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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8b827211c6d78c4e03e51a44190d8e3f1cffc3db
| 2,443
|
py
|
Python
|
legacy/models/GAT.py
|
astrockragh/IceCube
|
eba09e9f9a3c351dbf05496821bcd7d29ac0261c
|
[
"MIT"
] | null | null | null |
legacy/models/GAT.py
|
astrockragh/IceCube
|
eba09e9f9a3c351dbf05496821bcd7d29ac0261c
|
[
"MIT"
] | null | null | null |
legacy/models/GAT.py
|
astrockragh/IceCube
|
eba09e9f9a3c351dbf05496821bcd7d29ac0261c
|
[
"MIT"
] | 2
|
2021-03-03T20:39:38.000Z
|
2021-06-09T11:58:00.000Z
|
import numpy as np
import tensorflow as tf
from tensorflow.keras.callbacks import EarlyStopping
from tensorflow.keras.layers import Dropout, Input
from tensorflow.keras.models import Model
from tensorflow.keras.regularizers import l2
from tensorflow.random import set_seed
from spektral.transforms.layer_preprocess import LayerPreprocess
from spektral.layers import GATConv
from spektral.layers.pooling.global_pool import GlobalMaxPool, GlobalAvgPool, GlobalSumPool
from tensorflow.keras.layers import Dense, LeakyReLU, BatchNormalization
from tensorflow.keras.activations import tanh
from tensorflow.sparse import SparseTensor
hidden_states = 16
activation = LeakyReLU(alpha = 0.1)
| 46.09434
| 164
| 0.669668
|
8b83777c4cdb8551be6cb2f0840e3a838be9ce71
| 792
|
py
|
Python
|
pyleecan/Methods/Slot/SlotUD2/get_surface_active.py
|
IrakozeFD/pyleecan
|
5a93bd98755d880176c1ce8ac90f36ca1b907055
|
[
"Apache-2.0"
] | 95
|
2019-01-23T04:19:45.000Z
|
2022-03-17T18:22:10.000Z
|
pyleecan/Methods/Slot/SlotUD2/get_surface_active.py
|
IrakozeFD/pyleecan
|
5a93bd98755d880176c1ce8ac90f36ca1b907055
|
[
"Apache-2.0"
] | 366
|
2019-02-20T07:15:08.000Z
|
2022-03-31T13:37:23.000Z
|
pyleecan/Methods/Slot/SlotUD2/get_surface_active.py
|
IrakozeFD/pyleecan
|
5a93bd98755d880176c1ce8ac90f36ca1b907055
|
[
"Apache-2.0"
] | 74
|
2019-01-24T01:47:31.000Z
|
2022-02-25T05:44:42.000Z
|
from numpy import arcsin, exp
from ....Classes.Segment import Segment
from ....Classes.Arc1 import Arc1
from ....Classes.SurfLine import SurfLine
def get_surface_active(self, alpha=0, delta=0):
"""Return the full winding surface
Parameters
----------
self : SlotUD2
A SlotUD2 object
alpha : float
float number for rotation (Default value = 0) [rad]
delta : complex
complex number for translation (Default value = 0)
Returns
-------
surf_wind: Surface
Surface corresponding to the Winding Area
"""
st = self.get_name_lam()
surface = self.active_surf.copy()
surface.label = "Wind_" + st + "_R0_T0_S0"
# Apply transformation
surface.rotate(alpha)
surface.translate(delta)
return surface
| 22.628571
| 59
| 0.64899
|
8b849ac15aeae749f8a20c70f9517f14b9a20eb1
| 3,402
|
py
|
Python
|
features/haralick.py
|
annaformaniuk/smoke-detection
|
217014e9a2a5b9861f4cda3d4c1abce4aca34773
|
[
"MIT"
] | 7
|
2019-05-29T07:43:40.000Z
|
2022-02-10T07:44:11.000Z
|
features/haralick.py
|
annaformaniuk/smoke-detection
|
217014e9a2a5b9861f4cda3d4c1abce4aca34773
|
[
"MIT"
] | 1
|
2020-06-07T10:50:50.000Z
|
2020-06-07T10:50:50.000Z
|
features/haralick.py
|
annaformaniuk/smoke-detection
|
217014e9a2a5b9861f4cda3d4c1abce4aca34773
|
[
"MIT"
] | 4
|
2019-11-26T15:05:03.000Z
|
2021-05-10T13:41:15.000Z
|
# from https://gogul09.github.io/software/texture-recognition
import cv2
import numpy as np
import os
import glob
import mahotas as mt
from sklearn.svm import LinearSVC
from typing import List
import matplotlib.pyplot as plt
import pickle
# load the training dataset
train_path = "../inputs/for_texture_model/train"
train_names = os.listdir(train_path)
# empty list to hold feature vectors and train labels
train_features = []
train_labels = []
| 35.072165
| 77
| 0.581717
|
8b87afec28b6e06554c41af8512eee6c2652795a
| 4,441
|
py
|
Python
|
asciidoxy/templates/helpers.py
|
lurch/asciidoxy
|
9781ba696637fadbf62f1b7c5da843b0d292007d
|
[
"Apache-2.0"
] | null | null | null |
asciidoxy/templates/helpers.py
|
lurch/asciidoxy
|
9781ba696637fadbf62f1b7c5da843b0d292007d
|
[
"Apache-2.0"
] | null | null | null |
asciidoxy/templates/helpers.py
|
lurch/asciidoxy
|
9781ba696637fadbf62f1b7c5da843b0d292007d
|
[
"Apache-2.0"
] | null | null | null |
# Copyright (C) 2019-2020, TomTom (http://tomtom.com).
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Helper functions for API reference templates."""
from asciidoxy.generator import Context
| 33.390977
| 99
| 0.611124
|
8b88d9d29f78c551c398e16471317d51e96b8e76
| 2,511
|
py
|
Python
|
fin_model_course/pltemplates/graphics/model_structure.py
|
whoopnip/fin-model-course
|
e6c5ae313bba601c4aca0f334818b61cc0393118
|
[
"MIT"
] | 5
|
2020-08-29T15:28:39.000Z
|
2021-12-01T16:53:25.000Z
|
fin_model_course/pltemplates/graphics/model_structure.py
|
whoopnip/fin-model-course
|
e6c5ae313bba601c4aca0f334818b61cc0393118
|
[
"MIT"
] | 16
|
2020-02-26T16:03:47.000Z
|
2021-06-15T15:17:37.000Z
|
fin_model_course/pltemplates/graphics/model_structure.py
|
whoopnip/fin-model-course
|
e6c5ae313bba601c4aca0f334818b61cc0393118
|
[
"MIT"
] | 3
|
2021-01-22T19:38:36.000Z
|
2021-09-28T08:14:00.000Z
|
import pyexlatex as pl
import pyexlatex.table as lt
import pyexlatex.presentation as lp
import pyexlatex.graphics as lg
import pyexlatex.layouts as ll
| 29.541176
| 112
| 0.560335
|
8b898fc8f9613f97a1b09d6b849378dd2047f47d
| 51
|
py
|
Python
|
index.py
|
JaidevstudioRobot/hackoctober2021
|
d5855ac4bc797d7abb85b76f8b4a28e4a0dafaea
|
[
"MIT"
] | null | null | null |
index.py
|
JaidevstudioRobot/hackoctober2021
|
d5855ac4bc797d7abb85b76f8b4a28e4a0dafaea
|
[
"MIT"
] | null | null | null |
index.py
|
JaidevstudioRobot/hackoctober2021
|
d5855ac4bc797d7abb85b76f8b4a28e4a0dafaea
|
[
"MIT"
] | 1
|
2021-10-04T18:16:06.000Z
|
2021-10-04T18:16:06.000Z
|
# Hello python
a = "Hello I m Robot Jai"
print(a)
| 12.75
| 25
| 0.647059
|
8b89b607196b90b61199e59cb3a2c777f0b348f7
| 1,748
|
py
|
Python
|
calc.py
|
V-Perotto/Contador_NomeSobrenome_Decimal
|
1e625306254c3f48e4c722e6ad04601f65af4c3c
|
[
"CC0-1.0"
] | null | null | null |
calc.py
|
V-Perotto/Contador_NomeSobrenome_Decimal
|
1e625306254c3f48e4c722e6ad04601f65af4c3c
|
[
"CC0-1.0"
] | null | null | null |
calc.py
|
V-Perotto/Contador_NomeSobrenome_Decimal
|
1e625306254c3f48e4c722e6ad04601f65af4c3c
|
[
"CC0-1.0"
] | null | null | null |
from alfabeto import *
from main import nameSur
# Listas
letras = ["a", "b", "c", "d", "e", "f", "g", "h", "i", "j", "k", "l", "m", "n", "o", "p", "q", "r", "s", "t", "u", "v",
"w", "x", "y", "z", "A", "B", "C", "D", "E", "F", "G", "H", "I", "J", "K", "L", "M", "N", "O", "P", "Q", "R",
"S", "T", "U", "V", "W", "X", "Y", "Z"]
| 31.214286
| 119
| 0.371854
|
8b8bd5685a8cb00d4aca06f90e968e83f7055e18
| 10,174
|
py
|
Python
|
ioflo/aio/proto/devicing.py
|
BradyHammond/ioflo
|
177ac656d7c4ff801aebb0d8b401db365a5248ce
|
[
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 128
|
2015-01-14T12:26:56.000Z
|
2021-11-06T07:09:29.000Z
|
ioflo/aio/proto/devicing.py
|
BradyHammond/ioflo
|
177ac656d7c4ff801aebb0d8b401db365a5248ce
|
[
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 17
|
2015-01-28T18:26:50.000Z
|
2020-11-19T22:08:06.000Z
|
ioflo/aio/proto/devicing.py
|
BradyHammond/ioflo
|
177ac656d7c4ff801aebb0d8b401db365a5248ce
|
[
"ECL-2.0",
"Apache-2.0",
"MIT"
] | 29
|
2015-01-27T23:28:31.000Z
|
2021-05-04T16:37:30.000Z
|
"""
Device Base Package
"""
from __future__ import absolute_import, division, print_function
import struct
from binascii import hexlify
from collections import deque, namedtuple
import enum
import socket
from ...aid.sixing import *
from ...aid.odicting import odict
from ...aid.byting import bytify, unbytify, packify, unpackify
from ...aid.eventing import eventify, tagify
from ...aid import getConsole
from .. import aioing
from .protoing import MixIn
console = getConsole()
| 27.276139
| 91
| 0.548555
|
8b8fdfbcf9706a09172ee59fba63e07828a65599
| 2,492
|
py
|
Python
|
tests/array_creation.py
|
manopapad/legate.numpy
|
896f4fd9b32db445da6cdabf7b78d523fca96936
|
[
"Apache-2.0"
] | null | null | null |
tests/array_creation.py
|
manopapad/legate.numpy
|
896f4fd9b32db445da6cdabf7b78d523fca96936
|
[
"Apache-2.0"
] | null | null | null |
tests/array_creation.py
|
manopapad/legate.numpy
|
896f4fd9b32db445da6cdabf7b78d523fca96936
|
[
"Apache-2.0"
] | null | null | null |
# Copyright 2021 NVIDIA Corporation
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import numpy as np
import legate.numpy as lg
if __name__ == "__main__":
test()
| 25.428571
| 74
| 0.620385
|
8b90aeb5aec1b01857b6aa8b3d9934d4cfdd1543
| 29,250
|
py
|
Python
|
libs/python/qumranica/models/catalogue_match_dto.py
|
Scripta-Qumranica-Electronica/SQE_API_Connectors
|
aaa9b9eb8709d4257c32ea57321a179c6b1e041a
|
[
"MIT"
] | null | null | null |
libs/python/qumranica/models/catalogue_match_dto.py
|
Scripta-Qumranica-Electronica/SQE_API_Connectors
|
aaa9b9eb8709d4257c32ea57321a179c6b1e041a
|
[
"MIT"
] | null | null | null |
libs/python/qumranica/models/catalogue_match_dto.py
|
Scripta-Qumranica-Electronica/SQE_API_Connectors
|
aaa9b9eb8709d4257c32ea57321a179c6b1e041a
|
[
"MIT"
] | null | null | null |
# coding: utf-8
"""
SQE API
No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501
The version of the OpenAPI document: v1
Generated by: https://openapi-generator.tech
"""
import pprint
import re # noqa: F401
import six
from qumranica.configuration import Configuration
def to_str(self):
"""Returns the string representation of the model"""
return pprint.pformat(self.to_dict())
def __repr__(self):
"""For `print` and `pprint`"""
return self.to_str()
def __eq__(self, other):
"""Returns true if both objects are equal"""
if not isinstance(other, CatalogueMatchDTO):
return False
return self.to_dict() == other.to_dict()
def __ne__(self, other):
"""Returns true if both objects are not equal"""
if not isinstance(other, CatalogueMatchDTO):
return True
return self.to_dict() != other.to_dict()
| 32.79148
| 653
| 0.645675
|
8b914a0a6371ff8952db67b7eee682b5c44c059b
| 569
|
py
|
Python
|
nengo_ssp/hrr_algebra.py
|
nsdumont/nengo_ssp
|
9530a4618e213fb695b52887772c1309d0f07a0b
|
[
"MIT"
] | null | null | null |
nengo_ssp/hrr_algebra.py
|
nsdumont/nengo_ssp
|
9530a4618e213fb695b52887772c1309d0f07a0b
|
[
"MIT"
] | null | null | null |
nengo_ssp/hrr_algebra.py
|
nsdumont/nengo_ssp
|
9530a4618e213fb695b52887772c1309d0f07a0b
|
[
"MIT"
] | null | null | null |
import numpy as np
from nengo_spa.algebras.hrr_algebra import HrrAlgebra
from nengo.utils.numpy import is_number
| 35.5625
| 62
| 0.620387
|
8b9247a613a137d9a893fcd8004929a037e3fffd
| 2,234
|
py
|
Python
|
server.py
|
Xinzhe-Qi/15112-Term-Project
|
07a4b78d23629478039667ed4c29287e5e781bf3
|
[
"MIT"
] | null | null | null |
server.py
|
Xinzhe-Qi/15112-Term-Project
|
07a4b78d23629478039667ed4c29287e5e781bf3
|
[
"MIT"
] | null | null | null |
server.py
|
Xinzhe-Qi/15112-Term-Project
|
07a4b78d23629478039667ed4c29287e5e781bf3
|
[
"MIT"
] | null | null | null |
import socket
from _thread import *
import pickle
from board import Board
import time
hostname = socket.gethostname()
ipAddr = socket.gethostbyname(hostname)
print(ipAddr)
server = ipAddr
port = 5556
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
try:
s.bind((server, port))
except socket.error as e:
print(str(e))
s.listen(2)
print("Waiting for a connection, Server Started")
bo = Board()
currentId = "b"
connections = 0
while True:
conn, addr = s.accept()
print("Connected to:", addr)
start_new_thread(threaded_client, (conn,))
| 21.27619
| 86
| 0.499552
|
8b93ff57b731c6c33351b57dd2f1b5402cee9a07
| 72
|
py
|
Python
|
examples/random_article.py
|
yusufusta/wikiHowUnofficialAPI
|
e29ae96a2dcf893f5b587804b9dd37a412cdd561
|
[
"MIT"
] | 5
|
2021-04-17T14:02:58.000Z
|
2022-03-06T02:18:16.000Z
|
examples/random_article.py
|
yusufusta/wikiHowUnofficialAPI
|
e29ae96a2dcf893f5b587804b9dd37a412cdd561
|
[
"MIT"
] | 1
|
2021-07-09T12:28:27.000Z
|
2021-07-10T10:04:11.000Z
|
examples/random_article.py
|
yusufusta/wikiHowUnofficialAPI
|
e29ae96a2dcf893f5b587804b9dd37a412cdd561
|
[
"MIT"
] | 4
|
2021-02-02T14:23:58.000Z
|
2021-11-15T04:38:10.000Z
|
import wikihowunofficialapi as wha
ra = wha.random_article()
print(ra)
| 14.4
| 34
| 0.791667
|
8b9488221b16161dd9b114f9406bbcd8771818fb
| 11,341
|
py
|
Python
|
nilmtk/simulate/gaussianstatemachines.py
|
BaluJr/energytk
|
e9b06bcb43a40010ccc40a534a7067ee520fb3a7
|
[
"Apache-2.0"
] | 3
|
2018-11-09T16:13:32.000Z
|
2019-11-10T20:10:10.000Z
|
nilmtk/simulate/gaussianstatemachines.py
|
BaluJr/energytk
|
e9b06bcb43a40010ccc40a534a7067ee520fb3a7
|
[
"Apache-2.0"
] | null | null | null |
nilmtk/simulate/gaussianstatemachines.py
|
BaluJr/energytk
|
e9b06bcb43a40010ccc40a534a7067ee520fb3a7
|
[
"Apache-2.0"
] | 1
|
2018-10-24T10:28:52.000Z
|
2018-10-24T10:28:52.000Z
|
import numpy as np
import pandas as pd
from nilmtk import TimeFrame
import datetime
import matplotlib.pyplot as plt
# transients['active transition'].cumsum().resample('2s', how='ffill').plot()
| 49.308696
| 184
| 0.571907
|
8b95a94d3b25a23a56d3d3d661b084a44e828fab
| 543
|
py
|
Python
|
my_gallery/migrations/0006_photos_image.py
|
Abdihakim-Muhumed/gallery
|
bfdb58466503bedda6ac4b686afb42b69c055f0c
|
[
"Unlicense"
] | null | null | null |
my_gallery/migrations/0006_photos_image.py
|
Abdihakim-Muhumed/gallery
|
bfdb58466503bedda6ac4b686afb42b69c055f0c
|
[
"Unlicense"
] | null | null | null |
my_gallery/migrations/0006_photos_image.py
|
Abdihakim-Muhumed/gallery
|
bfdb58466503bedda6ac4b686afb42b69c055f0c
|
[
"Unlicense"
] | null | null | null |
# Generated by Django 3.1.2 on 2020-10-14 07:15
import cloudinary.models
from django.db import migrations
import django.utils.timezone
| 24.681818
| 125
| 0.655617
|
8b98b8d35fd76526fa88fe1c8a30101c9a8baac3
| 9,713
|
py
|
Python
|
bot/ts/ThreadSafeTSConnection.py
|
Asnanon/ts-gw2-verifyBot
|
4da70450bc53631e61a42d18df36f5aef710cdbe
|
[
"MIT"
] | null | null | null |
bot/ts/ThreadSafeTSConnection.py
|
Asnanon/ts-gw2-verifyBot
|
4da70450bc53631e61a42d18df36f5aef710cdbe
|
[
"MIT"
] | null | null | null |
bot/ts/ThreadSafeTSConnection.py
|
Asnanon/ts-gw2-verifyBot
|
4da70450bc53631e61a42d18df36f5aef710cdbe
|
[
"MIT"
] | null | null | null |
import logging
from threading import RLock
from typing import Callable, Tuple, TypeVar
import schedule
import ts3
from ts3.query import TS3ServerConnection
from bot.config import Config
LOG = logging.getLogger(__name__)
R = TypeVar('R')
def default_exception_handler(ex):
""" prints the trace and returns the exception for further inspection """
LOG.debug("Exception caught in default_exception_handler: ", exc_info=ex)
return ex
def signal_exception_handler(ex):
""" returns the exception without printing it, useful for expected exceptions, signaling that an exception occurred """
return ex
def ignore_exception_handler(ex):
""" acts as if no exception was raised, equivalent to except: pass"""
return None
| 45.176744
| 171
| 0.601153
|
8b9915ff298534b2c620ead53ddd94b9a9c59202
| 87
|
py
|
Python
|
software/reachy/io/__init__.py
|
pollen-robotics/reachy-2.0
|
1721c2d93737e576e328bfdb78376d1b0163d3d6
|
[
"Apache-1.1"
] | 167
|
2018-02-07T21:42:13.000Z
|
2021-03-06T08:25:45.000Z
|
software/reachy/io/__init__.py
|
pollen-robotics/reachy-2.0
|
1721c2d93737e576e328bfdb78376d1b0163d3d6
|
[
"Apache-1.1"
] | 39
|
2019-11-27T13:11:59.000Z
|
2021-01-12T09:33:26.000Z
|
software/reachy/io/__init__.py
|
pollen-robotics/reachy-2.0
|
1721c2d93737e576e328bfdb78376d1b0163d3d6
|
[
"Apache-1.1"
] | 47
|
2018-05-27T02:59:28.000Z
|
2021-03-07T14:56:10.000Z
|
"""Reachy submodule responsible for low-level IO."""
from .io import IO # noqa F401
| 17.4
| 52
| 0.701149
|
8ba05404268d52ee6b9dcf341a6f596fdbe8cb19
| 453
|
py
|
Python
|
test/unit/test_wrapper.py
|
Bowowzahoya/cordis_search
|
8766717fdd785b2768785b9147e63cac62dfbd43
|
[
"MIT"
] | null | null | null |
test/unit/test_wrapper.py
|
Bowowzahoya/cordis_search
|
8766717fdd785b2768785b9147e63cac62dfbd43
|
[
"MIT"
] | null | null | null |
test/unit/test_wrapper.py
|
Bowowzahoya/cordis_search
|
8766717fdd785b2768785b9147e63cac62dfbd43
|
[
"MIT"
] | null | null | null |
import pandas as pd
from context import *
from cordis_search import wrapper as wr
TEST_PROJECTS_FILE = pd.read_csv(RESOURCES_FOLDER+"fp7_test_projects.csv", sep=";")
print(TEST_PROJECTS_FILE)
test_summary()
| 25.166667
| 83
| 0.766004
|
8ba0eaca96c9b2d167fd14d08ba774e477aea1cb
| 1,067
|
py
|
Python
|
dpsniper/mechanisms/noisy_hist.py
|
barryZZJ/dp-sniper
|
71a3fc06f3fc319b023bde9aad8f05b8c5a47a80
|
[
"MIT"
] | 13
|
2021-03-30T15:39:35.000Z
|
2022-02-21T08:30:45.000Z
|
dpsniper/mechanisms/noisy_hist.py
|
barryZZJ/dp-sniper
|
71a3fc06f3fc319b023bde9aad8f05b8c5a47a80
|
[
"MIT"
] | null | null | null |
dpsniper/mechanisms/noisy_hist.py
|
barryZZJ/dp-sniper
|
71a3fc06f3fc319b023bde9aad8f05b8c5a47a80
|
[
"MIT"
] | 4
|
2021-06-30T08:37:45.000Z
|
2022-03-05T03:21:14.000Z
|
import numpy as np
from dpsniper.mechanisms.abstract import Mechanism
| 26.02439
| 82
| 0.597938
|
8ba24d39fccf745cf193a9313e6f0347c33e72ba
| 1,122
|
py
|
Python
|
workalendar/europe/georgia.py
|
macharmi/workalendar
|
4f8644484d6ba56c66e4bb82c377aa19eccfc0dc
|
[
"MIT"
] | null | null | null |
workalendar/europe/georgia.py
|
macharmi/workalendar
|
4f8644484d6ba56c66e4bb82c377aa19eccfc0dc
|
[
"MIT"
] | null | null | null |
workalendar/europe/georgia.py
|
macharmi/workalendar
|
4f8644484d6ba56c66e4bb82c377aa19eccfc0dc
|
[
"MIT"
] | null | null | null |
from ..core import OrthodoxCalendar
from ..registry_tools import iso_register
| 30.324324
| 72
| 0.646168
|
8ba29d9fb01d60102507bf5db6c09210143677fa
| 3,471
|
py
|
Python
|
release/util/splunkbase_releaser.py
|
xynazog/amp4e_splunk_events_input
|
a5bb57cf82ca3e96fa9a444e5e5e9789eb16b70b
|
[
"BSD-2-Clause"
] | 9
|
2017-07-31T16:13:51.000Z
|
2021-01-06T15:02:36.000Z
|
release/util/splunkbase_releaser.py
|
xynazog/amp4e_splunk_events_input
|
a5bb57cf82ca3e96fa9a444e5e5e9789eb16b70b
|
[
"BSD-2-Clause"
] | 51
|
2017-10-24T17:25:44.000Z
|
2022-03-31T16:47:58.000Z
|
release/util/splunkbase_releaser.py
|
xynazog/amp4e_splunk_events_input
|
a5bb57cf82ca3e96fa9a444e5e5e9789eb16b70b
|
[
"BSD-2-Clause"
] | 12
|
2017-08-01T08:59:39.000Z
|
2021-02-24T21:10:46.000Z
|
import os
from distutils.dir_util import copy_tree
from invoke import task, run
import shutil
| 34.71
| 109
| 0.645923
|
8ba46c9ce685361335be0d77dfae9a2dd018991f
| 2,502
|
py
|
Python
|
sorts.py
|
zhangxl97/leetcode
|
aa94228eba86d761ce5c9b6bfb8b2015c1629074
|
[
"MIT"
] | 1
|
2020-09-12T10:35:22.000Z
|
2020-09-12T10:35:22.000Z
|
sorts.py
|
zhangxl97/leetcode
|
aa94228eba86d761ce5c9b6bfb8b2015c1629074
|
[
"MIT"
] | null | null | null |
sorts.py
|
zhangxl97/leetcode
|
aa94228eba86d761ce5c9b6bfb8b2015c1629074
|
[
"MIT"
] | null | null | null |
from typing import List
if __name__ == "__main__":
main()
| 26.617021
| 68
| 0.406475
|
8ba6b11d7fb6854358fc0d437c22f1ff827b55c0
| 6,622
|
py
|
Python
|
energy_consumption_lstm/data/model.py
|
DiarmuidKelly/predictors
|
9087302ab3cc54463807b0777f341b575a8fcc90
|
[
"MIT"
] | null | null | null |
energy_consumption_lstm/data/model.py
|
DiarmuidKelly/predictors
|
9087302ab3cc54463807b0777f341b575a8fcc90
|
[
"MIT"
] | null | null | null |
energy_consumption_lstm/data/model.py
|
DiarmuidKelly/predictors
|
9087302ab3cc54463807b0777f341b575a8fcc90
|
[
"MIT"
] | null | null | null |
import datetime as dt
import numpy as np
| 43.854305
| 123
| 0.643914
|
8ba7da6d41b49d8a498bec0f19c0c437b815e955
| 558
|
py
|
Python
|
RecoTracker/CkfPattern/python/CkfTrackCandidatesNoOverlaps_cff.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 852
|
2015-01-11T21:03:51.000Z
|
2022-03-25T21:14:00.000Z
|
RecoTracker/CkfPattern/python/CkfTrackCandidatesNoOverlaps_cff.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 30,371
|
2015-01-02T00:14:40.000Z
|
2022-03-31T23:26:05.000Z
|
RecoTracker/CkfPattern/python/CkfTrackCandidatesNoOverlaps_cff.py
|
ckamtsikis/cmssw
|
ea19fe642bb7537cbf58451dcf73aa5fd1b66250
|
[
"Apache-2.0"
] | 3,240
|
2015-01-02T05:53:18.000Z
|
2022-03-31T17:24:21.000Z
|
import FWCore.ParameterSet.Config as cms
# TrackerTrajectoryBuilders
from RecoTracker.CkfPattern.CkfTrajectoryBuilder_cff import *
# TrajectoryCleaning
from TrackingTools.TrajectoryCleaning.TrajectoryCleanerBySharedHits_cfi import *
# navigation school
from RecoTracker.TkNavigation.NavigationSchoolESProducer_cff import *
from RecoTracker.CkfPattern.CkfTrackCandidates_cfi import *
# generate CTF track candidates ############
ckfTrackCandidatesNoOverlaps = ckfTrackCandidates.clone(
TrajectoryBuilderPSet = dict(refToPSet_ = 'CkfTrajectoryBuilder')
)
| 39.857143
| 80
| 0.844086
|
8ba816e0011648c0f031c8c0072d0e07ef644345
| 3,639
|
py
|
Python
|
python ex12.py
|
IMDCGP105-1819/portfolio-s184286
|
e5485f640f341090823bbcaabe287376a048b2c4
|
[
"MIT"
] | null | null | null |
python ex12.py
|
IMDCGP105-1819/portfolio-s184286
|
e5485f640f341090823bbcaabe287376a048b2c4
|
[
"MIT"
] | null | null | null |
python ex12.py
|
IMDCGP105-1819/portfolio-s184286
|
e5485f640f341090823bbcaabe287376a048b2c4
|
[
"MIT"
] | null | null | null |
"""
Task 3
Write an application that allows you to calculate the cost of a trip.
Implement a function called hotel_cost that takes one argument, nights, as input. The hotel costs
70 per night so return a suitable value.
Implement a function called plane_ticket_cost that accepts a string, city, and a float, class, as inputs.
The function should handle the following locations, returning their associated round trip costs that
are multiplied by the class amount.
New York: 2,000
Auckland: 790
Venice: 154
Glasgow: 65
The class multiplier starts at 1 for economy and goes up in .3 steps: 1.3 = premium economy, 1.6 =
business class and 1.9 = first class.
Then implement the rental_car_cost function with an argument called days. The function should
calculate the cost of hiring a car with the following considerations:
Every day of car hire costs 30
If you rent the car for more than 7 days, you get 50 off your total
If you rent the car for more than 3 days, you get 30 off your total
oThese two discounts cannot be applied at the same time.
Define a function total_cost which accepts two arguments; city and days. It should call the other
functions and return the sum of the cost of the trip.
Save the file as the next numeric ex value and commit to GitHub.
"""
nights = int(input("how many number of nights stay?"))
hotel_cost(nights)
city=str(input("select your destination: New york, Auckland, Venice, Glasgow: "))
# the class multiplier starts at 1 for economy and goes up in 3 steps: 1.3 premium economy 1.6 = business class and 1.9 = first class.
_class=float(input("Select your Travel Class: 1=Economy, 1.3=Premium Economy, 1.6=Business Class, 1.9=First Class: "))
if _class=='1':
print("Economy Travel Class selected")
elif _class=='1.3':
print("Premium Economy Travel Class selected")
elif _class=='1.6':
print("Business Class Travel Class selected")
elif _class=='1.9':
print("First Class Travel Class selected")
plane_ticket_cost(city, _class)
days=float(input("enter how many number of days car hire required: "))
rental_car_cost(days)
total_cost(city,days)
| 34.657143
| 183
| 0.687826
|
8ba86635b84461a1f0a395b2d0b3f48cfc499bf5
| 7,050
|
py
|
Python
|
segment_chars.py
|
indranildchandra/Automatic-Licence-Plate-Recognizer
|
12abcf40459f8e2d5d7491aedaed2ee3ea1eb1a7
|
[
"Apache-2.0"
] | 1
|
2020-10-12T12:49:05.000Z
|
2020-10-12T12:49:05.000Z
|
segment_chars.py
|
indranildchandra/Automatic-Licence-Plate-Recognizer
|
12abcf40459f8e2d5d7491aedaed2ee3ea1eb1a7
|
[
"Apache-2.0"
] | null | null | null |
segment_chars.py
|
indranildchandra/Automatic-Licence-Plate-Recognizer
|
12abcf40459f8e2d5d7491aedaed2ee3ea1eb1a7
|
[
"Apache-2.0"
] | null | null | null |
import pandas as pd
import numpy as np
import cv2
import os
import math
import pickle
from matplotlib import pyplot as plt
from PIL import Image
from matplotlib.pyplot import imshow
# %matplotlib inline
def square(img):
"""
This function resize non square image to square one (height == width)
:param img: input image as numpy array
:return: numpy array
"""
# image after making height equal to width
squared_image = img
# Get image height and width
h = img.shape[0]
w = img.shape[1]
# In case height superior than width
if h > w:
diff = h-w
if diff % 2 == 0:
x1 = np.zeros(shape=(h, diff//2))
x2 = x1
else:
x1 = np.zeros(shape=(h, diff//2))
x2 = np.zeros(shape=(h, (diff//2)+1))
squared_image = np.concatenate((x1, img, x2), axis=1)
# In case height inferior than width
if h < w:
diff = w-h
if diff % 2 == 0:
x1 = np.zeros(shape=(diff//2, w))
x2 = x1
else:
x1 = np.zeros(shape=(diff//2, w))
x2 = np.zeros(shape=((diff//2)+1, w))
squared_image = np.concatenate((x1, img, x2), axis=0)
return squared_image
| 31.61435
| 141
| 0.699433
|
8ba8b01b1342226dbfd45e390f34ba1e3c088e34
| 123
|
py
|
Python
|
clase1/multiplicadores.py
|
Munoz-Rojas-Adriana/Computacion_para_Ingenieria
|
4f695887966a94b6c422d100c2c4ec4a94d1e80e
|
[
"Apache-2.0"
] | null | null | null |
clase1/multiplicadores.py
|
Munoz-Rojas-Adriana/Computacion_para_Ingenieria
|
4f695887966a94b6c422d100c2c4ec4a94d1e80e
|
[
"Apache-2.0"
] | null | null | null |
clase1/multiplicadores.py
|
Munoz-Rojas-Adriana/Computacion_para_Ingenieria
|
4f695887966a94b6c422d100c2c4ec4a94d1e80e
|
[
"Apache-2.0"
] | null | null | null |
multi = 0
list = (1 , 2 , 3)
for i in list:
multi = multi + i
print (f'la multi total de 1 al 3 es {multi}')
| 15.375
| 50
| 0.528455
|
8ba8ed599cf94b78021c68a977f2d000df6dcd16
| 2,476
|
py
|
Python
|
aiida_jutools/__init__.py
|
PhilippRue/aiida-jutools
|
66070e7077cb454bcfd70dd3327b335499556a16
|
[
"MIT"
] | 5
|
2020-12-11T13:32:09.000Z
|
2022-01-19T08:36:40.000Z
|
aiida_jutools/__init__.py
|
PhilippRue/aiida-jutools
|
66070e7077cb454bcfd70dd3327b335499556a16
|
[
"MIT"
] | 7
|
2021-01-28T10:24:13.000Z
|
2021-08-18T13:42:47.000Z
|
aiida_jutools/__init__.py
|
PhilippRue/aiida-jutools
|
66070e7077cb454bcfd70dd3327b335499556a16
|
[
"MIT"
] | 5
|
2020-12-07T17:13:38.000Z
|
2021-11-25T09:58:48.000Z
|
# -*- coding: utf-8 -*-
# pylint: disable=unused-import
###############################################################################
# Copyright (c), Forschungszentrum Jlich GmbH, IAS-1/PGI-1, Germany. #
# All rights reserved. #
# This file is part of the aiida-jutools package. #
# (AiiDA JuDFT tools) #
# #
# The code is hosted on GitHub at https://github.com/judftteam/aiida-jutools. #
# For further information on the license, see the LICENSE.txt file. #
# For further information please visit http://judft.de/. #
# #
###############################################################################
"""AiiDA JuTools.
We recommended to use this library with the import statement ``import aiida_jutools as jutools``. In your code,
you can then call all available tools like so: ``jutools.package.tool()``.
"""
__version__ = "0.1.0-dev1"
# Import all of the library's user packages.
from . import code
from . import computer
from . import group
from . import io
from . import logging
from . import meta
from . import node
from . import plugins
from . import process
from . import process_functions
from . import submit
from . import structure
# # import all of the library's developer packages.
from . import _dev
# Potentially problematic imports:
# - kkr: As soon as aiida-kkr becomes dependent on aiida-jutools, this import MIGHT introduce a circular
# dependencies. A simple test (made aiida-kkr import aiida-jutools) had no such effect. But if it
# occurs, here a few potential solutions:
# - Decouple the kkr package = remove from import list above. Then all code using it must be updated
# to import it separately, like from aiida_jutools import kkr as _jutools_kkr. Might break external code.
# - Hide all aiida-kkr imports = in resp. module, move them inside the tools that use them. If it works,
# this might be a solution that does not break external code.
#
# The potential problem and the solution stated above, if it becomes one, applies to other JuDFTTeam plugins as well,
# should they start using aiida-jutools as common codebase (aiida-fleur, aiida-spirit, aiida-spex, ...).
| 51.583333
| 117
| 0.586026
|
8bab05cccc2b06bc0e17af38af464fd773e79545
| 5,358
|
py
|
Python
|
beastx/__main__.py
|
Mrunal1911/Beast-X
|
b7b13b3b5db754894a830569909c4b77aa1ff19d
|
[
"MIT"
] | null | null | null |
beastx/__main__.py
|
Mrunal1911/Beast-X
|
b7b13b3b5db754894a830569909c4b77aa1ff19d
|
[
"MIT"
] | null | null | null |
beastx/__main__.py
|
Mrunal1911/Beast-X
|
b7b13b3b5db754894a830569909c4b77aa1ff19d
|
[
"MIT"
] | null | null | null |
import logging
from pathlib import Path
from sys import argv
import var
import telethon.utils
from telethon import TelegramClient
from telethon import events,Button
import os
from var import Var
from . import beast
from telethon.tl import functions
from beastx.Configs import Config
from telethon.tl.functions.messages import AddChatUserRequest
from telethon.tl.functions.users import GetFullUserRequest
from telethon.tl.functions.channels import LeaveChannelRequest
from telethon.tl.functions.account import UpdateProfileRequest
from telethon.tl.types import InputMessagesFilterDocument
from resources.startup.sanskar import autobot,autopilot,customize
from beastx.utils import load_module, start_assistant
import asyncio
from telethon.tl.functions.channels import InviteToChannelRequest
from . import bot
bot = beast
sed = logging.getLogger("beastx")
#rom . import semxx,semxxx
#####################################
plugin_channel = "@BeastX_Plugins"
#####################################
if Var.TG_BOT_TOKEN_BF_HER is None:
try:
print("BOT_TOKEN not Found")
bot.loop.run_until_complete(autobot())
except BaseException as er:
print(er)
else:
pass
sur = Config.PRIVATE_GROUP_ID
UL = Config.TG_BOT_USER_NAME_BF_HER
VR = "Beast 0.1"
chat_id = sur
sed = logging.getLogger("beastx")
# !
#---------------------
#
#Assistant @{mm.username}
#User @{om.username}
#Version {VR}
#
#Do `.ping `or` /alive` for check userbot working
#"""
'''
await sedmrunal.send_message(sur, MSG,
buttons=[
[Button.url("Updates", url="https://t.me/BeastX_Userbot")],
[ Button.url("Support",url="https://t.me/BeastX_Support")]
])
except Exception as e:
sed.info(str(e))
sed.info("---------------------------------------")
sed.info("Bruh you forgot add assistant in log group")
sed.info("---------------------------------------")
'''
try:
bot.tgbot = None
if Var.TG_BOT_USER_NAME_BF_HER is not None:
bot.tgbot = TelegramClient(
"TG_BOT_TOKEN", api_id=Var.APP_ID, api_hash=Var.API_HASH
).start(bot_token=Var.TG_BOT_TOKEN_BF_HER)
bot.loop.run_until_complete(add_bot(Var.TG_BOT_USER_NAME_BF_HER))
else:
bot.start()
except BaseException as er:
sed.info(er)
import glob
logger_group = Var.PRIVATE_GROUP_ID
if not str(logger_group).startswith("-100"):
try:
bot.loop.run_until_complete(autopilot())
except BaseException as er:
print(er)
else:
pass
bot.loop.run_until_complete(a())
path = "beastx/modules/*.py"
files = glob.glob(path)
for name in files:
with open(name) as f:
path1 = Path(f.name)
shortname = path1.stem
load_module(shortname.replace(".py", ""))
if Config.ENABLE_ASSISTANTBOT == "ENABLE":
path = "beastx/modules/assistant/*.py"
files = glob.glob(path)
for name in files:
with open(name) as f:
path1 = Path(f.name)
shortname = path1.stem
start_assistant(shortname.replace(".py", ""))
sed.info("beastx And Assistant Bot Have Been Installed Successfully !")
sed.info("---------------------------------------")
sed.info("------------@BeastX_Userbot------------")
sed.info("---------------------------------------")
else:
sed.info("beastx Has Been Installed Sucessfully !")
sed.info("Hope you will enjoy")
#await bot.send_message(chat_id,MSG)
#else:
# sed.info("your Get_Msg disable")
bot.run_until_disconnected()
| 28.652406
| 140
| 0.58044
|
8bac89c0e7fe595c62cbe29b2411dd910e49d2c2
| 859
|
py
|
Python
|
tests/day02/test_day02.py
|
SebastiaanZ/aoc-2019
|
e1fe4630b0f375be0b79398e07e23b9c0196efbb
|
[
"MIT"
] | 3
|
2019-12-02T19:38:14.000Z
|
2020-01-28T00:06:09.000Z
|
tests/day02/test_day02.py
|
SebastiaanZ/aoc-2019
|
e1fe4630b0f375be0b79398e07e23b9c0196efbb
|
[
"MIT"
] | 6
|
2020-03-24T17:58:40.000Z
|
2022-03-12T00:18:45.000Z
|
tests/day02/test_day02.py
|
SebastiaanZ/aoc-2019
|
e1fe4630b0f375be0b79398e07e23b9c0196efbb
|
[
"MIT"
] | null | null | null |
import unittest
from solutions.day02.solution import ship_computer
from tests.helpers import Puzzle
| 37.347826
| 99
| 0.641444
|
8bacb9d61c16b4122f25721e214182358d00a686
| 24,678
|
py
|
Python
|
ActiveSuspensions/2DOF Fuzzy Suspension.py
|
MarcoFerrari128/Portfolio
|
82cd81a4235dbd804cd13100b2304a04ca6771b5
|
[
"MIT"
] | null | null | null |
ActiveSuspensions/2DOF Fuzzy Suspension.py
|
MarcoFerrari128/Portfolio
|
82cd81a4235dbd804cd13100b2304a04ca6771b5
|
[
"MIT"
] | null | null | null |
ActiveSuspensions/2DOF Fuzzy Suspension.py
|
MarcoFerrari128/Portfolio
|
82cd81a4235dbd804cd13100b2304a04ca6771b5
|
[
"MIT"
] | null | null | null |
import numpy as np
import matplotlib.pyplot as plt
from scipy.integrate import ode
import FLC
import pyprind
from numpy.linalg import eig
import pandas as pd
def rough2(lenght):
"""Random road condition.
Every 10 time sample a new random value is given. This simulates a car
moving on a road at 36 km/h with roughness wide 1 cm.
"""
i = 0
Rough = []
while i < lenght/10:
j = 0
sample = np.random.randn() # setting correct max height
while j < 10: # add the same value for 10 time steps
Rough.append(sample)
j += 1
i += 1
return 0.1 * np.array(Rough) / np.max(Rough) / 2
def rough3(lenght):
"""Road condition defined by the ISO 8608 standard"""
k = 3 # ISO road condition
N = lenght + 1 # data points
L = 10 # lenght of road profile
B = L / N # sampling interval
n0 = 0.1
dn = 1 / L # Frequency band
n = np.arange(dn, N*dn, dn) # frequency band
phi = 2 * np.pi * (np.random.rand(len(n)))
Amp1 = np.sqrt(dn) * (2**k) * (1e-3) * n0/n
x = np.arange(0, L-B, B)
hx = np.zeros(len(x))
for i in np.arange(len(x)):
hx[i] = np.sum(Amp1 * np.cos(2 * np.pi * n * x[i] + phi))
return 0.1 * hx / np.max(hx)
def rough():
"""Reading values from file Rough.txt"""
f = open('Rough.txt','r')
RoughList = []
for line in f:
RoughList.append(float(line))
return np.array(RoughList)
def RMS(array):
"""Calculates the root-mean-squared value of an array.
"""
return np.sqrt(array @ array / array.size)
def derivate(array, step=100):
"""Calculates the first order derivative of an array. It differs from
np.diff because this returns an array of the same lenght as the input one.
It becomes useful for plotting.
"""
deriv = np.zeros_like(array)
deriv[0] = array[1] - array[0]
deriv[1:] = np.diff(array)
return deriv * step
# =============================================================================
# Importing values of PID
# =============================================================================
StepPID = pd.read_excel('Scalino.xlsx')
StepPID = np.asarray(StepPID)
ImpulsePID = pd.read_excel('impulso.xlsx')
ImpulsePID = np.asarray(ImpulsePID)
BumpPID = pd.read_excel('BumpPID.xlsx')
BumpPID = np.asarray(BumpPID)
RoughPID = pd.read_excel('Rough.xlsx')
RoughPID = np.asarray(RoughPID)
# =============================================================================
# STATE SPACE REPRESENTATION
# x1 = x_body
# x2 = x_wheel
# x3 = x_body'
# x4 = x_wheel'
# =============================================================================
# Main spring stiffness
k_s = 15000 # N/m
# Sprung mass
m_b = 250 # kg
# Viscous damper
c_s = 1000 # N/(m/s)
# Unsprung mass (wheel)
m_w = 30 # kg
# Tyre stiffness
k_t = 150000 # N/m
# Skyhook damping
c_sky = 1000 # N/(m/s)
# Different road simulations
Impulse = impulse(1000)
Step = step(1000)
Bump = bump()
Rough = rough()
# =============================================================================
# ## ODE solution - fuzzy
# =============================================================================
# Step
solStep = ode(fuzzySuspensionModel).set_integrator('dopri5',
atol=1e-6)
state0 = [0, 0, 0, 0]
solStep.set_initial_value(state0)
tFin = 10 - 0.01
dt = 0.01
Time = []
StepState = []
counter = 0
progress = pyprind.ProgBar(1000, title='Processing: Step')
while solStep.successful() and solStep.t < tFin:
solStep.set_f_params(Step[counter])
solStep.integrate(solStep.t + dt)
StepState.append(solStep.y)
Time.append(solStep.t)
counter += 1
progress.update()
Time = np.asarray(Time)
StepState = np.asarray(StepState)
# Impulse
solImpulse = ode(fuzzySuspensionModel).set_integrator('dopri5',
atol=1e-6)
state0 = [0, 0, 0, 0]
solImpulse.set_initial_value(state0)
tFin = 10 - 0.01
dt = 0.01
Time = []
ImpulseState = []
counter = 0
progress = pyprind.ProgBar(1000, title='Processing: Impulse')
while solImpulse.successful() and solImpulse.t < tFin:
solImpulse.set_f_params(Impulse[counter])
solImpulse.integrate(solImpulse.t + dt)
ImpulseState.append(solImpulse.y)
Time.append(solImpulse.t)
counter += 1
progress.update()
Time = np.asarray(Time)
ImpulseState = np.asarray(ImpulseState)
# Bump
solBump = ode(fuzzySuspensionModel).set_integrator('dopri5',
atol=1e-6)
state0 = [0, 0, 0, 0]
solBump.set_initial_value(state0)
tFin = 10 - 0.01
dt = 0.01
Time = []
BumpState = []
counter = 0
progress = pyprind.ProgBar(1000, title='Processing: Bump')
while solBump.successful() and solBump.t < tFin:
solBump.set_f_params(Bump[counter])
solBump.integrate(solBump.t + dt)
BumpState.append(solBump.y)
Time.append(solBump.t)
counter += 1
progress.update()
Time = np.asarray(Time)
BumpState = np.asarray(BumpState)
# Rough road
solRough = ode(fuzzySuspensionModel).set_integrator('dopri5', atol=1e-6)
state0 = [0, 0, 0, 0]
solRough.set_initial_value(state0)
tFin = 10 - 0.01
dt = 0.01
Time = []
RoughState = []
counter = 0
progress = pyprind.ProgBar(1000, title='Processing: Rough')
while solRough.successful() and solRough.t < tFin:
solRough.set_f_params(Rough[counter])
solRough.integrate(solRough.t + dt)
RoughState.append(solRough.y)
Time.append(solRough.t)
counter += 1
progress.update()
Time = np.asarray(Time)
RoughState = np.asarray(RoughState)
# =============================================================================
# ## ODE solution - passive
# =============================================================================
# Step
solStep2 = ode(passiveSuspensionModel).set_integrator('dopri5', atol=1e-6)
state0 = [0, 0, 0, 0]
solStep2.set_initial_value(state0)
tFin = 10 - 0.01
dt = 0.01
Time2 = []
StepState2 = []
counter = 0
progress = pyprind.ProgBar(1000, title='Processing: Step')
while solStep2.successful() and solStep2.t < tFin:
solStep2.set_f_params(Step[counter])
solStep2.integrate(solStep2.t + dt)
StepState2.append(solStep2.y)
Time2.append(solStep2.t)
counter += 1
progress.update()
Time2 = np.asarray(Time2)
StepState2 = np.asarray(StepState2)
# Impulse
solImpulse2 = ode(passiveSuspensionModel).set_integrator('dopri5', atol=1e-6)
state0 = [0, 0, 0, 0]
solImpulse2.set_initial_value(state0)
tFin = 10 - 0.01
dt = 0.01
Time2 = []
ImpulseState2 = []
counter = 0
progress = pyprind.ProgBar(1000, title='Processing: Impulse')
while solImpulse2.successful() and solImpulse2.t < tFin:
solImpulse2.set_f_params(Impulse[counter])
solImpulse2.integrate(solImpulse2.t + dt)
ImpulseState2.append(solImpulse2.y)
Time2.append(solImpulse2.t)
counter += 1
progress.update()
Time2 = np.asarray(Time2)
ImpulseState2 = np.asarray(ImpulseState2)
# Bump
solBump2 = ode(passiveSuspensionModel).set_integrator('dopri5', atol=1e-6)
state0 = [0, 0, 0, 0]
solBump2.set_initial_value(state0)
tFin = 10 - 0.01
dt = 0.01
Time2 = []
BumpState2 = []
counter = 0
progress = pyprind.ProgBar(1000, title='Processing: Bump')
while solBump2.successful() and solBump2.t < tFin:
solBump2.set_f_params(Bump[counter])
solBump2.integrate(solBump2.t + dt)
BumpState2.append(solBump2.y)
Time2.append(solBump2.t)
counter += 1
progress.update()
Time2 = np.asarray(Time2)
BumpState2 = np.asarray(BumpState2)
# Rough road
solRough2 = ode(passiveSuspensionModel).set_integrator('dopri5', atol=1e-6)
state0 = [0, 0, 0, 0]
solRough2.set_initial_value(state0)
tFin = 10 - 0.01
dt = 0.01
Time2 = []
RoughState2 = []
counter = 0
progress = pyprind.ProgBar(1000, title='Processing: Rough')
while solRough2.successful() and solRough2.t < tFin:
solRough2.set_f_params(Rough[counter])
solRough2.integrate(solRough2.t + dt)
RoughState2.append(solRough2.y)
Time2.append(solRough2.t)
counter += 1
progress.update()
Time2 = np.asarray(Time2)
RoughState2 = np.asarray(RoughState2)
# =============================================================================
# ## ODE solution - skyhook
# =============================================================================
# Step
solStep3 = ode(skyhookSuspensionModel).set_integrator('dopri5', atol=1e-6)
state0 = [0, 0, 0, 0]
solStep3.set_initial_value(state0)
tFin = 10 - 0.01
dt = 0.01
Time3 = []
StepState3 = []
counter = 0
progress = pyprind.ProgBar(1000, title='Processing: Step')
while solStep3.successful() and solStep3.t < tFin:
solStep3.set_f_params(Step[counter])
solStep3.integrate(solStep3.t + dt)
StepState3.append(solStep3.y)
Time3.append(solStep3.t)
counter += 1
progress.update()
Time3 = np.asarray(Time3)
StepState3 = np.asarray(StepState3)
# Impulse
solImpulse3 = ode(skyhookSuspensionModel).set_integrator('dopri5', atol=1e-6)
state0 = [0, 0, 0, 0]
solImpulse3.set_initial_value(state0)
tFin = 10 - 0.01
dt = 0.01
Time3 = []
ImpulseState3 = []
counter = 0
progress = pyprind.ProgBar(1000, title='Processing: Impulse')
while solImpulse3.successful() and solImpulse3.t < tFin:
solImpulse3.set_f_params(Impulse[counter])
solImpulse3.integrate(solImpulse3.t + dt)
ImpulseState3.append(solImpulse3.y)
Time3.append(solImpulse3.t)
counter += 1
progress.update()
Time3 = np.asarray(Time3)
ImpulseState3 = np.asarray(ImpulseState3)
# Bump
solBump3 = ode(skyhookSuspensionModel).set_integrator('dopri5', atol=1e-6)
state0 = [0, 0, 0, 0]
solBump3.set_initial_value(state0)
tFin = 10 - 0.01
dt = 0.01
Time3 = []
BumpState3 = []
counter = 0
progress = pyprind.ProgBar(1000, title='Processing: Bump')
while solBump3.successful() and solBump3.t < tFin:
solBump3.set_f_params(Bump[counter])
solBump3.integrate(solBump3.t + dt)
BumpState3.append(solBump3.y)
Time3.append(solBump3.t)
counter += 1
progress.update()
Time3 = np.asarray(Time3)
BumpState3 = np.asarray(BumpState3)
# Rough road
solRough3 = ode(skyhookSuspensionModel).set_integrator('dopri5', atol=1e-6)
state0 = [0, 0, 0, 0]
solRough3.set_initial_value(state0)
tFin = 10 - 0.01
dt = 0.01
Time3 = []
RoughState3 = []
counter = 0
progress = pyprind.ProgBar(1000, title='Processing: Rough')
while solRough3.successful() and solRough3.t < tFin:
solRough3.set_f_params(Rough[counter])
solRough3.integrate(solRough3.t + dt)
RoughState3.append(solRough3.y)
Time3.append(solRough3.t)
counter += 1
progress.update()
Time3 = np.asarray(Time3)
RoughState3 = np.asarray(RoughState3)
# =============================================================================
# ACCELERATION EVALUATION (AND FUZZY FORCE)
# =============================================================================
# Step
StepAcc = derivate(StepState[:, 2])
StepAcc2 = derivate(StepState2[:, 2])
StepAcc3 = derivate(StepState3[:, 2])
StepForce = (-k_s * StepState[:, 0] + k_s * StepState[:, 1] -
c_s * StepState[:, 2] + c_s * StepState[:, 3] - StepAcc[:] * m_b)
# Impulse
ImpulseAcc = derivate(ImpulseState[:, 2])
ImpulseAcc2 = derivate(ImpulseState2[:, 2])
ImpulseAcc3 = derivate(ImpulseState3[:, 2])
ImpulseForce = (-k_s * ImpulseState[:, 0] + k_s * ImpulseState[:, 1] -
c_s * ImpulseState[:, 2] + c_s * ImpulseState[:, 3] -
ImpulseAcc[:] * m_b)
# Bump
BumpAcc = derivate(BumpState[:, 2])
BumpAcc2 = derivate(BumpState2[:, 2])
BumpAcc3 = derivate(BumpState3[:, 2])
BumpForce = (-k_s * BumpState[:, 0] + k_s * BumpState[:, 1] -
c_s * BumpState[:, 2] + c_s * BumpState[:, 3] - BumpAcc[:] * m_b)
# Rough
RoughAcc = derivate(RoughState[:, 2])
RoughAcc2 = derivate(RoughState2[:, 2])
RoughAcc3 = derivate(RoughState3[:, 2])
RoughForce = (-k_s * RoughState[:, 0] + k_s * RoughState[:, 1] -
c_s * RoughState[:, 2] + c_s * RoughState[:, 3] -
RoughAcc[:] * m_b)
# =============================================================================
# # PLOTTING
# =============================================================================
# Step
plt.figure(1)
plt.plot(Time, 1e3 * StepState[:, 0], 'C1', label='Fuzzy')
plt.plot(Time2, 1e3 * StepState2[:, 0], 'C2', label='Passive', linewidth=1)
plt.plot(Time3, 1e3 * StepState3[:, 0], 'C3', label='Skyhook', linewidth=1)
plt.plot(StepPID[:, 0], 1e3 * StepPID[:, 1], 'C4', label='PID', linewidth=1)
plt.plot(Time, 1e3 * Step, 'C0', label='Road', linewidth=0.8)
plt.xlabel('Time [s]')
plt.ylabel('Body displacement [mm]')
plt.legend()
plt.figure(2)
plt.plot(Time, 1e3 * StepState[:, 1], 'C1', label='Fuzzy')
plt.plot(Time2, 1e3 * StepState2[:, 1], 'C2', label='Passive', linewidth=1)
plt.plot(Time3, 1e3 * StepState3[:, 1], 'C3', label='Skyhook', linewidth=1)
plt.plot(StepPID[:, 0], 1e3 * StepPID[:, 2], 'C4', label='PID', linewidth=1)
plt.xlabel('Time [s]')
plt.ylabel('Unsprung mass displacement [mm]')
plt.legend()
plt.figure(3)
plt.plot(Time, StepAcc, 'C1', label='Fuzzy')
plt.plot(Time2, StepAcc2, 'C2', label='Passive', linewidth=1)
plt.plot(Time3, StepAcc3, 'C3', label='Skyhook', linewidth=1)
plt.plot(StepPID[:, 0], StepPID[:, 3], 'C4', label='PID', linewidth=1)
# plt.plot(Time, StepForce/m_b, 'C0', label='Force', linewidth=0.8)
plt.xlabel('Time [s]')
plt.ylabel(r'Body acceleration [m/${s^2}$]')
plt.legend()
# Impulse
plt.figure(4)
plt.plot(Time, 1e3 * ImpulseState[:, 0], 'C1', label='Fuzzy')
plt.plot(Time2, 1e3 * ImpulseState2[:, 0], 'C2', label='Passive', linewidth=1)
plt.plot(Time3, 1e3 * ImpulseState3[:, 0], 'C3', label='Skyhook', linewidth=1)
plt.plot(ImpulsePID[:, 0], 1e3 * ImpulsePID[:, 1], 'C4', label='PID', linewidth=1)
plt.plot(Time, 1e3 * Impulse, 'C0', label='Road', linewidth=0.8)
plt.xlabel('Time [s]')
plt.ylabel('Body displacement [mm]')
plt.legend()
plt.figure(5)
plt.plot(Time, 1e3 * ImpulseState[:, 1], 'C1', label='Fuzzy')
plt.plot(Time2, 1e3 * ImpulseState2[:, 1], 'C2', label='Passive', linewidth=1)
plt.plot(Time3, 1e3 * ImpulseState3[:, 1], 'C3', label='Skyhook', linewidth=1)
plt.plot(ImpulsePID[:, 0], 1e3 * ImpulsePID[:, 2], 'C4', label='PID', linewidth=1)
plt.xlabel('Time [s]')
plt.ylabel('Unsprung mass displacement [mm]')
plt.legend()
plt.figure(6)
plt.plot(Time, ImpulseAcc, 'C1', label='Fuzzy')
plt.plot(Time2, ImpulseAcc2, 'C2', label='Passive', linewidth=1)
plt.plot(Time3, ImpulseAcc3, 'C3', label='Skyhook', linewidth=1)
plt.plot(ImpulsePID[:, 0], ImpulsePID[:, 3], 'C4', label='PID', linewidth=1)
# plt.plot(Time, ImpulseForce/m_b, 'C0', label='Force', linewidth=0.8)
plt.xlabel('Time [s]')
plt.ylabel(r'Body acceleration [m/${s^2}$]')
plt.legend()
# Bump
plt.figure(7)
plt.plot(Time, 1e3 * BumpState[:, 0], 'C1', label='Fuzzy')
plt.plot(Time2, 1e3 * BumpState2[:, 0], 'C2', label='Passive', linewidth=1)
plt.plot(Time3, 1e3 * BumpState3[:, 0], 'C3', label='Skyhook', linewidth=1)
plt.plot(BumpPID[:, 0], 1e3 * BumpPID[:, 1], 'C4', label='PID', linewidth=1)
plt.plot(Time, 1e3 * Bump, 'C0', label='Road', linewidth=0.8)
plt.xlabel('Time [s]')
plt.ylabel('Body displacement [mm]')
plt.legend()
plt.figure(8)
plt.plot(Time, 1e3 * BumpState[:, 1], 'C1', label='Fuzzy')
plt.plot(Time2, 1e3 * BumpState2[:, 1], 'C2', label='Passive', linewidth=1)
plt.plot(Time3, 1e3 * BumpState3[:, 1], 'C3', label='Skyhook', linewidth=1)
plt.plot(BumpPID[:, 0], 1e3 * BumpPID[:, 2], 'C4', label='PID', linewidth=1)
plt.xlabel('Time [s]')
plt.ylabel('Unsprung mass displacement [mm]')
plt.legend()
plt.figure(9)
plt.plot(Time, BumpAcc, 'C1', label='Fuzzy')
plt.plot(Time2, BumpAcc2, 'C2', label='Passive', linewidth=1)
plt.plot(Time3, BumpAcc3, 'C3', label='Skyhook', linewidth=1)
plt.plot(BumpPID[:, 0], BumpPID[:, 3], 'C4', label='PID', linewidth=1)
# plt.plot(Time, BumpForce/m_b, 'C0', label='Force', linewidth=0.8)
plt.xlabel('Time [s]')
plt.ylabel(r'Body acceleration [m/${s^2}$]')
plt.legend()
# Rough
plt.figure(10)
plt.plot(Time, 1e3 * RoughState[:, 0], 'C1', label='Fuzzy')
plt.plot(Time2, 1e3 * RoughState2[:, 0], 'C2', label='Passive', linewidth=1)
plt.plot(Time3, 1e3 * RoughState3[:, 0], 'C3', label='Skyhook', linewidth=1)
plt.plot(RoughPID[:, 0], 1e3 * RoughPID[:, 1], 'C4', label='PID', linewidth=1)
plt.plot(Time, 1e3 * Rough, 'C0', label='Road', linewidth=0.8)
plt.xlabel('Time [s]')
plt.ylabel('Body displacement [mm]')
plt.legend()
plt.figure(11)
plt.plot(Time, 1e3 * RoughState[:, 1], 'C1', label='Fuzzy')
plt.plot(Time2, 1e3 * RoughState2[:, 1], 'C2', label='Passive', linewidth=1)
plt.plot(Time3, 1e3 * RoughState3[:, 1], 'C3', label='Skyhook', linewidth=1)
plt.plot(RoughPID[:, 0], 1e3 * RoughPID[:, 2], 'C4', label='PID', linewidth=1)
plt.xlabel('Time [s]')
plt.ylabel('Unsprung mass displacement [mm]')
plt.legend()
plt.figure(12)
plt.plot(Time, RoughAcc, 'C1', label='Fuzzy')
plt.plot(Time2, RoughAcc2, 'C2', label='Passive', linewidth=1)
plt.plot(Time3, RoughAcc3, 'C3', label='Skyhook', linewidth=1)
plt.plot(RoughPID[:, 0], RoughPID[:, 3], 'C4', label='PID', linewidth=1)
# plt.plot(Time, RoughForce/m_b, 'C0', label='Force', linewidth=0.8)
plt.xlabel('Time [s]')
plt.ylabel(r'Body acceleration [m/${s^2}$]')
plt.legend()
# =============================================================================
# RESULTS
# =============================================================================
# Calculation of RMS for:
# (1) Body displacement
# (2) Body accelaration
# (3) Wheel hop (unsprung mass displacement)
#StepFuzzyRMS = np.array([
# RMS(StepState[:, 0]),
# RMS(StepAcc),
# RMS(StepState[:, 1])
# ])
#
#StepPassiveRMS = np.array([
# RMS(StepState2[:, 0]),
# RMS(StepAcc2),
# RMS(StepState2[:, 1])
# ])
#
#StepSkyhookRMS = np.array([
# RMS(StepState3[:, 0]),
# RMS(StepAcc3),
# RMS(StepState3[:, 1])
# ])
#
#StepResult = np.array([
# (StepFuzzyRMS - StepPassiveRMS) / StepPassiveRMS,
# (StepSkyhookRMS - StepPassiveRMS) / StepPassiveRMS,
# ]) * 100
#
#ImpulseFuzzyRMS = np.array([
# RMS(ImpulseState[:, 0]),
# RMS(ImpulseAcc),
# RMS(ImpulseState[:, 1])
# ])
#
#ImpulsePassiveRMS = np.array([
# RMS(ImpulseState2[:, 0]),
# RMS(ImpulseAcc2),
# RMS(ImpulseState2[:, 1])
# ])
#
#ImpulseSkyhookRMS = np.array([
# RMS(ImpulseState3[:, 0]),
# RMS(ImpulseAcc3),
# RMS(ImpulseState3[:, 1])
# ])
#
#ImpulseResult = np.array([
# (ImpulseFuzzyRMS - ImpulsePassiveRMS) / ImpulsePassiveRMS,
# (ImpulseSkyhookRMS - ImpulsePassiveRMS) / ImpulsePassiveRMS
# ]) * 100
#
#BumpFuzzyRMS = np.array([
# RMS(BumpState[:, 0]),
# RMS(BumpAcc),
# RMS(BumpState[:, 1])
# ])
#
#BumpPassiveRMS = np.array([
# RMS(BumpState2[:, 0]),
# RMS(BumpAcc2),
# RMS(BumpState2[:, 1])
# ])
#
#BumpSkyhookRMS = np.array([
# RMS(BumpState3[:, 0]),
# RMS(BumpAcc3),
# RMS(BumpState3[:, 1])
# ])
#
#BumpResult = np.array([
# (BumpFuzzyRMS - BumpPassiveRMS) / BumpPassiveRMS,
# (BumpSkyhookRMS - BumpPassiveRMS) / BumpPassiveRMS
# ]) * 100
RoughFuzzyRMS = np.array([
RMS(RoughState[:, 0] - Rough),
RMS(RoughAcc),
RMS(RoughState[:, 1] - Rough)
])
RoughPassiveRMS = np.array([
RMS(RoughState2[:, 0] - Rough),
RMS(RoughAcc2),
RMS(RoughState2[:, 1] - Rough)
])
RoughSkyhookRMS = np.array([
RMS(RoughState3[:, 0] - Rough),
RMS(RoughAcc3),
RMS(RoughState3[:, 1] - Rough)
])
RoughPIDRMS = np.array([
RMS(RoughPID[:, 1] - Rough[:-1]),
RMS(RoughPID[:, 3]),
RMS(RoughPID[:, 2] - Rough[:-1])
])
RoughResult = np.array([
(RoughFuzzyRMS - RoughPassiveRMS) / RoughPassiveRMS,
(RoughSkyhookRMS - RoughPassiveRMS) / RoughPassiveRMS,
(RoughPIDRMS - RoughPassiveRMS) / RoughPassiveRMS
]) * 100
#RoughResult = np.array([
# (RoughFuzzyRMS - RMS(Rough)) / RMS(Rough),
# (RoughSkyhookRMS - RMS(Rough)) / RMS(Rough),
# (RoughPIDRMS - RMS(Rough)) / RMS(Rough)
# ]) * 100
# =============================================================================
# FFT ANALYSIS
# =============================================================================
label = ['Fuzzy', 'Passive', 'Skyhook', 'PID']
colors = ['C1', 'C2', 'C3', 'C4']
i = 0
for acc in [StepAcc, StepAcc2, StepAcc3, StepPID[:, 3]]:
fft = np.fft.fft(acc)
freq = np.fft.fftfreq(len(acc), 0.01)
plt.figure(13)
plt.loglog(np.abs(freq), np.abs(fft), colors[i], label=label[i],
linewidth=1)
i += 1
plt.legend()
plt.xlabel('Frequency [Hz]')
plt.ylabel('Acceleration')
plt.title('Step')
i = 0
for acc in [ImpulseAcc, ImpulseAcc2, ImpulseAcc3, ImpulsePID[:, 3]]:
fft = np.fft.fft(acc)
freq = np.fft.fftfreq(len(acc), 0.01)
plt.figure(14)
plt.loglog(np.abs(freq), np.abs(fft), colors[i], label=label[i],
linewidth=1)
i += 1
plt.legend()
plt.xlabel('Frequency [Hz]')
plt.ylabel('Acceleration')
plt.title('Impulse')
i = 0
for acc in [BumpAcc, BumpAcc2, BumpAcc3]:
fft = np.fft.fft(acc)
freq = np.fft.fftfreq(len(acc), 0.01)
plt.figure(15)
plt.loglog(np.abs(freq), np.abs(fft), colors[i],
label=label[i], linewidth=1)
i += 1
plt.legend()
plt.xlabel('Frequency [Hz]')
plt.ylabel('Acceleration')
plt.title('Bump')
i = 0
for acc in [RoughAcc, RoughAcc2, RoughAcc3]:
fft = np.fft.fft(acc)
freq = np.fft.fftfreq(len(acc), 0.01)
plt.figure(16)
plt.loglog(np.abs(freq), np.abs(fft),colors[i],
label=label[i], linewidth=1)
i += 1
plt.legend()
plt.xlabel('Frequency [Hz]')
plt.ylabel('Acceleration')
plt.title('Rough')
| 29.73253
| 82
| 0.56678
|
8bae7f55a261a7c3c248850c794f2efd73be536a
| 950
|
py
|
Python
|
pywatts/modules/wrappers/dl_wrapper.py
|
KIT-IAI/pyWATTS
|
68993bb51ff272c1a98add31e2b537b63e9d0848
|
[
"MIT"
] | 30
|
2020-10-04T17:32:58.000Z
|
2022-03-18T15:06:39.000Z
|
pywatts/modules/wrappers/dl_wrapper.py
|
KIT-IAI/pyWATTS
|
68993bb51ff272c1a98add31e2b537b63e9d0848
|
[
"MIT"
] | 123
|
2020-10-26T14:42:12.000Z
|
2022-03-31T09:15:55.000Z
|
pywatts/modules/wrappers/dl_wrapper.py
|
KIT-IAI/pyWATTS
|
68993bb51ff272c1a98add31e2b537b63e9d0848
|
[
"MIT"
] | 7
|
2020-10-21T15:13:43.000Z
|
2022-03-07T15:47:49.000Z
|
# pylint: disable=W0223
# Pylint cannot handle abstract subclasses of abstract base classes
from abc import ABC
import xarray as xr
from pywatts.modules.wrappers.base_wrapper import BaseWrapper
| 26.388889
| 80
| 0.656842
|
8baf2837359bef97c791a3fa5aa72048d1181a43
| 590
|
py
|
Python
|
examples/parallel_spectra.py
|
zhaonat/py-maxwell-fd3d
|
bfa4fb826401b98371fdd9306c5fee2e74e7e545
|
[
"MIT"
] | 3
|
2022-01-21T03:53:25.000Z
|
2022-01-23T04:54:43.000Z
|
examples/parallel_spectra.py
|
Guowu-Mcgill/py-maxwell-fd3d
|
bfa4fb826401b98371fdd9306c5fee2e74e7e545
|
[
"MIT"
] | null | null | null |
examples/parallel_spectra.py
|
Guowu-Mcgill/py-maxwell-fd3d
|
bfa4fb826401b98371fdd9306c5fee2e74e7e545
|
[
"MIT"
] | 1
|
2022-01-23T04:54:47.000Z
|
2022-01-23T04:54:47.000Z
|
import os,sys
Nthread = 1
os.environ["OMP_NUM_THREADS"] = str(Nthread) # export OMP_NUM_THREADS=1
os.environ["OPENBLAS_NUM_THREADS"] = str(Nthread) # export OPENBLAS_NUM_THREADS=1
os.environ["MKL_NUM_THREADS"] = str(Nthread) # export MKL_NUM_THREADS=1
os.environ["VECLIB_MAXIMUM_THREADS"] = str(Nthread) # export VECLIB_MAXIMUM_THREADS=1
os.environ["NUMEXPR_NUM_THREADS"] = str(Nthread) # export NUMEXPR_NUM_THREADS=1
## generate spectrum, which requires several simulations...using mip4py
# test system will initially be a fabry-perot slab, since the spectrum is analytically determinable
| 59
| 99
| 0.798305
|
8bb10d5482f7eb91428767e4939740b77a7d3702
| 2,386
|
py
|
Python
|
Emotional-Recognition-Facial/create_training_classification_set.py
|
ductai199x/No-more-bad-days
|
ceb7da2d2464062ad4aea028cdfa98380661702c
|
[
"Apache-2.0"
] | 1
|
2018-01-18T15:10:40.000Z
|
2018-01-18T15:10:40.000Z
|
Emotional-Recognition-Facial/create_training_classification_set.py
|
ductai199x/No-more-bad-days
|
ceb7da2d2464062ad4aea028cdfa98380661702c
|
[
"Apache-2.0"
] | null | null | null |
Emotional-Recognition-Facial/create_training_classification_set.py
|
ductai199x/No-more-bad-days
|
ceb7da2d2464062ad4aea028cdfa98380661702c
|
[
"Apache-2.0"
] | null | null | null |
import cv2
import glob
import random
import numpy as np
emotions = ["neutral", "anger", "disgust", "happy", "surprise"]
fishface = cv2.face.FisherFaceRecognizer_create() #Initialize fisher face classifier
data = {}
#Now run it
metascore = []
for i in range(0,10):
correct = run_recognizer()
print "got", correct, "percent correct!"
metascore.append(correct)
print "\n\nend score:", np.mean(metascore), "percent correct!"
| 33.605634
| 129
| 0.731769
|
8bb228a7e4380e3d2e78dff77a6e5e75257a88f3
| 1,109
|
py
|
Python
|
main.py
|
Zlobin/wp-updater
|
e10ebbb7ddd2a2398c7a660d134ce8598738fe7d
|
[
"MIT"
] | null | null | null |
main.py
|
Zlobin/wp-updater
|
e10ebbb7ddd2a2398c7a660d134ce8598738fe7d
|
[
"MIT"
] | null | null | null |
main.py
|
Zlobin/wp-updater
|
e10ebbb7ddd2a2398c7a660d134ce8598738fe7d
|
[
"MIT"
] | null | null | null |
# python3 main.py
import urllib.request
import zipfile
import os
import shutil
# @TODO change it
# eg.: /var/www/blog
OLD_WP_PATH = ''
NEW_WP_PATH_TMP = ''
if not (os.path.exists(OLD_WP_PATH)) or not (os.path.exists(NEW_WP_PATH_TMP)):
os._exit(0)
WP_URL = 'http://wordpress.org/latest.zip'
EXTRACTED_NAME = 'wordpress'
NEW_WP_PATH = os.path.join(NEW_WP_PATH_TMP, EXTRACTED_NAME)
# Download the file from url, save it in a temporary directory and get the
# path to it (e.g. '/tmp/tmpb43hma') in the `wp_archve` variable:
wp_archive, headers = urllib.request.urlretrieve(WP_URL)
with zipfile.ZipFile(wp_archive, 'r') as zf:
zf.extractall(NEW_WP_PATH_TMP)
os.remove(wp_archive)
# Remove new files
shutil.rmtree(os.path.join(NEW_WP_PATH, 'wp-content'))
os.remove(os.path.join(NEW_WP_PATH, 'readme.html'))
# Copy content to the new WP
shutil.copy2(os.path.join(OLD_WP_PATH, 'wp-config.php'), NEW_WP_PATH)
shutil.copytree(os.path.join(OLD_WP_PATH, 'wp-content'), os.path.join(NEW_WP_PATH, 'wp-content'))
shutil.rmtree(OLD_WP_PATH)
shutil.copytree(NEW_WP_PATH, OLD_WP_PATH)
shutil.rmtree(NEW_WP_PATH)
| 27.04878
| 97
| 0.757439
|
8bb2c815f8cb9c7313bf196f810ccfc535e6256b
| 435
|
py
|
Python
|
第4章/program/Chapter_4_compare.py
|
kingname/SourceCodeOfBook
|
ab7275108994dca564905818b678bbd2f771c18e
|
[
"MIT"
] | 274
|
2018-10-01T11:07:25.000Z
|
2022-03-17T13:48:45.000Z
|
第4章/program/Chapter_4_compare.py
|
kingname/SourceCodeOfBook
|
ab7275108994dca564905818b678bbd2f771c18e
|
[
"MIT"
] | 6
|
2019-02-28T14:18:21.000Z
|
2022-03-02T14:57:39.000Z
|
第4章/program/Chapter_4_compare.py
|
kingname/SourceCodeOfBook
|
ab7275108994dca564905818b678bbd2f771c18e
|
[
"MIT"
] | 110
|
2018-10-16T06:08:37.000Z
|
2022-03-16T08:19:29.000Z
|
import requests
import time
from multiprocessing.dummy import Pool
start = time.time()
for i in range(100):
query('https://baidu.com')
end = time.time()
print(f'100{end - start}')
start = time.time()
url_list = []
for i in range(100):
url_list.append('https://baidu.com')
pool = Pool(5)
pool.map(query, url_list)
end = time.time()
print(f'5100{end - start}')
| 18.125
| 40
| 0.682759
|
8bb336feea80faaae86bf909a42bb1e797a4c310
| 702
|
py
|
Python
|
hole/migrations/0008_auto_20210128_1959.py
|
kavinzhao/fduhole
|
508922cfa0558c58b95206dd8fbf51d10525fa1e
|
[
"Apache-2.0"
] | 9
|
2021-04-14T12:08:38.000Z
|
2021-12-16T08:14:40.000Z
|
hole/migrations/0008_auto_20210128_1959.py
|
kavinzhao/fduhole
|
508922cfa0558c58b95206dd8fbf51d10525fa1e
|
[
"Apache-2.0"
] | 9
|
2021-04-18T09:48:25.000Z
|
2021-11-26T07:43:22.000Z
|
hole/migrations/0008_auto_20210128_1959.py
|
kavinzhao/fduhole
|
508922cfa0558c58b95206dd8fbf51d10525fa1e
|
[
"Apache-2.0"
] | 4
|
2021-07-15T02:10:42.000Z
|
2022-01-22T02:12:11.000Z
|
# Generated by Django 3.1.5 on 2021-01-28 11:59
from django.db import migrations, models
| 24.206897
| 73
| 0.566952
|
8bb369887e18a7fa4f7256d2ff77d3ccf9f84c6a
| 5,607
|
py
|
Python
|
nfv/nfv-vim/nfv_vim/nfvi/api/v1/_nfvi_network_api.py
|
SidneyAn/nfv
|
5f0262a5b6ea4be59f977b9c587c483cbe0e373d
|
[
"Apache-2.0"
] | 2
|
2020-02-07T19:01:36.000Z
|
2022-02-23T01:41:46.000Z
|
nfv/nfv-vim/nfv_vim/nfvi/api/v1/_nfvi_network_api.py
|
SidneyAn/nfv
|
5f0262a5b6ea4be59f977b9c587c483cbe0e373d
|
[
"Apache-2.0"
] | 1
|
2021-01-14T12:02:25.000Z
|
2021-01-14T12:02:25.000Z
|
nfv/nfv-vim/nfv_vim/nfvi/api/v1/_nfvi_network_api.py
|
SidneyAn/nfv
|
5f0262a5b6ea4be59f977b9c587c483cbe0e373d
|
[
"Apache-2.0"
] | 2
|
2021-01-13T08:39:21.000Z
|
2022-02-09T00:21:55.000Z
|
#
# Copyright (c) 2015-2016 Wind River Systems, Inc.
#
# SPDX-License-Identifier: Apache-2.0
#
import abc
import six
| 24.809735
| 85
| 0.574817
|
8bb4b5b36380f83dc59bb259a75e2877488cbe5c
| 750
|
py
|
Python
|
array/max_subarray.py
|
elenaborisova/LeetCode-Solutions
|
98376aab7fd150a724e316357ae5ea46988d9eac
|
[
"MIT"
] | null | null | null |
array/max_subarray.py
|
elenaborisova/LeetCode-Solutions
|
98376aab7fd150a724e316357ae5ea46988d9eac
|
[
"MIT"
] | null | null | null |
array/max_subarray.py
|
elenaborisova/LeetCode-Solutions
|
98376aab7fd150a724e316357ae5ea46988d9eac
|
[
"MIT"
] | null | null | null |
# DP; Time: O(n); Space: O(1)
# Time: O(n); Space: O(1)
# Test cases:
print(max_subarray([-2, 1, -3, 4, -1, 2, 1, -5, 4]) == 6)
print(max_subarray([1]) == 1)
print(max_subarray([5, 4, -1, 7, 8]) == 23)
| 22.058824
| 57
| 0.52
|
8bb4f4ea88058eb0410caa3dc14fb32b876055fc
| 4,696
|
py
|
Python
|
python/trezorlib/cosi.py
|
Kayuii/trezor-crypto
|
6556616681a4e2d7e18817e8692d4f6e041dee01
|
[
"MIT"
] | null | null | null |
python/trezorlib/cosi.py
|
Kayuii/trezor-crypto
|
6556616681a4e2d7e18817e8692d4f6e041dee01
|
[
"MIT"
] | 1
|
2019-02-08T00:22:42.000Z
|
2019-02-13T09:41:54.000Z
|
python/trezorlib/cosi.py
|
Kayuii/trezor-crypto
|
6556616681a4e2d7e18817e8692d4f6e041dee01
|
[
"MIT"
] | 2
|
2019-02-07T23:57:09.000Z
|
2020-10-21T07:07:27.000Z
|
# This file is part of the Trezor project.
#
# Copyright (C) 2012-2018 SatoshiLabs and contributors
#
# This library is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License version 3
# as published by the Free Software Foundation.
#
# This library is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU Lesser General Public License for more details.
#
# You should have received a copy of the License along with this library.
# If not, see <https://www.gnu.org/licenses/lgpl-3.0.html>.
from functools import reduce
from typing import Iterable, List, Tuple
from . import _ed25519, messages
from .tools import expect
# XXX, these could be NewType's, but that would infect users of the cosi module with these types as well.
# Unsure if we want that.
Ed25519PrivateKey = bytes
Ed25519PublicPoint = bytes
Ed25519Signature = bytes
def combine_keys(pks: Iterable[Ed25519PublicPoint]) -> Ed25519PublicPoint:
"""Combine a list of Ed25519 points into a "global" CoSi key."""
P = [_ed25519.decodepoint(pk) for pk in pks]
combine = reduce(_ed25519.edwards_add, P)
return Ed25519PublicPoint(_ed25519.encodepoint(combine))
def combine_sig(
global_R: Ed25519PublicPoint, sigs: Iterable[Ed25519Signature]
) -> Ed25519Signature:
"""Combine a list of signatures into a single CoSi signature."""
S = [_ed25519.decodeint(si) for si in sigs]
s = sum(S) % _ed25519.l
sig = global_R + _ed25519.encodeint(s)
return Ed25519Signature(sig)
def get_nonce(
sk: Ed25519PrivateKey, data: bytes, ctr: int = 0
) -> Tuple[int, Ed25519PublicPoint]:
"""Calculate CoSi nonces for given data.
These differ from Ed25519 deterministic nonces in that there is a counter appended at end.
Returns both the private point `r` and the partial signature `R`.
`r` is returned for performance reasons: :func:`sign_with_privkey`
takes it as its `nonce` argument so that it doesn't repeat the `get_nonce` call.
`R` should be combined with other partial signatures through :func:`combine_keys`
to obtain a "global commitment".
"""
# r = hash(hash(sk)[b .. 2b] + M + ctr)
# R = rB
h = _ed25519.H(sk)
bytesize = _ed25519.b // 8
assert len(h) == bytesize * 2
r = _ed25519.Hint(h[bytesize:] + data + ctr.to_bytes(4, "big"))
R = _ed25519.scalarmult(_ed25519.B, r)
return r, Ed25519PublicPoint(_ed25519.encodepoint(R))
def verify(
signature: Ed25519Signature, digest: bytes, pub_key: Ed25519PublicPoint
) -> None:
"""Verify Ed25519 signature. Raise exception if the signature is invalid."""
# XXX this *might* change to bool function
_ed25519.checkvalid(signature, digest, pub_key)
def pubkey_from_privkey(privkey: Ed25519PrivateKey) -> Ed25519PublicPoint:
"""Interpret 32 bytes of data as an Ed25519 private key.
Calculate and return the corresponding public key.
"""
return Ed25519PublicPoint(_ed25519.publickey_unsafe(privkey))
def sign_with_privkey(
digest: bytes,
privkey: Ed25519PrivateKey,
global_pubkey: Ed25519PublicPoint,
nonce: int,
global_commit: Ed25519PublicPoint,
) -> Ed25519Signature:
"""Create a CoSi signature of `digest` with the supplied private key.
This function needs to know the global public key and global commitment.
"""
h = _ed25519.H(privkey)
a = _ed25519.decodecoord(h)
S = (nonce + _ed25519.Hint(global_commit + global_pubkey + digest) * a) % _ed25519.l
return Ed25519Signature(_ed25519.encodeint(S))
# ====== Client functions ====== #
| 33.784173
| 105
| 0.70379
|
8bb52f491af72661c47a685434d4940a457e1a8b
| 2,881
|
py
|
Python
|
workflow/scripts/modifyFastQC.py
|
StephenRicher/RNA-Flow
|
57890772cb95beb390990618eb02f5d6e138312b
|
[
"MIT"
] | null | null | null |
workflow/scripts/modifyFastQC.py
|
StephenRicher/RNA-Flow
|
57890772cb95beb390990618eb02f5d6e138312b
|
[
"MIT"
] | null | null | null |
workflow/scripts/modifyFastQC.py
|
StephenRicher/RNA-Flow
|
57890772cb95beb390990618eb02f5d6e138312b
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
""" Create new FastQC zip directory with a new sample name for multiQC."""
import os
import sys
import logging
import zipfile
import tempfile
import argparse
__version__ = '1.0.0'
if __name__ == '__main__':
args = parse_arguments()
return_code = args.function(**vars(args))
logging.shutdown()
sys.exit(return_code)
| 34.710843
| 94
| 0.637279
|
8bb63310aa365a92b778a469e0b31fbf329b889f
| 7,711
|
py
|
Python
|
v0/aia_eis_v0/circuits/circuit_pack_01.py
|
DreamBoatOve/aia_eis
|
458b4d29846669b10db4da1b3e86c0b394614ceb
|
[
"MIT"
] | 1
|
2022-03-02T12:57:19.000Z
|
2022-03-02T12:57:19.000Z
|
v0/aia_eis_v0/circuits/circuit_pack_01.py
|
DreamBoatOve/aia_eis
|
458b4d29846669b10db4da1b3e86c0b394614ceb
|
[
"MIT"
] | null | null | null |
v0/aia_eis_v0/circuits/circuit_pack_01.py
|
DreamBoatOve/aia_eis
|
458b4d29846669b10db4da1b3e86c0b394614ceb
|
[
"MIT"
] | null | null | null |
from circuits.elements import ele_C as C
from circuits.elements import ele_L as L
from circuits.elements import ele_Warburg as WB
from circuits.elements import ele_Q as Q
"""
"""
"""
Define all the circuits used in this project
Python
a == (; b == )ab
Circuit(ECM) No. CDC Function
0 R(CR) RaCRb, Simplified Randles Cell
0 R0aC0R1b
1 R(QR) RaQRb
1 R(QR) R0aQ0R1b
2 R(QR)(QR) RaQRbaQRb
2 R(QR)(QR) R0aQ0R1baQ1R2b
3 R(QR(LR)) RaQRaLRbb
3 R(QR(LR)) R0aQ0R1aL0R2bb
4 R(Q(RW)) RaQaRWbb
4 R(Q(RW)) R0aQ0aR1W0bb
5 R(QR)(QR)W RaQRbaQRbW
5 R(QR)(QR)W R0aQ0R1baQ1R2bW0
6 R(QR)(Q(RW)) RaQRbaQaRWbb
6 R(QR)(Q(RW)) R0aQ0R1baQ1aR2W0bb
7 R(QR)W RaQRbW
7 R(QR)W R0aQ0R1bW0
8 R(Q(RW))Q RaQaRWbbQ
8 R(Q(RW))Q R0aQ0aR1W0bbQ1
9 R(Q(R(QR))) RaQaRaQRbbb
9 R(Q(R(QR))) R0aQ0aR1aQ1R2bbb
Q_pair = (q, n) or [q, n]
q: CPE coefficient, Constant phase element [s^n/ohm]
n: Constant phase elelment exponent [-]
WB_sigma: warburg coefficient
"""
# ECM-0 R(CR)
# ECM-0 R0(C0R1)
# ECM-1 R(QR), already include ECM-0, when n = 1
# ECM-2 R(QR)(QR)
# ECM-3 R(QR(LR))
# ECM-4 R(Q(RW))
# ECM-5 R(QR)(QR)W
# ECM-6 R(QR)(Q(RW))
# ECM-7 R(QR)W
# ECM-8 R(Q(RW))Q
# ECM-9 R(Q(R(QR)))
# ------------------ ECMs are not numbered ------------------
# DPFC: ECM-10 R0(C0R1)(C1(R2W0))
# DPFC: ECM-11 R0(C0R1(R2W0))(Q0R3)
# ------------------ ECMs are not numbered ------------------
#NEW RULE: ecm_2(two element)_001(Sequence)
#ecm_2_001 R0R1
#ecm_2_002 (R0R1)
#ecm_2_003 R0L0
#ecm_2_004 (R0L0)
#ecm_2_005 R0C0
#ecm_2_006 (R0C0)
#ecm_3_001 R0R1R2
#ecm_3_002 R0(R1R2)
#ecm_3_003 (R0R1R2)
#ecm_3_004 R0R1L0
#ecm_3_005 R0(R1L0)
#ecm_3_006 (R0R1)L0
#ecm_3_007 (R0R1L0)
#ecm_3_008 R0L0L1
#ecm_3_009 R0(L0L1)
#ecm_3_010 (R0L0L1)
#ecm_3_011 (R0L0)L1
#ecm_3_012 R0R1C0
#ecm_3_013 (R0R1)C0
#ecm_3_014 R0(R1C0)
#ecm_3_015 (R0R1C0)
#ecm_3_016 R0C0C1
#ecm_3_017 (R0C0)C1
#ecm_3_018 R0(C0C1)
#ecm_3_019 (R0C0C1)
#ecm_3_020 R0R1Q0
#ecm_3_021 (R0R1)Q0
#ecm_3_022 R0(R1Q0)
#ecm_3_023 (R0R1Q0)
#ecm_3_024 RQ0Q1
#ecm_3_025 (R0Q0)Q1
#ecm_3_026 R(Q0Q1)
#ecm_3_027 CCQ
#ecm_3_028 C(CQ)
#ecm_3_029 (CCQ)
#ecm_3_030 (CC)Q
#ecm_3_031 CQQ
#ecm_3_032 C(QQ)
#ecm_3_033 Q(CQ)
#ecm_3_034 (CQQ)
# ------------------ ECMs are not numbered ------------------
| 26.317406
| 126
| 0.489171
|
8bb6d2bd0e69ae1dc3728d097c16522641fbedbf
| 1,155
|
py
|
Python
|
devlib/exception.py
|
BayLibre/devlib
|
efa0ecdfe931caebc9a7dab16bb172b96c3f92cb
|
[
"Apache-2.0"
] | 1
|
2021-06-19T09:32:50.000Z
|
2021-06-19T09:32:50.000Z
|
devlib/exception.py
|
BayLibre/devlib
|
efa0ecdfe931caebc9a7dab16bb172b96c3f92cb
|
[
"Apache-2.0"
] | 1
|
2016-02-08T11:27:34.000Z
|
2016-02-08T11:27:34.000Z
|
devlib/exception.py
|
BayLibre/devlib
|
efa0ecdfe931caebc9a7dab16bb172b96c3f92cb
|
[
"Apache-2.0"
] | 3
|
2015-12-15T11:28:06.000Z
|
2016-03-04T16:36:19.000Z
|
# Copyright 2013-2015 ARM Limited
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from devlib.utils.misc import TimeoutError # NOQA pylint: disable=W0611
| 28.170732
| 101
| 0.732468
|
8bb84845a4e4ca234bb0e7dc0448fc8b70e6253a
| 843
|
py
|
Python
|
chill/examples/chill/testcases/lu.py
|
CompOpt4Apps/Artifact-DataDepSimplify
|
4fa1bf2bda2902fec50a54ee79ae405a554fc9f4
|
[
"MIT"
] | 5
|
2019-05-20T03:35:41.000Z
|
2021-09-16T22:22:13.000Z
|
chill/examples/chill/testcases/lu.py
|
CompOpt4Apps/Artifact-DataDepSimplify
|
4fa1bf2bda2902fec50a54ee79ae405a554fc9f4
|
[
"MIT"
] | null | null | null |
chill/examples/chill/testcases/lu.py
|
CompOpt4Apps/Artifact-DataDepSimplify
|
4fa1bf2bda2902fec50a54ee79ae405a554fc9f4
|
[
"MIT"
] | null | null | null |
# LAPACK optimization strategy for LU factorization.
from chill import *
source('lu.c')
procedure('lu')
loop(0)
TJ = 64
original()
tile(1, 3, TJ, 1)
split(1, 2, 'L1-L2>=2') #t2-t4>=2
permute(3, 2, [2,4,3]) # mini-LU
permute(1, 2, [3,4,2]) # other than mini-LU
split(1, 2, 'L2>=L1-1') # seperate MM by t4 >= t2-1
# now optimize for TRSM
TK1 = 256
TI1 = 256
TJ1 = 8
UI1 = 1
UJ1 = 1
tile(4, 2, TI1, 2)
split(4, 3, 'L5<=L2-1') #split t10 <= t4-1
tile(4, 5, TK1, 3)
tile(4, 5, TJ1, 4)
datacopy([[4,1]], 4, false, 1)
datacopy([[4,2]], 5)
unroll(4, 5, UI1)
unroll(4, 6, UJ1)
datacopy([[5,1]], 3, false, 1)
# now optimize for MM
TK2 = 256
TI2 = 256
TJ2 = 8
UI2 = 1
UJ2 = 1
tile(1, 4, TK2, 2)
tile(1, 3, TI2, 3)
tile(1, 5, TJ2, 4)
datacopy([[1,1]], 4, false, 1)
datacopy([[1,2]], 5)
unroll(1, 5, UI2)
unroll(1, 6, UJ2)
print_code()
| 17.204082
| 52
| 0.578885
|
8bb882a476b7069df7988169620b13ea93893010
| 2,204
|
py
|
Python
|
dj_vercereg/client/vercereg_client.py
|
davidath/dj-vercereg
|
d1ae1dba21cab93c759ecf79346bc60c2d88d7a8
|
[
"Apache-2.0"
] | null | null | null |
dj_vercereg/client/vercereg_client.py
|
davidath/dj-vercereg
|
d1ae1dba21cab93c759ecf79346bc60c2d88d7a8
|
[
"Apache-2.0"
] | null | null | null |
dj_vercereg/client/vercereg_client.py
|
davidath/dj-vercereg
|
d1ae1dba21cab93c759ecf79346bc60c2d88d7a8
|
[
"Apache-2.0"
] | 1
|
2022-03-14T13:33:19.000Z
|
2022-03-14T13:33:19.000Z
|
#!/usr/bin/env python
# Copyright 2014 The University of Edinburgh
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import sys
import os
import curses
import collections
import argparse
import datetime
import logging
logging.basicConfig()
logger = logging.getLogger('DJREG_CLIENT')
logger.setLevel(logging.INFO)
from vercereg_lib import VerceRegManager
if __name__ == '__main__':
main()
| 32.895522
| 169
| 0.720054
|
8bb96428aea103e57829628f8aba75da646487e4
| 6,803
|
py
|
Python
|
scripts/DailyJob/api_data_fetcher.py
|
SamFangshan/CZ2006CarPark
|
663b0370e7d2e0cbe4d0a7391656a731fc7dac52
|
[
"MIT"
] | 2
|
2020-02-26T03:28:02.000Z
|
2020-04-25T07:03:36.000Z
|
scripts/DailyJob/api_data_fetcher.py
|
SamFangshan/CZ2006CarPark
|
663b0370e7d2e0cbe4d0a7391656a731fc7dac52
|
[
"MIT"
] | null | null | null |
scripts/DailyJob/api_data_fetcher.py
|
SamFangshan/CZ2006CarPark
|
663b0370e7d2e0cbe4d0a7391656a731fc7dac52
|
[
"MIT"
] | null | null | null |
import json
import pandas as pd
import numpy as np
from urllib.request import Request, urlopen
from onemap_converter import OneMapConverter
| 58.646552
| 129
| 0.66456
|
8bba17146d82323f502dee13164e2dcf746f9322
| 4,108
|
py
|
Python
|
tests/push/test_sse.py
|
cfogg/python-client
|
40e6891c8240e6b2acd5df538e622e9f15de43d6
|
[
"Apache-2.0"
] | 13
|
2017-03-17T15:15:20.000Z
|
2022-03-14T22:24:10.000Z
|
tests/push/test_sse.py
|
cfogg/python-client
|
40e6891c8240e6b2acd5df538e622e9f15de43d6
|
[
"Apache-2.0"
] | 81
|
2017-01-12T23:06:48.000Z
|
2022-02-21T18:20:23.000Z
|
tests/push/test_sse.py
|
cfogg/python-client
|
40e6891c8240e6b2acd5df538e622e9f15de43d6
|
[
"Apache-2.0"
] | 14
|
2017-05-25T10:49:13.000Z
|
2021-12-27T16:39:20.000Z
|
"""SSEClient unit tests."""
import time
import threading
import pytest
from splitio.push.sse import SSEClient, SSEEvent
from tests.helpers.mockserver import SSEMockServer
| 31.844961
| 73
| 0.547955
|
8bbca367e9908a584ebeb0ff48984d79eb8c67ba
| 859
|
py
|
Python
|
api_updater.py
|
jpes707/quiz-api
|
18af31b9cdba8927e4e7a38e0bd3623e938cf7dc
|
[
"MIT"
] | null | null | null |
api_updater.py
|
jpes707/quiz-api
|
18af31b9cdba8927e4e7a38e0bd3623e938cf7dc
|
[
"MIT"
] | null | null | null |
api_updater.py
|
jpes707/quiz-api
|
18af31b9cdba8927e4e7a38e0bd3623e938cf7dc
|
[
"MIT"
] | null | null | null |
import os
from mongo_config import questions_collection, client
questions_collection.delete_many({}) # clears all questions in MongoDB
question_objects = []
lines = [line[:-1] for line in open(get_relative_path('trivia.txt'), 'r').readlines()] + ['']
for idx in range(0, len(lines), 6):
question = lines[idx]
correct_answer = lines[idx + 1]
wrong_answers = lines[idx + 2 : idx + 5]
choices = [correct_answer] + wrong_answers # not shuffled yet
question_object = {'question': question, 'correct_answer': correct_answer, 'choices': choices}
question_objects.append(question_object)
questions_collection.insert_many(question_objects) # puts all questions from txt file into MongoDB
client.close()
print('Questions updated!')
| 37.347826
| 99
| 0.733411
|
8bbcec0ab14f44786258536c11d18bbc453834f6
| 2,429
|
py
|
Python
|
util.py
|
AndreasWieg/PC-BIGAN
|
0738f9bf56bd30b43eb2db9765ce9bae25ca81f6
|
[
"MIT"
] | null | null | null |
util.py
|
AndreasWieg/PC-BIGAN
|
0738f9bf56bd30b43eb2db9765ce9bae25ca81f6
|
[
"MIT"
] | null | null | null |
util.py
|
AndreasWieg/PC-BIGAN
|
0738f9bf56bd30b43eb2db9765ce9bae25ca81f6
|
[
"MIT"
] | null | null | null |
import numpy as np
import random
from plyfile import PlyData, PlyElement
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
from pyntcloud import PyntCloud
import os
import sys
import re
| 37.369231
| 107
| 0.691231
|
8bbd00b53513bf84f5c58a5ce90fbc7b1806da00
| 7,474
|
py
|
Python
|
seq_to_seq.py
|
jlibovicky/char-nmt-two-step-decoder
|
3fa90c38556f23568f6b88eb98e4bc2193f3b744
|
[
"BSD-3-Clause"
] | null | null | null |
seq_to_seq.py
|
jlibovicky/char-nmt-two-step-decoder
|
3fa90c38556f23568f6b88eb98e4bc2193f3b744
|
[
"BSD-3-Clause"
] | null | null | null |
seq_to_seq.py
|
jlibovicky/char-nmt-two-step-decoder
|
3fa90c38556f23568f6b88eb98e4bc2193f3b744
|
[
"BSD-3-Clause"
] | null | null | null |
"""Encoder-decoder model."""
from typing import List, Tuple, Union
import torch
import torch.nn as nn
from encoder import Encoder, VanillaEncoder
from decoder import Decoder, VanillaDecoder
T = torch.Tensor
| 37.18408
| 77
| 0.596602
|
8bbe4c37ae3a9b71342799d82ae3b600239ac59b
| 2,638
|
py
|
Python
|
src/backends/example_mongodb/database.py
|
rartino/python-optimade-server
|
84457091c7ec0db52a7e034bb6a7cd4bcbdd4e57
|
[
"MIT"
] | null | null | null |
src/backends/example_mongodb/database.py
|
rartino/python-optimade-server
|
84457091c7ec0db52a7e034bb6a7cd4bcbdd4e57
|
[
"MIT"
] | null | null | null |
src/backends/example_mongodb/database.py
|
rartino/python-optimade-server
|
84457091c7ec0db52a7e034bb6a7cd4bcbdd4e57
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python
#
# Copyright 2019 Rickard Armiento
#
# This file is part of a Python candidate reference implementation of
# the optimade API [https://www.optimade.org/]
#
# Permission is hereby granted, free of charge, to any person
# obtaining a copy of this software and associated documentation files
# (the "Software"), to deal in the Software without restriction,
# including without limitation the rights to use, copy, modify, merge,
# publish, distribute, sublicense, and/or sell copies of the Software,
# and to permit persons to whom the Software is furnished to do so,
# subject to the following conditions:
#
# The above copyright notice and this permission notice shall be
# included in all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
# EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
# MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
# NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS
# BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN
# ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
# CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
# SOFTWARE.
import pymongo
import threading
| 35.173333
| 97
| 0.674375
|
8bbe4fd060a6878adde13a88356535b7bfb0e331
| 29,288
|
py
|
Python
|
tests/utils.py
|
Ouranosinc/cowbird
|
108195ca6abbd58fd75b180f6fa7d40eab0f8ea5
|
[
"MIT"
] | 1
|
2021-02-04T18:56:36.000Z
|
2021-02-04T18:56:36.000Z
|
tests/utils.py
|
Ouranosinc/cowbird
|
108195ca6abbd58fd75b180f6fa7d40eab0f8ea5
|
[
"MIT"
] | 12
|
2021-02-05T22:01:10.000Z
|
2022-03-09T14:23:10.000Z
|
tests/utils.py
|
Ouranosinc/cowbird
|
108195ca6abbd58fd75b180f6fa7d40eab0f8ea5
|
[
"MIT"
] | null | null | null |
import functools
import json as json_pkg # avoid conflict name with json argument employed for some function
import os
from distutils.version import LooseVersion
from typing import TYPE_CHECKING
from urllib.parse import urlparse
import mock
import requests
import requests.exceptions
from pyramid.httpexceptions import HTTPException
from pyramid.testing import DummyRequest
from pyramid.testing import setUp as PyramidSetUp
from webtest.app import AppError, TestApp # noqa
from webtest.response import TestResponse
from cowbird.app import get_app
from cowbird.constants import COWBIRD_ROOT, get_constant
from cowbird.services.service import Service
from cowbird.utils import (
CONTENT_TYPE_JSON,
USE_TEST_CELERY_APP_CFG,
SingletonMeta,
get_header,
get_settings_from_config_ini,
is_null,
null
)
# employ example INI config for tests where needed to ensure that configurations are valid
TEST_INI_FILE = os.path.join(COWBIRD_ROOT, "config/cowbird.example.ini")
TEST_CFG_FILE = os.path.join(COWBIRD_ROOT, "config/config.example.yml")
if TYPE_CHECKING:
# pylint: disable=W0611,unused-import
from typing import Any, Callable, Collection, Dict, Iterable, List, Optional, Type, Union
from pyramid.request import Request
from cowbird.typedefs import (
JSON,
AnyCookiesType,
AnyHeadersType,
AnyResponseType,
CookiesType,
HeadersType,
SettingsType
)
from cowbird.utils import NullType
# pylint: disable=C0103,invalid-name
TestAppOrUrlType = Union[str, TestApp]
AnyTestItemType = Union[TestAppOrUrlType, TestAppContainer]
def clear_services_instances():
# Remove the service instances initialized with test specific config
SingletonMeta._instances.clear() # pylint: disable=W0212
def config_setup_from_ini(config_ini_file_path):
settings = get_settings_from_config_ini(config_ini_file_path)
config = PyramidSetUp(settings=settings)
return config
def get_test_app(settings=None):
# type: (Optional[SettingsType]) -> TestApp
"""
Instantiate a local test application.
"""
config = config_setup_from_ini(TEST_INI_FILE)
config.registry.settings["cowbird.url"] = "http://localhost:80"
config.registry.settings["cowbird.ini_file_path"] = TEST_INI_FILE
config.registry.settings["cowbird.config_path"] = TEST_CFG_FILE
config.registry.settings["mongo_uri"] = "mongodb://{host}:{port}/{db_name}".format(
host=os.getenv("COWBIRD_TEST_DB_HOST", "127.0.0.1"),
port=os.getenv("COWBIRD_TEST_DB_PORT", "27017"),
db_name=os.getenv("COWBIRD_TEST_DB_NAME", "cowbird-test")
)
# For test, we want to use the real Celery app which is properly mocked
# By setting the internal setting USE_TEST_CELERY_APP_CFG to true, the pyramid celery app will not be used
config.registry.settings[USE_TEST_CELERY_APP_CFG] = True
if settings:
config.registry.settings.update(settings)
test_app = TestApp(get_app({}, **config.registry.settings))
return test_app
def get_app_or_url(test_item):
# type: (AnyTestItemType) -> TestAppOrUrlType
"""
Obtains the referenced test application, local application or remote URL from `Test Case` implementation.
"""
if isinstance(test_item, (TestApp, str)):
return test_item
test_app = getattr(test_item, "test_app", None)
if test_app and isinstance(test_app, TestApp):
return test_app
app_or_url = getattr(test_item, "app", None) or getattr(test_item, "url", None)
if not app_or_url:
raise ValueError("Invalid test class, application or URL could not be found.")
return app_or_url
def get_hostname(test_item):
# type: (AnyTestItemType) -> str
"""
Obtains stored hostname in the class implementation.
"""
app_or_url = get_app_or_url(test_item)
if isinstance(app_or_url, TestApp):
app_or_url = get_constant("COWBIRD_URL", app_or_url.app.registry)
return urlparse(app_or_url).hostname
def get_headers(app_or_url, header_dict):
# type: (TestAppOrUrlType, AnyHeadersType) -> HeadersType
"""
Obtains stored headers in the class implementation.
"""
if isinstance(app_or_url, TestApp):
return dict(header_dict.items()) # noqa
return header_dict
def get_response_content_types_list(response):
# type: (AnyResponseType) -> List[str]
"""
Obtains the specified response Content-Type header(s) without additional formatting parameters.
"""
content_types = []
known_types = ["application", "audio", "font", "example", "image", "message", "model", "multipart", "text", "video"]
for part in response.headers["Content-Type"].split(";"):
for sub_type in part.strip().split(","):
if "=" not in sub_type and sub_type.split("/")[0] in known_types:
content_types.append(sub_type)
return content_types
def get_json_body(response):
# type: (AnyResponseType) -> JSON
"""
Obtains the JSON payload of the response regardless of its class implementation.
"""
if isinstance(response, TestResponse):
return response.json
return response.json()
def json_msg(json_body, msg=null):
# type: (JSON, Optional[str]) -> str
"""
Generates a message string with formatted JSON body for display with easier readability.
"""
json_str = json_pkg.dumps(json_body, indent=4, ensure_ascii=False)
if msg is not null:
return "{}\n{}".format(msg, json_str)
return json_str
def mock_get_settings(test):
"""
Decorator to mock :func:`cowbird.utils.get_settings` to allow retrieval of settings from :class:`DummyRequest`.
.. warning::
Only apply on test methods (not on class TestCase) to ensure that :mod:`pytest` can collect them correctly.
"""
from cowbird.utils import get_settings as real_get_settings
return wrapped
def mock_request(request_path_query="", # type: str
method="GET", # type: str
params=None, # type: Optional[Dict[str, str]]
body="", # type: Union[str, JSON]
content_type=None, # type: Optional[str]
headers=None, # type: Optional[AnyHeadersType]
cookies=None, # type: Optional[AnyCookiesType]
settings=None, # type: SettingsType
): # type: (...) -> Request
"""
Generates a fake request with provided arguments.
Can be employed by functions that expect a request object as input to retrieve details such as body content, the
request path, or internal settings, but that no actual request needs to be accomplished.
"""
parts = request_path_query.split("?")
path = parts[0]
query = dict()
if len(parts) > 1 and parts[1]:
for part in parts[1].split("&"):
kv = part.split("=") # handle trailing keyword query arguments without values
if kv[0]: # handle invalid keyword missing
query[kv[0]] = kv[1] if len(kv) > 1 else None
elif params:
query = params
request = DummyRequest(path=path, params=query)
request.path_qs = request_path_query
request.method = method
request.content_type = content_type
request.headers = headers or {}
request.cookies = cookies or {}
request.matched_route = None # cornice method
if content_type:
request.headers["Content-Type"] = content_type
request.body = body
try:
if body:
# set missing DummyRequest.json attribute
request.json = json_pkg.loads(body) # type: ignore
except (TypeError, ValueError):
pass
request.registry.settings = settings or {}
return request # noqa # fake type of what is normally expected just to avoid many 'noqa'
def test_request(test_item, # type: AnyTestItemType
method, # type: str
path, # type: str
data=None, # type: Optional[Union[JSON, str]]
json=None, # type: Optional[Union[JSON, str]]
body=None, # type: Optional[Union[JSON, str]]
params=None, # type: Optional[Dict[str, str]]
timeout=10, # type: int
retries=3, # type: int
allow_redirects=True, # type: bool
content_type=None, # type: Optional[str]
headers=None, # type: Optional[HeadersType]
cookies=None, # type: Optional[CookiesType]
**kwargs # type: Any
): # type: (...) -> AnyResponseType
"""
Calls the request using either a :class:`webtest.TestApp` instance or :class:`requests.Request` from a string URL.
Keyword arguments :paramref:`json`, :paramref:`data` and :paramref:`body` are all looked for to obtain the data.
Header ``Content-Type`` is set with respect to explicit :paramref:`json` or via provided :paramref:`headers` when
available. Explicit :paramref:`content_type` can also be provided to override all of these.
Request cookies are set according to :paramref:`cookies`, or can be interpreted from ``Set-Cookie`` header.
.. warning::
When using :class:`TestApp`, some internal cookies can be stored from previous requests to retain the active
user. Make sure to provide new set of cookies (or logout user explicitly) if different session must be used,
otherwise they will be picked up automatically. For 'empty' cookies, provide an empty dictionary.
:param test_item: one of `BaseTestCase`, `webtest.TestApp` or remote server URL to call with `requests`
:param method: request method (GET, POST, PATCH, PUT, DELETE)
:param path: test path starting at base path that will be appended to the application's endpoint.
:param params: query parameters added to the request path.
:param json: explicit JSON body content to use as request body.
:param data: body content string to use as request body, can be JSON if matching ``Content-Type`` is identified.
:param body: alias to :paramref:`data`.
:param content_type:
Enforce specific content-type of provided data body. Otherwise, attempt to retrieve it from request headers.
Inferred JSON content-type when :paramref:`json` is employed, unless overridden explicitly.
:param headers: Set of headers to send the request. Header ``Content-Type`` is looked for if not overridden.
:param cookies: Cookies to provide to the request.
:param timeout: passed down to :mod:`requests` when using URL, otherwise ignored (unsupported).
:param retries: number of retry attempts in case the requested failed due to timeout (only when using URL).
:param allow_redirects:
Passed down to :mod:`requests` when using URL, handled manually for same behaviour when using :class:`TestApp`.
:param kwargs: any additional keywords that will be forwarded to the request call.
:return: response of the request
"""
method = method.upper()
status = kwargs.pop("status", None)
# obtain json body from any json/data/body kw and empty {} if not specified
# reapply with the expected webtest/requests method kw afterward
_body = json or data or body or {}
app_or_url = get_app_or_url(test_item)
if isinstance(app_or_url, TestApp):
# set 'cookies' handled by the 'TestApp' instance if not present or different
if cookies is not None:
cookies = dict(cookies) # convert tuple-list as needed
if not app_or_url.cookies or app_or_url.cookies != cookies:
app_or_url.cookies.update(cookies)
# obtain Content-Type header if specified to ensure it is properly applied
kwargs["content_type"] = content_type if content_type else get_header("Content-Type", headers)
# update path with query parameters since TestApp does not have an explicit argument when not using GET
if params:
path += "?" + "&".join("{!s}={!s}".format(k, v) for k, v in params.items() if v is not None)
kwargs.update({
"params": _body, # TestApp uses 'params' for the body during POST (these are not the query parameters)
"headers": dict(headers or {}), # adjust if none provided or specified as tuple list
})
# convert JSON body as required
if _body is not None and (json is not None or kwargs["content_type"] == CONTENT_TYPE_JSON):
kwargs["params"] = json_pkg.dumps(_body, cls=json_pkg.JSONEncoder)
kwargs["content_type"] = CONTENT_TYPE_JSON # enforce if only 'json' keyword provided
kwargs["headers"]["Content-Length"] = str(len(kwargs["params"])) # need to fix with override JSON payload
if status and status >= 300:
kwargs["expect_errors"] = True
err_code = None
err_msg = None
try:
resp = app_or_url._gen_request(method, path, **kwargs) # pylint: disable=W0212 # noqa: W0212
except AppError as exc:
err_code = exc
err_msg = str(exc)
except HTTPException as exc:
err_code = exc.status_code
err_msg = str(exc) + str(getattr(exc, "exception", ""))
except Exception as exc:
err_code = 500
err_msg = "Unknown: {!s}".format(exc)
finally:
if err_code:
info = json_msg({"path": path, "method": method, "body": _body, "headers": kwargs["headers"]})
result = "Request raised unexpected error: {!s}\nError: {}\nRequest:\n{}"
raise AssertionError(result.format(err_code, err_msg, info))
# automatically follow the redirect if any and evaluate its response
max_redirect = kwargs.get("max_redirects", 5)
while 300 <= resp.status_code < 400 and max_redirect > 0: # noqa
resp = resp.follow()
max_redirect -= 1
assert max_redirect >= 0, "Maximum follow redirects reached."
# test status accordingly if specified
assert resp.status_code == status or status is None, "Response not matching the expected status code."
return resp
kwargs.pop("expect_errors", None) # remove keyword specific to TestApp
content_type = get_header("Content-Type", headers)
if json or content_type == CONTENT_TYPE_JSON:
kwargs["json"] = _body
elif data or body:
kwargs["data"] = _body
url = "{url}{path}".format(url=app_or_url, path=path)
while True:
try:
return requests.request(method, url, params=params, headers=headers, cookies=cookies,
timeout=timeout, allow_redirects=allow_redirects, **kwargs)
except requests.exceptions.ReadTimeout:
if retries <= 0:
raise
retries -= 1
def check_all_equal(iter_val, iter_ref, msg=None, any_order=False):
# type: (Collection[Any], Union[Collection[Any], NullType], Optional[str], bool) -> None
"""
:param iter_val: tested values.
:param iter_ref: reference values.
:param msg: override message to display if failing test.
:param any_order: allow equal values to be provided in any order, otherwise order must match as well as values.
:raises AssertionError:
If all values in :paramref:`iter_val` are not equal to values within :paramref:`iter_ref`.
If :paramref:`any_order` is ``False``, also raises if equal items are not in the same order.
"""
r_val = repr(iter_val)
r_ref = repr(iter_ref)
assert all_equal(iter_val, iter_ref, any_order), format_test_val_ref(r_val, r_ref, pre="All Equal Fail", msg=msg)
def check_val_equal(val, ref, msg=None):
# type: (Any, Union[Any, NullType], Optional[str]) -> None
""":raises AssertionError: if :paramref:`val` is not equal to :paramref:`ref`."""
assert is_null(ref) or val == ref, format_test_val_ref(val, ref, pre="Equal Fail", msg=msg)
def check_val_not_equal(val, ref, msg=None):
# type: (Any, Union[Any, NullType], Optional[str]) -> None
""":raises AssertionError: if :paramref:`val` is equal to :paramref:`ref`."""
assert is_null(ref) or val != ref, format_test_val_ref(val, ref, pre="Not Equal Fail", msg=msg)
def check_val_is_in(val, ref, msg=None):
# type: (Any, Union[Any, NullType], Optional[str]) -> None
""":raises AssertionError: if :paramref:`val` is not in to :paramref:`ref`."""
assert is_null(ref) or val in ref, format_test_val_ref(val, ref, pre="Is In Fail", msg=msg)
def check_val_not_in(val, ref, msg=None):
# type: (Any, Union[Any, NullType], Optional[str]) -> None
""":raises AssertionError: if :paramref:`val` is in to :paramref:`ref`."""
assert is_null(ref) or val not in ref, format_test_val_ref(val, ref, pre="Not In Fail", msg=msg)
def check_val_type(val, ref, msg=None):
# type: (Any, Union[Type[Any], NullType, Iterable[Type[Any]]], Optional[str]) -> None
""":raises AssertionError: if :paramref:`val` is not an instanced of :paramref:`ref`."""
assert isinstance(val, ref), format_test_val_ref(val, repr(ref), pre="Type Fail", msg=msg)
def check_raises(func, exception_type, msg=None):
# type: (Callable[[], Any], Type[Exception], Optional[str]) -> Exception
"""
Calls the callable and verifies that the specific exception was raised.
:raise AssertionError: on failing exception check or missing raised exception.
:returns: raised exception of expected type if it was raised.
"""
msg = ": {}".format(msg) if msg else "."
try:
func()
except Exception as exc: # pylint: disable=W0703
msg = "Wrong exception [{!s}] raised instead of [{!s}]{}" \
.format(type(exc).__name__, exception_type.__name__, msg)
assert isinstance(exc, exception_type), msg
return exc
raise AssertionError("Exception [{!s}] was not raised{}".format(exception_type.__name__, msg))
def check_no_raise(func, msg=None):
# type: (Callable[[], Any], Optional[str]) -> Any
"""
Calls the callable and verifies that no exception was raised.
:raise AssertionError: on any raised exception.
"""
try:
return func()
except Exception as exc: # pylint: disable=W0703
msg = ": {}".format(msg) if msg else "."
raise AssertionError("Exception [{!r}] was raised when none is expected{}".format(type(exc).__name__, msg))
def check_response_basic_info(response, # type: AnyResponseType
expected_code=200, # type: int
expected_type=CONTENT_TYPE_JSON, # type: str
expected_method="GET", # type: str
extra_message=None, # type: Optional[str]
): # type: (...) -> Union[JSON, str]
"""
Validates basic `Cowbird` API response metadata. For UI pages, employ :func:`check_ui_response_basic_info` instead.
If the expected content-type is JSON, further validations are accomplished with specific metadata fields that are
always expected in the response body. Otherwise, minimal validation of basic fields that can be validated regardless
of content-type is done.
:param response: response to validate.
:param expected_code: status code to validate from the response.
:param expected_type: Content-Type to validate from the response.
:param expected_method: method 'GET', 'POST', etc. to validate from the response if an error.
:param extra_message: additional message to append to every specific test message if provided.
:return: json body of the response for convenience.
"""
check_val_is_in("Content-Type", dict(response.headers), msg=_("Response doesn't define 'Content-Type' header."))
content_types = get_response_content_types_list(response)
check_val_is_in(expected_type, content_types, msg=_("Response doesn't match expected HTTP Content-Type header."))
code_message = "Response doesn't match expected HTTP status code."
if expected_type == CONTENT_TYPE_JSON:
# provide more details about mismatching code since to help debug cause of error
code_message += "\nReason:\n{}".format(json_msg(get_json_body(response)))
check_val_equal(response.status_code, expected_code, msg=_(code_message))
if expected_type == CONTENT_TYPE_JSON:
body = get_json_body(response)
check_val_is_in("code", body, msg=_("Parameter 'code' should be in response JSON body."))
check_val_is_in("type", body, msg=_("Parameter 'type' should be in response JSON body."))
check_val_is_in("detail", body, msg=_("Parameter 'detail' should be in response JSON body."))
check_val_equal(body["code"], expected_code, msg=_("Parameter 'code' should match HTTP status code."))
check_val_equal(body["type"], expected_type, msg=_("Parameter 'type' should match HTTP Content-Type header."))
check_val_not_equal(body["detail"], "", msg=_("Parameter 'detail' should not be empty."))
else:
body = response.text
if response.status_code >= 400:
# error details available for any content-type, just in different format
check_val_is_in("url", body, msg=_("Request URL missing from contents,"))
check_val_is_in("path", body, msg=_("Request path missing from contents."))
check_val_is_in("method", body, msg=_("Request method missing from contents."))
if expected_type == CONTENT_TYPE_JSON: # explicitly check by dict-key if JSON
check_val_equal(body["method"], expected_method, msg=_("Request method not matching expected value."))
return body
def check_error_param_structure(body, # type: JSON
param_value=null, # type: Optional[Any]
param_name=null, # type: Optional[str]
param_compare=null, # type: Optional[Any]
is_param_value_literal_unicode=False, # type: bool
param_name_exists=False, # type: bool
param_compare_exists=False, # type: bool
): # type: (...) -> None
"""
Validates error response ``param`` information based on different Cowbird version formats.
:param body: JSON body of the response to validate.
:param param_value:
Expected 'value' of param the parameter.
Contained field value not verified if ``null``, only presence of the field.
:param param_name:
Expected 'name' of param. Ignored for older Cowbird version that did not provide this information.
Contained field value not verified if ``null`` and ``param_name_exists`` is ``True`` (only its presence).
If provided, automatically implies ``param_name_exists=True``. Skipped otherwise.
:param param_compare:
Expected 'compare'/'param_compare' value (filed name according to version)
Contained field value not verified if ``null`` and ``param_compare_exists`` is ``True`` (only its presence).
If provided, automatically implies ``param_compare_exists=True``. Skipped otherwise.
:param is_param_value_literal_unicode: param value is represented as `u'{paramValue}'` for older Cowbird version.
:param param_name_exists: verify that 'name' is in the body, not validating its value.
:param param_compare_exists: verify that 'compare'/'param_compare' is in the body, not validating its value.
:raises AssertionError: on any failing condition
"""
check_val_type(body, dict)
check_val_is_in("param", body)
check_val_type(body["param"], dict)
check_val_is_in("value", body["param"])
if param_name_exists or param_name is not null:
check_val_is_in("name", body["param"])
if param_name is not null:
check_val_equal(body["param"]["name"], param_name)
if param_value is not null:
check_val_equal(body["param"]["value"], param_value)
if param_compare_exists or param_compare is not null:
check_val_is_in("compare", body["param"])
if param_compare is not null:
check_val_equal(body["param"]["compare"], param_compare)
| 44.042105
| 120
| 0.651974
|
8bc1dc764cc3286fa9cb0c9dbac2a3360dc97788
| 764
|
py
|
Python
|
sqds/jobs/update_guilds.py
|
abey79/sqds
|
acab1d9c6d4a010fff9d8e89a5fdd9d94def7c89
|
[
"MIT"
] | null | null | null |
sqds/jobs/update_guilds.py
|
abey79/sqds
|
acab1d9c6d4a010fff9d8e89a5fdd9d94def7c89
|
[
"MIT"
] | null | null | null |
sqds/jobs/update_guilds.py
|
abey79/sqds
|
acab1d9c6d4a010fff9d8e89a5fdd9d94def7c89
|
[
"MIT"
] | null | null | null |
from django.utils import timezone
from django_extensions.management.jobs import BaseJob
from ..models import Player, Guild
| 27.285714
| 70
| 0.704188
|
8bc3ea498abafb408b2345871e2adf30ac6a71a4
| 1,907
|
py
|
Python
|
src/saleor_app/install.py
|
przlada/saleor-app-framework-python
|
3a561c93bf586b4210e7b3c4d2db3408046a9599
|
[
"BSD-3-Clause"
] | 20
|
2021-05-18T18:05:25.000Z
|
2022-03-02T00:39:15.000Z
|
src/saleor_app/install.py
|
przlada/saleor-app-framework-python
|
3a561c93bf586b4210e7b3c4d2db3408046a9599
|
[
"BSD-3-Clause"
] | 13
|
2021-10-19T19:05:24.000Z
|
2022-03-22T13:17:55.000Z
|
src/saleor_app/install.py
|
przlada/saleor-app-framework-python
|
3a561c93bf586b4210e7b3c4d2db3408046a9599
|
[
"BSD-3-Clause"
] | 11
|
2021-06-09T21:24:56.000Z
|
2022-03-12T17:33:30.000Z
|
import logging
import secrets
import string
from typing import Awaitable, Callable, List
from saleor_app.conf import get_settings
from saleor_app.errors import InstallAppError
from saleor_app.graphql import GraphQLError, get_executor, get_saleor_api_url
from saleor_app.mutations import CREATE_WEBHOOK
from saleor_app.schemas.core import AppToken, DomainName, Url, WebhookData
logger = logging.getLogger(__name__)
| 31.783333
| 80
| 0.678553
|
8bc41c33e45aca9a963dba5e594b74e5dcb92d03
| 64,465
|
py
|
Python
|
sdk/python/pulumi_aws/fsx/open_zfs_file_system.py
|
chivandikwa/pulumi-aws
|
19c08bf9dcb90544450ffa4eec7bf6751058fde2
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_aws/fsx/open_zfs_file_system.py
|
chivandikwa/pulumi-aws
|
19c08bf9dcb90544450ffa4eec7bf6751058fde2
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
sdk/python/pulumi_aws/fsx/open_zfs_file_system.py
|
chivandikwa/pulumi-aws
|
19c08bf9dcb90544450ffa4eec7bf6751058fde2
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
from ._inputs import *
__all__ = ['OpenZfsFileSystemArgs', 'OpenZfsFileSystem']
class OpenZfsFileSystem(pulumi.CustomResource):
def __init__(__self__, resource_name: str, *args, **kwargs):
resource_args, opts = _utilities.get_resource_args_opts(OpenZfsFileSystemArgs, pulumi.ResourceOptions, *args, **kwargs)
if resource_args is not None:
__self__._internal_init(resource_name, opts, **resource_args.__dict__)
else:
__self__._internal_init(resource_name, *args, **kwargs)
def _internal_init(__self__,
resource_name: str,
opts: Optional[pulumi.ResourceOptions] = None,
automatic_backup_retention_days: Optional[pulumi.Input[int]] = None,
backup_id: Optional[pulumi.Input[str]] = None,
copy_tags_to_backups: Optional[pulumi.Input[bool]] = None,
copy_tags_to_volumes: Optional[pulumi.Input[bool]] = None,
daily_automatic_backup_start_time: Optional[pulumi.Input[str]] = None,
deployment_type: Optional[pulumi.Input[str]] = None,
disk_iops_configuration: Optional[pulumi.Input[pulumi.InputType['OpenZfsFileSystemDiskIopsConfigurationArgs']]] = None,
kms_key_id: Optional[pulumi.Input[str]] = None,
root_volume_configuration: Optional[pulumi.Input[pulumi.InputType['OpenZfsFileSystemRootVolumeConfigurationArgs']]] = None,
security_group_ids: Optional[pulumi.Input[Sequence[pulumi.Input[str]]]] = None,
storage_capacity: Optional[pulumi.Input[int]] = None,
storage_type: Optional[pulumi.Input[str]] = None,
subnet_ids: Optional[pulumi.Input[str]] = None,
tags: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
tags_all: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None,
throughput_capacity: Optional[pulumi.Input[int]] = None,
weekly_maintenance_start_time: Optional[pulumi.Input[str]] = None,
__props__=None):
if opts is None:
opts = pulumi.ResourceOptions()
if not isinstance(opts, pulumi.ResourceOptions):
raise TypeError('Expected resource options to be a ResourceOptions instance')
if opts.version is None:
opts.version = _utilities.get_version()
if opts.id is None:
if __props__ is not None:
raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource')
__props__ = OpenZfsFileSystemArgs.__new__(OpenZfsFileSystemArgs)
__props__.__dict__["automatic_backup_retention_days"] = automatic_backup_retention_days
__props__.__dict__["backup_id"] = backup_id
__props__.__dict__["copy_tags_to_backups"] = copy_tags_to_backups
__props__.__dict__["copy_tags_to_volumes"] = copy_tags_to_volumes
__props__.__dict__["daily_automatic_backup_start_time"] = daily_automatic_backup_start_time
if deployment_type is None and not opts.urn:
raise TypeError("Missing required property 'deployment_type'")
__props__.__dict__["deployment_type"] = deployment_type
__props__.__dict__["disk_iops_configuration"] = disk_iops_configuration
__props__.__dict__["kms_key_id"] = kms_key_id
__props__.__dict__["root_volume_configuration"] = root_volume_configuration
__props__.__dict__["security_group_ids"] = security_group_ids
__props__.__dict__["storage_capacity"] = storage_capacity
__props__.__dict__["storage_type"] = storage_type
if subnet_ids is None and not opts.urn:
raise TypeError("Missing required property 'subnet_ids'")
__props__.__dict__["subnet_ids"] = subnet_ids
__props__.__dict__["tags"] = tags
__props__.__dict__["tags_all"] = tags_all
if throughput_capacity is None and not opts.urn:
raise TypeError("Missing required property 'throughput_capacity'")
__props__.__dict__["throughput_capacity"] = throughput_capacity
__props__.__dict__["weekly_maintenance_start_time"] = weekly_maintenance_start_time
__props__.__dict__["arn"] = None
__props__.__dict__["dns_name"] = None
__props__.__dict__["network_interface_ids"] = None
__props__.__dict__["owner_id"] = None
__props__.__dict__["root_volume_id"] = None
__props__.__dict__["vpc_id"] = None
super(OpenZfsFileSystem, __self__).__init__(
'aws:fsx/openZfsFileSystem:OpenZfsFileSystem',
resource_name,
__props__,
opts)
| 56.30131
| 550
| 0.694982
|
8bc5033e6745dd8bddb7a355569fc61f7cd99932
| 1,410
|
py
|
Python
|
tools/other/syn.py
|
fengjixuchui/geospy
|
12ff83372a7e128babd8f16c357672d1495022c8
|
[
"MIT"
] | 1
|
2019-11-12T05:53:25.000Z
|
2019-11-12T05:53:25.000Z
|
tools/other/syn.py
|
fengjixuchui/geospy
|
12ff83372a7e128babd8f16c357672d1495022c8
|
[
"MIT"
] | null | null | null |
tools/other/syn.py
|
fengjixuchui/geospy
|
12ff83372a7e128babd8f16c357672d1495022c8
|
[
"MIT"
] | null | null | null |
#!/usr/bin/env python3
import random
import time
from scapy.all import IP, TCP, send
from threading import Thread
# Import modules for SYN flood
import tools.randomData as randomData
| 23.114754
| 78
| 0.668085
|
8bc5c14508eaa101207214cbf9fa6cdfc7a9bf62
| 19,405
|
py
|
Python
|
NIQ_uncompiled/source_code/check_valid.py
|
wxhawkins/NestIQ
|
3a004d330e2c68b0c7eb0b0676bc4d044e52cbe4
|
[
"Apache-2.0"
] | null | null | null |
NIQ_uncompiled/source_code/check_valid.py
|
wxhawkins/NestIQ
|
3a004d330e2c68b0c7eb0b0676bc4d044e52cbe4
|
[
"Apache-2.0"
] | null | null | null |
NIQ_uncompiled/source_code/check_valid.py
|
wxhawkins/NestIQ
|
3a004d330e2c68b0c7eb0b0676bc4d044e52cbe4
|
[
"Apache-2.0"
] | null | null | null |
import time
import datetime as dt
from pathlib import Path
from tkinter import messagebox
import re
import niq_misc
import math
import traceback
from niq_misc import replace_entry
def check_valid_vertex_file(gui):
"""
Checks user-provided vertex selection file (HTML) for issues that could cause errors with
downstream processes.
Returns:
True if file passes all tests, else displays error message and returns False
"""
niq_misc.remove_curly(gui.vertex_file_E)
vertex_path = Path(gui.vertex_file_E.get())
# Check if path is empty
if vertex_path.name == "":
messagebox.showerror("Vertex File Error", "Please provide a vertex file.")
return False
# Check if path has invalid path
if vertex_path.suffix not in (".html", ""):
messagebox.showerror("Vertex Selection Error", r'Vertex selection file must have ".html" extension.')
return False
# Check if path exists
if not vertex_path.exists():
messagebox.showerror("Vertex Selection Error", "Provided vertex selection file not found.")
return False
with open(vertex_path, "r") as original_file:
original_lines = original_file.readlines()
# Remove extra table data lines if present
cleaned_content = str()
found = False
for line in original_lines:
if "<div class" in line:
found = True
if found:
cleaned_content += line
# Get datapoints
tokens = re.finditer(r">([\d\.-]+)</span>", cleaned_content)
token_num = 0
try:
# Every other value in tokens will be temperature and so is ignored
for counter, match in enumerate(tokens):
token_num = counter
if not (counter % 2) == 0:
round(float(match.group(1)))
except:
messagebox.showerror(("Vertex File Error"), "Vertex file is unreadable. Please try another.")
return False
if token_num < 2:
messagebox.showerror(
"Vertex File Error",
"No vertices detected in vertex file.\n\n" +
'When saving plots, ensure the file type option is set to \"Webpage, Complete\" not \"Webpage, HTML only\".'
)
return False
return True
def check_valid_main(gui, first_in=True, check_output=True):
"""
Checks for valid configuration of all parameters housed on the Main tab. This includes extensive
review of the input file provided.
Args:
first_in (bool): False if current file is second or later in a queue of multiple input files
check_output (bool): if False, output file names are not examined
"""
def check_input_file(gui):
"""
Checks several aspects of the input file to ensure it is compatable with all downstream processing.
Also displays warnings for less severe format violations.
"""
def check_datetime_intervals():
""" Sets time interval between temperature readings and checks for gaps in date/time column. """
delta_secs = (datetimes[-1] - datetimes[0]).total_seconds()
interval = dt.timedelta(seconds=round(delta_secs / len(master_list)))
if not gui.show_warns_BV.get():
return True
# If interval is greater than or equal to one minute
if interval.seconds >= 60:
i = 1
while i < len(datetimes):
if datetimes[i - 1] + interval != datetimes[i]:
messagebox.showwarning(
"Date/time Warning",
f"{file_name_appendage}Discontinuous date/time found for data point {master_list[i][0]}." +
"The run will continue, but this could cause inaccurate statistical output.",
)
i += 1
return True
# If interval is less than one minute
# Identify first change in date/time
i = 0
while datetimes[i] == datetimes[0]:
i += 1
# Find least common denominator with one minute
LCD = abs(interval.seconds*60) // math.gcd(interval.seconds, 60)
dp_leap = int(LCD / interval.seconds) # There should be a whole number minute change after this many data points
min_leap = dt.timedelta(minutes=int(LCD / 60)) # That whole number of minutes is this
i += dp_leap
while i < len(datetimes):
if datetimes[i - dp_leap] + min_leap != datetimes[i]:
messagebox.showwarning(
"Date/time Warning",
f"{file_name_appendage}Discontinuous date/time found for data point {master_list[i][0]}." +
"The run will continue, but this could cause inaccurate statistical output.",
)
i += dp_leap
return True
in_file_path = gui.active_input_path
file_name_appendage = f"For file: {in_file_path.name} \n\n"
datetimes = []
if in_file_path.name == "":
messagebox.showerror("Input error (Main tab)", "No input file provided.")
return False
if not in_file_path.exists():
messagebox.showerror("Input File Error", "".join((file_name_appendage, "File with provided path could not be found.")))
return False
if in_file_path.suffix not in (".csv", ".html"):
messagebox.showerror("Input File Error", f'{file_name_appendage} Input file must have "csv" or "html" extension.')
return False
try:
# In the case of an HTML input, simply check for the presence of input file data
if in_file_path.suffix == ".html":
with open(in_file_path, "r") as f:
content = f.read()
if "NestIQ input data" in content:
return True
else:
messagebox.showerror("Input File Error", f'{file_name_appendage} HTML file does not contain the necessary information for processing.')
return False
with open(in_file_path, "r") as f:
lines = f.readlines()
master_list = [line.strip().rstrip(",").split(",") for line in lines]
pop_indices = []
# Remove lines not conforming to expected format (such as headers)
for i in range(len(master_list[:-1])):
# Cells in data point column must contain only numbers
if not str(master_list[i][0]).isnumeric():
pop_indices.append(i)
for pop_count, index in enumerate(pop_indices):
master_list.pop(index - pop_count)
master_list.pop(len(master_list) - 1)
prev_line = master_list[0]
if len(prev_line) < 3:
gui.air_valid = False
for line in master_list[1:]:
line = line[:4] if gui.air_valid else line[:3]
# Check if data points are continuous and sequential
try:
if not int(line[0]) == (int(prev_line[0]) + 1):
raise ValueError
except:
messagebox.showerror(
"Data Point Error",
f"{file_name_appendage}Error after data point "
+ f"{prev_line[0]}. Data point number is not sequential with regard to previous data point.",
)
return False
# Test conversion of date/time string to datetime object
try:
datetimes.append(niq_misc.convert_to_datetime(line[1]))
except ValueError:
messagebox.showerror(
"Date/Time Error", f"{file_name_appendage}Invalid date/time found for data point {line[0]}. Date/Time should be in MM/DD/YYYY HH:MM (:SS) format."
)
return False
# Check egg temperatures column
try:
float(line[2])
except:
messagebox.showerror("Temperature Error", f"{file_name_appendage}Invalid temperature given for data point {line[0]}.")
return False
# Check air temperatures column if appropriate
if gui.air_valid:
try:
float(line[3])
except (IndexError, ValueError):
gui.air_valid = False
if gui.show_warns_BV.get():
messagebox.showwarning(
"Air Temperature Warning",
f"{file_name_appendage}Invalid air temperature detected for data point "
+ f"{line[0]}. Air temperatures will not be plotted or included in statistical output.",
)
prev_line = line
# Lastly, check if date/times are continuous
return check_datetime_intervals()
except Exception as e:
print(e)
traceback.print_exc()
messagebox.showerror(
"Unknown Error",
f"{file_name_appendage}There was an unidentifiable error with the provided input file. "
+ "This is sometimes the result of 'extra' cells in the input file.\n\n"
+ "Please reference the NestIQ manual for details regarding proper input file format."
+ " This can be accessed by clicking 'Help' in the top right.",
)
return False
def check_out_file(gui, entry, title):
"""
Checks if the name provided for a given output file is valid. This includes asking the user if
they want to override if a file with the same name already exists.
Args:
entry (tk.Entry): entry box being examined
title (string): how to reference the current entry box if error messeage is triggered
"""
if entry.get() == "":
messagebox.showerror(f"{title} Error", "File name is empty.")
return False
entry_path = Path(entry.get())
if entry_path.is_dir():
messagebox.showerror(f"{title} Error", "Directory provided but no file name.")
return False
# Add extension if not present
if entry == gui.plot_file_E:
ext = ".html"
elif entry == gui.stats_file_E or entry == gui.multi_in_stats_file_E:
ext = ".csv"
entry_path = Path(entry.get()).with_suffix(ext)
# Default to "output_files" directory if only filename (no dir) provided
if str(entry_path.parent) == ".":
entry_path = gui.master_dir_path / "output_files" / entry_path
replace_entry(entry, str(entry_path))
# Check if plot file already exists and if so, ask to override
if entry_path.exists():
if gui.show_warns_BV.get():
if not messagebox.askyesno("Override?", f"The file '{entry.get()}' already exists. Do you want to override?"):
return False
try:
entry_path.unlink()
except PermissionError:
messagebox.showerror(f"{title} Error", "File could not be overridden. Please ensure files are closed before overriding.")
return False
return True
# Check time entry boxes
for time_str in (gui.day_start_E.get(), gui.night_start_E.get()):
try:
time.strptime(time_str, "%H:%M")
except ValueError:
messagebox.showerror("Daytime Start/End Error", f"Provided value of {time_str} is invalid. Please provide times in 24 hr HH:MM (:SS) format.")
return False
# Check data smoothing box
try:
if not float(gui.smoothing_radius_E.get()).is_integer():
raise ValueError
if int(gui.smoothing_radius_E.get()) < 0:
messagebox.showerror("Data Smoothing Radius Error", "Data smoothing radius must be greater than or equal to zero.")
return False
except ValueError:
messagebox.showerror("Data Smoothing Radius Error", "Data smoothing radius must be an integer.")
return False
# Check duration threshold box
try:
if int(float(gui.dur_thresh_E.get())) < 0:
messagebox.showerror("Duration Threshold Error", "Duration threshold cannot be less than zero.")
return False
except ValueError:
messagebox.showerror("Duration Threshold Error", "Invalid duration threshold (could not convert to integer).")
return False
if not check_input_file(gui):
return False
if check_output:
if gui.make_plot_BV.get():
if not check_out_file(gui, gui.plot_file_E, "Plot File"):
return False
if gui.get_stats_BV.get():
if not check_out_file(gui, gui.stats_file_E, "Stats Output File"):
return False
if gui.multi_in_stats_BV.get() and first_in:
if not check_out_file(gui, gui.multi_in_stats_file_E, "Compile Summary"):
return False
return True
def check_valid_adv(gui):
"""
Checks for valid configuration of all parameters housed on the Advanced tab.
"""
def try_autofill():
"""
Checks if all Markov model parameter boxes are empty and runs unsupervised learning if so.
"""
for entry in (
gui.init_off_E,
gui.init_on_E,
gui.off_off_trans_E,
gui.off_on_trans_E,
gui.on_on_trans_E,
gui.on_off_trans_E,
gui.off_mean_E,
gui.on_mean_E,
gui.off_stdev_E,
gui.on_stdev_E,
):
if entry.get() != "":
return False
gui.unsupervised_learning(auto_run=True)
return True
try:
entries = (gui.init_off_E, gui.init_on_E, gui.off_off_trans_E, gui.off_on_trans_E, gui.on_on_trans_E, gui.on_off_trans_E)
for entry in entries:
if float(entry.get()) < 0:
raise ValueError("Probability less than 0 provided.")
except ValueError:
if try_autofill():
return True
messagebox.showerror("Parameter Error (Advanced tab)", "Probabilities must be real numbers greater than 0.")
return False
try:
(float(mean) for mean in (gui.off_mean_E.get(), gui.on_mean_E.get()))
except TypeError:
messagebox.showerror("Parameter Error (Advanced tab)", "Means must be real numbers.")
return False
try:
for stdev in (gui.off_stdev_E.get(), gui.on_stdev_E.get()):
if float(stdev) <= 0:
raise ValueError("Standard deviation less than 0 provided.")
except:
messagebox.showerror("Parameter Error (Advanced tab)", "Standard deviations must be real numbers greater than 0.")
return False
return True
def check_valid_plot_ops(gui):
"""
Checks for valid configuration of all parameters housed on the Plot Options tab.
"""
# Check plot dimensions
if gui.manual_plot_dims.get():
valid = True
try:
if int(gui.plot_dim_x_E.get()) < 1 or int(gui.plot_dim_y_E.get()) < 1:
valid = False
except:
valid = False
if not valid:
messagebox.showwarning(
"Plot Dimensions Warning",
("Provided plot dimensions are not valid; please provide positive integers. Automatic resolution detection will be used."),
)
gui.manual_plot_dims.set(0)
try:
if float(gui.title_font_size_E.get()) < 0:
raise ValueError("Provided plot title font size is less than 0")
except ValueError:
messagebox.showerror("Plot title Font Size Error (Plot Options tab)", "Invalid plot title font size was provided.")
return False
try:
if float(gui.axis_title_font_size_E.get()) < 0:
raise ValueError("Provided axis title font size is less than 0")
except ValueError:
messagebox.showerror("Axis Title Font Size Error (Plot Options tab)", "Invalid axis title font size was provided.")
return False
try:
if float(gui.axis_label_font_size_E.get()) < 0:
raise ValueError("Provided axis label font size is less than 0")
except ValueError:
messagebox.showerror("Axis Label Font Size Error (Plot Options tab)", "Invalid axis label font size was provided.")
return False
try:
if int(gui.axis_tick_size_E.get()) < 0:
raise ValueError("Provided axis tick size is less than 0")
except ValueError:
messagebox.showerror("Axis Tick Size Error (Plot Options tab)", "Invalid axis tick size was provided.")
return False
try:
if float(gui.legend_font_size_E.get()) < 0:
raise ValueError("Provided legend font size is less than 0")
except ValueError:
messagebox.showerror("Legend Font Size Error (Plot Options tab)", "Invalid legend font size was provided.")
return False
# Check plot element sizes/widths
try:
if float(gui.on_point_size_E.get()) < 0:
raise ValueError("Provided on-bout point size is less than 0")
except ValueError:
messagebox.showerror("Point Size Error (Plot Options tab)", "Invalid on-bout point size was provided.")
return False
try:
if float(gui.bout_line_width_E.get()) < 0:
raise ValueError("Provided bout line width is less than 0")
except ValueError:
messagebox.showerror("Line Width Error (Plot Options tab)", "Invalid bout line width was provided.")
return False
try:
if float(gui.air_line_width_E.get()) < 0:
raise ValueError("Provided air line width is less than 0")
except ValueError:
messagebox.showerror("Line Width Error (Plot Options tab)", "Invalid air temperature line width was provided.")
return False
if gui.show_day_markers_BV.get():
try:
if float(gui.day_marker_width_E.get()) < 0:
raise ValueError("Provided day marker size is less than 0")
except ValueError:
messagebox.showerror("Day Marker Size Error (Plot Options tab)", "Invalid day marker size was provided.")
return False
return True
def check_valid_stat_ops(gui):
"""
Checks for valid configuration of all parameters housed on the Stat Options tab.
"""
try:
float(gui.time_above_temper_E.get())
except:
messagebox.showerror("Custom Temperature Error (Stat Options tab)", 'Invalid "Time above" temperature.')
return False
try:
float(gui.time_below_temper_E.get())
except:
messagebox.showerror("Custom Temperature Error (Stat Options tab)", 'Invalid "Time below" temperature.')
return False
return True
| 38.198819
| 171
| 0.588199
|
8bca7c3ef84914924b0c15217d9b07d51210a502
| 395
|
py
|
Python
|
xrobot_launcher.py
|
martinRenou/xeus-robot-wheel
|
e14034c9e7c15417b9b125d3b03f660606df0b4e
|
[
"BSD-3-Clause"
] | null | null | null |
xrobot_launcher.py
|
martinRenou/xeus-robot-wheel
|
e14034c9e7c15417b9b125d3b03f660606df0b4e
|
[
"BSD-3-Clause"
] | null | null | null |
xrobot_launcher.py
|
martinRenou/xeus-robot-wheel
|
e14034c9e7c15417b9b125d3b03f660606df0b4e
|
[
"BSD-3-Clause"
] | null | null | null |
if __name__ == '__main__':
from xrobot import launch as _xrobot_launch
_xrobot_launch(_xrobot_get_connection_filename() or '')
| 35.909091
| 76
| 0.701266
|
8bcfdd9c7b143588acd04d3d0910371718e911e3
| 2,977
|
py
|
Python
|
amodem/sampling.py
|
Matthew-MK/amodem
|
a75dda9ab0f7445589a036357e604703ccb34726
|
[
"MIT"
] | 766
|
2015-01-14T15:48:07.000Z
|
2022-03-30T01:19:48.000Z
|
amodem/sampling.py
|
Matthew-MK/amodem
|
a75dda9ab0f7445589a036357e604703ccb34726
|
[
"MIT"
] | 42
|
2015-01-02T18:50:11.000Z
|
2022-03-11T19:10:35.000Z
|
amodem/sampling.py
|
Matthew-MK/amodem
|
a75dda9ab0f7445589a036357e604703ccb34726
|
[
"MIT"
] | 116
|
2015-01-14T20:43:52.000Z
|
2022-03-24T13:10:30.000Z
|
import itertools
import numpy as np
from . import common
defaultInterpolator = Interpolator()
| 32.010753
| 75
| 0.555929
|
8bcfe7bd84165cc2d8ec0ab76054e252d5ad9337
| 2,913
|
py
|
Python
|
rando/core/models.py
|
camillemonchicourt/Geotrek-rando
|
df92c0f19ca37ea1750d934cedafcdb23325bc95
|
[
"BSD-2-Clause"
] | null | null | null |
rando/core/models.py
|
camillemonchicourt/Geotrek-rando
|
df92c0f19ca37ea1750d934cedafcdb23325bc95
|
[
"BSD-2-Clause"
] | null | null | null |
rando/core/models.py
|
camillemonchicourt/Geotrek-rando
|
df92c0f19ca37ea1750d934cedafcdb23325bc95
|
[
"BSD-2-Clause"
] | null | null | null |
import os
import json
import datetime
from easydict import EasyDict as edict
from django.conf import settings
from rando import logger
from rando.core import classproperty
class GeoJSONManager(JSONManager):
class JSONModel(object):
filepath = None
manager_class = JSONManager
_default_manager = objects
class GeoJSONModel(JSONModel):
manager_class = GeoJSONManager
| 27.481132
| 93
| 0.632338
|
8bd1ed48c83c831815502fd8f24e3c648f5c81ee
| 3,741
|
py
|
Python
|
libs/dungeon.py
|
IdeaBot/explorer
|
2cd02cacb2a37f3da3308e79e88f8c26f4401b8e
|
[
"MIT"
] | null | null | null |
libs/dungeon.py
|
IdeaBot/explorer
|
2cd02cacb2a37f3da3308e79e88f8c26f4401b8e
|
[
"MIT"
] | null | null | null |
libs/dungeon.py
|
IdeaBot/explorer
|
2cd02cacb2a37f3da3308e79e88f8c26f4401b8e
|
[
"MIT"
] | null | null | null |
'''
Dungeon object class
created 2019-03-19 by NGnius '''
# import math
import random
DEFAULT_SIZE = 16
WIDTH = 42
ANIMATION_CHAR = '*'
BLANK_CHAR = '.'
PORTAL_CHAR = '0'
| 35.971154
| 159
| 0.555199
|
8bd259e0e2d2b9af5c910c05de23636129ffb891
| 113
|
py
|
Python
|
01_Language/01_Functions/python/fflush.py
|
cliff363825/TwentyFour
|
09df59bd5d275e66463e343647f46027397d1233
|
[
"MIT"
] | 3
|
2020-06-28T07:42:51.000Z
|
2021-01-15T10:32:11.000Z
|
01_Language/01_Functions/python/fflush.py
|
cliff363825/TwentyFour
|
09df59bd5d275e66463e343647f46027397d1233
|
[
"MIT"
] | 9
|
2021-03-10T22:45:40.000Z
|
2022-02-27T06:53:20.000Z
|
01_Language/01_Functions/python/fflush.py
|
cliff363825/TwentyFour
|
09df59bd5d275e66463e343647f46027397d1233
|
[
"MIT"
] | 1
|
2021-01-15T10:51:24.000Z
|
2021-01-15T10:51:24.000Z
|
# coding: utf-8
f = open("test.txt", mode="r+")
f.write("hello world")
f.flush()
f.truncate(f.tell())
f.close()
| 14.125
| 31
| 0.610619
|
8bd2af77c54189a911eb6a57a33e86e0c8005dbd
| 10,917
|
py
|
Python
|
scrapyproject/showingspiders/toho_v2.py
|
gas1121/JapanCinemaStatusSpider
|
67c7b963914565589f64dd1bcf18839a4160ea34
|
[
"MIT"
] | 2
|
2018-06-07T13:28:03.000Z
|
2018-12-10T14:04:53.000Z
|
scrapyproject/showingspiders/toho_v2.py
|
gas1121/JapanCinemaStatusSpider
|
67c7b963914565589f64dd1bcf18839a4160ea34
|
[
"MIT"
] | null | null | null |
scrapyproject/showingspiders/toho_v2.py
|
gas1121/JapanCinemaStatusSpider
|
67c7b963914565589f64dd1bcf18839a4160ea34
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
import unicodedata
import json
import arrow
import scrapy
from scrapyproject.showingspiders.showing_spider import ShowingSpider
from scrapyproject.items import (ShowingLoader, init_show_booking_loader)
from scrapyproject.utils import TohoUtil
| 45.298755
| 79
| 0.646973
|
8bd49f53da7caa09d61a988bf0e05ae48ef80b17
| 947
|
py
|
Python
|
tasks.py
|
ggrbill/fortran-examples
|
a790462fa3956a65505d4f529556f81cd5b0de95
|
[
"MIT"
] | null | null | null |
tasks.py
|
ggrbill/fortran-examples
|
a790462fa3956a65505d4f529556f81cd5b0de95
|
[
"MIT"
] | null | null | null |
tasks.py
|
ggrbill/fortran-examples
|
a790462fa3956a65505d4f529556f81cd5b0de95
|
[
"MIT"
] | null | null | null |
from invoke import task
| 18.211538
| 74
| 0.583949
|
8bd4b1d2130b763d822163e0d5fcb7c191a3f224
| 203
|
py
|
Python
|
aristotle_json_editor/apps.py
|
aristotle-mdr/json-metadata-editor
|
2d97bea85c822d2e7b59fc8d96ca3eaa3b1ed916
|
[
"MIT"
] | null | null | null |
aristotle_json_editor/apps.py
|
aristotle-mdr/json-metadata-editor
|
2d97bea85c822d2e7b59fc8d96ca3eaa3b1ed916
|
[
"MIT"
] | 1
|
2017-07-25T09:44:11.000Z
|
2017-07-25T09:44:11.000Z
|
aristotle_json_editor/apps.py
|
aristotle-mdr/json-metadata-editor
|
2d97bea85c822d2e7b59fc8d96ca3eaa3b1ed916
|
[
"MIT"
] | null | null | null |
from aristotle_mdr.apps import AristotleExtensionBaseConfig
| 29
| 62
| 0.832512
|
8bd58dcecb3710fe85f09d22baab6422be4f4f1c
| 323
|
py
|
Python
|
fairlearn/reductions/_exponentiated_gradient/__init__.py
|
arita37/fairlearn
|
8f2cb25ca6a0c0aadcff90b927936de6d53ff5fa
|
[
"MIT"
] | 2
|
2019-11-30T09:02:42.000Z
|
2019-12-02T10:24:29.000Z
|
fairlearn/reductions/_exponentiated_gradient/__init__.py
|
arita37/fairlearn
|
8f2cb25ca6a0c0aadcff90b927936de6d53ff5fa
|
[
"MIT"
] | null | null | null |
fairlearn/reductions/_exponentiated_gradient/__init__.py
|
arita37/fairlearn
|
8f2cb25ca6a0c0aadcff90b927936de6d53ff5fa
|
[
"MIT"
] | null | null | null |
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
from .exponentiated_gradient import ExponentiatedGradient # noqa: F401
from .exponentiated_gradient import ExponentiatedGradientResult # noqa: F401
__all__ = [
"ExponentiatedGradient",
"ExponentiatedGradientResult"
]
| 29.363636
| 77
| 0.79257
|
8bd6939b53a3043718695a488bbde929cd4e44d7
| 423
|
py
|
Python
|
akagi/contents/__init__.py
|
pauchan/akagi
|
7cf1f5a52b8f1ebfdc74a527bf6b26254f99343b
|
[
"MIT"
] | 26
|
2017-05-18T11:52:04.000Z
|
2018-08-25T22:03:07.000Z
|
akagi/contents/__init__.py
|
pauchan/akagi
|
7cf1f5a52b8f1ebfdc74a527bf6b26254f99343b
|
[
"MIT"
] | 325
|
2017-05-08T07:22:28.000Z
|
2022-03-31T15:43:18.000Z
|
akagi/contents/__init__.py
|
pauchan/akagi
|
7cf1f5a52b8f1ebfdc74a527bf6b26254f99343b
|
[
"MIT"
] | 7
|
2017-05-02T02:06:15.000Z
|
2020-04-09T05:32:11.000Z
|
# -*- coding: utf-8 -*-
from akagi.contents import s3_content
from akagi.contents import local_file_content
from akagi.contents import spreadsheet_content
from akagi.contents import url_content
from akagi.contents.s3_content import S3Content
from akagi.contents.local_file_content import LocalFileContent
from akagi.contents.spreadsheet_content import SpreadsheetContent
from akagi.contents.url_content import URLContent
| 35.25
| 65
| 0.858156
|
8bd769344a472b553f48b5163b0040a5e6c76aa3
| 4,313
|
py
|
Python
|
src/advent/year2019/intcode.py
|
davidism/advent
|
761756f179c3547f44ec035880f29f58d80903f8
|
[
"BSD-3-Clause"
] | 5
|
2019-12-09T06:02:22.000Z
|
2021-12-03T18:02:49.000Z
|
src/advent/year2019/intcode.py
|
davidism/advent
|
761756f179c3547f44ec035880f29f58d80903f8
|
[
"BSD-3-Clause"
] | null | null | null |
src/advent/year2019/intcode.py
|
davidism/advent
|
761756f179c3547f44ec035880f29f58d80903f8
|
[
"BSD-3-Clause"
] | 2
|
2019-09-19T04:44:33.000Z
|
2021-05-09T14:39:58.000Z
|
from collections import defaultdict
from collections import deque
from typing import Deque
from typing import Dict
from typing import Iterable
from typing import List
from advent.load import read_input
def prepare_io(value: Iterable[int] = None, output=False) -> Deque[int]:
if value is None:
return deque()
if not (
hasattr(value, "append" if output else "popleft") or isinstance(value, deque)
):
return deque(value)
return value
def read_intcode(name=None) -> List[int]:
return [int(x) for x in read_input(name, 2).split(",")]
| 23.828729
| 85
| 0.537909
|
8bd88ec45c6933abd1b51585d3a13a40674a382b
| 225
|
py
|
Python
|
exer/ex5-2.py
|
vitorsergiota/python
|
2cc95392a2a52a871e0582e4e900c0aa24a021a1
|
[
"MIT"
] | null | null | null |
exer/ex5-2.py
|
vitorsergiota/python
|
2cc95392a2a52a871e0582e4e900c0aa24a021a1
|
[
"MIT"
] | null | null | null |
exer/ex5-2.py
|
vitorsergiota/python
|
2cc95392a2a52a871e0582e4e900c0aa24a021a1
|
[
"MIT"
] | null | null | null |
num = int(input('Escreva um digito:'))
soma=0
while num > 0
digito = num%10 # obtem algarismo unidades
num = num // 10 # remove algarismo unidades
if digito % 2 == 0: #par
soma = soma + digito
print(soma)
| 25
| 47
| 0.622222
|
8bd97144b2dc03785cd1d725114cfe7c4ea6a97a
| 644
|
py
|
Python
|
story/models.py
|
sachink2010/DjangoTrial
|
8b78a31409b614959ed45380f2b8ee9f03fa9f90
|
[
"MIT"
] | null | null | null |
story/models.py
|
sachink2010/DjangoTrial
|
8b78a31409b614959ed45380f2b8ee9f03fa9f90
|
[
"MIT"
] | null | null | null |
story/models.py
|
sachink2010/DjangoTrial
|
8b78a31409b614959ed45380f2b8ee9f03fa9f90
|
[
"MIT"
] | null | null | null |
from django.db import models
# Create your models here.
| 40.25
| 75
| 0.768634
|
8bdc456df221aa9aaf1072900c707aafc646d202
| 3,123
|
py
|
Python
|
scripts/find_best_fit.py
|
NERC-CEH/nanofase-calibration
|
e45da5f0566e345504214018eb4b9c013bab4c57
|
[
"BSD-3-Clause"
] | null | null | null |
scripts/find_best_fit.py
|
NERC-CEH/nanofase-calibration
|
e45da5f0566e345504214018eb4b9c013bab4c57
|
[
"BSD-3-Clause"
] | null | null | null |
scripts/find_best_fit.py
|
NERC-CEH/nanofase-calibration
|
e45da5f0566e345504214018eb4b9c013bab4c57
|
[
"BSD-3-Clause"
] | null | null | null |
#!/usr/bin/env python3
import os
import sys
import argparse
import re
import shutil
import numpy as np
from netCDF4 import Dataset
"""This script is useful for finding the best find from the `optimize.log` file,
the getting the parameters for this fit from logged results"""
# Parse the input arguments
parser = argparse.ArgumentParser(description='Find the best parameters so find')
parser.add_argument('--caldir', '-c', help='path to the calibration directory', default='./')
parser.add_argument('--yearrange', '-yr', nargs=2, type=int, help='year range to run calibration for (inclusive)')
parser.set_defaults(yearrange=[2009,2012])
args = parser.parse_args()
cal_dir = args.caldir
year_range = range(args.yearrange[0], args.yearrange[1]+1)
# Open the optimize.log file and find the best fit by plucking the cost and run ID
# from each line that begins with 'C' (Cost for...)
with open(os.path.join(cal_dir, 'optimize.log')) as f:
costs = []
ids = []
for line in f:
if line[0] == 'C':
split = re.split('Cost for |\: ', line)
ids.append(split[1])
costs.append(float(split[2]))
# Print the minimum cost and the corresponding run ID
costs = np.array(costs)
run_id = ids[costs.argmin()]
print(f'Minimum cost: {costs.min()}')
print(f'For run ID: {run_id}')
# Now get the parameters that produced that cost
params_f = np.load(os.path.join(cal_dir, 'results', f'{run_id}.npz'))
params = params_f['params']
# Finally, we can recreate the NetCDF files used for this run
param_names = ['resuspension_alpha', 'resuspension_beta', 'sediment_transport_a', 'sediment_transport_c',
'deposition_alpha', 'deposition_beta', 'bank_erosion_alpha', 'bank_erosion_beta']
# Get the template for the 2D array
nc_subcatchment = Dataset(os.path.join(cal_dir, 'data', f'{args.yearrange[0]}_no-emissions.nc'), 'r')
var = nc_subcatchment['flow_dir'][:,:]
catchment_mask = var.mask
catchment_shape = var.shape
n_cells = var.count()
# Make a copy of the template NetCDFs to add this iteration's params to
for year in year_range:
dst_path = os.path.join(cal_dir, f'data_cache/{year}_no-emissions_{run_id}.nc')
shutil.copy(os.path.join(cal_dir, f'data/{year}_no-emissions.nc'), dst_path)
# Pull out the 1D arrays for each parameter from the params variable, then
# reshape to the correct grid shape and mask and add to NetCDF file
for i, param in enumerate(param_names):
param_1d = params[n_cells*i:n_cells*i+n_cells]
param_2d = np.ma.masked_array(np.empty(catchment_shape), mask=catchment_mask)
# Reshape into 2D arrays, taking into account the mask
j = 0
for i, _ in np.ndenumerate(param_2d):
if ~catchment_mask[i]:
param_2d[i] = param_1d[j]
j = j + 1
# Now add this variable to the NetCDF file, placing a copy in the cache
for year in year_range:
# Then create the new variables
nc = Dataset(os.path.join(cal_dir, f'data_cache/{year}_no-emissions_{run_id}.nc'), 'r+')
var = nc.createVariable(param, datatype=float, dimensions=('y','x'))
var[:] = param_2d
nc.close()
| 42.780822
| 114
| 0.700288
|
8bde4876eb8d22e2a2bf6ea4f21056c49d4893b8
| 347
|
py
|
Python
|
examples/simple1.py
|
jimcortez/spotipy_twisted
|
49ff2a4a5a5a9b3184b22adbe068eb91a38f3102
|
[
"MIT"
] | null | null | null |
examples/simple1.py
|
jimcortez/spotipy_twisted
|
49ff2a4a5a5a9b3184b22adbe068eb91a38f3102
|
[
"MIT"
] | null | null | null |
examples/simple1.py
|
jimcortez/spotipy_twisted
|
49ff2a4a5a5a9b3184b22adbe068eb91a38f3102
|
[
"MIT"
] | null | null | null |
import spotipy_twisted
birdy_uri = 'spotify:artist:2WX2uTcsvV5OnS0inACecP'
spotify = spotipy_twisted.Spotify()
results = spotify.artist_albums(birdy_uri, album_type='album')
albums = results['items']
while results['next']:
results = spotify.next(results)
albums.extend(results['items'])
for album in albums:
print(album['name'])
| 20.411765
| 62
| 0.743516
|
8bde558284ee50c285e21e6e1f4a0e2c6265f5bf
| 21,737
|
py
|
Python
|
pysnmp-with-texts/CISCO-ATM-EXT-MIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 8
|
2019-05-09T17:04:00.000Z
|
2021-06-09T06:50:51.000Z
|
pysnmp-with-texts/CISCO-ATM-EXT-MIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 4
|
2019-05-31T16:42:59.000Z
|
2020-01-31T21:57:17.000Z
|
pysnmp-with-texts/CISCO-ATM-EXT-MIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 10
|
2019-04-30T05:51:36.000Z
|
2022-02-16T03:33:41.000Z
|
#
# PySNMP MIB module CISCO-ATM-EXT-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-ATM-EXT-MIB
# Produced by pysmi-0.3.4 at Wed May 1 11:50:35 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueSizeConstraint, SingleValueConstraint, ValueRangeConstraint, ConstraintsUnion, ConstraintsIntersection = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "SingleValueConstraint", "ValueRangeConstraint", "ConstraintsUnion", "ConstraintsIntersection")
atmVclEntry, aal5VccEntry = mibBuilder.importSymbols("ATM-MIB", "atmVclEntry", "aal5VccEntry")
ciscoMgmt, = mibBuilder.importSymbols("CISCO-SMI", "ciscoMgmt")
ModuleCompliance, NotificationGroup, ObjectGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup", "ObjectGroup")
Unsigned32, iso, TimeTicks, MibScalar, MibTable, MibTableRow, MibTableColumn, Integer32, Counter32, NotificationType, IpAddress, Bits, ModuleIdentity, Gauge32, MibIdentifier, Counter64, ObjectIdentity = mibBuilder.importSymbols("SNMPv2-SMI", "Unsigned32", "iso", "TimeTicks", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "Integer32", "Counter32", "NotificationType", "IpAddress", "Bits", "ModuleIdentity", "Gauge32", "MibIdentifier", "Counter64", "ObjectIdentity")
DisplayString, TextualConvention, TruthValue = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention", "TruthValue")
ciscoAtmExtMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 9, 9, 88))
ciscoAtmExtMIB.setRevisions(('2003-01-06 00:00', '1997-06-20 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: ciscoAtmExtMIB.setRevisionsDescriptions(('Added ciscoAtmVclExtOamTable for OAM configuration and state information.', 'Initial version of this MIB module.',))
if mibBuilder.loadTexts: ciscoAtmExtMIB.setLastUpdated('200301060000Z')
if mibBuilder.loadTexts: ciscoAtmExtMIB.setOrganization('Cisco Systems, Inc.')
if mibBuilder.loadTexts: ciscoAtmExtMIB.setContactInfo(' Cisco Systems Customer Service Postal: 170 W. Tasman Drive San Jose, CA 95134 USA Tel: +1 800 553-NETS E-mail: cs-atm@cisco.com')
if mibBuilder.loadTexts: ciscoAtmExtMIB.setDescription('An extension to the Cisco ATM MIB module for managing ATM implementations. Acronyms and terms used in the MIB module: AAL5 -- ATM adaptation layer 5. AIS -- Alarm Indication Signal. CC -- Continuity Check. End-to-end -- End-to-end continuity checking. Monitoring occurs on the entire VC between two ATM end stations. F5 OAM -- OAM information flow between network elements (NEs) used within virtual connections to report degraded virtual channel performance. OAM -- Operations, Administration and Maintenance. RDI -- Remote Detection Indication. Segment -- Segment continuity checking. Monitoring occurs on a VC segment between a router and a first-hop ATM switch. VC -- Virtual Channel. VCC -- Virtual Channel Connection. VCL -- Virtual Channel Link.')
ciscoAtmExtMIBObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 88, 1))
cAal5VccExtMIBObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 1))
catmxVcl = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2))
cAal5VccExtTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 1, 1), )
if mibBuilder.loadTexts: cAal5VccExtTable.setStatus('current')
if mibBuilder.loadTexts: cAal5VccExtTable.setDescription('This table contains AAL5 VCC performance parameters beyond that provided by cAal5VccEntry.')
cAal5VccExtEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 1, 1, 1), )
aal5VccEntry.registerAugmentions(("CISCO-ATM-EXT-MIB", "cAal5VccExtEntry"))
cAal5VccExtEntry.setIndexNames(*aal5VccEntry.getIndexNames())
if mibBuilder.loadTexts: cAal5VccExtEntry.setStatus('current')
if mibBuilder.loadTexts: cAal5VccExtEntry.setDescription('This list contains the additinal AAL5 VCC performance parameters beyond that provided by cAal5VccEntry.')
cAal5VccExtCompEnabled = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 1, 1, 1, 1), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cAal5VccExtCompEnabled.setStatus('current')
if mibBuilder.loadTexts: cAal5VccExtCompEnabled.setDescription('Boolean, if compression enabled for VCC.')
cAal5VccExtVoice = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 1, 1, 1, 2), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cAal5VccExtVoice.setStatus('current')
if mibBuilder.loadTexts: cAal5VccExtVoice.setDescription('Boolean, TRUE if VCC is used to carry voice.')
cAal5VccExtInF5OamCells = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 1, 1, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cAal5VccExtInF5OamCells.setStatus('current')
if mibBuilder.loadTexts: cAal5VccExtInF5OamCells.setDescription('Number of OAM F5 end to end loopback cells received through the VCC.')
cAal5VccExtOutF5OamCells = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 1, 1, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cAal5VccExtOutF5OamCells.setStatus('current')
if mibBuilder.loadTexts: cAal5VccExtOutF5OamCells.setDescription('Number of OAM F5 end to end loopback cells sent through the VCC.')
catmxVclOamTable = MibTable((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1), )
if mibBuilder.loadTexts: catmxVclOamTable.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamTable.setDescription('This table contains Virtual Channel Link (VCL) Oam configuration and state information. This table augments the atmVclTable.')
catmxVclOamEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1), )
atmVclEntry.registerAugmentions(("CISCO-ATM-EXT-MIB", "catmxVclOamEntry"))
catmxVclOamEntry.setIndexNames(*atmVclEntry.getIndexNames())
if mibBuilder.loadTexts: catmxVclOamEntry.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamEntry.setDescription('This list contains Virtual Channel Link (VCL) configuration and state information beyond that provided by atmVclEntry.')
catmxVclOamLoopbackFreq = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 1), Unsigned32()).setUnits('seconds').setMaxAccess("readwrite")
if mibBuilder.loadTexts: catmxVclOamLoopbackFreq.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamLoopbackFreq.setDescription('Specifies OAM loopback frequency.')
catmxVclOamRetryFreq = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 2), Unsigned32()).setUnits('seconds').setMaxAccess("readwrite")
if mibBuilder.loadTexts: catmxVclOamRetryFreq.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamRetryFreq.setDescription('Specifies OAM retry polling frequency.')
catmxVclOamUpRetryCount = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 3), Unsigned32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: catmxVclOamUpRetryCount.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamUpRetryCount.setDescription('Specifies OAM retry count before declaring a VC is up.')
catmxVclOamDownRetryCount = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 4), Unsigned32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: catmxVclOamDownRetryCount.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamDownRetryCount.setDescription('Specifies OAM retry count before declaring a VC is down.')
catmxVclOamEndCCActCount = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 5), Unsigned32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: catmxVclOamEndCCActCount.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamEndCCActCount.setDescription('Specifies OAM End-to-end Continuity check (CC) Activation retry count.')
catmxVclOamEndCCDeActCount = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 6), Unsigned32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: catmxVclOamEndCCDeActCount.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamEndCCDeActCount.setDescription('Specifies OAM End-to-end Continuity check (CC) Deactivation retry count.')
catmxVclOamEndCCRetryFreq = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 7), Unsigned32()).setUnits('seconds').setMaxAccess("readwrite")
if mibBuilder.loadTexts: catmxVclOamEndCCRetryFreq.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamEndCCRetryFreq.setDescription('Specifies OAM End-to-end Continuity check (CC) Activation/Deactivation retry frequency.')
catmxVclOamSegCCActCount = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 8), Unsigned32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: catmxVclOamSegCCActCount.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamSegCCActCount.setDescription('Specifies OAM Segment Continuity check (CC) Activation retry count.')
catmxVclOamSegCCDeActCount = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 9), Unsigned32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: catmxVclOamSegCCDeActCount.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamSegCCDeActCount.setDescription('Specifies OAM Segment Continuity check (CC) Deactivation retry count.')
catmxVclOamSegCCRetryFreq = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 10), Unsigned32()).setUnits('seconds').setMaxAccess("readwrite")
if mibBuilder.loadTexts: catmxVclOamSegCCRetryFreq.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamSegCCRetryFreq.setDescription('Specifies OAM Segment Continuity check (CC) Activation/Deactivation retry frequency.')
catmxVclOamManage = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 11), TruthValue().clone('false')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: catmxVclOamManage.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamManage.setDescription('Specifies OAM Enable/Disable on the VC. true(1) indicates that OAM is enabled on the VC. false(2) indicates that OAM is disabled on the VC.')
catmxVclOamLoopBkStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 12), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4))).clone(namedValues=NamedValues(("disabled", 1), ("sent", 2), ("received", 3), ("failed", 4)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: catmxVclOamLoopBkStatus.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamLoopBkStatus.setDescription('Indicates OAM loopback status of the VC. disabled(1) -- No OAMs on this VC. sent(2) -- OAM sent, waiting for echo. received(3) -- OAM received from target. failed(4) -- Last OAM did not return.')
catmxVclOamVcState = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7))).clone(namedValues=NamedValues(("downRetry", 1), ("verified", 2), ("notVerified", 3), ("upRetry", 4), ("aisRDI", 5), ("aisOut", 6), ("notManaged", 7)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: catmxVclOamVcState.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamVcState.setDescription('Indicates the state of VC OAM. downRetry(1) -- Loopback failed. Retry sending loopbacks with retry frequency. VC is up. verified(2) -- Loopback is successful. notVerified(3) -- Not verified by loopback, AIS/RDI conditions are cleared. upRetry(4) -- Retry successive loopbacks. VC is down. aisRDI(5) -- Received AIS/RDI. Loopback are not sent in this state. aisOut(6) -- Sending AIS. Loopback and reply are not sent in this state. notManaged(7) -- VC is not managed by OAM.')
catmxVclOamEndCCStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 14), OamCCStatus()).setMaxAccess("readonly")
if mibBuilder.loadTexts: catmxVclOamEndCCStatus.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamEndCCStatus.setDescription('Indicates OAM End-to-end Continuity check (CC) status.')
catmxVclOamSegCCStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 15), OamCCStatus()).setMaxAccess("readonly")
if mibBuilder.loadTexts: catmxVclOamSegCCStatus.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamSegCCStatus.setDescription('Indicates OAM Segment Continuity check (CC) status.')
catmxVclOamEndCCVcState = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 16), OamCCVcState()).setMaxAccess("readonly")
if mibBuilder.loadTexts: catmxVclOamEndCCVcState.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamEndCCVcState.setDescription('Indicates OAM End-to-end Continuity check (CC) VC state.')
catmxVclOamSegCCVcState = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 17), OamCCVcState()).setMaxAccess("readonly")
if mibBuilder.loadTexts: catmxVclOamSegCCVcState.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamSegCCVcState.setDescription('Indicates OAM Segment Continuity check (CC) VC state.')
catmxVclOamCellsReceived = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 18), Counter32()).setUnits('cells').setMaxAccess("readonly")
if mibBuilder.loadTexts: catmxVclOamCellsReceived.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamCellsReceived.setDescription('Indicates the number of OAM cells received on this VC.')
catmxVclOamCellsSent = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 19), Counter32()).setUnits('cells').setMaxAccess("readonly")
if mibBuilder.loadTexts: catmxVclOamCellsSent.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamCellsSent.setDescription('Indicates the number of OAM cells sent on this VC.')
catmxVclOamCellsDropped = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 20), Counter32()).setUnits('cells').setMaxAccess("readonly")
if mibBuilder.loadTexts: catmxVclOamCellsDropped.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamCellsDropped.setDescription('Indicates the number of OAM cells dropped on this VC.')
catmxVclOamInF5ais = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 21), Counter32()).setUnits('cells').setMaxAccess("readonly")
if mibBuilder.loadTexts: catmxVclOamInF5ais.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamInF5ais.setDescription('Indicates the number of received OAM F5 Alarm Indication Signal (AIS) cells from the VC.')
catmxVclOamOutF5ais = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 22), Counter32()).setUnits('cells').setMaxAccess("readonly")
if mibBuilder.loadTexts: catmxVclOamOutF5ais.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamOutF5ais.setDescription('Indicates the number of transmitted OAM F5 Alarm Indication Signal (AIS) cells to the VC.')
catmxVclOamInF5rdi = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 23), Counter32()).setUnits('cells').setMaxAccess("readonly")
if mibBuilder.loadTexts: catmxVclOamInF5rdi.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamInF5rdi.setDescription('Indicates the number of received OAM F5 Remote Detection Indication (RDI) cells from the VC.')
catmxVclOamOutF5rdi = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 9, 88, 1, 2, 1, 1, 24), Counter32()).setUnits('cells').setMaxAccess("readonly")
if mibBuilder.loadTexts: catmxVclOamOutF5rdi.setStatus('current')
if mibBuilder.loadTexts: catmxVclOamOutF5rdi.setDescription('Indicates the number of transmitted OAM F5 Remote Detection Indication (RDI) cells to the VC.')
ciscoAal5ExtMIBConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 88, 2))
ciscoAal5ExtMIBCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 88, 2, 1))
ciscoAal5ExtMIBGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 9, 88, 2, 2))
ciscoAal5ExtMIBCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 88, 2, 1, 1)).setObjects(("CISCO-ATM-EXT-MIB", "ciscoAal5ExtMIBGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ciscoAal5ExtMIBCompliance = ciscoAal5ExtMIBCompliance.setStatus('deprecated')
if mibBuilder.loadTexts: ciscoAal5ExtMIBCompliance.setDescription('This compliance is deprecated in favour of ciscoAal5ExtMIBComplianceRev1. The compliance statement for entities which implement this Cisco AAL5 Extention MIB and support data compression or voice features.')
ciscoAal5ExtMIBComplianceRev1 = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 9, 88, 2, 1, 2)).setObjects(("CISCO-ATM-EXT-MIB", "ciscoAal5ExtMIBGroup"), ("CISCO-ATM-EXT-MIB", "ciscoAtmExtVclOamGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ciscoAal5ExtMIBComplianceRev1 = ciscoAal5ExtMIBComplianceRev1.setStatus('current')
if mibBuilder.loadTexts: ciscoAal5ExtMIBComplianceRev1.setDescription('The compliance statement for entities which implement CISCO-ATM-EXT-MIB.')
ciscoAal5ExtMIBGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 88, 2, 2, 1)).setObjects(("CISCO-ATM-EXT-MIB", "cAal5VccExtCompEnabled"), ("CISCO-ATM-EXT-MIB", "cAal5VccExtVoice"), ("CISCO-ATM-EXT-MIB", "cAal5VccExtInF5OamCells"), ("CISCO-ATM-EXT-MIB", "cAal5VccExtOutF5OamCells"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ciscoAal5ExtMIBGroup = ciscoAal5ExtMIBGroup.setStatus('current')
if mibBuilder.loadTexts: ciscoAal5ExtMIBGroup.setDescription('A collection of objects providing AAL5 related parameters.')
ciscoAtmExtVclOamGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 9, 88, 2, 2, 2)).setObjects(("CISCO-ATM-EXT-MIB", "catmxVclOamLoopbackFreq"), ("CISCO-ATM-EXT-MIB", "catmxVclOamRetryFreq"), ("CISCO-ATM-EXT-MIB", "catmxVclOamUpRetryCount"), ("CISCO-ATM-EXT-MIB", "catmxVclOamDownRetryCount"), ("CISCO-ATM-EXT-MIB", "catmxVclOamEndCCActCount"), ("CISCO-ATM-EXT-MIB", "catmxVclOamEndCCDeActCount"), ("CISCO-ATM-EXT-MIB", "catmxVclOamEndCCRetryFreq"), ("CISCO-ATM-EXT-MIB", "catmxVclOamSegCCActCount"), ("CISCO-ATM-EXT-MIB", "catmxVclOamSegCCDeActCount"), ("CISCO-ATM-EXT-MIB", "catmxVclOamSegCCRetryFreq"), ("CISCO-ATM-EXT-MIB", "catmxVclOamManage"), ("CISCO-ATM-EXT-MIB", "catmxVclOamLoopBkStatus"), ("CISCO-ATM-EXT-MIB", "catmxVclOamVcState"), ("CISCO-ATM-EXT-MIB", "catmxVclOamEndCCStatus"), ("CISCO-ATM-EXT-MIB", "catmxVclOamSegCCStatus"), ("CISCO-ATM-EXT-MIB", "catmxVclOamEndCCVcState"), ("CISCO-ATM-EXT-MIB", "catmxVclOamSegCCVcState"), ("CISCO-ATM-EXT-MIB", "catmxVclOamCellsReceived"), ("CISCO-ATM-EXT-MIB", "catmxVclOamCellsSent"), ("CISCO-ATM-EXT-MIB", "catmxVclOamCellsDropped"), ("CISCO-ATM-EXT-MIB", "catmxVclOamInF5ais"), ("CISCO-ATM-EXT-MIB", "catmxVclOamOutF5ais"), ("CISCO-ATM-EXT-MIB", "catmxVclOamInF5rdi"), ("CISCO-ATM-EXT-MIB", "catmxVclOamOutF5rdi"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
ciscoAtmExtVclOamGroup = ciscoAtmExtVclOamGroup.setStatus('current')
if mibBuilder.loadTexts: ciscoAtmExtVclOamGroup.setDescription('A collection of objects providing Virtual Channel Link (VCL) OAM configuration and state information.')
mibBuilder.exportSymbols("CISCO-ATM-EXT-MIB", catmxVclOamSegCCDeActCount=catmxVclOamSegCCDeActCount, catmxVclOamUpRetryCount=catmxVclOamUpRetryCount, cAal5VccExtVoice=cAal5VccExtVoice, catmxVclOamCellsDropped=catmxVclOamCellsDropped, ciscoAal5ExtMIBGroup=ciscoAal5ExtMIBGroup, catmxVclOamEndCCStatus=catmxVclOamEndCCStatus, catmxVclOamEndCCVcState=catmxVclOamEndCCVcState, catmxVclOamSegCCRetryFreq=catmxVclOamSegCCRetryFreq, ciscoAtmExtMIB=ciscoAtmExtMIB, catmxVclOamSegCCActCount=catmxVclOamSegCCActCount, catmxVclOamLoopBkStatus=catmxVclOamLoopBkStatus, catmxVclOamSegCCStatus=catmxVclOamSegCCStatus, cAal5VccExtTable=cAal5VccExtTable, ciscoAal5ExtMIBCompliance=ciscoAal5ExtMIBCompliance, PYSNMP_MODULE_ID=ciscoAtmExtMIB, cAal5VccExtEntry=cAal5VccExtEntry, catmxVclOamVcState=catmxVclOamVcState, ciscoAtmExtMIBObjects=ciscoAtmExtMIBObjects, catmxVclOamOutF5rdi=catmxVclOamOutF5rdi, ciscoAal5ExtMIBConformance=ciscoAal5ExtMIBConformance, OamCCStatus=OamCCStatus, catmxVclOamTable=catmxVclOamTable, catmxVclOamDownRetryCount=catmxVclOamDownRetryCount, catmxVclOamManage=catmxVclOamManage, catmxVclOamEndCCRetryFreq=catmxVclOamEndCCRetryFreq, ciscoAal5ExtMIBGroups=ciscoAal5ExtMIBGroups, catmxVclOamInF5ais=catmxVclOamInF5ais, cAal5VccExtCompEnabled=cAal5VccExtCompEnabled, OamCCVcState=OamCCVcState, catmxVclOamEndCCActCount=catmxVclOamEndCCActCount, catmxVclOamSegCCVcState=catmxVclOamSegCCVcState, catmxVclOamEntry=catmxVclOamEntry, catmxVclOamEndCCDeActCount=catmxVclOamEndCCDeActCount, catmxVcl=catmxVcl, cAal5VccExtInF5OamCells=cAal5VccExtInF5OamCells, cAal5VccExtOutF5OamCells=cAal5VccExtOutF5OamCells, catmxVclOamOutF5ais=catmxVclOamOutF5ais, ciscoAal5ExtMIBCompliances=ciscoAal5ExtMIBCompliances, catmxVclOamRetryFreq=catmxVclOamRetryFreq, catmxVclOamInF5rdi=catmxVclOamInF5rdi, catmxVclOamCellsReceived=catmxVclOamCellsReceived, catmxVclOamLoopbackFreq=catmxVclOamLoopbackFreq, cAal5VccExtMIBObjects=cAal5VccExtMIBObjects, catmxVclOamCellsSent=catmxVclOamCellsSent, ciscoAtmExtVclOamGroup=ciscoAtmExtVclOamGroup, ciscoAal5ExtMIBComplianceRev1=ciscoAal5ExtMIBComplianceRev1)
| 134.179012
| 2,083
| 0.776096
|
8bdf0a8fc72d26035fdc4522645b4d01820727b6
| 4,905
|
py
|
Python
|
arrows/pytorch/seg_utils.py
|
neal-siekierski/kwiver
|
1c97ad72c8b6237cb4b9618665d042be16825005
|
[
"BSD-3-Clause"
] | null | null | null |
arrows/pytorch/seg_utils.py
|
neal-siekierski/kwiver
|
1c97ad72c8b6237cb4b9618665d042be16825005
|
[
"BSD-3-Clause"
] | null | null | null |
arrows/pytorch/seg_utils.py
|
neal-siekierski/kwiver
|
1c97ad72c8b6237cb4b9618665d042be16825005
|
[
"BSD-3-Clause"
] | null | null | null |
# ckwg +28
# Copyright 2018 by Kitware, Inc.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
#
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
#
# * Neither name of Kitware, Inc. nor the names of any contributors may be used
# to endorse or promote products derived from this software without specific
# prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS ``AS IS''
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
# ARE DISCLAIMED. IN NO EVENT SHALL THE AUTHORS OR CONTRIBUTORS BE LIABLE FOR
# ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
# DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
# SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
# CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
# OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import six
import warnings
import numpy as np
import torch
try:
import cv2
except ImportError:
cv2 = None
| 33.367347
| 80
| 0.626504
|
8bdf61ec1b8d8328f9ce10467e5dc4c43240c500
| 6,421
|
py
|
Python
|
fdtd/2d/src/fdtd/solver.py
|
Elena-Torres-Lozano/MCFNL2021
|
b60ecda2dc35fe08ce6cf131c45acc0349dce29c
|
[
"BSD-3-Clause"
] | null | null | null |
fdtd/2d/src/fdtd/solver.py
|
Elena-Torres-Lozano/MCFNL2021
|
b60ecda2dc35fe08ce6cf131c45acc0349dce29c
|
[
"BSD-3-Clause"
] | null | null | null |
fdtd/2d/src/fdtd/solver.py
|
Elena-Torres-Lozano/MCFNL2021
|
b60ecda2dc35fe08ce6cf131c45acc0349dce29c
|
[
"BSD-3-Clause"
] | null | null | null |
import math
import numpy as np
import scipy.constants as sp
import copy
import time
X = 0 # Cartesian indices
Y = 1
L = 0 # Lower
U = 1 # Upper
| 33.973545
| 79
| 0.454914
|
8bdfa2aafd82d2863e79980ee316f8cecf63acbc
| 2,505
|
py
|
Python
|
myticker.py
|
bitsanity/rateboard
|
f362505d6b9672d2f22bc6e6650975899d2ea127
|
[
"Apache-2.0"
] | 3
|
2017-08-24T14:36:49.000Z
|
2018-11-21T21:14:06.000Z
|
myticker.py
|
bitsanity/rateboard
|
f362505d6b9672d2f22bc6e6650975899d2ea127
|
[
"Apache-2.0"
] | null | null | null |
myticker.py
|
bitsanity/rateboard
|
f362505d6b9672d2f22bc6e6650975899d2ea127
|
[
"Apache-2.0"
] | null | null | null |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import os
import sys, traceback
import threading
import time
from PyQt4 import QtGui,QtCore
from boardlet import Boardlet
from modellet import Modellet
| 28.793103
| 76
| 0.64511
|
8bdfada5a195abb5fa1a5addc5ae23054f34a07f
| 62,005
|
py
|
Python
|
pysnmp-with-texts/ASSETMANAGEMENT-MIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 8
|
2019-05-09T17:04:00.000Z
|
2021-06-09T06:50:51.000Z
|
pysnmp-with-texts/ASSETMANAGEMENT-MIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 4
|
2019-05-31T16:42:59.000Z
|
2020-01-31T21:57:17.000Z
|
pysnmp-with-texts/ASSETMANAGEMENT-MIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 10
|
2019-04-30T05:51:36.000Z
|
2022-02-16T03:33:41.000Z
|
#
# PySNMP MIB module ASSETMANAGEMENT-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/ASSETMANAGEMENT-MIB
# Produced by pysmi-0.3.4 at Wed May 1 11:29:30 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueSizeConstraint, ConstraintsUnion, ValueRangeConstraint, ConstraintsIntersection, SingleValueConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ConstraintsUnion", "ValueRangeConstraint", "ConstraintsIntersection", "SingleValueConstraint")
InetPortNumber, InetAddress, InetAddressType = mibBuilder.importSymbols("INET-ADDRESS-MIB", "InetPortNumber", "InetAddress", "InetAddressType")
ModuleCompliance, ObjectGroup, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "ObjectGroup", "NotificationGroup")
sysName, sysLocation, sysContact = mibBuilder.importSymbols("SNMPv2-MIB", "sysName", "sysLocation", "sysContact")
NotificationType, Gauge32, ModuleIdentity, MibIdentifier, Integer32, Counter64, IpAddress, MibScalar, MibTable, MibTableRow, MibTableColumn, iso, Counter32, Unsigned32, enterprises, ObjectIdentity, TimeTicks, Bits = mibBuilder.importSymbols("SNMPv2-SMI", "NotificationType", "Gauge32", "ModuleIdentity", "MibIdentifier", "Integer32", "Counter64", "IpAddress", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "iso", "Counter32", "Unsigned32", "enterprises", "ObjectIdentity", "TimeTicks", "Bits")
DisplayString, TruthValue, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TruthValue", "TextualConvention")
raritan = ModuleIdentity((1, 3, 6, 1, 4, 1, 13742))
raritan.setRevisions(('2015-01-05 00:00', '2014-09-25 00:00', '2014-04-04 00:00', '2012-03-29 00:00', '2012-03-26 00:00', '2012-02-14 00:00', '2012-02-10 00:00', '2012-02-08 00:00', '2012-02-07 00:00', '2012-02-03 00:00', '2012-01-17 00:00', '2012-01-04 00:00', '2011-12-08 00:00', '2011-11-11 00:00', '2011-11-09 00:00', '2011-10-25 00:00', '2011-10-05 00:00', '2011-09-05 00:00', '2011-09-01 00:00', '2011-08-23 00:00', '2011-05-18 00:00', '2011-05-04 00:00', '2011-04-15 00:00', '2011-02-18 00:00',))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
if mibBuilder.loadTexts: raritan.setRevisionsDescriptions(('The following changes were made. 1) Added agentInetPortNumber under trapInformation 2) Added agentInetPortNumber as a varbind to all traps ', 'The following changes were made. 1) added assetStripCascadePosition to the assetManagement table 2) added rackUnitRelativePosition to the assetManagement table. 3) added assetStripNumberOfRackUnits to the assetManagement table. 4) added assetStripType, assetStripCascadePosition, rackUnitRelativePosition, assetStripNumberOfRackUnits to the following traps. assetTagConnected assetTagDisconnected bladeExtensionConnected bladeExtensionDisconnected ', 'The following changes were made. 1) added bladeTagID to assetTagConnected and assetTagDisconnected traps 2) added rackUnitCount to the following traps. assetTagConnected assetTagDisconnected bladeExtensionConnected bladeExtensionDisconnected assetStripStateChange ', 'The following changes were made. 1) add logParentBladeID to AssetManagementLogEntryStruct ', 'The following changes were made. 1) clarify documentation of LED operation mode: setting ledMode, ledColor or ledColorStr automatically switches the ledOperationMode to manual. ', 'The following changes were made. 1) add logAssetStripState and extend logEventType with assetStripStateChange ', 'The following changes were made. 1) clarify documentation regarding logSlotNumber: it is 0 a) indicating a tag on the main strip b) in case no strip is connected or the value is not valid for a certain log entry ', 'The following changes were made. 1) added bladeExtensionSize to bladeExtensionConnected and bladeExtensionDisconnected traps ', 'The following changes were made. 1) added logSize, oldestLogID, newestLogID and logEventCount 2) added assetManagementLogTable and assetManagementLogEntry ', ' 1) Added assetStripDefaultLEDColorConnected, assetStripDefaultLEDColorConnectedStr, assetStripDefaultLEDColorDisconnected, assetStripDefaultLEDColorDisconnectedStr to AssetStripConfigurationEntryStruct 2) Deprecated defaultLEDColorConnected, defaultLEDColorConnectedStr, defaultLEDColorDisconnected, defaultLEDColorDisconnectedStr ', '1) add rackUnitPosition to the following traps: assetTagConnected, assetTagDisconnected, bladeExtensionConnected, bladeExtensionDisconnected, rackUnitConfigurationChanged 2) rackUnitNumber in the traps now always corresponds with rackUnitID, clarify documentation accordingly ', ' 1) extended AssetStripConfigurationEntryStruct by assetStripType and numberOfComponentAssetStrips 2) added compositeAssetStripCompositionChanged trap ', ' 1) removed bladeSlotNumberingMode from AssetManagementEntryStruct 2) removed BladeSlotNumberingModeEnumeration 3) removed bladeSlotNumberingMode from the rackUnitConfigurationChanged trap ', 'The following changes were made. 1) allow 0 in rackUnitPosition in case there is no strip connected 2) added none (nothing connected) and unknown (strip disconnected) to rackUnitType ', 'The following changes were made. 1) allow a 0 in bladeExtensionSize in case there is no blade extension connected or the asset strip is disconnected. ', 'The following changes were made. 1) added sysContact,sysName, sysLocation to all traps 2) added currentMainTagCount, currentBladeTagCount 3) added maxMainTagCount, maxBladeTagCount 4) added bladeExtensionOverflow 5) added traps bladeExtensionOverflowOccured, bladeExtensionOverflowCleared ', 'The following changes were made. 1) Added assetStripName to all traps ', '1) added rackUnitName ', ' 1) added bladeExtensionConnected, bladeExtensionDisconnected traps 2) in AssetManagementEntryStruct renamed rackUnitSize to bladeExtensionSize 3) added bladeSlotPosition to BladeExtensionEntryStruct 4) added bladeSlotNumberingMode to AssetManagementEntryStruct 5) added BladeSlotNumberingModeEnumeration 6) added bladeSlotNumberingMode to the rackUnitConfigurationChanged trap ', 'Support blade server extension segments: 1) added rackUnitType, rackUnitSize 2) added bladeExtensionTable and bladeExtensionEntry 3) added slotNumber to assetTagConnected and assetTagDisconnected traps ', 'The following changes were made. 1) Modified blinking speeds in AssetManagementLEDModeEnumeration to fastBlink, slowBlink ', 'The following changes were made. 1) Added ledOperationMode to the Tag Connected and Tag Disconnected Traps. 2) Modified the DESCRIPTION of rackUnitNumberingOffset. 3) Modified blinking speeds in AssetManagementLEDModeEnumeration to blinkFastest, blink2ndFastest ', 'The following changes were made. 1) Added DeviceConfigurationParameterEnumeration, RackUnitNumberingModeEnumeration, AssetStripOrientationEnumeration 2) Added deviceConfigurationChanged Trap 3) Added deviceUserName, deviceChangedParameter, changedParameterNewValue to trapInformationGroup 4) Added blinking2(4) to AssetManagementLEDModeEnumeration 5) Add led mode and led color information to the Tag Connected and Tag Disconnected Traps. 6) Added rackUnitNumberingMode, rackUnitNumberingOffset, assetStripOrientation to AssetStripConfigurationEntryStruct 7) Added rackUnitPosition to AssetManagementEntryStruct 8) Added rackUnitConfigurationChanged Trap ', 'The first version of the MIB.',))
if mibBuilder.loadTexts: raritan.setLastUpdated('201501050000Z')
if mibBuilder.loadTexts: raritan.setOrganization('Raritan')
if mibBuilder.loadTexts: raritan.setContactInfo(' Author: Raritan Americas, Inc. postal: Raritan Americas, Inc. 400 Cottontail Lane Somerset, NJ 08873 email: tech@raritan.com phone: +1 732 764 8886 ')
if mibBuilder.loadTexts: raritan.setDescription('This MIB describes the SNMP functions of the asset management capable products from Raritan Computer.')
assetManager = MibIdentifier((1, 3, 6, 1, 4, 1, 13742, 7))
traps = MibIdentifier((1, 3, 6, 1, 4, 1, 13742, 7, 0))
trapInformation = MibIdentifier((1, 3, 6, 1, 4, 1, 13742, 7, 0, 0))
configuration = MibIdentifier((1, 3, 6, 1, 4, 1, 13742, 7, 1))
conformance = MibIdentifier((1, 3, 6, 1, 4, 1, 13742, 7, 2))
log = MibIdentifier((1, 3, 6, 1, 4, 1, 13742, 7, 3))
assetStrip = MibIdentifier((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6))
assetManagement = MibIdentifier((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7))
compliances = MibIdentifier((1, 3, 6, 1, 4, 1, 13742, 7, 2, 1))
groups = MibIdentifier((1, 3, 6, 1, 4, 1, 13742, 7, 2, 2))
complianceRev1 = ModuleCompliance((1, 3, 6, 1, 4, 1, 13742, 7, 2, 1, 1)).setObjects(("ASSETMANAGEMENT-MIB", "configGroup"), ("ASSETMANAGEMENT-MIB", "assetManagementGroup"), ("ASSETMANAGEMENT-MIB", "trapInformationGroup"), ("ASSETMANAGEMENT-MIB", "trapsGroup"), ("ASSETMANAGEMENT-MIB", "logGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
complianceRev1 = complianceRev1.setStatus('deprecated')
if mibBuilder.loadTexts: complianceRev1.setDescription('The requirements for conformance to the ASSETMANAGEMENT-MIB. This is deprecated in favor of complianceRev2')
complianceRev2 = ModuleCompliance((1, 3, 6, 1, 4, 1, 13742, 7, 2, 1, 2)).setObjects(("ASSETMANAGEMENT-MIB", "configGroup2"), ("ASSETMANAGEMENT-MIB", "assetManagementGroup"), ("ASSETMANAGEMENT-MIB", "trapInformationGroup"), ("ASSETMANAGEMENT-MIB", "trapsGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
complianceRev2 = complianceRev2.setStatus('current')
if mibBuilder.loadTexts: complianceRev2.setDescription('The requirements for conformance to the ASSETMANAGEMENT-MIB.')
configGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 13742, 7, 2, 2, 1)).setObjects(("ASSETMANAGEMENT-MIB", "defaultLEDColorConnected"), ("ASSETMANAGEMENT-MIB", "defaultLEDColorConnectedStr"), ("ASSETMANAGEMENT-MIB", "defaultLEDColorDisconnected"), ("ASSETMANAGEMENT-MIB", "defaultLEDColorDisconnectedStr"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
configGroup = configGroup.setStatus('deprecated')
if mibBuilder.loadTexts: configGroup.setDescription('A collection of objects representing configuration data. ')
configGroup2 = ObjectGroup((1, 3, 6, 1, 4, 1, 13742, 7, 2, 2, 5)).setObjects(("ASSETMANAGEMENT-MIB", "assetStripCount"), ("ASSETMANAGEMENT-MIB", "assetStripState"), ("ASSETMANAGEMENT-MIB", "assetStripName"), ("ASSETMANAGEMENT-MIB", "rackUnitCount"), ("ASSETMANAGEMENT-MIB", "rackUnitNumberingMode"), ("ASSETMANAGEMENT-MIB", "rackUnitNumberingOffset"), ("ASSETMANAGEMENT-MIB", "assetStripOrientation"), ("ASSETMANAGEMENT-MIB", "currentMainTagCount"), ("ASSETMANAGEMENT-MIB", "currentBladeTagCount"), ("ASSETMANAGEMENT-MIB", "maxMainTagCount"), ("ASSETMANAGEMENT-MIB", "maxBladeTagCount"), ("ASSETMANAGEMENT-MIB", "bladeExtensionOverflow"), ("ASSETMANAGEMENT-MIB", "assetStripType"), ("ASSETMANAGEMENT-MIB", "numberOfComponentAssetStrips"), ("ASSETMANAGEMENT-MIB", "assetStripDefaultLEDColorConnected"), ("ASSETMANAGEMENT-MIB", "assetStripDefaultLEDColorConnectedStr"), ("ASSETMANAGEMENT-MIB", "assetStripDefaultLEDColorDisconnected"), ("ASSETMANAGEMENT-MIB", "assetStripDefaultLEDColorDisconnectedStr"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
configGroup2 = configGroup2.setStatus('current')
if mibBuilder.loadTexts: configGroup2.setDescription('A collection of objects representing configuration data.')
assetManagementGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 13742, 7, 2, 2, 2)).setObjects(("ASSETMANAGEMENT-MIB", "ledOperationMode"), ("ASSETMANAGEMENT-MIB", "ledMode"), ("ASSETMANAGEMENT-MIB", "ledColor"), ("ASSETMANAGEMENT-MIB", "ledColorStr"), ("ASSETMANAGEMENT-MIB", "tagID"), ("ASSETMANAGEMENT-MIB", "bladeTagID"), ("ASSETMANAGEMENT-MIB", "tagFamily"), ("ASSETMANAGEMENT-MIB", "rackUnitPosition"), ("ASSETMANAGEMENT-MIB", "rackUnitType"), ("ASSETMANAGEMENT-MIB", "bladeExtensionSize"), ("ASSETMANAGEMENT-MIB", "bladeSlotPosition"), ("ASSETMANAGEMENT-MIB", "rackUnitName"), ("ASSETMANAGEMENT-MIB", "assetStripCascadePosition"), ("ASSETMANAGEMENT-MIB", "rackUnitRelativePosition"), ("ASSETMANAGEMENT-MIB", "assetStripNumberOfRackUnits"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
assetManagementGroup = assetManagementGroup.setStatus('current')
if mibBuilder.loadTexts: assetManagementGroup.setDescription('A collection of objects providing the ability to control the asset management strip.')
trapsGroup = NotificationGroup((1, 3, 6, 1, 4, 1, 13742, 7, 2, 2, 3)).setObjects(("ASSETMANAGEMENT-MIB", "assetStripStateChange"), ("ASSETMANAGEMENT-MIB", "assetTagConnected"), ("ASSETMANAGEMENT-MIB", "assetTagDisconnected"), ("ASSETMANAGEMENT-MIB", "assetStripFirmwareUpdate"), ("ASSETMANAGEMENT-MIB", "deviceConfigurationChanged"), ("ASSETMANAGEMENT-MIB", "rackUnitConfigurationChanged"), ("ASSETMANAGEMENT-MIB", "bladeExtensionConnected"), ("ASSETMANAGEMENT-MIB", "bladeExtensionDisconnected"), ("ASSETMANAGEMENT-MIB", "bladeExtensionOverflowOccured"), ("ASSETMANAGEMENT-MIB", "bladeExtensionOverflowCleared"), ("ASSETMANAGEMENT-MIB", "compositeAssetStripCompositionChanged"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
trapsGroup = trapsGroup.setStatus('current')
if mibBuilder.loadTexts: trapsGroup.setDescription('A collection of traps.')
trapInformationGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 13742, 7, 2, 2, 4)).setObjects(("ASSETMANAGEMENT-MIB", "deviceName"), ("ASSETMANAGEMENT-MIB", "deviceInetAddressType"), ("ASSETMANAGEMENT-MIB", "deviceInetIPAddress"), ("ASSETMANAGEMENT-MIB", "assetStripNumber"), ("ASSETMANAGEMENT-MIB", "rackUnitNumber"), ("ASSETMANAGEMENT-MIB", "slotNumber"), ("ASSETMANAGEMENT-MIB", "assetStripFirmwareUpdateState"), ("ASSETMANAGEMENT-MIB", "deviceUserName"), ("ASSETMANAGEMENT-MIB", "deviceChangedParameter"), ("ASSETMANAGEMENT-MIB", "changedParameterNewValue"), ("ASSETMANAGEMENT-MIB", "oldNumberOfComponentAssetStrips"), ("ASSETMANAGEMENT-MIB", "agentInetPortNumber"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
trapInformationGroup = trapInformationGroup.setStatus('current')
if mibBuilder.loadTexts: trapInformationGroup.setDescription('A collection of objects providing information in the traps.')
logGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 13742, 7, 2, 2, 6)).setObjects(("ASSETMANAGEMENT-MIB", "logSize"), ("ASSETMANAGEMENT-MIB", "oldestLogID"), ("ASSETMANAGEMENT-MIB", "newestLogID"), ("ASSETMANAGEMENT-MIB", "logEventCount"), ("ASSETMANAGEMENT-MIB", "logTimeStamp"), ("ASSETMANAGEMENT-MIB", "logEventType"), ("ASSETMANAGEMENT-MIB", "logAssetStripNumber"), ("ASSETMANAGEMENT-MIB", "logRackUnitNumber"), ("ASSETMANAGEMENT-MIB", "logRackUnitPosition"), ("ASSETMANAGEMENT-MIB", "logSlotNumber"), ("ASSETMANAGEMENT-MIB", "logTagID"), ("ASSETMANAGEMENT-MIB", "logAssetStripState"), ("ASSETMANAGEMENT-MIB", "logParentBladeID"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
logGroup = logGroup.setStatus('current')
if mibBuilder.loadTexts: logGroup.setDescription('A collection of objects representing log data.')
assetStripCount = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: assetStripCount.setStatus('current')
if mibBuilder.loadTexts: assetStripCount.setDescription('The number of asset management strip units supported.')
defaultLEDColorConnected = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 1, 2), RGBCOLOR()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: defaultLEDColorConnected.setStatus('deprecated')
if mibBuilder.loadTexts: defaultLEDColorConnected.setDescription('Default color of all LEDs (RGB) when a tag is connected during automatic operation; in binary format. This is deprecated in favor of assetStripDefaultLEDColorConnected For SET operations, the value will be applied to all asset strips For GET operations, the value returned will be the value corresponding to asset strip 1')
defaultLEDColorConnectedStr = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 1, 3), DisplayString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: defaultLEDColorConnectedStr.setStatus('deprecated')
if mibBuilder.loadTexts: defaultLEDColorConnectedStr.setDescription('Default color of all LEDs (RGB) when a tag is connected during automatic operation; string with 3 hex octets This is deprecated in favor of assetStripDefaultLEDColorConnectedStr For SET operations, the value will be applied to all asset strips For GET operations, the value returned will be the value corresponding to asset strip 1')
defaultLEDColorDisconnected = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 1, 4), RGBCOLOR()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: defaultLEDColorDisconnected.setStatus('deprecated')
if mibBuilder.loadTexts: defaultLEDColorDisconnected.setDescription('Default color of all LEDs (RGB) when no tag is connected during automatic operation; in binary format. This is deprecated in favor of assetStripDefaultLEDColorDisConnected For SET operations, the value will be applied to all asset strips For GET operations, the value returned will be the value corresponding to asset strip 1')
defaultLEDColorDisconnectedStr = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 1, 5), DisplayString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: defaultLEDColorDisconnectedStr.setStatus('deprecated')
if mibBuilder.loadTexts: defaultLEDColorDisconnectedStr.setDescription('Default color of all LEDs (RGB) when no tag is connected during automatic operation; string with 3 hex octets This is deprecated in favor of assetStripDefaultLEDColorDisconnectedStr For SET operations, the value will be applied to all asset strips For GET operations, the value returned will be the value corresponding to asset strip 1')
assetStripConfigurationTable = MibTable((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1), )
if mibBuilder.loadTexts: assetStripConfigurationTable.setStatus('current')
if mibBuilder.loadTexts: assetStripConfigurationTable.setDescription('A list of configuration entries. The number of entries is given by the value of assetStripCount.')
assetStripConfigurationEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1), ).setIndexNames((0, "ASSETMANAGEMENT-MIB", "assetStripID"))
if mibBuilder.loadTexts: assetStripConfigurationEntry.setStatus('current')
if mibBuilder.loadTexts: assetStripConfigurationEntry.setDescription('An entry containing configuration objects for a particular asset management strip unit.')
assetStripID = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 256)))
if mibBuilder.loadTexts: assetStripID.setStatus('current')
if mibBuilder.loadTexts: assetStripID.setDescription('A unique value for each asset strip. Its value ranges between 1 and the value of assetStripCount.')
rackUnitCount = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(8, 64))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: rackUnitCount.setStatus('current')
if mibBuilder.loadTexts: rackUnitCount.setDescription('The number of rack-units for the asset management.')
assetStripState = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 3), AssetStripStateEnumeration()).setMaxAccess("readonly")
if mibBuilder.loadTexts: assetStripState.setStatus('current')
if mibBuilder.loadTexts: assetStripState.setDescription('Asset management strip state.')
assetStripName = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 4), DisplayString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: assetStripName.setStatus('current')
if mibBuilder.loadTexts: assetStripName.setDescription('Asset management strip name.')
rackUnitNumberingMode = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 5), RackUnitNumberingModeEnumeration()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: rackUnitNumberingMode.setStatus('current')
if mibBuilder.loadTexts: rackUnitNumberingMode.setDescription('The rack unit nmbering mode for this asset strip.')
rackUnitNumberingOffset = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 6), Integer32()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: rackUnitNumberingOffset.setStatus('current')
if mibBuilder.loadTexts: rackUnitNumberingOffset.setDescription('The offset (starting value) for rack Unit Numbering; This takes care of the case in which the asset strip is monitoring not all the assets but a subset of it, starting from racknumberingOffset. For example, the asset strip may be monitoring assets from 10 through 26; default value is 1 ')
assetStripOrientation = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 7), AssetStripOrientationEnumeration()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: assetStripOrientation.setStatus('current')
if mibBuilder.loadTexts: assetStripOrientation.setDescription('Is the asset strip oriented such that the connector is at the top or the bottom? If the asset strip has a tilt sensor, then this varaible is read-only and an to set(write) it will result in an error. If the asset strip does not have a tilt sensor, then this variable is read-write ')
currentMainTagCount = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 8), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: currentMainTagCount.setStatus('current')
if mibBuilder.loadTexts: currentMainTagCount.setDescription('Number of tags currently connected to the main strip.')
currentBladeTagCount = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 9), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: currentBladeTagCount.setStatus('current')
if mibBuilder.loadTexts: currentBladeTagCount.setDescription('Number of tags currently connected to blade extensions. This may be larger than the maxBladeTagCount. In this case an overflow occured and all tags over maxBladeTagCount are not recognized.')
maxMainTagCount = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 10), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: maxMainTagCount.setStatus('current')
if mibBuilder.loadTexts: maxMainTagCount.setDescription('Maximum number of tags on the main asset strip.')
maxBladeTagCount = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 11), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: maxBladeTagCount.setStatus('current')
if mibBuilder.loadTexts: maxBladeTagCount.setDescription('Maximum number of blade tags supported.')
bladeExtensionOverflow = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 12), TruthValue()).setMaxAccess("readonly")
if mibBuilder.loadTexts: bladeExtensionOverflow.setStatus('current')
if mibBuilder.loadTexts: bladeExtensionOverflow.setDescription("Set if the maximum number of supported tags on blade extensions is reached. When this flag is set, new tags on blade extensions won't be discovered anymore until other tags on blade extensions are removed.")
assetStripType = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 13), AssetStripTypeEnumeration()).setMaxAccess("readonly")
if mibBuilder.loadTexts: assetStripType.setStatus('current')
if mibBuilder.loadTexts: assetStripType.setDescription('The asset strip type.')
numberOfComponentAssetStrips = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 14), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: numberOfComponentAssetStrips.setStatus('current')
if mibBuilder.loadTexts: numberOfComponentAssetStrips.setDescription('The number of components building a composite asset strip.')
assetStripDefaultLEDColorConnected = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 15), RGBCOLOR()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: assetStripDefaultLEDColorConnected.setStatus('current')
if mibBuilder.loadTexts: assetStripDefaultLEDColorConnected.setDescription('Default color of all LEDs (RGB) when a tag is connected during automatic operation; in binary format.')
assetStripDefaultLEDColorConnectedStr = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 16), DisplayString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: assetStripDefaultLEDColorConnectedStr.setStatus('current')
if mibBuilder.loadTexts: assetStripDefaultLEDColorConnectedStr.setDescription('Default color of all LEDs (RGB) when a tag is connected during automatic operation; string with 3 hex octets')
assetStripDefaultLEDColorDisconnected = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 17), RGBCOLOR()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: assetStripDefaultLEDColorDisconnected.setStatus('current')
if mibBuilder.loadTexts: assetStripDefaultLEDColorDisconnected.setDescription('Default color of all LEDs (RGB) when no tag is connected during automatic operation; in binary format.')
assetStripDefaultLEDColorDisconnectedStr = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 6, 1, 1, 18), DisplayString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: assetStripDefaultLEDColorDisconnectedStr.setStatus('current')
if mibBuilder.loadTexts: assetStripDefaultLEDColorDisconnectedStr.setDescription('Default color of all LEDs (RGB) when no tag is connected during automatic operation; string with 3 hex octets')
assetManagementTable = MibTable((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1), )
if mibBuilder.loadTexts: assetManagementTable.setStatus('current')
if mibBuilder.loadTexts: assetManagementTable.setDescription('A list of asset management extries containing tag information and LED state. The number of entries is given by the value of rackUnitCount.')
assetManagementEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1), ).setIndexNames((0, "ASSETMANAGEMENT-MIB", "assetStripID"), (0, "ASSETMANAGEMENT-MIB", "rackUnitID"))
if mibBuilder.loadTexts: assetManagementEntry.setStatus('current')
if mibBuilder.loadTexts: assetManagementEntry.setDescription('An entry containing tag information and LED state for a rack unit.')
rackUnitID = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 256)))
if mibBuilder.loadTexts: rackUnitID.setStatus('current')
if mibBuilder.loadTexts: rackUnitID.setDescription('A unique value for each rack unit. Its value ranges between 1 and the value of rackUnitCount.')
ledOperationMode = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1, 2), AssetManagementLEDOperationModeEnumeration()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: ledOperationMode.setStatus('current')
if mibBuilder.loadTexts: ledOperationMode.setDescription('Operation mode of the LED (manual or automatic, based on tag connection).')
ledMode = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1, 3), AssetManagementLEDModeEnumeration()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: ledMode.setStatus('current')
if mibBuilder.loadTexts: ledMode.setDescription('Mode of the LED (on, off, fastBlink,slowBlink). Setting this value automatically switches the ledOperationMode to manual.')
ledColor = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1, 4), RGBCOLOR()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: ledColor.setStatus('current')
if mibBuilder.loadTexts: ledColor.setDescription('Color of the LED (RGB) in binary format. Setting this value automatically switches the ledOperationMode to manual.')
ledColorStr = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1, 5), DisplayString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: ledColorStr.setStatus('current')
if mibBuilder.loadTexts: ledColorStr.setDescription('Color of the LED (RGB) in string format. It contains 3 hex octets for the RGB colors. Setting this value automatically switches the ledOperationMode to manual.')
tagID = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1, 6), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tagID.setStatus('current')
if mibBuilder.loadTexts: tagID.setDescription('Asset management tag attached to the rack unit. Empty in case there is no tag attached.')
tagFamily = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1, 7), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: tagFamily.setStatus('current')
if mibBuilder.loadTexts: tagFamily.setDescription('Family of the asset management tag attached to the rack unit. Empty in case there is no tag attached.')
rackUnitPosition = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1, 8), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 256))).setMaxAccess("readonly")
if mibBuilder.loadTexts: rackUnitPosition.setStatus('current')
if mibBuilder.loadTexts: rackUnitPosition.setDescription('A number associated with each rack unit. Its value depends on the rack unit numbering mode. It ranges between 1 and the value of rackUnitCount. If the asset strip is disconnected, then the value is 0.')
rackUnitType = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1, 9), RackUnitTypeEnumeration()).setMaxAccess("readonly")
if mibBuilder.loadTexts: rackUnitType.setStatus('current')
if mibBuilder.loadTexts: rackUnitType.setDescription('Type of the connected tag (single server or blade extension). If the asset strip is disconnected, then the value is unknown. If the asset tag is disconnected, then the value is none.')
bladeExtensionSize = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 16))).setMaxAccess("readonly")
if mibBuilder.loadTexts: bladeExtensionSize.setStatus('current')
if mibBuilder.loadTexts: bladeExtensionSize.setDescription('In case a blade extension is connected this returns the number of slots on the extension. If the asset strip is disconnected or no blade is connected, then the value is 0.')
rackUnitName = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1, 12), DisplayString()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: rackUnitName.setStatus('current')
if mibBuilder.loadTexts: rackUnitName.setDescription('Name for a specific rackunit, may be feeely chosen.')
assetStripCascadePosition = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1, 13), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 99))).setMaxAccess("readonly")
if mibBuilder.loadTexts: assetStripCascadePosition.setStatus('current')
if mibBuilder.loadTexts: assetStripCascadePosition.setDescription('This is the position of the asset Strip in a cascaded chain. Numbered in ascending order starting with the asset strip connected to the device (EMX/PX). For non-cascaded asset strips, value = 1')
rackUnitRelativePosition = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1, 14), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 99))).setMaxAccess("readonly")
if mibBuilder.loadTexts: rackUnitRelativePosition.setStatus('current')
if mibBuilder.loadTexts: rackUnitRelativePosition.setDescription('This is the relative position of the rackUnit within the assetStrip. For cascaded asset strips such as the AMS-M2-Z and AMS-M3-Z, it is numbered in ascending order starting with the rackunit closest to the asset strip edge with the connector. For non-cascaded asset strips, value = 1')
assetStripNumberOfRackUnits = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 1, 1, 15), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 256))).setMaxAccess("readonly")
if mibBuilder.loadTexts: assetStripNumberOfRackUnits.setStatus('current')
if mibBuilder.loadTexts: assetStripNumberOfRackUnits.setDescription(' For non-cascaded asset strips, value = rackUnitCount For cascaded asset strips, it is the number of rack units in the asset Strip. Examples: 2 forAMS-M2-Z, 3 for AMS-M3-Z. ')
bladeExtensionTable = MibTable((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 2), )
if mibBuilder.loadTexts: bladeExtensionTable.setStatus('current')
if mibBuilder.loadTexts: bladeExtensionTable.setDescription('A list of blade server extension entries containing tag information.')
bladeExtensionEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 2, 1), ).setIndexNames((0, "ASSETMANAGEMENT-MIB", "assetStripID"), (0, "ASSETMANAGEMENT-MIB", "rackUnitID"), (0, "ASSETMANAGEMENT-MIB", "bladeSlotID"))
if mibBuilder.loadTexts: bladeExtensionEntry.setStatus('current')
if mibBuilder.loadTexts: bladeExtensionEntry.setDescription('An entry containing tag information for a blade server extension.')
bladeSlotID = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 16)))
if mibBuilder.loadTexts: bladeSlotID.setStatus('current')
if mibBuilder.loadTexts: bladeSlotID.setDescription('A unique value for each slot on a blade extension.')
bladeTagID = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 2, 1, 2), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: bladeTagID.setStatus('current')
if mibBuilder.loadTexts: bladeTagID.setDescription('Asset management tag attached to a blade extension at the rack unit. Empty in case there is no tag attached.')
bladeSlotPosition = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 1, 7, 2, 1, 3), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 256))).setMaxAccess("readonly")
if mibBuilder.loadTexts: bladeSlotPosition.setStatus('current')
if mibBuilder.loadTexts: bladeSlotPosition.setDescription('A number associated with each blade slot. It ranges between 1 and the value of bladeExtensionSize.')
logConfiguration = MibIdentifier((1, 3, 6, 1, 4, 1, 13742, 7, 3, 1))
logSize = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 3, 1, 1), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: logSize.setStatus('current')
if mibBuilder.loadTexts: logSize.setDescription('The number of entries in the asset management log table.')
oldestLogID = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 3, 1, 2), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: oldestLogID.setStatus('current')
if mibBuilder.loadTexts: oldestLogID.setDescription('The index of the oldest entry in the log table.')
newestLogID = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 3, 1, 3), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: newestLogID.setStatus('current')
if mibBuilder.loadTexts: newestLogID.setDescription('The index of the newest entry in the log table.')
logEventCount = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 3, 1, 4), Integer32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: logEventCount.setStatus('current')
if mibBuilder.loadTexts: logEventCount.setDescription('The total number of logged events.')
assetManagementLogTable = MibTable((1, 3, 6, 1, 4, 1, 13742, 7, 3, 2), )
if mibBuilder.loadTexts: assetManagementLogTable.setStatus('current')
if mibBuilder.loadTexts: assetManagementLogTable.setDescription('A ring buffer containing asset management events.')
assetManagementLogEntry = MibTableRow((1, 3, 6, 1, 4, 1, 13742, 7, 3, 2, 1), ).setIndexNames((0, "ASSETMANAGEMENT-MIB", "logIndex"))
if mibBuilder.loadTexts: assetManagementLogEntry.setStatus('current')
if mibBuilder.loadTexts: assetManagementLogEntry.setDescription('An entry in the asset management log table.')
logIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 3, 2, 1, 1), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 5000)))
if mibBuilder.loadTexts: logIndex.setStatus('current')
if mibBuilder.loadTexts: logIndex.setDescription('The index of an entry in the log ring buffer. Its value ranges between 1 and logSize.')
logTimeStamp = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 3, 2, 1, 2), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: logTimeStamp.setStatus('current')
if mibBuilder.loadTexts: logTimeStamp.setDescription('The time of the log entry in seconds relative to January 1, 1970 00:00 UTC.')
logEventType = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 3, 2, 1, 3), LogEventTypeEnumeration()).setMaxAccess("readonly")
if mibBuilder.loadTexts: logEventType.setStatus('current')
if mibBuilder.loadTexts: logEventType.setDescription('The type of this log entry.')
logAssetStripNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 3, 2, 1, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 256))).setMaxAccess("readonly")
if mibBuilder.loadTexts: logAssetStripNumber.setStatus('current')
if mibBuilder.loadTexts: logAssetStripNumber.setDescription('A unique value for each asset strip. Its value ranges between 1 and the value of assetStripCount.')
logRackUnitNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 3, 2, 1, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 256))).setMaxAccess("readonly")
if mibBuilder.loadTexts: logRackUnitNumber.setStatus('current')
if mibBuilder.loadTexts: logRackUnitNumber.setDescription('A unique value for each rack unit. Its value ranges between 1 and the value of rackUnitCount. It corresponds with rackUnitID, the fixed ordinal index of each rack unit.')
logRackUnitPosition = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 3, 2, 1, 6), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 256))).setMaxAccess("readonly")
if mibBuilder.loadTexts: logRackUnitPosition.setStatus('current')
if mibBuilder.loadTexts: logRackUnitPosition.setDescription('A number associated with each rack unit. Its value depends on the rack unit numbering mode. It ranges between 1 and the value of rackUnitCount. If the asset strip is disconnected, then the value is 0.')
logSlotNumber = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 3, 2, 1, 7), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 16))).setMaxAccess("readonly")
if mibBuilder.loadTexts: logSlotNumber.setStatus('current')
if mibBuilder.loadTexts: logSlotNumber.setDescription('A unique value for each slot on a blade extension. Value of 0 indicates a tag on the main strip. If the asset strip is disconnected, the value is 0 as well. Use logEventType to distinguish the validity.')
logTagID = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 3, 2, 1, 8), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: logTagID.setStatus('current')
if mibBuilder.loadTexts: logTagID.setDescription('Asset management tag attached to the rack unit. Empty in case there is no tag attached.')
logAssetStripState = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 3, 2, 1, 9), AssetStripStateEnumeration()).setMaxAccess("readonly")
if mibBuilder.loadTexts: logAssetStripState.setStatus('current')
if mibBuilder.loadTexts: logAssetStripState.setDescription('Asset management strip state.')
logParentBladeID = MibTableColumn((1, 3, 6, 1, 4, 1, 13742, 7, 3, 2, 1, 10), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: logParentBladeID.setStatus('current')
if mibBuilder.loadTexts: logParentBladeID.setDescription('In case the tag is attached to a blade extension, this indicates the tagID of the extension. Empty in case there is no tag attached or the tag is attached on the main strip.')
deviceName = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 0, 0, 1), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: deviceName.setStatus('current')
if mibBuilder.loadTexts: deviceName.setDescription('The user-defined name for the Device.')
deviceInetAddressType = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 0, 0, 2), InetAddressType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: deviceInetAddressType.setStatus('current')
if mibBuilder.loadTexts: deviceInetAddressType.setDescription('The type of address format')
deviceInetIPAddress = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 0, 0, 3), InetAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: deviceInetIPAddress.setStatus('current')
if mibBuilder.loadTexts: deviceInetIPAddress.setDescription('The current IP address. A value of 0.0.0.0 indicates an error or an unset option.')
assetStripNumber = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 0, 0, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 256))).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: assetStripNumber.setStatus('current')
if mibBuilder.loadTexts: assetStripNumber.setDescription('A unique value for each asset strip. Its value ranges between 1 and the value of assetStripCount.')
rackUnitNumber = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 0, 0, 5), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 256))).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: rackUnitNumber.setStatus('current')
if mibBuilder.loadTexts: rackUnitNumber.setDescription('A unique value for each rack unit. Its value ranges between 1 and the value of rackUnitCount. It corresponds with rackUnitID, the fixed ordinal index of each rack unit.')
assetStripFirmwareUpdateState = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 0, 0, 6), AssetStripFirmwareUpdateStateEnumeration()).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: assetStripFirmwareUpdateState.setStatus('current')
if mibBuilder.loadTexts: assetStripFirmwareUpdateState.setDescription('The new asset strip firmware update state.')
deviceUserName = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 0, 0, 7), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: deviceUserName.setStatus('current')
if mibBuilder.loadTexts: deviceUserName.setDescription('The user currently logged in.')
deviceChangedParameter = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 0, 0, 8), DeviceConfigurationParameterEnumeration()).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: deviceChangedParameter.setStatus('current')
if mibBuilder.loadTexts: deviceChangedParameter.setDescription('Description of the parameter(s) that changed. ')
changedParameterNewValue = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 0, 0, 9), DisplayString()).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: changedParameterNewValue.setStatus('current')
if mibBuilder.loadTexts: changedParameterNewValue.setDescription('The new value of the changed parameter.')
slotNumber = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 0, 0, 10), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 16))).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: slotNumber.setStatus('current')
if mibBuilder.loadTexts: slotNumber.setDescription('A unique value for each slot on a blade extension. Value of 0 indicates a tag on the main strip.')
oldNumberOfComponentAssetStrips = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 0, 0, 11), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 255))).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: oldNumberOfComponentAssetStrips.setStatus('current')
if mibBuilder.loadTexts: oldNumberOfComponentAssetStrips.setDescription('The old number of components building a composite asset strip.')
agentInetPortNumber = MibScalar((1, 3, 6, 1, 4, 1, 13742, 7, 0, 0, 12), InetPortNumber()).setMaxAccess("accessiblefornotify")
if mibBuilder.loadTexts: agentInetPortNumber.setStatus('current')
if mibBuilder.loadTexts: agentInetPortNumber.setDescription('The UDP port number used for accessing the SNMP agent on the device. Examples: If the associated device MIB (PX2-MIB, EMD-MIB) has deviceCascadeType set to portForwarding, then master: 50500 slave 1:50501 slave 2: 50502 ...... If cascading mode is not portForwarding and default (Standard) ports are being used, then port: 161 ')
assetTagConnected = NotificationType((1, 3, 6, 1, 4, 1, 13742, 7, 0, 1)).setObjects(("ASSETMANAGEMENT-MIB", "deviceName"), ("SNMPv2-MIB", "sysContact"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("ASSETMANAGEMENT-MIB", "deviceInetAddressType"), ("ASSETMANAGEMENT-MIB", "deviceInetIPAddress"), ("ASSETMANAGEMENT-MIB", "agentInetPortNumber"), ("ASSETMANAGEMENT-MIB", "assetStripNumber"), ("ASSETMANAGEMENT-MIB", "assetStripName"), ("ASSETMANAGEMENT-MIB", "rackUnitNumber"), ("ASSETMANAGEMENT-MIB", "rackUnitPosition"), ("ASSETMANAGEMENT-MIB", "rackUnitName"), ("ASSETMANAGEMENT-MIB", "slotNumber"), ("ASSETMANAGEMENT-MIB", "tagID"), ("ASSETMANAGEMENT-MIB", "bladeTagID"), ("ASSETMANAGEMENT-MIB", "ledColor"), ("ASSETMANAGEMENT-MIB", "ledMode"), ("ASSETMANAGEMENT-MIB", "ledOperationMode"), ("ASSETMANAGEMENT-MIB", "rackUnitCount"), ("ASSETMANAGEMENT-MIB", "assetStripType"), ("ASSETMANAGEMENT-MIB", "assetStripCascadePosition"), ("ASSETMANAGEMENT-MIB", "rackUnitRelativePosition"), ("ASSETMANAGEMENT-MIB", "assetStripNumberOfRackUnits"))
if mibBuilder.loadTexts: assetTagConnected.setStatus('current')
if mibBuilder.loadTexts: assetTagConnected.setDescription('The asset tag of a rack unit was connected. bladeTagID is empty if the asset tag is not on a blade extension.')
assetTagDisconnected = NotificationType((1, 3, 6, 1, 4, 1, 13742, 7, 0, 2)).setObjects(("ASSETMANAGEMENT-MIB", "deviceName"), ("SNMPv2-MIB", "sysContact"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("ASSETMANAGEMENT-MIB", "deviceInetAddressType"), ("ASSETMANAGEMENT-MIB", "deviceInetIPAddress"), ("ASSETMANAGEMENT-MIB", "agentInetPortNumber"), ("ASSETMANAGEMENT-MIB", "assetStripNumber"), ("ASSETMANAGEMENT-MIB", "assetStripName"), ("ASSETMANAGEMENT-MIB", "rackUnitNumber"), ("ASSETMANAGEMENT-MIB", "rackUnitPosition"), ("ASSETMANAGEMENT-MIB", "rackUnitName"), ("ASSETMANAGEMENT-MIB", "slotNumber"), ("ASSETMANAGEMENT-MIB", "tagID"), ("ASSETMANAGEMENT-MIB", "bladeTagID"), ("ASSETMANAGEMENT-MIB", "ledColor"), ("ASSETMANAGEMENT-MIB", "ledMode"), ("ASSETMANAGEMENT-MIB", "ledOperationMode"), ("ASSETMANAGEMENT-MIB", "rackUnitCount"), ("ASSETMANAGEMENT-MIB", "assetStripType"), ("ASSETMANAGEMENT-MIB", "assetStripCascadePosition"), ("ASSETMANAGEMENT-MIB", "rackUnitRelativePosition"), ("ASSETMANAGEMENT-MIB", "assetStripNumberOfRackUnits"))
if mibBuilder.loadTexts: assetTagDisconnected.setStatus('current')
if mibBuilder.loadTexts: assetTagDisconnected.setDescription('The asset tag of a rack unit was disconnected. bladeTagID is empty if the asset tag is not on a blade extension.')
assetStripStateChange = NotificationType((1, 3, 6, 1, 4, 1, 13742, 7, 0, 3)).setObjects(("ASSETMANAGEMENT-MIB", "deviceName"), ("SNMPv2-MIB", "sysContact"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("ASSETMANAGEMENT-MIB", "deviceInetAddressType"), ("ASSETMANAGEMENT-MIB", "deviceInetIPAddress"), ("ASSETMANAGEMENT-MIB", "agentInetPortNumber"), ("ASSETMANAGEMENT-MIB", "assetStripNumber"), ("ASSETMANAGEMENT-MIB", "assetStripName"), ("ASSETMANAGEMENT-MIB", "assetStripState"), ("ASSETMANAGEMENT-MIB", "rackUnitCount"))
if mibBuilder.loadTexts: assetStripStateChange.setStatus('current')
if mibBuilder.loadTexts: assetStripStateChange.setDescription('The asset strip unit changed its state.')
assetStripFirmwareUpdate = NotificationType((1, 3, 6, 1, 4, 1, 13742, 7, 0, 4)).setObjects(("ASSETMANAGEMENT-MIB", "deviceName"), ("SNMPv2-MIB", "sysContact"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("ASSETMANAGEMENT-MIB", "deviceInetAddressType"), ("ASSETMANAGEMENT-MIB", "deviceInetIPAddress"), ("ASSETMANAGEMENT-MIB", "agentInetPortNumber"), ("ASSETMANAGEMENT-MIB", "assetStripNumber"), ("ASSETMANAGEMENT-MIB", "assetStripName"), ("ASSETMANAGEMENT-MIB", "assetStripFirmwareUpdateState"))
if mibBuilder.loadTexts: assetStripFirmwareUpdate.setStatus('current')
if mibBuilder.loadTexts: assetStripFirmwareUpdate.setDescription('Asset strip firmware update state change.')
deviceConfigurationChanged = NotificationType((1, 3, 6, 1, 4, 1, 13742, 7, 0, 5)).setObjects(("ASSETMANAGEMENT-MIB", "deviceName"), ("SNMPv2-MIB", "sysContact"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("ASSETMANAGEMENT-MIB", "deviceInetAddressType"), ("ASSETMANAGEMENT-MIB", "deviceInetIPAddress"), ("ASSETMANAGEMENT-MIB", "agentInetPortNumber"), ("ASSETMANAGEMENT-MIB", "deviceUserName"), ("ASSETMANAGEMENT-MIB", "assetStripNumber"), ("ASSETMANAGEMENT-MIB", "assetStripName"), ("ASSETMANAGEMENT-MIB", "deviceChangedParameter"), ("ASSETMANAGEMENT-MIB", "changedParameterNewValue"))
if mibBuilder.loadTexts: deviceConfigurationChanged.setStatus('current')
if mibBuilder.loadTexts: deviceConfigurationChanged.setDescription('Assetstrip configuration has changed')
rackUnitConfigurationChanged = NotificationType((1, 3, 6, 1, 4, 1, 13742, 7, 0, 6)).setObjects(("ASSETMANAGEMENT-MIB", "deviceName"), ("SNMPv2-MIB", "sysContact"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("ASSETMANAGEMENT-MIB", "deviceInetAddressType"), ("ASSETMANAGEMENT-MIB", "deviceInetIPAddress"), ("ASSETMANAGEMENT-MIB", "agentInetPortNumber"), ("ASSETMANAGEMENT-MIB", "deviceUserName"), ("ASSETMANAGEMENT-MIB", "assetStripNumber"), ("ASSETMANAGEMENT-MIB", "assetStripName"), ("ASSETMANAGEMENT-MIB", "rackUnitNumber"), ("ASSETMANAGEMENT-MIB", "rackUnitPosition"), ("ASSETMANAGEMENT-MIB", "rackUnitName"), ("ASSETMANAGEMENT-MIB", "ledColor"), ("ASSETMANAGEMENT-MIB", "ledMode"), ("ASSETMANAGEMENT-MIB", "ledOperationMode"))
if mibBuilder.loadTexts: rackUnitConfigurationChanged.setStatus('current')
if mibBuilder.loadTexts: rackUnitConfigurationChanged.setDescription('Assetstrip configuration has changed')
bladeExtensionConnected = NotificationType((1, 3, 6, 1, 4, 1, 13742, 7, 0, 7)).setObjects(("ASSETMANAGEMENT-MIB", "deviceName"), ("SNMPv2-MIB", "sysContact"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("ASSETMANAGEMENT-MIB", "deviceInetAddressType"), ("ASSETMANAGEMENT-MIB", "deviceInetIPAddress"), ("ASSETMANAGEMENT-MIB", "agentInetPortNumber"), ("ASSETMANAGEMENT-MIB", "assetStripNumber"), ("ASSETMANAGEMENT-MIB", "assetStripName"), ("ASSETMANAGEMENT-MIB", "rackUnitNumber"), ("ASSETMANAGEMENT-MIB", "rackUnitPosition"), ("ASSETMANAGEMENT-MIB", "rackUnitName"), ("ASSETMANAGEMENT-MIB", "tagID"), ("ASSETMANAGEMENT-MIB", "bladeExtensionSize"), ("ASSETMANAGEMENT-MIB", "ledColor"), ("ASSETMANAGEMENT-MIB", "ledMode"), ("ASSETMANAGEMENT-MIB", "ledOperationMode"), ("ASSETMANAGEMENT-MIB", "rackUnitCount"), ("ASSETMANAGEMENT-MIB", "assetStripType"), ("ASSETMANAGEMENT-MIB", "assetStripCascadePosition"), ("ASSETMANAGEMENT-MIB", "rackUnitRelativePosition"), ("ASSETMANAGEMENT-MIB", "assetStripNumberOfRackUnits"))
if mibBuilder.loadTexts: bladeExtensionConnected.setStatus('current')
if mibBuilder.loadTexts: bladeExtensionConnected.setDescription('A blade extension has been connected to the rackunit.')
bladeExtensionDisconnected = NotificationType((1, 3, 6, 1, 4, 1, 13742, 7, 0, 8)).setObjects(("ASSETMANAGEMENT-MIB", "deviceName"), ("SNMPv2-MIB", "sysContact"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("ASSETMANAGEMENT-MIB", "deviceInetAddressType"), ("ASSETMANAGEMENT-MIB", "deviceInetIPAddress"), ("ASSETMANAGEMENT-MIB", "agentInetPortNumber"), ("ASSETMANAGEMENT-MIB", "assetStripNumber"), ("ASSETMANAGEMENT-MIB", "assetStripName"), ("ASSETMANAGEMENT-MIB", "rackUnitNumber"), ("ASSETMANAGEMENT-MIB", "rackUnitPosition"), ("ASSETMANAGEMENT-MIB", "rackUnitName"), ("ASSETMANAGEMENT-MIB", "tagID"), ("ASSETMANAGEMENT-MIB", "bladeExtensionSize"), ("ASSETMANAGEMENT-MIB", "ledColor"), ("ASSETMANAGEMENT-MIB", "ledMode"), ("ASSETMANAGEMENT-MIB", "ledOperationMode"), ("ASSETMANAGEMENT-MIB", "rackUnitCount"), ("ASSETMANAGEMENT-MIB", "assetStripType"), ("ASSETMANAGEMENT-MIB", "assetStripCascadePosition"), ("ASSETMANAGEMENT-MIB", "rackUnitRelativePosition"), ("ASSETMANAGEMENT-MIB", "assetStripNumberOfRackUnits"))
if mibBuilder.loadTexts: bladeExtensionDisconnected.setStatus('current')
if mibBuilder.loadTexts: bladeExtensionDisconnected.setDescription('A blade extension has been disconnected from the rackunit.')
bladeExtensionOverflowOccured = NotificationType((1, 3, 6, 1, 4, 1, 13742, 7, 0, 9)).setObjects(("ASSETMANAGEMENT-MIB", "deviceName"), ("SNMPv2-MIB", "sysContact"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("ASSETMANAGEMENT-MIB", "deviceInetAddressType"), ("ASSETMANAGEMENT-MIB", "deviceInetIPAddress"), ("ASSETMANAGEMENT-MIB", "agentInetPortNumber"), ("ASSETMANAGEMENT-MIB", "assetStripNumber"), ("ASSETMANAGEMENT-MIB", "assetStripName"))
if mibBuilder.loadTexts: bladeExtensionOverflowOccured.setStatus('current')
if mibBuilder.loadTexts: bladeExtensionOverflowOccured.setDescription("Maximum number of supported tags on blade extension was reached. The asset strip won't detect any new tags on blade extensions until some are removed.")
bladeExtensionOverflowCleared = NotificationType((1, 3, 6, 1, 4, 1, 13742, 7, 0, 10)).setObjects(("ASSETMANAGEMENT-MIB", "deviceName"), ("SNMPv2-MIB", "sysContact"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("ASSETMANAGEMENT-MIB", "deviceInetAddressType"), ("ASSETMANAGEMENT-MIB", "deviceInetIPAddress"), ("ASSETMANAGEMENT-MIB", "agentInetPortNumber"), ("ASSETMANAGEMENT-MIB", "assetStripNumber"), ("ASSETMANAGEMENT-MIB", "assetStripName"))
if mibBuilder.loadTexts: bladeExtensionOverflowCleared.setStatus('current')
if mibBuilder.loadTexts: bladeExtensionOverflowCleared.setDescription('Free space for new tags on blade extensions is available again.')
compositeAssetStripCompositionChanged = NotificationType((1, 3, 6, 1, 4, 1, 13742, 7, 0, 11)).setObjects(("ASSETMANAGEMENT-MIB", "deviceName"), ("SNMPv2-MIB", "sysContact"), ("SNMPv2-MIB", "sysName"), ("SNMPv2-MIB", "sysLocation"), ("ASSETMANAGEMENT-MIB", "deviceInetAddressType"), ("ASSETMANAGEMENT-MIB", "deviceInetIPAddress"), ("ASSETMANAGEMENT-MIB", "agentInetPortNumber"), ("ASSETMANAGEMENT-MIB", "assetStripNumber"), ("ASSETMANAGEMENT-MIB", "assetStripName"), ("ASSETMANAGEMENT-MIB", "oldNumberOfComponentAssetStrips"), ("ASSETMANAGEMENT-MIB", "numberOfComponentAssetStrips"))
if mibBuilder.loadTexts: compositeAssetStripCompositionChanged.setStatus('current')
if mibBuilder.loadTexts: compositeAssetStripCompositionChanged.setDescription('The composition of an composite asset strip changed.')
mibBuilder.exportSymbols("ASSETMANAGEMENT-MIB", bladeExtensionConnected=bladeExtensionConnected, logParentBladeID=logParentBladeID, assetManagement=assetManagement, assetStripFirmwareUpdate=assetStripFirmwareUpdate, assetStripDefaultLEDColorDisconnected=assetStripDefaultLEDColorDisconnected, deviceUserName=deviceUserName, compositeAssetStripCompositionChanged=compositeAssetStripCompositionChanged, compliances=compliances, assetStripConfigurationEntry=assetStripConfigurationEntry, logAssetStripNumber=logAssetStripNumber, rackUnitType=rackUnitType, rackUnitConfigurationChanged=rackUnitConfigurationChanged, assetStripDefaultLEDColorDisconnectedStr=assetStripDefaultLEDColorDisconnectedStr, logIndex=logIndex, assetManager=assetManager, assetStripNumberOfRackUnits=assetStripNumberOfRackUnits, assetStripName=assetStripName, defaultLEDColorDisconnectedStr=defaultLEDColorDisconnectedStr, AssetStripFirmwareUpdateStateEnumeration=AssetStripFirmwareUpdateStateEnumeration, rackUnitCount=rackUnitCount, numberOfComponentAssetStrips=numberOfComponentAssetStrips, assetTagConnected=assetTagConnected, configGroup2=configGroup2, traps=traps, LogEventTypeEnumeration=LogEventTypeEnumeration, oldestLogID=oldestLogID, logGroup=logGroup, rackUnitName=rackUnitName, ledMode=ledMode, assetManagementLogEntry=assetManagementLogEntry, trapInformationGroup=trapInformationGroup, complianceRev2=complianceRev2, currentMainTagCount=currentMainTagCount, currentBladeTagCount=currentBladeTagCount, bladeExtensionDisconnected=bladeExtensionDisconnected, logEventCount=logEventCount, conformance=conformance, maxMainTagCount=maxMainTagCount, bladeSlotID=bladeSlotID, logSize=logSize, bladeExtensionOverflow=bladeExtensionOverflow, defaultLEDColorConnectedStr=defaultLEDColorConnectedStr, raritan=raritan, assetManagementLogTable=assetManagementLogTable, ledOperationMode=ledOperationMode, assetManagementGroup=assetManagementGroup, AssetManagementLEDModeEnumeration=AssetManagementLEDModeEnumeration, RackUnitNumberingModeEnumeration=RackUnitNumberingModeEnumeration, bladeSlotPosition=bladeSlotPosition, configuration=configuration, assetStripStateChange=assetStripStateChange, defaultLEDColorConnected=defaultLEDColorConnected, assetStripID=assetStripID, assetStripType=assetStripType, tagFamily=tagFamily, logRackUnitNumber=logRackUnitNumber, deviceInetIPAddress=deviceInetIPAddress, rackUnitNumberingOffset=rackUnitNumberingOffset, assetStripConfigurationTable=assetStripConfigurationTable, assetStripState=assetStripState, assetManagementTable=assetManagementTable, assetTagDisconnected=assetTagDisconnected, configGroup=configGroup, assetStrip=assetStrip, slotNumber=slotNumber, log=log, assetStripDefaultLEDColorConnectedStr=assetStripDefaultLEDColorConnectedStr, logTimeStamp=logTimeStamp, deviceName=deviceName, logSlotNumber=logSlotNumber, RackUnitTypeEnumeration=RackUnitTypeEnumeration, trapsGroup=trapsGroup, AssetStripTypeEnumeration=AssetStripTypeEnumeration, assetStripDefaultLEDColorConnected=assetStripDefaultLEDColorConnected, tagID=tagID, logAssetStripState=logAssetStripState, PYSNMP_MODULE_ID=raritan, trapInformation=trapInformation, logEventType=logEventType, bladeTagID=bladeTagID, rackUnitID=rackUnitID, deviceInetAddressType=deviceInetAddressType, bladeExtensionEntry=bladeExtensionEntry, rackUnitNumberingMode=rackUnitNumberingMode, bladeExtensionSize=bladeExtensionSize, logConfiguration=logConfiguration, bladeExtensionOverflowOccured=bladeExtensionOverflowOccured, newestLogID=newestLogID, deviceConfigurationChanged=deviceConfigurationChanged, rackUnitRelativePosition=rackUnitRelativePosition, assetStripCascadePosition=assetStripCascadePosition, agentInetPortNumber=agentInetPortNumber, maxBladeTagCount=maxBladeTagCount, assetStripOrientation=assetStripOrientation, logTagID=logTagID, rackUnitNumber=rackUnitNumber, RGBCOLOR=RGBCOLOR, assetStripNumber=assetStripNumber, bladeExtensionTable=bladeExtensionTable, ledColor=ledColor, oldNumberOfComponentAssetStrips=oldNumberOfComponentAssetStrips, deviceChangedParameter=deviceChangedParameter, defaultLEDColorDisconnected=defaultLEDColorDisconnected, changedParameterNewValue=changedParameterNewValue, complianceRev1=complianceRev1, logRackUnitPosition=logRackUnitPosition, AssetStripOrientationEnumeration=AssetStripOrientationEnumeration, assetStripFirmwareUpdateState=assetStripFirmwareUpdateState, groups=groups, rackUnitPosition=rackUnitPosition, AssetManagementLEDOperationModeEnumeration=AssetManagementLEDOperationModeEnumeration, assetStripCount=assetStripCount, assetManagementEntry=assetManagementEntry, DeviceConfigurationParameterEnumeration=DeviceConfigurationParameterEnumeration, ledColorStr=ledColorStr, bladeExtensionOverflowCleared=bladeExtensionOverflowCleared, AssetStripStateEnumeration=AssetStripStateEnumeration)
| 157.773537
| 5,190
| 0.784856
|
8be140e08c2dfb6a0ad53e343aaf11199164a255
| 487
|
py
|
Python
|
secret.py
|
yoyu777/Poll-Bot
|
db239b42c5c5e1af38a7c0a12b977c38949f0724
|
[
"MIT"
] | null | null | null |
secret.py
|
yoyu777/Poll-Bot
|
db239b42c5c5e1af38a7c0a12b977c38949f0724
|
[
"MIT"
] | null | null | null |
secret.py
|
yoyu777/Poll-Bot
|
db239b42c5c5e1af38a7c0a12b977c38949f0724
|
[
"MIT"
] | null | null | null |
# Import the Secret Manager client library.
from google.cloud import secretmanager
# Create the Secret Manager client.
secretmanager_client = secretmanager.SecretManagerServiceClient()
| 34.785714
| 74
| 0.804928
|
8be594b734f337508a46bc13ebf1d32d3f8e6f53
| 1,663
|
py
|
Python
|
Bot/extensions/moderation/ban.py
|
ChrissisCodeXD/Hikari-TestProject
|
236c8fc9081172d9edff6d629e5d11c5abe64205
|
[
"MIT"
] | null | null | null |
Bot/extensions/moderation/ban.py
|
ChrissisCodeXD/Hikari-TestProject
|
236c8fc9081172d9edff6d629e5d11c5abe64205
|
[
"MIT"
] | null | null | null |
Bot/extensions/moderation/ban.py
|
ChrissisCodeXD/Hikari-TestProject
|
236c8fc9081172d9edff6d629e5d11c5abe64205
|
[
"MIT"
] | null | null | null |
from imports import *
ban_plugin = lightbulb.Plugin("moderation.ban")
ban_plugin.add_checks(
lightbulb.checks.guild_only,
lightbulb.checks.bot_has_guild_permissions(hikari.Permissions.BAN_MEMBERS),
lightbulb.checks.has_guild_permissions(hikari.Permissions.BAN_MEMBERS),
)
| 33.938776
| 119
| 0.719784
|
8be59cb6314fe38c5f76d083bb061587be243807
| 2,043
|
py
|
Python
|
trend_analyze/test/test_fecth_data_from_api.py
|
popper2710/Trend_Analyze
|
0c98bcd7986bdb2d2b9bdc8022bfa08ddf0e7b0f
|
[
"MIT"
] | null | null | null |
trend_analyze/test/test_fecth_data_from_api.py
|
popper2710/Trend_Analyze
|
0c98bcd7986bdb2d2b9bdc8022bfa08ddf0e7b0f
|
[
"MIT"
] | 2
|
2020-09-26T14:58:33.000Z
|
2021-03-31T20:01:40.000Z
|
trend_analyze/test/test_fecth_data_from_api.py
|
popper2710/Trend_Analyze
|
0c98bcd7986bdb2d2b9bdc8022bfa08ddf0e7b0f
|
[
"MIT"
] | null | null | null |
import unittest
from trend_analyze.config import *
from trend_analyze.src.model import *
from trend_analyze.src.fetch_data_from_api import ApiTwitterFetcher
if __name__ == '__main__':
unittest.main()
| 32.951613
| 87
| 0.698972
|
8be760a4114acf5a4db49d05c1ef322eef5d00e1
| 1,779
|
py
|
Python
|
leetcode/easy/compare-version-numbers.py
|
rainzhop/cumulus-tank
|
09ebc7858ea53630e30606945adfea856a80faa3
|
[
"MIT"
] | null | null | null |
leetcode/easy/compare-version-numbers.py
|
rainzhop/cumulus-tank
|
09ebc7858ea53630e30606945adfea856a80faa3
|
[
"MIT"
] | null | null | null |
leetcode/easy/compare-version-numbers.py
|
rainzhop/cumulus-tank
|
09ebc7858ea53630e30606945adfea856a80faa3
|
[
"MIT"
] | null | null | null |
# https://leetcode.com/problems/compare-version-numbers/
#
# Compare two version numbers version1 and version2.
# If version1 > version2 return 1, if version1 < version2 return -1, otherwise return 0.
#
# You may assume that the version strings are non-empty and contain only digits and the . character.
# The . character does not represent a decimal point and is used to separate number sequences.
# For instance, 2.5 is not "two and a half" or "half way to version three",
# it is the fifth second-level revision of the second first-level revision.
#
# Here is an example of version numbers ordering:
# 0.1 < 1.1 < 1.2 < 13.37
#
# Credits:
# Special thanks to @ts for adding this problem and creating all test cases.
| 30.152542
| 100
| 0.518269
|
8be7873229c136c3351120aeb123d5e799820294
| 710
|
py
|
Python
|
utils.py
|
florenthemmi/ips-by-country
|
2f63ec2108ceaae97221de52654753c545733d84
|
[
"MIT"
] | 1
|
2021-05-24T06:16:49.000Z
|
2021-05-24T06:16:49.000Z
|
utils.py
|
florenthemmi/ips-by-country
|
2f63ec2108ceaae97221de52654753c545733d84
|
[
"MIT"
] | null | null | null |
utils.py
|
florenthemmi/ips-by-country
|
2f63ec2108ceaae97221de52654753c545733d84
|
[
"MIT"
] | null | null | null |
from datetime import datetime
from config import CIDR_MAX_SUBNETS
| 26.296296
| 71
| 0.640845
|
8be7899428e46960e100ad08d01429e3242a6f7d
| 4,897
|
py
|
Python
|
keats_crawler/crawl.py
|
mannmann2/keats-crawler
|
9fc108b75e63bf3dfac0c18ed2f0bec84d003c14
|
[
"MIT"
] | 8
|
2021-01-21T19:34:59.000Z
|
2022-02-14T23:09:48.000Z
|
keats_crawler/crawl.py
|
mannmann2/keats-crawler
|
9fc108b75e63bf3dfac0c18ed2f0bec84d003c14
|
[
"MIT"
] | null | null | null |
keats_crawler/crawl.py
|
mannmann2/keats-crawler
|
9fc108b75e63bf3dfac0c18ed2f0bec84d003c14
|
[
"MIT"
] | 1
|
2021-12-27T11:09:44.000Z
|
2021-12-27T11:09:44.000Z
|
"""Main module."""
from config import *
import os
import re
from threading import Thread
import requests
from urllib.parse import unquote
from bs4 import BeautifulSoup
from m3u8downloader.main import M3u8Downloader
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
VIDEO_DICT = {}
PATH = f'{PATH}{MODULE}/'
if not os.path.exists(PATH):
print('Creating directory at', PATH)
os.makedirs(PATH)
options = Options()
if HEADLESS:
options.add_argument("--headless")
driver = webdriver.Chrome(PATH_TO_CHROMEDRIVER, options=options)
if __name__ == '__main__':
run()
| 27.357542
| 150
| 0.588115
|
8be7a3c80ff1ca3e87607f2cacd6a9420c5e831e
| 7,305
|
py
|
Python
|
logging_with_arcpy.py
|
Kortforsyningen/logging-with-arcpy
|
b227aea9c377ca6e98b2c398d294c08bce506f84
|
[
"MIT"
] | 1
|
2022-03-03T13:20:12.000Z
|
2022-03-03T13:20:12.000Z
|
logging_with_arcpy.py
|
Kortforsyningen/logging-with-arcpy
|
b227aea9c377ca6e98b2c398d294c08bce506f84
|
[
"MIT"
] | null | null | null |
logging_with_arcpy.py
|
Kortforsyningen/logging-with-arcpy
|
b227aea9c377ca6e98b2c398d294c08bce506f84
|
[
"MIT"
] | 1
|
2022-03-30T11:33:43.000Z
|
2022-03-30T11:33:43.000Z
|
# -*- coding: utf-8 -*-
"""
This module allows Python's logging module and Esri's ArcMap tools to play nicely together.
Everything here works with the root logger, there is currently no functionality to work with multiple loggers.
The standard logging.basicConfig() doesn't work out of the box in ArcMap tools, because the logging session lives
throughout the ArcMap session, and isn't restarted with every tool invocation. init_logging() can be used instead of
basicConfig(), and takes care of this issue by performing the necessary (re)initialisations.
Furthermore, flush_and_close_logger() should be called at the end of each script, to ensure that all output is flushed
when the script terminates. For the same reason mentioned above, some logging output may be delayed otherwise.
Finally, the ArcPyLogHandler class (mostly adopted from
http://gis.stackexchange.com/questions/135920/arcpy-logging-error-messages) allows the logging module to send output to
ArcMap's tool output window, using arcpy.AddMessage(), etc.
TODO:
- ArcPyLogHandler currently creates an empty file as given in input. If it isn't used, it shouldn't be created.
Created by: Hanne L. Petersen <halpe@sdfe.dk>
Created on: 2016-08-26
"""
import os
import socket
import logging
import logging.handlers
import arcpy
def init_logging(filename="log.txt", level=logging.INFO, fmt="", datefmt='%d-%m-%Y %H:%M', mode='a'):
"""
Initialise a useful logging session. For ArcMap tools, logging.basicConfig probably won't do what you want... (details below)
Use fmt="%(asctime)s %(message)s" to log without user and computer name.
If filename is a relative path, it will be relative to C:\Windows\System32 for tools called from an ArcMap toolbox.
So just use absolute paths...
Note that if you're using the logging module from inside ArcMap, e.g. from a tool in a toolbox, your logging session
will survive within the ArcMap session! In addition, the logging.basicConfig() function is intended to be run only
once ("only the first call will actually do anything: subsequent calls are effectively no-ops", from
https://docs.python.org/2/howto/logging.html#logging-advanced-tutorial)
I.e., you may have two tools that write to different log files - this won't work if you run both tools from the same
ArcMap session, and you do it the naive way.
Or if you run a tool several times inside the same ArcMap session, calling basicConfig WILL DO NOTHING. I.e.
debugging sucks big time.
In ArcMap you probably want to run flush_and_close_logger() at the end of your script, otherwise output can
sometimes be delayed.
Other format placeholders can be found in https://docs.python.org/2/library/logging.html#logrecord-attributes
TODO: The proper way for this module might be something with inheritance or subclassing...
"""
# Some useful snippets for copy-pasting when debugging:
# import logging
# root_logger = logging.getLogger()
# h = root_logger.handlers[0]
# root_logger.removeHandler(h)
# print([h.baseFilename for h in root_logger.handlers])
if fmt == '':
# Default format prepend user name and computer name.
# http://stackoverflow.com/questions/799767/getting-name-of-windows-computer-running-python-script?answertab=active#tab-top
fmt = "%(asctime)s {} {} %(message)s".format(os.getenv('USERNAME'), socket.gethostname().upper())
root_logger = logging.getLogger()
# Need to run regular basicConfig first - seems like it does something we need...
# Whatever logging level is set to a restrictive level here, it will persist throughout (looks like a bug).
# If it's set to a low level here (or NOTSET), it seems to work fine, respecting what's set later.
# The filename is replaced properly later.
logging.basicConfig(level=logging.NOTSET)
# Start by removing all existing handlers from the root logger
# Remove from the back, to avoid the indexes going haywire
for i in range(len(root_logger.handlers)-1, -1, -1):
root_logger.removeHandler(root_logger.handlers[i])
# Then set up the new handler with appropriate formatter
# https://docs.python.org/2/library/logging.handlers.html#logging.FileHandler
add_handler(logging.FileHandler(filename, mode=mode, encoding=None, delay=False), level=level)
def add_handler(h, level=logging.INFO, fmt="", datefmt='%d-%m-%Y %H:%M'):
"""Add a handler."""
root_logger = logging.getLogger()
if fmt == '':
fmt = "%(asctime)s {} {} %(message)s".format(os.getenv('USERNAME'), socket.gethostname().upper())
# Prep the Formatter, and add it
# https://docs.python.org/2/library/logging.html#logging.Formatter
f = logging.Formatter(fmt, datefmt)
# Add the level and formatter to the handler
# https://docs.python.org/2/library/logging.handlers.html#logging.FileHandler
# https://docs.python.org/2/library/logging.html#handler-objects
h.setLevel(level)
h.setFormatter(f)
root_logger.addHandler(h)
def flush_and_close_logger():
"""From ArcMap there seem to be some problems with flushing, and this seems to help..."""
for h in logging.getLogger().handlers:
h.flush()
logging.shutdown()
def _logging_is_active():
"""Check if a logging session has been initiated (e.g. with logging.basicConfig())."""
# http://stackoverflow.com/questions/26017073/how-to-get-filename-from-a-python-logger
return len(logging.getLogger().handlers) > 0
# end class ArcPyLogHandler
| 46.826923
| 132
| 0.699384
|
8be7ac2245946060119cdd1d1ac823a02f85034d
| 892
|
py
|
Python
|
bot.py
|
fangyi-zhou/renamer
|
ec1215f7afea1c942116a37bdd2a5fcbabee6e94
|
[
"Unlicense"
] | null | null | null |
bot.py
|
fangyi-zhou/renamer
|
ec1215f7afea1c942116a37bdd2a5fcbabee6e94
|
[
"Unlicense"
] | null | null | null |
bot.py
|
fangyi-zhou/renamer
|
ec1215f7afea1c942116a37bdd2a5fcbabee6e94
|
[
"Unlicense"
] | null | null | null |
import os
import re
import discord
from dotenv import load_dotenv
load_dotenv()
TOKEN = os.getenv("DISCORD_TOKEN")
RENAME_REGEX = re.compile(r"^[Ii]'m (\w+)$")
if TOKEN is None:
raise RuntimeError("Bot TOKEN not set")
client = discord.Client()
client.run(TOKEN)
| 21.756098
| 88
| 0.649103
|
8be86bfbc616af693be4c8b1bf95b938750cfb4b
| 8,035
|
py
|
Python
|
market/views.py
|
morphosis-nitmz/Stock-Bridge-2018
|
5f7d55a5dfeed52e2fa46fd1e2abd6bba80c954a
|
[
"MIT"
] | 12
|
2019-09-10T02:51:01.000Z
|
2022-03-23T07:19:34.000Z
|
market/views.py
|
morphosis-nitmz/Stock-Bridge-2018
|
5f7d55a5dfeed52e2fa46fd1e2abd6bba80c954a
|
[
"MIT"
] | null | null | null |
market/views.py
|
morphosis-nitmz/Stock-Bridge-2018
|
5f7d55a5dfeed52e2fa46fd1e2abd6bba80c954a
|
[
"MIT"
] | 8
|
2019-06-26T14:16:23.000Z
|
2022-01-07T08:48:08.000Z
|
from datetime import datetime
from decimal import Decimal
from django.conf import settings
from django.contrib.auth import get_user_model
from django.shortcuts import render, redirect
from django.http import HttpResponseRedirect, HttpResponse
from django.views.generic import View, ListView
from django.urls import reverse
from django.contrib import messages
from django.contrib.auth.decorators import login_required
from django.utils import timezone
from django.utils.timezone import localtime
from rest_framework.views import APIView
from rest_framework.response import Response
from .models import Company, CompanyCMPRecord, InvestmentRecord, Transaction
from .forms import StockTransactionForm, CompanyChangeForm
from stock_bridge.mixins import LoginRequiredMixin, CountNewsMixin, AdminRequiredMixin
User = get_user_model()
START_TIME = timezone.make_aware(getattr(settings, 'START_TIME'))
STOP_TIME = timezone.make_aware(getattr(settings, 'STOP_TIME'))
class CompanyAdminCompanyUpdateView(AdminRequiredMixin, View):
""" View for admin to change company's CMP """
class CompanyCMPCreateView(View):
class CompanySelectionView(LoginRequiredMixin, CountNewsMixin, View):
class CompanyCMPChartData(APIView): # used django rest framework
authentication_classes = []
permission_classes = []
class CompanyTransactionView(LoginRequiredMixin, CountNewsMixin, View):
class UserTransactionHistoryView(LoginRequiredMixin, CountNewsMixin, ListView):
template_name = 'market/user_transaction_history.html'
| 40.994898
| 108
| 0.601369
|
8be87a2381ba6a63956f68b01f8d66e526e6f9d0
| 21,478
|
py
|
Python
|
library.py
|
Kladmen228/kurs_work-c-
|
6648ca3d4f454aaa429993db80cd2fc6a3ab2bb4
|
[
"Apache-2.0"
] | 2
|
2020-07-11T21:12:42.000Z
|
2020-07-11T21:49:22.000Z
|
library.py
|
Kladmen228/kurs_work-PP
|
6648ca3d4f454aaa429993db80cd2fc6a3ab2bb4
|
[
"Apache-2.0"
] | null | null | null |
library.py
|
Kladmen228/kurs_work-PP
|
6648ca3d4f454aaa429993db80cd2fc6a3ab2bb4
|
[
"Apache-2.0"
] | null | null | null |
# coding=utf8
import os
from tkinter import messagebox
from tkinter import ttk
from tkinter import *
import tkinter as tk
import database
from tkinter import filedialog
databaseName = 'dataBase.db'
who = 0
currentUserID = 0
currentTable = 0
root = tk.Tk()
root.title("")
root.geometry("1750x500")
root.resizable(False, False)
var1 = IntVar()
var2 = IntVar()
var3 = IntVar()
# region tables
frame = ttk.Treeview(root)
frame.place(relx=0.15, rely=0.05, relwidth=0.33, relheight=0.89)
frame2 = ttk.Treeview(root)
frame2.place(relx=0.65, rely=0.05, relwidth=0.33, relheight=0.89)
frame["columns"] = ("ID", "", "", " ", "-")
frame.column("#0", width=0, stretch=tk.NO)
frame.column("ID", width=40, stretch=tk.NO)
frame.column("", width=200, stretch=tk.NO)
frame.column("", width=200, stretch=tk.NO)
frame.column(" ", width=80, stretch=tk.NO)
frame.column("-", width=50, stretch=tk.NO)
frame.heading("ID", text="ID", anchor=tk.W)
frame.heading("", text="", anchor=tk.W)
frame.heading("", text="", anchor=tk.W)
frame.heading(" ", text=" ", anchor=tk.W)
frame.heading("-", text="-", anchor=tk.W)
frame2["columns"] = ("ID", "", "", " ", "")
frame2.column("#0", width=0, stretch=tk.NO)
frame2.column("ID", width=40, stretch=tk.NO)
frame2.column("", width=200, stretch=tk.NO)
frame2.column("", width=150, stretch=tk.NO)
frame2.column(" ", width=80, stretch=tk.NO)
frame2.column("", width=100, stretch=tk.NO)
frame2.heading("ID", text="ID", anchor=tk.W)
frame2.heading("", text="", anchor=tk.W)
frame2.heading("", text="", anchor=tk.W)
frame2.heading(" ", text=" ", anchor=tk.W)
frame2.heading("", text="", anchor=tk.W)
# endregion
# region UI
l_frame = LabelFrame(root, relief=FLAT)
l_frame.place(relx=0.025, rely=0.85, relwidth=0.12, relheight=0.14)
button_add = tk.Button(root, text="", bg='#BDBDBD', command=lambda: add_book(), state='disabled')
button_add.place(relx=0.045, rely=0.40, relwidth=0.1, relheight=0.05)
button_del = tk.Button(root, text="", bg='#BDBDBD', command=lambda: del_book(), state='disabled')
button_del.place(relx=0.045, rely=0.46, relwidth=0.1, relheight=0.05)
button_give = tk.Button(root, text="-> ->", bg='#BDBDBD', command=lambda: replace_book("Library"),
state='disabled')
button_give.place(relx=0.52, rely=0.05, relwidth=0.1, relheight=0.05)
button_take = tk.Button(root, text="<- <-", bg='#BDBDBD', command=lambda: replace_book("NotInLibrary"),
state='disabled')
button_take.place(relx=0.52, rely=0.11, relwidth=0.1, relheight=0.05)
button_middle = tk.Button(root, text=" ", bg='#BDBDBD', command=lambda: fill_middle_time(),
state='disabled')
button_middle.place(relx=0.52, rely=0.32, relwidth=0.1, relheight=0.05)
button_frequency = tk.Button(root, text=" ", bg='#BDBDBD', command=lambda: fill_frequency(),
state='disabled')
button_frequency.place(relx=0.52, rely=0.38, relwidth=0.1, relheight=0.05)
button_onHand = tk.Button(root, text=" ", bg='#BDBDBD', command=lambda: fill_on_hand_table(),
state='disabled')
button_onHand.place(relx=0.52, rely=0.44, relwidth=0.1, relheight=0.05)
button_sortID = tk.Button(root, text="ID", bg='#BDBDBD', command=lambda: sort_frame("ID"), state='disabled')
button_sortID.place(relx=0.22, rely=0.945, relwidth=0.03, relheight=0.05)
button_sortName = tk.Button(root, text="", bg='#BDBDBD', command=lambda: sort_frame("Name"), state='disabled')
button_sortName.place(relx=0.255, rely=0.945, relwidth=0.05, relheight=0.05)
button_sortAuthor = tk.Button(root, text="", bg='#BDBDBD', command=lambda: sort_frame("Author"), state='disabled')
button_sortAuthor.place(relx=0.31, rely=0.945, relwidth=0.05, relheight=0.05)
button_sortYear = tk.Button(root, text="", bg='#BDBDBD', command=lambda: sort_frame("Year"), state='disabled')
button_sortYear.place(relx=0.365, rely=0.945, relwidth=0.05, relheight=0.05)
button_sortCount = tk.Button(root, text="", bg='#BDBDBD', command=lambda: sort_frame("Count"),
state='disabled')
button_sortCount.place(relx=0.42, rely=0.945, relwidth=0.05, relheight=0.05)
button_sortID2 = tk.Button(root, text="ID", bg='#BDBDBD', command=lambda: sort_frame2("ID"), state='disabled')
button_sortID2.place(relx=0.72, rely=0.945, relwidth=0.03, relheight=0.05)
button_sortName2 = tk.Button(root, text="", bg='#BDBDBD', command=lambda: sort_frame2("Name"), state='disabled')
button_sortName2.place(relx=0.755, rely=0.945, relwidth=0.05, relheight=0.05)
button_sortAuthor2 = tk.Button(root, text="", bg='#BDBDBD', command=lambda: sort_frame2("Author"),
state='disabled')
button_sortAuthor2.place(relx=0.81, rely=0.945, relwidth=0.05, relheight=0.05)
button_sortYear2 = tk.Button(root, text="", bg='#BDBDBD', command=lambda: sort_frame2("Year"), state='disabled')
button_sortYear2.place(relx=0.865, rely=0.945, relwidth=0.05, relheight=0.05)
button_sortCount2 = tk.Button(root, text="", bg='#BDBDBD', command=lambda: sort_frame2("takeID"),
state='disabled')
button_sortCount2.place(relx=0.92, rely=0.945, relwidth=0.06, relheight=0.05)
button_plusOne = tk.Button(root, text="+1", bg='#BDBDBD', command=lambda: add_count(1), state='disabled')
button_plusOne.place(relx=0.52, rely=0.6, relwidth=0.03, relheight=0.05)
button_plusTwo = tk.Button(root, text="+2", bg='#BDBDBD', command=lambda: add_count(2), state='disabled')
button_plusTwo.place(relx=0.555, rely=0.6, relwidth=0.03, relheight=0.05)
button_plusFive = tk.Button(root, text="+5", bg='#BDBDBD', command=lambda: add_count(5), state='disabled')
button_plusFive.place(relx=0.59, rely=0.6, relwidth=0.03, relheight=0.05)
button_plusTen = tk.Button(root, text="+10", bg='#BDBDBD', command=lambda: add_count(10), state='disabled')
button_plusTen.place(relx=0.52, rely=0.665, relwidth=0.03, relheight=0.05)
button_plusFT = tk.Button(root, text="+15", bg='#BDBDBD', command=lambda: add_count(15), state='disabled')
button_plusFT.place(relx=0.555, rely=0.665, relwidth=0.03, relheight=0.05)
button_plusTwenty = tk.Button(root, text="+20", bg='#BDBDBD', command=lambda: add_count(20), state='disabled')
button_plusTwenty.place(relx=0.59, rely=0.665, relwidth=0.03, relheight=0.05)
button_refresh = tk.Button(root, text=" ", bg='#BDBDBD', command=lambda: (Exit(), fill_LibTable(),
fill_on_hand_table()),
state='normal')
button_refresh.place(relx=0.52, rely=0.8, relwidth=0.1, relheight=0.05)
button_connect = tk.Button(root, text=" ", bg='#BDBDBD', command=lambda: connect_to_database(),
state='normal')
button_connect.place(relx=0.52, rely=0.86, relwidth=0.1, relheight=0.05)
button_enter = tk.Button(l_frame, text="", bg='#BDBDBD', command=lambda: login())
button_enter.place(relx=0, rely=-0.1, relwidth=0.48, relheight=0.5)
button_reg = tk.Button(l_frame, text="", bg='#BDBDBD', command=lambda: reg())
button_reg.place(relx=0, rely=0.46, relwidth=1, relheight=0.4)
button_exit = tk.Button(l_frame, text="", bg='#BDBDBD', command=lambda: Exit(), state='disabled')
button_exit.place(relx=0.52, rely=-0.1, relwidth=0.48, relheight=0.5)
entry_id = tk.Entry(root, font=12)
entry_id.place(relx=0.045, rely=0.05, relwidth=0.1, relheight=0.05)
entry_userId = tk.Entry(root, font=12)
entry_userId.place(relx=0.025, rely=0.6, relwidth=0.1, relheight=0.05)
entry_pass = tk.Entry(root, font=12)
entry_pass.place(relx=0.025, rely=0.66, relwidth=0.1, relheight=0.05)
entry_title = tk.Entry(root, font=12)
entry_title.place(relx=0.045, rely=0.12, relwidth=0.1, relheight=0.05)
entry_author = tk.Entry(root, font=12)
entry_author.place(relx=0.045, rely=0.19, relwidth=0.1, relheight=0.05)
entry_year = tk.Entry(root, font=12)
entry_year.place(relx=0.045, rely=0.26, relwidth=0.1, relheight=0.05)
entry_count = tk.Entry(root, font=12)
entry_count.place(relx=0.045, rely=0.33, relwidth=0.1, relheight=0.05)
label_id = tk.Label(root, font=12, text="Id:", fg='black')
label_id.place(relx=0.023, rely=0.05)
label_title = tk.Label(root, font=12, text=":", fg='black')
label_title.place(relx=0.01, rely=0.12)
label_author = tk.Label(root, font=12, text=":", fg='black')
label_author.place(relx=0.005, rely=0.19)
label_year = tk.Label(root, font=12, text=":", fg='black')
label_year.place(relx=0.015, rely=0.26)
label_count = tk.Label(root, font=12, text="-:", fg='black')
label_count.place(relx=0.005, rely=0.33)
label_sort = tk.Label(root, font=12, text=" :", fg='black')
label_sort.place(relx=0.148, rely=0.945)
label_sort2 = tk.Label(root, font=12, text=" :", fg='black')
label_sort2.place(relx=0.647, rely=0.945)
label_fill = tk.Label(root, font=12, text="", fg='black')
label_fill.place(relx=0.52, rely=0.55, relwidth=0.1, relheight=0.05)
label_func = tk.Label(root, font=12, text=" ", fg='black')
label_func.place(relx=0.52, rely=0.27, relwidth=0.1, relheight=0.05)
label_func = tk.Label(root, font=12, text=" ", fg='black')
label_func.place(relx=0.036, rely=0.55)
user = Checkbutton(root, font=12, text="", fg='black', variable=var1)
user.place(relx=0.011, rely=0.72, relwidth=0.1, relheight=0.05)
lib_worker = Checkbutton(root, font=12, text="", fg='black', variable=var2)
lib_worker.place(relx=0.01, rely=0.76, relwidth=0.1, relheight=0.05)
admin = Checkbutton(root, font=12, text="", fg='black', variable=var3)
admin.place(relx=0.0195, rely=0.8, relwidth=0.05, relheight=0.05)
fill_LibTable()
# endregion
if __name__ == "__main__":
root.mainloop()
| 44.193416
| 122
| 0.648524
|
8be8ad1bff74a971fe98e6113f758f85c95026e6
| 621
|
py
|
Python
|
utilities.py
|
tsilifis/BayesEmbed-mfGP
|
61ee75284bac34084ee4d171257023cc4d60c910
|
[
"MIT"
] | null | null | null |
utilities.py
|
tsilifis/BayesEmbed-mfGP
|
61ee75284bac34084ee4d171257023cc4d60c910
|
[
"MIT"
] | null | null | null |
utilities.py
|
tsilifis/BayesEmbed-mfGP
|
61ee75284bac34084ee4d171257023cc4d60c910
|
[
"MIT"
] | null | null | null |
from datetime import datetime
import numpy as np
def add_basis_element(W):
"""
Given a D x d orthonormal matrix W (with d << D), it computes a new vector v that
is orthogonal to all d columns of W and add it as an additional column.
Return : D x (d+1) orthonormal matrix [W v]
"""
dim = W.shape[1]
d = W.shape[0]
v = np.random.randn(d)
v = v / np.linalg.norm(v)
u = np.zeros(v.shape)
for i in range(dim):
u = u - np.sum(W[:, i] * v) * W[:, i]
v = (v - u).reshape(-1, 1)
v = v / np.linalg.norm(v)
return np.hstack([W, v])
| 23
| 83
| 0.621578
|
8be92b2b82e61183cec9beb6bacf4eefc2f03ab0
| 4,049
|
py
|
Python
|
data/LoadingScripts/adapt_tcga.py
|
Bertinus/causal_cell_embedding
|
417b55749130fc7b7832fd3ee4c49feff4a04593
|
[
"MIT"
] | null | null | null |
data/LoadingScripts/adapt_tcga.py
|
Bertinus/causal_cell_embedding
|
417b55749130fc7b7832fd3ee4c49feff4a04593
|
[
"MIT"
] | null | null | null |
data/LoadingScripts/adapt_tcga.py
|
Bertinus/causal_cell_embedding
|
417b55749130fc7b7832fd3ee4c49feff4a04593
|
[
"MIT"
] | null | null | null |
import numpy as np
import pandas as pd
########################################################################################################################
# Load data
########################################################################################################################
print("Adapt TCGA: Loading data. Might take some time...")
# TCGA gene expression matrix
data = pd.read_csv('Data/Downstream_Tasks/TcgaTargetGtex_rsem_gene_tpm', sep='\t')
# Load Ensembl Id conversion table
conversion_table = pd.read_csv('Data/Downstream_Tasks/ensembl_names.txt', sep='\t')
# Get list of landmark genes
gene_info = pd.read_csv("Data/L1000_PhaseI/GSE92742_Broad_LINCS/GSE92742_Broad_LINCS_gene_info.txt", sep="\t")
########################################################################################################################
# Build conversion map
########################################################################################################################
print("Adapt TCGA: build conversion map")
# Build name to ensembl dictionary
name_to_ensembl_dict = {}
for l in conversion_table.iterrows():
name_to_ensembl_dict[l[1]['Approved symbol']] = l[1]['Ensembl gene ID']
# Manually add landmark genes that are not in the ensembl ID table
not_matched_dict = {"EPRS": "ENSG00000136628",
"AARS": "ENSG00000090861",
"TOMM70A": "ENSG00000154174",
"KIAA0196": "ENSG00000164961",
"KIAA0907": "ENSG00000132680",
"PAPD7": "ENSG00000112941",
"IKBKAP": "ENSG00000070061",
"HIST2H2BE": "ENSG00000184678",
"WRB": "ENSG00000182093",
"KIAA0355": "ENSG00000166398",
"TMEM5": "ENSG00000118600",
"HDGFRP3": "ENSG00000166503",
"PRUNE": "ENSG00000143363",
"HIST1H2BK": "ENSG00000197903",
"HN1L": "ENSG00000206053",
"H2AFV": "ENSG00000105968",
"KIF1BP": "ENSG00000198954",
"KIAA1033": "ENSG00000136051",
"FAM69A": "ENSG00000154511",
"TMEM110": "ENSG00000213533",
"ATP5S": "ENSG00000125375",
"SQRDL": "ENSG00000137767",
"TMEM2": "ENSG00000135048",
"ADCK3": "ENSG00000163050",
"NARFL": "ENSG00000103245",
"FAM57A": "ENSG00000167695",
"LRRC16A": "ENSG00000079691",
"FAM63A": "ENSG00000143409",
"TSTA3": "ENSG00000104522"}
name_to_ensembl_dict = {**name_to_ensembl_dict, **not_matched_dict}
landmark_ensembl_dict = {name: name_to_ensembl_dict[name]
for name in gene_info[gene_info['pr_is_lm'] == 1]['pr_gene_symbol']}
landmark_ensembl_to_name_dict = {landmark_ensembl_dict[name]: name for name in landmark_ensembl_dict.keys()}
########################################################################################################################
# Retrieve part of TCGA matrix that corresponds to landmark genes
########################################################################################################################
print("Adapt TCGA: modify TCGA matrix")
# Remove version of the ensembl ID in TCGA data
data['ensembl'] = data['sample'].apply(lambda s: s.split('.')[0])
# Restrict to landmark genes
data_lamdmark_genes = data[data['ensembl'].apply(lambda s: s in landmark_ensembl_dict.values())]
data_lamdmark_genes = data_lamdmark_genes.drop(['sample'], axis=1)
# Add gene names to the matrix
data_lamdmark_genes['name'] = data_lamdmark_genes['ensembl'].apply(lambda s: landmark_ensembl_to_name_dict[s])
data_lamdmark_genes = data_lamdmark_genes.set_index('name')
data_lamdmark_genes = data_lamdmark_genes.drop(['ensembl'], axis=1)
# Save
data_lamdmark_genes.to_csv("Data/Downstream_Tasks/tcga_landmark_genes.csv")
| 46.011364
| 120
| 0.514942
|
8bea72f709ee92f0256045645314ed84137d7a0e
| 6,924
|
py
|
Python
|
tests/test_share_resource/test_master_data.py
|
anhlt59/django_refactor
|
1b1d86af9f732a000e30feb7644f6ca60b6e516a
|
[
"MIT"
] | null | null | null |
tests/test_share_resource/test_master_data.py
|
anhlt59/django_refactor
|
1b1d86af9f732a000e30feb7644f6ca60b6e516a
|
[
"MIT"
] | null | null | null |
tests/test_share_resource/test_master_data.py
|
anhlt59/django_refactor
|
1b1d86af9f732a000e30feb7644f6ca60b6e516a
|
[
"MIT"
] | null | null | null |
import pytest
from app.share_resources.master_data.models import *
# test company_type_category
# test company_type_master
# test work_place_category
# test work_place_master
# test job_type_category
# test job_type_master
# test school_info_master
# test media
# test Plan
# test type_auto_reply_message
| 33.941176
| 102
| 0.718515
|
8bec7a78ef815c669108337b9955421ae8412b87
| 1,192
|
py
|
Python
|
deep-rl/lib/python2.7/site-packages/OpenGL/raw/GL/ARB/get_program_binary.py
|
ShujaKhalid/deep-rl
|
99c6ba6c3095d1bfdab81bd01395ced96bddd611
|
[
"MIT"
] | 210
|
2016-04-09T14:26:00.000Z
|
2022-03-25T18:36:19.000Z
|
deep-rl/lib/python2.7/site-packages/OpenGL/raw/GL/ARB/get_program_binary.py
|
ShujaKhalid/deep-rl
|
99c6ba6c3095d1bfdab81bd01395ced96bddd611
|
[
"MIT"
] | 72
|
2016-09-04T09:30:19.000Z
|
2022-03-27T17:06:53.000Z
|
deep-rl/lib/python2.7/site-packages/OpenGL/raw/GL/ARB/get_program_binary.py
|
ShujaKhalid/deep-rl
|
99c6ba6c3095d1bfdab81bd01395ced96bddd611
|
[
"MIT"
] | 64
|
2016-04-09T14:26:49.000Z
|
2022-03-21T11:19:47.000Z
|
'''Autogenerated by xml_generate script, do not edit!'''
from OpenGL import platform as _p, arrays
# Code generation uses this
from OpenGL.raw.GL import _types as _cs
# End users want this...
from OpenGL.raw.GL._types import *
from OpenGL.raw.GL import _errors
from OpenGL.constant import Constant as _C
import ctypes
_EXTENSION_NAME = 'GL_ARB_get_program_binary'
GL_NUM_PROGRAM_BINARY_FORMATS=_C('GL_NUM_PROGRAM_BINARY_FORMATS',0x87FE)
GL_PROGRAM_BINARY_FORMATS=_C('GL_PROGRAM_BINARY_FORMATS',0x87FF)
GL_PROGRAM_BINARY_LENGTH=_C('GL_PROGRAM_BINARY_LENGTH',0x8741)
GL_PROGRAM_BINARY_RETRIEVABLE_HINT=_C('GL_PROGRAM_BINARY_RETRIEVABLE_HINT',0x8257)
| 44.148148
| 119
| 0.833054
|
4733f343c64441b45c6474b08ce6fa31a64e3fde
| 176
|
py
|
Python
|
hazm/utils.py
|
perryyo/hazm
|
8596ea060f0c241eba7dece3ad1db6baa36439ed
|
[
"MIT"
] | null | null | null |
hazm/utils.py
|
perryyo/hazm
|
8596ea060f0c241eba7dece3ad1db6baa36439ed
|
[
"MIT"
] | null | null | null |
hazm/utils.py
|
perryyo/hazm
|
8596ea060f0c241eba7dece3ad1db6baa36439ed
|
[
"MIT"
] | 1
|
2018-12-09T05:16:06.000Z
|
2018-12-09T05:16:06.000Z
|
from os import path
data_path = path.join(path.dirname(__file__), 'data')
default_words = path.join(data_path, 'words.dat')
default_verbs = path.join(data_path, 'verbs.dat')
| 25.142857
| 53
| 0.75
|
4735a6be395ffd4914453c63b7dd438db0593092
| 629
|
py
|
Python
|
parseridge/parser/training/callbacks/save_model_callback.py
|
jgontrum/parseridge
|
f87ef82a9468addeb09a91c3b5310db38840bf0f
|
[
"Apache-2.0"
] | 6
|
2019-10-06T23:00:29.000Z
|
2020-04-08T02:04:24.000Z
|
parseridge/parser/training/callbacks/save_model_callback.py
|
jgontrum/parseridge
|
f87ef82a9468addeb09a91c3b5310db38840bf0f
|
[
"Apache-2.0"
] | 2
|
2020-04-28T12:06:23.000Z
|
2020-04-28T13:30:03.000Z
|
parseridge/parser/training/callbacks/save_model_callback.py
|
jgontrum/parseridge
|
f87ef82a9468addeb09a91c3b5310db38840bf0f
|
[
"Apache-2.0"
] | 1
|
2019-12-23T00:53:38.000Z
|
2019-12-23T00:53:38.000Z
|
import os
from typing import Any, Optional
import torch
from parseridge.parser.modules.data_parallel import Module
from parseridge.parser.training.callbacks.base_callback import Callback
| 28.590909
| 77
| 0.696343
|
4735d1f5a8954c473193826a0ee08dd64ab9a93e
| 35
|
py
|
Python
|
Training/pylens/__init__.py
|
Annarien/GravitationalLenses
|
c2606aacc62d2534fb199f5228dc21c0ea604251
|
[
"MIT"
] | null | null | null |
Training/pylens/__init__.py
|
Annarien/GravitationalLenses
|
c2606aacc62d2534fb199f5228dc21c0ea604251
|
[
"MIT"
] | null | null | null |
Training/pylens/__init__.py
|
Annarien/GravitationalLenses
|
c2606aacc62d2534fb199f5228dc21c0ea604251
|
[
"MIT"
] | null | null | null |
import massmodel,pylens,MassModels
| 17.5
| 34
| 0.885714
|
473611358315db91be2c68a0523fa1b4712e6722
| 1,083
|
py
|
Python
|
conanfile.py
|
martinmoene/lest-conan-package
|
db0a1eda840e819edb0c1bb5dc4d8384d1a92c19
|
[
"MIT"
] | null | null | null |
conanfile.py
|
martinmoene/lest-conan-package
|
db0a1eda840e819edb0c1bb5dc4d8384d1a92c19
|
[
"MIT"
] | null | null | null |
conanfile.py
|
martinmoene/lest-conan-package
|
db0a1eda840e819edb0c1bb5dc4d8384d1a92c19
|
[
"MIT"
] | null | null | null |
from contextlib import closing
from tarfile import open as taropen
from urllib2 import urlopen
from conans import ConanFile
| 32.818182
| 104
| 0.644506
|
47364a3924f1597cca49227e92174ee485e954ae
| 555
|
py
|
Python
|
erp/migrations/0093_auto_20200922_0802.py
|
Foohx/acceslibre
|
55135e096f2ec4e413ff991f01c17f5e0d5925c0
|
[
"MIT"
] | 8
|
2020-07-23T08:17:28.000Z
|
2022-03-09T22:31:36.000Z
|
erp/migrations/0093_auto_20200922_0802.py
|
Foohx/acceslibre
|
55135e096f2ec4e413ff991f01c17f5e0d5925c0
|
[
"MIT"
] | 37
|
2020-07-01T08:47:33.000Z
|
2022-02-03T19:50:58.000Z
|
erp/migrations/0093_auto_20200922_0802.py
|
Foohx/acceslibre
|
55135e096f2ec4e413ff991f01c17f5e0d5925c0
|
[
"MIT"
] | 4
|
2021-04-08T10:57:18.000Z
|
2022-01-31T13:16:31.000Z
|
# Generated by Django 3.1.1 on 2020-09-22 06:02
from django.db import migrations, models
| 29.210526
| 189
| 0.641441
|
4738887a5abd7d5e02db7c0d3385f50ba3f81899
| 8,290
|
py
|
Python
|
cli/cli.py
|
MustafaTheCoder/create-a-cli-tool
|
9f7c327927e22b390a58c8c8b599a59cad246f2e
|
[
"MIT"
] | 3
|
2021-09-27T10:35:24.000Z
|
2021-10-02T08:16:46.000Z
|
cli/cli.py
|
MustafaTheCoder/create-a-cli-tool
|
9f7c327927e22b390a58c8c8b599a59cad246f2e
|
[
"MIT"
] | 1
|
2021-09-22T15:44:30.000Z
|
2021-09-22T15:44:30.000Z
|
cli/cli.py
|
MustafaTheCoder/create-a-cli-tool
|
9f7c327927e22b390a58c8c8b599a59cad246f2e
|
[
"MIT"
] | 3
|
2021-09-21T05:19:42.000Z
|
2021-10-02T08:16:48.000Z
|
import asyncio
import sys
from typing import Any, Callable, List, Optional, Union
from .commands import Command
from .commands import CommandGroup as Group
from .errors import *
| 30.932836
| 124
| 0.458987
|
47391c58cb36718e353c6d24ef9b6c3dc10d34e8
| 230
|
py
|
Python
|
propertiesTemplate/Fields/FieldTester.py
|
HenShalom/tableTransform
|
ede5c9ed3ecb32f74712778a6746b03773ac28ef
|
[
"Apache-2.0"
] | null | null | null |
propertiesTemplate/Fields/FieldTester.py
|
HenShalom/tableTransform
|
ede5c9ed3ecb32f74712778a6746b03773ac28ef
|
[
"Apache-2.0"
] | null | null | null |
propertiesTemplate/Fields/FieldTester.py
|
HenShalom/tableTransform
|
ede5c9ed3ecb32f74712778a6746b03773ac28ef
|
[
"Apache-2.0"
] | 2
|
2019-11-20T02:47:23.000Z
|
2019-11-20T02:47:23.000Z
|
from propertiesTemplate.Fields.BasicField import BasicField
from propertiesTemplate.Fields.ConstField import ConstField
| 25.555556
| 59
| 0.76087
|
473931c03e87e8ad7ec18f92b6ba042e2eddadd3
| 494
|
py
|
Python
|
Alice/Sorting/selection_sort.py
|
sandeepm96/cormen-algos
|
9154f6ce9cb0c318bc0d6ecaa13676d080985cec
|
[
"MIT"
] | 1
|
2017-09-15T13:34:19.000Z
|
2017-09-15T13:34:19.000Z
|
Alice/Sorting/selection_sort.py
|
sandeepm96/cormen-algos
|
9154f6ce9cb0c318bc0d6ecaa13676d080985cec
|
[
"MIT"
] | null | null | null |
Alice/Sorting/selection_sort.py
|
sandeepm96/cormen-algos
|
9154f6ce9cb0c318bc0d6ecaa13676d080985cec
|
[
"MIT"
] | null | null | null |
test = list(map(int,input().split(' ')))
t = SelectionSort(test)
print(t.result())
| 29.058824
| 81
| 0.544534
|
4739439933f695399a93b2006266d661c9ac6918
| 1,521
|
py
|
Python
|
sprint/DS-Unit-3-Sprint-3-Productization-and-Cloud/sprint/aq_dashboard.py
|
ndow33/DS-Unit-3-Sprint-3-Productization-and-Cloud
|
17ebfc34991649580fce24dae5c0a7933f5b3095
|
[
"MIT"
] | null | null | null |
sprint/DS-Unit-3-Sprint-3-Productization-and-Cloud/sprint/aq_dashboard.py
|
ndow33/DS-Unit-3-Sprint-3-Productization-and-Cloud
|
17ebfc34991649580fce24dae5c0a7933f5b3095
|
[
"MIT"
] | null | null | null |
sprint/DS-Unit-3-Sprint-3-Productization-and-Cloud/sprint/aq_dashboard.py
|
ndow33/DS-Unit-3-Sprint-3-Productization-and-Cloud
|
17ebfc34991649580fce24dae5c0a7933f5b3095
|
[
"MIT"
] | null | null | null |
from flask import Flask
from flask_sqlalchemy import SQLAlchemy
import openaq
import requests
# connects to the api
api = openaq.OpenAQ()
# initialize the app
APP = Flask(__name__)
# configure the database
APP.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///db.sqlite3'
DB = SQLAlchemy(APP)
# define a function that will return a list of date time and value tuples
# Base route
| 27.160714
| 76
| 0.663379
|