | 0 | -12 | 45 |
e0006a8f256b6783c06d6c65cdca6a156de2c8d9 | 1,734 | py | Python | Proxy/MachineLearn/classification.py | Crispae/BBPRED | 226c6347d986da4b0f573f1b7a978b9418d0eeb4 | [
"MIT"
] | null | null | null | Proxy/MachineLearn/classification.py | Crispae/BBPRED | 226c6347d986da4b0f573f1b7a978b9418d0eeb4 | [
"MIT"
] | null | null | null | Proxy/MachineLearn/classification.py | Crispae/BBPRED | 226c6347d986da4b0f573f1b7a978b9418d0eeb4 | [
"MIT"
] | null | null | null | ## classification.py
__all__ = ["Lazy",]
| 23.12 | 140 | 0.672434 | ## classification.py
__all__ = ["Lazy",]
from .lazy import LazyClassifier
from .utils import *
from sklearn.model_selection import train_test_split
import pandas
class Lazy:
def _lazy_split(self,descriptors_data,test_size,random_state):
if Data_frame_validator(descriptors_data):
data... | 0 | 0 | 0 | 1,442 | 0 | 0 | 0 | 33 | 182 |
9d438aadf58244488ff98e5078d8104573590578 | 3,099 | py | Python | pkgs/sdk-pkg/src/genie/libs/sdk/libs/abstracted_libs/iosxr/subsection.py | jbronikowski/genielibs | 200a34e5fe4838a27b5a80d5973651b2e34ccafb | [
"Apache-2.0"
] | 94 | 2018-04-30T20:29:15.000Z | 2022-03-29T13:40:31.000Z | pkgs/sdk-pkg/src/genie/libs/sdk/libs/abstracted_libs/iosxr/subsection.py | jbronikowski/genielibs | 200a34e5fe4838a27b5a80d5973651b2e34ccafb | [
"Apache-2.0"
] | 67 | 2018-12-06T21:08:09.000Z | 2022-03-29T18:00:46.000Z | pkgs/sdk-pkg/src/genie/libs/sdk/libs/abstracted_libs/iosxr/subsection.py | jbronikowski/genielibs | 200a34e5fe4838a27b5a80d5973651b2e34ccafb | [
"Apache-2.0"
] | 49 | 2018-06-29T18:59:03.000Z | 2022-03-10T02:07:59.000Z | # Python
import logging
# Abstract
from genie.abstract import Lookup
# Parser
from genie.metaparser.util.exceptions import SchemaEmptyParserError
# unicon
from unicon.eal.dialogs import Statement, Dialog
log = logging.getLogger(__name__)
def save_device_information(device, **kwargs):
"""Install the commit pac... | 26.042017 | 77 | 0.601162 | # Python
import logging
from os import path
# Abstract
from genie.abstract import Lookup
# Parser
from genie.libs import parser
from genie.metaparser.util.exceptions import SchemaEmptyParserError
# unicon
from unicon.eal.dialogs import Statement, Dialog
log = logging.getLogger(__name__)
def save_device_informatio... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 44 |
fb43dcb45f5d7511c1b7ad5465521087e7f16242 | 3,879 | py | Python | open_fmri/apps/dataset/migrations/0001_initial.py | rwblair/open_fmri | 5e3052878b6d514553a074a6d9d44fe740daa034 | [
"BSD-3-Clause"
] | 5 | 2016-01-18T20:54:18.000Z | 2021-02-10T10:43:59.000Z | open_fmri/apps/dataset/migrations/0001_initial.py | rwblair/open_fmri | 5e3052878b6d514553a074a6d9d44fe740daa034 | [
"BSD-3-Clause"
] | 25 | 2015-12-02T17:37:45.000Z | 2018-02-05T22:07:51.000Z | open_fmri/apps/dataset/migrations/0001_initial.py | rwblair/open_fmri | 5e3052878b6d514553a074a6d9d44fe740daa034 | [
"BSD-3-Clause"
] | 6 | 2015-11-19T23:26:47.000Z | 2021-02-10T10:44:01.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
| 41.265957 | 224 | 0.565094 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
import django.core.validators
class Migration(migrations.Migration):
dependencies = [
]
operations = [
migrations.CreateModel(
name='Dataset',
fields=[
... | 0 | 0 | 0 | 3,719 | 0 | 0 | 0 | 27 | 68 |
9fc19f32a9cf06da8897f17f045d1bb765cb8c81 | 2,849 | py | Python | packages/core/minos-microservice-saga/tests/test_saga/test_executions/test_repositories/test_abc.py | minos-framework/minos-python | 9a6ad6783361f3d8a497a088808b55ea7a938c6c | [
"MIT"
] | 247 | 2022-01-24T14:55:30.000Z | 2022-03-25T12:06:17.000Z | packages/core/minos-microservice-saga/tests/test_saga/test_executions/test_repositories/test_abc.py | minos-framework/minos-python | 9a6ad6783361f3d8a497a088808b55ea7a938c6c | [
"MIT"
] | 168 | 2022-01-24T14:54:31.000Z | 2022-03-31T09:31:09.000Z | packages/core/minos-microservice-saga/tests/test_saga/test_executions/test_repositories/test_abc.py | minos-framework/minos-python | 9a6ad6783361f3d8a497a088808b55ea7a938c6c | [
"MIT"
] | 21 | 2022-02-06T17:25:58.000Z | 2022-03-27T04:50:29.000Z | import unittest
if __name__ == "__main__":
unittest.main()
| 29.371134 | 69 | 0.692524 | import unittest
from unittest.mock import (
AsyncMock,
call,
)
from uuid import (
UUID,
)
from minos.saga import (
SagaExecution,
SagaExecutionRepository,
)
from tests.utils import (
ADD_ORDER,
SagaTestCase,
)
class _SagaExecutionRepository(SagaExecutionRepository):
async def _store(s... | 0 | 0 | 2,210 | 62 | 0 | 0 | 0 | 134 | 376 |
25fcb95f8a4a06a86c76be9be03f3139ee47ed77 | 8,133 | py | Python | samples/example_by.py | jokva/windrose | 99a2f636a6558a29e7ded63d0d233f25dc7986b6 | [
"CECILL-B",
"BSD-3-Clause"
] | null | null | null | samples/example_by.py | jokva/windrose | 99a2f636a6558a29e7ded63d0d233f25dc7986b6 | [
"CECILL-B",
"BSD-3-Clause"
] | null | null | null | samples/example_by.py | jokva/windrose | 99a2f636a6558a29e7ded63d0d233f25dc7986b6 | [
"CECILL-B",
"BSD-3-Clause"
] | 1 | 2020-10-04T18:48:35.000Z | 2020-10-04T18:48:35.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
"""
sample using "by" keyword
"""
# import matplotlib
# matplotlib.use("Agg")
# import matplotlib as mpl
import matplotlib.cm as cm
from windrose import (FIGSIZE_DEFAULT)
S_FIGSIZE_DEFAULT = ",".join(map(str, FIGSIZE_DEFAULT))
... | 31.523256 | 110 | 0.624985 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import print_function
"""
sample using "by" keyword
"""
import click
# import matplotlib
# matplotlib.use("Agg")
# import matplotlib as mpl
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import numpy as np
import pandas as pd
from windrose ... | 0 | 5,232 | 0 | 2,172 | 0 | 91 | 0 | 23 | 251 |
8aa086dfd06626e4b4e36485c4d38dd75160c536 | 8,316 | py | Python | gt/reid.py | solapark/frcnn_keras_original | 3561d1de18f41868efc9cec927761613d75a5dc3 | [
"Apache-2.0"
] | null | null | null | gt/reid.py | solapark/frcnn_keras_original | 3561d1de18f41868efc9cec927761613d75a5dc3 | [
"Apache-2.0"
] | null | null | null | gt/reid.py | solapark/frcnn_keras_original | 3561d1de18f41868efc9cec927761613d75a5dc3 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import os, sys
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
if __name__ == '__main__':
from option import args
import pickle
with open('/home/sap/frcnn_keras/mv_train_two_reid.pickle', 'rb') as f:
reid_pickle = pickle.load(f)
pred_box, pred_box... | 46.983051 | 162 | 0.641775 | import numpy as np
import os, sys
sys.path.append(os.path.dirname(os.path.abspath(os.path.dirname(__file__))))
import utility
from epipolar import EPIPOLAR
import cv2
class REID:
def __init__(self, args):
self.num_valid_cam = args.num_valid_cam
self.num_nms = args.num_nms
self.batch_size = ... | 0 | 0 | 0 | 6,767 | 0 | 0 | 0 | -10 | 89 |
869daa2374c26f25d0517f0a880b5bc63581fcf1 | 3,413 | py | Python | dagflow/sdk.py | GodQ/autoflow | 74954dafb9cdb16c29b9f3a7d081a3f3a12e808a | [
"Apache-2.0"
] | 1 | 2019-06-20T15:31:13.000Z | 2019-06-20T15:31:13.000Z | dagflow/sdk.py | GodQ/dagflow | 74954dafb9cdb16c29b9f3a7d081a3f3a12e808a | [
"Apache-2.0"
] | null | null | null | dagflow/sdk.py | GodQ/dagflow | 74954dafb9cdb16c29b9f3a7d081a3f3a12e808a | [
"Apache-2.0"
] | null | null | null | __author__ = 'godq'
from dagflow.loader import get_DagRepo_Object
dag_repo = get_DagRepo_Object()
| 31.601852 | 98 | 0.745971 | __author__ = 'godq'
import os
import sys
from dagflow.flow_operation import send_start_flow_msg as sdk_send_start_flow_msg, \
send_finish_step_msg as sdk_send_finish_step_msg
from dagflow.loader import get_DagRepo_Object
dag_repo = get_DagRepo_Object()
def send_finish_step_msg(dag_name, dag_run_id, step_name, st... | 0 | 0 | 0 | 0 | 0 | 2,844 | 0 | 93 | 366 |
39e69d64294449e607d3625ba49e9a9d1fcc26c9 | 3,965 | py | Python | writer.py | MrBoogie27/PlagiarismPrograms | 05564131c6849747a9a7b8c56961d488cb5a2755 | [
"MIT"
] | null | null | null | writer.py | MrBoogie27/PlagiarismPrograms | 05564131c6849747a9a7b8c56961d488cb5a2755 | [
"MIT"
] | null | null | null | writer.py | MrBoogie27/PlagiarismPrograms | 05564131c6849747a9a7b8c56961d488cb5a2755 | [
"MIT"
] | null | null | null |
TABLE_NAME='runs'
TABLE_TEXT_MATCHES= 'text_matches'
COLUMNS=('id', 'content', 'ASTHash')
COLUMNS_MATCH=('first_runs_id', 'second_runs_id', 'match_AST_v1')
PROBLEM_ID=3
COUNT_LIMIT = 100
| 38.495146 | 87 | 0.538462 | from common import compare_array
from prepare_hash import run_binary_hasher
import psycopg2
import tempfile
from psycopg2 import sql
TABLE_NAME='runs'
TABLE_TEXT_MATCHES= 'text_matches'
COLUMNS=('id', 'content', 'ASTHash')
COLUMNS_MATCH=('first_runs_id', 'second_runs_id', 'match_AST_v1')
PROBLEM_ID=3
COUNT_LIMIT = 10... | 0 | 0 | 0 | 0 | 0 | 3,505 | 0 | 23 | 248 |
5c92b9919c5b5d586563d3d52b13ac345250227f | 262 | py | Python | api/static.py | hartliddell/api | 73d44d2271c01fe7540fedeee9174c4032cbbbc0 | [
"MIT"
] | null | null | null | api/static.py | hartliddell/api | 73d44d2271c01fe7540fedeee9174c4032cbbbc0 | [
"MIT"
] | null | null | null | api/static.py | hartliddell/api | 73d44d2271c01fe7540fedeee9174c4032cbbbc0 | [
"MIT"
] | null | null | null | """Define a custom static storage class."""
| 29.111111 | 73 | 0.79771 | """Define a custom static storage class."""
from django.contrib.staticfiles.storage import ManifestStaticFilesStorage
class RyrManifestStaticFilesStorage(ManifestStaticFilesStorage):
"""Define a custom static storage class."""
manifest_strict = False
| 0 | 0 | 0 | 120 | 0 | 0 | 0 | 52 | 45 |
f3e92c79550d52d83e93cc3237d16de166bd98cb | 4,394 | py | Python | todos/tests.py | shiniao/todoz | 4cb2cf492f6cfac5e037da6e7b3b674ef548e62a | [
"MIT"
] | 1 | 2020-01-13T03:32:11.000Z | 2020-01-13T03:32:11.000Z | todos/tests.py | shiniao/todoz | 4cb2cf492f6cfac5e037da6e7b3b674ef548e62a | [
"MIT"
] | 6 | 2021-05-10T19:58:23.000Z | 2022-02-26T20:29:39.000Z | todos/tests.py | shiniao/todoz | 4cb2cf492f6cfac5e037da6e7b3b674ef548e62a | [
"MIT"
] | null | null | null | # Create your tests here.
| 32.072993 | 85 | 0.574192 | # Create your tests here.
import json
from django.contrib.auth.models import User
from django.test import TestCase, Client
from .models import Todo
from django.utils import timezone
import datetime
class TestTodosModel(TestCase):
"""测试数据库model"""
def test_is_past(self):
# 未来土豆
future_date = ... | 177 | 0 | 0 | 4,040 | 0 | 0 | 0 | 40 | 225 |