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2d74716a061b9c90a72957614d5e209d6f7bcfd9 | 689 | py | Python | Unit_4/Data_Analysis.py | coffeelabor/CIS289_Reed_James | 6d1bc126d6b50411f2bad1d65cfeebd47b68a6ff | [
"MIT"
] | null | null | null | Unit_4/Data_Analysis.py | coffeelabor/CIS289_Reed_James | 6d1bc126d6b50411f2bad1d65cfeebd47b68a6ff | [
"MIT"
] | null | null | null | Unit_4/Data_Analysis.py | coffeelabor/CIS289_Reed_James | 6d1bc126d6b50411f2bad1d65cfeebd47b68a6ff | [
"MIT"
] | null | null | null | '''
/***************************************************************
* Name: Pandas Data Analysis
* Author: Reed James
* Created: 22 Sept 2021
* Course: CIS 289 - Python
* Version: Python 3.8.2
* OS: Windows 10
* Copyright: This is my own original work based on
* specifications issued by our instructor
* ... | 31.318182 | 76 | 0.539913 | '''
/***************************************************************
* Name: Pandas Data Analysis
* Author: Reed James
* Created: 22 Sept 2021
* Course: CIS 289 - Python
* Version: Python 3.8.2
* OS: Windows 10
* Copyright: This is my own original work based on
* specifications issued by our instructor
* ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2dc5f02dd8c7980771551c3a8f2cf90faab3d060 | 15,111 | py | Python | Dados/Events/Evento/Effect/Scroll.py | On0n0k1/2020ASSEditor | fd61595696683b440eb8a030163020100e070ed5 | [
"MIT"
] | null | null | null | Dados/Events/Evento/Effect/Scroll.py | On0n0k1/2020ASSEditor | fd61595696683b440eb8a030163020100e070ed5 | [
"MIT"
] | null | null | null | Dados/Events/Evento/Effect/Scroll.py | On0n0k1/2020ASSEditor | fd61595696683b440eb8a030163020100e070ed5 | [
"MIT"
] | null | null | null | """
Extends Effect. Contains Scroll, which is one the 3 effects employed by the event.
Copyright 2020 Lucas Alessandro do Carmo Lemos
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... | 40.296 | 121 | 0.599232 | """
Extends Effect. Contains Scroll, which is one the 3 effects employed by the event.
Copyright 2020 Lucas Alessandro do Carmo Lemos
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... | 0 | 0 | 0 | 13,419 | 0 | 0 | 0 | 3 | 50 |
5ca478338d5f22d1c242e56ababc6292ace19d3b | 362 | py | Python | ai_reader_demo/autoencoder/utils.py | bbueno5000/ai_reader_demo | 4c159d6455cd0f7a76e8277a589afe7514b9cbc4 | [
"Apache-2.0"
] | null | null | null | ai_reader_demo/autoencoder/utils.py | bbueno5000/ai_reader_demo | 4c159d6455cd0f7a76e8277a589afe7514b9cbc4 | [
"Apache-2.0"
] | null | null | null | ai_reader_demo/autoencoder/utils.py | bbueno5000/ai_reader_demo | 4c159d6455cd0f7a76e8277a589afe7514b9cbc4 | [
"Apache-2.0"
] | null | null | null | """
DOCSTRING
"""
import numpy
import tensorflow
def xavier_init(fan_in, fan_out, constant = 1):
"""
DOCSTRING
"""
low = -constant * numpy.sqrt(6.0 / (fan_in + fan_out))
high = constant * numpy.sqrt(6.0 / (fan_in + fan_out))
return tensorflow.random_uniform(
(fan_in, fan_out), minval=lo... | 24.133333 | 77 | 0.651934 | """
DOCSTRING
"""
import numpy
import tensorflow
def xavier_init(fan_in, fan_out, constant = 1):
"""
DOCSTRING
"""
low = -constant * numpy.sqrt(6.0 / (fan_in + fan_out))
high = constant * numpy.sqrt(6.0 / (fan_in + fan_out))
return tensorflow.random_uniform(
(fan_in, fan_out), minval=lo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
22026e61153287b58445150128902a1f2d928f9e | 2,488 | py | Python | server/newconnectionwhodis/tests/testCommentView.py | dylandeco/cmput404-group-project | ddbfba1b2778b9efe916d3e98cc8177ed7f0791b | [
"Apache-2.0"
] | 4 | 2021-10-20T20:50:55.000Z | 2021-12-04T03:26:56.000Z | server/newconnectionwhodis/tests/testCommentView.py | dylandeco/cmput404-group-project | ddbfba1b2778b9efe916d3e98cc8177ed7f0791b | [
"Apache-2.0"
] | 69 | 2021-10-22T01:51:14.000Z | 2021-12-09T02:57:57.000Z | server/newconnectionwhodis/tests/testCommentView.py | dylandeco/cmput404-group-project | ddbfba1b2778b9efe916d3e98cc8177ed7f0791b | [
"Apache-2.0"
] | 1 | 2022-03-13T20:45:12.000Z | 2022-03-13T20:45:12.000Z | from .. import serializers
| 36.057971 | 101 | 0.60209 | from django.test import TestCase
from rest_framework.test import APIClient
from . import util
from .. import serializers
class CommentViewTests(TestCase):
def setUp(self):
"""
Create a new post from a new author
"""
AUTHOR_NAME, AUTHOR_GITHUB, POST_CONTENT = "Muhammad", "Exanut", ... | 0 | 0 | 0 | 2,342 | 0 | 0 | 0 | 28 | 90 |
ee4500b57720947963eb5889eda0adf1bc435433 | 10,365 | py | Python | mysite/scisheets/core/helpers/cell_types.py | ScienceStacks/JViz | c8de23d90d49d4c9bc10da25f4a87d6f44aab138 | [
"Artistic-2.0",
"Apache-2.0"
] | 31 | 2016-11-16T22:34:35.000Z | 2022-03-22T22:16:11.000Z | mysite/scisheets/core/helpers/cell_types.py | ScienceStacks/JViz | c8de23d90d49d4c9bc10da25f4a87d6f44aab138 | [
"Artistic-2.0",
"Apache-2.0"
] | 6 | 2017-06-24T06:29:36.000Z | 2022-01-23T06:30:01.000Z | mysite/scisheets/core/helpers/cell_types.py | ScienceStacks/JViz | c8de23d90d49d4c9bc10da25f4a87d6f44aab138 | [
"Artistic-2.0",
"Apache-2.0"
] | 4 | 2017-07-27T16:23:50.000Z | 2022-03-12T06:36:13.000Z | '''Utilities used in core scitable code.'''
from extended_array import ExtendedArray
from CommonUtil.prune_nulls import pruneNulls
import collections
import numpy as np
import warnings
THRESHOLD = 0.000001 # Threshold for value comparisons
################### Classes ############################
# Used to define a ... | 26.922078 | 75 | 0.64602 | '''Utilities used in core scitable code.'''
from extended_array import ExtendedArray
from CommonUtil.prune_nulls import pruneNulls
import collections
import math
import numpy as np
import warnings
THRESHOLD = 0.000001 # Threshold for value comparisons
################### Classes ############################
# Used ... | 0 | 3,821 | 0 | 697 | 0 | 37 | 0 | -10 | 135 |
0016809fbb9a5b580b379426d473750d858fb887 | 888 | py | Python | templates/scale.py | diramazioni/blend-sonic | 71f8782aea9e743383324f079dd1b49b31528f44 | [
"RSA-MD"
] | 2 | 2022-01-06T14:47:22.000Z | 2022-02-02T01:55:49.000Z | templates/scale.py | diramazioni/blend-sonic | 71f8782aea9e743383324f079dd1b49b31528f44 | [
"RSA-MD"
] | null | null | null | templates/scale.py | diramazioni/blend-sonic | 71f8782aea9e743383324f079dd1b49b31528f44 | [
"RSA-MD"
] | null | null | null | {% extends "note.py" %}
{% block imports %}
{{ super() }}
from {{ menu_levels[2:] }} constant_def import scale_names
scale_items = [(k,k,'') for k in scale_names ]
{% endblock %}
{%- block classMembers %}
{{ super() }}
scaleList : EnumProperty(name="Scale", items = scale_items, default = ':major', update=prope... | 23.368421 | 108 | 0.586712 | {% extends "note.py" %}
{% block imports %}
{{ super() }}
from {{ menu_levels[2:] }} constant_def import scale_names
scale_items = [(k,k,'') for k in scale_names ]
{% endblock %}
{%- block classMembers %}
{{ super() }}
scaleList : EnumProperty(name="Scale", items = scale_items, default = ':major', update=prope... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11aa3369de078a964d9fe5cc1767b393eecbc2c0 | 1,011 | py | Python | api/migrations/0001_initial.py | City-of-Turku/munpalvelut_backend | 9baa530f2f3405322f74ccc145641148f253341b | [
"MIT"
] | null | null | null | api/migrations/0001_initial.py | City-of-Turku/munpalvelut_backend | 9baa530f2f3405322f74ccc145641148f253341b | [
"MIT"
] | null | null | null | api/migrations/0001_initial.py | City-of-Turku/munpalvelut_backend | 9baa530f2f3405322f74ccc145641148f253341b | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-03-03 13:22
from __future__ import unicode_literals
| 30.636364 | 114 | 0.579624 | # -*- coding: utf-8 -*-
# Generated by Django 1.9.2 on 2016-03-03 13:22
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='ApiKey'... | 0 | 0 | 0 | 833 | 0 | 0 | 0 | 19 | 46 |
6a5db8c16fcab6275810b911e49f796fc3a324e1 | 2,844 | py | Python | erp_app/models.py | bryanrios/Django-ERP-Apache-License | 51ae1ee15e8816e0f726850f5d143330ef1d4b42 | [
"Apache-2.0"
] | null | null | null | erp_app/models.py | bryanrios/Django-ERP-Apache-License | 51ae1ee15e8816e0f726850f5d143330ef1d4b42 | [
"Apache-2.0"
] | null | null | null | erp_app/models.py | bryanrios/Django-ERP-Apache-License | 51ae1ee15e8816e0f726850f5d143330ef1d4b42 | [
"Apache-2.0"
] | null | null | null |
# Create your models here.
| 38.958904 | 77 | 0.737342 | from django.db import models
# Create your models here.
class Customers(models.Model):
title = models.CharField(max_length=200)
first_name = models.CharField(max_length=200)
middle_name = models.CharField(max_length=200)
last_name = models.CharField(max_length=200)
suffix = models.CharField(max_l... | 0 | 0 | 0 | 2,635 | 0 | 0 | 0 | 7 | 174 |
98260fe09209a487e2122cf77b7cd06ba72652f7 | 13,712 | py | Python | astviewer/tree.py | titusjan/astviewer | 3e3954c3deeba94cf12c6749bd29e0518bfcd974 | [
"MIT"
] | 105 | 2015-02-22T09:13:09.000Z | 2021-12-20T05:09:48.000Z | astviewer/tree.py | titusjan/astviewer | 3e3954c3deeba94cf12c6749bd29e0518bfcd974 | [
"MIT"
] | 2 | 2016-10-30T12:31:39.000Z | 2017-09-05T17:09:16.000Z | astviewer/tree.py | titusjan/astviewer | 3e3954c3deeba94cf12c6749bd29e0518bfcd974 | [
"MIT"
] | 13 | 2015-03-28T13:07:34.000Z | 2021-08-03T01:30:44.000Z | """ Contains the tree widgdet
"""
from __future__ import print_function
import logging
from astviewer.qtpy import QtCore
logger = logging.getLogger(__name__)
IDX_LINE, IDX_COL = 0, 1
ROLE_POS = QtCore.Qt.UserRole
ROLE_START_POS = QtCore.Qt.UserRole
ROLE_END_POS = QtCore.Qt.UserRole + 1
# The widget inherits from ... | 39.744928 | 100 | 0.641044 | """ Contains the tree widgdet
"""
from __future__ import print_function
import ast, logging
import os.path
from astviewer.iconfactory import IconFactory
from astviewer.misc import class_name, check_class
from astviewer.qtpy import QtCore, QtGui, QtWidgets
from astviewer.toggle_column_mixin import ToggleColumnTreeWidg... | 0 | 1,785 | 0 | 9,765 | 0 | 0 | 0 | 130 | 134 |
ba9317a90817824e8fff0f9568251496292de06c | 44,174 | py | Python | venv/lib/python2.7/site-packages/jinja/parser.py | mallika2011/Recreating-VLabs-CSO-Experiment | 307849d66072b3504b9f1bf914007eaf9a03a1dc | [
"MIT"
] | 7 | 2016-05-08T22:32:57.000Z | 2019-07-16T09:54:45.000Z | venv/lib/python2.7/site-packages/jinja/parser.py | mallika2011/Recreating-VLabs-CSO-Experiment | 307849d66072b3504b9f1bf914007eaf9a03a1dc | [
"MIT"
] | null | null | null | venv/lib/python2.7/site-packages/jinja/parser.py | mallika2011/Recreating-VLabs-CSO-Experiment | 307849d66072b3504b9f1bf914007eaf9a03a1dc | [
"MIT"
] | 2 | 2017-01-22T14:43:33.000Z | 2020-11-02T14:35:19.000Z | # -*- coding: utf-8 -*-
"""
jinja.parser
~~~~~~~~~~~~
Implements the template parser.
The Jinja template parser is not a real parser but a combination of the
python compiler package and some postprocessing. The tokens yielded by
the lexer are used to separate template data and expressions. The... | 37.183502 | 81 | 0.539005 | # -*- coding: utf-8 -*-
"""
jinja.parser
~~~~~~~~~~~~
Implements the template parser.
The Jinja template parser is not a real parser but a combination of the
python compiler package and some postprocessing. The tokens yielded by
the lexer are used to separate template data and expressions. The... | 0 | 0 | 0 | 42,431 | 0 | 0 | 0 | 29 | 67 |
7ecb076b0a9bdbdbc22619e20b5da7f2efecaa80 | 21,747 | py | Python | spans/settypes.py | MichiK/spans | 1bab1c5ee9f27b698b5b1e1f849dd61641d12cfd | [
"MIT"
] | 1 | 2018-01-02T18:39:47.000Z | 2018-01-02T18:39:47.000Z | spans/settypes.py | MichiK/spans | 1bab1c5ee9f27b698b5b1e1f849dd61641d12cfd | [
"MIT"
] | null | null | null | spans/settypes.py | MichiK/spans | 1bab1c5ee9f27b698b5b1e1f849dd61641d12cfd | [
"MIT"
] | null | null | null |
# Imports needed for doctests in date range sets
__all__ = [
"intrangeset",
"floatrangeset",
"strrangeset",
"daterangeset",
"datetimerangeset",
"timedeltarangeset",
]
# Legacy names
#: This alias exist for legacy reasons. It is considered deprecated but will not
#: likely be remo... | 31.022825 | 115 | 0.585644 | from itertools import chain
from ._compat import add_metaclass, fix_timedelta_repr
from ._utils import PartialOrderingMixin
from .types import Range
from .types import *
from .types import DiscreteRange, OffsetableRangeMixin
# Imports needed for doctests in date range sets
from datetime import *
__all__ = [
"in... | 0 | 17,313 | 0 | 3,417 | 0 | 0 | 0 | 94 | 385 |
00b339c8fe21cab0883a4fbca8f802dcb584e12a | 2,767 | py | Python | ui/etc/page2.py | mizcos/SS-3 | 3d023df6f9c3915b78638044d878775677a284ab | [
"MIT"
] | 1 | 2021-09-20T11:54:57.000Z | 2021-09-20T11:54:57.000Z | ui/etc/page2.py | mizcos/SS-3 | 3d023df6f9c3915b78638044d878775677a284ab | [
"MIT"
] | null | null | null | ui/etc/page2.py | mizcos/SS-3 | 3d023df6f9c3915b78638044d878775677a284ab | [
"MIT"
] | 1 | 2021-04-13T12:16:21.000Z | 2021-04-13T12:16:21.000Z | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'page2.ui'
#
# Created by: PyQt5 UI code generator 5.15.2
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
| 45.360656 | 102 | 0.713408 | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'page2.ui'
#
# Created by: PyQt5 UI code generator 5.15.2
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, QtGui,... | 48 | 0 | 0 | 2,396 | 0 | 0 | 0 | 21 | 46 |
08453069f642cd08cf76bbd5d6e98308dedbfc19 | 1,513 | py | Python | examples/example07.py | robertsj/pypgapack | c24b4a58f347ec02c20929aaaec25010fa603eb8 | [
"MIT"
] | 4 | 2015-12-16T09:44:32.000Z | 2021-05-23T23:52:33.000Z | examples/example07.py | robertsj/pypgapack | c24b4a58f347ec02c20929aaaec25010fa603eb8 | [
"MIT"
] | null | null | null | examples/example07.py | robertsj/pypgapack | c24b4a58f347ec02c20929aaaec25010fa603eb8 | [
"MIT"
] | 1 | 2022-01-01T17:44:21.000Z | 2022-01-01T17:44:21.000Z | """
pypgapack/examples/example07.py -- maxbit with end-of-generation hill climb
"""
from pypgapack import PGA
import sys
# (Command line arguments, 1's and 0's, string length, and maximize it)
opt = MyPGA(sys.argv, PGA.DATATYPE_BINARY, 100, PGA.MAXIMIZE)
opt.SetRandomSeed(1) # Set random ... | 36.02381 | 77 | 0.573695 | """
pypgapack/examples/example07.py -- maxbit with end-of-generation hill climb
"""
from pypgapack import PGA
import sys
class MyPGA(PGA) :
"""
Derive our own class from PGA.
"""
def maxbit(self, p, pop) :
"""
Maximum when all alleles are 1's, and that maximum is n.
"""
... | 0 | 0 | 0 | 851 | 0 | 0 | 0 | 0 | 22 |
e813f611e691c058492667f535db043e5ad97375 | 2,028 | py | Python | experiment-mininet-wifi/Cls_topology.py | phoophoo187/Privacy_SDN_Edge_IoT | 3ee6e0fb36c6d86cf8caf4599a35c04b0ade9a8c | [
"MIT"
] | null | null | null | experiment-mininet-wifi/Cls_topology.py | phoophoo187/Privacy_SDN_Edge_IoT | 3ee6e0fb36c6d86cf8caf4599a35c04b0ade9a8c | [
"MIT"
] | null | null | null | experiment-mininet-wifi/Cls_topology.py | phoophoo187/Privacy_SDN_Edge_IoT | 3ee6e0fb36c6d86cf8caf4599a35c04b0ade9a8c | [
"MIT"
] | null | null | null | """
" The Topology class responed for
" - creating a network topology which specified in a JSON format file
" - adding and removing nodes and edges from a network
" - showing a current network topology
""" | 36.214286 | 101 | 0.591223 | """
" The Topology class responed for
" - creating a network topology which specified in a JSON format file
" - adding and removing nodes and edges from a network
" - showing a current network topology
"""
import networkx as nx
from networkx.readwrite import json_graph
import json
import matplotlib.pyplot as plt
c... | 0 | 0 | 0 | 1,688 | 0 | 0 | 0 | 20 | 111 |
9f6700e87fa0ea57093fb7809b358292954f90e0 | 3,958 | py | Python | options/options_train_executor.py | aluo-x/shape2prog | 1177e5205b99bb293e353688b564c94a14211c75 | [
"BSD-2-Clause"
] | 109 | 2019-01-10T03:16:21.000Z | 2022-02-10T07:39:22.000Z | options/options_train_executor.py | aluo-x/shape2prog | 1177e5205b99bb293e353688b564c94a14211c75 | [
"BSD-2-Clause"
] | 6 | 2019-06-11T13:30:08.000Z | 2020-11-19T17:42:12.000Z | options/options_train_executor.py | aluo-x/shape2prog | 1177e5205b99bb293e353688b564c94a14211c75 | [
"BSD-2-Clause"
] | 16 | 2019-01-16T08:08:18.000Z | 2021-11-11T02:52:40.000Z | from __future__ import print_function
import argparse
from programs.label_config import max_param, stop_id
def get_parser():
"""
a parser for training the program executor
"""
parser = argparse.ArgumentParser(description="arguments for training program executor")
# optimization
parser.add_ar... | 45.494253 | 113 | 0.704144 | from __future__ import print_function
import os
import argparse
import socket
import torch
from programs.label_config import max_param, stop_id
def get_parser():
"""
a parser for training the program executor
"""
parser = argparse.ArgumentParser(description="arguments for training program executor")... | 0 | 0 | 0 | 0 | 0 | 389 | 0 | -29 | 90 |
6877dcd0c8c82bb4b4b41cce88c1868d8a6f7a56 | 339 | py | Python | links/admin.py | n2o/dpb | 9e44ef91dc25782a12150e1001983aeee62bc566 | [
"MIT"
] | 3 | 2020-11-05T10:09:04.000Z | 2021-03-13T11:27:05.000Z | links/admin.py | n2o/dpb | 9e44ef91dc25782a12150e1001983aeee62bc566 | [
"MIT"
] | 31 | 2015-07-26T13:53:26.000Z | 2020-09-28T06:08:03.000Z | links/admin.py | n2o/dpb | 9e44ef91dc25782a12150e1001983aeee62bc566 | [
"MIT"
] | null | null | null | from django.contrib import admin
from .models import Link, LinkCategory
admin.site.register(Link, LinkAdmin)
admin.site.register(LinkCategory)
| 22.6 | 60 | 0.740413 | from django.contrib import admin
from .models import Link, LinkCategory
from dpb.admin import PageDownAdmin
class LinkAdmin(PageDownAdmin):
list_display = ('title', 'state', 'category', 'website')
list_filter = ('category',)
search_fields = ['title']
admin.site.register(Link, LinkAdmin)
admin.site.regi... | 0 | 0 | 0 | 133 | 0 | 0 | 0 | 14 | 46 |
cc8442a5c0c0fcab704e88eeb677b48927c7ac7a | 7,884 | py | Python | KalmanMachine/KDataGenerator.py | marc-h-lambert/L-RVGA | e7cd0c9745c87fb68828f28b1856a9616da933b1 | [
"CC0-1.0"
] | null | null | null | KalmanMachine/KDataGenerator.py | marc-h-lambert/L-RVGA | e7cd0c9745c87fb68828f28b1856a9616da933b1 | [
"CC0-1.0"
] | null | null | null | KalmanMachine/KDataGenerator.py | marc-h-lambert/L-RVGA | e7cd0c9745c87fb68828f28b1856a9616da933b1 | [
"CC0-1.0"
] | null | null | null | ###################################################################################
# THE KALMAN MACHINE LIBRARY #
# Code supported by Marc Lambert #
####################################################################... | 37.542857 | 159 | 0.581558 | ###################################################################################
# THE KALMAN MACHINE LIBRARY #
# Code supported by Marc Lambert #
####################################################################... | 0 | 490 | 0 | 6,270 | 0 | 0 | 0 | 45 | 216 |
63775f782cb8e7de2343442b499ed0f15ca44db8 | 1,890 | py | Python | sysupdate.py | mtibbett67/sysupdate | 28d0e78d74f18184efdc54d2d4ec62dd16b351f0 | [
"MIT"
] | null | null | null | sysupdate.py | mtibbett67/sysupdate | 28d0e78d74f18184efdc54d2d4ec62dd16b351f0 | [
"MIT"
] | null | null | null | sysupdate.py | mtibbett67/sysupdate | 28d0e78d74f18184efdc54d2d4ec62dd16b351f0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
NAME:
sysupdate.py
DESCRIPTION:
Update OS using apt
CREATED:
Tue Mar 17 22:17:50 2015
VERSION:
2
AUTHOR:
Mark Tibbett
AUTHOR_EMAIL:
mtibbett67@gmail.com
URL:
N/A
DOWNLOAD_URL:
N/A
INSTALL_REQUIRES:
[]
PACKAGES:
[]
SCRIPTS:
[]
'''
# Standard library imports
... | 18.712871 | 73 | 0.591534 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
NAME:
sysupdate.py
DESCRIPTION:
Update OS using apt
CREATED:
Tue Mar 17 22:17:50 2015
VERSION:
2
AUTHOR:
Mark Tibbett
AUTHOR_EMAIL:
mtibbett67@gmail.com
URL:
N/A
DOWNLOAD_URL:
N/A
INSTALL_REQUIRES:
[]
PACKAGES:
[]
SCRIPTS:
[]
'''
# Standard library imports
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
134fbfefdb0c396b7402416c2809bf816a232596 | 4,762 | py | Python | practice/hw3/support.py | ixlan/Information-retrieval-I | 98e9cdea328e0c20e6e754ed0849b10f3d43fc3c | [
"MIT"
] | null | null | null | practice/hw3/support.py | ixlan/Information-retrieval-I | 98e9cdea328e0c20e6e754ed0849b10f3d43fc3c | [
"MIT"
] | null | null | null | practice/hw3/support.py | ixlan/Information-retrieval-I | 98e9cdea328e0c20e6e754ed0849b10f3d43fc3c | [
"MIT"
] | 1 | 2018-11-30T10:52:09.000Z | 2018-11-30T10:52:09.000Z | import matplotlib as mpl
mpl.rcParams['legend.loc'] = 'best'
# notice that this is a modified version of NDCG with relative normalization
# we score documents in the collection
# then sort by the score
# and return back the actual relevance list
| 26.752809 | 94 | 0.606468 | import numpy as np
import glob
import os
from query import load_queries
import copy
import random
import math
import matplotlib as mpl
import matplotlib.pyplot as plt
mpl.rcParams['legend.loc'] = 'best'
from timeit import default_timer as timer
# notice that this is a modified version of NDCG with relative normalizati... | 0 | 0 | 0 | 3,135 | 0 | 1,049 | 0 | -14 | 334 |
10da5dd6dbab70fa9e387e5ac878891a91b320b5 | 414 | py | Python | django-react/django_react/todos/models.py | bogdan-veliscu/react-stack-compare | e7d2020ec8177e12d1b1c41bfaed96c2ee87490c | [
"Apache-2.0"
] | null | null | null | django-react/django_react/todos/models.py | bogdan-veliscu/react-stack-compare | e7d2020ec8177e12d1b1c41bfaed96c2ee87490c | [
"Apache-2.0"
] | 7 | 2021-10-06T14:03:21.000Z | 2022-02-27T02:40:18.000Z | django-react/django_react/todos/models.py | bogdan-veliscu/react-stack-compare | e7d2020ec8177e12d1b1c41bfaed96c2ee87490c | [
"Apache-2.0"
] | null | null | null | from django.db import models
# Create your models here.
from django.contrib.auth import get_user_model
User = get_user_model()
| 25.875 | 56 | 0.719807 | from django.db import models
from django.conf import settings
from django.db import models
# Create your models here.
from django.contrib.auth import get_user_model
User = get_user_model()
class Todo(models.Model):
user = models.ForeignKey(User, related_name="todos",
on_delete=model... | 0 | 0 | 0 | 199 | 0 | 0 | 0 | 18 | 67 |
ce2228693b2b5320ab17bf93618d033e3fc599de | 1,618 | py | Python | vericep/payment/migrations/0002_auto_20200827_1759.py | SefaAkdeniz/Vericep-Graduation-Project-Backend-Django-MySQL | e8393ed9137811e5996b3b30faa4293a9aeb338a | [
"Apache-2.0"
] | null | null | null | vericep/payment/migrations/0002_auto_20200827_1759.py | SefaAkdeniz/Vericep-Graduation-Project-Backend-Django-MySQL | e8393ed9137811e5996b3b30faa4293a9aeb338a | [
"Apache-2.0"
] | 3 | 2021-04-08T19:47:06.000Z | 2021-06-10T20:06:49.000Z | vericep/payment/migrations/0002_auto_20200827_1759.py | SefaAkdeniz/Vericep-Graduation-Project-Backend-Django-MySQL | e8393ed9137811e5996b3b30faa4293a9aeb338a | [
"Apache-2.0"
] | null | null | null | # Generated by Django 3.0.8 on 2020-08-27 14:59
| 39.463415 | 260 | 0.553152 | # Generated by Django 3.0.8 on 2020-08-27 14:59
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('payment', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='balance',
options={'verbose_name': '... | 22 | 0 | 0 | 1,493 | 0 | 0 | 0 | 19 | 46 |
9992cd3dda49fe83ec51824d731c774b77b1c5e0 | 4,531 | py | Python | src/SubClassReasoner.py | Weissger/TST.SubClassReasoner | 8fa97ff70136f05594b9eb685df2470ed43b6fd7 | [
"MIT"
] | null | null | null | src/SubClassReasoner.py | Weissger/TST.SubClassReasoner | 8fa97ff70136f05594b9eb685df2470ed43b6fd7 | [
"MIT"
] | null | null | null | src/SubClassReasoner.py | Weissger/TST.SubClassReasoner | 8fa97ff70136f05594b9eb685df2470ed43b6fd7 | [
"MIT"
] | null | null | null | __author__ = 'tmy'
| 39.745614 | 121 | 0.556389 | __author__ = 'tmy'
import os
from datetime import datetime
from multiprocessing import Process
from .ProcessManager.ProcessManager import ProcessManager, OccupiedError
from .NTripleLineParser.src.NTripleLineParser import NTripleLineParser
from .SparqlInterface.src import ClientFactory
from .Materializer.Materializer i... | 0 | 0 | 0 | 4,044 | 0 | 0 | 0 | 222 | 244 |
b847e8056aeb9aad38178a541f8bc5e9d3a88acf | 2,600 | py | Python | pyspider/database/mongodb/resultdb.py | mayk93/pyspider | 87a1f9227ace2e577492e6ec3ecde0e2d8575411 | [
"Apache-2.0"
] | 5 | 2015-03-31T13:25:25.000Z | 2016-03-14T11:17:02.000Z | pyspider/database/mongodb/resultdb.py | mayk93/pyspider | 87a1f9227ace2e577492e6ec3ecde0e2d8575411 | [
"Apache-2.0"
] | null | null | null | pyspider/database/mongodb/resultdb.py | mayk93/pyspider | 87a1f9227ace2e577492e6ec3ecde0e2d8575411 | [
"Apache-2.0"
] | 1 | 2016-02-17T23:12:47.000Z | 2016-02-17T23:12:47.000Z | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# vim: set et sw=4 ts=4 sts=4 ff=unix fenc=utf8:
# Author: Binux<i@binux.me>
# http://binux.me
# Created on 2014-10-13 22:18:36
| 32.911392 | 96 | 0.615769 | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# vim: set et sw=4 ts=4 sts=4 ff=unix fenc=utf8:
# Author: Binux<i@binux.me>
# http://binux.me
# Created on 2014-10-13 22:18:36
import json
import time
from pymongo import MongoClient
from pyspider.database.base.resultdb import ResultDB as BaseResultDB
from .mong... | 0 | 0 | 0 | 2,225 | 0 | 0 | 0 | 56 | 134 |
597f27f86a34f76d42a66e98797cbf1e12e589a5 | 932 | py | Python | tests/programs/lists/sequential_tuple.py | astraldawn/pylps | e9964a24bb38657b180d441223b4cdb9e1dadc8a | [
"MIT"
] | 1 | 2018-05-19T18:28:12.000Z | 2018-05-19T18:28:12.000Z | tests/programs/lists/sequential_tuple.py | astraldawn/pylps | e9964a24bb38657b180d441223b4cdb9e1dadc8a | [
"MIT"
] | 12 | 2018-04-26T00:58:11.000Z | 2018-05-13T22:03:39.000Z | tests/programs/lists/sequential_tuple.py | astraldawn/pylps | e9964a24bb38657b180d441223b4cdb9e1dadc8a | [
"MIT"
] | null | null | null | from pylps.lps_data_structures import LPSTuple
initialise(max_time=5)
create_actions('show(_)', 'show_tuple(_, _)')
create_events('handle_list(_)')
create_variables('X', 'Y', 'XS')
reactive_rule(True).then(
handle_list([
('a', 1),
('b', 2),
('c', 3),
('d', 4),
]).frm(T1, T2)
)... | 18.64 | 66 | 0.613734 | from pylps.core import *
from pylps.lps_data_structures import LPSTuple
initialise(max_time=5)
create_actions('show(_)', 'show_tuple(_, _)')
create_events('handle_list(_)')
create_variables('X', 'Y', 'XS')
reactive_rule(True).then(
handle_list([
('a', 1),
('b', 2),
('c', 3),
('d',... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 22 |
794531b10fc3263ae13bf2014886f79ce3cf7b77 | 1,156 | py | Python | interview/leet/778_Swim_in_Rising_Water.py | eroicaleo/LearningPython | 297d46eddce6e43ce0c160d2660dff5f5d616800 | [
"MIT"
] | 1 | 2020-10-12T13:33:29.000Z | 2020-10-12T13:33:29.000Z | interview/leet/778_Swim_in_Rising_Water.py | eroicaleo/LearningPython | 297d46eddce6e43ce0c160d2660dff5f5d616800 | [
"MIT"
] | null | null | null | interview/leet/778_Swim_in_Rising_Water.py | eroicaleo/LearningPython | 297d46eddce6e43ce0c160d2660dff5f5d616800 | [
"MIT"
] | 1 | 2016-11-09T07:28:45.000Z | 2016-11-09T07:28:45.000Z | #!/usr/bin/env python3
# Thinking process
# The animation of spanning with colors black/white/gray
# Like the ones in princeton lecture really helped me
sol = Solution()
grid = [[0,2],[1,3]]
grid = [[0,1,2,3,4],[24,23,22,21,5],[12,13,14,15,16],[11,17,18,19,20],[10,9,8,7,6]]
grid = [[24,1,2,3,4],[0,23,22,21,5],[12,13,... | 35.030303 | 85 | 0.467993 | #!/usr/bin/env python3
# Thinking process
# The animation of spanning with colors black/white/gray
# Like the ones in princeton lecture really helped me
from heapq import heappush, heappop
class Solution:
def swimInWater(self, grid):
l, heap, delta = len(grid), [(grid[0][0], 0, 0)], [(0,1),(0,-1),(1,0),(-... | 0 | 0 | 0 | 706 | 0 | 0 | 0 | 14 | 45 |
70e6fa28f56a29cbf2f2d0d7f92baa08728776a4 | 4,987 | py | Python | dask_geomodeling/ipyleaflet_plugin.py | RichardScottOZ/dask-geomodeling | d463af5db4eccdc53be43862fd25e45f9aca4574 | [
"BSD-3-Clause"
] | 24 | 2019-10-10T21:39:36.000Z | 2022-02-20T21:06:33.000Z | dask_geomodeling/ipyleaflet_plugin.py | RichardScottOZ/dask-geomodeling | d463af5db4eccdc53be43862fd25e45f9aca4574 | [
"BSD-3-Clause"
] | 40 | 2019-09-06T09:17:09.000Z | 2022-01-31T11:12:46.000Z | dask_geomodeling/ipyleaflet_plugin.py | RichardScottOZ/dask-geomodeling | d463af5db4eccdc53be43862fd25e45f9aca4574 | [
"BSD-3-Clause"
] | 6 | 2019-10-28T14:13:26.000Z | 2022-03-09T16:02:26.000Z | from notebook.utils import url_path_join
def load_jupyter_server_extension(nb_server_app):
"""
Called when the extension is loaded.
Args:
nb_server_app (NotebookWebApplication): handle to the Notebook webserver instance.
"""
web_app = nb_server_app.web_app
host_pattern = ".*$"
r... | 35.621429 | 102 | 0.65009 | from datetime import datetime
from io import BytesIO
from urllib.parse import urljoin
import numpy as np
import traitlets
from ipyleaflet import WMSLayer
from matplotlib import cm
from matplotlib.colors import Normalize
from notebook import notebookapp
from notebook.base.handlers import IPythonHandler
from notebook.ut... | 0 | 0 | 0 | 4,106 | 0 | 0 | 0 | 101 | 312 |
734dcac8001fc0cf52375eac800e4329cbad010a | 1,218 | py | Python | solutions/0530-minimum-absolute-difference-in-bst/minimum-absolute-difference-in-bst.py | iFun/Project-G | d33b3b3c7bcee64f93dc2539fd9955a27f321d96 | [
"MIT"
] | null | null | null | solutions/0530-minimum-absolute-difference-in-bst/minimum-absolute-difference-in-bst.py | iFun/Project-G | d33b3b3c7bcee64f93dc2539fd9955a27f321d96 | [
"MIT"
] | null | null | null | solutions/0530-minimum-absolute-difference-in-bst/minimum-absolute-difference-in-bst.py | iFun/Project-G | d33b3b3c7bcee64f93dc2539fd9955a27f321d96 | [
"MIT"
] | null | null | null | # Given a binary search tree with non-negative values, find the minimum absolute difference between values of any two nodes.
#
# Example:
#
#
# Input:
#
# 1
# \
# 3
# /
# 2
#
# Output:
# 1
#
# Explanation:
# The minimum absolute difference is 1, which is the difference between 2 and 1 (or ... | 21 | 125 | 0.541872 | # Given a binary search tree with non-negative values, find the minimum absolute difference between values of any two nodes.
#
# Example:
#
#
# Input:
#
# 1
# \
# 3
# /
# 2
#
# Output:
# 1
#
# Explanation:
# The minimum absolute difference is 1, which is the difference between 2 and 1 (or ... | 2 | 0 | 0 | 630 | 0 | 0 | 0 | 0 | 23 |
3499eeff8038172939193acef20b3fe68d410fc5 | 589 | py | Python | Miscellaneous/GuessTheNo.py | spirulinax/PyHub | ae92c249224013f86c06b4d6cec3c6caa2e18c4d | [
"MIT"
] | 1 | 2020-11-09T14:13:45.000Z | 2020-11-09T14:13:45.000Z | Miscellaneous/GuessTheNo.py | spirulinax/PyHub | ae92c249224013f86c06b4d6cec3c6caa2e18c4d | [
"MIT"
] | null | null | null | Miscellaneous/GuessTheNo.py | spirulinax/PyHub | ae92c249224013f86c06b4d6cec3c6caa2e18c4d | [
"MIT"
] | null | null | null | # Guess The No
n = 45
attempt = 0
NoOfGuess = 9
while NoOfGuess > 0:
attempt += 1
print("---------------------------------")
No = int(input("Enter a No:-"))
if No == n:
print("Congratulations You won!")
print("Total Attempt Taken:-", attempt)
break
elif No < n:
pri... | 21.035714 | 48 | 0.47708 | # Guess The No
n = 45
attempt = 0
NoOfGuess = 9
while NoOfGuess > 0:
attempt += 1
print("---------------------------------")
No = int(input("Enter a No:-"))
if No == n:
print("Congratulations You won!")
print("Total Attempt Taken:-", attempt)
break
elif No < n:
pri... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8ac4088faa49f24247ab4e52803e3dbe165157c3 | 4,231 | py | Python | examples/gui/gui_common.py | charbeljc/pymodbus | f0edef3071d500b7e3a987ee196c38bb79f59518 | [
"W3C"
] | null | null | null | examples/gui/gui_common.py | charbeljc/pymodbus | f0edef3071d500b7e3a987ee196c38bb79f59518 | [
"W3C"
] | null | null | null | examples/gui/gui_common.py | charbeljc/pymodbus | f0edef3071d500b7e3a987ee196c38bb79f59518 | [
"W3C"
] | 2 | 2021-05-02T06:37:33.000Z | 2022-02-06T16:08:47.000Z | #!/usr/bin/env python
# -------------------------------------------------------------------------- #
# System
# -------------------------------------------------------------------------- #
import os
import getpass
import pickle
from threading import Thread
# ------------------------------------------------------------... | 34.398374 | 78 | 0.45143 | #!/usr/bin/env python
# -------------------------------------------------------------------------- #
# System
# -------------------------------------------------------------------------- #
import os
import getpass
import pickle
from threading import Thread
# ------------------------------------------------------------... | 0 | 0 | 0 | 2,118 | 0 | 0 | 0 | -1 | 69 |
99737a47300033ec91b5e8f9c0d5fbaea99d17dc | 2,124 | py | Python | abc_graphene_sqlalchemy/tests/test_fields.py | maquino1985/graphene-sqlalchemy | 89e11fbbb7513bb07fb87ed805cad6dcd98d41c2 | [
"MIT"
] | 1 | 2021-03-18T10:35:33.000Z | 2021-03-18T10:35:33.000Z | abc_graphene_sqlalchemy/tests/test_fields.py | maquino1985/graphene-sqlalchemy | 89e11fbbb7513bb07fb87ed805cad6dcd98d41c2 | [
"MIT"
] | null | null | null | abc_graphene_sqlalchemy/tests/test_fields.py | maquino1985/graphene-sqlalchemy | 89e11fbbb7513bb07fb87ed805cad6dcd98d41c2 | [
"MIT"
] | null | null | null | import logging
log = logging.getLogger(__name__)
| 27.947368 | 111 | 0.750471 | import logging
import pytest
from promise import Promise
from graphene import InputObjectType
from graphene.relay import Connection
from sqlalchemy import inspect
from .models import Editor as EditorModel
from .models import Pet as PetModel
from ..fields import SQLAlchemyConnectionField, SQLAlchemyFilteredConnection... | 0 | 0 | 0 | 156 | 0 | 1,328 | 0 | 151 | 430 |
d434cf747e0d00bccee8b50a8bf0bf43a33096bb | 155 | py | Python | module2/Bot/test.py | 2B5/ia-3B5 | 40a54eb3c6b3d4f536ca1e93b317e2ea9c9a327e | [
"MIT"
] | null | null | null | module2/Bot/test.py | 2B5/ia-3B5 | 40a54eb3c6b3d4f536ca1e93b317e2ea9c9a327e | [
"MIT"
] | 2 | 2017-01-17T17:25:15.000Z | 2021-02-16T23:08:25.000Z | module2/Bot/test.py | 2B5/ia-3B5 | 40a54eb3c6b3d4f536ca1e93b317e2ea9c9a327e | [
"MIT"
] | 2 | 2016-12-06T08:30:38.000Z | 2016-12-22T01:06:27.000Z | import aiml
kernel = aiml.Kernel()
kernel.learn("startup.xml")
kernel.respond("load aiml")
while True:
print(kernel.respond(raw_input("Message >>"))) | 19.375 | 50 | 0.716129 | import aiml
kernel = aiml.Kernel()
kernel.learn("startup.xml")
kernel.respond("load aiml")
while True:
print(kernel.respond(raw_input("Message >>"))) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a3dfba0ecffb4a8e77fef62ce979de407e8dc97d | 1,522 | py | Python | semantic_segmentation/src/models/segformer.py | no-name-xiaosheng/PaddleViT | 50226a3be5095b3727d3c62d2eab23ef1e9612ec | [
"Apache-2.0"
] | 2 | 2021-11-23T02:01:52.000Z | 2021-11-23T02:02:03.000Z | semantic_segmentation/src/models/segformer.py | Dongsheng-Bi/PaddleViT | c90a6c8dc3787e69cef3a37b9a260bd59eeff1f7 | [
"Apache-2.0"
] | null | null | null | semantic_segmentation/src/models/segformer.py | Dongsheng-Bi/PaddleViT | c90a6c8dc3787e69cef3a37b9a260bd59eeff1f7 | [
"Apache-2.0"
] | null | null | null | import paddle.nn as nn
| 40.052632 | 63 | 0.676741 | import paddle.nn as nn
from .backbones.mix_transformer import MixVisionTransformer
from .decoders.segformer_head import SegformerHead
class Segformer(nn.Layer):
"""Segformer model implementation
"""
def __init__(self, config):
super(Segformer, self).__init__()
self.backbone = MixVisi... | 0 | 0 | 0 | 1,364 | 0 | 0 | 0 | 67 | 68 |
88d0e040eb0d18aebce1104ffd1bde81bddf0d0b | 8,176 | py | Python | siuba/siu/dispatchers.py | sethvargo/siuba | 90172e7888b93eb4a42187a5aea947dbcbbc05ad | [
"MIT"
] | null | null | null | siuba/siu/dispatchers.py | sethvargo/siuba | 90172e7888b93eb4a42187a5aea947dbcbbc05ad | [
"MIT"
] | null | null | null | siuba/siu/dispatchers.py | sethvargo/siuba | 90172e7888b93eb4a42187a5aea947dbcbbc05ad | [
"MIT"
] | null | null | null | # symbolic dispatch wrapper ---------------------------------------------------
from functools import singledispatch
from .calls import Call, Lazy
from .symbolic import strip_symbolic
def symbolic_dispatch(f = None, cls = object):
"""Return a generic dispatch function with symbolic data implementations.
The... | 29.516245 | 95 | 0.597725 | # symbolic dispatch wrapper ---------------------------------------------------
from functools import singledispatch, update_wrapper, wraps
import inspect
from .calls import Call, FuncArg, MetaArg, Lazy
from .symbolic import Symbolic, create_sym_call, strip_symbolic
def _dispatch_not_impl(func_name):
def f(x, *a... | 0 | 1,502 | 0 | 2,265 | 0 | 257 | 0 | 61 | 250 |
76f6d739cb23629b57aa94b4e728c30211cd2955 | 4,709 | py | Python | woudc_data_registry/registry.py | ahurka/woudc-data-registry | 29ce092076193f2730d488de5412d93a7b78b987 | [
"MIT"
] | null | null | null | woudc_data_registry/registry.py | ahurka/woudc-data-registry | 29ce092076193f2730d488de5412d93a7b78b987 | [
"MIT"
] | null | null | null | woudc_data_registry/registry.py | ahurka/woudc-data-registry | 29ce092076193f2730d488de5412d93a7b78b987 | [
"MIT"
] | null | null | null | # =================================================================
#
# Terms and Conditions of Use
#
# Unless otherwise noted, computer program source code of this
# distribution # is covered under Crown Copyright, Government of
# Canada, and is distributed under the MIT License.
#
# The Canada wordmark and related gr... | 32.475862 | 73 | 0.651094 | # =================================================================
#
# Terms and Conditions of Use
#
# Unless otherwise noted, computer program source code of this
# distribution # is covered under Crown Copyright, Government of
# Canada, and is distributed under the MIT License.
#
# The Canada wordmark and related gr... | 0 | 0 | 0 | 2,454 | 0 | 0 | 0 | 65 | 113 |
54b57db99bbed5cda2f6832054fc944284bdef27 | 322 | py | Python | leadreader/str.py | raindrift/leadreader | c360630a75a149e20c9cf64bcb2c14646effb9ae | [
"MIT"
] | null | null | null | leadreader/str.py | raindrift/leadreader | c360630a75a149e20c9cf64bcb2c14646effb9ae | [
"MIT"
] | null | null | null | leadreader/str.py | raindrift/leadreader | c360630a75a149e20c9cf64bcb2c14646effb9ae | [
"MIT"
] | null | null | null | """
String utilities.
"""
| 21.466667 | 70 | 0.586957 | """
String utilities.
"""
def camelize(value):
"""
Return the camel-cased version of a string.
Used for analysis class names.
"""
def _camelcase():
while True:
yield type(value).capitalize
c = _camelcase()
return "".join(next(c)(x) if x else '_' for x in value.split("_")... | 0 | 0 | 0 | 0 | 273 | 0 | 0 | 0 | 23 |
130d68694e0cf1462e5ccacca80e498aa25a58b7 | 24,266 | py | Python | Scripts/simulation/holidays/holiday_tradition.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/simulation/holidays/holiday_tradition.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | Scripts/simulation/holidays/holiday_tradition.py | velocist/TS4CheatsInfo | b59ea7e5f4bd01d3b3bd7603843d525a9c179867 | [
"Apache-2.0"
] | null | null | null | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: T:\InGame\Gameplay\Scripts\Server\holidays\holiday_tradition.py
# Compiled at: 2020-06-15 20:09:55
# Size of source mod 2**32: 25532 b... | 55.783908 | 401 | 0.623424 | # uncompyle6 version 3.7.4
# Python bytecode 3.7 (3394)
# Decompiled from: Python 3.7.9 (tags/v3.7.9:13c94747c7, Aug 17 2020, 18:58:18) [MSC v.1900 64 bit (AMD64)]
# Embedded file name: T:\InGame\Gameplay\Scripts\Server\holidays\holiday_tradition.py
# Compiled at: 2020-06-15 20:09:55
# Size of source mod 2**32: 25532 b... | 0 | 927 | 0 | 10,719 | 677 | 4,751 | 0 | 0 | 450 |
fca8a4cdcd60925e50a4fe8be2fd519f54dc6226 | 594 | py | Python | yt_dlp/WS_Extractor/fox.py | evolution-ant/local-youtube-dl | e9be36e8cdc585c0e24a18c74d790b62af6e11a7 | [
"Unlicense"
] | null | null | null | yt_dlp/WS_Extractor/fox.py | evolution-ant/local-youtube-dl | e9be36e8cdc585c0e24a18c74d790b62af6e11a7 | [
"Unlicense"
] | null | null | null | yt_dlp/WS_Extractor/fox.py | evolution-ant/local-youtube-dl | e9be36e8cdc585c0e24a18c74d790b62af6e11a7 | [
"Unlicense"
] | null | null | null | #encoding: utf-8
| 39.6 | 163 | 0.725589 | #encoding: utf-8
import re
import json
from ..extractor.fox import FOXIE as Old
from ..utilsEX import download_webPage_by_PYCURL
class FoxIE(Old):
def _download_webpage(self, url_or_request, video_id, note=None, errnote=None, fatal=True, tries=1, timeout=5, encoding=None, data=None, headers={}, query={}):
... | 0 | 0 | 0 | 440 | 0 | 0 | 0 | 24 | 113 |
b513b7325a18107a0d683adb1f74f7b43224fbe7 | 2,307 | py | Python | tronx/modules/__init__.py | beastzx18/Tron | 92207b841c80311e484e8f350b96f7df8a76d3b9 | [
"MIT"
] | 8 | 2021-08-22T06:43:34.000Z | 2022-02-24T17:09:49.000Z | tronx/modules/__init__.py | beastzx18/Tron | 92207b841c80311e484e8f350b96f7df8a76d3b9 | [
"MIT"
] | 61 | 2021-09-12T11:05:33.000Z | 2021-12-07T15:26:18.000Z | tronx/modules/__init__.py | beastzx18/Tron | 92207b841c80311e484e8f350b96f7df8a76d3b9 | [
"MIT"
] | 6 | 2021-09-08T08:43:04.000Z | 2022-02-24T17:09:50.000Z |
# -----
MODULES = sorted(__list_all_plugins())
__all__ = MODULES + ["MODULES"]
# -----
# types of message
# chat type
| 19.066116 | 70 | 0.684439 | import os
from pyrogram.types import Message
from tronx import USER_ID, Config
from tronx.database.postgres import dv_sql as dv
# -----
def __list_all_plugins():
from os.path import dirname, basename, isfile
import glob
mod_paths = glob.glob(dirname(__file__) + "/*.py")
all_plugins = [
basename(f)[:-3]
... | 0 | 0 | 0 | 0 | 0 | 1,953 | 0 | 40 | 180 |
7388a16df3e442cbca8c2f4415458d3451d3daa3 | 2,892 | py | Python | backend/socket_chat/tests/group_consumer/chat_events/test_list_group_event.py | nikifkon/ChatApp | 1b34e25dca63db7389cec87d7fb1099d95a6308a | [
"MIT"
] | 6 | 2019-09-15T09:35:09.000Z | 2020-03-21T04:10:39.000Z | backend/socket_chat/tests/group_consumer/chat_events/test_list_group_event.py | nikifkon/ChatApp | 1b34e25dca63db7389cec87d7fb1099d95a6308a | [
"MIT"
] | 6 | 2019-09-14T11:09:19.000Z | 2021-06-10T18:49:50.000Z | backend/socket_chat/tests/group_consumer/chat_events/test_list_group_event.py | nikifkon/ChatApp | 1b34e25dca63db7389cec87d7fb1099d95a6308a | [
"MIT"
] | 2 | 2019-10-17T21:11:53.000Z | 2021-02-04T02:52:29.000Z |
import pytest
pytestmark = [pytest.mark.asyncio, pytest.mark.django_db(transaction=True)]
# The list method with a filter should not return groups without messages that match the filter
| 37.558442 | 123 | 0.755878 | from copy import deepcopy
import pytest
from channels.testing import WebsocketCommunicator
from backend.groups.models import ChatGroup, GroupMessage
from backend.socket_chat.tests.utils import round_to_minutes
pytestmark = [pytest.mark.asyncio, pytest.mark.django_db(transaction=True)]
@pytest.fixture
def group_la... | 0 | 1,256 | 1,058 | 0 | 0 | 0 | 0 | 108 | 272 |
99e3b201284a27e95b30d576ebb5e398e5e6d326 | 7,740 | py | Python | server.py | dplassgit/starter-snake-python | 3264a50663c32e96d608268b8d74b38290cd5322 | [
"MIT"
] | null | null | null | server.py | dplassgit/starter-snake-python | 3264a50663c32e96d608268b8d74b38290cd5322 | [
"MIT"
] | null | null | null | server.py | dplassgit/starter-snake-python | 3264a50663c32e96d608268b8d74b38290cd5322 | [
"MIT"
] | null | null | null | import os
import cherrypy
"""
Dumb battlesnake server in python.
For instructions see https://github.com/BattlesnakeOfficial/starter-snake-python/README.md
"""
move_names = ["up", "down", "left", "right"]
moves_dx = [0, 0, -1, 1]
moves_dy = [1, -1, 0, 0]
""" Snake object. """
# Map from key to AnSnake objects
snake... | 28.666667 | 108 | 0.589276 | import os
import random
import cherrypy
"""
Dumb battlesnake server in python.
For instructions see https://github.com/BattlesnakeOfficial/starter-snake-python/README.md
"""
move_names = ["up", "down", "left", "right"]
moves_dx = [0, 0, -1, 1]
moves_dy = [1, -1, 0, 0]
""" Snake object. """
class AnSnake(object):
de... | 0 | 1,565 | 0 | 5,404 | 0 | 0 | 0 | -8 | 166 |
d0402f1bee556b094723200b8f549a690fa5a0f4 | 174 | py | Python | modules/jenkins/chuck_module.py | msabramo/django-chuck | bbef6171c9b3738460dc05cb77e65ba88fcc5ad8 | [
"BSD-2-Clause"
] | 1 | 2020-05-29T04:27:50.000Z | 2020-05-29T04:27:50.000Z | modules/jenkins/chuck_module.py | msabramo/django-chuck | bbef6171c9b3738460dc05cb77e65ba88fcc5ad8 | [
"BSD-2-Clause"
] | null | null | null | modules/jenkins/chuck_module.py | msabramo/django-chuck | bbef6171c9b3738460dc05cb77e65ba88fcc5ad8 | [
"BSD-2-Clause"
] | null | null | null | depends = ["unittest"]
description = """
Plug and play integration with the Jenkins Coninuous Integration server.
For more information, visit:
http://www.jenkins-ci.org/
""" | 24.857143 | 72 | 0.747126 | depends = ["unittest"]
description = """
Plug and play integration with the Jenkins Coninuous Integration server.
For more information, visit:
http://www.jenkins-ci.org/
""" | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6226e87e91e3d07d4938eccf6653e2af46cf982f | 5,595 | py | Python | plastic_agent/agent/replay_buffer.py | pedMatias/matias_hfo | 6d88e1043a1455f5c1f6cc11b9380869772f4176 | [
"MIT"
] | 1 | 2021-06-03T20:03:50.000Z | 2021-06-03T20:03:50.000Z | plastic_agent/agent/replay_buffer.py | pedMatias/matias_hfo | 6d88e1043a1455f5c1f6cc11b9380869772f4176 | [
"MIT"
] | null | null | null | plastic_agent/agent/replay_buffer.py | pedMatias/matias_hfo | 6d88e1043a1455f5c1f6cc11b9380869772f4176 | [
"MIT"
] | 1 | 2021-03-14T01:22:33.000Z | 2021-03-14T01:22:33.000Z |
REPLAY_MEMORY_SIZE = 50_000 # How many last steps to keep for model training
MIN_REPLAY_MEMORY_SIZE = 1_000 # Minimum number of steps in a memory to
| 35.188679 | 80 | 0.597319 | import numpy as np
import os
import random
from copy import copy
from typing import List
import pickle
from agents.plastic_dqn_v1 import config
REPLAY_MEMORY_SIZE = 50_000 # How many last steps to keep for model training
MIN_REPLAY_MEMORY_SIZE = 1_000 # Minimum number of steps in a memory to
class Transition:
... | 0 | 1,449 | 0 | 3,776 | 0 | 0 | 0 | -10 | 225 |
9666ad76af020f393f10d46a89a360cc326f4eb9 | 1,312 | py | Python | ucvm_v21_10/make_mesh_model.py | SCECcode/ucvm_docker | f472fb0ff512a15c557d88734dcda3ec6a550cc3 | [
"BSD-3-Clause"
] | 1 | 2022-03-08T00:12:08.000Z | 2022-03-08T00:12:08.000Z | ucvm_v21_10/make_mesh_model.py | SCECcode/ucvm_docker | f472fb0ff512a15c557d88734dcda3ec6a550cc3 | [
"BSD-3-Clause"
] | 1 | 2021-12-10T20:35:20.000Z | 2021-12-10T20:35:20.000Z | ucvm_v21_10/make_mesh_model.py | SCECcode/ucvm_docker | f472fb0ff512a15c557d88734dcda3ec6a550cc3 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import sys
import os
import time
#
# Generate the master out.grid
# Create a 3M point file of lat/lons - and write to ASCII file called out.grd.
# This file will be used as input to ucvm_query for medium scale test for images
#
if not os.path.exists("out.grd"):
print("Creating grd.out file.")
... | 23.017544 | 102 | 0.699695 | #!/usr/bin/env python3
import sys
import os
import time
#
# Generate the master out.grid
# Create a 3M point file of lat/lons - and write to ASCII file called out.grd.
# This file will be used as input to ucvm_query for medium scale test for images
#
if not os.path.exists("out.grd"):
print("Creating grd.out file.")
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b1ac4c296c0679ac6f18ecdf329130a62edd9cd2 | 1,633 | py | Python | lib/pulsemodel/sigproc/scripts/bndspec2spec.py | qingyundou/tacotron_qdou | aca014e8ea73bbab617029b81368cee235f47ce2 | [
"MIT"
] | 2 | 2020-12-16T12:53:52.000Z | 2021-09-18T06:52:05.000Z | lib/pulsemodel/sigproc/scripts/bndspec2spec.py | qingyundou/tacotron_qdou | aca014e8ea73bbab617029b81368cee235f47ce2 | [
"MIT"
] | null | null | null | lib/pulsemodel/sigproc/scripts/bndspec2spec.py | qingyundou/tacotron_qdou | aca014e8ea73bbab617029b81368cee235f47ce2 | [
"MIT"
] | 1 | 2021-03-05T03:44:39.000Z | 2021-03-05T03:44:39.000Z | #!/usr/bin/python
'''
Copyright(C) 2016 Engineering Department, University of Cambridge, UK.
License
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/LI... | 37.113636 | 108 | 0.736681 | #!/usr/bin/python
'''
Copyright(C) 2016 Engineering Department, University of Cambridge, UK.
License
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/LI... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1ae5a32e889489d3ae8d914a5b1ff679ee750c75 | 750 | py | Python | measurements/migrations/0011_testrun_ordering.py | nat64check/zaphod_backend | b92191950825e1a4fd8c34207c8491d587cfb61f | [
"BSD-3-Clause"
] | 1 | 2017-11-14T16:22:38.000Z | 2017-11-14T16:22:38.000Z | measurements/migrations/0011_testrun_ordering.py | sjm-steffann/nat64check_zaphod_backend | b92191950825e1a4fd8c34207c8491d587cfb61f | [
"BSD-3-Clause"
] | 5 | 2019-12-03T05:36:07.000Z | 2021-06-25T15:20:04.000Z | measurements/migrations/0011_testrun_ordering.py | sjm-steffann/nat64check_zaphod_backend | b92191950825e1a4fd8c34207c8491d587cfb61f | [
"BSD-3-Clause"
] | null | null | null | #
# Copyright (c) 2018, S.J.M. Steffann. This software is licensed under the BSD
# 3-Clause License. Please see the LICENSE file in the project root directory.
#
# Generated by Django 2.0.7 on 2018-07-23 14:47
| 34.090909 | 113 | 0.516 | # ••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••
# Copyright (c) 2018, S.J.M. Steffann. This software is licensed under the BSD
# 3-Clause License. Please see the LICENSE file in the project root directory.
# •••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••••... | 468 | 0 | 0 | 321 | 0 | 0 | 0 | 11 | 46 |
70e4742cf86e95b61a1b7955657907327064055a | 5,915 | py | Python | historia/intercept/select.py | thatdevsherry/historia | 232026b38479fd855c1d8eff543d95e144bfdfe2 | [
"MIT"
] | 10 | 2020-12-12T23:00:27.000Z | 2022-02-09T18:01:40.000Z | historia/intercept/select.py | ShehriyarQureshi/historia | feb48e1489563e4770d32d4e6465d3931407a345 | [
"MIT"
] | 3 | 2018-11-01T11:36:55.000Z | 2018-11-09T04:43:54.000Z | historia/intercept/select.py | ShehriyarQureshi/temporalite | feb48e1489563e4770d32d4e6465d3931407a345 | [
"MIT"
] | null | null | null | """
Copyright (c) 2019 Muhammad Shehriyar Qureshi
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish,... | 33.607955 | 131 | 0.647844 | """
Copyright (c) 2019 Muhammad Shehriyar Qureshi
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish,... | 0 | 0 | 0 | 4,803 | 0 | 0 | 0 | -12 | 45 |
ed185ed349862425c27643f54e86a86df7452b89 | 643 | py | Python | main.py | BdEINSALyon/planning-downloader | 6f0875702547d4746c5c9d766ee2922e0b2a26c5 | [
"MIT"
] | null | null | null | main.py | BdEINSALyon/planning-downloader | 6f0875702547d4746c5c9d766ee2922e0b2a26c5 | [
"MIT"
] | null | null | null | main.py | BdEINSALyon/planning-downloader | 6f0875702547d4746c5c9d766ee2922e0b2a26c5 | [
"MIT"
] | null | null | null |
if __name__ == '__main__':
main()
| 23.814815 | 82 | 0.491446 | import requests
def main():
PHPSESSID = 'oflbncfl7e2pk5rhhir703ruf3'
URL = 'http://planning.gala.bde-insa-lyon.fr/orga/{id}/print'
orgas = [
{'id': 1, 'name': 'SUPER ADMIN'}
]
for o in orgas:
print(o['name'])
r = requests.get(URL.format(id=o['id']), cookies={'PHPSESSID': P... | 0 | 0 | 0 | 0 | 0 | 564 | 0 | -6 | 45 |
af679ac4a4259365b979a1379db022e999b02ea8 | 2,038 | py | Python | chap08/sentiment.py | wtsnjp/nlp100 | 8beaabd0e8598e8a0cbd1eca690281ce5d783e93 | [
"Unlicense"
] | 3 | 2018-01-18T09:56:39.000Z | 2019-03-14T05:54:11.000Z | chap08/sentiment.py | WatsonDNA/nlp100 | 8beaabd0e8598e8a0cbd1eca690281ce5d783e93 | [
"Unlicense"
] | null | null | null | chap08/sentiment.py | WatsonDNA/nlp100 | 8beaabd0e8598e8a0cbd1eca690281ce5d783e93 | [
"Unlicense"
] | 1 | 2020-05-12T14:24:00.000Z | 2020-05-12T14:24:00.000Z | #
# Class SentimentSentences: sentences for polarity analysis
#
| 30.878788 | 73 | 0.540236 | #
# Class SentimentSentences: sentences for polarity analysis
#
from nltk import stem
from collections import Counter
from bisect import bisect_left
from sklearn.linear_model import LogisticRegression
from sklearn.feature_extraction.text import CountVectorizer
class SentimentSentences:
def __init__(self, sentence... | 0 | 123 | 0 | 1,629 | 0 | 0 | 0 | 87 | 134 |
ebc20eb2ee4c18598edb19954bc42f8e40aa130d | 196 | py | Python | 26-50/30.py | tonyyzy/ProjectEuler | f52de2f931ebd4df2020e32d12062866b1586e72 | [
"MIT"
] | null | null | null | 26-50/30.py | tonyyzy/ProjectEuler | f52de2f931ebd4df2020e32d12062866b1586e72 | [
"MIT"
] | null | null | null | 26-50/30.py | tonyyzy/ProjectEuler | f52de2f931ebd4df2020e32d12062866b1586e72 | [
"MIT"
] | null | null | null | n = 10
result = []
while n < 1000000:
a = str(n)
temp = 0
for i in a:
temp += int(i) ** 5
if temp == n:
result.append(n)
n += 1
print(sum(result))
| 15.076923 | 28 | 0.428571 | n = 10
result = []
while n < 1000000:
a = str(n)
temp = 0
for i in a:
temp += int(i) ** 5
if temp == n:
result.append(n)
n += 1
print(sum(result))
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dec766a3420a14372b2ae35c3a7c1574968c32eb | 35 | py | Python | ast-transformations-core/src/test/resources/org/jetbrains/research/ml/ast/gumtree/tree/data/loop/for/in_4.py | JetBrains-Research/ast-transformations | 0ab408af3275b520cc87a473f418c4b4dfcb0284 | [
"MIT"
] | 8 | 2021-01-19T21:15:54.000Z | 2022-02-23T19:16:25.000Z | ast-transformations-core/src/test/resources/org/jetbrains/research/ml/ast/gumtree/tree/data/loop/for/in_4.py | JetBrains-Research/ast-transformations | 0ab408af3275b520cc87a473f418c4b4dfcb0284 | [
"MIT"
] | 4 | 2020-11-17T14:28:25.000Z | 2022-02-24T07:54:28.000Z | ast-transformations-core/src/test/resources/org/jetbrains/research/ml/ast/gumtree/tree/data/loop/for/in_4.py | nbirillo/ast-transformations | 717706765a2da29087a0de768fc851698886dd65 | [
"MIT"
] | 1 | 2022-02-23T19:16:30.000Z | 2022-02-23T19:16:30.000Z | for i in range(1, 100, 3):
pass | 17.5 | 26 | 0.571429 | for i in range(1, 100, 3):
pass | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19a82d6f900b8f0c33e556f95dff04c5745664de | 2,334 | py | Python | examples/rel_vort_ex.py | dennissergeev/pyveccalc | c5d806e41c13ff3a22e4000764326e491b7d4283 | [
"MIT"
] | 3 | 2015-05-11T01:06:17.000Z | 2015-12-11T12:16:15.000Z | examples/rel_vort_ex.py | dennissergeev/pyveccalc | c5d806e41c13ff3a22e4000764326e491b7d4283 | [
"MIT"
] | 2 | 2015-04-27T08:27:07.000Z | 2015-05-16T14:21:35.000Z | examples/rel_vort_ex.py | dennissergeev/pyveccalc | c5d806e41c13ff3a22e4000764326e491b7d4283 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Compute magnitude and relative vorticity
"""
import numpy as np
import matplotlib as mpl
mpl.rcParams['mathtext.default'] = 'regular'
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap, addcyclic
from netCDF4 import Dataset
from pyveccalc.standard import WindHorizonta... | 32.873239 | 94 | 0.67138 | # -*- coding: utf-8 -*-
"""
Compute magnitude and relative vorticity
"""
import numpy as np
import matplotlib as mpl
mpl.rcParams['mathtext.default'] = 'regular'
import matplotlib.pyplot as plt
from mpl_toolkits.basemap import Basemap, addcyclic
from netCDF4 import Dataset
from pyveccalc.standard import WindHorizonta... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c31a933e05468982f256a12e95b017ea0c4b2898 | 1,984 | py | Python | SNA/data/preprocess_ES.py | deepesch/decentralizedtrustscore | 406ac219cfa0eb37efa2bf5add484381fd78eb4a | [
"MIT"
] | null | null | null | SNA/data/preprocess_ES.py | deepesch/decentralizedtrustscore | 406ac219cfa0eb37efa2bf5add484381fd78eb4a | [
"MIT"
] | null | null | null | SNA/data/preprocess_ES.py | deepesch/decentralizedtrustscore | 406ac219cfa0eb37efa2bf5add484381fd78eb4a | [
"MIT"
] | 1 | 2020-09-06T02:53:47.000Z | 2020-09-06T02:53:47.000Z | '''Preprocess Epinions and Slashdot data'''
'''Take in text file of data, create and save adjacency matrix'''
#Preprocess data
#Optionally run normally or in test mode (when writing tests)
if __name__ == "__main__":
preprocess()
| 34.206897 | 86 | 0.677923 | '''Preprocess Epinions and Slashdot data'''
'''Take in text file of data, create and save adjacency matrix'''
import numpy as np, pickle
import scipy.sparse as sp
#Preprocess data
#Optionally run normally or in test mode (when writing tests)
def preprocess(mode = "normal"):
#FILE_PATH = "Raw Data/soc-sign-epinions.... | 0 | 0 | 0 | 0 | 0 | 1,674 | 0 | 9 | 67 |
bc141a549fb309092bd3508f3eded2771ae00a62 | 242 | py | Python | foobar-1.py | meetajain11/Neural-Networks | 07b0b8c4d8e722b1a8c3763deecff36c53728808 | [
"MIT"
] | null | null | null | foobar-1.py | meetajain11/Neural-Networks | 07b0b8c4d8e722b1a8c3763deecff36c53728808 | [
"MIT"
] | null | null | null | foobar-1.py | meetajain11/Neural-Networks | 07b0b8c4d8e722b1a8c3763deecff36c53728808 | [
"MIT"
] | null | null | null |
demo(15324) | 17.285714 | 28 | 0.438017 | def demo(area):
ans = []
while(area >= 4):
ar = int(area**0.5)
ans.append(ar*ar)
area = area-ar*ar
while(area > 0):
ans.append(1)
area = area-1
print(ans)
demo(15324) | 0 | 0 | 0 | 0 | 0 | 200 | 0 | 0 | 23 |
e24245eab1fca32b7fea62ffd5dfa3c5c2dd631a | 10,243 | py | Python | custom_components/acthor/acthor/registers.py | jatty/hass-acthor | 9d5aaed3f01e9288fef031b47b0808e6e80c22d3 | [
"MIT"
] | null | null | null | custom_components/acthor/acthor/registers.py | jatty/hass-acthor | 9d5aaed3f01e9288fef031b47b0808e6e80c22d3 | [
"MIT"
] | null | null | null | custom_components/acthor/acthor/registers.py | jatty/hass-acthor | 9d5aaed3f01e9288fef031b47b0808e6e80c22d3 | [
"MIT"
] | null | null | null | import logging
from typing import TypeVar
logger = logging.getLogger(__name__)
T = TypeVar("T")
| 24.622596 | 116 | 0.60617 | import abc
import asyncio
import datetime
import logging
from typing import Any, Coroutine, Generic, Iterable, Iterator, Tuple, TypeVar
from .abc import ABCModbusProtocol, MultiRegister, SingleRegister
logger = logging.getLogger(__name__)
T = TypeVar("T")
class ReadOnlyMixin(Generic[T], abc.ABC):
__slots__ = (... | 62 | 154 | 2,014 | 7,348 | 223 | 0 | 0 | 72 | 296 |
d5caa9127743b2e76bdcf8dc231561b1a3f77a1b | 9,631 | py | Python | pgbot/common.py | gresm/PygameCommunityBot | 0da081704baaaa6fd6464f7abe43e6ba5043952d | [
"MIT"
] | 77 | 2020-11-16T05:26:49.000Z | 2021-03-08T06:27:06.000Z | pgbot/common.py | gresm/PygameCommunityBot | 0da081704baaaa6fd6464f7abe43e6ba5043952d | [
"MIT"
] | 71 | 2021-03-19T17:51:30.000Z | 2022-02-19T12:42:19.000Z | pgbot/common.py | gresm/PygameCommunityBot | 0da081704baaaa6fd6464f7abe43e6ba5043952d | [
"MIT"
] | 19 | 2021-03-19T12:48:17.000Z | 2021-12-18T04:41:08.000Z | """
This file is a part of the source code for the PygameCommunityBot.
This project has been licensed under the MIT license.
Copyright (c) 2020-present PygameCommunityDiscord
This file defines some constants and variables used across the whole codebase
"""
import io
import os
from typing import Optional, Union
impor... | 28.921922 | 139 | 0.663586 | """
This file is a part of the source code for the PygameCommunityBot.
This project has been licensed under the MIT license.
Copyright (c) 2020-present PygameCommunityDiscord
This file defines some constants and variables used across the whole codebase
"""
import io
import os
from typing import Optional, Union
impor... | 151 | 0 | 0 | 2,268 | 0 | 0 | 0 | 0 | 23 |
6b35d0e3814027abbd9206a5231a54d20d277179 | 1,262 | py | Python | plantcv/plantcv/hyperspectral/_avg_reflectance.py | Howzit123/plantcv | b4ff6ad765da36353f40827ce3816b33d1d3596a | [
"MIT"
] | 2 | 2021-08-20T14:56:48.000Z | 2021-08-24T23:12:56.000Z | plantcv/plantcv/hyperspectral/_avg_reflectance.py | Howzit123/plantcv | b4ff6ad765da36353f40827ce3816b33d1d3596a | [
"MIT"
] | null | null | null | plantcv/plantcv/hyperspectral/_avg_reflectance.py | Howzit123/plantcv | b4ff6ad765da36353f40827ce3816b33d1d3596a | [
"MIT"
] | 1 | 2021-06-15T15:01:46.000Z | 2021-06-15T15:01:46.000Z | # Calculate masked average background reflectance
import numpy as np
def _avg_reflectance(spectral_data, mask):
""" Find average reflectance of masked hyperspectral data instance. This is useful for calculating a target
signature (n_band x 1 - column array) which is required in various GatorSense hypersp... | 34.108108 | 111 | 0.669572 | # Calculate masked average background reflectance
import numpy as np
def _avg_reflectance(spectral_data, mask):
""" Find average reflectance of masked hyperspectral data instance. This is useful for calculating a target
signature (n_band x 1 - column array) which is required in various GatorSense hypersp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dc8c9e5d8239e35faa52d813da6c2b78279456f0 | 843 | py | Python | LeetCode/LeetCode_Python-master/LeetCode_Python-master/Algorithm-Easy/14_Longest_Common_Prefix.py | Sycamore-City-passerby/ML | 605cfc70bdda2c99e5f1c16b25812b59c98a72ad | [
"MIT"
] | null | null | null | LeetCode/LeetCode_Python-master/LeetCode_Python-master/Algorithm-Easy/14_Longest_Common_Prefix.py | Sycamore-City-passerby/ML | 605cfc70bdda2c99e5f1c16b25812b59c98a72ad | [
"MIT"
] | null | null | null | LeetCode/LeetCode_Python-master/LeetCode_Python-master/Algorithm-Easy/14_Longest_Common_Prefix.py | Sycamore-City-passerby/ML | 605cfc70bdda2c99e5f1c16b25812b59c98a72ad | [
"MIT"
] | null | null | null |
if __name__ == "__main__":
print(Solution().longestCommonPrefix(["hello", "heaven", "heavy"]))
"""
Time Complexity = O(N*k), k is the length of the common prefix
Space Complexity = O(1)
Write a function to find the longest common prefix string amongst an array of strings.
... | 24.085714 | 94 | 0.52669 | class Solution:
def longestCommonPrefix(self, strs):
"""
:type strs: List[str]
:rtype: str
"""
if not strs:
return ""
for i in range(len(strs[0])):
for string in strs[1:]:
if i >= len(string) or string[i] != strs[0][i]:
... | 0 | 0 | 0 | 353 | 0 | 0 | 0 | 0 | 22 |
05ab655deb7f84c746142d1073d20e615dff176c | 1,191 | py | Python | main.py | hyeon0145/xts-aes-256 | 5f4c25cba7a9b81566635fbf2bd273ac71e1bf64 | [
"WTFPL"
] | 2 | 2017-08-21T11:11:49.000Z | 2019-02-12T09:28:45.000Z | main.py | hyeon0145/xts-aes-256 | 5f4c25cba7a9b81566635fbf2bd273ac71e1bf64 | [
"WTFPL"
] | null | null | null | main.py | hyeon0145/xts-aes-256 | 5f4c25cba7a9b81566635fbf2bd273ac71e1bf64 | [
"WTFPL"
] | 2 | 2018-09-05T09:33:19.000Z | 2019-07-12T19:36:40.000Z | import sys
import binascii
from xts_aes import XTSAES
TEXT_TYPES = {
'encryption': 'plaintext',
'decryption': 'ciphertext',
}
arguments = sys.argv[1:]
mode = 'encryption'
inverse_mode = 'decryption'
if arguments and (arguments[0] == '-d'):
mode = 'decryption'
inverse_mode = 'encryption'
key = read_h... | 27.068182 | 139 | 0.702771 | import sys
import binascii
from xts_aes import XTSAES
TEXT_TYPES = {
'encryption': 'plaintext',
'decryption': 'ciphertext',
}
def read_hex_string(name):
try:
hex_string = input('{name}: '.format(name=name))
hex_string = binascii.unhexlify(hex_string)
except binascii.Error:
sys... | 0 | 0 | 0 | 0 | 0 | 239 | 0 | 0 | 23 |
37e8351577681ea1ea7a116a7d719adb4de5025d | 74 | py | Python | bin/botocore/vendored/requests/packages/urllib3/packages/__init__.py | iilness2/bash-lambda-layer-custom | 0b054d4ccb0623460354ba1f58059258c095a494 | [
"MIT"
] | 2,177 | 2015-01-02T09:56:51.000Z | 2022-03-27T01:48:37.000Z | pip/_vendor/requests/packages/urllib3/packages/__init__.py | alex/pip | d51a4b345b31ec4c8defbefe7f12b996c00c67fa | [
"MIT"
] | 713 | 2015-11-06T10:48:58.000Z | 2018-11-27T16:32:18.000Z | pip/_vendor/requests/packages/urllib3/packages/__init__.py | alex/pip | d51a4b345b31ec4c8defbefe7f12b996c00c67fa | [
"MIT"
] | 742 | 2015-08-22T23:17:54.000Z | 2022-01-18T08:55:33.000Z | from __future__ import absolute_import
| 14.8 | 38 | 0.851351 | from __future__ import absolute_import
from . import ssl_match_hostname
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 23 |
1cd31b4890f3b6fdc7244e05a71517bd89b89233 | 48 | py | Python | napari_plot/layers/line/__init__.py | lukasz-migas/napari-1d | b0f081a8711ae941b3e4b5c58c3aea56bd0e3277 | [
"BSD-3-Clause"
] | 13 | 2021-08-27T23:01:09.000Z | 2022-03-22T13:51:35.000Z | napari_plot/layers/line/__init__.py | lukasz-migas/napari-1d | b0f081a8711ae941b3e4b5c58c3aea56bd0e3277 | [
"BSD-3-Clause"
] | 71 | 2021-08-28T13:29:17.000Z | 2022-03-28T21:22:12.000Z | napari_plot/layers/line/__init__.py | lukasz-migas/napari-1d | b0f081a8711ae941b3e4b5c58c3aea56bd0e3277 | [
"BSD-3-Clause"
] | null | null | null | """Line"""
| 16 | 36 | 0.625 | """Line"""
from .line import Line # noqa: F401
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 36 |
13c81ad5d59ddeac7225490f08cb685f14f20c5b | 1,970 | py | Python | trajectory/utils/serialization.py | SeanNobel/trajectory-transformer | b5497e992734b2320add01adbbfd26b3ee16f2d2 | [
"MIT"
] | 63 | 2021-11-23T08:00:27.000Z | 2022-03-31T04:03:05.000Z | trajectory/utils/serialization.py | SeanNobel/trajectory-transformer | b5497e992734b2320add01adbbfd26b3ee16f2d2 | [
"MIT"
] | 7 | 2021-12-08T04:01:13.000Z | 2022-03-31T07:42:37.000Z | trajectory/utils/serialization.py | SeanNobel/trajectory-transformer | b5497e992734b2320add01adbbfd26b3ee16f2d2 | [
"MIT"
] | 12 | 2021-12-13T10:55:32.000Z | 2022-03-24T09:06:22.000Z | import os
def mkdir(savepath, prune_fname=False):
"""
returns `True` iff `savepath` is created
"""
if prune_fname:
savepath = os.path.dirname(savepath)
if not os.path.exists(savepath):
try:
os.makedirs(savepath)
except:
print(f'[ utils/serializati... | 26.621622 | 89 | 0.65736 | import time
import sys
import os
import glob
import pickle
import json
import torch
import pdb
def mkdir(savepath, prune_fname=False):
"""
returns `True` iff `savepath` is created
"""
if prune_fname:
savepath = os.path.dirname(savepath)
if not os.path.exists(savepath):
try:
... | 0 | 0 | 0 | 0 | 0 | 1,323 | 0 | -69 | 269 |
1619dc70d15eabc62f53e2b1f4e694140295a184 | 12,160 | py | Python | paper/code/analysis.py | skearnes/color-features | a6af3686c82a5d1d6b68341fe5e5b16e8e4ed356 | [
"BSD-3-Clause"
] | 5 | 2016-06-07T04:17:24.000Z | 2021-05-27T07:41:57.000Z | paper/code/analysis.py | skearnes/color-features | a6af3686c82a5d1d6b68341fe5e5b16e8e4ed356 | [
"BSD-3-Clause"
] | 1 | 2018-04-28T14:40:26.000Z | 2018-05-19T21:55:47.000Z | paper/code/analysis.py | skearnes/color-features | a6af3686c82a5d1d6b68341fe5e5b16e8e4ed356 | [
"BSD-3-Clause"
] | 1 | 2018-12-06T22:54:43.000Z | 2018-12-06T22:54:43.000Z | """Analyze results.
Use the saved model output to calculate AUC and other metrics.
"""
import collections
import cPickle as pickle
import gflags as flags
import gzip
import logging
import numpy as np
import os
import pandas as pd
from sklearn import metrics
from statsmodels.stats import proportion
import sys
flags.D... | 35.870206 | 80 | 0.565789 | """Analyze results.
Use the saved model output to calculate AUC and other metrics.
"""
import collections
import cPickle as pickle
import gflags as flags
import gzip
import logging
import numpy as np
import os
import pandas as pd
from sklearn import metrics
from statsmodels.stats import proportion
import sys
flags.D... | 0 | 0 | 0 | 0 | 0 | 3,768 | 0 | 0 | 92 |
c49431bc20102646a020c6ae047aba4f99d141c1 | 992 | py | Python | cgi-bin/reset_svg.py | errollw/smartboards | c511d4aff8a907e9a07065f7dee1b07f34d8fecd | [
"MIT"
] | 4 | 2018-06-14T12:19:37.000Z | 2022-02-08T18:36:37.000Z | cgi-bin/reset_svg.py | errollw/smartboards | c511d4aff8a907e9a07065f7dee1b07f34d8fecd | [
"MIT"
] | null | null | null | cgi-bin/reset_svg.py | errollw/smartboards | c511d4aff8a907e9a07065f7dee1b07f34d8fecd | [
"MIT"
] | 2 | 2017-02-16T14:21:02.000Z | 2020-05-16T08:21:43.000Z | #!/usr/bin/env python
import cgi
import os
from utils import simple_success_response_JSON
from shutil import copyfile
args = cgi.FieldStorage()
u_id = args['u_id'].value
### Check if SVG exists for each user. If it doesn't, create one
### ------------------------------------------------------------
svg_pat... | 32 | 76 | 0.623992 | #!/usr/bin/env python
import cgi
import os
from utils import simple_success_response_JSON
from shutil import copyfile
args = cgi.FieldStorage()
u_id = args['u_id'].value
### Check if SVG exists for each user. If it doesn't, create one
### ------------------------------------------------------------
svg_pat... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3cf445961c7fbec62141706a180b03f1a5a6c68c | 1,671 | py | Python | bioprocs/scripts/tsv/pTsvColFilter.py | pwwang/biopipen | d53b78aa192fd56a5da457463b099b2aa833b284 | [
"MIT"
] | 2 | 2021-09-10T00:17:52.000Z | 2021-10-10T09:53:09.000Z | bioprocs/scripts/tsv/pTsvColFilter.py | pwwang/biopipen | d53b78aa192fd56a5da457463b099b2aa833b284 | [
"MIT"
] | 1 | 2021-12-02T07:54:09.000Z | 2021-12-02T07:54:09.000Z | bioprocs/scripts/tsv/pTsvColFilter.py | pwwang/biopipen | d53b78aa192fd56a5da457463b099b2aa833b284 | [
"MIT"
] | 2 | 2021-09-10T00:17:54.000Z | 2021-10-10T09:56:40.000Z | from os import path
from pyppl.utils import alwaysList
from bioprocs.utils.tsvio2 import TsvReader, TsvWriter
infile = {{i.infile | quote}}
colfile = {{i.colfile | quote}}
outfile = {{o.outfile | quote}}
inopts = {{args.inopts | repr}}
cols = {{args.cols | repr}}
keep = {{args.keep | repr}}
from_file = False
... | 29.315789 | 92 | 0.707361 | from os import path
from collections import OrderedDict
from diot import Diot
from pyppl.utils import alwaysList
from bioprocs.utils.tsvio2 import TsvReader, TsvWriter
infile = {{i.infile | quote}}
colfile = {{i.colfile | quote}}
outfile = {{o.outfile | quote}}
inopts = {{args.inopts | repr}}
cols = {{args.cols |... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 44 |
078d96e72eb252112b59995c7c4436d0430ccb52 | 7,510 | py | Python | quantfig.py | zmoxq/quantfig | 0bd9df3a936569c38b4d7cffe47ff7eb4de2544a | [
"MIT"
] | null | null | null | quantfig.py | zmoxq/quantfig | 0bd9df3a936569c38b4d7cffe47ff7eb4de2544a | [
"MIT"
] | null | null | null | quantfig.py | zmoxq/quantfig | 0bd9df3a936569c38b4d7cffe47ff7eb4de2544a | [
"MIT"
] | null | null | null | import plotly.graph_objects as go
import numpy as np
def line_fig(date, y_axis, y_dict):
"""
:param date: xaxis,
:param y_label: yaxis label e.g. 'y2','y3'
:param y_dict: line data
:return: list
"""
y_values = [list(k) for k in y_dict.values()]
y_labels = [l for l in y_dict.keys()]
... | 27.509158 | 102 | 0.488815 | from app.signal_calc import SignalCalc
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import math
import numpy as np
import pandas as pd
def line_fig(date, y_axis, y_dict):
"""
:param date: xaxis,
:param y_label: yaxis label e.g. 'y2','y3'
:param y_dict: line data
:ret... | 0 | 0 | 0 | 6,691 | 0 | 0 | 0 | 25 | 111 |
5a882d3d8363079955e3ebfe7587ce3969adff5a | 13,368 | py | Python | app.py | aarunishsinha/Course-Management-System | 80364ffd1c7f6110da9687d9c24f146ab45180f9 | [
"MIT"
] | 2 | 2022-02-14T04:31:06.000Z | 2022-03-01T18:26:07.000Z | app.py | aarunishsinha/Course_Management_System | 80364ffd1c7f6110da9687d9c24f146ab45180f9 | [
"MIT"
] | null | null | null | app.py | aarunishsinha/Course_Management_System | 80364ffd1c7f6110da9687d9c24f146ab45180f9 | [
"MIT"
] | 1 | 2022-02-14T04:31:08.000Z | 2022-02-14T04:31:08.000Z | from flask import Flask
import psycopg2
# import students
from students import studentRoutes
from Admin import adminRoutes
# import nltk
# import numpy as np
# import pandas as pd
# conn = psycopg2.connect('dbname=postgres')
conn = psycopg2.connect('dbname=group_13 user=group_13 password=p0XvR8Ch4BAGb host=10.17.50.23... | 33.503759 | 242 | 0.596349 | from flask import Flask, render_template, send_from_directory, request, redirect, url_for
import os
import psycopg2
# import students
from students import studentRoutes
from Admin import adminRoutes
# import nltk
# import numpy as np
# import pandas as pd
# conn = psycopg2.connect('dbname=postgres')
conn = psycopg2.co... | 0 | 12,066 | 0 | 0 | 0 | 0 | 0 | 54 | 275 |
8e54a2ad2d5ce89659043e4f426413cb107524f6 | 1,447 | py | Python | setup.py | vznncv/vznncv-miniterm | a5999744435350304e26c4b4c97f7a999b2e5abd | [
"MIT"
] | 1 | 2022-02-17T20:23:12.000Z | 2022-02-17T20:23:12.000Z | setup.py | vznncv/vznncv-miniterm | a5999744435350304e26c4b4c97f7a999b2e5abd | [
"MIT"
] | null | null | null | setup.py | vznncv/vznncv-miniterm | a5999744435350304e26c4b4c97f7a999b2e5abd | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import re
from setuptools import setup, find_namespace_packages
project_name = 'vznncv-miniterm'
with open('README.md') as readme_file:
readme = readme_file.read()
readme = re.sub(r'!\[[^\[\]]*\]\S*', '', readme)
_locals = {}
with open('src/' + project_name.replace(... | 27.826923 | 74 | 0.624741 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import re
from setuptools import setup, find_namespace_packages
project_name = 'vznncv-miniterm'
with open('README.md') as readme_file:
readme = readme_file.read()
readme = re.sub(r'!\[[^\[\]]*\]\S*', '', readme)
_locals = {}
with open('src/' + project_name.replace(... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b7625fb779461162066385c07a1a8355c1818475 | 4,187 | py | Python | tinkycare.py | m-clare/tinky-care | a2c7831d9f6908949265d51708d5d27fe89901ff | [
"MIT"
] | 5 | 2021-04-08T23:55:13.000Z | 2021-11-23T19:30:47.000Z | tinkycare.py | m-clare/tinky-care | a2c7831d9f6908949265d51708d5d27fe89901ff | [
"MIT"
] | null | null | null | tinkycare.py | m-clare/tinky-care | a2c7831d9f6908949265d51708d5d27fe89901ff | [
"MIT"
] | null | null | null | from inky.inky_uc8159 import Inky
from datetime import datetime as dt
# Inky display information
inky_display = Inky() # Global because only one inky to pass around...
DESATURATED_PALETTE = (
0,
0,
0,
255,
255,
255,
0,
255,
0,
0,
0,
255,
255,
0,
0,
255,... | 23.522472 | 85 | 0.583711 | import os
import json
from PIL import Image, ImageDraw, ImageFont
from inky.inky_uc8159 import Inky
from datetime import datetime as dt
from bots.orgbot import get_org_image
from bots.twitterbot import get_tweet_img
from bots.twitterbot import get_recent_care_tweet
from bots.pomodorobot import get_pomodoro_time
from bo... | 0 | 0 | 0 | 0 | 0 | 2,496 | 0 | 152 | 335 |
ceedc8ffab527acf38eb4912b4ec135b78d4964d | 6,473 | py | Python | loss/loss_functions.py | akio-kobayashi/acoustic_scene | b4d0678474d1b0dde4478a1710aa489e2ffad875 | [
"Apache-2.0"
] | null | null | null | loss/loss_functions.py | akio-kobayashi/acoustic_scene | b4d0678474d1b0dde4478a1710aa489e2ffad875 | [
"Apache-2.0"
] | null | null | null | loss/loss_functions.py | akio-kobayashi/acoustic_scene | b4d0678474d1b0dde4478a1710aa489e2ffad875 | [
"Apache-2.0"
] | null | null | null | import tensorflow as tf
import keras.backend as K
'''
Cauchy-Schwarz distance between 2 samples
The distance measures 'distinguishability' between samples.
So, if 2 samples belong to same class, the distance would have a small value.
'''
'''
Compute Cauchy-Schwarz distance loss among samples in the ba... | 35.762431 | 113 | 0.663525 | import numpy as np
import tensorflow as tf
import keras.backend as K
'''
Cauchy-Schwarz distance between 2 samples
The distance measures 'distinguishability' between samples.
So, if 2 samples belong to same class, the distance would have a small value.
'''
def cauchy_schwarz_distance(logits1, logits2, cros... | 0 | 0 | 0 | 0 | 0 | 5,272 | 0 | -3 | 455 |
c717da8e40954a97b84dcdb68eb545035fb322a9 | 1,925 | py | Python | wolk/data.py | bverhoeve/wolk | 61e63c535cac38a2e6026ae48765d8ede4787404 | [
"MIT"
] | 1 | 2020-05-31T17:38:19.000Z | 2020-05-31T17:38:19.000Z | wolk/data.py | bverhoeve/wolk | 61e63c535cac38a2e6026ae48765d8ede4787404 | [
"MIT"
] | 7 | 2020-05-18T13:06:57.000Z | 2020-06-01T17:44:52.000Z | wolk/data.py | bverhoeve/wolk | 61e63c535cac38a2e6026ae48765d8ede4787404 | [
"MIT"
] | null | null | null | import os
import logging
from .constants import (DATA_DIR, AWS_DIR, AZURE_DIR, GCP_DIR)
# Initialisation of data directory
if not os.path.exists(DATA_DIR):
logging.debug('No data directories yet, creating')
aws_path: str = os.path.join(DATA_DIR, AWS_DIR)
azure_path: str = os.path.join(DATA_DIR, AZURE_DIR)... | 33.189655 | 82 | 0.66026 | import os
import json
import boto3
import logging
from .constants import (
DATA_DIR,
S3_BUCKET,
AWS_DIR,
AWS_EC2_FILE,
AWS_RDS_FILE,
AZURE_DIR,
GCP_DIR
)
# Initialisation of data directory
if not os.path.exists(DATA_DIR):
logging.debug('No data directories yet, creating')
aws_path:... | 0 | 0 | 0 | 0 | 0 | 1,276 | 0 | 50 | 102 |
5c1091d48c8e0c9de6e93e70cfd744804701c5be | 51,872 | py | Python | parinfer.py | oakmac/sublime-text-parinfer | 42b5e43591c415aaab331d07c820f073780df64a | [
"ISC"
] | 58 | 2015-11-20T09:54:43.000Z | 2022-01-11T07:17:56.000Z | parinfer.py | oakmac/sublime-text-parinfer | 42b5e43591c415aaab331d07c820f073780df64a | [
"ISC"
] | 38 | 2015-11-21T23:02:00.000Z | 2021-03-22T15:13:11.000Z | parinfer.py | oakmac/sublime-text-parinfer | 42b5e43591c415aaab331d07c820f073780df64a | [
"ISC"
] | 10 | 2015-12-03T02:42:01.000Z | 2020-08-16T15:02:45.000Z | ## Parinfer.py - a Parinfer implementation in Python
## v3.12.0
## https://github.com/oakmac/parinfer.py
##
## More information about Parinfer can be found here:
## http://shaunlebron.github.io/parinfer/
##
## Copyright (c) 2015, 2020, Chris Oakman and other contributors
## Released under the ISC license
## https://git... | 36.32493 | 158 | 0.564486 | ## Parinfer.py - a Parinfer implementation in Python
## v3.12.0
## https://github.com/oakmac/parinfer.py
##
## More information about Parinfer can be found here:
## http://shaunlebron.github.io/parinfer/
##
## Copyright (c) 2015, 2020, Chris Oakman and other contributors
## Released under the ISC license
## https://git... | 0 | 0 | 0 | 13,136 | 0 | 29,843 | 0 | -11 | 1,694 |
4453f078b7d3b2fd4ad81bf82d4df1d74c857f5d | 392 | py | Python | testemunhoweb/cadastro/migrations/0010_auto_20181223_2252.py | danielcamilo13/testemunhoWEB | 46825e31123058fa6ee21e4e71e9e0bedde32bb4 | [
"bzip2-1.0.6"
] | 1 | 2019-12-03T01:37:13.000Z | 2019-12-03T01:37:13.000Z | testemunhoweb/cadastro/migrations/0010_auto_20181223_2252.py | danielcamilo13/testemunhoWEB | 46825e31123058fa6ee21e4e71e9e0bedde32bb4 | [
"bzip2-1.0.6"
] | 11 | 2020-06-06T01:28:35.000Z | 2022-03-12T00:16:34.000Z | testemunhoweb/cadastro/migrations/0010_auto_20181223_2252.py | danielcamilo13/testemunhoWEB | 46825e31123058fa6ee21e4e71e9e0bedde32bb4 | [
"bzip2-1.0.6"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.17 on 2018-12-24 00:52
from __future__ import unicode_literals
| 19.6 | 49 | 0.612245 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.17 on 2018-12-24 00:52
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('cadastro', '0009_auto_20181215_0042'),
]
operations = [
migrations.RenameModel(
... | 0 | 0 | 0 | 220 | 0 | 0 | 0 | 11 | 46 |
0769c7ed667e125bb1a20f8fc98707bcd2e4d8af | 3,435 | py | Python | custom_components/nest_protect/select.py | rubicon/ha-nest-protect | 4f6ddf12e8384472eff29274c21462b028fe7f85 | [
"MIT"
] | 78 | 2022-01-15T23:08:29.000Z | 2022-03-31T19:58:17.000Z | custom_components/nest_protect/select.py | rubicon/ha-nest-protect | 4f6ddf12e8384472eff29274c21462b028fe7f85 | [
"MIT"
] | 33 | 2022-01-15T20:03:18.000Z | 2022-03-31T23:38:34.000Z | custom_components/nest_protect/select.py | rubicon/ha-nest-protect | 4f6ddf12e8384472eff29274c21462b028fe7f85 | [
"MIT"
] | 10 | 2022-01-29T23:14:10.000Z | 2022-03-22T12:33:52.000Z | """Select platform for Nest Protect."""
from __future__ import annotations
from homeassistant.components.select import SelectEntityDescription
from homeassistant.helpers.entity import EntityCategory
from .entity import NestProtectDeviceClass
BRIGHTNESS_TO_PRESET: dict[str, str] = {1: "low", 2: "medium", 3: "high"}... | 30.945946 | 85 | 0.676274 | """Select platform for Nest Protect."""
from __future__ import annotations
from dataclasses import dataclass
from homeassistant.components.select import SelectEntity, SelectEntityDescription
from homeassistant.helpers.entity import EntityCategory
from . import HomeAssistantNestProtectData
from .const import DOMAIN, ... | 0 | 688 | 1,530 | 226 | 0 | 0 | 0 | 82 | 160 |
d95dd702b9c2c9ec191644d22f8b6dfb6585324e | 996 | py | Python | 1Dec/listComprehension.py | universekavish/Python-Training | ccd7dfbc8802662de0e0fc20fe99bb3aae4c6e18 | [
"Apache-2.0"
] | null | null | null | 1Dec/listComprehension.py | universekavish/Python-Training | ccd7dfbc8802662de0e0fc20fe99bb3aae4c6e18 | [
"Apache-2.0"
] | null | null | null | 1Dec/listComprehension.py | universekavish/Python-Training | ccd7dfbc8802662de0e0fc20fe99bb3aae4c6e18 | [
"Apache-2.0"
] | null | null | null | L = [10, 11, 12, 13, 14, 15, 16, 17, 18]
print(L)
L1 = [x for x in L if x % 2 == 0]
print(L1)
ip = '10.20.30.40'
octets = ip.split('.')
print(octets)
octets = [int(octet) for octet in octets]
print(octets)
import random
primesPositions = [p for p in range(100) if isPrime(random.randint(1, 1000))]
print(primesPosit... | 21.652174 | 108 | 0.629518 | L = [10, 11, 12, 13, 14, 15, 16, 17, 18]
print(L)
L1 = [x for x in L if x % 2 == 0]
print(L1)
ip = '10.20.30.40'
octets = ip.split('.')
print(octets)
octets = [int(octet) for octet in octets]
print(octets)
def isPrime(n) :
if n < 2 : return False
i = 2
while i < n :
if n % i == 0 : return False
i = i + 1
re... | 0 | 0 | 0 | 308 | 0 | 98 | 0 | 0 | 46 |
cc313e270c4f537f465b4dd917ff496c05ef36f3 | 3,175 | py | Python | awwards/migrations/0001_initial.py | Nkurumwa/API-project | 452c3c259f46ab60d62f47d740a2eb15db694768 | [
"MIT"
] | null | null | null | awwards/migrations/0001_initial.py | Nkurumwa/API-project | 452c3c259f46ab60d62f47d740a2eb15db694768 | [
"MIT"
] | 3 | 2020-06-06T00:10:58.000Z | 2021-06-10T22:29:21.000Z | awwards/migrations/0001_initial.py | Nkurumwa/API-project | 452c3c259f46ab60d62f47d740a2eb15db694768 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.11.26 on 2019-11-25 21:03
from __future__ import unicode_literals
import django.core.validators
import django.db.models.deletion
| 46.014493 | 129 | 0.607559 | # -*- coding: utf-8 -*-
# Generated by Django 1.11.26 on 2019-11-25 21:03
from __future__ import unicode_literals
from django.conf import settings
import django.core.validators
from django.db import migrations, models
import django.db.models.deletion
import django.utils.timezone
class Migration(migrations.Migration)... | 0 | 0 | 0 | 2,870 | 0 | 0 | 0 | 37 | 90 |
15622877fb0c7c997c9035ab265bc41c3504cd1d | 1,390 | py | Python | python_codes/generators_.py | naikshubham/Miscellaneous-ML-and-Python | a7be5cf5ac95085d3becc554593ee45f93f7850f | [
"BSD-2-Clause"
] | 1 | 2021-06-15T09:57:47.000Z | 2021-06-15T09:57:47.000Z | python_codes/generators_.py | naikshubham/Miscellaneous-ML-and-Python | a7be5cf5ac95085d3becc554593ee45f93f7850f | [
"BSD-2-Clause"
] | null | null | null | python_codes/generators_.py | naikshubham/Miscellaneous-ML-and-Python | a7be5cf5ac95085d3becc554593ee45f93f7850f | [
"BSD-2-Clause"
] | null | null | null |
print(join(capitalize("this will be uppercase text")))
print(join(leetspeak("This isn't a leetspeak")))
print(join(hypenate("will be hypenated by letters")))
print(join(hypenate("will be hypenated by words".split())))
# next() and send()
free = psychologist()
print('free->', free)
print('next->', next(... | 26.730769 | 72 | 0.570504 | def capitalize(values):
# print(values)
for value in values:
# print(value)
yield value.upper()
def hypenate(values):
# print(values)
for value in values:
yield f"-{value}-"
def leetspeak(values):
for value in values:
if value in {'t', 'T'}:
yield '7'
... | 0 | 0 | 0 | 0 | 747 | 41 | 0 | 0 | 114 |
0c0b703bd0d03b86650c5ce280e2f3295cc83afa | 4,897 | py | Python | mri/dispatch/MatplotlibDispatch.py | Mri-monitoring/Mri-python-client | 7ff4889c198d22b9d78b7f0ba8711efa71aef16b | [
"Apache-2.0"
] | 4 | 2015-07-16T16:41:50.000Z | 2015-08-13T09:53:30.000Z | mri/dispatch/MatplotlibDispatch.py | Mri-monitoring/Mri-python-client | 7ff4889c198d22b9d78b7f0ba8711efa71aef16b | [
"Apache-2.0"
] | 4 | 2015-07-16T16:09:37.000Z | 2015-08-18T19:38:19.000Z | mri/dispatch/MatplotlibDispatch.py | Mri-monitoring/Mri-python-client | 7ff4889c198d22b9d78b7f0ba8711efa71aef16b | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from future import standard_library
standard_library.install_aliases()
import logging
try:
IMPORTED = True
except Exception as e:
logging.warning('Failed to impor... | 36.544776 | 109 | 0.559526 | from __future__ import unicode_literals
from __future__ import print_function
from __future__ import division
from __future__ import absolute_import
from builtins import super
from future import standard_library
standard_library.install_aliases()
import logging
import os
import errno
from .BaseDispatch import BaseDisp... | 0 | 0 | 0 | 4,205 | 0 | 0 | 0 | 8 | 164 |
c8beb2fef2a90dce4e6cacc257c60abd209a38cc | 2,186 | py | Python | prototype/speed/rpcsize.py | ooici/pyon | 122c629290d27f32f2f41dafd5c12469295e8acf | [
"BSD-2-Clause"
] | 2 | 2015-06-09T16:07:09.000Z | 2015-07-28T10:06:31.000Z | prototype/speed/rpcsize.py | ooici/pyon | 122c629290d27f32f2f41dafd5c12469295e8acf | [
"BSD-2-Clause"
] | 3 | 2020-07-22T15:14:55.000Z | 2021-12-13T19:35:06.000Z | prototype/speed/rpcsize.py | ooici/pyon | 122c629290d27f32f2f41dafd5c12469295e8acf | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
from pyon.net.endpoint import RPCClient
#from interface.services.idatastore_service import IDatastoreService
from interface.services.ihello_service import IHelloService
from pyon.net.messaging import make_node
import gevent
import time
import base64
import os
import argparse
import msgpack
parse... | 25.717647 | 92 | 0.68893 | #!/usr/bin/env python
from pyon.net.endpoint import RPCClient
#from interface.services.idatastore_service import IDatastoreService
from interface.services.ihello_service import IHelloService
from pyon.net.messaging import make_node
import gevent
import time
import base64
import os
import argparse
import msgpack
parse... | 0 | 0 | 0 | 0 | 0 | 531 | 0 | 0 | 69 |
7001a2aafe77e80e908cb64a736dd79539290346 | 7,957 | py | Python | packages/connections/gym/connection.py | mattmcd/aea-examples | 1c72faadf8feb9f4b8dda9f17995010c2fb3510e | [
"Apache-2.0"
] | null | null | null | packages/connections/gym/connection.py | mattmcd/aea-examples | 1c72faadf8feb9f4b8dda9f17995010c2fb3510e | [
"Apache-2.0"
] | null | null | null | packages/connections/gym/connection.py | mattmcd/aea-examples | 1c72faadf8feb9f4b8dda9f17995010c2fb3510e | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2019 Fetch.AI Limited
#
# 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... | 32.214575 | 153 | 0.607892 | # -*- coding: utf-8 -*-
# ------------------------------------------------------------------------------
#
# Copyright 2018-2019 Fetch.AI Limited
#
# 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... | 0 | 685 | 0 | 5,861 | 0 | 0 | 0 | 144 | 312 |
60b4412d890e1f04c1d7d9dcd011193caca13c37 | 3,404 | py | Python | scripts/find_clusters.py | camillemarie/ncov | 6084ab1f42a36cfba6f8198c4f38047737072d06 | [
"MIT"
] | 1 | 2022-02-06T20:23:03.000Z | 2022-02-06T20:23:03.000Z | scripts/find_clusters.py | camillemarie/ncov | 6084ab1f42a36cfba6f8198c4f38047737072d06 | [
"MIT"
] | 1 | 2022-03-01T00:02:11.000Z | 2022-03-01T00:08:15.000Z | scripts/find_clusters.py | camillemarie/ncov | 6084ab1f42a36cfba6f8198c4f38047737072d06 | [
"MIT"
] | 1 | 2022-01-11T17:46:29.000Z | 2022-01-11T17:46:29.000Z | #!/usr/bin/env python3
import argparse
from augur.utils import read_tree, read_node_data, read_metadata
from collections import Counter
import csv
import hashlib
MAX_HASH_LENGTH = 7
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Find polytomies in a given tree that all belong t... | 39.126437 | 134 | 0.61134 | #!/usr/bin/env python3
import argparse
from augur.utils import read_tree, read_node_data, read_metadata
from collections import Counter
import csv
import hashlib
MAX_HASH_LENGTH = 7
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Find polytomies in a given tree that all belong t... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fe7269f61e6da28d4bef240e6beb92eb1df6c19b | 1,486 | py | Python | newstream/settings/docker.py | diffractive/newstream | cf1a1f230e18d01c63b50ab9d360aa44ac5a486f | [
"MIT"
] | 1 | 2020-05-03T12:33:42.000Z | 2020-05-03T12:33:42.000Z | newstream/settings/docker.py | diffractive/newstream | cf1a1f230e18d01c63b50ab9d360aa44ac5a486f | [
"MIT"
] | 14 | 2020-07-06T20:05:57.000Z | 2022-03-12T00:39:11.000Z | newstream/settings/docker.py | diffractive/newstream | cf1a1f230e18d01c63b50ab9d360aa44ac5a486f | [
"MIT"
] | null | null | null |
ALLOWED_HOSTS = [
"*"
]
SECRET_KEY = os.environ.get("SECERT_KEY", "dummykey")
DATABASE_NAME = os.environ.get("DATABASE_NAME", "newstream")
DATABASE_USER = os.environ.get("DATABASE_USER", "newstream")
DATABASE_HOST = os.environ.get("DATABASE_HOST", "")
DATABASE_PORT = os.environ.get("DATABASE_PORT", "")
DATABASE_P... | 23.587302 | 70 | 0.571332 | from .base import *
ALLOWED_HOSTS = [
"*"
]
SECRET_KEY = os.environ.get("SECERT_KEY", "dummykey")
DATABASE_NAME = os.environ.get("DATABASE_NAME", "newstream")
DATABASE_USER = os.environ.get("DATABASE_USER", "newstream")
DATABASE_HOST = os.environ.get("DATABASE_HOST", "")
DATABASE_PORT = os.environ.get("DATABASE_P... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -3 | 48 |
4863ce321508a73286127e64fdef95c188d41618 | 564 | py | Python | app/settings/views.py | dev-johnlopez/assignably-old | 99f550e3e970a979234a724097ed8c940f1562c1 | [
"MIT"
] | null | null | null | app/settings/views.py | dev-johnlopez/assignably-old | 99f550e3e970a979234a724097ed8c940f1562c1 | [
"MIT"
] | null | null | null | app/settings/views.py | dev-johnlopez/assignably-old | 99f550e3e970a979234a724097ed8c940f1562c1 | [
"MIT"
] | null | null | null | from flask import Blueprint
bp = Blueprint('settings', __name__)
#@bp.before_app_request
#def before_request():
# g.search_form = SearchForm()
| 29.684211 | 76 | 0.696809 | from flask import Blueprint, g, render_template, redirect, url_for, g, flash
from flask_security import current_user, login_required, current_user
from app import db
bp = Blueprint('settings', __name__)
#@bp.before_app_request
#def before_request():
# g.search_form = SearchForm()
@bp.route('/index', methods=['GET... | 0 | 255 | 0 | 0 | 0 | 0 | 0 | 94 | 67 |
cc23049acceaadcf9842b0dcc4a63b1ab589941e | 1,269 | py | Python | day2.py | Zinko17/FP | f3a8f542a710c3acafbc6d6ac6acd275dd34e653 | [
"MIT"
] | null | null | null | day2.py | Zinko17/FP | f3a8f542a710c3acafbc6d6ac6acd275dd34e653 | [
"MIT"
] | null | null | null | day2.py | Zinko17/FP | f3a8f542a710c3acafbc6d6ac6acd275dd34e653 | [
"MIT"
] | null | null | null | # a = int(input())
# b = int(input())
# if a < b:
# print('a')
# else:
# print('b')
# password = input('enter password:')
# check_password = input('confirm password:')
# if password == check_password and len(password) >=8:
# print('Succesful')
# else:
# if len(password)>= 8:
# print('password don... | 13.645161 | 54 | 0.501182 | # a = int(input())
# b = int(input())
# if a < b:
# print('a')
# else:
# print('b')
# password = input('enter password:')
# check_password = input('confirm password:')
# if password == check_password and len(password) >=8:
# print('Succesful')
# else:
# if len(password)>= 8:
# print('password don... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
db183d5d9240100317028197380a0bf0c8249960 | 542 | py | Python | pathogen_memo/views/index.py | NajlaBioinfo/pathogen_memo_app | 426a0ef545ffc96da8c6fc1bca5eb19caaf1879c | [
"MIT"
] | null | null | null | pathogen_memo/views/index.py | NajlaBioinfo/pathogen_memo_app | 426a0ef545ffc96da8c6fc1bca5eb19caaf1879c | [
"MIT"
] | 3 | 2021-09-03T10:33:09.000Z | 2022-03-12T00:17:18.000Z | pathogen_memo/views/index.py | NajlaBioinfo/pathogen_memo_app | 426a0ef545ffc96da8c6fc1bca5eb19caaf1879c | [
"MIT"
] | null | null | null | from flask import Blueprint
#Set word_count_site_name
indexv = Blueprint('indexv', __name__)
| 22.583333 | 73 | 0.761993 | from flask import Blueprint, render_template
from sys import version
from flask import Flask, jsonify
from pathogen_memo.controllers import getallquery
#Set word_count_site_name
indexv = Blueprint('indexv', __name__)
@indexv.route('/')
def index():
tablename = 'pathogens'
data_index = getallquery.gethemall(ta... | 0 | 297 | 0 | 0 | 0 | 0 | 0 | 58 | 90 |
87a07ddd5aaead0e0d702a3e591e624c393f2c25 | 1,061 | py | Python | bin/fasta_unwrap.py | nyoungb2/seq_tools | 8d93ad3fa2340c908e67830a2362fba6d2c47fbb | [
"MIT"
] | null | null | null | bin/fasta_unwrap.py | nyoungb2/seq_tools | 8d93ad3fa2340c908e67830a2362fba6d2c47fbb | [
"MIT"
] | null | null | null | bin/fasta_unwrap.py | nyoungb2/seq_tools | 8d93ad3fa2340c908e67830a2362fba6d2c47fbb | [
"MIT"
] | 1 | 2018-06-25T19:34:47.000Z | 2018-06-25T19:34:47.000Z | #!/usr/bin/env python
"""
fasta_unwrap: hard-wrapped fastas unwrapped (sequence is just 1 line)
Usage:
fasta_unwrap <fasta> | [-]
fasta_unwrap -h | --help
fasta_unwrap --version
Options:
<fasta> Fasta file name ('-' if from STDIN).
-h --help Show this screen.
--version Show version.
Descri... | 18.946429 | 69 | 0.637135 | #!/usr/bin/env python
"""
fasta_unwrap: hard-wrapped fastas unwrapped (sequence is just 1 line)
Usage:
fasta_unwrap <fasta> | [-]
fasta_unwrap -h | --help
fasta_unwrap --version
Options:
<fasta> Fasta file name ('-' if from STDIN).
-h --help Show this screen.
--version Show version.
Descri... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
56ceee4a1208e349f997d03840c35c70dbf57a9b | 632 | py | Python | dialogue-engine/test/integration/programy/clients/events/tcpsocket/socket_client.py | cotobadesign/cotoba-agent-oss | 3833d56e79dcd7529c3e8b3a3a8a782d513d9b12 | [
"MIT"
] | 104 | 2020-03-30T09:40:00.000Z | 2022-03-06T22:34:25.000Z | dialogue-engine/test/integration/programy/clients/events/tcpsocket/socket_client.py | cotobadesign/cotoba-agent-oss | 3833d56e79dcd7529c3e8b3a3a8a782d513d9b12 | [
"MIT"
] | 25 | 2020-06-12T01:36:35.000Z | 2022-02-19T07:30:44.000Z | dialogue-engine/test/integration/programy/clients/events/tcpsocket/socket_client.py | cotobadesign/cotoba-agent-oss | 3833d56e79dcd7529c3e8b3a3a8a782d513d9b12 | [
"MIT"
] | 10 | 2020-04-02T23:43:56.000Z | 2021-05-14T13:47:01.000Z | # client.py
import socket
import sys
import json
host = sys.argv[1]
port = int(sys.argv[2])
question = sys.argv[3]
userid = sys.argv[4]
max_size = 1024
if len(sys.argv) == 6:
max_size = sys.argv[5]
payload = {"question": question, "userid": userid}
json_data = json.dumps(payload)
# create a socket object
s = soc... | 19.151515 | 53 | 0.702532 | # client.py
import socket
import sys
import json
host = sys.argv[1]
port = int(sys.argv[2])
question = sys.argv[3]
userid = sys.argv[4]
max_size = 1024
if len(sys.argv) == 6:
max_size = sys.argv[5]
payload = {"question": question, "userid": userid}
json_data = json.dumps(payload)
# create a socket object
s = soc... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3a03c336149f763ec2aca84dddb3492afa302a34 | 3,462 | py | Python | assets/psutil/get_sys_info.py | OrceBR/HercAdminTool | 4db13c88094493ccb75d9e74342c49e5c27d95d2 | [
"MIT"
] | 2 | 2021-04-08T05:06:20.000Z | 2021-07-22T00:42:50.000Z | assets/psutil/get_sys_info.py | OrceBR/HercAdminTool | 4db13c88094493ccb75d9e74342c49e5c27d95d2 | [
"MIT"
] | null | null | null | assets/psutil/get_sys_info.py | OrceBR/HercAdminTool | 4db13c88094493ccb75d9e74342c49e5c27d95d2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# This script ships with HAT, or HercAdminTool.
# Please see our project here: https://github.com/jguy1987/HercAdminTool
# Author: Jguy - John Mish
# The MIT license covers this file. Please see applicable license file here: https://github.com/jguy1987/HercAdminTool/blob/master/license.txt
# You ... | 29.589744 | 142 | 0.697574 | #!/usr/bin/env python
# This script ships with HAT, or HercAdminTool.
# Please see our project here: https://github.com/jguy1987/HercAdminTool
# Author: Jguy - John Mish
# The MIT license covers this file. Please see applicable license file here: https://github.com/jguy1987/HercAdminTool/blob/master/license.txt
# You ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 |
8af60fffa531510aaf431b7e15d750205843a7fd | 1,163 | py | Python | companies/urls.py | Ins-V/wc_crm | 5d75907bb48e892328712ed0b2cf96b9083239aa | [
"MIT"
] | null | null | null | companies/urls.py | Ins-V/wc_crm | 5d75907bb48e892328712ed0b2cf96b9083239aa | [
"MIT"
] | null | null | null | companies/urls.py | Ins-V/wc_crm | 5d75907bb48e892328712ed0b2cf96b9083239aa | [
"MIT"
] | null | null | null | from django.urls import path
from companies import views
app_name = 'company'
urlpatterns = [
path('contacts/', views.CompanyContactsView.as_view(), name='contacts'),
path('phone/list/', views.CompanyPhoneListView.as_view(), name='phone_list'),
path('phone/add/', views.CompanyPhoneCreateView.as_view(), n... | 52.863636 | 96 | 0.705933 | from django.urls import path
from companies import views
app_name = 'company'
urlpatterns = [
path('contacts/', views.CompanyContactsView.as_view(), name='contacts'),
path('phone/list/', views.CompanyPhoneListView.as_view(), name='phone_list'),
path('phone/add/', views.CompanyPhoneCreateView.as_view(), n... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6aec30f308acb1094dc090358d4839af6529207e | 768 | py | Python | aaulan/models/crew_member.py | AAULAN/aaulan2.0 | f0400914fe9e126a2dbf94cbce78cc34f976f3b8 | [
"MIT"
] | null | null | null | aaulan/models/crew_member.py | AAULAN/aaulan2.0 | f0400914fe9e126a2dbf94cbce78cc34f976f3b8 | [
"MIT"
] | null | null | null | aaulan/models/crew_member.py | AAULAN/aaulan2.0 | f0400914fe9e126a2dbf94cbce78cc34f976f3b8 | [
"MIT"
] | null | null | null | from django.contrib import admin
admin.site.register(CrewMember, CrewMemberAdmin)
| 24.774194 | 72 | 0.692708 | from django.conf import settings
from django.db import models
from django.contrib import admin
class CrewMember(models.Model):
class Meta:
verbose_name = 'Crew member'
#photo = models.ImageField()
title = models.CharField(max_length=100)
user = models.ForeignKey(
settings.AUTH_USER_MO... | 0 | 0 | 0 | 574 | 0 | 0 | 0 | 18 | 90 |
836d12ee60397703c65310ff1b8d20a62d53b1f0 | 4,626 | py | Python | order.py | AmmeySaini/Realme-AutoBuy | c5ca4ce9990fd397b192f3360ecb264a64ab08f6 | [
"MIT"
] | 32 | 2020-06-23T08:20:56.000Z | 2022-02-13T05:42:48.000Z | order.py | AmmeySaini/Realme-AutoBuy | c5ca4ce9990fd397b192f3360ecb264a64ab08f6 | [
"MIT"
] | 9 | 2020-07-22T06:16:43.000Z | 2021-04-08T09:03:41.000Z | order.py | AmmeySaini/Realme-AutoBuy | c5ca4ce9990fd397b192f3360ecb264a64ab08f6 | [
"MIT"
] | 18 | 2020-06-23T08:12:15.000Z | 2021-10-09T00:13:15.000Z | import urllib3
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
######### AUTHOR - @AmmeySaini #########
######### Github Repo - https://github.com/AmmeySaini/Realme-AutoBuy #########
######### I'm not responisble for any damage or anything bad happens to you using this script #########
######### U... | 50.835165 | 149 | 0.426719 | import requests
import urllib3
import re
import time
from pathlib import Path
from __constants.constants import head1
urllib3.disable_warnings(urllib3.exceptions.InsecureRequestWarning)
######### AUTHOR - @AmmeySaini #########
######### Github Repo - https://github.com/AmmeySaini/Realme-AutoBuy #########
######### I'... | 0 | 0 | 0 | 0 | 0 | 4,052 | 0 | -7 | 133 |
0103fcf54df56370cd3ee1ea3fff662c86dbc2ac | 1,597 | py | Python | output_parser.py | crowd-planning-poker/ML-SEE-replication-pack | 8db5ad0e6425d2d24243442a472028137164fdf5 | [
"MIT"
] | null | null | null | output_parser.py | crowd-planning-poker/ML-SEE-replication-pack | 8db5ad0e6425d2d24243442a472028137164fdf5 | [
"MIT"
] | null | null | null | output_parser.py | crowd-planning-poker/ML-SEE-replication-pack | 8db5ad0e6425d2d24243442a472028137164fdf5 | [
"MIT"
] | null | null | null | import sys
if __name__ == "__main__":
file_name = sys.argv[1]
parse_output_performance(file_name) | 35.488889 | 110 | 0.514715 | import numpy as np
import sys
import regex as re
def parse_output_performance(file):
f = open(file, "r")
content = f.read()
print("Dataset\tProject\tMethod\tFold\tF1\tAUC_ROC")
f1, auc_roc = {'RF-BERT':[],'BERT-BERT':[],'RF-BoW':[]},{'RF-BERT':[],'BERT-BERT':[],'RF-BoW':[]}
for match in re... | 0 | 0 | 0 | 0 | 0 | 1,418 | 0 | -6 | 71 |
bce529e350c6acfe1c38a83d15faaccd0ed9f22c | 4,649 | py | Python | demo.py | b4824583/cmr | 7e964bd5fae6d12ad347d5256daa634548ca0a5a | [
"MIT"
] | null | null | null | demo.py | b4824583/cmr | 7e964bd5fae6d12ad347d5256daa634548ca0a5a | [
"MIT"
] | null | null | null | demo.py | b4824583/cmr | 7e964bd5fae6d12ad347d5256daa634548ca0a5a | [
"MIT"
] | null | null | null | """
Demo of CMR.
Note that CMR assumes that the object has been detected, so please use a picture of a bird that is centered and well cropped.
Sample usage:
python demo.py --name bird_net --num_train_epoch 500 --img_path misc/demo_data/img1.jpg
"""
from __future__ import absolute_import
from __future__ import divis... | 27.672619 | 125 | 0.620779 | """
Demo of CMR.
Note that CMR assumes that the object has been detected, so please use a picture of a bird that is centered and well cropped.
Sample usage:
python demo.py --name bird_net --num_train_epoch 500 --img_path misc/demo_data/img1.jpg
"""
from __future__ import absolute_import
from __future__ import divis... | 366 | 0 | 0 | 0 | 0 | 3,318 | 0 | 70 | 225 |
4ae71ff7c9b21807335b8daf912d973c1bd8ecba | 4,389 | py | Python | deepsim/deepsim/__init__.py | aws-deepracer/deepsim | cad2639f525c2f94ec5c03d8b855cc65b0b8ee55 | [
"Apache-2.0"
] | 1 | 2022-03-25T07:20:49.000Z | 2022-03-25T07:20:49.000Z | deepsim/deepsim/__init__.py | aws-deepracer/deepsim | cad2639f525c2f94ec5c03d8b855cc65b0b8ee55 | [
"Apache-2.0"
] | null | null | null | deepsim/deepsim/__init__.py | aws-deepracer/deepsim | cad2639f525c2f94ec5c03d8b855cc65b0b8ee55 | [
"Apache-2.0"
] | null | null | null | #################################################################################
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# #
# Licensed under the Apache License, Version 2.0 (the "License"). ... | 48.766667 | 112 | 0.732741 | #################################################################################
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# #
# Licensed under the Apache License, Version 2.0 (the "License"). ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1,959 | 1,200 |
64f2b559694d21656b8f455bb0caf9f3b4b2e2c5 | 4,010 | py | Python | hexrd/config/tests/test_root.py | glemaitre/hexrd | b68b1ba72e0f480d29bdaae2adbd6c6e2380cc7c | [
"BSD-3-Clause"
] | 27 | 2020-02-18T12:15:08.000Z | 2022-03-24T17:53:46.000Z | hexrd/config/tests/test_root.py | glemaitre/hexrd | b68b1ba72e0f480d29bdaae2adbd6c6e2380cc7c | [
"BSD-3-Clause"
] | 259 | 2020-02-02T22:18:29.000Z | 2022-03-30T19:59:58.000Z | hexrd/config/tests/test_root.py | glemaitre/hexrd | b68b1ba72e0f480d29bdaae2adbd6c6e2380cc7c | [
"BSD-3-Clause"
] | 11 | 2020-02-18T12:14:44.000Z | 2022-03-04T16:19:11.000Z |
from .common import test_data
reference_data = \
"""
analysis_name: analysis
#working_dir: # not set to test defaulting to cwd
---
analysis_name: analysis_2
working_dir: %(existing_path)s
multiprocessing: -1
---
#analysis_name: # not set to test inheritance
working_dir: %(nonexistent_path)s
multiprocessing: all
---
... | 33.140496 | 78 | 0.66783 | import multiprocessing as mp
import os
import tempfile
from unittest import skipIf
from .common import TestConfig, test_data
from hexrd import config
reference_data = \
"""
analysis_name: analysis
#working_dir: # not set to test defaulting to cwd
---
analysis_name: analysis_2
working_dir: %(existing_path)s
multiproc... | 0 | 1,255 | 0 | 2,127 | 0 | 0 | 0 | 10 | 156 |
c9ceab957cb78af08dee479a7e3534e68d15a3a3 | 122 | py | Python | StackedAutoEncoder/train.py | vsc-hvdc/srtp_GIS | 1ade28e92f450812990328d2e4b4921497646f6c | [
"Apache-2.0"
] | null | null | null | StackedAutoEncoder/train.py | vsc-hvdc/srtp_GIS | 1ade28e92f450812990328d2e4b4921497646f6c | [
"Apache-2.0"
] | null | null | null | StackedAutoEncoder/train.py | vsc-hvdc/srtp_GIS | 1ade28e92f450812990328d2e4b4921497646f6c | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
this file is for training the SAE, and apply for the model
@author Zhou Hang
"""
| 17.428571 | 58 | 0.663934 | # -*- coding: utf-8 -*-
"""
this file is for training the SAE, and apply for the model
@author Zhou Hang
"""
import model
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | -9 | 22 |
8c344f9429de43332d17b67e902d0404f0d63aa0 | 2,934 | py | Python | src/arago/hiro/backend/seven/app_admin.py | 166MMX/hiro-python-library | fb29e3247a8fe1b0f7dc4e68141cf7340a8dd0a5 | [
"MIT"
] | null | null | null | src/arago/hiro/backend/seven/app_admin.py | 166MMX/hiro-python-library | fb29e3247a8fe1b0f7dc4e68141cf7340a8dd0a5 | [
"MIT"
] | null | null | null | src/arago/hiro/backend/seven/app_admin.py | 166MMX/hiro-python-library | fb29e3247a8fe1b0f7dc4e68141cf7340a8dd0a5 | [
"MIT"
] | null | null | null | from typing import TYPE_CHECKING
if TYPE_CHECKING:
| 40.191781 | 102 | 0.623722 | from typing import TYPE_CHECKING, Final
from urllib.parse import quote
from arago.hiro.model.graph.vertex import Vertex
from arago.hiro.utils.cast_b import to_vertex
if TYPE_CHECKING:
from arago.hiro.client.rest_base_client import HiroRestBaseClient
class Hiro7AppAdminModel:
_base_client: Final['HiroRestBas... | 0 | 0 | 0 | 2,630 | 0 | 0 | 0 | 111 | 139 |
69681b1cbcf6d74049745d43ead44794f77d94da | 2,617 | py | Python | google-cloud-sdk/lib/surface/sql/reschedule_maintenance.py | bopopescu/Social-Lite | ee05d6a7431c36ff582c8d6b58bb20a8c5f550bf | [
"Apache-2.0"
] | 2 | 2019-11-10T09:17:07.000Z | 2019-12-18T13:44:08.000Z | google-cloud-sdk/lib/surface/sql/reschedule_maintenance.py | bopopescu/Social-Lite | ee05d6a7431c36ff582c8d6b58bb20a8c5f550bf | [
"Apache-2.0"
] | 4 | 2020-07-21T12:51:46.000Z | 2022-01-22T10:29:25.000Z | google-cloud-sdk/lib/surface/sql/reschedule_maintenance.py | bopopescu/Social-Lite | ee05d6a7431c36ff582c8d6b58bb20a8c5f550bf | [
"Apache-2.0"
] | 1 | 2020-07-25T01:40:19.000Z | 2020-07-25T01:40:19.000Z | # -*- coding: utf-8 -*- #
# Copyright 2019 Google LLC. 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 requir... | 35.849315 | 101 | 0.721055 | # -*- coding: utf-8 -*- #
# Copyright 2019 Google LLC. 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 requir... | 0 | 1,580 | 0 | 0 | 0 | 0 | 0 | 115 | 135 |
07a4e65171b1be0b8deff477425b769066282366 | 895 | py | Python | 2017/day16.py | di-wu/aoc-python | cb08358ad3654e9401c1bd73ef32b0f79f372215 | [
"Apache-2.0"
] | null | null | null | 2017/day16.py | di-wu/aoc-python | cb08358ad3654e9401c1bd73ef32b0f79f372215 | [
"Apache-2.0"
] | null | null | null | 2017/day16.py | di-wu/aoc-python | cb08358ad3654e9401c1bd73ef32b0f79f372215 | [
"Apache-2.0"
] | null | null | null | input = open('inputs/day16.input').read().strip().split(',')
positions = list("abcdefghijklmnop")
print("Part one: %s" % move(1, positions[:]))
print("Part two: %s" % move(1000000000, positions[:]))
| 28.870968 | 60 | 0.426816 | input = open('inputs/day16.input').read().strip().split(',')
positions = list("abcdefghijklmnop")
def move(iterations, pos):
sequence = []
for i in range(iterations):
s = ''.join(pos)
if s in sequence:
return sequence[iterations % i]
sequence.append(s)
for i in inp... | 0 | 0 | 0 | 0 | 0 | 671 | 0 | 0 | 23 |
c3bedd08edfecc9f7400cb88cb75e8a254fd2c64 | 1,423 | py | Python | media/files/linearreg.py | cobyoo/PlayPay | 6a80e104062965d809d290c65db82f391a53b844 | [
"MIT"
] | 2 | 2021-01-18T14:31:26.000Z | 2021-01-18T15:52:54.000Z | media/files/linearreg_q0cLGi8.py | cobyoo/PlayPay | 6a80e104062965d809d290c65db82f391a53b844 | [
"MIT"
] | null | null | null | media/files/linearreg_q0cLGi8.py | cobyoo/PlayPay | 6a80e104062965d809d290c65db82f391a53b844 | [
"MIT"
] | null | null | null | import statsmodels.formula.api as smf
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn import metrics
data = pd.read_excel('train_data.xlsx')
data2 = pd.read_excel('test_data.xlsx')
dfX = pd.DataFrame(data, columns=["temp", "humid"])
dfy = pd.DataFrame... | 28.46 | 108 | 0.719606 | import statsmodels.formula.api as smf
import matplotlib.pyplot as plt
import pandas as pd
from sklearn.linear_model import LinearRegression
from sklearn import model_selection
from sklearn import metrics
from mpl_toolkits.mplot3d import Axes3D
data = pd.read_excel('train_data.xlsx')
data2 = pd.read_excel('test_data.x... | 30 | 0 | 0 | 0 | 0 | 0 | 0 | 32 | 44 |
b0a1f2f042b581c99a0d2f8cfa9f921d37bf758b | 2,597 | py | Python | utils/misc.py | bbbbbbzhou/DuDoRNet | 5e47030e373aec066f6cc7957e913e984407b1b2 | [
"MIT"
] | 35 | 2020-03-27T02:12:21.000Z | 2022-03-14T17:19:22.000Z | utils/misc.py | chisyliu/DuDoRNet | 5e47030e373aec066f6cc7957e913e984407b1b2 | [
"MIT"
] | 4 | 2020-06-14T12:50:14.000Z | 2021-12-04T06:19:08.000Z | utils/misc.py | chisyliu/DuDoRNet | 5e47030e373aec066f6cc7957e913e984407b1b2 | [
"MIT"
] | 11 | 2020-11-17T12:56:13.000Z | 2022-03-19T17:45:29.000Z | __all__ = ['read_dir', 'get_last_checkpoint', 'compute_metrics', 'get_aapm_minmax',
'convert_coefficient2hu', 'convert_hu2coefficient']
import os.path as path
| 30.916667 | 83 | 0.630343 | __all__ = ['read_dir', 'get_last_checkpoint', 'compute_metrics', 'get_aapm_minmax',
'convert_coefficient2hu', 'convert_hu2coefficient']
import os
import os.path as path
import scipy.io as sio
import numpy as np
from tqdm import tqdm
from skimage.measure import compare_ssim, compare_psnr
def read_dir(dir_path, pr... | 0 | 0 | 0 | 0 | 0 | 2,161 | 0 | 19 | 249 |