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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7a41f0c3764e71077fc7420e76ea9cf370051a97 | 1,047 | py | Python | civil/library/fields/base64.py | christopinka/django-civil | d134624da9d36c4ba0bea2df8a21698df196bdf6 | [
"Apache-2.0"
] | 3 | 2020-06-15T21:01:06.000Z | 2022-02-17T17:41:57.000Z | civil/library/fields/base64.py | christopinka/django-civil | d134624da9d36c4ba0bea2df8a21698df196bdf6 | [
"Apache-2.0"
] | null | null | null | civil/library/fields/base64.py | christopinka/django-civil | d134624da9d36c4ba0bea2df8a21698df196bdf6 | [
"Apache-2.0"
] | 1 | 2021-11-06T18:33:29.000Z | 2021-11-06T18:33:29.000Z | # -*- coding: utf-8 -*-
#==============================================================================
| 31.727273 | 79 | 0.596944 | # -*- coding: utf-8 -*-
import base64
from django.db.models import fields
#==============================================================================
class Base64Field(models.TextField):
"""
A base64 field to store binary data into a text field in django.
class Foo(models.Model):
data... | 0 | 0 | 0 | 869 | 0 | 0 | 0 | 6 | 67 |
6a8aa891bdbb93f9c5072560a632cfbbae4db48c | 10,227 | py | Python | examples/text_embeddings/export.py | hrishikeshmane/hub | d6ee95376e80ce8e1df9a1f1057402c7ca98d4fa | [
"Apache-2.0"
] | 2 | 2020-06-20T14:10:42.000Z | 2020-10-12T07:10:30.000Z | examples/text_embeddings/export.py | hrishikeshmane/hub | d6ee95376e80ce8e1df9a1f1057402c7ca98d4fa | [
"Apache-2.0"
] | null | null | null | examples/text_embeddings/export.py | hrishikeshmane/hub | d6ee95376e80ce8e1df9a1f1057402c7ca98d4fa | [
"Apache-2.0"
] | 1 | 2020-08-03T21:04:29.000Z | 2020-08-03T21:04:29.000Z | # Copyright 2018 The TensorFlow Hub Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 35.884211 | 80 | 0.706757 | # Copyright 2018 The TensorFlow Hub Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by app... | 0 | 0 | 0 | 0 | 0 | 599 | 0 | 0 | 46 |
af79c8bc2aaa0db59e64d6db07e973d2301ac6fb | 16,588 | py | Python | witsenhausen/Witsenhausen+Counterexample+TF.py | jain-nikunj/radioML | 24bcfce5f189e22679881c3eea3819e7a19e7301 | [
"MIT"
] | 5 | 2018-03-07T03:46:32.000Z | 2021-02-20T11:59:40.000Z | witsenhausen/Witsenhausen+Counterexample+TF.py | jain-nikunj/radioML | 24bcfce5f189e22679881c3eea3819e7a19e7301 | [
"MIT"
] | 1 | 2018-03-11T03:19:03.000Z | 2018-03-11T03:19:03.000Z | witsenhausen/Witsenhausen+Counterexample+TF.py | jain-nikunj/radioML | 24bcfce5f189e22679881c3eea3819e7a19e7301 | [
"MIT"
] | 3 | 2018-03-14T18:16:25.000Z | 2018-11-14T07:19:41.000Z |
# coding: utf-8
# In[1]:
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
# fix random seed for reproducibility
np.random.seed()
m = 1 # dimension
k_squared = 0.04
m_inv = 1.0
learning_rate = 1e-5
# epochs = 20000
epochs = 10000
batch_size = 1000000
x_stddev = 5
test_averaging=100
decay = ... | 32.209709 | 92 | 0.574753 |
# coding: utf-8
# In[1]:
import numpy as np
from numpy import linalg as LA
import tensorflow as tf
import matplotlib.pyplot as plt
# fix random seed for reproducibility
np.random.seed()
m = 1 # dimension
k_squared = 0.04
m_inv = 1.0
learning_rate = 1e-5
# epochs = 20000
epochs = 10000
batch_size = 1000000
x_stddev ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 22 |
1102de456e3b2a8e2b9a1ef25114dac7839e6ac4 | 264 | py | Python | plaso/__init__.py | Defense-Cyber-Crime-Center/plaso | 4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47 | [
"Apache-2.0"
] | 2 | 2016-02-18T12:46:29.000Z | 2022-03-13T03:04:59.000Z | plaso/__init__.py | Defense-Cyber-Crime-Center/plaso | 4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47 | [
"Apache-2.0"
] | null | null | null | plaso/__init__.py | Defense-Cyber-Crime-Center/plaso | 4f3a85fbea10637c1cdbf0cde9fc539fdcea9c47 | [
"Apache-2.0"
] | 6 | 2016-12-18T08:05:36.000Z | 2021-04-06T14:19:11.000Z | # -*- coding: utf-8 -*-
__version__ = '1.3.1'
VERSION_DEV = True
VERSION_DATE = '20150826'
def GetVersion():
"""Returns version information for plaso."""
if not VERSION_DEV:
return __version__
return u'{0:s}_{1:s}'.format(__version__, VERSION_DATE)
| 17.6 | 57 | 0.67803 | # -*- coding: utf-8 -*-
__version__ = '1.3.1'
VERSION_DEV = True
VERSION_DATE = '20150826'
def GetVersion():
"""Returns version information for plaso."""
if not VERSION_DEV:
return __version__
return u'{0:s}_{1:s}'.format(__version__, VERSION_DATE)
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
1fe160fa3816cc0e9274f4aecaa8ff412a49705a | 884 | py | Python | mip_table_analysis.py | ESGF/esgf-drslib | 1518180c7a5d6f2fe3de112942a5af32527d55f0 | [
"BSD-3-Clause-Clear"
] | null | null | null | mip_table_analysis.py | ESGF/esgf-drslib | 1518180c7a5d6f2fe3de112942a5af32527d55f0 | [
"BSD-3-Clause-Clear"
] | null | null | null | mip_table_analysis.py | ESGF/esgf-drslib | 1518180c7a5d6f2fe3de112942a5af32527d55f0 | [
"BSD-3-Clause-Clear"
] | null | null | null | # BSD Licence
# Copyright (c) 2011, Science & Technology Facilities Council (STFC)
# All rights reserved.
#
# See the LICENSE file in the source distribution of this software for
# the full license text.
"""
Some sanity checking code for the CMIP5 MIP tables.
"""
import sqlite3
from drslib import cmip5
table_store... | 21.560976 | 83 | 0.660633 | # BSD Licence
# Copyright (c) 2011, Science & Technology Facilities Council (STFC)
# All rights reserved.
#
# See the LICENSE file in the source distribution of this software for
# the full license text.
"""
Some sanity checking code for the CMIP5 MIP tables.
"""
import sqlite3
from drslib import cmip5
table_store... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
dde8dd947bcb2d76c31a7d65442f53f082866ee0 | 320 | py | Python | server/tasks/urls.py | Vamshi399/project_management_tool | 658af1c87b18d5e76e34c0b48ccf418c9f353423 | [
"Apache-2.0"
] | null | null | null | server/tasks/urls.py | Vamshi399/project_management_tool | 658af1c87b18d5e76e34c0b48ccf418c9f353423 | [
"Apache-2.0"
] | null | null | null | server/tasks/urls.py | Vamshi399/project_management_tool | 658af1c87b18d5e76e34c0b48ccf418c9f353423 | [
"Apache-2.0"
] | 1 | 2021-05-12T19:08:52.000Z | 2021-05-12T19:08:52.000Z | from django.urls import path
from .views import TasksListView, Tasks2ListView, ProjectListView, RoleListView
app_name = 'tasks'
urlpatterns = [
path('', TasksListView.as_view()),
path('take2', Tasks2ListView.as_view()),
path('project', ProjectListView.as_view()),
path('role', RoleListView.as_view())
]
| 29.090909 | 79 | 0.721875 | from django.urls import path
from .views import TasksListView, Tasks2ListView, ProjectListView, RoleListView
app_name = 'tasks'
urlpatterns = [
path('', TasksListView.as_view()),
path('take2', Tasks2ListView.as_view()),
path('project', ProjectListView.as_view()),
path('role', RoleListView.as_view())
]
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7e817db03df0fb5a18a8791c5c1777dfdd527646 | 18,852 | py | Python | latexbot/latexbot/trivia.py | tylertian123/ryver-latexbot | 83e4964911dc2dd5b1f6c0bdc83a1aba13ce6425 | [
"MIT"
] | 2 | 2020-10-07T21:12:28.000Z | 2021-08-23T18:50:30.000Z | latexbot/latexbot/trivia.py | tylertian123/ryver-latexbot | 83e4964911dc2dd5b1f6c0bdc83a1aba13ce6425 | [
"MIT"
] | 47 | 2020-02-22T04:25:57.000Z | 2021-12-17T23:50:33.000Z | latexbot/latexbot/trivia.py | tylertian123/ryver-latexbot | 83e4964911dc2dd5b1f6c0bdc83a1aba13ce6425 | [
"MIT"
] | null | null | null | """
Uses the Open Trivia Database https://opentdb.com/ for a game of trivia.
"""
import typing
CUSTOM_TRIVIA_QUESTIONS = {}
def get_custom_categories() -> typing.List[str]:
"""
Get all the custom trivia question categories.
"""
return list(CUSTOM_TRIVIA_QUESTIONS.keys())
def set_custom_trivia... | 35.704545 | 213 | 0.598928 | """
Uses the Open Trivia Database https://opentdb.com/ for a game of trivia.
"""
import aiohttp
import asyncio
import html
import pyryver
import random
import typing
CUSTOM_TRIVIA_QUESTIONS = {}
class OpenTDBError(Exception):
"""
An exception raised when an error occurs when interfacing OpenTDB.
The c... | 0 | 540 | 10,630 | 6,175 | 0 | 0 | 0 | -39 | 249 |
d1e2e209fe4bdb127a4715bd3d73dedeaebb5785 | 2,165 | py | Python | telemetry/telemetry/internal/browser/ui_devtools.py | Pirouf/catapult | c8248182dbaaf337c1f61c77bb54b8e00be4d2e0 | [
"BSD-3-Clause"
] | 1 | 2021-04-21T07:55:55.000Z | 2021-04-21T07:55:55.000Z | telemetry/telemetry/internal/browser/ui_devtools.py | Keshawnjones/catapult | b226a4b7af31ec65e2c3ae3fcf3f46eb89df28ac | [
"BSD-3-Clause"
] | null | null | null | telemetry/telemetry/internal/browser/ui_devtools.py | Keshawnjones/catapult | b226a4b7af31ec65e2c3ae3fcf3f46eb89df28ac | [
"BSD-3-Clause"
] | null | null | null | # Copyright 2021 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
MOUSE_EVENT_TYPE_MOUSE_PRESSED = 'mousePressed'
MOUSE_EVENT_TYPE_MOUSE_DRAGGED = 'mouseDragged'
MOUSE_EVENT_TYPE_MOUSE_RELEASED = 'mouseReleased'
MOUSE_EVENT... | 38.660714 | 102 | 0.65358 | # Copyright 2021 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
MOUSE_EVENT_TYPE_MOUSE_PRESSED = 'mousePressed'
MOUSE_EVENT_TYPE_MOUSE_DRAGGED = 'mouseDragged'
MOUSE_EVENT_TYPE_MOUSE_RELEASED = 'mouseReleased'
MOUSE_EVENT... | 0 | 0 | 0 | 1,230 | 0 | 0 | 0 | 0 | 23 |
7d5110fcfca13f38c7ede77cd3944a3af2451988 | 1,491 | py | Python | scripts/export_bookmarks.py | kylewm/redwind | 7ad807b5ab2dd74a8d470dbea9dd4baf5567d9c6 | [
"BSD-2-Clause"
] | 35 | 2015-01-08T03:26:39.000Z | 2020-09-16T00:42:17.000Z | scripts/export_bookmarks.py | thedod/redwind | 4a0f21164078d97b3569064d9f482c8b2ccf2008 | [
"BSD-2-Clause"
] | 47 | 2015-01-05T23:22:08.000Z | 2021-02-02T21:43:26.000Z | scripts/export_bookmarks.py | thedod/redwind | 4a0f21164078d97b3569064d9f482c8b2ccf2008 | [
"BSD-2-Clause"
] | 10 | 2015-02-20T00:51:37.000Z | 2022-01-11T10:59:32.000Z | import pystache
from redwind.models import Post
from sqlalchemy import desc
import isodate
FEED_TEMPLATE = """
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>{{{title}}}</title>
<style>
body {
font-family: sans-serif;
max-width:800px;
}
h1,h2,h3,h4 {
font-size: 1em;
}
li {
list-st... | 20.148649 | 93 | 0.594232 | import pystache
from redwind.models import Post
from sqlalchemy import desc
import isodate
FEED_TEMPLATE = """
<!DOCTYPE html>
<html>
<head>
<meta charset="utf-8">
<title>{{{title}}}</title>
<style>
body {
font-family: sans-serif;
max-width:800px;
}
h1,h2,h3,h4 {
font-size: 1em;
}
li {
list-st... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
49de1d72ce46de99fc7531c62db1ee917d45f776 | 5,066 | py | Python | obsolete/pipeline_rnaseq/trackers/QC.py | kevinrue/cgat-flow | 02b5a1867253c2f6fd6b4f3763e0299115378913 | [
"MIT"
] | 49 | 2015-04-13T16:49:25.000Z | 2022-03-29T10:29:14.000Z | obsolete/pipeline_rnaseq/trackers/QC.py | kevinrue/cgat-flow | 02b5a1867253c2f6fd6b4f3763e0299115378913 | [
"MIT"
] | 252 | 2015-04-08T13:23:34.000Z | 2019-03-18T21:51:29.000Z | obsolete/pipeline_rnaseq/trackers/QC.py | kevinrue/cgat-flow | 02b5a1867253c2f6fd6b4f3763e0299115378913 | [
"MIT"
] | 22 | 2015-05-21T00:37:52.000Z | 2019-09-25T05:04:27.000Z | # tracks taken from geneset comparison
# need to integrated
##########################################################################
##########################################################################
##########################################################################
# Coverage of transcript models
#... | 41.867769 | 172 | 0.510857 | # tracks taken from geneset comparison
# need to integrated
from RnaseqReport import *
class AnnotationsAssociated:
pass
##########################################################################
##########################################################################
#########################################... | 0 | 0 | 0 | 3,888 | 0 | 0 | 0 | 5 | 114 |
24abf4eae5ee3f3472c4303879239a4cdc0c3132 | 1,122 | py | Python | setup.py | jpfxgood/slides-sound | 45fab67ddf14efe37805b7f7c54ac6ee5cdc7e0b | [
"MIT"
] | null | null | null | setup.py | jpfxgood/slides-sound | 45fab67ddf14efe37805b7f7c54ac6ee5cdc7e0b | [
"MIT"
] | null | null | null | setup.py | jpfxgood/slides-sound | 45fab67ddf14efe37805b7f7c54ac6ee5cdc7e0b | [
"MIT"
] | null | null | null | from setuptools import setup
with open("README.md", "r") as fh:
long_description = fh.read()
with open("VERSION", "r") as fh:
version = fh.read().strip()
setup(
name='slides-sound',
version=version,
url='http://github.com/jpfxgood/slides-sound',
author="James Goodwin",
author_email="slide... | 24.391304 | 81 | 0.593583 | from setuptools import setup
with open("README.md", "r") as fh:
long_description = fh.read()
with open("VERSION", "r") as fh:
version = fh.read().strip()
setup(
name='slides-sound',
version=version,
url='http://github.com/jpfxgood/slides-sound',
author="James Goodwin",
author_email="slide... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2a6fe4217a0e371384653d1e5727375b8be73d25 | 13,337 | py | Python | gym_idsgame/envs/util/idsgame_util.py | lrakotoarivony/gym-idsgame | b5eb2583e87dc37ac1735d28b97241fd51199374 | [
"MIT"
] | null | null | null | gym_idsgame/envs/util/idsgame_util.py | lrakotoarivony/gym-idsgame | b5eb2583e87dc37ac1735d28b97241fd51199374 | [
"MIT"
] | null | null | null | gym_idsgame/envs/util/idsgame_util.py | lrakotoarivony/gym-idsgame | b5eb2583e87dc37ac1735d28b97241fd51199374 | [
"MIT"
] | 1 | 2022-01-11T13:25:16.000Z | 2022-01-11T13:25:16.000Z | """
Utility functions for the gym-idsgame environment
"""
from typing import Union, List
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import io
import cv2
#from gym_idsgame.envs.dao.idsgame_config import IdsGameConfig
#from gym_idsgame.envs.dao.game_config import GameConfig
#from gym_idsgame... | 40.051051 | 155 | 0.699333 | """
Utility functions for the gym-idsgame environment
"""
from typing import Union, List
import matplotlib.pyplot as plt
import numpy as np
import seaborn as sns
import io
import cv2
#from gym_idsgame.envs.dao.idsgame_config import IdsGameConfig
#from gym_idsgame.envs.dao.game_config import GameConfig
#from gym_idsgame... | 0 | 0 | 0 | 0 | 0 | 1,864 | 0 | 0 | 69 |
4f5be6c414be1fa8d9af88ad144b10f726c5b948 | 16,966 | py | Python | chemberta/finetune/finetune_with_freeze.py | BogdanDidenko/bert-loves-chemistry | 87cdddc1303c7d07f81613dbb3cb28c8bf910592 | [
"MIT"
] | 183 | 2020-04-07T18:57:16.000Z | 2022-03-25T08:10:28.000Z | chemberta/finetune/finetune_with_freeze.py | BogdanDidenko/bert-loves-chemistry | 87cdddc1303c7d07f81613dbb3cb28c8bf910592 | [
"MIT"
] | 11 | 2020-05-12T00:04:20.000Z | 2021-07-14T12:39:38.000Z | chemberta/finetune/finetune_with_freeze.py | BogdanDidenko/bert-loves-chemistry | 87cdddc1303c7d07f81613dbb3cb28c8bf910592 | [
"MIT"
] | 35 | 2020-04-03T01:24:06.000Z | 2022-03-26T12:30:55.000Z | """Script for finetuning and evaluating pre-trained ChemBERTa models on MoleculeNet tasks.
[classification]
python finetune.py --datasets=bbbp --pretrained_model_name_or_path=DeepChem/ChemBERTa-SM-015
[regression]
python finetune.py --datasets=delaney --pretrained_model_name_or_path=DeepChem/ChemBERTa-SM-015
[csv]
p... | 35.126294 | 199 | 0.687905 | """Script for finetuning and evaluating pre-trained ChemBERTa models on MoleculeNet tasks.
[classification]
python finetune.py --datasets=bbbp --pretrained_model_name_or_path=DeepChem/ChemBERTa-SM-015
[regression]
python finetune.py --datasets=delaney --pretrained_model_name_or_path=DeepChem/ChemBERTa-SM-015
[csv]
p... | 0 | 250 | 0 | 594 | 0 | 10,808 | 0 | 393 | 515 |
55396921fd3a769b3b49e4efa49ebbac55691e76 | 762 | py | Python | todo.txt/parser.py | kaushik-rohit/CSF363-Compilers-Construction | b0ff9db3aab237c97c04079a68a81463c8458d27 | [
"MIT"
] | null | null | null | todo.txt/parser.py | kaushik-rohit/CSF363-Compilers-Construction | b0ff9db3aab237c97c04079a68a81463c8458d27 | [
"MIT"
] | null | null | null | todo.txt/parser.py | kaushik-rohit/CSF363-Compilers-Construction | b0ff9db3aab237c97c04079a68a81463c8458d27 | [
"MIT"
] | null | null | null | import ply.lex as lex
import ply.yacc as yacc
# List of tokens
tokens = (
'COMPLETE',
'PRIORITY',
'DATE',
'LIST',
'PARENT',
'COLOR',
'DUE',
'DESC'
)
t_DESC = r'[a-zA-Z_]+'
t_COMPLETE = r'x'
t_PRIORITY = r'\([a-zA-Z]\)'
t_DATE = '(\d+[-/]\d+[-/]\d+)'
t_LIST = r'\@[a-zA-Z_]+'
t_P... | 16.565217 | 48 | 0.534121 | import ply.lex as lex
import ply.yacc as yacc
# List of tokens
tokens = (
'COMPLETE',
'PRIORITY',
'DATE',
'LIST',
'PARENT',
'COLOR',
'DUE',
'DESC'
)
t_DESC = r'[a-zA-Z_]+'
t_COMPLETE = r'x'
t_PRIORITY = r'\([a-zA-Z]\)'
t_DATE = '(\d+[-/]\d+[-/]\d+)'
t_LIST = r'\@[a-zA-Z_]+'
t_P... | 0 | 0 | 0 | 0 | 0 | 63 | 0 | 0 | 22 |
32c5825b2dcf80127ee4910eb7a38b1507d697c7 | 850 | py | Python | test/test_workflow_metadata.py | CiscoDevNet/python-msx-sdk | d7e0a08c656504b4f4551d263e67c671a2a04b3f | [
"MIT"
] | null | null | null | test/test_workflow_metadata.py | CiscoDevNet/python-msx-sdk | d7e0a08c656504b4f4551d263e67c671a2a04b3f | [
"MIT"
] | null | null | null | test/test_workflow_metadata.py | CiscoDevNet/python-msx-sdk | d7e0a08c656504b4f4551d263e67c671a2a04b3f | [
"MIT"
] | null | null | null | """
MSX SDK
MSX SDK client. # noqa: E501
The version of the OpenAPI document: 1.0.9
Generated by: https://openapi-generator.tech
"""
import unittest
from python_msx_sdk.model.workflow_metadata_git_info import WorkflowMetadataGitInfo
globals()['WorkflowMetadataGitInfo'] = WorkflowMetadataGitInfo
i... | 22.368421 | 83 | 0.712941 | """
MSX SDK
MSX SDK client. # noqa: E501
The version of the OpenAPI document: 1.0.9
Generated by: https://openapi-generator.tech
"""
import sys
import unittest
import python_msx_sdk
from python_msx_sdk.model.workflow_metadata_git_info import WorkflowMetadataGitInfo
globals()['WorkflowMetadataGitIn... | 0 | 0 | 0 | 358 | 0 | 0 | 0 | 35 | 91 |
c2d78af1e2955305bfe301906b38330f78d059ab | 4,823 | py | Python | modernrpc/tests/testsite/settings.py | diegoduncan21/django-modern-rpc | 559f17dec2e584a800b19c760a15e230a126a66f | [
"MIT"
] | null | null | null | modernrpc/tests/testsite/settings.py | diegoduncan21/django-modern-rpc | 559f17dec2e584a800b19c760a15e230a126a66f | [
"MIT"
] | null | null | null | modernrpc/tests/testsite/settings.py | diegoduncan21/django-modern-rpc | 559f17dec2e584a800b19c760a15e230a126a66f | [
"MIT"
] | null | null | null | # coding: utf-8
import os
from distutils.version import StrictVersion
from os.path import dirname, realpath, join
import django
from django.utils import six
DEBUG = True
ALLOWED_HOSTS = ['*']
SECRET_KEY = 'dummy'
ROOT_URLCONF = 'testsite.urls'
SITE_ROOT = dirname(realpath(__file__))
DATABASES = {
'default': {
... | 31.940397 | 112 | 0.603359 | # coding: utf-8
import os
from distutils.version import StrictVersion
from os.path import dirname, realpath, join
import django
from django.utils import six
DEBUG = True
ALLOWED_HOSTS = ['*']
SECRET_KEY = 'dummy'
ROOT_URLCONF = 'testsite.urls'
SITE_ROOT = dirname(realpath(__file__))
DATABASES = {
'default': {
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
f0371d492cbbf2edaa25dac469d22985ade7b7d5 | 489 | py | Python | backend/apps/testing/migrations/0005_auto_20180830_1846.py | mkokotovich/cbcl_scoring | 86d8f636a980bce45fcf5fc7eccac5dffddfd3b8 | [
"MIT"
] | null | null | null | backend/apps/testing/migrations/0005_auto_20180830_1846.py | mkokotovich/cbcl_scoring | 86d8f636a980bce45fcf5fc7eccac5dffddfd3b8 | [
"MIT"
] | 17 | 2019-12-26T16:45:10.000Z | 2022-03-21T22:16:37.000Z | backend/apps/testing/migrations/0005_auto_20180830_1846.py | mkokotovich/testscoring | bc176caf37a2980d85a722efa919f416c9758a0e | [
"MIT"
] | null | null | null | # Generated by Django 2.1 on 2018-08-30 18:46
| 25.736842 | 154 | 0.617587 | # Generated by Django 2.1 on 2018-08-30 18:46
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('testing', '0004_auto_20180830_1639'),
]
operations = [
migrations.AlterField(
model_name='test',
name='test_type',
... | 0 | 0 | 0 | 377 | 0 | 0 | 0 | 19 | 46 |
92e7004e87e4349ca02dc74ace434287041cebcb | 1,354 | py | Python | stickybeak/vendored/pip/_internal/operations/build/metadata.py | reloadware/stickybeak | 8ac52a80849a3098fb6b2f47115970a734a73c14 | [
"Apache-2.0"
] | null | null | null | stickybeak/vendored/pip/_internal/operations/build/metadata.py | reloadware/stickybeak | 8ac52a80849a3098fb6b2f47115970a734a73c14 | [
"Apache-2.0"
] | null | null | null | stickybeak/vendored/pip/_internal/operations/build/metadata.py | reloadware/stickybeak | 8ac52a80849a3098fb6b2f47115970a734a73c14 | [
"Apache-2.0"
] | 1 | 2022-01-01T15:14:42.000Z | 2022-01-01T15:14:42.000Z | """Metadata generation logic for source distributions.
"""
import os
from stickybeak.vendored.pip._internal.utils.subprocess import runner_with_spinner_message
from stickybeak.vendored.pip._internal.utils.temp_dir import TempDirectory
from stickybeak.vendored.pip._internal.utils.typing import MYPY_CHECK_RUNNING
if M... | 35.631579 | 90 | 0.754062 | """Metadata generation logic for source distributions.
"""
import os
from stickybeak.vendored.pip._internal.utils.subprocess import runner_with_spinner_message
from stickybeak.vendored.pip._internal.utils.temp_dir import TempDirectory
from stickybeak.vendored.pip._internal.utils.typing import MYPY_CHECK_RUNNING
if M... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 106 | 52 |
6c7c1092d541ebd020ef8fc25654c1ca2e79b7ec | 2,255 | py | Python | underworld/systems/sle/_eqnum.py | longgangfan/underworld2 | 5c8acc17fa4d97e86a62b13b8bfb2af6e81a8ee4 | [
"CC-BY-4.0"
] | 116 | 2015-09-28T10:30:55.000Z | 2022-03-22T04:12:38.000Z | underworld/systems/sle/_eqnum.py | longgangfan/underworld2 | 5c8acc17fa4d97e86a62b13b8bfb2af6e81a8ee4 | [
"CC-BY-4.0"
] | 561 | 2015-09-29T06:05:50.000Z | 2022-03-22T23:37:29.000Z | underworld/systems/sle/_eqnum.py | longgangfan/underworld2 | 5c8acc17fa4d97e86a62b13b8bfb2af6e81a8ee4 | [
"CC-BY-4.0"
] | 68 | 2015-12-14T21:57:46.000Z | 2021-08-25T04:54:26.000Z | ##~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~##
## ##
## This file forms part of the Underworld geophysics modelling application. ##
## ... | 46.979167 | 133 | 0.552993 | ##~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~#~##
## ##
## This file forms part of the Underworld geophysics modelling application. ##
## ... | 0 | 50 | 0 | 1,411 | 0 | 0 | 0 | 2 | 45 |
5000f33d611388cf6c48f4a87a51d3bbc04bfcc2 | 3,988 | py | Python | plots/fig11.py | julianrojas87/lc-evaluation-swj | 9c734a8513eec758bc59a728c9f9cc73acfa5ab2 | [
"MIT"
] | null | null | null | plots/fig11.py | julianrojas87/lc-evaluation-swj | 9c734a8513eec758bc59a728c9f9cc73acfa5ab2 | [
"MIT"
] | null | null | null | plots/fig11.py | julianrojas87/lc-evaluation-swj | 9c734a8513eec758bc59a728c9f9cc73acfa5ab2 | [
"MIT"
] | null | null | null | import matplotlib
from matplotlib import pyplot as plt
# Function to calculate server CPU values
# Function to calculate average response time values
# Get X and Y axises for each setup
base_cpu_x, base_cpu_y = get_resource_usage("base", "cpu")
base_ram_x, base_ram_y = get_resource_usage("base", "ram")
base_arp_x, ... | 39.485149 | 106 | 0.706871 | import matplotlib
from matplotlib import pyplot as plt
import csv
import json
# Function to calculate server CPU values
def get_resource_usage(server, resource):
root_path = "../scalability-test/server/results/nmbs/" + server + "/"
x = [1, 2, 5, 10, 20, 50]
y = []
res = 2 if resource == "cpu" else 3
... | 0 | 0 | 0 | 0 | 0 | 855 | 0 | -21 | 88 |
9c2865147bae458ad0c666a097cd180b844b95db | 6,590 | py | Python | tools/metadata_tools/process_metadata.py | jf990/arcgis-runtime-samples-dotnet | 15ec602fc64b09d1f63f5ac4ae4feeec59097334 | [
"Apache-2.0"
] | null | null | null | tools/metadata_tools/process_metadata.py | jf990/arcgis-runtime-samples-dotnet | 15ec602fc64b09d1f63f5ac4ae4feeec59097334 | [
"Apache-2.0"
] | null | null | null | tools/metadata_tools/process_metadata.py | jf990/arcgis-runtime-samples-dotnet | 15ec602fc64b09d1f63f5ac4ae4feeec59097334 | [
"Apache-2.0"
] | null | null | null | import sys
import os
def get_platform_samples_root(platform, sample_root):
'''
Gets the root directory for each platform
'''
if (platform == "UWP"):
return os.path.join(sample_root, "UWP", "ArcGISRuntime.UWP.Viewer", "Samples")
if (platform == "WPF"):
return os.path.join(sample_roo... | 46.408451 | 197 | 0.651442 | from sample_metadata import *
import sys
import os
def get_platform_samples_root(platform, sample_root):
'''
Gets the root directory for each platform
'''
if (platform == "UWP"):
return os.path.join(sample_root, "UWP", "ArcGISRuntime.UWP.Viewer", "Samples")
if (platform == "WPF"):
... | 0 | 0 | 0 | 0 | 0 | 343 | 0 | 8 | 45 |
f0cf0fdcf79dcd3caafbae221628202638ece9fe | 16,687 | py | Python | scripts/file_manipulation/examine_bin_fibers.py | maierbn/opendihu | 577650e2f6b36a7306766b0f4176f8124458cbf0 | [
"MIT"
] | 17 | 2018-11-25T19:29:34.000Z | 2021-09-20T04:46:22.000Z | scripts/file_manipulation/examine_bin_fibers.py | maierbn/opendihu | 577650e2f6b36a7306766b0f4176f8124458cbf0 | [
"MIT"
] | 1 | 2020-11-12T15:15:58.000Z | 2020-12-29T15:29:24.000Z | scripts/file_manipulation/examine_bin_fibers.py | maierbn/opendihu | 577650e2f6b36a7306766b0f4176f8124458cbf0 | [
"MIT"
] | 4 | 2018-10-17T12:18:10.000Z | 2021-05-28T13:24:20.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# This scripts reads a fibers.bin file which is generated by opendihu parallel_fiber_estimation. It outputs a stl file and a pickle file containing all fibers.
# The purpose of this script is to inspect the fibers.bin file and manually evaluate the outcome.
#
# usage: ./e... | 38.806977 | 233 | 0.610116 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# This scripts reads a fibers.bin file which is generated by opendihu parallel_fiber_estimation. It outputs a stl file and a pickle file containing all fibers.
# The purpose of this script is to inspect the fibers.bin file and manually evaluate the outcome.
#
# usage: ./e... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -11 | 22 |
5d5431db276d57ec52f6945403b721a5d4b52a8e | 101 | py | Python | app/endpoints/common/models/__init__.py | brauls/ingredients-service | 67c1408f96f4b407d7e7b3e5e62406a6931de1c1 | [
"MIT"
] | null | null | null | app/endpoints/common/models/__init__.py | brauls/ingredients-service | 67c1408f96f4b407d7e7b3e5e62406a6931de1c1 | [
"MIT"
] | 1 | 2021-06-01T23:34:40.000Z | 2021-06-01T23:34:40.000Z | app/endpoints/common/models/__init__.py | brauls/ingredients-service | 67c1408f96f4b407d7e7b3e5e62406a6931de1c1 | [
"MIT"
] | null | null | null | """Initialize the SQLAlchemy object.
"""
from flask_sqlalchemy import SQLAlchemy
DB = SQLAlchemy()
| 14.428571 | 39 | 0.762376 | """Initialize the SQLAlchemy object.
"""
from flask_sqlalchemy import SQLAlchemy
DB = SQLAlchemy()
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d7ff4b5f9719ee9d0c361996d435ab639d240ab1 | 3,613 | py | Python | AutoWorkup/BAW/DTIPrepext.py | pnlbwh/BRAINSTools | a2fe63ab5b795f03da140a4081d1fef6314dab95 | [
"Apache-2.0"
] | 89 | 2015-02-09T16:47:09.000Z | 2022-02-21T07:19:27.000Z | AutoWorkup/BAW/DTIPrepext.py | pnlbwh/BRAINSTools | a2fe63ab5b795f03da140a4081d1fef6314dab95 | [
"Apache-2.0"
] | 166 | 2015-01-07T22:14:05.000Z | 2021-12-26T06:58:00.000Z | AutoWorkup/BAW/DTIPrepext.py | BRAINSia/BRAINSTools | f09f74bd28ad07cd2347c2528921b1a43b97fa1d | [
"Apache-2.0"
] | 80 | 2015-01-05T17:18:07.000Z | 2022-01-06T12:46:29.000Z | """
DTIPrepext.py
===========================
Description:
Author:
Usage:
"""
"""
This class represents a...
"""
# outputQCedBaseline = traits.Either(File(exists=True), None)
# outputQCedDTI = traits.Either(File(exists=True), None)
# outputQCedDTI_FA = traits.Either(File(exists=True), None)
# outputQCedDTI_MD = ... | 35.772277 | 149 | 0.665098 | """
DTIPrepext.py
===========================
Description:
Author:
Usage:
"""
import os
from nipype.interfaces.base import (
CommandLine,
CommandLineInputSpec,
TraitedSpec,
File,
Directory,
traits,
isdefined,
InputMultiPath,
OutputMultiPath,
)
from nipype.interfaces.semtools.diff... | 0 | 0 | 0 | 2,655 | 0 | 0 | 0 | 255 | 113 |
d51f27d3c4829fa0b154d434cb4ed7b693cfd02d | 380 | py | Python | {{cookiecutter.project_slug}}/backend/app/app/schemas/user.py | tiangolo/full-stack-flask-couchbase | d79d4c2159632dfac47051ff65119b6a6b73b2cd | [
"MIT"
] | 51 | 2018-10-22T14:14:49.000Z | 2021-12-02T07:07:50.000Z | {{cookiecutter.project_slug}}/backend/app/app/schemas/user.py | blockchain-Bobby/full-stack-flask-couchbase | d79ed8d6cd1f610fd68a7cd234a0104deb874933 | [
"MIT"
] | 11 | 2018-11-02T21:50:22.000Z | 2020-02-07T18:48:48.000Z | {{cookiecutter.project_slug}}/backend/app/app/schemas/user.py | blockchain-Bobby/full-stack-flask-couchbase | d79ed8d6cd1f610fd68a7cd234a0104deb874933 | [
"MIT"
] | 9 | 2019-03-29T09:26:18.000Z | 2021-07-09T09:37:45.000Z | # Import standard library packages
# Import installed packages
# Import app code
| 22.352941 | 46 | 0.721053 | # Import standard library packages
# Import installed packages
from marshmallow import fields
# Import app code
from .base import BaseSchema
class UserSchema(BaseSchema):
username = fields.Str()
full_name = fields.Str()
email = fields.Str()
admin_roles = fields.List(fields.Str())
admin_channels ... | 0 | 0 | 0 | 213 | 0 | 0 | 0 | 16 | 67 |
48f418fc8cf6fc6f8905caead3afccfc8f007849 | 2,547 | py | Python | pilbox/errors.py | joevandyk/pilbox | b84732a78e5bdb2d24bf7ef4177d45806ac03ea6 | [
"Apache-2.0"
] | null | null | null | pilbox/errors.py | joevandyk/pilbox | b84732a78e5bdb2d24bf7ef4177d45806ac03ea6 | [
"Apache-2.0"
] | null | null | null | pilbox/errors.py | joevandyk/pilbox | b84732a78e5bdb2d24bf7ef4177d45806ac03ea6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
#
# Copyright 2013 Adam Gschwender
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 23.366972 | 75 | 0.723596 | #!/usr/bin/env python
#
# Copyright 2013 Adam Gschwender
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 0 | 323 | 0 | 767 | 0 | 0 | 0 | -3 | 752 |
64782e82f238b101a75e51b7e166317fd700156b | 758 | py | Python | setup.py | simrit1/mydbot | 51960f5cf1c04a494a6756f4c2d52f259e17c09d | [
"MIT"
] | 1 | 2021-06-13T04:45:46.000Z | 2021-06-13T04:45:46.000Z | setup.py | simrit1/mydbot | 51960f5cf1c04a494a6756f4c2d52f259e17c09d | [
"MIT"
] | null | null | null | setup.py | simrit1/mydbot | 51960f5cf1c04a494a6756f4c2d52f259e17c09d | [
"MIT"
] | null | null | null | from setuptools import find_packages, setup
setup(
name="mydbot",
version="0.1",
description="hmmm",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
url="https://github.com/Datavorous/sbutilcog",
author="Datavorous",
author_email="digestingdata1... | 31.583333 | 113 | 0.653034 | from setuptools import find_packages, setup
setup(
name="mydbot",
version="0.1",
description="hmmm",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
url="https://github.com/Datavorous/sbutilcog",
author="Datavorous",
author_email="digestingdata1... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4060bc2e860efb7d20242f247f1136770831d189 | 1,968 | py | Python | ggr/util/go_utils.py | vervacity/ggr-project | 7a9155c5fb573f7b877c63390f8052fcda5b6f6e | [
"MIT"
] | 1 | 2021-11-19T15:15:04.000Z | 2021-11-19T15:15:04.000Z | ggr/util/go_utils.py | vervacity/ggr-project | 7a9155c5fb573f7b877c63390f8052fcda5b6f6e | [
"MIT"
] | null | null | null | ggr/util/go_utils.py | vervacity/ggr-project | 7a9155c5fb573f7b877c63390f8052fcda5b6f6e | [
"MIT"
] | null | null | null | """description: helpful fns for GO terms
"""
import pandas as pd
def is_enriched(go_file, filter_good_terms=False):
"""clean up terms and check if any terms in desired list
"""
# pull in go terms
go_terms = pd.read_csv(go_file, sep="\t")
go_terms = go_terms[go_terms["domain"] == "BP"]
go_term... | 22.883721 | 60 | 0.54624 | """description: helpful fns for GO terms
"""
import pandas as pd
class GoParams(object):
"""clean up and othe fns
"""
REMOVE_SUBSTRINGS = [
"anatomical",
"ameboidal",
"animal organ",
"multicellular organism",
"cellular developmental",
"tube",
"regul... | 0 | 0 | 0 | 993 | 0 | 0 | 0 | 0 | 23 |
9b58ace25ce47aa23c1a569a4be2518f7db36e67 | 3,199 | py | Python | GPUPerfStudio/Server/ClientScripts/PS2DataMiner.py | davidlee80/amd-gpuperfstudio-dx12 | 4ce82d2eb0c9b8a8fc2889372b370ab23383a0fe | [
"MIT"
] | 1 | 2017-03-25T02:09:15.000Z | 2017-03-25T02:09:15.000Z | GPUPerfStudio/Server/ClientScripts/PS2DataMiner.py | davidlee80/amd-gpuperfstudio-dx12 | 4ce82d2eb0c9b8a8fc2889372b370ab23383a0fe | [
"MIT"
] | null | null | null | GPUPerfStudio/Server/ClientScripts/PS2DataMiner.py | davidlee80/amd-gpuperfstudio-dx12 | 4ce82d2eb0c9b8a8fc2889372b370ab23383a0fe | [
"MIT"
] | 3 | 2017-03-15T03:35:13.000Z | 2022-02-23T06:29:02.000Z | import urllib2
import re
# input:
# address: the address of a machine running PerfStudio Server
# frames: number of frames to capture
#
# Connects to the specified URL an returns a list of api calls in the following format:
# <interface> <function name> <parameter list> <returned value>
# the last parameter is ... | 18.707602 | 96 | 0.509534 | import urllib2
import re
# input:
# address: the address of a machine running PerfStudio Server
# frames: number of frames to capture
#
# Connects to the specified URL an returns a list of api calls in the following format:
# <interface> <function name> <parameter list> <returned value>
# the last parameter is ... | 0 | 0 | 0 | 0 | 0 | 2,258 | 0 | 0 | 112 |
27ca40da609e0679957abe3b19a564363fa252d8 | 1,497 | py | Python | file/minmax.py | guisolski/checkersGame | c69cb761994ab5a9275cd02cf65f1c90e1341f9d | [
"MIT"
] | 2 | 2020-04-17T22:32:15.000Z | 2020-06-28T13:06:46.000Z | file/minmax.py | guisolski/checkersGame | c69cb761994ab5a9275cd02cf65f1c90e1341f9d | [
"MIT"
] | null | null | null | file/minmax.py | guisolski/checkersGame | c69cb761994ab5a9275cd02cf65f1c90e1341f9d | [
"MIT"
] | null | null | null | import sys
# Python3 program to demonstrate
# working of Alpha-Beta Pruning
# Initial values of Aplha and Beta
MAX, MIN = sys.maxsize, sys.maxsize*-1
# Returns optimal value for current player
#(Initially called for root and maximizer)
| 27.722222 | 66 | 0.488978 | import sys
# Python3 program to demonstrate
# working of Alpha-Beta Pruning
# Initial values of Aplha and Beta
MAX, MIN = sys.maxsize, sys.maxsize*-1
# Returns optimal value for current player
#(Initially called for root and maximizer)
def minimax(depth, nodeIndex, maximizingPlayer,
value... | 0 | 0 | 0 | 0 | 0 | 1,212 | 0 | 0 | 24 |
3c39904a84d6f502c15f3de25f5bc635eee688bf | 1,303 | py | Python | shift_cipher.py | GanSama/Crypto_Func | 43e5e86391d9b10a942bb850ac57a287fe280dc0 | [
"MIT"
] | null | null | null | shift_cipher.py | GanSama/Crypto_Func | 43e5e86391d9b10a942bb850ac57a287fe280dc0 | [
"MIT"
] | null | null | null | shift_cipher.py | GanSama/Crypto_Func | 43e5e86391d9b10a942bb850ac57a287fe280dc0 | [
"MIT"
] | null | null | null | # File Name : shift_cipher.py
# Description : implement functions related to shift_cipher
# Author : Ganyuan Cao
# encrypt function
# encrypt function
# brute force
# main
if __name__ == "__main__":
main()
| 26.591837 | 228 | 0.623945 | # File Name : shift_cipher.py
# Description : implement functions related to shift_cipher
# Author : Ganyuan Cao
# encrypt function
def encrypt(key, plain):
plain = plain.lower()
cipher = "The ciphertext is: "
for i in range(0, len(plain)):
ci = (ord(plain[i]) - 97 + key) % 26
cc = chr(ci ... | 0 | 0 | 0 | 0 | 0 | 993 | 0 | 0 | 90 |
4b9d07cd3748b3137700f58f41deea530b27573c | 985 | py | Python | applications/api.py | xzzy/statdev | b2c3eb3ad4d8aab44d0f67fc526da1a69b4d86a2 | [
"Apache-2.0"
] | null | null | null | applications/api.py | xzzy/statdev | b2c3eb3ad4d8aab44d0f67fc526da1a69b4d86a2 | [
"Apache-2.0"
] | 7 | 2017-03-13T02:00:21.000Z | 2018-01-02T04:03:02.000Z | applications/api.py | xzzy/statdev | b2c3eb3ad4d8aab44d0f67fc526da1a69b4d86a2 | [
"Apache-2.0"
] | 2 | 2017-02-16T02:18:21.000Z | 2017-02-16T02:22:02.000Z | """
This is a upload wrapper for the ajax uploader widget for django forms.
"""
| 31.774194 | 83 | 0.782741 | from django.http import HttpResponse
from django.template import Context
from django.template.loader import render_to_string, get_template
from django.conf import settings
from django.core.exceptions import ValidationError
from confy import env
import json
from django.utils.safestring import SafeText
from django.utils.... | 0 | 0 | 0 | 0 | 0 | 426 | 0 | 146 | 331 |
ce9aa7d7e7f1b88e9aab1b9dd6b8caf2edcfdb96 | 1,127 | py | Python | helpers/funcs.py | sujaldev/skylon-core | af6657b1e806854d862e5731e39dba8aad6f0d01 | [
"MIT"
] | 1 | 2021-08-29T03:53:40.000Z | 2021-08-29T03:53:40.000Z | helpers/funcs.py | sujaldev/skylon2 | af6657b1e806854d862e5731e39dba8aad6f0d01 | [
"MIT"
] | null | null | null | helpers/funcs.py | sujaldev/skylon2 | af6657b1e806854d862e5731e39dba8aad6f0d01 | [
"MIT"
] | null | null | null |
def inside(constant, char):
"""
NORMALLY THE STATEMENT "" in "any_string" WILL RETURN TRUE, THIS FUNCTION AVOIDS THAT
READ AS: "IF INSIDE CONSTANT IS CHAR"
"""
if char != "":
return char in constant
else:
return False
| 24.5 | 89 | 0.65661 | from helpers.CONSTANTS import WHITESPACE, ASCII_DIGIT, ASCII_ALPHA
def is_whitespace(string):
return all([char in WHITESPACE for char in string])
def inside(constant, char):
"""
NORMALLY THE STATEMENT "" in "any_string" WILL RETURN TRUE, THIS FUNCTION AVOIDS THAT
READ AS: "IF INSIDE CONSTANT IS CHAR... | 3 | 0 | 0 | 0 | 0 | 678 | 0 | 45 | 137 |
8ff4d46cef1208c9f8f13eec3900fff12d250367 | 5,754 | py | Python | cpanel/models/app/dataset/dataset_torch.py | NikolayZakharevich/music-processing | 516a3bca585f211d232cac7ede6cc417fb8878fe | [
"MIT"
] | null | null | null | cpanel/models/app/dataset/dataset_torch.py | NikolayZakharevich/music-processing | 516a3bca585f211d232cac7ede6cc417fb8878fe | [
"MIT"
] | null | null | null | cpanel/models/app/dataset/dataset_torch.py | NikolayZakharevich/music-processing | 516a3bca585f211d232cac7ede6cc417fb8878fe | [
"MIT"
] | null | null | null |
BATCH_SIZE = 9
TEST_SPLIT_SEED = 2021
| 31.442623 | 105 | 0.633994 | import os
from typing import Optional, Callable, Union, Any
import numpy as np
import torch
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import LabelEncoder, MultiLabelBinarizer
from torch import Tensor
from torch.utils.data import Dataset, DataLoader
from app.common.utils import co... | 0 | 0 | 0 | 2,514 | 0 | 2,477 | 0 | 290 | 427 |
20031ca0b4e6ea53128a03099a9c9c2a965fd603 | 488 | py | Python | backend/django_app/core/api/serializers/commission.py | bekurmann/BA_polity | 933c9df9d935066cc498c5da8e1e0f68742f6ee5 | [
"MIT"
] | null | null | null | backend/django_app/core/api/serializers/commission.py | bekurmann/BA_polity | 933c9df9d935066cc498c5da8e1e0f68742f6ee5 | [
"MIT"
] | null | null | null | backend/django_app/core/api/serializers/commission.py | bekurmann/BA_polity | 933c9df9d935066cc498c5da8e1e0f68742f6ee5 | [
"MIT"
] | null | null | null |
# import models
# *****************************************************************************************
# Commission
# ***************************************************************************************** | 32.533333 | 91 | 0.444672 | from rest_framework import serializers
# import models
from core.models import Commission
# *****************************************************************************************
# Commission
# *****************************************************************************************
class CommissionSerializer(seri... | 0 | 0 | 0 | 178 | 0 | 0 | 0 | 30 | 66 |
868ca74980db5d9fdd69cf1ca47c14f6da50669b | 537 | py | Python | classical_control_theory/core.py | andreamunafo/automatic_control | dd1d89f732bfd8d95b0ebef6fe99df29b18a1fc2 | [
"Apache-2.0"
] | null | null | null | classical_control_theory/core.py | andreamunafo/automatic_control | dd1d89f732bfd8d95b0ebef6fe99df29b18a1fc2 | [
"Apache-2.0"
] | null | null | null | classical_control_theory/core.py | andreamunafo/automatic_control | dd1d89f732bfd8d95b0ebef6fe99df29b18a1fc2 | [
"Apache-2.0"
] | null | null | null | # AUTOGENERATED! DO NOT EDIT! File to edit: 99_refs.ipynb (unless otherwise specified).
__all__ = []
# Cell
import matplotlib.pyplot as plt
plt.style.use('seaborn-white')
# Cell | 24.409091 | 87 | 0.668529 | # AUTOGENERATED! DO NOT EDIT! File to edit: 99_refs.ipynb (unless otherwise specified).
__all__ = []
# Cell
import numpy as np
import matplotlib.pyplot as plt
from matplotlib.animation import FuncAnimation
plt.style.use('seaborn-white')
# Cell
def _subfigure(rows, cols):
fig = plt.figure()
fig.subplots_adj... | 0 | 0 | 0 | 0 | 0 | 267 | 0 | 22 | 67 |
018ba419db263144ea880926799b5afc312bd110 | 5,494 | py | Python | run.py | philipkariuki/password-locker | 241527e1ad13231347c0070c9f1c67e85bf620d0 | [
"MIT"
] | null | null | null | run.py | philipkariuki/password-locker | 241527e1ad13231347c0070c9f1c67e85bf620d0 | [
"MIT"
] | null | null | null | run.py | philipkariuki/password-locker | 241527e1ad13231347c0070c9f1c67e85bf620d0 | [
"MIT"
] | null | null | null | from user import User # Importing the user class
from credentials import Credentials # Importing credentials class
def create_user(first_name,last_name,email,password):
"""
Function to create new user
"""
new_user = User(first_name,last_name,email,password)
return new_user
def save_user(user):
'''
Function to... | 29.068783 | 213 | 0.641063 | from user import User # Importing the user class
from credentials import Credentials # Importing credentials class
def create_user(first_name,last_name,email,password):
"""
Function to create new user
"""
new_user = User(first_name,last_name,email,password)
return new_user
def save_user(user):
'''
Function to... | 3 | 0 | 0 | 0 | 0 | 4,502 | 0 | 0 | 139 |
727889f84bdda65ba74ef4dfad1fd655008267e7 | 409 | py | Python | modules/database/engine.py | chrisdewa/kaggle-basic-antiraid | cf26678acb2e3a563e1a9e0cec89417c6e3b6983 | [
"MIT"
] | null | null | null | modules/database/engine.py | chrisdewa/kaggle-basic-antiraid | cf26678acb2e3a563e1a9e0cec89417c6e3b6983 | [
"MIT"
] | null | null | null | modules/database/engine.py | chrisdewa/kaggle-basic-antiraid | cf26678acb2e3a563e1a9e0cec89417c6e3b6983 | [
"MIT"
] | null | null | null | from odmantic import AIOEngine
__all__ = (
'engine',
)
# Engine for a local database
from config import DATABASE_NAME
engine = AIOEngine(database=DATABASE_NAME)
# Engine for an atlas or hosted database
# from motor.motor_asyncio import AsyncIOMotorClient
# from config import DATABASE_URL
# client = AsyncIOMotor... | 22.722222 | 66 | 0.789731 | from odmantic import AIOEngine
__all__ = (
'engine',
)
# Engine for a local database
from config import DATABASE_NAME
engine = AIOEngine(database=DATABASE_NAME)
# Engine for an atlas or hosted database
# from motor.motor_asyncio import AsyncIOMotorClient
# from config import DATABASE_URL
# client = AsyncIOMotor... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c64ce83957c6eaa971e150b3c43a9b70c07a9bc3 | 2,009 | py | Python | main.py | MatheusRV/Analysis-of-Algorithms-Course | 4c1f4ccb8349b894653128be7e38d3045b0f5c13 | [
"MIT"
] | null | null | null | main.py | MatheusRV/Analysis-of-Algorithms-Course | 4c1f4ccb8349b894653128be7e38d3045b0f5c13 | [
"MIT"
] | null | null | null | main.py | MatheusRV/Analysis-of-Algorithms-Course | 4c1f4ccb8349b894653128be7e38d3045b0f5c13 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
"""
Module Docstring
"""
__author__ = "Matheus Rocha Vieira"
__version__ = "0.0.1"
__license__ = "GNU GPLv3"
import argparse
import numpy as np
def main(args):
""" Main entry point of the app """
unsorted_array = []
if args.order == 'ASC':
unsorted_array = list(range(0, int(args.instanc... | 20.927083 | 77 | 0.6889 | #!/usr/bin/env python3
"""
Module Docstring
"""
__author__ = "Matheus Rocha Vieira"
__version__ = "0.0.1"
__license__ = "GNU GPLv3"
import argparse
import numpy as np
from algorithms import *
def main(args):
""" Main entry point of the app """
unsorted_array = []
if args.order == 'ASC':
unsorted_array = list(... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 22 |
c9e9fe020400afcf44abd6e53f9ff649df9fdedd | 4,716 | py | Python | cpp/tools/utils/generate_model_header.py | SiliconLabs/mltk | 56b19518187e9d1c8a0d275de137fc9058984a1f | [
"Zlib"
] | null | null | null | cpp/tools/utils/generate_model_header.py | SiliconLabs/mltk | 56b19518187e9d1c8a0d275de137fc9058984a1f | [
"Zlib"
] | 1 | 2021-11-19T20:10:09.000Z | 2021-11-19T20:10:09.000Z | cpp/tools/utils/generate_model_header.py | sldriedler/mltk | d82a60359cf875f542a2257f1bc7d8eb4bdaa204 | [
"Zlib"
] | null | null | null |
import os
import argparse
import json
from mltk.core.model import load_mltk_model
from mltk.core.tflite_model import TfliteModel
from mltk.core.tflite_micro import TfliteMicro
from mltk.utils.bin2header import bin2header
from mltk.utils.path import fullpath, create_tempdir
from mltk.utils.hasher import hash_file
from... | 37.728 | 150 | 0.681298 |
import os
import argparse
import json
from mltk.core.model import load_mltk_model
from mltk.core.tflite_model import TfliteModel
from mltk.core.tflite_micro import TfliteMicro
from mltk.utils.bin2header import bin2header
from mltk.utils.path import fullpath, create_tempdir
from mltk.utils.hasher import hash_file
from... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
b123cb6fefe1d848e5e7c6311c77846d2b00c334 | 603 | py | Python | classes_lecture/classscratch.py | brittainhard/py | aede05530ad05a8319fef7e76b49e4bf3cebebac | [
"MIT"
] | null | null | null | classes_lecture/classscratch.py | brittainhard/py | aede05530ad05a8319fef7e76b49e4bf3cebebac | [
"MIT"
] | null | null | null | classes_lecture/classscratch.py | brittainhard/py | aede05530ad05a8319fef7e76b49e4bf3cebebac | [
"MIT"
] | null | null | null | import sys
a = One(1)
b = Two(2)
print(sys.getsizeof(a))
print(sys.getsizeof(b))
| 14.023256 | 34 | 0.593698 | import sys
from example import Circle
class Potato:
__slots__ = ["apple"]
def __init__(self, potato):
self.potato = potato
@property
def potato(self):
return self.two + self.one
@potato.setter
def potato(self, potato):
self.apple = 1
def print_attributes(self):... | 0 | 91 | 0 | 330 | 0 | 0 | 0 | 5 | 91 |
18e2e220676f21a6a68c1034917cc258cdc610d6 | 9,991 | py | Python | tbias/metrics/WEAT.py | mikecunha/textbias | ddb5997f346e757a1e43d9edfa5d4946aaa5977a | [
"MIT"
] | 4 | 2017-12-26T21:23:14.000Z | 2018-04-03T15:45:52.000Z | tbias/metrics/WEAT.py | mikecunha/tbias | ddb5997f346e757a1e43d9edfa5d4946aaa5977a | [
"MIT"
] | null | null | null | tbias/metrics/WEAT.py | mikecunha/tbias | ddb5997f346e757a1e43d9edfa5d4946aaa5977a | [
"MIT"
] | null | null | null |
CACHE_SIZE = 2**8 # 256
| 37.988593 | 79 | 0.558503 | import numpy as np
from scipy.misc import comb
import functools
from itertools import combinations
from random import shuffle
import logging
CACHE_SIZE = 2**8 # 256
class WEAT(object):
"""Word Embedding Association Test"""
def __init__(self, model, logger=None):
# pass in a an embedding as a gensi... | 0 | 749 | 0 | 9,050 | 0 | 0 | 0 | 9 | 156 |
7ee8ac1c79191f59103989b876c6cea41095dfc1 | 558 | py | Python | plot4.py | andrewrgarcia/hello-world-python | 6eca2a03b48c9d254bfaed52653fec7eca5bcb0c | [
"MIT"
] | 1 | 2020-07-20T04:52:48.000Z | 2020-07-20T04:52:48.000Z | plot4.py | andrewrgarcia/hello-world-python | 6eca2a03b48c9d254bfaed52653fec7eca5bcb0c | [
"MIT"
] | null | null | null | plot4.py | andrewrgarcia/hello-world-python | 6eca2a03b48c9d254bfaed52653fec7eca5bcb0c | [
"MIT"
] | 2 | 2019-02-17T02:33:06.000Z | 2020-01-15T22:55:58.000Z | import numpy as np
import matplotlib.pyplot as plt
'data building'
x=np.linspace(-5,5,20)
y=x**2
z=5*np.sin(x)
'plotting'
#make plots
#plt figure is a good way to return and number (or name) separate figures
plt.figure(2)
plt.plot(x,y,'k',label = 'black')
plt.plot(x,z,'b',label = 'blue')
plt.legend(title='line colo... | 18.6 | 73 | 0.65233 | import numpy as np
import matplotlib.pyplot as plt
'data building'
x=np.linspace(-5,5,20)
y=x**2
z=5*np.sin(x)
'plotting'
#make plots
#plt figure is a good way to return and number (or name) separate figures
plt.figure(2)
plt.plot(x,y,'k',label = 'black')
plt.plot(x,z,'b',label = 'blue')
plt.legend(title='line colo... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
a256ee95692465e97f0bdecb9b4e2f2b5bc09d7b | 84 | py | Python | index.py | MozillaReality/aws-cfn-ses-domain | e94c1213527b9c51677dfe714b4b0fe520a20763 | [
"Apache-2.0"
] | null | null | null | index.py | MozillaReality/aws-cfn-ses-domain | e94c1213527b9c51677dfe714b4b0fe520a20763 | [
"Apache-2.0"
] | 1 | 2020-01-10T20:47:26.000Z | 2020-01-10T20:47:26.000Z | index.py | MozillaReality/aws-cfn-ses-domain | e94c1213527b9c51677dfe714b4b0fe520a20763 | [
"Apache-2.0"
] | null | null | null | # noinspection PyUnresolvedReferences
| 28 | 45 | 0.904762 | # noinspection PyUnresolvedReferences
from aws_cfn_ses_domain import lambda_handler
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 24 | 22 |
47160b2336a2f9f21ba32520b60dfbb450a829ed | 1,778 | py | Python | 2018/day03.py | harendra263/AdventOfCode | 86db33409961681dcb05be9bf9197f7464ee7697 | [
"MIT"
] | null | null | null | 2018/day03.py | harendra263/AdventOfCode | 86db33409961681dcb05be9bf9197f7464ee7697 | [
"MIT"
] | null | null | null | 2018/day03.py | harendra263/AdventOfCode | 86db33409961681dcb05be9bf9197f7464ee7697 | [
"MIT"
] | null | null | null | from typing import Tuple
rgx = "#([0-9]+) @ ([0-9]+),([0-9]+): ([0-9]+)x([0-9]+)"
Coord = Tuple[int, int]
# assert Rectangle.from_claim("#123 @ 3,2: 5x4") == Rectangle(123,3, 2,8, 6)
# print(Rectangle.all_squares("#123 @ 3,2: 5x4"))
with open("data/day03.txt") as f:
claims = [line.strip() for line in f]
p... | 25.042254 | 86 | 0.637233 | from typing import NamedTuple, Iterator, Tuple, Dict, List
import re
from collections import Counter
rgx = "#([0-9]+) @ ([0-9]+),([0-9]+): ([0-9]+)x([0-9]+)"
Coord = Tuple[int, int]
class Rectangle(NamedTuple):
id: int
x_lo: int
y_lo: int
x_hi: int
y_hi: int
@staticmethod
def from_claim(... | 0 | 196 | 0 | 278 | 0 | 744 | 0 | 32 | 136 |
e0b54bbb7e2eb21e2f7ab6a556d6aad1c2739d4d | 11,826 | py | Python | swpt_creditors/procedures/creditors.py | epandurski/swpt_creditors | 35b9c6fa8ec84fe26e203a2604aff9cd5280dc4c | [
"MIT"
] | null | null | null | swpt_creditors/procedures/creditors.py | epandurski/swpt_creditors | 35b9c6fa8ec84fe26e203a2604aff9cd5280dc4c | [
"MIT"
] | null | null | null | swpt_creditors/procedures/creditors.py | epandurski/swpt_creditors | 35b9c6fa8ec84fe26e203a2604aff9cd5280dc4c | [
"MIT"
] | 1 | 2020-01-16T13:24:31.000Z | 2020-01-16T13:24:31.000Z | from typing import TypeVar, Callable
from swpt_creditors.extensions import db
from swpt_creditors.models import Creditor, LogEntry
T = TypeVar('T')
atomic: Callable[[T], T] = db.atomic
ACTIVATION_STATUS_MASK = Creditor.STATUS_IS_ACTIVATED_FLAG | Creditor.STATUS_IS_DEACTIVATED_FLAG
LOG_ENTRY_NONE_AUX_FIELDS_EXCLUDED_T... | 31.705094 | 108 | 0.701674 | from typing import TypeVar, Callable, List, Tuple, Optional, Iterable
from random import randint
from datetime import datetime, timezone, timedelta
from sqlalchemy.exc import IntegrityError
from sqlalchemy.sql.expression import func
from sqlalchemy.orm import exc, joinedload
from swpt_creditors.extensions import db
fro... | 0 | 6,031 | 0 | 0 | 0 | 4,344 | 0 | 228 | 706 |
27590c36dbe740d219d3211a27582c376b167192 | 20,849 | py | Python | duden/main.py | wyleyr/duden | 88ad75b9e729093c1dfcc2dd0512243e74c97d31 | [
"MIT"
] | null | null | null | duden/main.py | wyleyr/duden | 88ad75b9e729093c1dfcc2dd0512243e74c97d31 | [
"MIT"
] | null | null | null | duden/main.py | wyleyr/duden | 88ad75b9e729093c1dfcc2dd0512243e74c97d31 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Dudendown
This script takes a german word as a commandline input and returns its meaning
overview, as parsed from the dictionary on the website `www.duden.de`.
Words with non-ascii characters should be given using following
transliteration:
* -> ae
* -> oe
* -> ue... | 30.979198 | 79 | 0.577006 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Dudendown
This script takes a german word as a commandline input and returns its meaning
overview, as parsed from the dictionary on the website `www.duden.de`.
Words with non-ascii characters should be given using following
transliteration:
* ä -> ae
* ö -> oe
* ü ->... | 21 | 4,916 | 0 | 6,934 | 0 | 2,309 | 0 | 91 | 136 |
cfd14a5551d09a201c59145ffd7ad54f5cd8ca73 | 1,274 | py | Python | imperfect/verify.py | 7imbrook/imperfect | 9bb7e6eee27dcff34ccd1795c53764329c27d33f | [
"MIT"
] | 1 | 2021-03-30T05:09:01.000Z | 2021-03-30T05:09:01.000Z | imperfect/verify.py | 7imbrook/imperfect | 9bb7e6eee27dcff34ccd1795c53764329c27d33f | [
"MIT"
] | 1 | 2020-10-02T20:31:34.000Z | 2020-10-02T20:31:34.000Z | imperfect/verify.py | 7imbrook/imperfect | 9bb7e6eee27dcff34ccd1795c53764329c27d33f | [
"MIT"
] | 2 | 2020-12-02T01:02:49.000Z | 2022-01-27T13:05:26.000Z | import sys
if __name__ == "__main__": # pragma: no cover
for f in sys.argv[1:]:
verify(f)
| 26 | 70 | 0.548666 | import configparser
import io
import sys
from imperfect import parse_string
def verify(name: str) -> None:
with open(name) as f:
data = f.read()
conf = parse_string(data)
buf = io.StringIO()
conf.build(buf)
if data != buf.getvalue():
print(name, "FAIL ROUND TRIP")
return
... | 0 | 0 | 0 | 0 | 0 | 1,079 | 0 | -1 | 90 |
017617040cf76d6f6bd327a7e03057734197c52a | 439 | py | Python | apps/accounts/migrations/0006_auto_20200111_2216.py | akaytatsu/incricao_conferencia | 9ab774c6fe30cdb1a45d3732ade394df6e3b4258 | [
"MIT"
] | null | null | null | apps/accounts/migrations/0006_auto_20200111_2216.py | akaytatsu/incricao_conferencia | 9ab774c6fe30cdb1a45d3732ade394df6e3b4258 | [
"MIT"
] | 3 | 2019-12-22T22:07:48.000Z | 2019-12-23T21:38:31.000Z | apps/accounts/migrations/0006_auto_20200111_2216.py | akaytatsu/inscricao_conferencia | 9ab774c6fe30cdb1a45d3732ade394df6e3b4258 | [
"MIT"
] | null | null | null | # Generated by Django 3.0.1 on 2020-01-11 22:16
| 23.105263 | 99 | 0.621868 | # Generated by Django 3.0.1 on 2020-01-11 22:16
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('accounts', '0005_auto_20200111_2109'),
]
operations = [
migrations.AlterField(
model_name='account',
name='telefone'... | 0 | 0 | 0 | 325 | 0 | 0 | 0 | 19 | 46 |
bcd84032e5fa2056ebc208aca2616756ef4558e3 | 2,910 | py | Python | catalogs/generateContCat.py | tvwenger/tmbidl | 7a2e53f103877bb8f0e6f2f6211c660395ed85fb | [
"MIT"
] | 1 | 2016-10-17T16:13:43.000Z | 2016-10-17T16:13:43.000Z | catalogs/generateContCat.py | tvwenger/tmbidl | 7a2e53f103877bb8f0e6f2f6211c660395ed85fb | [
"MIT"
] | null | null | null | catalogs/generateContCat.py | tvwenger/tmbidl | 7a2e53f103877bb8f0e6f2f6211c660395ed85fb | [
"MIT"
] | null | null | null | # generateContCat.py - generate continuum catalog
#
# Usage:
#
# > python generateContCat.py <catalog name>
#
if __name__=="__main__":
import sys
generateContCat(str(sys.argv[1]).strip())
| 35.487805 | 259 | 0.520619 | # generateContCat.py - generate continuum catalog
#
# Usage:
#
# > python generateContCat.py <catalog name>
#
def generateContCat(proj='hii'):
# set the output file
outfile = 'source_catalog'
fout = open(outfile, 'w')
print " "
print "Reading data from proj :", proj
print " "
# define ... | 0 | 0 | 0 | 0 | 0 | 2,672 | 0 | -11 | 49 |
69dd9e7b18ffc69350d5b562f67ede0c60cddfe8 | 18,308 | py | Python | matteautils/dataset/dataset_pb2.py | mattea/mattea-utils | 030ba2d4014b62b05eb8e00006d6e98c790b5650 | [
"Apache-2.0"
] | null | null | null | matteautils/dataset/dataset_pb2.py | mattea/mattea-utils | 030ba2d4014b62b05eb8e00006d6e98c790b5650 | [
"Apache-2.0"
] | null | null | null | matteautils/dataset/dataset_pb2.py | mattea/mattea-utils | 030ba2d4014b62b05eb8e00006d6e98c790b5650 | [
"Apache-2.0"
] | null | null | null | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: dataset.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _refle... | 39.036247 | 1,659 | 0.735908 | # Generated by the protocol buffer compiler. DO NOT EDIT!
# source: dataset.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf import reflection as _refle... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
c833f12dc33355ecb77713d3dc4ee174e9879a7e | 13,369 | py | Python | ai/Algorithm/PathfinderRRT.py | wonwon0/RobocupStrategyIA | 891028f616d476b05b23b40924d7c99502a718e3 | [
"MIT"
] | null | null | null | ai/Algorithm/PathfinderRRT.py | wonwon0/RobocupStrategyIA | 891028f616d476b05b23b40924d7c99502a718e3 | [
"MIT"
] | null | null | null | ai/Algorithm/PathfinderRRT.py | wonwon0/RobocupStrategyIA | 891028f616d476b05b23b40924d7c99502a718e3 | [
"MIT"
] | null | null | null | # Under MIT License, see LICENSE.txt
"""
Module intelligent contenant l'implementation d'un Rapidly exploring Random
Tree. Le module contient une classe qui peut tre instancie et qui calcule
les trajectoires des robots de l'quipe. Les dtails de l'algorithme sont
disponibles sur la page wikipedia. Code o... | 31.906921 | 125 | 0.601167 | # Under MIT License, see LICENSE.txt
"""
Module intelligent contenant l'implementation d'un Rapidly exploring Random
Tree. Le module contient une classe qui peut être instanciée et qui calcule
les trajectoires des robots de l'équipe. Les détails de l'algorithme sont
disponibles sur la page wikipedia. Co... | 108 | 0 | 0 | 8,463 | 0 | 686 | 0 | 116 | 292 |
042950172b9f65af3799e877802ec8d2c6f52d37 | 11,594 | py | Python | organice/management/settings.py | bittner/django-organice | 7621e4cf2361db84b42d77e5e72e341559eb9906 | [
"Apache-2.0"
] | 34 | 2015-04-22T12:47:32.000Z | 2022-03-18T02:16:17.000Z | organice/management/settings.py | TebelloX/django-organice | 7621e4cf2361db84b42d77e5e72e341559eb9906 | [
"Apache-2.0"
] | 13 | 2015-07-24T05:25:56.000Z | 2020-09-02T17:38:35.000Z | organice/management/settings.py | TebelloX/django-organice | 7621e4cf2361db84b42d77e5e72e341559eb9906 | [
"Apache-2.0"
] | 14 | 2015-05-01T20:42:49.000Z | 2022-03-25T01:12:34.000Z | #
# Copyright 2014-2015 Peter Bittner <django@bittner.it>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 39.037037 | 106 | 0.589874 | #
# Copyright 2014-2015 Peter Bittner <django@bittner.it>
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... | 0 | 823 | 0 | 10,013 | 0 | 0 | 0 | -24 | 90 |
23431f128855baf4e7c89d2e13d640c5759caea6 | 8,884 | py | Python | cookschedule/tests.py | yuxuan-bill/Cook-Scheduler | 1bd9699ab1f8ba711987c0494a207961d859ec12 | [
"MIT"
] | null | null | null | cookschedule/tests.py | yuxuan-bill/Cook-Scheduler | 1bd9699ab1f8ba711987c0494a207961d859ec12 | [
"MIT"
] | null | null | null | cookschedule/tests.py | yuxuan-bill/Cook-Scheduler | 1bd9699ab1f8ba711987c0494a207961d859ec12 | [
"MIT"
] | null | null | null |
# Create your tests here.
leo = Schedule.leo
darcy = Schedule.darcy
bill = Schedule.bill
daniel = Schedule.daniel
participants = [x for x, _ in Schedule.participants]
user = "fake_test_user"
| 37.485232 | 80 | 0.565061 | from django.test import TestCase
from .models import *
# Create your tests here.
leo = Schedule.leo
darcy = Schedule.darcy
bill = Schedule.bill
daniel = Schedule.daniel
participants = [x for x, _ in Schedule.participants]
user = "fake_test_user"
class ScheduleModelTests(TestCase):
def setUp(self):
sel... | 0 | 0 | 0 | 8,612 | 0 | 0 | 0 | 11 | 67 |
f22b5e0a4896b7df824569a5e7b65c126fca1c36 | 6,885 | py | Python | model/tfkg_model.py | dumpmemory/tfkg | fe642f12c6b41a60b0ac3d96458d6ad6be626e2e | [
"MIT"
] | 32 | 2021-12-07T08:28:15.000Z | 2022-03-14T06:57:44.000Z | model/tfkg_model.py | dumpmemory/tfkg | fe642f12c6b41a60b0ac3d96458d6ad6be626e2e | [
"MIT"
] | 1 | 2022-03-08T10:42:48.000Z | 2022-03-08T10:42:48.000Z | model/tfkg_model.py | dumpmemory/tfkg | fe642f12c6b41a60b0ac3d96458d6ad6be626e2e | [
"MIT"
] | 4 | 2021-12-07T08:53:50.000Z | 2022-03-07T18:21:10.000Z | import json
import os
import logging
import sys
import tensorflow as tf
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' # ERROR
logging.getLogger('tensorflow').setLevel(logging.ERROR)
logging.disable(logging.WARNING)
custom_objects = {}
# tfkg-custom-definitions
with open(sys.argv[1], "r") as f:
config = json.load(f... | 29.173729 | 102 | 0.567466 | import json
import os
import logging
import sys
import tensorflow as tf
import numpy as np
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '2' # ERROR
logging.getLogger('tensorflow').setLevel(logging.ERROR)
logging.disable(logging.WARNING)
custom_objects = {}
# tfkg-custom-definitions
with open(sys.argv[1], "r") as f:
c... | 0 | 1,424 | 0 | 1,692 | 0 | 3,265 | 0 | -3 | 45 |
43d8908f19f27c4985428ca6f435679b7ebdb92a | 683 | py | Python | sub2/retrain.py | myccpb08/AI_2nd_Pos_Neg | 31cd77ea4189173ef3bea9b517278a13b6050721 | [
"Apache-2.0"
] | null | null | null | sub2/retrain.py | myccpb08/AI_2nd_Pos_Neg | 31cd77ea4189173ef3bea9b517278a13b6050721 | [
"Apache-2.0"
] | null | null | null | sub2/retrain.py | myccpb08/AI_2nd_Pos_Neg | 31cd77ea4189173ef3bea9b517278a13b6050721 | [
"Apache-2.0"
] | null | null | null |
"""
Req 1-1-1.
read_data():
"""
"""
Req 1-1-2.
tokenize(): KoNLPy okt
"""
| 22.032258 | 92 | 0.560761 | from konlpy.tag import Okt
"""
Req 1-1-1. 데이터 읽기
read_data(): 데이터를 읽어서 저장하는 함수
"""
def read_data(filename):
data = []
with open(filename, 'r',encoding='UTF-8') as f:
for line in f:
temp = line.split('\t')
if temp[1] != "document":
data += [temp]
return d... | 135 | 0 | 0 | 0 | 0 | 475 | 0 | 5 | 68 |
79ed925e1ae866f2ebb6f78066bb10c97b4897c2 | 168 | py | Python | code/part1/font_translator_gan/_train.py | mmiikeke/calligraphy_project | 7ed9b709cd4f31207386de6a5a034c1a9bd28c47 | [
"MIT"
] | null | null | null | code/part1/font_translator_gan/_train.py | mmiikeke/calligraphy_project | 7ed9b709cd4f31207386de6a5a034c1a9bd28c47 | [
"MIT"
] | null | null | null | code/part1/font_translator_gan/_train.py | mmiikeke/calligraphy_project | 7ed9b709cd4f31207386de6a5a034c1a9bd28c47 | [
"MIT"
] | null | null | null | import os
os.system("python train.py --dataroot .\\datasets\\font --model font_translator_gan --name test_new_dataset --no_dropout --batch_size 128 --style_channel 10") | 84 | 158 | 0.779762 | import os
os.system("python train.py --dataroot .\\datasets\\font --model font_translator_gan --name test_new_dataset --no_dropout --batch_size 128 --style_channel 10") | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3d73d1e006c93f092cc1973c8bea99079ad7990f | 6,831 | py | Python | HIsomap/HIsomap.py | LynneYan/HIsomap | 48a7be138de2ea4652e60c3a9fc80f6377cbbab0 | [
"MIT"
] | 2 | 2020-01-23T02:34:41.000Z | 2020-03-04T05:26:26.000Z | HIsomap/HIsomap.py | LynneYan/HIsomap | 48a7be138de2ea4652e60c3a9fc80f6377cbbab0 | [
"MIT"
] | null | null | null | HIsomap/HIsomap.py | LynneYan/HIsomap | 48a7be138de2ea4652e60c3a9fc80f6377cbbab0 | [
"MIT"
] | null | null | null | from __future__ import division
| 35.764398 | 250 | 0.558044 | from __future__ import division
import km
import sklearn
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.neighbors import kneighbors_graph
from sklearn.neighbors import NearestNeighbors
from sklearn.utils.graph import graph_shortest_path
import json
import numpy as np
import KernelPCA
from skle... | 0 | 90 | 0 | 6,325 | 0 | 0 | 0 | 114 | 268 |
e07305189a058b6fa85684b64a0cd055fc9e2e5d | 172 | py | Python | Python Fundamentals/Functions/Lab/Task06.py | DonikaChervenkova/SoftUni | bff579c037ec48f39ed193b34bc3502a32e90732 | [
"MIT"
] | null | null | null | Python Fundamentals/Functions/Lab/Task06.py | DonikaChervenkova/SoftUni | bff579c037ec48f39ed193b34bc3502a32e90732 | [
"MIT"
] | null | null | null | Python Fundamentals/Functions/Lab/Task06.py | DonikaChervenkova/SoftUni | bff579c037ec48f39ed193b34bc3502a32e90732 | [
"MIT"
] | 1 | 2021-12-04T12:30:57.000Z | 2021-12-04T12:30:57.000Z | width = int(input())
height = int(input())
print(calculate_rectangle_area(width, height)) | 17.2 | 46 | 0.709302 | width = int(input())
height = int(input())
def calculate_rectangle_area(w, h):
rect_area = w * h
return rect_area
print(calculate_rectangle_area(width, height)) | 0 | 0 | 0 | 0 | 0 | 57 | 0 | 0 | 23 |
720fe76e4dffc600ae441370bab011b2274edeff | 19,325 | py | Python | stdnet/odm/base.py | stuaxo/python-stdnet | 78db5320bdedc3f28c5e4f38cda13a4469e35db7 | [
"BSD-3-Clause"
] | 61 | 2015-01-13T23:41:10.000Z | 2021-09-14T03:23:59.000Z | stdnet/odm/base.py | drscream/python-stdnet | 78db5320bdedc3f28c5e4f38cda13a4469e35db7 | [
"BSD-3-Clause"
] | 4 | 2015-02-28T08:57:14.000Z | 2020-12-29T17:14:43.000Z | stdnet/odm/base.py | drscream/python-stdnet | 78db5320bdedc3f28c5e4f38cda13a4469e35db7 | [
"BSD-3-Clause"
] | 12 | 2015-01-01T09:23:06.000Z | 2021-09-16T08:09:13.000Z | '''Defines Metaclasses and Base classes for stdnet Models.'''
__all__ = ['ModelMeta', 'Model', 'ModelBase', 'ModelState',
'autoincrement', 'ModelType']
ModelBase = ModelType('ModelBase', (Model,), {'abstract': True})
| 33.903509 | 80 | 0.580906 | '''Defines Metaclasses and Base classes for stdnet Models.'''
import sys
from copy import copy, deepcopy
from inspect import isclass
from stdnet.utils.exceptions import *
from stdnet.utils import UnicodeMixin, unique_tuple
from stdnet.utils.structures import OrderedDict
from .globals import hashmodel, JSPLIT... | 0 | 1,726 | 0 | 15,711 | 0 | 1,080 | 0 | 142 | 410 |
c88cee4014eb78a2320f0b66444c58bbe3b081a4 | 521 | py | Python | examples/alembic/migrations/2020-04-15_user_93d219eb7328.py | lzukowski/lzukowski.github.io | ef697005098e3c48d74092a1064f05b6cf2e3e1a | [
"MIT"
] | 15 | 2020-04-12T11:49:33.000Z | 2022-03-27T17:14:35.000Z | examples/alembic/migrations/2020-04-15_user_93d219eb7328.py | lzukowski/lzukowski.github.io | ef697005098e3c48d74092a1064f05b6cf2e3e1a | [
"MIT"
] | null | null | null | examples/alembic/migrations/2020-04-15_user_93d219eb7328.py | lzukowski/lzukowski.github.io | ef697005098e3c48d74092a1064f05b6cf2e3e1a | [
"MIT"
] | 8 | 2020-05-04T06:50:15.000Z | 2022-02-18T08:35:21.000Z | """User
Revision ID: 93d219eb7328
Revises:
Create Date: 2020-04-15 16:00:18.696276
"""
# revision identifiers, used by Alembic.
revision = '93d219eb7328'
down_revision = None
branch_labels = None
depends_on = None
| 17.965517 | 74 | 0.68714 | """User
Revision ID: 93d219eb7328
Revises:
Create Date: 2020-04-15 16:00:18.696276
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = '93d219eb7328'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():
op.create_table(
'users',... | 0 | 0 | 0 | 0 | 0 | 207 | 0 | 3 | 90 |
53d204ec1503d8e653f745ada20621fb4b25d129 | 1,153 | py | Python | scripts/cli.py | Skalwalker/SpamRecognition | f550e9a0ac46bd43f378af915611d3c97010e8a5 | [
"MIT"
] | null | null | null | scripts/cli.py | Skalwalker/SpamRecognition | f550e9a0ac46bd43f378af915611d3c97010e8a5 | [
"MIT"
] | null | null | null | scripts/cli.py | Skalwalker/SpamRecognition | f550e9a0ac46bd43f378af915611d3c97010e8a5 | [
"MIT"
] | 1 | 2020-11-10T15:09:24.000Z | 2020-11-10T15:09:24.000Z |
DEFAULT_ALGORITHM = 'mlp'
| 42.703704 | 151 | 0.712056 | import argparse
from adapter import Adapter
DEFAULT_ALGORITHM = 'mlp'
def getAdapter():
parser = argparse.ArgumentParser(description='An Artificial Neural Network model comparison using MLP and FBR to recognise spam.')
parser.add_argument('--algorithm', dest='algorithm', choices=['mlp', 'fbr'], type=str, de... | 0 | 0 | 0 | 0 | 0 | 1,059 | 0 | 0 | 67 |
f6174beaea4c135ab29708edc5da9a3c16571040 | 3,325 | py | Python | animations/utils_v1/ggr.py | TristanCacqueray/demo-render | 4c8403e684165e5e75c046ee023c1f794a6650a8 | [
"Apache-2.0"
] | 9 | 2018-02-19T14:17:12.000Z | 2021-03-27T14:46:28.000Z | animations/utils_v1/ggr.py | TristanCacqueray/demo-render | 4c8403e684165e5e75c046ee023c1f794a6650a8 | [
"Apache-2.0"
] | null | null | null | animations/utils_v1/ggr.py | TristanCacqueray/demo-render | 4c8403e684165e5e75c046ee023c1f794a6650a8 | [
"Apache-2.0"
] | null | null | null | """ Read Gimp .ggr gradient files.
Ned Batchelder, http://nedbatchelder.com
This code is in the public domain.
Update 2018: port to py3 and return uint value
"""
__version__ = '1.0.20180113'
| 31.367925 | 74 | 0.461654 | """ Read Gimp .ggr gradient files.
Ned Batchelder, http://nedbatchelder.com
This code is in the public domain.
Update 2018: port to py3 and return uint value
"""
__version__ = '1.0.20180113'
import colorsys
import math
class GimpGradient:
""" Read and interpret a Gimp .ggr gradient file.
"""
... | 0 | 0 | 0 | 3,066 | 0 | 0 | 0 | -16 | 68 |
3ede11575f94aed3e24e365af1841125a593ca60 | 4,894 | py | Python | opt/exasol/monitoring/check_backup.py | mdescobar/nagios-monitoring | 86532b45b0c9f3c6b6029c7556641dab77a566db | [
"MIT"
] | 5 | 2019-05-24T05:28:46.000Z | 2020-08-14T19:42:02.000Z | opt/exasol/monitoring/check_backup.py | mdescobar/nagios-monitoring | 86532b45b0c9f3c6b6029c7556641dab77a566db | [
"MIT"
] | 9 | 2017-04-03T10:06:39.000Z | 2018-10-24T15:30:57.000Z | opt/exasol/monitoring/check_backup.py | mdescobar/nagios-monitoring | 86532b45b0c9f3c6b6029c7556641dab77a566db | [
"MIT"
] | 7 | 2019-07-15T11:16:40.000Z | 2020-07-29T15:37:17.000Z | #!/usr/bin/python3
import time
from sys import exit, argv, maxsize
from getopt import getopt
from urllib.parse import quote_plus
pluginVersion = "18.10"
databaseName = None
hostName = None
userName = None
password = None
opts, args ... | 34.223776 | 155 | 0.612178 | #!/usr/bin/python3
import ssl, json, time
from os.path import isfile, getctime
from os import sep, remove, name
from sys import exit, argv, version_info, stdout, stderr, maxsize
from getopt import getopt
from datetime import datetime
from urllib.parse ... | 0 | 0 | 0 | 0 | 0 | 513 | 0 | 166 | 134 |
58e99354ab33a6b61aeeea173df68be1e1a5ab94 | 10,264 | py | Python | pytest_regtest.py | gdvenugopal88/pytest-regtest | 05b457552dd736032d4fe4e2bd5057427c40a630 | [
"MIT"
] | null | null | null | pytest_regtest.py | gdvenugopal88/pytest-regtest | 05b457552dd736032d4fe4e2bd5057427c40a630 | [
"MIT"
] | null | null | null | pytest_regtest.py | gdvenugopal88/pytest-regtest | 05b457552dd736032d4fe4e2bd5057427c40a630 | [
"MIT"
] | null | null | null | # encoding: utf-8
from __future__ import absolute_import, division, print_function
import functools
import sys
import pkg_resources
import py
pytest_plugins = ["pytester"]
_version = pkg_resources.require("pytest-regtest")[0].version.split(".")
__version__ = tuple(map(int, _version))
del _version
IS_PY3 = sys.ver... | 28.353591 | 97 | 0.6212 | # encoding: utf-8
from __future__ import absolute_import, division, print_function
import difflib
import functools
import os
import re
import sys
import tempfile
import pkg_resources
import py
import pytest
from _pytest._code.code import ExceptionInfo, TerminalRepr
from _pytest.outcomes import skip
from hashlib impor... | 0 | 2,527 | 0 | 1,217 | 904 | 3,422 | 0 | 21 | 578 |
bc2f9198571f8fb74ab620396e6bf677b0f46788 | 4,026 | py | Python | src/nxml2txt/rewritemmla.py | GullyBurns/nxml2txt | 51b890d12755cc2dfd1d94b4e7077288d90817c8 | [
"MIT"
] | null | null | null | src/nxml2txt/rewritemmla.py | GullyBurns/nxml2txt | 51b890d12755cc2dfd1d94b4e7077288d90817c8 | [
"MIT"
] | null | null | null | src/nxml2txt/rewritemmla.py | GullyBurns/nxml2txt | 51b890d12755cc2dfd1d94b4e7077288d90817c8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# Moves the text content of MathML <annotation> elements into an
# attribute in XML files, thus removing the annotations from the file
# text content.
# This is a component in a pipeline to convert PMC NXML files into
# text and standoffs. The whole pipeline can be run as
#
# python rewritete... | 31.952381 | 154 | 0.682563 | #!/usr/bin/env python
# Moves the text content of MathML <annotation> elements into an
# attribute in XML files, thus removing the annotations from the file
# text content.
# This is a component in a pipeline to convert PMC NXML files into
# text and standoffs. The whole pipeline can be run as
#
# python rewritete... | 0 | 0 | 0 | 0 | 0 | 2,181 | 0 | -25 | 231 |
41e150da97d1944f8a13b9fb34a0db4f39ccfa3c | 3,285 | py | Python | schematizer/models/meta_attribute_mapping_store.py | Yelp/schematizer | 035845d27945a05db475f00eb76f59e8825dbaa4 | [
"Apache-2.0"
] | 86 | 2016-11-17T17:39:13.000Z | 2021-06-01T15:19:05.000Z | schematizer/models/meta_attribute_mapping_store.py | tomzhang/schematizer | 035845d27945a05db475f00eb76f59e8825dbaa4 | [
"Apache-2.0"
] | 2 | 2016-12-01T20:57:43.000Z | 2021-09-28T09:26:25.000Z | schematizer/models/meta_attribute_mapping_store.py | tomzhang/schematizer | 035845d27945a05db475f00eb76f59e8825dbaa4 | [
"Apache-2.0"
] | 26 | 2016-11-29T22:38:11.000Z | 2021-03-02T19:44:17.000Z | # -*- coding: utf-8 -*-
# Copyright 2016 Yelp Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 32.524752 | 79 | 0.695282 | # -*- coding: utf-8 -*-
# Copyright 2016 Yelp Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... | 0 | 656 | 0 | 1,543 | 0 | 0 | 0 | 160 | 247 |
31f9fc3bfbdd32aa7b981741cfaa641c9c898445 | 2,532 | py | Python | what_apps/utility/tests.py | SlashRoot/WHAT | 69e78d01065142446234e77ea7c8c31e3482af29 | [
"MIT"
] | null | null | null | what_apps/utility/tests.py | SlashRoot/WHAT | 69e78d01065142446234e77ea7c8c31e3482af29 | [
"MIT"
] | null | null | null | what_apps/utility/tests.py | SlashRoot/WHAT | 69e78d01065142446234e77ea7c8c31e3482af29 | [
"MIT"
] | null | null | null | from django.contrib.auth.models import User
def test_user_factory(number_of_users_to_create):
'''
pseudo factory.
takes an integer.
returns a list of users.
Obviously, don't use this to make production users. Dominick.
'''
users = []
while len(users) < number_of_users_to_cre... | 32.050633 | 110 | 0.657583 | from django.test import TestCase
from django.contrib.auth.models import User
from what_apps.people.models import GenericParty
from django.test.simple import DjangoTestSuiteRunner
from django.conf import settings
class WHATTestRunner(DjangoTestSuiteRunner):
def run_tests(self, extra_tests=None, **kwargs):
... | 0 | 0 | 0 | 1,525 | 0 | 250 | 0 | 80 | 158 |
bbf032f9ff3536027b2da4e3503c709083d67bb9 | 76,844 | py | Python | BPt/main/eval.py | sahahn/ABCD_ML | a8b1c48c33f3fdc046c8922964f1c456273238da | [
"MIT"
] | 1 | 2019-09-25T23:23:49.000Z | 2019-09-25T23:23:49.000Z | BPt/main/eval.py | sahahn/ABCD_ML | a8b1c48c33f3fdc046c8922964f1c456273238da | [
"MIT"
] | 1 | 2020-04-20T20:53:27.000Z | 2020-04-20T20:53:27.000Z | BPt/main/eval.py | sahahn/ABCD_ML | a8b1c48c33f3fdc046c8922964f1c456273238da | [
"MIT"
] | 1 | 2019-06-21T14:44:40.000Z | 2019-06-21T14:44:40.000Z |
_base_docs = {}
_base_docs['dataset'] = """dataset : :class:`Dataset`
The instance of :class:`Dataset` originally passed to
:func:`evaluate`.
.. note::
If a different dataset is passed, then unexpected
behavior may occur.
"""
# @TODO
# 1. ... | 34.336014 | 118 | 0.585394 | import pandas as pd
import numpy as np
from tqdm import tqdm
from tqdm.notebook import tqdm as tqdm_notebook
from sklearn.base import clone
import time
import warnings
from ..dataset.helpers import verbose_print
from ..pipeline.helpers import get_mean_fis
from sklearn.utils import Bunch
from scipy.stats import t
from p... | 2 | 34,393 | 0 | 38,674 | 0 | 2,221 | 0 | 316 | 737 |
6c0cd6bb0deb47761e559591b778a23acf15bc8b | 2,114 | py | Python | DataReader.py | ltz0120/Graph-attentive-Convolutional-Hawkes-Processes-GACHP | 07be432e5fa760d634a36823d95ad3a809960d98 | [
"MIT"
] | 5 | 2021-06-29T02:53:22.000Z | 2021-09-14T11:48:40.000Z | DataReader.py | ltz0120/Graph-attentive-Convolutional-Hawkes-Processes-GACHP | 07be432e5fa760d634a36823d95ad3a809960d98 | [
"MIT"
] | null | null | null | DataReader.py | ltz0120/Graph-attentive-Convolutional-Hawkes-Processes-GACHP | 07be432e5fa760d634a36823d95ad3a809960d98 | [
"MIT"
] | 1 | 2022-01-31T03:10:02.000Z | 2022-01-31T03:10:02.000Z | """
This script contains the function loading data from csv file with or without header.
the csv file must has the first column as the timestamps, while the other columns are features.
"""
from dev.util import logger
import numpy as np
import pandas as pd
def load_csv(file, single_realization=False, categorical=Fals... | 38.436364 | 138 | 0.660833 | """
This script contains the function loading data from csv file with or without header.
the csv file must has the first column as the timestamps, while the other columns are features.
"""
from dev.util import logger
import numpy as np
import pandas as pd
import copy
import time
from typing import Dict
def load_csv(... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -18 | 66 |
2864bacbf0ffe68db8070d06f96f21a6e16c6ed8 | 3,303 | py | Python | google/cloud/security/inventory/pipelines/load_appengine_pipeline.py | joshiumang107/forseti-security | c088e677426ec60daae0e44a5d1acbb337386ddb | [
"Apache-2.0"
] | null | null | null | google/cloud/security/inventory/pipelines/load_appengine_pipeline.py | joshiumang107/forseti-security | c088e677426ec60daae0e44a5d1acbb337386ddb | [
"Apache-2.0"
] | null | null | null | google/cloud/security/inventory/pipelines/load_appengine_pipeline.py | joshiumang107/forseti-security | c088e677426ec60daae0e44a5d1acbb337386ddb | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 The Forseti Security Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | 38.858824 | 78 | 0.629428 | # Copyright 2017 The Forseti Security Authors. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... | 0 | 0 | 0 | 2,309 | 0 | 0 | 0 | 132 | 90 |
64d12b382e0de14bd0b59a6b0283527033e6af1b | 10,546 | py | Python | pandas3js/models/idobject.py | chrisjsewell/pandas3js | efdae29dd5c9c1236cb27a7bd809730106fad08d | [
"MIT"
] | 6 | 2017-06-07T19:51:39.000Z | 2020-07-19T00:16:12.000Z | pandas3js/models/idobject.py | chrisjsewell/pandas3js | efdae29dd5c9c1236cb27a7bd809730106fad08d | [
"MIT"
] | 15 | 2017-06-06T10:02:31.000Z | 2019-06-21T08:16:13.000Z | pandas3js/models/idobject.py | chrisjsewell/pandas3js | efdae29dd5c9c1236cb27a7bd809730106fad08d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" providing trait objects with an id
"""
def default_viewmap(label_height=None):
""" a wrapper to signal that all
subclass attributes should be directly linked to
the default view mapping
Properties
----------
label_height : ... | 25.47343 | 120 | 0.560687 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
""" providing trait objects with an id
"""
from collections import Hashable
import uuid
import traitlets as trait
import ipywidgets as widgets
from matplotlib import colors
import pandas as pd
class HashableType(trait.TraitType):
"""
Examples
--------
... | 0 | 2,069 | 0 | 7,189 | 0 | 81 | 0 | 18 | 555 |
650b8cb9c1f12955c0ae9ade01308fb30ac10493 | 1,125 | py | Python | chapter04/pipeline/register_model.py | PacktPublishing/Practical-Deep-Learning-at-Scale-with-MLFlow | a4f5ec294de26675c5d3aefde890465dfc833763 | [
"MIT"
] | 48 | 2021-10-17T02:58:22.000Z | 2022-03-19T18:21:42.000Z | chapter04/pipeline/register_model.py | PacktPublishing/Practical-Deep-Learning-at-Scale-with-MLFlow | a4f5ec294de26675c5d3aefde890465dfc833763 | [
"MIT"
] | null | null | null | chapter04/pipeline/register_model.py | PacktPublishing/Practical-Deep-Learning-at-Scale-with-MLFlow | a4f5ec294de26675c5d3aefde890465dfc833763 | [
"MIT"
] | 7 | 2021-11-01T16:12:21.000Z | 2022-01-17T07:27:58.000Z | import logging
logging.basicConfig(level=logging.INFO, format="%(asctime)-15s %(message)s")
logger = logging.getLogger()
if __name__ == '__main__':
task()
| 38.793103 | 113 | 0.722667 | import click
import mlflow
import logging
logging.basicConfig(level=logging.INFO, format="%(asctime)-15s %(message)s")
logger = logging.getLogger()
@click.command(help="This program registers a trained model .")
@click.option("--mlflow_run_id", default=None,
help="This is the mlflow run id")
@click.opt... | 0 | 912 | 0 | 0 | 0 | 0 | 0 | -17 | 67 |
cc11c0716ca1e16c18ae57ddffb936242ecbf112 | 6,557 | py | Python | history/generate_timeline.py | raffaelfoidl/noworkflow | aa4ca189df24fec6c7abd32bcca6a097b21fdf31 | [
"MIT"
] | 108 | 2015-02-04T14:16:51.000Z | 2022-03-06T13:52:45.000Z | history/generate_timeline.py | raffaelfoidl/noworkflow | aa4ca189df24fec6c7abd32bcca6a097b21fdf31 | [
"MIT"
] | 92 | 2015-01-19T14:58:06.000Z | 2021-04-19T17:28:50.000Z | history/generate_timeline.py | raffaelfoidl/noworkflow | aa4ca189df24fec6c7abd32bcca6a097b21fdf31 | [
"MIT"
] | 31 | 2015-03-03T23:53:59.000Z | 2021-11-11T04:23:44.000Z |
if __name__ == "__main__":
import sys
name = sys.argv[1] if len(sys.argv) > 2 else "history.svg"
create_timeline(name)
| 34.151042 | 121 | 0.580296 | import re
import svgwrite
from collections import OrderedDict
from datetime import datetime, timezone
from dateutil.relativedelta import relativedelta
from subprocess import check_output
from config import configuration
from svgwrite import Drawing
from svgwrite.shapes import Rect, Circle
from svgwrite.text import T... | 0 | 0 | 0 | 3,549 | 1,474 | 793 | 0 | 112 | 468 |
046c4223704cbe9e1290bd08e2ea4ed5caa2e804 | 487 | py | Python | 02_SentenceTokenize.py | pemagrg1/SPACY-for-Beginners | b4647a5b7b1a784cfe86d594cb045337bef198fc | [
"MIT"
] | 4 | 2019-03-16T04:16:27.000Z | 2020-02-15T13:46:26.000Z | 02_SentenceTokenize.py | pemagrg1/Natural-Language-Processing-NLP-using-Spacy | b4647a5b7b1a784cfe86d594cb045337bef198fc | [
"MIT"
] | null | null | null | 02_SentenceTokenize.py | pemagrg1/Natural-Language-Processing-NLP-using-Spacy | b4647a5b7b1a784cfe86d594cb045337bef198fc | [
"MIT"
] | 1 | 2019-10-17T14:55:41.000Z | 2019-10-17T14:55:41.000Z | import spacy
nlp = spacy.load("en")
text = """Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It was developed by Steven Bird and Edward Loper in the Department of... | 69.571429 | 355 | 0.784394 | import spacy
nlp = spacy.load("en")
text = """Natural Language Toolkit, or more commonly NLTK, is a suite of libraries and programs for symbolic and statistical natural language processing (NLP) for English written in the Python programming language. It was developed by Steven Bird and Edward Loper in the Department of... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
42de7a91f846bea13527583cd4c3d24cb7a870c5 | 11,453 | py | Python | SRC/common/IO/reporterror.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 31 | 2015-04-01T15:59:36.000Z | 2022-03-18T20:21:47.000Z | SRC/common/IO/reporterror.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 3 | 2015-02-06T19:30:24.000Z | 2017-05-25T14:14:31.000Z | SRC/common/IO/reporterror.py | usnistgov/OOF3D | 4fd423a48aea9c5dc207520f02de53ae184be74c | [
"X11"
] | 7 | 2015-01-23T15:19:22.000Z | 2021-06-09T09:03:59.000Z | # -*- python -*-
# This software was produced by NIST, an agency of the U.S. government,
# and by statute is not subject to copyright in the United States.
# Recipients of this software assume all responsibilities associated
# with its operation, modification and maintenance. However, to
# facilitate maintenance we as... | 34.08631 | 158 | 0.676591 | # -*- python -*-
# This software was produced by NIST, an agency of the U.S. government,
# and by statute is not subject to copyright in the United States.
# Recipients of this software assume all responsibilities associated
# with its operation, modification and maintenance. However, to
# facilitate maintenance we as... | 0 | 0 | 0 | 272 | 0 | 8,421 | 0 | 43 | 517 |
2532cdca6d0d686ed0a63e9c7dce9842d38be22a | 527 | py | Python | main.py | nullmaxwell/genetic-pathfinder-ex | 92c8158d296132c5bda0b971721a03787620b928 | [
"CC0-1.0"
] | null | null | null | main.py | nullmaxwell/genetic-pathfinder-ex | 92c8158d296132c5bda0b971721a03787620b928 | [
"CC0-1.0"
] | null | null | null | main.py | nullmaxwell/genetic-pathfinder-ex | 92c8158d296132c5bda0b971721a03787620b928 | [
"CC0-1.0"
] | null | null | null | # Traveling Salesman
#
# Author: Maxwell Rahmani
# Date: September 18, 2020
# Version: 1.0.0
# Python Version: 2.7.16
# Description:
# ------------------------------------------------------------------------------
# Imports
import sys
if __name__ == '__main__':
main(sys.argv[1:])
| 20.269231 | 80 | 0.586338 | # Traveling Salesman
#
# Author: Maxwell Rahmani
# Date: September 18, 2020
# Version: 1.0.0
# Python Version: 2.7.16
# Description:
# ------------------------------------------------------------------------------
# Imports
import sys
from src.Model import *
from src.Environment import *
from src.Hyperparameters impo... | 0 | 0 | 0 | 0 | 0 | 128 | 0 | 22 | 89 |
974769d243303bfca7857638ccac4f33683909a5 | 1,447 | py | Python | facultad/migrations/0001_initial.py | nicolasmontenegro/emprenred | 906ea24e8b6357b109e24c140fd92fc24bb33e79 | [
"Apache-2.0"
] | null | null | null | facultad/migrations/0001_initial.py | nicolasmontenegro/emprenred | 906ea24e8b6357b109e24c140fd92fc24bb33e79 | [
"Apache-2.0"
] | null | null | null | facultad/migrations/0001_initial.py | nicolasmontenegro/emprenred | 906ea24e8b6357b109e24c140fd92fc24bb33e79 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2016-11-15 19:00
from __future__ import unicode_literals
| 30.145833 | 105 | 0.532135 | # -*- coding: utf-8 -*-
# Generated by Django 1.10.3 on 2016-11-15 19:00
from __future__ import unicode_literals
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.Crea... | 0 | 0 | 0 | 1,235 | 0 | 0 | 0 | 30 | 68 |
ae8f7b6e707ffa0849bcbe9610b0f6244fc02d29 | 412 | py | Python | stg4x/test/test_temporary_datfile_saving.py | GerJuli/ctrl-stg4000 | 6d3b7325c1f0eb5fb600a4b62f3dc5a04fbeebdb | [
"MIT"
] | null | null | null | stg4x/test/test_temporary_datfile_saving.py | GerJuli/ctrl-stg4000 | 6d3b7325c1f0eb5fb600a4b62f3dc5a04fbeebdb | [
"MIT"
] | null | null | null | stg4x/test/test_temporary_datfile_saving.py | GerJuli/ctrl-stg4000 | 6d3b7325c1f0eb5fb600a4b62f3dc5a04fbeebdb | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
test temporary saving of stm files
""" | 29.428571 | 61 | 0.657767 | # -*- coding: utf-8 -*-
"""
test temporary saving of stm files
"""
from stg4x.helper import tempdir
from stg4x.stm import PulseFile
def test_saving():
dat = PulseFile()
import os
with tempdir() as dirpath:
source_fname = os.path.join(dirpath, 'temporary.dat')
dat.save(source_fname) ... | 0 | 0 | 0 | 0 | 0 | 259 | 0 | 21 | 66 |
4554dc87d361816f09cd286b6bfdd979b9154967 | 3,404 | py | Python | Learnings/exercise02.py | LopezMDidac/python-for-brodas | 3ad600e507681c6cccf1a0c67d96ea7b3a6522ee | [
"MIT"
] | null | null | null | Learnings/exercise02.py | LopezMDidac/python-for-brodas | 3ad600e507681c6cccf1a0c67d96ea7b3a6522ee | [
"MIT"
] | null | null | null | Learnings/exercise02.py | LopezMDidac/python-for-brodas | 3ad600e507681c6cccf1a0c67d96ea7b3a6522ee | [
"MIT"
] | null | null | null | # Lista de la compra.
#
# Este ejercicio consiste en la digitalizacin de una lista de la compra totalmente funcional.
# Esta lista de la compra ser una aplicacin de consola basada en menus.
#
# En caso que el usuario de una opcion no valida, se debera informar que la opcin no es valida
# y volver a mostrar actua... | 29.094017 | 99 | 0.648649 | # Lista de la compra.
#
# Este ejercicio consiste en la digitalización de una lista de la compra totalmente funcional.
# Esta lista de la compra será una aplicación de consola basada en menus.
#
# En caso que el usuario de una opcion no valida, se debera informar que la opción no es valida
# y volver a mostrar a... | 42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
d297bff636268ba5f0550890e350a28033dd800b | 398 | py | Python | setup.py | adi2768/GoodRepoProject | 7587e68c2986e32e8f8937cf0aec145b6c1533e0 | [
"MIT"
] | null | null | null | setup.py | adi2768/GoodRepoProject | 7587e68c2986e32e8f8937cf0aec145b6c1533e0 | [
"MIT"
] | null | null | null | setup.py | adi2768/GoodRepoProject | 7587e68c2986e32e8f8937cf0aec145b6c1533e0 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from setuptools import setup
setup(name='GoodRepoProject',
version='1.0',
description='Software Engineering Homework Assignment 2b',
author='Aditya, Harsh, Ashritha, Abhishek, Akash',
author_email='adityajadhavncsu@gmail.com',
url='https://github.com/adi2768/GoodRep... | 28.428571 | 64 | 0.683417 | #!/usr/bin/env python
from setuptools import setup
setup(name='GoodRepoProject',
version='1.0',
description='Software Engineering Homework Assignment 2b',
author='Aditya, Harsh, Ashritha, Abhishek, Akash',
author_email='adityajadhavncsu@gmail.com',
url='https://github.com/adi2768/GoodRep... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2736a18da7f8a6f0fb9fad46d5bfabde63ba780c | 1,948 | py | Python | sponge-jython/examples/script/py/knowledge_base_callbacks.py | mnpas/sponge | 7190f23ae888bbef49d0fbb85157444d6ea48bcd | [
"Apache-2.0"
] | 9 | 2017-12-16T21:48:57.000Z | 2022-01-06T12:22:24.000Z | sponge-jython/examples/script/py/knowledge_base_callbacks.py | mnpas/sponge | 7190f23ae888bbef49d0fbb85157444d6ea48bcd | [
"Apache-2.0"
] | 3 | 2020-12-18T11:56:46.000Z | 2022-03-31T18:37:10.000Z | sponge-jython/examples/script/py/knowledge_base_callbacks.py | mnpas/sponge | 7190f23ae888bbef49d0fbb85157444d6ea48bcd | [
"Apache-2.0"
] | 2 | 2019-12-29T16:08:32.000Z | 2020-06-15T14:05:34.000Z | """
Sponge Knowledge Base
Using knowledge base callbacks.
"""
| 33.586207 | 81 | 0.721253 | """
Sponge Knowledge Base
Using knowledge base callbacks.
"""
from java.util.concurrent.atomic import AtomicBoolean, AtomicInteger
from org.openksavi.sponge.examples.util import TestStatus
class ReloadTrigger(Trigger):
def onConfigure(self):
self.withEvent("reload")
def onRun(self, event):
... | 0 | 0 | 0 | 185 | 0 | 1,341 | 0 | 83 | 273 |
174a8e2f7aea9d445e0d59388c52eba5688e47fa | 135 | py | Python | timetablebackend/subject/urls.py | GGolfz/timetable | 33552fdc02aebf2fa957487259557ba6ba134d97 | [
"MIT"
] | null | null | null | timetablebackend/subject/urls.py | GGolfz/timetable | 33552fdc02aebf2fa957487259557ba6ba134d97 | [
"MIT"
] | null | null | null | timetablebackend/subject/urls.py | GGolfz/timetable | 33552fdc02aebf2fa957487259557ba6ba134d97 | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('', views.subject),
path('clear', views.clear),
] | 22.5 | 36 | 0.681481 | from django.urls import path,include
from . import views
urlpatterns = [
path('', views.subject),
path('clear', views.clear),
] | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 0 |
512a8619073f15987c8f5f8cfef20ee1fb3274ed | 15,638 | py | Python | apps/DeepFaceLive/backend/FaceDetector.py | jkennedyvz/DeepFaceLive | 274c20808da089eb7fc0fc0e8abe649379a29ffe | [
"MIT"
] | null | null | null | apps/DeepFaceLive/backend/FaceDetector.py | jkennedyvz/DeepFaceLive | 274c20808da089eb7fc0fc0e8abe649379a29ffe | [
"MIT"
] | null | null | null | apps/DeepFaceLive/backend/FaceDetector.py | jkennedyvz/DeepFaceLive | 274c20808da089eb7fc0fc0e8abe649379a29ffe | [
"MIT"
] | null | null | null |
DetectorTypeNames = ['CenterFace', 'S3FD', 'YoloV5']
FaceSortByNames = ['@FaceDetector.LARGEST', '@FaceDetector.DIST_FROM_CENTER',
'@FaceDetector.LEFT_RIGHT', '@FaceDetector.RIGHT_LEFT',
'@FaceDetector.TOP_BOTTOM', '@FaceDetector.BOTTOM_TOP' ]
| 45.859238 | 159 | 0.626679 | import time
from enum import IntEnum
import numpy as np
from modelhub import onnx as onnx_models
from xlib import os as lib_os
from xlib.face import FRect
from xlib.image import ImageProcessor
from xlib.mp import csw as lib_csw
from xlib.python import all_is_not_None
from .BackendBase import (BackendConnection, Backe... | 0 | 0 | 0 | 14,643 | 0 | 0 | 0 | 257 | 452 |
a857528043e8a8afc6f419b897bfd208015a1e2b | 11,869 | py | Python | lasagne/layers/cuda_convnet.py | dimatura/nntools | 4a1cfe984bdcfbf00c6e35fe8e53aec25da02acd | [
"MIT"
] | null | null | null | lasagne/layers/cuda_convnet.py | dimatura/nntools | 4a1cfe984bdcfbf00c6e35fe8e53aec25da02acd | [
"MIT"
] | null | null | null | lasagne/layers/cuda_convnet.py | dimatura/nntools | 4a1cfe984bdcfbf00c6e35fe8e53aec25da02acd | [
"MIT"
] | null | null | null | import theano
from .. import init
from .. import nonlinearities
__all__ = [
"CCLayer",
"Conv2DCCLayer",
"MaxPool2DCCLayer",
"ShuffleBC01ToC01BLayer",
"bc01_to_c01b",
"ShuffleC01BToBC01Layer",
"c01b_to_bc01",
"NINLayer_c01b",
]
if not theano.config.device.startswith("gpu"):
raise... | 35.858006 | 79 | 0.591794 | import numpy as np
import theano
import theano.tensor as T
from .. import init
from .. import nonlinearities
from .base import Layer
from theano.sandbox.cuda.basic_ops import gpu_contiguous
from pylearn2.sandbox.cuda_convnet.filter_acts import FilterActs
__all__ = [
"CCLayer",
"Conv2DCCLayer",
"MaxPool... | 0 | 0 | 0 | 10,613 | 0 | 0 | 0 | 81 | 249 |
72150968d30e95d745fb3e4402026e6dd5f2dbe7 | 141 | py | Python | tests/missing_data/test_missing_data_air_passengers_DiscardRow_Interpolate.py | shaido987/pyaf | b9afd089557bed6b90b246d3712c481ae26a1957 | [
"BSD-3-Clause"
] | 377 | 2016-10-13T20:52:44.000Z | 2022-03-29T18:04:14.000Z | tests/missing_data/test_missing_data_air_passengers_DiscardRow_Interpolate.py | ysdede/pyaf | b5541b8249d5a1cfdc01f27fdfd99b6580ed680b | [
"BSD-3-Clause"
] | 160 | 2016-10-13T16:11:53.000Z | 2022-03-28T04:21:34.000Z | tests/missing_data/test_missing_data_air_passengers_DiscardRow_Interpolate.py | ysdede/pyaf | b5541b8249d5a1cfdc01f27fdfd99b6580ed680b | [
"BSD-3-Clause"
] | 63 | 2017-03-09T14:51:18.000Z | 2022-03-27T20:52:57.000Z | import tests.missing_data.test_missing_data_air_passengers_generic as gen
gen.test_air_passengers_missing_data('DiscardRow', 'Interpolate')
| 35.25 | 73 | 0.879433 | import tests.missing_data.test_missing_data_air_passengers_generic as gen
gen.test_air_passengers_missing_data('DiscardRow', 'Interpolate')
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2cb12f855afa375a24d429193df2854e48001399 | 1,026 | py | Python | lists_basics/exercise/bread_factory.py | PetkoAndreev/Python-fundamentals | dcf2ecb65d7a82a6688a7529a14eb8a331a83256 | [
"MIT"
] | null | null | null | lists_basics/exercise/bread_factory.py | PetkoAndreev/Python-fundamentals | dcf2ecb65d7a82a6688a7529a14eb8a331a83256 | [
"MIT"
] | null | null | null | lists_basics/exercise/bread_factory.py | PetkoAndreev/Python-fundamentals | dcf2ecb65d7a82a6688a7529a14eb8a331a83256 | [
"MIT"
] | null | null | null | bread_data = input().split('|')
current_energy = 100
current_coins = 100
is_bankrupt = False
for bread in bread_data:
event, value = bread.split('-')
value = int(value)
if event == 'rest':
if current_energy + value <= 100:
current_energy += value
else:
value = 0
... | 26.307692 | 54 | 0.57115 | bread_data = input().split('|')
current_energy = 100
current_coins = 100
is_bankrupt = False
for bread in bread_data:
event, value = bread.split('-')
value = int(value)
if event == 'rest':
if current_energy + value <= 100:
current_energy += value
else:
value = 0
... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
cb8de96dd886075adc2fabf8400baa8b59b7de77 | 11,325 | py | Python | .vimrc.py | chriswatrous/scripts | 2f0b27d9a5852dbb41973d494a58df41fd9b1731 | [
"MIT"
] | 2 | 2015-12-17T03:42:24.000Z | 2019-04-08T01:35:56.000Z | .vimrc.py | chriswatrous/scripts | 2f0b27d9a5852dbb41973d494a58df41fd9b1731 | [
"MIT"
] | null | null | null | .vimrc.py | chriswatrous/scripts | 2f0b27d9a5852dbb41973d494a58df41fd9b1731 | [
"MIT"
] | null | null | null | # Vim startup script written in python.
import vim
# Set this option first.
vim.command('set nocompatible')
vim.command('let loaded_matchparen = 1')
# Clear mappings and auto commands in case we are reloading the file.
vim.command('mapclear')
vim.command('imapclear')
vim.command('autocmd!')
# General options
# vim.c... | 29.113111 | 78 | 0.59064 | # Vim startup script written in python.
import vim
import sys
import re
# Set this option first.
vim.command('set nocompatible')
vim.command('let loaded_matchparen = 1')
# Clear mappings and auto commands in case we are reloading the file.
vim.command('mapclear')
vim.command('imapclear')
vim.command('autocmd!')
# Ge... | 0 | 0 | 0 | 0 | 0 | 6,270 | 0 | -23 | 366 |
2d87f3c5d6796c0b990c1cce9c096f7009ee3874 | 2,670 | py | Python | script.py | xenificity/Project-Hand_gesture_recognition | 5d7b1b372ead94ef72e6cbeb797145a06288ee72 | [
"MIT"
] | null | null | null | script.py | xenificity/Project-Hand_gesture_recognition | 5d7b1b372ead94ef72e6cbeb797145a06288ee72 | [
"MIT"
] | null | null | null | script.py | xenificity/Project-Hand_gesture_recognition | 5d7b1b372ead94ef72e6cbeb797145a06288ee72 | [
"MIT"
] | null | null | null | #Hand gesture recognition - deep learning project
#Importing libraries
import os
import pandas as pd
from sklearn import preprocessing
os.chdir("D:/_IRRI-SOUTH ASIA/personal projects/hand_gesture_recognition_project/dataset")
#Data Preprocessing
train = pd.read_csv("sign_mnist_train.csv")
test = pd.read_csv("sign_m... | 26.176471 | 183 | 0.750187 | #Hand gesture recognition - deep learning project
#Importing libraries
import os
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn import preprocessing
os.chdir("D:/_IRRI-SOUTH ASIA/personal projects/hand_gesture_recognition_project/dataset")
#Data Preprocessing
train = pd.read_csv... | 0 | 0 | 0 | 0 | 0 | 164 | 0 | 6 | 66 |
9d452bf79b95da1c8e8492f627c35ec5b605f101 | 784 | tac | Python | src/python/livecd.tac | nakedible/vpnease-l2tp | 0fcda6a757f2bc5c37f4753b3cd8b1c6d282db5c | [
"WTFPL"
] | 5 | 2015-04-16T08:36:17.000Z | 2017-05-12T17:20:12.000Z | src/python/livecd.tac | nakedible/vpnease-l2tp | 0fcda6a757f2bc5c37f4753b3cd8b1c6d282db5c | [
"WTFPL"
] | null | null | null | src/python/livecd.tac | nakedible/vpnease-l2tp | 0fcda6a757f2bc5c37f4753b3cd8b1c6d282db5c | [
"WTFPL"
] | 4 | 2015-03-19T14:39:51.000Z | 2019-01-23T08:22:55.000Z | # -*- python -*-
from twisted.application import strports, service
from codebay.l2tpserver import constants
from codebay.l2tpserver.webui import master, website
application = service.Application('l2tpserver')
webuimaster = master.LiveCdMaster()
webuimaster.pre_start()
webuiservice = master.LiveCdService(webuimaster... | 34.086957 | 90 | 0.822704 | # -*- python -*-
from nevow import guard, inevow, appserver
from twisted.application import strports, service
from codebay.common import logger
from codebay.l2tpserver import constants
from codebay.l2tpserver.webui import master, website
application = service.Application('l2tpserver')
webuimaster = master.LiveCdMas... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33 | 45 |
f49e5f4658c51720e60e9c540b521395609817b7 | 839 | py | Python | npdb/creation/basic.py | ryanwallace96/npdb | bcc34455d013a3cd11adddd5aa596364f70c2264 | [
"MIT"
] | null | null | null | npdb/creation/basic.py | ryanwallace96/npdb | bcc34455d013a3cd11adddd5aa596364f70c2264 | [
"MIT"
] | null | null | null | npdb/creation/basic.py | ryanwallace96/npdb | bcc34455d013a3cd11adddd5aa596364f70c2264 | [
"MIT"
] | null | null | null | """
dbarray creators for simple, commonly-used contents.
"""
# db = npdb.dbarray((3,3,3), float)
# bounds = db[0:3]
# print "bounds", bounds
# db = npdb.dbarray((10,), float)
# bounds = db[2:5]
# print "bounds", bounds
# bounds = db[:-7]
# print "bounds", bounds
# bounds = db[1:7:2]
# print "bounds", bounds
# db ... | 17.479167 | 67 | 0.573302 | """
dbarray creators for simple, commonly-used contents.
"""
import npdb
# db = npdb.dbarray((3,3,3), float)
# bounds = db[0:3]
# print "bounds", bounds
# db = npdb.dbarray((10,), float)
# bounds = db[2:5]
# print "bounds", bounds
# bounds = db[:-7]
# print "bounds", bounds
# bounds = db[1:7:2]
# print "bounds", ... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | -10 | 23 |
ac03447fa91f8611d5fe0dd728d4977e027170d7 | 761 | py | Python | examples/crud_rest_api/app/api.py | jameslo1212/Flask-AppBuilder | b71789d85b632935eca79c0b53fb77f20bf17fe6 | [
"BSD-3-Clause"
] | null | null | null | examples/crud_rest_api/app/api.py | jameslo1212/Flask-AppBuilder | b71789d85b632935eca79c0b53fb77f20bf17fe6 | [
"BSD-3-Clause"
] | 3 | 2021-06-08T23:39:54.000Z | 2022-03-12T00:50:13.000Z | examples/crud_rest_api/app/api.py | jameslo1212/Flask-AppBuilder | b71789d85b632935eca79c0b53fb77f20bf17fe6 | [
"BSD-3-Clause"
] | null | null | null | from . import db, appbuilder
db.create_all()
fill_gender()
appbuilder.add_api(ContactModelApi)
appbuilder.add_api(GroupModelApi)
| 21.138889 | 64 | 0.738502 | from flask_appbuilder import ModelRestApi
from flask_appbuilder.models.sqla.interface import SQLAInterface
from . import db, appbuilder
from .models import ContactGroup, Gender, Contact
def fill_gender():
try:
db.session.add(Gender(name='Male'))
db.session.add(Gender(name='Female'))
db.ses... | 0 | 0 | 0 | 231 | 0 | 166 | 0 | 91 | 135 |
81bb3ad3e91d0cb3254cb03335464a152295896f | 8,202 | py | Python | SoundSourceLocalization/kws_detector.py | Forence1999/SmartWalker | 635410bf44234eead9fd1e2fe226eb8eafa9d27d | [
"MIT"
] | null | null | null | SoundSourceLocalization/kws_detector.py | Forence1999/SmartWalker | 635410bf44234eead9fd1e2fe226eb8eafa9d27d | [
"MIT"
] | null | null | null | SoundSourceLocalization/kws_detector.py | Forence1999/SmartWalker | 635410bf44234eead9fd1e2fe226eb8eafa9d27d | [
"MIT"
] | null | null | null | """
This is a packet of KWS detection,
dependent on DNN training part
"""
import pyaudio
import os
import sys
# must have matching versions: llvmlite==0.22 numba==0.36.1 librosa==0.5
import librosa
if __name__ == "__main__":
# test kws module
pwd = os.path.abspath(os.path.abspath(__file__))
fa... | 33.341463 | 240 | 0.599 | """
This is a packet of KWS detection,
dependent on DNN training part
"""
import ctypes as ct
import numpy as np
import wave
import math
import matplotlib.pyplot as plt
import pyaudio
import os
import sys
from scipy.io import wavfile
# must have matching versions: llvmlite==0.22 numba==0.36.1 librosa==0.5
... | 0 | 0 | 0 | 6,409 | 0 | 660 | 0 | 25 | 290 |
d5ee6e8e620a775d53a846ca5621232cc5efc0e8 | 402 | py | Python | tests/test_all.py | zeek/zeekscript | 9f48f8912c7f157e082d3d0ddfd9d749d9bb7592 | [
"BSD-3-Clause"
] | null | null | null | tests/test_all.py | zeek/zeekscript | 9f48f8912c7f157e082d3d0ddfd9d749d9bb7592 | [
"BSD-3-Clause"
] | 8 | 2022-03-15T00:45:03.000Z | 2022-03-29T02:54:25.000Z | tests/test_all.py | zeek/zeekscript | 9f48f8912c7f157e082d3d0ddfd9d749d9bb7592 | [
"BSD-3-Clause"
] | 1 | 2022-03-15T00:24:03.000Z | 2022-03-15T00:24:03.000Z | #! /usr/bin/env python
"""Helper to run all available tests."""
import sys
import test_formatting
import test_dir_recursion
import test_pylint
if __name__ == '__main__':
# Each test() call returns True if successful, so only exit with 0 when they
# all succeed.
sys.exit(not all((
test_formatting.t... | 23.647059 | 80 | 0.669154 | #! /usr/bin/env python
"""Helper to run all available tests."""
import sys
import test_formatting
import test_dir_recursion
import test_pylint
if __name__ == '__main__':
# Each test() call returns True if successful, so only exit with 0 when they
# all succeed.
sys.exit(not all((
test_formatting.t... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6ff683785f28542f3e15a95d0a36c8da1adc5840 | 2,013 | py | Python | src/Modules/Drivers/__init__.py | bopopescu/PyHouse_1 | 6444ed0b4c38ab59b9e419e4d54d65d598e6a54e | [
"MIT"
] | 1 | 2016-09-21T19:30:21.000Z | 2016-09-21T19:30:21.000Z | src/Modules/Drivers/__init__.py | bopopescu/PyHouse_1 | 6444ed0b4c38ab59b9e419e4d54d65d598e6a54e | [
"MIT"
] | null | null | null | src/Modules/Drivers/__init__.py | bopopescu/PyHouse_1 | 6444ed0b4c38ab59b9e419e4d54d65d598e6a54e | [
"MIT"
] | 1 | 2020-07-23T11:13:36.000Z | 2020-07-23T11:13:36.000Z | """ drivers/__init__.py
@copyright: (C) 2012-2015 by D. Brian Kimmel
The following terms apply to all files associated
with the software unless explicitly disclaimed in individual files.
The authors hereby grant permission to use, copy, modify, distribute,
and license this software and its documentation for any pu... | 38.711538 | 86 | 0.748137 | """ drivers/__init__.py
@copyright: (C) 2012-2015 by D. Brian Kimmel
The following terms apply to all files associated
with the software unless explicitly disclaimed in individual files.
The authors hereby grant permission to use, copy, modify, distribute,
and license this software and its documentation for any pu... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
935b87265c93f3ac20da47126c1d760eb7e98f2c | 55,220 | py | Python | vivisect/tests/linux_arm_sh_data.py | wisdark/vivisect | 2e2b6bb07774de18133bd36991fdb7258f622faf | [
"ECL-2.0",
"Apache-2.0"
] | 716 | 2015-01-01T14:41:11.000Z | 2022-03-28T06:51:50.000Z | vivisect/tests/linux_arm_sh_data.py | wisdark/vivisect | 2e2b6bb07774de18133bd36991fdb7258f622faf | [
"ECL-2.0",
"Apache-2.0"
] | 266 | 2015-01-01T15:07:27.000Z | 2022-03-30T15:19:26.000Z | vivisect/tests/linux_arm_sh_data.py | wisdark/vivisect | 2e2b6bb07774de18133bd36991fdb7258f622faf | [
"ECL-2.0",
"Apache-2.0"
] | 159 | 2015-01-01T16:19:44.000Z | 2022-03-21T21:55:34.000Z | sh_data = {
'imports': [
(0x4949c, 4, 9, '*.recvfrom'),
(0x494a0, 4, 9, '*.div'),
(0x494a4, 4, 9, '*.fflush'),
(0x494a8, 4, 9, '*.lchown'),
(0x494ac, 4, 9, '*.statfs'),
(0x494b0, 4, 9, '*.atof'),
(0x494b4, 4, 9, '*.dup2'),
(0x494b8, 4, 9, '*.strcasecmp... | 39.052334 | 65 | 0.506773 | sh_data = {
'imports': [
(0x4949c, 4, 9, '*.recvfrom'),
(0x494a0, 4, 9, '*.div'),
(0x494a4, 4, 9, '*.fflush'),
(0x494a8, 4, 9, '*.lchown'),
(0x494ac, 4, 9, '*.statfs'),
(0x494b0, 4, 9, '*.atof'),
(0x494b4, 4, 9, '*.dup2'),
(0x494b8, 4, 9, '*.strcasecmp... | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
129f5dcc3164604d99aa1694b7c8db9d5e6a2ef6 | 189 | py | Python | Python-Programming(icourse163.org)/7/7-5.py | takuron/Lesson | 226078131d240d07d3b0025eaed8cdeba998a2c4 | [
"MIT"
] | null | null | null | Python-Programming(icourse163.org)/7/7-5.py | takuron/Lesson | 226078131d240d07d3b0025eaed8cdeba998a2c4 | [
"MIT"
] | null | null | null | Python-Programming(icourse163.org)/7/7-5.py | takuron/Lesson | 226078131d240d07d3b0025eaed8cdeba998a2c4 | [
"MIT"
] | null | null | null | n=int(input())
m=int(input())
mlist=list(range(n))
result=[]
for i in range(n):
for j in range(m-1):
mlist.append(mlist.pop(0))
result.append(mlist.pop(0))
print(result) | 14.538462 | 34 | 0.613757 | n=int(input())
m=int(input())
mlist=list(range(n))
result=[]
for i in range(n):
for j in range(m-1):
mlist.append(mlist.pop(0))
result.append(mlist.pop(0))
print(result) | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
fbef01705d8b780cea9ec48200e8c85aedb4e4a7 | 193,504 | py | Python | ElasticEmailClient.py | ElasticEmail/ElasticEmail.WebApiClient-python | 01ff2a0fb1c7b95a5d5752f21116c15c87f23e75 | [
"MIT"
] | 6 | 2018-05-15T20:42:44.000Z | 2021-04-14T06:47:32.000Z | ElasticEmailClient.py | ElasticEmail/ElasticEmail.WebApiClient-python | 01ff2a0fb1c7b95a5d5752f21116c15c87f23e75 | [
"MIT"
] | 3 | 2019-10-20T23:36:12.000Z | 2019-11-06T07:04:35.000Z | ElasticEmailClient.py | ElasticEmail/ElasticEmail.WebApiClient-python | 01ff2a0fb1c7b95a5d5752f21116c15c87f23e75 | [
"MIT"
] | 8 | 2017-05-21T13:16:26.000Z | 2020-05-05T07:26:51.000Z | """
The MIT License (MIT)
Copyright (c) 2016-2017 Elastic Email, Inc.
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, mo... | 25.690919 | 692 | 0.691691 | """
The MIT License (MIT)
Copyright (c) 2016-2017 Elastic Email, Inc.
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, mo... | 3 | 116,048 | 0 | 71,545 | 0 | 0 | 0 | -6 | 3,963 |
6ffa0c2cd4f8ed46f86f6ebdbf0651b797e38115 | 2,051 | py | Python | Python with functions/vehicles.py | marcosamos/Python-tasks-and-proyects | 00426323647639016a407c40af1fd00f35ea2229 | [
"MIT"
] | null | null | null | Python with functions/vehicles.py | marcosamos/Python-tasks-and-proyects | 00426323647639016a407c40af1fd00f35ea2229 | [
"MIT"
] | null | null | null | Python with functions/vehicles.py | marcosamos/Python-tasks-and-proyects | 00426323647639016a407c40af1fd00f35ea2229 | [
"MIT"
] | null | null | null | # vehicles.py
# Copyright 2020, Brigham Young University - Idaho. All rights reserved.
# If this file was executed like this:
# > python teach_solution.py
# then call the main function. However, if this file
# was simply imported, then skip the call to main.
if __name__ == "__main__":
main()
| 40.215686 | 76 | 0.648952 | # vehicles.py
# Copyright 2020, Brigham Young University - Idaho. All rights reserved.
def main():
# Create a dictionary that contains data about six vehicles.
# The key for each vehicle in the dictionary is the vehicle's
# identification number (VIN). The value for each vehicle is
# a list that contai... | 0 | 0 | 0 | 0 | 0 | 1,729 | 0 | 0 | 23 |
35cf1fcd400e64a55b582f49756ac807a8049baa | 1,412 | py | Python | uitls/get_tweets.py | Araon/Sadhu-Kamra | daf99d9d4ccb4e1f39d98ce9296fc774a9562fc0 | [
"MIT"
] | null | null | null | uitls/get_tweets.py | Araon/Sadhu-Kamra | daf99d9d4ccb4e1f39d98ce9296fc774a9562fc0 | [
"MIT"
] | null | null | null | uitls/get_tweets.py | Araon/Sadhu-Kamra | daf99d9d4ccb4e1f39d98ce9296fc774a9562fc0 | [
"MIT"
] | null | null | null | import sys
#Twitter API credentials
consumer_key = ""
consumer_secret = ""
access_key = ""
access_secret = ""
if __name__ == '__main__':
#pass in the username of the account you want to download
get_all_tweets(sys.argv[1]) | 30.042553 | 89 | 0.684136 |
import tweepy
import sys
import json
#Twitter API credentials
consumer_key = ""
consumer_secret = ""
access_key = ""
access_secret = ""
def get_all_tweets(screen_name):
#Twitter only allows access to a users most recent 3240 tweets with this method
alltweets = []
auth = tweepy.OAuthHandler(consumer_k... | 0 | 0 | 0 | 0 | 0 | 1,134 | 0 | -18 | 68 |