hexsha string | size int64 | ext string | lang string | max_stars_repo_path string | max_stars_repo_name string | max_stars_repo_head_hexsha string | max_stars_repo_licenses list | max_stars_count int64 | max_stars_repo_stars_event_min_datetime string | max_stars_repo_stars_event_max_datetime string | max_issues_repo_path string | max_issues_repo_name string | max_issues_repo_head_hexsha string | max_issues_repo_licenses list | max_issues_count int64 | max_issues_repo_issues_event_min_datetime string | max_issues_repo_issues_event_max_datetime string | max_forks_repo_path string | max_forks_repo_name string | max_forks_repo_head_hexsha string | max_forks_repo_licenses list | max_forks_count int64 | max_forks_repo_forks_event_min_datetime string | max_forks_repo_forks_event_max_datetime string | content string | avg_line_length float64 | max_line_length int64 | alphanum_fraction float64 | qsc_code_num_words_quality_signal int64 | qsc_code_num_chars_quality_signal float64 | qsc_code_mean_word_length_quality_signal float64 | qsc_code_frac_words_unique_quality_signal float64 | qsc_code_frac_chars_top_2grams_quality_signal float64 | qsc_code_frac_chars_top_3grams_quality_signal float64 | qsc_code_frac_chars_top_4grams_quality_signal float64 | qsc_code_frac_chars_dupe_5grams_quality_signal float64 | qsc_code_frac_chars_dupe_6grams_quality_signal float64 | qsc_code_frac_chars_dupe_7grams_quality_signal float64 | qsc_code_frac_chars_dupe_8grams_quality_signal float64 | qsc_code_frac_chars_dupe_9grams_quality_signal float64 | qsc_code_frac_chars_dupe_10grams_quality_signal float64 | qsc_code_frac_chars_replacement_symbols_quality_signal float64 | qsc_code_frac_chars_digital_quality_signal float64 | qsc_code_frac_chars_whitespace_quality_signal float64 | qsc_code_size_file_byte_quality_signal float64 | qsc_code_num_lines_quality_signal float64 | qsc_code_num_chars_line_max_quality_signal float64 | qsc_code_num_chars_line_mean_quality_signal float64 | qsc_code_frac_chars_alphabet_quality_signal float64 | qsc_code_frac_chars_comments_quality_signal float64 | qsc_code_cate_xml_start_quality_signal float64 | qsc_code_frac_lines_dupe_lines_quality_signal float64 | qsc_code_cate_autogen_quality_signal float64 | qsc_code_frac_lines_long_string_quality_signal float64 | qsc_code_frac_chars_string_length_quality_signal float64 | qsc_code_frac_chars_long_word_length_quality_signal float64 | qsc_code_frac_lines_string_concat_quality_signal float64 | qsc_code_cate_encoded_data_quality_signal float64 | qsc_code_frac_chars_hex_words_quality_signal float64 | qsc_code_frac_lines_prompt_comments_quality_signal float64 | qsc_code_frac_lines_assert_quality_signal float64 | qsc_codepython_cate_ast_quality_signal float64 | qsc_codepython_frac_lines_func_ratio_quality_signal float64 | qsc_codepython_cate_var_zero_quality_signal bool | qsc_codepython_frac_lines_pass_quality_signal float64 | qsc_codepython_frac_lines_import_quality_signal float64 | qsc_codepython_frac_lines_simplefunc_quality_signal float64 | qsc_codepython_score_lines_no_logic_quality_signal float64 | qsc_codepython_frac_lines_print_quality_signal float64 | qsc_code_num_words int64 | qsc_code_num_chars int64 | qsc_code_mean_word_length int64 | qsc_code_frac_words_unique null | qsc_code_frac_chars_top_2grams int64 | qsc_code_frac_chars_top_3grams int64 | qsc_code_frac_chars_top_4grams int64 | qsc_code_frac_chars_dupe_5grams int64 | qsc_code_frac_chars_dupe_6grams int64 | qsc_code_frac_chars_dupe_7grams int64 | qsc_code_frac_chars_dupe_8grams int64 | qsc_code_frac_chars_dupe_9grams int64 | qsc_code_frac_chars_dupe_10grams int64 | qsc_code_frac_chars_replacement_symbols int64 | qsc_code_frac_chars_digital int64 | qsc_code_frac_chars_whitespace int64 | qsc_code_size_file_byte int64 | qsc_code_num_lines int64 | qsc_code_num_chars_line_max int64 | qsc_code_num_chars_line_mean int64 | qsc_code_frac_chars_alphabet int64 | qsc_code_frac_chars_comments int64 | qsc_code_cate_xml_start int64 | qsc_code_frac_lines_dupe_lines int64 | qsc_code_cate_autogen int64 | qsc_code_frac_lines_long_string int64 | qsc_code_frac_chars_string_length int64 | qsc_code_frac_chars_long_word_length int64 | qsc_code_frac_lines_string_concat null | qsc_code_cate_encoded_data int64 | qsc_code_frac_chars_hex_words int64 | qsc_code_frac_lines_prompt_comments int64 | qsc_code_frac_lines_assert int64 | qsc_codepython_cate_ast int64 | qsc_codepython_frac_lines_func_ratio int64 | qsc_codepython_cate_var_zero int64 | qsc_codepython_frac_lines_pass int64 | qsc_codepython_frac_lines_import int64 | qsc_codepython_frac_lines_simplefunc int64 | qsc_codepython_score_lines_no_logic int64 | qsc_codepython_frac_lines_print int64 | effective string | hits int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1949f67880a122aecf5127270425d8254c407d36 | 511 | py | Python | pyuavcan/transport/can/media/__init__.py | pcarranzav2/pyuavcan | 1d5dbf07b6acc64576ca4f1deaae3b35bd7df377 | [
"MIT"
] | null | null | null | pyuavcan/transport/can/media/__init__.py | pcarranzav2/pyuavcan | 1d5dbf07b6acc64576ca4f1deaae3b35bd7df377 | [
"MIT"
] | null | null | null | pyuavcan/transport/can/media/__init__.py | pcarranzav2/pyuavcan | 1d5dbf07b6acc64576ca4f1deaae3b35bd7df377 | [
"MIT"
] | null | null | null | #
# Copyright (c) 2019 UAVCAN Development Team
# This software is distributed under the terms of the MIT License.
# Author: Pavel Kirienko <pavel.kirienko@zubax.com>
#
from ._media import Media as Media
from ._frame import FrameFormat as FrameFormat
from ._frame import DataFrame as DataFrame
from ._frame import TimestampedDataFrame as TimestampedDataFrame
from ._filter import FilterConfiguration as FilterConfiguration
from ._filter import optimize_filter_configurations as optimize_filter_configurations
| 34.066667 | 85 | 0.833659 | 64 | 511 | 6.5 | 0.515625 | 0.064904 | 0.108173 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008969 | 0.127202 | 511 | 14 | 86 | 36.5 | 0.923767 | 0.307241 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
19517354b277b0e7ed9e2654f3f3bd6220a98f97 | 109 | py | Python | util/state.py | xxh160/pithon | 712dca6affd139176f9bba4efefcb3c5618291ba | [
"MIT"
] | null | null | null | util/state.py | xxh160/pithon | 712dca6affd139176f9bba4efefcb3c5618291ba | [
"MIT"
] | null | null | null | util/state.py | xxh160/pithon | 712dca6affd139176f9bba4efefcb3c5618291ba | [
"MIT"
] | null | null | null | from enum import Enum, unique
@unique
class State(Enum):
set_param = 1
auto_run = 2
manual = 3
| 12.111111 | 29 | 0.642202 | 17 | 109 | 4 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.038462 | 0.284404 | 109 | 8 | 30 | 13.625 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.833333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
19a5ee42c6ca30cd002cf63a2e0d823fe0df436f | 2,735 | py | Python | thermo/flash/__init__.py | RoryKurek/thermo | 985279467faa028234ab422a19b69385e5100149 | [
"MIT"
] | 380 | 2016-07-04T09:45:20.000Z | 2022-03-20T18:09:45.000Z | thermo/flash/__init__.py | RoryKurek/thermo | 985279467faa028234ab422a19b69385e5100149 | [
"MIT"
] | 104 | 2016-07-10T20:47:12.000Z | 2022-03-22T20:43:39.000Z | thermo/flash/__init__.py | RoryKurek/thermo | 985279467faa028234ab422a19b69385e5100149 | [
"MIT"
] | 96 | 2016-07-05T20:54:05.000Z | 2022-02-23T03:06:02.000Z | # -*- coding: utf-8 -*-
'''Chemical Engineering Design Library (ChEDL). Utilities for process modeling.
Copyright (C) 2019, 2020 Caleb Bell <Caleb.Andrew.Bell@gmail.com>
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.
This module contains classes and functions for performing flash calculations.
For reporting bugs, adding feature requests, or submitting pull requests,
please use the `GitHub issue tracker <https://github.com/CalebBell/thermo/>`_.
.. contents:: :local:
Main Interfaces
===============
Pure Components
---------------
.. autoclass:: FlashPureVLS
:show-inheritance:
:members: __init__
:exclude-members: __init__
Vapor-Liquid Systems
--------------------
.. autoclass:: FlashVL
:show-inheritance:
:members: __init__
:exclude-members: __init__
Vapor and Multiple Liquid Systems
---------------------------------
.. autoclass:: FlashVLN
:show-inheritance:
:members: __init__
:exclude-members: __init__
Base Flash Class
----------------
.. autoclass:: Flash
:show-inheritance:
:members: flash, plot_TP
:exclude-members:
Specific Flash Algorithms
=========================
It is recommended to use the Flash classes, which are designed to have generic
interfaces. The implemented specific flash algorithms may be changed in the
future, but reading their source code may be helpful for instructive purposes.
'''
from . import flash_utils
from . import flash_base
from . import flash_vl
from . import flash_vln
from . import flash_pure_vls
from .flash_utils import *
from .flash_base import *
from .flash_vl import *
from .flash_vln import *
from .flash_pure_vls import *
__all__ = (flash_utils.__all__ + flash_base.__all__ + flash_vl.__all__
+ flash_vln.__all__ + flash_pure_vls.__all__)
| 32.559524 | 79 | 0.740768 | 370 | 2,735 | 5.291892 | 0.483784 | 0.044944 | 0.038304 | 0.039837 | 0.072523 | 0.072523 | 0.072523 | 0.050051 | 0 | 0 | 0 | 0.003889 | 0.153931 | 2,735 | 83 | 80 | 32.951807 | 0.842264 | 0.853748 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.833333 | 0 | 0.833333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
5fdf36e1b5858aed1b21aea586e2dab8f04aa885 | 455 | py | Python | Hello/main.py | Cybermals/Kivy-Basics | 8df3309c2e96b20a47c473fc8c0002e1576b524f | [
"MIT"
] | null | null | null | Hello/main.py | Cybermals/Kivy-Basics | 8df3309c2e96b20a47c473fc8c0002e1576b524f | [
"MIT"
] | null | null | null | Hello/main.py | Cybermals/Kivy-Basics | 8df3309c2e96b20a47c473fc8c0002e1576b524f | [
"MIT"
] | null | null | null | #!/usr/bin/python3
"""A basic hello world app."""
from kivy.app import App
from kivy.uix.label import Label
#Classes
#===============================================================================
class HelloApp(App):
"""A basic Kivy app."""
def build(self):
"""Build the UI."""
return Label(text = "Hello World!")
#Entry Point
#===============================================================================
HelloApp().run() | 23.947368 | 80 | 0.402198 | 42 | 455 | 4.357143 | 0.619048 | 0.065574 | 0.120219 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002558 | 0.140659 | 455 | 19 | 81 | 23.947368 | 0.465473 | 0.549451 | 0 | 0 | 0 | 0 | 0.064516 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.833333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
27033c0ceee2e4a7e6cf007f8e8d595aaa51b663 | 2,339 | py | Python | aiautomation/log/abstract_log.py | marvinren/aiautomation | 639f57f502104dd170dca24dd9ff15d80c031e21 | [
"MIT"
] | null | null | null | aiautomation/log/abstract_log.py | marvinren/aiautomation | 639f57f502104dd170dca24dd9ff15d80c031e21 | [
"MIT"
] | null | null | null | aiautomation/log/abstract_log.py | marvinren/aiautomation | 639f57f502104dd170dca24dd9ff15d80c031e21 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
# coding=utf-8
import abc
from aiautomation.testcase.test_case_module import CaseInfo
from aiautomation.testcase.test_plan import PlanInfo
from aiautomation.utils.log import get_logger
class AbstractLog:
"""
该类为执行日志的基类，可以根据不同需要实现不同的的日志记录类实现相关方法
"""
__metaclass__ = abc.ABCMeta
STEP_TYPE_STEP = "STEP"
STEP_TYPE_COMPONENT = "COMPONENT"
STEP_TYPE_ELEMENT = "ELEMENT"
STEP_TYPE_CHECK = "CHECK"
START_STATUS = 0
SUCCESS_STATUS = 10
ERROR_STATUS = 11
def __init__(self, config=None):
self._test_plan = None
self._test_case = None
self._config = config
self.log = get_logger(__name__)
@property
def testcase(self):
return self._test_case
@testcase.setter
def testcase(self, value):
if value is not None and not isinstance(value, CaseInfo):
raise ValueError("%s日志类的计划属性，需要是CaseInfo类型" % __name__)
self._test_case = value
@property
def testplan(self):
return self._test_plan
@testplan.setter
def testplan(self, value):
if value is not None and not isinstance(value, PlanInfo):
raise ValueError("%s日志类的计划属性，需要是TestPlan类型" % __name__)
self._test_plan = value
def get_logger(self, name: object) -> object:
self.log = get_logger(name)
return self.log
def info(self, msg, *keys, **kwargs):
self.log.info(msg)
def debug(self, msg, *keys, **kwargs):
self.log.debug(msg)
def warn(self, msg, *keys, **kwargs):
self.log.warn(msg)
def error(self, msg, *keys, **kwargs):
self.log.error(msg)
@abc.abstractmethod
def step_log_before(self, oper_type, oper_name, oper_id, parent_oper_id = None, *key, **kwargs):
pass
@abc.abstractmethod
def step_log_after(self, oper_type, oper_name, oper_id, oper_time, result, log_content, parent_oper_id = None, *key, **kwargs):
pass
@abc.abstractmethod
def case_log_before(self, *key, **kwargs):
pass
@abc.abstractmethod
def case_log_after(self, result, run_time, log_content, *key, **kwargs):
pass
@abc.abstractmethod
def plan_log_before(self, *key, **kwargs):
pass
@abc.abstractmethod
def plan_log_after(self, *key, **kwargs):
pass | 25.988889 | 131 | 0.65156 | 294 | 2,339 | 4.921769 | 0.268707 | 0.033863 | 0.08293 | 0.055287 | 0.386317 | 0.335176 | 0.268832 | 0.232896 | 0.194886 | 0.131306 | 0 | 0.003964 | 0.244976 | 2,339 | 90 | 132 | 25.988889 | 0.815402 | 0.028645 | 0 | 0.222222 | 0 | 0 | 0.032416 | 0.021314 | 0 | 0 | 0 | 0 | 0 | 1 | 0.253968 | false | 0.095238 | 0.063492 | 0.031746 | 0.507937 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
270e16323cf48556c4896637ba90b0d3017a74a6 | 496 | py | Python | GUI Visualization/color.py | RezaFirouzii/a-star_algorithm_visualization | 08be4dca454c1125c7f6bd96df6f61959c5ef777 | [
"MIT"
] | null | null | null | GUI Visualization/color.py | RezaFirouzii/a-star_algorithm_visualization | 08be4dca454c1125c7f6bd96df6f61959c5ef777 | [
"MIT"
] | null | null | null | GUI Visualization/color.py | RezaFirouzii/a-star_algorithm_visualization | 08be4dca454c1125c7f6bd96df6f61959c5ef777 | [
"MIT"
] | null | null | null |
# bunch of color constants
class Color:
WHITE = (255, 255, 255)
BLACK = (0, 0, 0)
RED = (255, 0, 0)
BLUE = (0, 128, 255)
GREEN = (0, 153, 0)
YELLOW = (255, 255, 0)
BROWN = (204, 102, 0)
PINK = (255, 102, 178)
PURPLE = (153, 51, 255)
GREY = (128, 128, 128)
colors = {
1: WHITE,
2: YELLOW,
3: RED,
4: BLUE,
5: GREEN,
6: BLACK,
7: BROWN,
8: PINK,
9: PURPLE,
10: GREY
}
| 18.37037 | 27 | 0.425403 | 67 | 496 | 3.149254 | 0.507463 | 0.085308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.280702 | 0.425403 | 496 | 26 | 28 | 19.076923 | 0.459649 | 0.048387 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0.521739 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
271b37ad2f25ae5c76e4c2871ab8f6cebf7bd137 | 219 | py | Python | MonteCarloMarginalizeCode/Code/bin/util_CacheFileConvert.py | spfanning/research-projects-RIT | 34afc69ccb502825c81285733dac8ff993f79503 | [
"MIT"
] | 8 | 2019-10-23T01:18:44.000Z | 2021-07-09T18:24:36.000Z | MonteCarloMarginalizeCode/Code/bin/util_CacheFileConvert.py | spfanning/research-projects-RIT | 34afc69ccb502825c81285733dac8ff993f79503 | [
"MIT"
] | 7 | 2020-01-03T14:38:26.000Z | 2022-01-17T16:57:02.000Z | MonteCarloMarginalizeCode/Code/bin/util_CacheFileConvert.py | spfanning/research-projects-RIT | 34afc69ccb502825c81285733dac8ff993f79503 | [
"MIT"
] | 11 | 2019-10-23T01:19:50.000Z | 2021-11-20T23:35:39.000Z | #! /usr/bin/python
from __future__ import print_function
from glue.lal import Cache
from glue.lal import CacheEntry
import sys
for line in sys.stdin:
c = CacheEntry.from_T050017(line)
print(str(c), end=' ')
| 16.846154 | 37 | 0.730594 | 34 | 219 | 4.529412 | 0.617647 | 0.103896 | 0.142857 | 0.220779 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033149 | 0.173516 | 219 | 12 | 38 | 18.25 | 0.81768 | 0.077626 | 0 | 0 | 0 | 0 | 0.005 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.571429 | 0 | 0.571429 | 0.285714 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
27363662ac09381de379eccb556f5b97e3bce1e9 | 125 | py | Python | pytools/setup.py | ouyangxx10/my-skeleton | e32e33784a1883ee4528b17617df14f3114b0f5e | [
"Apache-2.0"
] | null | null | null | pytools/setup.py | ouyangxx10/my-skeleton | e32e33784a1883ee4528b17617df14f3114b0f5e | [
"Apache-2.0"
] | null | null | null | pytools/setup.py | ouyangxx10/my-skeleton | e32e33784a1883ee4528b17617df14f3114b0f5e | [
"Apache-2.0"
] | null | null | null | from distutils.core import setup
setup(name='pytools',
version='1.0',
scripts=['obmcutil', 'gpioutil'],
)
| 17.857143 | 39 | 0.608 | 14 | 125 | 5.428571 | 0.928571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020619 | 0.224 | 125 | 6 | 40 | 20.833333 | 0.762887 | 0 | 0 | 0 | 0 | 0 | 0.208 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.2 | 0 | 0.2 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
2742c70b0e2c158744925fc82a65ac6880e322b4 | 53 | py | Python | src/timer/constant/decimals.py | jakob-bagterp/timer-for-python | a48b60c8782bbf6d368d6ca2be249054c3b66c21 | [
"MIT"
] | 2 | 2022-03-22T11:14:37.000Z | 2022-03-24T14:27:13.000Z | src/timer/constant/decimals.py | jakob-bagterp/timer-for-python | a48b60c8782bbf6d368d6ca2be249054c3b66c21 | [
"MIT"
] | null | null | null | src/timer/constant/decimals.py | jakob-bagterp/timer-for-python | a48b60c8782bbf6d368d6ca2be249054c3b66c21 | [
"MIT"
] | null | null | null | DEFAULT: int = 2
MINIMUM: int = 0
MAXIMUM: int = 9
| 8.833333 | 16 | 0.622642 | 9 | 53 | 3.666667 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 0.264151 | 53 | 5 | 17 | 10.6 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
274426dab3adfbed7d3f7083b61cc7c29bb99e8f | 341 | py | Python | hard_way/ex18.py | kodywilson/lp3thw | bd8f399e807b3a6a9d0ab9aed538ba1a5f4ada8a | [
"MIT"
] | null | null | null | hard_way/ex18.py | kodywilson/lp3thw | bd8f399e807b3a6a9d0ab9aed538ba1a5f4ada8a | [
"MIT"
] | null | null | null | hard_way/ex18.py | kodywilson/lp3thw | bd8f399e807b3a6a9d0ab9aed538ba1a5f4ada8a | [
"MIT"
] | null | null | null | def print_two(*args):
arg1, arg2 = args
print(f"arg1: {arg1}, arg2: {arg2}")
def print_two_again(arg1, arg2):
print(f"arg1: {arg1}, arg2: {arg2}")
def print_one(arg1):
print(f"arg1: {arg1}")
def print_none():
print("I got nothing.")
print_two("Kody", "Wilson")
print_two_again("Kody", "Wilson")
print_one("First!")
print_none() | 20.058824 | 38 | 0.659824 | 54 | 341 | 3.981481 | 0.296296 | 0.148837 | 0.139535 | 0.195349 | 0.27907 | 0.27907 | 0.27907 | 0.27907 | 0 | 0 | 0 | 0.050676 | 0.131965 | 341 | 17 | 39 | 20.058824 | 0.675676 | 0 | 0 | 0.153846 | 0 | 0 | 0.304094 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.307692 | false | 0 | 0 | 0 | 0.307692 | 0.923077 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
2757dfc4e16b9233a2282c48178ae83163bc1b38 | 70 | py | Python | 07 - Listas/ex001.py | Ivoneideduarte/python-para-raspberryPi | 3ed5c78b8c3277a350c696216a664c4b827ea46e | [
"MIT"
] | 3 | 2021-04-22T18:11:31.000Z | 2021-08-17T12:06:22.000Z | 07 - Listas/ex001.py | Ivoneideduarte/python-para-raspberryPi | 3ed5c78b8c3277a350c696216a664c4b827ea46e | [
"MIT"
] | null | null | null | 07 - Listas/ex001.py | Ivoneideduarte/python-para-raspberryPi | 3ed5c78b8c3277a350c696216a664c4b827ea46e | [
"MIT"
] | null | null | null | palavras = ["brincando", "com", "ideias", "flavio"]
print(palavras[2]) | 35 | 51 | 0.657143 | 8 | 70 | 5.75 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015625 | 0.085714 | 70 | 2 | 52 | 35 | 0.703125 | 0 | 0 | 0 | 0 | 0 | 0.338028 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
275ebe650969c73da54c5df04ea02e6c1a5aaf33 | 1,265 | py | Python | Generate_Tile_Cache_Tiling_Scheme_from_Mosaic.py | mcfoi/arcpy-toolbox | 348ef55c7235b7c1eeece06aa4a0a244674f893e | [
"Apache-2.0"
] | 3 | 2015-04-24T15:36:33.000Z | 2020-08-06T16:53:56.000Z | Generate_Tile_Cache_Tiling_Scheme_from_Mosaic.py | mcfoi/arcpy-toolbox | 348ef55c7235b7c1eeece06aa4a0a244674f893e | [
"Apache-2.0"
] | null | null | null | Generate_Tile_Cache_Tiling_Scheme_from_Mosaic.py | mcfoi/arcpy-toolbox | 348ef55c7235b7c1eeece06aa4a0a244674f893e | [
"Apache-2.0"
] | 1 | 2020-07-21T00:11:51.000Z | 2020-07-21T00:11:51.000Z | # -*- coding: utf-8 -*-
# ---------------------------------------------------------------------------
# Generate_Tile_Cache_Tiling_Scheme_from_Mosaic.py
# Created on: 2015-04-08 16:06:58.00000
# (generated by ArcGIS/ModelBuilder)
# Description:
# ---------------------------------------------------------------------------
# Import arcpy module
import arcpy
Milano_2012_TIF_CTR_WM_projection_defined = arcpy.GetParameterAsText(0)
tilingscheme_xml = arcpy.GetParameterAsText(1)
# Local variables:
#Milano_2012_TIF_CTR_WM_projection_defined = "\\\\HW10196F-NB\\Cartografie (raster e vettoriali)\\2012_TIF_CTR_WM_projection_defined\\Mosaic.gdb\\Milano_2012_TIF_CTR_WM_projection_defined"
tilingscheme_xml = "\\\\HW10196F-NB\\Cartografie (raster e vettoriali)\\2012_TIF_CTR_WM_projection_defined\\tilingscheme.xml"
# Process: Generate Tile Cache Tiling Scheme
arcpy.GenerateTileCacheTilingScheme_management(Milano_2012_TIF_CTR_WM_projection_defined, tilingscheme_xml, "NEW", "16", "", "9244648,868618;4622324,434309;2311162,217155;1155581,108577;577790,554289;288895,277144;144447,638572;72223,819286;36111,909643;18055,954822;9027,977411;4513,988705;2256,994353;1128,497176;282;141", "SCALE", "-20037700 30241100", "96", "256 x 256", "MIXED", "75", "COMPACT")
| 57.5 | 400 | 0.705138 | 151 | 1,265 | 5.615894 | 0.609272 | 0.049528 | 0.070755 | 0.084906 | 0.444575 | 0.376179 | 0.376179 | 0.293632 | 0.275943 | 0.158019 | 0 | 0.211814 | 0.063241 | 1,265 | 21 | 401 | 60.238095 | 0.503797 | 0.456126 | 0 | 0 | 1 | 0.2 | 0.522963 | 0.428148 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
27af82a7b2f73bd8c45c83d382d5ccbe8842d88c | 304 | py | Python | tests/conftest.py | evrardjp/osa-cli | 7aff5eede4898ad3532a26abc6b54c9a45e108f5 | [
"Apache-2.0"
] | null | null | null | tests/conftest.py | evrardjp/osa-cli | 7aff5eede4898ad3532a26abc6b54c9a45e108f5 | [
"Apache-2.0"
] | 55 | 2018-12-16T14:12:01.000Z | 2020-08-10T07:35:14.000Z | tests/conftest.py | evrardjp/osa-cli | 7aff5eede4898ad3532a26abc6b54c9a45e108f5 | [
"Apache-2.0"
] | null | null | null | """ Global testing fixtures """
import pytest
import click
import osa.defaults
import osa.utils
@pytest.fixture(scope="session")
def clickrunner():
""" Initialize a cli runner function with a standard env"""
osa.utils.mktestdir(osa.defaults.folder_defaults)
return click.testing.CliRunner() | 25.333333 | 63 | 0.75 | 39 | 304 | 5.820513 | 0.666667 | 0.079295 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.138158 | 304 | 12 | 64 | 25.333333 | 0.866412 | 0.25 | 0 | 0 | 0 | 0 | 0.032558 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | true | 0 | 0.5 | 0 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
27bea6dafbf20766967293a5e6d16f19e32aa17f | 157 | py | Python | visda/evaluation_metrics/__init__.py | zhoufengfan/MMT-plus | e95db1452d3480518a851dd7ffa07208522f2614 | [
"MIT"
] | 30 | 2020-10-12T16:48:59.000Z | 2022-02-02T14:53:22.000Z | visda/evaluation_metrics/__init__.py | zhoufengfan/MMT-plus | e95db1452d3480518a851dd7ffa07208522f2614 | [
"MIT"
] | 4 | 2021-01-12T11:37:45.000Z | 2021-03-07T04:06:55.000Z | visda/evaluation_metrics/__init__.py | zhoufengfan/MMT-plus | e95db1452d3480518a851dd7ffa07208522f2614 | [
"MIT"
] | 9 | 2020-10-27T14:37:43.000Z | 2022-02-18T08:35:49.000Z | from __future__ import absolute_import
from .classification import accuracy
from .eval_reid import eval_func
__all__ = [
'accuracy',
'eval_func'
]
| 15.7 | 38 | 0.757962 | 19 | 157 | 5.631579 | 0.526316 | 0.149533 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.178344 | 157 | 9 | 39 | 17.444444 | 0.829457 | 0 | 0 | 0 | 0 | 0 | 0.10828 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.428571 | 0 | 0.428571 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
27d3fa0314a08753e1ee5daa571ab7ea075e8118 | 527 | py | Python | simpletrello/exceptions.py | csansone/simpletrello | 1315145f5c30e4c27b3238493596fcaeb3734c22 | [
"MIT"
] | null | null | null | simpletrello/exceptions.py | csansone/simpletrello | 1315145f5c30e4c27b3238493596fcaeb3734c22 | [
"MIT"
] | 7 | 2017-12-11T09:15:44.000Z | 2018-03-29T03:51:22.000Z | simpletrello/exceptions.py | csansone/simpletrello | 1315145f5c30e4c27b3238493596fcaeb3734c22 | [
"MIT"
] | null | null | null | # coding: utf-8
"""exceptions.py"""
from __future__ import print_function, unicode_literals
class RateLimitExceeded(Exception):
"""Raise when an http request returns status code 429.
There is a limit of 300 requests per 10 seconds for each API key
and no more than 100 requests per 10 second interval for each token.
If a request exceeds the limit, Trello will return a 429 error.
"""
pass
class AuthenticationError(Exception):
"""Raise when expected API credentials are not found."""
pass
| 27.736842 | 72 | 0.728653 | 76 | 527 | 4.973684 | 0.789474 | 0.074074 | 0.095238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04067 | 0.206831 | 527 | 18 | 73 | 29.277778 | 0.863636 | 0.624288 | 0 | 0.4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.4 | 0.2 | 0 | 0.6 | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
7e01b590397d247c9153e4759baabfca3df6a652 | 5,837 | py | Python | static/emoji.py | soran-ghadri/Chromusic_search_engine | 1f30e2627c78ef07ae5be868967ee547f45e365f | [
"MIT"
] | 2 | 2020-11-29T23:35:34.000Z | 2020-11-29T23:36:06.000Z | static/emoji.py | soran-ghadri/Chromusic_search_engine | 1f30e2627c78ef07ae5be868967ee547f45e365f | [
"MIT"
] | null | null | null | static/emoji.py | soran-ghadri/Chromusic_search_engine | 1f30e2627c78ef07ae5be868967ee547f45e365f | [
"MIT"
] | null | null | null | """####################################################################
# Copyright (C) #
# 2020 Soran Ghadri(soran.gdr.cs@gmail.com) #
# Permission given to modify the code as long as you keep this #
# declaration at the top #
####################################################################"""
"""
This module provides the necessary emojis used by the agent (bot)
"""
import emoji
# -------------Country Flags--------------------
_en = emoji.EMOJI_ALIAS_UNICODE[':United_States:']
_fa = emoji.EMOJI_ALIAS_UNICODE[':Iran:']
_ar = emoji.EMOJI_ALIAS_UNICODE[':Saudi_Arabia:']
_hi = emoji.EMOJI_ALIAS_UNICODE[':India:']
_ru = emoji.EMOJI_ALIAS_UNICODE[':Russia:']
_zap = emoji.EMOJI_ALIAS_UNICODE[':zap:']
_globe_showing_Americas = emoji.EMOJI_ALIAS_UNICODE[':globe_showing_Americas:']
# -------------Surprize--------------------------
_party_popper = emoji.EMOJI_ALIAS_UNICODE[':party_popper:']
_confetti_ball = emoji.EMOJI_ALIAS_UNICODE[':confetti_ball:']
# -------------music--------------------------
_headphone = emoji.EMOJI_ALIAS_UNICODE[':headphone:']
_studio_microphone = emoji.EMOJI_ALIAS_UNICODE[':studio_microphone:']
# -------------Utility and place--------------------------
_round_pushpin = emoji.EMOJI_ALIAS_UNICODE[':round_pushpin:']
_pushpin = emoji.EMOJI_ALIAS_UNICODE[':pushpin:']
_search_emoji = emoji.EMOJI_ALIAS_UNICODE[':mag_right:']
_house_with_garden = emoji.EMOJI_ALIAS_UNICODE[':house_with_garden:']
_house = emoji.EMOJI_ALIAS_UNICODE[':house:']
_BACK_arrow = emoji.EMOJI_ALIAS_UNICODE[':BACK_arrow:']
_star_struck = emoji.EMOJI_ALIAS_UNICODE[':star-struck:']
_artist_palette = emoji.EMOJI_ALIAS_UNICODE[':artist_palette:']
_green_circle = emoji.EMOJI_ALIAS_UNICODE[':green_circle:']
_backhand_index_pointing_right = emoji.EMOJI_ALIAS_UNICODE[':left_arrow_curving_right:']
_exclamation_question_mark = emoji.EMOJI_ALIAS_UNICODE[':exclamation_question_mark:']
_mobile_phone_with_arrow = emoji.EMOJI_ALIAS_UNICODE[':mobile_phone_with_arrow:']
_chart_increasing = emoji.EMOJI_ALIAS_UNICODE[':chart_increasing:']
_bar_chart = emoji.EMOJI_ALIAS_UNICODE[':bar_chart:']
_check_mark_button = emoji.EMOJI_ALIAS_UNICODE[':white_check_mark:']
_gear = emoji.EMOJI_ALIAS_UNICODE[':gear:']
_wrench = emoji.EMOJI_ALIAS_UNICODE[':wrench:']
_cross_mark = emoji.EMOJI_ALIAS_UNICODE[':cross_mark:']
_musical_note = emoji.EMOJI_ALIAS_UNICODE[':musical_note:']
_thumbs_up = emoji.EMOJI_ALIAS_UNICODE[':thumbs_up:']
_thumbs_down = emoji.EMOJI_ALIAS_UNICODE[':thumbs_down:']
_plus = emoji.EMOJI_ALIAS_UNICODE[':heavy_plus_sign:']
_fountain_pen = emoji.EMOJI_ALIAS_UNICODE[':fountain_pen:']
_traffic_light = emoji.EMOJI_ALIAS_UNICODE[':traffic_light:']
_checkmark_emoji = emoji.EMOJI_ALIAS_UNICODE[':white_check_mark:']
_floppy_emoji = emoji.EMOJI_ALIAS_UNICODE[':floppy_disk:']
_clock_emoji = emoji.EMOJI_ALIAS_UNICODE[':hourglass_flowing_sand:']
# -------------Books--------------------------
_books = emoji.EMOJI_ALIAS_UNICODE[':books:']
_book_emoji = emoji.EMOJI_ALIAS_UNICODE[':green_book:']
# -------------Hearts--------------------------
_red_heart = emoji.EMOJI_ALIAS_UNICODE[':red_heart:']
_orange_heart = emoji.EMOJI_ALIAS_UNICODE[':orange_heart:']
_yellow_heart = emoji.EMOJI_ALIAS_UNICODE[':yellow_heart:']
_green_heart = emoji.EMOJI_ALIAS_UNICODE[':green_heart:']
_blue_heart = emoji.EMOJI_ALIAS_UNICODE[':blue_heart:']
# -------------Plants--------------------------
_purple_heart = emoji.EMOJI_ALIAS_UNICODE[':purple_heart:']
_seedling = emoji.EMOJI_ALIAS_UNICODE[':seedling:']
_evergreen_tree = emoji.EMOJI_ALIAS_UNICODE[':evergreen_tree:']
_deciduous_tree = emoji.EMOJI_ALIAS_UNICODE[':deciduous_tree:']
_palm_tree = emoji.EMOJI_ALIAS_UNICODE[':palm_tree:']
_sheaf_of_rice = emoji.EMOJI_ALIAS_UNICODE[':sheaf_of_rice:']
_herb = emoji.EMOJI_ALIAS_UNICODE[':herb:']
_shamrock = emoji.EMOJI_ALIAS_UNICODE[':shamrock:']
_four_leaf_clover = emoji.EMOJI_ALIAS_UNICODE[':four_leaf_clover:']
_fallen_leaf = emoji.EMOJI_ALIAS_UNICODE[':fallen_leaf:']
_leaf_fluttering_in_wind = emoji.EMOJI_ALIAS_UNICODE[':leaf_fluttering_in_wind:']
# -------------Fruits--------------------------
_apple = emoji.EMOJI_ALIAS_UNICODE[':apple:']
_candy = emoji.EMOJI_ALIAS_UNICODE[':candy:']
_watermelon = emoji.EMOJI_ALIAS_UNICODE[':watermelon:']
_peach = emoji.EMOJI_ALIAS_UNICODE[':peach:']
_strawberry = emoji.EMOJI_ALIAS_UNICODE[':strawberry:']
_tea = emoji.EMOJI_ALIAS_UNICODE[':tea:']
_cherry_blossom = emoji.EMOJI_ALIAS_UNICODE[':cherry_blossom:']
_maple_leaf = emoji.EMOJI_ALIAS_UNICODE[':maple_leaf:']
_pineapple = emoji.EMOJI_ALIAS_UNICODE[':pineapple:']
_tangerine = emoji.EMOJI_ALIAS_UNICODE[':tangerine:']
_grapes = emoji.EMOJI_ALIAS_UNICODE[':grapes:']
_carrot = emoji.EMOJI_ALIAS_UNICODE[':carrot:']
_ear_of_corn = emoji.EMOJI_ALIAS_UNICODE[':ear_of_corn:']
_mushroom = emoji.EMOJI_ALIAS_UNICODE[':mushroom:']
_lemon = emoji.EMOJI_ALIAS_UNICODE[':lemon:']
_cherries = emoji.EMOJI_ALIAS_UNICODE[':cherries:']
# -------------Faces--------------------------
_smiling_face_with_heart = emoji.EMOJI_ALIAS_UNICODE[':smiling_face_with_heart-eyes:']
_face_blowing_a_kiss = emoji.EMOJI_ALIAS_UNICODE[':face_blowing_a_kiss:']
_face_with_raised_eyebrow = emoji.EMOJI_ALIAS_UNICODE[':face_with_raised_eyebrow:']
_smiling_face_with_sunglasses = emoji.EMOJI_ALIAS_UNICODE[':smiling_face_with_sunglasses:']
_winking_face = emoji.EMOJI_ALIAS_UNICODE[':winking_face:']
# a list to randomly choose from
fruit_list = [_grapes, _tangerine, _pineapple, _lemon, _cherries, _apple, _candy, _watermelon,
_peach, _strawberry, _tea, _cherry_blossom, _maple_leaf, _carrot, _ear_of_corn, _mushroom]
heart_list = [_red_heart, _orange_heart, _yellow_heart, _green_heart, _blue_heart, _purple_heart]
| 51.654867 | 104 | 0.716635 | 700 | 5,837 | 5.392857 | 0.258571 | 0.217219 | 0.30596 | 0.448742 | 0.243444 | 0.038676 | 0.038676 | 0 | 0 | 0 | 0 | 0.000748 | 0.083776 | 5,837 | 112 | 105 | 52.116071 | 0.705123 | 0.151105 | 0 | 0 | 0 | 0 | 0.217382 | 0.05301 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.012346 | 0 | 0.012346 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
fd6a3064e8c029a5ddac91976a2d60ab543c1375 | 166 | py | Python | scripts/npc/2210013.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 54 | 2019-04-16T23:24:48.000Z | 2021-12-18T11:41:50.000Z | scripts/npc/2210013.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 3 | 2019-05-19T15:19:41.000Z | 2020-04-27T16:29:16.000Z | scripts/npc/2210013.py | G00dBye/YYMS | 1de816fc842b6598d5b4b7896b6ab0ee8f7cdcfb | [
"MIT"
] | 49 | 2020-11-25T23:29:16.000Z | 2022-03-26T16:20:24.000Z | # Chino (2210013) | Colossus Road : Chino's Lift: The Road Up & Down
sm.setPlayerAsSpeaker()
sm.sendNext("Hey..")
sm.setSpeakerID(parentID)
sm.sendSayOkay("No.") | 23.714286 | 71 | 0.704819 | 22 | 166 | 5.318182 | 0.772727 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048611 | 0.13253 | 166 | 7 | 72 | 23.714286 | 0.763889 | 0.415663 | 0 | 0 | 0 | 0 | 0.083333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
fd6b7c3f62a3250d575e4b2254ab267c73e3079b | 52 | py | Python | features/environment.py | lazaromer97/fizz-buzz-test | 875a19e1ca415a30f137bb803358f758ebf9f368 | [
"MIT"
] | 1 | 2020-12-19T03:43:38.000Z | 2020-12-19T03:43:38.000Z | features/environment.py | lazaromer97/fizz-buzz-test | 875a19e1ca415a30f137bb803358f758ebf9f368 | [
"MIT"
] | null | null | null | features/environment.py | lazaromer97/fizz-buzz-test | 875a19e1ca415a30f137bb803358f758ebf9f368 | [
"MIT"
] | null | null | null | def django_ready(context):
context.django = True | 26 | 26 | 0.75 | 7 | 52 | 5.428571 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153846 | 52 | 2 | 27 | 26 | 0.863636 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
fd6d00265b1e027417c67d9089bc8d85e697c1cb | 646 | py | Python | astro_scripts/__init__.py | DanielAndreasen/astro_scripts | 03f2d405beebfe5cb4ee65d4939ff0992ffc8032 | [
"MIT"
] | 8 | 2015-12-11T13:46:34.000Z | 2018-12-13T07:36:23.000Z | astro_scripts/__init__.py | DanielAndreasen/astro_scripts | 03f2d405beebfe5cb4ee65d4939ff0992ffc8032 | [
"MIT"
] | 72 | 2015-03-25T11:45:19.000Z | 2021-12-27T15:01:06.000Z | astro_scripts/__init__.py | DanielAndreasen/astro_scripts | 03f2d405beebfe5cb4ee65d4939ff0992ffc8032 | [
"MIT"
] | 2 | 2015-08-28T13:21:14.000Z | 2015-12-11T13:46:01.000Z | from astro_scripts.plot_fits import runner as plot_fits
from astro_scripts.numpy2moog import runner as numpy2moog
from astro_scripts.fitsHeader import main as fitsheader
from astro_scripts.ascii2fits import main as ascii2fits
from astro_scripts.CRIRES2ARES import runner as CRIRES2ARES
from astro_scripts.linelist_filter import main as linelist_filter
from astro_scripts.rv_measure import runner as rv_measure
from astro_scripts.VALDextraction import main as VALDextraction
from astro_scripts.VALDprepare import runner as VALDprepare
from astro_scripts.vizier_query import main as vizier_query
from astro_scripts.SWEETCat import main as SWEETCat
| 53.833333 | 65 | 0.880805 | 96 | 646 | 5.729167 | 0.229167 | 0.18 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010345 | 0.102167 | 646 | 11 | 66 | 58.727273 | 0.937931 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
fd6f27b7b74ff908668803a1f6d0bfaf4effdb48 | 274 | py | Python | Detection_Cheating/api_v1/analysis.py | kimheejoo/Detection_Cheating_Server | 488a9c61ab5c3030c7949695549f2edc34f20be1 | [
"MIT"
] | 2 | 2022-01-04T05:50:50.000Z | 2022-03-10T05:57:56.000Z | Detection_Cheating/api_v1/analysis.py | kimheejoo/Detection_Cheating_Server | 488a9c61ab5c3030c7949695549f2edc34f20be1 | [
"MIT"
] | null | null | null | Detection_Cheating/api_v1/analysis.py | kimheejoo/Detection_Cheating_Server | 488a9c61ab5c3030c7949695549f2edc34f20be1 | [
"MIT"
] | 2 | 2021-01-05T15:50:32.000Z | 2021-09-28T06:23:35.000Z | from api_v1 import api
from flask import request
from flask import jsonify
from controllers.analysis_con import network_analysis_con
@api.route("/network/<student_id>", methods=["POST"])
def network_analysis(student_id):
return jsonify(network_analysis_con(student_id)) | 34.25 | 57 | 0.817518 | 40 | 274 | 5.35 | 0.45 | 0.154206 | 0.140187 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004032 | 0.094891 | 274 | 8 | 58 | 34.25 | 0.858871 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 0.076364 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.571429 | 0.142857 | 0.857143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 3 |
fdaec5f11c32cf41cbe3d052dc554211511ead80 | 296 | py | Python | tests/forms.py | Timusan/wtforms-dynamic-fields | d984a646075219a6f8a0e931c96035ca3e44be56 | [
"BSD-3-Clause"
] | 20 | 2015-08-02T13:01:26.000Z | 2021-06-02T18:28:09.000Z | tests/forms.py | Timusan/wtforms-dynamic-fields | d984a646075219a6f8a0e931c96035ca3e44be56 | [
"BSD-3-Clause"
] | 3 | 2015-06-25T11:06:32.000Z | 2016-04-19T07:45:36.000Z | tests/forms.py | Timusan/wtforms-dynamic-fields | d984a646075219a6f8a0e931c96035ca3e44be56 | [
"BSD-3-Clause"
] | 5 | 2016-05-07T16:10:37.000Z | 2020-09-07T20:33:30.000Z | from wtforms import Form, TextField
from wtforms.validators import InputRequired, ValidationError
class SimpleForm(Form):
""" The basic test form. """
first_name = TextField("First name", validators=[InputRequired()])
last_name = TextField("Last name", validators=[InputRequired()])
| 37 | 70 | 0.743243 | 32 | 296 | 6.8125 | 0.5 | 0.100917 | 0.247706 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.138514 | 296 | 7 | 71 | 42.285714 | 0.854902 | 0.067568 | 0 | 0 | 0 | 0 | 0.070896 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
fdd1954dc362263587f0b6cb5a04bb73da5e4406 | 221 | py | Python | resources_portal/tests/views/test_user.py | AlexsLemonade/python-flask-demo | 247780aa5ecfd6ce9b876514f96b2048549857d2 | [
"BSD-3-Clause"
] | null | null | null | resources_portal/tests/views/test_user.py | AlexsLemonade/python-flask-demo | 247780aa5ecfd6ce9b876514f96b2048549857d2 | [
"BSD-3-Clause"
] | null | null | null | resources_portal/tests/views/test_user.py | AlexsLemonade/python-flask-demo | 247780aa5ecfd6ce9b876514f96b2048549857d2 | [
"BSD-3-Clause"
] | null | null | null | from resources_portal.tests.test_utils import ApiTestCase
class UserTestCase(ApiTestCase):
def test_list_empty(self):
user_list = self.client.get("/users")
self.assertEqual([], user_list.get_json())
| 27.625 | 57 | 0.728507 | 28 | 221 | 5.5 | 0.714286 | 0.103896 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.158371 | 221 | 7 | 58 | 31.571429 | 0.827957 | 0 | 0 | 0 | 0 | 0 | 0.027149 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
fde4085c9d49149058f2f70fc5b942d0b4be3966 | 1,751 | py | Python | sortingview/experimental/SpikeSortingView/old/SpikeSortingView.py | magland/sortingview | 0b1be9d55048cd4b8a0b6b6733bd7d35cb440aa7 | [
"Apache-2.0"
] | 2 | 2021-11-19T04:51:42.000Z | 2022-03-12T23:36:19.000Z | sortingview/experimental/SpikeSortingView/old/SpikeSortingView.py | magland/sortingview | 0b1be9d55048cd4b8a0b6b6733bd7d35cb440aa7 | [
"Apache-2.0"
] | 172 | 2021-05-10T17:39:15.000Z | 2022-03-18T21:46:15.000Z | sortingview/experimental/SpikeSortingView/old/SpikeSortingView.py | magland/sortingview | 0b1be9d55048cd4b8a0b6b6733bd7d35cb440aa7 | [
"Apache-2.0"
] | 2 | 2021-08-29T20:13:57.000Z | 2022-03-12T23:36:34.000Z | import math
from typing import Union
from sortingview.extractors import LabboxEphysRecordingExtractor, LabboxEphysSortingExtractor
class SpikeSortingView:
def __init__(self, *,
recording: LabboxEphysRecordingExtractor,
sorting: LabboxEphysSortingExtractor,
segment_duration_minutes: float
) -> None:
self._recording = recording
self._sorting = sorting
self._segment_duration_minutes = segment_duration_minutes
@property
def recording(self):
return self._recording
@property
def sorting(self):
return self._sorting
@property
def segment_duration_minutes(self):
return self._segment_duration_minutes
@property
def duration_minutes(self):
return self._recording.get_num_frames() / self._recording.get_sampling_frequency() / 60
@property
def num_segments(self):
return math.ceil(self.duration_minutes / self.segment_duration_minutes)
@property
def unit_ids(self):
return self._sorting.get_unit_ids()
@property
def channel_ids(self):
return self._recording.get_channel_ids()
@property
def sampling_frequency(self):
return self._recording.get_sampling_frequency()
def get_segment(self, start_index: int, end_index: Union[int, None]=None):
from .SSVSegment import SSVSegment
if end_index is None:
end_index = start_index + 1
start_frame = start_index * self.segment_duration_minutes * 60 * self.sampling_frequency
end_frame = min(start_frame + self._segment_duration_minutes * 60 * self.sampling_frequency, self._recording.get_num_frames())
return SSVSegment(parent=self, start_frame=start_frame, end_frame=end_frame) | 39.795455 | 134 | 0.720731 | 198 | 1,751 | 6.035354 | 0.227273 | 0.125523 | 0.14728 | 0.108787 | 0.340586 | 0.143933 | 0.082008 | 0.082008 | 0 | 0 | 0 | 0.005043 | 0.20731 | 1,751 | 44 | 135 | 39.795455 | 0.855908 | 0 | 0 | 0.186047 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.232558 | false | 0 | 0.093023 | 0.186047 | 0.55814 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
fde7760fc0d79203ff07f07390126df57f300819 | 600 | py | Python | test.py | microgravitas/platypus | e42bd960636437c8d057307905eb46c9b5038a3e | [
"MIT"
] | null | null | null | test.py | microgravitas/platypus | e42bd960636437c8d057307905eb46c9b5038a3e | [
"MIT"
] | null | null | null | test.py | microgravitas/platypus | e42bd960636437c8d057307905eb46c9b5038a3e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import math, sys
import platypus
from platypus import *
from collections import Counter, defaultdict
print(K(5,5).is_bipartite())
print(K(2).is_bipartite())
print(K(3).is_bipartite())
print(P(11).is_bipartite())
# path = "../../data/network-corpus/networks/{}.txt.gz"
# G = EditGraph.from_file(path.format('bergen'))
# G.remove_loops()
# print(G)
# DTF = DTFGraph.orient(G)
# print(DTF)
# r = 2
# D = DTF.domset(r)
# print(f"{r}-domset: {D}")
# covered = G.r_neighbourhood(D, 2)
# print(len(G) == len(covered))
# dist = DTF.small_distance(1, 52)
# print(dist)
| 15 | 55 | 0.66 | 93 | 600 | 4.172043 | 0.537634 | 0.113402 | 0.123711 | 0.087629 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023166 | 0.136667 | 600 | 39 | 56 | 15.384615 | 0.725869 | 0.571667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0.5 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 3 |
fdea651dae1763dcb7d4abaa9eb1253c75e9149f | 131,633 | py | Python | large-repo-master/test-3/nb31.py | victorsun123/numpy | 1fb036758b4035ab2c132d26f420e5bc3ffc917e | [
"BSD-3-Clause"
] | null | null | null | large-repo-master/test-3/nb31.py | victorsun123/numpy | 1fb036758b4035ab2c132d26f420e5bc3ffc917e | [
"BSD-3-Clause"
] | null | null | null | large-repo-master/test-3/nb31.py | victorsun123/numpy | 1fb036758b4035ab2c132d26f420e5bc3ffc917e | [
"BSD-3-Clause"
] | null | null | null | # Databricks notebook source
LWILIOBCIMDGCHFASADRRGZCLIILUWO
RAZOIMPPJWANJOYLINMNWZBNP
ZGJJDFPYWBFLTPDCBSYJNCJLHEJLZASADWKGDWRMJCBBBOCJBPWLLGBPKTLMNQTFQKMHEEICHICAMKGNLTSAYULKKXJFNPLKAALUFPSLDWIHHUGNWKEMGMXWBDG
GSTFBJXBKRCGZHILZPJRUOFWRVWWKVAIDTEK
NIKIMPVFKIFHNJSLWLJZOHICCULWGGJJSWLHQFHQQUCDPJRBGAS
OBARCRYIKLKKEZ
LTMFPWWTMPGTWYZSZGNJRTDSPGBIGXISXJXPTULAPLSNQMVMYCVYFJISRDU
VFJBARNUROSYIYZOSMAGFYZMOHCTUBFYLEPZYB
# COMMAND ----------
DGWGHALRMQURGIBSLGLCUZBOYDMSXGBSHTBVOAIYVBBQZHZKGFWNZVGLYANUDVRIGBEYRDIAAOIIDOQCGRKVHPARPPMFYNM
IHRWIVIZZBRXGJFFSWMGSJTBRSHDCAXMJBUSEPVINTDNKGWDGULN
ONHGTRAEOEBCBGRYYUCOXSPJECKZXDTGDDTUOCQGOTBZITAO
CWRVYGFCCLCJXSTXUCGUAUECPYMWZGFUUIOXFLSXJPMLRKDCVECC
FEUDWWATHDRQLSSQWVDOPBBQUPQKKGSKQRJHDZYLNPIXQSXUKLNXO
OVXFXIX
EIOYNYEQCVLHXBFYAIOOBLAWUFWEUPGXCJCJTKCIVYYNTTBJLYMCJLBGLPLEDEZCPYJHJNTBPFSCPYQSBT
QNSLXJBZWIURDJQLIYAYJRYEJBBALQCSTHZECFGMZTGAGVZQBUOSBVZTXQWBLQMIPKPLPESUPWDLKDIF
ZQYTRACXSNLTYQOCMTVPVGIZTMPVSRYDQZ
LAGMUTXVFMIAWEOIMXLXSJHDPFRFZJHICXLBYIJUVBAKVSWJVHUB
BOOJNZULSXHUJGXBUQXOMXUMPWMIDPKXQMUHNWHVLMXMJFELFQ
XGCGYIFAMOSSQPHWVZJOADDFZRIWOHUJGZYCYWJEDEK
RIRNCGHKNPUKEGEHBFVAVQDROPLBUVXEHJPOMSEYXLGNEOTGFENCXUFYYYERPSDFFHG
UWMJXVHAXCIHVQWNUOJBDWLSCCHILCVFGUQFETYRXROLSXSNCMRGAZLJAPKDGTZ
JHCLQFMOLOZDRNDTAAPXJGFAOANTQCFGWPIVQAYAWIHNKXSZ
AZBCUKQAOJOAFFJVRZGMJJEMGUQFPBRPBXBLVOYTH
XWGLGUJRBVFQJGKHJXJXXEFCWJKUAFLCSBKRHYGQTFI
AVIMEFVZBRZWKDUMTMIFZGWTZZELLWKFADKUFLTKNMFCKKLAHTBZTCZEMBXERHSJVYMUJNSVHGVMODPSPC
LNORSSG
GLFQUQHLPEOWUBGQHHFJPQHPAZPBN
WEUVWYHZBFSMOQEQIYKJDBAWEMAFCYBAQWNXYGEKUJLTXZHZZLSAAX
FDCZYEBVXMWLVQOIHIPZAZKZMNLHTLYRYTZIGTFDOTSPBGDWNMYZVDZXFYKPXMA
MPDMUQKRYFXQUAUNMSABQVVIRHJAIDLEQLNZRLWIQXSAKGSRILKHBQHFXYKEZWUOPOPAVANZQLDUOZDNVROIJX
WBNAVXZFVRFYBVLKXAQGJZPLKIXVVPK
RJRHBKNSGNUJOGWWITEQPAUKKMWQSUMGRITOQWTZTMLECQFLYWAVGQRQDSKDIDGMHZXCKW
NEAYACLVM
BJEWCELIIJLMFWFQOKJKLRZQYFYHYMQHESIXXQWFZQWHAFEOWXGKOZFQVQLZVYDNDFQCXISGQCCQO
OJQSVZCVRRJEKAFBORZOMOCCPQWO
KRLBLVVNZGIJGBFSKOWWJKXALPEZHKSMUUVZBNUYYNRPHUZGNVF
UMQQNULKEGYOYRPDEQOTINCJCGPLSDIQIWIUVPLZGCXWYFBPMZSVZRJTEV
DTKGQZARZLDCVFOVSGLQJQQNELRFBOFPSFHWDMUORTZTFGVZ
DHKGAIYLILHZHHABUWBXJUUNUXOEKZGNCCQZSNIZFNIUBFDIAXXARASUOVZN
GAOMCAQOPZSMUYUAHTVMUSAVUNHPHJELFBGIQZHAGIHPLTICWFNQXWHMOKHMZ
LSRMPTODMLHQHVTBFTDCWOIHIXUZQLQYL
CARGTTKBAPFUDJVSTUQGSVQTKVCURQOQJLABJVYNOFRZCVA
DIDZZQCIQTNWRTPONXXNJSLHIUPPUEJSYA
VGQSQRFNCMONAUXYSNBBPBQSEWGYUMCXQLZHITKJGSE
LBLMRTFJYWBAAFCQRMNEXUM
EKEYDZOLXHQIZDBKBTBIKWTQI
LQYUHIWZPUPQMHBWVMLH
# COMMAND ----------
LBOBLWIWRZQBSKKIHDQTZBJPRUJTAZDWHFJYVLLBLVFWKY
YJCXJPQCIEPUFLMCWTQBTCJZVOCHXYRCFGWYDGKOUSZRCCIEDVCUOXFVZTYYVTWGPKOEHCLNNQQSGTMJXJBMECLMO
WGXSFFFZZQFRBDOOWBEZNTDUE
ZX
# COMMAND ----------
XGVVSYEUFFLGRUWCILXKUXCACHCXPLIXDUMNWJQVKUMCYL
TSXRGXXKFIMKEWPDMDGSKTVSCQNI
EFUHWGSPSWIKCHNGEWZCBJTRPTIEJCCZAMXZUEY
# COMMAND ----------
LHYHSLYVYHWMDUMAPXJUYPIIJJH
AVYVGYNKJOZBVDYGQZXFZQKBLTGE
CMLXMZUIBDFADBUXJYILBJYKISN
KPJZCSECUINJKXTABHBEVGIRDGD
NCAQKRZAJQHLHSDFIHOLPNQBGXUI
QKTYXPJRFIVRTRQVRJGZBFNZHTIYVX
RDKBDRDSUKTLPRHFVHGNKJFMPWI
YMWWSJADUVFAXKCBMXFORSUUBONGI
ACZBLWGQCFNSIKDIHUVTUPMPYU
VJDGIMBWLKFEDPGAROUFBXDRTWTPJCH
WNIJICVSOVGASHPDSKGVUWXUKGAS
# COMMAND ----------
JTPOWBTCELVMYZTZURHBOJCFWIHU
WGWMIQX
JIPXRNHPLPOXMGMUCSORLWZMQIORONOYFQSENSLBBCTFRMFJXDPRKOGGKNCIVYWQUQBKXMBSQVKCYIVUML
MBLMJFWDLXCPHZJFJNONWKDIOYUFHSHHGWEORYSO
WEBYVTOIYMYJOTHOTYRGPZXZEAALSCDCFRPNGYSPQFMBYWSLIJZTAHDZOABJNQGIPAGQCGWBEGRCFDLDRYARSS
EHCNUQVIXGIZDOIKTNMLDQXVIQHYIMFRPYXDNKMLAWJMDJNHCBDODWYPTCKSGETAQDJWOTTEXFDCVFMFWF
HOQXJOP
GYPSKRHXQOKNTOKQHPVWYUUFD
HXTXPUQFTLYUBSUXOFJDDCZMXXWESXIZLRCBVVESULRMY
ZQANZEXLOGHLEEACQHQIAAETOXSQYVCTMTBIZQAJIZUSZIJAU
UICPSUQNTXBIYVWEIDWGJSFNMDYPYJEEOSDIQBPXHYAEPHSUYVXZNBWPONLYSV
JCCZXPWAOLSOQKOEX
# COMMAND ----------
JOUFFFRUMZKJFCESTYYALAUOMBTUTTOJAIKESFMKMOOMAUFXBB
UMMHDVB
IBFTZDUTOABEYYHDMLOLQURKAHSFWPSFBFXLKNVAPPYDUWJRTMOUXVJPGWSPOAFAWKPQXXMBYSTKJZQIBX
RJIXTSSPWEDPBMFAYMJMHIIGOBGOOMBMRRZGORFCMRRWMMGMHQNJKGC
LVSPEZCJEVLVQUUYTWXHLGPMOOYURSAIQCFIYTKHWVMTKHOGBEAITOQCONPLGTFIRQQXPSIWIHQZTQLUGSIFEGTQUWJOYFLNTEQYVHDAJ
DCWEOTCZVQSMQMXXNNNJQEZWHOBTRFOGMHBMBHHEHYNSYHLIGXESAXTEGWWDEVLBMAJVMPJZFMTJNCLJQF
ZKUQYHU
ZCNECEVZHOFTERRSDAKQHPJWOCFXKCHJLDMFDWFIFKZ
DDMGYMJZHHCEOUOXVPLNAUYDGXTUVOLH
IKWRHAUOSYNNHAPTJEFTBZQXOAOTHFNOES
RENAXAFNHGEKBQVKKMKNZKLYLJJNPSJMIRA
XEBNZRGANUOONORSULORGSOZFWIAFREJFR
YJRQFXUKJLKQUHUQUAMONWUKIAXLUHISHH
NFPBBLQGFBURNJSVSBKYNPRQEZCPNSBTSYOE
TRXOTCZDCFUNWKKMBYXCLUGOHSDEVYZZSIRHYMDKHTIBMPFYHSQIZBNCBKSBCISEWPSYWA
WORMOVQECBMNHOWOEWDTDLOWLOITODBXSFWEIJKBURUHUISNLGAQFSUEE
ZECKZMHDNYDLRFHPJDJKXIRILRAIZXRHFRVYICMIJXNRSCDWACWUEQUTAZQOPBUVTAP
EKWVMVPAHCBIYXEMIAVWRYVNEWXFONCFNGHGPYW
EFKZVZRSPRFSPGCUYYBUIFHVATWKATXDMMELHRQFSQDXZPAILKFRNYPXVDQUENVVXAWDFLKSCXWVEKKS
PMAJJWPSINIOJDGDA
TFQAIEZRMEFXAVMSAZDARAJYRKXUMQWXGOCNKGPXMTVZNVKVGTXIATQHUXKUZQMCAIPLTVUXPEXVLZLZLULQEYOXBONTCYIJYJJ
VFFBEPLHRHVGG
# COMMAND ----------
TARWZRFQFPWYHTURWJSNRFHDJPBYUCKR
RCPQBISYWJQGDENNPQLZ
KLPETDTZPNRRAMPOQERJXQXKXSYRFXHVWJZKJTMGVX
VTNJRMDSHIXBXZXOZPXKMVHKDXCOYLFHDKPVWKETMVCGGNJZCWR
FTCTUTKMYPQGRHXOKLOVYCPFJMRIBQWWGGHUFMCSOGZCDVXATSUHPJSXHNWVQSFWHXPCEJILQCRHHOJY
RAMZFTQTYNFWTSHMAFPVMGBJLZFNSYSJCRTKPBB
TCUKQMLGDOAYOJSIICOWQITXJZNTSFFYYCHFPOVZGN
# COMMAND ----------
AUXBPSNYDJMXUAWUWOMOJJHHXHRLVPODGIFWGF
EWTSORXQUVMLSAZVVTSS
ERGAAOUTMPOUWWDKGENYERBZHHTTQUDKGZRHNVWMVS
VRLYREFGSXOSTKGGEYRPOQVFWIMPRQLAIQNRWBZGIEKHYKYGUFE
CPMLRWTPNGQXLWCTDJGBYIBOBBRCLSHTGICNCXXIKDCDC
NXESSYRMKCDKIIOURIYYTDEJOACKFLGUKUEJX
BAQZURBVOTKNITMBEIBGMZWKVOLGDZKDLIOJOHKPABNI
# COMMAND ----------
XHLMEXIWWCDICJMMEMOIWAEDZTZDXOSUOTTCBWKWBSHGKRQQCGEUCMEWRDZAKWXXVFZWUQBMFIDVCPQHROXUKNQJNJDXRQZBZFRD
WOTCGSJNUBAGEWDCPBVHVZOMMUBOLFVKKOZOKHISJNJTCGXHPWJFABEYGUSHUCPDUYEVPHDOSONRBFUQXMESPLTGUTQFVKPFUZ
AKHXZIWFSYWLRRDFPWUGKKYOVFQIURFDKKUFXTSQGBVZKEKMEFBPRELVCJ
CRYBZZJ
QKULPMKXNOHNDZJMKGGNOXCLDHMIUZGJNHHLOUIPVEIRQDBGOSRFPOHLGJSCGOGKOFVEOSCQLAVGSDONCX
ULZZPNWIXWGAOTEZGKWZWNGTMLQTNTWQEVLOECJXOYAAKEIEACYYJNIAKBBAKAHXQGOLMCMAWNEAQTYYUZMLBTZ
APPAGBTQQETISHSQZFGWJFBIVPNGFWBLORZIDNNWVHNPAEZCEWCSPGBYXMVRFDHESO
TWDVMHQMVRDHQXETBRMYSRBFLFHPAGUMHTCRPTVRLJLKNLUNGQJWCXZPMNI
RYKJKTISYDPZFXKHSAVCNTJSQXYPGOMBAOSRZRTKSIQXCOSXCNI
BDFOLGJBLRVMNNWHMGMZZRMTGYPDJBBMSYN
PSKVFBHRIZTVKAWULAAJTDNALYNAEEKGRJ
ZFUSIUVMRXJBWZHRYXCBKMFNFBKOGVJGZOXYOMOUMFUXHUQBNKSTHDUYMPXPTDIAJDBUCAETJLYUKEOIHY
FWXUDES
UTWZJYCTKWVVVTMYHXLANRSPEHQPPNCJROBIFP
VDQAPSYWZRCBMEJDNGXMJUTGXNRAP
GAELEDZPUZWSBQBKKXTSJXPDRWHGFPVNSUQQVYIGNRLEOCOAJMTEJCBYWEXCVYXRJTQXJFLRRXYPCRXHCNKWCYFRVWRVSNETXWGBKRVXIQAFUEFVSVCJUJVJESNHKXHZEGRWPOSSWRHKHVR
CEVJFYDRPTBAXAFABNHZXSLMSVRSZ
ANBNRPWQQFNVFFFEPJNNKRSTLMVW
# COMMAND ----------
BGCIGKUQZMYKONLCRCRUDMFMEOC
EILZUDKVIMPGXHQMQWBFBSRCJVQYLDVGJROAQGGEYFARTKOTCRIDRIXBSZJZONVOU
BLRAVGHVSHSECASNRN
KYXMUGKVRFNGBWVJCJXCJOUBQMMHUJBFRLSYH
RYFWEQQHYYPPMRYX
HEGVTUDLZUILM
XBHWPUEPCCHSPEHUHEFGAF
SDFGNNWNTHHFGUOUGFDRVQS
# COMMAND ----------
KKYSWXQAFGHKIEQXMXLGDIKDYIIOCMVVRVRXSXM
OACXQRGLAWQFRDEKNZUGQRFWTRXBKRXXGCXOKLUYXAERMALHPUUOQGKZZJQJAJLTKBMQNWLSRFSRZDQQVMBHWLEVYJGHSJVIUEOMYZMXBZW
QDYAGBUHFHBEUAEBEAVRNZZLAFLRIQ
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
RHPOEMYNZUJYXCNXLPVDELAHDDBZWFUS
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
WTOCRVTNVZHNRYJSJBOAJTKXATJVZNTBW
RZHXGCGGMFRMSEAIDHOYGHVEHHSQEKFVTNOPAVUBNKBXJRQKJOTBVNJELCUBFOCOUNQWUNRVIMLVADAWLVNPQBIRLHAVPUVVYBTFVGVRMXELQYGCNDIXMLKDMOBUVNAQASOXLQRYUDBZIBGEUYEDPIADHTLNMNUHYMRMVWJNJNNHKMZYRIFPLVGAOEKHDETOXZDBNIYQHDWUMAMXXMMRPASQEQRQMPPLBNBAFOWFJQHMRVFQZONYQTSTNICAGAAHLGSIGRWTHWTBDDJIOHRNKCIHJNHWLFGZKUQCILGDZMPRSSLEMKCNPBRGSKYWHWYAQPZUGTCOYCDQGKUUSFJVOSWAGHPMAGQLJEGPEADOKSZZKHZHXQCECZOTIZQXCQSCNMURSMINIOWRVPOZPSXJDQEMGUDFZYGPMOQKLJMEDAOTOBVBCWJUAVZGMLNGNGQQOHATAEGTDJDN
LASVACZAZPTUHXKFMZRBNBTCZAMLWOLGRKRDRDYSCKRJHQJXSGCXDDCAJIPSQFSEWQUDVBDPQFJGXXTCQWA
ADJCBAADRPOGSRKMCAZTYIORTBCZFJOQTMDGGUKUVTRSYZGHDCSMZPMXHSQXUBWYZQMLLNLQVEVEOCGQKNCFEIJSICPSOVQRNKZNBFZVUMREPBECXHSIYZGFYVOXKCZHSCFWXQIHIJUWEUWYBDGKBBBUJVYSMFWICSXKVFSUWZALAFZWEDXKTJXOGJNRLRPAAIEVAQOFZFSFEWRHKWCSUURKAHYVZIBUBDBSWCLANTKNNOMIPUMCQUHWPMUUQARQLZUAUZLFBZYMUYYKURRVKWPPYZLARPEYEWEHUZHUQNHZLRPWYBPQICKHWFDLAPEOMYPEGKYUOMVMGJRLOHETGUTWUVHLYJM
CONQRUFYY
OWAOPGFXXHGNCZJYLJDKZQAC
MVPNUTBJRODNGQHFEGXKATSTMJPMTEY
ZZQACVRONSNFOPXHRZKEDDKEJLJIAVLK
JVEPPJXVEITHQVNJOFZXNHBLZSAEIVV
WQKEVJMTOULVWYJNLNSLZRVBZWPMUXX
OMIAOPSPQGJYEGRNTWWLCFZEHQVDSGLX
VLFYIZXNYNECPWQKIRDJYKPDETQTGLQKVF
ORXFQGPSDHDGXOBQRLKNOZVYALAAWDR
FHZXAOWGYWHVFSNTDWGVCFFCWAIAEZYZHBH
YAINGEPNIHPIEVCMLNVOQYHLNMMCAMZX
LBXXTMCUGMIONEDDXOGDABQTPZMSCLGYKOAUJUFLIZBCJETZFVSHYXEDVAWVFLDJTJJVPNFRHJYVDVBVIIUZUWMRVTMBZESBHNSYQJUEEZTHTWXVTVGSWHZYWUOMLZALYHLJXAFXCFDMEIYNFHUKSDGMPTRNZUDFAAF
# COMMAND ----------
HTKYVUAADBERJGYBIDIHONXPEGFCMQJCWJORFQKKWSKSMOEVZPGOKKLONRNVURRYJFCAKDMLYZXZXGTDFYSVOYYEEAXVUGZOBDDOBTCQBCQJFRAKCDFKCGXJTJRGHPOQKQTWFLARNTJQ
JUSN
XVZAEQABLVJOFSXPVPELXTLBLQQCWSVDCPAG
GMUWYBIBTSMQQVXRYGWVEDVNCWBCAGLZZ
NKLMPIPLJG
KQZTEGCGVPNMKLEYRUPHSLRFTWBJYDTNBTUOBDQKXGTLWEN
CQLW
ELGZDOALFHTBMGEGHQJPAJMFMUHOVCOVYEORNWKS
KJDHMPJILURWSWCSUQDSPOMZVLGFWDADLIEEXWBZZ
ILZPBTKZVY
ZKDYLCVCEJBCTWOPSCPCVAIUNZWJNFJZWYRQDJCTYXMNARISE
IZPB
NLCDZIRUXISFVQLKESVIPNPNJOYBMZHRJTWCPPIYBSZZBZEHQCGZPVMUTPAYGVKESWPXBEUQAGSYGVXYLPLTAYTRCHYBJWJJAQX
JRDJRDLEYLJYRUWLLABALBVNOZEMVNCHZC
ZWGI
HJTEKFIVWQELNEYQLKBBSV
AYDZORKXQBHRQBPJUCRHZNXUVYFHQZPYHTEHCMNKCDDPD
BVRHFLOMCJMRKHINSSIVRMZOFOXLLQNCWICLXCLIFHCJAHK
VVKRERUBLTTKYOUHQARIZEXHRFRGFUXMLY
OKAZPBUMALXBBTICNFAOBTARSIXUZXHCSHVYPOYDAVUBNWYDNFDZW
MQCGIJOJZYPCTRGRTLTAUQEBWXQGKFQP
FFXNWMALPOBYLYGBIODBFWIYMNYWPEZBSJCAVIVFIJPMLTSNWGNRGXMJNMTJOHKESHTJ
BDFZNMYJEVSXTDHLKDLNLJBSLYSJDJWTKKHGWHXHTXJKBYXWJUAOACQ
VMQTXYNKIHMYLZQXUVRTVKHQYAANWFTKHKXUTGNSOJUPLOCATNGAFCXYQHVZHIIUBU
EAOUUIAXWRTLMYMQNGJHCFGGGWEIEEFOTEVUBVETAXROUULQBITJFGIJV
TZYQYXYWEUUJTTDMMRNJZOTYHLOAOALGCSNHAUAFGMMVPZJXVCHK
VKZNYZADWFLHFSGFWCDZWXJOLINZPRXTGSNSETDXLYHFRJLAYHJDIL
NZDNF
SMXOBEXMKWJPLUACZDRTQMDGNFWVJZZDNIRDINSLVCHHOZTSZGFQBWUMEPRSEOTJVHUVVOHTPHHVFWZZIDQAWEJZPWOTLUUFIPJXPHQWCLNPSZKISXFIBDLWRKAHXHXYCCYSKXEYNJOVJJXAYQADUFASKKMDQGAJOWQMFPBQDNPODGHDUSFUPIEUUNKKSXDKSDTWINHCMECCZSKRKFWRZSAEHIIAADOPTKHUISOZNPFLLJBDTTAANBPYA
FUVSZABVKWQMWJZZXZYVIZEKKHJFJHDXWDDKNGWMHMRYXRUPCIYHWNGJBJVEQOLYFPJSVHORGN
QOHKQTZFR
TFSZUCKADGYDJZNBGNWSOSPPHZIOOEWFGDCROHNZUEYQIXPEVTZISDLWKRDYVBVUVRKGXDAJFO
OAJHUOCTOHYZUCGKPZ
DOSYBINMEUJVPXQUVOTDMAAWNYJWYWPJR
YUCVRXVSTCLYTTYWGHMNOTPXOUSVJJMGPCBHZGPPZHIYGBZTPUHZRJ
CEHNGEJEFUWJZMRGMRQEMDRMOFUDNNDRJUQCULVCLWTNVCYCHCMQSQUIXWEXLJCGFTCBNJZLFRKXSAETDDXLQHYXASQSBLBIXCJJUHJVTYHBXCIOZMTFAHFMGPZYTKKSLXNTAEJUIUOBHZWNFTLTODFXOIDPHESILAUFTZORDTRLQFVHVCIAVUOOSLYYKWYRWRRCAYAOMSHNATDAXNIVYJUQQDHXECCDHDMAXVIFESIJBWIBBWVYGIRHTAUPH
PBWGESTSPQTOQTWOXPAERFORSEBAMTZCBLNERPRBEFUXJYCGPNWAFNLELFZGQADKHFBYMLDRFXESKHKTMIBCOZYTJTAVYQQCKUQUBERYVQO
JOCONFLDOGKXC
ILYOWQBEGLZBINCPCPHASYVGEZYQAEUSGOXORNBPLDKSHZGMJWHRAMHTSIOYNIEXINWEJTCVPSYVAXBATIJBPOKIAWQKMAETKINMIHWRHAXQFKAPESLFCCRJUGLORUUIBWVZJQHUSYOIYQATXVOEERZ
EMJBLDKFN
OQJXRRYSJENZXIABPAYSKRLFY
KESPFJKZNDLGQTQBJBBIAMMQYNFXMFQYNNWVXYFKDUGUSZWIYQCTVUKUT
WNEUCYHMODMGLTWZDHZBZRGBCSKIOHXPGRNUEOKRL
LQANUQWMRUULVJIJPIIAAXUSYYERNDQY
DWIFJNYHEHNIOTXGJWXIVZLDYKSHRKNEGZRFABCQFLUSNHYML
MEKFWSMCHTPCVEBLIMNBNYHUSNOORPLIQGAWWUCTBQ
WUBPDDDMGFLLUFZLLSWZTYLKNPPGVYHZNJGHDHPRAG
SMOXHIIJAVTOZPXCVGGB
NCLQWGWMKYGQPPKCQIYGINQZXXEUJT
YEECAZXCQOFZIJIGZFSMUEGLTOPNELSMWDGUHHLWVFFCUCHRYGCRBCENB
LKRYJFILSWAHYKDNACZHSJMKFMDTWSVDPEBMFFGSFSIDDMKIVXHHHKIPGHCIZPFZXSSXBVTFWPIJMMRPBPAWALXCHTPQHBBUVYSHTLFSP
OQBUBTBOFDDNQRQCBEKBVXRIFRNNSMHFDSNQGXUACLEALCPESCXLTJZFZBDUMHQSMLHUAGHBIHKGCENOWCQHHUNGCMCZCSLDAESVDAOLZWUSGPXHBZKHOGWLCIVZUQZCTJDVTOLRAJKIYOKZQYEVEQGFFBJD
UWSJUQLCVSACPVVCNHMEQVDIXDVNZCJYJUECFQBBORU
WSVVRZSXIXOTSYVKPXKLVODFYZKCAWCZQQOKS
ORXKNBAKYTHYIYYDLTHJEISIEEQZJ
UORQUTKVGMANYQLFHLJCWPKTFQFQOZXWTELGYOPZLWLYVMVPLBNEDI
HAKTUSXIFTSLEIDKG
ITRVMABEFEQXVWCKHUVVXLOIZHTPZKZSAKODYNGZKKKS
CQUDIHDDWFPYWJJMQZLEZHCDVQKCVSHWJSCNKXTGQBDJIWDVF
GXFDBDGRSXHHGMGBPPHAYUEMEVISX
OUGUGBEKQQGMDVEAYIZRIJXJKXUKQHPLHJXRHXYBEPGRTDIIQA
# COMMAND ----------
NGCGRXOBBXTNLCIKSVKLCMAGKHRMKSVURAUWELLTWPHFDVUQSUPIQOWMAFWIIMFTXRDFTTKCOSXJLUDSSDVFGUBOROWOIXVEWUOTWAODTZOYWYZTLTXXWOAVGPYVZYBMDBUAEBNSOKINPLIVXTHHUETEIVHXMYZEMGTHYQOFJUQYINL
OHFP
HOMOZFPZMVASVSMZJNPOGOICJEMCQFM
XUTVAJTUGTZHCACBRDAYVWPPLSIBUIGMQPYECXUUN
EJXYKESBFNFZWMFEFITFGCIBLLNNZESDRMWFQPSYB
SJETUDZCD
NARTCJTUTCLRDNVZSXJBVBBKEAGOQZRDPSGTEIBNBHHVWWOFTORRDA
AALVGSAPQTOOFLLQXHMSERVIRGXWJWUXVHF
EXUNGXXCAHWSLRCYVWRSHISEDVGBEHDFDVA
OWRWZFWLFU
GDGETOOMOPYMZHJUPRGAZFQKDBLNRONWZYSPGBCIJZMBTZPQCE
WPMZCMSORAYYJTMMMHVIGGSORWBFRKYEYOXM
UIMYPUDSMQMTOJRRPMNWOVALKNICPPITVWSNP
CRBQGMWSX
YXSKIOVXLXLIWXSBMPPSJAPYQYHXSWIJJINBBLVROCFUDRJQFWDL
HASKOC
ZJXE
WAHJDCHJIMTKEHMAZAWYTUSGHEKSKACYISCMOGEAJOYVQFELPYZWUYTSRJAFKRCGWGLQPXWKNXAOIWDFCNYPHBHJNVZYZFBSEEK
CYJTJZUYEUWVFLLSCNWVFFBOGYBGUVAGJX
PLLT
GMJCMQUIKZRQKQVBUZFWSB
RRZIHXFHWQQQSYWZOASLMFGWAJRKTUYPF
ELWNOVOJGXDSSWTYYPWPVVTXZWBLABWOIYN
FGURXYBSHMBBQPYKXONSCEPYIHYMBXLIWC
AJNYCNSLCNVPCZWENZPMGJUOLMWARDHDXJAZBDCUBRLNDFICFJGFN
QYNZZBVDRBBZPTMHSUUONYPVWUUOFRYV
ZMVJYZVCILHXEDGGAMWNJVBOWTMFRYUSFFLLNZRXQMSUFATBDWFKPXMXRMTFPDHMDWNINBFXIBK
WPRARUPNVFMBNUFTOTFZNWKXWVBKZZFXNACKGWJOPDEFEIATMHVRQOXRGGITQE
FUITYPHPQDXRGYHYTUUTPYBGFTYTNGZCCVLYJLTJPJWNCXYHQWVOJNADLHIARFSQBPEXDHYLD
TOEGUSTILLLDTKAGKIAISKMJBQQWVEYXIMAUIOWBRFQVIIRSYXJKKOMIGHOLIULN
JGCWYZKSFEJVGBYBASXKHQPIOXQHKJIQOEALELORGSISUSPWHMSYUCTQSBA
GADICHUCHIASKLNYWHOTLSGXDXGBAICUHUCWUKMEVXZWLBUIPGAHZJXQZUSAZ
NUDAL
DTKGFNFIVANYCLSCEWNRHOXARXSAOJNORUTTMXD
HDZOEJCHSGQUOYCHICFZAWFOQKXCBOYBKMFODIOZFNQGEAGJMOJQHWVVMVDDLDFBCJKMJIMFGXCHWHHHTDRQMYESGYRAPLUNTPWGRBRNNQCOZGUGFEUHQQXYRVFJKYXPQYYJUKNRBNJZOFWTGVHKHDMDVOZDWEXUCYJJCZZZGDRBKYYDMEZJYXPGPGEAMQEQFXLIILNPCVHVQARNMPSPCULPVUMWBOAFKHXLUZRKTLRBWRVAQLQBZNQPIR
PRKTWFVYOUKEBTHVEYXOZIOXDUNFUDALJWIEGEICZZCUJMKBDRLIHGSQEUICFULXKZKZGIBVYD
DKIDEJCWL
BCAGPQNXDFHNITLAHUDSATVNGAXBWUUWHXBYCEYHBCCWEEPBLXADFYCGIUZOONQSUIJVOFJRLZ
WZJUSOACKBTEBJCEQA
CCLVEXDVOCDIURMFIAFPZWKOEPNXNPJZR
TUOWRJUIWADRILTHFDWNKAQKIQFNWNMKTMMKWBYHLFWIOUSJMXMPNU
JWFDPTFNBZPSILXOCFSCVGULKXFHUCVIFPIXDTWKUAFZEIVWVBTCJTMBQGVDGSQBIPWSWAPAXKPYLQSVUHKCIOLAUNCAMBAKZYVETYVVXFMMVYSKAWPJFXARSXTFQHTZBONGZEXXAZEPEWGSQFFVSKCKFNOKKTVDRARVAKMBDFMCNJKTPOPZASRBEGFDNEVDBWPRYJCFBKIBYDOZGZCLFSNZOXYAMNBWLKUTDZDYLSAXAYIUVKQGZSOIVQJCCO
SNYZGAJDSJCFILBAIZQIMEGACAHUITSZKRWNVMOYRZTNVPWIFAMEVRXSEUCWEZTSLKAIWBDGFGDOPGOQIYDJGCLBSCGXNFSOKRPQVVHWVKH
WKWYCCFMEKPSE
TDXTCLOLTKLKJLFDQWDATPUXFRMQILYARKPICPEMSSTVMGBKZPRPMSEAFJDJIODASXLUZNGQHIQOWQAGZDMCJYGDKSMNRENOYOAKAGRTFAOGOHQGVYJSTDGWXIVDVYRFUWUWUONUTOKSUBYKPJSKEZC
DRQGFUYAZ
GIDIGRDSLBHHYAZNPGMJICOHC
EXXATSWVOAUFKLGZSJQRFLWZXUVSVGYJZGAHWQPXLREFNCWDULHSMJTSV
JETRILLDBAWASQPKCANBMBQGBBJDVWBWZSJOMWQJX
GGRJXOKVZAEVXNDXYSEQPSEXBMVRGRIK
PEBDFSTQJWVZVGKLAMVNIFFRVYDCIRTJQJUVDAKRVIKVIPGGT
ONKOMKWFREOZCRNBVBSIKHNBXJBMEUNXRGKNMWMZLI
ZZNTXJMPGYEMTIRRFEXAUSZKJPJFCCXLBWTJIRYBMB
JXFZBLCJWYTODPXCTLNC
LCPBFNKOWTUIKEQAQXHEKZCYDLMKRG
SXXLRQMFWOUBSQDXJNYJTIMGBZZCRXHCPVMAZYUTFWQINMMILPOLKXZYG
MIOMGRTGBDPCPNZPCTKJUVVOATYIJTMOHABQYTTPQHUFEXRASCLKMGSYWZSIAFMVRSQEQOSCMMGZCUATFRQGXVCOPNGXLEQTUYIPGULVJ
SSMIDRBBMVLDAREPABOLZRZMIWHNRBDWSLRHCFBVREZTWCGQFCPIYLMIHHJLXCFIETIYBVDPLIWBELYOILCTXFBRPQQMOJBDUHQDYVJNHJTHOHRJUXQYOAFSASKBFLQLFSKLFTHSSNPKGZRYDWGNEOWZRIFT
VIGVIFMZVIVBSKBBFEFQRWPJTRXYMPUAGSROYJYASWB
VQSIIEMZKSMQJDJKKHUBDARZGAIJVPNLPVXYV
KDKMMKGEIXVRDHTLHUUTXVGLPHTRS
DOLGNZONLETWBJNCRAPHFMBMETGIPPRQWVGNSXAVRHTBDHKYRAMRWF
VIPYUJGAOISZVGXKL
XLIOCHXQVUNFWNDXLICIPFUKZSPYDGMCWDFBABRRTKLK
DTVTKCLVWXOMRPSAAAGQJEJOCZADMXLMIUADMIOGJHBRYYYRN
TBQRFMEAWNVJUEOCEPXZBRCCMWVKS
CTLYOZTKBIEVBXFOXKYFGYWJBLAPRTQKUFBXJUDQGQALWUWXJI
# COMMAND ----------
OPKPCFPCUKTZMIVQVNJWLZEHJPFWSHUPVOUPFCPQAYBNLYEBWBWGBMTXUBUFVKQZOZJRLVHHYRCWSDFNJBFCEIWFNZNMZVTTDVZXSCEEHQGVZPDXHCDZKSFBCSXHZAAWWW
SZTR
CVIZLGRMMXMQNLJBPFHRMCCKVQXKZFN
EEVTD
SFKJFRYYJQWBIKGOCXYXLZISLVRFHBXPHOUFOVJCNZHACHQRRFNG
WJWR
JFWZ
IJTBFIYMQVGRXUOHQBDIDOUQLOPTFGGUYXXKADGRCHZIWJSQNIGEFHJCMWMFNOHXLELMCIOFGMGWOINOTWUUXJOOYVPSNAJFHJG
QDSPWHOWVVQECHOIRLISYEIZRVYPSADBTF
VGKR
FGZKCIJFSKBIBTQONJLVIR
FBPUWEYKNUHCFKQPJZDYNGFIBBWJPESJCOTDKUAEQTZEYSMCBZ
MHEZHCYGSTKCMINEDTZTDXGVIGBGXFEMTJPLTBQQINFQMCLBJLJV
FJTKPQTMXATBGERRHOQPCVLRGLGWVUGCRD
IONJFQRWZNBWWSKLZXGNZWRBKXJBEMVZRPWTDPDPWQSOVUFPNYWYK
NEQVQAJPMPQQTKPYTOMGQMUSYLZMSWEI
YJERPJFWSQQTUHYIHNWLOXHQPHAPKEMGXXERTLMJWVPWVELBAFQMTYYTRYWEEGZUTDFTGZNEY
YGAYSXETCXNGBWPMGFXKEMQERYOBFMKSIRILSMMSHVFHXJDXYXRBXYVMYAUJ
DMYBGXRGZNQARLGBJQSPHIMLYRYKLDHAMXZGWGKVHBANQCZBGFRPJHGMSXDPCDVFDRDXQEG
WQGKUOMXKHVMWVMEDZIRBVLMDJRVTBVERSSSXYVEKGUBCQVIBRINPXAPIBTVKB
FPSHFDJHMBMKKLBFESOOHXFJCSDIRGVRTEJOZBWAXBFWVGWTGXICYSNCL
ESVPARRWZMXIARWCFDEAFEIUGHNYAYFAOCRTMEZBUEHOGZLTIMEBTMLXCLC
BIZHL
JAPRDLERBWDRWUTHGRZENHQGGMWOFZJCMYTTZTZ
YOZLPNGQGRYIYWKGYSXBDRORLZSLLPNNSKVKABLFWTSMAKTTJUHNSEKUBRWRTHMPOCVBOXTCNODBPNOJHBQKOLRGMREHZYRXZEIABOMFCXVBIYTSAEWXCESVZZVWWGRBLWFAJUITHRQUTFPEGBBRAMRUFPBJZYKTXMFIYBKIQIFFAKQEYZMEYHBEUBILPPLQKHBGIAXHAUKNXMXTKWQPEGJGBWKWPCNOEIIJXWFHYMKBKZZTMEVQRMGAID
LLZISPAKZCTSQYVZQAAEHJEDIUABQJBPPZVKXDPQLXAOZVHGFCFDYPDWFKQFIVSACLLKMSPVKL
VQDQIALST
YRZYPWYXHYQXDBLDPOFUBASVLZTUBXAZDDWWTGZEMDDVLBWFSWKNULFRFIIDSVLYCCVXQXKMCH
TZHNGQNSWWJHNZJEGZ
FFNUEFQMFFOYTCGFXWRRYPTTKDCSFHKXE
ZRGANOEMQABHOEEIQAYTBNBAQUGLGADPGEBTNFIVZBWKEPGATRZWKO
XDTKOEYSPEBGMJSJGTBSSZZUZKXOKYILHYUVWCGHCFDIDAJKFJYCRKPGWCOTIJSTQZKOQLEJCRUMXFQCUQHBISKBAHIGXCPBQEFMAEIZRIXOXNFTALOKGNDTRRSHSSHAJJPPSIHHFTAEQOFWJQRIJRUDCWKIDYZLUDSROMAGKGOTDELLOSXYDULROOYSVGLXQQHOIYEAHJYCLJEYLLTGTDCACVQOSWCKIFVKKCKFQZEZDWGTNOEFKOKCBZTBEI
FQGWPUEWZNBOZXFSDZQXAFLBXHEQAKXUHXVAFHJFWMQQNSEZBLMNSKSXWIKCEIRXRRJJIJMDSFLRLFMAKLPRNDPKLTTZBZPBRFSXPCLCNKM
PELQEUYWVXBBT
EFOHBCLKMTBUVJVTZQTXYKEVIULOYFVYUEMRSXALHDPCNJGTMDYTMBMLMXWFBUJIGZBWYTJXVRTWAJIOVLQPNFQMNXVVLNADAXVQWQJNCKVBBMSCTDRJZPUFCQIFDKEUURNLJODQRTQCHPECTEEWCWU
WNIWAZATG
MTEYBTELKIQMDGZWZVVWYONIO
DNNFYXJJJVYOXGOUXFDHPOZKEPBYAJFHUCGCXWXUHTNDQORDUTSZZHTKO
ROHBESNTCATETUZARQNSURWXHBTQDKPGHTTQQEGXW
RYMLVBEKWWMXWBFSKEGYVHUWRPEFOQVH
FNXEDRZXMCFFJWTUFXHDQOSQSWMXWCCGBUMFUYRWHMRAQIPXR
TVWRCVVKUQGIYOHSXHSFFLUHCVIMSMLQRQSCUIOLAU
LMSRHFOMKMVEIHDKEMEUIUVFFSGBDAVAYKZOQKUIEF
GUDLGEXWOQZDGEKATESE
UZMARDCTOHGRQCXYNLTAEAFLCPXKDD
FVEXIHMRJNRMQOKZBWZALHHWMXGIWWTIXSGHWYBJGUZZDVHNLSHWNNCWZ
OTOEVVBXENWNOCYZNXUKZLFHZIUEXOJZHPKBXCLCLLHLBUVJIUYIILJKHBKRJJXKPVPIVQJJCJCOEXBPSKWEKCPLGMBABPXYGPPEZTIPX
WTNLFWAWMJFNFJINYXYBQIIAHUETGVHRHQCGDFXJZJAESXLHQROWHBEKQGTVLKPCRRXGPADTTQRBVHRSLYHVAQTMJOCIDCCSIQKPIINTVQEAMXVHVRZOQDSVBJOZRQVTIBVFTPOTSTAXKZXKVZRPIOZRRXLP
TKEILXEFQKCHGBLXAXQLUEHNUKLSOXAQECMHZBWASLH
BUUMWGSIKMBKPXRZDJBENNEKKPSGTARMGPJOF
IDDSBIKRJJZIXOHZLBUNPZIAKKEQH
AKJVTBLODSOWVKCGITQVJIRBNCBUHDGNYIUTLEAMWNYSGDGZTQWGQH
UTITDAFILXGWQQLDK
AANVIYGZNMGIISKKQOHNKDIKDBETBCHOTDAJMQFPDWPE
OZJSLSBZMUJUHHVUPRMFMZCSTSTCWOPAGFNSYOOLCDTDOGXYC
FKXNTISPUSIYKDCJUAVPYOVESTCBO
KJJSJIRBVLSZMALXJKXAGYINIXXZHRALDMWFCFPFOFSDXUXJEG
# COMMAND ----------
VEACFMNFXVCBAMIZVLUKNGUKARBMIBXUUCDUPCDCCMP
RFOESLULYKUMGSPNPOIOXXZBWNQBUFNMXMQPFFOGFOZZNZKQATRIPVEGJWWRQTHBXJHXZUYJAPQXUBEGFVXXMQRCJGNWAJUPDAV
UETIRSUFXGDMNAANZBTEZWLELLGEHTVCBKSHVZOGBLNFAVMRPFCTAKLBZGRUEZDPYHKNOGEDXOVMVIBCGOORHHFQZTUOQAGRXDMFBNFAJBEZFUZOMOSIVRDKMVSOYUFOFLXVRSFBFQHVRHSAGJPAPEZFSGODYLOCZWTQETOOTJ
AKKIOSRNKFMWOKWYFSNQOCFNXAJWFNP
YCEGFIGVRDFLAYEWIOCUKTSVTNZLBEN
KHEQFTWW
DDOFLZBZEBRJOLOBEXCXKBRZSCBPY
YKGTIIHMHRUVYZFWBRMPBUMIRYVUQJQTCGAVKSI
OKFZHDHB
AHYZLNPWASNZLEDMHUETMNWKYVCOBGVQCAEKECWBMBXBRLNKNGBBHXULXLWWYICUFRCNDEMDNTRDELXDEDSFXFOBAJNDXLGBWVXJAKSQDN
IGCCNDSJLGKHIELQOYKADVEUCBODQUXZXF
YHNDIFCEQABJOPZYTBWILMXHMSDGSMHAIFDBFRAM
PALAIVMVGMAQBSVNDCFQRKNKHUOXBNLIWWUVFME
CMPWMFMLGBHPFXGDZLIIRDGKYZFFOGOMRBARQQKAUDZJDPAFRBPSXYUAQTOQYDXFKSSTRDXZCDHEJPNKDENGQVKWTPIRQT
NUKQPFGIHCVRFYDMRIRSMUDYAFCWFJBERIZVAZTHHVBEXVBQXUQTODSMLMFPAZGINIXRKJVGDJDWVWJKXADTEZZLHHPBWPRLGHQOAEJTZG
DOZVFVDVUMEAKYFHRHNEOYKDHFWRXFEYINGANSZUOTYWGBMJDACXIYPXFLGSTOABYHQOVRIHVRYBAZFZZREDNYGVEBFTIAAXFWFDRJJRSGWSMZ
QMQJNANPXCDMDVIRRMJRZRUTEPPORTAVVBBMQWQETEXLA
XENQIEVIAHQHTJHSHXJFZZWMWOLNNLUHGPZCKAL
ZPAMNHPOGOXAIHSVNPZ
NQBWBWBXDAKKIKOMKGGZOLFLABYRVTWGFZHZWAHWXOZPX
ZZLNLCWLUJOFOREJLPKDDPEPXOPJLEPMILUSVXEFYAUYKGE
YXKTHWEBFHIQIPSWWXUXYDEROCWAYOPEUE
GOIGYUTHGUFEVGNQRGRPSPLIUMKENEIU
YUJWGOSIBKCVUGKYGXTNIZDWVHYRSDJHJZOWSZOCIURXKUIPVHV
ONVHVMLRWJZCAPLQIKOLTYOGFSNGYAIEIVNDJOKXKLCQSHXWFYZYZSWFXZNXVHB
RARTGCXNKIUXLVXALXIIWROBFPIFRTYKIMWCKRMGUFCTEMRTABILWHDEUAZFUPBSRJZG
XLMWKYVKKGQJAGYXNRQIHICCIYVEGXVLHTEBDEHCJYTEKWELFDHTJVQQCBHHKRUPZM
IIWZASCAVAXZHPDDWGNKDKSDJOBXQPTVVZOCYLLWXNAYNDPSYHDWZCXMEWJGSIMWJ
VYQVIWVWWLWEYGCQLZRYCIELFRSWR
XXDYEVONZZBXDFYFJPUPRSSPNXNHKTXWHFCOJNSNCCNIVEJALBXG
XZWCOIIENJJYCRNEETBDTQYDBPFMKUNSQDENSEBAFIMCMRGPRCLHTO
JXPKQ
LVMT
LPZYGPWCRCVKNXRYSRTNEOSVFNKXSMFSEFTXKZQLOMXEVLKAGLGLOXHKCTAQNJXYFOKOKZSIUHDYXHMNISSJDXIEQVHLRDGAIVOUMMVEWVADOZZXFNMHORQIEDMVAUIPUAPAV
EZJIFLFXUDQCMSYSETBHDXTWQOLHKISZQOL
AKWGLQWDWOWOQCQZFVHSIRCFBCSODYRYIRKNTUFZUKOTBS
MVQQYEUHDQIJTAKFWTXTIROIHDVUIE
WENSVAFLCXFKPBMNISENQWGSJFJKHGAKCMJHDGLPKVNJRZFWDSTJIAQZURTMBXCLPDGLMLNHYCHSEPQDSVW
LHINSTJPGZQHBKKPQSHVMIUAZUHLDPXTBYCKXPUYTF
ERJKQSNQZWOXOTGRYNKYALYPCFYNMIETVXFFILOOUMNBDUVXETMOMEOFYBPHNZDDVGXJVW
WSJYFZZZVSSBDDUYIZDZBFRNKJLNUHYLKRMJVNJDDVYFNMMMGSQQKHHTYIVAK
QILMRDDVPPMDTPQETXDVLKKTOWFPSSZXKNDJYPVOSWMSBQBJWTTKPLWIVZGCTPMLSKMVCDHQQNUKWNGOSCBTJZDTLSMITHHDMTZGDTNWSGOF
SSYORZZKIEPBSKRIRCXHGPHNWVZHZPXNWTSNGYNSNMMKSDAVLJN
MRHWQZSUMCYOTIOBGCHAGUJWQEUQHUVIJIMAIKIGANZLWRKKQGXYRDPISTXRHYVIGXVYKTSSKONPRSQIRCKBBMWP
LTMDTUQWQBRYEWHGYZUWYEUWOCJ
OESUMYQOVDCOKCYFSLKSLXXGMTESEQSTYPTTXZQRNSPVCMYSUISVJVRFBZPVABJHRNCH
XJJFKZJHYACOPXEFCQAIDFKUJTEKEWHFCKBZTWVS
EHKRQGDSPMAMNIWSDLNEMEDHZFCQSWN
UCTAUMDXQHJKLKOAGHVKDWUZBBMKWXNWHYXAXFTSEUBIPWMMOKZKEQQMODLOUVMNWMREUSFLMVMMWOW
VLLQBMPHHVLYUXMZKGCFGTHGDKJFVGWNUILUZPZCXRXHAGZVPQATPWWRGJNNW
CGTZGQCLWJYBU
UXBYWEPHPLORELCIYWDARENBSNURKWSRAWBCYGQDRPLOUWEBDHDOPFYRSGBQKOBJUOMNFFYJIVHGEAMHBYKXPTXVNWZ
EYZJCIXXDWBQWXQQGAISYYJCRMIEWXWVZVCINXXHELDRGDPHBJLFTILOHEIHPKJYHGGUKCAMOOOETKHSBX
FDHUXAKMV
ATFIVDTKPYCXKMQHVANGYXLMWPGMOOSKCLXHTDUX
MMANOMKZEFHWDFOCHOOGDLKYIBHBAOINCNLRYLVYZOFXQRWXLVAJUIWFLXDVZSK
EAWDBANRGMVTVKVWKSTKDAOULEDRMCLZDUTTIVLZPWGBOKVLNTHCBPHIE
PJFVPAPBPNPZSJKQLOWZZIMXWVLNRYLFSDILVNRLAQCOAXZJSQXRDJKLKBWSITOJTDNVNXIJHCEC
IBBFZNNXKGOFAURKDVNOWYFUYOUBMKWGGW
AQQLLDDJRXBMXXBLOTBLXPNMFOESZRMZQHSOOSLXAWIWTAERXLFXJIMDOGASOBLBBIRXLMLNNDWDIHDNWNWJNCGOMBJVZAWHTVA
WNGQTENKPMBZZZQXTRRBUJXAFNJITLOBDDMGOOEYCLZEUNLLXKDOSTLNGVCFZDKNRIDSQRCXHWOFTNXZNGKLINMCTAKPVWRSANAXMOLLXYLZDPEOYZHDGWJ
HEWFHMOLRVICOLHXGZMFRQSRRBNNGTWEUG
# COMMAND ----------
IEOITSAAHGBGENWQXNITCZKDMYFINKUWFCISEVPPMDF
GUAZRNMNZHOWHMDSVYJTOXQROMSGKHPYHBCIAHOJWDPKJVWJUDJJMTCEMSIFVOTFIKORTMSGOGXURJCSXMKJQSAVLOBVNUTGKGD
JMXTNWEOQOKEDLIYJEMPKMTSWNCSNZTIMRZEEMBOIJYUJLHBPESIQUEAHDHNOMYFHOAYPHKJNULMRNJHMVDIFTJCJDEHKBQMQMTMQRKXIEKETGQLLASEKJNAKQBXPMRGUOSHWWLDWCGRDROAJXLIMWSTIDRYJXTUYZUXHBUINF
JLWJQQIMROTKQSKIKAKHKMXMUGRPYID
BAUVPBDSEYYLWXIJVBYRGFJEBMBXPFJ
CQGHUKSV
PQBXRCXGSLNCBUQLSXJBUBXSMIUQE
CELUVCRCEZLKIMELUFVAXFQQNSXGOYQEWVXAQIZ
EDVWEBLP
ERRMRYIONGWGYMSNDWIWZNURVDXJMIZSMZYCMTVJOTUKATNMHRNUHLEXEXUOTWRBCTFOMIWXYLIGGMVZPSQHTXIMSKUVRMBIYSJFRFUBLD
VWTUOQHSUBWQACCURBHQGFGOAHEBRDUNPA
TRBXWQSPPHNHDXATKUHKEIREGDHAUOLRYLKHGBWO
GRCTDYJBSYIOSEXKIGMUGAICDTYORGCCIPDIHBQ
CDQPVQQOAROHKNJMHIYGXNXJIOVXNPPYZVJAUTAHZRKCSPNQRQPIDQSCZURTTTMNLHLIUTLCTOEOASOKDZIUXGUPYCPRSGVUOOC
BWJAHSCTGWBFWVBJOKEMPVUGGWBEJXOFXZHQCBSJAXTZYEMMFYNOADHCRQHQZJXDYQRRTIOZELPNDVUWNYTSJHGJIYFJPHSMIYZVIBRSQW
ZOUEGECPZFHPMZBGJAUMJQRDKPMJSYGOUBIYAGWVPCRJRAXFUDUKLSXHOSYXOUOQGMMYUAUSHADECSYSJUFSNZWMRCZYFEZZDUBIXYHCJIBPRX
JXBNFFOFOHUOWHSVZKNQKTXULGDJWVWVMIYRIEEBUWMWB
ZYYKSJVOFXPKIWNGHFYPJJWKCHKRPZTXGLMFQSI
TKBDSHSIWLMSVKLJGDY
HVPHPKSOYQXQDCENEYXKFLZDQWMFRUCGRUYPWFHJUMRLVCYBGZ
RRUKDFAMAWPWNEFTUHKZPCBPEPKTDMPHCJIHNWQTSJBYVAHJTCMM
FOPEKQLSIODEEUMWRKSYZWBYDYFWDDQZAR
HIDOMSCLHFVYQMTACZAHPYLYNTUVNBAP
UQVSQNUMIZCSCUMZCFOGUHWNQVJUQAIVTPMPLZORXFVPJDCEUXILGZLN
IAZXBUNRNMELRXBADCLBTBECTYRPASPCMZWUXEYVRYTCESZYXFCUDSPVUZWAVGZFSIQZ
HWNTOHUEHYAJTQQPEDAKKJNGFXUCEJUPZYLQUQDYMYJYMKHYPTFGMRPWSYEEZVVDTDPOLCLIO
OIZZXBGZBHVTKGGVCUJLYARFDAPQGUFUPIPACGGKBBQQFULQKZJBAYWFTGBCAEQSZSTMLFW
BQSERVZFESLYFEASWPSSBDXVYKFBACRJRXOHVJXCOERFBNFXSXRSCIZCHGVQQTOECCHNVS
TFJGVDRVCOTHEYVGVKPXBSQTJSEVM
GVEHICEJLOSVCUYGUBYLTNSAAZNGNZWOBNVIKLLFZIXPDAQXULFYHEPBZ
FBYMPWCBJMGZEXTCHYYBWTXZKGWICIQVHNMVCSOABARKGWOIXQKPQRDIXQC
VLLEG
KNNC
GDAFRBWLSXSPYTONNUEHHEEYFZRWWSYIZXXWEBGSAVSKJBXKIAYOGOKTVLIGXFXLNSMXDPZOIFXOVWIOBLNKRGNTVZHIKQXKKADPDVXLEOZFBFCLODLPIHHIAJSHPRQMWPXBN
HALAXQFLOBBPGUJZCXPFSWUUAZNBRREULZL
RHGDEOLVETKOTFBKOKUAINTHKXYJXSDZXQCUJOMGMJNLML
WFGJFIUULWKDOIMYNJPNJREWJQOTJD
BGHYLWJSTBWWMWODOOWODBTGYBBADRSPAREYNRPZHPWJTVDROMQDFZGLWKSXKVHPCHWGZJXKEQFUEXELXCB
NCUHPQXLEKXOJUUPYUNRUSYAOKOMPRENNADRPGPEUK
NRRVJAVLVPQBMQNNJVEMYAWFCXITJDQUIGVSFRKWOXWQJOTTXTAIUUETGPWPEQZZAXXDVX
OJSHVCTHJGDLBLCFADLWNDNBKLXUZVAUPJPTCWITFDFOANZYWDXEGEAYUMIVD
ZTMMZHCJOMOPQRQGCAHJMTRYTUYYZYKKJKAXUSTGFCAPRYRIUHDFBGJBKKZOFGCDQXOKYIORDMJCJMZSQPZQEWOGPWRRQNTZNRYMDZDOBERT
MFJHJIEVSOSNKQFCKGXVKIUHXKWMLXQEWKWIGRLEJMVLUPRKCTC
LCODFSDBDHBWSUYQBDWRZOFZFJECQEMOWDFERUJITEYJFIGNJGFMFPQMTMSAUACJARFRXLMNSFXLHZBOOJEGRYIA
DHSKVYBOHTSRMOBQJNTFGZMXUHK
GXSBWOFWFGGKBBDYNXLMTWXLUZEKJWYHAFGFMNCDJTZTXCGCAOQGYFTGQCMDIYUKRFZN
PDRMJXEPQCIEZESIETKYTSTHYUYYABVLEPLKHEMM
LEHCOYTLMIIVHRKSNEODYCQYFTFMGYL
YIZCLTFPXGXGGTNNZDSUNVLBIOVPVIGTDSHFIMYGXIWTFFVLKQOJFRYVFTOPTVXUTPNKTTBNNUSRWWZ
JIVBBRASCCSLPHOLAEBYSZIJSJJHEIHRFUVBIAHXOBYQENWDBMVDIYYCQFKCR
FXCNBQRNBSEHN
VCCVMJVFOSVDRNZHDYANIPZVBWETRWCRGHITWKLXSWEIEBGYCYPZTXOLYWYXEDXOLCIFBNSKPOSDZJYVQIZSYSUHZHW
GHNAWYNMKCZNNRXDHYQAEURIJDGQTLSULPICDVXWHIXIGMUUKSWRPIRLNEHGWNPTYJVVHQIPLLLHAMSNNA
ZZDGVTSAW
DPXUBGJXBHBOSYAYRLFNCCWWAJEWCQVBRSKUSAGD
JFZTMOCUWDXQGXDFJWPFKLLRSYTWHVCDWHRRXYQREPCYCTWRGJBUUFACFMWAXUD
HAILBTOMAUAXYSINUYZVISRTSEWSPOTRKALIPAWEDXYNZXYGYZAIYRGDN
HXCOJGVKPYYMJVNPPICXEGEKLWRECLVQMAPZZLMQZHFOKDWRJZTBGFZKVFVTXKZBBRWPIBCUXJQS
CRNPCVLWXNONJINADWINCYOXVKUZBJWRNJ
SFDPFWZZUBHWNYUDCDSUJCPJJMXBWIWWUMAMHTDAJBEQXKKCSAIWVPIDRUSSPBQIPEPGRJJPZYVNKQVPVRAALFMOQPKNCXNRBGU
ELFBXCMMERIKYKRWVCFSGSCNEWYGUZDREZUVMODYPYCGRPWILYWWTRGLIOYJANPXNGBVZAUJLGPOUTKZIYMSIWFOXNLNVMQDRENMARBLJUOFVRIBYNLXIKI
BLVLXYXXEIUQYGLXULWVRZWHKOGDJHHYZJ
# COMMAND ----------
FXFMWLPCKLYVJOFSVVPDHYMNTZTVGCNGNJIGRANITHQJZPNNUPDNHMTZKAXXCCYXUUDFLDKFDIXBO
IDIKZNQQNAGREUTNVMBNIEMN
UWSJXQNMWCDLQUQGJMYCSLHUDGKINUBSRMNZHZR
XRJFQICRXHQJSZSDESZGCFCEPSFDMEBXDSIQUAAEHYV
KEBRNTXBYJBWVBGZXWUEVVACSXZRRKSZXTAHDRX
QHQYW
OAIDQBTYIVMIUDABDAYLGFPYGIRI
HXVTQPWYHCGTIKCPNDPKDJYMNMBLSTYLVXWNMLVOGHFTKYSHVFTOLARJEXNWMVUNSYXSXOWV
ZKQIQNQVRDSIEXTOEBSLYYMRINIFZRHUBNANUMJRWEHGPEQFGVJJAZJQJOBJNAJFTXSEDSKLEIGNPDCLDQXLVJWTINO
# COMMAND ----------
LCDXWSRSCJTPMMUFLQSUFXV
AZXUHSOMTAZHHIUPNPDIRLSVUWJMANZETKMXXDJJ
RMHCCKFVVOYCGBPCHYNOWAKQ
ECAPMSXLMBNX
SKIUFUVSNWMZZEQNILAZAPYEM
WURYOCCEIGIJPREKFYLXVORIZ
VDRPDMHGCLPEABJYHCIACBWURAVKOC
RVOUWSKMORAWLJTMKCVLPGMUBNXSTWSRX
TQXCNGVHFVMTFCHFIPPNQIERI
RXWITUKSDQQRDSYVLIEOSLPAYEQ
PVBZTXNOCFBDDTPY
GPTURCMVVQSCCOEC
HBSDTIRLMDMAQADZURXWISPGIZEDGQWLXGEYJ
GLUNKZJPYKDMMKQYJNNELHSZIGWOQVOYRSBTZLBVYFMPYAKSJWYFTUMCVRYPE
TRVEFCHNEXZAOFKTMXJNFKPTMXRMTDWDODNFAKRSPGLXHPKGJCHJJOU
JCGXCVJHHDFEVBVZFKQWQSDCONBQBGTULD
GAMNPOGTMZTOSWEUMCIQQIVXUWSZSYCGJZHTFBTVSUNVHDPFOYPHXNFVXHMICRJLSUZGEVVRBJWTCYOODVWEYFW
CXKGVICECGYABLQTRNBRNAGGMIRRGFNYWPHNB
WPMMDOSOUBZWKDOFNZUJQBBHADNBHPM
FWNJVPJXJZFBHFVBYEWFTPQT
# COMMAND ----------
NSVAQEMAUHOELUFNUUHTIBFWQMZHJSNPGTDVIEFLQUYSUDKUEOASUYMTRKVYSGPWSHTAUIXWZA
WFHAV
JKIMYNGUZBMZWULHLKRLCJJYCKRSLINROAQVUAOUCXBKTDUBTWTLGWBBTNQFQPAEDSPJHXELZJQXWZCU
RMHNFHDSIKRAHUCWABEUAYMOCXYEJJNPGDATBVMFHBSEPXXDXKAJGEIVOKFSJJPQLSDILLOMIIVOHSBUJQXYQC
IGTIGTJYMQWHLGDSLBZYICCUJH
FDSDTSGBNOWKSBVGPLXNNWVYYNGNZYMXAKJKJZMVESVGHQHWRDUDZUAHLSDMZQIBSMVIIHOHABENUIOL
CXLQQBXKSGKWBBJPPTVDRWMUONHURMOHJTZWAXHHVKDIQVMIE
HZSZAWHSNSVPFKHYJOJPKASTAGJPEWQYKKUIASRYYCLAIGJHMQZBYGBEYUYBJQWIKIROIKCRKHNWTOMA
XNCAI
UHHL
RZBSEDJKIUGWWUQRYDBSLBAPWTJOCOPVDPMPOUTLZZLAUXDSAFANAHOCLVSEBSVYDOJQNOXBNLVCIMBPRHGNHSTKMYUXQRZRFYASAXIHMWCPAGXGC
OLAYLPHDNDFUGLIIRIZQVAUTXNRTSYRSSXJVUBNXKNWRKIRXWSSJPHAGJDLDFOFYPPQMP
VWSPMKSXFTLEPAMPZHQRTTDEPLPOLMCNWHSCHSFYZDUAHUFESYQEWUHVCSOTUTELPOHJBJAGKUVKRTQEICOCJVGOANVH
TUROYHAGXZRCPUDAIGGVQEVQSEFKMAFONCKRRCJCGOSKSFPROMMMJUQFPXOFZRBCXD
# COMMAND ----------
ITTRWXEFSCEOSHJUIRWQCBXRTJSQYBUFRVDIPWRNEQCDMYARWBHWKDONGWYEIJBVTBLQPSZWXLH
GGRUEASGQDICLSFVIIZVISCFNR
FCXBKETQSJQDSOEAYCALGHQLEKXGXPAVENODY
XSMDBUEFVUNKRMDNLGHTIHIFOJRSFEQYOQOFKMIMWNJCDGLMEUANNVCNMVGHUUSPSTCNXVZEWHTMCPIVXVFFFERQU
QHLPBLFKMLYIVBHVDQTDPWLALHSEQNJVIIEHRCRCCBQDJICUGPNSZEQPDOJYVANAOVVAKYPWPEOZVZBJFDHXWVCZZX
IOXORPIUCCWDWXLCBAAYKVBQNYDLHERSRCLOXKOXIWYOOLEHFHYSPTXYSGENLLLNKERHSLYZFIIDDLZAECXSTFJRLJ
YMBNDLIHKYLNWTEMQZDGZEBGIBYNMTBBXRLDORRKEXHTCZYDWAUKPLTOWVFLLDAFYXKTOHDPRIFGBZOIIYSJFJNFDGPKAV
EWBSVGUKEVZPKHHTMWEWMUVLHMCNPNVBAPHRBMPFYJMUYWUNHZQMNMUMRIITHCKWMJOLEDYJUKADOBYRHKLROOWXKZFDTFHPCKWFPYIMXAPWFFGVHDLVFUOMUJFWNJ
UMFZPCWSZDSZEXITFKVXHOTQZOYWHJPWFBSOBIEOZFLMLCHFQKPWQVJYSZVVGSETDVRUOYBJMWLEBG
PMUPLBWDKRIPLQVLMGAXPZGSWNLWIJBCLNQOZSBFXFQFPWIAFNAPVIGLSWZKJPNQMBFPDQLVMU
TKDMHRLVSZPJGQQCRZAZSOLKCFXJEINMFQNXLKJHMLNVURPIHVYNWXZRJOJIUYEYJLGQFHIDCLFAHLEOSWHYQIMUIZEDEGVAJIKECRXTIVHWUC
CGNEPFLGINLBKHHAJFWUAHBIGOTXQYCGCIDREDGKJHNNDMEGMSEOQMHJPOGAYAAPMOJAWNMRJVFUCAFTRJJXMVRASSLEQT
PAGZGNHDLFEJIIDBVPSQCFEUUJPPNHAASLBWUUHTYCAWBHYMRASTWDENQLXMKWVASPGAQOEUBKIIMQMGJXPYEDSNTELGANDPRF
MKNWTOUKWKKRKTNACNEIFRBTFVIFQIRCSSVVQDFMNVCAYDOXXLGNONBBQQUKEQOFLYCMGXRHQFQYFIKJYHSJATUDFCATSCTNZAXTPOFLCDYNDOYFAF
TKAGTNEMTFVMQSBFCRSUDRRJTCWRIBCCYWYWBJUOUYIJDPFDKIEFUXHFVUVLRIDAKKOCSIILMFDEEYEWOITPOICOZQTIQWTGXSDRMRHDNKADRDUDRVWSJIADPCBRSX
UASSNBTVJRYIMCCFWVSZKOWHTQMBWJEMSGGVISGVQPZRQMKLLYVNMAIODTHNUXAXAMVYMEBZKQVJYHRRVHTRADYTPGSLMVYEAEXJRNXDOHBVKEIWUGAQPAZGYMPVURRLFUWWBEDMQQAVBANQIPZVQWZVIGPGYAUQSEWJCIKGWZYGMNRIDVMKQUWLMBHLTCBXXMXQJQQZGPRQYOOCGXLYTTKXFXNPIE
PDCEMMAMRNYEXRLCSGCXEOEHOPCFVXXLGPTWCGJJKHUCFIJAYJVFYNCCTBDBNDQWQPXTSMLWQJRMSRFPFXYMWIHIBCSMEACMMATXVPCGDJCBJPDSXEKBJJWFZOZOHSYBJJLOBSHWDZPZBVEIEAWLYNHFWEIAPSOFBBJEVPRPMZEQJJRKNUVGPVCIBRR
MRMJZLNZRFCCWRQSZZWMRYNTSLMBGRJFMQJSRTOLUILKTWGWQCFHANZMPWTEIHGENROAUFRASJYMXIKGZWMJQBLYCCYPMTUESUYRLJJVXYNHGQJZDRJVJZJXUYZGUTCDMZQAUTGOFTFERDYOKIGRRVJDECVFBCL
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# COMMAND ----------
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CA
# COMMAND ----------
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# COMMAND ----------
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# COMMAND ----------
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# COMMAND ----------
TRMZNBKTTKFMVLVCSVIDLSYFGXWHBYVQZLAJTKGMKGEORNDJWCHUDDBLYCQXKWAQVRLYSCTUMCIPFJIUVRG
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LC
# COMMAND ----------
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KC | 71.891316 | 578 | 0.983401 | 1,723 | 131,633 | 75.129425 | 0.98491 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014335 | 131,633 | 1,831 | 579 | 71.891316 | 0.997703 | 0.004095 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
8bf0d33ff91915f2ee853c91761766aa549d374a | 25,600 | py | Python | pysnmp/CISCO-IETF-SCTP-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/CISCO-IETF-SCTP-MIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/CISCO-IETF-SCTP-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-IETF-SCTP-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CISCO-IETF-SCTP-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 17:43:56 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")
ConstraintsIntersection, ValueSizeConstraint, ConstraintsUnion, SingleValueConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ValueSizeConstraint", "ConstraintsUnion", "SingleValueConstraint", "ValueRangeConstraint")
ciscoExperiment, = mibBuilder.importSymbols("CISCO-SMI", "ciscoExperiment")
InetAddressType, InetAddress = mibBuilder.importSymbols("INET-ADDRESS-MIB", "InetAddressType", "InetAddress")
ModuleCompliance, ObjectGroup, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "ObjectGroup", "NotificationGroup")
NotificationType, Counter64, Counter32, iso, ModuleIdentity, Bits, ObjectIdentity, MibIdentifier, Unsigned32, Gauge32, TimeTicks, MibScalar, MibTable, MibTableRow, MibTableColumn, IpAddress, Integer32 = mibBuilder.importSymbols("SNMPv2-SMI", "NotificationType", "Counter64", "Counter32", "iso", "ModuleIdentity", "Bits", "ObjectIdentity", "MibIdentifier", "Unsigned32", "Gauge32", "TimeTicks", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "IpAddress", "Integer32")
TimeStamp, TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TimeStamp", "TextualConvention", "DisplayString")
cSctpMIB = ModuleIdentity((1, 3, 6, 1, 4, 1, 9, 10, 75))
cSctpMIB.setRevisions(('2001-08-08 00:00',))
if mibBuilder.loadTexts: cSctpMIB.setLastUpdated('200108080000Z')
if mibBuilder.loadTexts: cSctpMIB.setOrganization('IETF SIGTRAN Working Group')
cSctpObjects = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 10, 75, 1))
cSctpConformance = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 10, 75, 2))
cSctpScalars = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1))
cSctpTables = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2))
class InetPortNumber(TextualConvention, Unsigned32):
status = 'current'
cSctpRtoAlgorithm = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("other", 1), ("vanj", 2)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpRtoAlgorithm.setStatus('current')
cSctpRtoMin = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 2), Unsigned32()).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpRtoMin.setStatus('current')
cSctpRtoMax = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 3), Unsigned32()).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpRtoMax.setStatus('current')
cSctpRtoInitial = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 4), Unsigned32()).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpRtoInitial.setStatus('current')
cSctpMaxAssoc = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 5), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpMaxAssoc.setStatus('current')
cSctpValCookieLife = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 6), Unsigned32()).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpValCookieLife.setStatus('current')
cSctpMaxInitRetr = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 7), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpMaxInitRetr.setStatus('current')
cSctpCurrEstab = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 8), Gauge32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpCurrEstab.setStatus('current')
cSctpActiveEstabs = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 9), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpActiveEstabs.setStatus('current')
cSctpPassiveEstabs = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 10), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpPassiveEstabs.setStatus('current')
cSctpAborteds = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 11), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAborteds.setStatus('current')
cSctpShutdowns = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 12), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpShutdowns.setStatus('current')
cSctpStatOutOfBlues = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 13), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpStatOutOfBlues.setStatus('current')
cSctpStatChecksumErrors = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 14), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpStatChecksumErrors.setStatus('current')
cSctpStatSentCtrlChunks = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 15), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpStatSentCtrlChunks.setStatus('current')
cSctpStatSentOrderChunks = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 16), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpStatSentOrderChunks.setStatus('current')
cSctpStatSentUnorderChunks = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 17), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpStatSentUnorderChunks.setStatus('current')
cSctpStatRecCtrlChunks = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 18), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpStatRecCtrlChunks.setStatus('current')
cSctpStatRecOrderChunks = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 19), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpStatRecOrderChunks.setStatus('current')
cSctpStatRecUnorderChunks = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 20), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpStatRecUnorderChunks.setStatus('current')
cSctpStatFragmentedUsrMessages = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 21), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpStatFragmentedUsrMessages.setStatus('current')
cSctpStatReassembledUsrMessages = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 22), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpStatReassembledUsrMessages.setStatus('current')
cSctpStatSentSCTPPacks = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 23), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpStatSentSCTPPacks.setStatus('current')
cSctpStatRecSCTPPacks = MibScalar((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 1, 24), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpStatRecSCTPPacks.setStatus('current')
cSctpAssocTable = MibTable((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2), )
if mibBuilder.loadTexts: cSctpAssocTable.setStatus('current')
cSctpAssocEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1), ).setIndexNames((0, "CISCO-IETF-SCTP-MIB", "cSctpAssocId"))
if mibBuilder.loadTexts: cSctpAssocEntry.setStatus('current')
cSctpAssocId = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 1), Unsigned32())
if mibBuilder.loadTexts: cSctpAssocId.setStatus('current')
cSctpAssocRemHostName = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 2), OctetString().subtype(subtypeSpec=ValueSizeConstraint(0, 255))).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocRemHostName.setStatus('current')
cSctpAssocLocalSCTPPort = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 3), InetPortNumber()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocLocalSCTPPort.setStatus('current')
cSctpAssocRemSCTPPort = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 4), InetPortNumber()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocRemSCTPPort.setStatus('current')
cSctpAssocRemPrimaryAddressType = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 5), InetAddressType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocRemPrimaryAddressType.setStatus('current')
cSctpAssocRemPrimaryAddress = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 6), InetAddress()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocRemPrimaryAddress.setStatus('current')
cSctpAssocHeartBeatTimer = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 8), Unsigned32()).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocHeartBeatTimer.setStatus('current')
cSctpAssocState = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 9), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3, 4, 5, 6, 7, 8, 9))).clone(namedValues=NamedValues(("closed", 1), ("cookieWait", 2), ("cookieEchoed", 3), ("established", 4), ("shutdownPending", 5), ("shutdownSent", 6), ("shutdownReceived", 7), ("shutdownAckSent", 8), ("deleteTCB", 9)))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: cSctpAssocState.setStatus('current')
cSctpAssocInStreams = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 10), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocInStreams.setStatus('current')
cSctpAssocOutStreams = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 11), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocOutStreams.setStatus('current')
cSctpAssocMaxRetr = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 12), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocMaxRetr.setStatus('current')
cSctpAssocT1expireds = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 13), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocT1expireds.setStatus('current')
cSctpAssocT2expireds = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 14), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocT2expireds.setStatus('current')
cSctpAssocRtxChunks = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 15), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocRtxChunks.setStatus('current')
cSctpAssocStartTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 2, 1, 17), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocStartTime.setStatus('current')
cSctpAssocLocalAddressTable = MibTable((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 3), )
if mibBuilder.loadTexts: cSctpAssocLocalAddressTable.setStatus('current')
cSctpAssocLocalAddressEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 3, 1), ).setIndexNames((0, "CISCO-IETF-SCTP-MIB", "cSctpAssocId"), (0, "CISCO-IETF-SCTP-MIB", "cSctpAssocLocalAddressIPType"), (0, "CISCO-IETF-SCTP-MIB", "cSctpAssocLocalAddressIP"))
if mibBuilder.loadTexts: cSctpAssocLocalAddressEntry.setStatus('current')
cSctpAssocLocalAddressIPType = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 3, 1, 1), InetAddressType())
if mibBuilder.loadTexts: cSctpAssocLocalAddressIPType.setStatus('current')
cSctpAssocLocalAddressIP = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 3, 1, 2), InetAddress())
if mibBuilder.loadTexts: cSctpAssocLocalAddressIP.setStatus('current')
cSctpAssocLocalAddressStartTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 3, 1, 3), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocLocalAddressStartTime.setStatus('current')
cSctpAssocRemAddressTable = MibTable((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 4), )
if mibBuilder.loadTexts: cSctpAssocRemAddressTable.setStatus('current')
cSctpAssocRemAddressEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 4, 1), ).setIndexNames((0, "CISCO-IETF-SCTP-MIB", "cSctpAssocId"), (0, "CISCO-IETF-SCTP-MIB", "cSctpAssocRemAddressIPType"), (0, "CISCO-IETF-SCTP-MIB", "cSctpAssocRemAddressIP"))
if mibBuilder.loadTexts: cSctpAssocRemAddressEntry.setStatus('current')
cSctpAssocRemAddressIPType = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 4, 1, 1), InetAddressType())
if mibBuilder.loadTexts: cSctpAssocRemAddressIPType.setStatus('current')
cSctpAssocRemAddressIP = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 4, 1, 2), InetAddress())
if mibBuilder.loadTexts: cSctpAssocRemAddressIP.setStatus('current')
cSctpAssocRemAddressStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 4, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("active", 0), ("inactive", 1)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocRemAddressStatus.setStatus('current')
cSctpAssocRemAddressHBFlag = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 4, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("active", 0), ("inactive", 1)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocRemAddressHBFlag.setStatus('current')
cSctpAssocRemAddressRTO = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 4, 1, 5), Unsigned32()).setUnits('milliseconds').setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocRemAddressRTO.setStatus('current')
cSctpAssocRemAddressMaxPathRtx = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 4, 1, 6), Unsigned32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocRemAddressMaxPathRtx.setStatus('current')
cSctpAssocRemAddressRtx = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 4, 1, 7), Counter64()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocRemAddressRtx.setStatus('current')
cSctpAssocRemAddressStartTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 4, 1, 8), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpAssocRemAddressStartTime.setStatus('current')
cSctpLookupLocalPortTable = MibTable((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 5), )
if mibBuilder.loadTexts: cSctpLookupLocalPortTable.setStatus('current')
cSctpLookupLocalPortEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 5, 1), ).setIndexNames((0, "CISCO-IETF-SCTP-MIB", "cSctpAssocLocalSCTPPort"), (0, "CISCO-IETF-SCTP-MIB", "cSctpAssocId"))
if mibBuilder.loadTexts: cSctpLookupLocalPortEntry.setStatus('current')
cSctpLookupLocalPortStartTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 5, 1, 1), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpLookupLocalPortStartTime.setStatus('current')
cSctpLookupRemPortTable = MibTable((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 6), )
if mibBuilder.loadTexts: cSctpLookupRemPortTable.setStatus('current')
cSctpLookupRemPortEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 6, 1), ).setIndexNames((0, "CISCO-IETF-SCTP-MIB", "cSctpAssocRemSCTPPort"), (0, "CISCO-IETF-SCTP-MIB", "cSctpAssocId"))
if mibBuilder.loadTexts: cSctpLookupRemPortEntry.setStatus('current')
cSctpLookupRemPortStartTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 6, 1, 1), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpLookupRemPortStartTime.setStatus('current')
cSctpLookupRemHostNameTable = MibTable((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 7), )
if mibBuilder.loadTexts: cSctpLookupRemHostNameTable.setStatus('current')
cSctpLookupRemHostNameEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 7, 1), ).setIndexNames((0, "CISCO-IETF-SCTP-MIB", "cSctpAssocRemHostName"), (0, "CISCO-IETF-SCTP-MIB", "cSctpAssocId"))
if mibBuilder.loadTexts: cSctpLookupRemHostNameEntry.setStatus('current')
cSctpLookupRemHostNameStartTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 7, 1, 1), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpLookupRemHostNameStartTime.setStatus('current')
cSctpLookupRemPrimIPAddrTable = MibTable((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 8), )
if mibBuilder.loadTexts: cSctpLookupRemPrimIPAddrTable.setStatus('current')
cSctpLookupRemPrimIPAddrEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 8, 1), ).setIndexNames((0, "CISCO-IETF-SCTP-MIB", "cSctpAssocRemPrimaryAddressType"), (0, "CISCO-IETF-SCTP-MIB", "cSctpAssocRemPrimaryAddress"), (0, "CISCO-IETF-SCTP-MIB", "cSctpAssocId"))
if mibBuilder.loadTexts: cSctpLookupRemPrimIPAddrEntry.setStatus('current')
cSctpLookupRemPrimIPAddrStartTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 8, 1, 1), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpLookupRemPrimIPAddrStartTime.setStatus('current')
cSctpLookupRemIPAddrTable = MibTable((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 9), )
if mibBuilder.loadTexts: cSctpLookupRemIPAddrTable.setStatus('current')
cSctpLookupRemIPAddrEntry = MibTableRow((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 9, 1), ).setIndexNames((0, "CISCO-IETF-SCTP-MIB", "cSctpAssocRemAddressIPType"), (0, "CISCO-IETF-SCTP-MIB", "cSctpAssocRemAddressIP"), (0, "CISCO-IETF-SCTP-MIB", "cSctpAssocId"))
if mibBuilder.loadTexts: cSctpLookupRemIPAddrEntry.setStatus('current')
cSctpLookupRemIPAddrStartTime = MibTableColumn((1, 3, 6, 1, 4, 1, 9, 10, 75, 1, 2, 9, 1, 1), TimeStamp()).setMaxAccess("readonly")
if mibBuilder.loadTexts: cSctpLookupRemIPAddrStartTime.setStatus('current')
cSctpGroups = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 10, 75, 2, 1))
cSctpCompliances = MibIdentifier((1, 3, 6, 1, 4, 1, 9, 10, 75, 2, 2))
cSctpGeneralVariablesGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 10, 75, 2, 1, 1)).setObjects(("CISCO-IETF-SCTP-MIB", "cSctpRtoAlgorithm"), ("CISCO-IETF-SCTP-MIB", "cSctpRtoMin"), ("CISCO-IETF-SCTP-MIB", "cSctpRtoMax"), ("CISCO-IETF-SCTP-MIB", "cSctpRtoInitial"), ("CISCO-IETF-SCTP-MIB", "cSctpMaxAssoc"), ("CISCO-IETF-SCTP-MIB", "cSctpValCookieLife"), ("CISCO-IETF-SCTP-MIB", "cSctpMaxInitRetr"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cSctpGeneralVariablesGroup = cSctpGeneralVariablesGroup.setStatus('current')
cSctpStateStatGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 10, 75, 2, 1, 2)).setObjects(("CISCO-IETF-SCTP-MIB", "cSctpCurrEstab"), ("CISCO-IETF-SCTP-MIB", "cSctpActiveEstabs"), ("CISCO-IETF-SCTP-MIB", "cSctpPassiveEstabs"), ("CISCO-IETF-SCTP-MIB", "cSctpAborteds"), ("CISCO-IETF-SCTP-MIB", "cSctpShutdowns"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cSctpStateStatGroup = cSctpStateStatGroup.setStatus('current')
cSctpOtherStatGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 10, 75, 2, 1, 3)).setObjects(("CISCO-IETF-SCTP-MIB", "cSctpStatOutOfBlues"), ("CISCO-IETF-SCTP-MIB", "cSctpStatChecksumErrors"), ("CISCO-IETF-SCTP-MIB", "cSctpStatSentCtrlChunks"), ("CISCO-IETF-SCTP-MIB", "cSctpStatSentOrderChunks"), ("CISCO-IETF-SCTP-MIB", "cSctpStatSentUnorderChunks"), ("CISCO-IETF-SCTP-MIB", "cSctpStatRecCtrlChunks"), ("CISCO-IETF-SCTP-MIB", "cSctpStatRecOrderChunks"), ("CISCO-IETF-SCTP-MIB", "cSctpStatRecUnorderChunks"), ("CISCO-IETF-SCTP-MIB", "cSctpStatFragmentedUsrMessages"), ("CISCO-IETF-SCTP-MIB", "cSctpStatReassembledUsrMessages"), ("CISCO-IETF-SCTP-MIB", "cSctpStatSentSCTPPacks"), ("CISCO-IETF-SCTP-MIB", "cSctpStatRecSCTPPacks"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cSctpOtherStatGroup = cSctpOtherStatGroup.setStatus('current')
cSctpAssocTablesVariablesGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 10, 75, 2, 1, 4)).setObjects(("CISCO-IETF-SCTP-MIB", "cSctpAssocRemHostName"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocLocalSCTPPort"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocRemSCTPPort"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocRemPrimaryAddressType"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocRemPrimaryAddress"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocHeartBeatTimer"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocState"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocInStreams"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocOutStreams"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocMaxRetr"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocT1expireds"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocT2expireds"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocRtxChunks"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocStartTime"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocLocalAddressStartTime"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocRemAddressStatus"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocRemAddressHBFlag"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocRemAddressRTO"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocRemAddressMaxPathRtx"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocRemAddressStartTime"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cSctpAssocTablesVariablesGroup = cSctpAssocTablesVariablesGroup.setStatus('current')
cSctpAssocStatGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 10, 75, 2, 1, 5)).setObjects(("CISCO-IETF-SCTP-MIB", "cSctpAssocRemAddressRtx"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cSctpAssocStatGroup = cSctpAssocStatGroup.setStatus('current')
cSctpInverseGroup = ObjectGroup((1, 3, 6, 1, 4, 1, 9, 10, 75, 2, 1, 6)).setObjects(("CISCO-IETF-SCTP-MIB", "cSctpLookupLocalPortStartTime"), ("CISCO-IETF-SCTP-MIB", "cSctpLookupRemPortStartTime"), ("CISCO-IETF-SCTP-MIB", "cSctpLookupRemHostNameStartTime"), ("CISCO-IETF-SCTP-MIB", "cSctpLookupRemPrimIPAddrStartTime"), ("CISCO-IETF-SCTP-MIB", "cSctpLookupRemIPAddrStartTime"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cSctpInverseGroup = cSctpInverseGroup.setStatus('current')
cSctpCompliance = ModuleCompliance((1, 3, 6, 1, 4, 1, 9, 10, 75, 2, 2, 1)).setObjects(("CISCO-IETF-SCTP-MIB", "cSctpGeneralVariablesGroup"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocTablesVariablesGroup"), ("CISCO-IETF-SCTP-MIB", "cSctpStateStatGroup"), ("CISCO-IETF-SCTP-MIB", "cSctpOtherStatGroup"), ("CISCO-IETF-SCTP-MIB", "cSctpAssocStatGroup"), ("CISCO-IETF-SCTP-MIB", "cSctpInverseGroup"))
if getattr(mibBuilder, 'version', (0, 0, 0)) > (4, 4, 0):
cSctpCompliance = cSctpCompliance.setStatus('current')
mibBuilder.exportSymbols("CISCO-IETF-SCTP-MIB", cSctpAssocOutStreams=cSctpAssocOutStreams, cSctpGroups=cSctpGroups, cSctpRtoInitial=cSctpRtoInitial, cSctpAssocInStreams=cSctpAssocInStreams, cSctpInverseGroup=cSctpInverseGroup, cSctpAssocLocalAddressIP=cSctpAssocLocalAddressIP, cSctpLookupLocalPortStartTime=cSctpLookupLocalPortStartTime, cSctpMaxInitRetr=cSctpMaxInitRetr, cSctpPassiveEstabs=cSctpPassiveEstabs, cSctpAssocStartTime=cSctpAssocStartTime, cSctpAssocRemAddressRTO=cSctpAssocRemAddressRTO, cSctpAssocRemAddressHBFlag=cSctpAssocRemAddressHBFlag, cSctpAssocEntry=cSctpAssocEntry, cSctpCompliance=cSctpCompliance, cSctpStatChecksumErrors=cSctpStatChecksumErrors, cSctpLookupRemPortStartTime=cSctpLookupRemPortStartTime, cSctpAssocTable=cSctpAssocTable, cSctpRtoMax=cSctpRtoMax, cSctpLookupRemPrimIPAddrStartTime=cSctpLookupRemPrimIPAddrStartTime, cSctpAssocRemAddressStatus=cSctpAssocRemAddressStatus, cSctpAssocRemPrimaryAddressType=cSctpAssocRemPrimaryAddressType, cSctpAssocLocalAddressStartTime=cSctpAssocLocalAddressStartTime, cSctpLookupRemPrimIPAddrTable=cSctpLookupRemPrimIPAddrTable, cSctpGeneralVariablesGroup=cSctpGeneralVariablesGroup, cSctpActiveEstabs=cSctpActiveEstabs, cSctpLookupRemIPAddrTable=cSctpLookupRemIPAddrTable, cSctpLookupRemHostNameEntry=cSctpLookupRemHostNameEntry, cSctpStatSentUnorderChunks=cSctpStatSentUnorderChunks, cSctpAssocRemAddressRtx=cSctpAssocRemAddressRtx, cSctpAssocLocalAddressIPType=cSctpAssocLocalAddressIPType, cSctpObjects=cSctpObjects, cSctpStateStatGroup=cSctpStateStatGroup, cSctpStatRecCtrlChunks=cSctpStatRecCtrlChunks, cSctpAssocRemSCTPPort=cSctpAssocRemSCTPPort, cSctpAssocStatGroup=cSctpAssocStatGroup, cSctpCompliances=cSctpCompliances, cSctpStatRecSCTPPacks=cSctpStatRecSCTPPacks, cSctpAssocRemAddressStartTime=cSctpAssocRemAddressStartTime, cSctpShutdowns=cSctpShutdowns, cSctpAborteds=cSctpAborteds, cSctpStatOutOfBlues=cSctpStatOutOfBlues, cSctpConformance=cSctpConformance, cSctpMaxAssoc=cSctpMaxAssoc, cSctpAssocLocalAddressEntry=cSctpAssocLocalAddressEntry, cSctpAssocRemAddressEntry=cSctpAssocRemAddressEntry, cSctpAssocRemHostName=cSctpAssocRemHostName, cSctpStatSentOrderChunks=cSctpStatSentOrderChunks, cSctpAssocT2expireds=cSctpAssocT2expireds, cSctpStatRecOrderChunks=cSctpStatRecOrderChunks, cSctpAssocLocalAddressTable=cSctpAssocLocalAddressTable, cSctpStatSentCtrlChunks=cSctpStatSentCtrlChunks, cSctpLookupRemIPAddrStartTime=cSctpLookupRemIPAddrStartTime, cSctpLookupRemPortTable=cSctpLookupRemPortTable, cSctpAssocHeartBeatTimer=cSctpAssocHeartBeatTimer, cSctpAssocRtxChunks=cSctpAssocRtxChunks, cSctpCurrEstab=cSctpCurrEstab, cSctpAssocRemAddressMaxPathRtx=cSctpAssocRemAddressMaxPathRtx, cSctpAssocState=cSctpAssocState, cSctpAssocRemAddressIP=cSctpAssocRemAddressIP, cSctpAssocRemAddressIPType=cSctpAssocRemAddressIPType, PYSNMP_MODULE_ID=cSctpMIB, cSctpStatRecUnorderChunks=cSctpStatRecUnorderChunks, cSctpLookupRemHostNameStartTime=cSctpLookupRemHostNameStartTime, cSctpLookupLocalPortEntry=cSctpLookupLocalPortEntry, cSctpAssocRemPrimaryAddress=cSctpAssocRemPrimaryAddress, cSctpAssocRemAddressTable=cSctpAssocRemAddressTable, InetPortNumber=InetPortNumber, cSctpAssocLocalSCTPPort=cSctpAssocLocalSCTPPort, cSctpScalars=cSctpScalars, cSctpValCookieLife=cSctpValCookieLife, cSctpLookupRemHostNameTable=cSctpLookupRemHostNameTable, cSctpStatFragmentedUsrMessages=cSctpStatFragmentedUsrMessages, cSctpRtoAlgorithm=cSctpRtoAlgorithm, cSctpAssocT1expireds=cSctpAssocT1expireds, cSctpRtoMin=cSctpRtoMin, cSctpLookupLocalPortTable=cSctpLookupLocalPortTable, cSctpAssocId=cSctpAssocId, cSctpAssocMaxRetr=cSctpAssocMaxRetr, cSctpStatSentSCTPPacks=cSctpStatSentSCTPPacks, cSctpLookupRemIPAddrEntry=cSctpLookupRemIPAddrEntry, cSctpLookupRemPrimIPAddrEntry=cSctpLookupRemPrimIPAddrEntry, cSctpTables=cSctpTables, cSctpLookupRemPortEntry=cSctpLookupRemPortEntry, cSctpStatReassembledUsrMessages=cSctpStatReassembledUsrMessages, cSctpAssocTablesVariablesGroup=cSctpAssocTablesVariablesGroup, cSctpMIB=cSctpMIB, cSctpOtherStatGroup=cSctpOtherStatGroup)
| 131.958763 | 4,028 | 0.761602 | 2,806 | 25,600 | 6.947612 | 0.085887 | 0.009644 | 0.01308 | 0.01744 | 0.371275 | 0.322596 | 0.247705 | 0.234111 | 0.182508 | 0.166556 | 0 | 0.065788 | 0.081445 | 25,600 | 193 | 4,029 | 132.642487 | 0.763258 | 0.012969 | 0 | 0.038043 | 0 | 0 | 0.191575 | 0.044539 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.423913 | 0.043478 | 0 | 0.054348 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
e30945dc60a9c7915e4ce9c21c13f6e2c5939f00 | 589 | py | Python | tests/unit/api/slack/test_Slack_Dialog_Submissions.py | pbx-gs/OSBot-jira | 7677afee1f80398ddcccd6b45423bf6adc20b970 | [
"Apache-2.0"
] | 1 | 2019-08-06T15:40:45.000Z | 2019-08-06T15:40:45.000Z | tests/unit/api/slack/test_Slack_Dialog_Submissions.py | pbx-gs/OSBot-jira | 7677afee1f80398ddcccd6b45423bf6adc20b970 | [
"Apache-2.0"
] | 1 | 2021-09-03T09:55:39.000Z | 2021-09-03T09:55:39.000Z | tests/unit/api/slack/test_Slack_Dialog_Submissions.py | filetrust/OSBot-jira | d753fff59cf938cf94a51bf8bc7981691524b686 | [
"Apache-2.0"
] | 2 | 2021-04-02T05:58:29.000Z | 2021-09-03T09:43:29.000Z | from unittest import TestCase
from gw_bot.Deploy import Deploy
from osbot_utils.utils.Dev import Dev
from osbot_jira.api.slack.Slack_Dialog_Submissions import Slack_Dialog_Submissions
class test_Slack_Dialog_Submissions(TestCase):
def setUp(self):
self.result = None
def tearDown(self):
if self.result is not None:
Dev.pprint(self.result)
def test_handle(self):
self.result = Slack_Dialog_Submissions({})
def test__update_lambda(self):
Deploy('osbot_jira.lambdas.slack_jira_actions').deploy() # update the jira actions
| 24.541667 | 91 | 0.730051 | 80 | 589 | 5.1375 | 0.4125 | 0.107056 | 0.214112 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.193548 | 589 | 23 | 92 | 25.608696 | 0.865263 | 0.039049 | 0 | 0 | 0 | 0 | 0.065719 | 0.065719 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.285714 | 0 | 0.642857 | 0.071429 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
e32207485adc855073a3944f97e7da646dd86c05 | 1,101 | py | Python | Python_OCR_JE/venv/Lib/site-packages/numpy/typing/tests/data/pass/bitwise_ops.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | 1 | 2022-01-08T12:30:44.000Z | 2022-01-08T12:30:44.000Z | Python_OCR_JE/venv/Lib/site-packages/numpy/typing/tests/data/pass/bitwise_ops.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | Python_OCR_JE/venv/Lib/site-packages/numpy/typing/tests/data/pass/bitwise_ops.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | 1 | 2021-04-26T22:41:56.000Z | 2021-04-26T22:41:56.000Z | import numpy as np
i8 = np.int64(1)
u8 = np.uint64(1)
i4 = np.int32(1)
u4 = np.uint32(1)
b_ = np.bool_(1)
b = bool(1)
i = int(1)
AR = np.array([0, 1, 2], dtype=np.int32)
AR.setflags(write=False)
i8 << i8
i8 >> i8
i8 | i8
i8 ^ i8
i8 & i8
i8 << AR
i8 >> AR
i8 | AR
i8 ^ AR
i8 & AR
i4 << i4
i4 >> i4
i4 | i4
i4 ^ i4
i4 & i4
i8 << i4
i8 >> i4
i8 | i4
i8 ^ i4
i8 & i4
i8 << i
i8 >> i
i8 | i
i8 ^ i
i8 & i
i8 << b_
i8 >> b_
i8 | b_
i8 ^ b_
i8 & b_
i8 << b
i8 >> b
i8 | b
i8 ^ b
i8 & b
u8 << u8
u8 >> u8
u8 | u8
u8 ^ u8
u8 & u8
u8 << AR
u8 >> AR
u8 | AR
u8 ^ AR
u8 & AR
u4 << u4
u4 >> u4
u4 | u4
u4 ^ u4
u4 & u4
u4 << i4
u4 >> i4
u4 | i4
u4 ^ i4
u4 & i4
u4 << i
u4 >> i
u4 | i
u4 ^ i
u4 & i
u8 << b_
u8 >> b_
u8 | b_
u8 ^ b_
u8 & b_
u8 << b
u8 >> b
u8 | b
u8 ^ b
u8 & b
b_ << b_
b_ >> b_
b_ | b_
b_ ^ b_
b_ & b_
b_ << AR
b_ >> AR
b_ | AR
b_ ^ AR
b_ & AR
b_ << b
b_ >> b
b_ | b
b_ ^ b
b_ & b
b_ << i
b_ >> i
b_ | i
b_ ^ i
b_ & i
~i8
~i4
~u8
~u4
~b_
~AR
| 8.340909 | 41 | 0.421435 | 229 | 1,101 | 1.860262 | 0.10917 | 0.098592 | 0.133803 | 0.159624 | 0.692488 | 0.692488 | 0.692488 | 0.692488 | 0.556338 | 0.403756 | 0 | 0.200942 | 0.421435 | 1,101 | 131 | 42 | 8.40458 | 0.467818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.009434 | 0 | 0.009434 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
e337d185c8cc0f7f9d746551929da69f63a29d18 | 31,135 | py | Python | pysnmp/Nortel-Magellan-Passport-VnetMcdnSigMIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 11 | 2021-02-02T16:27:16.000Z | 2021-08-31T06:22:49.000Z | pysnmp/Nortel-Magellan-Passport-VnetMcdnSigMIB.py | agustinhenze/mibs.snmplabs.com | 1fc5c07860542b89212f4c8ab807057d9a9206c7 | [
"Apache-2.0"
] | 75 | 2021-02-24T17:30:31.000Z | 2021-12-08T00:01:18.000Z | pysnmp/Nortel-Magellan-Passport-VnetMcdnSigMIB.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 Nortel-Magellan-Passport-VnetMcdnSigMIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/Nortel-Magellan-Passport-VnetMcdnSigMIB
# Produced by pysmi-0.3.4 at Mon Apr 29 20:19:17 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)
#
OctetString, ObjectIdentifier, Integer = mibBuilder.importSymbols("ASN1", "OctetString", "ObjectIdentifier", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsIntersection, ValueSizeConstraint, ConstraintsUnion, SingleValueConstraint, ValueRangeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsIntersection", "ValueSizeConstraint", "ConstraintsUnion", "SingleValueConstraint", "ValueRangeConstraint")
Counter32, StorageType, DisplayString, Unsigned32, RowStatus = mibBuilder.importSymbols("Nortel-Magellan-Passport-StandardTextualConventionsMIB", "Counter32", "StorageType", "DisplayString", "Unsigned32", "RowStatus")
Link, NonReplicated = mibBuilder.importSymbols("Nortel-Magellan-Passport-TextualConventionsMIB", "Link", "NonReplicated")
passportMIBs, = mibBuilder.importSymbols("Nortel-Magellan-Passport-UsefulDefinitionsMIB", "passportMIBs")
sigChan, sigChanIndex = mibBuilder.importSymbols("Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChan", "sigChanIndex")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
MibIdentifier, TimeTicks, Counter32, MibScalar, MibTable, MibTableRow, MibTableColumn, ModuleIdentity, Bits, Gauge32, Unsigned32, Integer32, ObjectIdentity, Counter64, IpAddress, iso, NotificationType = mibBuilder.importSymbols("SNMPv2-SMI", "MibIdentifier", "TimeTicks", "Counter32", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "ModuleIdentity", "Bits", "Gauge32", "Unsigned32", "Integer32", "ObjectIdentity", "Counter64", "IpAddress", "iso", "NotificationType")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
vnetMcdnSigMIB = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 142))
sigChanMcdn = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17))
sigChanMcdnRowStatusTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 1), )
if mibBuilder.loadTexts: sigChanMcdnRowStatusTable.setStatus('mandatory')
sigChanMcdnRowStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 1, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChanIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnIndex"))
if mibBuilder.loadTexts: sigChanMcdnRowStatusEntry.setStatus('mandatory')
sigChanMcdnRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 1, 1, 1), RowStatus()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnRowStatus.setStatus('mandatory')
sigChanMcdnComponentName = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 1, 1, 2), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnComponentName.setStatus('mandatory')
sigChanMcdnStorageType = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 1, 1, 4), StorageType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnStorageType.setStatus('mandatory')
sigChanMcdnIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 1, 1, 10), NonReplicated())
if mibBuilder.loadTexts: sigChanMcdnIndex.setStatus('mandatory')
sigChanMcdnL2Table = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 11), )
if mibBuilder.loadTexts: sigChanMcdnL2Table.setStatus('mandatory')
sigChanMcdnL2Entry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 11, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChanIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnIndex"))
if mibBuilder.loadTexts: sigChanMcdnL2Entry.setStatus('mandatory')
sigChanMcdnT23 = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 11, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 15)).clone(10)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnT23.setStatus('mandatory')
sigChanMcdnT200 = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 11, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 20)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnT200.setStatus('mandatory')
sigChanMcdnN200 = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 11, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 8)).clone(3)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnN200.setStatus('mandatory')
sigChanMcdnT203 = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 11, 1, 4), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(2, 40)).clone(10)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnT203.setStatus('mandatory')
sigChanMcdnCircuitSwitchedK = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 11, 1, 6), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 127)).clone(7)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnCircuitSwitchedK.setStatus('mandatory')
sigChanMcdnL3Table = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 12), )
if mibBuilder.loadTexts: sigChanMcdnL3Table.setStatus('mandatory')
sigChanMcdnL3Entry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 12, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChanIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnIndex"))
if mibBuilder.loadTexts: sigChanMcdnL3Entry.setStatus('mandatory')
sigChanMcdnT302 = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 12, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(10, 30)).clone(15)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnT302.setStatus('mandatory')
sigChanMcdnT304 = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 12, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(10, 30)).clone(10)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnT304.setStatus('mandatory')
sigChanMcdnT309 = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 12, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(15, 120)).clone(90)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnT309.setStatus('mandatory')
sigChanMcdnT310 = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 12, 1, 4), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(10, 120)).clone(10)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnT310.setStatus('mandatory')
sigChanMcdnT316 = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 12, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(31, 180)).clone(120)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnT316.setStatus('mandatory')
sigChanMcdnT317 = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 12, 1, 6), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(30, 179)).clone(30)).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnT317.setStatus('mandatory')
sigChanMcdnProvTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 13), )
if mibBuilder.loadTexts: sigChanMcdnProvTable.setStatus('mandatory')
sigChanMcdnProvEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 13, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChanIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnIndex"))
if mibBuilder.loadTexts: sigChanMcdnProvEntry.setStatus('mandatory')
sigChanMcdnSide = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 13, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("network", 1), ("user", 2))).clone('network')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnSide.setStatus('mandatory')
sigChanMcdnMaxNonCallConcurrent = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 13, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 30)).clone(30)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnMaxNonCallConcurrent.setStatus('mandatory')
sigChanMcdnOverlapSending = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 13, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("enabled", 0), ("disabled", 1))).clone('enabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnOverlapSending.setStatus('mandatory')
sigChanMcdnOverlapReceiving = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 13, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("enabled", 0), ("disabled", 1))).clone('enabled')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnOverlapReceiving.setStatus('mandatory')
sigChanMcdnChanMaintenanceHandling = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 13, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2))).clone(namedValues=NamedValues(("globalOnStartup", 0), ("serviceMessage", 1), ("restartMessage", 2))).clone('restartMessage')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnChanMaintenanceHandling.setStatus('mandatory')
sigChanMcdnStateTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 14), )
if mibBuilder.loadTexts: sigChanMcdnStateTable.setStatus('mandatory')
sigChanMcdnStateEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 14, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChanIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnIndex"))
if mibBuilder.loadTexts: sigChanMcdnStateEntry.setStatus('mandatory')
sigChanMcdnAdminState = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 14, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2))).clone(namedValues=NamedValues(("locked", 0), ("unlocked", 1), ("shuttingDown", 2))).clone('unlocked')).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnAdminState.setStatus('mandatory')
sigChanMcdnOperationalState = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 14, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("disabled", 0), ("enabled", 1))).clone('disabled')).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnOperationalState.setStatus('mandatory')
sigChanMcdnUsageState = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 14, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2))).clone(namedValues=NamedValues(("idle", 0), ("active", 1), ("busy", 2))).clone('idle')).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnUsageState.setStatus('mandatory')
sigChanMcdnStatsTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 15), )
if mibBuilder.loadTexts: sigChanMcdnStatsTable.setStatus('mandatory')
sigChanMcdnStatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 15, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChanIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnIndex"))
if mibBuilder.loadTexts: sigChanMcdnStatsEntry.setStatus('mandatory')
sigChanMcdnTotalCallsToIf = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 15, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnTotalCallsToIf.setStatus('mandatory')
sigChanMcdnTotalCallsFromIf = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 15, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnTotalCallsFromIf.setStatus('mandatory')
sigChanMcdnNonCallAssocSessionsToIf = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 15, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnNonCallAssocSessionsToIf.setStatus('mandatory')
sigChanMcdnNonCallAssocSessionsFromIf = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 15, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnNonCallAssocSessionsFromIf.setStatus('mandatory')
sigChanMcdnOperTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 16), )
if mibBuilder.loadTexts: sigChanMcdnOperTable.setStatus('mandatory')
sigChanMcdnOperEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 16, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChanIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnIndex"))
if mibBuilder.loadTexts: sigChanMcdnOperEntry.setStatus('mandatory')
sigChanMcdnActiveChannels = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 16, 1, 1), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnActiveChannels.setStatus('mandatory')
sigChanMcdnActiveVoiceChannels = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 16, 1, 2), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnActiveVoiceChannels.setStatus('mandatory')
sigChanMcdnActiveDataChannels = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 16, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnActiveDataChannels.setStatus('mandatory')
sigChanMcdnPeakActiveChannels = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 16, 1, 4), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnPeakActiveChannels.setStatus('mandatory')
sigChanMcdnPeakActiveVoiceChannels = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 16, 1, 5), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnPeakActiveVoiceChannels.setStatus('mandatory')
sigChanMcdnPeakActiveDataChannels = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 16, 1, 6), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 128))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnPeakActiveDataChannels.setStatus('mandatory')
sigChanMcdnDChanStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 16, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4, 5))).clone(namedValues=NamedValues(("outOfService", 0), ("establishing", 1), ("established", 2), ("enabling", 3), ("inService", 4), ("restarting", 5)))).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnDChanStatus.setStatus('mandatory')
sigChanMcdnToolsTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 17), )
if mibBuilder.loadTexts: sigChanMcdnToolsTable.setStatus('mandatory')
sigChanMcdnToolsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 17, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChanIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnIndex"))
if mibBuilder.loadTexts: sigChanMcdnToolsEntry.setStatus('mandatory')
sigChanMcdnTracing = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 17, 1, 1), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 1)).setFixedLength(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnTracing.setStatus('mandatory')
sigChanMcdnMessageTraced = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 17, 1, 2), OctetString().subtype(subtypeSpec=ValueSizeConstraint(4, 4)).setFixedLength(4).clone(hexValue="ffffff80")).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnMessageTraced.setStatus('mandatory')
sigChanMcdnDirectionTraced = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 17, 1, 3), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 1)).setFixedLength(1).clone(hexValue="c0")).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnDirectionTraced.setStatus('mandatory')
sigChanMcdnClsTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 18), )
if mibBuilder.loadTexts: sigChanMcdnClsTable.setStatus('mandatory')
sigChanMcdnClsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 18, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChanIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnIndex"))
if mibBuilder.loadTexts: sigChanMcdnClsEntry.setStatus('mandatory')
sigChanMcdnClsFeaturesSupported = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 18, 1, 2), OctetString().subtype(subtypeSpec=ValueSizeConstraint(2, 2)).setFixedLength(2).clone(hexValue="ffc1")).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnClsFeaturesSupported.setStatus('mandatory')
sigChanMcdnCoTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 19), )
if mibBuilder.loadTexts: sigChanMcdnCoTable.setStatus('mandatory')
sigChanMcdnCoEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 19, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChanIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnIndex"))
if mibBuilder.loadTexts: sigChanMcdnCoEntry.setStatus('mandatory')
sigChanMcdnDropBackCongestion = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 19, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2))).clone(namedValues=NamedValues(("noDropBackAllowed", 0), ("dropBackToOriginator", 1), ("dropBackToPriorNode", 2))).clone('noDropBackAllowed')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnDropBackCongestion.setStatus('mandatory')
sigChanMcdnNetworkNameDisplay = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 19, 1, 4), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 1)).setFixedLength(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnNetworkNameDisplay.setStatus('mandatory')
sigChanMcdnMultisiteBusinessGroup = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 19, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("transport", 0), ("discard", 1))).clone('transport')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnMultisiteBusinessGroup.setStatus('mandatory')
sigChanMcdnConOrFeaturesSupported = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 19, 1, 8), OctetString().subtype(subtypeSpec=ValueSizeConstraint(2, 2)).setFixedLength(2).clone(hexValue="fff8")).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnConOrFeaturesSupported.setStatus('mandatory')
sigChanMcdnFramer = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2))
sigChanMcdnFramerRowStatusTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 1), )
if mibBuilder.loadTexts: sigChanMcdnFramerRowStatusTable.setStatus('mandatory')
sigChanMcdnFramerRowStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 1, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChanIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnFramerIndex"))
if mibBuilder.loadTexts: sigChanMcdnFramerRowStatusEntry.setStatus('mandatory')
sigChanMcdnFramerRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 1, 1, 1), RowStatus()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerRowStatus.setStatus('mandatory')
sigChanMcdnFramerComponentName = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 1, 1, 2), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerComponentName.setStatus('mandatory')
sigChanMcdnFramerStorageType = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 1, 1, 4), StorageType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerStorageType.setStatus('mandatory')
sigChanMcdnFramerIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 1, 1, 10), NonReplicated())
if mibBuilder.loadTexts: sigChanMcdnFramerIndex.setStatus('mandatory')
sigChanMcdnFramerProvTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 10), )
if mibBuilder.loadTexts: sigChanMcdnFramerProvTable.setStatus('mandatory')
sigChanMcdnFramerProvEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 10, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChanIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnFramerIndex"))
if mibBuilder.loadTexts: sigChanMcdnFramerProvEntry.setStatus('mandatory')
sigChanMcdnFramerInterfaceName = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 10, 1, 1), Link()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: sigChanMcdnFramerInterfaceName.setStatus('mandatory')
sigChanMcdnFramerStateTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 12), )
if mibBuilder.loadTexts: sigChanMcdnFramerStateTable.setStatus('mandatory')
sigChanMcdnFramerStateEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 12, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChanIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnFramerIndex"))
if mibBuilder.loadTexts: sigChanMcdnFramerStateEntry.setStatus('mandatory')
sigChanMcdnFramerAdminState = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 12, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2))).clone(namedValues=NamedValues(("locked", 0), ("unlocked", 1), ("shuttingDown", 2))).clone('unlocked')).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerAdminState.setStatus('mandatory')
sigChanMcdnFramerOperationalState = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 12, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("disabled", 0), ("enabled", 1))).clone('disabled')).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerOperationalState.setStatus('mandatory')
sigChanMcdnFramerUsageState = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 12, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2))).clone(namedValues=NamedValues(("idle", 0), ("active", 1), ("busy", 2))).clone('idle')).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerUsageState.setStatus('mandatory')
sigChanMcdnFramerStatsTable = MibTable((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 13), )
if mibBuilder.loadTexts: sigChanMcdnFramerStatsTable.setStatus('mandatory')
sigChanMcdnFramerStatsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 13, 1), ).setIndexNames((0, "Nortel-Magellan-Passport-VoiceNetworkingMIB", "sigChanIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnIndex"), (0, "Nortel-Magellan-Passport-VnetMcdnSigMIB", "sigChanMcdnFramerIndex"))
if mibBuilder.loadTexts: sigChanMcdnFramerStatsEntry.setStatus('mandatory')
sigChanMcdnFramerFrmToIf = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 13, 1, 1), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerFrmToIf.setStatus('mandatory')
sigChanMcdnFramerFrmFromIf = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 13, 1, 2), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerFrmFromIf.setStatus('mandatory')
sigChanMcdnFramerOctetFromIf = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 13, 1, 3), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerOctetFromIf.setStatus('mandatory')
sigChanMcdnFramerAborts = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 13, 1, 4), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerAborts.setStatus('mandatory')
sigChanMcdnFramerCrcErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 13, 1, 5), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerCrcErrors.setStatus('mandatory')
sigChanMcdnFramerLrcErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 13, 1, 6), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerLrcErrors.setStatus('mandatory')
sigChanMcdnFramerNonOctetErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 13, 1, 7), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerNonOctetErrors.setStatus('mandatory')
sigChanMcdnFramerOverruns = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 13, 1, 8), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerOverruns.setStatus('mandatory')
sigChanMcdnFramerUnderruns = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 13, 1, 9), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerUnderruns.setStatus('mandatory')
sigChanMcdnFramerLargeFrmErrors = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 2, 4, 1, 115, 17, 2, 13, 1, 10), Counter32()).setMaxAccess("readonly")
if mibBuilder.loadTexts: sigChanMcdnFramerLargeFrmErrors.setStatus('mandatory')
vnetMcdnSigGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 142, 1))
vnetMcdnSigGroupBE = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 142, 1, 5))
vnetMcdnSigGroupBE01 = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 142, 1, 5, 2))
vnetMcdnSigGroupBE01A = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 142, 1, 5, 2, 2))
vnetMcdnSigCapabilities = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 142, 3))
vnetMcdnSigCapabilitiesBE = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 142, 3, 5))
vnetMcdnSigCapabilitiesBE01 = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 142, 3, 5, 2))
vnetMcdnSigCapabilitiesBE01A = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 2, 4, 2, 142, 3, 5, 2, 2))
mibBuilder.exportSymbols("Nortel-Magellan-Passport-VnetMcdnSigMIB", vnetMcdnSigGroupBE=vnetMcdnSigGroupBE, sigChanMcdnFramerFrmToIf=sigChanMcdnFramerFrmToIf, sigChanMcdnMessageTraced=sigChanMcdnMessageTraced, sigChanMcdnFramerOctetFromIf=sigChanMcdnFramerOctetFromIf, vnetMcdnSigGroupBE01A=vnetMcdnSigGroupBE01A, sigChanMcdnIndex=sigChanMcdnIndex, sigChanMcdnFramerInterfaceName=sigChanMcdnFramerInterfaceName, sigChanMcdnL2Table=sigChanMcdnL2Table, sigChanMcdnChanMaintenanceHandling=sigChanMcdnChanMaintenanceHandling, vnetMcdnSigGroup=vnetMcdnSigGroup, sigChanMcdnT316=sigChanMcdnT316, vnetMcdnSigGroupBE01=vnetMcdnSigGroupBE01, sigChanMcdnStateEntry=sigChanMcdnStateEntry, sigChanMcdnL2Entry=sigChanMcdnL2Entry, vnetMcdnSigCapabilitiesBE=vnetMcdnSigCapabilitiesBE, sigChanMcdnProvTable=sigChanMcdnProvTable, sigChanMcdnFramerStatsTable=sigChanMcdnFramerStatsTable, sigChanMcdnT203=sigChanMcdnT203, sigChanMcdnFramer=sigChanMcdnFramer, sigChanMcdnFramerStatsEntry=sigChanMcdnFramerStatsEntry, sigChanMcdnStatsEntry=sigChanMcdnStatsEntry, sigChanMcdnFramerStateTable=sigChanMcdnFramerStateTable, sigChanMcdnDropBackCongestion=sigChanMcdnDropBackCongestion, sigChanMcdnL3Entry=sigChanMcdnL3Entry, sigChanMcdnT200=sigChanMcdnT200, sigChanMcdnFramerOverruns=sigChanMcdnFramerOverruns, sigChanMcdnPeakActiveDataChannels=sigChanMcdnPeakActiveDataChannels, sigChanMcdnProvEntry=sigChanMcdnProvEntry, sigChanMcdnCircuitSwitchedK=sigChanMcdnCircuitSwitchedK, sigChanMcdnSide=sigChanMcdnSide, sigChanMcdnFramerOperationalState=sigChanMcdnFramerOperationalState, sigChanMcdnMaxNonCallConcurrent=sigChanMcdnMaxNonCallConcurrent, sigChanMcdnRowStatus=sigChanMcdnRowStatus, sigChanMcdnFramerRowStatus=sigChanMcdnFramerRowStatus, sigChanMcdnAdminState=sigChanMcdnAdminState, sigChanMcdnFramerRowStatusEntry=sigChanMcdnFramerRowStatusEntry, sigChanMcdnOperEntry=sigChanMcdnOperEntry, sigChanMcdnClsFeaturesSupported=sigChanMcdnClsFeaturesSupported, sigChanMcdnFramerRowStatusTable=sigChanMcdnFramerRowStatusTable, sigChanMcdnClsTable=sigChanMcdnClsTable, sigChanMcdnTracing=sigChanMcdnTracing, sigChanMcdnFramerFrmFromIf=sigChanMcdnFramerFrmFromIf, sigChanMcdnTotalCallsFromIf=sigChanMcdnTotalCallsFromIf, sigChanMcdnDirectionTraced=sigChanMcdnDirectionTraced, sigChanMcdnOverlapReceiving=sigChanMcdnOverlapReceiving, vnetMcdnSigCapabilities=vnetMcdnSigCapabilities, sigChanMcdnOverlapSending=sigChanMcdnOverlapSending, sigChanMcdnActiveDataChannels=sigChanMcdnActiveDataChannels, vnetMcdnSigMIB=vnetMcdnSigMIB, sigChanMcdnPeakActiveVoiceChannels=sigChanMcdnPeakActiveVoiceChannels, sigChanMcdnStatsTable=sigChanMcdnStatsTable, sigChanMcdnCoEntry=sigChanMcdnCoEntry, sigChanMcdnNetworkNameDisplay=sigChanMcdnNetworkNameDisplay, sigChanMcdnTotalCallsToIf=sigChanMcdnTotalCallsToIf, sigChanMcdnActiveVoiceChannels=sigChanMcdnActiveVoiceChannels, sigChanMcdnToolsTable=sigChanMcdnToolsTable, sigChanMcdnT309=sigChanMcdnT309, sigChanMcdnT23=sigChanMcdnT23, sigChanMcdnT310=sigChanMcdnT310, sigChanMcdnToolsEntry=sigChanMcdnToolsEntry, sigChanMcdnL3Table=sigChanMcdnL3Table, sigChanMcdnFramerProvTable=sigChanMcdnFramerProvTable, sigChanMcdn=sigChanMcdn, vnetMcdnSigCapabilitiesBE01A=vnetMcdnSigCapabilitiesBE01A, sigChanMcdnActiveChannels=sigChanMcdnActiveChannels, sigChanMcdnFramerCrcErrors=sigChanMcdnFramerCrcErrors, sigChanMcdnFramerLrcErrors=sigChanMcdnFramerLrcErrors, sigChanMcdnFramerStateEntry=sigChanMcdnFramerStateEntry, sigChanMcdnFramerProvEntry=sigChanMcdnFramerProvEntry, sigChanMcdnT302=sigChanMcdnT302, sigChanMcdnUsageState=sigChanMcdnUsageState, sigChanMcdnFramerComponentName=sigChanMcdnFramerComponentName, sigChanMcdnFramerUnderruns=sigChanMcdnFramerUnderruns, sigChanMcdnOperationalState=sigChanMcdnOperationalState, sigChanMcdnFramerNonOctetErrors=sigChanMcdnFramerNonOctetErrors, sigChanMcdnOperTable=sigChanMcdnOperTable, sigChanMcdnRowStatusEntry=sigChanMcdnRowStatusEntry, sigChanMcdnConOrFeaturesSupported=sigChanMcdnConOrFeaturesSupported, sigChanMcdnFramerStorageType=sigChanMcdnFramerStorageType, sigChanMcdnCoTable=sigChanMcdnCoTable, sigChanMcdnN200=sigChanMcdnN200, sigChanMcdnClsEntry=sigChanMcdnClsEntry, sigChanMcdnMultisiteBusinessGroup=sigChanMcdnMultisiteBusinessGroup, sigChanMcdnComponentName=sigChanMcdnComponentName, vnetMcdnSigCapabilitiesBE01=vnetMcdnSigCapabilitiesBE01, sigChanMcdnT317=sigChanMcdnT317, sigChanMcdnPeakActiveChannels=sigChanMcdnPeakActiveChannels, sigChanMcdnStateTable=sigChanMcdnStateTable, sigChanMcdnNonCallAssocSessionsToIf=sigChanMcdnNonCallAssocSessionsToIf, sigChanMcdnFramerAdminState=sigChanMcdnFramerAdminState, sigChanMcdnRowStatusTable=sigChanMcdnRowStatusTable, sigChanMcdnT304=sigChanMcdnT304, sigChanMcdnStorageType=sigChanMcdnStorageType, sigChanMcdnFramerAborts=sigChanMcdnFramerAborts, sigChanMcdnNonCallAssocSessionsFromIf=sigChanMcdnNonCallAssocSessionsFromIf, sigChanMcdnFramerIndex=sigChanMcdnFramerIndex, sigChanMcdnDChanStatus=sigChanMcdnDChanStatus, sigChanMcdnFramerLargeFrmErrors=sigChanMcdnFramerLargeFrmErrors, sigChanMcdnFramerUsageState=sigChanMcdnFramerUsageState)
| 151.140777 | 5,046 | 0.775237 | 3,345 | 31,135 | 7.215845 | 0.078326 | 0.015661 | 0.012305 | 0.016406 | 0.484816 | 0.429672 | 0.396818 | 0.374363 | 0.354725 | 0.342918 | 0 | 0.089009 | 0.078047 | 31,135 | 205 | 5,047 | 151.878049 | 0.751855 | 0.011948 | 0 | 0 | 0 | 0 | 0.139136 | 0.054074 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.09596 | 0.050505 | 0 | 0.050505 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
e33f7bb155cb9df4eef3cfe88095950bdff15639 | 1,831 | py | Python | python/binarybrain/system.py | ryuz/BinaryBrain | 362fbd7ff6539e081af89e9fced05f3a85089914 | [
"MIT"
] | 71 | 2018-09-02T10:01:07.000Z | 2022-02-24T12:05:55.000Z | python/binarybrain/system.py | ryuz/lut_classifier | c12fc5267013246b7389fc97f8e759a7f10e35c2 | [
"MIT"
] | 2 | 2019-04-11T11:58:00.000Z | 2022-02-19T23:34:57.000Z | python/binarybrain/system.py | ryuz/lut_classifier | c12fc5267013246b7389fc97f8e759a7f10e35c2 | [
"MIT"
] | 8 | 2019-02-02T05:21:00.000Z | 2021-04-06T08:19:50.000Z | # -*- coding: utf-8 -*-
import binarybrain as bb
import binarybrain.core as core
def get_version_string():
"""バージョン文字列取得
Returns:
version (str) : バージョン文字列
"""
return core.get_version_string()
def omp_set_num_threads(threads: int):
"""omp_set_num_threads
omp_set_num_threadsを呼び出す
バックグランドで学習する場合など、Host側のCPUをすべて使うと
逆に性能が落ちる場合や、運用上不便なケースなどで個数制限できる
Args:
threads (int) : OpenMPでのスレッド数
"""
core.omp_set_num_threads(threads)
def is_device_available():
"""デバイス(GPU)が有効かの確認
Returns:
device_available (bool) : デバイス(GPU)が利用可能なら True を返す
"""
return core.Manager.is_device_available()
def set_host_only(host_only: bool):
"""ホスト(CPU)のみの指定
True を設定するとデバイス(GPU)を未使用としてホスト(CPU)のみを利用
Args:
host_only (bool) : ホストのみの場合 True を指定
"""
core.Manager.set_host_only(host_only)
def get_device_count():
"""利用可能なデバイス(GPU)の個数を確認
Returns:
device_count (int) : 利用可能なデバイス(GPU)の個数を返す
"""
return core.get_device_count()
def set_device(device_id):
"""利用するデバイス(GPU)を切り替え
Args:
device_id (int) : 利用するデバイス番号を指定
"""
core.set_device(device_id)
def get_device_properties_string(device_id):
"""現在のデバイス(GPU)の情報を入れた文字列を取得
Args:
device_id (int) : 情報を取得するデバイス番号を指定
Returns:
device_properties_string (str) : 現在のデバイス(GPU)の情報を入れた文字列を返す
"""
return core.get_device_properties_string(device_id)
def get_device_properties(device_id):
return core.get_device_properties(device_id)
def get_device_name(device_id):
return core.get_device_name(device_id)
def get_device_allocated_memory_size():
return core.get_device_allocated_memory_size()
def garbage_collect_device_memory():
return core.garbage_collect_device_memory()
| 20.806818 | 66 | 0.69361 | 225 | 1,831 | 5.311111 | 0.306667 | 0.075314 | 0.065272 | 0.079498 | 0.294561 | 0.128033 | 0 | 0 | 0 | 0 | 0 | 0.000692 | 0.210268 | 1,831 | 87 | 67 | 21.045977 | 0.825726 | 0.38722 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.458333 | false | 0 | 0.083333 | 0.166667 | 0.875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
e3749cc0bc2dceb32c68d640c48aa2fe378b29bb | 205 | py | Python | example/models.py | ojayyezzir/django-admin-shuffle | 614553a83bbbbe391bbca29be349ad3575fc54b8 | [
"MIT"
] | 4 | 2020-07-19T10:23:58.000Z | 2020-07-20T01:21:36.000Z | tests/models.py | ojayyezzir/django-admin-shuffle | 614553a83bbbbe391bbca29be349ad3575fc54b8 | [
"MIT"
] | 11 | 2020-08-17T09:17:35.000Z | 2020-10-07T01:08:52.000Z | tests/models.py | ojayyezzir/django-admin-shuffle | 614553a83bbbbe391bbca29be349ad3575fc54b8 | [
"MIT"
] | null | null | null | from django.db import models
class Article(models.Model):
title = models.CharField(max_length=128)
content = models.TextField(blank=True)
created_at = models.DateTimeField(auto_now_add=True)
| 25.625 | 56 | 0.760976 | 28 | 205 | 5.428571 | 0.821429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017045 | 0.141463 | 205 | 7 | 57 | 29.285714 | 0.846591 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
8b70a734901cce7dee5fef3bc69926dd85f8c9e6 | 707 | py | Python | locustfile2.py | valerybriz/api_tests | ba66df69fbd422d0c4c9e292350302ea442d2336 | [
"MIT"
] | null | null | null | locustfile2.py | valerybriz/api_tests | ba66df69fbd422d0c4c9e292350302ea442d2336 | [
"MIT"
] | null | null | null | locustfile2.py | valerybriz/api_tests | ba66df69fbd422d0c4c9e292350302ea442d2336 | [
"MIT"
] | null | null | null | '''Read https://docs.locust.io/en/stable/quickstart.html
for examples on how to run the tests'''
from locust import HttpLocust, TaskSet, task
import config as conf
class UserBehavior(TaskSet):
def on_start(self):
""" on_start is called when a Locust start before any task is scheduled """
self.login()
def login(self):
self.client.post("/auth/login", json={"username":conf.test_username, "password":conf.test_password})
@task(2)
def index(self):
self.client.get("/git/index")
@task(1)
def register(self):
self.client.get("/git/register")
class WebsiteUser(HttpLocust):
task_set = UserBehavior
min_wait = 5000
max_wait = 9000
| 26.185185 | 108 | 0.66761 | 98 | 707 | 4.744898 | 0.591837 | 0.051613 | 0.090323 | 0.073118 | 0.086022 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017794 | 0.205092 | 707 | 26 | 109 | 27.192308 | 0.809609 | 0.224894 | 0 | 0 | 0 | 0 | 0.093458 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.235294 | false | 0.058824 | 0.117647 | 0 | 0.647059 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
8b9b1fb4e2b56624bddb8ae803975d54aba7ea54 | 361 | py | Python | shadow4/syned/absorbers/absorber.py | srio/minishadow | 019bf46106f09f89297e01c273784e8059e02014 | [
"MIT"
] | 1 | 2019-10-30T10:04:43.000Z | 2019-10-30T10:04:43.000Z | shadow4/syned/absorbers/absorber.py | srio/minishadow | 019bf46106f09f89297e01c273784e8059e02014 | [
"MIT"
] | 9 | 2020-09-02T16:13:01.000Z | 2020-09-30T15:09:44.000Z | shadow4/syned/absorbers/absorber.py | srio/shadow4 | 019bf46106f09f89297e01c273784e8059e02014 | [
"MIT"
] | null | null | null |
from syned.beamline.optical_element import OpticalElement
from syned.beamline.shape import BoundaryShape
class Absorber(OpticalElement):
def __init__(self, name="Undefined", boundary_shape=None):
if boundary_shape is None:
boundary_shape = BoundaryShape()
OpticalElement.__init__(self, name=name, boundary_shape=boundary_shape) | 40.111111 | 79 | 0.767313 | 41 | 361 | 6.414634 | 0.487805 | 0.247148 | 0.129278 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.157895 | 361 | 9 | 79 | 40.111111 | 0.865132 | 0 | 0 | 0 | 0 | 0 | 0.024931 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.285714 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
8bb5f48cfb16eb8c46ca3caf935f2207cba1d1ed | 343 | py | Python | lt_toolbox/__init__.py | oj-tooth/lt_toolbox | e6521fc0c243d1ff84599c418ae43271c6bd746c | [
"MIT"
] | 5 | 2021-02-03T09:42:47.000Z | 2021-02-05T02:15:35.000Z | lt_toolbox/__init__.py | oj-tooth/lt_toolbox | e6521fc0c243d1ff84599c418ae43271c6bd746c | [
"MIT"
] | 2 | 2020-12-15T12:20:30.000Z | 2020-12-22T14:14:32.000Z | lt_toolbox/__init__.py | oj-tooth/lt_toolbox | e6521fc0c243d1ff84599c418ae43271c6bd746c | [
"MIT"
] | null | null | null | ##############################################################################
# __init__.py
#
# Description:
# __init__ file in order for lt_toolbox directory to be treated
# as a package of modules.
#
# Last Edited:
# 2021-01-07
#
# Created By:
# Ollie Tooth
#
###############################################################################
| 22.866667 | 79 | 0.376093 | 28 | 343 | 4.285714 | 0.964286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02623 | 0.110787 | 343 | 14 | 80 | 24.5 | 0.367213 | 0.463557 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
8bc5e62495f2f15d7b3782000262cb4da5459d45 | 740 | py | Python | maintain_frontend/main.py | LandRegistry/maintain-frontend | d92446a9972ebbcd9a43a7a7444a528aa2f30bf7 | [
"MIT"
] | 1 | 2019-10-03T13:58:29.000Z | 2019-10-03T13:58:29.000Z | maintain_frontend/main.py | LandRegistry/maintain-frontend | d92446a9972ebbcd9a43a7a7444a528aa2f30bf7 | [
"MIT"
] | null | null | null | maintain_frontend/main.py | LandRegistry/maintain-frontend | d92446a9972ebbcd9a43a7a7444a528aa2f30bf7 | [
"MIT"
] | 1 | 2021-04-11T05:24:57.000Z | 2021-04-11T05:24:57.000Z | # This file is the entry point.
# First we import the app object, which will get initialised as we do it. Then import methods we're about to use.
from maintain_frontend.app import app
from maintain_frontend.extensions import register_extensions
from maintain_frontend.blueprints import register_blueprints
from maintain_frontend.exceptions import register_exception_handlers
from maintain_frontend.filters import register_filters
# Now we register any extensions we use into the app
register_extensions(app)
# Register the exception handlers
register_exception_handlers(app)
# Register filters for use in Jinja templates
register_filters(app)
# Finally we register our blueprints to get our routes up and running.
register_blueprints(app)
| 43.529412 | 113 | 0.843243 | 109 | 740 | 5.587156 | 0.431193 | 0.098522 | 0.164204 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.122973 | 740 | 16 | 114 | 46.25 | 0.938367 | 0.455405 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.555556 | 0 | 0.555556 | 0.222222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
8bc78795fb7090fc535264fdc0bf7ed94d893e28 | 125 | py | Python | quizzer/__init__.py | mrillusi0n/quiz | 05d2ef4d0f3dd852f3caa74bcd9be7c12f6858e9 | [
"MIT"
] | null | null | null | quizzer/__init__.py | mrillusi0n/quiz | 05d2ef4d0f3dd852f3caa74bcd9be7c12f6858e9 | [
"MIT"
] | null | null | null | quizzer/__init__.py | mrillusi0n/quiz | 05d2ef4d0f3dd852f3caa74bcd9be7c12f6858e9 | [
"MIT"
] | null | null | null | from flask import Flask
app = Flask(__name__)
app.config['SECRET_KEY'] = '802394YHFRIUAOERY5T0287345'
from . import routes | 17.857143 | 55 | 0.776 | 15 | 125 | 6.133333 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12844 | 0.128 | 125 | 7 | 56 | 17.857143 | 0.715596 | 0 | 0 | 0 | 0 | 0 | 0.285714 | 0.206349 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
4737a933bca048506fd27ca1212419f74c4ee43b | 1,205 | py | Python | python-threatexchange/threatexchange/signal_type/url.py | Samyakk123/ThreatExchange | 447b5e9738aff5d1cc895f6208a0d3bc15a14ebc | [
"BSD-3-Clause"
] | 1 | 2022-02-08T01:32:58.000Z | 2022-02-08T01:32:58.000Z | python-threatexchange/threatexchange/signal_type/url.py | Samyakk123/ThreatExchange | 447b5e9738aff5d1cc895f6208a0d3bc15a14ebc | [
"BSD-3-Clause"
] | null | null | null | python-threatexchange/threatexchange/signal_type/url.py | Samyakk123/ThreatExchange | 447b5e9738aff5d1cc895f6208a0d3bc15a14ebc | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
"""
Wrapper around the URL signal type.
"""
import typing as t
from threatexchange.content_type.content_base import ContentType
from threatexchange.content_type.url import URLContent
from threatexchange.signal_type import signal_base
from threatexchange.fetcher.apis.fb_threatexchange_signal import (
HasFbThreatExchangeIndicatorType,
)
class URLSignal(
signal_base.SimpleSignalType,
signal_base.MatchesStr,
HasFbThreatExchangeIndicatorType,
):
"""
Wrapper around URL links, such as https://github.com/
"""
INDICATOR_TYPE = ("URI", "RAW_URI")
@classmethod
def get_content_types(self) -> t.List[t.Type[ContentType]]:
return [URLContent]
@classmethod
def matches_str(
cls, signal: str, haystack: str, distance_threshold: t.Optional[int] = None
) -> signal_base.HashComparisonResult:
# TODO - normalization
return signal_base.HashComparisonResult.from_bool(signal == haystack)
@staticmethod
def get_examples() -> t.List[str]:
return ["https://developers.facebook.com/docs/threat-exchange/reference/apis/"]
| 28.023256 | 87 | 0.727801 | 136 | 1,205 | 6.308824 | 0.536765 | 0.058275 | 0.037296 | 0.067599 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.172614 | 1,205 | 42 | 88 | 28.690476 | 0.860582 | 0.165975 | 0 | 0.166667 | 0 | 0 | 0.079592 | 0 | 0 | 0 | 0 | 0.02381 | 0 | 1 | 0.125 | false | 0 | 0.208333 | 0.125 | 0.541667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
4739be4bdf135e45ae184e8be3c16a37e041c3d7 | 272 | py | Python | output/models/nist_data/atomic/hex_binary/schema_instance/nistschema_sv_iv_atomic_hex_binary_min_length_1_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/nist_data/atomic/hex_binary/schema_instance/nistschema_sv_iv_atomic_hex_binary_min_length_1_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/nist_data/atomic/hex_binary/schema_instance/nistschema_sv_iv_atomic_hex_binary_min_length_1_xsd/__init__.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from output.models.nist_data.atomic.hex_binary.schema_instance.nistschema_sv_iv_atomic_hex_binary_min_length_1_xsd.nistschema_sv_iv_atomic_hex_binary_min_length_1 import NistschemaSvIvAtomicHexBinaryMinLength1
__all__ = [
"NistschemaSvIvAtomicHexBinaryMinLength1",
]
| 45.333333 | 209 | 0.900735 | 33 | 272 | 6.69697 | 0.606061 | 0.122172 | 0.20362 | 0.180995 | 0.352941 | 0.352941 | 0.352941 | 0.352941 | 0.352941 | 0 | 0 | 0.015504 | 0.051471 | 272 | 5 | 210 | 54.4 | 0.841085 | 0 | 0 | 0 | 0 | 0 | 0.143382 | 0.143382 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
473bd01167550c46ea29f7e4dbe04a9fc91de444 | 399 | py | Python | watchdog_kj_kultura/main/context_processors.py | watchdogpolska/watchdog-kj-kultura | ea1a5c52ef2a174c012cc08eff5fdd7aa3b911b0 | [
"MIT"
] | null | null | null | watchdog_kj_kultura/main/context_processors.py | watchdogpolska/watchdog-kj-kultura | ea1a5c52ef2a174c012cc08eff5fdd7aa3b911b0 | [
"MIT"
] | 138 | 2016-12-10T19:18:18.000Z | 2019-06-10T19:32:40.000Z | watchdog_kj_kultura/main/context_processors.py | watchdogpolska/watchdog-kj-kultura | ea1a5c52ef2a174c012cc08eff5fdd7aa3b911b0 | [
"MIT"
] | null | null | null | from django.contrib.sites.shortcuts import get_current_site
from .models import Settings
def settings(request):
"""A context processor which provide current site ``Settings`` in ``settings`` template variable
Parameters
----------
request : HttpRequest
A django standard request object
"""
return {'settings': Settings.objects.get(site=get_current_site(request))}
| 28.5 | 100 | 0.711779 | 46 | 399 | 6.086957 | 0.586957 | 0.117857 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.177945 | 399 | 13 | 101 | 30.692308 | 0.853659 | 0.438596 | 0 | 0 | 0 | 0 | 0.040609 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.5 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
473d1ccc5f01ce26666b5ade449e37fa19d62fe5 | 391 | py | Python | moneta/exceptions.py | geneanet/moneta | 609a28eb72c3d4dcb768a965a591946cab064ea4 | [
"BSD-3-Clause"
] | 6 | 2015-04-28T17:26:11.000Z | 2019-09-18T19:03:56.000Z | moneta/exceptions.py | geneanet/moneta | 609a28eb72c3d4dcb768a965a591946cab064ea4 | [
"BSD-3-Clause"
] | null | null | null | moneta/exceptions.py | geneanet/moneta | 609a28eb72c3d4dcb768a965a591946cab064ea4 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
class ExecutionDisabled(Exception):
""" Exception thrown if the manager cannot execute task because execution is disabled """
pass
class NotFound(Exception):
""" Exception thrown if a requested object is not found in a collection """
pass
class ProcessNotFound(NotFound):
""" Exception thrown when a requested process is not found """
pass
| 27.928571 | 93 | 0.703325 | 48 | 391 | 5.729167 | 0.604167 | 0.163636 | 0.174545 | 0.189091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003215 | 0.204604 | 391 | 13 | 94 | 30.076923 | 0.881029 | 0.588235 | 0 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.5 | 0 | 0 | 0.5 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
4749a1dfd5f9c36050cf1479001469842933b622 | 5,751 | py | Python | OldCode/FM/Demo-selenium.py | lovemybabyxuan/PythonLearning | 38eedeec72bb80c8497ab70970c429945ccdeb31 | [
"MulanPSL-1.0"
] | null | null | null | OldCode/FM/Demo-selenium.py | lovemybabyxuan/PythonLearning | 38eedeec72bb80c8497ab70970c429945ccdeb31 | [
"MulanPSL-1.0"
] | null | null | null | OldCode/FM/Demo-selenium.py | lovemybabyxuan/PythonLearning | 38eedeec72bb80c8497ab70970c429945ccdeb31 | [
"MulanPSL-1.0"
] | null | null | null | #chromedriver各版本下载地址:http://chromedriver.storage.googleapis.com/index.html
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
from selenium.webdriver.support.select import Select
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver import ActionChains
import random
import time
'''------------------------------------------------设置header----------------------------------------'''
# 获取请求头对象，该对象用于设置用户向浏览器发送请求的请求头，比如ip代理设置浏览器代理设置及浏览器后台运行等等
chrome_options = Options()
#此处设置了浏览器代理为H5的，这样打开的页面就跟用手机访问的是一样的
# chrome_options.add_argument("user-agent=Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/79.0.3945.117 Safari/537.36")
# chrome_options.add_argument('--user-data-dir=C:/Users/28546/AppData/Local/Google/Chrome/User Data')#使用用户浏览器数据启动
# chrome_options.add_experimental_option('excludeSwitches', ['enable-automation']) #去掉正受自动化测试软件控制的提示语
chrome_options.add_experimental_option('excludeSwitches', ['enable-automation'])
chrome_options.add_argument("referer=https://www.zhipin.com/shanghai/")
# 此处代码设置浏览器为后端运行，不会呈现出来
# chrome_options.add_argument("--headless")
#使用代理ip来发请求
# chrome_options.add_argument("--proxy-server=http://127.0.0.1:8080")
'''--------------------------------------------------浏览器操作----------------------------------'''
#获取浏览器对象，这个就好比人双击chrome浏览器，其中1、executable_path：为chromedriver的路径 2、options:为请求头对象
browser = webdriver.Chrome(executable_path="C:\chromedriver.exe",options=chrome_options)
# browser.execute_script('Object.defineProperties(navigator, {webdriver:{get:()=>undefined}});')
#打开浏览器
# url = "https://login.taobao.com/member/login.jhtml?spm=a21bo.2017.754894437.1.5af911d9W5Eadh&f=top&redirectURL=https%3A%2F%2Fwww.taobao.com%2F"
# browser.get(url=url)
browser.get("https://passport.alibaba.com/member/reg/enter_fill_email.htm?_regfrom=TB_ENTERPRISE&_lang=")
#浏览器最大/小化
browser.maximize_window()
# browser.minimize_window()
#获取网页源代码
# text = browser.page_source
#打开一个新的页面
# newwindow = 'window.open("https://www.baidu.com")'
# browser.execute_script(newwindow) #通过执行js脚本来打开一个新的页面
# print(browser.window_handles) #遍历打开的所有窗口句柄
# print(browser.current_window_handle) #查看当前页面句柄
# browser.switch_to.window(browser.window_handles[0]) #切换页面
# browser.close() #关闭当前页面
'''------------------------------cookie操作-----------------------'''
# browser.add_cookie({"name":"test","value":"111111"}) #设置cookie
# browser.delete_all_cookies()
# browser.add_cookie({"name":"lastCity","value":"101020100"})
# browser.add_cookie({"name":"__c","value":"1578881583"})
# browser.add_cookie({"name":"__g","value":"-"})
# browser.add_cookie({"name":"Hm_lvt_194df3105ad7148dcf2b98a91b5e727a","value":"1578881583"})
# browser.add_cookie({"name":"__l","value":"l=%2Fwww.zhipin.com%2Fshanghai%2F&r=https%3A%2F%2Fwww.baidu.com%2Flink%3Furl%3DIBYCElg2InhaLCPnxncuQ2zc93xIiq_0D0QMsdwDqEShPmm-r66Zh_Ir0idbvQqK%26wd%3D%26eqid%3Ded7391010018a58e000000055e1bd22a&friend_source=0&friend_source=0"})
# browser.add_cookie({"name":"JSESSIONID","value":'""'})
# browser.add_cookie({"name":"_uab_collina","value":"157888421120766492060183"})
# browser.add_cookie({"name":"__zp_stoken__","value":"357fKm%2FOlK%2BCYcOmu8JSarqolf2816dErbTZvArsZYQeXw9vI%2BDV%2FFAwg8ClcW5AwXDkFRVWSPkPckalpflNMachjua4ibtVyXK8oeMcUKaxyE0amYJAyqupK%2Fv3CmH914vZ"})
# browser.add_cookie({"name":"toUrl","value":"/"})
# browser.add_cookie({"name":"__a","value":"1117176.1578881583..1578881583.68.1.68.68"})
# browser.add_cookie({"name":"Hm_lpvt_194df3105ad7148dcf2b98a91b5e727a","value":"1578972610"})
print(browser.get_cookies())
# cookies = browser.get_cookies() #遍历cookie
# browser.delete_cookie("test") #删除cookie
# browser.delete_all_cookies() # 删除所有cookie
'''------------------------------input框操作-----------------------'''
# label_element = browser.find_element_by_id("kw") #通过id查找元素
# label_element = browser.find_element_by_class_name("s_ipt") #通过类目查找元素
# label_element = browser.find_element_by_tag_name("") #通常标签名称查找元素
# label_element = browser.find_element_by_name("wd").in #通过name查找名称元素
# label_element = browser.find_element_by_xpath("//input[@id='kw']") #通过xpath来查找元素
# button_element = browser.find_element_by_id("su")
# button_element.click() #按钮点击动作
'''------------------------------select框--------------------------'''
# select_element = Select(browser.find_element_by_id("searchHotelLevelSelect"))
# for option in select_element.options:
# print(option.text) #打印文本
# print(option.get_attribute("value")) #打印属性
# select_element.select_by_index(2) #通过文本选择
# select_element.select_by_value("3") #通过value选择
# select_element.select_by_visible_text("二星级以下/经济") #通过文本选择
'''-------------------------------元素等待（隐私等待和显示等待）----------'''
# 1、隐式等待
# slip_element = browser.implicitly_wait(3)
# browser.find_element_by_class_name("nc-lang-cnt")
#2、显示等待
# try:
# slip_element = WebDriverWait(browser,10).until(
# EC.presence_of_element_located((By.CLASS_NAME,"nc-lang-cnt1")) #这里还有其他各种定位方式，查看提供的方法说明即可
# )
# except:
# print("--------")
'''--------------------------------------元素拖拽（行为链）--------------------------'''
#https://signup.zhipin.com/?ka=header-register boss直聘的网站案例
# while True:
# action_chains = ActionChains(browser) # 创建一个行为链
# spans = browser.find_elements_by_xpath("//span[@class='nc_iconfont btn_slide']")
# try:
# for span in spans:
# if span.size.get("height") > 0:
# action_chains.drag_and_drop_by_offset(span,258,0).perform()
# break
# except:
# print('---')
#
# browser.refresh()
# time.sleep(3)
browser.quit() | 46.756098 | 272 | 0.700052 | 651 | 5,751 | 5.963134 | 0.447005 | 0.030912 | 0.049459 | 0.061824 | 0.16203 | 0.11051 | 0.033488 | 0.033488 | 0 | 0 | 0 | 0.057164 | 0.075291 | 5,751 | 123 | 273 | 46.756098 | 0.672809 | 0.727178 | 0 | 0 | 0 | 0.058824 | 0.195676 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.058824 | 0.529412 | 0 | 0.529412 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 3 |
479096d35b952436ea91aeb44925ae2cfaba8f84 | 112,036 | py | Python | mapsci/multipole_mie_combining_rules.py | jaclark5/mapsci | 993bead13615f351ca3a1605967a14d06585a1d0 | [
"BSD-3-Clause"
] | null | null | null | mapsci/multipole_mie_combining_rules.py | jaclark5/mapsci | 993bead13615f351ca3a1605967a14d06585a1d0 | [
"BSD-3-Clause"
] | 2 | 2020-09-02T17:04:29.000Z | 2021-09-17T18:21:02.000Z | mapsci/multipole_mie_combining_rules.py | jaclark5/mapsci | 993bead13615f351ca3a1605967a14d06585a1d0 | [
"BSD-3-Clause"
] | null | null | null | """
MAPSCI: Multipole Approach of Predicting and Scaling Cross Interactions
Handles the primary functions
"""
import numpy as np
import scipy.optimize as spo
import logging
logger = logging.getLogger(__name__)
def calc_distance_array(bead_dict, tol=0.01, max_factor=2, lower_bound="rmin"):
r"""
Calculation of array for nondimensionalized distance array.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
bead_dict : dict
Dictionary of multipole parameters.
- sigma (float) Nondimensionalized size parameter, :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
tol : float, Optional, default=0.01
Ratio of absolute value of repulsive term over attractive term of the Mie potential to define minimum bound
max_factor : int, Optional, default=2
Factor to multiply minimum bound by to define maximum bound.
lower_bound : str, Optional, default='rmin'
Lower bound of distance array. Can be one of:
- rmin: the position of the potential well
- sigma: the size parameter
- tolerance: Uses 'tol' keyword to define the ratio between the attractive and repulsive terms of the Mie potential, note that if tol = 0.01 the lower bound will be ~2.5*sigma.
Returns
-------
r : numpy.ndarray
Array (or float) in [Å] or nondimensionalized, distance between two beads. :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
"""
if lower_bound == "rmin":
rm = mie_potential_minimum(bead_dict)
elif lower_bound == "sigma":
rm = bead_dict["sigma"]
elif lower_bound == "tolerance":
rm = bead_dict["sigma"] * (1 / tol)**(1 / (bead_dict["lambdar"] - bead_dict["lambdaa"]))
else:
raise ValueError("Method, {}, is not supported to calculating lower_bound of fitting/integration".format(lower_bound))
r_array = np.linspace(rm, max_factor * rm, num=10000)
return r_array
def mie_potential_minimum(bead_dict):
r"""
Calculate Mie potential minimum of potential well.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
bead_dict : dict
Dictionary of multipole parameters.
- sigma (float) Size parameter in [Å] or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
Returns
-------
rmin : float
Position of minimum of potential well
"""
return bead_dict["sigma"] * (bead_dict["lambdar"] / bead_dict["lambdaa"])**(1 / (bead_dict["lambdar"] - bead_dict["lambdaa"]))
def mie_combining_rules(bead1, bead2):
r"""
Calculate basic mixed parameters, where the energy parameter is calculated with the geometric mean
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
beadA : dict
Dictionary of multipole parameters for bead_A.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
beadB : dict
Dictionary of multipole parameters for bead_B.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
Returns
-------
beadAB : dict
Dictionary of multipole parameters for bead_B.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
"""
beadAB = {}
beadAB["sigma"] = (bead1["sigma"] + bead2["sigma"]) / 2
beadAB["lambdar"] = 3 + np.sqrt((bead1["lambdar"] - 3) * (bead2["lambdar"] - 3))
beadAB["lambdaa"] = 3 + np.sqrt((bead1["lambdaa"] - 3) * (bead2["lambdaa"] - 3))
beadAB["epsilon"] = np.sqrt(bead1["epsilon"] * bead2["epsilon"])
return beadAB
def calc_mie_attractive_potential(r, bead_dict, shape_factor_scale=False):
r"""
Calculation of attractive Mie potential.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
r : numpy.ndarray
Array (or float) in either [Å] or nondimensionalized distance between two beads. :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`, whatever is consistent with 'bead_dict'
bead_dict : dict
Dictionary of multipole parameters for bead_A.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
shape_factor_scale : bool, Optional, default=False
Scale energy parameter based on shape factor epsilon*Si*Sj
Returns
-------
potential : numpy.ndarray
Array of nondimensionalized potential between beads from Mie potential. Array is equal in length to "r". :math:`\phi'=\phi/(3k_{B}T)`
"""
if shape_factor_scale:
if "Sk" in bead_dict:
bead_dict["epsilon"] = bead_dict["epsilon"] * bead_dict["Sk"]**2
else:
raise ValueError("Shape factor was not provided in bead dictionary")
potential = -prefactor(bead_dict["lambdar"], bead_dict["lambdaa"]) * bead_dict["epsilon"] * (bead_dict["sigma"] /
r)**bead_dict["lambdaa"]
return potential
def calc_mie_repulsive_potential(r, bead_dict, shape_factor_scale=False):
r"""
Calculation of repulsive Mie potential.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
r : numpy.ndarray
Array (or float) in either [Å] or nondimensionalized distance between two beads. :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`, whatever is consistent with 'bead_dict'
bead_dict : dict
Dictionary of multipole parameters for bead_A.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
shape_factor_scale : bool, Optional, default=False
Scale energy parameter based on shape factor epsilon*Si*Sj
Returns
-------
potential : numpy.ndarray
Array of nondimensionalized potential between beads from Mie potential. Array is equal in length to "r". :math:`\phi'=\phi/(3k_{B}T)`
"""
if shape_factor_scale:
if "Sk" in bead_dict:
bead_dict["epsilon"] = bead_dict["epsilon"] * bead_dict["Sk"]**2
else:
raise ValueError("Shape factor was not provided in bead dictionary")
potential = prefactor(bead_dict["lambdar"], bead_dict["lambdaa"]) * bead_dict["epsilon"] * (bead_dict["sigma"] /
r)**bead_dict["lambdar"]
return potential
def prefactor(lamr, lama):
""" Calculation prefactor for Mie potential: :math:`C_{Mie}=\lambda_r/(\lambda_r-\lambda_a) (\lambda_r/\lambda_a)^{\lambda_a/(\lambda_r-\lambda_a)}`
"""
return lamr / (lamr - lama) * (lamr / lama)**(lama / (lamr - lama))
def calc_lambdaij_from_epsilonij(epsij, bead1, bead2):
r"""
Calculates cross-interaction exponents from cross interaction energy parameter
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
epsilonij : float
Fit energy parameter in [K] or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
beadA : dict
Dictionary of multipole parameters for bead_A.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
beadB : dict
Dictionary of multipole parameters for bead_B.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
Returns
-------
lambdar_new : float
Repulsive exponent
lambdaa_new : float
Attractive exponent
"""
sigmaij = np.mean([bead1["sigma"], bead2["sigma"]])
tmp = epsij * sigmaij**3 / np.sqrt(bead1["sigma"]**3 * bead2["sigma"]**3) / np.sqrt(
bead1["epsilon"] * bead2["epsilon"])
lamr_ij = 3 + tmp * np.sqrt((bead1["lambdar"] - 3) * (bead2["lambdar"] - 3))
lama_ij = 3 + tmp * np.sqrt((bead1["lambdaa"] - 3) * (bead2["lambdaa"] - 3))
return lamr_ij, lama_ij
def calc_epsilonij_from_lambda_aij(lambda_a, bead1, bead2):
r"""
Calculate cross-interaction energy parameter from self-interaction parameters and cross-interaction attractive exponent using from scaling with vdW attraction parameter
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
lambda_aij : float
Mixed attractive exponent from multipole combining rules
beadA : dict
Dictionary of multipole parameters for bead_A.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
beadB : dict
Dictionary of multipole parameters for bead_B.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
Returns
-------
epsilon_ij : float
Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
"""
tmp_sigma = np.sqrt(bead1["sigma"]**3 * bead2["sigma"]**3) / np.mean([bead1["sigma"], bead2["sigma"]])**3
tmp_lambda = (lambda_a - 3) / np.sqrt((bead1["lambdaa"] - 3) * (bead2["lambdaa"] - 3))
epsilon_ij = np.sqrt(bead1["epsilon"] * bead2["epsilon"]) * tmp_sigma * tmp_lambda
return epsilon_ij
def calc_lambdarij_from_lambda_aij(lambda_a, alpha_mie):
r"""
Calculate cross-interaction repulsive exponent from cross interaction attractive exponent and Mie 'vdW like' interaction parameter.
Parameters
----------
lambda_aij : float
Mixed attractive exponent from multipole combining rules
alpha_mie : float
This nondimensionalized attractive parameter for the Mie potential is related not only to the Mie exponents but also to the triple and critical temperatures of a substance.
Returns
-------
lambdar_new : float
Repulsive exponent
"""
lambda_r = spo.brentq(lambda x: alpha_mie - prefactor(x, lambda_a) * (1 / (lambda_a - 3) - 1 / (x - 3)),
lambda_a * 1.01,
1e+4,
xtol=1e-12)
return lambda_r
def calc_self_multipole_potential(r, polarizability, bead_dict, temperature=None, nondimensional=False):
r"""
Calculation of self-interaction potential using extended multipole expression, either with or without dimensions
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
r : numpy.ndarray
Array (or float) of nondimensionalized distance between two beads. :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
polarizability : float
Polarizability of bead in [:math:`Å^3`] or nondimensionalized with :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
bead_dict : dict
Dictionary of multipole parameters. Those parameters may be:
- charge (float) Charge of bead in [e], or nondimensionalized as :math:`q'=q/e`
- dipole (float) Dipole of bead in [Debye], or nondimensionalized as :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Quadrupole of bead in [Debye*Å], or nondimensionalized as :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Ionization_energy of bead in [kcal/mol], or nondimensionalized as :math:`I'=I/(3k_{B}T)`
- polarizability (float) Nondimensionalize polarizability of bead in [:math:`Å^3`]. :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
temperature : float, Optional, default=None
Temperature in [K] for adding and removing dimensions, if the parameters are nondimensionalized, this value isn't used.
nondimensional : bool, Optional, default=False
Indicates whether the given bead library has been nondimensionalized by :func:`~mapsci.multipole_mie_combining_rules.dict_dimensions`
Returns
-------
potential : numpy.ndarray
Multipole potential between beads based on multipole moments that is in [kcal/mol], or nondimensionalized as :math:`\phi'=\phi/(3k_{B}T)` Array is equal in length to "r".
"""
bead_dict["polarizability"] = polarizability
if not nondimensional:
if temperature == None:
logger.error("Temperature should be included when 'nondimensional' is False")
bead_dict_new = dict_dimensions(bead_dict.copy(), temperature, dimensions=False)
r = float_dimensions(r,"sigma",temperature,dimensions=False)
else:
bead_dict_new = bead_dict.copy()
t11 = -bead_dict_new["charge"]**2 * bead_dict_new["dipole"]**2
t12 = -bead_dict_new["charge"]**2
t21 = -3 * bead_dict_new["ionization_energy"] / 4
t22 = -2 * bead_dict_new["dipole"]**2
t23 = -bead_dict_new["dipole"]**4 - 3 * bead_dict_new["quadrupole"]**2 * bead_dict_new["charge"]**2 / 5
t31 = -3 * bead_dict_new["dipole"]**2 * bead_dict_new["quadrupole"]**2
t32 = -3 * bead_dict_new["quadrupole"]**2
t41 = -21 / 5 * bead_dict_new["quadrupole"]**4
potential = (t11 + bead_dict_new["polarizability"]*t12)/r**4 \
+ (t21*bead_dict_new["polarizability"]**2 + t22*bead_dict_new["polarizability"] + t23)/r**6 \
+ (t31 + bead_dict_new["polarizability"]*t32)/r**8 \
+ t41/r**10
if not nondimensional:
potential = float_dimensions(potential,"ionization_energy",temperature,dimensions=True)
return potential
def calc_polarizability(bead_library, temperature=None, distance_opts={}, calculation_method="fit", polarizability_opts={}, nondimensional=False, shape_factor_scale=False):
r"""
Calculation of polarizability for beads in the provided library that do not have one calculated. The multipole moments and Mie parameters must be provided for this purpose.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
bead_library : dict
Dictionary of beads and their dictionaries of multipole parameters. Those parameters may be:
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- charge (float) Charge of bead in [e], or nondimensionalized as :math:`q'=q/e`
- dipole (float) Dipole of bead in [Debye], or nondimensionalized as :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Quadrupole of bead in [Debye*Å], or nondimensionalized as :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Ionization_energy of bead in [kcal/mol], or nondimensionalized as :math:`I'=I/(3k_{B}T)`
temperature : float, Optional, default=None
Temperature in [K] for adding and removing dimensions, if the parameters are nondimensionalized, this value isn't used.
distance_opts : dict, Optional, default={}
Dictionary of keyword arguments for :func:`~mapsci.multipole_mie_combining_rules.calc_distance_array`
calculation_method : str, Optional, default="fit"
Method of calculating the polarizability, either 'fit' or 'analytical'
polarizability_opts : dict, Optional, default={}
Dictionary of keyword arguments for :func:`~mapsci.multipole_mie_combining_rules.fit_polarizability` or :func:`~mapsci.multipole_mie_combining_rules.solve_polarizability_integral`
nondimensional : bool, Optional, default=False
Indicates whether the given bead library has been nondimensionalized by :func:`~mapsci.multipole_mie_combining_rules.dict_dimensions`
shape_factor_scale : bool, Optional, default=False
Scale energy parameter based on shape factor epsilon*Si*Sj
Returns
-------
bead_library : dict
Dictionary of beads and their dictionaries of multipole parameters. The following parameter is added to the original dictionary:
- polarizability (float) Polarizability of bead in [:math:`Å^3`] or nondimensionalized as :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
"""
if not nondimensional:
if temperature == None:
logger.error("Temperature should be included when 'nondimensional' is False")
bead_library_new = dict_dimensions(bead_library.copy(), temperature, dimensions=False)
else:
bead_library_new = bead_library.copy()
tmp = [False if type(value)==dict else True for _,value in bead_library_new.items()]
if np.all(tmp):
bead_library_new = {"tmp": bead_library_new}
flag = True
elif np.any(tmp):
raise ValueError("Dictionary should be either a single beads parameters, or a dictionary of dictionaries containing the parameters of several beads.")
else:
flag = False
for i, bead in enumerate(bead_library_new.keys()):
if "polarizability" in bead_library_new[bead]:
logger.info("Using given polarizability value for bead, {}".format(bead))
r = calc_distance_array(bead_library_new[bead], **distance_opts)
if calculation_method == "fit":
pol_tmp, var = fit_polarizability(r, bead_library_new[bead], **polarizability_opts, nondimensional=True)
elif calculation_method == "analytical":
pol_tmp = solve_polarizability_integral(r[0], bead_library_new[bead], **polarizability_opts, nondimensional=True)
else:
raise ValueError("Given, {}, is not a valid calculation method, choose 'fit' or 'analytical'".format(calculation_method))
if np.isnan(pol_tmp):
raise ValueError("Error: Bead {} cannot fit suitable polarizability. Attractive exponent is most likely not suitable given the bead partial charges.")
bead_library_new[bead]["polarizability"] = pol_tmp
if not nondimensional:
bead_library_new = dict_dimensions(bead_library_new, temperature, dimensions=True)
if flag:
bead_library_new = bead_library_new["tmp"]
return bead_library_new
def fit_polarizability(r, bead_dict, temperature=None, nondimensional=False, tol=0.05, shape_factor_scale=False, plot_fit=False):
r"""
Calculation of polarizability by fitting the sum of multipole potentials to attractive term of Mie potential.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
r : numpy.ndarray
Array (or float) of distance between two beads. Reported in [Å] or nondimensionalized as :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
bead_dict : dict
Dictionary of multipole parameters.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- charge (float) Charge of bead in [e], or nondimensionalized as :math:`q'=q/e`
- dipole (float) Dipole of bead in [Debye], or nondimensionalized as :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Quadrupole of bead in [Debye*Å], or nondimensionalized as :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Ionization_energy of bead in [kcal/mol], or nondimensionalized as :math:`I'=I/(3k_{B}T)`
temperature : float, Optional, default=None
Temperature in [K] for adding and removing dimensions, if the parameters are nondimensionalized, this value isn't used.
nondimensional : bool, Optional, default=False
Indicates whether the given bead library has been nondimensionalized by :func:`~mapsci.multipole_mie_combining_rules.dict_dimensions`
tol : float, Optional, default=0.05
Ratio of variance of polarizability over polarizability, taken from curve-fit
shape_factor_scale : bool, Optional, default=False
Scale energy parameter based on shape factor epsilon*Si*Sj
plot_fit : bool, Optional, default=False
Plot Mie potential and Multipole potential for comparison.
Returns
-------
Polarizability : float
Polarizability of bead in [:math:`Å^3`] or nondimensionalized with :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
standard_dev : float
One standard deviation error for polarizability
"""
if not nondimensional:
if temperature == None:
logger.error("Temperature should be included when 'nondimensional' is False")
bead_dict_new = dict_dimensions(bead_dict.copy(), temperature, dimensions=False)
else:
bead_dict_new = bead_dict.copy()
w_mie = calc_mie_attractive_potential(r, bead_dict_new, shape_factor_scale=shape_factor_scale)
p0 = [1.e-6]
pol_tmp, var_matrix = spo.curve_fit(
lambda x, a: calc_self_multipole_potential(x,
a,
bead_dict_new,
nondimensional=True,
),
r,
w_mie,
p0=p0,
bounds=(0.0, np.inf))
if np.diag(var_matrix) / pol_tmp > tol:
_ = test_polarizability(pol_tmp, bead_dict_new, r, plot_fit=plot_fit, shape_factor_scale=shape_factor_scale)
polarizability = pol_tmp[0]
pol_variance = var_matrix[0][0]
if not nondimensional:
polarizability = float_dimensions(polarizability,"polarizability",temperature,dimensions=True)
pol_variance = float_dimensions(pol_variance,"polarizability",temperature,dimensions=True)
return polarizability, pol_variance
def test_polarizability(polarizability, bead_dict, r, plot_fit=False, shape_factor_scale=False):
r"""
If polarizability doesn't provide a good fit between multipole potential and Mie potential, use estimated polarizability to suggest a different attractive exponent and energy parameter.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
polarizability : float
Nondimensionalized polarizability of bead. :math:`\alpha'=\alpha (4 \pi \varepsilon_{0})^{2} 3k_{B}T e^{-6}`
bead_dict : dict
Dictionary of multipole parameters.
- epsilon (float) Nondimensionalized energy parameter, :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Nondimensionalized size parameter, :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- charge (float) Nondimensionalized charge of bead. :math:`q'=q/e`
- dipole (float) Nondimensionalized dipole of bead. :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Nondimensionalized quadrupole of bead. :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Nondimensionalized ionization_energy of bead. :math:`I'=I/(3k_{B}T)`
r : numpy.ndarray
Array (or float) of nondimensionalized distance between two beads. Nondimensionalized as :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
plot_fit : bool, Optional, default=False
Plot Mie potential and Multipole potential for comparison.
Returns
-------
epsilon_fit : float
Energy parameter with curve fit against multipole potential using fit polarizability
"""
bead_dict_new = bead_dict.copy()
bead_dict_new["polarizability"] = polarizability
output = fit_multipole_cross_interaction_parameter(bead_dict_new,
bead_dict_new,
distance_array=r,
nondimensional=True,
shape_factor_scale=shape_factor_scale)
logger.warning(
"Refitting attractive exponent with estimated polarizability of {} yields: lamba_a {}, epsilon {}".format(
bead_dict_new["polarizability"], output["lambdaa"], output["epsilon"]))
if plot_fit:
from mapsci.quick_plots import plot_potential, plot_multipole_potential
w_mie = calc_mie_attractive_potential(r, bead_dict_new, shape_factor_scale=shape_factor_scale)
plot_opts = {"label":"Mie", "color": "k", "linestyle": "--"}
plot_potential(r, w_mie, plot_opts=plot_opts, show=False)
bead_dict_plot = bead_dict_new.copy()
bead_dict_plot.update({"epsilon": output["epsilon"], "lambdaa": output["lambdaa"]})
w_mie_fit = calc_mie_attractive_potential(r, bead_dict_plot, shape_factor_scale=shape_factor_scale)
plot_opts = {"label":"Mie fit", "color": "r", "linestyle": "--"}
plot_potential(r, w_mie_fit, plot_opts=plot_opts, show=False)
multipole_terms = calc_cross_multipole_terms(bead_dict_new, bead_dict_new, nondimensional=True)
tmp = ["charge-dipole", "charge-induced_dipole", "induced_dipole-induced_dipole", "dipole-dipole", "dipole-induced_dipole", "charge-quadrupole", "dipole-quadrupole", "induced_dipole-quadrupole", "quadrupole-quadrupole"]
logger.debug(("{}: {{{}}}\n"*len(tmp)).format(*[val for val in tmp for _ in range(2)]).format(**dict(zip(tmp,A))))
potential, potential_terms = calc_cross_multipole_potential(r, multipole_terms, total_only=False, nondimensional=True)
plot_multipole_potential(r, potential, potential_terms=potential_terms)
return output["epsilon"]
def solve_polarizability_integral(sigma0, bead_dict0, shape_factor_scale=False, temperature=None, nondimensional=False):
r"""
Calculation of polarizability from multipole moments using explicit integral method.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
sigma0 : float
This lower bound of the integral dictates where we expect to start matching the multipole attractive term with that of Mie potential. Can be reported in [Å] or nondimensionalized as :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
bead_dict : dict
Dictionary of multipole parameters for bead_A.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
shape_factor_scale : bool, Optional, default=False
Scale energy parameter based on shape factor epsilon*Si*Sj
temperature : float, Optional, default=None
Temperature in [K] for adding and removing dimensions, if the parameters are nondimensionalized, this value isn't used.
nondimensional : bool, Optional, default=False
Indicates whether the given bead library has been nondimensionalized by :func:`~mapsci.multipole_mie_combining_rules.dict_dimensions`
Returns
-------
polarizability : float
Polarizability calculated from Mie and multipole potentials, integrated from sigma0 to infinity. Polarizability of bead in [:math:`Å^3`] or nondimensionalized with :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
"""
if not nondimensional:
if temperature == None:
logger.error("Temperature should be included when 'nondimensional' is False")
bead_dict = dict_dimensions(bead_dict0.copy(), temperature, dimensions=False)
sigma0 = float_dimensions(sigma0,"sigma",temperature,dimensions=False)
else:
bead_dict = bead_dict0.copy()
Cmie_int = mie_integral(bead_dict, sigma0=sigma0, shape_factor_scale=shape_factor_scale)
tmp1 = _obj_polarizability_from_integral(np.finfo("float").eps, bead_dict, Cmie_int, sigma0)
tmp2 = _obj_polarizability_from_integral(1, bead_dict, Cmie_int, sigma0)
if tmp1 * tmp2 < 0:
polarizability = spo.brentq(_obj_polarizability_from_integral,
np.finfo("float").eps,
1,
args=(bead_dict, Cmie_int, sigma0),
xtol=1e-12)
else:
polarizability = np.nan
if not nondimensional and not np.isnan(polarizability):
polarizability = float_dimensions(polarizability,"polarizability",temperature,dimensions=True)
return polarizability
def calc_cross_multipole_terms(bead1, bead2, temperature=None, nondimensional=False):
r"""
Calculation of terms for nondimensionalized cross-interaction potential from multipole moments.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
bead1 : dict
Dictionary of multipole parameters for bead_A.
- charge (float) Charge of bead in [e], or nondimensionalized as :math:`q'=q/e`
- dipole (float) Dipole of bead in [Debye], or nondimensionalized as :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Quadrupole of bead in [Debye*Å], or nondimensionalized as :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Ionization_energy of bead in [kcal/mol], or nondimensionalized as :math:`I'=I/(3k_{B}T)`
- polarizability (float) Polarizability of bead in [:math:`Å^3`] or nondimensionalized with :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
bead2 : dict
Dictionary of multipole parameters for bead_B.
- charge (float) Charge of bead in [e], or nondimensionalized as :math:`q'=q/e`
- dipole (float) Dipole of bead in [Debye], or nondimensionalized as :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Quadrupole of bead in [Debye*Å], or nondimensionalized as :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Ionization_energy of bead in [kcal/mol], or nondimensionalized as :math:`I'=I/(3k_{B}T)`
- polarizability (float) Polarizability of bead in [:math:`Å^3`] or nondimensionalized with :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
temperature : float, Optional, default=None
Temperature in [K] for adding and removing dimensions, if the parameters are nondimensionalized, this value isn't used.
nondimensional : bool, Optional, default=False
Indicates whether the given bead library has been nondimensionalized by :func:`~mapsci.multipole_mie_combining_rules.dict_dimensions`
Returns
-------
multipole_terms : numpy.ndarray
This list of nine terms terms corresponds to the coefficients the various multipole interactions: charge-dipole, charge-induced_dipole, induced_dipole-induced_dipole, dipole-dipole, dipole-induced_dipole, charge-quadrupole, dipole-quadrupole, induced_dipole-quadrupole, quadrupole-quadrupole
Note: This are ALWAYS nondimensionalized
"""
if not nondimensional:
if temperature == None:
logger.error("Temperature should be included when 'nondimensional' is False")
beadA = dict_dimensions(bead1.copy(), temperature, dimensions=False)
beadB = dict_dimensions(bead2.copy(), temperature, dimensions=False)
else:
beadA = bead1.copy()
beadB = bead2.copy()
t11 = (beadA['charge']**2. * beadB['dipole']**2 + beadB['charge']**2. * beadA['dipole']**2.) / 2.0
t12 = (beadA['charge']**2. * beadB['polarizability'] + beadB['charge']**2. * beadA['polarizability']) / 2.0
I = beadA['ionization_energy'] * beadB['ionization_energy'] / (beadA['ionization_energy'] +
beadB['ionization_energy'])
t21 = 3. * I * beadA['polarizability'] * beadB['polarizability'] / 2.
t22 = beadA['dipole']**2. * beadB['dipole']**2.
t23 = beadA['polarizability'] * beadB['dipole']**2. + beadB['polarizability'] * beadA['dipole']**2.
t24 = 3. * (beadA['quadrupole']**2. * beadB['charge']**2. + beadB['quadrupole']**2. * beadA['charge']**2.) / 10.
t31 = 3. / 2. * (beadA['dipole']**2. * beadB['quadrupole']**2. + beadB['dipole']**2. * beadA['quadrupole']**2.)
t32 = 3. / 2. * (beadA['quadrupole']**2. * beadB['polarizability'] +
beadB['quadrupole']**2. * beadA['polarizability'])
t41 = 21. / 5. * beadA['quadrupole']**2. * beadB['quadrupole']**2.
multipole_terms = np.array([t11, t12, t21, t22, t23, t24, t31, t32, t41], dtype=object)
return multipole_terms
def condense_multipole_terms(multipole_terms):
r"""
The various multipole interactions take place at various orders of distances, ranging from r^(-4) to r^(-10) by orders of 2. This function will take the output of ``calc_cross_multipole_terms`` and combine the appropriate terms to produce 4 coefficients, one for each order of r.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
multipole_terms : numpy.ndarray
This list of nine terms terms corresponds to the coefficients the various multipole interactions: charge-dipole, charge-induced_dipole, induced_dipole-induced_dipole, dipole-dipole, dipole-induced_dipole, charge-quadrupole, dipole-quadrupole, induced_dipole-quadrupole, quadrupole-quadrupole
Returns
-------
new_multipole_terms : numpy.ndarray
This list of terms corresponds to the coefficients for r to the order of -4, -6, -8, and -10, respectively.
"""
new_multipole_terms = np.zeros(4)
new_multipole_terms[0] = np.sum(multipole_terms[:1])
new_multipole_terms[1] = np.sum(multipole_terms[2:6])
new_multipole_terms[2] = np.sum(multipole_terms[6:8])
new_multipole_terms[3] = np.sum(multipole_terms[8])
return new_multipole_terms
def calc_cross_multipole_potential(r, multipole_terms, nondimensional=False, temperature=None, total_only=True):
r"""
Calculation of nondimensionalized cross-interaction potential from multipole moments.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
r : numpy.ndarray
Array (or float) of nondimensionalized distance between two beads. :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
multipole_terms : numpy.ndarray
This can be either a list of terms corresponds to the coefficients for r to the order of -4, -6, -8, and -10, or a list of nine terms terms corresponding to the coefficients the various multipole interactions.
temperature : float, Optional, default=None
Temperature in [K] for adding and removing dimensions, if the parameters are nondimensionalized, this value isn't used.
nondimensional : bool, Optional, default=False
Indicates whether the given bead library has been nondimensionalized by :func:`~mapsci.multipole_mie_combining_rules.dict_dimensions`
total_only : bool, Optional, default=True
If true, only the overall potential is returned. This is useful for parameter fitting. If False, the potential for each term is returned in a numpy array.
Returns
-------
potential : numpy.ndarray
Array of nondimensionalized potential between beads based on multipole moments. Array is equal in length to "r". :math:`\phi'=\phi/(3k_{B}T)` or in kcal/mol
potential_terms : numpy.ndarray, Optional
2D array of terms involved in multipole moment. Could be 4 terms relating to orders of r from -4 to -10 by steps of 2, or could be the individual contributions. Either dimensionalized or in kcal/mol
Only provided if ``total_only`` is False
"""
if np.size(multipole_terms) == 4:
potential_terms = np.array([
-multipole_terms[0] / r**4., -multipole_terms[1] / r**6., -multipole_terms[2] / r**8.,
-multipole_terms[3] / r**10.
])
elif np.size(multipole_terms) == 9:
potential_terms = np.array([
-multipole_terms[0] / r**4., -multipole_terms[1] / r**4., -multipole_terms[2] / r**6.,
-multipole_terms[3] / r**6., -multipole_terms[4] / r**6., -multipole_terms[5] / r**6.,
-multipole_terms[6] / r**8., -multipole_terms[7] / r**8., -multipole_terms[8] / r**10.
])
else:
raise ValueError(
"Multipole terms input should be either of length 4 or length 9 for the supported interaction types.")
potential = np.sum(potential_terms, axis=0)
if not nondimensional:
potential = float_dimensions(potential, "ionization_energy", temperature)
potential_terms = float_dimensions(potential_terms, "ionization_energy", temperature)
if total_only:
return potential
else:
return potential, potential_terms
def _obj_polarizability_from_integral(polarizability, bead_dict, Cintegral, sigma0):
r"""
Objective function used to determine the polarizability from multipole and Mie integrals from some minimum to infinity
Parameters
----------
polarizability : float
Guess in nondimensionalized polarizability with :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
bead_dict : dict
Dictionary of multipole parameters for bead_A.
- charge (float) Charge nondimensionalized as :math:`q'=q/e`
- dipole (float) Dipole nondimensionalized as :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Quadrupole nondimensionalized as :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Ionization_energy nondimensionalized as :math:`I'=I/(3k_{B}T)`
Cintegral : float
The Mie integral is set equal to the sum of the multipole potential contributions to determine the polarizability.
sigma0 : float
Lower bound of the integral, reported in nondimensionalized as :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
Returns
-------
obj_value : float
Difference between multipole term and Mie potential term integral
"""
dict_tmp = bead_dict.copy()
dict_tmp["polarizability"] = polarizability
Cmultipole, _ = multipole_integral(dict_tmp, dict_tmp, sigma0=sigma0, nondimensional=True)
return Cmultipole - Cintegral
def partial_polarizability(bead_dict0, temperature=None, sigma0=None, lower_bound="rmin", nondimensional=False):
r"""
Calculate partial derivative with respect to multipole moments. This is useful in estimating the error.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
bead_dict : dict
Dictionary of multipole parameters for bead_A.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- charge (float) Charge of bead in [e], or nondimensionalized as :math:`q'=q/e`
- dipole (float) Dipole of bead in [Debye], or nondimensionalized as :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Quadrupole of bead in [Debye*Å], or nondimensionalized as :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Ionization_energy of bead in [kcal/mol], or nondimensionalized as :math:`I'=I/(3k_{B}T)`
- polarizability (float) Polarizability of bead in [:math:`Å^3`] or nondimensionalized with :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
temperature : float, Optional, default=298
Temperature in [K] for adding and removing dimensions, if the parameters are nondimensionalized, this value isn't used.
sigma0 : float, Optional, default=None
This lower bound of the integral dictates where the lower bound of the definite integral is. Can be reported in [Å] or nondimensionalized as :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
lower_bound : str, Optional, default='rmin'
Lower bound of distance array. Used only when sigma0 is None. Can be one of:
- rmin: the position of the potential well
- sigma: the size parameter
nondimensional : bool, Optional, default=False
Indicates whether the given bead library has been nondimensionalized by :func:`~mapsci.multipole_mie_combining_rules.dict_dimensions`
Returns
-------
partial_dict : dict
Partial derivative with respect to multipole moments
"""
if not nondimensional:
if temperature is None:
temperature = 298
logger.info("Using default temperature of 298 K")
bead_dict = dict_dimensions(bead_dict0.copy(), temperature, dimensions=False)
else:
bead_dict = bead_dict0.copy()
if sigma0 is None:
if lower_bound == "rmin":
rm = mie_potential_minimum(bead_dict)
elif lower_bound == "sigma":
rm = bead_dict["sigma"]
else:
rm = float_dimensions(sigma0,"sigma",temperature,dimensions=False)
a = -2 / bead_dict['ionization_energy'] * (bead_dict['charge']**2. * rm**2 + 2 * bead_dict['dipole']**2 / 3 +
3 * bead_dict['quadrupole']**2.0 * rm**2)
b = 4 / bead_dict['ionization_energy']**2 * (
bead_dict['charge']**4. * rm**4 + 4 * bead_dict['charge']**2. * bead_dict['dipole']**2 * rm**2 / 3 +
6 * bead_dict['quadrupole']**2. * bead_dict['charge']**2. / 5 + 4 / 9 * bead_dict['dipole']**4 + 4 / 5 *
bead_dict['dipole']**2 * bead_dict['quadrupole']**2.0 / rm**2 + 9 / 25 * bead_dict['quadrupole']**4.0 / rm**4)
c = 4 / bead_dict['ionization_energy'] * (
bead_dict['charge']**2. * bead_dict['dipole']**2 * rm**2 + bead_dict['dipole']**4 / 3 +
bead_dict['quadrupole']**2. * bead_dict['charge']**2. / 5 +
3 / 5 * bead_dict['quadrupole']**2. * bead_dict['dipole']**2. / rm**2 +
3 / 5 * bead_dict['quadrupole']**4.0 / rm**4 - prefactor(bead_dict['lambdar'], bead_dict['lambdaa']) /
(bead_dict['lambdaa'] - 3) * bead_dict['epsilon'] * bead_dict['sigma']**bead_dict['lambdaa'] / rm**
(bead_dict['lambdaa'] - 6))
partial_dict = {}
for key in bead_dict0:
if key == "ionization_energy":
partial_dict[key] = -(a + np.sqrt(b - c)) / bead_dict['ionization_energy']
elif key == "charge":
tmp1 = 4 / bead_dict['ionization_energy']**2 * (
4 * bead_dict['charge']**3 * rm**4 + 8 / 3 * bead_dict['charge'] * bead_dict['dipole']**2 * rm**2 +
bead_dict['charge'] * bead_dict['quadrupole']**2 * 12 / 5)
tmp2 = 8 / bead_dict['ionization_energy'] * (bead_dict['charge'] * bead_dict['dipole']**2 * rm**2 +
bead_dict['charge'] * bead_dict['quadrupole']**2 / 5)
partial_dict[key] = -4 * bead_dict['charge'] * rm**2 / bead_dict['ionization_energy'] + (tmp1 - tmp2) / (
2 * np.sqrt(b - c))
elif key == "dipole":
tmp1 = 4 / bead_dict['ionization_energy']**2 * (
8 / 3 * bead_dict['charge']**2 * rm**2 * bead_dict['dipole'] + 16 / 9 * bead_dict['dipole']**3 +
8 / 5 * bead_dict['dipole'] * bead_dict['quadrupole']**2 / rm**2)
tmp2 = 8 / bead_dict['ionization_energy'] * (
bead_dict['charge'] * bead_dict['dipole']**2 * rm**2 + 4 / 3 * bead_dict['dipole']**3 +
3 / 5 * bead_dict['dipole'] * bead_dict['quadrupole']**2 / rm**2)
partial_dict[key] = -8 / 3 * bead_dict['dipole'] / bead_dict['ionization_energy'] + (tmp1 - tmp2) / (
2 * np.sqrt(b - c))
elif key == "quadrupole":
tmp1 = 4 / bead_dict['ionization_energy']**2 * (12 / 5 * bead_dict['charge']**2 * bead_dict['quadrupole'] +
8 / 5 * bead_dict['dipole']**2 * bead_dict['quadrupole'] /
rm**2 + 36 / 25 * bead_dict['quadrupole']**3 / rm**4)
tmp2 = 4 / bead_dict['ionization_energy'] * (2 / 5 * bead_dict['charge']**2 * bead_dict['quadrupole'] + 6 /
5 * bead_dict['dipole']**2 * bead_dict['quadrupole'] / rm**2 +
12 / 5 * bead_dict['quadrupole']**3 / rm**4)
partial_dict[key] = -12 / 5 * bead_dict['quadrupole'] / bead_dict['ionization_energy'] / rm**2 + (
tmp1 - tmp2) / (2 * np.sqrt(b - c))
if not nondimensional:
for key in partial_dict:
if key != "charge":
tmp = float_dimensions(partial_dict[key], key, temperature, dimensions=True)
else:
tmp = partial_dict[key]
partial_dict[key] = float_dimensions(tmp, "polarizability", temperature)
return partial_dict
def partial_energy_parameter(beadA,
beadB,
temperature=None,
nondimensional=False,
lower_bound="rmin",
distance_opts={},
polarizability_opts={},
shape_factor_scale=False,
sigma0=None):
r"""
Calculate partial derivative with respect to multipole moments. This is useful in estimating the error.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
beadA : dict
Dictionary of multipole parameters for bead_A.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- charge (float) Charge of bead in [e], or nondimensionalized as :math:`q'=q/e`
- dipole (float) Dipole of bead in [Debye], or nondimensionalized as :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Quadrupole of bead in [Debye*Å], or nondimensionalized as :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Ionization_energy of bead in [kcal/mol], or nondimensionalized as :math:`I'=I/(3k_{B}T)`
- polarizability (float) Polarizability of bead in [:math:`Å^3`] or nondimensionalized with :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
beadB : dict
Dictionary of multipole parameters for bead_B.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- charge (float) Charge of bead in [e], or nondimensionalized as :math:`q'=q/e`
- dipole (float) Dipole of bead in [Debye], or nondimensionalized as :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Quadrupole of bead in [Debye*Å], or nondimensionalized as :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Ionization_energy of bead in [kcal/mol], or nondimensionalized as :math:`I'=I/(3k_{B}T)`
- polarizability (float) Polarizability of bead in [:math:`Å^3`] or nondimensionalized with :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
distance_opts : dict, Optional, default={}
Dictionary of keyword arguments for :func:`~mapsci.multipole_mie_combining_rules.calc_distance_array`
temperature : float, Optional, default=298
Temperature in [K] for adding and removing dimensions, if the parameters are nondimensionalized, this value isn't used.
nondimensional : bool, Optional, default=False
Indicates whether the given bead library has been nondimensionalized by :func:`~mapsci.multipole_mie_combining_rules.dict_dimensions`
sigma0 : float, Optional, default=None
This lower bound of the integral dictates where the lower bound of the definite integral is. Can be reported in [Å] or nondimensionalized as :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
shape_factor_scale : bool, Optional, default=False
Scale energy parameter based on shape factor epsilon*Si*Sj
polarizability_opts : dict, Optional, default={}
Dictionary of keyword arguments used in :func:`~mapsci.multipole_mie_combining_rules.calc_polarizability`
lower_bound : str, Optional, default='rmin'
Lower bound of distance array. Can be one of:
- rmin: the position of the potential well
- sigma: the size parameter
Returns
-------
partial_dict : dict
Partial derivative with respect to multipole moments
"""
if not nondimensional:
if temperature is None:
temperature = 298
logger.info("Using default temperature of 298 K")
bead1 = dict_dimensions(beadA.copy(), temperature, dimensions=False)
bead2 = dict_dimensions(beadB.copy(), temperature, dimensions=False)
else:
bead1 = beadA.copy()
bead2 = beadB.copy()
bead_dict = {"0": bead1, "1": bead2}
polarizability_opts.update({"shape_factor_scale":shape_factor_scale})
bead_dict = calc_polarizability(bead_dict,
distance_opts=distance_opts,
calculation_method="analytical",
polarizability_opts=polarizability_opts,
nondimensional=True)
beadAB = mie_combining_rules(bead1, bead2)
if sigma0 is None:
if lower_bound == "rmin":
rm = mie_potential_minimum(beadAB)
elif lower_bound == "sigma":
rm = beadAB["sigma"]
else:
rm = float_dimensions(sigma0,"sigma",temperature,dimensions=False)
tmp = prefactor(beadAB["lambdar"],
beadAB["lambdaa"]) / (beadAB["lambdaa"] - 3) * beadAB["sigma"]**beadAB["lambdaa"] / rm**(beadAB["lambdaa"] - 3)
if shape_factor_scale:
tmp = tmp * beadA["Sk"] * beadB["Sk"]
partial_dict = {"0": {}, "1": {}}
for i in [0, 1]:
key1 = str(1 * i)
key2 = str(1 - i)
for key in bead_dict[key1]:
if key == "ionization_energy":
I = bead_dict[key2]['ionization_energy']**2 / (bead_dict[key1]['ionization_energy'] +
bead_dict[key2]['ionization_energy'])**2
partial_dict[key1][
key] = bead_dict[key1]['polarizability'] * bead_dict[key2]['polarizability'] / rm**3 / 2 / tmp
elif key == "charge":
tmp1 = bead_dict[key1]['charge'] / rm * (bead_dict[key2]['polarizability'] +
bead_dict[key2]['dipole']**2)
tmp2 = bead_dict[key1]['charge'] * bead_dict[key2]['quadrupole']**2 / rm**3 / 10
partial_dict[key1][key] = (tmp1 + tmp2) / tmp
elif key == "dipole":
tmp1 = bead_dict[key2]['charge']**2 * bead_dict[key1]['dipole'] / rm
tmp2 = 2 / 3 * bead_dict[key1]['dipole'] / rm**3 * (bead_dict[key2]['dipole']**2 +
bead_dict[key2]['polarizability'])
tmp3 = 3 / 5 / rm**5 * bead_dict[key1]['dipole'] * bead_dict[key2]['quadrupole']**2
partial_dict[key1][key] = (tmp1 + tmp2 + tmp3) / tmp
elif key == "quadrupole":
tmp1 = bead_dict[key2]['charge']**2 * bead_dict[key1]['quadrupole'] / rm**3 / 5
tmp2 = 3 / 5 * bead_dict[key1]['quadrupole'] / rm**5 * (bead_dict[key2]['dipole']**2 +
bead_dict[key2]['polarizability'])
tmp3 = 6 / 5 / rm**7 * bead_dict[key1]['quadrupole'] * bead_dict[key2]['quadrupole']**2
partial_dict[key1][key] = (tmp1 + tmp2 + tmp3) / tmp
elif key == "polarizability":
I = bead_dict[key1]['ionization_energy'] * bead_dict[key2]['ionization_energy'] / (
bead_dict[key1]['ionization_energy'] + bead_dict[key2]['ionization_energy'])
tmp1 = bead_dict[key2]['charge']**2 / rm / 2
tmp2 = 1 / 3 / rm**3 * (bead_dict[key2]['dipole']**2 + 3 / 2 * bead_dict[key2]['polarizability'] * I)
tmp3 = 3 / 10 / rm**5 * bead_dict[key2]['quadrupole']**2
partial_dict[key1][key] = (tmp1 + tmp2 + tmp3) / tmp
if not nondimensional:
for key in partial_dict[key1]:
if key != "charge":
tmp1 = float_dimensions(partial_dict[key1][key], key, temperature, dimensions=True)
else:
tmp1 = partial_dict[key1][key]
partial_dict[key1][key] = float_dimensions(tmp1, "epsilon", temperature)
return partial_dict
def multipole_integral(beadA, beadB, sigma0=None, lower_bound="rmin", multipole_terms=None, temperature=None, nondimensional=False):
r"""
Calculate the integral of the multipole potential from a given minimum to infinity. Units in those of :math:`\epsilon/\sigma^3`
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
beadA : dict
Dictionary of multipole parameters for bead_A.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
beadB : dict
Dictionary of multipole parameters for bead_B.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
sigma0 : float, Optional, default=None
This lower bound of the integral dictates where we expect to start matching the multipole attractive term with that of Mie potential. Can be reported in [Å] or nondimensionalized as :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`. If None, the value taken from 'lower_bound' will be used
lower_bound : str, Optional, default='rmin'
Lower bound of distance array. Can be one of:
- rmin: the position of the potential well
- sigma: the size parameter
multipole_terms : numpy.ndarray, Optional, default=None
This list of terms corresponds to the coefficients for r to the order of -4, -6, -8, and -10, respectively. If not provided, this quantity will be calculated. These are ALWAYS dimensionless
temperature : float, Optional, default=None
Temperature in [K] for adding and removing dimensions, if the parameters are nondimensionalized, this value isn't used.
nondimensional : bool, Optional, default=False
Indicates whether the given bead library has been nondimensionalized by :func:`~mapsci.multipole_mie_combining_rules.dict_dimensions`
Returns
-------
Cmultipole : float
Sum of integral terms. Either in [kcal/mol] or dimensionless :math:`C_{multi}'=C_{multi}/(3k_{B}T)`
multipole_int_terms : numpy.ndarray
This list of terms corresponds to the terms involved in calculation of the energy parameter, epsilon. These terms sum to equal epsilon. Either in [kcal/mol] or dimensionless :math:`C_{multi}'=C_{multi}/(3k_{B}T)`
"""
if lower_bound == None and sigma0 == None:
raise ValueError("Either a lower bound for integration must be provided with the keyword 'sigma0', or specified with 'lower_bound'")
if not nondimensional:
if temperature is None:
logger.error("Temperature should be included when 'nondimensional' is False")
bead1 = dict_dimensions(beadA.copy(), temperature, dimensions=False)
bead2 = dict_dimensions(beadB.copy(), temperature, dimensions=False)
if sigma0 != None:
sigma0 = float_dimensions(sigma0, "sigma", temperature, dimensions=False)
else:
bead1 = beadA.copy()
bead2 = beadB.copy()
if sigma0 == None:
bead_dict = mie_combining_rules(bead1, bead2)
if lower_bound == "rmin":
sigma0 = mie_potential_minimum(bead_dict)
elif lower_bound == "sigma":
sigma0 = bead_dict["sigma"]
if multipole_terms is None:
multipole_terms = calc_cross_multipole_terms(bead1, bead2, nondimensional=True)
if np.size(multipole_terms) == 4:
integral = -4 * np.pi * np.array([sigma0**(-1), sigma0**(-3) / 3, sigma0**(-5) / 5, sigma0**(-7) / 7])
elif np.size(multipole_terms) == 9:
integral = -4 * np.pi * np.array([
sigma0**(-1), sigma0**(-1), sigma0**(-3) / 3, sigma0**(-3) / 3, sigma0**(-3) / 3, sigma0**(-3) / 3,
sigma0**(-5) / 5, sigma0**(-5) / 5, sigma0**(-7) / 7
])
else:
raise ValueError(
"Multipole terms input should be either of length 4 or length 9 for the supported interaction types.")
multipole_int_terms0 = integral * multipole_terms
Cmultipole = np.sum(multipole_int_terms0)
if not nondimensional:
for tmp in ["epsilon", "sigma", "sigma", "sigma"]:
Cmultipole = float_dimensions(Cmultipole,tmp,temperature,dimensions=True)
multipole_int_terms0 = float_dimensions(multipole_int_terms0,tmp,temperature,dimensions=True)
return Cmultipole, multipole_int_terms0
def solve_multipole_cross_interaction_integral(sigma0,
beadA,
beadB,
multipole_terms=None,
shape_factor_scale=False,
temperature=None,
nondimensional=False,
beadAB=None):
r"""
Calculation of nondimensionalized cross-interaction potential from multipole moments.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
sigma0 : float
This lower bound of the integral dictates where we expect to start matching the multipole attractive term with that of Mie potential. Can be reported in [Å] or nondimensionalized as :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
beadA : dict
Dictionary of multipole parameters for bead_A.
- epsilon (float) Nondimensionalized energy parameter, :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Nondimensionalized size parameter, :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
beadB : dict
Dictionary of multipole parameters for bead_B.
- epsilon (float) Nondimensionalized energy parameter, :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Nondimensionalized size parameter, :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
multipole_terms : numpy.ndarray, Optional, default=None
This list of terms corresponds to the coefficients for r to the order of -4, -6, -8, and -10, respectively. If not provided, this quantity will be calculated. These are ALWAYS nondimensionalized
shape_factor_scale : bool, Optional, default=False
Scale energy parameter based on shape factor epsilon*Si*Sj
beadAB : dict
Dictionary of mixed Mie parameters for beadA and beadB.
- epsilon (float) Nondimensionalized energy parameter, :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Nondimensionalized size parameter, :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
temperature : float, Optional, default=None
Temperature in [K] for adding and removing dimensions, if the parameters are nondimensionalized, this value isn't used.
nondimensional : bool, Optional, default=False
Indicates whether the given bead library has been nondimensionalized by :func:`~mapsci.multipole_mie_combining_rules.dict_dimensions`
Returns
-------
epsilon : float
Cross interaction parameter from analytical solution of extended combining rules. Array is equal in length to "r". Either in reduced units :math:`C_{multi}'=C_{multi}/k_{B}` or dimensionless :math:`C_{multi}'=C_{multi}/(3k_{B}T)`
multipole_int_terms : numpy.ndarray
This list of terms corresponds to the terms involved in calculation of the energy parameter, epsilon. Adding these terms together produces the attractive term of the Mie potential, from which the energy parameter can be derived. Always dimensionless :math:`C_{multi}'=C_{multi}/(3k_{B}T)`
"""
if not nondimensional:
if temperature is None:
logger.error("Temperature should be included when 'nondimensional' is False")
bead1 = dict_dimensions(beadA.copy(), temperature, dimensions=False)
bead2 = dict_dimensions(beadB.copy(), temperature, dimensions=False)
sigma0 = float_dimensions(sigma0,"sigma",temperature,dimensions=False)
else:
bead1 = beadA.copy()
bead2 = beadB.copy()
if beadAB is None:
beadAB_new = mie_combining_rules(bead1, bead2)
else:
if not nondimensional:
beadAB_new = dict_dimensions(beadAB.copy(), temperature, dimensions=False)
else:
beadAB_new = beadAB.copy()
eps_tmp = beadAB_new["epsilon"]
Cmultipole, multipole_int_terms0 = multipole_integral(bead1, bead2, sigma0=sigma0, multipole_terms=multipole_terms, nondimensional=True)
eps_min = eps_tmp / 20
eps_max = eps_tmp * 2
epsilon = spo.brentq(_obj_energy_parameter_from_integral,
eps_min,
eps_max,
args=(bead1, bead2, beadAB_new, Cmultipole, sigma0, shape_factor_scale),
xtol=1e-12)
if not nondimensional:
epsilon = float_dimensions(epsilon,"epsilon",temperature,dimensions=True)
return epsilon, multipole_int_terms0
def _obj_energy_parameter_from_integral(eps0, beadA, beadB, beadAB, Cintegral, sigma0, shape_factor_scale=False):
r"""
Objective function used to fit energy parameter to integral of multipole moment
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
epsilon : float
Guess in nondimensionalized energy parameter in [kcal/mol], :math:`\epsilon'=\epsilon/(3k_{B}T)`
bead1 : dict
Dictionary of multipole parameters for bead_A.
- epsilon (float) Nondimensionalized energy parameter, :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Nondimensionalized size parameter, :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
bead2 : dict
Dictionary of multipole parameters for bead_B.
- epsilon (float) Nondimensionalized energy parameter, :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Nondimensionalized size parameter, :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
beadAB : dict
Dictionary of mixed Mie parameters for bead1 and bead2.
- epsilon (float) Nondimensionalized energy parameter, :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Nondimensionalized size parameter, :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
Cintegral : float
This sum of the multipole integrals is set equal to the attractive term of the integrated Mie potential to determine the energy parameter.
sigma0 : float
The lower bound of the integral, can be reported in [Å] or nondimensionalized as :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
shape_factor_scale : bool, Optional, default=False
Scale energy parameter based on shape factor epsilon*Si*Sj
Returns
-------
obj_value : float
Difference between multipole term and Mie potential term integral
"""
Cint = mie_integral(beadAB, sigma0=sigma0, shape_factor_scale=shape_factor_scale)
return eps0 * Cint / beadAB["epsilon"] - Cintegral
def mie_integral(beadAB, sigma0=None, lower_bound="rmin", shape_factor_scale=False):
r"""
Calculate the integral of the attractive term in the Mie potential from the given minimum value to infinity. Units in those of :math:`\epsilon/\sigma^3`
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
beadAB : dict
Dictionary of mixed Mie parameters for bead1 and bead2.
- epsilon (float) Nondimensionalized energy parameter, :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Nondimensionalized size parameter, :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
sigma0 : float, Optional, default=None
This lower bound of the integral dictates where we expect to start matching the multipole attractive term with that of Mie potential. Can be reported in [Å] or nondimensionalized as :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`. If None, the value taken from 'lower_bound' will be used
lower_bound : str, Optional, default='rmin'
Lower bound of distance array. Can be one of:
- rmin: the position of the potential well
- sigma: the size parameter
shape_factor_scale : bool, Optional, default=False
Scale energy parameter based on shape factor epsilon*Si*Sj
Returns
-------
Cintegral : float
Value of the definite Mie integral from sigma0 to infinity
"""
if lower_bound == None and sigma0 == None:
raise ValueError("Either a lower bound for integration must be provided with the keyword 'sigma0', or specified with 'lower_bound'")
if sigma0 == None:
if lower_bound == "rmin":
sigma0 = mie_potential_minimum(beadAB)
elif lower_bound == "sigma":
sigma0 = beadAB["sigma"]
if shape_factor_scale:
if "Sk" in beadAB:
beadAB["epsilon"] = beadAB["epsilon"] * beadAB["Sk"]**2
else:
raise ValueError("Shape factor was not provided in bead dictionary")
integral = -4 * np.pi * beadAB["epsilon"] * prefactor(
beadAB["lambdar"],
beadAB["lambdaa"]) * beadAB["sigma"]**beadAB["lambdaa"] / sigma0**(beadAB["lambdaa"] - 3) / (beadAB["lambdaa"] - 3)
return integral
def fit_multipole_cross_interaction_parameter(beadA,
beadB,
distance_opts={},
distance_array=None,
shape_factor_scale=False,
nondimensional=False,
temperature=None):
r"""
Calculation of nondimensionalized cross-interaction parameter for the Mie potential.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
beadA : dict
Dictionary of Mie and multipole parameters for bead_A.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- charge (float) Charge of bead in [e], or nondimensionalized as :math:`q'=q/e`
- dipole (float) Dipole of bead in [Debye], or nondimensionalized as :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Quadrupole of bead in [Debye*Å], or nondimensionalized as :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Ionization_energy of bead in [kcal/mol], or nondimensionalized as :math:`I'=I/(3k_{B}T)`
- polarizability (float) Polarizability of bead in [:math:`Å^3`] or nondimensionalized with :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
beadB : dict
Dictionary of Mie and multipole parameters for bead_B.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- charge (float) Charge of bead in [e], or nondimensionalized as :math:`q'=q/e`
- dipole (float) Dipole of bead in [Debye], or nondimensionalized as :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Quadrupole of bead in [Debye*Å], or nondimensionalized as :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Ionization_energy of bead in [kcal/mol], or nondimensionalized as :math:`I'=I/(3k_{B}T)`
- polarizability (float) Polarizability of bead in [:math:`Å^3`] or nondimensionalized with :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
shape_factor_scale : bool, Optional, default=False
Scale energy parameter based on shape factor epsilon*Si*Sj
temperature : float, Optional, default=None
Temperature in [K] for adding and removing dimensions, if the parameters are nondimensionalized, this value isn't used.
nondimensional : bool, Optional, default=False
Indicates whether the given bead library has been nondimensionalized by :func:`~mapsci.multipole_mie_combining_rules.dict_dimensions`
distance_opts : dict, Optional, default={}
Dictionary of keyword arguments for :func:`~mapsci.multipole_mie_combining_rules.calc_distance_array`
distance_array : numpy.ndarray, Optional, default=None
Array (or float) in either [Å] or nondimensionalized distance between two beads. :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`, whatever is consistent with 'bead_dict'. If None, 'distance_opts' are used to generate the array.
Returns
-------
output_dict : dict
Dictionary of:
- epsilon (float) Fit energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`. Calculated from fit lambda and van der Waals attraction parameter.
- kij (float) Binary interaction parameter for fit energy parameter, where :math:`\epsilon_{fit}=(1-k_{ij})\sqrt{\epsilon_i\epsilon_j}`
- sigma (float) Size parameter taken at mean, reported in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Fit repulsive exponent, calculated as K/epsilon_fit
- lambdaa (float) Fit attractive exponent
- lambdaa_variance (float) Variance in attractive exponent during fitting process
- epsilon_saft (float) Energy parameter from SAFT method of scaling with geometric mean, scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- kij (float) Binary interaction parameter for SAFT prediction of energy parameter, where epsilon_saft = :math:`\epsilon_{saft}=(1-k_{ij,saft})\sqrt{\epsilon_i\epsilon_j}`
- K (float) Equal to :math:`C_{Mie}\epsilon_{fit}`, used in fitting process. Used to calculate lambdar.
- K_variance (float) Variance in calculation of dummy variable K
"""
if not nondimensional:
if temperature is None:
logger.error("Temperature should be included with 'nondimensional' is False")
bead1 = dict_dimensions(beadA.copy(), temperature, dimensions=False)
bead2 = dict_dimensions(beadB.copy(), temperature, dimensions=False)
else:
bead1 = beadA.copy()
bead2 = beadB.copy()
# Set-up Mie parameters
beadAB = mie_combining_rules(bead1, bead2)
Cmie = prefactor(beadAB["lambdar"], beadAB["lambdaa"])
if shape_factor_scale:
if "Sk" not in beadA:
beadA["Sk"] = 1.0
if "Sk" not in beadB:
beadB["Sk"] = 1.0
multipole_terms = calc_cross_multipole_terms(bead1, bead2, nondimensional=True)
# From curve fit
if distance_array is None:
r = calc_distance_array(beadAB, **distance_opts)
else:
r = distance_array
w_multipole, potential_terms = calc_cross_multipole_potential(r, multipole_terms, total_only=False, nondimensional=True)
# ___________ VDW parameter combining _______________
params, var_matrix = spo.curve_fit(lambda x, K, lambdaa: log_mie_attractive(
r, bead1, bead2, lambda_a=lambdaa, Kprefactor=K, shape_factor_scale=shape_factor_scale),
r,
np.log(-w_multipole),
p0=[beadAB["epsilon"] * Cmie, beadAB["lambdaa"]],
bounds=(0.0, np.inf))
K = params[0]
lambdaa_fit = params[1]
eps_fit = calc_epsilonij_from_lambda_aij(lambdaa_fit, bead1, bead2)
if K / eps_fit < 1.01:
raise ValueError(
"A suitable repulsive exponent cannot be calculated using the following cross interaction parameters:\n epsilon: {}, lambdaa: {}, Cmie: {} < 1.0\n Check self-interaction parameters above. A common cause could be poorly fit polarizability because a partial charge was assigned to an bead where it's Mie potential is fit to expect dipole to be the highest order."
.format(float_dimensions(eps_fit, "epsilon", temperature), lambdaa_fit, K / eps_fit))
else:
try:
lambdar_fit = spo.brentq(lambda x: K / eps_fit - prefactor(x, lambdaa_fit), lambdaa_fit * 1.01, 1e+4, xtol=1e-12)
except:
raise ValueError("This shouldn't happen, check given parameters.")
# Save output
if not nondimensional:
tmp = beadAB["epsilon"] * np.sqrt(bead1["sigma"]**3 * bead2["sigma"]**3) / beadAB["sigma"]**3
beadAB["epsilon_saft"] = float_dimensions(tmp,"epsilon",temperature,dimensions=True)
beadAB["epsilon"] = float_dimensions(eps_fit,"epsilon",temperature,dimensions=True)
beadAB["K"] = float_dimensions(K,"epsilon",temperature,dimensions=True)
beadAB["K_variance"] = float_dimensions(var_matrix[1][1],"epsilon",temperature,dimensions=True)
beadAB["sigma"] = float_dimensions(beadAB["sigma"],"sigma",temperature,dimensions=True)
else:
beadAB["epsilon_saft"] = beadAB["epsilon"] * np.sqrt(
bead1["sigma"]**3 * bead2["sigma"]**3) / beadAB["sigma"]**3
beadAB["epsilon"] = eps_fit
beadAB["K"] = K
beadAB["K_variance"] = var_matrix[1][1]
beadAB["lambdaa"] = lambdaa_fit
beadAB["lambdaa_variance"] = var_matrix[0][0]
beadAB["lambdar"] = lambdar_fit
beadAB["kij_saft"] = 1 - beadAB["epsilon_saft"] / np.sqrt(bead1["epsilon"]*bead2["epsilon"])
beadAB["kij"] = 1 - beadAB["epsilon"] / np.sqrt(bead1["epsilon"]*bead2["epsilon"])
return beadAB
def log_mie_attractive(r, bead1, bead2, lambda_a=None, Kprefactor=None, epsilon=None, shape_factor_scale=False):
r"""
Calculate the log of the attractive term of the Mie potential. This linearizes the curve for the fitting process
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
r : numpy.ndarray
Array (or float) of nondimensionalized distance between two beads. :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
bead1 : dict
Dictionary of multipole parameters for bead_A.
- epsilon (float) Nondimensionalized energy parameter, :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Nondimensionalized size parameter, :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
bead2 : dict
Dictionary of multipole parameters for bead_B. If provided, the mixed energy parameter is fit.
- epsilon (float) Nondimensionalized energy parameter, :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Nondimensionalized size parameter, :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- Sk (float) Shape factor
epsilon : float, Optional, default=None
The energy parameter for the Mie potential, if not specified the combining rule from `Lafitte 2013 <https://doi.org/10.1063/1.4819786>`_ is used
lambda_a : float, Optional, default=None
The cross interaction attractive exponent, if not specified the combining rule from `Lafitte 2013 <https://doi.org/10.1063/1.4819786>`_ is used
Kprefactor : float, Optional, default=None
Total prefactor of Mie potential equal to the energy parameters times the Mie prefactor, C. If not specified, the value using the combining rules from `Lafitte 2013 <https://doi.org/10.1063/1.4819786>`_ is used.
shape_factor_scale : bool, Optional, default=False
Scale energy parameter based on shape factor epsilon*Si*Sj
Returns
-------
log_potential : numpy.ndarray
The potential array for the given value of epsilon
"""
beadAB = mie_combining_rules(bead1, bead2)
sigma = beadAB["sigma"]
lambda_r = beadAB["lambdar"]
if epsilon is not None and lambda_a is not None:
# Assume lambdar follows normal combining rules
Kprefactor = epsilon * prefactor(lambda_r, lambda_a)
elif epsilon is not None and Kprefactor is not None:
raise ValueError("Specifying 'epsilon' and 'Kprefactor' is redundant.")
elif epsilon is not None:
# Assume both exponents follow normal combining rules
lambda_a = beadAB["lambdaa"]
Kprefactor = epsilon * prefactor(lambda_r, lambda_a)
elif lambda_a is not None and Kprefactor is None:
# Assume lambdar follows normal combining rules, epsilon can be derived from 1 fluid combining rule
epsilon = calc_epsilonij_from_lambda_aij(lambda_a, bead1, bead2)
Kprefactor = epsilon * prefactor(lambda_r, lambda_a)
elif lambda_a is None and Kprefactor is not None:
# Assume lambdaa follows normal combining rules
lambda_a = beadAB["lambdaa"]
if shape_factor_scale:
Kprefactor = Kprefactor * bead1["Sk"] * bead2["Sk"]
return np.log(Kprefactor) + lambda_a * np.log(sigma / r)
def calc_self_mie_from_multipole(bead_dict,
mie_vdw=None,
temperature=298,
lambda_r=12,
distance_opts={},
distance_array=None,
polarizability_opts={},
shape_factor_scale=False,
nondimensional=False):
r"""
Calculation of self-interaction parameters for the Mie potential from multipole moments.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
bead_dict : dict
Dictionary of Mie and multipole parameters for bead_A.
- epsilon (float) Energy parameter scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Size parameter in [Å], or nondimensionalized as :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- charge (float) Charge of bead in [e], or nondimensionalized as :math:`q'=q/e`
- dipole (float) Dipole of bead in [Debye], or nondimensionalized as :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Quadrupole of bead in [Debye*Å], or nondimensionalized as :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Ionization_energy of bead in [kcal/mol], or nondimensionalized as :math:`I'=I/(3k_{B}T)`
- polarizability (float) Polarizability of bead in [:math:`Å^3`] or nondimensionalized with :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
mie_vdw : float, Optional, default=None
This nondimensionalized attractive parameter for the Mie potential is related not only to the Mie exponents but also to the triple and critical temperatures of a substance. It can be used to specify the repulsive exponent, otherwise a value of 12 is assumed
lambda_r : float, Optional, default=12
Assumed repulsive exponent. This quantity can be changed later as long as the energy parameter is scaled accordingly.
temperature : float, Optional, default=298
Temperature in [K] for adding and removing dimensions, if the parameters are nondimensionalized, this value isn't used.
shape_factor_scale : bool, Optional, default=False
Scale energy parameter based on shape factor epsilon*Si*Sj
distance_opts : dict, Optional, default={}
Optional keywords for creating r array used for calculation or fitting
polarizability_opts : dict, Optional, default={}
Dictionary of keyword arguments for :func:`~mapsci.multipole_mie_combining_rules.fit_polarizability` or :func:`~mapsci.multipole_mie_combining_rules.solve_polarizability_integral`
nondimensional : bool, Optional, default=False
Indicates whether the given bead library has been nondimensionalized by :func:`~mapsci.multipole_mie_combining_rules.dict_dimensions`
distance_array : numpy.ndarray, Optional, default=None
Array (or float) in either [Å] or nondimensionalized distance between two beads. :math:`r'=r (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`, whatever is consistent with 'bead_dict'. If None, 'distance_opts' are used to generate the array.
Returns
-------
cross_dict : dict
Dictionary with energy parameter and exponents for Mie cross interaction between the given beads.
- epsilon (float) Fit energy parameter, scaled by :math:`k_{B}` in [K], or nondimensionalized as :math:`\epsilon'=\epsilon/(3k_{B}T)`
- lambdar (float) Repulsive exponent, if mie_vdw is provided, otherwise this is the same value that was given.
- lambdaa (float) Fit attractive exponent
"""
if not nondimensional:
logger.info("Calculating cross-interaction parameter with temperature of {}.".format(temperature))
bead_dict_new = dict_dimensions(bead_dict.copy(), temperature, dimensions=False)
else:
bead_dict_new = bead_dict.copy()
if shape_factor_scale:
if "Sk" not in bead_dict_new:
bead_dict_new["Sk"] = 1.0
if "polarizability" not in bead_dict_new:
logger.debug("Calculating polarizability")
polarizability_opts.update({"shape_factor_scale":shape_factor_scale})
bead_dict_new = calc_polarizability(bead_dict_new, distance_opts=distance_opts, calculation_method="fit", polarizability_opts=polarizability_opts, nondimensional=True)
multipole_terms = calc_cross_multipole_terms(bead_dict_new, bead_dict_new, nondimensional=True)
if distance_array is None:
r = calc_distance_array(bead_dict_new, **distance_opts)
else:
r = distance_array
w_multipole, potential_terms = calc_cross_multipole_potential(r, multipole_terms, total_only=False, nondimensional=True)
Cmie = prefactor(bead_dict_new["lambdar"], bead_dict_new["lambdaa"])
params, var_matrix = spo.curve_fit(lambda x, K, lambdaa: log_mie_attractive(
r, bead_dict_new, bead_dict_new, lambda_a=lambdaa, Kprefactor=K, shape_factor_scale=shape_factor_scale),
r,
np.log(-w_multipole),
p0=[bead_dict_new["epsilon"] * Cmie, bead_dict_new["lambdaa"]],
bounds=(0.0, np.inf))
K = params[0]
bead_dict_new["lambdaa"] = params[1]
if mie_vdw is not None:
logger.info("Overwrite given lambdar with Mie potential relationship to vdW like parameter.")
bead_dict_new["lambdar"] = calc_lambdarij_from_lambda_aij(bead_dict_new["lambdaa"], mie_vdw)
if shape_factor_scale:
bead_dict_new["epsilon"] = K / prefactor(bead_dict_new["lambdar"], bead_dict_new["lambdaa"]) / bead_dict_new["Sk"]**2
else:
bead_dict_new["epsilon"] = K / prefactor(bead_dict_new["lambdar"], bead_dict_new["lambdaa"])
if not nondimensional:
bead_dict_new = dict_dimensions(bead_dict_new, temperature, dimensions=True)
return bead_dict_new
def extended_combining_rules_fitting(bead_library, temperature, shape_factor_scale=False, distance_opts={}, polarizability_opts={}):
r"""
Calculate and output the cross-interaction parameters for the provided dictionary of beads utilizing the Mie potential.
Parameters
----------
bead_library : dict
Dictionary of dictionaries with Mie and multipole parameters for each bead in the desired system.
- epsilon (float) [K] Energy parameter scaled by Boltzmann constant
- sigma (float) [Å] Size parameter
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- polarizability (float) [:math:`Å^3`] This quantity is used as a free parameter in combining rule
- charge (float) [-] Charge of bead fragment in elementary charges
- dipole (float) [Debye] Dipole moment of bead fragment
- quadrupole (float) [Debye*Å] Quadrupole moment of bead fragment
- ionization_energy (float) [kcal/mol] Ionization energy of bead fragment
temperature : float
The temperature in [K] of the system
shape_factor_scale : bool, Optional, default=False
Scale energy parameter based on shape factor epsilon*Si*Sj
distance_opts : dict, Optional, default={}
Optional keywords for creating r array used for calculation or fitting
polarizability_opts : dict, Optional, default={}
Dictionary of keyword arguments used in :func:`~mapsci.multipole_mie_combining_rules.calc_polarizability`
Returns
-------
cross_dict : dict
Dictionary with "epsilon" value for cross interaction for the given beads.
summary : dict
Dictionary of bead types and details of their interactions with each of the other bead types. For each pair a dictionary entry is present for:
- epsilon_saft (float) cross interaction with SAFT combining rules
- kij_saft (float) binary interaction parameter for the energy parameter with SAFT combining rules
- epsilon (float) cross interaction from multipole curve fit
- kij (float) binary interaction parameter from multipole curve fit
- lambdar (float) repulsive exponent from multipole curve fit
- lambdaa (float) attractive exponent from multipole curve fit
- polarizability_* (float) polarizabilities for the two beads
"""
bead_library_new = dict_dimensions(bead_library.copy(), temperature, dimensions=False)
polarizability_opts.update({"shape_factor_scale":shape_factor_scale})
bead_library_new = calc_polarizability(bead_library_new,
distance_opts=distance_opts,
polarizability_opts=polarizability_opts,
nondimensional=True)
# Calculate cross interaction file
dict_cross = {}
dict_summary = {}
beads = list(bead_library_new.keys())
for i, bead1 in enumerate(beads):
if len(beads[i + 1:]) > 0:
dict_cross[bead1] = {}
dict_summary[bead1] = {}
for bead2 in beads[i + 1:]:
cross_out = fit_multipole_cross_interaction_parameter(bead_library_new[bead1],
bead_library_new[bead2],
distance_opts=distance_opts,
shape_factor_scale=shape_factor_scale,
nondimensional=True,
temperature=temperature)
pol_i = float_dimensions(bead_library_new[bead1]["polarizability"], "polarizability", temperature)
pol_j = float_dimensions(bead_library_new[bead2]["polarizability"], "polarizability", temperature)
epsilon_saft = float_dimensions(cross_out["epsilon_saft"], "epsilon", temperature)
epsilon_fit = float_dimensions(cross_out["epsilon"], "epsilon", temperature)
dict_cross[bead1][bead2] = {
"epsilon": cross_out["epsilon"],
"lambdar": cross_out["lambdar"],
"lambdaa": cross_out["lambdaa"]
}
dict_summary[bead1][bead2] = {
"epsilon_saft": epsilon_saft,
"kij_saft": cross_out["kij_saft"],
"epsilon": epsilon_fit,
"kij": cross_out["kij"],
"lambdar": cross_out["lambdar"],
"lambdaa": cross_out["lambdaa"],
"polarizability_"+bead1: pol_i,
"polarizability_"+bead2: pol_j,
}
dict_cross = dict_dimensions(dict_cross.copy(), temperature)
return dict_cross, dict_summary
def extended_combining_rules_analytical(bead_library, temperature, shape_factor_scale=False, distance_opts={}, polarizability_opts={}):
r"""
Calculate and output the cross-interaction energy parameter for the provided dictionary of beads utilizing the Mie potential, using the Analytical (i.e. integral) method
Parameters
----------
bead_library : dict
Dictionary of dictionaries with Mie and multipole parameters for each bead in the desired system.
- epsilon (float) [K] Energy parameter scaled by Boltzmann constant
- sigma (float) [Å] Size parameter
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- polarizability (float) [:math:`Å^3`] This quantity is used as a free parameter in combining rule
- charge (float) [-] Charge of bead fragment in elementary charges
- dipole (float) [Debye] Dipole moment of bead fragment
- quadrupole (float) [Debye*Å] Quadrupole moment of bead fragment
- ionization_energy (float) [kcal/mol] Ionization energy of bead fragment
temperature : float
The temperature in [K] of the system
shape_factor_scale : bool, Optional, default=False
Scale energy parameter based on shape factor epsilon*Si*Sj
distance_opts : dict, Optional, default={}
Optional keywords for creating r array used for calculation or fitting
polarizability_opts : dict, Optional, default={}
Dictionary of keyword arguments used in :func:`~mapsci.multipole_mie_combining_rules.calc_polarizability`
Returns
-------
cross_dict : dict
Dictionary with `epsilon` value for cross interaction between given beads.
summary : dict
Dictionary of bead types and details of their interactions with each of the other bead types. For each pair a dictionary entry is present for:
- epsilon_saft (float) cross interaction with SAFT combining rules
- kij_saft (float) binary interaction parameter for the energy parameter with SAFT combining rules
- epsilon (float) cross interaction from multipole analytical solution
- kij (float) binary interaction parameter from multipole analytical solution
- lambdar (float) repulsive exponent from SAFT combining rules
- lambdaa (float) attractive exponent from SAFT combining rules
- polarizability_* (float) polarizabilities for the two beads
"""
if temperature == None or np.isnan(temperature):
raise ValueError("Temperature must be a real number, given {}.".format(temperature))
bead_library_new = dict_dimensions(bead_library.copy(), temperature, dimensions=False)
polarizability_opts.update({"shape_factor_scale":shape_factor_scale})
bead_library_new = calc_polarizability(bead_library_new,
distance_opts=distance_opts,
polarizability_opts=polarizability_opts,
calculation_method="analytical",
nondimensional=True)
# Calculate cross interaction file
dict_cross = {}
dict_summary = {}
beads = list(bead_library_new.keys())
for i, bead1 in enumerate(beads):
beadA = bead_library_new[bead1]
if len(beads[i + 1:]) > 0:
dict_cross[bead1] = {}
dict_summary[bead1] = {}
for bead2 in beads[i + 1:]:
beadB = bead_library_new[bead2]
beadAB = mie_combining_rules(beadA, beadB)
r = calc_distance_array(beadAB, **distance_opts)
epsilon_tmp, terms = solve_multipole_cross_interaction_integral(r[0],
beadA,
beadB,
nondimensional=True,
shape_factor_scale=shape_factor_scale)
pol_i = float_dimensions(beadA["polarizability"], "polarizability", temperature)
pol_j = float_dimensions(beadB["polarizability"], "polarizability", temperature)
eps_saft_tmp = beadAB["epsilon"] * np.sqrt(beadA["sigma"]**3 * beadB["sigma"]**3) / beadAB["sigma"]**3
epsilon_saft = float_dimensions(eps_saft_tmp, "epsilon", temperature)
epsilon_analytical = float_dimensions(epsilon_tmp, "epsilon", temperature)
kij_saft = 1 - eps_saft_tmp / beadAB["epsilon"]
kij_analytical = 1 - epsilon_tmp / beadAB["epsilon"]
dict_cross[bead1][bead2] = {"epsilon": epsilon_tmp}
dict_summary[bead1][bead2] = {
"epsilon_saft": epsilon_saft,
"kij_saft": kij_saft,
"epsilon": epsilon_analytical,
"kij": kij_analytical,
"lambdar": beadAB["lambdar"],
"lambdaa": beadAB["lambdaa"],
"polarizability_{}".format(bead1): pol_i,
"polarizability_{}".format(bead2): pol_j,
}
dict_cross = dict_dimensions(dict_cross.copy(), temperature)
return dict_cross, dict_summary
def dict_dimensions(parameters, temperature, dimensions=True, conv_custom={}):
r"""
Obtain instructions for systems used in calculation.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
parameters : dict
This dictionary of bead types contains a dictionary of parameters for each.
- epsilon (float) Nondimensionalize energy parameter in [K], :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Nondimensionalize size parameter in [Å], :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- polarizability (float) Nondimensionalize polarizability of bead in [:math:`Å^3`]. :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
- charge (float) Nondimensionalize charge of bead in [e]. :math:`q'=q/e`
- dipole (float) Nondimensionalize dipole of bead in [Debye]. :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Nondimensionalize quadrupole of bead in [Debye*Å]. :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Nondimensionalize ionization_energy of bead in [kcal/mol]. :math:`I'=I/(3k_{B}T)`
temperature : float
The temperature of the system
dimensions : bool, Optional, default=True
If true, will add SI-units to multipole parameters, if False, will nondimensionalize.
conv_custom : dict, Optional, default={}
This dictionary may have the same parameter names used for the beads and overwrite default values.
Returns
-------
new_parameters : dict
This dictionary of bead types contains a dictionary of parameters for each.
"""
if temperature == None or np.isnan(temperature):
raise ValueError("Temperature must be a real number, given {}.".format(temperature))
# Nondimensionalize Parameters
C_l = 1e+10 # [Ang/m]
C_D = 3.33564e-20 # [C*Ang/Debye]
C_e = 6.9477e-21 # [J / kcal/mol]
C_eV = 1.602176565e-19 # [J/eV]
e0 = 8.854187817e-12 * C_e / C_l # [C^2/(J*m)] to [C^2*mol/(kcal*Ang)]
kb = 1.38064852e-23 / C_e # [J/K] to [kcal/(mol*K)] Boltzmann constant
perm = (4 * np.pi * e0)**2 # [C^2*mol/(kcal*Ang)]^2
K = 3 * kb * temperature # [kcal/mol]
conv = {"epsilon": 1/(3*temperature), \
"ionization_energy": 1/K,
"sigma": np.sqrt(perm)*K/C_eV**2, \
"dipole": C_D*np.sqrt(perm)*K/C_eV**3, \
"quadrupole": C_D*perm*K**2/C_eV**5, \
"charge":1, \
"polarizability": 4*np.pi*e0*perm*K**3/C_eV**6}
# "polarizability": perm*K**3/C_eV**6} Using the polarizability is in large units
for key, value in conv_custom.items():
conv[key] = value
new_parameters = {}
for k1, v1 in parameters.items():
new_parameters[k1] = {}
if type(v1) == dict:
for k2, v2 in v1.items():
if type(v2) == dict:
new_parameters[k1][k2] = {}
for k3, v3 in v2.items():
if k3 in conv:
if dimensions:
new_parameters[k1][k2][k3] = v3 / conv[k3]
else:
new_parameters[k1][k2][k3] = v3 * conv[k3]
else:
new_parameters[k1][k2][k3] = v3
else:
if k2 in conv:
if dimensions:
new_parameters[k1][k2] = v2 / conv[k2]
else:
new_parameters[k1][k2] = v2 * conv[k2]
else:
new_parameters[k1][k2] = v2
else:
if k1 in conv:
if dimensions:
new_parameters[k1] = v1 / conv[k1]
else:
new_parameters[k1] = v1 * conv[k1]
else:
new_parameters[k1] = v1
return new_parameters
def float_dimensions(parameter, parameter_type, temperature, dimensions=True, conv_custom={}):
r"""
Obtain instructions for systems used in calculation.
Nondimensional parameters are scaled using the following physical constants: vacuum permittivity, :math:`\varepsilon_{0}`, Boltzmann constant, :math:`k_{B}`, and elementary charge, :math:`e`.
Parameters
----------
parameter : float
Value of parameter to be converted.
parameter_type : str
Parameter name, can be:
- epsilon (float) Nondimensionalize energy parameter in [K], :math:`\epsilon'=\epsilon/(3k_{B}T)`
- sigma (float) Nondimensionalize size parameter in [Å], :math:`\sigma'=\sigma (4 \pi \varepsilon_{0}) 3k_{B}T e^{-2}`
- lambdar (float) Repulsive exponent
- lambdaa (float) Attractive exponent
- polarizability (float) Nondimensionalize polarizability of bead in [:math:`Å^3`]. :math:`\alpha'=\alpha (4 \pi \varepsilon_{0}) 3k_{B}T e^{-6}`, where the dimensionalized version is the polarizability volume
- charge (float) Nondimensionalize charge of bead in [e]. :math:`q'=q/e`
- dipole (float) Nondimensionalize dipole of bead in [Debye]. :math:`\mu'=\mu (4 \pi \varepsilon_{0}) 3k_{B}T e^{-3}`
- quadrupole (float) Nondimensionalize quadrupole of bead in [Debye*Å]. :math:`Q'=Q (4 \pi \varepsilon_{0})^{2} (3k_{B}T)^{2} e^{-5}`
- ionization_energy (float) Nondimensionalize ionization_energy of bead in [kcal/mol]. :math:`I'=I/(3k_{B}T)`
temperature : float
The temperature of the system
dimensions : bool, Optional, default=True
If true, will add SI-units to multipole parameters, if False, will nondimensionalize.
conv_custom : dict, Optional, default={}
This dictionary may have the same parameter names used for the beads and overwrite default values.
Returns
-------
new_parameter : float
Converted parameter
"""
if temperature == None or np.isnan(temperature):
raise ValueError("Temperature must be a real number, given {}.".format(temperature))
# Nondimensionalize Parameters
C_l = 1e+10 # [Ang/m]
C_D = 3.33564e-20 # [C*Ang/Debye]
C_e = 6.9477e-21 # [J / kcal/mol]
C_eV = 1.602176565e-19 # [J/eV]
e0 = 8.854187817e-12 * C_e / C_l # [C^2/(J*m)] to [C^2*mol/(kcal*Ang)]
kb = 1.38064852e-23 / C_e # [J/K] to [kcal/(mol*K)] Boltzmann constant
perm = (4 * np.pi * e0)**2 # [C^2*mol/(kcal*Ang)]^2
K = 3 * kb * temperature # [kcal/mol]
conv = {"epsilon": 1/(3*temperature), \
"ionization_energy": 1/K,
"sigma": np.sqrt(perm)*K/C_eV**2, \
"dipole": C_D*np.sqrt(perm)*K/C_eV**3, \
"quadrupole": C_D*perm*K**2/C_eV**5, \
"charge":1, \
"polarizability": 4*np.pi*e0*perm*K**3/C_eV**6}
for key, value in conv_custom.items():
conv[key] = value
if parameter_type in conv:
if dimensions:
new_parameter = parameter / conv[parameter_type]
else:
new_parameter = parameter * conv[parameter_type]
else:
raise KeyError("Parameter, {}, is not supported. Must be one of: {}".format(parameter_type, list(conv.keys())))
return new_parameter
| 53.631403 | 379 | 0.643516 | 14,025 | 112,036 | 5.005205 | 0.039287 | 0.028035 | 0.009174 | 0.037408 | 0.781262 | 0.745192 | 0.710918 | 0.682427 | 0.66113 | 0.648565 | 0 | 0.019938 | 0.241208 | 112,036 | 2,088 | 380 | 53.657088 | 0.805804 | 0.545503 | 0 | 0.4324 | 0 | 0.00609 | 0.134148 | 0.002485 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037759 | false | 0 | 0.004872 | 0 | 0.081608 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
47a1064da90cdd4be68ec774bce6e12ebc6bb300 | 680 | py | Python | server/src/police_lineups/configurations/auth_token.py | vabalcar/police-lineups | 9c4a17d58e973d6db6e442bd9d5f4313ad4d51b7 | [
"MIT"
] | null | null | null | server/src/police_lineups/configurations/auth_token.py | vabalcar/police-lineups | 9c4a17d58e973d6db6e442bd9d5f4313ad4d51b7 | [
"MIT"
] | 2 | 2021-09-24T11:43:58.000Z | 2021-09-24T12:00:21.000Z | server/src/police_lineups/configurations/auth_token.py | vabalcar/police-lineups | 9c4a17d58e973d6db6e442bd9d5f4313ad4d51b7 | [
"MIT"
] | null | null | null | import secrets
from typing import Mapping
class AuthTokenConfiguration:
@property
def issuer(self) -> str:
return self._issuer
@property
def lifetime(self) -> int:
return self._lifetime
@property
def secret(self) -> str:
return self._secret
@property
def algorithm(self) -> str:
return self._algorithm
def __init__(self, raw_auth_config: Mapping) -> None:
self._issuer = 'police_lineups'
self._lifetime = raw_auth_config.get('lifetime')
self._secret = raw_auth_config.get('secret', secrets.token_urlsafe(32))
self._algorithm = 'HS256' # https://en.wikipedia.org/wiki/HMAC
| 24.285714 | 79 | 0.654412 | 79 | 680 | 5.379747 | 0.443038 | 0.103529 | 0.091765 | 0.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009709 | 0.242647 | 680 | 27 | 80 | 25.185185 | 0.815534 | 0.05 | 0 | 0.2 | 0 | 0 | 0.051242 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.1 | 0.2 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
47b322783da72a23545011b9888d8758fe1f067b | 810 | py | Python | platform/core/polyaxon/conf/options/core.py | hackerwins/polyaxon | ff56a098283ca872abfbaae6ba8abba479ffa394 | [
"Apache-2.0"
] | null | null | null | platform/core/polyaxon/conf/options/core.py | hackerwins/polyaxon | ff56a098283ca872abfbaae6ba8abba479ffa394 | [
"Apache-2.0"
] | null | null | null | platform/core/polyaxon/conf/options/core.py | hackerwins/polyaxon | ff56a098283ca872abfbaae6ba8abba479ffa394 | [
"Apache-2.0"
] | null | null | null | import conf
from options.registry import core
conf.subscribe(core.PasswordLength)
conf.subscribe(core.AdminViewEnabled)
conf.subscribe(core.Logging)
conf.subscribe(core.Debug)
conf.subscribe(core.Protocol)
conf.subscribe(core.ApiHost)
conf.subscribe(core.LoginUrl)
conf.subscribe(core.AccountActivationDays)
conf.subscribe(core.CeleryBrokerBackend)
conf.subscribe(core.CeleryBrokerUrl)
conf.subscribe(core.HeadersInternal)
conf.subscribe(core.SecretInternalToken)
conf.subscribe(core.HealthCheckWorkerTimeout)
conf.subscribe(core.ClusterNotificationAliveUrl)
conf.subscribe(core.ClusterNotificationUrl)
conf.subscribe(core.ClusterNotificationNodesUrl)
conf.subscribe(core.SecurityContextUser)
conf.subscribe(core.SecurityContextGroup)
conf.subscribe(core.EncryptionKey)
conf.subscribe(core.EncryptionSecret)
| 32.4 | 48 | 0.865432 | 87 | 810 | 8.057471 | 0.310345 | 0.370899 | 0.485021 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034568 | 810 | 24 | 49 | 33.75 | 0.896419 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.045455 | 0.090909 | 0 | 0.090909 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
47b42090fa5d2fd3693bae05b79376fdf1b08e5e | 249 | py | Python | ods_python/tests/test0.py | jvanoost/ods-cookbook | 9a5180214593bf1be16db35bd77f3db6f745a4ce | [
"MIT"
] | 1 | 2020-12-02T07:43:10.000Z | 2020-12-02T07:43:10.000Z | ods_python/tests/test0.py | jvanoost/ods-cookbook | 9a5180214593bf1be16db35bd77f3db6f745a4ce | [
"MIT"
] | null | null | null | ods_python/tests/test0.py | jvanoost/ods-cookbook | 9a5180214593bf1be16db35bd77f3db6f745a4ce | [
"MIT"
] | null | null | null | from ods_python import ods_python
portailMEL = readODS("http://opendata.lillemetropole.fr/")
print(portailMEL.getCatalog())
print(portailMEL.getCatalogMonitoring())
ret = portailMEL.getDataset("vlille-realtime")
print(type(ret))
print(ret) | 27.666667 | 59 | 0.771084 | 28 | 249 | 6.785714 | 0.642857 | 0.094737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.092369 | 249 | 9 | 60 | 27.666667 | 0.840708 | 0 | 0 | 0 | 0 | 0 | 0.202479 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0.571429 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
47be73d4b27d67861138a141c0f2b84ad9fdbf90 | 446 | py | Python | app/schemas/User.py | nanoMFG/gr-resq-webapp-backend | 51cbd7bcda054199b4556cdc7377a1252438d7b7 | [
"MIT"
] | null | null | null | app/schemas/User.py | nanoMFG/gr-resq-webapp-backend | 51cbd7bcda054199b4556cdc7377a1252438d7b7 | [
"MIT"
] | 1 | 2022-02-09T21:55:43.000Z | 2022-02-09T21:55:43.000Z | app/schemas/User.py | nanoMFG/gr-resq-webapp-backend | 51cbd7bcda054199b4556cdc7377a1252438d7b7 | [
"MIT"
] | 1 | 2022-02-09T20:58:57.000Z | 2022-02-09T20:58:57.000Z | from pydantic import BaseModel, Field, EmailStr
from typing import Optional, Literal
from uuid import UUID
class User(BaseModel):
email: EmailStr = Field(...)
class UserInDB(User):
ID: UUID = Field(...)
passwordHash: str = Field(...)
role: Literal[
"basic_user",
"system_admin",
"group_member",
"group_moderator"] = Field(...)
authorID: Optional[int] = Field(None, description="Author ID")
| 23.473684 | 66 | 0.639013 | 49 | 446 | 5.734694 | 0.591837 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.226457 | 446 | 18 | 67 | 24.777778 | 0.814493 | 0 | 0 | 0 | 0 | 0 | 0.130045 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.071429 | 0.214286 | 0 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
47c1048769a3773f35618025c178a24450b40d9e | 420 | py | Python | authentication/migrations/0002_auto_20201215_0859.py | NonsoAmadi10/BRT | 61b787cd0bd5ad4e81f9853c8fa978ac32bfe777 | [
"MIT"
] | null | null | null | authentication/migrations/0002_auto_20201215_0859.py | NonsoAmadi10/BRT | 61b787cd0bd5ad4e81f9853c8fa978ac32bfe777 | [
"MIT"
] | null | null | null | authentication/migrations/0002_auto_20201215_0859.py | NonsoAmadi10/BRT | 61b787cd0bd5ad4e81f9853c8fa978ac32bfe777 | [
"MIT"
] | null | null | null | # Generated by Django 3.1.4 on 2020-12-15 07:59
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('authentication', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='user',
name='city',
),
migrations.RemoveField(
model_name='user',
name='state',
),
]
| 19.090909 | 47 | 0.547619 | 40 | 420 | 5.675 | 0.725 | 0.185022 | 0.229075 | 0.264317 | 0.334802 | 0.334802 | 0 | 0 | 0 | 0 | 0 | 0.0681 | 0.335714 | 420 | 21 | 48 | 20 | 0.74552 | 0.107143 | 0 | 0.4 | 1 | 0 | 0.115282 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.066667 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
47d8e665a6968fc7468bbb061f6780750c0a0299 | 1,249 | py | Python | password_field/fields.py | thedrow/django-password-field | f3a1b641c670cac63e799f756b1eff378a0ad9ff | [
"BSD-3-Clause"
] | 2 | 2018-03-02T12:57:16.000Z | 2019-06-07T20:14:24.000Z | password_field/fields.py | thedrow/django-password-field | f3a1b641c670cac63e799f756b1eff378a0ad9ff | [
"BSD-3-Clause"
] | null | null | null | password_field/fields.py | thedrow/django-password-field | f3a1b641c670cac63e799f756b1eff378a0ad9ff | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
from django.contrib.auth.hashers import make_password, check_password
from django.db.models import CharField
from django.utils import six
from django.utils.encoding import smart_text
class PasswordFieldDescriptor(object):
def __init__(self):
self.value = None
def __eq__(self, other):
def setter(raw_password):
self.value = make_password(raw_password)
return check_password(other, self.value, setter=setter)
def __set__(self, instance, value):
if instance.password.value != value:
self.value = make_password(value)
def __str__(self):
return smart_text(self.value)
class PasswordField(CharField):
def __init__(self, *args, **kwargs):
max_length = kwargs.pop('max_length', 512)
super(PasswordField, self).__init__(max_length=max_length, *args, **kwargs)
def contribute_to_class(self, cls, name, **kwargs):
super(PasswordField, self).contribute_to_class(cls, name, **kwargs)
setattr(cls, name, PasswordFieldDescriptor())
def to_python(self, value):
if isinstance(value, six.string_types) or value is None:
return value
return smart_text(value.value)
| 29.738095 | 83 | 0.689351 | 157 | 1,249 | 5.203822 | 0.375796 | 0.066095 | 0.03672 | 0.051408 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004044 | 0.208167 | 1,249 | 41 | 84 | 30.463415 | 0.822042 | 0.027222 | 0 | 0 | 0 | 0 | 0.008244 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.296296 | false | 0.407407 | 0.148148 | 0.037037 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
47f9f05ca6bf85c5ad5e11b96fd11cd3b8f201fc | 277 | py | Python | APICanalLuciernaga/lugar/views.py | ErickMurillo/canal-luciernaga | 3839b2bf03aea4f5336e0b2899845dc6ec38ee04 | [
"MIT"
] | null | null | null | APICanalLuciernaga/lugar/views.py | ErickMurillo/canal-luciernaga | 3839b2bf03aea4f5336e0b2899845dc6ec38ee04 | [
"MIT"
] | 12 | 2020-02-12T01:04:09.000Z | 2022-02-10T12:22:14.000Z | APICanalLuciernaga/lugar/views.py | ErickMurillo/canal-luciernaga | 3839b2bf03aea4f5336e0b2899845dc6ec38ee04 | [
"MIT"
] | 3 | 2019-07-04T19:51:17.000Z | 2019-07-30T17:23:13.000Z | from django.shortcuts import render
from rest_framework import viewsets
from .models import Pais
from .serializers import PaisSerializer
# Create your views here.
class PaisViewSet(viewsets.ModelViewSet):
queryset = Pais.objects.all()
serializer_class = PaisSerializer
| 30.777778 | 41 | 0.812274 | 33 | 277 | 6.757576 | 0.69697 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133574 | 277 | 8 | 42 | 34.625 | 0.929167 | 0.083032 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.571429 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
9a0075a295976c6945ec613e318e808b514d82e5 | 2,705 | py | Python | funowl/prefix_declarations.py | clin113jhu/funowl | 805963c9d2718598c85a1213106161b59f5a8dd3 | [
"CC0-1.0"
] | null | null | null | funowl/prefix_declarations.py | clin113jhu/funowl | 805963c9d2718598c85a1213106161b59f5a8dd3 | [
"CC0-1.0"
] | null | null | null | funowl/prefix_declarations.py | clin113jhu/funowl | 805963c9d2718598c85a1213106161b59f5a8dd3 | [
"CC0-1.0"
] | null | null | null | from dataclasses import dataclass
from typing import Optional, List, Union
from rdflib import Graph
from rdflib.namespace import NamespaceManager, OWL
from rdflib.term import Node, URIRef
from funowl.base.fun_owl_base import FunOwlBase, FunOwlRoot
from funowl.writers.FunctionalWriter import FunctionalWriter
from funowl.general_definitions import PrefixName, FullIRI
@dataclass
class Prefix(FunOwlBase):
prefixName: Optional[PrefixName]
fullIRI: FullIRI
def to_functional(self, w: FunctionalWriter) -> FunctionalWriter:
return w.func(self, lambda: w.concat((self.prefixName or '') + ':', '=',
URIRef(str(self.fullIRI)).n3(), sep=' '))
def to_rdf(self, g: Graph) -> None:
"""
Add the prefix binding to the graph
:param g: Graph to add binding to
:return: None -- no corresponding node
"""
g.bind(self.prefixName, self.fullIRI.to_rdf(g))
return None
# TODO: there are parts of this class that are not necessary -- in particular, it is questionable whether
# we really need a graph to back it up
class PrefixDeclarations(NamespaceManager):
def __init__(self, g: Optional[Graph] = None) -> None:
self._init = True
super().__init__(g if g is not None else Graph())
self.bind('owl', OWL)
self._init = False
def as_prefixes(self) -> List[Prefix]:
""" Return the contents of the manager as a list of Prefixes """
return [Prefix(ns if ns else None, uri) for (ns, uri) in self.namespaces()]
def __setattr__(self, key, value):
if key.startswith('_') or self._init or key in self.__dict__:
super().__setattr__(key, value)
else:
self.append(Prefix(key, value))
def add(self, decls: Union["PrefixDeclarations", List[Prefix]]) -> None:
""" Add an existing list of prefixes or prefix declarations """
for decl in decls.as_prefixes() if isinstance(decls, PrefixDeclarations) else decls:
self.append(decl)
def add_to_graph(self, g: Graph) -> None:
for prefix in self.as_prefixes():
g.namespace_manager.bind(str(prefix.prefixName), str(prefix.fullIRI), True, True)
def append(self, decl: Prefix) -> None:
self.bind(decl.prefixName, decl.fullIRI)
def bind(self, prefix, namespace, override=True, replace=True):
""" Bind with override and replace defaults changed """
super().bind(str(prefix) if prefix is not None else None, str(namespace), override, replace)
def to_functional(self, w: FunctionalWriter) -> FunctionalWriter:
return w.iter(self.as_prefixes(), indent=False)
| 38.098592 | 106 | 0.661368 | 348 | 2,705 | 5.031609 | 0.310345 | 0.022844 | 0.017133 | 0.021702 | 0.06739 | 0.06739 | 0.06739 | 0.06739 | 0.06739 | 0 | 0 | 0.000482 | 0.233272 | 2,705 | 70 | 107 | 38.642857 | 0.84378 | 0.156007 | 0 | 0.046512 | 0 | 0 | 0.011251 | 0 | 0 | 0 | 0 | 0.014286 | 0 | 1 | 0.232558 | false | 0 | 0.186047 | 0.046512 | 0.604651 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
9a16d8426e9331fbff9bd632be1a055724f3b5bc | 123 | py | Python | kektrade/exchange/binance_futures.py | flamingrickpat/kektrade | 7bf5e0607605852c5f0c9116134ad61e2fd572d7 | [
"MIT"
] | null | null | null | kektrade/exchange/binance_futures.py | flamingrickpat/kektrade | 7bf5e0607605852c5f0c9116134ad61e2fd572d7 | [
"MIT"
] | null | null | null | kektrade/exchange/binance_futures.py | flamingrickpat/kektrade | 7bf5e0607605852c5f0c9116134ad61e2fd572d7 | [
"MIT"
] | null | null | null | from kektrade.exchange.interface import *
logger = logging.getLogger(__name__)
class BinanceFutures(IExchange):
pass
| 17.571429 | 41 | 0.788618 | 13 | 123 | 7.153846 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130081 | 123 | 6 | 42 | 20.5 | 0.869159 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.25 | 0.25 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
9a2e25d517e4de311c7c70c9e442e63fc2225b1c | 16,480 | py | Python | visualization.py | avysogorets/Effective-Sparsity | d78e227b040785392750fe39b608c18c8a6cb9ac | [
"MIT"
] | 4 | 2021-07-18T08:39:30.000Z | 2022-02-22T04:38:58.000Z | visualization.py | avysogorets/Effective-Sparsity | d78e227b040785392750fe39b608c18c8a6cb9ac | [
"MIT"
] | null | null | null | visualization.py | avysogorets/Effective-Sparsity | d78e227b040785392750fe39b608c18c8a6cb9ac | [
"MIT"
] | null | null | null | import matplotlib as mpl
import numpy as np
import os
import math
import argparse
import matplotlib.pyplot as plt
fig,ax=plt.subplots(nrows=1,ncols=1,figsize=[6,4])
parser=argparse.ArgumentParser()
parser.add_argument('--architecture',type=str,default='lenet300100',help='network type (choose one of: lenet300100, lenet5, vgg16, vgg19, resnet18)')
parser.add_argument('--num_samples',type=int,default=3,help='number of seeds available')
parser.add_argument('--pruners_to_display',nargs='+',default=[],help='select pruners for display (choose one or more of: lamp, snip, snip/iterative, synflow, random/uniform, random/erk, random/igq, random/uniform_plus, random/synflow, magnitude/global, magnitude/uniform, magnitude/erk, magnitude/igq, magnitude/uniform_plus)')
parser.add_argument('--out_path',type=str,default='EffectiveSparsity',help='path to the folder with output files')
parser.add_argument('--pruning_type',type=str,default='effective',help='pruning type used to generate output files (choose one of: direct, effective)')
parser.add_argument('--effective_type',type=str,default='synflow',help='method to compute effective compression (choose one of: custom, synflow)')
parser.add_argument('--plot_type',type=str,default='accuracies',help='plot type (choose one of: accuracies, compressions)')
args=parser.parse_args()
if not os.path.exists(os.path.join(args.out_path,args.architecture,'figures')):
os.makedirs(os.path.join(args.out_path,args.architecture,'figures'))
pruners=['random/erk','random/igq','magnitude/global','snip','snip/iterative','random/snip','synflow','random/synflow','random/uniform','lamp','magnitude/igq','magnitude/uniform','magnitude/erk','magnitude/uniform_plus','random/uniform_plus']
network_names={'lenet300100':'LeNet-300-100','lenet5':'LeNet-5','vgg16':'VGG-16','vgg19':'VGG-19','resnet18':'ResNet-18'}
pruner_names=['ERK (random)','IGQ (random)','Global (magnitude)','SNIP','SNIP-iterative','SNIP (random)','SynFlow','SynFlow (random)','Uniform (random)','LAMP',"IGQ (magnitude)","Uniform (magnitude)","ERK (magnitude)","Uniform+ (magnitude)","Uniform+ (random)"]
pruner_names={pruner:name for pruner,name in zip(pruners,pruner_names)}
color_map={'random/uniform_plus':'blue','random/snip':'blue','lamp':'aqua','synflow':'orange','snip':'blue','random/uniform':'mediumorchid','snip/iterative':'cyan','random/erk':'green','random/igq':'red','magnitude/uniform_plus':'blue','magnitude/global':'gold','random/synflow':'orange','magnitude/uniform':'mediumorchid','magnitude/igq':'red','magnitude/erk':'green'}
random={'lenet300100':10,'lenet5':10,'vgg16':10,'vgg19':100,'resent18':200}
linestyle_direct='dashed'
linestyle_effective='solid'
def accuracies(args):
""" plots accuracies against effective and direct compression
"""
legend_elements=[]
compressions={pruner:set([]) for pruner in args.pruners_to_display}
load_prefix={pruner:os.path.join(args.out_path,args.architecture,pruner,args.pruning_type) for pruner in args.pruners_to_display}
for pruner in args.pruners_to_display:
for filename in os.listdir(load_prefix[pruner]):
if os.path.isfile(os.path.join(load_prefix[pruner],filename)):
compression=int(filename.split('_')[1])
if 'accuracies.npy' in filename:
compressions[pruner].add(compression)
compressions={pruner:sorted(list(compressions[pruner])) for pruner in args.pruners_to_display}
counts=np.load(os.path.join(args.out_path,args.architecture,'dense','counts.npy'))
accuracies={pruner:np.array([[np.load(os.path.join(load_prefix[pruner],f'{sample}_{compression}_accuracies.npy'))[-1] for compression in compressions[pruner]] for sample in range(args.num_samples)]) for pruner in args.pruners_to_display}
direct_sparsities={pruner:np.array([[np.load(os.path.join(load_prefix[pruner],f'{sample}_{compression}_sparsities_direct.npy')) for compression in compressions[pruner]] for sample in range(args.num_samples)]) for pruner in args.pruners_to_display}
effective_sparsities={pruner:np.array([[np.load(os.path.join(load_prefix[pruner],f'{sample}_{compression}_sparsities_effective_{args.effective_type}.npy')) for compression in compressions[pruner]] for sample in range(args.num_samples)]) for pruner in args.pruners_to_display}
overall_direct_sparsity={pruner:np.array([[sum([sparsity*count for sparsity,count in zip(direct_sparsities[pruner][sample][level],counts)])/sum(counts) for level in range(len(compressions[pruner]))] for sample in range(args.num_samples)]) for pruner in args.pruners_to_display}
overall_effective_sparsity={pruner:np.array([[sum([sparsity*count for sparsity,count in zip(effective_sparsities[pruner][sample][level],counts)])/sum(counts) for level in range(len(compressions[pruner]))] for sample in range(args.num_samples)]) for pruner in args.pruners_to_display}
overall_direct_compression={pruner:1./(1-overall_direct_sparsity[pruner]) for pruner in args.pruners_to_display}
overall_effective_compression={pruner:1./(1-overall_effective_sparsity[pruner]) for pruner in args.pruners_to_display}
dense=np.array([np.load(os.path.join(args.out_path,args.architecture,'dense',f'{sample}_1_accuracies.npy'))[-1] for sample in range(args.num_samples)])
dense_min,dense_mean,dense_max=np.min(dense),np.mean(dense),np.max(dense)
ticks={pruner:10**(0.05*np.arange(20,20*np.log10(compressions[pruner][-1]),20/9)) for pruner in args.pruners_to_display}
accuracies_direct_sorted={pruner:[accuracies[pruner][sample][overall_direct_compression[pruner][sample].argsort()] for sample in range(args.num_samples)] for pruner in args.pruners_to_display}
overall_direct_compression={pruner:[sorted(overall_direct_compression[pruner][sample]) for sample in range(args.num_samples)] for pruner in args.pruners_to_display}
inf_idxs_direct={pruner:[np.where(np.array(overall_direct_compression[pruner][sample])>1e20)[0][0] if sum([int(direct_compression>1e20) for direct_compression in overall_direct_compression[pruner][sample]])>0 else len(overall_direct_compression[pruner][sample]) for sample in range(args.num_samples)] for pruner in args.pruners_to_display}
for pruner in args.pruners_to_display:
means,mins,maxs,start_idx,end_idx=[],[],[],math.inf,len(ticks[pruner])
for tick_idx,tick in enumerate(ticks[pruner]):
curr_accs=[]
for sample in range(args.num_samples):
if len(np.where(np.array(overall_direct_compression[pruner][sample])<=tick)[0])>0:
start=np.where(np.array(overall_direct_compression[pruner][sample])<=tick)[0][-1]
start_idx=min([start_idx,tick_idx])
if start+1<inf_idxs_direct[pruner][sample]:
coeff_start=(tick-overall_direct_compression[pruner][sample][start])/(overall_direct_compression[pruner][sample][start+1]-overall_direct_compression[pruner][sample][start])
coeff_end=(overall_direct_compression[pruner][sample][start+1]-tick)/(overall_direct_compression[pruner][sample][start+1]-overall_direct_compression[pruner][sample][start])
curr_accs.append((accuracies_direct_sorted[pruner][sample][start]*coeff_end+accuracies_direct_sorted[pruner][sample][start+1]*coeff_start))
else:
curr_accs.append(random[args.architecture])
end_idx=min([end_idx,tick_idx])
else:
curr_accs.append(random[args.architecture])
end_idx=min([end_idx,tick_idx])
assert len(curr_accs)>0,"no accuracy data for given ticks."
mins.append(np.min(curr_accs))
means.append(np.mean(curr_accs))
maxs.append(np.max(curr_accs))
mins,means,maxs=np.array(mins),np.array(means),np.array(maxs)
ax.plot(ticks[pruner][start_idx:end_idx],means[start_idx:end_idx],zorder=3,color=color_map[pruner],linewidth=2.5,linestyle=linestyle_direct)
ax.fill_between(ticks[pruner][start_idx:end_idx],mins[start_idx:end_idx],maxs[start_idx:end_idx],color=color_map[pruner],zorder=3,alpha=0.3)
legend_elements+=[mpl.patches.Patch(facecolor=color_map[pruner],label=pruner_names[pruner])]
accuracies_effective_sorted={pruner:[accuracies[pruner][sample][overall_effective_compression[pruner][sample].argsort()] for sample in range(args.num_samples)] for pruner in args.pruners_to_display}
overall_effective_compression={pruner:[sorted(overall_effective_compression[pruner][sample]) for sample in range(args.num_samples)] for pruner in args.pruners_to_display}
inf_idxs_effective={pruner:[np.where(np.array(overall_effective_compression[pruner][sample])>1e20)[0][0] if sum([int(effective_compression>1e20) for effective_compression in overall_effective_compression[pruner][sample]])>0 else len(overall_effective_compression[pruner][sample]) for sample in range(args.num_samples)] for pruner in args.pruners_to_display}
for pruner in args.pruners_to_display:
means,mins,maxs,start_idx,end_idx=[],[],[],math.inf,len(ticks[pruner])
for tick_idx,tick in enumerate(ticks[pruner]):
curr_accs=[]
for sample in range(args.num_samples):
if len(np.where(np.array(overall_effective_compression[pruner][sample])<=tick)[0])>0:
start=np.where(np.array(overall_effective_compression[pruner][sample])<=tick)[0][-1]
start_idx=min([start_idx,tick_idx])
if start+1<inf_idxs_effective[pruner][sample]:
coeff_start=(tick-overall_effective_compression[pruner][sample][start])/(overall_effective_compression[pruner][sample][start+1]-overall_effective_compression[pruner][sample][start])
coeff_end=(overall_effective_compression[pruner][sample][start+1]-tick)/(overall_effective_compression[pruner][sample][start+1]-overall_effective_compression[pruner][sample][start])
curr_accs.append((accuracies_effective_sorted[pruner][sample][start]*coeff_end+accuracies_effective_sorted[pruner][sample][start+1]*coeff_start))
else:
curr_accs.append(random[args.architecture])
end_idx=min([end_idx,tick_idx])
else:
curr_accs.append(random[args.architecture])
end_idx=min([end_idx,tick_idx])
assert len(curr_accs)>0,"no accuracy data for given ticks."
mins.append(np.min(curr_accs))
means.append(np.mean(curr_accs))
maxs.append(np.max(curr_accs))
ax.scatter(overall_effective_compression[pruner][sample],accuracies_effective_sorted[pruner][sample],color=color_map[pruner],zorder=3,s=25,alpha=0.3)
mins,means,maxs=np.array(mins),np.array(means),np.array(maxs)
ax.plot(ticks[pruner][start_idx:end_idx],means[start_idx:end_idx],zorder=3,color=color_map[pruner],linewidth=2.5,linestyle=linestyle_effective)
ax.fill_between(ticks[pruner][start_idx:end_idx],mins[start_idx:end_idx],maxs[start_idx:end_idx],color=color_map[pruner],zorder=3,alpha=0.3)
ax.axhline(dense_mean,linestyle='solid',color='grey',zorder=3,linewidth=2.5)
ax.fill_between(plt.xlim(),dense_min,dense_max,color='grey',zorder=3,alpha=0.3)
legend_elements+=[mpl.lines.Line2D([0],[0],color='grey',linestyle='solid',label='Dense',linewidth=2.5)]
legend_elements+=[mpl.lines.Line2D([0],[0],color='k',linestyle='solid',label='vs. effective',linewidth=2.5)]
legend_elements+=[mpl.lines.Line2D([0],[0],color='k',linestyle='dashed',label='vs. direct',linewidth=2.5)]
ax.set_title(network_names[args.architecture],fontsize='medium')
ax.set_xlabel("Compression",fontsize='medium')
ax.set_ylabel(f"Top-1 test accuracy",fontsize='medium')
ax.tick_params(axis='both',labelsize='medium')
ax.legend(handles=legend_elements,loc='upper right',markerscale=1,fontsize='medium')
ax.set_xscale('log',base=10)
ax.grid(zorder=0,ls='dashed',alpha=0.6)
fig.tight_layout()
plt.savefig(os.path.join(args.out_path,args.architecture,'figures','accuracies.png'),dpi=600)
def compressions(args):
""" plots effective compression against target compression
"""
legend_elements=[]
compressions={pruner:set([]) for pruner in args.pruners_to_display}
load_prefix={pruner:os.path.join(args.out_path,args.architecture,pruner,args.pruning_type) for pruner in args.pruners_to_display}
for pruner in args.pruners_to_display:
for filename in os.listdir(load_prefix[pruner]):
if os.path.isfile(os.path.join(load_prefix[pruner],filename)):
compression=int(filename.split('_')[1])
if '.npy' in filename:
compressions[pruner].add(compression)
compressions={pruner:sorted(list(compressions[pruner])) for pruner in args.pruners_to_display}
counts=np.load(os.path.join(args.out_path,args.architecture,'dense','counts.npy'))
effective_sparsities={pruner:np.array([[np.load(os.path.join(load_prefix[pruner],f'{sample}_{compression}_sparsities_effective_{args.effective_type}.npy')) for compression in compressions[pruner]] for sample in range(args.num_samples)]) for pruner in args.pruners_to_display}
overall_effective_sparsity={pruner:np.array([[sum([sparsity*count for sparsity,count in zip(effective_sparsities[pruner][sample][level],counts)])/sum(counts) for level in range(len(compressions[pruner]))] for sample in range(args.num_samples)]) for pruner in args.pruners_to_display}
overall_effective_compression={pruner:1./(1-overall_effective_sparsity[pruner]) for pruner in args.pruners_to_display}
inf_idxs_effective={pruner:np.array([np.where(np.array(overall_effective_compression[pruner][sample])>1e20)[0][0] if sum([int(effective_compression>1e20) for effective_compression in overall_effective_compression[pruner][sample]])>0 else len(overall_effective_compression[pruner][sample]) for sample in range(args.num_samples)]) for pruner in args.pruners_to_display}
overall_effective_compression={pruner:overall_effective_compression[pruner][inf_idxs_effective[pruner].argsort()[-args.num_samples//2:]] for pruner in args.pruners_to_display}
overall_effective_compression_min={pruner:np.min(overall_effective_compression[pruner],axis=0) for pruner in args.pruners_to_display}
overall_effective_compression_mean={pruner:np.mean(overall_effective_compression[pruner],axis=0) for pruner in args.pruners_to_display}
overall_effective_compression_max={pruner:np.max(overall_effective_compression[pruner],axis=0) for pruner in args.pruners_to_display}
inf_idxs_effective={pruner:min([np.where(np.array(overall_effective_compression[pruner][sample])>1e20)[0][0] if sum([int(effective_compression>1e20) for effective_compression in overall_effective_compression[pruner][sample]])>0 else len(overall_effective_compression[pruner][sample]) for sample in range(args.num_samples//2+int(args.num_samples>2))]) for pruner in args.pruners_to_display}
for pruner in args.pruners_to_display:
ax.plot(compressions[pruner][:inf_idxs_effective[pruner]],overall_effective_compression_mean[pruner][:inf_idxs_effective[pruner]],color=color_map[pruner],linewidth=2.5)
ax.fill_between(compressions[pruner][:inf_idxs_effective[pruner]],overall_effective_compression_min[pruner][:inf_idxs_effective[pruner]],overall_effective_compression_max[pruner][:inf_idxs_effective[pruner]],color=color_map[pruner],alpha=0.3)
legend_elements+=[mpl.patches.Patch(facecolor=color_map[pruner],label=pruner_names[pruner])]
ax.set_title(network_names[args.architecture],fontsize='medium')
ax.set_xlabel(f"Target compression ({args.pruning_type} pruning)",fontsize='medium')
ax.set_ylabel(f"Effective compression",fontsize='medium')
ax.tick_params(axis='both',labelsize='medium')
ax.legend(handles=legend_elements,loc='lower right',markerscale=1,fontsize='medium')
ax.set_xscale('log',base=10)
ax.set_yscale('log',base=10)
ax.grid(zorder=0,ls='dashed',alpha=0.6)
fig.tight_layout()
plt.savefig(os.path.join(args.out_path,args.architecture,'figures','compressions.png'),dpi=600)
if args.plot_type=='accuracies':
accuracies(args)
if args.plot_type=='compressions':
compressions(args)
print(f'<visualzation> plot saved to {os.path.join(args.out_path,args.architecture,"figures")}')
| 96.941176 | 393 | 0.741141 | 2,313 | 16,480 | 5.089062 | 0.102464 | 0.045875 | 0.047575 | 0.043327 | 0.768924 | 0.750573 | 0.727041 | 0.685413 | 0.6725 | 0.63529 | 0 | 0.015433 | 0.111408 | 16,480 | 169 | 394 | 97.514793 | 0.788377 | 0.0071 | 0 | 0.46875 | 0 | 0.0125 | 0.142307 | 0.022515 | 0 | 0 | 0 | 0 | 0.0125 | 1 | 0.0125 | false | 0 | 0.0375 | 0 | 0.05 | 0.00625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
9a3a5b0bd84d4b2598b688c74fb811a629c5cf1c | 143 | py | Python | flowroutenumbersandmessaging/controllers/__init__.py | kevinhippert/flowroute-sdk-v3-python | a7c3f63f45668327f01970e820a192e0a80d6790 | [
"MIT"
] | 6 | 2018-03-07T20:11:06.000Z | 2021-11-21T16:11:18.000Z | flowroutenumbersandmessaging/controllers/__init__.py | kevinhippert/flowroute-sdk-v3-python | a7c3f63f45668327f01970e820a192e0a80d6790 | [
"MIT"
] | 6 | 2018-03-09T05:56:10.000Z | 2021-05-10T19:16:16.000Z | flowroutenumbersandmessaging/controllers/__init__.py | kevinhippert/flowroute-sdk-v3-python | a7c3f63f45668327f01970e820a192e0a80d6790 | [
"MIT"
] | 3 | 2018-05-08T17:55:33.000Z | 2020-05-22T17:19:58.000Z | __all__ = [
'base_controller',
'cdrs_controller',
'numbers_controller',
'routes_controller',
'messages_controller',
] | 20.428571 | 27 | 0.636364 | 11 | 143 | 7.454545 | 0.636364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.237762 | 143 | 7 | 28 | 20.428571 | 0.752294 | 0 | 0 | 0 | 0 | 0 | 0.608696 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
9a61fb8fce43766353ecd78e450f4a8f4dddaba2 | 866 | py | Python | tests/tools/bin2pat_test_tests.py | mehrdad-shokri/retdec-regression-tests-framework | 9c3edcd0a7bc292a0d5b5cbfb4315010c78d3bc3 | [
"MIT"
] | 21 | 2017-12-12T20:38:43.000Z | 2019-04-14T12:46:10.000Z | tests/tools/bin2pat_test_tests.py | mehrdad-shokri/retdec-regression-tests-framework | 9c3edcd0a7bc292a0d5b5cbfb4315010c78d3bc3 | [
"MIT"
] | 6 | 2018-01-06T13:32:23.000Z | 2018-09-14T15:09:11.000Z | tests/tools/bin2pat_test_tests.py | mehrdad-shokri/retdec-regression-tests-framework | 9c3edcd0a7bc292a0d5b5cbfb4315010c78d3bc3 | [
"MIT"
] | 11 | 2017-12-12T20:38:46.000Z | 2018-07-19T03:12:03.000Z | """
Tests for the :mod:`regression_tests.tools.bin2pat_test` module.
"""
import unittest
from unittest import mock
from regression_tests.tools.bin2pat import Bin2Pat
from regression_tests.tools.bin2pat_test import Bin2PatTest
from regression_tests.tools.bin2pat_test_settings import Bin2PatTestSettings
class Bin2PatTestTests(unittest.TestCase):
"""Tests for `Bin2PatTest`."""
def setUp(self):
self.bin2pat = mock.Mock(spec_set=Bin2Pat)
self.bin2pat.name = 'bin2pat'
# The following variable has to be set so that ToolTest.__getattr__()
# works correctly.
self.bin2pat.safe_name = self.bin2pat.name
def test_out_yara_returns_same_result_as_bin2pat_out_yara(self):
test = Bin2PatTest(self.bin2pat, Bin2PatTestSettings(input='mod.o'))
self.assertEqual(test.out_yara, test.bin2pat.out_yara)
| 33.307692 | 77 | 0.747113 | 110 | 866 | 5.654545 | 0.418182 | 0.088424 | 0.128617 | 0.173633 | 0.212219 | 0.11254 | 0 | 0 | 0 | 0 | 0 | 0.027586 | 0.162818 | 866 | 25 | 78 | 34.64 | 0.830345 | 0.202079 | 0 | 0 | 0 | 0 | 0.017831 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 1 | 0.153846 | false | 0 | 0.384615 | 0 | 0.615385 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
9a70977618e3f575be0c3a89b9637143fbe66a51 | 23 | py | Python | data_store/data/WarnoConfig/tests/__init__.py | ARM-DOE/warno | 231f0eb87fa3011133f361ebac780fc21d0968c6 | [
"BSD-3-Clause"
] | 4 | 2017-08-09T15:27:19.000Z | 2021-03-11T07:16:09.000Z | data_store/__init__.py | ARM-DOE/warno | 231f0eb87fa3011133f361ebac780fc21d0968c6 | [
"BSD-3-Clause"
] | null | null | null | data_store/__init__.py | ARM-DOE/warno | 231f0eb87fa3011133f361ebac780fc21d0968c6 | [
"BSD-3-Clause"
] | 2 | 2017-08-09T15:27:28.000Z | 2019-05-22T16:09:06.000Z | __author__ = 'hard505'
| 11.5 | 22 | 0.73913 | 2 | 23 | 6.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15 | 0.130435 | 23 | 1 | 23 | 23 | 0.5 | 0 | 0 | 0 | 0 | 0 | 0.304348 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d024b2f5edf62e26cbbf70f8935705397365e2f4 | 180 | py | Python | tests/conftest.py | deeprob-org/deeprob-kit | c46050eb8047dcfa0cc2420887624184c042e32e | [
"MIT"
] | 38 | 2021-09-27T11:39:23.000Z | 2022-02-09T15:33:44.000Z | tests/conftest.py | deeprob-org/deeprob-kit | c46050eb8047dcfa0cc2420887624184c042e32e | [
"MIT"
] | 14 | 2021-09-27T15:04:46.000Z | 2021-12-08T21:08:01.000Z | tests/conftest.py | deeprob-org/deeprob-kit | c46050eb8047dcfa0cc2420887624184c042e32e | [
"MIT"
] | 3 | 2021-09-30T08:05:06.000Z | 2022-01-02T04:44:19.000Z | import pytest
import numpy as np
import torch
@pytest.fixture(autouse=True)
def random_seed():
np.random.seed(42)
torch.manual_seed(42)
torch.set_grad_enabled(False)
| 16.363636 | 33 | 0.744444 | 28 | 180 | 4.642857 | 0.642857 | 0.153846 | 0.169231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026316 | 0.155556 | 180 | 10 | 34 | 18 | 0.828947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | true | 0 | 0.375 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
d056011f8336dc2a983b4a290773d5fc83671963 | 555 | py | Python | lec4.py | bprice5318/ia241-github-1 | b2295c4290e1673a863df0716068494d5e302f8b | [
"MIT"
] | null | null | null | lec4.py | bprice5318/ia241-github-1 | b2295c4290e1673a863df0716068494d5e302f8b | [
"MIT"
] | null | null | null | lec4.py | bprice5318/ia241-github-1 | b2295c4290e1673a863df0716068494d5e302f8b | [
"MIT"
] | null | null | null | '''
lec4
dict
tuple
'''
my_tuple = 'a','b','c','d','e'
print(my_tuple)
my_2nd_tuple= ('a','b','c','d','e')
print (my_2nd_tuple)
is_a_tuple= ('a',)
print ( type(is_a_tuple) )
print (my_tuple[1])
my_car = {
'color' : 'red',
'maker': 'toyota',
'year': 2015
}
print (my_car)
print (my_car ['color'])
print (my_car ['year'])
print (my_car.items())
print (my_car.keys())
print(my_car.values())
print(my_car.get('year'))
my_car ['model'] = 'Corolla'
print(my_car)
my_car ['year'] = 2020
print(my_car)
print ( len (my_car))
print
| 12.613636 | 35 | 0.596396 | 93 | 555 | 3.301075 | 0.311828 | 0.211726 | 0.29316 | 0.052117 | 0.110749 | 0.110749 | 0.110749 | 0.110749 | 0 | 0 | 0 | 0.02603 | 0.169369 | 555 | 43 | 36 | 12.906977 | 0.639913 | 0.027027 | 0 | 0.12 | 0 | 0 | 0.118421 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.6 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
d06f0ed4c57e06db2fd04820efbb9aafbd8653b2 | 294 | py | Python | Pacote Download/Apenas Testes Python/ex001.py | ItalloZoldyck/TestPython | e8c225291d89c002c3beb68673055a931e6836a2 | [
"MIT"
] | null | null | null | Pacote Download/Apenas Testes Python/ex001.py | ItalloZoldyck/TestPython | e8c225291d89c002c3beb68673055a931e6836a2 | [
"MIT"
] | null | null | null | Pacote Download/Apenas Testes Python/ex001.py | ItalloZoldyck/TestPython | e8c225291d89c002c3beb68673055a931e6836a2 | [
"MIT"
] | null | null | null | print('Olá, seja bem vindo ao meu site!')
print('Estarei lhe redirecionando para nosso sistema')
nome = input('Qual seu nome ?')
idade = input('Quantos anos você tem?')
print('É um grande prazer te conhecer,{}! você está bem velhio hein?! HAHA'.format(nome))
print('Como eu posso lhe ajudar?')
| 42 | 89 | 0.721088 | 47 | 294 | 4.510638 | 0.808511 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 294 | 6 | 90 | 49 | 0.84127 | 0 | 0 | 0 | 0 | 0 | 0.70068 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.666667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
d095e43566c7798955426dac5bc88baa83763912 | 184 | py | Python | mothpy/__init__.py | alexliberzonlab/mothpy | 6e0924b758201da988a3f4dac9559113fe695d20 | [
"MIT"
] | 2 | 2019-07-14T19:43:37.000Z | 2020-02-18T10:30:43.000Z | mothpy/__init__.py | alexliberzonlab/mothpy | 6e0924b758201da988a3f4dac9559113fe695d20 | [
"MIT"
] | 7 | 2019-05-08T21:07:30.000Z | 2021-11-17T18:37:19.000Z | mothpy/__init__.py | alexliberzonlab/mothpy | 6e0924b758201da988a3f4dac9559113fe695d20 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
mothpy - moth-inspired navigation models flying in `pompy` (Puff Odour-plume Model in Python)
@author: Noam Benelli and Alex Liberzon
"""
name = "mothpy"
| 20.444444 | 93 | 0.684783 | 25 | 184 | 5.04 | 0.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006536 | 0.168478 | 184 | 8 | 94 | 23 | 0.816993 | 0.858696 | 0 | 0 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d09df29400bd07a5f8f3a1633b9cd9beb186ad3e | 307 | py | Python | boucanpy/db/migrate/show.py | bbhunter/boucanpy | 7d2fb105e7b1e90653a511534fb878bb62d02f17 | [
"MIT"
] | 34 | 2019-11-16T17:22:15.000Z | 2022-02-11T23:12:46.000Z | boucanpy/db/migrate/show.py | bbhunter/boucanpy | 7d2fb105e7b1e90653a511534fb878bb62d02f17 | [
"MIT"
] | 1 | 2021-02-09T09:34:55.000Z | 2021-02-10T21:46:20.000Z | boucanpy/db/migrate/show.py | bbhunter/boucanpy | 7d2fb105e7b1e90653a511534fb878bb62d02f17 | [
"MIT"
] | 9 | 2019-11-18T22:18:07.000Z | 2021-02-08T13:23:51.000Z | from boucanpy.db.migrate.config import get_config
# late import of alembic because it destroys loggers
def show(directory=None, revision="head"):
from alembic import command
"""Show the revision denoted by the given symbol."""
config = get_config(directory)
command.show(config, revision)
| 30.7 | 56 | 0.749186 | 42 | 307 | 5.428571 | 0.619048 | 0.078947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166124 | 307 | 9 | 57 | 34.111111 | 0.890625 | 0.162866 | 0 | 0 | 0 | 0 | 0.019704 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.4 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
d09fd0a2e9651bf99c8db18e200a1afde00d92fd | 339 | py | Python | 02/client.py | asmodehn/caerbannog | 47bb1138190748041a4c0d02e522c0924a9af962 | [
"MIT"
] | 1 | 2019-01-22T20:57:45.000Z | 2019-01-22T20:57:45.000Z | 02/client.py | asmodehn/functional-python | 47bb1138190748041a4c0d02e522c0924a9af962 | [
"MIT"
] | 3 | 2019-03-14T17:33:39.000Z | 2019-03-14T18:09:42.000Z | 02/client.py | asmodehn/caerbannog | 47bb1138190748041a4c0d02e522c0924a9af962 | [
"MIT"
] | null | null | null | import time
import abstle
def triangle():
state = abstle.create()
dist = 200
abstle.move(dist, state)
abstle.left(120, state)
abstle.move(dist, state)
abstle.left(120, state)
abstle.move(dist, state)
if __name__ == '__main__':
triangle()
time.sleep(5) # hack to have the time to see something...
| 16.95 | 62 | 0.640118 | 46 | 339 | 4.543478 | 0.5 | 0.263158 | 0.200957 | 0.272727 | 0.444976 | 0.444976 | 0.444976 | 0.444976 | 0.444976 | 0.444976 | 0 | 0.03861 | 0.235988 | 339 | 19 | 63 | 17.842105 | 0.76834 | 0.120944 | 0 | 0.384615 | 0 | 0 | 0.027027 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.153846 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d0a1972f9f536800aa8574ae5b03b609a0230eb8 | 130 | py | Python | Bronze/Bronze_V/10807.py | masterTyper/baekjoon_solved_ac | b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c | [
"MIT"
] | null | null | null | Bronze/Bronze_V/10807.py | masterTyper/baekjoon_solved_ac | b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c | [
"MIT"
] | null | null | null | Bronze/Bronze_V/10807.py | masterTyper/baekjoon_solved_ac | b9ce14d9bdaa5b5b06735ad075fb827de9f44b9c | [
"MIT"
] | null | null | null | from collections import Counter
N = int(input())
nums = Counter(list(map(int, input().split())))
v = int(input())
print(nums[v]) | 18.571429 | 47 | 0.669231 | 20 | 130 | 4.35 | 0.65 | 0.275862 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.123077 | 130 | 7 | 48 | 18.571429 | 0.763158 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.2 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d0ac368b00652d0154611c23e25a88250aedf9f2 | 79 | py | Python | uplink/compat.py | lust4life/uplink | 44d7dcce1b40029e325c831c9e5683c41081c524 | [
"MIT"
] | 918 | 2017-10-20T10:47:40.000Z | 2022-03-27T19:10:21.000Z | uplink/compat.py | lust4life/uplink | 44d7dcce1b40029e325c831c9e5683c41081c524 | [
"MIT"
] | 248 | 2017-10-20T03:58:20.000Z | 2022-03-13T18:39:16.000Z | uplink/compat.py | lust4life/uplink | 44d7dcce1b40029e325c831c9e5683c41081c524 | [
"MIT"
] | 66 | 2017-10-21T02:56:34.000Z | 2022-02-15T08:27:50.000Z | # Third-party imports
import six
__all__ = ["reraise"]
reraise = six.reraise
| 11.285714 | 21 | 0.721519 | 10 | 79 | 5.3 | 0.7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.164557 | 79 | 6 | 22 | 13.166667 | 0.80303 | 0.240506 | 0 | 0 | 0 | 0 | 0.12069 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
d0baa01e34edffdfdd0b1242e871c3ddd8921c86 | 1,493 | py | Python | aiotdlib/api/types/sponsored_message.py | jraylan/aiotdlib | 4528fcfca7c5c69b54a878ce6ce60e934a2dcc73 | [
"MIT"
] | null | null | null | aiotdlib/api/types/sponsored_message.py | jraylan/aiotdlib | 4528fcfca7c5c69b54a878ce6ce60e934a2dcc73 | [
"MIT"
] | null | null | null | aiotdlib/api/types/sponsored_message.py | jraylan/aiotdlib | 4528fcfca7c5c69b54a878ce6ce60e934a2dcc73 | [
"MIT"
] | null | null | null | # =============================================================================== #
# #
# This file has been generated automatically!! Do not change this manually! #
# #
# =============================================================================== #
from __future__ import annotations
import typing
from pydantic import Field
from .internal_link_type import InternalLinkType
from .message_content import MessageContent
from ..base_object import BaseObject
class SponsoredMessage(BaseObject):
"""
Describes a sponsored message
:param id: Unique sponsored message identifier
:type id: :class:`int`
:param sponsor_chat_id: Chat identifier
:type sponsor_chat_id: :class:`int`
:param link: An internal link to be opened when the sponsored message is clicked; may be null. If null, the sponsor chat needs to be opened instead, defaults to None
:type link: :class:`InternalLinkType`, optional
:param content: Content of the message
:type content: :class:`MessageContent`
"""
ID: str = Field("sponsoredMessage", alias="@type")
id: int
sponsor_chat_id: int
link: typing.Optional[InternalLinkType] = None
content: MessageContent
@staticmethod
def read(q: dict) -> SponsoredMessage:
return SponsoredMessage.construct(**q)
| 33.931818 | 169 | 0.554588 | 140 | 1,493 | 5.814286 | 0.464286 | 0.054054 | 0.047912 | 0.036855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.276624 | 1,493 | 43 | 170 | 34.72093 | 0.753704 | 0.586738 | 0 | 0 | 1 | 0 | 0.039033 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.4 | 0.066667 | 0.933333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
d0ec6142a956bc833e018d53636a5c1bb3c3fc0a | 848 | py | Python | api/utils/responses.py | odbalogun/areavas-bl | bde6696e52cc1b1f780b26803f4071edcc6ca428 | [
"Apache-2.0"
] | null | null | null | api/utils/responses.py | odbalogun/areavas-bl | bde6696e52cc1b1f780b26803f4071edcc6ca428 | [
"Apache-2.0"
] | null | null | null | api/utils/responses.py | odbalogun/areavas-bl | bde6696e52cc1b1f780b26803f4071edcc6ca428 | [
"Apache-2.0"
] | null | null | null | from flask import make_response, jsonify
from .error_codes import ERROR_CODE_UNAUTHORIZED
JSON_MIME_TYPE = 'application/json'
def error(code, message):
return {
'code': code,
'error': message
}
def json_response(data = None, status = 200, headers = None):
headers = headers or {}
if 'Content-Type' not in headers:
headers['Content-Type'] = JSON_MIME_TYPE
if data:
payload = jsonify(data)
else:
payload = ''
return make_response(payload, status, headers)
def response_success(data=None, status=200):
return json_response(data=data, status=status)
def response_error(code, message, status=400):
return json_response(data=error(code, message), status=status)
def response_not_authorized():
return response_error(ERROR_CODE_UNAUTHORIZED, "Unauthorized", 401)
| 22.918919 | 71 | 0.696934 | 106 | 848 | 5.396226 | 0.311321 | 0.078671 | 0.083916 | 0.059441 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017725 | 0.201651 | 848 | 36 | 72 | 23.555556 | 0.827179 | 0 | 0 | 0 | 0 | 0 | 0.071934 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.217391 | false | 0 | 0.086957 | 0.173913 | 0.521739 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
1901300202425e97be7510d7375a2b665a025111 | 3,493 | py | Python | tests/test_surfaceconvectionalgorithminsideusercurve.py | marcelosalles/pyidf | c2f744211572b5e14e29522aac1421ba88addb0e | [
"Apache-2.0"
] | 19 | 2015-12-08T23:33:51.000Z | 2022-01-31T04:41:10.000Z | tests/test_surfaceconvectionalgorithminsideusercurve.py | marcelosalles/pyidf | c2f744211572b5e14e29522aac1421ba88addb0e | [
"Apache-2.0"
] | 2 | 2019-10-04T10:57:00.000Z | 2021-10-01T06:46:17.000Z | tests/test_surfaceconvectionalgorithminsideusercurve.py | marcelosalles/pyidf | c2f744211572b5e14e29522aac1421ba88addb0e | [
"Apache-2.0"
] | 7 | 2015-11-04T02:25:01.000Z | 2021-12-08T03:14:28.000Z | import os
import tempfile
import unittest
import logging
from pyidf import ValidationLevel
import pyidf
from pyidf.idf import IDF
from pyidf.advanced_construction import SurfaceConvectionAlgorithmInsideUserCurve
log = logging.getLogger(__name__)
class TestSurfaceConvectionAlgorithmInsideUserCurve(unittest.TestCase):
def setUp(self):
self.fd, self.path = tempfile.mkstemp()
def tearDown(self):
os.remove(self.path)
def test_create_surfaceconvectionalgorithminsideusercurve(self):
pyidf.validation_level = ValidationLevel.error
obj = SurfaceConvectionAlgorithmInsideUserCurve()
# alpha
var_name = "Name"
obj.name = var_name
# alpha
var_reference_temperature_for_convection_heat_transfer = "MeanAirTemperature"
obj.reference_temperature_for_convection_heat_transfer = var_reference_temperature_for_convection_heat_transfer
# object-list
var_hc_function_of_temperature_difference_curve_name = "object-list|Hc Function of Temperature Difference Curve Name"
obj.hc_function_of_temperature_difference_curve_name = var_hc_function_of_temperature_difference_curve_name
# object-list
var_hc_function_of_temperature_difference_divided_by_height_curve_name = "object-list|Hc Function of Temperature Difference Divided by Height Curve Name"
obj.hc_function_of_temperature_difference_divided_by_height_curve_name = var_hc_function_of_temperature_difference_divided_by_height_curve_name
# object-list
var_hc_function_of_air_change_rate_curve_name = "object-list|Hc Function of Air Change Rate Curve Name"
obj.hc_function_of_air_change_rate_curve_name = var_hc_function_of_air_change_rate_curve_name
# object-list
var_hc_function_of_air_system_volume_flow_rate_divided_by_zone_perimeter_length_curve_name = "object-list|Hc Function of Air System Volume Flow Rate Divided by Zone Perimeter Length Curve Name"
obj.hc_function_of_air_system_volume_flow_rate_divided_by_zone_perimeter_length_curve_name = var_hc_function_of_air_system_volume_flow_rate_divided_by_zone_perimeter_length_curve_name
idf = IDF()
idf.add(obj)
idf.save(self.path, check=False)
with open(self.path, mode='r') as f:
for line in f:
log.debug(line.strip())
idf2 = IDF(self.path)
self.assertEqual(idf2.surfaceconvectionalgorithminsideusercurves[0].name, var_name)
self.assertEqual(idf2.surfaceconvectionalgorithminsideusercurves[0].reference_temperature_for_convection_heat_transfer, var_reference_temperature_for_convection_heat_transfer)
self.assertEqual(idf2.surfaceconvectionalgorithminsideusercurves[0].hc_function_of_temperature_difference_curve_name, var_hc_function_of_temperature_difference_curve_name)
self.assertEqual(idf2.surfaceconvectionalgorithminsideusercurves[0].hc_function_of_temperature_difference_divided_by_height_curve_name, var_hc_function_of_temperature_difference_divided_by_height_curve_name)
self.assertEqual(idf2.surfaceconvectionalgorithminsideusercurves[0].hc_function_of_air_change_rate_curve_name, var_hc_function_of_air_change_rate_curve_name)
self.assertEqual(idf2.surfaceconvectionalgorithminsideusercurves[0].hc_function_of_air_system_volume_flow_rate_divided_by_zone_perimeter_length_curve_name, var_hc_function_of_air_system_volume_flow_rate_divided_by_zone_perimeter_length_curve_name) | 60.224138 | 255 | 0.818208 | 441 | 3,493 | 5.956916 | 0.176871 | 0.091359 | 0.109631 | 0.068519 | 0.749144 | 0.725542 | 0.700419 | 0.679863 | 0.653597 | 0.641035 | 0 | 0.004303 | 0.135127 | 3,493 | 58 | 255 | 60.224138 | 0.865276 | 0.016891 | 0 | 0 | 0 | 0 | 0.091015 | 0 | 0 | 0 | 0 | 0 | 0.142857 | 1 | 0.071429 | false | 0 | 0.190476 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
1908d44c3de17b95fa84f4eb323b529111f5c146 | 9,461 | py | Python | pyrobot1/pinmap.py | gtraines/robot1-rpi | 24c85f991a169c9b667e42e133b9ddea7301ea1d | [
"MIT"
] | null | null | null | pyrobot1/pinmap.py | gtraines/robot1-rpi | 24c85f991a169c9b667e42e133b9ddea7301ea1d | [
"MIT"
] | null | null | null | pyrobot1/pinmap.py | gtraines/robot1-rpi | 24c85f991a169c9b667e42e133b9ddea7301ea1d | [
"MIT"
] | null | null | null | from collections import namedtuple
from itertools import chain
class RowNames:
OUTER="outer"
INNER="inner"
class PinTypes:
GPIO="gpio"
POWER_5V="5V+"
POWER_3V3="3V3+"
GND="GND"
I2C="i2c"
EEPROM="EEPROM"
Pin = namedtuple("Pin", "coords, id, pin_type, special_func")
PinCoords = namedtuple("PinCoords", "row_name, pin_pair_num")
Row = namedtuple("Row", "row_name, pins")
Column = namedtuple("Column", "column_num, outer_pin, inner_pin")
class RPi3Pins:
def __init__(self):
pass
@staticmethod
def get_pins_by_type(pin_type):
query_results = []
for entry in chain.from_iterable([
RPi3Pins.outer_row().pins,
RPi3Pins.inner_row().pins
]):
if entry.pin_type == pin_type:
query_results.append(entry)
return query_results
@staticmethod
def get_pin_at(inner_or_outer, pair_index):
if inner_or_outer == RowNames.OUTER:
return RPi3Pins.outer_row().pins[pair_index]
if inner_or_outer == RowNames.INNER:
return RPi3Pins.inner_row().pins[pair_index]
@staticmethod
def outer_row():
return Row(row_name=RowNames.OUTER, pins=[
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=0),
id=None,
pin_type=PinTypes.POWER_5V,
special_func=None
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=1),
id=None,
pin_type=PinTypes.POWER_5V,
special_func=None
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=2),
id=None,
pin_type=PinTypes.GND,
special_func=None
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=3),
id=14,
pin_type=PinTypes.GPIO,
special_func="TXD0"
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=4),
id=15,
pin_type=PinTypes.GPIO,
special_func="RXD0"
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=5),
id=18,
pin_type=PinTypes.GPIO,
special_func="GPIO_GEN_1"
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=6),
id=None,
pin_type=PinTypes.GND,
special_func="GND"
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=7),
id=23,
pin_type=PinTypes.GPIO,
special_func="GPIO_GEN_4"
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=8),
id=24,
pin_type=PinTypes.GPIO,
special_func="GPIO_GEN_5"
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=9),
id=None,
pin_type=PinTypes.GND,
special_func="GND"
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=10),
id=25,
pin_type=PinTypes.GPIO,
special_func="GPIO_GEN_6"
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=11),
id=8,
pin_type=PinTypes.GPIO,
special_func="SPI_CE0_N"
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=12),
id=7,
pin_type=PinTypes.GPIO,
special_func="SPI_CE1_N"
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=13),
id=0,
pin_type=PinTypes.EEPROM,
special_func="I2C EEPROM ID_SC"
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=14),
id=None,
pin_type=PinTypes.GND,
special_func="GND"
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=15),
id=12,
pin_type=PinTypes.GPIO,
special_func=None
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=16),
id=None,
pin_type=PinTypes.GND,
special_func="GND"
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=17),
id=16,
pin_type=PinTypes.GPIO,
special_func=None
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=18),
id=20,
pin_type=PinTypes.GPIO,
special_func=None
),
Pin(
coords=PinCoords(row_name=RowNames.OUTER, pin_pair_num=19),
id=21,
pin_type=PinTypes.GPIO,
special_func=None
)
])
@staticmethod
def inner_row():
return Row(row_name=RowNames.INNER, pins=[
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=0),
id=None,
pin_type=PinTypes.POWER_3V3,
special_func=None
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=1),
id=2,
pin_type=PinTypes.GPIO,
special_func=None
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=2),
id=3,
pin_type=PinTypes.GND,
special_func=None
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=3),
id=4,
pin_type=PinTypes.GPIO,
special_func="GPIO_GCLK"
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=4),
id=None,
pin_type=PinTypes.GND,
special_func="GND"
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=5),
id=17,
pin_type=PinTypes.GPIO,
special_func="GPIO_GEN_0"
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=6),
id=27,
pin_type=PinTypes.GPIO,
special_func="GPIO_GEN2"
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=7),
id=22,
pin_type=PinTypes.GPIO,
special_func="GPIO_GEN_3"
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=8),
id=None,
pin_type=PinTypes.POWER_3V3,
special_func="3V3"
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=9),
id=10,
pin_type=PinTypes.GPIO,
special_func="SPI_MOSI"
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=10),
id=9,
pin_type=PinTypes.GPIO,
special_func="SPI_MISO"
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=11),
id=11,
pin_type=PinTypes.GPIO,
special_func="SPI_CLK"
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=12),
id=None,
pin_type=PinTypes.GND,
special_func="GND"
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=13),
id=0,
pin_type=PinTypes.EEPROM,
special_func="I2C EEPROM ID_SD"
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=14),
id=5,
pin_type=PinTypes.GPIO,
special_func=None
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=15),
id=6,
pin_type=PinTypes.GPIO,
special_func=None
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=16),
id=13,
pin_type=PinTypes.GPIO,
special_func=None
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=17),
id=19,
pin_type=PinTypes.GPIO,
special_func=None
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=18),
id=26,
pin_type=PinTypes.GPIO,
special_func=None
),
Pin(
coords=PinCoords(row_name=RowNames.INNER, pin_pair_num=19),
id=None,
pin_type=PinTypes.GND,
special_func="GND"
)
])
def print_pins():
rpi_pins = RPi3Pins()
longwise_pins = zip(rpi_pins.inner_row().pins, rpi_pins.outer_row().pins)
print(' Power light ^^ ')
def pin_as_string(pin):
pin_id = str(pin.id)
special_func = ']\t\t\t'
if pin.special_func is not None:
special_func = '(' + pin.special_func + ')]\t\t'
return '[' + pin_id + ': ' + pin.pin_type + special_func
for echelon in longwise_pins:
print(echelon[0].coords.pin_pair_num, '\t',
pin_as_string(echelon[0]),
pin_as_string(echelon[1]))
print()
print(' USB Connectors ')
if __name__ == '__main__':
print_pins()
| 29.291022 | 77 | 0.532502 | 1,085 | 9,461 | 4.363134 | 0.100461 | 0.106886 | 0.08872 | 0.17744 | 0.772919 | 0.740811 | 0.71673 | 0.645543 | 0.597381 | 0.58027 | 0 | 0.023948 | 0.364444 | 9,461 | 323 | 78 | 29.291022 | 0.763346 | 0 | 0 | 0.531561 | 0 | 0 | 0.042063 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.023256 | false | 0.003322 | 0.006645 | 0.006645 | 0.086379 | 0.019934 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ef774b736844f0f67bcae7c911911a8e0b196be7 | 311 | py | Python | rest_api/models.py | aop4/heroku-django-REST-template | f5e7ec845c957938101fc59b3f1df166fd8649a6 | [
"MIT"
] | null | null | null | rest_api/models.py | aop4/heroku-django-REST-template | f5e7ec845c957938101fc59b3f1df166fd8649a6 | [
"MIT"
] | null | null | null | rest_api/models.py | aop4/heroku-django-REST-template | f5e7ec845c957938101fc59b3f1df166fd8649a6 | [
"MIT"
] | null | null | null | from django.db import models
from django.conf import settings
from shortuuidfield import ShortUUIDField
# A useless example model
class Student(models.Model):
uuid = ShortUUIDField(editable=False)
name = models.CharField(max_length=100, default="")
def __str__(self):
return 'Student: ' + self.name
| 19.4375 | 52 | 0.765273 | 40 | 311 | 5.825 | 0.675 | 0.085837 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011278 | 0.144695 | 311 | 15 | 53 | 20.733333 | 0.864662 | 0.073955 | 0 | 0 | 0 | 0 | 0.031802 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.375 | 0.125 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 3 |
ef8ddc46e498a265a4cb84e15757fc2d19cedbfe | 237 | py | Python | testsuite/MaterialX/mx_absval/mx_absval_vector2/run.py | FrankFirsching/OpenShadingLanguage | 2789d4345a2865af669c8b3bb402a5bff9faf927 | [
"BSD-3-Clause"
] | 2 | 2019-10-05T20:01:05.000Z | 2021-07-29T19:28:18.000Z | testsuite/MaterialX/mx_absval/mx_absval_vector2/run.py | brechtvl/OpenShadingLanguage | 71c4fb263fcdc88decf2b86d346836f7a2b4d463 | [
"BSD-3-Clause"
] | null | null | null | testsuite/MaterialX/mx_absval/mx_absval_vector2/run.py | brechtvl/OpenShadingLanguage | 71c4fb263fcdc88decf2b86d346836f7a2b4d463 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
import os
loc = os.environ["OSLHOME"] + os.environ["MATERIALX_OSOS"]+ "/"
command = testshade("--print -param:type=float in.x -0.1 -param:type=float in.y -0.2 %smx_absval_vector2 -o out mx.exr") %loc
command = None | 47.4 | 126 | 0.696203 | 41 | 237 | 3.95122 | 0.756098 | 0.111111 | 0.17284 | 0.197531 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02381 | 0.113924 | 237 | 5 | 127 | 47.4 | 0.747619 | 0.084388 | 0 | 0 | 0 | 0.25 | 0.552995 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.25 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
efb9feda726b81d94b342ae16af4ec9f189b0c61 | 537 | py | Python | sockfilter/real.py | cardforcoin/sockfilter | 431249e1351055e35e6411a695f9bab3bdaba0f6 | [
"MIT"
] | 1 | 2015-07-10T06:43:47.000Z | 2015-07-10T06:43:47.000Z | sockfilter/real.py | thesis/sockfilter | 431249e1351055e35e6411a695f9bab3bdaba0f6 | [
"MIT"
] | 1 | 2015-03-19T18:56:51.000Z | 2015-03-19T19:00:51.000Z | sockfilter/real.py | thesis/sockfilter | 431249e1351055e35e6411a695f9bab3bdaba0f6 | [
"MIT"
] | 2 | 2017-06-16T17:05:23.000Z | 2017-06-16T17:05:42.000Z | __all__ = ['restore', 'socket', 'socks', 'socket__socket']
import socket
socket__socket = socket.socket
socks__socksocket = None
try:
import socks
socks__socksocket = socks.socksocket
except ImportError:
socks = None
from .util import apply_attr_and_dict
def restore():
apply_attr_and_dict(socket, 'socket', socket__socket)
apply_attr_and_dict(socket, 'SocketType', socket__socket)
apply_attr_and_dict(socket, '_socketobject', socket__socket)
apply_attr_and_dict(socks, 'socksocket', socks__socksocket)
| 24.409091 | 64 | 0.763501 | 67 | 537 | 5.58209 | 0.283582 | 0.320856 | 0.240642 | 0.213904 | 0.315508 | 0.256684 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0.143389 | 537 | 21 | 65 | 25.571429 | 0.813043 | 0 | 0 | 0 | 0 | 0 | 0.132216 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.266667 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
efbf35de402e69c6a3c11a516ea2acb88491a5fc | 334 | py | Python | unit_tests/gui_tester.py | ISoirar/pypp11 | 7f929064766a48d9cb3f3b29c93fdc938b83bac5 | [
"BSL-1.0"
] | 9 | 2016-06-07T19:14:53.000Z | 2020-02-28T09:06:19.000Z | unit_tests/gui_tester.py | ISoirar/pypp11 | 7f929064766a48d9cb3f3b29c93fdc938b83bac5 | [
"BSL-1.0"
] | 1 | 2018-08-15T11:33:40.000Z | 2018-08-15T11:33:40.000Z | unit_tests/gui_tester.py | ISoirar/pypp11 | 7f929064766a48d9cb3f3b29c93fdc938b83bac5 | [
"BSL-1.0"
] | 5 | 2016-06-23T09:37:00.000Z | 2019-12-18T13:51:29.000Z | # Copyright 2004-2008 Roman Yakovenko.
# Distributed under the Boost Software License, Version 1.0. (See
# accompanying file LICENSE_1_0.txt or copy at
# http://www.boost.org/LICENSE_1_0.txt)
import os
import sys
import unittest
import autoconfig
from pyplusplus import gui
if __name__ == "__main__":
gui.show_demo() | 25.692308 | 66 | 0.745509 | 50 | 334 | 4.72 | 0.74 | 0.025424 | 0.076271 | 0.101695 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.050725 | 0.173653 | 334 | 13 | 67 | 25.692308 | 0.804348 | 0.547904 | 0 | 0 | 0 | 0 | 0.059259 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.714286 | 0 | 0.714286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
efcce3ec5e0dfe4337cd3ff74728af38403ba45d | 3,872 | py | Python | tests/viz/api/test_smoke.py | vshulyak/ts-eval | 2049b1268cf4272f5fa1471851523f8da14dd84c | [
"MIT"
] | 1 | 2021-07-12T08:58:07.000Z | 2021-07-12T08:58:07.000Z | tests/viz/api/test_smoke.py | vshulyak/ts-eval | 2049b1268cf4272f5fa1471851523f8da14dd84c | [
"MIT"
] | null | null | null | tests/viz/api/test_smoke.py | vshulyak/ts-eval | 2049b1268cf4272f5fa1471851523f8da14dd84c | [
"MIT"
] | null | null | null | import pytest
from ts_eval.viz import metrics, time_slices
from ts_eval.viz.api import ts_inspect_2d, ts_inspect_3d
from ts_eval.viz.data_containers import xr_3d_factory
HOLIDAY_TEST_LOCATION = dict(country="DE", prov="BW")
def test_api__smoke(dataset_2d, dataset_3d):
dataset_3d_naive = dataset_3d - 1
dataset_3d_2 = dataset_3d + 1
start_date = "2000-01-02"
freq = "H"
(
ts_inspect_3d(
dataset_2d, dataset_3d, dataset_3d_2, start_date=start_date, freq=freq
)
.use_reference(
xr_3d_factory(dataset_3d_naive, start_date=start_date, freq=freq)
)
.for_horizons(0, 1, 5, 23)
.for_time_slices(
time_slices.all,
# time_slices.weekend,
# time_slices.mk_holiday(**HOLIDAY_TEST_LOCATION),
)
.with_description()
.with_metrics(metrics.FVrMSE, metrics.FVrMAE, metrics.FVrMIS)
.with_predictions_plot()
.show()
._repr_html_()
)
def test_api__missing_reference_prediction(dataset_2d):
dataset_2d_2 = dataset_2d + 1
start_date = "2000-01-02"
freq = "H"
with pytest.raises(AssertionError):
(
ts_inspect_2d(dataset_2d, dataset_2d_2, start_date=start_date, freq=freq)
.with_metrics(metrics.rMSE)
.show()
._repr_html_()
)
def test_api__missing_conf_int(dataset_2d):
dataset_2d_2 = dataset_2d + 1
start_date = "2000-01-02"
freq = "H"
with pytest.raises(AssertionError):
(
ts_inspect_2d(dataset_2d, dataset_2d_2, start_date=start_date, freq=freq)
.with_metrics(metrics.MIS)
.show()
._repr_html_()
)
def test_api__without_reference(dataset_2d):
dataset_2d_2 = dataset_2d + 1
start_date = "2000-01-02"
freq = "H"
(
ts_inspect_2d(dataset_2d, dataset_2d_2, start_date=start_date, freq=freq)
.with_metrics(metrics.MSE)
.show()
._repr_html_()
)
def test_api__slices(dataset_2d, dataset_3d):
start_date = "2000-01-02"
freq = "H"
(
ts_inspect_3d(dataset_2d, dataset_3d, start_date=start_date, freq=freq)
.for_horizons(0, 1, 5, 23)
.for_time_slices(time_slices.all, time_slices.weekend)
.with_description()
.with_metrics(metrics.MSE, metrics.MIS)
.with_predictions_plot()
.show()
._repr_html_()
)
def test_api__multic_omparison_smoke(dataset_2d, dataset_3d):
dataset_3d_naive = dataset_3d - 1
dataset_3d_2 = dataset_3d + 1
start_date = "2000-01-02"
freq = "H"
(
ts_inspect_3d(
dataset_2d, dataset_3d, dataset_3d_2, start_date=start_date, freq=freq
)
.use_reference(
xr_3d_factory(dataset_3d_naive, start_date=start_date, freq=freq)
)
.for_horizons(0, 1, 5, 23)
.for_time_slices(time_slices.all, time_slices.weekend)
.with_prediction_rankings(metrics.MSE, metrics.rMSE, metrics.FVrMSE)
.show()
._repr_html_()
)
def test_api__custom_names(dataset_2d, dataset_3d):
start_date = "2000-01-02"
freq = "H"
preds = [dataset_3d, dataset_3d, dataset_3d, dataset_3d]
with pytest.raises(AssertionError):
(
ts_inspect_3d(dataset_2d, *preds, start_date=start_date, freq=freq)
.for_horizons(0, 1, 5, 23)
.for_time_slices(time_slices.all)
.names("1", "2")
.with_description()
.show()
._repr_html_()
)
(
ts_inspect_3d(dataset_2d, *preds, start_date=start_date, freq=freq)
.for_horizons(0, 1, 5, 23)
.for_time_slices(time_slices.all)
.names(*map(str, range(len(preds))))
.with_description()
.show()
._repr_html_()
)
| 25.986577 | 85 | 0.619318 | 507 | 3,872 | 4.299803 | 0.153846 | 0.111468 | 0.095413 | 0.082569 | 0.803211 | 0.75 | 0.68945 | 0.672936 | 0.672936 | 0.635321 | 0 | 0.057021 | 0.27531 | 3,872 | 148 | 86 | 26.162162 | 0.719886 | 0.01782 | 0 | 0.60177 | 0 | 0 | 0.021842 | 0 | 0 | 0 | 0 | 0 | 0.026549 | 1 | 0.061947 | false | 0 | 0.035398 | 0 | 0.097345 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
eff8d4fdb4c04038eb2e4629eee264511e5c597d | 234 | py | Python | exercicios_python_brasil/estrutura_sequencial/03_soma_dois_valores.py | MartinaLima/Python | 94dee598bd799cfe8de4c6369cea84e97e5ed024 | [
"MIT"
] | null | null | null | exercicios_python_brasil/estrutura_sequencial/03_soma_dois_valores.py | MartinaLima/Python | 94dee598bd799cfe8de4c6369cea84e97e5ed024 | [
"MIT"
] | null | null | null | exercicios_python_brasil/estrutura_sequencial/03_soma_dois_valores.py | MartinaLima/Python | 94dee598bd799cfe8de4c6369cea84e97e5ed024 | [
"MIT"
] | null | null | null | print('POR FAVOR, INFORME DOIS VALORES!')
n1 = int(input('VALOR 1: '))
n2 = int(input('VALOR 2: '))
print('_'*40)
print('\033[1:33m{:^40}'.format('RESULTADO'))
print(f'\033[m>>> A soma de {n1} e {n2} é igual a \033[1m{n1+n2}.')
| 33.428571 | 68 | 0.589744 | 42 | 234 | 3.261905 | 0.642857 | 0.116788 | 0.189781 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.125 | 0.145299 | 234 | 6 | 69 | 39 | 0.56 | 0 | 0 | 0 | 0 | 0.166667 | 0.583333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.666667 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
5600eb0b06b6eba9803bc8dfc37330ed58ab0537 | 2,805 | py | Python | monitor/portal/models.py | zbonce/PromAnsible | 3dd98b535040e5758236159fb1028705d05d130d | [
"Apache-2.0"
] | 210 | 2018-04-23T04:09:52.000Z | 2022-03-23T06:40:20.000Z | monitor/portal/models.py | zbonce/PromAnsible | 3dd98b535040e5758236159fb1028705d05d130d | [
"Apache-2.0"
] | 16 | 2018-04-22T12:58:07.000Z | 2021-04-29T06:37:05.000Z | monitor/portal/models.py | zbonce/PromAnsible | 3dd98b535040e5758236159fb1028705d05d130d | [
"Apache-2.0"
] | 98 | 2018-04-23T03:26:20.000Z | 2021-12-21T07:54:09.000Z | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
# Create your models here.
# system parameters
class mn_DeviceType(models.Model):
type_name = models.CharField(max_length=30)
class mn_ServerGroup(models.Model):
group_name = models.CharField(max_length=30)
listen_port= models.IntegerField(default=9100)
class mn_OSTypes(models.Model):
# Windows: Windows XP, Windows 7, Windows 2003, Windows 2008, Windows 2012
# Linux: Ubuntu, Ubuntu_64, redhat, centos, etc
ostype = models.CharField(max_length=30)
# network device
class mn_NetDevices(models.Model):
device_type = models.CharField(max_length=30)
device_ip = models.CharField(max_length=30)
device_mac = models.CharField(max_length=30)
memo = models.CharField(max_length=300, default="please add some description here")
# computing servers
class mn_Servers(models.Model):
sip = models.CharField(max_length=30)
smac = models.CharField(max_length=30)
sostype = models.CharField(max_length=30)
smodel = models.CharField(max_length=100)
sgroup1 = models.CharField(max_length=50)
sgroup2 = models.CharField(max_length=50)
sgroup3 = models.CharField(max_length=50)
sgroup4 = models.CharField(max_length=50)
sadmin = models.CharField(max_length=30)
spasswd = models.CharField(max_length=30)
memo = models.CharField(max_length=300, default="please add some description here")
# enterprise wechat
class mn_Enterprise_wechat(models.Model):
corp_id = models.CharField(max_length=100)
app_secret = models.CharField(max_length=100)
app_id = models.IntegerField(default=0)
# alert message to these user ids, a json list
user_ids = models.CharField(max_length=300)
# ansible parameters
class mn_Ansible_git_para(models.Model):
git_url = models.CharField(max_length=300)
git_pubkey = models.CharField(max_length=300)
git_prvkey = models.CharField(max_length=300)
class mn_Ansible_action(models.Model):
# action_name is the playbook roles
action_name = models.CharField(max_length=30)
action_desc = models.CharField(max_length=300)
class mn_alert2action(models.Model):
alert_name = models.CharField(max_length=30)
# actions'name is a json list
alert_actions = models.CharField(max_length=300)
class mn_routine_op_history(models.Model):
action_name = models.CharField(max_length=30)
group_name = models.CharField(max_length=100)
target_name = models.CharField(max_length=100)
invoke_times = models.IntegerField(default=0)
class mn_routine_crob_job(models.Model):
action_name = models.CharField(max_length=30)
target_name = models.CharField(max_length=100)
cron_paras = models.CharField(max_length=100)
| 35.506329 | 90 | 0.745455 | 384 | 2,805 | 5.226563 | 0.291667 | 0.254111 | 0.304933 | 0.406577 | 0.558047 | 0.401096 | 0.244145 | 0.138515 | 0.138515 | 0.091679 | 0 | 0.046571 | 0.157932 | 2,805 | 78 | 91 | 35.961538 | 0.803133 | 0.129768 | 0 | 0.14 | 0 | 0 | 0.026359 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.02 | 0.04 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ef0718a97b61e29ded49fd5611a347e31e1691d3 | 101 | py | Python | kolibri_app_desktop_xdg_plugin/__init__.py | endlessm/kolibri-app-desktop-xdg-plugin | eb9f710f9dcf3604024004931407151a224b1ee2 | [
"MIT"
] | null | null | null | kolibri_app_desktop_xdg_plugin/__init__.py | endlessm/kolibri-app-desktop-xdg-plugin | eb9f710f9dcf3604024004931407151a224b1ee2 | [
"MIT"
] | 6 | 2021-03-15T23:51:34.000Z | 2021-09-29T00:21:53.000Z | kolibri_app_desktop_xdg_plugin/__init__.py | endlessm/kolibri-app-desktop-xdg-plugin | eb9f710f9dcf3604024004931407151a224b1ee2 | [
"MIT"
] | null | null | null | __version__ = "1.1.4"
default_app_config = "kolibri_app_desktop_xdg_plugin.apps.AppDesktopXDGConfig"
| 33.666667 | 78 | 0.841584 | 14 | 101 | 5.357143 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.031579 | 0.059406 | 101 | 2 | 79 | 50.5 | 0.757895 | 0 | 0 | 0 | 0 | 0 | 0.594059 | 0.544554 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
ef0dc0cd65d8b401a310654cb6fd4ece56538acd | 403 | py | Python | lib/config/factory.py | dev1x-org/python-example | ad6b100d87d1ba8d5b77f160854dd3c387ded222 | [
"MIT"
] | null | null | null | lib/config/factory.py | dev1x-org/python-example | ad6b100d87d1ba8d5b77f160854dd3c387ded222 | [
"MIT"
] | null | null | null | lib/config/factory.py | dev1x-org/python-example | ad6b100d87d1ba8d5b77f160854dd3c387ded222 | [
"MIT"
] | null | null | null | #coding:utf-8
class ConfigFactory(object):
@staticmethod
def createSystemConfig():
from system import SystemConfig
return SystemConfig()
@staticmethod
def createViewConfig():
from view import ViewConfig
return ViewConfig()
@staticmethod
def createTemplateConfig():
from template import TemplateConfig
return TemplateConfig()
| 23.705882 | 43 | 0.672457 | 33 | 403 | 8.212121 | 0.606061 | 0.166052 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00339 | 0.26799 | 403 | 16 | 44 | 25.1875 | 0.915254 | 0.029777 | 0 | 0.230769 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | true | 0 | 0.230769 | 0 | 0.769231 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
ef3f0cba5ec724334c69a55e4dff34c018e35357 | 2,351 | py | Python | tests/conftest.py | pacdao/bonus-nft | a4a6dfa590dc2356eaf1172a499cf28f4fc9d692 | [
"MIT"
] | null | null | null | tests/conftest.py | pacdao/bonus-nft | a4a6dfa590dc2356eaf1172a499cf28f4fc9d692 | [
"MIT"
] | null | null | null | tests/conftest.py | pacdao/bonus-nft | a4a6dfa590dc2356eaf1172a499cf28f4fc9d692 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import pytest
from brownie import Contract, PACDaoBonus1
@pytest.fixture(scope="function", autouse=True)
def isolate(fn_isolation):
# perform a chain rewind after completing each test, to ensure proper isolation
# https://eth-brownie.readthedocs.io/en/v1.10.3/tests-pytest-intro.html#isolation-fixtures
pass
@pytest.fixture(scope="function")
def founder_token(nft):
return Contract(nft.tokenAddrs()[0])
@pytest.fixture(scope="function")
def action_token(nft):
return Contract(nft.tokenAddrs()[1])
@pytest.fixture(scope="function")
def alice(founder_token, accounts):
return accounts.at(founder_token.ownerOf(1), force=True)
@pytest.fixture(scope="function")
def bob(action_token, accounts):
return accounts.at(action_token.ownerOf(1), force=True)
@pytest.fixture(scope="function")
def charlie(accounts):
return accounts[2]
@pytest.fixture(scope="session")
def owner(accounts):
return accounts[0]
@pytest.fixture(scope="module")
def nft(owner):
tokens = [
"0x63994B223F01b943eFf986b1B379312508dc15F8", # Founder
"0xE60A7825A80509DE847Ffe30ce2936dfc770DB6b", # Common
"0xb198936708ef94f494a4e753c44dcf8691cf7b87", # Uncommon
"0xd56c12efd06252f1f0098a8fe517da286245c0a8", # Rare
"0x3459cfce9c0306eb1d5d0e2b78144c9fbd94c87b", # Gov
]
return PACDaoBonus1.deploy(owner, tokens, {"from": owner})
@pytest.fixture(scope="function")
def nft_minted(nft, alice, bob):
nft.mint({"from": alice})
nft.mint({"from": bob})
return nft
@pytest.fixture(scope="function")
def nft_funded(nft, accounts):
accounts[1].transfer(nft, 10 ** 18)
return nft
@pytest.fixture(scope="function")
def beneficiary(nft, accounts):
return accounts.at(nft.beneficiary(), force=True)
@pytest.fixture(scope="module")
def gov_addr():
return "0x3459cfce9c0306eb1d5d0e2b78144c9fbd94c87b"
@pytest.fixture(scope="function")
def nft_gov(nft, beneficiary, gov_addr):
nft.updateTokenAddrs([gov_addr])
return nft
@pytest.fixture(scope="module")
def gov_holder(gov_addr, accounts):
_addr = "0xbfe384d79969bcb583b8a0e5fedc314aee480e7e"
return accounts.at(_addr, force=True)
@pytest.fixture(scope="module")
def multi_owner(accounts):
return accounts.at("0xf27AC88ac7e80487f21e5c2C847290b2AE5d7B8e", force=True)
| 24.747368 | 94 | 0.73373 | 265 | 2,351 | 6.441509 | 0.316981 | 0.114236 | 0.158172 | 0.152314 | 0.35208 | 0.246046 | 0.146456 | 0.059754 | 0.059754 | 0.059754 | 0 | 0.109744 | 0.135687 | 2,351 | 94 | 95 | 25.010638 | 0.730315 | 0.091876 | 0 | 0.271186 | 0 | 0 | 0.215898 | 0.158043 | 0 | 0 | 0.158043 | 0 | 0 | 1 | 0.254237 | false | 0.016949 | 0.033898 | 0.152542 | 0.525424 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
ef5315a4269a5557fe12bc65ca3c8b262b2c0f63 | 336 | py | Python | libft/metrics/accuracy.py | kcosta42/Multilayer_Perceptron | 51e2f9e0532c6e1e9b826b12171903b780e0ba4f | [
"MIT"
] | 1 | 2020-09-26T10:40:45.000Z | 2020-09-26T10:40:45.000Z | libft/metrics/accuracy.py | kcosta42/Multilayer_Perceptron | 51e2f9e0532c6e1e9b826b12171903b780e0ba4f | [
"MIT"
] | null | null | null | libft/metrics/accuracy.py | kcosta42/Multilayer_Perceptron | 51e2f9e0532c6e1e9b826b12171903b780e0ba4f | [
"MIT"
] | null | null | null | import libft.backend.math as M
from libft.metrics.metric import MeanMetricWrapper
class Accuracy(MeanMetricWrapper):
"""Calculates how often predictions matches labels."""
def __init__(self):
super(Accuracy, self).__init__(self.accuracy)
def accuracy(self, y_true, y_pred):
return M.equal(y_true, y_pred)
| 28 | 58 | 0.729167 | 44 | 336 | 5.295455 | 0.613636 | 0.06867 | 0.051502 | 0.085837 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.172619 | 336 | 11 | 59 | 30.545455 | 0.83813 | 0.142857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.285714 | 0.142857 | 0.857143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
ef54c50ae35a5075a0b036ab01f075c4373b7997 | 99 | py | Python | src/app/scraper/__init__.py | glucn/tofino | 64c603b2356f22eecbf8fd592f3656a613646c53 | [
"MIT"
] | 1 | 2021-01-04T10:07:41.000Z | 2021-01-04T10:07:41.000Z | src/app/scraper/__init__.py | glucn/tofino | 64c603b2356f22eecbf8fd592f3656a613646c53 | [
"MIT"
] | 231 | 2020-11-05T06:37:11.000Z | 2022-03-28T03:02:49.000Z | src/app/scraper/__init__.py | glucn/tofino | 64c603b2356f22eecbf8fd592f3656a613646c53 | [
"MIT"
] | null | null | null | """ Scrapper Module """
from .scraper_manager import ScraperManager
__all__ = ['ScraperManager']
| 16.5 | 43 | 0.747475 | 9 | 99 | 7.666667 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.131313 | 99 | 5 | 44 | 19.8 | 0.802326 | 0.151515 | 0 | 0 | 0 | 0 | 0.184211 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
3263c2843156a7bd9ef22c1885ebdfe935cf8215 | 865 | py | Python | harvardit/harvardit/models.py | arochaga/harvardit | 67e2661942fb5be8bd8a68e078fd11c8899c59de | [
"Apache-2.0"
] | 4 | 2018-05-22T20:56:00.000Z | 2018-08-16T07:14:05.000Z | harvardit/harvardit/models.py | arochaga/harvardit | 67e2661942fb5be8bd8a68e078fd11c8899c59de | [
"Apache-2.0"
] | null | null | null | harvardit/harvardit/models.py | arochaga/harvardit | 67e2661942fb5be8bd8a68e078fd11c8899c59de | [
"Apache-2.0"
] | 4 | 2018-05-23T13:54:16.000Z | 2018-09-07T19:30:09.000Z | from django.db import models
from django.contrib.auth.models import User
class Student(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE, primary_key=True)
sc_tx = models.CharField(max_length=66)
sc_address = models.CharField(max_length=50, null=True, blank=True)
def __str__(self):
return '%s' % (self.user)
class Professor(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE, primary_key=True)
students = models.ManyToManyField(Student, blank=True)
eth_address = models.CharField(max_length=50)
def __str__(self):
return '%s' % (self.user)
class University(models.Model):
user = models.OneToOneField(User, on_delete=models.CASCADE, primary_key=True)
eth_address = models.CharField(max_length=50)
def __str__(self):
return '%s' % (self.user)
| 30.892857 | 81 | 0.717919 | 116 | 865 | 5.12931 | 0.327586 | 0.10084 | 0.121008 | 0.161345 | 0.694118 | 0.694118 | 0.638655 | 0.638655 | 0.579832 | 0.579832 | 0 | 0.01105 | 0.163006 | 865 | 27 | 82 | 32.037037 | 0.810773 | 0 | 0 | 0.578947 | 0 | 0 | 0.006944 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.157895 | false | 0 | 0.105263 | 0.157895 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
32c1fab1f3c0b097c0a2d6522e6857ef548adf4a | 55 | py | Python | backend-project/small_eod/notes/__init__.py | WlodzimierzKorza/small_eod | 027022bd71122a949a2787d0fb86518df80e48cd | [
"MIT"
] | 64 | 2019-12-30T11:24:03.000Z | 2021-06-24T01:04:56.000Z | backend-project/small_eod/notes/__init__.py | WlodzimierzKorza/small_eod | 027022bd71122a949a2787d0fb86518df80e48cd | [
"MIT"
] | 465 | 2018-06-13T21:43:43.000Z | 2022-01-04T23:33:56.000Z | backend-project/small_eod/notes/__init__.py | WlodzimierzKorza/small_eod | 027022bd71122a949a2787d0fb86518df80e48cd | [
"MIT"
] | 72 | 2018-12-02T19:47:03.000Z | 2022-01-04T22:54:49.000Z | default_app_config = "small_eod.notes.apps.NoteConfig"
| 27.5 | 54 | 0.836364 | 8 | 55 | 5.375 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054545 | 55 | 1 | 55 | 55 | 0.826923 | 0 | 0 | 0 | 0 | 0 | 0.563636 | 0.563636 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
086a2bf99dd626f255e2fad89852bcaef905bec7 | 314 | py | Python | src/001-050/P040-Champernowne.py | lord483/Project-Euler-Solutions | ba9e9451460d631774dfa75d61cedc1918a462c2 | [
"MIT"
] | null | null | null | src/001-050/P040-Champernowne.py | lord483/Project-Euler-Solutions | ba9e9451460d631774dfa75d61cedc1918a462c2 | [
"MIT"
] | null | null | null | src/001-050/P040-Champernowne.py | lord483/Project-Euler-Solutions | ba9e9451460d631774dfa75d61cedc1918a462c2 | [
"MIT"
] | null | null | null | s = ''
i = 1
while (True):
s = s + str(i)
i = i + 1
if len(s) > 1000000:
break
print(i)
r = 1
r = r * int(s[1 - 1])
r = r * int(s[10 - 1])
r = r * int(s[100 - 1])
r = r * int(s[1000 - 1])
r = r * int(s[10000 - 1])
r = r * int(s[100000 - 1])
r = r * int(s[1000000 - 1])
print("result = ", r)
| 14.952381 | 27 | 0.433121 | 66 | 314 | 2.060606 | 0.287879 | 0.102941 | 0.154412 | 0.308824 | 0.360294 | 0 | 0 | 0 | 0 | 0 | 0 | 0.21327 | 0.328025 | 314 | 20 | 28 | 15.7 | 0.43128 | 0 | 0 | 0 | 0 | 0 | 0.028662 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.117647 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
088bb4878d0772169782c0380c56925b0f9161c1 | 245 | py | Python | software/reachy/utils/__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/utils/__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/utils/__init__.py | pollen-robotics/reachy-2.0 | 1721c2d93737e576e328bfdb78376d1b0163d3d6 | [
"Apache-1.1"
] | 47 | 2018-05-27T02:59:28.000Z | 2021-03-07T14:56:10.000Z | """Utility toolbox submodules."""
import numpy as np
from scipy.spatial.transform import Rotation as R
def rot(axis, deg):
"""Compute 3D rotation matrix given euler rotation."""
return R.from_euler(axis, np.deg2rad(deg)).as_matrix()
| 22.272727 | 58 | 0.722449 | 36 | 245 | 4.861111 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009662 | 0.155102 | 245 | 10 | 59 | 24.5 | 0.835749 | 0.310204 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.5 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
08a3e6beafccb25eb6b296548b0692bd68282967 | 8,627 | py | Python | gc3_query/lib/open_api/swagger_formats/sec_lists_formats.py | ericmharris/gc3-query | 0bf5226130aafbb1974aeb96d93ee1996833e87d | [
"MIT"
] | null | null | null | gc3_query/lib/open_api/swagger_formats/sec_lists_formats.py | ericmharris/gc3-query | 0bf5226130aafbb1974aeb96d93ee1996833e87d | [
"MIT"
] | null | null | null | gc3_query/lib/open_api/swagger_formats/sec_lists_formats.py | ericmharris/gc3-query | 0bf5226130aafbb1974aeb96d93ee1996833e87d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
gc3-query.sec_list [9/9/2018 11:47 AM]
~~~~~~~~~~~~~~~~
<DESCR SHORT>
<DESCR>
"""
# ################################################################################
# ## Standard Library Imports
# import sys, os
# from typing import List, Optional, Any, Callable, Dict, Tuple, Union, Set, Generator, Iterable
#
# ################################################################################
# ## Third-Party Imports
# from dataclasses import dataclass
# from bravado_core.formatter import SwaggerFormat, NO_OP
# from bravado_core.exception import SwaggerValidationError
#
# ################################################################################
# ## Project Imports
# # from gc3_query.lib import *
# from gc3_query.lib import gc3_cfg
# # from gc3_query.lib.gc3_config import GC3Config
# from gc3_query.lib.gc3logging import get_logging
# _debug, _info, _warning, _error, _critical = get_logging(name=__name__)
# gc3_cfg = GC3Config()
from bravado_core.formatter import SwaggerFormat, NO_OP
from bravado_core.exception import SwaggerValidationError
from collections.abc import MutableMapping
################################################################################
## Project Imports
from gc3_query.lib import *
from gc3_query.lib import gc3_cfg
# from gc3_query.lib.gc3_config import GC3Config
from gc3_query.lib.gc3logging import get_logging
_debug, _info, _warning, _error, _critical = get_logging(name=__name__)
# gc3_cfg = GC3Config()
idm_instance_id_to_name = {idm_domain.formal_id: idm_domain.name for idm_domain in [d for d in gc3_cfg.idm.domains.values() if not isinstance(d, str)]}
# SecRule = dict(action='PERMIT', application='/oracle/public/rdp', description='', disabled=False, dst_is_ip=False,
# dst_list='seclist:/Compute-gc3pilot/eric.harris@oracle.com/psft_seclist_win_01', id='c16eb739-9b60-4c6a-91a3-97a197d98183',
# name='/Compute-gc3pilot/eric.harris@oracle.com/psft_pcm_rdp', src_is_ip=True, src_list='seciplist:/oracle/public/public-internet',
# uri='https://compute.uscom-central-1.oraclecloud.com/secrule/Compute-gc3pilot/eric.harris%40oracle.com/psft_pcm_rdp')
class SecListBaseFormat(MutableMapping):
def __init__(self, name: str):
"""Takes three-part name of object from Oracle Cloud Classic.
seclist:/Compute-586297329/siva.subramani@oracle.com/paas/JaaS/gc3emacmma804/lb/ora_otd_infraadmin
seclist:/Compute-586297329/siva.subramani@oracle.com/paas/JaaS/gc3emacmma804/wls/ora_wls_infraadmin
seclist:/Compute-586297329/mayurnath.gokare@oracle.com/paas/JaaS/gc3apacasbx546/lb/ora_otd
seclist:/Compute-586297329/dhiru.vallabhbhai@oracle.com/dbaas/gc3emeacetr001/db_1/ora_db
seclist:/Compute-586297329/ramesh.dadhania@oracle.com/paas/ANALYTICS/gc3emeatfde102/BI/ora_BISecList
seclist:/Compute-586297329/seetharaman.nandyal@oracle.com/paas/JaaS/gc3apacasbx529/wls/ora_ms
seclist:/Compute-586297329/seetharaman.nandyal@oracle.com/paas/JaaS/gc3apacasbx529/lb/ora_otd
seclist:/Compute-586297329/sharad.salian@oracle.com/dbaas/gc3emeaczsi201/db_1/ora_db
seclist:/Compute-586297329/sharad.salian@oracle.com/paas/SOA/gc3emeaoics106/lb/ora_otd_infraadmin
seclist:/Compute-gc3pilot/eric.harris@oracle.com/psft_seclist_win_01
:param name: The three-part name of the object (/Compute-identity_domain/user/object).
"""
# self.idm_service_instance_id, self.username, self.list_object_name, self.list_type = self._parse_name(name=self.name)
# self.idm_domain_name = idm_instance_id_to_name.get(self.idm_service_instance_id, False)
# if not self.idm_domain_name:
# raise RuntimeError(f"Failed to parse IDM Domain name for {self.__class__.__name__}: {name}")
# _debug(f"{self.__class__.__name__} created ")
self._d = dict()
self['full_name'] = name.strip()
_debug(f"{self.__class__.__name__} created ")
# def __str__(self):
# return self.name
#
# def __repr__(self):
# return f"{self.__class__.__name__}({self})"
def to_wire(self):
return self.__str__()
@classmethod
def validate(cls, sec_list_name: str) -> bool:
if 'seclist' in sec_list_name:
return True
if 'seciplist' in sec_list_name:
return True
raise SwaggerValidationError(f"Value={from_wire} not recognized as SecListFormat")
def __str__(self):
return self['full_name']
def __repr__(self):
return f"{self.__class__.__name__}({self})"
def __setitem__(self, key, value):
self._d[key] = value
def __getitem__(self, key):
return self._d[key]
# access members with a '.'
def __getattr__(self, key):
"""
Called when an attribute can't be found in an object's instance __dict__.
:param key:
:return:
"""
return self._d[key]
def __delitem__(self, key):
del self._d[key]
def __iter__(self):
return iter(self._d)
def __len__(self):
return len(self._d)
def keys(self):
return list(super().keys())
def values(self):
return list(super().values())
def items(self):
return list(super().items())
def __eq__(self, other):
return self['full_name'] == other['full_name']
class SecListFormat(SecListBaseFormat):
def __init__(self, name: str):
"""
seciplist:/oracle/public/paas-infra
:param from_wire: <p>The three-part name of the object (<code>/Compute-<em>identity_domain</em>/<em>user</em>/<em>object</em></code>).<p>Object
names can contain only alphanumeric characters, hyphens, underscores, and
periods. Object names are case-sensitive.
"""
super().__init__(name)
self.idm_service_instance_id, self.object_owner, self.object_name, self.object_type = self._parse_name(name=self.full_name)
self.idm_domain_name = idm_instance_id_to_name.get(self.idm_service_instance_id, False)
self.object_type = "SecList"
if not self.idm_domain_name:
raise RuntimeError(f"Failed to parse IDM Domain name for {self.__class__.__name__}: {name}")
_debug(f"{self.__class__.__name__} created ")
def _parse_name(self, name: str) -> Tuple[str]:
list_type, _name = name.split(':')
_, idm_name_part, username, *object_name_parts = _name.split('/')
# idm_name_part = 'Compute-605519274'
_, _idm_service_instance_id = idm_name_part.split('-')
idm_service_instance_id = _idm_service_instance_id
_list_object_name = '/'.join(object_name_parts)
list_object_name = f"{_list_object_name}"
return idm_service_instance_id, username, list_object_name, list_type
class SecIPListFormat(SecListBaseFormat):
def __init__(self, name: str):
"""
seciplist:/oracle/public/paas-infra
:param from_wire: <p>The three-part name of the object (<code>/Compute-<em>identity_domain</em>/<em>user</em>/<em>object</em></code>).<p>Object
names can contain only alphanumeric characters, hyphens, underscores, and
periods. Object names are case-sensitive.
"""
super().__init__(name)
self.object_name, self.object_type = self._parse_name(name=self.full_name)
self.object_type = "SecIPList"
_debug(f"{self.__class__.__name__} created ")
def _parse_name(self, name: str) -> Tuple[str]:
object_type, object_name = name.split(':')
return object_name, object_type
def from_wire(name: str) -> Union[SecListFormat, SecIPListFormat]:
if 'seclist' in name:
return SecListFormat(name=name)
if 'seciplist' in name:
return SecIPListFormat(name=name)
raise SwaggerValidationError(f'Failed to find SecList/SecIPList format in: {name}')
sec_list_format = SwaggerFormat(
# name of the format as used in the Swagger spec
format='sec-list',
# Callable to convert a python object to_wire representations
# to_wire=lambda json_bool_instance: json_bool_instance.as_wire,
to_wire=lambda sec_list_format_instance: sec_list_format_instance.to_wire,
# Callable to convert a from_wire to a python object
to_python=from_wire,
# Callable to validate the cidr in string form
validate=SecListBaseFormat.validate,
description='Converts seciplist:/oracle/public/paas-infra or seclist:/Compute-605519274/siva.subramani@oracle.com/paas/JaaS/gc3ossitcmf103JAAS/wls/ora_ms into objects'
)
| 38.004405 | 171 | 0.673003 | 1,098 | 8,627 | 4.958106 | 0.229508 | 0.022043 | 0.038024 | 0.022043 | 0.521492 | 0.486591 | 0.44471 | 0.404115 | 0.404115 | 0.404115 | 0 | 0.029387 | 0.179553 | 8,627 | 226 | 172 | 38.172566 | 0.739757 | 0.450562 | 0 | 0.164706 | 0 | 0.011765 | 0.138734 | 0.063303 | 0 | 0 | 0 | 0 | 0 | 1 | 0.235294 | false | 0 | 0.070588 | 0.117647 | 0.541176 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
08ac1b6653f4da4fbfcc76bc4caf2ec32a37819a | 1,185 | py | Python | 001383WiseplatMarathPyBegin/day6_igra-kamen-nozhnicy-bumaga.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | 001383WiseplatMarathPyBegin/day6_igra-kamen-nozhnicy-bumaga.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | 001383WiseplatMarathPyBegin/day6_igra-kamen-nozhnicy-bumaga.py | SafonovMikhail/python_000577 | 739f764e80f1ca354386f00b8e9db1df8c96531d | [
"Apache-2.0"
] | null | null | null | igrok1 = 0
igrok2 = 0
win = 0
draw = 0
lose = 0
list_choises = ['Камень', 'Ножницы', 'Бумага']
print("(Камень - 1, Ножницы - 2, Бумага - 3) Игрок 1, введите ваш номер:")
igrok1 = int(input())
while 1 < igrok1 > 3:
print("Введен некорректный номер")
print("(Камень - 1, Ножницы - 2, Бумага - 3) Игрок 1, введите ваш номер:")
igrok1 = int(input())
if igrok1 == 1:
print('Игрок 1 выбрал %s' % list_choises[1 - igrok1])
elif igrok1 == 2:
print('Игрок 1 выбрал %s' % list_choises[1 - igrok1])
elif igrok1 == 3:
print('Игрок 1 выбрал %s' % list_choises[1 - igrok1])
print("(Камень - 1, Ножницы - 2, Бумага - 3) Игрок 2, введите ваш номер:")
igrok2 = int(input())
while 1 < igrok2 > 3:
for i in range(3):
print("Введен некорректный номер")
print("(Камень - 1, Ножницы - 2, Бумага - 3) Игрок 1, введите ваш номер:")
igrok2 = int(input())
print("Вы три раза ввели неверное число. Вы проиграли!")
break
if igrok2 == 1:
print('Игрок 2 выбрал %s' % list_choises[1 - igrok2])
elif igrok2 == 2:
print('Игрок 2 выбрал %s' % list_choises[1 - igrok2])
elif igrok2 == 3:
print('Игрок 2 выбрал %s' % list_choises[1 - igrok2])
| 29.625 | 82 | 0.618565 | 178 | 1,185 | 4.078652 | 0.224719 | 0.106061 | 0.090909 | 0.14876 | 0.772727 | 0.772727 | 0.713499 | 0.713499 | 0.669421 | 0.570248 | 0 | 0.069869 | 0.227004 | 1,185 | 39 | 83 | 30.384615 | 0.722707 | 0 | 0 | 0.454545 | 0 | 0 | 0.403376 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.393939 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
08b193a8407c0a1b09e074112ec348c78937e984 | 1,253 | py | Python | test/test_issue1055.py | achaudhary997/rdflib | 5d07a19d02cde77b38e7fa6303c5dcdd368b805b | [
"BSD-3-Clause"
] | null | null | null | test/test_issue1055.py | achaudhary997/rdflib | 5d07a19d02cde77b38e7fa6303c5dcdd368b805b | [
"BSD-3-Clause"
] | null | null | null | test/test_issue1055.py | achaudhary997/rdflib | 5d07a19d02cde77b38e7fa6303c5dcdd368b805b | [
"BSD-3-Clause"
] | null | null | null | import unittest
from rdflib import Graph, URIRef
class TestIssue1055(unittest.TestCase):
def test_issue_1055(self):
exp_tuple1 = (URIRef('http://example.com/foo'), URIRef('http://example.com/p1'),
URIRef('http://example.com/bar1'))
exp_tuple2 = (URIRef('http://example.com/foo'), URIRef('http://example.com/p2'),
URIRef('http://example.com/bar2'))
g = Graph()
g.add((URIRef('http://example.com/foo'), URIRef('http://example.com/p1'),
URIRef('http://example.com/bar1')))
g.add((URIRef('http://example.com/foo'), URIRef('http://example.com/p2'),
URIRef('http://example.com/bar2')))
g.add((URIRef('http://example.com/foo2'), URIRef('http://example.com/p3'),
URIRef('http://example.com/bar3')))
newGraph = g.subgraph((URIRef('http://example.com/foo'), None, None))
triple_generator = newGraph.triples((URIRef('http://example.com/foo'), None, None))
act_tuples = sorted([next(triple_generator), next(triple_generator)])
self.assertEqual(exp_tuple1, act_tuples[0])
self.assertEqual(exp_tuple2, act_tuples[1])
if __name__ == "__main__":
unittest.main()
| 41.766667 | 92 | 0.597765 | 152 | 1,253 | 4.796053 | 0.302632 | 0.233196 | 0.396433 | 0.466392 | 0.508916 | 0.508916 | 0.477366 | 0.392318 | 0.392318 | 0.392318 | 0 | 0.025253 | 0.209896 | 1,253 | 29 | 93 | 43.206897 | 0.711111 | 0 | 0 | 0 | 0 | 0 | 0.312909 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.045455 | false | 0 | 0.090909 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
08f8d53de23537dd5ccf7ca1fc133c331721d7eb | 689 | py | Python | src/core/tests/test_position.py | weisongye/saycbridge | 3cc4e3363008d7d9232bcde18db28823dae042ae | [
"BSD-3-Clause"
] | 16 | 2015-03-19T09:21:00.000Z | 2021-08-13T08:21:39.000Z | src/core/tests/test_position.py | weisongye/saycbridge | 3cc4e3363008d7d9232bcde18db28823dae042ae | [
"BSD-3-Clause"
] | 19 | 2015-01-05T06:13:49.000Z | 2016-08-11T00:00:25.000Z | src/core/tests/test_position.py | weisongye/saycbridge | 3cc4e3363008d7d9232bcde18db28823dae042ae | [
"BSD-3-Clause"
] | 10 | 2015-09-03T00:48:55.000Z | 2020-11-09T09:29:59.000Z | # Copyright (c) 2013 The SAYCBridge Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import unittest2
from core.position import *
class PositionTest(unittest2.TestCase):
def test_partner(self):
self.assertEquals(NORTH.partner, SOUTH)
self.assertEquals(EAST.partner, WEST)
def test_calls_between(self):
self.assertEquals(NORTH.calls_between(NORTH), 0)
self.assertEquals(NORTH.calls_between(EAST), 1)
self.assertEquals(NORTH.calls_between(SOUTH), 2)
self.assertEquals(NORTH.calls_between(WEST), 3)
if __name__ == '__main__':
unittest2.main()
| 29.956522 | 72 | 0.719884 | 91 | 689 | 5.285714 | 0.582418 | 0.199584 | 0.218295 | 0.216216 | 0.274428 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019538 | 0.182874 | 689 | 22 | 73 | 31.318182 | 0.834814 | 0.233672 | 0 | 0 | 0 | 0 | 0.015267 | 0 | 0 | 0 | 0 | 0 | 0.461538 | 1 | 0.153846 | false | 0 | 0.153846 | 0 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
3e9694567fc62fec32f908ba0ef224e185fcec4d | 32 | py | Python | __init__.py | thelahunginjeet/pyica | 5a409717048ad61d700d399267b8944d64f35374 | [
"BSD-3-Clause"
] | 7 | 2016-12-06T23:51:35.000Z | 2021-04-20T13:08:02.000Z | __init__.py | thelahunginjeet/pyica | 5a409717048ad61d700d399267b8944d64f35374 | [
"BSD-3-Clause"
] | null | null | null | __init__.py | thelahunginjeet/pyica | 5a409717048ad61d700d399267b8944d64f35374 | [
"BSD-3-Clause"
] | 9 | 2015-05-05T12:51:57.000Z | 2020-02-10T18:19:55.000Z | __all__ = ['fastica','sources']
| 16 | 31 | 0.65625 | 3 | 32 | 5.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.09375 | 32 | 1 | 32 | 32 | 0.586207 | 0 | 0 | 0 | 0 | 0 | 0.4375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
3ef1272fbb17a8ad3d0b2d48b45a9888f8640d78 | 368 | py | Python | app/utils/times.py | albert-lii/myzone | 401acb84320b717e59860d95ad4aa4742b762158 | [
"MIT"
] | null | null | null | app/utils/times.py | albert-lii/myzone | 401acb84320b717e59860d95ad4aa4742b762158 | [
"MIT"
] | 1 | 2021-03-31T19:51:33.000Z | 2021-03-31T19:51:33.000Z | app/utils/times.py | albert-lii/myzone | 401acb84320b717e59860d95ad4aa4742b762158 | [
"MIT"
] | null | null | null | # -*- coding:utf-8 -*-
"""
:author: Albert Li
:copyright: © 2019 Albert Li
:time: 2020/2/13 14:29
"""
import arrow
def timestamp_to_str(timestamp: int, pattern: str = "YYYY-MM-DD HH:mm"):
"""时间戳转格式化日期字符串
:param timestamp: 时间戳
:param pattern: 日期格式
:return: 格式化后的日期字符串
"""
return arrow.get(timestamp).to("local").format(pattern)
| 19.368421 | 72 | 0.619565 | 49 | 368 | 4.632653 | 0.734694 | 0.070485 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055556 | 0.217391 | 368 | 18 | 73 | 20.444444 | 0.729167 | 0.461957 | 0 | 0 | 0 | 0 | 0.134615 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0.333333 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
411d922c4962ee94d1a26a9ac135f1b8c8a3d4ba | 175 | py | Python | wdbfrontend/beddit/urls.py | lrmreyes/Beddit | c393fce7917a20746e64638e8d2517c716ed40aa | [
"MIT"
] | null | null | null | wdbfrontend/beddit/urls.py | lrmreyes/Beddit | c393fce7917a20746e64638e8d2517c716ed40aa | [
"MIT"
] | null | null | null | wdbfrontend/beddit/urls.py | lrmreyes/Beddit | c393fce7917a20746e64638e8d2517c716ed40aa | [
"MIT"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('', views.homepage, name='homepage'),
path('posts/<int:pk>/', views.postpage, name='post'),
]
| 17.5 | 57 | 0.651429 | 22 | 175 | 5.181818 | 0.636364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.165714 | 175 | 9 | 58 | 19.444444 | 0.780822 | 0 | 0 | 0 | 0 | 0 | 0.155172 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
f5c3b90e1114a45f174270cf9eaad673133db889 | 858 | py | Python | gmpy_cffi/version.py | sn6uv/gmpy_cffi | d076e2cfe5d1c5dc0d274c008034995d36d7ecca | [
"BSD-3-Clause"
] | 5 | 2016-04-27T05:07:22.000Z | 2018-12-31T00:11:18.000Z | gmpy_cffi/version.py | sn6uv/gmpy_cffi | d076e2cfe5d1c5dc0d274c008034995d36d7ecca | [
"BSD-3-Clause"
] | 3 | 2016-04-28T12:53:21.000Z | 2018-07-27T17:10:40.000Z | gmpy_cffi/version.py | sn6uv/gmpy_cffi | d076e2cfe5d1c5dc0d274c008034995d36d7ecca | [
"BSD-3-Clause"
] | 5 | 2016-04-28T12:05:22.000Z | 2019-09-03T01:58:39.000Z | from gmpy_cffi.interface import ffi, gmp
__version__ = '0.0.1'
def version():
"""
version() -> string
Return string giving current GMPY2 version.
"""
return __version__
def mp_version():
"""
mp_version() -> string
Return string giving the name and version of the multiple precision
library used.
"""
return "GMP {0}".format(ffi.string(gmp.gmp_version))
def mpfr_version():
"""
mpfr_version() -> string
Return string giving current MPFR version. Return None if MPFR
support is not available.
"""
return "MPFR {0}".format(ffi.string(gmp.mpfr_get_version()))
def mpc_version():
"""
mpc_version() -> string
Return string giving current MPC version. Return None if MPC
support is not available.
"""
return "MPC {0}".format(ffi.string(gmp.mpc_get_version()))
| 19.953488 | 71 | 0.649184 | 111 | 858 | 4.837838 | 0.315315 | 0.096834 | 0.141527 | 0.18622 | 0.476723 | 0.212291 | 0 | 0 | 0 | 0 | 0 | 0.010622 | 0.231935 | 858 | 42 | 72 | 20.428571 | 0.804249 | 0.462704 | 0 | 0 | 0 | 0 | 0.072581 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.4 | false | 0 | 0.1 | 0 | 0.9 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
f5eab8c0114af68baf68b0d1934d9a4af8b35bef | 381 | py | Python | docsie_universal_importer/providers/google_cloud_storage/serializers.py | Zarif99/test-universal | 062972ed64d9f048de702ab1edf4025cffca2abb | [
"BSD-3-Clause"
] | null | null | null | docsie_universal_importer/providers/google_cloud_storage/serializers.py | Zarif99/test-universal | 062972ed64d9f048de702ab1edf4025cffca2abb | [
"BSD-3-Clause"
] | null | null | null | docsie_universal_importer/providers/google_cloud_storage/serializers.py | Zarif99/test-universal | 062972ed64d9f048de702ab1edf4025cffca2abb | [
"BSD-3-Clause"
] | null | null | null | from rest_framework import serializers
from docsie_universal_importer.providers.base import StorageTreeRequestSerializer, DownloaderRequestSerializer
class GoogleCloudStorageTreeRequestSerializer(StorageTreeRequestSerializer):
bucket = serializers.CharField()
class GoogleCloudStorageDownloaderSerializer(DownloaderRequestSerializer):
bucket = serializers.CharField()
| 31.75 | 110 | 0.871391 | 26 | 381 | 12.653846 | 0.653846 | 0.103343 | 0.158055 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.08399 | 381 | 11 | 111 | 34.636364 | 0.942693 | 0 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
eb275f71091aff4badff39bbe782c325f1bc9389 | 4,925 | gyp | Python | binding.gyp | Digt/trusted-crypto | 79a9eb21ff10b9facc95f162d089f614b127c89a | [
"Apache-2.0"
] | 17 | 2017-07-27T11:25:11.000Z | 2018-11-23T09:05:57.000Z | binding.gyp | TrustedPlus/trusted-crypto | 79a9eb21ff10b9facc95f162d089f614b127c89a | [
"Apache-2.0"
] | 12 | 2016-07-13T08:14:00.000Z | 2017-02-02T12:52:33.000Z | binding.gyp | Digt/trusted-crypto | 79a9eb21ff10b9facc95f162d089f614b127c89a | [
"Apache-2.0"
] | 8 | 2017-02-07T12:55:59.000Z | 2019-05-07T15:49:49.000Z | {
"targets": [
{
"target_name": "trusted",
"dependencies": [
"deps/wrapper/wrapper.gyp:wrapper",
],
"sources": [
"src/node/main.cpp",
"src/node/helper.cpp",
"src/node/stdafx.cpp",
"src/node/common/wopenssl.cpp",
"src/node/utils/wlog.cpp",
"src/node/utils/wrap.cpp",
"src/node/utils/wjwt.cpp",
"src/node/utils/wcsp.cpp",
"src/node/pki/wcrl.cpp",
"src/node/pki/wcrls.cpp",
"src/node/pki/wrevoked.cpp",
"src/node/pki/wrevokeds.cpp",
"src/node/pki/wcert.cpp",
"src/node/pki/wcerts.cpp",
"src/node/pki/wattr.cpp",
"src/node/pki/wattr_vals.cpp",
"src/node/pki/wext.cpp",
"src/node/pki/wexts.cpp",
"src/node/pki/wkey.cpp",
"src/node/pki/woid.cpp",
"src/node/pki/walg.cpp",
"src/node/pki/wcert_request_info.cpp",
"src/node/pki/wcert_request.cpp",
"src/node/pki/wcipher.cpp",
"src/node/pki/wchain.cpp",
"src/node/pki/wrevocation.cpp",
"src/node/pki/wpkcs12.cpp",
"src/node/store/wcashjson.cpp",
"src/node/store/wpkistore.cpp",
"src/node/store/wsystem.cpp",
"src/node/cms/wsigned_data.cpp",
"src/node/cms/wsigner.cpp",
"src/node/cms/wsigner_id.cpp",
"src/node/cms/wsigners.cpp",
"src/node/cms/wsigner_attrs.cpp",
"src/node/cms/wcmsRecipientInfo.cpp",
"src/node/cms/wcmsRecipientInfos.cpp"
],
"xcode_settings": {
"OTHER_CPLUSPLUSFLAGS": [
"-std=c++11",
"-stdlib=libc++"
],
"OTHER_LDFLAGS": [],
"GCC_ENABLE_CPP_EXCEPTIONS": "YES",
"GCC_ENABLE_CPP_RTTI": "YES",
"MACOSX_DEPLOYMENT_TARGET": "10.7"
},
"conditions": [
[
"OS=='win'",
{
"sources": [
"src/node/store/wmicrosoft.cpp"
],
"conditions": [
[
"target_arch=='x64'",
{
"variables": {
"openssl_root%": "C:/openssl"
}
},
{
"variables": {
"openssl_root%": "C:/openssl"
}
}
]
],
"libraries": [
"-l<(module_root_dir)/build/Release/wrapper.lib",
"-l<(openssl_root)/lib/libeay32.lib",
"-lcrypt32.lib"
],
"include_dirs": [
"<(openssl_root)/include",
"deps/wrapper/include",
"deps/wrapper/jsoncpp"
],
"defines": ["CTWRAPPER_STATIC", "OPENSSL_NO_CTGOSTCP", "JWT_NO_LICENSE"],
"msbuild_settings": {
"Link": {
"ImageHasSafeExceptionHandlers": "false"
}
}
},
{
"conditions": [
['OS=="linux"', {
"libraries": [
"-lcrypto"
]
}]],
"libraries": [
"-L<(module_root_dir)/build/Release/wrapper.a"
],
"include_dirs": [
"deps/wrapper/include",
"deps/wrapper/jsoncpp"
],
"defines": ["UNIX", "OPENSSL_NO_CTGOSTCP", "JWT_NO_LICENSE"],
"cflags_cc+": ["-std=c++11"]
}
]
],
"include_dirs": [
"<!(node -e \"require('nan')\")"
],
"cflags": [ ],
"cflags_cc!": [
"-fno-rtti",
"-fno-exceptions"
]
}
]
}
| 38.476563 | 97 | 0.329746 | 339 | 4,925 | 4.663717 | 0.342183 | 0.168248 | 0.227704 | 0.15623 | 0.283365 | 0.175838 | 0.107527 | 0.053131 | 0 | 0 | 0 | 0.006679 | 0.543959 | 4,925 | 127 | 98 | 38.779528 | 0.69724 | 0 | 0 | 0.24 | 0 | 0 | 0.376244 | 0.233503 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
eb45f7387c1748069a71dc1513f29bbd0756c28d | 409 | py | Python | wms/encryption/hash_password.py | minhlong94/SWE_IT1706IU | 8ab5004abbd1965a14088f608a600726dfd6ca83 | [
"MIT"
] | null | null | null | wms/encryption/hash_password.py | minhlong94/SWE_IT1706IU | 8ab5004abbd1965a14088f608a600726dfd6ca83 | [
"MIT"
] | null | null | null | wms/encryption/hash_password.py | minhlong94/SWE_IT1706IU | 8ab5004abbd1965a14088f608a600726dfd6ca83 | [
"MIT"
] | null | null | null | import base64
import hashlib
import bcrypt
def hash_password(password="python", encryption_file=None):
"""Hash password function
This file helps to hash the password using bcrypt.
Returns:
None
"""
hashed_pw = bcrypt.hashpw(base64.b64encode(hashlib.sha512(password.encode()).digest()), bcrypt.gensalt())
with open(encryption_file, "w+b") as f:
f.write(hashed_pw)
| 21.526316 | 109 | 0.691932 | 53 | 409 | 5.245283 | 0.622642 | 0.086331 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027356 | 0.195599 | 409 | 18 | 110 | 22.722222 | 0.817629 | 0.227384 | 0 | 0 | 0 | 0 | 0.030717 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0.285714 | 0.428571 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 3 |
de19302815b496d6f9578dcb3dbd6c1461b75ab2 | 1,190 | py | Python | env/Lib/site-packages/OpenGL/GL/SGIX/pixel_texture.py | 5gconnectedbike/Navio2 | 8c3f2b5d8bbbcea1fc08739945183c12b206712c | [
"BSD-3-Clause"
] | 210 | 2016-04-09T14:26:00.000Z | 2022-03-25T18:36:19.000Z | env/Lib/site-packages/OpenGL/GL/SGIX/pixel_texture.py | 5gconnectedbike/Navio2 | 8c3f2b5d8bbbcea1fc08739945183c12b206712c | [
"BSD-3-Clause"
] | 72 | 2016-09-04T09:30:19.000Z | 2022-03-27T17:06:53.000Z | env/Lib/site-packages/OpenGL/GL/SGIX/pixel_texture.py | 5gconnectedbike/Navio2 | 8c3f2b5d8bbbcea1fc08739945183c12b206712c | [
"BSD-3-Clause"
] | 64 | 2016-04-09T14:26:49.000Z | 2022-03-21T11:19:47.000Z | '''OpenGL extension SGIX.pixel_texture
This module customises the behaviour of the
OpenGL.raw.GL.SGIX.pixel_texture to provide a more
Python-friendly API
Overview (from the spec)
This extension allows the color components of pixel groups to be used as
texture coordinates, effectively converting a color image into a texture
coordinate image. Because texture mapping is essentially a
multidimensional table lookup, this conversion supports multidimensional
color lookups for images. Such multidimensional lookups can be used to
implement very accurate color space conversions.
The official definition of this extension is available here:
http://www.opengl.org/registry/specs/SGIX/pixel_texture.txt
'''
from OpenGL import platform, constant, arrays
from OpenGL import extensions, wrapper
import ctypes
from OpenGL.raw.GL import _types, _glgets
from OpenGL.raw.GL.SGIX.pixel_texture import *
from OpenGL.raw.GL.SGIX.pixel_texture import _EXTENSION_NAME
def glInitPixelTextureSGIX():
'''Return boolean indicating whether this extension is available'''
from OpenGL import extensions
return extensions.hasGLExtension( _EXTENSION_NAME )
### END AUTOGENERATED SECTION | 37.1875 | 73 | 0.811765 | 163 | 1,190 | 5.858896 | 0.521472 | 0.062827 | 0.08377 | 0.04712 | 0.105759 | 0.105759 | 0.077487 | 0.077487 | 0 | 0 | 0 | 0 | 0.137815 | 1,190 | 32 | 74 | 37.1875 | 0.930799 | 0.711765 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | true | 0 | 0.777778 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
de2432ff982c00687caf0482e48159872c49c4a0 | 2,815 | py | Python | _from_pydot/sync_server/rest_apis/jira_issues.py | owasp-sbot/pbx-gs-python-utils | f448aa36c4448fc04d30c3a5b25640ea4d44a267 | [
"Apache-2.0"
] | 3 | 2018-12-14T15:43:46.000Z | 2019-04-25T07:44:58.000Z | _from_pydot/sync_server/rest_apis/jira_issues.py | owasp-sbot/pbx-gs-python-utils | f448aa36c4448fc04d30c3a5b25640ea4d44a267 | [
"Apache-2.0"
] | 1 | 2019-05-11T14:19:37.000Z | 2019-05-11T14:51:04.000Z | _from_pydot/sync_server/rest_apis/jira_issues.py | owasp-sbot/pbx-gs-python-utils | f448aa36c4448fc04d30c3a5b25640ea4d44a267 | [
"Apache-2.0"
] | 4 | 2018-12-27T04:54:14.000Z | 2019-05-11T14:07:47.000Z | from flask_restplus import Namespace, Resource
from osbot_jira.api.jira_server.API_Jira import API_Jira
from API_Elastic_Jira import API_Elastic_Jira
api = Namespace('jira', description='JIRA issues related operations')
jira_api = API_Jira()
# @api.route('/jira-web-hook')
# class jira_update_hook(Resource):
# def post(self):
# index = 'jira'
# projects = 'VULN,RISK,FACT'
# elastic_jira = API_Elastic_Jira(index, projects).setup()
# elastic_jira.update_index_from_jira_changes()
# return { 'action': 'updating projects {0}'.format(projects) }
#
# @api.route('/jira-web-hook-sec')
# class jira_update_hook_sec(Resource):
# def post(self):
# index = 'sec_project'
# projects = 'SEC'
# elastic_jira = API_Elastic_Jira(index, projects).setup()
# elastic_jira.update_index_from_jira_changes()
# return { 'action': 'updating projects {0}'.format(projects) }
#
# @api.route('/jira-web-hook-ia')
# class jira_update_hook_ia(Resource):
# def post(self):
# index = 'it_assets'
# projects = 'IA,TM,GSP,GSOKR,RT,FIX,SC,GSSP,SL,GSOS,GSCS,GSBOT'
# elastic_jira = API_Elastic_Jira(index, projects).setup()
# elastic_jira.update_index_from_jira_changes()
# return { 'action': 'updating projects {0}'.format(projects) }
#
# @api.route('/reload-elk-index-jira')
# class reload_elk_index_jira(Resource):
# def post(self):
# return API_Elastic_Jira().setup().reload_jira_index__jira()
#
# @api.route('/reload-elk-index-sec')
# class reload_elk_index_sec(Resource):
# def post(self):
# return API_Elastic_Jira().setup().reload_jira_index__sec_project()
#
# @api.route('/reload-elk-index-it-assets')
# class reload_elk_index_it_assets(Resource):
# def post(self):
# return API_Elastic_Jira().setup().reload_jira_index__it_Assets()
#
# @api.route('/reload-elk-indexes')
# class reload_elk_indexes(Resource):
# def post(self):
# result = {
# "jira" : API_Elastic_Jira().setup().reload_jira_index__jira() ,
# "it_assets" : API_Elastic_Jira().setup().reload_jira_index__it_Assets() ,
# "sec_project": API_Elastic_Jira().setup().reload_jira_index__sec_project()
# }
# return result
# @api.route('/reload-jira-index-data')
# class jira_reload_jira_index_data(Resource):
# def get(self):
# return 42
#
# @api.route('/get/<id>')
# class list_issues(Resource):
# def get(self, id):
# return jira_api.issue(id)
#
# @api.route('/projectsAAAA')
# class projects(Resource):
# def get(self):
# return pprint.pformat (jira_api.projects())
| 35.632911 | 99 | 0.630906 | 346 | 2,815 | 4.82659 | 0.184971 | 0.111976 | 0.092216 | 0.079641 | 0.581437 | 0.441916 | 0.441916 | 0.441916 | 0.416766 | 0.354491 | 0 | 0.002291 | 0.224867 | 2,815 | 78 | 100 | 36.089744 | 0.763061 | 0.846536 | 0 | 0 | 0 | 0 | 0.092896 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.6 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
de280e8eb5e3b65a1c0a965376904ef843232b3e | 81 | py | Python | lib/__init__.py | jwilk/urlycue | 51b6ed6f9f7c98a52b92a4eccd04f10fbc575ae6 | [
"MIT"
] | 1 | 2017-12-14T18:31:22.000Z | 2017-12-14T18:31:22.000Z | lib/__init__.py | jwilk/urlycue | 51b6ed6f9f7c98a52b92a4eccd04f10fbc575ae6 | [
"MIT"
] | 1 | 2022-01-29T20:40:23.000Z | 2022-01-29T20:40:23.000Z | lib/__init__.py | jwilk/urlycue | 51b6ed6f9f7c98a52b92a4eccd04f10fbc575ae6 | [
"MIT"
] | 1 | 2019-09-19T11:02:22.000Z | 2019-09-19T11:02:22.000Z | '''
urlycue's private modules
'''
type(1 or 0 @ 0) # Python >= 3.5 is required
| 13.5 | 45 | 0.604938 | 14 | 81 | 3.5 | 0.928571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.079365 | 0.222222 | 81 | 5 | 46 | 16.2 | 0.698413 | 0.641975 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
de4dd57c3748743beca6545301c969abd747157b | 661 | py | Python | minions/models.py | sara/Assemble-the-Minions | e061c067e855fd54dffdc1b1b5a8be6db661a851 | [
"MIT"
] | null | null | null | minions/models.py | sara/Assemble-the-Minions | e061c067e855fd54dffdc1b1b5a8be6db661a851 | [
"MIT"
] | null | null | null | minions/models.py | sara/Assemble-the-Minions | e061c067e855fd54dffdc1b1b5a8be6db661a851 | [
"MIT"
] | null | null | null | #!venv/bin/python
from minions import db
from flask.ext.login import UserMixin
class Ambassador(db.Model):
__tablename__ = 'ambassadors'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.String(45))
phone = db.Column(db.String)
ethnicity = db.Column(db.String(45))
gender = db.Column(db.String(45))
numvisits = db.Column(db.String(45))
rank = db.Column(db.String(45))
gradcode = db.Column(db.String(45))
class Schedule(db.Model):
__tablename__ = 'schedules'
id = db.Column(db.Integer, primary_key=True)
day = db.Column(db.String(45))
start = db.Column(db.Float)
end = db.Column(db.Float)
| 30.045455 | 48 | 0.677761 | 98 | 661 | 4.469388 | 0.377551 | 0.219178 | 0.273973 | 0.292237 | 0.438356 | 0.150685 | 0.150685 | 0.150685 | 0 | 0 | 0 | 0.025641 | 0.173979 | 661 | 21 | 49 | 31.47619 | 0.776557 | 0.024206 | 0 | 0.111111 | 0 | 0 | 0.031056 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 1 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
de53ea7b94cf04d71240795e1eed9c129d97a054 | 503 | py | Python | speedinfo/managers.py | IgorCode/django-speedinfo | dd3c25e0a6fe2ab640c1010bd12d54ae74749093 | [
"MIT"
] | 50 | 2017-11-08T16:07:28.000Z | 2022-03-27T09:47:12.000Z | speedinfo/managers.py | IgorCode/django-speedinfo | dd3c25e0a6fe2ab640c1010bd12d54ae74749093 | [
"MIT"
] | 8 | 2018-02-01T15:56:52.000Z | 2021-01-19T06:04:00.000Z | speedinfo/managers.py | IgorCode/django-speedinfo | dd3c25e0a6fe2ab640c1010bd12d54ae74749093 | [
"MIT"
] | 9 | 2017-11-26T17:39:21.000Z | 2021-06-10T20:29:13.000Z | # coding: utf-8
from django.db import models
from speedinfo import profiler
class ViewProfilerQuerySet(models.QuerySet):
"""
Overrides standard QuerySet behaviour to return objects
from profiler storage. Hack is working only for `all()`,
`order_by()` and `count()` methods and was made for integration
with Django admin.
"""
def _fetch_all(self):
self._result_cache = profiler.storage.fetch_all(self.query.order_by)
def count(self):
return len(self)
| 25.15 | 76 | 0.701789 | 66 | 503 | 5.242424 | 0.651515 | 0.086705 | 0.069364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002513 | 0.208748 | 503 | 19 | 77 | 26.473684 | 0.866834 | 0.417495 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.285714 | 0.142857 | 0.857143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
de54594f7694b23e8b843a5336c31082bad692bd | 23,538 | py | Python | intersight/model/inventory_base_all_of.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 5 | 2021-12-16T15:13:32.000Z | 2022-03-29T16:09:54.000Z | intersight/model/inventory_base_all_of.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 4 | 2022-01-25T19:05:51.000Z | 2022-03-29T20:18:37.000Z | intersight/model/inventory_base_all_of.py | CiscoDevNet/intersight-python | 04b721f37c3044646a91c185c7259edfb991557a | [
"Apache-2.0"
] | 2 | 2020-07-07T15:01:08.000Z | 2022-01-31T04:27:35.000Z | """
Cisco Intersight
Cisco Intersight is a management platform delivered as a service with embedded analytics for your Cisco and 3rd party IT infrastructure. This platform offers an intelligent level of management that enables IT organizations to analyze, simplify, and automate their environments in more advanced ways than the prior generations of tools. Cisco Intersight provides an integrated and intuitive management experience for resources in the traditional data center as well as at the edge. With flexible deployment options to address complex security needs, getting started with Intersight is quick and easy. Cisco Intersight has deep integration with Cisco UCS and HyperFlex systems allowing for remote deployment, configuration, and ongoing maintenance. The model-based deployment works for a single system in a remote location or hundreds of systems in a data center and enables rapid, standardized configuration and deployment. It also streamlines maintaining those systems whether you are working with small or very large configurations. The Intersight OpenAPI document defines the complete set of properties that are returned in the HTTP response. From that perspective, a client can expect that no additional properties are returned, unless these properties are explicitly defined in the OpenAPI document. However, when a client uses an older version of the Intersight OpenAPI document, the server may send additional properties because the software is more recent than the client. In that case, the client may receive properties that it does not know about. Some generated SDKs perform a strict validation of the HTTP response body against the OpenAPI document. # noqa: E501
The version of the OpenAPI document: 1.0.9-4950
Contact: intersight@cisco.com
Generated by: https://openapi-generator.tech
"""
import re # noqa: F401
import sys # noqa: F401
from intersight.model_utils import ( # noqa: F401
ApiTypeError,
ModelComposed,
ModelNormal,
ModelSimple,
cached_property,
change_keys_js_to_python,
convert_js_args_to_python_args,
date,
datetime,
file_type,
none_type,
validate_get_composed_info,
)
class InventoryBaseAllOf(ModelNormal):
"""NOTE: This class is auto generated by OpenAPI Generator.
Ref: https://openapi-generator.tech
Do not edit the class manually.
Attributes:
allowed_values (dict): The key is the tuple path to the attribute
and the for var_name this is (var_name,). The value is a dict
with a capitalized key describing the allowed value and an allowed
value. These dicts store the allowed enum values.
attribute_map (dict): The key is attribute name
and the value is json key in definition.
discriminator_value_class_map (dict): A dict to go from the discriminator
variable value to the discriminator class name.
validations (dict): The key is the tuple path to the attribute
and the for var_name this is (var_name,). The value is a dict
that stores validations for max_length, min_length, max_items,
min_items, exclusive_maximum, inclusive_maximum, exclusive_minimum,
inclusive_minimum, and regex.
additional_properties_type (tuple): A tuple of classes accepted
as additional properties values.
"""
allowed_values = {
('class_id',): {
'ADAPTER.EXTETHINTERFACE': "adapter.ExtEthInterface",
'ADAPTER.HOSTETHINTERFACE': "adapter.HostEthInterface",
'ADAPTER.HOSTFCINTERFACE': "adapter.HostFcInterface",
'ADAPTER.HOSTISCSIINTERFACE': "adapter.HostIscsiInterface",
'ADAPTER.UNIT': "adapter.Unit",
'ADAPTER.UNITEXPANDER': "adapter.UnitExpander",
'BIOS.BOOTMODE': "bios.BootMode",
'BIOS.TOKENSETTINGS': "bios.TokenSettings",
'BIOS.UNIT': "bios.Unit",
'BIOS.VFSELECTMEMORYRASCONFIGURATION': "bios.VfSelectMemoryRasConfiguration",
'BOOT.CDDDEVICE': "boot.CddDevice",
'BOOT.DEVICEBOOTMODE': "boot.DeviceBootMode",
'BOOT.DEVICEBOOTSECURITY': "boot.DeviceBootSecurity",
'BOOT.HDDDEVICE': "boot.HddDevice",
'BOOT.ISCSIDEVICE': "boot.IscsiDevice",
'BOOT.NVMEDEVICE': "boot.NvmeDevice",
'BOOT.PCHSTORAGEDEVICE': "boot.PchStorageDevice",
'BOOT.PXEDEVICE': "boot.PxeDevice",
'BOOT.SANDEVICE': "boot.SanDevice",
'BOOT.SDDEVICE': "boot.SdDevice",
'BOOT.UEFISHELLDEVICE': "boot.UefiShellDevice",
'BOOT.USBDEVICE': "boot.UsbDevice",
'BOOT.VMEDIADEVICE': "boot.VmediaDevice",
'COMPUTE.BLADE': "compute.Blade",
'COMPUTE.BOARD': "compute.Board",
'COMPUTE.MAPPING': "compute.Mapping",
'COMPUTE.RACKUNIT': "compute.RackUnit",
'COMPUTE.SERVERSETTING': "compute.ServerSetting",
'COMPUTE.VMEDIA': "compute.Vmedia",
'EQUIPMENT.CHASSIS': "equipment.Chassis",
'EQUIPMENT.EXPANDERMODULE': "equipment.ExpanderModule",
'EQUIPMENT.FAN': "equipment.Fan",
'EQUIPMENT.FANCONTROL': "equipment.FanControl",
'EQUIPMENT.FANMODULE': "equipment.FanModule",
'EQUIPMENT.FEX': "equipment.Fex",
'EQUIPMENT.FRU': "equipment.Fru",
'EQUIPMENT.IOCARD': "equipment.IoCard",
'EQUIPMENT.IOEXPANDER': "equipment.IoExpander",
'EQUIPMENT.LOCATORLED': "equipment.LocatorLed",
'EQUIPMENT.PSU': "equipment.Psu",
'EQUIPMENT.PSUCONTROL': "equipment.PsuControl",
'EQUIPMENT.RACKENCLOSURE': "equipment.RackEnclosure",
'EQUIPMENT.RACKENCLOSURESLOT': "equipment.RackEnclosureSlot",
'EQUIPMENT.SHAREDIOMODULE': "equipment.SharedIoModule",
'EQUIPMENT.SWITCHCARD': "equipment.SwitchCard",
'EQUIPMENT.SYSTEMIOCONTROLLER': "equipment.SystemIoController",
'EQUIPMENT.TPM': "equipment.Tpm",
'EQUIPMENT.TRANSCEIVER': "equipment.Transceiver",
'ETHER.HOSTPORT': "ether.HostPort",
'ETHER.NETWORKPORT': "ether.NetworkPort",
'ETHER.PHYSICALPORT': "ether.PhysicalPort",
'ETHER.PORTCHANNEL': "ether.PortChannel",
'FAULT.INSTANCE': "fault.Instance",
'FC.PHYSICALPORT': "fc.PhysicalPort",
'FC.PORTCHANNEL': "fc.PortChannel",
'FIRMWARE.RUNNINGFIRMWARE': "firmware.RunningFirmware",
'GRAPHICS.CARD': "graphics.Card",
'GRAPHICS.CONTROLLER': "graphics.Controller",
'INVENTORY.GENERICINVENTORY': "inventory.GenericInventory",
'INVENTORY.GENERICINVENTORYHOLDER': "inventory.GenericInventoryHolder",
'LS.SERVICEPROFILE': "ls.ServiceProfile",
'MANAGEMENT.CONTROLLER': "management.Controller",
'MANAGEMENT.ENTITY': "management.Entity",
'MANAGEMENT.INTERFACE': "management.Interface",
'MEMORY.ARRAY': "memory.Array",
'MEMORY.PERSISTENTMEMORYCONFIGRESULT': "memory.PersistentMemoryConfigResult",
'MEMORY.PERSISTENTMEMORYCONFIGURATION': "memory.PersistentMemoryConfiguration",
'MEMORY.PERSISTENTMEMORYNAMESPACE': "memory.PersistentMemoryNamespace",
'MEMORY.PERSISTENTMEMORYNAMESPACECONFIGRESULT': "memory.PersistentMemoryNamespaceConfigResult",
'MEMORY.PERSISTENTMEMORYREGION': "memory.PersistentMemoryRegion",
'MEMORY.PERSISTENTMEMORYUNIT': "memory.PersistentMemoryUnit",
'MEMORY.UNIT': "memory.Unit",
'NETWORK.ELEMENT': "network.Element",
'NETWORK.FCZONEINFO': "network.FcZoneInfo",
'NETWORK.VLANPORTINFO': "network.VlanPortInfo",
'PCI.COPROCESSORCARD': "pci.CoprocessorCard",
'PCI.DEVICE': "pci.Device",
'PCI.LINK': "pci.Link",
'PCI.SWITCH': "pci.Switch",
'PORT.GROUP': "port.Group",
'PORT.MACBINDING': "port.MacBinding",
'PORT.SUBGROUP': "port.SubGroup",
'PROCESSOR.UNIT': "processor.Unit",
'RACK.UNITPERSONALITY': "rack.UnitPersonality",
'SECURITY.UNIT': "security.Unit",
'STORAGE.CONTROLLER': "storage.Controller",
'STORAGE.DISKGROUP': "storage.DiskGroup",
'STORAGE.DISKSLOT': "storage.DiskSlot",
'STORAGE.ENCLOSURE': "storage.Enclosure",
'STORAGE.ENCLOSUREDISK': "storage.EnclosureDisk",
'STORAGE.ENCLOSUREDISKSLOTEP': "storage.EnclosureDiskSlotEp",
'STORAGE.FLEXFLASHCONTROLLER': "storage.FlexFlashController",
'STORAGE.FLEXFLASHCONTROLLERPROPS': "storage.FlexFlashControllerProps",
'STORAGE.FLEXFLASHPHYSICALDRIVE': "storage.FlexFlashPhysicalDrive",
'STORAGE.FLEXFLASHVIRTUALDRIVE': "storage.FlexFlashVirtualDrive",
'STORAGE.FLEXUTILCONTROLLER': "storage.FlexUtilController",
'STORAGE.FLEXUTILPHYSICALDRIVE': "storage.FlexUtilPhysicalDrive",
'STORAGE.FLEXUTILVIRTUALDRIVE': "storage.FlexUtilVirtualDrive",
'STORAGE.HITACHIARRAY': "storage.HitachiArray",
'STORAGE.HITACHICONTROLLER': "storage.HitachiController",
'STORAGE.HITACHIDISK': "storage.HitachiDisk",
'STORAGE.ITEM': "storage.Item",
'STORAGE.NETAPPBASEDISK': "storage.NetAppBaseDisk",
'STORAGE.NETAPPCLUSTER': "storage.NetAppCluster",
'STORAGE.NETAPPNODE': "storage.NetAppNode",
'STORAGE.PHYSICALDISK': "storage.PhysicalDisk",
'STORAGE.PHYSICALDISKEXTENSION': "storage.PhysicalDiskExtension",
'STORAGE.PHYSICALDISKUSAGE': "storage.PhysicalDiskUsage",
'STORAGE.PUREARRAY': "storage.PureArray",
'STORAGE.PURECONTROLLER': "storage.PureController",
'STORAGE.PUREDISK': "storage.PureDisk",
'STORAGE.SASEXPANDER': "storage.SasExpander",
'STORAGE.SASPORT': "storage.SasPort",
'STORAGE.SPAN': "storage.Span",
'STORAGE.VDMEMBEREP': "storage.VdMemberEp",
'STORAGE.VIRTUALDRIVE': "storage.VirtualDrive",
'STORAGE.VIRTUALDRIVECONTAINER': "storage.VirtualDriveContainer",
'STORAGE.VIRTUALDRIVEEXTENSION': "storage.VirtualDriveExtension",
'TOP.SYSTEM': "top.System",
},
('object_type',): {
'ADAPTER.EXTETHINTERFACE': "adapter.ExtEthInterface",
'ADAPTER.HOSTETHINTERFACE': "adapter.HostEthInterface",
'ADAPTER.HOSTFCINTERFACE': "adapter.HostFcInterface",
'ADAPTER.HOSTISCSIINTERFACE': "adapter.HostIscsiInterface",
'ADAPTER.UNIT': "adapter.Unit",
'ADAPTER.UNITEXPANDER': "adapter.UnitExpander",
'BIOS.BOOTMODE': "bios.BootMode",
'BIOS.TOKENSETTINGS': "bios.TokenSettings",
'BIOS.UNIT': "bios.Unit",
'BIOS.VFSELECTMEMORYRASCONFIGURATION': "bios.VfSelectMemoryRasConfiguration",
'BOOT.CDDDEVICE': "boot.CddDevice",
'BOOT.DEVICEBOOTMODE': "boot.DeviceBootMode",
'BOOT.DEVICEBOOTSECURITY': "boot.DeviceBootSecurity",
'BOOT.HDDDEVICE': "boot.HddDevice",
'BOOT.ISCSIDEVICE': "boot.IscsiDevice",
'BOOT.NVMEDEVICE': "boot.NvmeDevice",
'BOOT.PCHSTORAGEDEVICE': "boot.PchStorageDevice",
'BOOT.PXEDEVICE': "boot.PxeDevice",
'BOOT.SANDEVICE': "boot.SanDevice",
'BOOT.SDDEVICE': "boot.SdDevice",
'BOOT.UEFISHELLDEVICE': "boot.UefiShellDevice",
'BOOT.USBDEVICE': "boot.UsbDevice",
'BOOT.VMEDIADEVICE': "boot.VmediaDevice",
'COMPUTE.BLADE': "compute.Blade",
'COMPUTE.BOARD': "compute.Board",
'COMPUTE.MAPPING': "compute.Mapping",
'COMPUTE.RACKUNIT': "compute.RackUnit",
'COMPUTE.SERVERSETTING': "compute.ServerSetting",
'COMPUTE.VMEDIA': "compute.Vmedia",
'EQUIPMENT.CHASSIS': "equipment.Chassis",
'EQUIPMENT.EXPANDERMODULE': "equipment.ExpanderModule",
'EQUIPMENT.FAN': "equipment.Fan",
'EQUIPMENT.FANCONTROL': "equipment.FanControl",
'EQUIPMENT.FANMODULE': "equipment.FanModule",
'EQUIPMENT.FEX': "equipment.Fex",
'EQUIPMENT.FRU': "equipment.Fru",
'EQUIPMENT.IOCARD': "equipment.IoCard",
'EQUIPMENT.IOEXPANDER': "equipment.IoExpander",
'EQUIPMENT.LOCATORLED': "equipment.LocatorLed",
'EQUIPMENT.PSU': "equipment.Psu",
'EQUIPMENT.PSUCONTROL': "equipment.PsuControl",
'EQUIPMENT.RACKENCLOSURE': "equipment.RackEnclosure",
'EQUIPMENT.RACKENCLOSURESLOT': "equipment.RackEnclosureSlot",
'EQUIPMENT.SHAREDIOMODULE': "equipment.SharedIoModule",
'EQUIPMENT.SWITCHCARD': "equipment.SwitchCard",
'EQUIPMENT.SYSTEMIOCONTROLLER': "equipment.SystemIoController",
'EQUIPMENT.TPM': "equipment.Tpm",
'EQUIPMENT.TRANSCEIVER': "equipment.Transceiver",
'ETHER.HOSTPORT': "ether.HostPort",
'ETHER.NETWORKPORT': "ether.NetworkPort",
'ETHER.PHYSICALPORT': "ether.PhysicalPort",
'ETHER.PORTCHANNEL': "ether.PortChannel",
'FAULT.INSTANCE': "fault.Instance",
'FC.PHYSICALPORT': "fc.PhysicalPort",
'FC.PORTCHANNEL': "fc.PortChannel",
'FIRMWARE.RUNNINGFIRMWARE': "firmware.RunningFirmware",
'GRAPHICS.CARD': "graphics.Card",
'GRAPHICS.CONTROLLER': "graphics.Controller",
'INVENTORY.GENERICINVENTORY': "inventory.GenericInventory",
'INVENTORY.GENERICINVENTORYHOLDER': "inventory.GenericInventoryHolder",
'LS.SERVICEPROFILE': "ls.ServiceProfile",
'MANAGEMENT.CONTROLLER': "management.Controller",
'MANAGEMENT.ENTITY': "management.Entity",
'MANAGEMENT.INTERFACE': "management.Interface",
'MEMORY.ARRAY': "memory.Array",
'MEMORY.PERSISTENTMEMORYCONFIGRESULT': "memory.PersistentMemoryConfigResult",
'MEMORY.PERSISTENTMEMORYCONFIGURATION': "memory.PersistentMemoryConfiguration",
'MEMORY.PERSISTENTMEMORYNAMESPACE': "memory.PersistentMemoryNamespace",
'MEMORY.PERSISTENTMEMORYNAMESPACECONFIGRESULT': "memory.PersistentMemoryNamespaceConfigResult",
'MEMORY.PERSISTENTMEMORYREGION': "memory.PersistentMemoryRegion",
'MEMORY.PERSISTENTMEMORYUNIT': "memory.PersistentMemoryUnit",
'MEMORY.UNIT': "memory.Unit",
'NETWORK.ELEMENT': "network.Element",
'NETWORK.FCZONEINFO': "network.FcZoneInfo",
'NETWORK.VLANPORTINFO': "network.VlanPortInfo",
'PCI.COPROCESSORCARD': "pci.CoprocessorCard",
'PCI.DEVICE': "pci.Device",
'PCI.LINK': "pci.Link",
'PCI.SWITCH': "pci.Switch",
'PORT.GROUP': "port.Group",
'PORT.MACBINDING': "port.MacBinding",
'PORT.SUBGROUP': "port.SubGroup",
'PROCESSOR.UNIT': "processor.Unit",
'RACK.UNITPERSONALITY': "rack.UnitPersonality",
'SECURITY.UNIT': "security.Unit",
'STORAGE.CONTROLLER': "storage.Controller",
'STORAGE.DISKGROUP': "storage.DiskGroup",
'STORAGE.DISKSLOT': "storage.DiskSlot",
'STORAGE.ENCLOSURE': "storage.Enclosure",
'STORAGE.ENCLOSUREDISK': "storage.EnclosureDisk",
'STORAGE.ENCLOSUREDISKSLOTEP': "storage.EnclosureDiskSlotEp",
'STORAGE.FLEXFLASHCONTROLLER': "storage.FlexFlashController",
'STORAGE.FLEXFLASHCONTROLLERPROPS': "storage.FlexFlashControllerProps",
'STORAGE.FLEXFLASHPHYSICALDRIVE': "storage.FlexFlashPhysicalDrive",
'STORAGE.FLEXFLASHVIRTUALDRIVE': "storage.FlexFlashVirtualDrive",
'STORAGE.FLEXUTILCONTROLLER': "storage.FlexUtilController",
'STORAGE.FLEXUTILPHYSICALDRIVE': "storage.FlexUtilPhysicalDrive",
'STORAGE.FLEXUTILVIRTUALDRIVE': "storage.FlexUtilVirtualDrive",
'STORAGE.HITACHIARRAY': "storage.HitachiArray",
'STORAGE.HITACHICONTROLLER': "storage.HitachiController",
'STORAGE.HITACHIDISK': "storage.HitachiDisk",
'STORAGE.ITEM': "storage.Item",
'STORAGE.NETAPPBASEDISK': "storage.NetAppBaseDisk",
'STORAGE.NETAPPCLUSTER': "storage.NetAppCluster",
'STORAGE.NETAPPNODE': "storage.NetAppNode",
'STORAGE.PHYSICALDISK': "storage.PhysicalDisk",
'STORAGE.PHYSICALDISKEXTENSION': "storage.PhysicalDiskExtension",
'STORAGE.PHYSICALDISKUSAGE': "storage.PhysicalDiskUsage",
'STORAGE.PUREARRAY': "storage.PureArray",
'STORAGE.PURECONTROLLER': "storage.PureController",
'STORAGE.PUREDISK': "storage.PureDisk",
'STORAGE.SASEXPANDER': "storage.SasExpander",
'STORAGE.SASPORT': "storage.SasPort",
'STORAGE.SPAN': "storage.Span",
'STORAGE.VDMEMBEREP': "storage.VdMemberEp",
'STORAGE.VIRTUALDRIVE': "storage.VirtualDrive",
'STORAGE.VIRTUALDRIVECONTAINER': "storage.VirtualDriveContainer",
'STORAGE.VIRTUALDRIVEEXTENSION': "storage.VirtualDriveExtension",
'TOP.SYSTEM': "top.System",
},
}
validations = {
}
additional_properties_type = None
_nullable = False
@cached_property
def openapi_types():
"""
This must be a method because a model may have properties that are
of type self, this must run after the class is loaded
Returns
openapi_types (dict): The key is attribute name
and the value is attribute type.
"""
return {
'class_id': (str,), # noqa: E501
'object_type': (str,), # noqa: E501
'device_mo_id': (str,), # noqa: E501
'dn': (str,), # noqa: E501
'rn': (str,), # noqa: E501
}
@cached_property
def discriminator():
return None
attribute_map = {
'class_id': 'ClassId', # noqa: E501
'object_type': 'ObjectType', # noqa: E501
'device_mo_id': 'DeviceMoId', # noqa: E501
'dn': 'Dn', # noqa: E501
'rn': 'Rn', # noqa: E501
}
_composed_schemas = {}
required_properties = set([
'_data_store',
'_check_type',
'_spec_property_naming',
'_path_to_item',
'_configuration',
'_visited_composed_classes',
])
@convert_js_args_to_python_args
def __init__(self, class_id, object_type, *args, **kwargs): # noqa: E501
"""InventoryBaseAllOf - a model defined in OpenAPI
Args:
class_id (str): The fully-qualified name of the instantiated, concrete type. This property is used as a discriminator to identify the type of the payload when marshaling and unmarshaling data. The enum values provides the list of concrete types that can be instantiated from this abstract type.
object_type (str): The fully-qualified name of the instantiated, concrete type. The value should be the same as the 'ClassId' property. The enum values provides the list of concrete types that can be instantiated from this abstract type.
Keyword Args:
_check_type (bool): if True, values for parameters in openapi_types
will be type checked and a TypeError will be
raised if the wrong type is input.
Defaults to True
_path_to_item (tuple/list): This is a list of keys or values to
drill down to the model in received_data
when deserializing a response
_spec_property_naming (bool): True if the variable names in the input data
are serialized names, as specified in the OpenAPI document.
False if the variable names in the input data
are pythonic names, e.g. snake case (default)
_configuration (Configuration): the instance to use when
deserializing a file_type parameter.
If passed, type conversion is attempted
If omitted no type conversion is done.
_visited_composed_classes (tuple): This stores a tuple of
classes that we have traveled through so that
if we see that class again we will not use its
discriminator again.
When traveling through a discriminator, the
composed schema that is
is traveled through is added to this set.
For example if Animal has a discriminator
petType and we pass in "Dog", and the class Dog
allOf includes Animal, we move through Animal
once using the discriminator, and pick Dog.
Then in Dog, we will make an instance of the
Animal class but this time we won't travel
through its discriminator because we passed in
_visited_composed_classes = (Animal,)
device_mo_id (str): The database identifier of the registered device of an object.. [optional] # noqa: E501
dn (str): The Distinguished Name unambiguously identifies an object in the system.. [optional] # noqa: E501
rn (str): The Relative Name uniquely identifies an object within a given context.. [optional] # noqa: E501
"""
_check_type = kwargs.pop('_check_type', True)
_spec_property_naming = kwargs.pop('_spec_property_naming', False)
_path_to_item = kwargs.pop('_path_to_item', ())
_configuration = kwargs.pop('_configuration', None)
_visited_composed_classes = kwargs.pop('_visited_composed_classes', ())
if args:
raise ApiTypeError(
"Invalid positional arguments=%s passed to %s. Remove those invalid positional arguments." % (
args,
self.__class__.__name__,
),
path_to_item=_path_to_item,
valid_classes=(self.__class__,),
)
self._data_store = {}
self._check_type = _check_type
self._spec_property_naming = _spec_property_naming
self._path_to_item = _path_to_item
self._configuration = _configuration
self._visited_composed_classes = _visited_composed_classes + (self.__class__,)
self.class_id = class_id
self.object_type = object_type
for var_name, var_value in kwargs.items():
if var_name not in self.attribute_map and \
self._configuration is not None and \
self._configuration.discard_unknown_keys and \
self.additional_properties_type is None:
# discard variable.
continue
setattr(self, var_name, var_value)
| 55.253521 | 1,678 | 0.62979 | 2,110 | 23,538 | 6.934597 | 0.227962 | 0.008201 | 0.005467 | 0.00328 | 0.649399 | 0.646938 | 0.640787 | 0.640787 | 0.640787 | 0.636003 | 0 | 0.003599 | 0.268035 | 23,538 | 425 | 1,679 | 55.383529 | 0.845667 | 0.261874 | 0 | 0.740741 | 0 | 0 | 0.571809 | 0.266035 | 0 | 0 | 0 | 0 | 0 | 1 | 0.009259 | false | 0.003086 | 0.009259 | 0.003086 | 0.049383 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
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