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bb98c44e8fa26ce54915941fc3a287b0552567e3 | 3,179 | py | Python | sdk/tests/tutorials/ibor/test_orders.py | bogdanLicaFinbourne/lusid-sdk-python-preview | f0f91f992e0417733c4c8abd2674d080a52b6890 | [
"MIT"
] | null | null | null | sdk/tests/tutorials/ibor/test_orders.py | bogdanLicaFinbourne/lusid-sdk-python-preview | f0f91f992e0417733c4c8abd2674d080a52b6890 | [
"MIT"
] | null | null | null | sdk/tests/tutorials/ibor/test_orders.py | bogdanLicaFinbourne/lusid-sdk-python-preview | f0f91f992e0417733c4c8abd2674d080a52b6890 | [
"MIT"
] | null | null | null | import lusid.models as models
| 47.447761 | 120 | 0.668764 | import unittest
import uuid
import lusid
import lusid.models as models
from lusid import OrderRequest
from lusid import OrderSetRequest
from lusid import PerpetualProperty
from lusid import PropertyValue
from lusid import ResourceId
from lusidfeature import lusid_feature
from utilities import InstrumentLoader
from util... | 0 | 2,740 | 0 | 11 | 0 | 0 | 0 | 79 | 319 |
577ed133ee90762b442ba14ff5ab164abc6ac3a1 | 501 | py | Python | Lib/test/test_tk.py | fochoao/CPython | c92e0770af558fe3e440e44d3605c3acaf3c5b68 | [
"TCL",
"0BSD"
] | null | null | null | Lib/test/test_tk.py | fochoao/CPython | c92e0770af558fe3e440e44d3605c3acaf3c5b68 | [
"TCL",
"0BSD"
] | null | null | null | Lib/test/test_tk.py | fochoao/CPython | c92e0770af558fe3e440e44d3605c3acaf3c5b68 | [
"TCL",
"0BSD"
] | null | null | null | import unittest
from test import support
from test.support import check_sanitizer
if check_sanitizer(address=True, memory=True):
raise unittest.SkipTest("Tests involvin libX11 can SEGFAULT on ASAN/MSAN builds")
# Skip test if _tkinter wasn't built.
support.import_module('_tkinter')
# Skip test if tk cannot be in... | 25.05 | 85 | 0.768463 | import unittest
from test import support
from test.support import check_sanitizer
if check_sanitizer(address=True, memory=True):
raise unittest.SkipTest("Tests involvin libX11 can SEGFAULT on ASAN/MSAN builds")
# Skip test if _tkinter wasn't built.
support.import_module('_tkinter')
# Skip test if tk cannot be in... | 0 | 0 | 0 | 0 | 0 | 74 | 0 | 0 | 23 |
41e04cd3b83b3555e5e9969dc2bf78865b546d84 | 1,100 | py | Python | tests/test_distribution_function.py | ryuji0123/statistics_demo | c0b13ea73b351bdff24c492696e53f9eed04dba6 | [
"MIT"
] | null | null | null | tests/test_distribution_function.py | ryuji0123/statistics_demo | c0b13ea73b351bdff24c492696e53f9eed04dba6 | [
"MIT"
] | 2 | 2021-03-22T11:30:59.000Z | 2021-10-16T00:58:19.000Z | tests/test_distribution_function.py | ryuji0123/statistics_demo | c0b13ea73b351bdff24c492696e53f9eed04dba6 | [
"MIT"
] | 1 | 2021-05-09T03:12:26.000Z | 2021-05-09T03:12:26.000Z | from os.path import exists
from src.distribution_function import (GaussianProbabilisticDistributionHandler, BetaProbabilisticDistributionHandler)
import cv2
def examine_show_or_save_figure_function(distribution_type: str) -> None:
'''Test show_figure, save_figure function.
Args:
distribution_type: 'g... | 31.428571 | 84 | 0.71 | from os.path import exists
from src.distribution_function import (
GaussianProbabilisticDistributionHandler,
BetaProbabilisticDistributionHandler
)
import cv2
def examine_show_or_save_figure_function(distribution_type: str) -> None:
'''Test show_figure, save_figure function.
Args:
distributio... | 0 | 0 | 0 | 0 | 0 | 99 | 0 | 10 | 23 |
6d0a2e894859e27d134d0d30978210a2f6bc6805 | 10,025 | py | Python | spectrai/networks/nets/densenet.py | conor-horgan/spectrai | 121dc677f161dbe85f62febc295909d1fb1825af | [
"Apache-2.0"
] | 10 | 2021-08-19T02:58:13.000Z | 2022-03-31T07:27:48.000Z | spectrai/networks/nets/densenet.py | conor-horgan/spectrai | 121dc677f161dbe85f62febc295909d1fb1825af | [
"Apache-2.0"
] | null | null | null | spectrai/networks/nets/densenet.py | conor-horgan/spectrai | 121dc677f161dbe85f62febc295909d1fb1825af | [
"Apache-2.0"
] | 5 | 2021-08-19T03:43:55.000Z | 2022-03-29T02:35:01.000Z | import torch.nn as nn
# ------------------------------------------------------------
# DenseNet
# ------------------------------------------------------------
# This code is adapted from: https://github.com/pytorch/vision/blob/master/torchvision/models/densenet.py
# The corresponding paper is... | 44.358407 | 107 | 0.613267 | import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.utils.checkpoint as cp
from collections import OrderedDict
from torch import Tensor
from typing import Any, List, Tuple
from spectrai.networks.layers import BasicConv
from spectrai.networks.layer_utils import get_normalization, get_pooling... | 0 | 372 | 0 | 7,956 | 0 | 661 | 0 | 122 | 384 |
6741732a8e359cf08df14faab6836637e45db74c | 5,302 | py | Python | ec2api/tests/unit/test_s3.py | NeCTAR-RC/ec2-api | 7cc7395a110954c1bb330acbb2fcf5ca96b18ba0 | [
"Apache-2.0"
] | null | null | null | ec2api/tests/unit/test_s3.py | NeCTAR-RC/ec2-api | 7cc7395a110954c1bb330acbb2fcf5ca96b18ba0 | [
"Apache-2.0"
] | null | null | null | ec2api/tests/unit/test_s3.py | NeCTAR-RC/ec2-api | 7cc7395a110954c1bb330acbb2fcf5ca96b18ba0 | [
"Apache-2.0"
] | null | null | null | # Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# 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 ... | 38.985294 | 79 | 0.651264 | # Copyright 2010 United States Government as represented by the
# Administrator of the National Aeronautics and Space Administration.
# 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 ... | 0 | 0 | 0 | 4,228 | 0 | 0 | 0 | 76 | 178 |
9bca0adb5af33678efd54b222ad67744cbae69c5 | 3,433 | py | Python | dynamorm/signals.py | smtheard/dynamorm | cc6dd139a53f5834bf2f6abf4c90f59ea675ace9 | [
"Apache-2.0"
] | null | null | null | dynamorm/signals.py | smtheard/dynamorm | cc6dd139a53f5834bf2f6abf4c90f59ea675ace9 | [
"Apache-2.0"
] | null | null | null | dynamorm/signals.py | smtheard/dynamorm | cc6dd139a53f5834bf2f6abf4c90f59ea675ace9 | [
"Apache-2.0"
] | null | null | null | """Signals provide a way for applications to loosely couple themselves and respond to different life cycle events.
The `blinker`_ library provides the low-level signal implementation.
To use the signals you ``connect`` a receiver function to the signals you're interested in:
.. code-block:: python
from dynamorm... | 30.114035 | 114 | 0.698806 | """Signals provide a way for applications to loosely couple themselves and respond to different life cycle events.
The `blinker`_ library provides the low-level signal implementation.
To use the signals you ``connect`` a receiver function to the signals you're interested in:
.. code-block:: python
from dynamorm... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4dae598a92ef8fbed813ee4bc1b370eae8f672f2 | 92 | py | Python | tests/__init__.py | Iceberg-Marketplace/Iceberg-API-PYTHON | 5f8314376ebb6e5a8099253ec79fd40ea835beac | [
"MIT"
] | null | null | null | tests/__init__.py | Iceberg-Marketplace/Iceberg-API-PYTHON | 5f8314376ebb6e5a8099253ec79fd40ea835beac | [
"MIT"
] | 2 | 2015-01-26T10:22:41.000Z | 2015-01-26T10:22:41.000Z | tests/__init__.py | Iceberg-Marketplace/Iceberg-API-PYTHON | 5f8314376ebb6e5a8099253ec79fd40ea835beac | [
"MIT"
] | 3 | 2016-12-30T15:08:57.000Z | 2019-09-24T14:13:44.000Z | # -*- coding: utf-8 -*-
import logging
logging.getLogger('requests').setLevel(logging.INFO)
| 23 | 52 | 0.717391 | # -*- coding: utf-8 -*-
import logging
logging.getLogger('requests').setLevel(logging.INFO)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
80d763bbe711b8dea2ff99207997bb262bab8c81 | 768 | py | Python | scripts/fetch_mp_data.py | sgbaird/ml-matrics | e0560af810b12cae3a34dd818d628360de2d96e5 | [
"MIT"
] | 11 | 2021-07-12T02:12:02.000Z | 2022-02-14T19:06:22.000Z | scripts/fetch_mp_data.py | sgbaird/ml-matrics | e0560af810b12cae3a34dd818d628360de2d96e5 | [
"MIT"
] | 7 | 2021-10-14T10:00:01.000Z | 2022-03-01T21:09:30.000Z | scripts/fetch_mp_data.py | sgbaird/ml-matrics | e0560af810b12cae3a34dd818d628360de2d96e5 | [
"MIT"
] | 2 | 2021-10-01T10:00:50.000Z | 2022-02-12T08:50:22.000Z | # %%
import pandas as pd
from matminer.datasets import load_dataset
from pymatgen.ext.matproj import MPRester
from ml_matrics import ROOT
# %%
# needs MP API key in ~/.pmgrc.yml available at https://materialsproject.org/dashboard
# pmg config --add PMG_MAPI_KEY <your_key>
with MPRester() as mpr:
formulas = mpr.q... | 25.6 | 86 | 0.722656 | # %%
import pandas as pd
from matminer.datasets import load_dataset
from pymatgen.ext.matproj import MPRester
from ml_matrics import ROOT
# %%
# needs MP API key in ~/.pmgrc.yml available at https://materialsproject.org/dashboard
# pmg config --add PMG_MAPI_KEY <your_key>
with MPRester() as mpr:
formulas = mpr.q... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
0c3491af49b2c96121bd0b401cc0eed1f1f34992 | 12,398 | py | Python | Assignment.3/SocialNetwork.py | ash0x0/AUC-ProgrammingLanguagePython | 3fc64c6acac981eef30d5b48278f06086ef4212b | [
"Apache-2.0"
] | 1 | 2021-04-25T08:09:57.000Z | 2021-04-25T08:09:57.000Z | SocialNetwork.py | ash0x0/SocialNetworkAssignment | b5e5dc8021e64c56bc22a4787f40770a91cabe88 | [
"Apache-2.0"
] | null | null | null | SocialNetwork.py | ash0x0/SocialNetworkAssignment | b5e5dc8021e64c56bc22a4787f40770a91cabe88 | [
"Apache-2.0"
] | null | null | null |
"""This module is a graph-based social network model using networkx with a dictionaries of dictionaries
implementation. Please make sure to install the following dependencies before running:
- networkx: pip3 install networkx
- matplotlib: pip3 install matplotlib
- tkinter: apt install pyton... | 49.394422 | 112 | 0.657203 | import networkx
import matplotlib.pyplot as plot
import random
import math
"""This module is a graph-based social network model using networkx with a dictionaries of dictionaries
implementation. Please make sure to install the following dependencies before running:
- networkx: pip3 install networkx
... | 0 | 0 | 0 | 10,922 | 0 | 0 | 0 | -13 | 111 |
bde0cf7f70524b358a8f4e9e421ce32e214ffd39 | 5,299 | py | Python | scripts/hierarchical_clustering.py | HexFlow/tipsy | a656ff21a413bef5f94461a9d1ffd12ec0d779c0 | [
"Apache-2.0"
] | 14 | 2018-02-12T22:06:33.000Z | 2021-02-21T19:59:36.000Z | scripts/hierarchical_clustering.py | HexFlow/tipsy | a656ff21a413bef5f94461a9d1ffd12ec0d779c0 | [
"Apache-2.0"
] | null | null | null | scripts/hierarchical_clustering.py | HexFlow/tipsy | a656ff21a413bef5f94461a9d1ffd12ec0d779c0 | [
"Apache-2.0"
] | 1 | 2019-01-06T13:02:22.000Z | 2019-01-06T13:02:22.000Z | #!/usr/bin/env python2
from __future__ import print_function
import matplotlib
from matplotlib import pyplot as plt
from scipy.cluster.hierarchy import linkage, cophenet, to_tree
import numpy as np
import json
import sys
matplotlib.rcParams.update({'font.size': 18})
SHOWPLOT = 0
if len(sys.argv) >= 2 and sys.argv[... | 29.769663 | 169 | 0.603699 | #!/usr/bin/env python2
from __future__ import print_function
import matplotlib
from matplotlib import pyplot as plt
from scipy.cluster.hierarchy import dendrogram, linkage, cophenet, to_tree
import numpy as np
import json
import sys
import os
matplotlib.rcParams.update({'font.size': 18})
SHOWPLOT = 0
if len(sys.ar... | 0 | 0 | 0 | 0 | 0 | 1,986 | 0 | 0 | 137 |
2bf0d919cba1518576d772b8c7f54234a77743e6 | 2,777 | py | Python | L1TriggerConfig/GctConfigProducers/python/l1GctConfig_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 852 | 2015-01-11T21:03:51.000Z | 2022-03-25T21:14:00.000Z | L1TriggerConfig/GctConfigProducers/python/l1GctConfig_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 30,371 | 2015-01-02T00:14:40.000Z | 2022-03-31T23:26:05.000Z | L1TriggerConfig/GctConfigProducers/python/l1GctConfig_cfi.py | ckamtsikis/cmssw | ea19fe642bb7537cbf58451dcf73aa5fd1b66250 | [
"Apache-2.0"
] | 3,240 | 2015-01-02T05:53:18.000Z | 2022-03-31T17:24:21.000Z | import FWCore.ParameterSet.Config as cms
L1GctConfigProducers = cms.ESProducer("L1GctConfigProducers",
JetFinderCentralJetSeed = cms.double(5.0),
JetFinderForwardJetSeed = cms.double(5.0),
TauIsoEtThreshold = cms.double(2.0),
HtJetEtThreshold = cms.double(10.0),
MHtJetEtThreshold = cms.double(10.0)... | 60.369565 | 112 | 0.702197 | import FWCore.ParameterSet.Config as cms
L1GctConfigProducers = cms.ESProducer("L1GctConfigProducers",
JetFinderCentralJetSeed = cms.double(5.0),
JetFinderForwardJetSeed = cms.double(5.0),
TauIsoEtThreshold = cms.double(2.0),
HtJetEtThreshold = cms.double(10.0),
MHtJetEtThreshold = cms.double(10.0)... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fc4ef7a37ff944e2d237c647e18f5d1ea1051227 | 3,312 | py | Python | search/services/fulltext.py | f380cedric/arxiv-search | 3d438cd82fb804db6ace55444aecdaa2dd772b05 | [
"MIT"
] | null | null | null | search/services/fulltext.py | f380cedric/arxiv-search | 3d438cd82fb804db6ace55444aecdaa2dd772b05 | [
"MIT"
] | null | null | null | search/services/fulltext.py | f380cedric/arxiv-search | 3d438cd82fb804db6ace55444aecdaa2dd772b05 | [
"MIT"
] | null | null | null | """Provides access to fulltext content for arXiv papers."""
from search.context import get_application_config, get_application_global
def init_app(app: object = None) -> None:
"""Set default configuration parameters for an application instance."""
config = get_application_config(app)
config.setdefault(
... | 31.542857 | 78 | 0.625302 | """Provides access to fulltext content for arXiv papers."""
import json
from http import HTTPStatus
from functools import wraps
from urllib.parse import urljoin
import requests
from search.domain import Fulltext
from search.context import get_application_config, get_application_global
class FulltextSession(object)... | 0 | 150 | 0 | 1,972 | 0 | 0 | 0 | 20 | 181 |
16293d5e4754df529b611a6d4ce050a9a5bc95e2 | 3,959 | py | Python | modules/rats/cybergate.py | nidsche/viper | d4e3b572fe772efc06e6879f7403b1c49e37f46f | [
"BSD-3-Clause"
] | 97 | 2017-12-18T15:19:28.000Z | 2022-03-25T07:10:00.000Z | modules/reversing/viper/rats/cybergate.py | robertdigital/CIRTKit | 58b8793ada69320ffdbdd4ecdc04a3bb2fa83c37 | [
"MIT"
] | 1 | 2019-01-29T16:29:27.000Z | 2019-01-29T16:29:27.000Z | modules/reversing/viper/rats/cybergate.py | robertdigital/CIRTKit | 58b8793ada69320ffdbdd4ecdc04a3bb2fa83c37 | [
"MIT"
] | 21 | 2018-04-04T18:12:13.000Z | 2021-06-12T09:40:58.000Z | # Originally written by Kevin Breen (@KevTheHermit):
# https://github.com/kevthehermit/RATDecoders/blob/master/DarkComet.py
| 39.59 | 84 | 0.55317 | # Originally written by Kevin Breen (@KevTheHermit):
# https://github.com/kevthehermit/RATDecoders/blob/master/DarkComet.py
import sys
import string
from struct import unpack
import pefile
from binascii import *
def xor(data):
key = 0xBC
encoded = bytearray(data)
for i in range(len(encoded)):
enco... | 0 | 0 | 0 | 0 | 0 | 3,673 | 0 | -22 | 184 |
3492bf7c556a2670ed363c146d121b670372e95f | 376 | py | Python | mfr/ext/pdf/__init__.py | mfraezz/modular-file-renderer | f45d92f5af547fe356c86d9e5497b2130c07647b | [
"Apache-2.0"
] | null | null | null | mfr/ext/pdf/__init__.py | mfraezz/modular-file-renderer | f45d92f5af547fe356c86d9e5497b2130c07647b | [
"Apache-2.0"
] | null | null | null | mfr/ext/pdf/__init__.py | mfraezz/modular-file-renderer | f45d92f5af547fe356c86d9e5497b2130c07647b | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
EXTENSIONS = ['.pdf']
| 19.789474 | 57 | 0.659574 | # -*- coding: utf-8 -*-
from mfr.core import FileHandler, get_file_extension
from .render import render_pdf
EXTENSIONS = ['.pdf']
class Handler(FileHandler):
"""FileHandler for Portable Document Format files."""
renderers = {
'html': render_pdf,
}
exporters = {}
def detect(self, fp):
... | 0 | 0 | 0 | 220 | 0 | 0 | 0 | 40 | 67 |
45dda8d0a08cb6557d6d1dce1fb2cb2730e498bb | 7,788 | py | Python | excel_to_pdf.py | samelsaid/pdf-filler | 6944654f08d2ea16ee6a55642f02a49e6206949f | [
"Unlicense"
] | null | null | null | excel_to_pdf.py | samelsaid/pdf-filler | 6944654f08d2ea16ee6a55642f02a49e6206949f | [
"Unlicense"
] | null | null | null | excel_to_pdf.py | samelsaid/pdf-filler | 6944654f08d2ea16ee6a55642f02a49e6206949f | [
"Unlicense"
] | null | null | null | #! python3
# Author: Elsaid Salem
# Credits: Gabor Szabo, GeeksForGeeks, Andrew Krcatovich
# Notes: use .xls format for the excel, make sure to add a no_images dir to the output location in -o param
#tahsine: x 23, y 445
# Known Issues:
'''
- two files are created, need to delete image-less one, for now sort by .pd... | 41.425532 | 212 | 0.673472 | #! python3
# Author: Elsaid Salem
# Credits: Gabor Szabo, GeeksForGeeks, Andrew Krcatovich
# Notes: use .xls format for the excel, make sure to add a no_images dir to the output location in -o param
#tahsine: x 23, y 445
# Known Issues:
'''
- two files are created, need to delete image-less one, for now sort by .pd... | 0 | 0 | 0 | 0 | 636 | 4,329 | 0 | 9 | 200 |
aa37b2d75fbb37cfd408e887000751b59f69971d | 179 | py | Python | run.py | wmvoje/pungent | 6d50052236ccd0ead7a9492ef1d42263b8221273 | [
"MIT"
] | null | null | null | run.py | wmvoje/pungent | 6d50052236ccd0ead7a9492ef1d42263b8221273 | [
"MIT"
] | 1 | 2022-02-12T03:06:12.000Z | 2022-02-12T03:06:12.000Z | run.py | wmvoje/pungent | 6d50052236ccd0ead7a9492ef1d42263b8221273 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from website import app
# Build logger if doesn't exist
import os
if not os.path.exists('/tmp/log.csv'):
os.mknod('/tmp/log.csv')
app.run(debug=True)
| 16.272727 | 38 | 0.692737 | #!/usr/bin/env python
from website import app
# Build logger if doesn't exist
import os
if not os.path.exists('/tmp/log.csv'):
os.mknod('/tmp/log.csv')
app.run(debug=True)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13fd5836761ec923c3024f00bb33dc2cea5c94dd | 1,601 | py | Python | direct_cloud_upload/widgets.py | koendewit/django-direct-cloud-upload | 2dbc12be87f0dc048671e88adbeea6f7179fcc7f | [
"BSD-3-Clause"
] | 6 | 2020-01-21T10:24:15.000Z | 2021-05-18T10:10:01.000Z | direct_cloud_upload/widgets.py | koendewit/django-direct-cloud-upload | 2dbc12be87f0dc048671e88adbeea6f7179fcc7f | [
"BSD-3-Clause"
] | 2 | 2021-04-18T20:33:47.000Z | 2021-05-18T10:58:52.000Z | direct_cloud_upload/widgets.py | koendewit/django-direct-cloud-upload | 2dbc12be87f0dc048671e88adbeea6f7179fcc7f | [
"BSD-3-Clause"
] | 1 | 2020-08-28T13:29:38.000Z | 2020-08-28T13:29:38.000Z | from django.core.signing import Signer
signer = Signer() | 42.131579 | 108 | 0.656465 | import time
from django.forms import Widget
from django.urls import reverse
from django.utils import baseconv
from django.core.signing import Signer
signer = Signer()
class CloudFileWidget(Widget):
template_name = "cloud_file_widget.html"
def __init__(self,
bucket_identifier: str,
... | 0 | 0 | 0 | 1,410 | 0 | 0 | 0 | 22 | 112 |
0f067252d9598bab3125bff72dc57cd5463738a3 | 11,179 | py | Python | python/sparktk/arguments.py | lewisc/spark-tk | 5548fc925b5c278263cbdebbd9e8c7593320c2f4 | [
"ECL-2.0",
"Apache-2.0"
] | 34 | 2016-05-20T22:26:05.000Z | 2022-01-21T12:55:13.000Z | python/sparktk/arguments.py | lewisc/spark-tk | 5548fc925b5c278263cbdebbd9e8c7593320c2f4 | [
"ECL-2.0",
"Apache-2.0"
] | 70 | 2016-06-28T01:11:21.000Z | 2021-03-15T21:40:01.000Z | python/sparktk/arguments.py | lewisc/spark-tk | 5548fc925b5c278263cbdebbd9e8c7593320c2f4 | [
"ECL-2.0",
"Apache-2.0"
] | 34 | 2016-04-21T22:25:22.000Z | 2020-10-06T09:23:43.000Z | # vim: set encoding=utf-8
# Copyright(c)2016 IntelCorporation
#
# LicensedundertheApacheLicense,Version2.0(the"License");
# youmaynotusethisfileexceptincompliancewiththeLicense.
# YoumayobtainacopyoftheLicenseat
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unlessrequiredbyapplicablelaworagreedtoinwriting,s... | 40.79927 | 181 | 0.677163 | # vim: set encoding=utf-8
# Copyright (c) 2016 Intel Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless require... | 156 | 778 | 0 | 3,225 | 0 | 0 | 0 | 0 | 69 |
d24b6e45881fbe989ba7c6c392b7c6f31586f158 | 3,902 | py | Python | SubBadgeMaker.py | MsonC/ImageResizer | d318fe6deafdeae61d7b9c4d6a3632c060a1fcab | [
"MIT"
] | null | null | null | SubBadgeMaker.py | MsonC/ImageResizer | d318fe6deafdeae61d7b9c4d6a3632c060a1fcab | [
"MIT"
] | null | null | null | SubBadgeMaker.py | MsonC/ImageResizer | d318fe6deafdeae61d7b9c4d6a3632c060a1fcab | [
"MIT"
] | null | null | null | import os
import argparse
import glob
# TODO Change the image resize method to be more dynamic. As in add a loop to do the given sizes instead of the presets
default_sizes = ['18', '36', '72'] # Twitchs required Sub Badge sizes
if __name__ == '__main__':
parser = argparse.ArgumentParser(
... | 49.392405 | 165 | 0.541261 | import os, sys
import PIL
from PIL import Image
import argparse
import glob
# TODO Change the image resize method to be more dynamic. As in add a loop to do the given sizes instead of the presets
default_sizes = ['18', '36', '72'] # Twitchs required Sub Badge sizes
def resize_image(input_image_path, o... | 0 | 0 | 0 | 0 | 0 | 508 | 0 | -6 | 71 |
bc8b2adb748d9a10ccfd0487a33ac5f3732aec4c | 4,783 | py | Python | tests/toranj/test-603-channel-manager-announce-recovery.py | e-rk/openthread | e18877210ac9a74f93786c74ae654233928c2b0c | [
"BSD-3-Clause"
] | 1 | 2018-09-25T15:27:26.000Z | 2018-09-25T15:27:26.000Z | tests/toranj/test-603-channel-manager-announce-recovery.py | e-rk/openthread | e18877210ac9a74f93786c74ae654233928c2b0c | [
"BSD-3-Clause"
] | 2 | 2017-03-23T07:47:54.000Z | 2017-08-21T03:12:31.000Z | tests/toranj/test-603-channel-manager-announce-recovery.py | e-rk/openthread | e18877210ac9a74f93786c74ae654233928c2b0c | [
"BSD-3-Clause"
] | 3 | 2018-03-14T10:33:34.000Z | 2018-09-11T11:04:21.000Z | #!/usr/bin/env python
#
# Copyright (c) 2018, The OpenThread Authors.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright
# ... | 39.858333 | 120 | 0.612168 | #!/usr/bin/env python
#
# Copyright (c) 2018, The OpenThread Authors.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Redistributions of source code must retain the above copyright
# ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
447018ec9fbc4b9f16ce52992de06dc0879f9ccb | 127 | py | Python | Exercise_2_3.py | kushrami/Python-Crash-Course-book-Excersice | 7093181940a90d9f4bab5775ef56f57963450393 | [
"Apache-2.0"
] | null | null | null | Exercise_2_3.py | kushrami/Python-Crash-Course-book-Excersice | 7093181940a90d9f4bab5775ef56f57963450393 | [
"Apache-2.0"
] | null | null | null | Exercise_2_3.py | kushrami/Python-Crash-Course-book-Excersice | 7093181940a90d9f4bab5775ef56f57963450393 | [
"Apache-2.0"
] | null | null | null | #Personal message:
Personel_name = "Tony"
message = "You are doing great in coding."
print(Personel_name + "! " + message)
| 15.875 | 42 | 0.692913 | #Personal message:
Personel_name = "Tony"
message = "You are doing great in coding."
print(Personel_name + "! " + message)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a4265c978c844938b0c43bfcc0ecd90ee65f7f48 | 848 | py | Python | prog_praxis/xref.py | genos/online_problems | 324597e8b64d74ad96dbece551a8220a1b61e615 | [
"MIT"
] | 1 | 2020-07-17T13:15:21.000Z | 2020-07-17T13:15:21.000Z | prog_praxis/xref.py | genos/online_problems | 324597e8b64d74ad96dbece551a8220a1b61e615 | [
"MIT"
] | null | null | null | prog_praxis/xref.py | genos/online_problems | 324597e8b64d74ad96dbece551a8220a1b61e615 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
if __name__ == "__main__":
import sys
output(xref(sys.argv[1] if sys.argv[1:] else "xref.py"))
| 27.354839 | 79 | 0.545991 | #!/usr/bin/env python
from collections import defaultdict
from re import compile
def xref(file_name):
exclude = compile(r"[\\\"'\(\)\[\]:?.,]") # unwanted characters
comment = compile(r"\#.*") # comments
with open(file_name) as f:
lines = f.readlines()
d = defau... | 0 | 0 | 0 | 0 | 0 | 613 | 0 | 15 | 91 |
414b9a29e68ca45c4cbaf39715ebb86cbec45d9e | 6,128 | py | Python | solr_tasks/managed_resource.py | dataoverheid/solr-index-tasks | 864cb5aa4574458b6244392d3efce2ceab87dbd7 | [
"CC0-1.0"
] | null | null | null | solr_tasks/managed_resource.py | dataoverheid/solr-index-tasks | 864cb5aa4574458b6244392d3efce2ceab87dbd7 | [
"CC0-1.0"
] | null | null | null | solr_tasks/managed_resource.py | dataoverheid/solr-index-tasks | 864cb5aa4574458b6244392d3efce2ceab87dbd7 | [
"CC0-1.0"
] | null | null | null | # encoding: utf-8
if '__main__' == __name__:
main()
| 34.234637 | 82 | 0.655679 | # encoding: utf-8
import argparse
import logging
import os
from solr_tasks.lib import utils
from solr_tasks.lib.solr import SolrCollection, solr_collections
def manage_stopwords(collection: SolrCollection, language_code: str) -> None:
logging.info('managing stopwords_{0} resource'.format(language_code))
la... | 0 | 0 | 0 | 0 | 0 | 5,713 | 0 | 29 | 318 |
6a13b13c71cbbdc5d777582e2816afce1fa5fdeb | 153 | py | Python | map/generators/__init__.py | Alerion/fantasy_map | 1ed2d7daf44c10c4e5f747fda25b0afc8cd5ccfe | [
"MIT"
] | 12 | 2015-11-28T09:03:39.000Z | 2021-05-20T17:53:53.000Z | map/generators/__init__.py | frank-u/fantasy_map | 1ed2d7daf44c10c4e5f747fda25b0afc8cd5ccfe | [
"MIT"
] | 1 | 2015-08-05T13:55:00.000Z | 2015-08-17T17:13:16.000Z | map/generators/__init__.py | frank-u/fantasy_map | 1ed2d7daf44c10c4e5f747fda25b0afc8cd5ccfe | [
"MIT"
] | 3 | 2016-05-15T17:45:15.000Z | 2020-09-05T03:17:26.000Z | from . import points, graph, biomes, elevation, land, rivers, regions
__all__ = ['points', 'graph', 'biomes', 'elevation', 'land', 'rivers', 'regions']
| 38.25 | 81 | 0.673203 | from . import points, graph, biomes, elevation, land, rivers, regions
__all__ = ['points', 'graph', 'biomes', 'elevation', 'land', 'rivers', 'regions']
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
26e1ef023f0000587b0cbb0d10eb5b7a9ba0348a | 50,199 | py | Python | nova/cells/manager.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/cells/manager.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | null | null | null | nova/cells/manager.py | bopopescu/nova-token | ec98f69dea7b3e2b9013b27fd55a2c1a1ac6bfb2 | [
"Apache-2.0"
] | 2 | 2017-07-20T17:31:34.000Z | 2020-07-24T02:42:19.000Z | begin_unit
comment|'# Copyright (c) 2012 Rackspace Hosting'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
c... | 14.37543 | 763 | 0.623957 | begin_unit
comment|'# Copyright (c) 2012 Rackspace Hosting'
nl|'\n'
comment|'# All Rights Reserved.'
nl|'\n'
comment|'#'
nl|'\n'
comment|'# Licensed under the Apache License, Version 2.0 (the "License"); you may'
nl|'\n'
comment|'# not use this file except in compliance with the License. You may obtain'
nl|'\n'
c... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b9381edd654a1fae2353943186462ee4b5fdae8f | 2,490 | py | Python | jishaku/modules.py | diskord-dev/jishaku | 3355516219ef4a68ac5a058c6049afd9b061945a | [
"MIT"
] | 1 | 2021-11-23T16:43:09.000Z | 2021-11-23T16:43:09.000Z | jishaku/modules.py | MarzaElise/jishaku | 3355516219ef4a68ac5a058c6049afd9b061945a | [
"MIT"
] | 1 | 2021-10-18T13:27:21.000Z | 2021-10-18T13:27:21.000Z | jishaku/modules.py | MarzaElise/jishaku | 3355516219ef4a68ac5a058c6049afd9b061945a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
jishaku.modules
~~~~~~~~~~~~~~
Functions for managing and searching modules.
:copyright: (c) 2021 Devon (Gorialis) R
:license: MIT, see LICENSE for more details.
"""
import pathlib
import typing
import pkg_resources
from braceexpand import braceexpand
from diskord.ext import commands
... | 25.9375 | 95 | 0.642169 | # -*- coding: utf-8 -*-
"""
jishaku.modules
~~~~~~~~~~~~~~
Functions for managing and searching modules.
:copyright: (c) 2021 Devon (Gorialis) R
:license: MIT, see LICENSE for more details.
"""
import pathlib
import typing
import pkg_resources
from braceexpand import UnbalancedBracesError, braceexpand
from diskor... | 0 | 0 | 208 | 190 | 0 | 0 | 0 | 23 | 23 |
c751ad73f3eed0e7fd2fab7d562fa047416c6610 | 8,914 | py | Python | module2-sql-for-analysis/rpg_table.py | Struth-Rourke/DS-Unit-3-Sprint-2-SQL-and-Databases | 349a3a7ed932ebbac91c30c8eb23bf5be42bd862 | [
"MIT"
] | null | null | null | module2-sql-for-analysis/rpg_table.py | Struth-Rourke/DS-Unit-3-Sprint-2-SQL-and-Databases | 349a3a7ed932ebbac91c30c8eb23bf5be42bd862 | [
"MIT"
] | null | null | null | module2-sql-for-analysis/rpg_table.py | Struth-Rourke/DS-Unit-3-Sprint-2-SQL-and-Databases | 349a3a7ed932ebbac91c30c8eb23bf5be42bd862 | [
"MIT"
] | null | null | null | import os
import sqlite3
import pandas as pd
# For PostgreSQL
import psycopg2 as psycho
# .env for security -- load_dotenv necessary for python to actually go into
# .env folder and load the information
from dotenv import load_dotenv
load_dotenv()
# os filepath
DATABASE_FILEPATH = os.path.join(os.path.dirname(__f... | 25.614943 | 134 | 0.69116 | import os
import json
import sqlite3
import pandas as pd
# For PostgreSQL
import psycopg2 as psycho
from psycopg2.extras import execute_values
# .env for security -- load_dotenv necessary for python to actually go into
# .env folder and load the information
from dotenv import load_dotenv
load_dotenv()
# os filepa... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 45 |
354305159a0c064f9ef84bf0a119294188011e1f | 88 | py | Python | code/sample_1-2-18.py | KoyanagiHitoshi/AtCoder-Python-Introduction | 6d014e333a873f545b4d32d438e57cf428b10b96 | [
"MIT"
] | 1 | 2022-03-29T13:50:12.000Z | 2022-03-29T13:50:12.000Z | code/sample_1-2-18.py | KoyanagiHitoshi/AtCoder-Python-Introduction | 6d014e333a873f545b4d32d438e57cf428b10b96 | [
"MIT"
] | null | null | null | code/sample_1-2-18.py | KoyanagiHitoshi/AtCoder-Python-Introduction | 6d014e333a873f545b4d32d438e57cf428b10b96 | [
"MIT"
] | null | null | null | rows = int(input())
x = [list(map(int, input().split())) for i in range(rows)]
print(x)
| 22 | 58 | 0.613636 | rows = int(input())
x = [list(map(int, input().split())) for i in range(rows)]
print(x)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
86c69658b971442f01c858593a8db80f8833c0af | 447 | py | Python | geometry.py | Gowpenful/watson_compute | 7e15bd7b482bf342c66819ea09ae9832488e5e0e | [
"MIT"
] | 1 | 2020-06-03T11:47:11.000Z | 2020-06-03T11:47:11.000Z | geometry.py | Gowpenful/watson_compute | 7e15bd7b482bf342c66819ea09ae9832488e5e0e | [
"MIT"
] | null | null | null | geometry.py | Gowpenful/watson_compute | 7e15bd7b482bf342c66819ea09ae9832488e5e0e | [
"MIT"
] | null | null | null | from termcolor import cprint
from pyfiglet import figlet_format
cprint(figlet_format('Geometry', font='small'), 'blue', attrs=['bold', 'blink'])
cprint('==============================================', 'white', attrs=['blink'])
cprint('Scientific Calculator v.0.0.0', 'blue', attrs=['bold'])
cprint('=============... | 40.636364 | 83 | 0.550336 | import sys
from termcolor import cprint
from colorama import init
from pyfiglet import figlet_format
import pyperclip
cprint(figlet_format('Geometry', font='small'), 'blue', attrs=['bold', 'blink'])
cprint('==============================================', 'white', attrs=['blink'])
cprint('Scientific Calculator... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -12 | 69 |
6acf6bdee9b00eea74621d61b458ce3e04edc207 | 1,144 | py | Python | gwd/prepare_pseudo.py | kazakh-shai/kaggle-global-wheat-detection | b26295ea257f73089f1a067b70b4a7ee638f6b83 | [
"Apache-2.0"
] | 136 | 2020-08-24T08:18:16.000Z | 2022-03-31T13:45:12.000Z | gwd/prepare_pseudo.py | kazakh-shai/kaggle-global-wheat-detection | b26295ea257f73089f1a067b70b4a7ee638f6b83 | [
"Apache-2.0"
] | 5 | 2020-10-07T08:44:36.000Z | 2021-12-17T06:00:57.000Z | gwd/prepare_pseudo.py | kazakh-shai/kaggle-global-wheat-detection | b26295ea257f73089f1a067b70b4a7ee638f6b83 | [
"Apache-2.0"
] | 28 | 2020-08-24T11:07:07.000Z | 2022-01-01T13:07:54.000Z |
if __name__ == "__main__":
main()
| 34.666667 | 104 | 0.751748 | import argparse
import mmcv
from mmcv import Config
from gwd.datasets.wheat_detection import WheatDataset
from mmdet.datasets import build_dataset
def parse_args():
parser = argparse.ArgumentParser()
parser.add_argument("--config-path", default="configs/detectors/detectors_r50_ga_mstrain_stage2.py")
par... | 0 | 0 | 0 | 0 | 0 | 907 | 0 | 37 | 158 |
07b77c062612800ab8f0a24e3df66fafc2fc9d2d | 3,409 | py | Python | example/domain/domain/actions/index.py | flmnt/pantam | da47d977e69ec410d0642b5ade1f2323c1b6b350 | [
"MIT"
] | 2 | 2020-10-04T10:29:43.000Z | 2021-03-30T13:45:09.000Z | example/domain/domain/actions/index.py | flmnt/pantam | da47d977e69ec410d0642b5ade1f2323c1b6b350 | [
"MIT"
] | null | null | null | example/domain/domain/actions/index.py | flmnt/pantam | da47d977e69ec410d0642b5ade1f2323c1b6b350 | [
"MIT"
] | null | null | null | # pylint: disable=unused-argument, pointless-string-statement
| 32.160377 | 88 | 0.567028 | # pylint: disable=unused-argument, pointless-string-statement
import sqlite3
from pantam import JSONResponse, PlainTextResponse
class Index:
def __init__(self):
database = sqlite3.connect("db")
cursor = database.cursor()
cursor.execute(
"""CREATE TABLE IF NOT EXISTS users
... | 0 | 0 | 1,388 | 1,868 | 0 | 0 | 0 | 22 | 68 |
65fb57596a4c98918799e8eeefaf69ad9f5ae00a | 1,204 | py | Python | UploadOnYoutube.py | thisneelesh/AutomatedCompilationChannel | 8921d4d3eaa15a7fd993e4879ea439d3487b0bc4 | [
"MIT"
] | 4 | 2021-08-18T13:47:36.000Z | 2021-12-25T14:32:14.000Z | UploadOnYoutube.py | neeleshpandey/AutomatedCompilationChannel | 8921d4d3eaa15a7fd993e4879ea439d3487b0bc4 | [
"MIT"
] | null | null | null | UploadOnYoutube.py | neeleshpandey/AutomatedCompilationChannel | 8921d4d3eaa15a7fd993e4879ea439d3487b0bc4 | [
"MIT"
] | 1 | 2021-08-18T13:47:38.000Z | 2021-08-18T13:47:38.000Z |
CLIENT_SECRET_FILE = 'client_secrets.json' #API File Add Here(client Secret File)
API_NAME = 'youtube'
API_VERSION = 'v3'
SCOPES = ['https://www.googleapis.com/auth/youtube.upload']
if __name__ == "__main__":
uploadOnYoutube() | 34.4 | 95 | 0.651993 | from Google import Create_Service
from googleapiclient.http import MediaFileUpload
CLIENT_SECRET_FILE = 'client_secrets.json' #API File Add Here(client Secret File)
API_NAME = 'youtube'
API_VERSION = 'v3'
SCOPES = ['https://www.googleapis.com/auth/youtube.upload']
def uploadOnYoutube(): #Video Uploading Function
... | 0 | 0 | 0 | 0 | 0 | 865 | 0 | 39 | 67 |
ce9e6e2e7f71cf335212a4e546d248803483e29b | 6,395 | py | Python | tests/test_service.py | kevenli/silkyy | 105069e26a1ac04f170e55d732e030e68a4fdb86 | [
"Apache-2.0"
] | null | null | null | tests/test_service.py | kevenli/silkyy | 105069e26a1ac04f170e55d732e030e68a4fdb86 | [
"Apache-2.0"
] | null | null | null | tests/test_service.py | kevenli/silkyy | 105069e26a1ac04f170e55d732e030e68a4fdb86 | [
"Apache-2.0"
] | 1 | 2021-05-07T01:28:49.000Z | 2021-05-07T01:28:49.000Z | import logging
logger = logging.getLogger(__name__)
| 47.022059 | 113 | 0.608913 | from silkyy.service import *
from silkyy.config import Config
from tornado.testing import AsyncHTTPTestCase
from silkyy.idworker import IdWorker
import os.path
import urllib
import logging
from six.moves.urllib.parse import urlencode
logger = logging.getLogger(__name__)
class ServiceTestBase(AsyncHTTPTestC... | 0 | 239 | 0 | 5,820 | 0 | 0 | 0 | 65 | 211 |
622abd9557fa7540a48652a158a8b7620ef3045a | 2,262 | py | Python | model.py | Kapil706/Guten | 3068b97f51a4a891d714ce64585dc381c4800684 | [
"MIT"
] | 2 | 2019-06-03T06:42:38.000Z | 2019-07-31T16:47:56.000Z | model.py | Kapil706/Guten | 3068b97f51a4a891d714ce64585dc381c4800684 | [
"MIT"
] | null | null | null | model.py | Kapil706/Guten | 3068b97f51a4a891d714ce64585dc381c4800684 | [
"MIT"
] | null | null | null | import pandas as pd
from sklearn.linear_model import LogisticRegression
from sklearn.feature_extraction import DictVectorizer as DV
import csv
# Training data
# Data preparation with pandas
df1= pd.read_csv('train.csv')
df2= pd.read_csv('log_feature.csv')
df3=pd.read_csv('resource_type.csv')
df4=pd.read_csv('fault_ty... | 23.5625 | 90 | 0.748453 | import pandas as pd
import sklearn
from sklearn.linear_model import LogisticRegression
from sklearn.preprocessing import OneHotEncoder
from sklearn.preprocessing import scale
import numpy as np
from sklearn.feature_extraction import DictVectorizer as DV
from sklearn.svm import SVC, LinearSVC
import csv
# Training data
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 51 | 110 |
a00230fbec9ca0a9dad78d9f66a82322b062274c | 1,515 | py | Python | blog/urls.py | ilblackdragon/django-blogs | 66ce3e4590797f6c12eb1a84ea6e235bcba29a6b | [
"MIT"
] | 19 | 2015-01-08T10:57:30.000Z | 2021-04-07T13:31:22.000Z | blog/urls.py | ilblackdragon/django-blogs | 66ce3e4590797f6c12eb1a84ea6e235bcba29a6b | [
"MIT"
] | 1 | 2015-08-01T08:02:05.000Z | 2015-08-03T08:37:26.000Z | blog/urls.py | ilblackdragon/django-blogs | 66ce3e4590797f6c12eb1a84ea6e235bcba29a6b | [
"MIT"
] | 11 | 2015-03-06T13:05:52.000Z | 2021-04-07T13:33:44.000Z | # encoding: utf-8
try:
from django.conf.urls import patterns, url
except ImportError:
from django.conf.urls.defaults import patterns, url # Django < 1.6
from blog import settings
urlpatterns = patterns('blog.views',
url(r'^$', 'post_list', name='blog_post_list'),
url(r'^my_posts/$', 'my_post... | 40.945946 | 99 | 0.59934 | # encoding: utf-8
try:
from django.conf.urls import patterns, url
except ImportError:
from django.conf.urls.defaults import patterns, url # Django < 1.6
from blog.models import Post, Blog
from blog import settings
urlpatterns = patterns('blog.views',
url(r'^$', 'post_list', name='blog_post_lis... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 25 |
92e146432a4cdd187b38aa523f01ba6dec14733e | 2,141 | py | Python | Game/Pieces/Major/Rook.py | ritwikd/interom | 0b626351fd742f2a99d0a6d11ba8c1a214aab576 | [
"MIT"
] | null | null | null | Game/Pieces/Major/Rook.py | ritwikd/interom | 0b626351fd742f2a99d0a6d11ba8c1a214aab576 | [
"MIT"
] | 1 | 2021-03-06T22:08:32.000Z | 2021-03-06T22:09:07.000Z | Game/Pieces/Major/Rook.py | ritwikd/interom | 0b626351fd742f2a99d0a6d11ba8c1a214aab576 | [
"MIT"
] | 1 | 2021-03-03T22:48:07.000Z | 2021-03-03T22:48:07.000Z | from Game import Position
P_gen = Position.Position
| 33.453125 | 63 | 0.498832 | from Game import Piece, Position
P_gen = Position.Position
class Rook(Piece.Piece):
def __init__(self, board, P_s=(0,0), color=True):
Piece.Piece.__init__(self, board, P_s, 'R', color)
def valid_move(self, P_n):
# Compute deltas and displacement for new move
d_x = abs(P_n.x - self.P_c... | 0 | 0 | 0 | 2,054 | 0 | 0 | 0 | 7 | 23 |
7c58d45604fb37f69a3ee612ec766061ac0618d5 | 232 | py | Python | mmdet/utils/deployment/operations_domain.py | morkovka1337/mmdetection | 5187d94b6c96084b17817249622d6e4520213ae6 | [
"Apache-2.0"
] | 58 | 2020-09-21T08:17:26.000Z | 2022-03-31T19:38:14.000Z | mmdet/utils/deployment/operations_domain.py | morkovka1337/mmdetection | 5187d94b6c96084b17817249622d6e4520213ae6 | [
"Apache-2.0"
] | 170 | 2020-09-08T12:29:06.000Z | 2022-03-31T18:28:09.000Z | mmdet/utils/deployment/operations_domain.py | morkovka1337/mmdetection | 5187d94b6c96084b17817249622d6e4520213ae6 | [
"Apache-2.0"
] | 21 | 2020-10-06T13:49:41.000Z | 2022-03-30T14:52:45.000Z | # Copyright (C) 2020-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
DOMAIN_CUSTOM_OPS_NAME = 'org.openvinotoolkit'
| 29 | 56 | 0.758621 | # Copyright (C) 2020-2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
#
DOMAIN_CUSTOM_OPS_NAME = 'org.openvinotoolkit'
def add_domain(name_operator: str) -> str:
return DOMAIN_CUSTOM_OPS_NAME + '::' + name_operator
| 0 | 0 | 0 | 0 | 0 | 78 | 0 | 0 | 23 |
7d3620595949d604806694d0277f93aacc666d03 | 23,077 | py | Python | challenges/Diary_Parser/poller/for-testing/machine.py | pingjuiliao/cb-multios | 64ededd0b87030eda7c40c4388a4ad8283712d8e | [
"MIT"
] | 473 | 2016-08-01T12:48:16.000Z | 2022-03-09T18:13:14.000Z | challenges/Diary_Parser/poller/for-testing/machine.py | pingjuiliao/cb-multios | 64ededd0b87030eda7c40c4388a4ad8283712d8e | [
"MIT"
] | 71 | 2016-08-01T03:33:44.000Z | 2022-03-09T18:37:04.000Z | challenges/Diary_Parser/poller/for-testing/machine.py | pingjuiliao/cb-multios | 64ededd0b87030eda7c40c4388a4ad8283712d8e | [
"MIT"
] | 121 | 2016-08-01T04:07:53.000Z | 2022-03-07T11:08:09.000Z | #!/usr/bin/env python
#Author: James Nuttall (james@cromulence.co)
#Copyright (c) 2015 Cromulence LLC
#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 li... | 30.284777 | 134 | 0.670798 | #!/usr/bin/env python
#Author: James Nuttall (james@cromulence.co)
#Copyright (c) 2015 Cromulence LLC
#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 li... | 0 | 0 | 0 | 13,609 | 0 | 1,959 | 0 | 5 | 402 |
a5f1e0bd3015b72f841f33fcf44591242ab56695 | 524 | py | Python | websocket/relay.py | broadcaststorm/maestro-webex-service | d79af5b853916c696a104b23b1a5d7ff9986d317 | [
"MIT"
] | null | null | null | websocket/relay.py | broadcaststorm/maestro-webex-service | d79af5b853916c696a104b23b1a5d7ff9986d317 | [
"MIT"
] | null | null | null | websocket/relay.py | broadcaststorm/maestro-webex-service | d79af5b853916c696a104b23b1a5d7ff9986d317 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
| 18.714286 | 63 | 0.675573 | #!/usr/bin/env python3
import asyncio
import websockets
import heroku
async def produce(
message: str, host: str, port: int
):
async with websockets.connect(f'ws://{host}:{port}') as ws:
await ws.send(message)
return_comms = await ws.recv()
return return_comms
def relay_command_messag... | 0 | 0 | 198 | 0 | 0 | 206 | 0 | -19 | 114 |
0d436da8386f7f82c0f1a2068e6ca5b4cbf9bf6a | 210 | py | Python | src/settings.py | jmnel/binance-client | f65e383e5f8c6c0c7cbad9c8417da165e002f8e3 | [
"MIT"
] | null | null | null | src/settings.py | jmnel/binance-client | f65e383e5f8c6c0c7cbad9c8417da165e002f8e3 | [
"MIT"
] | null | null | null | src/settings.py | jmnel/binance-client | f65e383e5f8c6c0c7cbad9c8417da165e002f8e3 | [
"MIT"
] | null | null | null | from pathlib import Path
ENDPOINT_BASE = 'https://api.binance.com/api/v3/'
DATA_DIRECTORY = Path(__file__).resolve().parents[1] / 'data'
DATABASE_NAME = 'binance.sqlite3'
WEIGHT_DECAY = 15.0
NUM_WORKERS = 16
| 23.333333 | 61 | 0.747619 | from pathlib import Path
ENDPOINT_BASE = 'https://api.binance.com/api/v3/'
DATA_DIRECTORY = Path(__file__).resolve().parents[1] / 'data'
DATABASE_NAME = 'binance.sqlite3'
WEIGHT_DECAY = 15.0
NUM_WORKERS = 16
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4ccbecdb1b3d302d3578ae88a3948d7a7805798a | 7,185 | py | Python | templates/calc_manipulation.py | cwgaldino/py_backpack | d9e6e3bd35f1991b6849bcfcf0e4bac324ce34eb | [
"MIT"
] | null | null | null | templates/calc_manipulation.py | cwgaldino/py_backpack | d9e6e3bd35f1991b6849bcfcf0e4bac324ce34eb | [
"MIT"
] | null | null | null | templates/calc_manipulation.py | cwgaldino/py_backpack | d9e6e3bd35f1991b6849bcfcf0e4bac324ce34eb | [
"MIT"
] | null | null | null | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
"""Example code for manipulating libreoffice Calc."""
# standard imports
import numpy as np
import sys
sys.path.append('/home/galdino/github/py-backpack')
import backpack.libremanip
import importlib
importlib.reload(backpack.libremanip)
from backpack.libremanip import s... | 38.837838 | 127 | 0.759081 | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
"""Example code for manipulating libreoffice Calc."""
# standard imports
import numpy as np
from pathlib import Path
import sys
sys.path.append('/home/galdino/github/py-backpack')
import backpack.libremanip
import importlib
importlib.reload(backpack.libremanip)
from bac... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 22 |
59bd93cac2032e22bbcd06f08e33460815f69be1 | 247 | py | Python | trunk/Documentacion/Memoria/trozos-codigo/codigo-9-udp-test-udp-service.py | MGautier/security-sensor | 7063b1f095cfa02bb56ef2544d0395dbf155310f | [
"MIT"
] | 2 | 2016-08-15T21:25:40.000Z | 2020-06-22T12:25:48.000Z | trunk/Documentacion/Memoria/trozos-codigo/codigo-9-udp-test-udp-service.py | MGautier/security-sensor | 7063b1f095cfa02bb56ef2544d0395dbf155310f | [
"MIT"
] | 4 | 2020-06-05T17:32:18.000Z | 2021-06-10T19:05:56.000Z | trunk/Documentacion/Memoria/trozos-codigo/codigo-9-udp-test-udp-service.py | MGautier/security-sensor | 7063b1f095cfa02bb56ef2544d0395dbf155310f | [
"MIT"
] | null | null | null | def test_udp_service(self):
"""
Comprobacion de que el servicio asociado al protocolo coincide
Returns:
"""
port = Ports.objects.get(Tag="ssh")
udp = Udp.objects.get(id=port)
self.assertEqual(udp.get_service(), "ssh")
| 24.7 | 66 | 0.659919 | def test_udp_service(self):
"""
Comprobacion de que el servicio asociado al protocolo coincide
Returns:
"""
port = Ports.objects.get(Tag="ssh")
udp = Udp.objects.get(id=port)
self.assertEqual(udp.get_service(), "ssh")
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a09067ad5915db40b4b2a5d1c389d3725f15428d | 1,098 | py | Python | circle/migrations/0012_auto_20210711_1700.py | Acids-Bases/Marketplace | 31f42a077279d891cdb6bb86abb2b8c6e841a889 | [
"MIT"
] | null | null | null | circle/migrations/0012_auto_20210711_1700.py | Acids-Bases/Marketplace | 31f42a077279d891cdb6bb86abb2b8c6e841a889 | [
"MIT"
] | null | null | null | circle/migrations/0012_auto_20210711_1700.py | Acids-Bases/Marketplace | 31f42a077279d891cdb6bb86abb2b8c6e841a889 | [
"MIT"
] | null | null | null | # Generated by Django 3.2.5 on 2021-07-11 17:00
| 26.780488 | 114 | 0.550091 | # Generated by Django 3.2.5 on 2021-07-11 17:00
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('circle', '0011_auto_20210710_1919'),
]
operations = [
migrations.RenameField(
model_name='person',
old_name='bought'... | 0 | 0 | 0 | 984 | 0 | 0 | 0 | 19 | 46 |
c9940d05cba3b2a1d6d655e706a17f448480cd57 | 699 | py | Python | sandbox/sand/OpenEIT/reconstruction/__init__.py | marionleborgne/EIT_Dashboard | 057e05d20325fa6a9b9b0183f63a73c8b7e6cd3b | [
"Apache-2.0"
] | null | null | null | sandbox/sand/OpenEIT/reconstruction/__init__.py | marionleborgne/EIT_Dashboard | 057e05d20325fa6a9b9b0183f63a73c8b7e6cd3b | [
"Apache-2.0"
] | null | null | null | sandbox/sand/OpenEIT/reconstruction/__init__.py | marionleborgne/EIT_Dashboard | 057e05d20325fa6a9b9b0183f63a73c8b7e6cd3b | [
"Apache-2.0"
] | null | null | null | """
Reconstruction of image data from raw data.
"""
# TODO: define reconstruction algorithm independent device
# configurations, some reconstruction algorithms may choose to ignore
# some of that information, this way the number of electrodes and
# so on can be set as a free parameter!
# TODO: define an abstract inte... | 33.285714 | 69 | 0.805436 | """
Reconstruction of image data from raw data.
"""
# TODO: define reconstruction algorithm independent device
# configurations, some reconstruction algorithms may choose to ignore
# some of that information, this way the number of electrodes and
# so on can be set as a free parameter!
# TODO: define an abstract inte... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 119 | 178 |
a2a591e4477a35cad33554c1344aea7e1b13144c | 9,603 | py | Python | lib/waveshare_epd/epd5in65f.py | khelif96/eink_clock | b8555e43f9aca8a87bc5c60c5ac0152cbc0142af | [
"MIT"
] | 1 | 2020-07-27T16:29:26.000Z | 2020-07-27T16:29:26.000Z | lib/waveshare_epd/epd5in65f.py | AurelienZMN/btcticker | 1689387a3e07f79ed089e4b306e4fab6ea84987e | [
"MIT"
] | null | null | null | lib/waveshare_epd/epd5in65f.py | AurelienZMN/btcticker | 1689387a3e07f79ed089e4b306e4fab6ea84987e | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding:utf-8 -*-
# *****************************************************************************
# * | File : epd5in65f.py
# * | Author : Waveshare team
# * | Function : Electronic paper driver
# * | Info :
# *----------------
# * | This version: V1.0
# * | Date ... | 39.846473 | 105 | 0.525981 | #!/usr/bin/python
# -*- coding:utf-8 -*-
# *****************************************************************************
# * | File : epd5in65f.py
# * | Author : Waveshare team
# * | Function : Electronic paper driver
# * | Info :
# *----------------
# * | This version: V1.0
# * | Date ... | 0 | 0 | 0 | 7,952 | 0 | 0 | 0 | -5 | 74 |
cc48e9526db7a96802a18ac728c538f030b710c5 | 396 | py | Python | app/backend/gwells/migrations/0007_create_postgis_ftw_schema_20200501_2146.py | bcgov/gwells | 7d69e65e993d37070961e06e6ce9c58a02d79363 | [
"Apache-2.0"
] | 37 | 2017-06-30T18:08:51.000Z | 2022-02-13T18:04:10.000Z | app/backend/gwells/migrations/0007_create_postgis_ftw_schema_20200501_2146.py | bcgov/gwells | 7d69e65e993d37070961e06e6ce9c58a02d79363 | [
"Apache-2.0"
] | 544 | 2017-06-21T00:29:20.000Z | 2022-02-01T21:37:38.000Z | app/backend/gwells/migrations/0007_create_postgis_ftw_schema_20200501_2146.py | bcgov/gwells | 7d69e65e993d37070961e06e6ce9c58a02d79363 | [
"Apache-2.0"
] | 59 | 2017-03-10T17:55:02.000Z | 2021-11-16T19:20:08.000Z | # Generated by Django 2.2.12 on 2020-05-01 21:46
CREATE_POSTGIS_FTW_SCHEMA = """
CREATE SCHEMA IF NOT EXISTS postgis_ftw
"""
| 18 | 58 | 0.65404 | # Generated by Django 2.2.12 on 2020-05-01 21:46
from django.db import migrations
CREATE_POSTGIS_FTW_SCHEMA = """
CREATE SCHEMA IF NOT EXISTS postgis_ftw
"""
class Migration(migrations.Migration):
dependencies = [
('gwells', '0006_related_name_set_20200302_1752'),
]
operations = [
... | 0 | 0 | 0 | 207 | 0 | 0 | 0 | 11 | 46 |
7e65173f5756323516d5991abe21b8cb45fa1957 | 9,010 | py | Python | build/lib/JediML/NeuralNetwork.py | pangjac/JediMLSuite | 7dd901b17d01d7459f7ec872dd770b5e3b0df93f | [
"MIT"
] | null | null | null | build/lib/JediML/NeuralNetwork.py | pangjac/JediMLSuite | 7dd901b17d01d7459f7ec872dd770b5e3b0df93f | [
"MIT"
] | null | null | null | build/lib/JediML/NeuralNetwork.py | pangjac/JediMLSuite | 7dd901b17d01d7459f7ec872dd770b5e3b0df93f | [
"MIT"
] | 1 | 2020-10-25T08:11:47.000Z | 2020-10-25T08:11:47.000Z | # encoding=utf8
import random
random.seed(1)
| 32.883212 | 150 | 0.625749 | # encoding=utf8
import os
import random
import numpy as np
import JediML.Utility as utility
import JediML.MLBase as ml
random.seed(1)
class NeuralNetwork(ml.Learner):
def __init__(self):
"""init"""
self.status = 'empty'
self.train_X = []
self.train_Y = []
self.W = []
... | 0 | 0 | 0 | 8,826 | 0 | 0 | 0 | 1 | 135 |
c40c8411df69a90491c38c498918a8d164de1c4a | 2,979 | py | Python | emotion_detection_facial_mask.py | cynthiachiu/facial-emotion-detection-filter | 2f2f81caeb269cbea4a5fbf377399deb15f1ae1f | [
"MIT"
] | 1 | 2021-12-18T11:08:59.000Z | 2021-12-18T11:08:59.000Z | emotion_detection_facial_mask.py | cynthiachiu/facial-emotion-detection-filter | 2f2f81caeb269cbea4a5fbf377399deb15f1ae1f | [
"MIT"
] | null | null | null | emotion_detection_facial_mask.py | cynthiachiu/facial-emotion-detection-filter | 2f2f81caeb269cbea4a5fbf377399deb15f1ae1f | [
"MIT"
] | 1 | 2021-12-18T11:09:01.000Z | 2021-12-18T11:09:01.000Z |
if __name__ == '__main__':
main()
| 31.691489 | 111 | 0.684122 | import cv2
import numpy as np
from fer import FER
def apply_mask(face: np.array, mask: np.array) -> np.array:
mask_h, mask_w, _ = mask.shape
face_h, face_w, _ = face.shape
# Resize the mask to fit on face
factor = min(face_h / mask_h, face_w / mask_w)
new_mask_w = int(factor * mask_w)
new_mask_h = int(factor * m... | 0 | 0 | 0 | 0 | 0 | 2,847 | 0 | -16 | 112 |
86cdb88a17c8a80d189d809536aba06639c18fdb | 2,871 | py | Python | LYOCR/lyocr.py | lstoryzx/LYOCR | adf1239be3bebb4cbccac8034577ef03b89d4d76 | [
"MIT"
] | 2 | 2021-03-12T06:50:53.000Z | 2021-03-16T05:29:31.000Z | LYOCR/lyocr.py | lstoryzx/LYOCR | adf1239be3bebb4cbccac8034577ef03b89d4d76 | [
"MIT"
] | 1 | 2021-03-12T08:09:05.000Z | 2021-03-16T05:33:35.000Z | LYOCR/lyocr.py | lstoryzx/LYOCR | adf1239be3bebb4cbccac8034577ef03b89d4d76 | [
"MIT"
] | 1 | 2021-09-25T07:20:38.000Z | 2021-09-25T07:20:38.000Z | # -*- coding:utf8 -*-
import json
import tkinter as tk
from tkinter import ttk
from tkinter.constants import BOTH, LEFT, NW, RIGHT, X
import apikeysetting as aks
import frame_one
import frame_two
import frame_three
import frame_qr
import os
#
aks.initializejson()
#
if not ('Tables') in os.listdir():
os.mkdir("./Tab... | 29.90625 | 207 | 0.724486 | # -*- coding:utf8 -*-
import json
import tkinter as tk
from tkinter import Toplevel, ttk
from tkinter.constants import BOTH, CENTER, E, LEFT, NE, NW, RIGHT, W, X, Y
import apikeysetting as aks
import frame_one
import frame_two
import frame_three
import frame_qr
import os
#初始化配置文件
aks.initializejson()
#用于存放表格的文件夹
if no... | 282 | 0 | 0 | 0 | 0 | 171 | 0 | 32 | 23 |
c50d1d33771945cea99ccc9283c0b89cc97eb766 | 13,146 | py | Python | src/database.py | Tehnix/PyIRCb | cf8382dd394547f7fbd14871e83d5bc503ebf497 | [
"BSD-3-Clause"
] | 1 | 2018-09-21T18:46:31.000Z | 2018-09-21T18:46:31.000Z | src/database.py | Tehnix/PyIRCb | cf8382dd394547f7fbd14871e83d5bc503ebf497 | [
"BSD-3-Clause"
] | null | null | null | src/database.py | Tehnix/PyIRCb | cf8382dd394547f7fbd14871e83d5bc503ebf497 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Database abstraction layer. Simplyfies database
handling a bit.
An example of common usecase could be as such:
# Import the module
from databaselayer import database
# Create the database
myDB = database.Database('SQLite', 'database.sql')
# Create a table
myDB.execut... | 34.413613 | 78 | 0.511258 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Database abstraction layer. Simplyfies database
handling a bit.
An example of common usecase could be as such:
# Import the module
from databaselayer import database
# Create the database
myDB = database.Database('SQLite', 'database.sql')
# Create a table
myDB.execut... | 0 | 0 | 0 | 12,105 | 0 | 0 | 0 | 6 | 102 |
2ed7bf0957a4c41020c7fa41452691b516bdf28c | 1,592 | py | Python | server/walt/server/threads/main/images/spec.py | drakkar-lig/walt-python-packages | b778992e241d54b684f54715d83c4aff98a01db7 | [
"BSD-3-Clause"
] | 4 | 2020-01-14T09:12:56.000Z | 2022-03-14T14:35:11.000Z | server/walt/server/threads/main/images/spec.py | drakkar-lig/walt-python-packages | b778992e241d54b684f54715d83c4aff98a01db7 | [
"BSD-3-Clause"
] | 73 | 2016-04-29T13:17:26.000Z | 2022-03-01T15:06:48.000Z | server/walt/server/threads/main/images/spec.py | drakkar-lig/walt-python-packages | b778992e241d54b684f54715d83c4aff98a01db7 | [
"BSD-3-Clause"
] | 3 | 2019-03-18T14:27:56.000Z | 2021-06-03T12:07:02.000Z |
IMAGE_SPEC_PATH = '/etc/walt/image.spec'
| 39.8 | 70 | 0.726759 | import os, shutil, shlex
from walt.common.tools import read_json
from walt.server.threads.main.network.tools import get_server_ip
from walt.server.tools import update_template
from walt.server.spec import get_server_features, SERVER_SPEC_PATH
from walt.common.tools import failsafe_makedirs
from plumbum.cmd import chroo... | 0 | 0 | 0 | 0 | 0 | 1,113 | 0 | 168 | 269 |
fa104be5c843bc2576ec80c9f697fc2b20fa9679 | 21,607 | py | Python | ephys/mini_analyses/minis_methods.py | pbmanis/ephys | 1360adfbb800b1fed7f982c638906aa0d41a017c | [
"MIT"
] | null | null | null | ephys/mini_analyses/minis_methods.py | pbmanis/ephys | 1360adfbb800b1fed7f982c638906aa0d41a017c | [
"MIT"
] | null | null | null | ephys/mini_analyses/minis_methods.py | pbmanis/ephys | 1360adfbb800b1fed7f982c638906aa0d41a017c | [
"MIT"
] | null | null | null | from __future__ import print_function
"""
Classes for methods that do analysis of miniature synaptic potentials
Current implementations are ClementsBekkers, AndradeJonas and zero=crossing
Test run timing:
cb: 0.175 s (with cython version of algorithm); misses overlapping events
aj: 0.028 s, plus gets overlapping eve... | 36.622034 | 113 | 0.575184 | from __future__ import print_function
"""
Classes for methods that do analysis of miniature synaptic potentials
Current implementations are ClementsBekkers, AndradeJonas and zero=crossing
Test run timing:
cb: 0.175 s (with cython version of algorithm); misses overlapping events
aj: 0.028 s, plus gets overlapping eve... | 0 | 1,527 | 0 | 18,894 | 0 | 0 | 0 | 128 | 490 |
de035c48204332a58276136ea0d67307e90b7f05 | 4,120 | py | Python | test/Celestial_Mechanics/Python/J2_exercise.py | andreasemeraro/MPM_Space_Sciences | b9171f8b926f6ab355c4d87b6f715944b29b05ec | [
"MIT"
] | null | null | null | test/Celestial_Mechanics/Python/J2_exercise.py | andreasemeraro/MPM_Space_Sciences | b9171f8b926f6ab355c4d87b6f715944b29b05ec | [
"MIT"
] | null | null | null | test/Celestial_Mechanics/Python/J2_exercise.py | andreasemeraro/MPM_Space_Sciences | b9171f8b926f6ab355c4d87b6f715944b29b05ec | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from Orbit import Orbit
###############################################################
# Begin problem
###############################################################
# initial conditions
a = 7571
incl = 87.9
RA = 180
e = 0.01
w = 180
TA = 0
# parameters
mu = 39860... | 26.075949 | 85 | 0.628883 | from scipy.integrate import solve_ivp
import numpy as np
import matplotlib.pyplot as plt
from Orbit import Orbit
from Orbit_solver import *
###############################################################
# Begin problem
###############################################################
def dyn_kep(t, kep, *args):
r... | 0 | 0 | 0 | 0 | 0 | 114 | 0 | 21 | 91 |
9210d64bcd103b78bf446129935a67187528bed5 | 6,389 | py | Python | model/dataset.py | filippak/rc-answer-generation | a32c1a8eb4036dbeacfcfa7db16fb3958d76bbf1 | [
"MIT"
] | null | null | null | model/dataset.py | filippak/rc-answer-generation | a32c1a8eb4036dbeacfcfa7db16fb3958d76bbf1 | [
"MIT"
] | null | null | null | model/dataset.py | filippak/rc-answer-generation | a32c1a8eb4036dbeacfcfa7db16fb3958d76bbf1 | [
"MIT"
] | null | null | null | # file to load the data, tokenize and update labels accordingly
import numpy as np
import argparse
import random
# https://huggingface.co/transformers/v3.2.0/custom_datasets.html
# https://huggingface.co/docs/transformers/custom_datasets
SPECIAL_TOKEN_LABEL = -100
# max lengths creating C,A -> R data encoding
MAX_TOK... | 42.311258 | 146 | 0.70997 | # file to load the data, tokenize and update labels accordingly
import pandas as pd
import matplotlib.pyplot as plt
import numpy as np
from transformers import AutoModel, AutoTokenizer, DataCollatorForTokenClassification, AutoModelForTokenClassification, TrainingArguments, Trainer
import pickle
import argparse
import r... | 0 | 0 | 0 | 0 | 0 | 4,671 | 0 | 115 | 248 |
75a19e65172b12acda24789bb42354b02c83167f | 1,645 | py | Python | config_test/config_plane.py | saustinp/3D-CG | 8d3e161674273649af1f23b2a0e1d5100971477a | [
"MIT"
] | null | null | null | config_test/config_plane.py | saustinp/3D-CG | 8d3e161674273649af1f23b2a0e1d5100971477a | [
"MIT"
] | null | null | null | config_test/config_plane.py | saustinp/3D-CG | 8d3e161674273649af1f23b2a0e1d5100971477a | [
"MIT"
] | null | null | null | ########## TOP LEVEL SIM SETUP ##########
meshfile: 'mesh/' + 'boeing_plane_final' # No file extension!
stepfile: 'mesh/boeing_plane_no_landing_gear.STEP'
case_select: 'Ex'
# umin: None # Fill these in with the max and min values of the potential when computing the external E field solutions
# umax: None
pord... | 35.76087 | 135 | 0.680243 | ########## TOP LEVEL SIM SETUP ##########
meshfile: 'mesh/' + 'boeing_plane_final' # No file extension!
stepfile: 'mesh/boeing_plane_no_landing_gear.STEP'
case_select: 'Ex'
# umin: None # Fill these in with the max and min values of the potential when computing the external E field solutions
# umax: None
pord... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cf4087f01241a931acf9b033df0f16db262c328f | 536 | py | Python | python/classvsinstancevars/example2.py | imjoseangel/100DaysOfCode | bff90569033e2b02a56e893bd45727125962aeb3 | [
"MIT"
] | 1 | 2022-03-30T12:59:44.000Z | 2022-03-30T12:59:44.000Z | python/classvsinstancevars/example2.py | imjoseangel/100DaysOfCode | bff90569033e2b02a56e893bd45727125962aeb3 | [
"MIT"
] | null | null | null | python/classvsinstancevars/example2.py | imjoseangel/100DaysOfCode | bff90569033e2b02a56e893bd45727125962aeb3 | [
"MIT"
] | 3 | 2019-08-13T11:33:36.000Z | 2022-03-08T22:00:09.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import (division, absolute_import, print_function,
unicode_literals, annotations)
if __name__ == '__main__':
main()
| 21.44 | 66 | 0.684701 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import (division, absolute_import, print_function,
unicode_literals, annotations)
class CountedObject:
num_instances = 0
def __init__(self):
self.__class__.num_instances += 1
def main():
print(CountedObject.n... | 0 | 0 | 0 | 88 | 0 | 191 | 0 | 0 | 46 |
b37bfe85ef4538bd6dfe26ec029a452099b58f16 | 5,508 | py | Python | controller/modules/NetworkOperations.py | rajath-a-g/ipop-test | 8458bf7c88ad0a9386c2c21660ff4cd6f4b97107 | [
"MIT"
] | 13 | 2017-05-04T06:54:21.000Z | 2020-05-19T09:11:08.000Z | controller/modules/NetworkOperations.py | rajath-a-g/ipop-test | 8458bf7c88ad0a9386c2c21660ff4cd6f4b97107 | [
"MIT"
] | 24 | 2015-01-29T00:32:38.000Z | 2017-03-22T19:20:46.000Z | controller/modules/NetworkOperations.py | rajath-a-g/ipop-test | 8458bf7c88ad0a9386c2c21660ff4cd6f4b97107 | [
"MIT"
] | 39 | 2015-03-10T21:08:41.000Z | 2016-08-17T00:35:50.000Z | # ipop-project
# Copyright 2016, University of Florida
#
# 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, m... | 47.076923 | 100 | 0.605846 | # ipop-project
# Copyright 2016, University of Florida
#
# 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, m... | 0 | 0 | 0 | 4,223 | 0 | 0 | 0 | 25 | 91 |
a5b4514a8643b5973e30c4007635811bc47b9c94 | 688 | py | Python | crowdsourcing/permissions/project.py | ramcn/demo2 | e5115d2354c2890ba004abedfe0d60c1bf602d5d | [
"MIT"
] | null | null | null | crowdsourcing/permissions/project.py | ramcn/demo2 | e5115d2354c2890ba004abedfe0d60c1bf602d5d | [
"MIT"
] | null | null | null | crowdsourcing/permissions/project.py | ramcn/demo2 | e5115d2354c2890ba004abedfe0d60c1bf602d5d | [
"MIT"
] | null | null | null | __author__ = 'dmorina'
| 31.272727 | 62 | 0.697674 | __author__ = 'dmorina'
from rest_framework import permissions
class IsOwnerOrReadOnly(permissions.BasePermission):
def has_object_permission(self, request, view, obj):
# Read permissions are allowed to any request,
# so we'll always allow GET, HEAD or OPTIONS requests.
if request.method i... | 0 | 0 | 0 | 578 | 0 | 0 | 0 | 17 | 68 |
5de0211fe4e343302b013e46b94dff10f461f31e | 13,739 | py | Python | languages/en-gb.py | waidyanatha/deprecated.sambro-eden | 62e180703a2f16d5f8fcd532335d8287b76a8175 | [
"MIT"
] | 1 | 2016-12-22T09:31:22.000Z | 2016-12-22T09:31:22.000Z | languages/en-gb.py | waidyanatha/deprecated.sambro-eden | 62e180703a2f16d5f8fcd532335d8287b76a8175 | [
"MIT"
] | null | null | null | languages/en-gb.py | waidyanatha/deprecated.sambro-eden | 62e180703a2f16d5f8fcd532335d8287b76a8175 | [
"MIT"
] | null | null | null | # coding: utf8
{
'Ability to customize the list of details tracked at a Shelter': 'Ability to customise the list of details tracked at a Shelter',
'Ability to customize the list of human resource tracked at a Shelter': 'Ability to customise the list of human resource tracked at a Shelter',
'Ability to customize the lis... | 70.096939 | 381 | 0.788704 | # coding: utf8
{
'Ability to customize the list of details tracked at a Shelter': 'Ability to customise the list of details tracked at a Shelter',
'Ability to customize the list of human resource tracked at a Shelter': 'Ability to customise the list of human resource tracked at a Shelter',
'Ability to customize the lis... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c5e44e01a9a2fd25e050c605942c681b3bdaf9db | 4,487 | py | Python | news.py | davidaik/udacity-logs-analysis | ece78c3548dffc2cdbc61b78a6890c53c320aad1 | [
"Unlicense"
] | null | null | null | news.py | davidaik/udacity-logs-analysis | ece78c3548dffc2cdbc61b78a6890c53c320aad1 | [
"Unlicense"
] | null | null | null | news.py | davidaik/udacity-logs-analysis | ece78c3548dffc2cdbc61b78a6890c53c320aad1 | [
"Unlicense"
] | null | null | null | #!/usr/bin/env python3
import argparse
import calendar
DBNAME = "news"
# Parse command line arguments
parser = argparse.ArgumentParser(
description='Get information from news database'
)
parser.add_argument(
"querytype",
choices=[
... | 33.736842 | 79 | 0.486962 | #!/usr/bin/env python3
import argparse
import psycopg2
import calendar
DBNAME = "news"
def get_top_articles(num_articles):
limit = ''
if(int(num_articles) > 0):
limit = ' limit ' + str(num_articles)
db = psycopg2.connect(database=DBNAME)
c = db.cursor()
c.execute('''select articles.title,... | 0 | 0 | 0 | 0 | 0 | 2,877 | 0 | -6 | 91 |
7f49a82555fe28c75a4352d3232a8e0d4d25231a | 7,167 | py | Python | tensorflow/examples/saved_model/integration_tests/export_text_rnn_model.py | uve/tensorflow | e08079463bf43e5963acc41da1f57e95603f8080 | [
"Apache-2.0"
] | null | null | null | tensorflow/examples/saved_model/integration_tests/export_text_rnn_model.py | uve/tensorflow | e08079463bf43e5963acc41da1f57e95603f8080 | [
"Apache-2.0"
] | null | null | null | tensorflow/examples/saved_model/integration_tests/export_text_rnn_model.py | uve/tensorflow | e08079463bf43e5963acc41da1f57e95603f8080 | [
"Apache-2.0"
] | null | null | null | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | 36.943299 | 81 | 0.680061 | # Copyright 2019 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by... | 0 | 3,304 | 0 | 2,060 | 0 | 652 | 0 | 12 | 74 |
40f47c341c2777f0b294bc88792a18484109cc1b | 1,908 | py | Python | ultimate_data_challenge/ultimate_model.py | taswani/ultimate_data_challenge | 0ef40251a954ba42155a10b109ecb0df33ff894f | [
"MIT"
] | null | null | null | ultimate_data_challenge/ultimate_model.py | taswani/ultimate_data_challenge | 0ef40251a954ba42155a10b109ecb0df33ff894f | [
"MIT"
] | null | null | null | ultimate_data_challenge/ultimate_model.py | taswani/ultimate_data_challenge | 0ef40251a954ba42155a10b109ecb0df33ff894f | [
"MIT"
] | null | null | null | import numpy as np
from ultimate_data_wrangling import data_cleaning
import xgboost as xgb
from joblib import dump
from sklearn.preprocessing import MinMaxScaler
from sklearn.feature_selection import RFE
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
# Random number see... | 31.278689 | 104 | 0.759434 | import pandas as pd
import numpy as np
from ultimate_data_wrangling import data_cleaning
import xgboost as xgb
from joblib import dump
from sklearn.preprocessing import MinMaxScaler
from sklearn.feature_selection import RFE
from sklearn.model_selection import train_test_split
from sklearn.metrics import accuracy_score
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -2 | 22 |
1b24f51194aa3020c79a7bda9afe8e87e30581d4 | 2,832 | py | Python | radionets/simulations/simulate.py | Kevin2/radionets | 44e10a85a096f5cea8e9d83f96db65bdd4df9517 | [
"MIT"
] | 9 | 2021-06-17T10:12:28.000Z | 2022-03-23T23:04:19.000Z | radionets/simulations/simulate.py | radionets-project/radionets | 9b87ddbf704e78db55944e70071a7002f6213399 | [
"MIT"
] | 24 | 2021-02-12T13:57:11.000Z | 2022-03-03T08:00:31.000Z | radionets/simulations/simulate.py | Kevin2/radionets | 44e10a85a096f5cea8e9d83f96db65bdd4df9517 | [
"MIT"
] | 3 | 2020-01-08T09:01:09.000Z | 2020-10-19T18:53:13.000Z | from radionets.simulations.mnist import mnist_fft
from radionets.simulations.gaussians import simulate_gaussian_sources
from radionets.simulations.sampling import sample_frequencies
from radionets.simulations.point_sources import create_point_source_img
import click
from pathlib import Path
def create_fft_images(sim_... | 34.120482 | 85 | 0.580508 | from radionets.simulations.mnist import mnist_fft
from radionets.simulations.gaussians import simulate_gaussian_sources
from radionets.simulations.sampling import sample_frequencies
from radionets.simulations.point_sources import create_point_source_img
import click
from pathlib import Path
def create_fft_images(sim_... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
bd0bc384f4f68396a1708bb6365ab433e58aa09c | 150 | py | Python | tests/fixtures/packages/loader/load2/jsub_ext3/backend/dirac.py | xianghuzhao/jsub | fda16e9a0983410d33e454d9f1c4a94134e49d41 | [
"MIT"
] | 2 | 2017-05-26T07:17:34.000Z | 2019-04-08T05:53:35.000Z | tests/fixtures/packages/loader/load2/jsub_ext3/backend/dirac.py | xianghuzhao/jsub | fda16e9a0983410d33e454d9f1c4a94134e49d41 | [
"MIT"
] | null | null | null | tests/fixtures/packages/loader/load2/jsub_ext3/backend/dirac.py | xianghuzhao/jsub | fda16e9a0983410d33e454d9f1c4a94134e49d41 | [
"MIT"
] | 1 | 2019-04-08T06:52:46.000Z | 2019-04-08T06:52:46.000Z |
i_am_a_variable = 9
| 16.666667 | 58 | 0.68 | class Dirac:
def __init__(self):
self.desc = 'load2: jsub_ext3.backend.dirac.Dirac'
def i_am_a_function():
pass
i_am_a_variable = 9
| 0 | 0 | 0 | 74 | 0 | 10 | 0 | 0 | 45 |
d00ae707c1d540575980b384b2aa07c657962286 | 417 | py | Python | wapy-lib/pythons/fixes/machine.py | pmp-p/wapy-pack | dff596e126272ad9684f92a9bc5318b7e53b350f | [
"MIT"
] | null | null | null | wapy-lib/pythons/fixes/machine.py | pmp-p/wapy-pack | dff596e126272ad9684f92a9bc5318b7e53b350f | [
"MIT"
] | null | null | null | wapy-lib/pythons/fixes/machine.py | pmp-p/wapy-pack | dff596e126272ad9684f92a9bc5318b7e53b350f | [
"MIT"
] | null | null | null | #
# Several devices for PC are being considered or implemented.
# ==========================================================
# // port
# https://forum.micropython.org/viewtopic.php?f=2&t=3053
# I2C, https://github.com/pmp-p/I2C-Tiny-USB
# arduino + TinyPacks
# aruduino sim https://github.com/netpipe/IrrlichtDemos/... | 26.0625 | 83 | 0.623501 | #
# Several devices for PC are being considered or implemented.
# ==========================================================
# // port
# https://forum.micropython.org/viewtopic.php?f=2&t=3053
# I2C, https://github.com/pmp-p/I2C-Tiny-USB
# arduino + TinyPacks
# aruduino sim https://github.com/netpipe/IrrlichtDemos/... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
aa9aee350b7fad6dcb5ff3f9a15a74633c424fdf | 2,604 | py | Python | planesnet/model.py | k3170makan/PyMLProjects | 0676bb89119d509c9c44d7af8820aa8d620d0e4a | [
"MIT"
] | 156 | 2017-07-26T17:33:24.000Z | 2021-11-17T16:52:20.000Z | planesnet/model.py | k3170makan/PyMLProjects | 0676bb89119d509c9c44d7af8820aa8d620d0e4a | [
"MIT"
] | 1 | 2017-09-01T01:34:35.000Z | 2017-09-01T01:34:35.000Z | planesnet/model.py | k3170makan/PyMLProjects | 0676bb89119d509c9c44d7af8820aa8d620d0e4a | [
"MIT"
] | 29 | 2017-07-30T13:39:45.000Z | 2021-06-01T06:17:51.000Z | #!/usr/bin/python
PATIENCE = 10
LOG_DIR_ROOT = "."
N_LAYERS = 4
MIN_NEURONS = 20
MAX_NEURONS = 120
KERNEL = (3,3)
EPOCHS = 150
BATCH_SIZE = 200
| 26.845361 | 111 | 0.670891 | #!/usr/bin/python
from keras.layers import Activation,Dropout,Flatten,Dense,Conv2D,MaxPooling2D
from keras.callbacks import EarlyStopping, TensorBoard, ModelCheckpoint
from keras.models import Sequential
from datetime import datetime
import numpy as np
PATIENCE = 10
LOG_DIR_ROOT = "."
N_LAYERS = 4
MIN_NEURONS = 20
MAX... | 0 | 0 | 0 | 2,200 | 0 | 0 | 0 | 125 | 133 |
c22de961e04a7081ca2ef474a705107ec9a59ed5 | 307 | py | Python | apps/book/signals.py | Yensan/Schurz | d0d11e437a07574d75943b26173baf3251df15e8 | [
"BSD-3-Clause"
] | 4 | 2019-08-06T13:42:59.000Z | 2019-08-11T15:20:43.000Z | apps/book/signals.py | Yensan/Schurz | d0d11e437a07574d75943b26173baf3251df15e8 | [
"BSD-3-Clause"
] | null | null | null | apps/book/signals.py | Yensan/Schurz | d0d11e437a07574d75943b26173baf3251df15e8 | [
"BSD-3-Clause"
] | 1 | 2019-08-06T13:58:05.000Z | 2019-08-06T13:58:05.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
| 23.615385 | 51 | 0.65798 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
from django.dispatch import receiver
from django.db.models.signals import post_save
from .models import Book
@receiver(post_save, sender=Book)
def add_book(sender, instance, **kwargs):
print('############ Add a book ##############')
print(instance)
| 0 | 126 | 0 | 0 | 0 | 0 | 0 | 43 | 88 |
699967cd1860d85b455ec42f9893e50ee88becf1 | 534 | py | Python | students/k3342/laboratory_works/Zangieva Veronika/lab_1/mysite/mysite/apps/tours/migrations/0002_auto_20200610_1712.py | TonikX/ITMO_ICT_-WebProgramming_2020 | ba566c1b3ab04585665c69860b713741906935a0 | [
"MIT"
] | 10 | 2020-03-20T09:06:12.000Z | 2021-07-27T13:06:02.000Z | students/k3342/laboratory_works/Zangieva Veronika/lab_1/mysite/mysite/apps/tours/migrations/0002_auto_20200610_1712.py | TonikX/ITMO_ICT_-WebProgramming_2020 | ba566c1b3ab04585665c69860b713741906935a0 | [
"MIT"
] | 134 | 2020-03-23T09:47:48.000Z | 2022-03-12T01:05:19.000Z | students/k3342/laboratory_works/Zangieva Veronika/lab_1/mysite/mysite/apps/tours/migrations/0002_auto_20200610_1712.py | TonikX/ITMO_ICT_-WebProgramming_2020 | ba566c1b3ab04585665c69860b713741906935a0 | [
"MIT"
] | 71 | 2020-03-20T12:45:56.000Z | 2021-10-31T19:22:25.000Z | # Generated by Django 3.0.4 on 2020-06-10 14:12
| 22.25 | 70 | 0.565543 | # Generated by Django 3.0.4 on 2020-06-10 14:12
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tours', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='tour',
name='time_of_tour',
),... | 0 | 0 | 0 | 420 | 0 | 0 | 0 | 19 | 46 |
acbcebe20fa042399ed05567f53146654c7b2e6d | 343 | py | Python | dashboard/admin.py | ALKEMIA-CHARLES/gallery-app | a2fb5a340ee10c371c06fb23f1053573f5a82151 | [
"Unlicense"
] | null | null | null | dashboard/admin.py | ALKEMIA-CHARLES/gallery-app | a2fb5a340ee10c371c06fb23f1053573f5a82151 | [
"Unlicense"
] | 8 | 2020-06-05T20:27:57.000Z | 2021-09-22T18:23:23.000Z | dashboard/admin.py | ALKEMIA-CHARLES/gallery-app | a2fb5a340ee10c371c06fb23f1053573f5a82151 | [
"Unlicense"
] | null | null | null | from django.contrib import admin
from .models import Images, Location, Category
# Register your models here.
admin.site.register(Location)
admin.site.register(Images,admin_class=ImageAdmin)
admin.site.register(Category) | 31.181818 | 50 | 0.790087 | from django.contrib import admin
from .models import Images, Location, Category
class ImageAdmin(admin.ModelAdmin):
filter_horizontal =('categories',)
list_display = ('image_url','admin_image')
# Register your models here.
admin.site.register(Location)
admin.site.register(Images,admin_class=ImageAdmin)
admin.... | 0 | 0 | 0 | 100 | 0 | 0 | 0 | 0 | 23 |
295d6d27653f3cebb2a322b74f56d34fd300d16b | 2,018 | py | Python | diversos/identifica_objetos_gray.py | AndreRamos7/aprendendo_openCV | abcc8d2738feb5afcd25920004cb50009f4f5362 | [
"BSD-3-Clause"
] | 2 | 2020-05-11T15:42:44.000Z | 2020-05-21T23:14:56.000Z | diversos/identifica_objetos_gray.py | AndreRamos7/aprendendo_openCV | abcc8d2738feb5afcd25920004cb50009f4f5362 | [
"BSD-3-Clause"
] | 1 | 2020-05-10T23:20:22.000Z | 2020-05-10T23:20:22.000Z | diversos/identifica_objetos_gray.py | AndreRamos7/aprendendo_openCV | abcc8d2738feb5afcd25920004cb50009f4f5362 | [
"BSD-3-Clause"
] | null | null | null | '''
identifica_objetos_ em escala de cinza
identifica oobetos brancos em fundo preto e desenha um crculo ao redor
'''
import cv2 as cv
video_cap = cv.VideoCapture(0)
video_cap.set(3, 360)
video_cap.set(4, 640)
video_fps = int(video_cap.get(cv.CAP_PROP_FPS))
cv.namedWindow("Reguladores")
cv.resizeWindow("Reguladores",... | 32.548387 | 105 | 0.683845 | '''
identifica_objetos_ em escala de cinza
identifica oobetos brancos em fundo preto e desenha um círculo ao redor
'''
import cv2 as cv
import numpy as np
video_cap = cv.VideoCapture(0)
video_cap.set(3, 360)
video_cap.set(4, 640)
video_fps = int(video_cap.get(cv.CAP_PROP_FPS))
def nothing(x):
pass
cv.namedWindow... | 2 | 0 | 0 | 0 | 0 | 3 | 0 | -3 | 45 |
48168fd8f68fb4421548aea00f993d2fc7e61b68 | 12,244 | py | Python | home/website/migrations/0002_auto_20160903_1043.py | HackSoftware/hackconf.bg | ab3cc9fcdccf8991098553e0374103e3a241ce50 | [
"MIT"
] | 12 | 2017-03-29T11:55:20.000Z | 2022-03-29T20:03:41.000Z | home/website/migrations/0002_auto_20160903_1043.py | HackSoftware/hackconf-wagtail | ab3cc9fcdccf8991098553e0374103e3a241ce50 | [
"MIT"
] | 8 | 2020-06-05T18:16:24.000Z | 2021-09-07T23:53:11.000Z | home/website/migrations/0002_auto_20160903_1043.py | HackSoftware/hackconf.bg | ab3cc9fcdccf8991098553e0374103e3a241ce50 | [
"MIT"
] | 2 | 2018-03-31T15:06:55.000Z | 2019-06-25T16:22:08.000Z | # -*- coding: utf-8 -*-
# Generated by Django 1.9.9 on 2016-09-03 10:43
from __future__ import unicode_literals
| 34.784091 | 151 | 0.552597 | # -*- coding: utf-8 -*-
# Generated by Django 1.9.9 on 2016-09-03 10:43
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
import modelcluster.fields
import wagtail.wagtailcore.fields
class Migration(migrations.Migration):
dependencies = [
(... | 0 | 0 | 0 | 11,972 | 0 | 0 | 0 | 47 | 112 |
d4259df45c9f48b9b8b41085da1cb8cd82dd0f1e | 7,547 | py | Python | salt/cli/cp.py | jubrad/salt | 7960334fb726cfde45e6409da79a65535c626685 | [
"Apache-2.0"
] | 1 | 2020-01-02T09:03:21.000Z | 2020-01-02T09:03:21.000Z | salt/cli/cp.py | jubrad/salt | 7960334fb726cfde45e6409da79a65535c626685 | [
"Apache-2.0"
] | null | null | null | salt/cli/cp.py | jubrad/salt | 7960334fb726cfde45e6409da79a65535c626685 | [
"Apache-2.0"
] | 1 | 2020-01-02T09:03:24.000Z | 2020-01-02T09:03:24.000Z | # -*- coding: utf-8 -*-
'''
The cp module is used to execute the logic used by the salt-cp command
line application, salt-cp is NOT intended to broadcast large files, it is
intended to handle text files.
Salt-cp can be used to distribute configuration files
'''
# Import python libs
from __future__ import print_functio... | 33.100877 | 81 | 0.525507 | # -*- coding: utf-8 -*-
'''
The cp module is used to execute the logic used by the salt-cp command
line application, salt-cp is NOT intended to broadcast large files, it is
intended to handle text files.
Salt-cp can be used to distribute configuration files
'''
# Import python libs
from __future__ import print_functio... | 0 | 0 | 0 | 6,716 | 0 | 0 | 0 | -33 | 222 |
616c80ee820cf2c9623454969d9ea1fdb3b3f7d4 | 8,608 | py | Python | load_model_v2.py | yee715/yee_quickdraw | d3d3eb9f89832f8262e8f15eb85f856a6abcc4e2 | [
"MIT"
] | null | null | null | load_model_v2.py | yee715/yee_quickdraw | d3d3eb9f89832f8262e8f15eb85f856a6abcc4e2 | [
"MIT"
] | null | null | null | load_model_v2.py | yee715/yee_quickdraw | d3d3eb9f89832f8262e8f15eb85f856a6abcc4e2 | [
"MIT"
] | null | null | null | from keras import models
# load model
model = models.load_model('model_20_include_weight.h5')
# load model
# load class_name
class_names = []
with open('new_class_name.txt') as f:
class_names = f.read().splitlines()
# print(class_names)
# load class_name
# ##########
# line_diameter tk
if __na... | 94.593407 | 6,122 | 0.575395 | from keras import models
import cairocffi as cairo
import numpy as np
import matplotlib.pyplot as plt
# load model
model = models.load_model('model_20_include_weight.h5')
# load model
# load class_name
class_names = []
with open('new_class_name.txt') as f:
class_names = f.read().splitlines()
# print(cl... | 216 | 0 | 0 | 0 | 0 | 1,568 | 0 | 11 | 117 |
e5072a24f31a75dabf3597f4ce3d9ec1d55e945b | 778 | py | Python | grocercheck/map/migrations/0014_ad_placement.py | andy0liang/GrocerCheck | 1d056fd3fb2fa9bd098722fc715109c5f02df1fc | [
"MIT"
] | null | null | null | grocercheck/map/migrations/0014_ad_placement.py | andy0liang/GrocerCheck | 1d056fd3fb2fa9bd098722fc715109c5f02df1fc | [
"MIT"
] | null | null | null | grocercheck/map/migrations/0014_ad_placement.py | andy0liang/GrocerCheck | 1d056fd3fb2fa9bd098722fc715109c5f02df1fc | [
"MIT"
] | null | null | null | # Generated by Django 2.2.12 on 2020-06-03 21:06
| 31.12 | 114 | 0.577121 | # Generated by Django 2.2.12 on 2020-06-03 21:06
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('map', '0013_auto_20200603_1343'),
]
operations = [
migrations.CreateModel(
name='ad_placement',
fields=[
... | 0 | 0 | 0 | 663 | 0 | 0 | 0 | 19 | 46 |
e2ee022556e49e85d12c00fcc4fae3b69a14c474 | 5,940 | py | Python | basics/references.py | K9173A/PythonPlayground | d178cbe839eee3d2182881824af56f6812f248a0 | [
"MIT"
] | null | null | null | basics/references.py | K9173A/PythonPlayground | d178cbe839eee3d2182881824af56f6812f248a0 | [
"MIT"
] | 3 | 2021-03-20T10:33:57.000Z | 2021-04-17T20:45:21.000Z | basics/references.py | K9173A/PythonPlayground | d178cbe839eee3d2182881824af56f6812f248a0 | [
"MIT"
] | null | null | null | import sys
import weakref
# .
# Python. `1` , `102332`.
# `3`, `sys.getrefcount` ,
# . `3`, ,
# , . `numpy` `matplotlib`,
# - .
print(sys.getrefcount(1)) # 180
print(sys.getrefcount(2)) # 127
print(sys.getrefcount(3)) # 40
print(sys.getrefcount(4)) # 75
prin... | 36.441718 | 113 | 0.694444 | import gc
import sys
import weakref
# Выводит количество ссылок для объекта. Количество ссылок будет зависеть и от использования
# в стандартной библиотеке Python. Именно поэтому у `1` больше ссылок, чем у `102332`.
# Минимальное значение равно `3`, потому что сам `sys.getrefcount` создаёт временные ссылки,
# когда в... | 3,310 | 0 | 0 | 423 | 0 | 1,053 | 0 | -12 | 135 |
cd63e333aab70c6dbfe2ab0b07648fb89e08bac7 | 51,601 | py | Python | dsacalib/routines.py | dsa110/dsa110-calib | be83df4967c3b96d58c6277775e098ca0a585c43 | [
"BSD-2-Clause"
] | 1 | 2020-02-19T14:45:30.000Z | 2020-02-19T14:45:30.000Z | dsacalib/routines.py | dsa110/dsa110-calib | be83df4967c3b96d58c6277775e098ca0a585c43 | [
"BSD-2-Clause"
] | 2 | 2020-11-18T22:19:00.000Z | 2021-12-10T20:49:53.000Z | dsacalib/routines.py | dsa110/dsa110-calib | be83df4967c3b96d58c6277775e098ca0a585c43 | [
"BSD-2-Clause"
] | 1 | 2020-02-11T20:19:28.000Z | 2020-02-11T20:19:28.000Z | """Calibration routine for DSA-110 calibration with CASA.
Author: Dana Simard, dana.simard@astro.caltech.edu, 2020/06
"""
import shutil
import os
import glob
import numpy as np
from scipy.optimize import curve_fit
import matplotlib.pyplot as plt
from astropy.coordinates import Angle
import pandas
from casacore.tables ... | 36.492928 | 105 | 0.571268 | """Calibration routine for DSA-110 calibration with CASA.
Author: Dana Simard, dana.simard@astro.caltech.edu, 2020/06
"""
import shutil
import os
import glob
import numpy as np
from scipy.optimize import curve_fit
import matplotlib.pyplot as plt
from astropy.coordinates import Angle
import pandas
import scipy # pylint... | 0 | 0 | 0 | 0 | 0 | 5 | 0 | -9 | 77 |
e00aede92ae862348daf62c9daf66bd251f77fb0 | 18,693 | py | Python | trackpy/tests/test_static.py | stevenvanuytsel/trackpy | f7d53cb3527debe2f4fe00b841e3bd0a370eaf54 | [
"BSD-3-Clause"
] | 1 | 2020-08-18T16:49:36.000Z | 2020-08-18T16:49:36.000Z | trackpy/tests/test_static.py | stevenvanuytsel/trackpy | f7d53cb3527debe2f4fe00b841e3bd0a370eaf54 | [
"BSD-3-Clause"
] | null | null | null | trackpy/tests/test_static.py | stevenvanuytsel/trackpy | f7d53cb3527debe2f4fe00b841e3bd0a370eaf54 | [
"BSD-3-Clause"
] | null | null | null | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import numpy as np
def _points_ring3D(r_edges, dr, n):
"""Returns x, y, z array of points comprising shells extending from r to
r_dr. n determines the number of points in the ring. Rings are generated ... | 38.071283 | 80 | 0.54935 | from __future__ import (absolute_import, division, print_function,
unicode_literals)
import six
from trackpy.static import *
import pandas as pd
import numpy as np
from numpy.testing import assert_equal, assert_almost_equal, assert_array_less
from trackpy.static import cluster
from trackpy.test... | 0 | 0 | 0 | 16,704 | 0 | 631 | 0 | 90 | 317 |
368b5a3f1a56263adde45a04529a6cfdaee93b64 | 1,249 | py | Python | mrbaviirc/codebuild.py | brianvanderburg2/mrbaviirc | 6aeee9b229d3f62aace98a51d9014781bbe6cb52 | [
"Apache-2.0"
] | null | null | null | mrbaviirc/codebuild.py | brianvanderburg2/mrbaviirc | 6aeee9b229d3f62aace98a51d9014781bbe6cb52 | [
"Apache-2.0"
] | null | null | null | mrbaviirc/codebuild.py | brianvanderburg2/mrbaviirc | 6aeee9b229d3f62aace98a51d9014781bbe6cb52 | [
"Apache-2.0"
] | null | null | null | """ Provide a container for building code segments. """
__author__ = "Brian Allen Vanderburg II"
__copyright__ = "Copyright 2016"
__license__ = "Apache License 2.0"
| 27.152174 | 69 | 0.591673 | """ Provide a container for building code segments. """
__author__ = "Brian Allen Vanderburg II"
__copyright__ = "Copyright 2016"
__license__ = "Apache License 2.0"
class CodeBuilder(object):
""" A code builder class. """
INDENT = 4
def __init__(self, indent=0):
""" Initialize the bu... | 0 | 0 | 0 | 1,047 | 0 | 0 | 0 | 0 | 23 |
2d66f6a7222a344c43a994bb665a4c21051d6a8d | 3,790 | py | Python | src/stochastic_bisection.py | DFNaiff/Credible-Ball-Estimator | 66dce7d91737a683fa4e74c09849a42fa32d0c39 | [
"MIT"
] | null | null | null | src/stochastic_bisection.py | DFNaiff/Credible-Ball-Estimator | 66dce7d91737a683fa4e74c09849a42fa32d0c39 | [
"MIT"
] | null | null | null | src/stochastic_bisection.py | DFNaiff/Credible-Ball-Estimator | 66dce7d91737a683fa4e74c09849a42fa32d0c39 | [
"MIT"
] | null | null | null | import numpy as np
"""
Stochastic bisection algorithm,
as described in
"Probabilistic bisection converges almost
as quickly as stochastic approximation,
Peter I. Frazier, Shane G. Henderson, Rolf Waeber"
"""
TEST_VARIABLE = "TESTVARIABLE"
def stochastic_bisection(measure,gamma=0.9,maxiter=100,ma... | 31.848739 | 99 | 0.560158 | import numpy as np
"""
Stochastic bisection algorithm,
as described in
"Probabilistic bisection converges almost
as quickly as stochastic approximation,
Peter I. Frazier, Shane G. Henderson, Rolf Waeber"
"""
TEST_VARIABLE = "TESTVARIABLE"
def stochastic_bisection(measure,gamma=0.9,maxiter=100,ma... | 0 | 0 | 0 | 0 | 0 | 2,067 | 0 | 0 | 92 |
8606703c656b65ce33d7258a1fcccd803c432fc0 | 2,039 | py | Python | setup.py | sadrasabouri/nafas | 042c4bcf58549fa1d43136415ea231a0f48a0ae8 | [
"MIT"
] | null | null | null | setup.py | sadrasabouri/nafas | 042c4bcf58549fa1d43136415ea231a0f48a0ae8 | [
"MIT"
] | null | null | null | setup.py | sadrasabouri/nafas | 042c4bcf58549fa1d43136415ea231a0f48a0ae8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Setup module."""
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
def get_requires():
"""Read requirements.txt."""
requirements = open("requirements.txt", "r").read()
return list(filter(lambda x: x != "", requirements.split()))
def... | 31.369231 | 72 | 0.613046 | # -*- coding: utf-8 -*-
"""Setup module."""
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
def get_requires():
"""Read requirements.txt."""
requirements = open("requirements.txt", "r").read()
return list(filter(lambda x: x != "", requirements.split()))
def... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
e0fb562beef8d72edab97619037d423c6252f784 | 1,123 | py | Python | Teste de Performance/tp_v02.py | RolandJunior/adivinha_palavra | 938c2ef6c638fe2a43d60a71545f765cb5db25c6 | [
"MIT"
] | null | null | null | Teste de Performance/tp_v02.py | RolandJunior/adivinha_palavra | 938c2ef6c638fe2a43d60a71545f765cb5db25c6 | [
"MIT"
] | 7 | 2020-04-26T21:10:11.000Z | 2020-05-07T15:00:35.000Z | Teste de Performance/tp_v02.py | RolandJunior/Adivinha_Palavra | 938c2ef6c638fe2a43d60a71545f765cb5db25c6 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import time
with open('dicionario_reduzido.txt') as arquivo:
dicionario = arquivo.read().splitlines()
tp_result = open('tp_v02.txt', 'w+')
p = 0
for palavra in dicionario:
num_caracteres = len(palavra)
t1 = time.perf_counter()
dic_filtrado = [i for i in dicionari... | 26.116279 | 76 | 0.609973 | # -*- coding: utf-8 -*-
import random, time
from collections import Counter
def seleciona_letra(dic):
x = len(testadas)
return Counter(''.join(dic)).most_common(x+1)[x][0]
def testa_letra(letra):
testadas.append(letra)
if palavra.find(letra) == -1:
erradas.append(letra)
else:... | 0 | 0 | 0 | 0 | 0 | 313 | 0 | 18 | 73 |
9a00dfa3514dd81cb0aa24f2bd4df60730e4f191 | 6,865 | py | Python | runtimemngr/mqttmng.py | conix-center/arena-runtime-native | 43a12d17019e3337aa752d810563fd851bf2ea68 | [
"BSD-3-Clause"
] | null | null | null | runtimemngr/mqttmng.py | conix-center/arena-runtime-native | 43a12d17019e3337aa752d810563fd851bf2ea68 | [
"BSD-3-Clause"
] | null | null | null | runtimemngr/mqttmng.py | conix-center/arena-runtime-native | 43a12d17019e3337aa752d810563fd851bf2ea68 | [
"BSD-3-Clause"
] | null | null | null |
DEBUG=False
| 41.107784 | 266 | 0.576548 |
import paho.mqtt.client as mqtt
import threading
import json
import uuid
import time
import sys
import logging
from runtimemngr.runtime import RuntimeView
from runtimemngr.msgdefs import Action, Result, ARTSResponse
DEBUG=False
class MqttManager(mqtt.Client):
def __init__(self, settings, rt, modules):
... | 0 | 0 | 0 | 6,611 | 0 | 0 | 0 | 18 | 223 |
e389f4fc3ae331581cbf56151ac1632a2093542c | 1,159 | py | Python | ibidem/advent_of_code/y2020/dec05.py | mortenlj/advent_of_code | 738c1f3116f6a817a67183f076e1fe93680ea407 | [
"MIT"
] | null | null | null | ibidem/advent_of_code/y2020/dec05.py | mortenlj/advent_of_code | 738c1f3116f6a817a67183f076e1fe93680ea407 | [
"MIT"
] | null | null | null | ibidem/advent_of_code/y2020/dec05.py | mortenlj/advent_of_code | 738c1f3116f6a817a67183f076e1fe93680ea407 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
if __name__ == "__main__":
part1()
part2()
| 25.195652 | 92 | 0.603969 | #!/usr/bin/env python
from ibidem.advent_of_code.util import get_input_name
class BoardingPass():
def __init__(self, s):
s = s.translate(str.maketrans("FBLR", "0101"))
self.row = int(s[:7], 2)
self.column = int(s[7:], 2)
self.seat_id = self.row * 8 + self.column
def __str__(s... | 0 | 0 | 0 | 318 | 0 | 615 | 0 | 32 | 115 |
a0db33d0bad0c7645c3ca355a91be4925138678f | 966 | py | Python | orchid/urls.py | Salud-Mesoamerica-Initiative/etab-app | e1dd8f8190995b8be2c736d73e8a7a5c7c170449 | [
"MIT"
] | null | null | null | orchid/urls.py | Salud-Mesoamerica-Initiative/etab-app | e1dd8f8190995b8be2c736d73e8a7a5c7c170449 | [
"MIT"
] | null | null | null | orchid/urls.py | Salud-Mesoamerica-Initiative/etab-app | e1dd8f8190995b8be2c736d73e8a7a5c7c170449 | [
"MIT"
] | null | null | null | import forms_builder.forms.urls # add this import
import dimension.urls
from django.conf import settings
from django.conf.urls import patterns, include, url
from django.conf.urls.static import static
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns(
'',
# Examples:
# url(r'^$'... | 31.16129 | 79 | 0.6853 | import forms_builder.forms.urls # add this import
import dimension.urls
from django.conf import settings
from django.conf.urls import patterns, include, url
from django.conf.urls.static import static
from django.contrib import admin
admin.autodiscover()
urlpatterns = patterns(
'',
# Examples:
# url(r'^$'... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f2a6a9be9acb618f950d5c979b9dc61c42b79f3f | 1,528 | py | Python | strava/commands/activity_constrain.py | dparret/strava-cli | 2426ea7f3fe4580aea352476b261cec31d3f0b11 | [
"MIT"
] | null | null | null | strava/commands/activity_constrain.py | dparret/strava-cli | 2426ea7f3fe4580aea352476b261cec31d3f0b11 | [
"MIT"
] | null | null | null | strava/commands/activity_constrain.py | dparret/strava-cli | 2426ea7f3fe4580aea352476b261cec31d3f0b11 | [
"MIT"
] | null | null | null |
_ACTIVITY_COLUMNS = ('key', 'value')
| 54.571429 | 252 | 0.717932 | import click
from strava.utils import input_tuple_to_secs
from strava.commands.activity_default import get_activity_from_ids
from strava.decorators import output_option, login_required
_ACTIVITY_COLUMNS = ('key', 'value')
@click.command(name='constrain',
help='Constrain the time of the activity on bo... | 0 | 1,280 | 0 | 0 | 0 | 0 | 0 | 97 | 112 |
fbc30a0a895a37656b679e9201f9ca46f385a870 | 5,936 | py | Python | onmt/modules/optimized/dropout_add.py | Dan-hbd/NMTGMinor | 84e59ac8391ee78852d7c71afc60c3c8b8e3d44d | [
"MIT"
] | 1 | 2021-06-28T06:26:36.000Z | 2021-06-28T06:26:36.000Z | onmt/modules/optimized/dropout_add.py | Dan-hbd/NMTGMinor | 84e59ac8391ee78852d7c71afc60c3c8b8e3d44d | [
"MIT"
] | null | null | null | onmt/modules/optimized/dropout_add.py | Dan-hbd/NMTGMinor | 84e59ac8391ee78852d7c71afc60c3c8b8e3d44d | [
"MIT"
] | null | null | null | import unittest
try:
import apex.amp as amp
from apex.amp import half_function
except (ModuleNotFoundError, ImportError) as e:
amp = None
try:
from torch.cuda.amp import custom_fwd, custom_bwd
except (ModuleNotFoundError, ImportError) as e:
try:
import fused_dropout_add_cuda
except (ModuleNotFoun... | 37.333333 | 111 | 0.605795 | import torch
import unittest
import numpy as np
from time import time
try:
import apex.amp as amp
from apex.amp import half_function
except (ModuleNotFoundError, ImportError) as e:
amp = None
from .compat import half_function
try:
from torch.cuda.amp import custom_fwd, custom_bwd
except (ModuleNot... | 0 | 1,451 | 0 | 3,687 | 0 | 0 | 0 | 21 | 244 |
b4ff2684c3054a9e79ae093b37b40d0c57c14369 | 987 | py | Python | ALDS/ALDS1_9_C_using_heapq.py | yu8ikmnbgt6y/MyAOJ | 474b21a2a0c25e1c1f3d6d66d2a2ea52aecaa39b | [
"Unlicense"
] | 1 | 2020-01-08T16:33:46.000Z | 2020-01-08T16:33:46.000Z | ALDS/ALDS1_9_C_using_heapq.py | yu8ikmnbgt6y/MyAOJ | 474b21a2a0c25e1c1f3d6d66d2a2ea52aecaa39b | [
"Unlicense"
] | null | null | null | ALDS/ALDS1_9_C_using_heapq.py | yu8ikmnbgt6y/MyAOJ | 474b21a2a0c25e1c1f3d6d66d2a2ea52aecaa39b | [
"Unlicense"
] | null | null | null | import sys
sys.stdin = open("ALDS1_9_C_in4.txt", 'r')
#tmp = input()
# copy the below part and paste to the submission form.
# ---------function------------
import sys
nodes = []
outputs = [None] * 2000000
_num_outputs = 0
calc_time = True
main()
# -----------------------------
sys.stdin = sys... | 22.953488 | 59 | 0.548126 | import sys
import io
sys.stdin = open("ALDS1_9_C_in4.txt", 'r')
#tmp = input()
# copy the below part and paste to the submission form.
# ---------function------------
import sys
import heapq
nodes = []
outputs = [None] * 2000000
_num_outputs = 0
calc_time = True
if calc_time:import time
def main(... | 0 | 0 | 0 | 0 | 0 | 581 | 0 | -31 | 105 |
a83e7f2319434aec4d1a3eee2899a561ea8b6a79 | 2,899 | py | Python | models/xmm_sample_models/RandomForest_test.py | LucaZampieri/space-monkeys | 7edb56b43be2c8329caa1750ad4f07c933ded106 | [
"MIT"
] | null | null | null | models/xmm_sample_models/RandomForest_test.py | LucaZampieri/space-monkeys | 7edb56b43be2c8329caa1750ad4f07c933ded106 | [
"MIT"
] | null | null | null | models/xmm_sample_models/RandomForest_test.py | LucaZampieri/space-monkeys | 7edb56b43be2c8329caa1750ad4f07c933ded106 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import pickle
from handyTools import stats
from sklearn.ensemble import RandomForestClassifier
from sklearn.decomposition import PCA
# import load_xmm_data as xmm
with open('features.pkl', 'rb') as f:
feature_names, features, labels = pickle.load(f)
# features ... | 27.349057 | 88 | 0.691273 | import numpy as np
import matplotlib.pyplot as plt
import pickle
from handyTools import stats
from sklearn.ensemble import RandomForestClassifier
from sklearn.decomposition import PCA
# import load_xmm_data as xmm
with open('features.pkl', 'rb') as f:
feature_names, features, labels = pickle.load(f)
# features ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cf91b541c795f3e0df7dd61670f754bc19aac190 | 2,030 | py | Python | mikaponics/dashboard/serializers/dashboard_production_serializer.py | mikaponics/mikaponics-back | 98e1ff8bab7dda3492e5ff637bf5aafd111c840c | [
"BSD-3-Clause"
] | 2 | 2019-04-30T23:51:41.000Z | 2019-05-04T00:35:52.000Z | mikaponics/dashboard/serializers/dashboard_production_serializer.py | mikaponics/mikaponics-back | 98e1ff8bab7dda3492e5ff637bf5aafd111c840c | [
"BSD-3-Clause"
] | 27 | 2019-04-30T20:22:28.000Z | 2022-02-10T08:10:32.000Z | mikaponics/dashboard/serializers/dashboard_production_serializer.py | mikaponics/mikaponics-back | 98e1ff8bab7dda3492e5ff637bf5aafd111c840c | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
import logging
logger = logging.getLogger(__name__)
| 34.40678 | 108 | 0.712315 | # -*- coding: utf-8 -*-
import logging
import pytz
from datetime import datetime, timedelta
from dateutil import tz
from django.conf import settings
from django.contrib.auth.models import Group
from django.contrib.auth import authenticate
from django.db.models import Q, Prefetch, Sum
from django.utils.translation impor... | 0 | 0 | 0 | 1,236 | 0 | 0 | 0 | 361 | 354 |
0d061069bacba62f2730f462b0a7b5692edff4b8 | 148 | py | Python | snakemake_workflow_template/#####_etl/__main__.py | regulondbunam/RegulonDB-MCO-Felipe | 6e5546907399d5712a8e69f2f8320af8d30b9d7b | [
"MIT"
] | null | null | null | snakemake_workflow_template/#####_etl/__main__.py | regulondbunam/RegulonDB-MCO-Felipe | 6e5546907399d5712a8e69f2f8320af8d30b9d7b | [
"MIT"
] | null | null | null | snakemake_workflow_template/#####_etl/__main__.py | regulondbunam/RegulonDB-MCO-Felipe | 6e5546907399d5712a8e69f2f8320af8d30b9d7b | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: UTF-8 -*-
# import [library]
# from [local_library] import [local_library_var]
if __name__ == '__main__':
pass
| 18.5 | 49 | 0.655405 | #!/usr/bin/python
# -*- coding: UTF-8 -*-
# import [library]
# from [local_library] import [local_library_var]
if __name__ == '__main__':
pass
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d670ecedaef72d5bed61781a3a4ab7a1e3d041fc | 469 | py | Python | 052/euler_52.py | kdungs/euler | 8ae1618430d0adaf943c6db7ad36f01c5eb47d2a | [
"Unlicense",
"MIT"
] | null | null | null | 052/euler_52.py | kdungs/euler | 8ae1618430d0adaf943c6db7ad36f01c5eb47d2a | [
"Unlicense",
"MIT"
] | null | null | null | 052/euler_52.py | kdungs/euler | 8ae1618430d0adaf943c6db7ad36f01c5eb47d2a | [
"Unlicense",
"MIT"
] | null | null | null | #!/usr/bin/env python
i = 0
while True:
i += 1
d1 = digits(i)
d2 = digits(2 * i)
if d1 == d2:
d3 = digits(3 * i)
if d1 == d3:
d4 = digits(4 * i)
if d1 == d4:
d5 = digits(5 * i)
if d1 == d5:
d6 = digits(6 * i)
... | 21.318182 | 38 | 0.336887 | #!/usr/bin/env python
def digits(x):
return {s for s in '{}'.format(x)}
i = 0
while True:
i += 1
d1 = digits(i)
d2 = digits(2 * i)
if d1 == d2:
d3 = digits(3 * i)
if d1 == d3:
d4 = digits(4 * i)
if d1 == d4:
d5 = digits(5 * i)
... | 0 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 23 |
733ba42b99d5a965756bc225290793ba0274cb47 | 3,317 | py | Python | utils.py | bluekidds/traffic_analysis | 265f3292c50f94fc11c8555995d94b993c4fb3fb | [
"MIT"
] | null | null | null | utils.py | bluekidds/traffic_analysis | 265f3292c50f94fc11c8555995d94b993c4fb3fb | [
"MIT"
] | null | null | null | utils.py | bluekidds/traffic_analysis | 265f3292c50f94fc11c8555995d94b993c4fb3fb | [
"MIT"
] | 1 | 2020-10-16T15:21:55.000Z | 2020-10-16T15:21:55.000Z |
### Data Cleaning
| 31.590476 | 148 | 0.535122 | from fbprophet import Prophet
def create_model(config):
model = Prophet(
daily_seasonality=False,
weekly_seasonality=False,
yearly_seasonality=False,
changepoint_prior_scale=0.02,
)
model.add_seasonality(
name='daily',
period=1,
fourie... | 0 | 0 | 0 | 0 | 0 | 3,142 | 0 | 8 | 137 |
d7d2c18cf57e69a4abcc9b9fac6ce9c76ee66b7a | 1,466 | py | Python | onnxruntime/test/testdata/nnapi_internal_uint8_support.py | lchang20/onnxruntime | 97b8f6f394ae02c73ed775f456fd85639c91ced1 | [
"MIT"
] | 6,036 | 2019-05-07T06:03:57.000Z | 2022-03-31T17:59:54.000Z | onnxruntime/test/testdata/nnapi_internal_uint8_support.py | lchang20/onnxruntime | 97b8f6f394ae02c73ed775f456fd85639c91ced1 | [
"MIT"
] | 5,730 | 2019-05-06T23:04:55.000Z | 2022-03-31T23:55:56.000Z | onnxruntime/test/testdata/nnapi_internal_uint8_support.py | lchang20/onnxruntime | 97b8f6f394ae02c73ed775f456fd85639c91ced1 | [
"MIT"
] | 1,566 | 2019-05-07T01:30:07.000Z | 2022-03-31T17:06:50.000Z |
# This is to test the operators without "Qlinear" support but still support uint8 input
# These operators need to be internal to a graph/partition
# def GenerateModel(model_name):
if __name__ == "__main__":
GenerateModel('nnapi_internal_uint8_support.onnx')
| 35.756098 | 110 | 0.650068 | import onnx
from onnx import helper
from onnx import TensorProto
# This is to test the operators without "Qlinear" support but still support uint8 input
# These operators need to be internal to a graph/partition
# def GenerateModel(model_name):
def GenerateModel(model_name):
nodes = [
helper.make_node("Qu... | 0 | 0 | 0 | 0 | 0 | 1,113 | 0 | -1 | 88 |
ce2aeb9a03dfe879df77de4898b62684327fe370 | 6,030 | py | Python | run_amod.py | Sensenzhl/RCNN-NVDLA | e6b8a7ef2af061676d406d2f51dcd1ab809b5a1d | [
"Vim"
] | 5 | 2019-06-26T07:50:43.000Z | 2021-12-17T08:52:39.000Z | run_amod.py | Sensenzhl/RCNN-NVDLA | e6b8a7ef2af061676d406d2f51dcd1ab809b5a1d | [
"Vim"
] | 1 | 2019-11-28T06:57:49.000Z | 2019-11-28T06:57:49.000Z | run_amod.py | Sensenzhl/RCNN-NVDLA | e6b8a7ef2af061676d406d2f51dcd1ab809b5a1d | [
"Vim"
] | 1 | 2020-05-27T06:11:17.000Z | 2020-05-27T06:11:17.000Z | #!/home/abcd/anaconda2/bin/python2.7
_description='''
This tool is used to generate pre-loadable(SW defined prototxt format <schema/DlaInterface.proto>) from caffe prototxt (<schema/caffe.proto>)
'''
import sys
import logging
import matplotlib
matplotlib.use('Agg')
from google.protobuf import text_format as proto_text... | 33.5 | 141 | 0.589552 | #!/home/abcd/anaconda2/bin/python2.7
_description='''
This tool is used to generate pre-loadable(SW defined prototxt format <schema/DlaInterface.proto>) from caffe prototxt (<schema/caffe.proto>)
'''
import os
import inspect
import re
import sys
import argparse
import commands
import math
import logging
import copy
f... | 0 | 0 | 0 | 269 | 0 | 4,634 | 0 | -51 | 378 |
ee7d1ec37993f8499bcd4260106cdeab645b50eb | 157 | py | Python | backgroundpy/__init__.py | davidmaamoaix/BackgroundPy | f32c67e81d3440e1f1d4da395b15a86b95e88e49 | [
"MIT"
] | null | null | null | backgroundpy/__init__.py | davidmaamoaix/BackgroundPy | f32c67e81d3440e1f1d4da395b15a86b95e88e49 | [
"MIT"
] | 1 | 2018-12-18T03:43:53.000Z | 2018-12-18T03:48:24.000Z | backgroundpy/__init__.py | davidmaamoaix/BackgroundPy | f32c67e81d3440e1f1d4da395b15a86b95e88e49 | [
"MIT"
] | null | null | null | ''' A tool for generating a runnable script, which runs a python file and deletes itself after it is ran. '''
__author__ = 'David Ma'
__version__ = '1.0.0' | 31.4 | 109 | 0.713376 | ''' A tool for generating a runnable script, which runs a python file and deletes itself after it is ran. '''
__author__ = 'David Ma'
__version__ = '1.0.0' | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9415a3dad40e40153160f2e50642acf5a7a3cfc2 | 9,486 | py | Python | old/sp.py | TheRealDrDre/SyntaxPriming | e7e767d53bcf58791563ac58191bfde205676309 | [
"CECILL-B"
] | null | null | null | old/sp.py | TheRealDrDre/SyntaxPriming | e7e767d53bcf58791563ac58191bfde205676309 | [
"CECILL-B"
] | null | null | null | old/sp.py | TheRealDrDre/SyntaxPriming | e7e767d53bcf58791563ac58191bfde205676309 | [
"CECILL-B"
] | null | null | null | ## ---------------------------------------------------------------- ##
## SYNTACTIC PRIMING MODEL MANAGEMENT AND INTERFACE
## ---------------------------------------------------------------- ##
## Usage:
##
## import sp
## s = sp.Simulation(n=25)
## s.simulate()
## s.data
## ------------------------------------... | 30.899023 | 83 | 0.487139 | ## ---------------------------------------------------------------- ##
## SYNTACTIC PRIMING MODEL MANAGEMENT AND INTERFACE
## ---------------------------------------------------------------- ##
## Usage:
##
## import sp
## s = sp.Simulation(n=25)
## s.simulate()
## s.data
## ------------------------------------... | 0 | 1,350 | 0 | 6,256 | 0 | 0 | 0 | -30 | 182 |
46f9832a7a636614e0b8c5be0097ebb552ec07a6 | 4,895 | py | Python | sub3/main.py | myccpb08/AI_3rd_GongGam | 3bcdf93e9f865991bbf1a3663db20f6570eb1f95 | [
"Apache-2.0"
] | null | null | null | sub3/main.py | myccpb08/AI_3rd_GongGam | 3bcdf93e9f865991bbf1a3663db20f6570eb1f95 | [
"Apache-2.0"
] | null | null | null | sub3/main.py | myccpb08/AI_3rd_GongGam | 3bcdf93e9f865991bbf1a3663db20f6570eb1f95 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
DATA_OUT_PATH = './data_out/'
# Req. 1-5-1. bleu score
# Req. 1-5-2. rouge score
# Serving serving .
if __name__ == '__main__':
tf.compat.v1.logging.set_verbosity(tf.compat.v1.logging.INFO)
tf.compat.v1.app.run(main)
tf.logging.set_verbosity
| 38.543307 | 115 | 0.694586 | import os
import sys
import tensorflow as tf
import numpy as np
from nltk.translate.bleu_score import sentence_bleu
from nltk.translate.bleu_score import SmoothingFunction
from rouge import Rouge
import model as ml
import data
from configs import DEFINES
DATA_OUT_PATH = './data_out/'
# Req. 1-5-1. bleu score 계산 함수... | 1,578 | 0 | 0 | 0 | 0 | 3,757 | 0 | 33 | 289 |
c711197260b5b6eeedce38f54affbff2c64eceb8 | 23,804 | py | Python | plot_fargo.py | AaronDavidSchneider/Plot_FARGO | 19f8270cff7ad355c74382c7b4f085328b575c8f | [
"MIT"
] | 1 | 2020-05-23T04:47:29.000Z | 2020-05-23T04:47:29.000Z | plot_fargo.py | smao-astro/Plot_FARGO | 19f8270cff7ad355c74382c7b4f085328b575c8f | [
"MIT"
] | null | null | null | plot_fargo.py | smao-astro/Plot_FARGO | 19f8270cff7ad355c74382c7b4f085328b575c8f | [
"MIT"
] | 2 | 2020-05-23T04:45:19.000Z | 2022-01-18T17:15:40.000Z | #------------------------------------------------------------------------------------------
# PLOT_FARGO
# A PYTHON PLOTTING CLASS TO VISUALIZE THE OUTPUT OF FARGO3D
# A. D. SCHNEIDER
# 20... | 42.280639 | 260 | 0.530121 | #------------------------------------------------------------------------------------------
# PLOT_FARGO
# A PYTHON PLOTTING CLASS TO VISUALIZE THE OUTPUT OF FARGO3D
# A. D. SCHNEIDER
# 20... | 0 | 0 | 0 | 22,663 | 0 | 0 | 0 | -4 | 90 |
e3b95506cef201860d6723ef372470fecf2549e8 | 3,149 | py | Python | main.py | shizhouxing/Robustness-Verification-for-Transformers | b1758c10826b7e00ebf3f030020548809be558a1 | [
"BSD-2-Clause"
] | 22 | 2020-03-09T13:14:54.000Z | 2022-03-03T03:38:34.000Z | main.py | shizhouxing/Robustness-Verification-for-Transformers | b1758c10826b7e00ebf3f030020548809be558a1 | [
"BSD-2-Clause"
] | null | null | null | main.py | shizhouxing/Robustness-Verification-for-Transformers | b1758c10826b7e00ebf3f030020548809be558a1 | [
"BSD-2-Clause"
] | 1 | 2020-03-18T23:39:51.000Z | 2020-03-18T23:39:51.000Z | # Copyright (c) 2020, Zhouxing shi <zhouxingshichn@gmail.com>
# Licenced under the BSD 2-Clause License.
import os
if not "CUDA_VISIBLE_DEVICES" in os.environ:
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
import sys, random
from Logger import Logger
from Parser import Parser, update_arguments
from data_utils import lo... | 34.604396 | 89 | 0.663703 | # Copyright (c) 2020, Zhouxing shi <zhouxingshichn@gmail.com>
# Licenced under the BSD 2-Clause License.
import os
if not "CUDA_VISIBLE_DEVICES" in os.environ:
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
import torch
import numpy as np
import sys, random, time, shutil, copy, nltk, json
from multiprocessing import Po... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31 | 67 |
110815b447c502dbfa8665e523ae92541c84d0aa | 3,228 | py | Python | misc/learnpy/basics/f1.py | mutazag/mdsi | efecc8f650ddf6866154389f98d4ce0a9803db18 | [
"MIT"
] | null | null | null | misc/learnpy/basics/f1.py | mutazag/mdsi | efecc8f650ddf6866154389f98d4ce0a9803db18 | [
"MIT"
] | null | null | null | misc/learnpy/basics/f1.py | mutazag/mdsi | efecc8f650ddf6866154389f98d4ce0a9803db18 | [
"MIT"
] | null | null | null | x = ["p", "y", "t", "h", "o", "n"]
print(x[0:5])
import pandas as pd
marketing = pd.read_csv("https://goo.gl/6A6Qe2")
print(marketing.loc[["a", "b"], ["Views", "Clicks"]])
import numpy as np
x = np.array([1, 2, False, True, 3])
print(x)
import numpy as np
x = np.array([1, 2, False, True, "3"])
print(x)
print(t... | 14.034783 | 61 | 0.541202 | x = ["p", "y", "t", "h", "o", "n"]
print(x[0:5])
import pandas as pd
marketing = pd.read_csv("https://goo.gl/6A6Qe2")
print(marketing.loc[["a", "b"], ["Views", "Clicks"]])
import numpy as np
x = np.array([1, 2, False, True, 3])
print(x)
import numpy as np
x = np.array([1, 2, False, True, "3"])
print(x)
print(t... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |