xszheng2020/the_stack_dedup_python_hits_7 · Datasets at Hugging Face

925223d3f0e0b7eb079fde3bd4a1c7613f350d0e

116

py

Python

fuzzc/__init__.py

KiLJ4EdeN/fuzzc

42bedc29198db97c412e5498782b1f80124321ee

[ "MIT" ]

8

2020-04-08T15:05:30.000Z

2021-05-08T13:21:14.000Z

fuzzc/__init__.py

KiLJ4EdeN/fuzzc

42bedc29198db97c412e5498782b1f80124321ee

[ "MIT" ]

1

2020-04-09T07:21:32.000Z

2020-04-11T14:59:44.000Z

fuzzc/__init__.py

KiLJ4EdeN/fuzzc

42bedc29198db97c412e5498782b1f80124321ee

[ "MIT" ]

3

2020-04-08T17:23:52.000Z

2020-09-29T10:15:26.000Z

from fuzzc.core import * from fuzzc.entropy import * from fuzzc.memberships import * from fuzzc.operations import *

23.2

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1

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7

9290032db5ff0239fd40f4cecbcf9d3e1245f433

1,200

py

Python

tests/stories/liquidation_stories.py

subba72/balanced-contracts

23d2c283c26ce78985b169a204db187f0956b35b

[ "MIT" ]

12

2020-08-05T00:28:33.000Z

2022-03-15T03:55:05.000Z

tests/stories/liquidation_stories.py

subba72/balanced-contracts

23d2c283c26ce78985b169a204db187f0956b35b

[ "MIT" ]

212

2021-04-20T01:06:45.000Z

2022-02-04T03:38:28.000Z

tests/stories/liquidation_stories.py

subba72/balanced-contracts

23d2c283c26ce78985b169a204db187f0956b35b

[ "MIT" ]

10

2021-01-15T03:01:58.000Z

2022-02-13T03:20:48.000Z

ICX = 10**18 LIQUIDATION_STORIES = { "stories": [{ "description": "liquidating btest_wallet account by depositing 782 icx collateral and minting 2000 " "bnusd loan", "actions": { "deposited_icx": 782769 * ICX // 1000, "test_icx": 600, "test_bnUSD": 2000 * ICX, "expected_initial_position": "No Debt", "expected_position": "Liquidate", "expected_result": "Zero" } }, { "description": "liquidating btest_wallet account by depositing 782 icx collateral and minting " "1500 bnusd loan", "actions": { "deposited_icx": 782769 * ICX // 1000, "test_icx": 600, "test_bnUSD": 1500 * ICX, "expected_initial_position": "No Debt", "expected_position": "Liquidate", "expected_result": "Zero" } } ] }

41.37931

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0

null

0

7

92abdccad7c40cd6897a76d68b65d6f7ca1d7ca7

24,230

py

Python

final_coding.py

White-Brett/Nutrients-Prediction

bb2c3bfe3718b41fa8e31bcb19ce50c00aa85b66

[ "CC0-1.0" ]

null

final_coding.py

White-Brett/Nutrients-Prediction

bb2c3bfe3718b41fa8e31bcb19ce50c00aa85b66

[ "CC0-1.0" ]

null

final_coding.py

White-Brett/Nutrients-Prediction

bb2c3bfe3718b41fa8e31bcb19ce50c00aa85b66

[ "CC0-1.0" ]

null

Python 3.8.2 (tags/v3.8.2:7b3ab59, Feb 25 2020, 23:03:10) [MSC v.1916 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license()" for more information. >>> import numpy as np >>> import pandas as pd >>> import random >>> import matplotlib.pyplot as plt >>> t_1= pd.read_excel("C:/Users/BrettData/Desktop/capst/fertiliser-use.xlsx", sheet_name=0, header=3, names=None, index_col=None, keep_default_na=False) >>> a=t_1.sample(5) >>> t1=t_1.iloc[43:59,1:5] >>> t_2= pd.read_excel("C:/Users/BrettData/Desktop/capst/fertiliser-use.xlsx", sheet_name=1, header=3, names=None, index_col=None, keep_default_na=False) >>> b=t_2.sample(5) >>> t2=t_2.iloc[43:59,1:5] >>> a1=np.where(t1-t2) >>> a2=np.where(a-b) >>> a1 (array([ 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 15, 15, 15], dtype=int64), array([0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7], dtype=int64)) >>> a2 (array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9], dtype=int64), array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], dtype=int64)) >>> t_1= pd.read_excel("C:/Users/BrettData/Desktop/capst/fertiliser-use.xlsx", sheet_name=2, header=2, names=None, index_col=None, keep_default_na=False) >>> t_1= pd.read_excel("C:/Users/BrettData/Desktop/capst/fertiliser-use.xlsx", sheet_name=0, header=3, names=None, index_col=None, keep_default_na=False) >>> t_3= pd.read_excel("C:/Users/BrettData/Desktop/capst/fertiliser-use.xlsx", sheet_name=2, header=2, names=None, index_col=None, keep_default_na=False) >>> c=t_3.sample(5) >>> tt3=t_3.iloc[43:59,1:9] >>> t3=tt3.drop(columns='Unnamed: 3') >>> t_4= pd.read_excel("C:/Users/BrettData/Desktop/capst/fertiliser-use.xlsx", sheet_name=3, header=2, names=None, index_col=None, keep_default_na=False) >>> d=t_4.sample(5) >>> tt4=t_4.iloc[17:35,1:9] >>> t4=tt4.drop(columns='Unnamed: 5') >>> b1=np.where(t3-t4) >>> b2=np.where(c-d) >>> b1 (array([ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32], dtype=int64), array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13], dtype=int64)) >>> b2 (array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9], dtype=int64), array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], dtype=int64)) >>> c1=np.where(a1-b2) Traceback (most recent call last): File "<pyshell#28>", line 1, in <module> c1=np.where(a1-b2) TypeError: unsupported operand type(s) for -: 'tuple' and 'tuple' >>> a1.plot() Traceback (most recent call last): File "<pyshell#29>", line 1, in <module> a1.plot() AttributeError: 'tuple' object has no attribute 'plot' >>> a2.plot() Traceback (most recent call last): File "<pyshell#30>", line 1, in <module> a2.plot() AttributeError: 'tuple' object has no attribute 'plot' >>> a1 (array([ 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 15, 15, 15], dtype=int64), array([0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7, 0, 1, 2, 3, 4, 5, 6, 7], dtype=int64)) >>> b1 (array([ 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 11, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 12, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 13, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 14, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 15, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 16, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 17, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 18, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 19, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 21, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 22, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 23, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 24, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 25, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 26, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 27, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 28, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 29, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 30, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 31, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32, 32], dtype=int64), array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13], dtype=int64)) >>> a2 (array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9], dtype=int64), array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15], dtype=int64)) >>> b2 (array([0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 5, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 6, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 7, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 8, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9, 9], dtype=int64), array([ 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19], dtype=int64)) >>> t1.plot() <matplotlib.axes._subplots.AxesSubplot object at 0x000002C21EF413D0> >>> plot.show() Traceback (most recent call last): File "<pyshell#36>", line 1, in <module> plot.show() NameError: name 'plot' is not defined >>> plt.show() >>> t1.plot(kind='area') <matplotlib.axes._subplots.AxesSubplot object at 0x000002C21EF41640> >>> plt.show <function show at 0x000002C21CA5A820> >>> plt.show() >>> t1.plot(kind='area') <matplotlib.axes._subplots.AxesSubplot object at 0x000002C21EF4B1F0> >>> plt.show() >>> t1.plot(kind='hist') <matplotlib.axes._subplots.AxesSubplot object at 0x000002C21F7808B0> >>> plt.show() >>> t2.plot() <matplotlib.axes._subplots.AxesSubplot object at 0x000002C21F17F370> >>> plt.show() >>> t2.plot(kind='area') <matplotlib.axes._subplots.AxesSubplot object at 0x000002C223287A60> >>> plt.show() >>> t2.plot(kind='hist') <matplotlib.axes._subplots.AxesSubplot object at 0x000002C21F154760> >>> plt.show() Traceback (most recent call last): File "<pyshell#50>", line 1, in <module> plt.show() File "C:\Users\BrettData\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\matplotlib\pyplot.py", line 269, in show return _show(*args, **kw) File "C:\Users\BrettData\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\matplotlib\cbook\deprecation.py", line 413, in wrapper return func(*args, **kwargs) File "C:\Users\BrettData\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\matplotlib\backend_bases.py", line 3311, in show cls.mainloop() File "C:\Users\BrettData\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\matplotlib\backends\_backend_tk.py", line 981, in mainloop managers[0].window.mainloop() File "C:\Program Files\WindowsApps\PythonSoftwareFoundation.Python.3.8_3.8.752.0_x64__qbz5n2kfra8p0\lib\tkinter\__init__.py", line 1420, in mainloop self.tk.mainloop(n) KeyboardInterrupt t3.plot() >>> t3.plot() <matplotlib.axes._subplots.AxesSubplot object at 0x000002C21EFBE6A0> >>> plt.show() >>> t3.plot(kind='area') <matplotlib.axes._subplots.AxesSubplot object at 0x000002C2205C8910> >>> plt.show() >>> t3.plot(kind='hist') <matplotlib.axes._subplots.AxesSubplot object at 0x000002C21F7BDCA0> >>> plt.show() >>> t4.plot() Traceback (most recent call last): File "<pyshell#57>", line 1, in <module> t4.plot() File "C:\Users\BrettData\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\pandas\plotting\_core.py", line 847, in __call__ return plot_backend.plot(data, kind=kind, **kwargs) File "C:\Users\BrettData\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\pandas\plotting\_matplotlib\__init__.py", line 61, in plot plot_obj.generate() File "C:\Users\BrettData\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\pandas\plotting\_matplotlib\core.py", line 261, in generate self._compute_plot_data() File "C:\Users\BrettData\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.8_qbz5n2kfra8p0\LocalCache\local-packages\Python38\site-packages\pandas\plotting\_matplotlib\core.py", line 410, in _compute_plot_data raise TypeError("no numeric data to plot") TypeError: no numeric data to plot >>> t4 Gypsum Sulfur Sulfuric Acid ... Compost Dried manure Sewage sludge 17 1415900 168985 44801 ... 88124 160680 152740 18 1440326 158030 43998 ... 67563 155974 232965 19 1162055 176607 105010 ... 86146 156870 92814 20 1314697 173377 103366 ... 67799 125754 106018 21 1489254 304627 139220 ... 80149 154455 58450 22 1489116 237807 111041 ... 96220 144157 117134 23 1533445 217365 116585 ... 104166 168805 84824 24 1399232 243301 108109 ... 74860 146050 96066 25 1543232 613711 63688 ... 133126 188751 87425 26 1396707 147768 74235 ... 77143 190435 173635 27 1649057 229019 87729 ... 43327 140137 96556 28 1729496 282780 103005 ... 94159 204104 73086 29 1856233 390792 79648 ... 170071 175738 110876 30 2201487 332744 122441 ... 171785 132704 230134 31 2337083 438076 405524 ... 118068 193179 214638 32 2488392 415240 933589 ... 111425 95810 211798 33 ... [17 rows x 7 columns] >>> t4=tt4=t_4.iloc[17:32,1:9] >>> t4.plot() <matplotlib.axes._subplots.AxesSubplot object at 0x000002C21EFBE820> >>> plt.show() >>> t4.plot(kind='area') <matplotlib.axes._subplots.AxesSubplot object at 0x000002C22071C2E0> >>> plt.show() >>> t4.plot(kind='hist') <matplotlib.axes._subplots.AxesSubplot object at 0x000002C21F5A0A90> >>> plt.show() >>> t3.columns Index(['Ammonia (Anhydrous)', 'Ammonia (Aqua)', 'Ammonium (Nitrate)', 'Ammonium (Sulfate)', ' Nitrogen solutions', ' Sodium nitrate', ' Urea '], dtype='object') >>> print random.randint(16000, 11000) SyntaxError: invalid syntax >>> import random >>> print( random.randint(16000, 11000) print SyntaxError: invalid syntax >>> print( random.randint(16000, 11000)

65.309973

219

0.446224

4,909

24,230

2.182522

0.070483

0.027254

0.038641

0.051521

0.794568

0.774501

0.769274

0.748927

0.720553

0.685925

0

0.394062

0.345316

24,230

371

220

65.309973

0.281347

0

0.6875

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0.024457

0.089518

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0

1

0

1

0

null

0

1

0

8

2b7eb48ed749bb68f5eb70986c8f71ab13c46df5

3,505

py

Python

gameComponents/comparisonConditional.py

brktrkmn/Rock-Paper-Scissors-Game

ce0cc9fde52573f1e55e78f40c132670581a12bd

[ "Unlicense" ]

null

gameComponents/comparisonConditional.py

brktrkmn/Rock-Paper-Scissors-Game

ce0cc9fde52573f1e55e78f40c132670581a12bd

[ "Unlicense" ]

null

gameComponents/comparisonConditional.py

brktrkmn/Rock-Paper-Scissors-Game

ce0cc9fde52573f1e55e78f40c132670581a12bd

[ "Unlicense" ]

null

from gameComponents import gameVars # 'if' is a conditional #() is not necessary with if # = sets the value # == compares values # you go in when using if (indenting) Indented elements are connected to the conditional def comparisonConditional(): if gameVars.computer_choice == gameVars.player_choice: print(" ") print(" //////////////////////") print(" # #") print(" # T-I-E ! #") print(" # #") print(" //////////////////////") print(" ") #elif->else if elif gameVars.computer_choice == "rock": if gameVars.player_choice == "scissors": print(" ") print(" //////////////////////") print(" # #") print(" # Y-O-U L-O-S-E ! #") print(" # #") print(" //////////////////////") print(" ") #long way #player_lives = player_lives -1 #simple way gameVars.player_lives -= 1 else: print(" ") print(" //////////////////////") print(" # #") print(" # Y-O-U W-I-N ! #") print(" # #") print(" //////////////////////") print(" ") gameVars.computer_lives -= 1 elif gameVars.computer_choice == "paper": if gameVars.player_choice == "scissors": print(" ") print(" //////////////////////") print(" # #") print(" # Y-O-U L-O-S-E ! #") print(" # #") print(" //////////////////////") print(" ") gameVars.player_lives -= 1 else: print(" ") print(" //////////////////////") print(" # #") print(" # Y-O-U W-I-N ! #") print(" # #") print(" //////////////////////") print(" ") gameVars.computer_lives-= 1 elif gameVars.computer_choice == "scissors": if gameVars.player_choice == "paper": print(" ") print(" //////////////////////") print(" # #") print(" # Y-O-U L-O-S-E ! #") print(" # #") print(" //////////////////////") print(" ") gameVars.player_lives -= 1 else: print(" ") print(" //////////////////////") print(" # #") print(" # Y-O-U W-I-N ! #") print(" # #") print(" //////////////////////") print(" ") gameVars.computer_lives -= 1

42.743902

89

0.258203

201

3,505

4.422886

0.263682

0.393701

0.354331

0.15748

0.561305

0

0.004447

0.550927

3,505

82

90

42.743902

0.560356

0.066476

0

0.880597

0

0.627337

0.094392

0

1

0.014925

true

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0.014925

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0.731343

0

null

1

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1

0

1

0

1

0

null

0

1

0

1

0

7

2bfe5397a4245f320a13f41f179a9416dd0fb888

12,953

py

Python

indra/benchmarks/benchmark_trips.py

zebulon2/indra

7727ddcab52ad8012eb6592635bfa114e904bd48

[ "BSD-2-Clause" ]

136

2016-02-11T22:06:37.000Z

2022-03-31T17:26:20.000Z

indra/benchmarks/benchmark_trips.py

zebulon2/indra

7727ddcab52ad8012eb6592635bfa114e904bd48

[ "BSD-2-Clause" ]

748

2016-02-03T16:27:56.000Z

2022-03-09T14:27:54.000Z

indra/benchmarks/benchmark_trips.py

zebulon2/indra

7727ddcab52ad8012eb6592635bfa114e904bd48

[ "BSD-2-Clause" ]

56

2015-08-28T14:03:44.000Z

2022-02-04T06:15:55.000Z

from __future__ import absolute_import, print_function, unicode_literals import os from os.path import dirname, join import sys import indra.statements from indra.sources import trips from indra.assemblers.pysb import PysbAssembler def test_bind(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'The receptor tyrosine kinase EGFR binds the growth factor ligand EGF.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_complex(st)) assert(len(st.members) == 2) assert(has_hgnc_ref(st.members[0])) assert(has_hgnc_ref(st.members[1])) os.remove(fname) def test_complex_bind(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'The EGFR-EGF complex binds another EGFR-EGF complex.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_complex(st)) assert(len(st.members) == 2) assert(has_hgnc_ref(st.members[0])) assert(has_hgnc_ref(st.members[1])) assert(st.members[0].bound_conditions) assert(st.members[1].bound_conditions) os.remove(fname) def test_complex_bind2(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'The EGFR-EGFR complex binds GRB2.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_complex(st)) assert(len(st.members) == 2) assert(st.members[0].name == 'EGFR') assert(st.members[1].name == 'GRB2') assert(len(st.members[0].bound_conditions) == 1) assert(st.members[0].bound_conditions[0].agent.name == 'EGFR') os.remove(fname) def test_complex_bind3(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'RAF binds to the RAS-GTP complex.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_complex(st)) assert(len(st.members) == 2) assert(st.members[0].name == 'RAF') assert(st.members[1].name == 'RAS') assert(len(st.members[1].bound_conditions) == 1) assert(st.members[1].bound_conditions[0].agent.name == 'GTP') os.remove(fname) def test_complex_bind4(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'The RAF-RAS complex binds another RAF-RAS complex.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_complex(st)) assert(len(st.members) == 2) assert(st.members[0].name == 'RAF') assert(st.members[1].name == 'RAF') assert(len(st.members[0].bound_conditions) == 1) assert(st.members[0].bound_conditions[0].agent.name == 'RAS') assert(len(st.members[1].bound_conditions) == 1) assert(st.members[1].bound_conditions[0].agent.name == 'RAS') os.remove(fname) def test_bound_mod(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'The adaptor protein GRB2 can bind EGFR that is phosphorylated on tyrosine.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_complex(st)) assert(len(st.members) == 2) assert(has_hgnc_ref(st.members[0])) assert(has_hgnc_ref(st.members[1])) assert(st.members[1].mods) assert(st.members[1].mods[0].mod_type == 'phosphorylation') assert(st.members[1].mods[0].residue == 'Y') os.remove(fname) def test_not_bound_to(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'BRAF that is not bound to Vemurafenib binds MEK1.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_complex(st)) assert(len(st.members) == 2) assert(st.members[0].name == 'BRAF') assert(has_hgnc_ref(st.members[0])) assert(st.members[1].name == 'MAP2K1') assert(has_hgnc_ref(st.members[1])) assert(len(st.members[0].bound_conditions) == 1) assert(st.members[0].bound_conditions[0].agent.name.lower() == 'vemurafenib') assert(st.members[0].bound_conditions[0].is_bound == False) os.remove(fname) def test_not_bound_to2(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'BRAF, not bound to Vemurafenib, phosphorylates MEK1.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_phosphorylation(st)) assert(st.enz is not None) assert(st.sub is not None) assert(st.enz.name == 'BRAF') assert(has_hgnc_ref(st.enz)) assert(st.sub.name == 'MAP2K1') assert(has_hgnc_ref(st.sub)) assert(len(st.enz.bound_conditions) == 1) assert(st.enz.bound_conditions[0].agent.name.lower() == 'vemurafenib') assert(st.enz.bound_conditions[0].is_bound == False) os.remove(fname) def test_not_bound_to3(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'SOS1 bound to GRB2 binds NRAS that is not bound to BRAF and GTP.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_complex(st)) assert(st.members[0].name == 'SOS1') assert(st.members[1].name == 'NRAS') assert(len(st.members[0].bound_conditions) == 1) assert(len(st.members[1].bound_conditions) == 2) os.remove(fname) def test_not_bound_to4(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'BRAF that is not bound to NRAS and Vemurafenib binds BRAF ' +\ 'that is not bound to Vemurafenib.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_complex(st)) assert(st.members[0].name == 'BRAF') assert(st.members[1].name == 'BRAF') assert(len(st.members[0].bound_conditions) == 2) assert(len(st.members[1].bound_conditions) == 1) os.remove(fname) def test_bound_to(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'NRAS, bound to GTP, binds BRAF.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_complex(st)) assert(len(st.members) == 2) assert(st.members[0].name == 'NRAS') assert(has_hgnc_ref(st.members[0])) assert(st.members[1].name == 'BRAF') assert(has_hgnc_ref(st.members[1])) assert(len(st.members[0].bound_conditions) == 1) assert(st.members[0].bound_conditions[0].agent.name == 'GTP') os.remove(fname) def test_bound_to2(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'EGFR-bound GRB2 binds SOS1.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_complex(st)) assert(len(st.members) == 2) assert(st.members[0].name == 'GRB2') assert(has_hgnc_ref(st.members[0])) assert(st.members[1].name == 'SOS1') assert(has_hgnc_ref(st.members[1])) assert(len(st.members[0].bound_conditions) == 1) assert(st.members[0].bound_conditions[0].agent.name == 'EGFR') os.remove(fname) def test_bound_to3(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'SOS1, bound to GRB2 binds RAS.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_complex(st)) assert(len(st.members) == 2) assert(st.members[0].name == 'SOS1') assert(has_hgnc_ref(st.members[0])) assert(st.members[1].name == 'RAS') assert(len(st.members[0].bound_conditions) == 1) assert(st.members[0].bound_conditions[0].agent.name == 'GRB2') os.remove(fname) def test_bound_to4(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'RAS, bound to SOS1, binds GTP.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_complex(st)) assert(len(st.members) == 2) assert(st.members[0].name == 'RAS') assert(st.members[1].name == 'GTP') assert(len(st.members[0].bound_conditions) == 1) assert(st.members[0].bound_conditions[0].agent.name == 'SOS1') os.remove(fname) def test_bound_to5(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'BRAF that is bound to NRAS and Vemurafenib binds ' +\ 'BRAF that is bound to NRAS and Vemurafenib.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_complex(st)) assert(len(st.members) == 2) assert(st.members[0].name == 'BRAF') assert(st.members[1].name == 'BRAF') assert(len(st.members[0].bound_conditions) == 2) assert(len(st.members[1].bound_conditions) == 2) os.remove(fname) def test_transphosphorylate(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'EGFR, bound to EGFR, transphosphorylates itself.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_transphosphorylation(st)) assert(st.enz is not None) assert(st.enz.name == 'EGFR') assert(has_hgnc_ref(st.enz)) assert(st.residue == None) assert(len(st.enz.bound_conditions) == 1) assert(st.enz.bound_conditions[0].agent.name == 'EGFR') os.remove(fname) def test_transphosphorylate2(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'EGFR, bound to EGFR, transphosphorylates itself on a tyrosine residue.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_transphosphorylation(st)) assert(st.enz is not None) assert(st.enz.name == 'EGFR') assert(has_hgnc_ref(st.enz)) assert(st.residue == 'Y') assert(len(st.enz.bound_conditions) == 1) assert(st.enz.bound_conditions[0].agent.name == 'EGFR') os.remove(fname) def test_act_mod(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'MEK1, phosphorylated at Ser218 and Ser222, is activated.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_actmod(st)) assert(st.agent is not None) assert(st.agent.name == 'MAP2K1') residues = [m.residue for m in st.agent.mods] positions = [m.position for m in st.agent.mods] assert(residues == ['S', 'S']) assert(positions == ['218', '222']) assert(st.is_active) os.remove(fname) def test_bound_phosphorylate(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'RAF, bound to RAF, phosphorylates MEK1.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_phosphorylation(st)) assert(st.enz is not None) assert(st.enz.name == 'RAF') assert(st.sub is not None) assert(st.sub.name == 'MAP2K1') assert(st.residue == None) os.remove(fname) ''' def test_bound_not_bound_phosphorylate(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'BRAF-bound BRAF that is not bound to Vemurafenib phosphorylates MEK1.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_phosphorylation(st)) assert(st.enz is not None) assert(st.enz.name == 'MAP2K1') assert(st.monomer.mod == ['PhosphorylationSerine', 'PhosphorylationSerine']) assert(st.monomer.mod_pos == ['218', '222']) assert(st.relationship == 'increases') os.remove(fname) ''' def test_act_phosphorylate(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'Active MEK1 phosphorylates ERK2 at Tyr187.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_phosphorylation(st)) assert(st.enz is not None) assert(st.enz.name == 'MAP2K1') assert(st.sub is not None) assert(st.sub.name == 'MAPK1') assert(st.residue == 'Y') assert(st.position == '187') os.remove(fname) def test_dephosphorylate(): fname = sys._getframe().f_code.co_name + '.xml' txt = 'DUSP6 dephosphorylates ERK2 at Tyr187.' tp = trips.process_text(txt, fname, False) assert(len(tp.statements) == 1) st = tp.statements[0] assert(is_dephosphorylation(st)) assert(st.enz is not None) assert(st.enz.name == 'DUSP6') assert(st.sub is not None) assert(st.sub.name == 'MAPK1') assert(st.residue == 'Y') assert(st.position == '187') os.remove(fname) def is_complex(statement): return isinstance(statement, indra.statements.Complex) def is_phosphorylation(statement): return isinstance(statement, indra.statements.Phosphorylation) def is_transphosphorylation(statement): return isinstance(statement, indra.statements.Transphosphorylation) def is_actmod(statement): return isinstance(statement, indra.statements.ActiveForm) def is_dephosphorylation(statement): return isinstance(statement, indra.statements.Dephosphorylation) def has_hgnc_ref(agent): return ('HGNC' in agent.db_refs.keys())

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12,953

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920023228479fadf27f6554ddcd995db73f092c9

34,946

py

Python

footkit/Preprocess.py

KhaitovR/footkit

a989e30bbfa14d4e5a3c1e0a3f9c57a1d02cb521

[ "Apache-2.0" ]

1

2020-11-03T18:42:43.000Z

footkit/Preprocess.py

KhaitovR/footkit

a989e30bbfa14d4e5a3c1e0a3f9c57a1d02cb521

[ "Apache-2.0" ]

null

footkit/Preprocess.py

KhaitovR/footkit

a989e30bbfa14d4e5a3c1e0a3f9c57a1d02cb521

[ "Apache-2.0" ]

null

from config import Config import pandas as pd import numpy as np from footkit.utils import set_to_list class Preprocess(Config): def __init__(self, Config, df, teams_df): # наследование параметров super().__init__() self.df=df self.teams_df=teams_df def get_teams_df(self): ''' переводим разрез команда1-команда2, в: команда1-матч команда2-матч ''' df=self.df.copy() self.teams_df.sort_values('DateTime',inplace=True) self.teams_df.reset_index(drop = True, inplace = True) print('до обработки Shape==1: ',self.teams_df[(self.teams_df['TeamId'] == 113) & (self.teams_df['DateTime'] == '2019-09-16 18:45:00')].shape[0]==1) # справочник команды (команда-матч) trans = { 'HomeTeamId' : 'TeamId', 'HomeTeam' : 'TeamName', 'HomeTeam_xG' : 'xG', 'AwayTeamId' : 'TeamId', 'AwayTeam' : 'TeamName', 'AwayTeam_xG' : 'xG', } home_df = pd.merge( df[['HomeTeamId', 'HomeTeam', 'LeagueName', 'Season', 'DateTime', 'WinProba', 'DrawProba', 'LoseProba']].rename(columns=trans) , self.teams_df , on = ['TeamId', 'TeamName', 'LeagueName', 'Season', 'DateTime'] , how = 'left' ) home_df['h_a'] = 'h' away_df = pd.merge( df[['AwayTeamId', 'AwayTeam', 'LeagueName', 'Season', 'DateTime', 'WinProba', 'DrawProba', 'LoseProba']].rename(columns=trans) , self.teams_df , on = ['TeamId', 'TeamName', 'LeagueName', 'Season', 'DateTime'] , how = 'left' ) away_df['h_a'] = 'a' self.teams_df = pd.concat([home_df, away_df], sort=False, axis = 0).copy() print('после обработки Shape==1: ',self.teams_df[(self.teams_df['TeamId'] == 113) & (self.teams_df['DateTime'] == '2019-09-16 18:45:00')].shape[0]==1) return self.teams_df def fillnull_on_test(self,data, targets): data=data.copy() for i in targets: data[i] = np.where( data.IsResult == False , np.nan , data[i] ) return data def get_target_on_df( self, data, HomeTeamGoal, AwayTeamGoal ): ''' example: get_target_on_df( df, HomeTeamGoal = 'FTHG', AwayTeamGoal = 'FTAG', ) ''' data = data.copy() data_columns = list(data.columns) # Виды ставок data['П1'] = np.where(data[HomeTeamGoal] > data[AwayTeamGoal],1,0) data['Х'] = np.where(data[HomeTeamGoal] == data[AwayTeamGoal],1,0) data['П2'] = np.where(data[HomeTeamGoal] < data[AwayTeamGoal],1,0) data['Победитель'] = np.where(data[HomeTeamGoal] > data[AwayTeamGoal],1, np.where(data[HomeTeamGoal] == data[AwayTeamGoal],0,2)) data['1Х'] = np.where(data[HomeTeamGoal] >= data[AwayTeamGoal],1,0) data['12'] = np.where(data[HomeTeamGoal] != data[AwayTeamGoal],1,0) data['2Х'] = np.where(data[HomeTeamGoal] <= data[AwayTeamGoal],1,0) data['ТМ1'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] <= 1 , 1 , 0) data['ТБ1'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] >= 1 , 1 , 0) data['ТМ1.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] < 1.5 , 1 , 0) data['ТБ1.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] > 1.5 , 1 , 0) data['ТМ2'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] <= 2 , 1 , 0) data['ТБ2'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] >= 2 , 1 , 0) data['ТМ2.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] < 2.5 , 1 , 0) data['ТБ2.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] > 2.5 , 1 , 0) data['ТМ3'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] <= 3 , 1 , 0) data['ТБ3'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] >= 3 , 1 , 0) data['ТМ3.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] < 3.5 , 1 , 0) data['ТБ3.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] > 3.5 , 1 , 0) data['ТМ4'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] <= 4 , 1 , 0) data['ТБ4'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] >= 4 , 1 , 0) data['ТМ4.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] < 4.5 , 1 , 0) data['ТБ4.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] > 4.5 , 1 , 0) data['ТМ5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] <= 5 , 1 , 0) data['ТБ5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] >= 5 , 1 , 0) data['ТМ5.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] < 5.5 , 1 , 0) data['ТБ5.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] > 5.5 , 1 , 0) data['Голов 0-1'] = np.where((data[HomeTeamGoal] + data[AwayTeamGoal] >=0) & (data[HomeTeamGoal] + data[AwayTeamGoal] <=1) ,1,0) data['Голов 2-3'] = np.where((data[HomeTeamGoal] + data[AwayTeamGoal] >=2) & (data[HomeTeamGoal] + data[AwayTeamGoal] <=3) ,1,0) data['Голов 4-5'] = np.where((data[HomeTeamGoal] + data[AwayTeamGoal] >=4) & (data[HomeTeamGoal] + data[AwayTeamGoal] <=5) ,1,0) data['Голов 6>' ] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] >= 6,1,0) data['Ком1 забьет'] = np.where(data[HomeTeamGoal] > 0,1,0) data['Ком2 забьет'] = np.where(data[AwayTeamGoal] > 0,1,0) data['Обе забьют'] = np.where((data[HomeTeamGoal] > 0) & (data[AwayTeamGoal] > 0),1,0) data['Колво голов КОМ1(0)'] = np.where( data[HomeTeamGoal] == 0 , 1 , 0) data['Колво голов КОМ1(1)'] = np.where( data[HomeTeamGoal] == 1 , 1 , 0) data['Колво голов КОМ1(2)'] = np.where( data[HomeTeamGoal] == 2 , 1 , 0) data['Колво голов КОМ1(3>)'] = np.where( data[HomeTeamGoal] >= 3 , 1 , 0) data['Колво голов КОМ2(0)'] = np.where( data[AwayTeamGoal] == 0 , 1 , 0) data['Колво голов КОМ2(1)'] = np.where( data[AwayTeamGoal] == 1 , 1 , 0) data['Колво голов КОМ2(2)'] = np.where( data[AwayTeamGoal] == 2 , 1 , 0) data['Колво голов КОМ2(3>)'] = np.where( data[AwayTeamGoal] == 3 , 1 , 0) data['Инд.Тотал К1 ТМ0.5'] = np.where( data[HomeTeamGoal] < 0.5 , 1 , 0) data['Инд.Тотал К1 ТБ0.5'] = np.where( data[HomeTeamGoal] > 0.5 , 1 , 0) data['Инд.Тотал К2 ТМ0.5'] = np.where( data[AwayTeamGoal] < 0.5 , 1 , 0) data['Инд.Тотал К2 ТБ0.5'] = np.where( data[AwayTeamGoal] > 0.5 , 1 , 0) data['Инд.Тотал К1 ТМ1'] = np.where( data[HomeTeamGoal] <= 1 , 1 , 0) data['Инд.Тотал К1 ТБ1'] = np.where( data[HomeTeamGoal] >= 1 , 1 , 0) data['Инд.Тотал К2 ТМ1'] = np.where( data[AwayTeamGoal] <= 1 , 1 , 0) data['Инд.Тотал К2 ТБ1'] = np.where( data[AwayTeamGoal] >= 1 , 1 , 0) data['Инд.Тотал К1 ТМ1.5'] = np.where( data[HomeTeamGoal] < 1.5 , 1 , 0) data['Инд.Тотал К1 ТБ1.5'] = np.where( data[HomeTeamGoal] > 1.5 , 1 , 0) data['Инд.Тотал К2 ТМ1.5'] = np.where( data[AwayTeamGoal] < 1.5 , 1 , 0) data['Инд.Тотал К2 ТБ1.5'] = np.where( data[AwayTeamGoal] > 1.5 , 1 , 0) data['Инд.Тотал К1 ТМ2'] = np.where( data[HomeTeamGoal] <= 2 , 1 , 0) data['Инд.Тотал К1 ТБ2'] = np.where( data[HomeTeamGoal] >= 2 , 1 , 0) data['Инд.Тотал К2 ТМ2'] = np.where( data[AwayTeamGoal] <= 2 , 1 , 0) data['Инд.Тотал К2 ТБ2'] = np.where( data[AwayTeamGoal] >= 2 , 1 , 0) data['Инд.Тотал К1 ТМ2.5'] = np.where( data[HomeTeamGoal] < 2.5 , 1 , 0) data['Инд.Тотал К1 ТБ2.5'] = np.where( data[HomeTeamGoal] > 2.5 , 1 , 0) data['Инд.Тотал К2 ТМ2.5'] = np.where( data[AwayTeamGoal] < 2.5 , 1 , 0) data['Инд.Тотал К2 ТБ2.5'] = np.where( data[AwayTeamGoal] > 2.5 , 1 , 0) data['Инд.Тотал К1 ТМ3.5'] = np.where( data[HomeTeamGoal] < 3.5 , 1 , 0) data['Инд.Тотал К1 ТБ3.5'] = np.where( data[HomeTeamGoal] > 3.5 , 1 , 0) data['Инд.Тотал К2 ТМ3.5'] = np.where( data[AwayTeamGoal] < 3.5 , 1 , 0) data['Инд.Тотал К2 ТБ3.5'] = np.where( data[AwayTeamGoal] > 3.5 , 1 , 0) data['Точный счет 0:1'] = np.where( (data[HomeTeamGoal] == 0) & (data[AwayTeamGoal] == 1) , 1, 0) data['Точный счет 0:2'] = np.where( (data[HomeTeamGoal] == 0) & (data[AwayTeamGoal] == 2) , 1, 0) data['Точный счет 0:3'] = np.where( (data[HomeTeamGoal] == 0) & (data[AwayTeamGoal] == 3) , 1, 0) data['Точный счет 1:0'] = np.where( (data[HomeTeamGoal] == 1) & (data[AwayTeamGoal] == 0) , 1, 0) data['Точный счет 2:0'] = np.where( (data[HomeTeamGoal] == 2) & (data[AwayTeamGoal] == 0) , 1, 0) data['Точный счет 3:0'] = np.where( (data[HomeTeamGoal] == 3) & (data[AwayTeamGoal] == 0) , 1, 0) data['Точный счет 1:1'] = np.where( (data[HomeTeamGoal] == 1) & (data[AwayTeamGoal] == 1) , 1, 0) data['Точный счет 1:2'] = np.where( (data[HomeTeamGoal] == 1) & (data[AwayTeamGoal] == 2) , 1, 0) data['Точный счет 1:3'] = np.where( (data[HomeTeamGoal] == 1) & (data[AwayTeamGoal] == 3) , 1, 0) data['Точный счет 2:1'] = np.where( (data[HomeTeamGoal] == 2) & (data[AwayTeamGoal] == 1) , 1, 0) data['Точный счет 2:2'] = np.where( (data[HomeTeamGoal] == 2) & (data[AwayTeamGoal] == 2) , 1, 0) data['Точный счет 2:3'] = np.where( (data[HomeTeamGoal] == 2) & (data[AwayTeamGoal] == 3) , 1, 0) data['Точный счет 3:1'] = np.where( (data[HomeTeamGoal] == 3) & (data[AwayTeamGoal] == 1) , 1, 0) data['Точный счет 3:2'] = np.where( (data[HomeTeamGoal] == 3) & (data[AwayTeamGoal] == 2) , 1, 0) data['Точный счет 3:3'] = np.where( (data[HomeTeamGoal] == 3) & (data[AwayTeamGoal] == 3) , 1, 0) data["Победитель + обе забьют 1/да" ] = np.where( (data['П1'] == 1) & (data['Обе забьют'] == 1), 1,0 ) data["Победитель + обе забьют 1/нет"] = np.where( (data['П1'] == 1) & (data['Обе забьют'] == 0), 1,0 ) data["Победитель + обе забьют Х/да" ] = np.where( (data['Х'] == 1) & (data['Обе забьют'] == 1), 1,0 ) data["Победитель + обе забьют Х/нет"] = np.where( (data['Х'] == 1) & (data['Обе забьют'] == 0), 1,0 ) data["Победитель + обе забьют 2/да" ] = np.where( (data['П2'] == 1) & (data['Обе забьют'] == 1), 1,0 ) data["Победитель + обе забьют 2/нет"] = np.where( (data['П2'] == 1) & (data['Обе забьют'] == 0), 1,0 ) data['Сухая победа К1'] = np.where( (data[HomeTeamGoal]>data[AwayTeamGoal]) & (data[AwayTeamGoal] == 0), 1,0 ) data['Сухая победа К2'] = np.where( (data[AwayTeamGoal]>data[HomeTeamGoal]) & (data[HomeTeamGoal] == 0), 1,0 ) data['Обе забьют + ТБ2.5 Да/Бол'] = np.where( (data['Обе забьют'] ==1) & (data['ТБ2.5'] == 1) , 1 , 0 ) data['Обе забьют + ТБ2.5 Да/Мен'] = np.where( (data['Обе забьют'] ==1) & (data['ТБ2.5'] == 0) , 1 , 0 ) data['Обе забьют + ТБ2.5 Нет/Бол'] = np.where( (data['Обе забьют'] ==0) & (data['ТБ2.5'] == 1) , 1 , 0 ) data['Обе забьют + ТБ2.5 Нет/Мен'] = np.where( (data['Обе забьют'] ==0) & (data['ТБ2.5'] == 0) , 1 , 0 ) data['Ф1'] = np.where( data[HomeTeamGoal] - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Ф1 0.5'] = np.where( ( data[HomeTeamGoal] + 0.5 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Ф1 -0.5'] = np.where( ( data[HomeTeamGoal] - 0.5 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Ф1 1'] = np.where( ( data[HomeTeamGoal] + 1 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Ф1 -1'] = np.where( ( data[HomeTeamGoal] - 1 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Ф1 1.5'] = np.where( ( data[HomeTeamGoal] + 1.5 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Ф1 -1.5'] = np.where( ( data[HomeTeamGoal] - 1.5 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Ф1 2'] = np.where( ( data[HomeTeamGoal] + 2 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Ф1 -2'] = np.where( ( data[HomeTeamGoal] - 2 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Ф1 2.5'] = np.where( ( data[HomeTeamGoal] + 2.5 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Ф1 -2.5'] = np.where( ( data[HomeTeamGoal] - 2.5 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Ф1 -3'] = np.where( ( data[HomeTeamGoal] - 3 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Ф1 -3.5'] = np.where( ( data[HomeTeamGoal] - 3.5 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Ф2'] = np.where( data[AwayTeamGoal] - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Ф2 0.5'] = np.where( ( data[AwayTeamGoal] + 0.5 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Ф2 -0.5'] = np.where( ( data[AwayTeamGoal] - 0.5 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Ф2 1'] = np.where( ( data[AwayTeamGoal] + 1 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Ф2 -1'] = np.where( ( data[AwayTeamGoal] - 1 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Ф2 1.5'] = np.where( ( data[AwayTeamGoal] + 1.5 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Ф2 -1.5'] = np.where( ( data[AwayTeamGoal] - 1.5 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Ф2 2'] = np.where( ( data[AwayTeamGoal] + 2 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Ф2 -2'] = np.where( ( data[AwayTeamGoal] - 2 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Ф2 2.5'] = np.where( ( data[AwayTeamGoal] + 2.5 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Ф2 -2.5'] = np.where( ( data[AwayTeamGoal] - 2.5 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Ф2 3'] = np.where( ( data[AwayTeamGoal] + 3 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Ф2 3.5'] = np.where( ( data[AwayTeamGoal] + 3.5 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) targets = list( set(data.columns) - set(data_columns) ) data = self.fillnull_on_test(data, targets) self.df_targets=data[targets].copy() self.targets=targets.copy() return data[targets], targets def get_target_on_df_eng( self, HomeTeamGoal, AwayTeamGoal ): ''' example: get_target_on_df( df, HomeTeamGoal = 'FTHG', AwayTeamGoal = 'FTAG', ) ''' data = self.df.copy() data_columns = list(data.columns) # Виды ставок data['W'] = np.where(data[HomeTeamGoal] > data[AwayTeamGoal],1,0) data['D'] = np.where(data[HomeTeamGoal] == data[AwayTeamGoal],1,0) data['L'] = np.where(data[HomeTeamGoal] < data[AwayTeamGoal],1,0) data['Winner'] = np.where(data[HomeTeamGoal] > data[AwayTeamGoal],1, np.where(data[HomeTeamGoal] == data[AwayTeamGoal],0,2)) data['1X'] = np.where(data[HomeTeamGoal] >= data[AwayTeamGoal],1,0) data['12'] = np.where(data[HomeTeamGoal] != data[AwayTeamGoal],1,0) data['2X'] = np.where(data[HomeTeamGoal] <= data[AwayTeamGoal],1,0) data['Total Less 1'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] <= 1 , 1 , 0) data['Total More 1'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] >= 1 , 1 , 0) data['Total Less 1.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] < 1.5 , 1 , 0) data['Total More 1.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] > 1.5 , 1 , 0) data['Total Less 2'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] <= 2 , 1 , 0) data['Total More 2'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] >= 2 , 1 , 0) data['Total Less 2.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] < 2.5 , 1 , 0) data['Total More 2.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] > 2.5 , 1 , 0) data['Total Less 3'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] <= 3 , 1 , 0) data['Total More 3'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] >= 3 , 1 , 0) data['Total Less 3.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] < 3.5 , 1 , 0) data['Total More 3.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] > 3.5 , 1 , 0) data['Total Less 4'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] <= 4 , 1 , 0) data['Total More 4'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] >= 4 , 1 , 0) data['Total Less 4.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] < 4.5 , 1 , 0) data['Total More 4.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] > 4.5 , 1 , 0) data['Total Less 5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] <= 5 , 1 , 0) data['Total More 5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] >= 5 , 1 , 0) data['Total Less 5.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] < 5.5 , 1 , 0) data['Total More 5.5'] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] > 5.5 , 1 , 0) data['Goals 0-1'] = np.where((data[HomeTeamGoal] + data[AwayTeamGoal] >=0) & (data[HomeTeamGoal] + data[AwayTeamGoal] <=1) ,1,0) data['Goals 2-3'] = np.where((data[HomeTeamGoal] + data[AwayTeamGoal] >=2) & (data[HomeTeamGoal] + data[AwayTeamGoal] <=3) ,1,0) data['Goals 4-5'] = np.where((data[HomeTeamGoal] + data[AwayTeamGoal] >=4) & (data[HomeTeamGoal] + data[AwayTeamGoal] <=5) ,1,0) data['Goals 6>' ] = np.where(data[HomeTeamGoal] + data[AwayTeamGoal] >= 6,1,0) data['HT Score'] = np.where(data[HomeTeamGoal] > 0,1,0) data['AT Score'] = np.where(data[AwayTeamGoal] > 0,1,0) data['Both teams to score'] = np.where((data[HomeTeamGoal] > 0) & (data[AwayTeamGoal] > 0),1,0) data['Ind. Total HT Total Less 0.5'] = np.where( data[HomeTeamGoal] < 0.5 , 1 , 0) data['Ind. Total HT Total More 0.5'] = np.where( data[HomeTeamGoal] > 0.5 , 1 , 0) data['Ind. Total AT Total Less 0.5'] = np.where( data[AwayTeamGoal] < 0.5 , 1 , 0) data['Ind. Total AT Total More 0.5'] = np.where( data[AwayTeamGoal] > 0.5 , 1 , 0) data['Ind. Total HT Total Less 1'] = np.where( data[HomeTeamGoal] <= 1 , 1 , 0) data['Ind. Total HT Total More 1'] = np.where( data[HomeTeamGoal] >= 1 , 1 , 0) data['Ind. Total AT Total Less 1'] = np.where( data[AwayTeamGoal] <= 1 , 1 , 0) data['Ind. Total AT Total More 1'] = np.where( data[AwayTeamGoal] >= 1 , 1 , 0) data['Ind. Total HT Total Less 1.5'] = np.where( data[HomeTeamGoal] < 1.5 , 1 , 0) data['Ind. Total HT Total More 1.5'] = np.where( data[HomeTeamGoal] > 1.5 , 1 , 0) data['Ind. Total AT Total Less 1.5'] = np.where( data[AwayTeamGoal] < 1.5 , 1 , 0) data['Ind. Total AT Total More 1.5'] = np.where( data[AwayTeamGoal] > 1.5 , 1 , 0) data['Ind. Total HT Total Less 2'] = np.where( data[HomeTeamGoal] <= 2 , 1 , 0) data['Ind. Total HT Total More 2'] = np.where( data[HomeTeamGoal] >= 2 , 1 , 0) data['Ind. Total AT Total Less 2'] = np.where( data[AwayTeamGoal] <= 2 , 1 , 0) data['Ind. Total AT Total More 2'] = np.where( data[AwayTeamGoal] >= 2 , 1 , 0) data['Ind. Total HT Total Less 2.5'] = np.where( data[HomeTeamGoal] < 2.5 , 1 , 0) data['Ind. Total HT Total More 2.5'] = np.where( data[HomeTeamGoal] > 2.5 , 1 , 0) data['Ind. Total AT Total Less 2.5'] = np.where( data[AwayTeamGoal] < 2.5 , 1 , 0) data['Ind. Total AT Total More 2.5'] = np.where( data[AwayTeamGoal] > 2.5 , 1 , 0) data['Ind. Total HT Total Less 3.5'] = np.where( data[HomeTeamGoal] < 3.5 , 1 , 0) data['Ind. Total HT Total More 3.5'] = np.where( data[HomeTeamGoal] > 3.5 , 1 , 0) data['Ind. Total AT Total Less 3.5'] = np.where( data[AwayTeamGoal] < 3.5 , 1 , 0) data['Ind. Total AT Total More 3.5'] = np.where( data[AwayTeamGoal] > 3.5 , 1 , 0) data['Score 0:1'] = np.where( (data[HomeTeamGoal] == 0) & (data[AwayTeamGoal] == 1) , 1, 0) data['Score 0:2'] = np.where( (data[HomeTeamGoal] == 0) & (data[AwayTeamGoal] == 2) , 1, 0) data['Score 0:3'] = np.where( (data[HomeTeamGoal] == 0) & (data[AwayTeamGoal] == 3) , 1, 0) data['Score 1:0'] = np.where( (data[HomeTeamGoal] == 1) & (data[AwayTeamGoal] == 0) , 1, 0) data['Score 2:0'] = np.where( (data[HomeTeamGoal] == 2) & (data[AwayTeamGoal] == 0) , 1, 0) data['Score 3:0'] = np.where( (data[HomeTeamGoal] == 3) & (data[AwayTeamGoal] == 0) , 1, 0) data['Score 1:1'] = np.where( (data[HomeTeamGoal] == 1) & (data[AwayTeamGoal] == 1) , 1, 0) data['Score 1:2'] = np.where( (data[HomeTeamGoal] == 1) & (data[AwayTeamGoal] == 2) , 1, 0) data['Score 1:3'] = np.where( (data[HomeTeamGoal] == 1) & (data[AwayTeamGoal] == 3) , 1, 0) data['Score 2:1'] = np.where( (data[HomeTeamGoal] == 2) & (data[AwayTeamGoal] == 1) , 1, 0) data['Score 2:2'] = np.where( (data[HomeTeamGoal] == 2) & (data[AwayTeamGoal] == 2) , 1, 0) data['Score 2:3'] = np.where( (data[HomeTeamGoal] == 2) & (data[AwayTeamGoal] == 3) , 1, 0) data['Score 3:1'] = np.where( (data[HomeTeamGoal] == 3) & (data[AwayTeamGoal] == 1) , 1, 0) data['Score 3:2'] = np.where( (data[HomeTeamGoal] == 3) & (data[AwayTeamGoal] == 2) , 1, 0) data['Score 3:3'] = np.where( (data[HomeTeamGoal] == 3) & (data[AwayTeamGoal] == 3) , 1, 0) data['Handicap HT'] = np.where( data[HomeTeamGoal] - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Handicap HT 0.5'] = np.where( ( data[HomeTeamGoal] + 0.5 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Handicap HT -0.5'] = np.where( ( data[HomeTeamGoal] - 0.5 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Handicap HT 1'] = np.where( ( data[HomeTeamGoal] + 1 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Handicap HT -1'] = np.where( ( data[HomeTeamGoal] - 1 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Handicap HT 1.5'] = np.where( ( data[HomeTeamGoal] + 1.5 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Handicap HT -1.5'] = np.where( ( data[HomeTeamGoal] - 1.5 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Handicap HT 2'] = np.where( ( data[HomeTeamGoal] + 2 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Handicap HT -2'] = np.where( ( data[HomeTeamGoal] - 2 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Handicap HT 2.5'] = np.where( ( data[HomeTeamGoal] + 2.5 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Handicap HT -2.5'] = np.where( ( data[HomeTeamGoal] - 2.5 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Handicap HT -3'] = np.where( ( data[HomeTeamGoal] - 3 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Handicap HT -3.5'] = np.where( ( data[HomeTeamGoal] - 3.5 ) - data[AwayTeamGoal] > 0 , 1 , 0 ) data['Handicap AT'] = np.where( data[AwayTeamGoal] - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Handicap AT 0.5'] = np.where( ( data[AwayTeamGoal] + 0.5 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Handicap AT -0.5'] = np.where( ( data[AwayTeamGoal] - 0.5 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Handicap AT 1'] = np.where( ( data[AwayTeamGoal] + 1 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Handicap AT -1'] = np.where( ( data[AwayTeamGoal] - 1 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Handicap AT 1.5'] = np.where( ( data[AwayTeamGoal] + 1.5 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Handicap AT -1.5'] = np.where( ( data[AwayTeamGoal] - 1.5 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Handicap AT 2'] = np.where( ( data[AwayTeamGoal] + 2 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Handicap AT -2'] = np.where( ( data[AwayTeamGoal] - 2 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Handicap AT 2.5'] = np.where( ( data[AwayTeamGoal] + 2.5 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Handicap AT -2.5'] = np.where( ( data[AwayTeamGoal] - 2.5 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Handicap AT 3'] = np.where( ( data[AwayTeamGoal] + 3 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) data['Handicap AT 3.5'] = np.where( ( data[AwayTeamGoal] + 3.5 ) - data[HomeTeamGoal] > 0 , 1 , 0 ) targets = list( set(data.columns) - set(data_columns) ) data = self.fillnull_on_test(data, targets) self.df_targets=data[targets].copy() self.targets = targets return data[targets], targets def create_features( self ): df=self.df.copy() StatTeam_df = self.teams_df.copy() StatTeam_df.sort_values([self.SEASON,self.TEAMNAME,self.LEAGUENAME,self.DATETIME],inplace=True) features_base = list(StatTeam_df.columns) StatTeam_df[self.ROUNDEVENT] = StatTeam_df.groupby([self.SEASON,self.LEAGUENAME,self.TEAMNAME]).cumcount()+1 StatTeam_df['ChillDays'] = (StatTeam_df['DateTime'] - StatTeam_df.groupby(['Season','TeamName'])['DateTime'].shift(1)).dt.days # результаты предыдущего матча for target in self.FEATURES: for sh in [1, 2, 3]: StatTeam_df['Shift'+str(sh)+target] = StatTeam_df.groupby([self.SEASON,self.TEAMNAME,self.LEAGUENAME])[target].shift(sh).fillna(0) StatTeam_df['Cum'+str(sh)+target] = StatTeam_df.groupby([self.SEASON,self.TEAMNAME,self.LEAGUENAME])['Shift'+str(sh)+target].cumsum() StatTeam_df['DeltaShift'+target] = ((StatTeam_df['Shift'+str(1)+target] - StatTeam_df['Shift'+str(2)+target]) + (StatTeam_df['Shift'+str(2)+target]-StatTeam_df['Shift'+str(3)+target]))/2 StatTeam_df['DeltaCum'+target] = ((StatTeam_df['Cum'+str(1)+target] - StatTeam_df['Cum'+str(2)+target]) + (StatTeam_df['Cum'+str(2)+target]-StatTeam_df['Cum'+str(3)+target]))/2 # Накопительные результаты ( исключая текущий ) StatTeam_df['Cum'+target] = StatTeam_df.groupby([self.SEASON,self.TEAMNAME,self.LEAGUENAME])['Shift'+str(1)+target].cumsum() # место в турнирной таблице перед матчем StatTeam_df['Place'] = StatTeam_df.groupby([self.SEASON,self.LEAGUENAME,self.ROUNDEVENT])['Cum1'+self.POINTS].rank(ascending=False,method='average') # Накопительные результаты ( исключая текущий зависимо, от места игры ) # чтобы не создавать лишние поля, тут же шифтуем, чтобы забрать все до "сегодняшнего" матча, сразу же считаем нак. сумму for target in self.FEATURES: StatTeam_df['Cum'+target+'InPlace'] = StatTeam_df.groupby([self.SEASON,self.TEAMNAME,self.LEAGUENAME,self.PLACEMATCH])[target].shift(1).fillna(0) StatTeam_df['Cum'+target+'InPlace'] = StatTeam_df.groupby([self.SEASON,self.TEAMNAME,self.LEAGUENAME,self.PLACEMATCH])['Cum'+target+'InPlace'].cumsum() StatTeam_df['Perc'+target+'InPlace'] = StatTeam_df['Cum'+target+'InPlace'] / StatTeam_df['Cum'+target] StatTeam_df['Avg'+target+'Season'] = StatTeam_df['Cum'+target] / StatTeam_df[self.ROUNDEVENT] # шифт+дифф StatTeam_df['ShiftPlace'+self.GOALS+'Diff'] = StatTeam_df.groupby( [ self.SEASON,self.TEAMNAME,self.LEAGUENAME,self.PLACEMATCH ] )[self.GOALS].shift(1).fillna(0) - \ StatTeam_df.groupby( [ self.SEASON,self.TEAMNAME,self.LEAGUENAME,self.PLACEMATCH ] )[self.MISSED].shift(1).fillna(0) StatTeam_df['Cum'+self.GOALS+'DiffInPlace'] = StatTeam_df.groupby([self.SEASON,self.TEAMNAME,self.LEAGUENAME,self.PLACEMATCH])['ShiftPlace'+self.GOALS+'Diff'].shift(1).fillna(0) StatTeam_df['Cum'+self.GOALS+'DiffInPlace'] = StatTeam_df.groupby([self.SEASON,self.TEAMNAME,self.LEAGUENAME,self.PLACEMATCH])['Cum'+self.GOALS+'DiffInPlace'].cumsum() StatTeam_df.drop('ShiftPlace'+self.GOALS+'Diff',axis=1,inplace=True) # место в турнирной таблице перед матчем # StatTeam_df['PlaceInPlace'] = StatTeam_df.groupby([self.SEASON,self.LEAGUENAME,self.ROUNDEVENT,self.PLACEMATCH])['Cum'+self.POINTS+'InPlace'].rank(ascending=False,method='average') # 3 days for target in self.FEATURES: # Дивизион - команда agg_group = [self.LEAGUENAME,self.TEAMNAME] #,self.SEASON StatTeam_df['Avg'+target+'3'] = np.mean([StatTeam_df.groupby(agg_group)[target].shift(i) for i in [1,2,3]], axis=0) StatTeam_df['Avg'+target+'5'] = np.mean([StatTeam_df.groupby(agg_group)[target].shift(i) for i in [1,2,3,4,5]], axis=0) # Среднее колво забитых/пропущенных голов команды (за 5 и 3 матча) # Матчи учитываются дома и в гостях раздельно(на каждый по 5/3 матча) agg_group = [self.LEAGUENAME,self.TEAMNAME,self.PLACEMATCH] StatTeam_df['Avg'+target+'3_PLACE'] = np.mean([StatTeam_df.groupby(agg_group)[target].shift(i) for i in [1,2,3]], axis=0) StatTeam_df['Avg'+target+'5_PLACE'] = np.mean([StatTeam_df.groupby(agg_group)[target].shift(i) for i in [1,2,3,4,5]], axis=0) # {i : 'Home'+i for i in } rename_cols_home = {} rename_cols_away = {} key_cols = [self.DATETIME,self.LEAGUENAME,'Team',self.SEASON] rename_base_cols = list( set(StatTeam_df.columns) - set([self.SEASON, self.LEAGUENAME, self.DATETIME,self.ROUNDEVENT]) - set(self.FEATURES) - set(['h_a', 'result']) ) rename_targets = self.FEATURES for i in rename_targets: rename_cols_home[i] = 'Home'+i rename_cols_away[i] = 'Away'+i for i in rename_base_cols: rename_cols_home[i] = 'Home'+i rename_cols_away[i] = 'Away'+i df = pd.merge( pd.merge( df , StatTeam_df.rename(columns=rename_cols_home) , on=['DateTime','LeagueName','HomeTeamId','Season'] , suffixes = (False, False) ) , StatTeam_df.rename(columns=rename_cols_away).drop([self.ROUNDEVENT, 'h_a', 'result'], axis = 1) ,on = ['DateTime','LeagueName','AwayTeamId','Season'] ) df['Month'] = df['DateTime'].dt.month df['Year'] = df['DateTime'].dt.year df['Week'] = df['DateTime'].dt.week df['Day'] = df['DateTime'].dt.day df['Dayofweek'] = df['DateTime'].dt.dayofweek leaky_features = rename_targets leaky_features = ['Home'+i for i in leaky_features] + ['Away'+i for i in leaky_features] + set_to_list(leaky_features, ['ChillDays']) leaky_features = leaky_features+[ 'IdMatch', # 'DateTime', # 'LeagueName', # 'Season', 'HomeTeam', 'HomeShortTeam', # 'HomeTeamId', 'HomeTeam_xG', 'AwayTeam', 'AwayShortTeam', # 'AwayTeamId', 'AwayTeam_xG', 'FTHG', 'FTAG', 'IsResult', 'h_a', 'result', 'HomeTeamName', 'AwayTeamName', 'HomePlace', 'AwayPlace', 'HomeWinProba', 'HomeDrawProba', 'HomeLoseProba', 'AwayWinProba', 'AwayDrawProba', 'AwayLoseProba', ] self.engineering_features = list( set(df.columns) - set(features_base) - set(leaky_features) ) df[self.engineering_features][:1].to_pickle('./data/example_features.pkl') for i in ['Awayscored', 'Awaymissed', 'Awaydraws', 'Homescored', 'Homemissed', 'Awayloses', 'Homeloses', 'Awaywins', 'AwayxGA', 'Homedraws', 'AwayxG', 'HomenpxG']: if i in self.engineering_features: print('loh, drop this feature', i) df.set_index(['IdMatch'], inplace=True) self.df=df.copy() return self.df, self.engineering_features

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198

0.515538

4,306

34,946

4.142127

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0.136297

0.197298

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null

0

1

0

null

0

7

a604e659e68efec99d5411a959eab14f7e0acd07

10,802

py

Python

parser/team28/models/instructions/Expression/string_funcs.py

itsmjoe/tytus

3b0341cc854d67979b766c5c8b06ed172ce0c913

[ "MIT" ]

null

parser/team28/models/instructions/Expression/string_funcs.py

itsmjoe/tytus

3b0341cc854d67979b766c5c8b06ed172ce0c913

[ "MIT" ]

null

parser/team28/models/instructions/Expression/string_funcs.py

itsmjoe/tytus

3b0341cc854d67979b766c5c8b06ed172ce0c913

[ "MIT" ]

null

import hashlib from models.instructions.Expression.expression import Expression, PrimitiveData, DATA_TYPE from controllers.error_controller import ErrorController #TODO: REVISAR QUE NO MUERA CON DECODE, UNCODE, GETBYTE, SETBYTE, CONVERT class Length(Expression): ''' La función se usa para devolver el valor después de redondear un número hasta un decimal específico, proporcionado en el argumento. ''' def __init__(self, value, line, column) : self.value = value self.alias = f'LENGTH({self.value.alias})' self.line = line self.column = column def __repr__(self): return str(vars(self)) def process(self, environment): try: val = self.value.process(environment).value l = len(val) return PrimitiveData(DATA_TYPE.NUMBER, l, self.line, self.column) except TypeError: desc = "Tipo de dato invalido para Length" ErrorController().add(37, 'Execution', desc, self.line, self.column) return except: desc = "FATAL ERROR --- StringFuncs" ErrorController().add(34, 'Execution', desc, self.line, self.column) class Substring(Expression): ''' La función se usa para devolver el valor después de redondear un número hasta un decimal específico, proporcionado en el argumento. ''' def __init__(self, value, down, up, line, column) : self.value = value self.alias = f'SUBSTRING({self.value.alias})' self.up = up self.down = down self.line = line self.column = column def __repr__(self): return str(vars(self)) def process(self, environment): try: i = self.down.process(environment).value j = self.up.process(environment).value cadena = self.value.process(environment).value substr = cadena[i:j] return PrimitiveData(DATA_TYPE.STRING, substr, self.line, self.column) except TypeError: desc = "Tipo de dato invalido para Substring" ErrorController().add(37, 'Execution', desc, self.line, self.column) return except: desc = "FATAL ERROR --- StringFuncs" ErrorController().add(34, 'Execution', desc, self.line, self.column) class Substr(Expression): ''' La función se usa para devolver el valor después de redondear un número hasta un decimal específico, proporcionado en el argumento. ''' def __init__(self, value, down, up, line, column) : self.value = value self.alias = f'SUBSTR({self.value.alias})' self.up = up self.down = down self.line = line self.column = column def __repr__(self): return str(vars(self)) def process(self, environment): try: i = self.down.process(environment).value j = self.up.process(environment).value cadena = self.value.process(environment).value substr = cadena[i:j] return PrimitiveData(DATA_TYPE.STRING, substr, self.line, self.column) except TypeError: desc = "Tipo de dato invalido para Substr" ErrorController().add(37, 'Execution', desc, self.line, self.column) return except: desc = "FATAL ERROR --- StringFuncs" ErrorController().add(34, 'Execution', desc, self.line, self.column) class Trim(Expression): ''' La función se usa para devolver el valor después de redondear un número hasta un decimal específico, proporcionado en el argumento. ''' def __init__(self, value, line, column) : self.value = value self.alias = f'TRIM({self.value.alias})' self.line = line self.column = column def __repr__(self): return str(vars(self)) def process(self, environment): try: cadena = self.value.process(environment).value trim_str = cadena.strip() return PrimitiveData(DATA_TYPE.STRING, trim_str, self.line, self.column) except TypeError: desc = "Tipo de dato invalido para Trim" ErrorController().add(37, 'Execution', desc, self.line, self.column) return except: desc = "FATAL ERROR --- StringFuncs" ErrorController().add(34, 'Execution', desc, self.line, self.column) class MD5(Expression): ''' La función se usa para devolver el valor después de redondear un número hasta un decimal específico, proporcionado en el argumento. ''' def __init__(self, value, line, column) : self.value = value self.alias = f'MD5({self.value.alias})' self.line = line self.column = column def __repr__(self): return str(vars(self)) def process(self, environment): try: cadena = self.value.process(environment).value result = hashlib.md5(cadena.encode()) return PrimitiveData(DATA_TYPE.STRING, result.hexdigest(), self.line, self.column) except TypeError: desc = "Tipo de dato invalido para md5" ErrorController().add(37, 'Execution', desc, self.line, self.column) return except: desc = "FATAL ERROR --- StringFuncs" ErrorController().add(34, 'Execution', desc, self.line, self.column) class SHA256(Expression): ''' La función se usa para devolver el valor después de redondear un número hasta un decimal específico, proporcionado en el argumento. ''' def __init__(self, value, line, column) : self.value = value self.alias = f'SHA256({self.value.alias})' self.line = line self.column = column def __repr__(self): return str(vars(self)) def process(self, environment): try: cadena = self.value.process(environment).value result = hashlib.sha256(cadena.encode()) return PrimitiveData(DATA_TYPE.STRING, result.hexdigest(), self.line, self.column) except TypeError: desc = "Tipo de dato invalido para sha256" ErrorController().add(37, 'Execution', desc, self.line, self.column) return except: desc = "FATAL ERROR --- StringFuncs" ErrorController().add(34, 'Execution', desc, self.line, self.column) class GetByte(Expression): ''' La función se usa para devolver el valor después de redondear un número hasta un decimal específico, proporcionado en el argumento. ''' def __init__(self, value, line, column) : self.value = value self.alias = f'GETBYTE({self.value.alias})' self.line = line self.column = column def __repr__(self): return str(vars(self)) def process(self, environment): try: pass except TypeError: desc = "Tipo de dato invalido para GetByte" ErrorController().add(37, 'Execution', desc, self.line, self.column) return except: desc = "FATAL ERROR --- StringFuncs" ErrorController().add(34, 'Execution', desc, self.line, self.column) class SetByte(Expression): ''' La función se usa para devolver el valor después de redondear un número hasta un decimal específico, proporcionado en el argumento. ''' def __init__(self, value, line, column) : self.value = value self.alias = f'SETBYTE({self.value.alias})' self.line = line self.column = column def __repr__(self): return str(vars(self)) def process(self, environment): try: pass except TypeError: desc = "Tipo de dato invalido para SetByte" ErrorController().add(37, 'Execution', desc, self.line, self.column) return except: desc = "FATAL ERROR --- StringFuncs" ErrorController().add(34, 'Execution', desc, self.line, self.column) class Convert(Expression): ''' La función se usa para devolver el valor después de redondear un número hasta un decimal específico, proporcionado en el argumento. ''' def __init__(self, value, data_type, line, column) : self.value = value self.value = data_type self.alias = f'CONVERT({self.value.alias})' self.line = line self.column = column def __repr__(self): return str(vars(self)) def process(self, environment): try: pass except TypeError: desc = "Tipo de dato invalido para Convert" ErrorController().add(37, 'Execution', desc, self.line, self.column) return except: desc = "FATAL ERROR --- StringFuncs" ErrorController().add(34, 'Execution', desc, self.line, self.column) class Encode(Expression): ''' La función se usa para devolver el valor después de redondear un número hasta un decimal específico, proporcionado en el argumento. ''' def __init__(self, value, format_text, line, column) : self.value = value self.value = format_text self.alias = f'ENCODE({self.value.alias})' self.line = line self.column = column def __repr__(self): return str(vars(self)) def process(self, environment): try: pass except TypeError: desc = "Tipo de dato invalido para Encode" ErrorController().add(37, 'Execution', desc, self.line, self.column) return except: desc = "FATAL ERROR --- StringFuncs" ErrorController().add(34, 'Execution', desc, self.line, self.column) class Decode(Expression): ''' La función se usa para devolver el valor después de redondear un número hasta un decimal específico, proporcionado en el argumento. ''' def __init__(self, value, format_text, line, column) : self.value = value self.value = format_text self.alias = f'DECODE({self.value.alias})' self.line = line self.column = column def __repr__(self): return str(vars(self)) def process(self, environment): try: pass except TypeError: desc = "Tipo de dato invalido para Decode" ErrorController().add(37, 'Execution', desc, self.line, self.column) return except: desc = "FATAL ERROR --- StringFuncs" ErrorController().add(34, 'Execution', desc, self.line, self.column)

35.887043

94

0.597019

1,217

10,802

5.21364

0.077239

0.059574

0.086052

0.079433

0.919622

0.909377

0.904177

0

0.007971

0.303185

10,802

301

95

35.887043

0.834994

0.143122

0

0.799107

0

0.129185

0.032353

0

0.003322

0

1

0.147321

false

0.022321

0.013393

0.049107

0.334821

0

null

0

1

0

1

0

null

0

7

a615955fa87fa409556f68de69bce3a234e603bc

43

py

Python

mx_utils/mailer/__init__.py

marxav0319/MX_Utils

efb2e9efe9cb36054c442ccb3e2ebe0c90b2042c

[ "MIT" ]

null

mx_utils/mailer/__init__.py

marxav0319/MX_Utils

efb2e9efe9cb36054c442ccb3e2ebe0c90b2042c

[ "MIT" ]

null

mx_utils/mailer/__init__.py

marxav0319/MX_Utils

efb2e9efe9cb36054c442ccb3e2ebe0c90b2042c

[ "MIT" ]

null

from .outlook_mailer import Outlook_Mailer

21.5

42

0.883721

6

43

6

0.666667

0.722222

0

0.093023

43

1

43

0.923077

0

1

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true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

a69b9ee30807dbb4e5197e75dbd4c47f3c37c9fc

7,153

py

Python

molmodmt/forms/classes/get/template.py

LMMV/MolModMT

5725d6d5627b07edcbbd5e55318345a136b28c35

[ "MIT" ]

null

molmodmt/forms/classes/get/template.py

LMMV/MolModMT

5725d6d5627b07edcbbd5e55318345a136b28c35

[ "MIT" ]

null

molmodmt/forms/classes/get/template.py

LMMV/MolModMT

5725d6d5627b07edcbbd5e55318345a136b28c35

[ "MIT" ]

null

def getting(item, element='atom', indices=None, ids=None, **kwargs): result=[] args = [ii for ii in kwargs if kwargs[ii]] if element=='atom': for option in args: if option=='n_atoms': raise NotImplementedError elif option in ['atom_name', 'name']: raise NotImplementedError elif option in ['atom_index', 'index']: raise NotImplementedError elif option in ['atom_id', 'id']: raise NotImplementedError elif option in ['atom_type', 'type']: raise NotImplementedError elif option=='n_residues': raise NotImplementedError elif option=='residue_name': raise NotImplementedError elif option=='residue_index': raise NotImplementedError elif option=='residue_id': raise NotImplementedError elif option=='chain_index': raise NotImplementedError elif option=='chain_id': raise NotImplementedError elif option=='n_frames': raise NotImplementedError elif option=='n_chains': raise NotImplementedError elif option=='n_molecules': raise NotImplementedError elif option=='n_aminoacids': raise NotImplementedError elif option=='n_nucleotides': raise NotImplementedError elif option=='n_waters': raise NotImplementedError elif option=='n_ions': raise NotImplementedError elif option=='masses': raise NotImplementedError elif option=='charge': raise NotImplementedError elif option=='net_charge': raise NotImplementedError elif option=='bonded_atoms': raise NotImplementedError elif option=='bonds': raise NotImplementedError elif option=='graph': raise NotImplementedError elif option=='molecules': raise NotImplementedError elif option=='molecule_type': raise NotImplementedError elif option=='coordinates': raise NotImplementedError else: raise NotImplementedError elif element=='residue': for option in args: if option=='n_atoms': raise NotImplementedError elif option=='atom_name': raise NotImplementedError elif option=='atom_type': raise NotImplementedError elif option=='n_residues': raise NotImplementedError elif option=='residue_name': raise NotImplementedError elif option=='residue_index': raise NotImplementedError elif option=='residue_id': raise NotImplementedError elif option=='chain_index': raise NotImplementedError elif option=='chain_id': raise NotImplementedError elif option=='n_frames': raise NotImplementedError elif option=='n_chains': raise NotImplementedError elif option=='n_molecules': raise NotImplementedError elif option=='n_aminoacids': raise NotImplementedError elif option=='n_nucleotides': raise NotImplementedError elif option=='n_waters': raise NotImplementedError elif option=='n_ions': raise NotImplementedError elif option=='masses': raise NotImplementedError elif option=='charge': raise NotImplementedError elif option=='bonded_atoms': raise NotImplementedError elif option=='bonds': raise NotImplementedError elif option=='graph': raise NotImplementedError elif option=='molecules': raise NotImplementedError elif option=='molecule_type': raise NotImplementedError elif option=='coordinates': raise NotImplementedError else: raise NotImplementedError elif element=='molecule': raise NotImplementedError elif element=='chain': for option in args: if option=='n_atoms': raise NotImplementedError elif option=='atom_name': raise NotImplementedError elif option=='atom_type': raise NotImplementedError elif option=='n_residues': raise NotImplementedError elif option=='residue_name': raise NotImplementedError elif option=='residue_index': raise NotImplementedError elif option=='residue_id': raise NotImplementedError elif option=='chain_index': raise NotImplementedError elif option=='chain_id': raise NotImplementedError elif option=='n_frames': raise NotImplementedError elif option=='n_chains': raise NotImplementedError elif option=='n_molecules': raise NotImplementedError elif option=='n_aminoacids': raise NotImplementedError elif option=='n_nucleotides': raise NotImplementedError elif option=='n_waters': raise NotImplementedError elif option=='n_ions': raise NotImplementedError elif option=='masses': raise NotImplementedError elif option=='charge': raise NotImplementedError elif option=='bonded_atoms': raise NotImplementedError elif option=='bonds': raise NotImplementedError elif option=='graph': raise NotImplementedError elif option=='molecules': raise NotImplementedError elif option=='molecule_type': raise NotImplementedError elif option=='coordinates': raise NotImplementedError else: raise NotImplementedError elif element=='trajectory': raise NotImplementedError elif element=='system': for option in args: if option=='n_atoms': raise NotImplementedError elif option=='charge': raise NotImplementedError elif option=='net_charge': raise NotImplementedError else: raise NotImplementedError else: raise NotImplementedError if len(result)==1: return result[0] else: return result

35.410891

68

0.539634

540

7,153

7.038889

0.092593

0.536701

0.581952

0.661931

0.93186

0.914233

0.881084

0

0.000462

0.39452

7,153

201

69

35.587065

0.877165

0

0.913514

0

0.108376

0

1

0.005405

false

0

0.016216

0

null

1

0

1

0

null

0

10

a6a6fc14980282f66177b6b5105afa481026324c

31,873

py

Python

MHD/FEniCS/MHD/Stabilised/SaddlePointForm/Test/SplitMatrix/ScottTest/MHDprec.py

wathen/PhD

35524f40028541a4d611d8c78574e4cf9ddc3278

[ "MIT" ]

3

2020-10-25T13:30:20.000Z

2021-08-10T21:27:30.000Z

MHD/FEniCS/MHD/Stabilised/SaddlePointForm/Test/SplitMatrix/ScottTest/MHDprec.py

wathen/PhD

35524f40028541a4d611d8c78574e4cf9ddc3278

[ "MIT" ]

null

MHD/FEniCS/MHD/Stabilised/SaddlePointForm/Test/SplitMatrix/ScottTest/MHDprec.py

wathen/PhD

35524f40028541a4d611d8c78574e4cf9ddc3278

[ "MIT" ]

3

2019-10-28T16:12:13.000Z

2020-01-13T13:59:44.000Z

import petsc4py import sys petsc4py.init(sys.argv) from petsc4py import PETSc import numpy as np from dolfin import tic, toc import HiptmairSetup import PETScIO as IO import scipy.sparse as sp import MatrixOperations as MO import HiptmairSetup class BaseMyPC(object): def setup(self, pc): pass def reset(self, pc): pass def apply(self, pc, x, y): raise NotImplementedError def applyT(self, pc, x, y): self.apply(pc, x, y) def applyS(self, pc, x, y): self.apply(pc, x, y) def applySL(self, pc, x, y): self.applyS(pc, x, y) def applySR(self, pc, x, y): self.applyS(pc, x, y) def applyRich(self, pc, x, y, w, tols): self.apply(pc, x, y) class Matrix(object): def __init__(self): pass def create(self, mat): pass def destroy(self, mat): pass class InnerOuterMAGNETICinverse(BaseMyPC): def __init__(self, W, kspF, kspA, kspQ,Fp,kspScalar, kspCGScalar, kspVector, G, P, A, Hiptmairtol,Options): self.W = W self.kspF = kspF self.kspA = kspA self.kspQ = kspQ self.Fp = Fp self.kspScalar = kspScalar self.kspCGScalar = kspCGScalar self.kspVector = kspVector # self.Bt = Bt self.HiptmairIts = 0 self.CGits = 0 # print range(self.W[0].dim(),self.W[0].dim()+self.W[1].dim()) # ss self.P = P self.G = G self.AA = A self.tol = Hiptmairtol self.u_is = PETSc.IS().createGeneral(range(self.W[0].dim())) self.p_is = PETSc.IS().createGeneral(range(self.W[0].dim(),self.W[0].dim()+self.W[1].dim())) self.b_is = PETSc.IS().createGeneral(range(self.W[0].dim()+self.W[1].dim(), self.W[0].dim()+self.W[1].dim()+self.W[2].dim())) self.r_is = PETSc.IS().createGeneral(range(self.W[0].dim()+self.W[1].dim()+self.W[2].dim(), self.W[0].dim()+self.W[1].dim()+self.W[2].dim()+self.W[3].dim())) def create(self, pc): print "Create" def setUp(self, pc): A, P = pc.getOperators() print A.size if A.type == 'python': self.Ct = A.getPythonContext().getMatrix("Ct") self.Bt = A.getPythonContext().getMatrix("Bt") else: self.Ct = A.getSubMatrix(self.b_is,self.u_is) self.Bt = A.getSubMatrix(self.p_is,self.u_is) self.Dt = A.getSubMatrix(self.r_is,self.b_is) # print self.Ct.view() #CFC = sp.csr_matrix( (data,(row,column)), shape=(self.W[1].dim(),self.W[1].dim()) ) #print CFC.shape #CFC = PETSc.Mat().createAIJ(size=CFC.shape,csr=(CFC.indptr, CFC.indices, CFC.data)) #print CFC.size, self.AA.size # MO.StoreMatrix(B,"A") # print FC.todense() OptDB = PETSc.Options() OptDB["pc_factor_mat_ordering_type"] = "rcm" OptDB["pc_factor_mat_solver_package"] = "mumps" self.kspA.setType('preonly') self.kspA.getPC().setType('lu') self.kspA.setFromOptions() self.kspA.setPCSide(0) self.kspQ.setType('preonly') self.kspQ.getPC().setType('lu') self.kspQ.setFromOptions() self.kspQ.setPCSide(0) self.kspScalar.setType('preonly') self.kspScalar.getPC().setType('lu') self.kspScalar.setFromOptions() self.kspScalar.setPCSide(0) kspMX = PETSc.KSP() kspMX.create(comm=PETSc.COMM_WORLD) pcMX = kspMX.getPC() kspMX.setType('preonly') pcMX.setType('lu') OptDB = PETSc.Options() kspMX.setOperators(self.AA,self.AA) self.kspMX = kspMX # self.kspCGScalar.setType('preonly') # self.kspCGScalar.getPC().setType('lu') # self.kspCGScalar.setFromOptions() # self.kspCGScalar.setPCSide(0) self.kspVector.setType('preonly') self.kspVector.getPC().setType('lu') self.kspVector.setFromOptions() self.kspVector.setPCSide(0) print "setup" def apply(self, pc, x, y): br = x.getSubVector(self.r_is) xr = br.duplicate() self.kspScalar.solve(br, xr) # print self.D.size x2 = x.getSubVector(self.p_is) y2 = x2.duplicate() y3 = x2.duplicate() xp = x2.duplicate() self.kspA.solve(x2,y2) self.Fp.mult(y2,y3) self.kspQ.solve(y3,xp) # self.kspF.solve(bu1-bu4-bu2,xu) bb = x.getSubVector(self.b_is) xb = bb.duplicate() xxr = bb.duplicate() self.Dt.multTranspose(xr,xxr) self.kspMX.solve(bb-xxr,xb) bu1 = x.getSubVector(self.u_is) bu2 = bu1.duplicate() bu4 = bu1.duplicate() self.Bt.multTranspose(xp,bu2) self.Ct.multTranspose(xb,bu4) XX = bu1.duplicate() xu = XX.duplicate() self.kspF.solve(bu1-bu4+bu2,xu) #self.kspF.solve(bu1,xu) y.array = (np.concatenate([xu.array, -xp.array,xb.array,xr.array])) def ITS(self): return self.CGits, self.HiptmairIts , self.CGtime, self.HiptmairTime class InnerOuterMAGNETICapprox(BaseMyPC): def __init__(self, W, kspF, kspA, kspQ,Fp,kspScalar, kspCGScalar, kspVector, G, P, A, Hiptmairtol,Options): self.W = W self.kspF = kspF self.kspA = kspA self.kspQ = kspQ self.Fp = Fp self.kspScalar = kspScalar self.kspCGScalar = kspCGScalar self.kspVector = kspVector # self.Bt = Bt self.HiptmairIts = 0 self.CGits = 0 # print range(self.W[0].dim(),self.W[0].dim()+self.W[1].dim()) # ss self.P = P self.G = G self.AA = A self.tol = Hiptmairtol self.u_is = PETSc.IS().createGeneral(range(self.W[0].dim())) self.p_is = PETSc.IS().createGeneral(range(self.W[0].dim(),self.W[0].dim()+self.W[1].dim())) self.b_is = PETSc.IS().createGeneral(range(self.W[0].dim()+self.W[1].dim(), self.W[0].dim()+self.W[1].dim()+self.W[2].dim())) self.r_is = PETSc.IS().createGeneral(range(self.W[0].dim()+self.W[1].dim()+self.W[2].dim(), self.W[0].dim()+self.W[1].dim()+self.W[2].dim()+self.W[3].dim())) def create(self, pc): print "Create" def setUp(self, pc): A, P = pc.getOperators() print A.size if A.type == 'python': self.Ct = A.getPythonContext().getMatrix("Ct") self.Bt = A.getPythonContext().getMatrix("Bt") else: self.Ct = A.getSubMatrix(self.b_is,self.u_is) self.Bt = A.getSubMatrix(self.p_is,self.u_is) self.Dt = A.getSubMatrix(self.r_is,self.b_is) # print self.Ct.view() #CFC = sp.csr_matrix( (data,(row,column)), shape=(self.W[1].dim(),self.W[1].dim()) ) #print CFC.shape #CFC = PETSc.Mat().createAIJ(size=CFC.shape,csr=(CFC.indptr, CFC.indices, CFC.data)) #print CFC.size, self.AA.size # MO.StoreMatrix(B,"A") # print FC.todense() #self.kspF.setType('preonly') #self.kspF.getPC().setType('lu') #self.kspF.setFromOptions() #self.kspF.setPCSide(0) print "setup" def apply(self, pc, x, y): br = x.getSubVector(self.r_is) xr = br.duplicate() self.kspScalar.solve(br, xr) # print self.D.size x2 = x.getSubVector(self.p_is) y2 = x2.duplicate() y3 = x2.duplicate() xp = x2.duplicate() self.kspA.solve(x2,y2) self.Fp.mult(y2,y3) self.kspQ.solve(y3,xp) # self.kspF.solve(bu1-bu4-bu2,xu) bb = x.getSubVector(self.b_is) xb = bb.duplicate() #self.kspMX.solve(bb,xb) xxr = bb.duplicate() self.Dt.multTranspose(xr,xxr) xb, its, self.HiptmairTime = HiptmairSetup.HiptmairApply(self.AA, bb-xxr, self.kspScalar, self.kspVector, self.G, self.P, self.tol) bu1 = x.getSubVector(self.u_is) bu2 = bu1.duplicate() bu4 = bu1.duplicate() self.Bt.multTranspose(xp,bu2) self.Ct.multTranspose(xb,bu4) XX = bu1.duplicate() xu = XX.duplicate() self.kspF.solve(bu1-bu4+bu2,xu) #self.kspF.solve(bu1,xu) y.array = (np.concatenate([xu.array, -xp.array,xb.array,xr.array])) def ITS(self): return self.CGits, self.HiptmairIts , self.CGtime, self.HiptmairTime class P(Matrix): def __init__(self, Fspace,P,Mass,L,F,M): self.Fspace = Fspace self.P = P self.Mass = Mass self.L = L self.kspFp = F self.M = M # self.N = (n, n, n) # self.F = zeros([n+2]*3, order='f') def create(self, A): self.IS = MO.IndexSet(self.Fspace) self.F = self.P.getSubMatrix(self.IS[0],self.IS[0]) self.Bt = self.P.getSubMatrix(self.IS[0],self.IS[2]) self.Ct = self.P.getSubMatrix(self.IS[0],self.IS[1]) self.C = self.P.getSubMatrix(self.IS[1],self.IS[0]) self.A = self.P.getSubMatrix(self.IS[3],self.IS[3]) # ksp = PETSc.KSP() # ksp.create(comm=PETSc.COMM_WORLD) # pc = ksp.getPC() # ksp.setType('preonly') # pc.setType('hypre') # ksp.max_it = 1 # ksp.setOperators(self.FF) # self.ksp = ksp print 13333 def mult(self, A, x, y): print 'multi apply' print 333 u = x.getSubVector(self.IS[0]) p = x.getSubVector(self.IS[2]) b = x.getSubVector(self.IS[1]) r = x.getSubVector(self.IS[3]) FQp = p.duplicate() uOut = self.F*u+self.Bt*p+self.Ct*b Qp =self.Mass*p self.kspFp.solve(Qp,FQp) pOut = -self.L*FQp bOut = self.C*u+self.M*b rOut = self.A*r y.array = (np.concatenate([uOut.array, bOut.array, pOut.array, rOut.array])) print "$$$$$$$/$$$$$$$$" # print x.array def multTranspose(self, A, x, y): "y <- A' * x" self.mult(x, y) # def getSubMatrix(self, isrow, iscol, submat=None): # submat = self.P.get class ApproxInv(BaseMyPC): def __init__(self, W, kspF, kspA, kspQ,Fp,kspScalar, kspCGScalar, kspVector, G, P, A, Hiptmairtol,Options): self.W = W self.kspF = kspF self.kspA = kspA self.kspQ = kspQ self.Fp = Fp self.kspScalar = kspScalar self.kspCGScalar = kspCGScalar self.kspVector = kspVector self.Options = Options # self.Bt = Bt self.HiptmairIts = 0 self.CGits = 0 # print range(self.W[0].dim(),self.W[0].dim()+self.W[1].dim()) # ss self.P = P self.G = G self.AA = A self.tol = Hiptmairtol self.u_is = PETSc.IS().createGeneral(range(self.W[0].dim())) self.p_is = PETSc.IS().createGeneral(range(self.W[0].dim(),self.W[0].dim()+self.W[1].dim())) self.b_is = PETSc.IS().createGeneral(range(self.W[0].dim()+self.W[1].dim(), self.W[0].dim()+self.W[1].dim()+self.W[2].dim())) self.r_is = PETSc.IS().createGeneral(range(self.W[0].dim()+self.W[1].dim()+self.W[2].dim(), self.W[0].dim()+self.W[1].dim()+self.W[2].dim()+self.W[3].dim())) def create(self, pc): print "Create" def setUp(self, pc): A, P = pc.getOperators() print A.size if A.type == 'python': self.Ct = A.getPythonContext().getMatrix("Ct") self.Bt = A.getPythonContext().getMatrix("Bt") else: self.Ct = A.getSubMatrix(self.b_is,self.u_is) self.Bt = A.getSubMatrix(self.p_is,self.u_is) self.Dt = A.getSubMatrix(self.r_is,self.b_is) # print self.Ct.view() #CFC = sp.csr_matrix( (data,(row,column)), shape=(self.W[1].dim(),self.W[1].dim()) ) #print CFC.shape #CFC = PETSc.Mat().createAIJ(size=CFC.shape,csr=(CFC.indptr, CFC.indices, CFC.data)) #print CFC.size, self.AA.size # MO.StoreMatrix(B,"A") # print FC.todense() OptDB = PETSc.Options() OptDB["pc_factor_mat_ordering_type"] = "rcm" OptDB["pc_factor_mat_solver_package"] = "mumps" self.kspA.setType('preonly') self.kspA.getPC().setType('lu') self.kspA.setFromOptions() self.kspA.setPCSide(0) self.kspQ.setType('preonly') self.kspQ.getPC().setType('lu') self.kspQ.setFromOptions() self.kspQ.setPCSide(0) self.kspScalar.setType('preonly') self.kspScalar.getPC().setType('lu') self.kspScalar.setFromOptions() self.kspScalar.setPCSide(0) kspMX = PETSc.KSP() kspMX.create(comm=PETSc.COMM_WORLD) pcMX = kspMX.getPC() kspMX.setType('preonly') pcMX.setType('lu') OptDB = PETSc.Options() kspMX.setOperators(self.AA,self.AA) self.kspMX = kspMX # self.kspCGScalar.setType('preonly') # self.kspCGScalar.getPC().setType('lu') # self.kspCGScalar.setFromOptions() # self.kspCGScalar.setPCSide(0) self.kspVector.setType('preonly') self.kspVector.getPC().setType('lu') self.kspVector.setFromOptions() self.kspVector.setPCSide(0) print "setup" def apply(self, pc, x, y): if self.Options == 'BT': b = x.getSubVector(self.b_is) Mxb = b.duplicate() self.kspMX.solve(b,Mxb) r = x.getSubVector(self.r_is) Lr = r.duplicate() self.kspScalar.solve(r, Lr) DL = b.duplicate() self.Dt.multTranspose(Lr,DL) K = b.duplicate() self.kspMX.solve(DL,K) DM = r.duplicate() self.Dt.mult(Mxb,DM) E = r.duplicate() self.kspScalar.solve(DM,E) p = x.getSubVector(self.p_is) Sp2 = p.duplicate() Sp3 = p.duplicate() Sp = p.duplicate() self.kspA.solve(p,Sp2) self.Fp.mult(Sp2,Sp3) self.kspQ.solve(Sp3,Sp) u = x.getSubVector(self.u_is) Fu = u.duplicate() Cb = u.duplicate() Bp = u.duplicate() self.Ct.multTranspose(Mxb,Cb) self.Bt.multTranspose(Sp,Bp) self.kspF.solve(u-Cb+Bp,Fu) y.array = (np.concatenate([Fu.array, -Sp.array, Mxb.array+K.array,E.array])) else: u = x.getSubVector(self.u_is) Fu = u.duplicate() self.kspF.solve(u,Fu) p = x.getSubVector(self.p_is) Sp2 = p.duplicate() Sp3 = p.duplicate() Sp = p.duplicate() self.kspA.solve(p,Sp2) self.Fp.mult(Sp2,Sp3) self.kspQ.solve(Sp3,Sp) b = x.getSubVector(self.b_is) Mxb = b.duplicate() self.kspMX.solve(b,Mxb) r = x.getSubVector(self.r_is) Lr = r.duplicate() self.kspScalar.solve(r, Lr) if self.Options == 'p4': Q = u.duplicate() else: Q1 = u.duplicate() self.Bt.multTranspose(Sp,Q1) Q = u.duplicate() self.kspF(Q1,Q) Y1 = u.duplicate() self.Ct.multTranspose(Mxb,Y1) Y = u.duplicate() self.kspF(Y1,Y) BF = p.duplicate() self.Bt.mult(Fu,BF) if self.Options == 'p3': H = p.duplicate() else: H1 = p.duplicate() H2 = p.duplicate() H = p.duplicate() self.kspA.solve(BF,H1) self.Fp.mult(H1,H2) self.kspQ.solve(H2,H) if self.Options == 'p3': J = p.duplicate() else: BY = p.duplicate() self.Bt.mult(Fu,BY) J1 = p.duplicate() J2 = p.duplicate() J = p.duplicate() self.kspA.solve(BY,J1) self.Fp.mult(J1,J2) self.kspQ.solve(J2,J) CF = b.duplicate() self.Ct.mult(Fu,CF) T = b.duplicate() self.kspMX.solve(CF,T) if self.Options == 'p4': V = b.duplicate() else: CQ = b.duplicate() self.Ct.mult(Q,CQ) V = b.duplicate() self.kspMX.solve(CQ,V) DL = b.duplicate() self.Dt.multTranspose(Lr,DL) K = b.duplicate() self.kspMX.solve(DL,K) DM = r.duplicate() self.Dt.mult(Mxb,DM) E = r.duplicate() self.kspScalar.solve(DM,E) y.array = (np.concatenate([Fu.array+Q.array-Y.array, H.array-Sp.array-J.array, T.array+V.array+Mxb.array+K.array,E.array])) def ITS(self): return self.CGits, self.HiptmairIts , self.CGtime, self.HiptmairTime class ApproxInvApprox(BaseMyPC): def __init__(self, W, kspF, kspA, kspQ,Fp,kspScalar, kspCGScalar, kspVector, G, P, A, Hiptmairtol,Options): self.W = W self.kspF = kspF self.kspA = kspA self.kspQ = kspQ self.Fp = Fp self.kspScalar = kspScalar self.kspCGScalar = kspCGScalar self.kspVector = kspVector self.Options = Options # self.Bt = Bt self.HiptmairIts = 0 self.CGits = 0 # print range(self.W[0].dim(),self.W[0].dim()+self.W[1].dim()) # ss self.P = P self.G = G self.AA = A self.tol = Hiptmairtol self.u_is = PETSc.IS().createGeneral(range(self.W[0].dim())) self.p_is = PETSc.IS().createGeneral(range(self.W[0].dim(),self.W[0].dim()+self.W[1].dim())) self.b_is = PETSc.IS().createGeneral(range(self.W[0].dim()+self.W[1].dim(), self.W[0].dim()+self.W[1].dim()+self.W[2].dim())) self.r_is = PETSc.IS().createGeneral(range(self.W[0].dim()+self.W[1].dim()+self.W[2].dim(), self.W[0].dim()+self.W[1].dim()+self.W[2].dim()+self.W[3].dim())) def create(self, pc): print "Create" def setUp(self, pc): A, P = pc.getOperators() print A.size if A.type == 'python': self.Ct = A.getPythonContext().getMatrix("Ct") self.Bt = A.getPythonContext().getMatrix("Bt") else: self.Ct = A.getSubMatrix(self.b_is,self.u_is) self.Bt = A.getSubMatrix(self.p_is,self.u_is) self.Dt = A.getSubMatrix(self.r_is,self.b_is) print "setup" def apply(self, pc, x, y): if self.Options == 'BT': b = x.getSubVector(self.b_is) Mxb = b.duplicate() # self.kspMX.solve(b,Mxb) Mxb, its, self.HiptmairTime = HiptmairSetup.HiptmairApply(self.AA, b, self.kspScalar, self.kspVector, self.G, self.P, self.tol) r = x.getSubVector(self.r_is) Lr = r.duplicate() self.kspScalar.solve(r, Lr) DL = b.duplicate() self.Dt.multTranspose(Lr,DL) K = b.duplicate() K, its, self.HiptmairTime = HiptmairSetup.HiptmairApply(self.AA, DL, self.kspScalar, self.kspVector, self.G, self.P, self.tol) DM = r.duplicate() self.Dt.mult(Mxb,DM) E = r.duplicate() self.kspScalar.solve(DM,E) p = x.getSubVector(self.p_is) Sp2 = p.duplicate() Sp3 = p.duplicate() Sp = p.duplicate() self.kspA.solve(p,Sp2) self.Fp.mult(Sp2,Sp3) self.kspQ.solve(Sp3,Sp) u = x.getSubVector(self.u_is) Fu = u.duplicate() Cb = u.duplicate() Bp = u.duplicate() self.Ct.multTranspose(Mxb,Cb) self.Bt.multTranspose(Sp,Bp) self.kspF.solve(u-Cb+Bp,Fu) y.array = (np.concatenate([Fu.array, -Sp.array, Mxb.array+K.array,E.array])) else: u = x.getSubVector(self.u_is) Fu = u.duplicate() self.kspF.solve(u,Fu) p = x.getSubVector(self.p_is) Sp2 = p.duplicate() Sp3 = p.duplicate() Sp = p.duplicate() self.kspA.solve(p,Sp2) self.Fp.mult(Sp2,Sp3) self.kspQ.solve(Sp3,Sp) b = x.getSubVector(self.b_is) Mxb = b.duplicate() Mxb, its, self.HiptmairTime = HiptmairSetup.HiptmairApply(self.AA, b, self.kspScalar, self.kspVector, self.G, self.P, self.tol) r = x.getSubVector(self.r_is) Lr = r.duplicate() self.kspScalar.solve(r, Lr) if self.Options == 'p4': Q = u.duplicate() else: Q1 = u.duplicate() self.Bt.multTranspose(Sp,Q1) Q = u.duplicate() self.kspF(Q1,Q) Y1 = u.duplicate() self.Ct.multTranspose(Mxb,Y1) Y = u.duplicate() self.kspF(Y1,Y) BF = p.duplicate() self.Bt.mult(Fu,BF) if self.Options == 'p3': H = p.duplicate() else: H1 = p.duplicate() H2 = p.duplicate() H = p.duplicate() self.kspA.solve(BF,H1) self.Fp.mult(H1,H2) self.kspQ.solve(H2,H) BY = p.duplicate() self.Bt.mult(Fu,BY) if self.Options == 'p3': J = p.duplicate() else: J1 = p.duplicate() J2 = p.duplicate() J = p.duplicate() self.kspA.solve(BY,J1) self.Fp.mult(J1,J2) self.kspQ.solve(J2,J) CF = b.duplicate() self.Ct.mult(Fu,CF) T, its, self.HiptmairTime = HiptmairSetup.HiptmairApply(self.AA, CF, self.kspScalar, self.kspVector, self.G, self.P, self.tol) if self.Options == 'p4': V = b.duplicate() else: CQ = b.duplicate() self.Ct.mult(Q,CQ) V, its, self.HiptmairTime = HiptmairSetup.HiptmairApply(self.AA, CQ, self.kspScalar, self.kspVector, self.G, self.P, self.tol) DL = b.duplicate() self.Dt.multTranspose(Lr,DL) K = b.duplicate() K, its, self.HiptmairTime = HiptmairSetup.HiptmairApply(self.AA, DL, self.kspScalar, self.kspVector, self.G, self.P, self.tol) DM = r.duplicate() self.Dt.mult(Mxb,DM) E = r.duplicate() self.kspScalar.solve(DM,E) y.array = (np.concatenate([Fu.array+Q.array-Y.array, H.array-Sp.array-J.array, T.array+V.array+Mxb.array+K.array,E.array])) def ITS(self): return self.CGits, self.HiptmairIts , self.CGtime, self.HiptmairTime # class ApproxBT(BaseMyPC): # def __init__(self, W, kspF, kspA, kspQ,Fp,kspScalar, kspCGScalar, kspVector, G, P, A, Hiptmairtol,Options): # self.W = W # self.kspF = kspF # self.kspA = kspA # self.kspQ = kspQ # self.Fp = Fp # self.kspScalar = kspScalar # self.kspCGScalar = kspCGScalar # self.kspVector = kspVector # self.Options = Options # # self.Bt = Bt # self.HiptmairIts = 0 # self.CGits = 0 # # print range(self.W[0].dim(),self.W[0].dim()+self.W[1].dim()) # # ss # self.P = P # self.G = G # self.AA = A # self.tol = Hiptmairtol # self.u_is = PETSc.IS().createGeneral(range(self.W[0].dim())) # self.p_is = PETSc.IS().createGeneral(range(self.W[0].dim(),self.W[0].dim()+self.W[1].dim())) # self.b_is = PETSc.IS().createGeneral(range(self.W[0].dim()+self.W[1].dim(), # self.W[0].dim()+self.W[1].dim()+self.W[2].dim())) # self.r_is = PETSc.IS().createGeneral(range(self.W[0].dim()+self.W[1].dim()+self.W[2].dim(), # self.W[0].dim()+self.W[1].dim()+self.W[2].dim()+self.W[3].dim())) # def create(self, pc): # print "Create" # def setUp(self, pc): # A, P = pc.getOperators() # print A.size # if A.type == 'python': # self.Ct = A.getPythonContext().getMatrix("Ct") # self.Bt = A.getPythonContext().getMatrix("Bt") # else: # self.Ct = A.getSubMatrix(self.b_is,self.u_is) # self.Bt = A.getSubMatrix(self.p_is,self.u_is) # self.Dt = A.getSubMatrix(self.r_is,self.b_is) # # print self.Ct.view() # #CFC = sp.csr_matrix( (data,(row,column)), shape=(self.W[1].dim(),self.W[1].dim()) ) # #print CFC.shape # #CFC = PETSc.Mat().createAIJ(size=CFC.shape,csr=(CFC.indptr, CFC.indices, CFC.data)) # #print CFC.size, self.AA.size # # MO.StoreMatrix(B,"A") # # print FC.todense() # OptDB = PETSc.Options() # OptDB["pc_factor_mat_ordering_type"] = "rcm" # OptDB["pc_factor_mat_solver_package"] = "mumps" # self.kspA.setType('preonly') # self.kspA.getPC().setType('lu') # self.kspA.setFromOptions() # self.kspA.setPCSide(0) # self.kspQ.setType('preonly') # self.kspQ.getPC().setType('lu') # self.kspQ.setFromOptions() # self.kspQ.setPCSide(0) # self.kspScalar.setType('preonly') # self.kspScalar.getPC().setType('lu') # self.kspScalar.setFromOptions() # self.kspScalar.setPCSide(0) # kspMX = PETSc.KSP() # kspMX.create(comm=PETSc.COMM_WORLD) # pcMX = kspMX.getPC() # kspMX.setType('preonly') # pcMX.setType('lu') # OptDB = PETSc.Options() # kspMX.setOperators(self.AA,self.AA) # self.kspMX = kspMX # # self.kspCGScalar.setType('preonly') # # self.kspCGScalar.getPC().setType('lu') # # self.kspCGScalar.setFromOptions() # # self.kspCGScalar.setPCSide(0) # self.kspVector.setType('preonly') # self.kspVector.getPC().setType('lu') # self.kspVector.setFromOptions() # self.kspVector.setPCSide(0) # print "setup" # def apply(self, pc, x, y): # def ITS(self): # return self.CGits, self.HiptmairIts , self.CGtime, self.HiptmairTime def FluidSchur(A, b): if len(A) == 1: print "exact Schur complement" x = b.duplicate() A[0].solve(b, x) return x else: print "PCD Schur complement" x1 = b.duplicate() x2 = b.duplicate() x3 = b.duplicate() A[0].solve(b,x1) A[1].mult(x1,x2) A[2].solve(x2,x3) return x3 class ApproxInv(BaseMyPC): def __init__(self, W, kspF, kspA, kspQ,Fp,kspScalar, kspCGScalar, kspVector, G, P, A, Hiptmairtol,Options): self.W = W self.kspF = kspF self.kspA = kspA self.kspQ = kspQ self.Fp = Fp self.kspScalar = kspScalar self.kspCGScalar = kspCGScalar self.kspVector = kspVector # self.Bt = Bt self.HiptmairIts = 0 self.CGits = 0 # print range(self.W[0].dim(),self.W[0].dim()+self.W[1].dim()) # ss self.P = P self.G = G self.AA = A self.tol = Hiptmairtol self.u_is = PETSc.IS().createGeneral(range(self.W[0].dim())) self.p_is = PETSc.IS().createGeneral(range(self.W[0].dim(),self.W[0].dim()+self.W[1].dim())) self.b_is = PETSc.IS().createGeneral(range(self.W[0].dim()+self.W[1].dim(), self.W[0].dim()+self.W[1].dim()+self.W[2].dim())) self.r_is = PETSc.IS().createGeneral(range(self.W[0].dim()+self.W[1].dim()+self.W[2].dim(), self.W[0].dim()+self.W[1].dim()+self.W[2].dim()+self.W[3].dim())) def create(self, pc): print "Create" def setUp(self, pc): A, P = pc.getOperators() print A.size if A.type == 'python': self.Ct = A.getPythonContext().getMatrix("Ct") self.Bt = A.getPythonContext().getMatrix("Bt") else: self.C = A.getSubMatrix(self.u_is,self.b_is) self.B = A.getSubMatrix(self.u_is,self.p_is) self.D = A.getSubMatrix(self.b_is,self.r_is) # print self.Ct.view() #CFC = sp.csr_matrix( (data,(row,column)), shape=(self.W[1].dim(),self.W[1].dim()) ) #print CFC.shape #CFC = PETSc.Mat().createAIJ(size=CFC.shape,csr=(CFC.indptr, CFC.indices, CFC.data)) #print CFC.size, self.AA.size # MO.StoreMatrix(B,"A") # print FC.todense() OptDB = PETSc.Options() OptDB["pc_factor_mat_ordering_type"] = "rcm" OptDB["pc_factor_mat_solver_package"] = "mumps" self.kspA.setType('preonly') self.kspA.getPC().setType('lu') self.kspA.setFromOptions() self.kspA.setPCSide(0) self.kspQ.setType('preonly') self.kspQ.getPC().setType('lu') self.kspQ.setFromOptions() self.kspQ.setPCSide(0) self.kspScalar.setType('preonly') self.kspScalar.getPC().setType('lu') self.kspScalar.setFromOptions() self.kspScalar.setPCSide(0) kspMX = PETSc.KSP() kspMX.create(comm=PETSc.COMM_WORLD) pcMX = kspMX.getPC() kspMX.setType('preonly') pcMX.setType('lu') OptDB = PETSc.Options() kspMX.setOperators(self.AA,self.AA) self.kspMX = kspMX # self.kspCGScalar.setType('preonly') # self.kspCGScalar.getPC().setType('lu') # self.kspCGScalar.setFromOptions() # self.kspCGScalar.setPCSide(0) self.kspVector.setType('preonly') self.kspVector.getPC().setType('lu') self.kspVector.setFromOptions() self.kspVector.setPCSide(0) print "setup" def apply(self, pc, x, y): bu = x.getSubVector(self.u_is) invF = bu.duplicate() bb = x.getSubVector(self.b_is) invMX = bb.duplicate() br = x.getSubVector(self.r_is) invL = br.duplicate() self.kspF.solve(bu,invF) invS = FluidSchur([kspA, Fp, KspQ], bp) self.kspMX.solve(bb,invMX) self.kspScalar.solve(br,invL) # outP = barF - invS - Schur(B*F(C'*invMx)); # outU = invF - F(B'*barF) + barS; xp1 = xp.duplicate() self.B.mult(invF, xp1) barF = FluidSchur([kspA, Fp, KspQ], xp1) xu1 = xu.duplicate() barS = xu.duplicate() self.B.multTranspose(invS, xu1) self.kspF.solve(xu1, barS) # outR = (L(D*invMx)); xr1 = xr.duplicate() outR = xr.duplicate() self.D.mult(invMX, xr1) self.kspScalar(xr1, outR) # outB = (Mx(C*barS) + invMx + Mx(D'*invL)); xb1 = invMX.duplicate() xb2 = invMX.duplicate() xb3 = invMX.duplicate() xb4 = invMX.duplicate() self.D.multTranspose(invL, xb1) self.kspMX.solve(xb1, xb2) self.C.mult(xp, xb3) self.kspMX.solve(xb3, xb4) outB = xb4 + xb + xb2 xp1 = xu.duplicate() xp2 = xu.duplicate() xp3 = xp.duplicate() self.C.multTranspose(xb, xp1) self.kspF.solve(xp1, xp2) self.B.mult(xp2, xp3) xp4 = FluidSchur([kspA, Fp, KspQ], xp3) outP = barF - xp - xp4; xu1 = xu.duplicate() xu2 = xu.duplicate() self.B.multTranspose(barF, xu1) self.kspF.solve(xu1, xu2) outU = xu - xu2 + barS; y.array = (np.concatenate([outU.array, outP.array, outB.array, outR.array])) def ITS(self): return self.CGits, self.HiptmairIts , self.CGtime, self.HiptmairTime

29.955827

142

0.534214

4,191

31,873

4.024099

0.057027

0.04032

0.042218

0.028817

0.868841

0.854195

0.844234

0.835162

0.818678

0

0.016175

0.307533

31,873

1,063

143

29.984008

0.74795

0.187118

0

0.810185

0

0.020561

0.006413

0

null

0.007716

0.015432

null

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null

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1

0

1

0

null

0

1

0

8

a6b4c99ff731f87418d673952732b7a0b7d6f5a6

90

py

Python

Math/10869_사칙연산/10869_사칙연산.py

7dudtj/BOJ_myCode

37d105590a7963e2232102b3098fea3c3504b96f

[ "MIT" ]

1

2022-03-30T15:50:47.000Z

Math/10869_사칙연산/10869_사칙연산.py

7dudtj/BOJ_myCode

37d105590a7963e2232102b3098fea3c3504b96f

[ "MIT" ]

null

Math/10869_사칙연산/10869_사칙연산.py

7dudtj/BOJ_myCode

37d105590a7963e2232102b3098fea3c3504b96f

[ "MIT" ]

1

2021-07-20T07:11:06.000Z

A, B = map(int, input().split()) print(A+B) print(A-B) print(A*B) print(A//B) print(A%B)

11.25

32

0.588889

21

90

2.52381

0.333333

0.226415

0.660377

0.90566

0.660377

0

0.122222

90

7

33

12.857143

0.670886

0

1

0

true

0

0.833333

1

0

null

1

0

1

0

1

0

null

0

1

0

1

0

8

5b3b240823076c031b7ca093f07c6d2080ca9fb4

3,026

py

Python

test/test_dlt.py

strawlab/flyvr

335892cae740e53e82e07b526e1ba53fbd34b0ce

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

3

2015-01-29T14:09:25.000Z

2016-04-24T04:25:49.000Z

test/test_dlt.py

strawlab/flyvr

335892cae740e53e82e07b526e1ba53fbd34b0ce

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

null

test/test_dlt.py

strawlab/flyvr

335892cae740e53e82e07b526e1ba53fbd34b0ce

[ "ECL-2.0", "Apache-2.0", "MIT-0", "MIT" ]

null

#!/usr/bin/env python3 import numpy as np # ROS imports import roslib; roslib.load_manifest('freemovr_engine') import freemovr_engine.dlt as dlt from pymvg.camera_model import CameraModel # some sample data ----------------------- XYZ = np.array([[ 2.00000000e-02, 0.00000000e+00, 0.00000000e+00], [ 1.22464680e-18, 0.00000000e+00, 2.00000000e-02], [ 1.41421356e-02, 0.00000000e+00, -1.41421356e-02], [ 1.41421356e-02, 0.00000000e+00, 1.41421356e-02], [ -3.67394040e-18, -2.00000000e-02, 0.00000000e+00], [ 1.22464680e-18, 2.00000000e-02, 0.00000000e+00], [ 1.00000000e-02, 1.00000000e-02, -1.41421356e-02], [ 1.00000000e-02, -1.00000000e-02, -1.41421356e-02], [ 1.41421356e-02, 1.41421356e-02, 0.00000000e+00], [ 1.41421356e-02, -1.41421356e-02, 0.00000000e+00], [ 2.00000000e-02, 0.00000000e+00, 0.00000000e+00], [ 1.22464680e-18, 0.00000000e+00, 2.00000000e-02], [ 1.41421356e-02, 0.00000000e+00, -1.41421356e-02], [ 1.41421356e-02, 0.00000000e+00, 1.41421356e-02], [ -3.67394040e-18, -2.00000000e-02, 0.00000000e+00], [ 1.22464680e-18, 2.00000000e-02, 0.00000000e+00], [ 1.00000000e-02, 1.00000000e-02, -1.41421356e-02], [ 1.00000000e-02, -1.00000000e-02, -1.41421356e-02], [ 1.41421356e-02, 1.41421356e-02, 0.00000000e+00], [ 1.41421356e-02, -1.41421356e-02, 0.00000000e+00]]) xy = np.array([[ 467.85551727, 663.68835971], [ 466.81674246, 590.70322096], [ 469.81695678, 723.93789261], [ 469.3536242 , 616.7838872 ], [ 389.60089819, 678.51156788], [ 549.99472131, 667.72203292], [ 522.4649629 , 725.09611373], [ 415.840405 , 729.02607287], [ 524.74859392, 665.29342667], [ 414.28125927, 665.94255981], [ 467.85551727, 663.68835971], [ 466.81674246, 590.70322096], [ 469.81695678, 723.93789261], [ 469.3536242 , 616.7838872 ], [ 389.60089819, 678.51156788], [ 549.99472131, 667.72203292], [ 522.4649629 , 725.09611373], [ 415.840405 , 729.02607287], [ 524.74859392, 665.29342667], [ 414.28125927, 665.94255981]]) # the tests ------------------- def test_basic_dlt(): results = dlt.dlt(XYZ, xy, ransac=False) assert results['mean_reprojection_error'] < 6.0 c1 = CameraModel.load_camera_from_M( results['pmat'] ) def test_ransac_dlt(): np.random.seed(3) # try to prevent following from failing occasionally results = dlt.dlt(XYZ, xy, ransac=True) assert results['mean_reprojection_error'] < 5.0

47.28125

74

0.532716

355

3,026

4.498592

0.287324

0.03757

0.150282

0.12273

0.792736

0.750157

0.7201

0

0.527658

0.312954

3,026

63

75

48.031746

0.2405

0.051223

0

0.615385

0

0.02268

0.01605

0

0.038462

1

0.038462

false

0

0.076923

0

0.115385

0

null

0

1

0

1

0

1

0

null

0

7

5b4e5e5b4d3143299b3237bf62a8529133f06817

319,871

py

Python

tests/tools/arachni/arachni_reports_1_2_1.py

owtf/ptp

b43e581d7646330810f526432c689c3d88995df9

[ "BSD-3-Clause" ]

23

2015-03-22T09:18:35.000Z

2022-03-10T23:28:13.000Z

tests/tools/arachni/arachni_reports_1_2_1.py

owtf/ptp

b43e581d7646330810f526432c689c3d88995df9

[ "BSD-3-Clause" ]

22

2015-07-12T12:23:40.000Z

2017-02-26T12:39:48.000Z

tests/tools/arachni/arachni_reports_1_2_1.py

owtf/ptp

b43e581d7646330810f526432c689c3d88995df9

[ "BSD-3-Clause" ]

14

2015-06-03T19:16:22.000Z

2022-03-10T23:28:15.000Z

report_high = r"""<?xml version="1.0"?> <report xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:noNamespaceSchemaLocation="https://raw.githubusercontent.com/Arachni/arachni/v1.2.1/components/reporters/xml/schema.xsd"> <version>1.2.1</version> <options>--- input: values: {} default_values: "(?i-mx:name)": arachni_name "(?i-mx:user)": arachni_user "(?i-mx:usr)": arachni_user "(?i-mx:pass)": 5543!%arachni_secret "(?i-mx:txt)": arachni_text "(?i-mx:num)": '132' "(?i-mx:amount)": '100' "(?i-mx:mail)": arachni@email.gr "(?i-mx:account)": '12' "(?i-mx:id)": '1' without_defaults: false force: false audit: parameter_values: true exclude_vector_patterns: [] include_vector_patterns: [] link_templates: [] links: true forms: true cookies: true jsons: true xmls: true browser_cluster: wait_for_elements: {} pool_size: 6 job_timeout: 25 worker_time_to_live: 100 ignore_images: false screen_width: 1600 screen_height: 1200 session: {} http: user_agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 request_timeout: 10000 request_redirect_limit: 5 request_concurrency: 20 request_queue_size: 100 request_headers: {} response_max_size: 500000 cookies: {} scope: redundant_path_patterns: {} dom_depth_limit: 5 exclude_path_patterns: [] exclude_content_patterns: [] include_path_patterns: [] restrict_paths: [] extend_paths: [] url_rewrites: {} datastore: report_path: "/root/Desktop/arachni.afr" checks: - htaccess_limit - insecure_client_access_policy - interesting_responses - insecure_cross_domain_policy_access - insecure_cross_domain_policy_headers - backdoors - directory_listing - origin_spoof_access_restriction_bypass - backup_directories - http_put - xst - localstart_asp - common_admin_interfaces - common_files - common_directories - webdav - backup_files - captcha - private_ip - http_only_cookies - x_frame_options - unencrypted_password_forms - insecure_cookies - password_autocomplete - cookie_set_for_parent_domain - insecure_cors_policy - credit_card - ssn - html_objects - form_upload - mixed_resource - hsts - cvs_svn_users - emails - allowed_methods - sql_injection - code_injection_timing - no_sql_injection - session_fixation - path_traversal - unvalidated_redirect - trainer - os_cmd_injection_timing - response_splitting - xxe - file_inclusion - csrf - xss_event - xss_path - source_code_disclosure - rfi - xss_dom_script_context - no_sql_injection_differential - unvalidated_redirect_dom - sql_injection_differential - xpath_injection - ldap_injection - xss_tag - xss_script_context - xss - code_injection_php_input_wrapper - xss_dom - os_cmd_injection - code_injection - sql_injection_timing - xss_dom_inputs platforms: [] plugins: {} no_fingerprinting: false authorized_by: url: http://elearnix.org/ </options> <start_datetime>2016-06-07T09:37:38-04:00</start_datetime> <finish_datetime>2016-06-07T09:55:29-04:00</finish_datetime> <sitemap> <entry url="http://elearnix.org/" code="200"/> </sitemap> <issues> <issue> <name>Cross-Site Request Forgery</name> <description> In the majority of today's web applications, clients are required to submit forms which can perform sensitive operations. An example of such a form being used would be when an administrator wishes to create a new user for the application. In the simplest version of the form, the administrator would fill-in: * Name * Password * Role (level of access) Continuing with this example, Cross Site Request Forgery (CSRF) would occur when the administrator is tricked into clicking on a link, which if logged into the application, would automatically submit the form without any further interaction. Cyber-criminals will look for sites where sensitive functions are performed in this manner and then craft malicious requests that will be used against clients via a social engineering attack. There are 3 things that are required for a CSRF attack to occur: 1. The form must perform some sort of sensitive action. 2. The victim (the administrator the example above) must have an active session. 3. Most importantly, all parameter values must be **known** or **guessable**. Arachni discovered that all parameters within the form were known or predictable and therefore the form could be vulnerable to CSRF. _Manual verification may be required to check whether the submission will then perform a sensitive action, such as reset a password, modify user profiles, post content on a forum, etc._ </description> <remedy_guidance> Based on the risk (determined by manual verification) of whether the form submission performs a sensitive action, the addition of anti-CSRF tokens may be required. These tokens can be configured in such a way that each session generates a new anti-CSRF token or such that each individual request requires a new token. It is important that the server track and maintain the status of each token (in order to reject requests accompanied by invalid ones) and therefore prevent cyber-criminals from knowing, guessing or reusing them. _For examples of framework specific remediation options, please refer to the references._ </remedy_guidance> <remedy_code/> <severity>high</severity> <check> <name>CSRF</name> <description> It uses differential analysis to determine which forms affect business logic and checks them for lack of anti-CSRF tokens. (Works best with a valid session.) </description> <author>Tasos "Zapotek" Laskos <tasos.laskos@arachni-scanner.com> </author> <version>0.3.5</version> <shortname>csrf</shortname> </check> <cwe>352</cwe> <digest>1606559286</digest> <references> <reference title="Wikipedia" url="http://en.wikipedia.org/wiki/Cross-site_request_forgery"/> <reference title="OWASP" url="https://www.owasp.org/index.php/Cross-Site_Request_Forgery_(CSRF)"/> <reference title="CGI Security" url="http://www.cgisecurity.com/csrf-faq.html"/> </references> <vector> <class>Arachni::Element::Form</class> <type>form</type> <url>http://elearnix.org/</url> <action>http://elearnix.org/verify.php</action> <source><form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/"> <input type="submit" value="Delist"> </form></source> <affected_input_name/> <inputs> <input name="recaptcha_challenge_field" value=""/> <input name="recaptcha_response_field" value="manual_challenge"/> <input name="origin_url" value="http://elearnix.org/"/> </inputs> </vector> <variations> <variation> <vector> <seed/> <inputs> <input name="recaptcha_challenge_field" value=""/> <input name="recaptcha_response_field" value="manual_challenge"/> <input name="origin_url" value="http://elearnix.org/"/> </inputs> </vector> <remarks/> <page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </page> <referring_page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </referring_page> <signature/> <proof><form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/"> <input type="submit" value="Delist"> </form></proof> <trusted>true</trusted> <platform_type/> <platform_name/> </variation> </variations> </issue> <issue> <name>HTTP TRACE</name> <description> The `TRACE` HTTP method allows a client so send a request to the server, and have the same request then send back in the server's response. This allows the client to determine if the server is receiving the request as expected or if specific parts of the request are not arriving as expected. For example incorrect encoding or a load balancer has filtered or changed a value. On many default installations the `TRACE` method is still enabled. While not vulnerable by itself, it does provide a method for cyber-criminals to bypass the `HTTPOnly` cookie flag, and therefore could allow a XSS attack to successfully access a session token. Arachni has discovered that the affected page permits the HTTP `TRACE` method. </description> <remedy_guidance> The HTTP `TRACE` method is normally not required within production sites and should therefore be disabled. Depending on the function being performed by the web application, the risk level can start low and increase as more functionality is implemented. The remediation is typically a very simple configuration change and in most cases will not have any negative impact on the server or application. </remedy_guidance> <remedy_code/> <severity>medium</severity> <check> <name>XST</name> <description>Sends an HTTP TRACE request and checks if it succeeded.</description> <author>Tasos "Zapotek" Laskos <tasos.laskos@arachni-scanner.com></author> <version>0.1.7</version> <shortname>xst</shortname> </check> <cwe>693</cwe> <digest>1441521763</digest> <references> <reference title="CAPEC" url="http://capec.mitre.org/data/definitions/107.html"/> <reference title="OWASP" url="http://www.owasp.org/index.php/Cross_Site_Tracing"/> </references> <vector> <class>Arachni::Element::Server</class> <type>server</type> <url>http://elearnix.org/</url> <action>http://elearnix.org/</action> </vector> <variations> <variation> <vector/> <remarks/> <page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>trace</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>TRACE / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>2.3537</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:43 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:43 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </page> <referring_page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </referring_page> <signature/> <proof>HTTP/1.1 200 OK</proof> <trusted>true</trusted> <platform_type/> <platform_name/> </variation> </variations> </issue> <issue> <name>Missing 'X-Frame-Options' header</name> <description> Clickjacking (User Interface redress attack, UI redress attack, UI redressing) is a malicious technique of tricking a Web user into clicking on something different from what the user perceives they are clicking on, thus potentially revealing confidential information or taking control of their computer while clicking on seemingly innocuous web pages. The server didn't return an `X-Frame-Options` header which means that this website could be at risk of a clickjacking attack. The `X-Frame-Options` HTTP response header can be used to indicate whether or not a browser should be allowed to render a page inside a frame or iframe. Sites can use this to avoid clickjacking attacks, by ensuring that their content is not embedded into other sites. </description> <remedy_guidance> Configure your web server to include an X-Frame-Options header. </remedy_guidance> <remedy_code/> <severity>low</severity> <check> <name>Missing X-Frame-Options header</name> <description>Checks the host for a missing `X-Frame-Options` header.</description> <author>Tasos Laskos <tasos.laskos@arachni-scanner.com></author> <version>0.1.1</version> <shortname>x_frame_options</shortname> </check> <cwe>693</cwe> <digest>730375711</digest> <references> <reference title="MDN" url="https://developer.mozilla.org/en-US/docs/Web/HTTP/X-Frame-Options"/> <reference title="RFC" url="http://tools.ietf.org/html/rfc7034"/> <reference title="OWASP" url="https://www.owasp.org/index.php/Clickjacking"/> </references> <vector> <class>Arachni::Element::Server</class> <type>server</type> <url>http://elearnix.org/</url> <action>http://elearnix.org/</action> </vector> <variations> <variation> <vector/> <remarks/> <page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </page> <referring_page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </referring_page> <signature/> <proof>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </proof> <trusted>true</trusted> <platform_type/> <platform_name/> </variation> </variations> </issue> <issue> <name>Interesting response</name> <description> The server responded with a non 200 (OK) nor 404 (Not Found) status code. This is a non-issue, however exotic HTTP response status codes can provide useful insights into the behavior of the web application and assist with the penetration test. </description> <remedy_guidance/> <remedy_code/> <severity>informational</severity> <check> <name>Interesting responses</name> <description>Logs all non 200 (OK) server responses.</description> <author>Tasos "Zapotek" Laskos <tasos.laskos@arachni-scanner.com></author> <version>0.2.1</version> <shortname>interesting_responses</shortname> </check> <digest>2686368332</digest> <references> <reference title="w3.org" url="http://www.w3.org/Protocols/rfc2616/rfc2616-sec10.html"/> </references> <vector> <class>Arachni::Element::Server</class> <type>server</type> <url>http://elearnix.org/.adm</url> <action>http://elearnix.org/.adm</action> </vector> <variations> <variation> <vector/> <remarks/> <page> <body>Invalid URI /.adm</body> <request> <url>http://elearnix.org/.adm</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET /.adm HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/.adm</url> <code>403</code> <ip_address>31.220.16.186</ip_address> <time>7.4241</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:49 GMT"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Content-Type" value="text/plain"/> <header name="Content-Length" value="17"/> </headers> <body>Invalid URI /.adm</body> <raw_headers>HTTP/1.1 403 Forbidden Date: Tue, 07 Jun 2016 13:37:49 GMT Server: Apache/2.2.16 (Debian) Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Content-Type: text/plain Content-Length: 17  </raw_headers> </response> <dom> <url>http://elearnix.org/.adm</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </page> <referring_page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </referring_page> <signature/> <proof>HTTP/1.1 403 Forbidden</proof> <trusted>true</trusted> <platform_type/> <platform_name/> </variation> </variations> </issue> <issue> <name>CAPTCHA protected form</name> <description> To prevent the automated abuse of a page, applications can implement what is known as a CAPTCHA. These are used to ensure human interaction with the application and are often used on forms where the application conducts sensitive actions. These typically include user registration, or submitting emails via "Contact Us" pages etc. Arachni has flagged this not as a vulnerability, but as a prompt for the penetration tester to conduct further manual testing on the CAPTCHA function, as Arachni cannot audit CAPTCHA protected forms. Testing for insecurely implemented CAPTCHA is a manual process, and an insecurely implemented CAPTCHA could allow a cyber-criminal a means to abuse these sensitive actions. </description> <remedy_guidance> Although no remediation may be required based on this finding alone, manual testing should ensure that: 1. The server keeps track of CAPTCHA tokens in use and has the token terminated after its first use or after a period of time. Therefore preventing replay attacks. 2. The CAPTCHA answer is not hidden in plain text within the response that is sent to the client. 3. The CAPTCHA image should not be weak and easily solved. </remedy_guidance> <remedy_code/> <severity>informational</severity> <check> <name>CAPTCHA</name> <description>Greps pages for forms with CAPTCHAs.</description> <author>Tasos "Zapotek" Laskos <tasos.laskos@arachni-scanner.com></author> <version>0.2</version> <shortname>captcha</shortname> </check> <digest>1495184166</digest> <references/> <vector> <class>Arachni::Element::Form</class> <type>form</type> <url>http://elearnix.org/</url> <action>http://elearnix.org/verify.php</action> <source><form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/"> <input type="submit" value="Delist"> </form></source> <affected_input_name/> <inputs> <input name="recaptcha_challenge_field" value=""/> <input name="recaptcha_response_field" value="manual_challenge"/> <input name="origin_url" value="http://elearnix.org/"/> </inputs> </vector> <variations> <variation> <vector> <seed/> <inputs> <input name="recaptcha_challenge_field" value=""/> <input name="recaptcha_response_field" value="manual_challenge"/> <input name="origin_url" value="http://elearnix.org/"/> </inputs> </vector> <remarks/> <page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </page> <referring_page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </referring_page> <signature>captcha</signature> <proof><form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/"> <input type="submit" value="Delist"> </form></proof> <trusted>true</trusted> <platform_type/> <platform_name/> </variation> </variations> </issue> <issue> <name>Interesting response</name> <description> The server responded with a non 200 (OK) nor 404 (Not Found) status code. This is a non-issue, however exotic HTTP response status codes can provide useful insights into the behavior of the web application and assist with the penetration test. </description> <remedy_guidance/> <remedy_code/> <severity>informational</severity> <check> <name>Interesting responses</name> <description>Logs all non 200 (OK) server responses.</description> <author>Tasos "Zapotek" Laskos <tasos.laskos@arachni-scanner.com></author> <version>0.2.1</version> <shortname>interesting_responses</shortname> </check> <digest>3783498189</digest> <references> <reference title="w3.org" url="http://www.w3.org/Protocols/rfc2616/rfc2616-sec10.html"/> </references> <vector> <class>Arachni::Element::Server</class> <type>server</type> <url>http://elearnix.org/.git/HEAD</url> <action>http://elearnix.org/.git/HEAD</action> </vector> <variations> <variation> <vector/> <remarks/> <page> <body>Invalid URI /.git/HEAD</body> <request> <url>http://elearnix.org/.git/HEAD</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET /.git/HEAD HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/.git/HEAD</url> <code>403</code> <ip_address>31.220.16.186</ip_address> <time>7.3712</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:49 GMT"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Content-Type" value="text/plain"/> <header name="Content-Length" value="22"/> </headers> <body>Invalid URI /.git/HEAD</body> <raw_headers>HTTP/1.1 403 Forbidden Date: Tue, 07 Jun 2016 13:37:49 GMT Server: Apache/2.2.16 (Debian) Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Content-Type: text/plain Content-Length: 22  </raw_headers> </response> <dom> <url>http://elearnix.org/.git/HEAD</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </page> <referring_page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </referring_page> <signature/> <proof>HTTP/1.1 403 Forbidden</proof> <trusted>true</trusted> <platform_type/> <platform_name/> </variation> </variations> </issue> <issue> <name>Interesting response</name> <description> The server responded with a non 200 (OK) nor 404 (Not Found) status code. This is a non-issue, however exotic HTTP response status codes can provide useful insights into the behavior of the web application and assist with the penetration test. </description> <remedy_guidance/> <remedy_code/> <severity>informational</severity> <check> <name>Interesting responses</name> <description>Logs all non 200 (OK) server responses.</description> <author>Tasos "Zapotek" Laskos <tasos.laskos@arachni-scanner.com></author> <version>0.2.1</version> <shortname>interesting_responses</shortname> </check> <digest>680817867</digest> <references> <reference title="w3.org" url="http://www.w3.org/Protocols/rfc2616/rfc2616-sec10.html"/> </references> <vector> <class>Arachni::Element::Server</class> <type>server</type> <url>http://elearnix.org/.admin</url> <action>http://elearnix.org/.admin</action> </vector> <variations> <variation> <vector/> <remarks/> <page> <body>Invalid URI /.admin</body> <request> <url>http://elearnix.org/.admin</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET /.admin HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/.admin</url> <code>403</code> <ip_address>31.220.16.186</ip_address> <time>4.2526</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:43 GMT"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Content-Type" value="text/plain"/> <header name="Content-Length" value="19"/> </headers> <body>Invalid URI /.admin</body> <raw_headers>HTTP/1.1 403 Forbidden Date: Tue, 07 Jun 2016 13:37:43 GMT Server: Apache/2.2.16 (Debian) Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Content-Type: text/plain Content-Length: 19  </raw_headers> </response> <dom> <url>http://elearnix.org/.admin</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </page> <referring_page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </referring_page> <signature/> <proof>HTTP/1.1 403 Forbidden</proof> <trusted>true</trusted> <platform_type/> <platform_name/> </variation> </variations> </issue> <issue> <name>E-mail address disclosure</name> <description> Email addresses are typically found on "Contact us" pages, however, they can also be found within scripts or code comments of the application. They are used to provide a legitimate means of contacting an organisation. As one of the initial steps in information gathering, cyber-criminals will spider a website and using automated methods collect as many email addresses as possible, that they may then use in a social engineering attack. Using the same automated methods, Arachni was able to detect one or more email addresses that were stored within the affected page. </description> <remedy_guidance>E-mail addresses should be presented in such a way that it is hard to process them automatically.</remedy_guidance> <remedy_code/> <severity>informational</severity> <check> <name>E-mail address</name> <description>Greps pages for disclosed e-mail addresses.</description> <author>Tasos "Zapotek" Laskos <tasos.laskos@arachni-scanner.com></author> <version>0.2.1</version> <shortname>emails</shortname> </check> <cwe>200</cwe> <digest>4057954726</digest> <references/> <vector> <class>Arachni::Element::Body</class> <type>body</type> <url>http://elearnix.org/</url> <action>http://elearnix.org/</action> </vector> <variations> <variation> <vector/> <remarks/> <page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </page> <referring_page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </referring_page> <signature>[A-Z0-9._%+-]+(?:@|\s*\[at\]\s*)[A-Z0-9.-]+(?:\.|\s*\[dot\]\s*)[A-Z]{2,4}</signature> <proof>csapda@web-server.hu</proof> <trusted>true</trusted> <platform_type/> <platform_name/> </variation> <variation> <vector/> <remarks/> <page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </page> <referring_page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </referring_page> <signature>[A-Z0-9._%+-]+(?:@|\s*\[at\]\s*)[A-Z0-9.-]+(?:\.|\s*\[dot\]\s*)[A-Z]{2,4}</signature> <proof>csapda@astrohost.com</proof> <trusted>true</trusted> <platform_type/> <platform_name/> </variation> </variations> </issue> <issue> <name>Interesting response</name> <description> The server responded with a non 200 (OK) nor 404 (Not Found) status code. This is a non-issue, however exotic HTTP response status codes can provide useful insights into the behavior of the web application and assist with the penetration test. </description> <remedy_guidance/> <remedy_code/> <severity>informational</severity> <check> <name>Interesting responses</name> <description>Logs all non 200 (OK) server responses.</description> <author>Tasos "Zapotek" Laskos <tasos.laskos@arachni-scanner.com></author> <version>0.2.1</version> <shortname>interesting_responses</shortname> </check> <digest>710586659</digest> <references> <reference title="w3.org" url="http://www.w3.org/Protocols/rfc2616/rfc2616-sec10.html"/> </references> <vector> <class>Arachni::Element::Server</class> <type>server</type> <url>http://elearnix.org/.svn/all-wcprops</url> <action>http://elearnix.org/.svn/all-wcprops</action> </vector> <variations> <variation> <vector/> <remarks/> <page> <body>Invalid URI /.svn/all-wcprops</body> <request> <url>http://elearnix.org/.svn/all-wcprops</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET /.svn/all-wcprops HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/.svn/all-wcprops</url> <code>403</code> <ip_address>31.220.16.186</ip_address> <time>1.4663</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:44 GMT"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Content-Type" value="text/plain"/> <header name="Content-Length" value="29"/> </headers> <body>Invalid URI /.svn/all-wcprops</body> <raw_headers>HTTP/1.1 403 Forbidden Date: Tue, 07 Jun 2016 13:37:44 GMT Server: Apache/2.2.16 (Debian) Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Content-Type: text/plain Content-Length: 29  </raw_headers> </response> <dom> <url>http://elearnix.org/.svn/all-wcprops</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </page> <referring_page> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <request> <url>http://elearnix.org/</url> <method>get</method> <parameters/> <headers> <header name="Accept" value="text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8"/> <header name="User-Agent" value="Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0"/> </headers> <body/> <raw>GET / HTTP/1.1 Host: elearnix.org Accept-Encoding: gzip, deflate User-Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 Accept: text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8  </raw> </request> <response> <url>http://elearnix.org/</url> <code>200</code> <ip_address>31.220.16.186</ip_address> <time>0.9839</time> <return_code>ok</return_code> <return_message>No error</return_message> <headers> <header name="Date" value="Tue, 07 Jun 2016 13:37:38 GMT"/> <header name="Cache-Control" value="no-cache, no-store, must-revalidate"/> <header name="Pragma" value="no-cache"/> <header name="Expires" value="0"/> <header name="Server" value="Apache/2.2.16 (Debian)"/> <header name="Content-Length" value="6557"/> <header name="Connection" value="close"/> </headers> <body><html> <head> <title>Visitor anti-robot validation</title> <meta charset="UTF-8" /> <meta http-equiv="Content-Type" content="text/html;charset=UTF-8" /> <link rel="stylesheet" type="text/css" href="/css/style.css" /> <meta http-equiv="content-type" content="text/html; charset=utf-8" /> <meta name="robots" content="noindex, nofollow" /> <meta name="keywords" content="joomla, Joomla, joomla 1.5, wordpress 2.5, Drupal" /> <meta name="description" content="Joomla!" /> <meta name="generator" content="Joomla! 1.5 - Open Source Content Management" /> <meta name="generator" content="WordPress 2.5" /> </head> <body> <div class="container"> <div> <h1>Dear visitor</h1> <p>To reach the website securely, please fill in the characters shown below.</p> <p><strong></strong></p> </div> <div class="left"> <img src="/img/logo.png" alt="" /> </div> <div class="right"> <form method="post" action="/verify.php"> <script type="text/javascript" src="http://www.google.com/recaptcha/api/challenge?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC"></script> <noscript> <iframe src="http://www.google.com/recaptcha/api/noscript?k=6LfRteUSAAAAAFQ4IlQQdjP_E7ek9ElCzSo5TDxC" height="300" width="500" frameborder="0"></iframe><br/> <textarea name="recaptcha_challenge_field" rows="3" cols="40"></textarea> <input type="hidden" name="recaptcha_response_field" value="manual_challenge"/> </noscript> <input type="hidden" name="origin_url" value="http://elearnix.org/" /> <input type="submit" value="Delist" /> </form> </div> <div class="clear"></div> <div> <h1>Why is it necessary?</h1> <p>Your IP address (125.18.48.110) has been blocked for security reason. Probably your IP address has been used for violation of server security rules before.</p> <p>We have to make sure that this is not a malicious visit by an automated robot. Filling in the captcha is required to delist you IP address.</p> <p>Thank you.</p> <hr/> <pre> Remote address: 125.18.48.110 URI: / Agent: Mozilla/5.0 (X11; Linux i686; rv:6.0) Gecko/20100101 Firefox/6.0 </pre> </div> </div> </body>   </html> </body> <raw_headers>HTTP/1.1 200 OK Date: Tue, 07 Jun 2016 13:37:38 GMT Cache-Control: no-cache, no-store, must-revalidate Pragma: no-cache Expires: 0 Server: Apache/2.2.16 (Debian) Content-Length: 6557 Connection: close  </raw_headers> </response> <dom> <url>http://elearnix.org/</url> <transitions/> <data_flow_sinks/> <execution_flow_sinks/> </dom> </referring_page> <signature/> <proof>HTTP/1.1 403 Forbidden</proof> <trusted>true</trusted> <platform_type/> <platform_name/> </variation> </variations> </issue> </issues> <plugins> <healthmap> <name>Health map</name> <description>Generates a simple list of safe/unsafe URLs.</description> <results> <map> <with_issues>http://elearnix.org/</with_issues> <with_issues>http://elearnix.org/.adm</with_issues> <with_issues>http://elearnix.org/.admin</with_issues> <with_issues>http://elearnix.org/.git/HEAD</with_issues> <with_issues>http://elearnix.org/.svn/all-wcprops</with_issues> <with_issues>http://elearnix.org/verify.php</with_issues> </map> <total>6</total> <with_issues>6</with_issues> <without_issues>0</without_issues> <issue_percentage>100</issue_percentage> </results> </healthmap> </plugins> </report> """

61.009155

205

0.649459

53,602

319,871

3.843961

0.016604

0.0973

0.060686

0.079672

0.959261

0.957058

0.955641

0.95416

0.953369

0.952496

0

0.03275

0.158827

319,871

5,242

206

61.020794

0.733022

0

1

0.93187

0

0.360323

0.999931

0.335632

0

1

0

false

0.021329

0.000414

0

0.000414

0.000207

0

null

0

1

0

1

0

1

0

null

0

10

5b6b6d0bb9e5486784c1b9d1b773b7cb46c7828e

158

py

Python

ident/cdr/__init__.py

AlexShander/Grafana_Asterisk

1f8b20e2d3e6960c13d223baf9ce134fca402b1f

[ "Apache-2.0" ]

null

ident/cdr/__init__.py

AlexShander/Grafana_Asterisk

1f8b20e2d3e6960c13d223baf9ce134fca402b1f

[ "Apache-2.0" ]

null

ident/cdr/__init__.py

AlexShander/Grafana_Asterisk

1f8b20e2d3e6960c13d223baf9ce134fca402b1f

[ "Apache-2.0" ]

1

2021-04-22T05:47:13.000Z

from cdr.datasets import Cdr from cdr.tables import QueueLogForExcel from cdr.tables import CDRViewer from cdr.cdr import DBCdr from cdr.config import Config

26.333333

39

0.841772

25

158

5.32

0.36

0.263158

0.195489

0.285714

0

0.126582

158

5

40

31.6

0.963768

0

1

0

true

0

1

0

1

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0

1

0

null

0

1

0

1

0

7

5b9a06e2c0b90300fbf0ed03bad154464673086e

162

py

Python

Python/network/server_basic/cgi/test.py

sug5806/TIL

2309d8a270e4a7b8961268a40b6492c5db317e37

[ "MIT" ]

null

Python/network/server_basic/cgi/test.py

sug5806/TIL

2309d8a270e4a7b8961268a40b6492c5db317e37

[ "MIT" ]

102

2020-02-12T00:10:33.000Z

2022-03-11T23:58:41.000Z

Python/network/server_basic/cgi/test.py

sug5806/TIL

2309d8a270e4a7b8961268a40b6492c5db317e37

[ "MIT" ]

null

#! /home/martine/.pyenv/shims/python3 print("Contest-type: text/html\n") print("<html><head><title>CGI테스트</title></head></html><body>CGI Server Testing</body>")

32.4

87

0.703704

24

162

4.75

0.75

0

0.006494

0.049383

162

4

88

40.5

0.733766

0.222222

0

0.5

0.830645

0.451613

0

1

0

true

0

1

0

null

0

1

0

1

null

0

1

0

1

0

7

5b9e228664153a592cf7ae6000ed9a2e4046f21d

3,738

py

Python

tests/Unit/Evolution/Systems/Cce/Actions/ScriObserveInterpolated.py

nilsvu/spectre

1455b9a8d7e92db8ad600c66f54795c29c3052ee

[ "MIT" ]

117

2017-04-08T22:52:48.000Z

2022-03-25T07:23:36.000Z

tests/Unit/Evolution/Systems/Cce/Actions/ScriObserveInterpolated.py

GitHimanshuc/spectre

4de4033ba36547113293fe4dbdd77591485a4aee

[ "MIT" ]

3,177

2017-04-07T21:10:18.000Z

2022-03-31T23:55:59.000Z

tests/Unit/Evolution/Systems/Cce/Actions/ScriObserveInterpolated.py

geoffrey4444/spectre

9350d61830b360e2d5b273fdd176dcc841dbefb0

[ "MIT" ]

85

2017-04-07T19:36:13.000Z

2022-03-01T10:21:00.000Z

# Distributed under the MIT License. # See LICENSE.txt for details. import numpy as np def compute_News(linear_coefficient, quadratic_coefficient, time, news_coefficient, _1, _2, _3, _4, _5, _6): return news_coefficient * (1.0 + linear_coefficient * time + quadratic_coefficient * time**2) def compute_EthInertialRetardedTime(linear_coefficient, quadratic_coefficient, time, _1, _2, _3, _4, _5, _6, eth_u_coefficient): return eth_u_coefficient * (1.0 + linear_coefficient * time + quadratic_coefficient * time**2) def compute_Du_TimeIntegral_ScriPlus_Psi4(linear_coefficient, quadratic_coefficient, time, _1, _2, _3, _4, _5, psi4_coefficient, _6): return psi4_coefficient * (linear_coefficient + 2.0 * quadratic_coefficient * time) def compute_ScriPlus_Psi3(linear_coefficient, quadratic_coefficient, time, _1, psi3_coefficient, _2, _3, _4, psi4_coefficient, eth_u_coefficient): time_factor = (1.0 + linear_coefficient * time + quadratic_coefficient * time**2) psi4 = psi4_coefficient * (linear_coefficient + 2.0 * quadratic_coefficient * time) psi3 = psi3_coefficient * time_factor eth_u = eth_u_coefficient * time_factor return psi3 + 0.5 * eth_u * psi4 def compute_ScriPlus_Psi2(linear_coefficient, quadratic_coefficient, time, _1, psi3_coefficient, psi2_coefficient, _2, _3, psi4_coefficient, eth_u_coefficient): time_factor = (1.0 + linear_coefficient * time + quadratic_coefficient * time**2) psi4 = psi4_coefficient * (linear_coefficient + 2.0 * quadratic_coefficient * time) psi3 = psi3_coefficient * time_factor psi2 = psi2_coefficient * time_factor eth_u = eth_u_coefficient * time_factor return psi2 + psi3 * eth_u + 0.25 * psi4 * eth_u**2 def compute_ScriPlus_Psi1(linear_coefficient, quadratic_coefficient, time, _1, psi3_coefficient, psi2_coefficient, psi1_coefficient, _2, psi4_coefficient, eth_u_coefficient): time_factor = (1.0 + linear_coefficient * time + quadratic_coefficient * time**2) psi4 = psi4_coefficient * (linear_coefficient + 2.0 * quadratic_coefficient * time) psi3 = psi3_coefficient * time_factor psi2 = psi2_coefficient * time_factor psi1 = psi1_coefficient * time_factor eth_u = eth_u_coefficient * time_factor return psi1 + 1.5 * psi2 * eth_u + 0.75 * psi3 * eth_u**2 \ + 0.125 * psi4 * eth_u**3 def compute_ScriPlus_Psi0(linear_coefficient, quadratic_coefficient, time, _1, psi3_coefficient, psi2_coefficient, psi1_coefficient, psi0_coefficient, psi4_coefficient, eth_u_coefficient): time_factor = (1.0 + linear_coefficient * time + quadratic_coefficient * time**2) psi4 = psi4_coefficient * (linear_coefficient + 2.0 * quadratic_coefficient * time) psi3 = psi3_coefficient * time_factor psi2 = psi2_coefficient * time_factor psi1 = psi1_coefficient * time_factor psi0 = psi0_coefficient * time_factor eth_u = eth_u_coefficient * time_factor return psi0 + 2.0 * psi1 * eth_u + 0.75 * psi2 * eth_u**2 \ + 0.5 * psi3 * eth_u**3 + 0.0625 * psi4 * eth_u**4

45.585366

79

0.607277

411

3,738

5.128954

0.107056

0.298861

0.204934

0.072106

0.787951

0.768501

0.76518

0.73814

0.710626

0

0.059496

0.321027

3,738

81

80

46.148148

0.77108

0.016854

0

0.578125

0

1

0.109375

false

0

0.015625

0.046875

0.234375

0

null

1

0

1

0

null

0

7

5bcf68e7f214d8ca992b689129451da448ba26de

14,237

py

Python

spec/clean/matrix_builder_spec.py

slavad/py-series-clean

2a7cbd0cec1a46374e49eae79e6a88afb31ca54a

[ "MIT" ]

null

spec/clean/matrix_builder_spec.py

slavad/py-series-clean

2a7cbd0cec1a46374e49eae79e6a88afb31ca54a

[ "MIT" ]

null

spec/clean/matrix_builder_spec.py

slavad/py-series-clean

2a7cbd0cec1a46374e49eae79e6a88afb31ca54a

[ "MIT" ]

null

from spec.spec_helper import * import clean.matrix_builder as mb with description(mb) as self: with shared_context('compare actual and expected with precision'): with it('returns correct vector'): expect( self.actual_result ).to( equal_ndarray(self.expected_result, self.round_precision) ) with it('does not contain zeroes'): expect(self.actual_result).to(contain_non_zero_vals(self.round_precision)) with before.all: self.round_precision = 7 with description('#generate_index_vector'): with description('argument is odd'): with before.all: self.vector_size = 5 self.expected_vector = np.array( [-2, -1, 0, 1, 2] ).reshape((-1, 1)) with it('generates correct vector'): expect( mb.generate_index_vector(self.vector_size) ).to(equal_ndarray(self.expected_vector)) with description('argument is event'): with before.all: self.vector_size = 4 with it('raises error'): expect( lambda: mb.generate_index_vector(self.vector_size) ).to(raise_error(ValueError, "matrix_size must be odd")) with description('#run_ft'): with shared_context('run_ft results checker'): with before.all: self.time_grid = np.array( [0.0, 0.5, 0.6, 0.9, 2.0] ).reshape((-1, 1)) self.number_of_freq_estimations = 2 self.freq_vector = np.array( [-2.0,0.0,2.0] ).reshape((-1, 1)) with before.each: #it's ok to round here, since the results are not exactly the same self.expected_result = self.expected_result*self.norm self.actual_result = mb.run_ft( self.time_grid, self.values, self.freq_vector, self.number_of_freq_estimations, self.kind ) with included_context('compare actual and expected with precision'): pass with description('kind == "direct"'): with before.each: self.kind = 'direct' self.coeff = -1j*2*np.pi self.norm = 1.0/self.time_grid.shape[0] self.values = np.array( [ -1.0 + 0.1j, 0.9 - 1.4j, -4.5 + 1.1j, 1.1 - 2.0j, 0.2 + 1.6j ] ).reshape((-1, 1)) self.expected_result = np.array( # see e.g. eq 148 ref 2 [ np.sum( np.exp( self.coeff*self.freq_vector[0][0]*self.time_grid )*self.values ), np.sum( np.exp( self.coeff*self.freq_vector[1][0]*self.time_grid )*self.values ), np.sum( np.exp( self.coeff*self.freq_vector[2][0]*self.time_grid )*self.values ) ] ).reshape((-1, 1)) with included_context('run_ft results checker'): pass with description('kind == "inverse"'): with before.each: self.kind = 'inverse' self.coeff = 1j*2*np.pi self.values = np.array( [ -1.0 + 0.1j, 0.9 - 1.4j, -4.5 + 1.1j ] ).reshape((-1, 1)) self.norm = self.time_grid.shape[0]/self.number_of_freq_estimations self.expected_result = np.array( # see e.g. eq 161 ref 2 [ np.sum( np.exp( self.coeff*self.time_grid[0][0]*self.freq_vector )*self.values ), np.sum( np.exp( self.coeff*self.time_grid[1][0]*self.freq_vector )*self.values ), np.sum( np.exp( self.coeff*self.time_grid[2][0]*self.freq_vector )*self.values ), np.sum( np.exp( self.coeff*self.time_grid[3][0]*self.freq_vector )*self.values ), np.sum( np.exp( self.coeff*self.time_grid[4][0]*self.freq_vector )*self.values ) ] ).reshape((-1, 1)) with included_context('run_ft results checker'): pass with description('kind == "qwerty"'): with before.each: self.time_grid = None self.values = None self.number_of_freq_estimations = None self.freq_vector = None self.kind = 'qwerty' self.coeff = None self.norm = None self.action = lambda: mb.run_ft( self.time_grid, self.values, self.freq_vector, self.number_of_freq_estimations, self.kind ) with it('raises error'): expect( self.action ).to(raise_error(ValueError, "unknown kind")) with description('#generate_freq_vector'): with before.all: self.index_vector = np.array([-1.0, 0.0, 1.0]) self.max_freq = 2.0 self.number_of_freq_estimations = 3 self.expected_result = self.index_vector*self.max_freq/self.number_of_freq_estimations with it('generates correct value'): expect( self.expected_result ).to( equal_ndarray( mb.generate_freq_vector( self.index_vector, self.max_freq, self.number_of_freq_estimations ) ) ) with description('#size_of_spectrum_vector'): with before.all: self.number_of_freq_estimations = 3 self.expected_result = 2*self.number_of_freq_estimations + 1 with it('returns correct value'): expect(self.expected_result).to( equal(mb.size_of_spectrum_vector(self.number_of_freq_estimations)) ) with description('#size_of_window_vector'): with before.all: self.number_of_freq_estimations = 3 self.expected_result = 4*self.number_of_freq_estimations + 1 with it('returns correct value'): expect(self.expected_result).to( equal(mb.size_of_window_vector(self.number_of_freq_estimations)) ) with description('vector generators'): with before.all: self.time_grid = np.array( [0.0, 0.5, 0.6, 0.9, 2.0] ).reshape((-1, 1)) self.max_freq = 2 self.number_of_freq_estimations = 3 self.coeff = -1j*2*np.pi self.norm = 1.0/self.time_grid.shape[0] with description('#calculate_dirty_vector'): with before.each: self.values = np.array( [-1.0, 0.9, -4.5, 1.1, 0.2] ).reshape((-1, 1)) self.index_vector = mb.generate_index_vector( mb.size_of_spectrum_vector(self.number_of_freq_estimations) ) self.freq_vector = mb.generate_freq_vector( self.index_vector, self.max_freq, self.number_of_freq_estimations ) self.expected_result = np.array( [ np.sum( np.exp( self.coeff*self.freq_vector[0][0]*self.time_grid )*self.values ), np.sum( np.exp( self.coeff*self.freq_vector[1][0]*self.time_grid )*self.values ), np.sum( np.exp( self.coeff*self.freq_vector[2][0]*self.time_grid )*self.values ), np.sum( np.exp( self.coeff*self.freq_vector[3][0]*self.time_grid )*self.values ), np.sum( np.exp( self.coeff*self.freq_vector[4][0]*self.time_grid )*self.values ), np.sum( np.exp( self.coeff*self.freq_vector[5][0]*self.time_grid )*self.values ), np.sum( np.exp( self.coeff*self.freq_vector[6][0]*self.time_grid )*self.values ) ] ).reshape((-1, 1))*self.norm self.actual_result = mb.calculate_dirty_vector( self.time_grid, self.values, self.number_of_freq_estimations, self.max_freq ) with included_context('compare actual and expected with precision'): pass with description('#calculate_window_vector'): with before.each: self.values = np.array( [-1.0, 0.9, -4.5, 1.1, 0.2] ).reshape((-1, 1)) self.index_vector = mb.generate_index_vector( mb.size_of_window_vector(self.number_of_freq_estimations) ) self.freq_vector = mb.generate_freq_vector( self.index_vector, self.max_freq, self.number_of_freq_estimations ) self.expected_result = np.array( [ np.sum( np.exp( self.coeff*self.freq_vector[0][0]*self.time_grid ) ), np.sum( np.exp( self.coeff*self.freq_vector[1][0]*self.time_grid ) ), np.sum( np.exp( self.coeff*self.freq_vector[2][0]*self.time_grid ) ), np.sum( np.exp( self.coeff*self.freq_vector[3][0]*self.time_grid ) ), np.sum( np.exp( self.coeff*self.freq_vector[4][0]*self.time_grid ) ), np.sum( np.exp( self.coeff*self.freq_vector[5][0]*self.time_grid ) ), np.sum( np.exp( self.coeff*self.freq_vector[6][0]*self.time_grid ) ), np.sum( np.exp( self.coeff*self.freq_vector[7][0]*self.time_grid ) ), np.sum( np.exp( self.coeff*self.freq_vector[8][0]*self.time_grid ) ), np.sum( np.exp( self.coeff*self.freq_vector[9][0]*self.time_grid ) ), np.sum( np.exp( self.coeff*self.freq_vector[10][0]*self.time_grid ) ), np.sum( np.exp( self.coeff*self.freq_vector[11][0]*self.time_grid ) ), np.sum( np.exp( self.coeff*self.freq_vector[12][0]*self.time_grid ) ) ] ).reshape((-1, 1))*self.norm self.actual_result = mb.calculate_window_vector( self.time_grid, self.number_of_freq_estimations, self.max_freq ) with included_context('compare actual and expected with precision'): pass

39.768156

98

0.389267

1,304

14,237

4.062117

0.093558

0.057391

0.086086

0.05286

0.819143

0.745894

0.71701

0.700396

0.675477

0.643005

0

0.03066

0.523495

14,237

357

99

39.879552

0.750147

0.007656

0

0.620178

0

0.048637

0.009628

0

1

0

true

0.014837

0.005935

0

0.005935

0

null

0

1

0

1

0

1

0

null

0

1

0

7

5bea04484f24bb5bb1f85e6a4f3e579017d0c734

26,747

py

Python

xrdsst/api/tokens_api.py

nordic-institute/X-Road-Security-Server-toolkit

1538dbf3d76647f4fb3a72bbe93bf54f414ee9fb

[ "MIT" ]

7

2020-11-01T19:50:11.000Z

2022-01-18T17:45:19.000Z

xrdsst/api/tokens_api.py

nordic-institute/X-Road-Security-Server-toolkit

1538dbf3d76647f4fb3a72bbe93bf54f414ee9fb

[ "MIT" ]

24

2020-11-09T08:09:10.000Z

2021-06-16T07:22:14.000Z

xrdsst/api/tokens_api.py

nordic-institute/X-Road-Security-Server-toolkit

1538dbf3d76647f4fb3a72bbe93bf54f414ee9fb

[ "MIT" ]

1

2021-04-27T14:39:48.000Z

# coding: utf-8 """ X-Road Security Server Admin API X-Road Security Server Admin API. Note that the error metadata responses described in some endpoints are subjects to change and may be updated in upcoming versions. # noqa: E501 OpenAPI spec version: 1.0.31 Contact: info@niis.org Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from xrdsst.api_client.api_client import ApiClient class TokensApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def add_key(self, id, **kwargs): # noqa: E501 """add new key # noqa: E501 <h3>Adds key for selected token.</h3> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.add_key(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: id of the token (required) :param KeyLabel body: :return: Key If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.add_key_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.add_key_with_http_info(id, **kwargs) # noqa: E501 return data def add_key_with_http_info(self, id, **kwargs): # noqa: E501 """add new key # noqa: E501 <h3>Adds key for selected token.</h3> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.add_key_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: id of the token (required) :param KeyLabel body: :return: Key If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method add_key" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `add_key`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth'] # noqa: E501 return self.api_client.call_api( '/tokens/{id}/keys', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Key', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def add_key_and_csr(self, id, **kwargs): # noqa: E501 """add a new key and generate a csr for it # noqa: E501 <h3>Administrator adds a new key and generates a csr for it.</h3> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.add_key_and_csr(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: id of the token (required) :param KeyLabelWithCsrGenerate body: :return: KeyWithCertificateSigningRequestId If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.add_key_and_csr_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.add_key_and_csr_with_http_info(id, **kwargs) # noqa: E501 return data def add_key_and_csr_with_http_info(self, id, **kwargs): # noqa: E501 """add a new key and generate a csr for it # noqa: E501 <h3>Administrator adds a new key and generates a csr for it.</h3> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.add_key_and_csr_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: id of the token (required) :param KeyLabelWithCsrGenerate body: :return: KeyWithCertificateSigningRequestId If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method add_key_and_csr" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `add_key_and_csr`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth'] # noqa: E501 return self.api_client.call_api( '/tokens/{id}/keys-with-csrs', 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='KeyWithCertificateSigningRequestId', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_token(self, id, **kwargs): # noqa: E501 """get security server token information # noqa: E501 <h3>Administrator views the token details of the security server.</h3> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_token(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: id of the token (required) :return: Token If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_token_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.get_token_with_http_info(id, **kwargs) # noqa: E501 return data def get_token_with_http_info(self, id, **kwargs): # noqa: E501 """get security server token information # noqa: E501 <h3>Administrator views the token details of the security server.</h3> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_token_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: id of the token (required) :return: Token If the method is called asynchronously, returns the request thread. """ all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_token" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `get_token`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth'] # noqa: E501 return self.api_client.call_api( '/tokens/{id}', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Token', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_tokens(self, **kwargs): # noqa: E501 """get security server tokens # noqa: E501 <h3>Administrator views tokens of the security server.</h3> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_tokens(async_req=True) >>> result = thread.get() :param async_req bool :return: list[Token] If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.get_tokens_with_http_info(**kwargs) # noqa: E501 else: (data) = self.get_tokens_with_http_info(**kwargs) # noqa: E501 return data def get_tokens_with_http_info(self, **kwargs): # noqa: E501 """get security server tokens # noqa: E501 <h3>Administrator views tokens of the security server.</h3> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.get_tokens_with_http_info(async_req=True) >>> result = thread.get() :param async_req bool :return: list[Token] If the method is called asynchronously, returns the request thread. """ all_params = [] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_tokens" % key ) params[key] = val del params['kwargs'] collection_formats = {} path_params = {} query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth'] # noqa: E501 return self.api_client.call_api( '/tokens', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='list[Token]', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def login_token(self, id, **kwargs): # noqa: E501 """login to token # noqa: E501 <h3>Administrator logs in to a token</h3> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.login_token(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: id of the token (required) :param TokenPassword body: :return: Token If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.login_token_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.login_token_with_http_info(id, **kwargs) # noqa: E501 return data def login_token_with_http_info(self, id, **kwargs): # noqa: E501 """login to token # noqa: E501 <h3>Administrator logs in to a token</h3> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.login_token_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: id of the token (required) :param TokenPassword body: :return: Token If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method login_token" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `login_token`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth'] # noqa: E501 return self.api_client.call_api( '/tokens/{id}/login', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Token', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def logout_token(self, id, **kwargs): # noqa: E501 """logout from token # noqa: E501 <h3>Administrator logs out from token.</h3> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.logout_token(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: id of the token (required) :return: Token If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.logout_token_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.logout_token_with_http_info(id, **kwargs) # noqa: E501 return data def logout_token_with_http_info(self, id, **kwargs): # noqa: E501 """logout from token # noqa: E501 <h3>Administrator logs out from token.</h3> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.logout_token_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: id of the token (required) :return: Token If the method is called asynchronously, returns the request thread. """ all_params = ['id'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method logout_token" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `logout_token`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth'] # noqa: E501 return self.api_client.call_api( '/tokens/{id}/logout', 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Token', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def update_token(self, id, **kwargs): # noqa: E501 """update security server token information # noqa: E501 <h3>Administrator updates the token information.</h3> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_token(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: id of the token (required) :param TokenName body: :return: Token If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async_req'): return self.update_token_with_http_info(id, **kwargs) # noqa: E501 else: (data) = self.update_token_with_http_info(id, **kwargs) # noqa: E501 return data def update_token_with_http_info(self, id, **kwargs): # noqa: E501 """update security server token information # noqa: E501 <h3>Administrator updates the token information.</h3> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async_req=True >>> thread = api.update_token_with_http_info(id, async_req=True) >>> result = thread.get() :param async_req bool :param str id: id of the token (required) :param TokenName body: :return: Token If the method is called asynchronously, returns the request thread. """ all_params = ['id', 'body'] # noqa: E501 all_params.append('async_req') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method update_token" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'id' is set if ('id' not in params or params['id'] is None): raise ValueError("Missing the required parameter `id` when calling `update_token`") # noqa: E501 collection_formats = {} path_params = {} if 'id' in params: path_params['id'] = params['id'] # noqa: E501 query_params = [] header_params = {} form_params = [] local_var_files = {} body_params = None if 'body' in params: body_params = params['body'] # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = ['ApiKeyAuth'] # noqa: E501 return self.api_client.call_api( '/tokens/{id}', 'PATCH', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='Token', # noqa: E501 auth_settings=auth_settings, async_req=params.get('async_req'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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f3a2b17394a7a897bc7782000f153877145e6441

44,467

py

Python

core/models.py

EzekielCarvalho/costas_commerce_store

d7f00ffd5d5c7bbd0c1dcec9adaa4ddd70d19ea8

[ "MIT" ]

null

core/models.py

EzekielCarvalho/costas_commerce_store

d7f00ffd5d5c7bbd0c1dcec9adaa4ddd70d19ea8

[ "MIT" ]

null

core/models.py

EzekielCarvalho/costas_commerce_store

d7f00ffd5d5c7bbd0c1dcec9adaa4ddd70d19ea8

[ "MIT" ]

null

# Notes: A model is the single, definitive source of information about your data. It contains the essential fields and behaviors of the data you’re storing. Generally, each model maps to a single database table. # ref https://docs.djangoproject.com/en/3.2/topics/db/models/ from django.db.models.signals import post_save from django.conf import settings #This is necessary since we want to make use of our auth user model. This is from Django settings. This isn’t a module – it’s an object. So importing individual settings is not possible. This extracts or sucks (abstracts) the concepts of default settings and site-specific settings; it presents a single interface. It also separates (decouples) the code that uses settings from the location of your settings. (ref: https://docs.djangoproject.com/en/2.2/topics/settings/#using-settings-in-python-code) from django.db import models from cloudinary.models import CloudinaryField from django.db.models import Sum from django.urls import reverse from django_countries.fields import CountryField from django.db.utils import OperationalError, ProgrammingError # CATEGORY_CHOICES = ( # This is a tuple (Python tuples are a data structure that store an ordered sequence of values. Tuples are immutable. This means you cannot change the values in a tuple. Tuples are defined with parenthesis.) # ('C', 'Compact'), # First entry goes to the database, secnd entry is displayed on the page. # ('BR', 'Bridge'), # These are for choices below which are A sequence consisting itself of iterables of exactly two items (e.g. [(A, B), (A, B) ...]) to use as choices for this field. If choices are given, they’re enforced by model validation and the default form widget will be a select box with these choices instead of the standard text field. (Ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#choices)) # ('DR', 'DSLR'), # ('MR', 'Mirrorless cameras') # ) LABEL_CHOICES = ( # This is a tuple (Python tuples are a data structure that store an ordered sequence of values. Tuples are immutable. This means you cannot change the values in a tuple. Tuples are defined with parenthesis.) ('P', 'primary'), # First entry goes to the database, secnd entry is displayed on the page. ('W', 'warning'), # These are for choices below which are A sequence consisting itself of iterables of exactly two items (e.g. [(A, B), (A, B) ...]) to use as choices for this field. If choices are given, they’re enforced by model validation and the default form widget will be a select box with these choices instead of the standard text field. (Ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#choices)) ('D', 'danger') ) ADDRESS_CHOICES = ( # This is a tuple (Python tuples are a data structure that store an ordered sequence of values. Tuples are immutable. This means you cannot change the values in a tuple. Tuples are defined with parenthesis.) ('B', 'Billing'), # First entry goes to the database, secnd entry is displayed on the page. ('S', 'Shipping'), # These are for choices below which are A sequence consisting itself of iterables of exactly two items (e.g. [(A, B), (A, B) ...]) to use as choices for this field. If choices are given, they’re enforced by model validation and the default form widget will be a select box with these choices instead of the standard text field. (Ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#choices)) ) class Category(models.Model): # This is the way of connecting the user with his/ her credit card details name = models.CharField(max_length=255) # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) def __str__(self): # in every model you should define the standard Python class method __str__() to return a human-readable string for each object. This string is used to represent individual records in the administration site (and anywhere else you need to refer to a model instance). Often this will return a title or name field from the model. (ref: https://developer.mozilla.org/en-US/docs/Learn/Server-side/Django/Models) return self.name def get_absolute_url(self): # Define a get_absolute_url() method to tell Django how to calculate the canonical (absolute, recognized) URL for an object. The reverse() function is usually the best approach to be used with get_absolute. One place Django uses get_absolute_url() is in the admin app. If it makes sense for your model’s instances to each have a unique URL, you should define get_absolute_url(). It’s good practice to use get_absolute_url() in templates, instead of hard-coding your objects’ URLs. The logic here is that if you change the URL structure of your objects, even for something small like correcting a spelling error, you don’t want to have to track down every place that the URL might be created. Specify it once, in get_absolute_url() and have all your other code call that one place. return reverse('core:home-page') # "SLUG" from line 26 models.py. "self.slug" is as per the format. "core" from urls.py from line 11 and product-page from line 18. The reverse() function can reverse a large variety of regular expression patterns for URLs, but not every possible one. kwargs allows you to handle named arguments that you have not defined in advance. ref to for format: https://docs.djangoproject.com/en/3.2/ref/models/instances/#get-absolute-url try: CHOICES = Category.objects.all().values_list('name','name') # This is going to grab all the entries made via admin to the Category model CATEGORY_CHOICES = [] # creates a dictionary for item in CHOICES: # For each item that is present in the CHOICES results, append or add each of them to the CATEGORY_CHOICES dictionary. CATEGORY_CHOICES.append(item) except (OperationalError, ProgrammingError): # This is to avoid Programming errors from arising while deploying onto a new domain and host. This has been used to avoid errors pass class UserProfile(models.Model): # This is the way of connecting the user with his/ her credit card details user = models.OneToOneField(settings.AUTH_USER_MODEL, on_delete=models.CASCADE) # We chose one to one field because each credit card info is associated with one user at a time rather than one card for many people, which would not be good. A one-to-one relationship. Conceptually, this is similar to a ForeignKey with unique=True, but the “reverse” side of the relation will directly return a single object. ref https://docs.djangoproject.com/en/3.2/ref/models/fields/#django.db.models.OneToOneField # ref https://thetldr.tech/what-is-the-difference-between-blank-and-null-in-django/ . null=True would tell the underlying database that this field is allowed to save null. blank=True is applicable in the Django forms layer, i.e. any user is allowed to keep empty this field in Django form or Admin page. blank value is stored in the database.For the price.) # This is to associate the order with the user. Note: ForeignKey is a Django ORM (object relational mapping) field-to-column mapping for creating and working with relationships between tables in relational databases. Django has a powerful, built-in user authentication system that makes it quick and easy to add login, logout, and signup functionality to a website. The AUTH_USER_MODEL is a recommended approach for referencing a user in a models.py file (ref: https://learndjango.com/tutorials/django-best-practices-referencing-user-model). # for the cascade feature, The on_delete method is used to tell Django what to do with model instances (examples, cases) that depend on the model instance you delete. (e.g. a ForeignKey relationship). The on_delete=models. CASCADE tells Django to cascade (pour, flood) the deleting effect i.e. continue deleting the dependent models as well. (Ref https://stackoverflow.com/questions/38388423/what-does-on-delete-do-on-django-models) stripe_customer_id = models.CharField(max_length=50, blank=True, null=True) # The stripe customer id will get populated when if the user decides to save their customer informationw when they checkout i.e. if they click on the checkbox to save for future purchases in the payment page # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: as CharField(max_length=None, **options)) one_click_purchasing = models.BooleanField(default=False) # A true/false field. ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#booleanfield def __str__(self): # in every model you should define the standard Python class method __str__() to return a human-readable string for each object. This string is used to represent individual records in the administration site (and anywhere else you need to refer to a model instance). Often this will return a title or name field from the model. (ref: https://developer.mozilla.org/en-US/docs/Learn/Server-side/Django/Models) return self.user.username # returns the username as the string representation class Item(models.Model): # This is going to be displayed in the site on the page where the products are displayed for users to purchase. Once it is added to the cart, it becomes an "OrderItem" (next class) try: title = models.CharField(max_length=100) # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) price = models.FloatField(blank=True, null=True) # For the price. The FloatField class is sometimes mixed up with the DecimalField class. Although they both represent real numbers, they represent those numbers differently. FloatField uses Python’s float type internally, while DecimalField uses Python’s Decimal type. A floating-point number represented in Python by a float instance. ref https://docs.djangoproject.com/en/3.2/ref/models/fields/#django.db.models.FloatField discount_price = models.FloatField(blank=True, null=True) # ref https://thetldr.tech/what-is-the-difference-between-blank-and-null-in-django/ . null=True would tell the underlying database that this field is allowed to save null. blank=True is applicable in the Django forms layer, i.e. any user is allowed to keep empty this field in Django form or Admin page. blank value is stored in the database.For the price. The FloatField class is sometimes mixed up with the DecimalField class. Although they both represent real numbers, they represent those numbers differently. FloatField uses Python’s float type internally, while DecimalField uses Python’s Decimal type. A floating-point number represented in Python by a float instance. ref https://docs.djangoproject.com/en/3.2/ref/models/fields/#django.db.models.FloatField category = models.CharField(choices=CATEGORY_CHOICES, max_length=255, default='uncategorized') # Choices are A sequence consisting itself of iterables of exactly two items (e.g. [(A, B), (A, B) ...]) to use as choices for this field. If choices are given, they’re enforced by model validation and the default form widget will be a select box with these choices instead of the standard text field. (Ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#choices) label = models.CharField(choices=LABEL_CHOICES, max_length=1) slug = models.SlugField() # A Slug is basically a short label for something, containing only letters, numbers, underscores or hyphens. They’re generally used in URLs. SlugField in Django is like a CharField, where you can specify max_length attribute also. If max_length is not specified, Django will use a default length of 50. It also implies setting Field.db_index to True.It is often useful to automatically prepopulate a SlugField based on the value of some other value.It uses validate_slug or validate_unicode_slug for validation. ref: https://www.geeksforgeeks.org/slugfield-django-models/ description = models.CharField(max_length=5000) # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) additional_description = models.CharField(max_length=10000) # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) image = CloudinaryField('image') # For uploading images to cloudinary instead of using Heroku to host images, which is a bad idea. def __str__(self): # in every model you should define the standard Python class method __str__() to return a human-readable string for each object. This string is used to represent individual records in the administration site (and anywhere else you need to refer to a model instance). Often this will return a title or name field from the model. (ref: https://developer.mozilla.org/en-US/docs/Learn/Server-side/Django/Models) return self.title def get_absolute_url(self): # Define a get_absolute_url() method to tell Django how to calculate the canonical (absolute, recognized) URL for an object. The reverse() function is usually the best approach to be used with get_absolute. One place Django uses get_absolute_url() is in the admin app. If it makes sense for your model’s instances to each have a unique URL, you should define get_absolute_url(). It’s good practice to use get_absolute_url() in templates, instead of hard-coding your objects’ URLs. The logic here is that if you change the URL structure of your objects, even for something small like correcting a spelling error, you don’t want to have to track down every place that the URL might be created. Specify it once, in get_absolute_url() and have all your other code call that one place. return reverse('core:product-page', kwargs={'slug': self.slug}) # "SLUG" from line 26 models.py. "self.slug" is as per the format. "core" from urls.py from line 11 and product-page from line 18. The reverse() function can reverse a large variety of regular expression patterns for URLs, but not every possible one. kwargs allows you to handle named arguments that you have not defined in advance. ref to for format: https://docs.djangoproject.com/en/3.2/ref/models/instances/#get-absolute-url def get_addition_to_cart_url(self): # This function was created mainly because to help with the add to cart feature return reverse('core:add-to-cart', kwargs={'slug': self.slug}) # "SLUG" from line 26 models.py. "self.slug" is as per the format. "core" from urls.py from line 11 and add-to-cart is from line 20. The reverse() function can reverse a large variety of regular expression patterns for URLs, but not every possible one. kwargs allows you to handle named arguments that you have not defined in advance. ref to for format: https://docs.djangoproject.com/en/3.2/ref/models/instances/#get-absolute-url def get_remove_item_from_cart(self): # This function was created mainly because to help with the add to cart feature return reverse('core:remove-from-cart', kwargs={'slug': self.slug}) # "SLUG" from line 26 models.py. "self.slug" is as per the format. "core" from urls.py from line 11 and add-to-cart is from line 20. The reverse() function can reverse a large variety of regular expression patterns for URLs, but not every possible one. kwargs allows you to handle named arguments that you have not defined in advance. ref to for format: https://docs.djangoproject.com/en/3.2/ref/models/instances/#get-absolute-url except (OperationalError, ProgrammingError): pass class OrderItem(models.Model): # This is the way of connecting the item with the shopping cart (Order) user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE) # ref https://thetldr.tech/what-is-the-difference-between-blank-and-null-in-django/ . null=True would tell the underlying database that this field is allowed to save null. blank=True is applicable in the Django forms layer, i.e. any user is allowed to keep empty this field in Django form or Admin page. blank value is stored in the database.For the price.) # This is to associate the order with the user. Note: ForeignKey is a Django ORM (object relational mapping) field-to-column mapping for creating and working with relationships between tables in relational databases. Django has a powerful, built-in user authentication system that makes it quick and easy to add login, logout, and signup functionality to a website. The AUTH_USER_MODEL is a recommended approach for referencing a user in a models.py file (ref: https://learndjango.com/tutorials/django-best-practices-referencing-user-model). # for the cascade feature, The on_delete method is used to tell Django what to do with model instances (examples, cases) that depend on the model instance you delete. (e.g. a ForeignKey relationship). The on_delete=models. CASCADE tells Django to cascade (pour, flood) the deleting effect i.e. continue deleting the dependent models as well. (Ref https://stackoverflow.com/questions/38388423/what-does-on-delete-do-on-django-models) ordered = models.BooleanField(default=False) # A true/false field. ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#booleanfield item = models.ForeignKey(Item, on_delete=models.CASCADE) # We connect the Item from the previous class to the OrderItem class. # for the cascade feature, The on_delete method is used to tell Django what to do with model instances (examples, cases) that depend on the model instance you delete. (e.g. a ForeignKey relationship). The on_delete=models. CASCADE tells Django to cascade (pour, flood) the deleting effect i.e. continue deleting the dependent models as well. (Ref https://docs.djangoproject.com/en/3.2/ref/models/fields/#django.db.models.ForeignKey) quantity = models.IntegerField(default=1) # IntegerField is a integer number represented in Python by a int instance. This field is generally used to store integer numbers in the database. The default form widget for this field is a NumberInput when localize is False or TextInput otherwise. ref https://www.geeksforgeeks.org/integerfield-django-models/ and https://docs.djangoproject.com/en/3.2/ref/models/fields/ def __str__(self): # in every model you should define the standard Python class method __str__() to return a human-readable string for each object. This string is used to represent individual records in the administration site (and anywhere else you need to refer to a model instance). Often this will return a title or name field from the model. (ref: https://developer.mozilla.org/en-US/docs/Learn/Server-side/Django/Models) return f"{self.quantity} of {self.item.title}" # quantity refers to quantity in OrderItem class of the self.item.title (which is of the OderItem class, which connects to the Item class which has title) def get_total_item_price(self): # This is a method (A function) made to calculate the price based on the quantity of items in the cart. It multiples the quantity with the price of the product. item is form the OrderedItem class and price is from the Item class return self.quantity * self.item.price def get_total_discount_item_price(self): return self.quantity * self.item.discount_price # This is a method (A function) made to calculate the discounted price based on the quantity of items in the cart. It multiples the quantity with the discounted price of the product def get_amount_saved(self): #This method calculates how much the person saves return self.get_total_item_price() - self.get_total_discount_item_price() # The total price minus the discounted price gives us how much you would save def get_final_amount(self): # This is a function made to get the final price, this is made so that we don't have to keep repeating the "inf there is a discounted price" logic as in line 49 order_summary html if self.item.discount_price: # If the discounted price exists return self.get_total_discount_item_price() # Show the discounted price return self.get_total_item_price() # Esle show the original unaltered price class Order(models.Model): # For the purpose of connecting all the order items to the order. The order is our shopping cart. user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE) # This is to associate the order with the user. Note: ForeignKey is a Django ORM (object relational mapping) field-to-column mapping for creating and working with relationships between tables in relational databases. Django has a powerful, built-in user authentication system that makes it quick and easy to add login, logout, and signup functionality to a website. The AUTH_USER_MODEL is a recommended approach for referencing a user in a models.py file (ref: https://learndjango.com/tutorials/django-best-practices-referencing-user-model). # for the cascade feature, The on_delete method is used to tell Django what to do with model instances (examples, cases) that depend on the model instance you delete. (e.g. a ForeignKey relationship). The on_delete=models. CASCADE tells Django to cascade (pour, flood) the deleting effect i.e. continue deleting the dependent models as well. (Ref https://stackoverflow.com/questions/38388423/what-does-on-delete-do-on-django-models) reference_code = models.CharField(max_length=20, blank=True, null=True) # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) items = models.ManyToManyField(OrderItem) # The example used in the Django docs is of a Group, Person, and Membership relationship. A group can have many people as members, and a person can be part of many groups, so the Group model has a ManyToManyField that points to Person . ref: https://docs.djangoproject.com/en/3.2/topics/db/examples/many_to_many/ https://docs.djangoproject.com/en/3.2/ref/models/fields/#django.db.models.ManyToManyField start_date = models.DateTimeField(auto_now_add=True) # Moment the order was created. A date and time, represented in Python by a datetime.datetime instance. ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#datetimefield ordered_date = models.DateTimeField() # A date and time, represented in Python by a datetime.datetime instance. ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#datetimefield . Nothing has been added in the field since we intend to manually set the value the moment it is ordered ordered = models.BooleanField(default=False) # A true/false field. ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#booleanfield billing_address = models.ForeignKey ( 'Address', related_name='billing_address', on_delete=models.SET_NULL, blank=True, null=True) # Because the Foreign Key is on the same model, we had to use "Related_name". The related_name attribute specifies the name of the reverse relation from the User model back to your model. If you don't specify a related_name, Django automatically creates one using the name of your model with the suffix _set, for instance User.map_set.all(). ref https://stackoverflow.com/questions/2642613/what-is-related-name-used-for shipping_address = models.ForeignKey ( 'Address', related_name='shipping_address', on_delete=models.SET_NULL, blank=True, null=True) # Because the Foreign Key is on the same model, we had to use "Related_name". The related_name attribute specifies the name of the reverse relation from the User model back to your model. If you don't specify a related_name, Django automatically creates one using the name of your model with the suffix _set, for instance User.map_set.all(). ref https://stackoverflow.com/questions/2642613/what-is-related-name-used-for payment = models.ForeignKey ( 'Payment', on_delete=models.SET_NULL, blank=True, null=True) coupon = models.ForeignKey ( 'Coupon', on_delete=models.SET_NULL, blank=True, null=True) being_delivered = models.BooleanField(default=False) # A true/false field. ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#booleanfield received = models.BooleanField(default=False) # A true/false field. ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#booleanfield refund_requested = models.BooleanField(default=False) # A true/false field. ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#booleanfield refund_granted = models.BooleanField(default=False) # A true/false field. ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#booleanfield # The process for our ecommerce site involves: # * adding an item to cart # * adding a billing address (possibilities of a failed checkout) # * paying (pre processing, processing, packaging, etc) # * item being delivered # * item received # * refunds # ForeignKey is A many-to-one relationship (in this case the billing address is one and the people who use it are many). Requires two positional arguments: the class to which the model is related and the on_delete option. # BillingAddress line 109 models.py and payment line 125, coupon is line 143 # To create a recursive relationship – an object that has a many-to-one relationship with itself – use models.ForeignKey('self', on_delete=models.CASCADE). # REF https://docs.djangoproject.com/en/3.2/ref/models/fields/#foreignkey # you can use null=True and on_delete=models.SET_NULL to implement a simple kind of soft deletion. # ref https://stackoverflow.com/questions/8609192/what-is-the-difference-between-null-true-and-blank-true-in-django # null=True would tell the underlying database that this field is allowed to save null. # blank=True is applicable in the Django forms layer, i.e. any user is allowed to keep empty this field in Django form or Admin page. blank value is stored in the database. # ref https://thetldr.tech/what-is-the-difference-between-blank-and-null-in-django/ def __str__(self): # in every model you should define the standard Python class method __str__() to return a human-readable string for each object. This string is used to represent individual records in the administration site (and anywhere else you need to refer to a model instance). Often this will return a title or name field from the model. (ref: https://developer.mozilla.org/en-US/docs/Learn/Server-side/Django/Models) return self.user.username # returns the username as the string representation def get_total(self): # This is a function made to get the total of all the items in the order total = 0 # total by default set to 0 for order_item in self.items.all(): # items is from the Order class above in models.py. For every order_item (randomly chosen name) in the items attribute in the Order class total += order_item.get_final_amount() # add total (which is = 0) to each order item getting the final amount from the OrderItem class, so you get the final price (same as total = total + order_item.get_final_price) if self.coupon: # If there is a coupon submitted from the user, then minus the amount of that coupon, from the total that we obtained from the previous step total -= self.coupon.amount # total = total - self.coupon.amount so the total has to be minused with the coupon's amount. "coupon" is definied some lines above as being connected ot the Coupon class below, which also has the "amount" attributed. This is the amount that the coupon is worth. This amount is minused with the total return total class Address (models.Model): # This is our billing address user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.CASCADE) # This is to associate the order with the user. Note: ForeignKey is a Django ORM (object relational mapping) field-to-column mapping for creating and working with relationships between tables in relational databases. Django has a powerful, built-in user authentication system that makes it quick and easy to add login, logout, and signup functionality to a website. The AUTH_USER_MODEL is a recommended approach for referencing a user in a models.py file (ref: https://learndjango.com/tutorials/django-best-practices-referencing-user-model). # for the cascade feature, The on_delete method is used to tell Django what to do with model instances (examples, cases) that depend on the model instance you delete. (e.g. a ForeignKey relationship). The on_delete=models. CASCADE tells Django to cascade (pour, flood) the deleting effect i.e. continue deleting the dependent models as well. (Ref https://stackoverflow.com/questions/38388423/what-does-on-delete-do-on-django-models) first_name = models.CharField(max_length=100) # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) last_name = models.CharField(max_length=100) # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) username = models.CharField(max_length=100) # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) street_address = models.CharField(max_length=100) # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) apartment_address = models.CharField(max_length=100) # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) country = CountryField(multiple=False) # From multi-choice ref https://github.com/SmileyChris/django-countries zip = models.CharField(max_length=100) # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) address_type = models.CharField(max_length=1, choices=ADDRESS_CHOICES) # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) Choices are A sequence consisting itself of iterables of exactly two items (e.g. [(A, B), (A, B) ...]) to use as choices for this field. If choices are given, they’re enforced by model validation and the default form widget will be a select box with these choices instead of the standard text field. (Ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#choices) default = models.BooleanField(default=False) # Everytime you tell to use an address as default, you will grab (Via other code) the address you created and set default to be true. A true/false field. ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#booleanfield def __str__(self): # in every model you should define the standard Python class method __str__() to return a human-readable string for each object. This string is used to represent individual records in the administration site (and anywhere else you need to refer to a model instance). Often this will return a title or name field from the model. (ref: https://developer.mozilla.org/en-US/docs/Learn/Server-side/Django/Models) return self.user.username # returns the username as the string representation class Meta: # Give your model metadata by using an inner class Meta ref https://docs.djangoproject.com/en/3.2/topics/db/models/#meta-options verbose_name_plural = 'Addresses' # A human-readable name for the object, singular. ref https://docs.djangoproject.com/en/3.2/ref/models/options/#verbose-name Model metadata is “anything that’s not a field”, such as ordering options (ordering), database table name (db_table), or human-readable singular and plural names (verbose_name and verbose_name_plural). None are required, and adding class Meta to a model is completely optional. # We need to keep track of the stripe payments. Right now thus far we've not been doing that, so we create the below class class Payment(models.Model): # This is to keep track of stripe payments stripe_charge_id = models.CharField(max_length=50) # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) user = models.ForeignKey(settings.AUTH_USER_MODEL, on_delete=models.SET_NULL, blank=True, null=True) # This is to associate the order with the user. Note: ForeignKey is a Django ORM (object relational mapping) field-to-column mapping for creating and working with relationships between tables in relational databases. Django has a powerful, built-in user authentication system that makes it quick and easy to add login, logout, and signup functionality to a website. The AUTH_USER_MODEL is a recommended approach for referencing a user in a models.py file (ref: https://learndjango.com/tutorials/django-best-practices-referencing-user-model). # ForeignKey is A many-to-one relationship (in this case the billing address is one and the people who use it are many). Requires two positional arguments: the class to which the model is related and the on_delete option. # This is to associate the order with the user. Note: ForeignKey is a Django ORM (object relational mapping) field-to-column mapping for creating and working with relationships between tables in relational databases. Django has a powerful, built-in user authentication system that makes it quick and easy to add login, logout, and signup functionality to a website. The AUTH_USER_MODEL is a recommended approach for referencing a user in a models.py file (ref: https://learndjango.com/tutorials/django-best-practices-referencing-user-model). # for the cascade feature, The on_delete method is used to tell Django what to do with model instances (examples, cases) that depend on the model instance you delete. (e.g. a ForeignKey relationship). The on_delete=models. CASCADE tells Django to cascade (pour, flood) the deleting effect i.e. continue deleting the dependent models as well. (Ref https://stackoverflow.com/questions/38388423/what-does-on-delete-do-on-django-models) # you can use null=True and on_delete=models.SET_NULL to implement a simple kind of soft deletion. # ref https://stackoverflow.com/questions/8609192/what-is-the-difference-between-null-true-and-blank-true-in-django # null=True would tell the underlying database that this field is allowed to save null. # blank=True is applicable in the Django forms layer, i.e. any user is allowed to keep empty this field in Django form or Admin page. blank value is stored in the database. # ref https://thetldr.tech/what-is-the-difference-between-blank-and-null-in-django/ amount = models.FloatField() # A floating-point number represented in Python by a float instance. ref https://docs.djangoproject.com/en/3.2/ref/models/fields/#django.db.models.FloatField timestamp = models.DateTimeField(auto_now_add=True) # A date and time, represented in Python by a datetime.datetime instance. Takes the same extra arguments as DateField. ref https://docs.djangoproject.com/en/3.2/ref/models/fields/#datetimefield def __str__(self): # in every model you should define the standard Python class method __str__() to return a human-readable string for each object. This string is used to represent individual records in the administration site (and anywhere else you need to refer to a model instance). Often this will return a title or name field from the model. (ref: https://developer.mozilla.org/en-US/docs/Learn/Server-side/Django/Models) return self.user.username # returns the username as the string representation class Coupon(models.Model): # This is for the coupon feature. A model is the single, definitive source of information about your data. It contains the essential fields and behaviors of the data you’re storing. Generally, each model maps to a single database table. ref https://docs.djangoproject.com/en/3.2/topics/db/models/ code = models.CharField(max_length=15) # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) amount = models.FloatField() # This is the mount of money worth for the coupon code. A floating-point number represented in Python by a float instance. ref https://docs.djangoproject.com/en/3.2/ref/models/fields/#django.db.models.FloatField def __str__(self): # in every model you should define the standard Python class method __str__() to return a human-readable string for each object. This string is used to represent individual records in the administration site (and anywhere else you need to refer to a model instance). Often this will return a title or name field from the model. (ref: https://developer.mozilla.org/en-US/docs/Learn/Server-side/Django/Models) return self.code # returns the code variable as the string representation class Refund(models.Model): # This is our refund class order = models.ForeignKey(Order, on_delete=models.CASCADE) # This is to associate the order with the Order class. Note: ForeignKey is a Django ORM (object relational mapping) field-to-column mapping for creating and working with relationships between tables in relational databases. Django has a powerful, built-in user authentication system that makes it quick and easy to add login, logout, and signup functionality to a website. The AUTH_USER_MODEL is a recommended approach for referencing a user in a models.py file (ref: https://learndjango.com/tutorials/django-best-practices-referencing-user-model). # for the cascade feature, The on_delete method is used to tell Django what to do with model instances (examples, cases) that depend on the model instance you delete. (e.g. a ForeignKey relationship). The on_delete=models. CASCADE tells Django to cascade (pour, flood) the deleting effect i.e. continue deleting the dependent models as well. (Ref https://stackoverflow.com/questions/38388423/what-does-on-delete-do-on-django-models) reason = models.TextField() # This is A string field, for small- to large-sized strings. (ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/) (syntax: ass CharField(max_length=None, **options)) accepted = models.BooleanField(default=False) # A true/false field. ref: https://docs.djangoproject.com/en/3.2/ref/models/fields/#booleanfield email = models.EmailField() # A CharField that checks that the value is a valid email address using EmailValidator. ref https://docs.djangoproject.com/en/3.2/ref/models/fields/#emailfield def __str__(self): # in every model you should define the standard Python class method __str__() to return a human-readable string for each object. This string is used to represent individual records in the administration site (and anywhere else you need to refer to a model instance). Often this will return a title or name field from the model. (ref: https://developer.mozilla.org/en-US/docs/Learn/Server-side/Django/Models) return f"{self.pk}" # this returns the primary key but it has to be in f strings because it's an ID not a string #Ideally, every time a user model instance is created, a corresponding user profile instance must be created as well. This is usually done using signals. ref https://www.oreilly.com/library/view/django-design-patterns/9781788831345/b2ecd556-abe5-47a1-8276-4e18da9402f5.xhtml # Signals are used to perform any action on modification of a model instance. The signals are utilities that help us to connect events with actions. We can develop a function that will run when a signal calls it. In other words, Signals are used to perform some action on modification/creation of a particular entry in Database. For example, One would want to create a profile instance, as soon as a new user instance is created in Database ref https://www.geeksforgeeks.org/how-to-create-and-use-signals-in-django/ # ref https://docs.djangoproject.com/en/3.2/ref/signals/#post-save def userprofile_receiver(sender, instance, created, *args, **kwargs): # mostly as per format if created: # as per format. If that user is created then proceed with the next line userprofile = UserProfile.objects.create(user=instance) # we use the post_save signal to create a user profile no sooner a user is created post_save.connect(userprofile_receiver, sender=settings.AUTH_USER_MODEL) # we specify the sender as the Auth user model. pre_save/post_save: This signal works before/after the method save(). ref https://www.geeksforgeeks.org/how-to-create-and-use-signals-in-django/ # So what is happening is when the UserProfile model is saved, a signal is fired called userprofile_receiver which creates a useerprofile receiver instance with a foreign key pointing to the instance of the user. # receiver – The function who receives the signal and does something. # sender – Sends the signal # created — Checks whether the model is created or not # instance — created model instance # **kwargs –wildcard keyword arguments

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tests/system/action/poll/test_vote.py

ostcar/openslides-backend

e6ceac497c37a1e3e7f408c6cfb29cf21d985b4c

[ "MIT" ]

null

tests/system/action/poll/test_vote.py

ostcar/openslides-backend

e6ceac497c37a1e3e7f408c6cfb29cf21d985b4c

[ "MIT" ]

19

2021-11-22T16:25:54.000Z

2021-11-25T13:38:13.000Z

tests/system/action/poll/test_vote.py

ostcar/openslides-backend

e6ceac497c37a1e3e7f408c6cfb29cf21d985b4c

[ "MIT" ]

null

import json from typing import Any, Dict import requests from openslides_backend.models.models import Poll from tests.system.action.base import BaseActionTestCase from tests.system.util import convert_to_test_response from tests.util import Response class BaseVoteTestCase(BaseActionTestCase): def request( self, action: str, data: Dict[str, Any], anonymous: bool = False, start_poll_before_vote: bool = True, stop_poll_after_vote: bool = True, ) -> Response: """Overwrite request method to reroute voting requests to the vote service.""" if action == "poll.vote": if start_poll_before_vote: self.vote_service.start(data["id"]) response = self.vote_service.vote(data) if stop_poll_after_vote: self.execute_action_internally("poll.stop", {"id": data["id"]}) return response else: return super().request(action, data, anonymous) def anonymous_vote(self, payload: Dict[str, Any], id: int = 1) -> Response: # make request manually to prevent sending of cookie & header payload_json = json.dumps(payload, separators=(",", ":")) response = requests.post( url=self.vote_service.url.replace("internal", "system") + f"?id={id}", data=payload_json, headers={ "Content-Type": "application/json", }, ) return convert_to_test_response(response) class PollVoteTest(BaseVoteTestCase): def setUp(self) -> None: super().setUp() self.create_model( "meeting/113", {"is_active_in_organization_id": 1}, ) def test_vote_correct_pollmethod_Y(self) -> None: user_id = self.create_user("test2") self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1, user_id]}, "option/11": {"meeting_id": 113, "poll_id": 1}, f"user/{user_id}": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], "vote_weight_$113": "2.000000", "vote_weight_$": ["113"], }, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, "poll/1": { "title": "my test poll", "option_ids": [11], "pollmethod": "Y", "meeting_id": 113, "entitled_group_ids": [1], "state": Poll.STATE_STARTED, "min_votes_amount": 1, "max_votes_amount": 10, }, "meeting/113": {"users_enable_vote_weight": True}, } ) response = self.request( "poll.vote", {"id": 1, "value": {"11": 1}}, stop_poll_after_vote=False ) self.assert_status_code(response, 200) self.login(user_id) response = self.request( "poll.vote", {"id": 1, "value": {"11": 1}}, start_poll_before_vote=False ) self.assert_status_code(response, 200) vote = self.get_model("vote/1") assert vote.get("value") == "Y" assert vote.get("option_id") == 11 assert vote.get("weight") == "1.000000" assert vote.get("meeting_id") == 113 assert vote.get("user_id") == 1 user = self.get_model("user/1") assert user.get("vote_$_ids") == ["113"] assert user.get("vote_$113_ids") == [1] vote = self.get_model("vote/2") assert vote.get("value") == "Y" assert vote.get("option_id") == 11 assert vote.get("weight") == "2.000000" assert vote.get("meeting_id") == 113 assert vote.get("user_id") == 2 option = self.get_model("option/11") assert option.get("vote_ids") == [1, 2] assert option.get("yes") == "3.000000" assert option.get("no") == "0.000000" assert option.get("abstain") == "0.000000" user = self.get_model("user/2") assert user.get("vote_$_ids") == ["113"] assert user.get("vote_$113_ids") == [2] def test_value_check(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "option/11": {"meeting_id": 113, "poll_id": 1}, "option/12": {"meeting_id": 113, "poll_id": 1}, "option/13": {"meeting_id": 113, "poll_id": 1}, "poll/1": { "title": "my test poll", "option_ids": [11, 12, 13], "pollmethod": "YN", "meeting_id": 113, "entitled_group_ids": [1], "state": Poll.STATE_STARTED, }, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, } ) response = self.request( "poll.vote", { "id": 1, "user_id": 1, "value": {"11": "Y", "12": "N", "13": "A"}, }, ) self.assert_status_code(response, 400) assert ( "Data for option 13 does not fit the poll method." in response.json["message"] ) def test_vote_correct_pollmethod_YN(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "option/11": {"meeting_id": 113, "poll_id": 1}, "option/12": {"meeting_id": 113, "poll_id": 1}, "option/13": {"meeting_id": 113, "poll_id": 1}, "poll/1": { "title": "my test poll", "option_ids": [11, 12, 13], "pollmethod": "YN", "meeting_id": 113, "entitled_group_ids": [1], "state": Poll.STATE_STARTED, "min_votes_amount": 1, "max_votes_amount": 10, }, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, } ) response = self.request( "poll.vote", { "id": 1, "user_id": 1, "value": {"11": "Y", "12": "N"}, }, ) self.assert_status_code(response, 200) vote = self.get_model("vote/1") assert vote.get("value") == "Y" assert vote.get("option_id") == 11 assert vote.get("weight") == "1.000000" assert vote.get("meeting_id") == 113 assert vote.get("user_id") == 1 user_token = vote.get("user_token") vote = self.get_model("vote/2") assert vote.get("value") == "N" assert vote.get("option_id") == 12 assert vote.get("weight") == "1.000000" assert vote.get("meeting_id") == 113 assert vote.get("user_id") == 1 assert vote.get("user_token") == user_token option = self.get_model("option/11") assert option.get("vote_ids") == [1] assert option.get("yes") == "1.000000" assert option.get("no") == "0.000000" assert option.get("abstain") == "0.000000" option = self.get_model("option/12") assert option.get("vote_ids") == [2] assert option.get("yes") == "0.000000" assert option.get("no") == "1.000000" assert option.get("abstain") == "0.000000" user = self.get_model("user/1") assert user.get("vote_$_ids") == ["113"] assert user.get("vote_$113_ids") == [1, 2] def test_vote_wrong_votes_total(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "option/11": {"meeting_id": 113, "poll_id": 1}, "option/12": {"meeting_id": 113, "poll_id": 1}, "option/13": {"meeting_id": 113, "poll_id": 1}, "poll/1": { "title": "my test poll", "option_ids": [11, 12, 13], "pollmethod": "Y", "meeting_id": 113, "entitled_group_ids": [1], "state": Poll.STATE_STARTED, "min_votes_amount": 1, "max_votes_amount": 1, }, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, } ) response = self.request( "poll.vote", { "id": 1, "user_id": 1, "value": {"11": 1, "12": 1}, }, ) self.assert_status_code(response, 400) assert ( "The sum of your answers has to be between 1 and 1" in response.json["message"] ) self.assert_model_not_exists("vote/1") def test_vote_pollmethod_Y_wrong_value(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "option/11": {"meeting_id": 113, "poll_id": 1}, "poll/1": { "option_ids": [11, 12, 13], "pollmethod": "Y", "meeting_id": 113, "entitled_group_ids": [1], "state": Poll.STATE_STARTED, }, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, } ) response = self.request( "poll.vote", { "id": 1, "value": {"11": "Y"}, }, ) self.assert_status_code(response, 400) assert "Your vote has a wrong format" in response.json["message"] self.assert_model_not_exists("vote/1") def test_vote_no_votes_total_check_by_YNA(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "option/11": {"meeting_id": 113, "poll_id": 1}, "option/12": {"meeting_id": 113, "poll_id": 1}, "option/13": {"meeting_id": 113, "poll_id": 1}, "poll/1": { "title": "my test poll", "option_ids": [11, 12, 13], "pollmethod": "YNA", "meeting_id": 113, "entitled_group_ids": [1], "state": Poll.STATE_STARTED, "min_votes_amount": 1, "max_votes_amount": 1, }, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, } ) response = self.request( "poll.vote", { "id": 1, "user_id": 1, "value": {"11": "Y", "12": "A"}, }, ) self.assert_status_code(response, 200) self.assert_model_exists("vote/1") def test_vote_no_votes_total_check_by_YN(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "option/11": {"meeting_id": 113, "poll_id": 1}, "option/12": {"meeting_id": 113, "poll_id": 1}, "option/13": {"meeting_id": 113, "poll_id": 1}, "poll/1": { "title": "my test poll", "option_ids": [11, 12, 13], "pollmethod": "YN", "meeting_id": 113, "entitled_group_ids": [1], "state": Poll.STATE_STARTED, "min_votes_amount": 1, "max_votes_amount": 1, }, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, } ) response = self.request( "poll.vote", { "id": 1, "user_id": 1, "value": {"11": "Y", "12": "N"}, }, ) self.assert_status_code(response, 200) self.assert_model_exists("vote/1") def test_vote_wrong_votes_total_min_case(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "option/11": {"meeting_id": 113, "poll_id": 1}, "option/12": {"meeting_id": 113, "poll_id": 1}, "option/13": {"meeting_id": 113, "poll_id": 1}, "poll/1": { "title": "my test poll", "option_ids": [11, 12, 13], "pollmethod": "Y", "meeting_id": 113, "entitled_group_ids": [1], "state": Poll.STATE_STARTED, "min_votes_amount": 2, "max_votes_amount": 2, }, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, } ) response = self.request( "poll.vote", { "id": 1, "user_id": 1, "value": {"11": 1}, }, ) self.assert_status_code(response, 400) assert ( "The sum of your answers has to be between 2 and 2" in response.json["message"] ) self.assert_model_not_exists("vote/1") def test_vote_global(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1, 2]}, "option/11": {"meeting_id": 113, "used_as_global_option_in_poll_id": 1}, "user/2": { "username": "test2", "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, "poll/1": { "title": "my test poll", "global_option_id": 11, "global_no": True, "global_yes": False, "global_abstain": False, "meeting_id": 113, "entitled_group_ids": [1], "state": Poll.STATE_STARTED, "pollmethod": "YNA", }, } ) response = self.request( "poll.vote", {"id": 1, "user_id": 1, "value": "N"}, stop_poll_after_vote=False, ) self.assert_status_code(response, 200) response = self.request("poll.vote", {"id": 1, "user_id": 2, "value": "Y"}) self.assert_status_code(response, 400) vote = self.get_model("vote/1") assert vote.get("value") == "N" assert vote.get("option_id") == 11 assert vote.get("weight") == "1.000000" assert vote.get("meeting_id") == 113 assert vote.get("user_id") == 1 option = self.get_model("option/11") assert option.get("vote_ids") == [1] assert option.get("yes") == "0.000000" assert option.get("no") == "1.000000" assert option.get("abstain") == "0.000000" user = self.get_model("user/1") assert user.get("vote_$_ids") == ["113"] assert user.get("vote_$113_ids") == [1] self.assert_model_not_exists("vote/2") option = self.get_model("option/11") assert option.get("vote_ids") == [1] user = self.get_model("user/1") assert user.get("vote_$_ids") == ["113"] assert user.get("vote_$113_ids") == [1] def test_vote_schema_problems(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "poll/1": { "title": "my test poll", "entitled_group_ids": [1], "meeting_id": 113, "pollmethod": "YNA", "state": Poll.STATE_STARTED, }, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, } ) response = self.request("poll.vote", {"id": 1, "user_id": 1, "value": "X"}) self.assert_status_code(response, 400) assert "Global vote X is not enabled" in response.json["message"] def test_vote_invalid_vote_value(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "option/11": {"meeting_id": 113, "poll_id": 1}, "poll/1": { "option_ids": [11], "pollmethod": "YNA", "meeting_id": 113, "entitled_group_ids": [1], "state": Poll.STATE_STARTED, "meeting_id": 113, }, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, } ) response = self.request( "poll.vote", { "id": 1, "user_id": 1, "value": {"11": "X"}, }, ) self.assert_status_code(response, 400) assert ( "Data for option 11 does not fit the poll method." in response.json["message"] ) def test_vote_not_started_in_service(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "poll/1": { "type": "named", "meeting_id": 113, "pollmethod": "YNA", "global_yes": True, "entitled_group_ids": [1], "state": Poll.STATE_STARTED, }, "user/1": { "is_present_in_meeting_ids": [113], "group_$_ids": ["113"], "group_$113_ids": [1], }, } ) response = self.request( "poll.vote", {"id": 1, "value": "Y"}, start_poll_before_vote=False, stop_poll_after_vote=False, ) self.assert_status_code(response, 400) assert "Poll does not exist" in response.json["message"] def test_vote_option_not_in_poll(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "poll/1": { "title": "my test poll", "type": "named", "pollmethod": "YNA", "entitled_group_ids": [1], "meeting_id": 113, "state": Poll.STATE_STARTED, }, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, } ) response = self.request( "poll.vote", { "id": 1, "user_id": 1, "value": {"113": "Y"}, }, ) self.assert_status_code(response, 400) assert "Option_id 113 does not belong to the poll" in response.json["message"] def test_double_vote(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1, 2]}, "option/11": {"meeting_id": 113, "used_as_global_option_in_poll_id": 1}, "user/2": { "username": "test2", "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, "poll/1": { "title": "my test poll", "global_option_id": 11, "global_no": True, "global_yes": False, "global_abstain": False, "meeting_id": 113, "entitled_group_ids": [1], "pollmethod": "YN", "state": Poll.STATE_STARTED, }, } ) response = self.request( "poll.vote", {"id": 1, "user_id": 1, "value": "N"}, stop_poll_after_vote=False, ) self.assert_status_code(response, 200) response = self.request( "poll.vote", {"id": 1, "user_id": 1, "value": "N"}, start_poll_before_vote=False, ) self.assert_status_code(response, 400) assert "Not the first vote" in response.json["message"] vote = self.get_model("vote/1") assert vote.get("value") == "N" assert vote.get("option_id") == 11 assert vote.get("weight") == "1.000000" assert vote.get("meeting_id") == 113 assert vote.get("user_id") == 1 option = self.get_model("option/11") assert option.get("vote_ids") == [1] user = self.get_model("user/1") assert user.get("vote_$_ids") == ["113"] assert user.get("vote_$113_ids") == [1] def test_check_user_in_entitled_group(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "option/11": {"meeting_id": 113, "used_as_global_option_in_poll_id": 1}, "user/1": {"is_present_in_meeting_ids": [113]}, "poll/1": { "pollmethod": "YNA", "global_option_id": 11, "global_no": True, "global_yes": False, "global_abstain": False, "meeting_id": 113, "entitled_group_ids": [], "state": Poll.STATE_STARTED, }, } ) response = self.request("poll.vote", {"id": 1, "user_id": 1, "value": "N"}) self.assert_status_code(response, 400) assert "User 1 is not allowed to vote" in response.json["message"] def test_check_user_present_in_meeting(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "user/1": {"group_$_ids": ["113"], "group_$113_ids": [1]}, "option/11": {"meeting_id": 113, "used_as_global_option_in_poll_id": 1}, "poll/1": { "title": "my test poll", "global_option_id": 11, "global_no": True, "global_yes": False, "global_abstain": False, "meeting_id": 113, "entitled_group_ids": [1], "state": Poll.STATE_STARTED, }, } ) response = self.request("poll.vote", {"id": 1, "value": "N"}) self.assert_status_code(response, 400) assert "You have to be present in meeting 113" in response.json["message"] def test_check_str_validation(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "poll/1": { "title": "my test poll", "type": "named", "meeting_id": 113, "entitled_group_ids": [1], "pollmethod": "Y", "state": Poll.STATE_STARTED, }, "user/1": { "is_present_in_meeting_ids": [113], "group_$_ids": ["113"], "group_$113_ids": [1], }, } ) response = self.request("poll.vote", {"id": 1, "user_id": 1, "value": "X"}) self.assert_status_code(response, 400) assert "Global vote X is not enabled" in response.json["message"] def test_default_vote_weight(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "option/11": {"meeting_id": 113, "poll_id": 1}, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], "default_vote_weight": "3.000000", }, "poll/1": { "title": "my test poll", "option_ids": [11], "pollmethod": "Y", "meeting_id": 113, "entitled_group_ids": [1], "state": Poll.STATE_STARTED, }, "meeting/113": {"users_enable_vote_weight": True}, } ) response = self.request( "poll.vote", {"id": 1, "user_id": 1, "value": {"11": 1}} ) self.assert_status_code(response, 200) vote = self.get_model("vote/1") assert vote.get("value") == "Y" assert vote.get("option_id") == 11 assert vote.get("weight") == "3.000000" assert vote.get("meeting_id") == 113 assert vote.get("user_id") == 1 option = self.get_model("option/11") assert option.get("vote_ids") == [1] assert option.get("yes") == "3.000000" assert option.get("no") == "0.000000" assert option.get("abstain") == "0.000000" user = self.get_model("user/1") assert user.get("vote_$_ids") == ["113"] assert user.get("vote_$113_ids") == [1] def test_vote_weight_not_enabled(self) -> None: self.set_models( { "organization/1": {"enable_electronic_voting": True}, "group/1": {"user_ids": [1]}, "option/11": {"meeting_id": 113, "poll_id": 1}, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], "default_vote_weight": "3.000000", "vote_weight_$113": "4.200000", "vote_weight_$": ["113"], }, "poll/1": { "title": "my test poll", "option_ids": [11], "pollmethod": "Y", "meeting_id": 113, "entitled_group_ids": [1], "state": Poll.STATE_STARTED, }, "meeting/113": {"users_enable_vote_weight": False}, } ) response = self.request( "poll.vote", {"id": 1, "user_id": 1, "value": {"11": 1}} ) self.assert_status_code(response, 200) vote = self.get_model("vote/1") assert vote.get("value") == "Y" assert vote.get("option_id") == 11 assert vote.get("weight") == "1.000000" assert vote.get("meeting_id") == 113 assert vote.get("user_id") == 1 option = self.get_model("option/11") assert option.get("vote_ids") == [1] assert option.get("yes") == "1.000000" assert option.get("no") == "0.000000" assert option.get("abstain") == "0.000000" user = self.get_model("user/1") assert user.get("vote_$_ids") == ["113"] assert user.get("vote_$113_ids") == [1] class VotePollBaseTestClass(BaseVoteTestCase): def setUp(self) -> None: super().setUp() self.set_models( { "assignment/1": { "title": "test_assignment_tcLT59bmXrXif424Qw7K", "open_posts": 1, "meeting_id": 113, }, "meeting/113": {"is_active_in_organization_id": 1}, } ) self.create_poll() self.set_models( { "group/1": {"user_ids": [1]}, "option/1": { "meeting_id": 113, "poll_id": 1, "yes": "0.000000", "no": "0.000000", "abstain": "0.000000", }, "option/2": { "meeting_id": 113, "poll_id": 1, "yes": "0.000000", "no": "0.000000", "abstain": "0.000000", }, "user/1": { "is_present_in_meeting_ids": [113], "group_$113_ids": [1], "group_$_ids": ["113"], }, "option/11": {"meeting_id": 113, "used_as_global_option_in_poll_id": 1}, "poll/1": {"global_option_id": 11}, } ) def create_poll(self) -> None: # has to be implemented by subclasses raise NotImplementedError() def start_poll(self) -> None: self.update_model("poll/1", {"state": Poll.STATE_STARTED}) def add_option(self) -> None: self.set_models( { "option/3": {"meeting_id": 113, "poll_id": 1}, "poll/1": {"option_ids": [1, 2, 3]}, } ) class VotePollNamedYNA(VotePollBaseTestClass): def create_poll(self) -> None: self.create_model( "poll/1", { "content_object_id": "assignment/1", "title": "test_title_OkHAIvOSIcpFnCxbaL6v", "pollmethod": "YNA", "type": Poll.TYPE_NAMED, "state": Poll.STATE_CREATED, "meeting_id": 113, "option_ids": [1, 2], "entitled_group_ids": [1], "votescast": "0.000000", "votesvalid": "0.000000", "votesinvalid": "0.000000", "min_votes_amount": 1, "max_votes_amount": 10, }, ) def test_vote(self) -> None: self.add_option() self.start_poll() response = self.request( "poll.vote", {"value": {"1": "Y", "2": "N", "3": "A"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 200) self.assert_model_count("vote", 113, 3) poll = self.get_model("poll/1") self.assertEqual(poll.get("votesvalid"), "1.000000") self.assertEqual(poll.get("votesinvalid"), "0.000000") self.assertEqual(poll.get("votescast"), "1.000000") self.assertIn(1, poll.get("voted_ids", [])) option1 = self.get_model("option/1") option2 = self.get_model("option/2") option3 = self.get_model("option/3") self.assertEqual(option1.get("yes"), "1.000000") self.assertEqual(option1.get("no"), "0.000000") self.assertEqual(option1.get("abstain"), "0.000000") self.assertEqual(option2.get("yes"), "0.000000") self.assertEqual(option2.get("no"), "1.000000") self.assertEqual(option2.get("abstain"), "0.000000") self.assertEqual(option3.get("yes"), "0.000000") self.assertEqual(option3.get("no"), "0.000000") self.assertEqual(option3.get("abstain"), "1.000000") def test_vote_with_voteweight(self) -> None: self.set_models( { "user/1": {"vote_weight_$113": "4.200000", "vote_weight_$": ["113"]}, "meeting/113": {"users_enable_vote_weight": True}, } ) self.add_option() self.start_poll() response = self.request( "poll.vote", {"value": {"1": "Y", "2": "N", "3": "A"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 200) self.assert_model_count("vote", 113, 3) poll = self.get_model("poll/1") self.assertEqual(poll.get("votesvalid"), "4.200000") self.assertEqual(poll.get("votesinvalid"), "0.000000") self.assertEqual(poll.get("votescast"), "1.000000") self.assertEqual(poll.get("state"), Poll.STATE_FINISHED) option1 = self.get_model("option/1") option2 = self.get_model("option/2") option3 = self.get_model("option/3") self.assertEqual(option1.get("yes"), "4.200000") self.assertEqual(option1.get("no"), "0.000000") self.assertEqual(option1.get("abstain"), "0.000000") self.assertEqual(option2.get("yes"), "0.000000") self.assertEqual(option2.get("no"), "4.200000") self.assertEqual(option2.get("abstain"), "0.000000") self.assertEqual(option3.get("yes"), "0.000000") self.assertEqual(option3.get("no"), "0.000000") self.assertEqual(option3.get("abstain"), "4.200000") def test_change_vote(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": "Y"}, "id": 1, "user_id": 1}, stop_poll_after_vote=False, ) response = self.request( "poll.vote", {"value": {"1": "N"}, "id": 1, "user_id": 1}, start_poll_before_vote=False, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/2") vote = self.get_model("vote/1") self.assertEqual(vote.get("value"), "Y") def test_too_many_options(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": "Y", "3": "N"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_options(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": "Y", "3": "N"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_anonymous(self) -> None: self.start_poll() response = self.anonymous_vote({"value": {"1": "Y"}}) self.assert_status_code(response, 401) self.assert_model_not_exists("vote/1") def test_vote_not_present(self) -> None: self.start_poll() self.update_model("user/1", {"is_present_in_meeting_ids": []}) response = self.request( "poll.vote", {"value": {"1": "Y"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_state(self) -> None: response = self.request( "poll.vote", {"value": {"1": "Y"}, "id": 1, "user_id": 1}, start_poll_before_vote=False, stop_poll_after_vote=False, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_missing_data(self) -> None: self.start_poll() response = self.request("poll.vote", {"value": {}, "id": 1, "user_id": 1}) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") poll = self.get_model("poll/1") self.assertNotIn(1, poll.get("voted_ids", [])) def test_wrong_data_format(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": [1, 2, 5], "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_option_format(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": "string"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_option_id_type(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"id": "Y"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_vote_data(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": [None]}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") class VotePollNamedY(VotePollBaseTestClass): def create_poll(self) -> None: self.create_model( "poll/1", { "content_object_id": "assignment/1", "title": "test_title_Zrvh146QAdq7t6iSDwZk", "pollmethod": "Y", "type": Poll.TYPE_NAMED, "state": Poll.STATE_CREATED, "meeting_id": 113, "option_ids": [1, 2], "entitled_group_ids": [1], "votesinvalid": "0.000000", "global_yes": True, "global_no": True, "global_abstain": True, "min_votes_amount": 1, "max_votes_amount": 10, }, ) def test_vote(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": 1, "2": 0}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 200) self.assert_model_exists("vote/1") self.assert_model_not_exists("vote/2") poll = self.get_model("poll/1") self.assertEqual(poll.get("votesvalid"), "1.000000") self.assertEqual(poll.get("votesinvalid"), "0.000000") self.assertEqual(poll.get("votescast"), "1.000000") self.assertIn(1, poll.get("voted_ids", [])) option1 = self.get_model("option/1") option2 = self.get_model("option/2") self.assertEqual(option1.get("yes"), "1.000000") self.assertEqual(option1.get("no"), "0.000000") self.assertEqual(option1.get("abstain"), "0.000000") self.assertEqual(option2.get("yes"), "0.000000") self.assertEqual(option2.get("no"), "0.000000") self.assertEqual(option2.get("abstain"), "0.000000") def test_change_vote(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": 1, "2": 0}, "id": 1, "user_id": 1}, stop_poll_after_vote=False, ) response = self.request( "poll.vote", {"value": {"1": 0, "2": 1}, "id": 1, "user_id": 1}, start_poll_before_vote=False, ) self.assert_status_code(response, 400) option1 = self.get_model("option/1") option2 = self.get_model("option/2") self.assertEqual(option1.get("yes"), "1.000000") self.assertEqual(option1.get("no"), "0.000000") self.assertEqual(option1.get("abstain"), "0.000000") self.assertEqual(option2.get("yes"), "0.000000") self.assertEqual(option2.get("no"), "0.000000") self.assertEqual(option2.get("abstain"), "0.000000") def test_global_yes(self) -> None: self.start_poll() response = self.request("poll.vote", {"value": "Y", "id": 1, "user_id": 1}) self.assert_status_code(response, 200) option = self.get_model("option/11") self.assertEqual(option.get("yes"), "1.000000") self.assertEqual(option.get("no"), "0.000000") self.assertEqual(option.get("abstain"), "0.000000") def test_global_yes_forbidden(self) -> None: self.update_model("poll/1", {"global_yes": False}) self.start_poll() response = self.request("poll.vote", {"value": "Y", "id": 1, "user_id": 1}) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_global_no(self) -> None: self.start_poll() response = self.request("poll.vote", {"value": "N", "id": 1, "user_id": 1}) self.assert_status_code(response, 200) option = self.get_model("option/11") self.assertEqual(option.get("yes"), "0.000000") self.assertEqual(option.get("no"), "1.000000") self.assertEqual(option.get("abstain"), "0.000000") def test_global_no_forbidden(self) -> None: self.update_model("poll/1", {"global_no": False}) self.start_poll() response = self.request("poll.vote", {"value": "N", "id": 1, "user_id": 1}) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_global_abstain(self) -> None: self.start_poll() response = self.request("poll.vote", {"value": "A", "id": 1, "user_id": 1}) self.assert_status_code(response, 200) option = self.get_model("option/11") self.assertEqual(option.get("yes"), "0.000000") self.assertEqual(option.get("no"), "0.000000") self.assertEqual(option.get("abstain"), "1.000000") def test_global_abstain_forbidden(self) -> None: self.update_model("poll/1", {"global_abstain": False}) self.start_poll() response = self.request("poll.vote", {"value": "A", "id": 1, "user_id": 1}) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_negative_vote(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": -1}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_too_many_options(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": 1, "2": 1, "3": 1}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_options(self) -> None: self.start_poll() response = self.request( "poll.vote", {"id": 1, "value": {"3": 1}}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_anonymous(self) -> None: self.start_poll() response = self.anonymous_vote({"value": {"1": 1}}) self.assert_status_code(response, 401) self.assert_model_not_exists("vote/1") def test_anonymous_as_vote_user(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": 1}, "id": 1, "user_id": 0}, ) self.assert_status_code(response, 400) assert "Votes for anonymous user are not allowed" in response.json["message"] self.assert_model_not_exists("vote/1") def test_vote_not_present(self) -> None: self.start_poll() self.update_model("user/1", {"is_present_in_meeting_ids": []}) response = self.request( "poll.vote", {"value": {"1": 1}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_state(self) -> None: response = self.request( "poll.vote", {"value": {"1": 1}, "id": 1, "user_id": 1}, start_poll_before_vote=False, stop_poll_after_vote=False, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_missing_data(self) -> None: self.start_poll() response = self.request("poll.vote", {"value": {}, "id": 1, "user_id": 1}) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") poll = self.get_model("poll/1") self.assertNotIn(1, poll.get("voted_ids", [])) def test_wrong_data_format(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": [1, 2, 5], "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_option_format(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": "string"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_option_id_type(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"id": 1}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_vote_data(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": [None]}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") class VotePollNamedN(VotePollBaseTestClass): def create_poll(self) -> None: self.create_model( "poll/1", { "content_object_id": "assignment/1", "title": "test_title_4oi49ckKFk39SDIfj30s", "pollmethod": "N", "type": Poll.TYPE_NAMED, "state": Poll.STATE_CREATED, "meeting_id": 113, "option_ids": [1, 2], "entitled_group_ids": [1], "votesinvalid": "0.000000", "global_yes": True, "global_no": True, "global_abstain": True, "min_votes_amount": 1, "max_votes_amount": 10, }, ) def test_vote(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": 1, "2": 0}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 200) self.assert_model_exists("vote/1") self.assert_model_not_exists("vote/2") poll = self.get_model("poll/1") self.assertEqual(poll.get("votesvalid"), "1.000000") self.assertEqual(poll.get("votesinvalid"), "0.000000") self.assertEqual(poll.get("votescast"), "1.000000") self.assertTrue(1 in poll.get("voted_ids", [])) option1 = self.get_model("option/1") option2 = self.get_model("option/2") self.assertEqual(option1.get("yes"), "0.000000") self.assertEqual(option1.get("no"), "1.000000") self.assertEqual(option1.get("abstain"), "0.000000") self.assertEqual(option2.get("yes"), "0.000000") self.assertEqual(option2.get("no"), "0.000000") self.assertEqual(option2.get("abstain"), "0.000000") def test_change_vote(self) -> None: self.add_option() self.start_poll() response = self.request( "poll.vote", {"value": {"1": 1, "2": 0}, "id": 1, "user_id": 1}, stop_poll_after_vote=False, ) response = self.request( "poll.vote", {"value": {"1": 0, "2": 1}, "id": 1, "user_id": 1}, start_poll_before_vote=False, ) self.assert_status_code(response, 400) option1 = self.get_model("option/1") option2 = self.get_model("option/2") self.assertEqual(option1.get("yes"), "0.000000") self.assertEqual(option1.get("no"), "1.000000") self.assertEqual(option1.get("abstain"), "0.000000") self.assertEqual(option2.get("yes"), "0.000000") self.assertEqual(option2.get("no"), "0.000000") self.assertEqual(option2.get("abstain"), "0.000000") def test_global_yes(self) -> None: self.start_poll() response = self.request("poll.vote", {"value": "Y", "id": 1, "user_id": 1}) self.assert_status_code(response, 200) option = self.get_model("option/11") self.assertEqual(option.get("yes"), "1.000000") self.assertEqual(option.get("no"), "0.000000") self.assertEqual(option.get("abstain"), "0.000000") def test_global_yes_forbidden(self) -> None: self.update_model("poll/1", {"global_yes": False}) self.start_poll() response = self.request("poll.vote", {"value": "Y", "id": 1, "user_id": 1}) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_global_no(self) -> None: self.start_poll() response = self.request("poll.vote", {"value": "N", "id": 1, "user_id": 1}) self.assert_status_code(response, 200) option = self.get_model("option/11") self.assertEqual(option.get("yes"), "0.000000") self.assertEqual(option.get("no"), "1.000000") self.assertEqual(option.get("abstain"), "0.000000") def test_global_no_forbidden(self) -> None: self.update_model("poll/1", {"global_no": False}) self.start_poll() response = self.request("poll.vote", {"value": "N", "id": 1, "user_id": 1}) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_global_abstain(self) -> None: self.start_poll() response = self.request("poll.vote", {"value": "A", "id": 1, "user_id": 1}) self.assert_status_code(response, 200) option = self.get_model("option/11") self.assertEqual(option.get("yes"), "0.000000") self.assertEqual(option.get("no"), "0.000000") self.assertEqual(option.get("abstain"), "1.000000") def test_global_abstain_forbidden(self) -> None: self.update_model("poll/1", {"global_abstain": False}) self.start_poll() response = self.request("poll.vote", {"value": "A", "id": 1, "user_id": 1}) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_negative_vote(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": -1}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_options(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"3": 1}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_anonymous(self) -> None: self.start_poll() response = self.anonymous_vote({"value": {"1": 1}}) self.assert_status_code(response, 401) self.assert_model_not_exists("vote/1") def test_vote_not_present(self) -> None: self.start_poll() self.update_model("user/1", {"is_present_in_meeting_ids": []}) response = self.request( "poll.vote", {"value": {"1": 1}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_state(self) -> None: response = self.request( "poll.vote", {"value": {"1": 1}, "id": 1, "user_id": 1}, start_poll_before_vote=False, stop_poll_after_vote=False, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_missing_data(self) -> None: self.start_poll() response = self.request("poll.vote", {"value": {}, "id": 1, "user_id": 1}) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") poll = self.get_model("poll/1") self.assertNotIn(1, poll.get("voted_ids", [])) def test_wrong_data_format(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": [1, 2, 5], "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_option_format(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": "string"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_option_id_type(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"id": 1}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_vote_data(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": [None]}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") class VotePollPseudoanonymousYNA(VotePollBaseTestClass): def create_poll(self) -> None: self.create_model( "poll/1", { "content_object_id": "assignment/1", "title": "test_title_OkHAIvOSIcpFnCxbaL6v", "pollmethod": "YNA", "type": Poll.TYPE_PSEUDOANONYMOUS, "state": Poll.STATE_CREATED, "meeting_id": 113, "option_ids": [1, 2], "entitled_group_ids": [1], "votesinvalid": "0.000000", "min_votes_amount": 1, "max_votes_amount": 10, }, ) def test_vote(self) -> None: self.add_option() self.start_poll() response = self.request( "poll.vote", {"value": {"1": "Y", "2": "N", "3": "A"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 200) self.assert_model_count("vote", 113, 3) poll = self.get_model("poll/1") self.assertEqual(poll.get("votesvalid"), "1.000000") self.assertEqual(poll.get("votesinvalid"), "0.000000") self.assertEqual(poll.get("votescast"), "1.000000") option1 = self.get_model("option/1") option2 = self.get_model("option/2") option3 = self.get_model("option/3") self.assertEqual(option1.get("yes"), "1.000000") self.assertEqual(option1.get("no"), "0.000000") self.assertEqual(option1.get("abstain"), "0.000000") self.assertEqual(option2.get("yes"), "0.000000") self.assertEqual(option2.get("no"), "1.000000") self.assertEqual(option2.get("abstain"), "0.000000") self.assertEqual(option3.get("yes"), "0.000000") self.assertEqual(option3.get("no"), "0.000000") self.assertEqual(option3.get("abstain"), "1.000000") def test_change_vote(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": "Y"}, "id": 1, "user_id": 1}, stop_poll_after_vote=False, ) response = self.request( "poll.vote", {"value": {"1": "N"}, "id": 1, "user_id": 1}, start_poll_before_vote=False, ) self.assert_status_code(response, 400) option1 = self.get_model("option/1") self.assertEqual(option1.get("yes"), "1.000000") self.assertEqual(option1.get("no"), "0.000000") self.assertEqual(option1.get("abstain"), "0.000000") def test_too_many_options(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": "Y", "3": "N"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_partial_vote(self) -> None: self.add_option() self.start_poll() response = self.request( "poll.vote", {"value": {"1": "Y"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 200) self.assert_model_exists("vote/1") def test_wrong_options(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": "Y", "3": "N"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_anonymous(self) -> None: self.start_poll() response = self.anonymous_vote({"value": {"1": "Y"}}) self.assert_status_code(response, 401) self.assert_model_not_exists("vote/1") def test_vote_not_present(self) -> None: self.start_poll() self.update_model("user/1", {"is_present_in_meeting_ids": []}) response = self.request( "poll.vote", {"value": {"1": "Y"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_state(self) -> None: response = self.request( "poll.vote", {"value": {}, "id": 1, "user_id": 1}, start_poll_before_vote=False, stop_poll_after_vote=False, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_missing_value(self) -> None: self.start_poll() response = self.request("poll.vote", {"value": {}, "id": 1, "user_id": 1}) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") poll = self.get_model("poll/1") self.assertNotIn(1, poll.get("voted_ids", [])) def test_wrong_value_format(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": [1, 2, 5], "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_option_format(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": "string"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_option_id_type(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"id": "Y"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_vote_value(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": [None]}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") class VotePollPseudoanonymousY(VotePollBaseTestClass): def create_poll(self) -> None: self.create_model( "poll/1", { "content_object_id": "assignment/1", "title": "test_title_Zrvh146QAdq7t6iSDwZk", "pollmethod": "Y", "type": Poll.TYPE_PSEUDOANONYMOUS, "state": Poll.STATE_CREATED, "meeting_id": 113, "option_ids": [1, 2], "entitled_group_ids": [1], "votesinvalid": "0.000000", "min_votes_amount": 1, "max_votes_amount": 10, }, ) def test_vote(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": 1, "2": 0}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 200) self.assert_model_exists("vote/1") self.assert_model_not_exists("vote/2") poll = self.get_model("poll/1") self.assertEqual(poll.get("votesvalid"), "1.000000") self.assertEqual(poll.get("votesinvalid"), "0.000000") self.assertEqual(poll.get("votescast"), "1.000000") self.assertTrue(1 in poll.get("voted_ids", [])) option1 = self.get_model("option/1") option2 = self.get_model("option/2") self.assertEqual(option1.get("yes"), "1.000000") self.assertEqual(option1.get("no"), "0.000000") self.assertEqual(option1.get("abstain"), "0.000000") self.assertEqual(option2.get("yes"), "0.000000") self.assertEqual(option2.get("no"), "0.000000") self.assertEqual(option2.get("abstain"), "0.000000") vote = self.get_model("vote/1") self.assertIsNone(vote.get("user_id")) def test_change_vote(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": 1, "2": 0}, "id": 1, "user_id": 1}, stop_poll_after_vote=False, ) response = self.request( "poll.vote", {"value": {"1": 0, "2": 1}, "id": 1, "user_id": 1}, start_poll_before_vote=False, ) self.assert_status_code(response, 400) self.get_model("poll/1") option1 = self.get_model("option/1") option2 = self.get_model("option/2") self.assertEqual(option1.get("yes"), "1.000000") self.assertEqual(option1.get("no"), "0.000000") self.assertEqual(option1.get("abstain"), "0.000000") self.assertEqual(option2.get("yes"), "0.000000") self.assertEqual(option2.get("no"), "0.000000") self.assertEqual(option2.get("abstain"), "0.000000") def test_negative_vote(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": -1}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_options(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"3": 1}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_vote_not_present(self) -> None: self.start_poll() self.update_model("user/1", {"is_present_in_meeting_ids": []}) response = self.request( "poll.vote", {"value": {"1": 1}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_state(self) -> None: response = self.request( "poll.vote", {"value": {"1": 1}, "id": 1, "user_id": 1}, start_poll_before_vote=False, stop_poll_after_vote=False, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_missing_data(self) -> None: self.start_poll() response = self.request("poll.vote", {"value": {}, "id": 1, "user_id": 1}) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") poll = self.get_model("poll/1") self.assertNotIn(1, poll.get("voted_ids", [])) def test_wrong_data_format(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"value": [1, 2, 5]}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_option_format(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": "string"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_option_id_type(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"id": 1}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_vote_data(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": [None]}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") class VotePollPseudoAnonymousN(VotePollBaseTestClass): def create_poll(self) -> None: self.create_model( "poll/1", { "content_object_id": "assignment/1", "title": "test_title_wWPOVJgL9afm83eamf3e", "pollmethod": "N", "type": Poll.TYPE_PSEUDOANONYMOUS, "state": Poll.STATE_CREATED, "meeting_id": 113, "option_ids": [1, 2], "entitled_group_ids": [1], "votesinvalid": "0.000000", "min_votes_amount": 1, "max_votes_amount": 10, }, ) def test_vote(self) -> None: self.start_poll() response = self.request( "poll.vote", {"id": 1, "value": {"1": 1, "2": 0}, "user_id": 1}, ) self.assert_status_code(response, 200) self.assert_model_exists("vote/1") self.assert_model_not_exists("vote/2") poll = self.get_model("poll/1") self.assertEqual(poll.get("votesvalid"), "1.000000") self.assertEqual(poll.get("votesinvalid"), "0.000000") self.assertEqual(poll.get("votescast"), "1.000000") self.assertTrue(1 in poll.get("voted_ids", [])) option1 = self.get_model("option/1") option2 = self.get_model("option/2") self.assertEqual(option1.get("yes"), "0.000000") self.assertEqual(option1.get("no"), "1.000000") self.assertEqual(option1.get("abstain"), "0.000000") self.assertEqual(option2.get("yes"), "0.000000") self.assertEqual(option2.get("no"), "0.000000") self.assertEqual(option2.get("abstain"), "0.000000") vote = self.get_model("vote/1") self.assertIsNone(vote.get("user_id")) def test_change_vote(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": 1, "2": 0}, "id": 1, "user_id": 1}, stop_poll_after_vote=False, ) response = self.request( "poll.vote", {"value": {"1": 0, "2": 1}, "id": 1, "user_id": 1}, start_poll_before_vote=False, ) self.assert_status_code(response, 400) self.get_model("poll/1") option1 = self.get_model("option/1") self.assertEqual(option1.get("yes"), "0.000000") self.assertEqual(option1.get("no"), "1.000000") self.assertEqual(option1.get("abstain"), "0.000000") option2 = self.get_model("option/2") self.assertEqual(option2.get("yes"), "0.000000") self.assertEqual(option2.get("no"), "0.000000") self.assertEqual(option2.get("abstain"), "0.000000") def test_negative_vote(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": -1}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_vote_not_present(self) -> None: self.start_poll() self.update_model("user/1", {"is_present_in_meeting_ids": []}) response = self.request( "poll.vote", {"id": 1, "user_id": 1, "value": {"1": 1}}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_state(self) -> None: response = self.request( "poll.vote", {"value": {"1": 1}, "id": 1, "user_id": 1}, start_poll_before_vote=False, stop_poll_after_vote=False, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_data_format(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": [1, 2, 5], "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) assert ( "decoding payload: unknown vote value: `[1,2,5]`" in response.json["message"] ) self.assert_model_not_exists("vote/1") def test_wrong_option_format(self) -> None: self.start_poll() response = self.request( "poll.vote", {"value": {"1": "string"}, "id": 1, "user_id": 1}, ) self.assert_status_code(response, 400) assert "Your vote has a wrong format" in response.json["message"] self.assert_model_not_exists("vote/1") def test_wrong_option_id_type(self) -> None: self.start_poll() response = self.request( "poll.vote", {"id": 1}, ) self.assert_status_code(response, 400) self.assert_model_not_exists("vote/1") def test_wrong_vote_data(self) -> None: self.start_poll() response = self.request( "poll.vote", {"id": 1, "value": {"1": [None]}, "user_id": 1}, ) self.assert_status_code(response, 400) assert "decoding payload: unknown vote value:" in response.json["message"] self.assert_model_not_exists("vote/1")

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0.072277

0.938198

0.929906

0.926589

0.91655

0.904882

0.90433

0

0.065084

0.337573

71,857

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89

37.621466

0.656933

0.002352

0

0.778965

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0.235658

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false

0

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0.075928

0

null

0

1

0

1

0

null

0

7

cabfe8148431487150ac3585d2e1354afabc73b4

2,535

py

Python

hgapp/characters/migrations/0035_artifact_circumstance_condition.py

shadytradesman/The-Contract-Website

d8b353064f91c53ebab951dec784a0a36caba260

[ "Apache-2.0" ]

6

2020-10-03T12:15:05.000Z

2021-10-15T04:43:36.000Z

hgapp/characters/migrations/0035_artifact_circumstance_condition.py

shadytradesman/The-Contract-Website

d8b353064f91c53ebab951dec784a0a36caba260

[ "Apache-2.0" ]

99

2020-06-04T17:43:56.000Z

2022-03-12T01:07:20.000Z

hgapp/characters/migrations/0035_artifact_circumstance_condition.py

shadytradesman/The-Contract-Website

d8b353064f91c53ebab951dec784a0a36caba260

[ "Apache-2.0" ]

9

2020-06-06T16:39:09.000Z

2020-10-02T16:24:17.000Z

# Generated by Django 2.2.13 on 2021-05-22 14:36 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): dependencies = [ ('cells', '0008_auto_20210521_0240'), ('characters', '0034_auto_20210521_0240'), ] operations = [ migrations.CreateModel( name='Condition', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=500)), ('description', models.CharField(max_length=1000)), ('system', models.CharField(max_length=1000)), ('cell', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='cells.Cell')), ('character', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='characters.Character')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='Circumstance', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=500)), ('description', models.CharField(max_length=1000)), ('system', models.CharField(max_length=1000)), ('cell', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='cells.Cell')), ('character', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='characters.Character')), ], options={ 'abstract': False, }, ), migrations.CreateModel( name='Artifact', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=500)), ('description', models.CharField(max_length=1000)), ('system', models.CharField(max_length=1000)), ('cell', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='cells.Cell')), ('character', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='characters.Character')), ], options={ 'abstract': False, }, ), ]

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249

2,535

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0.113764

0.151685

0.816713

0

0.044481

0.281657

2,535

57

130

44.473684

0.737507

0.018146

0

0.705882

1

0

0.127865

0.018496

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1

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false

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0.039216

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0.098039

0

null

0

1

0

1

0

null

0

8

caf197e8b3c02ba1ce8f417f706654501a9cdee8

5,008

py

Python

ssh/sanity.py

DavidChae2000/cs338

26b6f103b79a1b07d8d5662265741edea439dad2

[ "MIT" ]

null

ssh/sanity.py

DavidChae2000/cs338

26b6f103b79a1b07d8d5662265741edea439dad2

[ "MIT" ]

null

ssh/sanity.py

DavidChae2000/cs338

26b6f103b79a1b07d8d5662265741edea439dad2

[ "MIT" ]

null

import math nhex = '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' ehex = '010001' dhex = '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' phex = '00f7835d5a710b1eed86f2946b3305312acf096fb415f0d2ceaa0f1c64be3d08a7cb002c29bd16d70a21dcac4a960d630014aac7d4bfa894a914a4d98a1288d7ed6b8a2a7183564b88d441515a42adc0f4174c83fe8666320c983bf2b6ec715d35ec3674911d40498eb9a399d05e787a378766a937e812480063ee7136ff92763075c8c98bd6ffda1aa1cfc946259163e762af74d9753989f8473510f4e1a7b9340a346e690317b0d21ec30c77bc407006914ef14d39656e171d978ded3968889b' qhex = '00f25abcb7b95fd41b099ca7254fc5b07d82995050e294eb61550f489a932d9cc591dce820d6c14933d8e2057c65597243e25f380449d59aae91d27813ac227fe6b74430aeee2df39de5e7662b9b49e3a783e51410d68239231e4c41d13c48085f17ebb461fe744ccd045bc2fe049c60f652da273a856af8db4ded6c4439de569c1931a9baea9222d144e10ee684931b21c927db816cb2aaa12d1b4d95d53a92547abb26094dbbbcc8450f14eca223dccfeabefcf8d0fa7879933e9f160db16547' ex1hex = '00cb725a10962caaee58e71a22075cf42e18e1cbc47de8668ee2efeac9d02940ed130a80428a9fb4802a9745b3452599c39e39466a546390566e96960d4cf0d873d9da46cae946cc6d9af25999548797bbcb4ee48c1912f57eaebf4fe115f694c456f5e7d8c3ef6cc6f946458f25a7e7e5aed12eb4ba781460e5c33fa2126ee3e12f5fac72da75916424af33e509ca39111f67d3274f98cd149c0b3d75dbe9ce6cbd1a9dca897536ad7005a940de27252df0d0afbd67393d4598d8531bb3fd7d93' ex2hex = '684d2ebcef35d3c6131bed3f7c967aff792e5c47834c4e04e4a3a03e8e2aea3689310661e3aae9c33b8b028b67ded7f369404b8e64ec5e16d5413c565315c1efdc5da78a118d8b342056b73cfb2710a7ee76af6d13b495bc8c748b3aee739dceb72fc4c10bcea7a2f04641a42afdd6290cbd4076ca26a09559735dcdfb0dba3e920532a3f40212a3f7bdd838d343b040991ee3344f409178ae3dfae50a109c1b697a93c31b4639d803089b9bbfa82986fde356620b2650a519feb05ec063e14f' cohex = '00cba2482285fda2b94a962a77cd1eeea438768deceb35ead3f60378ee6166eec72022edce41a1dd8c403bfb8ab73022a3a0b3fc5e8d49319e65cfd671e876db39546948d8cf0881b28339f1b97800300c2cc54a312a418fd89a188e2cab258b27026a46fdfb16c97c044775a8150d80ab49e9b13d4d1efe9a46e02c66c41a974918598043c870514f6fb2cfd06df71ba260a33b9d45d9684ef0023bf28a3aae47a30c015c410dd373f0dc0c532468f6201cddc833cbceeef2b0c5c089e6200e5e' n = int(nhex, 16) e = int(ehex, 16) d = int(dhex, 16) p = int(phex, 16) q = int(qhex, 16) ex1 = int(ex1hex, 16) ex2 = int(ex2hex, 16) co = int(cohex, 16) # l = int(((p-1)*(q-1))/math.gcd(p-1,q-1)) overflow error so I did this calculation on an online calculator l = 2658802038852802029953426482625348287435299698020799104511769959716093662204460869464516234703249285615460032089620642000240815741563173471422341759203780293850144402988624465738583838504845051674579949752491489591345987662746959407647943898520794487070084120873506188599453531668545175875630399595146172605726319774185989968386305306734803851270662474575687560751546378104302752184786272121725602413957174425130772316019428842218936255662768586084351198080719032278130774603201306043076416136082159116158329775819589380272151469449360322748921108471486704577121632725026998046220539820847007341164573784011556299765764438683824504053318003992982465497771304090851010699197955634912225218978314424492334986869855621728812342902269728061573850702725417824331095067145085495012059559322101598116565390407523560035002445052000421321052608763333404586308438110315580823837332586879451363261029147994654156175496373854441735589390 sanity = 0 if p*q != n: sanity += 1 if math.gcd(e,l) != 1: sanity += 1 if e*d%l != 1: sanity += 1 if ex1 != d%(p-1): sanity += 1 if ex2 != d%(q-1): sanity += 1 print(sanity)

116.465116

930

0.938498

114

5,008

41.22807

0.412281

0.007447

0.00766

0.006383

0.004681

0

0.64917

0.03754

5,008

42

931

119.238095

0.325934

0.020966

0

0.166667

0

0.714992

0.713756

0

1

0

1

0

false

0

0.033333

0

0.033333

0

1

null

0

1

0

1

0

1

null

1

0

7

1b4da5a716b66ac22648a7d42e6ef700b03352b4

228

py

Python

bmtk/tests/simulator/bionet/conftest.py

aaberbach/bmtk

42aa70ce2003227a32df6ce5a95420dbf4bdfbd4

[ "BSD-3-Clause" ]

216

2017-10-03T17:02:42.000Z

2022-03-20T03:35:48.000Z

bmtk/tests/simulator/bionet/conftest.py

moekay/bmtk

6efdf6387d2a6badf276b917ee15d238daeae883

[ "BSD-3-Clause" ]

70

2017-10-05T00:50:41.000Z

2022-03-30T18:55:01.000Z

bmtk/tests/simulator/bionet/conftest.py

moekay/bmtk

6efdf6387d2a6badf276b917ee15d238daeae883

[ "BSD-3-Clause" ]

97

2017-10-03T22:15:06.000Z

2022-03-23T21:03:26.000Z

try: import bmtk.simulator.bionet as bionet from bmtk.simulator.bionet.gids import GidPool from bmtk.simulator.bionet.pyfunction_cache import * nrn_installed = True except ImportError: nrn_installed = False

25.333333

56

0.758772

29

228

5.862069

0.586207

0.229412

0.335294

0.270588

0

0.184211

228

9

57

25.333333

0.913978

0

1

0

false

0

0.571429

0

0.571429

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

1b801eb2d0665c4c11cc56eda53bee5fd75230ba

54,137

py

Python

utils/LineModels.py

farnikn/MithraLIMSims

6b11448b8859519edf9733b2e22bc5569356942f

[ "MIT" ]

null

utils/LineModels.py

farnikn/MithraLIMSims

6b11448b8859519edf9733b2e22bc5569356942f

[ "MIT" ]

null

utils/LineModels.py

farnikn/MithraLIMSims

6b11448b8859519edf9733b2e22bc5569356942f

[ "MIT" ]

null

import numpy as np from scipy.interpolate import interp2d, NearestNDInterpolator from nbodykit.utils import DistributedArray from nbodykit.lab import BigFileCatalog, MultipleSpeciesCatalog from nbodykit.cosmology.cosmology import Cosmology from pmesh.pm import ParticleMesh from sfr import logSFR_Behroozi gb_k_B = 1.38064852e-16 # Boltzmann constant in unit of erg K^-1 gb_L_sun = 3.83e33 # in unit of erg/s gb_c = 2.99792458e5 # in units of km/s gb_len_conv = 3.086e19 # conversion factor from Mpc to km gb_h = 0.677 cosmodef = {'omegam':0.309167, 'h':0.677, 'omegab':0.048} cosmo = Cosmology.from_dict(cosmodef) def H(z): return 100.* cosmo.h * cosmo.efunc(z) # ########################################### ########################################### # ########################################### MODELS ########################################### # ########################################### ########################################### class ModelHI_A(): def __init__(self, aa): self.aa = aa self.zz = 1/aa-1 self.alp = (1+2*self.zz)/(2+2*self.zz) #self.mcut = 1e9*( 1.8 + 15*(3*self.aa)**8) self.mcut = 3e9*( 1 + 10*(3*self.aa)**8) ###self.normhalo = 3e5*(1+(3.5/self.zz)**6) ###self.normhalo = 3e7 *(4+(3.5/self.zz)**6) self.normhalo = 8e5*(1+(3.5/self.zz)**6) self.normsat = self.normhalo*(1.75 + 0.25*self.zz) self.normsat *= 0.5 #THis is to avoid negative masses #z=1 if np.abs(self.zz-1.0)<0.1: self.alp = 0.76 self.mcut = 2.6e10 self.normhalo = 4.6e8 self.normsat = self.normsat/5 #z=0.5 if np.abs(self.zz-0.5)<0.1: self.alp = 0.63 self.mcut = 3.7e10 self.normhalo = 9.8e8 self.normsat = self.normsat/100 #z=0 if np.abs(self.zz - 0.0)<0.1: #print('Modify') self.alp = 0.49 self.mcut = 5.2e10 self.normhalo = 2.1e9 self.normsat = self.normsat/100 def assignline(self, halocat, cencat, satcat): mHIhalo = self.assignhalo(halocat['Mass'].compute()) mHIsat = self.assignsat(satcat['Mass'].compute()) mHIcen = self.assigncen(mHIhalo, mHIsat, satcat['GlobalID'].compute(), cencat.csize, cencat.comm) return mHIhalo, mHIcen, mHIsat def assignhalo(self, mhalo): xx = mhalo/self.mcut+1e-10 mHI = xx**self.alp * np.exp(-1/xx) mHI*= self.normhalo return mHI def assignsat(self, msat): xx = msat/self.mcut+1e-10 mHI = xx**self.alp * np.exp(-1/xx) mHI*= self.normsat return mHI def getinsat(self, mHIsat, satid, totalsize, localsize, comm): #print(comm.rank, np.all(np.diff(satid) >=0)) #diff = np.diff(satid) #if comm.rank == 260: # print(satid[:-1][diff <0], satid[1:][diff < 0]) da = DistributedArray(satid, comm) mHI = da.bincount(mHIsat, shared_edges=False) zerosize = totalsize - mHI.cshape[0] zeros = DistributedArray.cempty(cshape=(zerosize, ), dtype=mHI.local.dtype, comm=comm) zeros.local[...] = 0 mHItotal = DistributedArray.concat(mHI, zeros, localsize=localsize) return mHItotal def assigncen(self, mHIhalo, mHIsat, satid, censize, comm): #Assumes every halo has a central...which it does...usually mHItotal = self.getinsat(mHIsat, satid, censize, mHIhalo.size, comm) return mHIhalo - mHItotal.local def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = cencat['Position']+cencat['Velocity']*los * rsdfac srsdpos = satcat['Position']+satcat['Velocity']*los * rsdfac return hrsdpos, crsdpos, srsdpos def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of HI ''' pm = ParticleMesh(BoxSize=bs, Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm rankweight = sum([wt.sum() for wt in weights]) totweight = comm.allreduce(rankweight) for wt in weights: wt /= totweight/float(nc)**3 for i in range(len(positions)): lay = pm.decompose(positions[i]) mesh.paint(positions[i], mass=weights[i], layout=lay, hold=True) return mesh def createmesh_catalog(self, bs, nc, halocat, cencat, satcat, mode='galaxies', position='RSDpos', weight='HImass', tofield=False): '''use this to create mesh of HI ''' comm = halocat.comm if mode == 'halos': catalogs = [halocat] elif mode == 'galaxies': catalogs = [cencat, satcat] elif mode == 'all': catalogs = [halocat, cencat, satcat] else: print('Mode not recognized') rankweight = sum([cat[weight].sum().compute() for cat in catalogs]) totweight = comm.allreduce(rankweight) for cat in catalogs: cat[weight] /= totweight/float(nc)**3 allcat = MultipleSpeciesCatalog(['%d'%i for i in range(len(catalogs))], *catalogs) mesh = allcat.to_mesh(BoxSize=bs,Nmesh=[nc,nc,nc],\ position=position,weight=weight) if tofield: mesh = mesh.to_field() return mesh # ########################################### class ModelHI_A2(ModelHI_A): '''Same as model A with a different RSD for satellites ''' def __init__(self, aa): super().__init__(aa) def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = cencat['Position']+cencat['Velocity']*los * rsdfac srsdpos = satcat['Position']+satcat['Velocity_HI']*los * rsdfac return hrsdpos, crsdpos, srsdpos # ########################################### class ModelHI_B(): def __init__(self, aa, h=0.6776): self.aa = aa self.zz = 1/aa-1 self.h = h #self.mcut = 1e9*( 1.8 + 15*(3*self.aa)**8 ) self.mcut = 3e9*( 1 + 10*(3*self.aa)**8) self.normhalo = 1 #self.slope, self.intercept = np.polyfit([8.1, 11], [0.2, -1.], deg=1) def assignline(self, halocat, cencat, satcat): mHIsat = self.assignsat(satcat['Mass'].compute()) mHIcen = self.assigncen(cencat['Mass'].compute()) mHIhalo = self.assignhalo(mHIcen, mHIsat, satcat['GlobalID'].compute(), halocat.csize, halocat.comm) return mHIhalo, mHIcen, mHIsat def assignhalo(self, mHIcen, mHIsat, satid, hsize, comm): #Assumes every halo has a central...which it does...usually mHItotal = self.getinsat(mHIsat, satid, hsize, mHIcen.size, comm) return mHIcen + mHItotal.local def getinsat(self, mHIsat, satid, totalsize, localsize, comm): da = DistributedArray(satid, comm) mHI = da.bincount(mHIsat, shared_edges=False) zerosize = totalsize - mHI.cshape[0] zeros = DistributedArray.cempty(cshape=(zerosize, ), dtype=mHI.local.dtype, comm=comm) zeros.local[...] = 0 mHItotal = DistributedArray.concat(mHI, zeros, localsize=localsize) return mHItotal def _assign(self, mstellar): '''Takes in M_stellar and gives M_HI in M_solar ''' mm = 3e8 #5e7 f = 0.18 #0.35 alpha = 0.4 #0.35 mfrac = f*(mm/(mstellar + mm))**alpha mh1 = mstellar * mfrac return mh1 def assignsat(self, msat, scatter=None): mstellar = self.moster(msat, scatter=scatter)/self.h mh1 = self._assign(mstellar) mh1 = mh1*self.h #* np.exp(-self.mcut/msat) return mh1 def assigncen(self, mcen, scatter=None): mstellar = self.moster(mcen, scatter=scatter)/self.h mh1 = self._assign(mstellar) mh1 = mh1*self.h #* np.exp(-self.mcut/mcen) return mh1 def moster(self, Mhalo, scatter=None): """ moster(Minf,z): Returns the stellar mass (M*/h) given Minf and z from Table 1 and Eq. (2,11-14) of Moster++13 [1205.5807]. This version now works in terms of Msun/h units, convert to Msun units in the function To get "true" stellar mass, add 0.15 dex of lognormal scatter. To get "observed" stellar mass, add between 0.1-0.45 dex extra scatter. """ z = self.zz Minf = Mhalo/self.h zzp1 = z/(1+z) M1 = 10.0**(11.590+1.195*zzp1) mM = 0.0351 - 0.0247*zzp1 beta = 1.376 - 0.826*zzp1 gamma = 0.608 + 0.329*zzp1 Mstar = 2*mM/( (Minf/M1)**(-beta) + (Minf/M1)**gamma ) Mstar*= Minf if scatter is not None: Mstar = 10**(np.log10(Mstar) + np.random.normal(0, scatter, Mstar.size)) return Mstar*self.h # def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = cencat['Position']+cencat['Velocity']*los * rsdfac srsdpos = satcat['Position']+satcat['Velocity']*los * rsdfac return hrsdpos, crsdpos, srsdpos def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of HI ''' pm = ParticleMesh(BoxSize=bs,Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm rankweight = sum([wt.sum() for wt in weights]) totweight = comm.allreduce(rankweight) for wt in weights: wt /= totweight/float(nc)**3 for i in range(len(positions)): lay = pm.decompose(positions[i]) mesh.paint(positions[i], mass=weights[i], layout=lay, hold=True) return mesh def createmesh_catalog(self, bs, nc, halocat, cencat, satcat, mode='galaxies', position='RSDpos', weight='HImass', tofield=False): '''use this to create mesh of HI ''' comm = halocat.comm if mode == 'halos': catalogs = [halocat] elif mode == 'galaxies': catalogs = [cencat, satcat] elif mode == 'all': catalogs = [halocat, cencat, satcat] else: print('Mode not recognized') rankweight = sum([cat[weight].sum().compute() for cat in catalogs]) totweight = comm.allreduce(rankweight) for cat in catalogs: cat[weight] /= totweight/float(nc)**3 allcat = MultipleSpeciesCatalog(['%d'%i for i in range(len(catalogs))], *catalogs) mesh = allcat.to_mesh(BoxSize=bs,Nmesh=[nc,nc,nc],\ position=position,weight=weight) if tofield: mesh = mesh.to_field() return mesh # ########################################### class ModelHI_C(ModelHI_A): '''Vanilla model with no centrals and satellites, only halo Halos have the COM velocity but do not have any dispersion over it ''' def __init__(self, aa): super().__init__(aa) self.normsat = 0 #self.alp = 1.0 #self.mcut = 1e9 #self.normhalo = 2e5*(1+3/self.zz**2) #self.normhalo = 1.1e5*(1+4/self.zz) self.alp = 0.9 self.mcut = 1e10 self.normhalo = 3.5e6*(1+1/self.zz) def derivate(self, param, delta): if param == 'alpha': self.alp = (1+delta)*self.alp elif param == 'mcut': self.mcut = 10**( (1+delta)*np.log10(self.mcut)) elif param == 'norm': self.mcut = 10**( (1+delta)*np.log10(self.normhalo)) else: print('Parameter to vary not recongnized. Should be "alpha", "mcut" or "norm"') def assignline(self, halocat, cencat, satcat): mHIhalo = self.assignhalo(halocat['Mass'].compute()) mHIsat = self.assignsat(satcat['Mass'].compute()) mHIcen = self.assigncen(cencat['Mass'].compute()) return mHIhalo, mHIcen, mHIsat def assignsat(self, msat): return msat*0 def assigncen(self, mcen): return mcen*0 def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of HI ''' pm = ParticleMesh(BoxSize=bs,Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm rankweight = sum([wt.sum() for wt in weights]) totweight = comm.allreduce(rankweight) for wt in weights: wt /= totweight/float(nc)**3 for i in range(len(positions)): lay = pm.decompose(positions[i]) mesh.paint(positions[i], mass=weights[i], layout=lay, hold=True) return mesh def createmesh_catalog(self, bs, nc, halocat, cencat, satcat, mode='halos', position='RSDpos', weight='HImass', tofield=False): '''use this to create mesh of HI ''' comm = halocat.comm if mode == 'halos': catalogs = [halocat] else: print('Mode not recognized') rankweight = sum([cat[weight].sum().compute() for cat in catalogs]) totweight = comm.allreduce(rankweight) for cat in catalogs: cat[weight] /= totweight/float(nc)**3 allcat = MultipleSpeciesCatalog(['%d'%i for i in range(len(catalogs))], *catalogs) mesh = allcat.to_mesh(BoxSize=bs,Nmesh=[nc,nc,nc],\ position=position,weight=weight) if tofield: mesh = mesh.to_field() return mesh # ########################################### class ModelHI_C2(ModelHI_C): '''Vanilla model with no centrals and satellites, only halo Halos have the COM velocity and a dispersion from VN18 added over it ''' def __init__(self, aa): super().__init__(aa) self.vdisp = self._setupvdisp() def _setupvdisp(self): vzdisp0 = np.array([31, 34, 39, 44, 51, 54]) vzdispal = np.array([0.35, 0.37, 0.38, 0.39, 0.39, 0.40]) vdispz = np.arange(0, 6) vdisp0fit = np.polyfit(vdispz, vzdisp0, 1) vdispalfit = np.polyfit(vdispz, vzdispal, 1) vdisp0 = self.zz * vdisp0fit[0] + vdisp0fit[1] vdispal = self.zz * vdispalfit[0] + vdispalfit[1] return lambda M: vdisp0*(M/1e10)**vdispal def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): dispersion = np.random.normal(0, self.vdisp(halocat['Mass'].compute())).reshape(-1, 1) hvel = halocat['Velocity']*los + dispersion*los hrsdpos = halocat['Position']+ hvel*rsdfac crsdpos = cencat['Position']+cencat['Velocity']*los * rsdfac srsdpos = satcat['Position']+satcat['Velocity']*los * rsdfac return hrsdpos, crsdpos, srsdpos # ########################################### class ModelHI_D(): '''Vanilla model with no centrals and satellites, only halo Halos have the COM velocity and a dispersion from VN18 added over it ''' def __init__(self, aa): self.aa = aa self.zz = 1/aa-1 self.alp = (1.+2*self.zz)/(2.+2*self.zz) self.mcut = 6e10*np.exp(-0.75*self.zz) + 1 self.normhalo = 1.7e9/(1+self.zz)**(5./3.) self.nsatfhalo = 0.1 def fsat_h1(self, mhalo): logmass = np.log10(mhalo) mminf = 9.5 #10 - 0.2*self.zz mhalf = 12.8 #13 - 0.1*self.zz fsat = 0.5/(mhalf-mminf)**2 * (logmass-mminf)**2 fsat[logmass < mminf] = 0 fsat[fsat > 0.8] = 0.8 return fsat def nsat_h1(self, mhalo): return ((1 + self.nsatfhalo*mhalo / self.mcut)**0.5).astype(int) #2 #int(mhalo*0 + 2) def vdisp(self, mhalo): h = cosmo.efunc(self.zz) return 1100. * (h * mhalo / 1e15) ** 0.33333 def assignline(self, halocat, cencat, satcat): if halocat.comm.rank == 0: if cencat is not None: print("\nCencat not used") if satcat is not None: print("\nSatcat not used") mHIhalo = self.assignhalo(halocat['Mass'].compute()) mHIsat = self.assignsat(halocat['Mass'].compute(), mHIhalo) mHIcen = self.assigncen(mHIhalo, mHIsat) #now repeat satellite catalog and reduce mass nsat = self.nsat_h1(halocat['Mass'].compute()) mHIsat = np.repeat(mHIsat/nsat, nsat, axis=0) return mHIhalo, mHIcen, mHIsat def assignhalo(self, mhalo): xx = (mhalo + 1e-30)/self.mcut+1e-10 mHI = xx**self.alp * np.exp(-1.0/xx) mHI*= self.normhalo return mHI def assignsat(self, mhalo, mh1halo): frac = self.fsat_h1(mhalo) mHI = mh1halo*frac return mHI def assigncen(self, mHIhalo, mHIsat): #Assumes every halo has a central...which it does...usually return mHIhalo - mHIsat def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = hrsdpos #cencat['Position']+cencat['Velocity']*los * rsdfac #now satellites nsat = self.nsat_h1(halocat['Mass'].compute()) dispersion = np.random.normal(0, np.repeat(self.vdisp(halocat['Mass'].compute()), nsat)).reshape(-1, 1)*los hvel = np.repeat(halocat['Velocity'].compute(), nsat, axis=0)*los hveldisp = hvel + dispersion srsdpos = np.repeat(halocat['Position'].compute(), nsat, axis=0) + hveldisp*rsdfac return hrsdpos, crsdpos, srsdpos def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of HI ''' pm = ParticleMesh(BoxSize=bs,Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm rankweight = sum([wt.sum() for wt in weights]) totweight = comm.allreduce(rankweight) for wt in weights: wt /= totweight/float(nc)**3 for i in range(len(positions)): lay = pm.decompose(positions[i]) mesh.paint(positions[i], mass=weights[i], layout=lay, hold=True) return mesh # ########################################### class ModelHI_D2(): '''Vanilla model with no centrals and satellites, only halo Halos have the COM velocity and a dispersion from VN18 added over it ''' def __init__(self, aa): self.aa = aa self.zz = 1/aa-1 self.alp = (1.+2*self.zz)/(2.+2*self.zz) self.mcut = 6e10*np.exp(-0.75*self.zz) + 1 self.normhalo = 1.7e9/(1+self.zz)**(5./3.) self.nsat = 10 def fsat_h1(self, mhalo): logmass = np.log10(mhalo) mminf = 9.5 #10 - 0.2*self.zz mhalf = 12.8 #13 - 0.1*self.zz fsat = 0.5/(mhalf-mminf)**2 * (logmass-mminf)**2 fsat[logmass < mminf] = 0 fsat[fsat > 0.8] = 0.8 return fsat def nsat_h1(self, mhalo): return 2 #int(mhalo*0 + 2) def vdisp(self, mhalo): h = cosmo.efunc(self.zz) return 1100. * (h * mhalo / 1e15) ** 0.33333 def assignline(self, halocat, cencat, satcat): if halocat.comm.rank == 0: if cencat is not None: print("\nCencat not used") if satcat is not None: print("\nSatcat not used") mHIhalo = self.assignhalo(halocat['Mass'].compute()) mHIsat = self.assignsat(halocat['Mass'].compute(), mHIhalo) mHIcen = self.assigncen(mHIhalo, mHIsat) return mHIhalo, mHIcen, mHIsat def assignhalo(self, mhalo): xx = (mhalo + 1e-30)/self.mcut+1e-10 mHI = xx**self.alp * np.exp(-1.0/xx) mHI*= self.normhalo return mHI def assignsat(self, mhalo, mh1halo): frac = self.fsat_h1(mhalo) mHI = mh1halo*frac return mHI def assigncen(self, mHIhalo, mHIsat): #Assumes every halo has a central...which it does...usually return mHIhalo - mHIsat def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = hrsdpos #now for satellites, return only the dispersion and factor it into account while painting srsdpos = self.vdisp(halocat['Mass'].compute()).reshape(-1, 1)*los * rsdfac return hrsdpos, crsdpos, srsdpos def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of HI ''' pm = ParticleMesh(BoxSize=bs,Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm rankweight = sum([wt.sum() for wt in weights]) totweight = comm.allreduce(rankweight) for wt in weights: wt /= totweight/float(nc)**3 lay = pm.decompose(positions[0]) mesh.paint(positions[0], mass=weights[0], layout=lay, hold=True) if len(positions) > 1: for i in range(self.nsat): shift = np.random.normal(0, positions[1]) pos = positions[0] + shift lay = pm.decompose(pos) mesh.paint(pos, mass=weights[1]/self.nsat, layout=lay, hold=True) return mesh # ########################################### class ModelCII_A(): def __init__(self, aa): self.aa = aa self.zz = 1./aa - 1. self.mcut = 1.0e9 self.nu_line = 1902e9 self.L_fac = 1e6 / (8.*np.pi*gb_k_B*H(self.zz)) * (gb_c/self.nu_line)**3. * (1.+self.zz)**2. * gb_len_conv**-2. * gb_L_sun * gb_h**3. self.a_CII = 0.8475 self.b_CII = 7.2203 def assignline(self, halocat, cencat, satcat): haloL = self.assignhalo(halocat['Mass'].compute()) satL = self.assignsat(satcat['Mass'].compute()) cenL = self.assigncen(cencat['Mass'].compute()) return haloL, satL, cenL def assignhalo(self, mhalo): logMhalo = np.log10(mhalo[self.mcut < mhalo]/gb_h) logSFR = logSFR_Behroozi(z=self.zz, logMList=logMhalo) lCII = np.power(10., self.a_CII * logSFR + self.b_CII) * np.power(10., 0.37*np.random.randn(len(logMhalo))) # log10(L) = a*log10(SFR) + b + Normal(0, 0.37) lCII[logSFR == -1000.] = 0. return self.L_fac * lCII def assignsat(self, msat): return msat*0 def assigncen(self, mcen): return mcen*0 def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = cencat['Position']+cencat['Velocity']*los * rsdfac srsdpos = satcat['Position']+satcat['Velocity']*los * rsdfac return hrsdpos, crsdpos, srsdpos def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of the Line ''' pm = ParticleMesh(BoxSize=bs, Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm # rankweight = sum([wt.sum() for wt in weights]) # totweight = comm.allreduce(rankweight) # for wt in weights: wt /= totweight/float(nc)**3 for i in range(len(positions)): lay = pm.decompose(positions[i]) mesh.paint(positions[i], mass=weights[i], layout=lay, hold=True) # mesh = mesh/mesh.cmean() return mesh def createmesh_catalog(self, bs, nc, halocat, cencat, satcat, mode='galaxies', position='RSDpos', weight='HImass', tofield=False): '''use this to create mesh of the Line ''' comm = halocat.comm if mode == 'halos': catalogs = [halocat] elif mode == 'galaxies': catalogs = [cencat, satcat] elif mode == 'all': catalogs = [halocat, cencat, satcat] else: print('Mode not recognized') rankweight = sum([cat[weight].sum().compute() for cat in catalogs]) totweight = comm.allreduce(rankweight) for cat in catalogs: cat[weight] /= totweight/float(nc)**3 allcat = MultipleSpeciesCatalog(['%d'%i for i in range(len(catalogs))], *catalogs) mesh = allcat.to_mesh(BoxSize=bs, Nmesh=[nc,nc,nc], position=position, weight=weight) if tofield: mesh = mesh.to_field() return mesh # ########################################### class ModelCII_B(): def __init__(self, aa): self.aa = aa self.zz = 1./aa - 1. self.mcut = 1.0e9 self.nu_line = 1902e9 self.L_fac = 1e6 / (8.*np.pi*gb_k_B*H(self.zz)) * (gb_c/self.nu_line)**3. * (1.+self.zz)**2. * gb_len_conv**-2. * gb_L_sun * gb_h**3. self.a_CII = 1.0000 self.b_CII = 6.9647 def assignline(self, halocat, cencat, satcat): haloL = self.assignhalo(halocat['Mass'].compute()) satL = self.assignsat(satcat['Mass'].compute()) cenL = self.assigncen(cencat['Mass'].compute()) return haloL, satL, cenL def assignhalo(self, mhalo): logMhalo = np.log10(mhalo[self.mcut < mhalo]/gb_h) logSFR = logSFR_Behroozi(z=self.zz, logMList=logMhalo) lCII = np.power(10., self.a_CII * logSFR + self.b_CII) * np.power(10., 0.37*np.random.randn(len(logMhalo))) lCII[logSFR == -1000.] = 0. return self.L_fac * lCII def assignsat(self, msat): return msat*0 def assigncen(self, mcen): return mcen*0 def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = cencat['Position']+cencat['Velocity']*los * rsdfac srsdpos = satcat['Position']+satcat['Velocity']*los * rsdfac return hrsdpos, crsdpos, srsdpos def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of Line ''' pm = ParticleMesh(BoxSize=bs, Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm # rankweight = sum([wt.sum() for wt in weights]) # totweight = comm.allreduce(rankweight) # for wt in weights: wt /= totweight/float(nc)**3 for i in range(len(positions)): lay = pm.decompose(positions[i]) mesh.paint(positions[i], mass=weights[i], layout=lay, hold=True) return mesh def createmesh_catalog(self, bs, nc, halocat, cencat, satcat, mode='galaxies', position='RSDpos', weight='HImass', tofield=False): '''use this to create mesh of HI ''' comm = halocat.comm if mode == 'halos': catalogs = [halocat] elif mode == 'galaxies': catalogs = [cencat, satcat] elif mode == 'all': catalogs = [halocat, cencat, satcat] else: print('Mode not recognized') rankweight = sum([cat[weight].sum().compute() for cat in catalogs]) totweight = comm.allreduce(rankweight) for cat in catalogs: cat[weight] /= totweight/float(nc)**3 allcat = MultipleSpeciesCatalog(['%d'%i for i in range(len(catalogs))], *catalogs) mesh = allcat.to_mesh(BoxSize=bs,Nmesh=[nc,nc,nc],\ position=position,weight=weight) if tofield: mesh = mesh.to_field() return mesh # ########################################### class ModelCII_C(): def __init__(self, aa): self.aa = aa self.zz = 1./aa - 1. self.mcut = 1.0e9 self.nu_line = 1902e9 self.L_fac = 1e6 / (8.*np.pi*gb_k_B*H(self.zz)) * (gb_c/self.nu_line)**3. * (1.+self.zz)**2. * gb_len_conv**-2. * gb_L_sun * gb_h**3. self.a_CII = 0.8727 self.b_CII = 6.7250 def assignline(self, halocat, cencat, satcat): haloL = self.assignhalo(halocat['Mass'].compute()) satL = self.assignsat(satcat['Mass'].compute()) cenL = self.assigncen(cencat['Mass'].compute()) return haloL, satL, cenL def assignhalo(self, mhalo): logMhalo = np.log10(mhalo[self.mcut < mhalo]/gb_h) logSFR = logSFR_Behroozi(z=self.zz, logMList=logMhalo) lCII = np.power(10., self.a_CII * logSFR + self.b_CII) * np.power(10., 0.37*np.random.randn(len(logMhalo))) lCII[logSFR == -1000.] = 0. return self.L_fac * lCII def assignsat(self, msat): return msat*0 def assigncen(self, mcen): return mcen*0 def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = cencat['Position']+cencat['Velocity']*los * rsdfac srsdpos = satcat['Position']+satcat['Velocity']*los * rsdfac return hrsdpos, crsdpos, srsdpos def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of Line ''' pm = ParticleMesh(BoxSize=bs, Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm # rankweight = sum([wt.sum() for wt in weights]) # totweight = comm.allreduce(rankweight) # for wt in weights: wt /= totweight/float(nc)**3 for i in range(len(positions)): lay = pm.decompose(positions[i]) mesh.paint(positions[i], mass=weights[i], layout=lay, hold=True) return mesh def createmesh_catalog(self, bs, nc, halocat, cencat, satcat, mode='galaxies', position='RSDpos', weight='HImass', tofield=False): '''use this to create mesh of HI ''' comm = halocat.comm if mode == 'halos': catalogs = [halocat] elif mode == 'galaxies': catalogs = [cencat, satcat] elif mode == 'all': catalogs = [halocat, cencat, satcat] else: print('Mode not recognized') rankweight = sum([cat[weight].sum().compute() for cat in catalogs]) totweight = comm.allreduce(rankweight) for cat in catalogs: cat[weight] /= totweight/float(nc)**3 allcat = MultipleSpeciesCatalog(['%d'%i for i in range(len(catalogs))], *catalogs) mesh = allcat.to_mesh(BoxSize=bs,Nmesh=[nc,nc,nc],\ position=position,weight=weight) if tofield: mesh = mesh.to_field() return mesh # ########################################### class ModelCII_D(): def __init__(self, aa): self.aa = aa self.zz = 1./aa - 1. self.mcut = 1.0e9 self.nu_line = 1902e9 self.L_fac = 1e6 / (8.*np.pi*gb_k_B*H(self.zz)) * (gb_c/self.nu_line)**3. * (1.+self.zz)**2. * gb_len_conv**-2. * gb_L_sun * gb_h**3. self.a_CII = 0.9231 self.b_CII = 6.5234 def assignline(self, halocat, cencat, satcat): haloL = self.assignhalo(halocat['Mass'].compute()) satL = self.assignsat(satcat['Mass'].compute()) cenL = self.assigncen(cencat['Mass'].compute()) return haloL, satL, cenL def assignhalo(self, mhalo): logMhalo = np.log10(mhalo[self.mcut < mhalo]/gb_h) logSFR = logSFR_Behroozi(z=self.zz, logMList=logMhalo) lCII = np.power(10., self.a_CII * logSFR + self.b_CII) * np.power(10., 0.37*np.random.randn(len(logMhalo))) lCII[logSFR == -1000.] = 0. return self.L_fac * lCII def assignsat(self, msat): return msat*0 def assigncen(self, mcen): return mcen*0 def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = cencat['Position']+cencat['Velocity']*los * rsdfac srsdpos = satcat['Position']+satcat['Velocity']*los * rsdfac return hrsdpos, crsdpos, srsdpos def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of Line ''' pm = ParticleMesh(BoxSize=bs, Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm # rankweight = sum([wt.sum() for wt in weights]) # totweight = comm.allreduce(rankweight) # for wt in weights: wt /= totweight/float(nc)**3 for i in range(len(positions)): lay = pm.decompose(positions[i]) mesh.paint(positions[i], mass=weights[i], layout=lay, hold=True) return mesh def createmesh_catalog(self, bs, nc, halocat, cencat, satcat, mode='galaxies', position='RSDpos', weight='HImass', tofield=False): '''use this to create mesh of HI ''' comm = halocat.comm if mode == 'halos': catalogs = [halocat] elif mode == 'galaxies': catalogs = [cencat, satcat] elif mode == 'all': catalogs = [halocat, cencat, satcat] else: print('Mode not recognized') rankweight = sum([cat[weight].sum().compute() for cat in catalogs]) totweight = comm.allreduce(rankweight) for cat in catalogs: cat[weight] /= totweight/float(nc)**3 allcat = MultipleSpeciesCatalog(['%d'%i for i in range(len(catalogs))], *catalogs) mesh = allcat.to_mesh(BoxSize=bs,Nmesh=[nc,nc,nc],\ position=position,weight=weight) if tofield: mesh = mesh.to_field() return mesh # ########################################### class ModelCO10(): def __init__(self, aa): self.aa = aa self.zz = 1./aa - 1. self.mcut = 1.0e9 self.delta_MF = 1.0 self.J = 1.0 self.nu_line = self.J*115.27e9 # in unit of Hz for CO self.L_fac = 1e6 / (8.*np.pi*gb_k_B*H(self.zz)) * (gb_c/self.nu_line)**3. * (1.+self.zz)**2. * gb_len_conv**-2. * gb_L_sun * gb_h**3. self.a_CO = 1.27 self.b_CO = -1.0 def assignline(self, halocat, cencat, satcat): haloL = self.assignhalo(halocat['Mass'].compute()) satL = self.assignsat(satcat['Mass'].compute()) cenL = self.assigncen(cencat['Mass'].compute()) return haloL, satL, cenL def assignhalo(self, mhalo): logMhalo = np.log10(mhalo[self.mcut < mhalo]/gb_h) logSFR = logSFR_Behroozi(z=self.zz, logMList=logMhalo) L_IR = np.power(10., logSFR)/self.delta_MF * np.power(10., 10.) L_IR[logSFR == -1000.] = 0. Lprime_CO = np.power(10., (np.log10(L_IR)-self.b_CO)/self.a_CO) * np.power(10., 0.37*np.random.randn(len(logMhalo))) #in unit of K km/s pc^2 #log10(LCO_prime) = (log10(L_IR) - b) / a + Normal(0, 0.37) L_CO = 4.9 * 1.0e-5 * self.J**3. * Lprime_CO #in unit of L_sun return self.L_fac * L_CO def assignsat(self, msat): return msat*0 def assigncen(self, mcen): return mcen*0 def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = cencat['Position']+cencat['Velocity']*los * rsdfac srsdpos = satcat['Position']+satcat['Velocity']*los * rsdfac return hrsdpos, crsdpos, srsdpos def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of the Line ''' pm = ParticleMesh(BoxSize=bs, Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm # rankweight = sum([wt.sum() for wt in weights]) # totweight = comm.allreduce(rankweight) # for wt in weights: wt /= totweight/float(nc)**3 for i in range(len(positions)): lay = pm.decompose(positions[i]) mesh.paint(positions[i], mass=weights[i], layout=lay, hold=True) # mesh = mesh/mesh.cmean() return mesh def createmesh_catalog(self, bs, nc, halocat, cencat, satcat, mode='galaxies', position='RSDpos', weight='HImass', tofield=False): '''use this to create mesh of HI ''' comm = halocat.comm if mode == 'halos': catalogs = [halocat] elif mode == 'galaxies': catalogs = [cencat, satcat] elif mode == 'all': catalogs = [halocat, cencat, satcat] else: print('Mode not recognized') rankweight = sum([cat[weight].sum().compute() for cat in catalogs]) totweight = comm.allreduce(rankweight) for cat in catalogs: cat[weight] /= totweight/float(nc)**3 allcat = MultipleSpeciesCatalog(['%d'%i for i in range(len(catalogs))], *catalogs) mesh = allcat.to_mesh(BoxSize=bs,Nmesh=[nc,nc,nc],\ position=position,weight=weight) if tofield: mesh = mesh.to_field() return mesh # ########################################### class ModelCO21(): def __init__(self, aa): self.aa = aa self.zz = 1./aa - 1. self.mcut = 1.0e9 self.delta_MF = 1.0 self.J = 2.0 self.nu_line = self.J*115.27e9 # in unit of Hz for CO self.L_fac = 1e6 / (8.*np.pi*gb_k_B*H(self.zz)) * (gb_c/self.nu_line)**3. * (1.+self.zz)**2. * gb_len_conv**-2. * gb_L_sun * gb_h**3. self.a_CO = 1.11 self.b_CO = 0.6 def assignline(self, halocat, cencat, satcat): haloL = self.assignhalo(halocat['Mass'].compute()) satL = self.assignsat(satcat['Mass'].compute()) cenL = self.assigncen(cencat['Mass'].compute()) return haloL, satL, cenL def assignhalo(self, mhalo): logMhalo = np.log10(mhalo[self.mcut < mhalo]/gb_h) logSFR = logSFR_Behroozi(z=self.zz, logMList=logMhalo) L_IR = np.power(10., logSFR)/self.delta_MF * np.power(10., 10.) L_IR[logSFR == -1000.] = 0. Lprime_CO = np.power(10., (np.log10(L_IR)-self.b_CO)/self.a_CO) * np.power(10., 0.37*np.random.randn(len(logMhalo))) #log10(LCO_prime) = (log10(L_IR) - b)/a + Normal(0, 0.37) #in unit of K km/s pc^2 L_CO = 4.9 * 1.0e-5 * self.J**3. * Lprime_CO #in unit of L_sun return self.L_fac * L_CO def assignsat(self, msat): return msat*0 def assigncen(self, mcen): return mcen*0 def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = cencat['Position']+cencat['Velocity']*los * rsdfac srsdpos = satcat['Position']+satcat['Velocity']*los * rsdfac return hrsdpos, crsdpos, srsdpos def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of Line ''' pm = ParticleMesh(BoxSize=bs, Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm # rankweight = sum([wt.sum() for wt in weights]) # totweight = comm.allreduce(rankweight) # for wt in weights: wt /= totweight/float(nc)**3 for i in range(len(positions)): lay = pm.decompose(positions[i]) mesh.paint(positions[i], mass=weights[i], layout=lay, hold=True) return mesh def createmesh_catalog(self, bs, nc, halocat, cencat, satcat, mode='galaxies', position='RSDpos', weight='HImass', tofield=False): '''use this to create mesh of HI ''' comm = halocat.comm if mode == 'halos': catalogs = [halocat] elif mode == 'galaxies': catalogs = [cencat, satcat] elif mode == 'all': catalogs = [halocat, cencat, satcat] else: print('Mode not recognized') rankweight = sum([cat[weight].sum().compute() for cat in catalogs]) totweight = comm.allreduce(rankweight) for cat in catalogs: cat[weight] /= totweight/float(nc)**3 allcat = MultipleSpeciesCatalog(['%d'%i for i in range(len(catalogs))], *catalogs) mesh = allcat.to_mesh(BoxSize=bs,Nmesh=[nc,nc,nc],\ position=position,weight=weight) if tofield: mesh = mesh.to_field() return mesh # ########################################### class ModelCO32(): def __init__(self, aa): self.aa = aa self.zz = 1./aa - 1. self.mcut = 1.0e9 self.delta_MF = 1.0 self.J = 3.0 self.nu_line = self.J*115.27e9 # in unit of Hz for CO self.L_fac = 1e6 / (8.*np.pi*gb_k_B*H(self.zz)) * (gb_c/self.nu_line)**3. * (1.+self.zz)**2. * gb_len_conv**-2. * gb_L_sun * gb_h**3. self.a_CO = 1.18 self.b_CO = 0.1 def assignline(self, halocat, cencat, satcat): haloL = self.assignhalo(halocat['Mass'].compute()) satL = self.assignsat(satcat['Mass'].compute()) cenL = self.assigncen(cencat['Mass'].compute()) return haloL, satL, cenL def assignhalo(self, mhalo): logMhalo = np.log10(mhalo[self.mcut < mhalo]/gb_h) logSFR = logSFR_Behroozi(z=self.zz, logMList=logMhalo) L_IR = np.power(10., logSFR)/self.delta_MF * np.power(10., 10.) L_IR[logSFR == -1000.] = 0. Lprime_CO = np.power(10., (np.log10(L_IR)-self.b_CO)/self.a_CO) * np.power(10., 0.37*np.random.randn(len(logMhalo))) #in unit of K km/s pc^2 L_CO = 4.9 * 1.0e-5 * self.J**3. * Lprime_CO #in unit of L_sun return self.L_fac * L_CO def assignsat(self, msat): return msat*0 def assigncen(self, mcen): return mcen*0 def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = cencat['Position']+cencat['Velocity']*los * rsdfac srsdpos = satcat['Position']+satcat['Velocity']*los * rsdfac return hrsdpos, crsdpos, srsdpos def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of Line ''' pm = ParticleMesh(BoxSize=bs, Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm # rankweight = sum([wt.sum() for wt in weights]) # totweight = comm.allreduce(rankweight) # for wt in weights: wt /= totweight/float(nc)**3 for i in range(len(positions)): lay = pm.decompose(positions[i]) mesh.paint(positions[i], mass=weights[i], layout=lay, hold=True) return mesh def createmesh_catalog(self, bs, nc, halocat, cencat, satcat, mode='galaxies', position='RSDpos', weight='HImass', tofield=False): '''use this to create mesh of HI ''' comm = halocat.comm if mode == 'halos': catalogs = [halocat] elif mode == 'galaxies': catalogs = [cencat, satcat] elif mode == 'all': catalogs = [halocat, cencat, satcat] else: print('Mode not recognized') rankweight = sum([cat[weight].sum().compute() for cat in catalogs]) totweight = comm.allreduce(rankweight) for cat in catalogs: cat[weight] /= totweight/float(nc)**3 allcat = MultipleSpeciesCatalog(['%d'%i for i in range(len(catalogs))], *catalogs) mesh = allcat.to_mesh(BoxSize=bs,Nmesh=[nc,nc,nc],\ position=position,weight=weight) if tofield: mesh = mesh.to_field() return mesh # ########################################### class ModelCO43(): def __init__(self, aa): self.aa = aa self.zz = 1./aa - 1. self.mcut = 1.0e9 self.delta_MF = 1.0 self.J = 4.0 self.nu_line = self.J*115.27e9 # in unit of Hz for CO self.L_fac = 1e6 / (8.*np.pi*gb_k_B*H(self.zz)) * (gb_c/self.nu_line)**3. * (1.+self.zz)**2. * gb_len_conv**-2. * gb_L_sun * gb_h**3. self.a_CO = 1.09 self.b_CO = 1.2 def assignline(self, halocat, cencat, satcat): haloL = self.assignhalo(halocat['Mass'].compute()) satL = self.assignsat(satcat['Mass'].compute()) cenL = self.assigncen(cencat['Mass'].compute()) return haloL, satL, cenL def assignhalo(self, mhalo): logMhalo = np.log10(mhalo[self.mcut < mhalo]/gb_h) logSFR = logSFR_Behroozi(z=self.zz, logMList=logMhalo) L_IR = np.power(10., logSFR)/self.delta_MF * np.power(10., 10.) L_IR[logSFR == -1000.] = 0. Lprime_CO = np.power(10., (np.log10(L_IR)-self.b_CO)/self.a_CO) * np.power(10., 0.37*np.random.randn(len(logMhalo))) #in unit of K km/s pc^2 L_CO = 4.9 * 1.0e-5 * self.J**3. * Lprime_CO #in unit of L_sun return self.L_fac * L_CO def assignsat(self, msat): return msat*0 def assigncen(self, mcen): return mcen*0 def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = cencat['Position']+cencat['Velocity']*los * rsdfac srsdpos = satcat['Position']+satcat['Velocity']*los * rsdfac return hrsdpos, crsdpos, srsdpos def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of Line ''' pm = ParticleMesh(BoxSize=bs, Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm # rankweight = sum([wt.sum() for wt in weights]) # totweight = comm.allreduce(rankweight) # for wt in weights: wt /= totweight/float(nc)**3 for i in range(len(positions)): lay = pm.decompose(positions[i]) mesh.paint(positions[i], mass=weights[i], layout=lay, hold=True) return mesh def createmesh_catalog(self, bs, nc, halocat, cencat, satcat, mode='galaxies', position='RSDpos', weight='HImass', tofield=False): '''use this to create mesh of HI ''' comm = halocat.comm if mode == 'halos': catalogs = [halocat] elif mode == 'galaxies': catalogs = [cencat, satcat] elif mode == 'all': catalogs = [halocat, cencat, satcat] else: print('Mode not recognized') rankweight = sum([cat[weight].sum().compute() for cat in catalogs]) totweight = comm.allreduce(rankweight) for cat in catalogs: cat[weight] /= totweight/float(nc)**3 allcat = MultipleSpeciesCatalog(['%d'%i for i in range(len(catalogs))], *catalogs) mesh = allcat.to_mesh(BoxSize=bs,Nmesh=[nc,nc,nc],\ position=position,weight=weight) if tofield: mesh = mesh.to_field() return mesh # ########################################### class ModelCO54(): def __init__(self, aa): self.aa = aa self.zz = 1./aa - 1. self.mcut = 1.0e9 self.delta_MF = 1.0 self.J = 5.0 self.nu_line = self.J*115.27e9 # in unit of Hz for CO self.L_fac = 1e6 / (8.*np.pi*gb_k_B*H(self.zz)) * (gb_c/self.nu_line)**3. * (1.+self.zz)**2. * gb_len_conv**-2. * gb_L_sun * gb_h**3. self.a_CO = 1.05 self.b_CO = 1.8 def assignline(self, halocat, cencat, satcat): haloL = self.assignhalo(halocat['Mass'].compute()) satL = self.assignsat(satcat['Mass'].compute()) cenL = self.assigncen(cencat['Mass'].compute()) return haloL, satL, cenL def assignhalo(self, mhalo): logMhalo = np.log10(mhalo[self.mcut < mhalo]/gb_h) logSFR = logSFR_Behroozi(z=self.zz, logMList=logMhalo) L_IR = np.power(10., logSFR)/self.delta_MF * np.power(10., 10.) L_IR[logSFR == -1000.] = 0. Lprime_CO = np.power(10., (np.log10(L_IR)-self.b_CO)/self.a_CO) * np.power(10., 0.37*np.random.randn(len(logMhalo))) #in unit of K km/s pc^2 L_CO = 4.9 * 1.0e-5 * self.J**3. * Lprime_CO #in unit of L_sun return self.L_fac * L_CO def assignsat(self, msat): return msat*0 def assigncen(self, mcen): return mcen*0 def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = cencat['Position']+cencat['Velocity']*los * rsdfac srsdpos = satcat['Position']+satcat['Velocity']*los * rsdfac return hrsdpos, crsdpos, srsdpos def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of Line ''' pm = ParticleMesh(BoxSize=bs, Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm # rankweight = sum([wt.sum() for wt in weights]) # totweight = comm.allreduce(rankweight) # for wt in weights: wt /= totweight/float(nc)**3 for i in range(len(positions)): lay = pm.decompose(positions[i]) mesh.paint(positions[i], mass=weights[i], layout=lay, hold=True) return mesh def createmesh_catalog(self, bs, nc, halocat, cencat, satcat, mode='galaxies', position='RSDpos', weight='HImass', tofield=False): '''use this to create mesh of HI ''' comm = halocat.comm if mode == 'halos': catalogs = [halocat] elif mode == 'galaxies': catalogs = [cencat, satcat] elif mode == 'all': catalogs = [halocat, cencat, satcat] else: print('Mode not recognized') rankweight = sum([cat[weight].sum().compute() for cat in catalogs]) totweight = comm.allreduce(rankweight) for cat in catalogs: cat[weight] /= totweight/float(nc)**3 allcat = MultipleSpeciesCatalog(['%d'%i for i in range(len(catalogs))], *catalogs) mesh = allcat.to_mesh(BoxSize=bs,Nmesh=[nc,nc,nc],\ position=position,weight=weight) if tofield: mesh = mesh.to_field() return mesh # ########################################### class ModelCO65(): def __init__(self, aa): self.aa = aa self.zz = 1./aa - 1. self.mcut = 1.0e9 self.delta_MF = 1.0 self.J = 6.0 self.nu_line = self.J*115.27e9 # in unit of Hz for CO self.L_fac = 1e6 / (8.*np.pi*gb_k_B*H(self.zz)) * (gb_c/self.nu_line)**3. * (1.+self.zz)**2. * gb_len_conv**-2. * gb_L_sun * gb_h**3. self.a_CO = 1.04 self.b_CO = 2.2 def assignline(self, halocat, cencat, satcat): haloL = self.assignhalo(halocat['Mass'].compute()) satL = self.assignsat(satcat['Mass'].compute()) cenL = self.assigncen(cencat['Mass'].compute()) return haloL, satL, cenL def assignhalo(self, mhalo): logMhalo = np.log10(mhalo[self.mcut < mhalo]/gb_h) logSFR = logSFR_Behroozi(z=self.zz, logMList=logMhalo) L_IR = np.power(10., logSFR)/self.delta_MF * np.power(10., 10.) L_IR[logSFR == -1000.] = 0. Lprime_CO = np.power(10., (np.log10(L_IR)-self.b_CO)/self.a_CO) * np.power(10., 0.37*np.random.randn(len(logMhalo))) #in unit of K km/s pc^2 L_CO = 4.9 * 1.0e-5 * self.J**3. * Lprime_CO #in unit of L_sun return self.L_fac * L_CO def assignsat(self, msat): return msat*0 def assigncen(self, mcen): return mcen*0 def assignrsd(self, rsdfac, halocat, cencat, satcat, los=[0,0,1]): hrsdpos = halocat['Position']+halocat['Velocity']*los * rsdfac crsdpos = cencat['Position']+cencat['Velocity']*los * rsdfac srsdpos = satcat['Position']+satcat['Velocity']*los * rsdfac return hrsdpos, crsdpos, srsdpos def createmesh(self, bs, nc, positions, weights): '''use this to create mesh of Line ''' pm = ParticleMesh(BoxSize=bs, Nmesh=[nc,nc,nc]) mesh = pm.create(mode='real', value=0) comm = pm.comm # rankweight = sum([wt.sum() for wt in weights]) # totweight = comm.allreduce(rankweight) # for wt in weights: wt /= totweight/float(nc)**3 for i in range(len(positions)): lay = pm.decompose(positions[i]) mesh.paint(positions[i], mass=weights[i], layout=lay, hold=True) return mesh def createmesh_catalog(self, bs, nc, halocat, cencat, satcat, mode='galaxies', position='RSDpos', weight='HImass', tofield=False): '''use this to create mesh of HI ''' comm = halocat.comm if mode == 'halos': catalogs = [halocat] elif mode == 'galaxies': catalogs = [cencat, satcat] elif mode == 'all': catalogs = [halocat, cencat, satcat] else: print('Mode not recognized') rankweight = sum([cat[weight].sum().compute() for cat in catalogs]) totweight = comm.allreduce(rankweight) for cat in catalogs: cat[weight] /= totweight/float(nc)**3 allcat = MultipleSpeciesCatalog(['%d'%i for i in range(len(catalogs))], *catalogs) mesh = allcat.to_mesh(BoxSize=bs,Nmesh=[nc,nc,nc],\ position=position,weight=weight) if tofield: mesh = mesh.to_field() return mesh

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Python

enel_service/test/modeling/test_model_ops.py

dos-group/enel-experiments

a511b03a2a2577d4ce372aa44e475df8005eb394

[ "MIT" ]

1

2022-03-25T14:03:57.000Z

enel_service/test/modeling/test_model_ops.py

dos-group/enel-experiments

a511b03a2a2577d4ce372aa44e475df8005eb394

[ "MIT" ]

null

enel_service/test/modeling/test_model_ops.py

dos-group/enel-experiments

a511b03a2a2577d4ce372aa44e475df8005eb394

[ "MIT" ]

null

from unittest import TestCase import torch from enel_service.modeling.model_ops import RuntimeConv, MetricConv, OverheadConv class TestOverheadConv(TestCase): def setUp(self) -> None: self.context_tensor = torch.rand(5, 40) self.x_start_scale_out_vec = torch.rand(5, 3) self.x_end_scale_out_vec = torch.rand(5, 3) self.x_rescaling_time_ratio = torch.rand(5, 1) self.metric_tensor = torch.rand(5, 10) self.true_time = torch.abs(torch.rand(5, 1)) self.edge_index = torch.ones(5, 5).nonzero(as_tuple=False).t() self.real_nodes_batch = torch.tensor(list(range(2, 5)), dtype=torch.long) self.conv = OverheadConv(57, 1) self.loss = torch.nn.MSELoss() def test_module_scriptable(self): try: conv = self.conv torch.jit.script(conv) print(conv) print(conv.get_num_parameters()) print(conv.get_num_trainable_parameters()) except BaseException as exc: self.fail(f"Module is not scriptable, error: '{exc}'") def test_module_forward(self): # first: with "normal module" pred_overhead = self.conv(self.x_start_scale_out_vec, self.x_end_scale_out_vec, self.x_rescaling_time_ratio, self.context_tensor, self.metric_tensor, self.real_nodes_batch) self.assertTrue(isinstance(pred_overhead, torch.Tensor)) self.assertEqual(pred_overhead.size(), (self.context_tensor.size()[0], 1)) self.assertEqual(pred_overhead.isnan().sum(), 0) self.assertEqual(pred_overhead.isinf().sum(), 0) # now: with torchscript module script_conv = torch.jit.script(self.conv) pred_overhead = script_conv(self.x_start_scale_out_vec, self.x_end_scale_out_vec, self.x_rescaling_time_ratio, self.context_tensor, self.metric_tensor, self.real_nodes_batch) self.assertTrue(isinstance(pred_overhead, torch.Tensor)) self.assertEqual(pred_overhead.size(), (self.context_tensor.size()[0], 1)) self.assertEqual(pred_overhead.isnan().sum(), 0) self.assertEqual(pred_overhead.isinf().sum(), 0) def test_module_backward(self): try: # first: with "normal module" pred_overhead = self.conv(self.x_start_scale_out_vec, self.x_end_scale_out_vec, self.x_rescaling_time_ratio, self.context_tensor, self.metric_tensor, self.real_nodes_batch) loss = self.loss(pred_overhead, self.true_time) loss.backward(retain_graph=True) # now: with torchscript module script_conv = torch.jit.script(self.conv) pred_overhead = script_conv(self.x_start_scale_out_vec, self.x_end_scale_out_vec, self.x_rescaling_time_ratio, self.context_tensor, self.metric_tensor, self.real_nodes_batch) loss = self.loss(pred_overhead, self.true_time) loss.backward() except BaseException as exc: self.fail(f"Module output produces error during backpropagation, error: '{exc}'") class TestRuntimeConv(TestCase): def setUp(self) -> None: self.context_tensor = torch.rand(5, 40) self.x_scale_out_vec = torch.rand(5, 3) self.metric_tensor = torch.rand(5, 10) self.overhead_tensor = torch.rand(5, 1) self.time_cumsum_tensor = torch.rand(5, 1) self.true_time = torch.abs(torch.rand(5, 1)) self.edge_index = torch.ones(5, 5).nonzero(as_tuple=False).t() self.real_nodes_batch = torch.tensor(list(range(2, 5)), dtype=torch.long) self.conv = RuntimeConv(54, 1) self.loss = torch.nn.MSELoss() def test_module_jittable(self): try: conv = self.conv.jittable() torch.jit.script(conv) print(conv) print(conv.get_num_parameters()) print(conv.get_num_trainable_parameters()) except BaseException as exc: self.fail(f"Module is not jittable, error: '{exc}'") def test_module_forward(self): # first: with "normal module" pred_time, prop_time = self.conv(self.edge_index, self.x_scale_out_vec, self.context_tensor, self.metric_tensor, self.real_nodes_batch, self.overhead_tensor, self.time_cumsum_tensor) self.assertTrue(isinstance(pred_time, torch.Tensor)) self.assertEqual(pred_time.size(), (self.context_tensor.size()[0], 1)) self.assertEqual(pred_time.isnan().sum(), 0) self.assertEqual(pred_time.isinf().sum(), 0) self.assertTrue(isinstance(prop_time, torch.Tensor)) self.assertEqual(prop_time.size(), (self.context_tensor.size()[0], 1)) self.assertEqual(prop_time.isnan().sum(), 0) self.assertEqual(prop_time.isinf().sum(), 0) # now: with torchscript module script_conv = torch.jit.script(self.conv.jittable()) pred_time, prop_time = script_conv(self.edge_index, self.x_scale_out_vec, self.context_tensor, self.metric_tensor, self.real_nodes_batch, self.overhead_tensor, self.time_cumsum_tensor) self.assertTrue(isinstance(pred_time, torch.Tensor)) self.assertEqual(pred_time.size(), (self.context_tensor.size()[0], 1)) self.assertEqual(pred_time.isnan().sum(), 0) self.assertEqual(pred_time.isinf().sum(), 0) self.assertTrue(isinstance(prop_time, torch.Tensor)) self.assertEqual(prop_time.size(), (self.context_tensor.size()[0], 1)) self.assertEqual(prop_time.isnan().sum(), 0) self.assertEqual(prop_time.isinf().sum(), 0) def test_module_backward(self): try: # first: with "normal module" pred_time, prop_time = self.conv(self.edge_index, self.x_scale_out_vec, self.context_tensor, self.metric_tensor, self.real_nodes_batch, self.overhead_tensor, self.time_cumsum_tensor) loss = self.loss(pred_time, self.true_time) loss.backward(retain_graph=True) loss = self.loss(prop_time, self.true_time) loss.backward(retain_graph=True) # now: with torchscript module script_conv = torch.jit.script(self.conv.jittable()) pred_time, prop_time = script_conv(self.edge_index, self.x_scale_out_vec, self.context_tensor, self.metric_tensor, self.real_nodes_batch, self.overhead_tensor, self.time_cumsum_tensor) loss = self.loss(pred_time, self.true_time) loss.backward(retain_graph=True) loss = self.loss(prop_time, self.true_time) loss.backward() except BaseException as exc: self.fail(f"Module output produces error during backpropagation, error: '{exc}'") class TestMetricConv(TestCase): def setUp(self) -> None: self.x_start_scale_out_vec = torch.rand(5, 3) self.x_end_scale_out_vec = torch.rand(5, 3) self.context_tensor = torch.rand(5, 40) self.metric_tensor = torch.rand(5, 10) self.true_metric = torch.abs(torch.rand(5, 10)) self.edge_index = torch.ones(5, 5).nonzero(as_tuple=False).t() self.conv = MetricConv(46, 10, 10, 0.5) self.loss = torch.nn.MSELoss() def test_module_jittable(self): try: conv = self.conv.jittable() torch.jit.script(conv) print(conv) print(conv.get_num_parameters()) print(conv.get_num_trainable_parameters()) except BaseException as exc: self.fail(f"Module is not jittable, error: '{exc}'") def test_module_forward(self): # first: with "normal module" prop_metric = self.conv(self.edge_index, self.x_start_scale_out_vec, self.x_end_scale_out_vec, self.context_tensor, self.metric_tensor) self.assertTrue(isinstance(prop_metric, torch.Tensor)) self.assertEqual(prop_metric.size(), self.metric_tensor.size()) self.assertEqual(prop_metric.isnan().sum(), 0) self.assertEqual(prop_metric.isinf().sum(), 0) # now: with torchscript module script_conv = torch.jit.script(self.conv.jittable()) prop_metric = script_conv(self.edge_index, self.x_start_scale_out_vec, self.x_end_scale_out_vec, self.context_tensor, self.metric_tensor) self.assertTrue(isinstance(prop_metric, torch.Tensor)) self.assertEqual(prop_metric.size(), self.metric_tensor.size()) self.assertEqual(prop_metric.isnan().sum(), 0) self.assertEqual(prop_metric.isinf().sum(), 0) def test_module_backward(self): try: # first: with "normal module" prop_metric = self.conv(self.edge_index, self.x_start_scale_out_vec, self.x_end_scale_out_vec, self.context_tensor, self.metric_tensor) loss = self.loss(prop_metric, self.true_metric) loss.backward(retain_graph=True) # now: with torchscript module script_conv = torch.jit.script(self.conv.jittable()) prop_metric = script_conv(self.edge_index, self.x_start_scale_out_vec, self.x_end_scale_out_vec, self.context_tensor, self.metric_tensor) loss = self.loss(prop_metric, self.true_metric) loss.backward() except BaseException as exc: self.fail(f"Module output produces error during backpropagation, error: '{exc}'")

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9,902

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null

0

1

0

1

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null

0

7

59ed80b2191f001d26c6354b0a00d14706bf7e0c

5,287

py

Python

tests/timemodel_tests/test_event_sequence.py

dpazel/music_rep

2f9de9b98b13df98f1a0a2120b84714725ce527e

[ "MIT" ]

1

2021-05-06T19:45:54.000Z

tests/timemodel_tests/test_event_sequence.py

dpazel/music_rep

2f9de9b98b13df98f1a0a2120b84714725ce527e

[ "MIT" ]

null

tests/timemodel_tests/test_event_sequence.py

dpazel/music_rep

2f9de9b98b13df98f1a0a2120b84714725ce527e

[ "MIT" ]

null

import unittest from timemodel.event_sequence import EventSequence from timemodel.event import Event from timemodel.position import Position class TestEventSequence(unittest.TestCase): def setUp(self): pass def tearDown(self): pass def test_successor(self): es = EventSequence() p1 = Event('str_1', Position(1, 2)) es.add(p1) print(es) assert es.successor(p1) is None p2 = Event('str_2', Position(1)) es.add(p2) print(es) assert es.successor(p1) == p2 assert es.successor(p2) is None p3 = Event('str_2', Position(3, 4)) es.add(p3) print(es) assert es.successor(p1) == p3 assert es.successor(p3) == p2 assert es.successor(p2) is None def test_basic_succ_pred_sequence(self): events = [Event(3, Position(0)), Event(6, Position(1, 2)), Event(2, Position(3, 4)), Event(7, Position(1)), Event(8, Position(3, 2)) ] es = EventSequence(events) print(es) assert es.successor(events[0]) == events[1] assert es.successor(events[1]) == events[2] assert es.successor(events[2]) == events[3] assert es.successor(events[3]) == events[4] assert es.successor(events[4]) is None assert es.predecessor(events[4]) == events[3] assert es.predecessor(events[3]) == events[2] assert es.predecessor(events[2]) == events[1] assert es.predecessor(events[1]) == events[0] assert es.predecessor(events[0]) is None assert es.first == events[0] assert es.last == events[4] es = EventSequence() for i in reversed(range(len(events))): es.add(events[i]) print(es) assert es.successor(events[0]) == events[1] assert es.successor(events[1]) == events[2] assert es.successor(events[2]) == events[3] assert es.successor(events[3]) == events[4] assert es.successor(events[4]) is None assert es.predecessor(events[4]) == events[3] assert es.predecessor(events[3]) == events[2] assert es.predecessor(events[2]) == events[1] assert es.predecessor(events[1]) == events[0] assert es.predecessor(events[0]) is None assert es.first == events[0] assert es.last == events[4] es = EventSequence() for i in [2, 4, 1, 3, 0]: es.add(events[i]) print(es) assert es.successor(events[0]) == events[1] assert es.successor(events[1]) == events[2] assert es.successor(events[2]) == events[3] assert es.successor(events[3]) == events[4] assert es.successor(events[4]) is None assert es.predecessor(events[4]) == events[3] assert es.predecessor(events[3]) == events[2] assert es.predecessor(events[2]) == events[1] assert es.predecessor(events[1]) == events[0] assert es.predecessor(events[0]) is None assert es.first == events[0] assert es.last == events[4] es.remove(events[3]) print('remove object 7') print(es) print(es.print_maps()) assert es.successor(events[0]) == events[1] assert es.successor(events[1]) == events[2] assert es.successor(events[2]) == events[4] assert es.successor(events[4]) is None assert es.predecessor(events[4]) == events[2] assert es.predecessor(events[2]) == events[1] assert es.predecessor(events[1]) == events[0] assert es.predecessor(events[0]) is None assert es.first == events[0] assert es.last == events[4] new_event = Event(23, Position(3, 4)) print('update object 2 to 23') es.add(new_event) print(es) es.print_maps() assert es.successor(events[0]) == events[1] assert es.successor(events[1]) == new_event assert es.successor(new_event) == events[4] assert es.successor(events[4]) is None assert es.predecessor(events[4]) == new_event assert es.predecessor(new_event) == events[1] assert es.predecessor(events[1]) == events[0] assert es.predecessor(events[0]) is None assert es.first == events[0] assert es.last == events[4] es.move_event(new_event, Position(1, 8)) print('move (23, 3/4) to (23, 1/8)') print(es) es.print_maps() assert es.successor(events[0]) == new_event assert es.successor(new_event) == events[1] assert es.successor(events[1]) == events[4] assert es.successor(events[4]) is None assert es.predecessor(events[4]) == events[1] assert es.predecessor(events[1]) == new_event assert es.predecessor(new_event) == events[0] assert es.predecessor(events[0]) is None assert es.first == events[0] assert es.last == events[4] if __name__ == "__main__": unittest.main()

33.462025

53

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5,287

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0

1

0

1

0

null

0

1

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7

947942d3aa3b3136543df07fa1502e1de7d44347

30

py

Python

modulepackage/telly/telly-contrib/telly-po/tubbytronic/po.py

Chyi341152/chyi-book

ddeaf49d69a68f5718c20c3b7fe6fd37381d21eb

[ "MIT" ]

null

modulepackage/telly/telly-contrib/telly-po/tubbytronic/po.py

Chyi341152/chyi-book

ddeaf49d69a68f5718c20c3b7fe6fd37381d21eb

[ "MIT" ]

null

modulepackage/telly/telly-contrib/telly-po/tubbytronic/po.py

Chyi341152/chyi-book

ddeaf49d69a68f5718c20c3b7fe6fd37381d21eb

[ "MIT" ]

null

# po.py print('imported po')

7.5

20

0.633333

5

30

3.8

0.8

0

0.166667

30

3

21

10

0.76

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0

1

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true

0

1

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1

0

null

0

1

0

1

0

1

0

7

947f8a673c4063e7cce492bfdf10ca79fdd7fec4

160

py

Python

datamaps/api/__init__.py

hammerheadlemon/datamaps

3605bb975f606bed1c009100d04a4048dfa28305

[ "MIT" ]

1

2020-10-16T12:52:12.000Z

datamaps/api/__init__.py

yulqen/datamaps

f07fd91889749bec2b7a5fce3af4f10b3e2b3f73

[ "MIT" ]

13

2020-09-07T13:19:11.000Z

2021-11-06T16:11:36.000Z

datamaps/api/__init__.py

hammerheadlemon/datamaps

3605bb975f606bed1c009100d04a4048dfa28305

[ "MIT" ]

1

2019-11-03T14:56:27.000Z

from .api import project_data_from_master_api as project_data_from_master from .api import project_data_from_master_month_api as project_data_from_master_month

53.333333

85

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28

160

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0.461538

0.646154

1

0.923077

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0

0.075

160

2

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true

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1

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null

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null

0

1

0

1

0

1

0

10

94873f8385e7780d1a0a17ee247bba0a917e9140

9,214

py

Python

NVIDIAFastPhotoStyle/models.py

sleebapaul/AuriaKathi

d1705fc7e0919fd0a9e9f87a2593a9f7319886cf

[ "MIT" ]

9

2019-12-31T15:53:33.000Z

2021-05-06T06:36:22.000Z

NVIDIAFastPhotoStyle/models.py

sleebapaul/AuriaKathi

d1705fc7e0919fd0a9e9f87a2593a9f7319886cf

[ "MIT" ]

null

NVIDIAFastPhotoStyle/models.py

sleebapaul/AuriaKathi

d1705fc7e0919fd0a9e9f87a2593a9f7319886cf

[ "MIT" ]

2

2020-01-01T05:03:24.000Z

2020-01-03T13:07:26.000Z

""" Copyright (C) 2018 NVIDIA Corporation. All rights reserved. Licensed under the CC BY-NC-SA 4.0 license (https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode). """ import torch.nn as nn class VGGEncoder(nn.Module): def __init__(self, level): super(VGGEncoder, self).__init__() self.level = level # 224 x 224 self.conv0 = nn.Conv2d(3, 3, 1, 1, 0) self.pad1_1 = nn.ReflectionPad2d((1, 1, 1, 1)) # 226 x 226 self.conv1_1 = nn.Conv2d(3, 64, 3, 1, 0) self.relu1_1 = nn.ReLU(inplace=True) # 224 x 224 if level < 2: return self.pad1_2 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv1_2 = nn.Conv2d(64, 64, 3, 1, 0) self.relu1_2 = nn.ReLU(inplace=True) # 224 x 224 self.maxpool1 = nn.MaxPool2d(kernel_size=2, stride=2, return_indices=True) # 112 x 112 self.pad2_1 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv2_1 = nn.Conv2d(64, 128, 3, 1, 0) self.relu2_1 = nn.ReLU(inplace=True) # 112 x 112 if level < 3: return self.pad2_2 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv2_2 = nn.Conv2d(128, 128, 3, 1, 0) self.relu2_2 = nn.ReLU(inplace=True) # 112 x 112 self.maxpool2 = nn.MaxPool2d(kernel_size=2, stride=2, return_indices=True) # 56 x 56 self.pad3_1 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv3_1 = nn.Conv2d(128, 256, 3, 1, 0) self.relu3_1 = nn.ReLU(inplace=True) # 56 x 56 if level < 4: return self.pad3_2 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv3_2 = nn.Conv2d(256, 256, 3, 1, 0) self.relu3_2 = nn.ReLU(inplace=True) # 56 x 56 self.pad3_3 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv3_3 = nn.Conv2d(256, 256, 3, 1, 0) self.relu3_3 = nn.ReLU(inplace=True) # 56 x 56 self.pad3_4 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv3_4 = nn.Conv2d(256, 256, 3, 1, 0) self.relu3_4 = nn.ReLU(inplace=True) # 56 x 56 self.maxpool3 = nn.MaxPool2d(kernel_size=2, stride=2, return_indices=True) # 28 x 28 self.pad4_1 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv4_1 = nn.Conv2d(256, 512, 3, 1, 0) self.relu4_1 = nn.ReLU(inplace=True) # 28 x 28 def forward(self, x): out = self.conv0(x) out = self.pad1_1(out) out = self.conv1_1(out) out = self.relu1_1(out) if self.level < 2: return out out = self.pad1_2(out) out = self.conv1_2(out) pool1 = self.relu1_2(out) out, pool1_idx = self.maxpool1(pool1) out = self.pad2_1(out) out = self.conv2_1(out) out = self.relu2_1(out) if self.level < 3: return out, pool1_idx, pool1.size() out = self.pad2_2(out) out = self.conv2_2(out) pool2 = self.relu2_2(out) out, pool2_idx = self.maxpool2(pool2) out = self.pad3_1(out) out = self.conv3_1(out) out = self.relu3_1(out) if self.level < 4: return out, pool1_idx, pool1.size(), pool2_idx, pool2.size() out = self.pad3_2(out) out = self.conv3_2(out) out = self.relu3_2(out) out = self.pad3_3(out) out = self.conv3_3(out) out = self.relu3_3(out) out = self.pad3_4(out) out = self.conv3_4(out) pool3 = self.relu3_4(out) out, pool3_idx = self.maxpool3(pool3) out = self.pad4_1(out) out = self.conv4_1(out) out = self.relu4_1(out) return out, pool1_idx, pool1.size(), pool2_idx, pool2.size(), pool3_idx, pool3.size() def forward_multiple(self, x): out = self.conv0(x) out = self.pad1_1(out) out = self.conv1_1(out) out = self.relu1_1(out) if self.level < 2: return out out1 = out out = self.pad1_2(out) out = self.conv1_2(out) pool1 = self.relu1_2(out) out, pool1_idx = self.maxpool1(pool1) out = self.pad2_1(out) out = self.conv2_1(out) out = self.relu2_1(out) if self.level < 3: return out, out1 out2 = out out = self.pad2_2(out) out = self.conv2_2(out) pool2 = self.relu2_2(out) out, pool2_idx = self.maxpool2(pool2) out = self.pad3_1(out) out = self.conv3_1(out) out = self.relu3_1(out) if self.level < 4: return out, out2, out1 out3 = out out = self.pad3_2(out) out = self.conv3_2(out) out = self.relu3_2(out) out = self.pad3_3(out) out = self.conv3_3(out) out = self.relu3_3(out) out = self.pad3_4(out) out = self.conv3_4(out) pool3 = self.relu3_4(out) out, pool3_idx = self.maxpool3(pool3) out = self.pad4_1(out) out = self.conv4_1(out) out = self.relu4_1(out) return out, out3, out2, out1 class VGGDecoder(nn.Module): def __init__(self, level): super(VGGDecoder, self).__init__() self.level = level if level > 3: self.pad4_1 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv4_1 = nn.Conv2d(512, 256, 3, 1, 0) self.relu4_1 = nn.ReLU(inplace=True) # 28 x 28 self.unpool3 = nn.MaxUnpool2d(kernel_size=2, stride=2) # 56 x 56 self.pad3_4 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv3_4 = nn.Conv2d(256, 256, 3, 1, 0) self.relu3_4 = nn.ReLU(inplace=True) # 56 x 56 self.pad3_3 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv3_3 = nn.Conv2d(256, 256, 3, 1, 0) self.relu3_3 = nn.ReLU(inplace=True) # 56 x 56 self.pad3_2 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv3_2 = nn.Conv2d(256, 256, 3, 1, 0) self.relu3_2 = nn.ReLU(inplace=True) # 56 x 56 if level > 2: self.pad3_1 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv3_1 = nn.Conv2d(256, 128, 3, 1, 0) self.relu3_1 = nn.ReLU(inplace=True) # 56 x 56 self.unpool2 = nn.MaxUnpool2d(kernel_size=2, stride=2) # 112 x 112 self.pad2_2 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv2_2 = nn.Conv2d(128, 128, 3, 1, 0) self.relu2_2 = nn.ReLU(inplace=True) # 112 x 112 if level > 1: self.pad2_1 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv2_1 = nn.Conv2d(128, 64, 3, 1, 0) self.relu2_1 = nn.ReLU(inplace=True) # 112 x 112 self.unpool1 = nn.MaxUnpool2d(kernel_size=2, stride=2) # 224 x 224 self.pad1_2 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv1_2 = nn.Conv2d(64, 64, 3, 1, 0) self.relu1_2 = nn.ReLU(inplace=True) # 224 x 224 if level > 0: self.pad1_1 = nn.ReflectionPad2d((1, 1, 1, 1)) self.conv1_1 = nn.Conv2d(64, 3, 3, 1, 0) def forward(self, x, pool1_idx=None, pool1_size=None, pool2_idx=None, pool2_size=None, pool3_idx=None, pool3_size=None): out = x if self.level > 3: out = self.pad4_1(out) out = self.conv4_1(out) out = self.relu4_1(out) out = self.unpool3(out, pool3_idx, output_size=pool3_size) out = self.pad3_4(out) out = self.conv3_4(out) out = self.relu3_4(out) out = self.pad3_3(out) out = self.conv3_3(out) out = self.relu3_3(out) out = self.pad3_2(out) out = self.conv3_2(out) out = self.relu3_2(out) if self.level > 2: out = self.pad3_1(out) out = self.conv3_1(out) out = self.relu3_1(out) out = self.unpool2(out, pool2_idx, output_size=pool2_size) out = self.pad2_2(out) out = self.conv2_2(out) out = self.relu2_2(out) if self.level > 1: out = self.pad2_1(out) out = self.conv2_1(out) out = self.relu2_1(out) out = self.unpool1(out, pool1_idx, output_size=pool1_size) out = self.pad1_2(out) out = self.conv1_2(out) out = self.relu1_2(out) if self.level > 0: out = self.pad1_1(out) out = self.conv1_1(out) return out

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0.49631

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0.136768

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null

0

1

0

1

0

null

0

7

84d0c13683e910b5ff87f3b9b7af71302cbef933

3,702

py

Python

apps/bednets/models.py

rapidsms/rapidsms-legacy

43c2ecd41fd1541a2538326edee3d9e816d84529

[ "BSD-3-Clause" ]

null

apps/bednets/models.py

rapidsms/rapidsms-legacy

43c2ecd41fd1541a2538326edee3d9e816d84529

[ "BSD-3-Clause" ]

null

apps/bednets/models.py

rapidsms/rapidsms-legacy

43c2ecd41fd1541a2538326edee3d9e816d84529

[ "BSD-3-Clause" ]

1

2019-11-02T19:35:54.000Z

# vim: ai sts=4 ts=4 et sw=4 from django.db import models from reporters.models import Location, Reporter, PersistantConnection import time as taim class NetDistribution(models.Model): reporter = models.ForeignKey(Reporter, null=True, blank=True) connection = models.ForeignKey(PersistantConnection, null=True, blank=True) location = models.ForeignKey(Location) time = models.DateTimeField() distributed = models.PositiveIntegerField() expected = models.PositiveIntegerField() actual = models.PositiveIntegerField() discrepancy = models.PositiveIntegerField() def __unicode__(self): return "%s (%s) %s" % (self.location, self.reporter, self.time) @staticmethod def net_data(location): all = NetDistribution.objects.all().filter(location__pk=location.pk) return {"distributed": sum(all.values_list("distributed", flat=True)), "expected": sum(all.values_list("expected", flat=True)), "actual": sum(all.values_list("actual", flat=True)), "discrepancy": sum(all.values_list("discrepancy", flat=True))} class Meta: # FIXME tell django the old table name (since app has been renamed) db_table = "nigeria_netdistribution" # define a permission for this app to use the @permission_required # decorator in bednet's views # in the admin's auth section, we have a group called 'llin' whose # users have this permission -- and are able to see this section permissions = ( ("can_view", "Can view"), ) @staticmethod def net_data_total(location): '''For a given location, this function gets all the descendant locations and calculates the totals for card distribution''' all = NetDistribution.objects.all().filter(location__code__startswith=location.code) return {"distributed": sum(all.values_list("distributed", flat=True)), "expected": sum(all.values_list("expected", flat=True)), "actual": sum(all.values_list("actual", flat=True)), "discrepancy": sum(all.values_list("discrepancy", flat=True))} class CardDistribution(models.Model): reporter = models.ForeignKey(Reporter, null=True, blank=True) connection = models.ForeignKey(PersistantConnection, null=True, blank=True) location = models.ForeignKey(Location) time = models.DateTimeField() settlements = models.PositiveIntegerField() people = models.PositiveIntegerField() distributed = models.PositiveIntegerField() def __unicode__(self): return "%s (%s) %s" % (self.location, self.reporter, self.time) @staticmethod def card_data(location): all = CardDistribution.objects.all().filter(location__pk=location.pk) return {"distributed": sum(all.values_list("distributed", flat=True)), "settlements": sum(all.values_list("settlements", flat=True)), "people": sum(all.values_list("people", flat=True))} @staticmethod def card_data_total(location): '''For a given location, this function gets all the descendant locations and calculates the totals for card distribution''' all = CardDistribution.objects.all().filter(location__code__startswith=location.code) return {"distributed": sum(all.values_list("distributed", flat=True)), "settlements": sum(all.values_list("settlements", flat=True)), "people": sum(all.values_list("people", flat=True))} class Meta: # FIXME tell django the old table name (since app has been renamed) db_table = "nigeria_carddistribution"

44.071429

93

0.672339

419

3,702

5.830549

0.252983

0.034384

0.068768

0.091691

0.735571

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0

0.001031

0.213668

3,702

83

94

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0.8382

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0

0.111038

0.015395

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0

1

0.105263

false

0

0.052632

0.035088

0.596491

0

null

0

1

0

null

0

1

0

1

0

7

ca1c1bac66066672a05b652e586c46207da9d23d

1,717

py

Python

tests/test_rules_p4.py

Dratui/AI-Arena

e9693e34a90523bbb86eb2ad3b2c3e9797beed5c

[ "MIT" ]

2

2018-11-16T08:18:42.000Z

2018-11-22T08:44:10.000Z

tests/test_rules_p4.py

Dratui/2048_online

e9693e34a90523bbb86eb2ad3b2c3e9797beed5c

[ "MIT" ]

15

2018-11-16T10:52:24.000Z

2018-11-23T08:36:17.000Z

tests/test_rules_p4.py

Dratui/AI-Arena

e9693e34a90523bbb86eb2ad3b2c3e9797beed5c

[ "MIT" ]

2

2018-11-15T09:32:36.000Z

2018-11-16T08:56:54.000Z

from src.games.game_p4.rules_p4 import * from pytest import * from src.board import * from src.games.games import * def test_is_over(): game = init_game("p4") game.list_board[0] = generate_board_from_list([[None, None, None, None], [None, None, None, None], [None, None, None, None], [0, None, None, 1]]) assert game.is_over()[0] == False game.list_board[0] = generate_board_from_list([[None, None, None, None], [None, None, None, None], [None, None, None, None], [0, 0, 0, 0]]) assert game.is_over()[0] == True game.list_board[0] = generate_board_from_list([[None, None, None, None], [None, None, None, None], [None, None, None, None], [1, 1, 1, 1]]) assert game.is_over()[0] == True game.list_board[0] = generate_board_from_list([[0, None, None, None], [0, None, None, None], [0, None, None, None], [0, None, None, 1]]) assert game.is_over()[0] == True def test_make_a_move(): game = init_game("p4") game.list_board[1] = generate_board_from_list([[None, None, None, None], [None, None, None, None], [None, None, None, None], [0, None, None, 1]]) game.player_playing = 1 game.make_a_move(0) assert game.list_board[1].get_all_tiles() == generate_board_from_list([[None, None, None, None], [None, None, None, None], [1, None, None, None], [0, None, None, 1]]).get_all_tiles() game.list_board[0] = generate_board_from_list([[None, None, None, None], [None, None, None, None], [None, None, None, None], [1, None, 0, 0]]) game.player_playing = 0 game.make_a_move(2) assert game.list_board[0].get_all_tiles() == generate_board_from_list([[None, None, None, None], [None, None, None, None], [None, None, 0, None], [1,None,0,0]]).get_all_tiles()

55.387097

186

0.652301

285

1,717

3.722807

0.108772

0.625825

0.769086

0.859566

0.760603

0.752121

0.6918

0

0.032503

0.157833

1,717

30

187

57.233333

0.701245

0

0.208333

1

0

0.00233

0

0.25

1

0.083333

false

0

0.166667

0

0.25

0

null

1

0

1

0

1

0

1

0

null

0

7

ca6c0c75a3eca1224876074fe5f47afe63494c2f

147

py

Python

pydatastructs/__init__.py

Jahnavi-Jonnalagadda/pydatastructs

27bda667d67b40851b6cb482ef50fe2bccc098de

[ "BSD-3-Clause" ]

3

2020-11-05T09:12:30.000Z

2021-11-14T06:13:21.000Z

pydatastructs/__init__.py

Jahnavi-Jonnalagadda/pydatastructs

27bda667d67b40851b6cb482ef50fe2bccc098de

[ "BSD-3-Clause" ]

null

pydatastructs/__init__.py

Jahnavi-Jonnalagadda/pydatastructs

27bda667d67b40851b6cb482ef50fe2bccc098de

[ "BSD-3-Clause" ]

1

2021-10-11T23:26:24.000Z

from .linear_data_structures import * from .trees import * from .miscellaneous_data_structures import * from .utils import * from .graphs import *

24.5

44

0.795918

19

147

5.947368

0.473684

0.353982

0.424779

0

0.136054

147

5

45

29.4

0.889764

0

1

0

true

0

1

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1

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1

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null

1

0

1

0

null

0

1

0

1

0

1

0

8

ca93a3238d6e4218966d3c91a07b2250725a81e2

2,479

py

Python

isimip_data/metadata/tests/test_admin.py

ISI-MIP/isimip-data

a0e4772362cc60db91e7689ec397840dcaaacddb

[ "MIT" ]

3

2020-02-10T10:13:17.000Z

2021-12-21T09:10:50.000Z

isimip_data/metadata/tests/test_admin.py

ISI-MIP/isimip-data

a0e4772362cc60db91e7689ec397840dcaaacddb

[ "MIT" ]

17

2020-02-10T16:09:12.000Z

2021-07-02T09:03:37.000Z

isimip_data/metadata/tests/test_admin.py

ISI-MIP/isimip-data

a0e4772362cc60db91e7689ec397840dcaaacddb

[ "MIT" ]

null

from django.urls import reverse from isimip_data.metadata.models import Dataset, File, Resource def test_dataset_changelist(db, client): client.login(username='admin', password='admin') url = reverse('admin:metadata_dataset_changelist') response = client.get(url) assert response.status_code == 200 def test_dataset_change(db, client): client.login(username='admin', password='admin') dataset = Dataset.objects.using('metadata').first() url = reverse('admin:metadata_dataset_change', args=[dataset.id]) response = client.get(url) assert response.status_code == 200 def test_dataset_delete(db, client): client.login(username='admin', password='admin') dataset = Dataset.objects.using('metadata').first() url = reverse('admin:metadata_dataset_delete', args=[dataset.id]) response = client.get(url) assert response.status_code == 403 def test_file_changelist(db, client): client.login(username='admin', password='admin') url = reverse('admin:metadata_file_changelist') response = client.get(url) assert response.status_code == 200 def test_file_change(db, client): client.login(username='admin', password='admin') file = File.objects.using('metadata').first() url = reverse('admin:metadata_file_change', args=[file.id]) response = client.get(url) assert response.status_code == 200 def test_file_delete(db, client): client.login(username='admin', password='admin') file = File.objects.using('metadata').first() url = reverse('admin:metadata_file_delete', args=[file.id]) response = client.get(url) assert response.status_code == 403 def test_resource_changelist(db, client): client.login(username='admin', password='admin') url = reverse('admin:metadata_resource_changelist') response = client.get(url) assert response.status_code == 200 def test_resource_change(db, client): client.login(username='admin', password='admin') resource = Resource.objects.using('metadata').first() url = reverse('admin:metadata_resource_change', args=[resource.id]) response = client.get(url) assert response.status_code == 200 def test_resource_delete(db, client): client.login(username='admin', password='admin') resource = Resource.objects.using('metadata').first() url = reverse('admin:metadata_resource_delete', args=[resource.id]) response = client.get(url) assert response.status_code == 403

28.170455

71

0.713998

311

2,479

5.543408

0.115756

0.036543

0.073086

0.099188

0.917633

0.906613

0.885731

0

0.012808

0.149657

2,479

87

72

28.494253

0.805028

0

0.622642

0

0.163372

0.107705

0

0.169811

1

0.169811

false

0.169811

0.037736

0

0.207547

0

null

0

1

0

null

0

1

0

7

0472d1c07b828789360a750d62bedf3d7d5cacc6

225

py

Python

Day_55/generate_random_string.py

kiranrraj/100Days_Of_Coding

ab75d83be9be87fb7bc83a3f3b72a4638dab22a1

[ "MIT" ]

null

Day_55/generate_random_string.py

kiranrraj/100Days_Of_Coding

ab75d83be9be87fb7bc83a3f3b72a4638dab22a1

[ "MIT" ]

null

Day_55/generate_random_string.py

kiranrraj/100Days_Of_Coding

ab75d83be9be87fb7bc83a3f3b72a4638dab22a1

[ "MIT" ]

null

# Title : Generate random string # Author : Kiran raj R. # Date : 24:10:2020 import secrets print(f"Random secure Hexadecimal token is {secrets.token_hex(64)}") print(f"Random secure URL is {secrets.token_urlsafe(64)}")

25

68

0.728889

35

225

4.628571

0.685714

0.074074

0.148148

0.222222

0

0.062827

0.151111

225

8

69

28.125

0.78534

0.324444

0

1

0

0.716216

0.337838

0

1

0

true

0

0.333333

0

0.333333

0.666667

0

null

0

1

0

1

0

1

0

1

0

null

0

1

0

1

0

1

0

7

048e662f66c37b819f34a8f7766febc9862c592c

70

py

Python

tests/test_DBN.py

WillianFuks/pyClickModels

e0515d8e07310d4b6369f2768647a3808b4904dc

[ "MIT" ]

13

2020-05-23T01:03:49.000Z

2021-11-08T10:20:46.000Z

tests/test_DBN.py

WillianFuks/pyClickModels

e0515d8e07310d4b6369f2768647a3808b4904dc

[ "MIT" ]

4

2021-02-11T03:58:27.000Z

2021-06-16T18:10:19.000Z

tests/test_DBN.py

WillianFuks/pyClickModels

e0515d8e07310d4b6369f2768647a3808b4904dc

[ "MIT" ]

3

2020-12-20T11:41:33.000Z

2021-08-31T15:32:19.000Z

def test_DBN(): from test_cy_DBN import run_tests run_tests()

17.5

37

0.714286

12

70

3.75

0.666667

0.355556

0

0.214286

70

3

38

23.333333

0.818182

0

1

0.333333

true

0

0.333333

0

0.666667

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

b6c81b666034a656f84d8b4773604d4fdc60b11e

29

py

Python

package/subpackage/module_a.py

tagler/Data_Science_Project_Template_Python

0c60a06e81df2e01db771393a17504f28f4fa432

[ "MIT" ]

null

package/subpackage/module_a.py

tagler/Data_Science_Project_Template_Python

0c60a06e81df2e01db771393a17504f28f4fa432

[ "MIT" ]

null

package/subpackage/module_a.py

tagler/Data_Science_Project_Template_Python

0c60a06e81df2e01db771393a17504f28f4fa432

[ "MIT" ]

null

def print_a(): print('a')

14.5

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0.551724

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3

0.6

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0.206897

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2

15

14.5

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1

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true

0

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null

1

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1

0

null

0

1

0

1

0

7

b6dcdb7a5206b7bdc8243e08b918678343c449fb

3,273

py

Python

tests/dict/test_dict_representation.py

nikitanovosibirsk/district42

0c13248919fc96bde16b9634a8ea468e4882752a

[ "Apache-2.0" ]

1

2016-09-16T04:09:19.000Z

tests/dict/test_dict_representation.py

nikitanovosibirsk/district42

0c13248919fc96bde16b9634a8ea468e4882752a

[ "Apache-2.0" ]

2

2021-06-14T05:53:49.000Z

2022-02-01T14:26:31.000Z

tests/dict/test_dict_representation.py

nikitanovosibirsk/district42

0c13248919fc96bde16b9634a8ea468e4882752a

[ "Apache-2.0" ]

null

from baby_steps import given, then, when from district42 import optional, represent, schema def test_dict_representation(): with given: sch = schema.dict with when: res = represent(sch) with then: assert res == "schema.dict" def test_dict_empty_representation(): with given: sch = schema.dict({}) with when: res = represent(sch) with then: assert res == "schema.dict({})" def test_dict_one_key_representation(): with given: sch = schema.dict({"id": schema.int}) with when: res = represent(sch) with then: assert res == "\n".join([ "schema.dict({", " 'id': schema.int", "})" ]) def test_dict_many_keys_representation(): with given: sch = schema.dict({ "id": schema.int, "name": schema.str("banana") }) with when: res = represent(sch) with then: assert res == "\n".join([ "schema.dict({", " 'id': schema.int,", " 'name': schema.str('banana')", "})", ]) def test_dict_optional_key_representation(): with given: sch = schema.dict({ "id": schema.int, optional("name"): schema.str, }) with when: res = represent(sch) with then: assert res == "\n".join([ "schema.dict({", " 'id': schema.int,", " optional('name'): schema.str", "})" ]) def test_dict_nested_keys_representation(): with given: sch = schema.dict({ "id": schema.int, "user": schema.dict({ "id": schema.int, "name": schema.str("banana") }), "is_deleted": schema.bool }) with when: res = represent(sch) with then: assert res == "\n".join([ "schema.dict({", " 'id': schema.int,", " 'user': schema.dict({", " 'id': schema.int,", " 'name': schema.str('banana')", " }),", " 'is_deleted': schema.bool", "})", ]) def test_dict_relaxed_empty_representation(): with given: sch = schema.dict({...: ...}) with when: res = represent(sch) with then: assert res == "schema.dict({...: ...})" def test_dict_relaxed_one_key_representation(): with given: sch = schema.dict({"id": schema.int, ...: ...}) with when: res = represent(sch) with then: assert res == "\n".join([ "schema.dict({", " 'id': schema.int,", " ...: ...", "})", ]) def test_dict_relaxed_many_keys_representation(): with given: sch = schema.dict({ "id": schema.int, "name": schema.str("banana"), ...: ..., }) with when: res = represent(sch) with then: assert res == "\n".join([ "schema.dict({", " 'id': schema.int,", " 'name': schema.str('banana'),", " ...: ...", "})", ])

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3,273

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0.117155

0.175732

0.892608

0.863319

0

0.000999

0.388329

3,273

153

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21.392157

0.715285

0

0.732759

0

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0.006416

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0.077586

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0.077586

false

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null

0

1

0

1

0

null

0

8

b6e1c69245737dbd35aa8c9cfb692f1f860e492f

173

py

Python

authCredentials.py

SnowCheetos/BubbleMint

29f2c4ce3debc065790152b3e5f41ee9dff9bd52

[ "MIT" ]

null

authCredentials.py

SnowCheetos/BubbleMint

29f2c4ce3debc065790152b3e5f41ee9dff9bd52

[ "MIT" ]

null

authCredentials.py

SnowCheetos/BubbleMint

29f2c4ce3debc065790152b3e5f41ee9dff9bd52

[ "MIT" ]

2

2022-01-07T14:43:41.000Z

2022-01-25T20:08:34.000Z

api_key = ... #Insert your Coinbase Pro API information api_secret = ... #Insert your Coinbase Pro API information api_pass = ... #Insert your Coinbase Pro API information

34.6

58

0.751445

24

173

5.291667

0.375

0.23622

0.425197

0.496063

0.874016

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0.16185

173

4

59

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false

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null

1

0

1

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null

0

1

0

8

8e3babdf4ccb179a21415ace032a67568984f1df

9,726

py

Python

extending_streamlit_usage/001_nlp_spacy_python_realp/001_nlp_spacy_python.py

bflaven/BlogArticlesExamples

5df2dfc26170ffbbade78ba136bf3172391e3b2a

[ "MIT" ]

5

2018-05-03T08:16:02.000Z

2021-09-04T03:44:24.000Z

extending_streamlit_usage/001_nlp_spacy_python_realp/001_nlp_spacy_python.py

bflaven/BlogArticlesExamples

5df2dfc26170ffbbade78ba136bf3172391e3b2a

[ "MIT" ]

1

2022-01-28T19:27:19.000Z

extending_streamlit_usage/001_nlp_spacy_python_realp/001_nlp_spacy_python.py

bflaven/BlogArticlesExamples

5df2dfc26170ffbbade78ba136bf3172391e3b2a

[ "MIT" ]

2

2020-09-10T13:33:27.000Z

2022-02-09T11:07:38.000Z

#!/usr/bin/python # -*- coding: utf-8 -*- """ [path] cd /Users/brunoflaven/Documents/01_work/blog_articles/extending_streamlit_usage/001_nlp_spacy_python_realp/ [file] python 001_nlp_spacy_python.py # source Source: https://realpython.com/natural-language-processing-spacy-python/ """ import spacy import spacy_streamlit def debug_text_enumerate(doc): for i, token in enumerate(doc): # DEBUG print(i, token, token.pos_, token.dep_) # print(i, token.text, token.pos_, token.dep_) # print(i, token.text, token.ent_type) # print(i, token.text, token.ent_type_) # print(i, token.text, token.ent_type, token.ent_type_) # print(i, token.text, token.head) # print(doc[i].text) # print(doc[i]) # print(i, doc[i], doc[i].pos_, doc[i].dep_) # and so on... def debug_text_loop(doc): for token in doc: # print(token, token.pos_, token.dep_) # print(token.text, token.pos_, token.dep_) # print(token.text, token.ent_type) # print(token.text, token.ent_type_) # print(token.text, token.ent_type, token.ent_type_) print(token.text, token.head) nlp = spacy.load('en_core_web_sm') print("\n --- result_1") print("EN spacy loaded") # HOW TO READ A TEXT bf_text = ('Order is a very relative notion, it is specific for each of us. “The world is my representation” as Arthur “Chop” Schopenhauer says. At the same time, experience teaches us “Every cloud has a silver lining” so modestly I discovered that a relative “disorder” is often more efficient than an absolute “order”. Right? Ooh slow down a bit! It is not an easy-peasy Q/A! For sure, you can ask yourself why such interrogations are part of a so called post dedicated to Python. Well, first of all, it make sense for me for several reasons: Never bad to introduce some philosophy in programming practice. Personally, it reconciles two of my favorite hobbies(bad programming & cheap philosophy) to one: headache! More seriously, these thoughts come from a practical and real-world experience. Let me tell you the story: after a long, long aging process, as a PO, I achieved to build a robust testing strategy with CodeceptJS for a backoffice! But then I discovered that the e2e sequential execution of the suite created a bias(let’s called them errors). OMG! Then I was wondering how to introduce randomization inside the testing suite execution in order to reduce this bias to the maximum. The purpose is to avoid the false positive nightmare! Meanwhile, in a completely chaotic, confused, disordered, disorganised, topsy-turvy, helter-skelter, pell-mell, upside-down, higgledy-piggledy, hugger-mugger, harum-scarum, snafu, slipshod, unplanned, erratic, strayed, hit-and-miss, incidental, spontaneous, uncoordinated, willy-nilly, devil-may-care, unpremeditated, reckless, cockeyed, hit-and-miss, fluky, incidental… anarchic way, I am learning advanced Python techniques(NLP, facial recognition …) but also fundamentals like the difference between a “tuple” and a “dictionnary”. So it was logic that Python popped up in my mind to bring this randomness, given the complexity of doing the same thing in Bash, a language that I am far from mastering! Incidentally, this experiment proves me that Python is: Easy to read: Python is easy to read and most of the language makes sense at a glimpse. This makes finding issues a lot easier than more complicated languages. Portability: Python runs on many platforms and systems, meaning your programs can reach a wider audience. It can easily replace Bash or Ruby of instance. Two qualities that gave Python a serious advantage in what I am looking for: to create on-demand order or disorder 🙂. Order: when it comes to browsing, summarizing and indexing hundreds of texts in order to store them in a database itself MySQL and / or NoSQL. Disorder: when it comes to run tests in parallel, for example, and thereby overcome a bias linked to a sequential execution. Oddly, sometimes, Disorder proves to be more efficient and effective than Order. So, this post presents my quick researches on how-to handle random in Python. Having in mind that the final objective is to load randomly testing files that achieve a complete Backoffice’s assessment without increasing errors into the process. By the way, it reveals a third and fourth Python qualities: Increasing productivity: how much work you can accomplish in a given time with few lines of code. Relieving Boring Stuff in Bullshit Jobs: Thanks to Al Sweigart and David Graeber to have enabled me to create this “tuna-mayo-sandwich” concept. So, now, let’s move on and show some code…') # bf_doc = nlp(bf_text) # Extract tokens for the given doc # print("\n --- result_2") # print([token.text for token in bf_doc]) # print("\n --- result_3") # # HOW TO READ A TEXT FILE TRY_1 # file_name = 'article_bf_1.txt' # introduction_file_text = open(file_name).read() # introduction_file_doc = nlp(introduction_file_text) # # Extract tokens for the given doc # print([token.text for token in introduction_file_doc]) print("\n --- result_4") # SENTENCE DETECTION # In spaCy, the sents property is used to extract sentences. Here’s how you would extract the total number of sentences and the sentences for a given input texts. # BF detect the sentence's number based on the dot (.) """ about_text = ('Python, Randomization, E2E – it’s all about Random and some good reasons to learn and leverage on Python' 'Order is a very relative notion, it is specific for each of us. “The world is my representation” as Arthur “Chop” Schopenhauer says. At the same time, experience teaches us “Every cloud has a silver lining” so modestly I discovered that a relative “disorder” is often more efficient than an absolute “order”. Right? Ooh slow down a bit! It is not an easy-peasy Q/A!' 'For sure, you can ask yourself why such interrogations are part of a so called post dedicated to Python. Well, first of all, it make sense for me for several reasons:' 'Never bad to introduce some philosophy in programming practice. Personally, it reconciles two of my favorite hobbies(bad programming & cheap philosophy) to one: headache! More seriously, these thoughts come from a practical and real-world experience.' 'Let me tell you the story: after a long, long aging process, as a PO, I achieved to build a robust testing strategy with CodeceptJS for a backoffice! But then I discovered that the e2e sequential execution of the suite created a bias(let’s called them errors). OMG! Then I was wondering how to introduce randomization inside the testing suite execution in order to reduce this bias to the maximum. The purpose is to avoid the false positive nightmare!' 'Meanwhile, in a completely chaotic, confused, disordered, disorganized, topsy-turvy, helter-skelter, pell-mell, upside-down, higgledy-piggledy, hugger-mugger, harum-scarum, snafu, slipshod, unplanned, erratic, strayed, hit-and-miss, incidental, spontaneous, uncoordinated, willy-nilly, devil-may-care, unpremeditated, reckless, cockeyed, hit-and-miss, fluky, incidental… anarchic way, I am learning advanced Python techniques(NLP, facial recognition …) but also fundamentals like the difference between a “tuple” and a “dictionnary”. So it was logic that Python popped up in my mind to bring this randomness, given the complexity of doing the same thing in Bash, a language that I am far from mastering!' 'Incidentally, this experiment proves me that Python is : ' 'Easy to read: Python is easy to read and most of the language makes sense at a glimpse. This makes finding issues a lot easier than more complicated languages.' 'Portability: Python runs on many platforms and systems, meaning your programs can reach a wider audience. It can easily replace Bash or Ruby of instance.' 'Two qualities that gave Python a serious advantage in what I am looking for: to create on-demand order or disorder 🙂' 'Order: when it comes to browsing, summarizing and indexing hundreds of texts in order to store them in a database itself MySQL and / or NoSQL.' 'Disorder: when it comes to run tests in parallel, for example, and thereby overcome a bias linked to a sequential execution.' 'Oddly, sometimes, Disorder proves to be more efficient and effective than Order.' 'So, this post presents my quick researches on how-to handle random in Python. Having in mind that the final objective is to load randomly testing files that achieve a complete Backoffice’s assessment without increasing errors into the process.' 'By the way, it reveals a third and fourth Python qualities:' 'Increasing productivity: how much work you can accomplish in a given time with few lines of code.' 'Relieving Boring Stuff in Bullshit Jobs: Thanks to Al Sweigart and David Graeber to have enabled me to create this “tuna-mayo-sandwich” concept.' 'So, now, let’s move on and show some code…' ) about_doc = nlp(about_text) sentences = list(about_doc.sents) len(sentences) for sentence in sentences: print (sentence) """ # same example with (...) aka ellipsis # In the above example, spaCy is correctly able to identify sentences in the English language, using a full stop(.) as the sentence delimiter. You can also customize the sentence detection to detect sentences on custom delimiters. # Here’s an example, where an ellipsis(...) is used as the delimiter: # BF detect the sentence's number based on the ellipsis (...) # see 002_nlp_spacy_python.py

79.073171

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0.271605

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0.808821

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9,726

122

3,381

79.721311

0.905691

0.190417

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false

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0.307692

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1

0

1

0

null

0

8

f3dea9ebd67f9daa4148099186d16813a87e9925

5,986

py

Python

WSGI-Scripts/WebPageDev/words.py

sch93nz/Linux-Scripts

331fab04a11580ed4e8427e91a2069a9aa76e3e4

[ "MIT" ]

null

WSGI-Scripts/WebPageDev/words.py

sch93nz/Linux-Scripts

331fab04a11580ed4e8427e91a2069a9aa76e3e4

[ "MIT" ]

null

WSGI-Scripts/WebPageDev/words.py

sch93nz/Linux-Scripts

331fab04a11580ed4e8427e91a2069a9aa76e3e4

[ "MIT" ]

null

import random class A(object): ID = 0 link = "" webChildren = list() def __init__(self,words): self.webChildren=[] self.ID =random.getrandbits(16) self.link = words def getOpening(self): output = '''\r\n<a''' return output+'''">''' def getEnding(self): return '''</a>''' def webString(self): output = self.getOpening() output += self.link for item in self.webChildren: output+=item.webString() output+=self.getEnding() return output class P(object): ID = 0 text = "" webChildren = list() def __init__(self,words): self.webChildren=[] self.ID =random.getrandbits(16) self.text = words def getOpening(self): output = '''\r\n<p''' output += ''' style="''' return output+'''">''' def getEnding(self): return '''</p>''' def webString(self): output = self.getOpening() output += self.text for item in self.webChildren: output+=item.webString() output+=self.getEnding() return output class H1(object): ID = 0 text = "" webChildren = list() def __init__(self,words): self.webChildren=[] self.ID =random.getrandbits(16) self.text = words def getOpening(self): output = '''\r\n<h1''' output += ''' style="''' return output+'''">''' def getEnding(self): return '''</h1>''' def webString(self): output = self.getOpening() output += self.text for item in self.webChildren: output+=item.webString() output+=self.getEnding() return output class H2(object): ID=0 text = "" webChildren = list() def __init__(self,words): self.webChildren=[] self.ID =random.getrandbits(16) self.text = words def getOpening(self): output = '''\r\n<h2''' output += ''' style="''' return output+'''">''' def getEnding(self): return '''</h2>''' def webString(self): output = self.getOpening() output += self.text for item in self.webChildren: output+=item.webString() output+=self.getEnding() return output class H3(object): ID=0 text = "" webChildren = list() def __init__(self,words): self.webChildren=[] self.ID =random.getrandbits(16) self.text = words def getOpening(self): output = '''\r\n<h3''' output += ''' style="''' return output+'''">''' def getEnding(self): return '''</h3>''' def webString(self): output = self.getOpening() output += self.text for item in self.webChildren: output+=item.webString() output+=self.getEnding() return output class H4(object): text = "" webChildren = list() ID=0 def __init__(self,words): self.webChildren=[] self.ID =random.getrandbits(16) self.text = words def getOpening(self): output = '''\r\n<h4''' output += ''' style="''' return output+'''">''' def getEnding(self): return '''</h4>''' def webString(self): output = self.getOpening() output += self.text for item in self.webChildren: output+=item.webString() output+=self.getEnding() return output class H5(object): text = "" webChildren = list() ID=0 def __init__(self,words): self.webChildren=[] self.ID =random.getrandbits(16) self.text = words def getOpening(self): output = '''\r\n<h5''' output += ''' style="''' return output+'''">''' def getEnding(self): return '''</h5>''' def webString(self): output = self.getOpening() output += self.text for item in self.webChildren: output+=item.webString() output+=self.getEnding() return output class H6(object): text = "" webChildren = list() ID=0 def __init__(self,words): self.webChildren=[] self.ID =random.getrandbits(16) self.text = words def getOpening(self): output = '''\r\n<h6''' output += ''' style="''' return output+'''">''' def getEnding(self): return '''</h6>''' def webString(self): output = self.getOpening() output += self.text for item in self.webChildren: output+=item.webString() output+=self.getEnding() return output class H7(object): text = "" webChildren = list() ID=0 def __init__(self,words): self.webChildren=[] self.ID =random.getrandbits(16) self.text = words def getOpening(self): output = '''\r\n<h7''' output += ''' style="''' return output+'''">''' def getEnding(self): return '''</h7>''' def webString(self): output = self.getOpening() output += self.text for item in self.webChildren: output+=item.webString() output+=self.getEnding() return output class H8(object): text = "" webChildren = list() ID=0 def __init__(self,words): self.webChildren=[] self.ID =random.getrandbits(16) self.text = words def getOpening(self): output = '''\r\n<h8''' output += ''' style="''' return output+'''">''' def getEnding(self): return '''</h8>''' def webString(self): output = self.getOpening() output += self.text for item in self.webChildren: output+=item.webString() output+=self.getEnding() return output

19.309677

39

0.510358

600

5,986

5.025

0.061667

0.099502

0.036484

0.053068

0.969486

0.958209

0.948259

0.798673

0

0.013654

0.339292

5,986

309

40

19.372168

0.748673

0

0.838095

0

0.034759

0

1

0.190476

false

0

0.004762

0.047619

0.528571

0

null

0

1

0

1

0

null

0

1

0

8

f3fd153abf5023bb8d15e8da1f16ab17826ced5c

4,050

py

Python

assignment2/run_experiments.py

adijo/ift6135-rnn

88ebcd621cea4042f5ada688f2452ce25d02b761

[ "Apache-2.0" ]

null

assignment2/run_experiments.py

adijo/ift6135-rnn

88ebcd621cea4042f5ada688f2452ce25d02b761

[ "Apache-2.0" ]

null

assignment2/run_experiments.py

adijo/ift6135-rnn

88ebcd621cea4042f5ada688f2452ce25d02b761

[ "Apache-2.0" ]

null

import subprocess def main(): # Since they were too big for git, the saved models (best parameters) for experiments 1, 2 and 3 can be found on # https://drive.google.com/drive/folders/1CeaePSAqsOERrAY6zxIqkVKJm75TyB1q?usp=sharing experiments = [ # Experiment 1 "python ptb-lm.py --model=RNN --optimizer=ADAM --initial_lr=0.0001 --batch_size=20 --seq_len=35 --hidden_size=1500 --num_layers=2 --dp_keep_prob=0.35 --save_best", # Experiment 2 "python ptb-lm.py --model=GRU --optimizer=SGD_LR_SCHEDULE --initial_lr=10 --batch_size=20 --seq_len=35 --hidden_size=1500 --num_layers=2 --dp_keep_prob=0.35 --save_best", # Experiment 3 "python ptb-lm.py --model=TRANSFORMER --optimizer=SGD_LR_SCHEDULE --initial_lr=20 --batch_size=128 --seq_len=35 --hidden_size=512 --num_layers=6 --dp_keep_prob=0.9", # Experiment 4 "python ptb-lm.py --model=GRU --optimizer=SGD --initial_lr=10 --batch_size=20 --seq_len=35 --hidden_size=1500 --num_layers=2 --dp_keep_prob=0.35", # Experiment 5 "python ptb-lm.py --model=GRU --optimizer=ADAM --initial_lr=0.0001 --batch_size=20 --seq_len=35 --hidden_size=1500 --num_layers=2 --dp_keep_prob=0.35", # Experiment 6 "python ptb-lm.py --model=GRU --optimizer=SGD_LR_SCHEDULE --initial_lr=10 --batch_size=20 --seq_len=35 --hidden_size=1500 --num_layers=2 --dp_keep_prob=0.35", # Experiment 7 "python ptb-lm.py --model=TRANSFORMER --optimizer=SGD --initial_lr=20 --batch_size=128 --seq_len=35 --hidden_size=512 --num_layers=6 --dp_keep_prob=0.9", # Experiment 8 "python ptb-lm.py --model=TRANSFORMER --optimizer=ADAM --initial_lr=0.001 --batch_size=128 --seq_len=35 --hidden_size=512 --num_layers=2 --dp_keep_prob=0.9", # Experiment 9 "python ptb-lm.py --model=TRANSFORMER --optimizer=SGD_LR_SCHEDULE --initial_lr=20 --batch_size=128 --seq_len=35 --hidden_size=512 --num_layers=6 --dp_keep_prob=0.9", # Experiment 10 "python ptb-lm.py --model=RNN --optimizer=SGD --initial_lr=0.0004 --batch_size=20 --seq_len=35 --hidden_size=1500 --num_layers=2 --dp_keep_prob=0.35", # Experiment 11 "python ptb-lm.py --model=RNN --optimizer=SGD_LR_SCHEDULE --initial_lr=5 --batch_size=20 --seq_len=35 --hidden_size=512 --num_layers=2 --dp_keep_prob=0.35", # Experiment 12 "python ptb-lm.py --model=RNN --optimizer=ADAM --initial_lr=0.0001 --batch_size=20 --seq_len=35 --hidden_size=1500 --num_layers=2 --dp_keep_prob=0.5", # Experiment 13 "python ptb-lm.py --model=GRU --optimizer=SGD --initial_lr=10 --batch_size=20 --seq_len=35 --hidden_size=1500 --num_layers=2 --dp_keep_prob=0.25", # Experiment 14 "python ptb-lm.py --model=GRU --optimizer=SGD_LR_SCHEDULE --initial_lr=15 --batch_size=20 --seq_len=35 --hidden_size=1500 --num_layers=2 --dp_keep_prob=0.35", # Experiment 15 "python ptb-lm.py --model=GRU --optimizer=ADAM --initial_lr=0.0001 --batch_size=20 --seq_len=35 --hidden_size=1400 --num_layers=2 --dp_keep_prob=0.35", # Experiment 16 "python ptb-lm.py --model=TRANSFORMER --optimizer=SGD --initial_lr=20 --batch_size=256 --seq_len=35 --hidden_size=256 --num_layers=6 --dp_keep_prob=0.85", # Experiment 17 "python ptb-lm.py --model=TRANSFORMER --optimizer=SGD_LR_SCHEDULE --initial_lr=20 --batch_size=256 --seq_len=35 --hidden_size=256 --num_layers=6 --dp_keep_prob=0.85", # Experiment 18 "python ptb-lm.py --model=TRANSFORMER --optimizer=ADAM --initial_lr=0.001 --batch_size=256 --seq_len=35 --hidden_size=128 --num_layers=2 --dp_keep_prob=0.9" ] for command in experiments: for message in run_command(command): print(message, end="") def run_command(cmd): popen = subprocess.Popen(cmd, stdout=subprocess.PIPE, universal_newlines=True) for stdout_line in iter(popen.stdout.readline, ""): yield stdout_line popen.stdout.close() popen.wait() if __name__ == '__main__': main()

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178

0.679753

648

4,050

4.009259

0.166667

0.062356

0.076212

0.090069

0.801386

0.790223

0.743649

0.726328

0

0.087983

0.163704

4,050

60

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67.5

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0.060606

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0.030303

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0

null

0

1

0

1

0

null

0

8

6d05909c872f5a2f3ad4e99579da8424d2a70ac9

240

py

Python

nextcord/ext/interactions/user/user_command.py

abrahammurciano/nextcord

e55be422a1b923fc498b04f82172d5a0d263eb71

[ "MIT" ]

null

nextcord/ext/interactions/user/user_command.py

abrahammurciano/nextcord

e55be422a1b923fc498b04f82172d5a0d263eb71

[ "MIT" ]

null

nextcord/ext/interactions/user/user_command.py

abrahammurciano/nextcord

e55be422a1b923fc498b04f82172d5a0d263eb71

[ "MIT" ]

null

from nextcord.ext.interactions.application_command import ApplicationCommand class UserCommand(ApplicationCommand): """ TODO: Implement https://discord.com/developers/docs/interactions/application-commands#user-commands """

34.285714

87

0.7875

23

240

8.173913

0.826087

0.244681

0

0.1125

240

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0.882629

0.4125

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7

6d225d1d34bd1b59c055f92ad6d726279caafb23

3,716

py

Python

tests/test_blackjack.py

ThatClyde/Simple_BlackJack

e7fb8557b61cd053964ca1cbc21d343330d661b1

[ "MIT" ]

null

tests/test_blackjack.py

ThatClyde/Simple_BlackJack

e7fb8557b61cd053964ca1cbc21d343330d661b1

[ "MIT" ]

null

tests/test_blackjack.py

ThatClyde/Simple_BlackJack

e7fb8557b61cd053964ca1cbc21d343330d661b1

[ "MIT" ]

null

import unittest from decimal import Decimal from utils import blackjack_test from models import Player, Hand, Card class Test_blackjack_test(unittest.TestCase): def setup_player_non_blackjack(self): player = Player() player.bet = Decimal(1.00) player.money = Decimal(1.00) card1 = Card('Hearts', 'Jack') card2 = Card('Hearts', 'King') player_hand = Hand() player_hand.add_card(card1) player_hand.add_card(card2) dealer_hand = Hand() return player, player_hand, dealer_hand def setup_player_blackjack(self): player = Player() player.bet = Decimal(1.00) player.money = Decimal(1.00) card1 = Card('Hearts', 'Jack') card2 = Card('Hearts', 'Ace') dealer_hand = Hand() player_hand = Hand() player_hand.add_card(card1) player_hand.add_card(card2) return player, player_hand, dealer_hand def setup_dealer_blackjack(self): player = Player() player.bet = Decimal(1.00) player.money = Decimal(1.00) card1 = Card('Hearts', 'Jack') card2 = Card('Hearts', 'Ace') dealer_hand = Hand() player_hand = Hand() dealer_hand.add_card(card1) dealer_hand.add_card(card2) return player, player_hand, dealer_hand def setup_dual_blackjack_scenario(self): player = Player() player.bet = Decimal(1.00) player.money = Decimal(1.00) card1 = Card('Hearts', 'Jack') card2 = Card('Hearts', 'Ace') dealer_hand = Hand() player_hand = Hand() dealer_hand.add_card(card1) dealer_hand.add_card(card2) player_hand.add_card(card1) player_hand.add_card(card2) return player, player_hand, dealer_hand def test_blackjack_no_blackjack_returns_false(self): player, player_hand, dealer_hand = self.setup_player_non_blackjack() self.assertFalse(blackjack_test(player, player_hand, dealer_hand)) def test_blackjack_with_blackjack_return_true(self): player, player_hand, dealer_hand = self.setup_player_blackjack() self.assertTrue(blackjack_test(player, player_hand, dealer_hand)) def test_blackjack_with_dual_blackjacks_return_true(self): player, player_hand, dealer_hand = self.setup_dual_blackjack_scenario() self.assertTrue(blackjack_test(player, player_hand, dealer_hand)) def test_blackjack_with_dual_blackjack_money_lost(self): player, player_hand, dealer_hand = self.setup_dual_blackjack_scenario() blackjack_test(player, player_hand, dealer_hand) self.assertEqual(player.money, Decimal(0)) def test_blackjack_with_blackjack_wins_increment(self): player, player_hand, dealer_hand = self.setup_player_blackjack() blackjack_test(player, player_hand, dealer_hand) self.assertEqual(player.wins, 1) def test_blackjack_with_blackjack_money_added(self): player, player_hand, dealer_hand = self.setup_player_blackjack() blackjack_test(player, player_hand, dealer_hand) self.assertEqual(player.money, Decimal(2.5)) def test_blackjack_with_dealer_blackjack_money_lost(self): player, player_hand, dealer_hand = self.setup_dealer_blackjack() blackjack_test(player, player_hand, dealer_hand) self.assertEqual(player.money, Decimal(0)) def test_blackjack_with_dealer_blackjack_return_true(self): player, player_hand, dealer_hand = self.setup_dealer_blackjack() self.assertTrue(blackjack_test(player, player_hand, dealer_hand))

36.431373

79

0.672497

454

3,716

5.169604

0.105727

0.132084

0.131231

0.187473

0.897316

0.859395

0.845761

0.823179

0.804005

0

0.016561

0.236276

3,716

101

80

36.792079

0.81043

0

0.721519

0

0.020721

0

0.101266

1

0.151899

false

0

0.050633

0

0.265823

0

null

0

1

0

1

0

null

0

8

6d39c1004ff4c9f1d3e5f96be220e148865aada2

261,876

py

Python

com/vmware/vcenter/lcm_client.py

vishal-12/vsphere-automation-sdk-python

9cf363971db77ea5a12928eecd5cf5170a7fcd8a

[ "MIT" ]

null

com/vmware/vcenter/lcm_client.py

vishal-12/vsphere-automation-sdk-python

9cf363971db77ea5a12928eecd5cf5170a7fcd8a

[ "MIT" ]

null

com/vmware/vcenter/lcm_client.py

vishal-12/vsphere-automation-sdk-python

9cf363971db77ea5a12928eecd5cf5170a7fcd8a

[ "MIT" ]

null

# -*- coding: utf-8 -*- #--------------------------------------------------------------------------- # Copyright 2019 VMware, Inc. All rights reserved. # AUTO GENERATED FILE -- DO NOT MODIFY! # # vAPI stub file for package com.vmware.vcenter.lcm. #--------------------------------------------------------------------------- """ """ __author__ = 'VMware, Inc.' __docformat__ = 'restructuredtext en' import sys from com.vmware.cis_client import Tasks from vmware.vapi.stdlib.client.task import Task from vmware.vapi.bindings import type from vmware.vapi.bindings.converter import TypeConverter from vmware.vapi.bindings.enum import Enum from vmware.vapi.bindings.error import VapiError from vmware.vapi.bindings.struct import VapiStruct from vmware.vapi.bindings.stub import ( ApiInterfaceStub, StubFactoryBase, VapiInterface) from vmware.vapi.bindings.common import raise_core_exception from vmware.vapi.data.validator import (UnionValidator, HasFieldsOfValidator) from vmware.vapi.exception import CoreException from vmware.vapi.lib.constants import TaskType from vmware.vapi.lib.rest import OperationRestMetadata class ApplianceSize(Enum): """ The size of appliance to be deployed. .. note:: This class represents an enumerated type in the interface language definition. The class contains class attributes which represent the values in the current version of the enumerated type. Newer versions of the enumerated type may contain new values. To use new values of the enumerated type in communication with a server that supports the newer version of the API, you instantiate this class. See :ref:`enumerated type description page <enumeration_description>`. """ TINY = None """ Appliance size of 'tiny', Default vCPUs: 2, Memory: 8GB, VM: 100, Hosts: 10 """ SMALL = None """ Appliance size of 'small', Default vCPUs: 4, Memory: 16GB, VM: 1000, Hosts: 100 """ MEDIUM = None """ Appliance size of 'medium', Default vCPUs: 8, Memory: 24GB, VM: 4000, Hosts: 400 """ LARGE = None """ Appliance size of 'large', Default vCPUs: 16, Memory: 32GB, VM: 10000, Hosts: 1000 """ XLARGE = None """ Appliance size of 'extra large', Default vCPUs: 24, Memory: 48GB, VM: 35000, Hosts: 2000 """ def __init__(self, string): """ :type string: :class:`str` :param string: String value for the :class:`ApplianceSize` instance. """ Enum.__init__(string) ApplianceSize._set_values([ ApplianceSize('TINY'), ApplianceSize('SMALL'), ApplianceSize('MEDIUM'), ApplianceSize('LARGE'), ApplianceSize('XLARGE'), ]) ApplianceSize._set_binding_type(type.EnumType( 'com.vmware.vcenter.lcm.appliance_size', ApplianceSize)) class ApplianceType(Enum): """ The type of appliance to be deployed. .. note:: This class represents an enumerated type in the interface language definition. The class contains class attributes which represent the values in the current version of the enumerated type. Newer versions of the enumerated type may contain new values. To use new values of the enumerated type in communication with a server that supports the newer version of the API, you instantiate this class. See :ref:`enumerated type description page <enumeration_description>`. """ VCSA_EXTERNAL = None """ Management node. """ VCSA_EMBEDDED = None """ Embedded node. """ PSC = None """ Infrastructure node. """ VMC = None """ VMC node. """ def __init__(self, string): """ :type string: :class:`str` :param string: String value for the :class:`ApplianceType` instance. """ Enum.__init__(string) ApplianceType._set_values([ ApplianceType('VCSA_EXTERNAL'), ApplianceType('VCSA_EMBEDDED'), ApplianceType('PSC'), ApplianceType('VMC'), ]) ApplianceType._set_binding_type(type.EnumType( 'com.vmware.vcenter.lcm.appliance_type', ApplianceType)) class StorageSize(Enum): """ The storage size of the appliance to be deployed. .. note:: This class represents an enumerated type in the interface language definition. The class contains class attributes which represent the values in the current version of the enumerated type. Newer versions of the enumerated type may contain new values. To use new values of the enumerated type in communication with a server that supports the newer version of the API, you instantiate this class. See :ref:`enumerated type description page <enumeration_description>`. """ LARGE = None """ Large storage """ XLARGE = None """ Extra large storage """ REGULAR = None """ Regular storage """ def __init__(self, string): """ :type string: :class:`str` :param string: String value for the :class:`StorageSize` instance. """ Enum.__init__(string) StorageSize._set_values([ StorageSize('LARGE'), StorageSize('XLARGE'), StorageSize('REGULAR'), ]) StorageSize._set_binding_type(type.EnumType( 'com.vmware.vcenter.lcm.storage_size', StorageSize)) class CeipOnlySso(VapiStruct): """ The SSO definition that only contains CEIP setting. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, ceip_enabled=None, ): """ :type ceip_enabled: :class:`bool` or ``None`` :param ceip_enabled: This key describes the enabling option for the VMware's Customer Experience Improvement Program (CEIP). By default we have ``ceipEnabled``: true, which indicates that you are joining CEIP. If you prefer not to participate in the VMware's CEIP for this product, you must disable CEIP by setting ``ceipEnabled``: false. You may join or leave VMware's CEIP for this product at any time. If None, defaults to True """ self.ceip_enabled = ceip_enabled VapiStruct.__init__(self) CeipOnlySso._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.ceip_only_sso', { 'ceip_enabled': type.OptionalType(type.BooleanType()), }, CeipOnlySso, False, None)) class Connection(VapiStruct): """ Connection information for source/destination location. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, hostname=None, username=None, password=None, https_port=None, ssl_verify=None, ssl_thumbprint=None, ): """ :type hostname: :class:`str` :param hostname: The IP address or DNS resolvable name of the ESX/VC host. If a DNS resolvable name is provided, it must be resolvable from the machine that is running the installer. :type username: :class:`str` :param username: A username with administrative privileges on the ESX/VC host. :type password: :class:`str` :param password: The password of the 'username' on the ESX/VC host. :type https_port: :class:`long` or ``None`` :param https_port: The port number for the ESX/VC. If None, defaults to 443 :type ssl_verify: :class:`bool` or ``None`` :param ssl_verify: A flag to indicate whether the ssl verification is required. If ``sslThumbprint`` is provided, this field can be omitted If None, defaults to True :type ssl_thumbprint: :class:`str` or ``None`` :param ssl_thumbprint: Thumbprint for SSL verification. If ``sslVerify`` if false, this field is not required """ self.hostname = hostname self.username = username self.password = password self.https_port = https_port self.ssl_verify = ssl_verify self.ssl_thumbprint = ssl_thumbprint VapiStruct.__init__(self) Connection._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.connection', { 'hostname': type.StringType(), 'username': type.StringType(), 'password': type.SecretType(), 'https_port': type.OptionalType(type.IntegerType()), 'ssl_verify': type.OptionalType(type.BooleanType()), 'ssl_thumbprint': type.OptionalType(type.StringType()), }, Connection, False, None)) class DeploymentInfo(VapiStruct): """ Information about the appliance deployed. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, appliance_name=None, appliance_fqdn=None, appliance_ips=None, ): """ :type appliance_name: :class:`str` :param appliance_name: The name of the appliance. :type appliance_fqdn: :class:`str` or ``None`` :param appliance_fqdn: The FQDN of the appliance. Not applicable before firstboot. :type appliance_ips: :class:`list` of :class:`str` or ``None`` :param appliance_ips: The ip addresses of the appliance. Not applicable before firstboot. """ self.appliance_name = appliance_name self.appliance_fqdn = appliance_fqdn self.appliance_ips = appliance_ips VapiStruct.__init__(self) DeploymentInfo._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.deployment_info', { 'appliance_name': type.StringType(), 'appliance_fqdn': type.OptionalType(type.StringType()), 'appliance_ips': type.OptionalType(type.ListType(type.StringType())), }, DeploymentInfo, False, None)) class DeploymentOption(VapiStruct): """ Container to control deployment. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, skip_options=None, ): """ :type skip_options: :class:`dict` of :class:`DeploymentOption.SkipOptions` and :class:`bool` :param skip_options: The options control if a task should be skipped. """ self.skip_options = skip_options VapiStruct.__init__(self) class SkipOptions(Enum): """ Skippable tasks. .. note:: This class represents an enumerated type in the interface language definition. The class contains class attributes which represent the values in the current version of the enumerated type. Newer versions of the enumerated type may contain new values. To use new values of the enumerated type in communication with a server that supports the newer version of the API, you instantiate this class. See :ref:`enumerated type description page <enumeration_description>`. """ SKIP_SSO_CHECK = None """ Skips the sso check. This should only be used when performing precheck for install/upgrade of management node before infrastructure node is deployed. """ def __init__(self, string): """ :type string: :class:`str` :param string: String value for the :class:`SkipOptions` instance. """ Enum.__init__(string) SkipOptions._set_values([ SkipOptions('SKIP_SSO_CHECK'), ]) SkipOptions._set_binding_type(type.EnumType( 'com.vmware.vcenter.lcm.deployment_option.skip_options', SkipOptions)) DeploymentOption._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.deployment_option', { 'skip_options': type.MapType(type.ReferenceType(__name__, 'DeploymentOption.SkipOptions'), type.BooleanType()), }, DeploymentOption, False, None)) class DestinationLocation(VapiStruct): """ Configuration of destination location. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, esx=None, vcenter=None, ): """ :type esx: :class:`Esx` or ``None`` :param esx: This section describes the ESX host on which to deploy the appliance. Required if you are deploying the appliance directly on an ESX host. Mutual exclusive between ``esx`` and ``vcenter`` :type vcenter: :class:`Vc` or ``None`` :param vcenter: This subsection describes the vCenter on which to deploy the appliance. Mutual exclusive between ``esx`` and ``vcenter`` """ self.esx = esx self.vcenter = vcenter VapiStruct.__init__(self) DestinationLocation._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.destination_location', { 'esx': type.OptionalType(type.ReferenceType(__name__, 'Esx')), 'vcenter': type.OptionalType(type.ReferenceType(__name__, 'Vc')), }, DestinationLocation, False, None)) class EmbeddedReplicatedVcsa(VapiStruct): """ Configuration of the replicated Single Sign-On for Embedded type deployment. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, sso_admin_password=None, sso_domain_name=None, partner_hostname=None, ssl_verify=None, ssl_thumbprint=None, https_port=None, ): """ :type sso_admin_password: :class:`str` :param sso_admin_password: Administrator password of the existing Single Sign-On to be replicated. :type sso_domain_name: :class:`str` :param sso_domain_name: Domain name for the remote appliance which is being replicated. For example, 'vsphere.local' :type partner_hostname: :class:`str` :param partner_hostname: The IP address or DNS resolvable name for the remote appliance. :type ssl_verify: :class:`bool` or ``None`` :param ssl_verify: A flag to indicate whether the ssl verification is required. If ``sslThumbprint`` is provided, this field can be omitted If None, defaults to True :type ssl_thumbprint: :class:`str` or ``None`` :param ssl_thumbprint: SHA1 thumbprint of the server SSL certificate which will be used for verification. If ``sslVerify`` is set to False, this field can be omitted :type https_port: :class:`long` or ``None`` :param https_port: The HTTPS port of the external PSC appliance. If None, defaults to 443 """ self.sso_admin_password = sso_admin_password self.sso_domain_name = sso_domain_name self.partner_hostname = partner_hostname self.ssl_verify = ssl_verify self.ssl_thumbprint = ssl_thumbprint self.https_port = https_port VapiStruct.__init__(self) EmbeddedReplicatedVcsa._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.embedded_replicated_vcsa', { 'sso_admin_password': type.SecretType(), 'sso_domain_name': type.StringType(), 'partner_hostname': type.StringType(), 'ssl_verify': type.OptionalType(type.BooleanType()), 'ssl_thumbprint': type.OptionalType(type.StringType()), 'https_port': type.OptionalType(type.IntegerType()), }, EmbeddedReplicatedVcsa, False, None)) class EmbeddedStandaloneVcsa(VapiStruct): """ Configuration of the standalone Single Sign-On for Embedded type deployment. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, sso_admin_password=None, sso_domain_name=None, ): """ :type sso_admin_password: :class:`str` :param sso_admin_password: Password must conform to the following requirements: 1. At least 8 characters. 2. No more than 20 characters. 3. At least 1 uppercase character. 4. At least 1 lowercase character. 5. At least 1 number. 6. At least 1 special character (e.g., '!', '(', '\\\\@', etc.). 7. Only visible A-Z, a-z, 0-9 and punctuation (spaces are not allowed) :type sso_domain_name: :class:`str` :param sso_domain_name: The Single Sign-On domain name to be used to configure this vCenter Server Appliance. For example, 'vsphere.local' """ self.sso_admin_password = sso_admin_password self.sso_domain_name = sso_domain_name VapiStruct.__init__(self) EmbeddedStandaloneVcsa._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.embedded_standalone_vcsa', { 'sso_admin_password': type.SecretType(), 'sso_domain_name': type.StringType(), }, EmbeddedStandaloneVcsa, False, None)) class Esx(VapiStruct): """ Configuration of ESX. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, connection=None, inventory=None, ): """ :type connection: :class:`Connection` :param connection: The configuration to connect to an ESX/VC. :type inventory: :class:`EsxInventory` :param inventory: The configuration of ESX inventory. """ self.connection = connection self.inventory = inventory VapiStruct.__init__(self) Esx._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.esx', { 'connection': type.ReferenceType(__name__, 'Connection'), 'inventory': type.ReferenceType(__name__, 'EsxInventory'), }, Esx, False, None)) class EsxInventory(VapiStruct): """ Configuration of ESX's inventory. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, datastore_name=None, network_name=None, resource_pool_path=None, ): """ :type datastore_name: :class:`str` :param datastore_name: The datastore on which to store the files of the appliance. This value has to be either a specific datastore name, or a specific datastore in a datastore cluster. The datastore must be accessible from the ESX host and must have at least 25 GB of free space. Otherwise, the new appliance might not power on. :type network_name: :class:`str` or ``None`` :param network_name: The network of the ESX host to which the new appliance should connect. Omit this parameter if the ESX host has one network. If None, defaults to VM Network :type resource_pool_path: :class:`str` or ``None`` :param resource_pool_path: The path to the resource pool on the ESX host in which the appliance will be deployed. Not applicable when not in resource pool """ self.datastore_name = datastore_name self.network_name = network_name self.resource_pool_path = resource_pool_path VapiStruct.__init__(self) EsxInventory._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.esx_inventory', { 'datastore_name': type.StringType(), 'network_name': type.OptionalType(type.StringType()), 'resource_pool_path': type.OptionalType(type.StringType()), }, EsxInventory, False, None)) class ExistingMigrationAssistant(VapiStruct): """ Configuration of the migration assistant that is already running on the source Windows VC. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, ssl_thumbprint=None, https_port=None, ): """ :type ssl_thumbprint: :class:`str` :param ssl_thumbprint: The SSL thumbprint of Migration Assistant. The SSL thumbprint can be retrieved from the Migration Assistant console and log file. :type https_port: :class:`long` or ``None`` :param https_port: Migration Assistant port number shown in the Migration Assistant console and log file. The default port is 9123. If None, defaults to 9123 """ self.ssl_thumbprint = ssl_thumbprint self.https_port = https_port VapiStruct.__init__(self) ExistingMigrationAssistant._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.existing_migration_assistant', { 'ssl_thumbprint': type.StringType(), 'https_port': type.OptionalType(type.IntegerType()), }, ExistingMigrationAssistant, False, None)) class ExternalTool(VapiStruct): """ Configuration of the external tools used. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, name=None, hostname=None, location=None, ): """ :type name: :class:`str` :param name: The name of the external tool :type hostname: :class:`str` or ``None`` :param hostname: The host name of the external tool. Can be absent when external tool does not have a host name. :type location: :class:`str` :param location: The location of the external tool. """ self.name = name self.hostname = hostname self.location = location VapiStruct.__init__(self) ExternalTool._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.external_tool', { 'name': type.StringType(), 'hostname': type.OptionalType(type.StringType()), 'location': type.StringType(), }, ExternalTool, False, None)) class ExternalVcsa(VapiStruct): """ Configuration of the Single Sign-On for Management type deployment. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, sso_admin_password=None, sso_domain_name=None, psc_hostname=None, ssl_verify=None, ssl_thumbprint=None, https_port=None, ): """ :type sso_admin_password: :class:`str` :param sso_admin_password: Administrator password of the external PSC to register with. :type sso_domain_name: :class:`str` :param sso_domain_name: Domain name of the external PSC. For example, 'vsphere.local' :type psc_hostname: :class:`str` :param psc_hostname: The IP address or DNS resolvable name of the remote PSC to which this configuring vCenter Server will be registered. :type ssl_verify: :class:`bool` or ``None`` :param ssl_verify: A flag to indicate whether the SSL verification is required If ``sslThumbprint`` is provided, this field can be omitted If None, defaults to False :type ssl_thumbprint: :class:`str` or ``None`` :param ssl_thumbprint: SHA1 thumbprint of the server SSL certificate which will be used for verification. If ``sslVerify`` is set to False, this field can be omitted. :type https_port: :class:`long` or ``None`` :param https_port: The HTTPS port of the external PSC appliance. If None, defaults to 443 """ self.sso_admin_password = sso_admin_password self.sso_domain_name = sso_domain_name self.psc_hostname = psc_hostname self.ssl_verify = ssl_verify self.ssl_thumbprint = ssl_thumbprint self.https_port = https_port VapiStruct.__init__(self) ExternalVcsa._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.external_vcsa', { 'sso_admin_password': type.SecretType(), 'sso_domain_name': type.StringType(), 'psc_hostname': type.StringType(), 'ssl_verify': type.OptionalType(type.BooleanType()), 'ssl_thumbprint': type.OptionalType(type.StringType()), 'https_port': type.OptionalType(type.IntegerType()), }, ExternalVcsa, False, None)) class GuestCredential(VapiStruct): """ Configuration of the guest credential. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, os_username=None, os_password=None, ): """ :type os_username: :class:`str` :param os_username: Administrator username for the source Windows operating system. :type os_password: :class:`str` :param os_password: Administrator user password for the source Windows operating system. """ self.os_username = os_username self.os_password = os_password VapiStruct.__init__(self) GuestCredential._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.guest_credential', { 'os_username': type.StringType(), 'os_password': type.SecretType(), }, GuestCredential, False, None)) class History(VapiStruct): """ Configuration of the data to be exported during upgrade/migrate. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, defer_import=None, data_set=None, ): """ :type defer_import: :class:`bool` or ``None`` :param defer_import: A flag to indicate whether the import of historical data should be deferred until after upgrade/migrate. If None, defaults to False :type data_set: :class:`History.DataSetType` or ``None`` :param data_set: The type of data to be upgraded/migrated. If None, defaults to ALL """ self.defer_import = defer_import self.data_set = data_set VapiStruct.__init__(self) class DataSetType(Enum): """ The type of data to be upgraded/migrated. .. note:: This class represents an enumerated type in the interface language definition. The class contains class attributes which represent the values in the current version of the enumerated type. Newer versions of the enumerated type may contain new values. To use new values of the enumerated type in communication with a server that supports the newer version of the API, you instantiate this class. See :ref:`enumerated type description page <enumeration_description>`. """ EVENTS_TASKS = None """ event data and task data. """ NONE = None """ core only. """ ALL = None """ core, event and task data. """ def __init__(self, string): """ :type string: :class:`str` :param string: String value for the :class:`DataSetType` instance. """ Enum.__init__(string) DataSetType._set_values([ DataSetType('EVENTS_TASKS'), DataSetType('NONE'), DataSetType('ALL'), ]) DataSetType._set_binding_type(type.EnumType( 'com.vmware.vcenter.lcm.history.data_set_type', DataSetType)) History._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.history', { 'defer_import': type.OptionalType(type.BooleanType()), 'data_set': type.OptionalType(type.ReferenceType(__name__, 'History.DataSetType')), }, History, False, None)) class MigrationAssistant(VapiStruct): """ Configuration of the migration assistant to be uploaded and started on source Windows VC. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, source_location=None, settings=None, guest_credentials=None, migration_assistant_installer_location=None, migration_assistant_installer_location_ssl_verify=None, migration_assistant_installer_location_ssl_thumbprint=None, ): """ :type source_location: :class:`Connection` :param source_location: The configuration to connect to an ESX/VC. :type settings: :class:`MigrationAssistantSetting` :param settings: Spec to automatically launch the Migration Assistant. :type guest_credentials: :class:`GuestCredential` :param guest_credentials: Credentials for the Windows system on which the vCenter server is running. :type migration_assistant_installer_location: :class:`str` or ``None`` :param migration_assistant_installer_location: Installer location of the migration assistant to be uploaded. :type migration_assistant_installer_location_ssl_verify: :class:`bool` or ``None`` :param migration_assistant_installer_location_ssl_verify: A flag to indicate whether to verify ssl connection. when SSL thumbprint is provided, SSL verify is not required. :type migration_assistant_installer_location_ssl_thumbprint: :class:`str` or ``None`` :param migration_assistant_installer_location_ssl_thumbprint: SSL thumbprint of the source appliance. if ssl verify is set to False, thumbprint is not required. """ self.source_location = source_location self.settings = settings self.guest_credentials = guest_credentials self.migration_assistant_installer_location = migration_assistant_installer_location self.migration_assistant_installer_location_ssl_verify = migration_assistant_installer_location_ssl_verify self.migration_assistant_installer_location_ssl_thumbprint = migration_assistant_installer_location_ssl_thumbprint VapiStruct.__init__(self) MigrationAssistant._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.migration_assistant', { 'source_location': type.ReferenceType(__name__, 'Connection'), 'settings': type.ReferenceType(__name__, 'MigrationAssistantSetting'), 'guest_credentials': type.ReferenceType(__name__, 'GuestCredential'), 'migration_assistant_installer_location': type.OptionalType(type.StringType()), 'migration_assistant_installer_location_ssl_verify': type.OptionalType(type.BooleanType()), 'migration_assistant_installer_location_ssl_thumbprint': type.OptionalType(type.StringType()), }, MigrationAssistant, False, None)) class MigrationAssistantSetting(VapiStruct): """ Configuration of the setting of migration assistant to be uploaded and started on source Windows VC. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, migrated_ip=None, https_port=None, export_dir=None, service_account_password=None, ): """ :type migrated_ip: :class:`str` or ``None`` :param migrated_ip: The IP address of the network adapter that will be migrated. Only required if the Windows vCenter Server has multiple network adapters, making its system name resolve to multiple IP addresses. May not be applicable. :type https_port: :class:`long` or ``None`` :param https_port: Migration Assistant port number shown in the Migration Assistant console. The default port is 9123 If None, defaults to 9123 :type export_dir: :class:`str` or ``None`` :param export_dir: Directory to export source configuration and data. Optional. If None, defaults to /var/tmp :type service_account_password: :class:`str` or ``None`` :param service_account_password: The password of the vCenter Server service account. Required only if the vCenter Server service is running under a non LocalSystem account. Service account may not be applicable """ self.migrated_ip = migrated_ip self.https_port = https_port self.export_dir = export_dir self.service_account_password = service_account_password VapiStruct.__init__(self) MigrationAssistantSetting._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.migration_assistant_setting', { 'migrated_ip': type.OptionalType(type.StringType()), 'https_port': type.OptionalType(type.IntegerType()), 'export_dir': type.OptionalType(type.StringType()), 'service_account_password': type.OptionalType(type.SecretType()), }, MigrationAssistantSetting, False, None)) class Network(VapiStruct): """ Network configuration of the appliance to be deployed. .. tip:: The arguments are used to initialize data attributes with the same names. """ _validator_list = [ UnionValidator( 'mode', { 'STATIC' : [('hostname', False), ('ip', True), ('dns_servers', True), ('prefix', True), ('gateway', True)], 'DHCP' : [], } ), ] def __init__(self, hostname=None, ip_family=None, mode=None, ip=None, dns_servers=None, prefix=None, gateway=None, ): """ :type hostname: :class:`str` or ``None`` :param hostname: Primary network identity. Can be either an IP address or a fully qualified domain name(FQDN). host name may not be applicable :type ip_family: :class:`TemporaryNetwork.IpType` or ``None`` :param ip_family: Network IP address family. If None, defaults to IPV4 :type mode: :class:`TemporaryNetwork.NetworkMode` :param mode: Network mode. :type ip: :class:`str` :param ip: Network IP address. Required for static mode only. This attribute is optional and it is only relevant when the value of ``mode`` is :attr:`TemporaryNetwork.NetworkMode.STATIC`. :type dns_servers: :class:`list` of :class:`str` :param dns_servers: A comma-separated list of IP addresses of DNS servers. A JSON array such as ["1.2.3.4", "127.0.0.1"]. Required for static mode only. DNS servers must be reachable from the machine that runs CLI installer This attribute is optional and it is only relevant when the value of ``mode`` is :attr:`TemporaryNetwork.NetworkMode.STATIC`. :type prefix: :class:`long` :param prefix: Network prefix length. Required for static mode only. Remove if the mode is "dhcp". This is the number of bits set in the subnet mask; for instance, if the subnet mask is 255.255.255.0, there are 24 bits in the binary version of the subnet mask, so the prefix length is 24. If used, the values must be in the inclusive range of 0 to 32 for IPv4 and 0 to 128 for IPv6. Required for static mode only. This attribute is optional and it is only relevant when the value of ``mode`` is :attr:`TemporaryNetwork.NetworkMode.STATIC`. :type gateway: :class:`str` :param gateway: Gateway of the network. Required for static mode only. This attribute is optional and it is only relevant when the value of ``mode`` is :attr:`TemporaryNetwork.NetworkMode.STATIC`. """ self.hostname = hostname self.ip_family = ip_family self.mode = mode self.ip = ip self.dns_servers = dns_servers self.prefix = prefix self.gateway = gateway VapiStruct.__init__(self) Network._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.network', { 'hostname': type.OptionalType(type.StringType()), 'ip_family': type.OptionalType(type.ReferenceType(__name__, 'TemporaryNetwork.IpType')), 'mode': type.ReferenceType(__name__, 'TemporaryNetwork.NetworkMode'), 'ip': type.OptionalType(type.StringType()), 'dns_servers': type.OptionalType(type.ListType(type.StringType())), 'prefix': type.OptionalType(type.IntegerType()), 'gateway': type.OptionalType(type.StringType()), }, Network, False, None)) class Notification(VapiStruct): """ Notification messages of a single task. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, id=None, time=None, message=None, resolution=None, ): """ :type id: :class:`str` :param id: The identifier of the message. :type time: :class:`datetime.datetime` or ``None`` :param time: The time the notification was raised/found. Only :class:`set` if the time information is available. :type message: :class:`com.vmware.vapi.std_client.LocalizableMessage` :param message: The notification message. :type resolution: :class:`com.vmware.vapi.std_client.LocalizableMessage` or ``None`` :param resolution: The resolution message, if any. Only :class:`set` for warnings and errors. """ self.id = id self.time = time self.message = message self.resolution = resolution VapiStruct.__init__(self) Notification._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.notification', { 'id': type.StringType(), 'time': type.OptionalType(type.DateTimeType()), 'message': type.ReferenceType('com.vmware.vapi.std_client', 'LocalizableMessage'), 'resolution': type.OptionalType(type.ReferenceType('com.vmware.vapi.std_client', 'LocalizableMessage')), }, Notification, False, None)) class PscReplicated(VapiStruct): """ Configuration of the replicated Single Sign-On for PSC type deployment. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, sso_admin_password=None, sso_domain_name=None, partner_hostname=None, ssl_verify=None, ssl_thumbprint=None, https_port=None, sso_site_name=None, ): """ :type sso_admin_password: :class:`str` :param sso_admin_password: Administrator password of the PSC to be replicated. :type sso_domain_name: :class:`str` :param sso_domain_name: Domain name of the remote PSC. For example, 'vsphere.local' :type partner_hostname: :class:`str` :param partner_hostname: The IP address or DNS resolvable name of the remote PSC. :type ssl_verify: :class:`bool` or ``None`` :param ssl_verify: A flag to indicate whether the SSL verification is required. If ``sslThumbprint`` is provided, this field can be omitted If None, defaults to False :type ssl_thumbprint: :class:`str` or ``None`` :param ssl_thumbprint: SHA1 thumbprint of the server SSL certificate which will be used for verification. If ``sslVerify`` is set to False, this field can be omitted :type https_port: :class:`long` or ``None`` :param https_port: The HTTPS port of the remote PSC. If None, defaults to 443 :type sso_site_name: :class:`str` or ``None`` :param sso_site_name: Site name of the newly deployed PSC. Site name may not be applicable """ self.sso_admin_password = sso_admin_password self.sso_domain_name = sso_domain_name self.partner_hostname = partner_hostname self.ssl_verify = ssl_verify self.ssl_thumbprint = ssl_thumbprint self.https_port = https_port self.sso_site_name = sso_site_name VapiStruct.__init__(self) PscReplicated._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.psc_replicated', { 'sso_admin_password': type.SecretType(), 'sso_domain_name': type.StringType(), 'partner_hostname': type.StringType(), 'ssl_verify': type.OptionalType(type.BooleanType()), 'ssl_thumbprint': type.OptionalType(type.StringType()), 'https_port': type.OptionalType(type.IntegerType()), 'sso_site_name': type.OptionalType(type.StringType()), }, PscReplicated, False, None)) class PscStandalone(VapiStruct): """ Configuration of the standalone Single Sign-On for Embedded type deployment. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, sso_admin_password=None, sso_domain_name=None, sso_site_name=None, ): """ :type sso_admin_password: :class:`str` :param sso_admin_password: Password must conform to the following requirements: 1. At least 8 characters. 2. No more than 20 characters. 3. At least 1 uppercase character. 4. At least 1 lowercase character. 5. At least 1 number. 6. At least 1 special character (e.g., '!', '(', '\\\\@', etc.). 7. Only visible A-Z, a-z, 0-9 and punctuation (spaces are not allowed) :type sso_domain_name: :class:`str` :param sso_domain_name: Domain name of the newly deployed PSC. For example, 'vsphere.local' :type sso_site_name: :class:`str` or ``None`` :param sso_site_name: Site name of the PSC. Site name may not be applicable """ self.sso_admin_password = sso_admin_password self.sso_domain_name = sso_domain_name self.sso_site_name = sso_site_name VapiStruct.__init__(self) PscStandalone._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.psc_standalone', { 'sso_admin_password': type.SecretType(), 'sso_domain_name': type.StringType(), 'sso_site_name': type.OptionalType(type.StringType()), }, PscStandalone, False, None)) class Result(VapiStruct): """ Container of info, warning and error messages associated with a single task. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, info=None, warnings=None, errors=None, ): """ :type info: :class:`list` of :class:`Notification` or ``None`` :param info: Info notification messages reported. Only :class:`set` if an info was reported by the task. :type warnings: :class:`list` of :class:`Notification` or ``None`` :param warnings: Warning notification messages reported. Only :class:`set` if an warning was reported by the task. :type errors: :class:`list` of :class:`Notification` or ``None`` :param errors: Error notification messages reported. Only :class:`set` if an error was reported by the task. """ self.info = info self.warnings = warnings self.errors = errors VapiStruct.__init__(self) Result._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.result', { 'info': type.OptionalType(type.ListType(type.ReferenceType(__name__, 'Notification'))), 'warnings': type.OptionalType(type.ListType(type.ReferenceType(__name__, 'Notification'))), 'errors': type.OptionalType(type.ListType(type.ReferenceType(__name__, 'Notification'))), }, Result, False, None)) class SourceVcWindows(VapiStruct): """ Configuration of the source Windows VC. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, hostname=None, username=None, password=None, ssl_verify=None, ssl_thumbprint=None, ): """ :type hostname: :class:`str` :param hostname: The IP address or FQDN of the source Windows vCenter server to migrate. If an FQDN is provided, it must be resolvable from the machine that is running the installer. :type username: :class:`str` :param username: Single Sign-On administrator user on the source Windows vCenter server. For example, administrator\\\\@vsphere.local. Important: The user must be administrator\\\\@your_domain_name. :type password: :class:`str` :param password: The password of the Single Sign-On administrator on the source Windows vCenter server. :type ssl_verify: :class:`bool` or ``None`` :param ssl_verify: :type ssl_thumbprint: :class:`str` or ``None`` :param ssl_thumbprint: """ self.hostname = hostname self.username = username self.password = password self.ssl_verify = ssl_verify self.ssl_thumbprint = ssl_thumbprint VapiStruct.__init__(self) SourceVcWindows._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.source_vc_windows', { 'hostname': type.StringType(), 'username': type.StringType(), 'password': type.SecretType(), 'ssl_verify': type.OptionalType(type.BooleanType()), 'ssl_thumbprint': type.OptionalType(type.StringType()), }, SourceVcWindows, False, None)) class SourceVum(VapiStruct): """ Configuration of the source VUM. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, hostname=None, os_username=None, os_password=None, export_dir=None, port=None, start_migration_assistant=None, existing_migration_assistant=None, ): """ :type hostname: :class:`str` :param hostname: IP address or fully qualified domain name (FQDN) of the vSphere Update Manager host. If an FQDN is provided, it has to be resolvable from the machine that is running the installer. :type os_username: :class:`str` :param os_username: Administrator username for the source vSphere Update Manager Windows operating system. :type os_password: :class:`str` :param os_password: Administrator user password for the source vSphere Update Manager Windows operating system. :type export_dir: :class:`str` or ``None`` :param export_dir: Directory to export source configuration and data. If None, defaults to for mac/lin: /var/tmp, for windows: %TEMP% :type port: :class:`long` or ``None`` :param port: The port of the source vum. default to be 9123 :type start_migration_assistant: :class:`SourceVumMigrationAssistant` or ``None`` :param start_migration_assistant: Configuration of migration assistant to be deployed to the vSphere Upgrade Manager. Mutually exclusive between start migration assistant and existing migration assistant. :type existing_migration_assistant: :class:`ExistingMigrationAssistant` or ``None`` :param existing_migration_assistant: Configuration of migration assistant that are already running on the vSphere Upgrade Manager. """ self.hostname = hostname self.os_username = os_username self.os_password = os_password self.export_dir = export_dir self.port = port self.start_migration_assistant = start_migration_assistant self.existing_migration_assistant = existing_migration_assistant VapiStruct.__init__(self) SourceVum._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.source_vum', { 'hostname': type.StringType(), 'os_username': type.StringType(), 'os_password': type.SecretType(), 'export_dir': type.OptionalType(type.StringType()), 'port': type.OptionalType(type.IntegerType()), 'start_migration_assistant': type.OptionalType(type.ReferenceType(__name__, 'SourceVumMigrationAssistant')), 'existing_migration_assistant': type.OptionalType(type.ReferenceType(__name__, 'ExistingMigrationAssistant')), }, SourceVum, False, None)) class SourceVumMigrationAssistant(VapiStruct): """ Configuration of migration assistant to be deployed to the vSphere Upgrade Manager. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, installer_location=None, installer_location_ssl_verify=None, installer_location_ssl_thumbprint=None, ): """ :type installer_location: :class:`str` or ``None`` :param installer_location: Location of the installer of migration assistant to be uploaded to the source vSphere Update Manager. Mutually exclusive between start migration assistant and existing migration assistant. :type installer_location_ssl_verify: :class:`bool` or ``None`` :param installer_location_ssl_verify: A flag to indicate whether to verify ssl connection of the location of the installer of migration assistant. when SSL thumbprint is provided, SSL verify is not required. :type installer_location_ssl_thumbprint: :class:`str` or ``None`` :param installer_location_ssl_thumbprint: SSL thumbprint of the location of the installer of migration assistant. if ssl verify is set to False, thumbprint is not required. """ self.installer_location = installer_location self.installer_location_ssl_verify = installer_location_ssl_verify self.installer_location_ssl_thumbprint = installer_location_ssl_thumbprint VapiStruct.__init__(self) SourceVumMigrationAssistant._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.source_vum_migration_assistant', { 'installer_location': type.OptionalType(type.StringType()), 'installer_location_ssl_verify': type.OptionalType(type.BooleanType()), 'installer_location_ssl_thumbprint': type.OptionalType(type.StringType()), }, SourceVumMigrationAssistant, False, None)) class Ssh(VapiStruct): """ Setting to enable SSH on the deployed appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, enabled=None, ): """ :type enabled: :class:`bool` or ``None`` :param enabled: Whether to enable SSH. If None, defaults to False """ self.enabled = enabled VapiStruct.__init__(self) Ssh._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.ssh', { 'enabled': type.OptionalType(type.BooleanType()), }, Ssh, False, None)) class SubTaskInfo(VapiStruct): """ Container that contains the status information about a single task. .. tip:: The arguments are used to initialize data attributes with the same names. """ _validator_list = [ UnionValidator( 'status', { 'FAILED' : [('error', False), ('start_time', True), ('end_time', True)], 'RUNNING' : [('start_time', True)], 'BLOCKED' : [('start_time', True)], 'SUCCEEDED' : [('start_time', True), ('end_time', True)], 'PENDING' : [], } ), ] def __init__(self, progress=None, last_updated_time=None, result=None, external_tools=None, description=None, service=None, operation=None, parent=None, target=None, status=None, cancelable=None, error=None, start_time=None, end_time=None, user=None, ): """ :type progress: :class:`com.vmware.cis.task_client.Progress` :param progress: The progress info of this deployment task. :type last_updated_time: :class:`datetime.datetime` :param last_updated_time: The time that the last update is registered. :type result: :class:`Result` or ``None`` :param result: Result of the task. This attribute will be None if result is not available at the current step of the task. :type external_tools: :class:`list` of :class:`ExternalTool` :param external_tools: External tools used for the deployment. :type description: :class:`com.vmware.vapi.std_client.LocalizableMessage` :param description: Description of the operation associated with the task. :type service: :class:`str` :param service: Identifier of the service containing the operation. When clients pass a value of this class as a parameter, the attribute must be an identifier for the resource type: ``com.vmware.vapi.service``. When methods return a value of this class as a return value, the attribute will be an identifier for the resource type: ``com.vmware.vapi.service``. :type operation: :class:`str` :param operation: Identifier of the operation associated with the task. When clients pass a value of this class as a parameter, the attribute must be an identifier for the resource type: ``com.vmware.vapi.operation``. When methods return a value of this class as a return value, the attribute will be an identifier for the resource type: ``com.vmware.vapi.operation``. :type parent: :class:`str` or ``None`` :param parent: Parent of the current task. When clients pass a value of this class as a parameter, the attribute must be an identifier for the resource type: ``com.vmware.cis.task``. When methods return a value of this class as a return value, the attribute will be an identifier for the resource type: ``com.vmware.cis.task``. This attribute will be None if the task has no parent. :type target: :class:`com.vmware.vapi.std_client.DynamicID` or ``None`` :param target: Identifier of the target created by the operation or an existing one the operation performed on. This attribute will be None if the operation has no target or multiple targets. :type status: :class:`com.vmware.cis.task_client.Status` :param status: Status of the operation associated with the task. :type cancelable: :class:`bool` :param cancelable: Flag to indicate whether or not the operation can be cancelled. The value may change as the operation progresses. :type error: :class:`Exception` or ``None`` :param error: Description of the error if the operation status is "FAILED". If None the description of why the operation failed will be included in the result of the operation (see :attr:`com.vmware.cis.task_client.Info.result`). :type start_time: :class:`datetime.datetime` :param start_time: Time when the operation is started. This attribute is optional and it is only relevant when the value of ``status`` is one of :attr:`com.vmware.cis.task_client.Status.RUNNING`, :attr:`com.vmware.cis.task_client.Status.BLOCKED`, :attr:`com.vmware.cis.task_client.Status.SUCCEEDED`, or :attr:`com.vmware.cis.task_client.Status.FAILED`. :type end_time: :class:`datetime.datetime` :param end_time: Time when the operation is completed. This attribute is optional and it is only relevant when the value of ``status`` is one of :attr:`com.vmware.cis.task_client.Status.SUCCEEDED` or :attr:`com.vmware.cis.task_client.Status.FAILED`. :type user: :class:`str` or ``None`` :param user: Name of the user who performed the operation. This attribute will be None if the operation is performed by the system. """ self.progress = progress self.last_updated_time = last_updated_time self.result = result self.external_tools = external_tools self.description = description self.service = service self.operation = operation self.parent = parent self.target = target self.status = status self.cancelable = cancelable self.error = error self.start_time = start_time self.end_time = end_time self.user = user VapiStruct.__init__(self) SubTaskInfo._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.sub_task_info', { 'progress': type.ReferenceType('com.vmware.cis.task_client', 'Progress'), 'last_updated_time': type.DateTimeType(), 'result': type.OptionalType(type.ReferenceType(__name__, 'Result')), 'external_tools': type.ListType(type.ReferenceType(__name__, 'ExternalTool')), 'description': type.ReferenceType('com.vmware.vapi.std_client', 'LocalizableMessage'), 'service': type.IdType(resource_types='com.vmware.vapi.service'), 'operation': type.IdType(resource_types='com.vmware.vapi.operation'), 'parent': type.OptionalType(type.IdType()), 'target': type.OptionalType(type.ReferenceType('com.vmware.vapi.std_client', 'DynamicID')), 'status': type.ReferenceType('com.vmware.cis.task_client', 'Status'), 'cancelable': type.BooleanType(), 'error': type.OptionalType(type.AnyErrorType()), 'start_time': type.OptionalType(type.DateTimeType()), 'end_time': type.OptionalType(type.DateTimeType()), 'user': type.OptionalType(type.StringType()), }, SubTaskInfo, False, None)) class TaskInfo(VapiStruct): """ The container that contains the status information of a deployment. .. tip:: The arguments are used to initialize data attributes with the same names. """ _validator_list = [ UnionValidator( 'status', { 'RUNNING' : [('progress', True), ('start_time', True)], 'FAILED' : [('progress', True), ('error', False), ('start_time', True), ('end_time', True)], 'SUCCEEDED' : [('progress', True), ('start_time', True), ('end_time', True)], 'BLOCKED' : [('progress', True), ('start_time', True)], 'PENDING' : [], } ), ] def __init__(self, metadata_file=None, state=None, progress=None, last_updated_time=None, subtask_order=None, subtasks=None, appliance_info=None, result=None, additional_info=None, description=None, service=None, operation=None, parent=None, target=None, status=None, cancelable=None, error=None, start_time=None, end_time=None, user=None, ): """ :type metadata_file: :class:`str` :param metadata_file: The path of the metadata file. :type state: :class:`str` or ``None`` :param state: The state of appliance being deployed. May not have any state information. :type progress: :class:`com.vmware.cis.task_client.Progress` :param progress: The total progress of the deployment operation. This attribute is optional and it is only relevant when the value of ``#status`` is one of :attr:`com.vmware.cis.task_client.Status.RUNNING`, :attr:`com.vmware.cis.task_client.Status.FAILED`, :attr:`com.vmware.cis.task_client.Status.SUCCEEDED`, or :attr:`com.vmware.cis.task_client.Status.BLOCKED`. :type last_updated_time: :class:`datetime.datetime` :param last_updated_time: The time that the last update is registered. :type subtask_order: :class:`list` of :class:`list` of :class:`str` or ``None`` :param subtask_order: The ordered list of subtasks for this deployment operation. Only :class:`set` when the appliance state is RUNNING_IN_PROGRESS, FAILED, CANCELLED and SUCCEEDED. :type subtasks: (:class:`dict` of :class:`str` and :class:`SubTaskInfo`) or ``None`` :param subtasks: The map of the deployment subtasks and their status information. Only :class:`set` when the appliance state is RUNNING_IN_PROGRESS, FAILED, CANCELLED and SUCCEEDED. :type appliance_info: :class:`DeploymentInfo` or ``None`` :param appliance_info: Information about the appliance deployed. Such information may not be available for requests that are not for deployment (validation/recommendation). :type result: :class:`DataValue` or ``None`` :param result: The result of validation or recommendation requests. Not applicable for precheck/deployment operation. :type additional_info: :class:`str` or ``None`` :param additional_info: Additional information that a response may contain. Not all response will contain additional information. :type description: :class:`com.vmware.vapi.std_client.LocalizableMessage` :param description: Description of the operation associated with the task. :type service: :class:`str` :param service: Identifier of the service containing the operation. When clients pass a value of this class as a parameter, the attribute must be an identifier for the resource type: ``com.vmware.vapi.service``. When methods return a value of this class as a return value, the attribute will be an identifier for the resource type: ``com.vmware.vapi.service``. :type operation: :class:`str` :param operation: Identifier of the operation associated with the task. When clients pass a value of this class as a parameter, the attribute must be an identifier for the resource type: ``com.vmware.vapi.operation``. When methods return a value of this class as a return value, the attribute will be an identifier for the resource type: ``com.vmware.vapi.operation``. :type parent: :class:`str` or ``None`` :param parent: Parent of the current task. When clients pass a value of this class as a parameter, the attribute must be an identifier for the resource type: ``com.vmware.cis.task``. When methods return a value of this class as a return value, the attribute will be an identifier for the resource type: ``com.vmware.cis.task``. This attribute will be None if the task has no parent. :type target: :class:`com.vmware.vapi.std_client.DynamicID` or ``None`` :param target: Identifier of the target created by the operation or an existing one the operation performed on. This attribute will be None if the operation has no target or multiple targets. :type status: :class:`com.vmware.cis.task_client.Status` :param status: Status of the operation associated with the task. :type cancelable: :class:`bool` :param cancelable: Flag to indicate whether or not the operation can be cancelled. The value may change as the operation progresses. :type error: :class:`Exception` or ``None`` :param error: Description of the error if the operation status is "FAILED". If None the description of why the operation failed will be included in the result of the operation (see :attr:`com.vmware.cis.task_client.Info.result`). :type start_time: :class:`datetime.datetime` :param start_time: Time when the operation is started. This attribute is optional and it is only relevant when the value of ``status`` is one of :attr:`com.vmware.cis.task_client.Status.RUNNING`, :attr:`com.vmware.cis.task_client.Status.BLOCKED`, :attr:`com.vmware.cis.task_client.Status.SUCCEEDED`, or :attr:`com.vmware.cis.task_client.Status.FAILED`. :type end_time: :class:`datetime.datetime` :param end_time: Time when the operation is completed. This attribute is optional and it is only relevant when the value of ``status`` is one of :attr:`com.vmware.cis.task_client.Status.SUCCEEDED` or :attr:`com.vmware.cis.task_client.Status.FAILED`. :type user: :class:`str` or ``None`` :param user: Name of the user who performed the operation. This attribute will be None if the operation is performed by the system. """ self.metadata_file = metadata_file self.state = state self.progress = progress self.last_updated_time = last_updated_time self.subtask_order = subtask_order self.subtasks = subtasks self.appliance_info = appliance_info self.result = result self.additional_info = additional_info self.description = description self.service = service self.operation = operation self.parent = parent self.target = target self.status = status self.cancelable = cancelable self.error = error self.start_time = start_time self.end_time = end_time self.user = user VapiStruct.__init__(self) TaskInfo._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.task_info', { 'metadata_file': type.StringType(), 'state': type.OptionalType(type.StringType()), 'progress': type.OptionalType(type.ReferenceType('com.vmware.cis.task_client', 'Progress')), 'last_updated_time': type.DateTimeType(), 'subtask_order': type.OptionalType(type.ListType(type.ListType(type.StringType()))), 'subtasks': type.OptionalType(type.MapType(type.StringType(), type.ReferenceType(__name__, 'SubTaskInfo'))), 'appliance_info': type.OptionalType(type.ReferenceType(__name__, 'DeploymentInfo')), 'result': type.OptionalType(type.OpaqueType()), 'additional_info': type.OptionalType(type.StringType()), 'description': type.ReferenceType('com.vmware.vapi.std_client', 'LocalizableMessage'), 'service': type.IdType(resource_types='com.vmware.vapi.service'), 'operation': type.IdType(resource_types='com.vmware.vapi.operation'), 'parent': type.OptionalType(type.IdType()), 'target': type.OptionalType(type.ReferenceType('com.vmware.vapi.std_client', 'DynamicID')), 'status': type.ReferenceType('com.vmware.cis.task_client', 'Status'), 'cancelable': type.BooleanType(), 'error': type.OptionalType(type.AnyErrorType()), 'start_time': type.OptionalType(type.DateTimeType()), 'end_time': type.OptionalType(type.DateTimeType()), 'user': type.OptionalType(type.StringType()), }, TaskInfo, False, None)) class TemporaryNetwork(VapiStruct): """ Configuration of the temporary network which is used during upgrade/migrate. .. tip:: The arguments are used to initialize data attributes with the same names. """ _validator_list = [ UnionValidator( 'mode', { 'STATIC' : [('ip', True), ('dns_servers', True), ('prefix', True), ('gateway', True)], 'DHCP' : [], } ), ] def __init__(self, ip_family=None, mode=None, ip=None, dns_servers=None, prefix=None, gateway=None, ): """ :type ip_family: :class:`TemporaryNetwork.IpType` or ``None`` :param ip_family: Network IP address family. If None, defaults to IPV4 :type mode: :class:`TemporaryNetwork.NetworkMode` :param mode: Network mode. :type ip: :class:`str` :param ip: Network IP address. Required for static mode only. This attribute is optional and it is only relevant when the value of ``mode`` is :attr:`TemporaryNetwork.NetworkMode.STATIC`. :type dns_servers: :class:`list` of :class:`str` :param dns_servers: A comma-separated list of IP addresses of DNS servers. A JSON array such as ["1.2.3.4", "127.0.0.1"]. Required for static mode only. DNS servers must be reachable from the machine that runs CLI installer This attribute is optional and it is only relevant when the value of ``mode`` is :attr:`TemporaryNetwork.NetworkMode.STATIC`. :type prefix: :class:`long` :param prefix: Network prefix length. Required for static mode only. Remove if the mode is "dhcp". This is the number of bits set in the subnet mask; for instance, if the subnet mask is 255.255.255.0, there are 24 bits in the binary version of the subnet mask, so the prefix length is 24. If used, the values must be in the inclusive range of 0 to 32 for IPv4 and 0 to 128 for IPv6. Required for static mode only. This attribute is optional and it is only relevant when the value of ``mode`` is :attr:`TemporaryNetwork.NetworkMode.STATIC`. :type gateway: :class:`str` :param gateway: Gateway of the network. Required for static mode only. This attribute is optional and it is only relevant when the value of ``mode`` is :attr:`TemporaryNetwork.NetworkMode.STATIC`. """ self.ip_family = ip_family self.mode = mode self.ip = ip self.dns_servers = dns_servers self.prefix = prefix self.gateway = gateway VapiStruct.__init__(self) class IpType(Enum): """ Network IP address family. .. note:: This class represents an enumerated type in the interface language definition. The class contains class attributes which represent the values in the current version of the enumerated type. Newer versions of the enumerated type may contain new values. To use new values of the enumerated type in communication with a server that supports the newer version of the API, you instantiate this class. See :ref:`enumerated type description page <enumeration_description>`. """ IPV4 = None """ IPv4 Type of IP address. """ IPV6 = None """ IPv6 Type of IP address. """ def __init__(self, string): """ :type string: :class:`str` :param string: String value for the :class:`IpType` instance. """ Enum.__init__(string) IpType._set_values([ IpType('IPV4'), IpType('IPV6'), ]) IpType._set_binding_type(type.EnumType( 'com.vmware.vcenter.lcm.temporary_network.ip_type', IpType)) class NetworkMode(Enum): """ Network mode. .. note:: This class represents an enumerated type in the interface language definition. The class contains class attributes which represent the values in the current version of the enumerated type. Newer versions of the enumerated type may contain new values. To use new values of the enumerated type in communication with a server that supports the newer version of the API, you instantiate this class. See :ref:`enumerated type description page <enumeration_description>`. """ DHCP = None """ DHCP mode. """ STATIC = None """ Static IP mode. """ def __init__(self, string): """ :type string: :class:`str` :param string: String value for the :class:`NetworkMode` instance. """ Enum.__init__(string) NetworkMode._set_values([ NetworkMode('DHCP'), NetworkMode('STATIC'), ]) NetworkMode._set_binding_type(type.EnumType( 'com.vmware.vcenter.lcm.temporary_network.network_mode', NetworkMode)) TemporaryNetwork._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.temporary_network', { 'ip_family': type.OptionalType(type.ReferenceType(__name__, 'TemporaryNetwork.IpType')), 'mode': type.ReferenceType(__name__, 'TemporaryNetwork.NetworkMode'), 'ip': type.OptionalType(type.StringType()), 'dns_servers': type.OptionalType(type.ListType(type.StringType())), 'prefix': type.OptionalType(type.IntegerType()), 'gateway': type.OptionalType(type.StringType()), }, TemporaryNetwork, False, None)) class Time(VapiStruct): """ NTP setting of the appliance to be deployed. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, ntp_servers=None, ): """ :type ntp_servers: :class:`list` of :class:`str` or ``None`` :param ntp_servers: To configure NTP time synchronization for the appliance, set the value to a comma - separated list of host names or IP addresses of Network Time Protocol(NTP) servers. If "ntp_servers" is not provided, the appliance clock will be synced to the ESX. For example: ["time.nist.gov"]. Times tool sync will be enabled when ntp server is not provided. If None, defaults to [] """ self.ntp_servers = ntp_servers VapiStruct.__init__(self) Time._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.time', { 'ntp_servers': type.OptionalType(type.ListType(type.StringType())), }, Time, False, None)) class UpgradeDestinationApplianceService(VapiStruct): """ Configurable services of destination appliance for upgrade/migrate operation. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, ssh=None, ): """ :type ssh: :class:`Ssh` :param ssh: Whether to enable SSH on the vCenter Appliance. """ self.ssh = ssh VapiStruct.__init__(self) UpgradeDestinationApplianceService._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.upgrade_destination_appliance_service', { 'ssh': type.ReferenceType(__name__, 'Ssh'), }, UpgradeDestinationApplianceService, False, None)) class UpgradeSourceAppliance(VapiStruct): """ Configuration of the source appliance to be upgraded/migrated. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, hostname=None, sso_admin_username=None, sso_admin_password=None, root_password=None, https_port=None, ssl_verify=None, ssl_thumbprint=None, export_dir=None, ): """ :type hostname: :class:`str` :param hostname: The IP address or fully qualified domain name (FQDN) of the vCenter Server instance. If an FQDN is provided, it has to be resolvable from the machine that is running the installer. :type sso_admin_username: :class:`str` :param sso_admin_username: vCenter Single Sign-On administrator user name of the source appliance. :type sso_admin_password: :class:`str` :param sso_admin_password: vCenter Single Sign-On administrator password of the source appliance. :type root_password: :class:`str` :param root_password: Password of the operating system root user of the appliance. :type https_port: :class:`long` or ``None`` :param https_port: The HTTPS port number to connect to the source appliance. If None, defaults to 443 :type ssl_verify: :class:`bool` or ``None`` :param ssl_verify: :type ssl_thumbprint: :class:`str` or ``None`` :param ssl_thumbprint: :type export_dir: :class:`str` or ``None`` :param export_dir: Export directory of the source appliance. Default to be "/var/tmp/". """ self.hostname = hostname self.sso_admin_username = sso_admin_username self.sso_admin_password = sso_admin_password self.root_password = root_password self.https_port = https_port self.ssl_verify = ssl_verify self.ssl_thumbprint = ssl_thumbprint self.export_dir = export_dir VapiStruct.__init__(self) UpgradeSourceAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.upgrade_source_appliance', { 'hostname': type.StringType(), 'sso_admin_username': type.StringType(), 'sso_admin_password': type.SecretType(), 'root_password': type.SecretType(), 'https_port': type.OptionalType(type.IntegerType()), 'ssl_verify': type.OptionalType(type.BooleanType()), 'ssl_thumbprint': type.OptionalType(type.StringType()), 'export_dir': type.OptionalType(type.StringType()), }, UpgradeSourceAppliance, False, None)) class Vc(VapiStruct): """ Configuration of the VC that hosts/will host an appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, connection=None, inventory=None, ): """ :type connection: :class:`Connection` :param connection: The configuration to connect to an ESX/VC. :type inventory: :class:`VcInventory` :param inventory: All names are case-sensitive. you can install the appliance to one of the following destinations: 1. A resource pool in a cluster, use 'cluster_path'. 2. A specific ESX host in a cluster, use 'host_path'. 3. A resource pool in a specific ESX host being managed by the current vCenter, use 'resource_pool_path'. You must always provide the 'network_name' key. To install a new appliance to a specific ESX host in a cluster, provide the 'host_path' key, and the 'datastore_name', e.g. 'host_path': '/MyDataCenter/host/MyCluster/10.20.30.40', 'datastore_name': 'Your Datastore'. To install a new appliance to a specific resource pool, provide the 'resource_pool_path', and the 'datastore_name', e.g. 'resource_pool_path': '/Your Datacenter Folder/Your Datacenter/host/Your Cluster/Resources/Your Resource Pool', 'datastore_name': 'Your Datastore'. To place a new appliance to a virtual machine Folder, provide the 'vm_folder_path', e.g. 'vm_folder_path': 'VM Folder 0/VM Folder1'. """ self.connection = connection self.inventory = inventory VapiStruct.__init__(self) Vc._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.vc', { 'connection': type.ReferenceType(__name__, 'Connection'), 'inventory': type.ReferenceType(__name__, 'VcInventory'), }, Vc, False, None)) class VcInventory(VapiStruct): """ Inventory information about a VCenter. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, vm_folder_path=None, resource_pool_path=None, cluster_path=None, host_path=None, datastore_name=None, datastore_cluster_name=None, network_name=None, ): """ :type vm_folder_path: :class:`str` or ``None`` :param vm_folder_path: Path of the VM folder. VM folder must be visible by the Data Center of the compute resourceFormat:{vm_folder1}/{vm_folder2}e.g.:'VM Folder 0/VM Folder1'. Mutually exclusive between ``#resource_pool_path``, ``#cluster_path``, and ``#host_path`` :type resource_pool_path: :class:`str` or ``None`` :param resource_pool_path: Full path to resource pool. Format: /{datacenter folder}/{datacenter name}/host/{host name}/{cluster_name}/Resources/{resource pool}. e.g: Your Datacenter Folder/Your Datacenter/host/Your Cluster/Resources/Your Resource Pool Mutually exclusive between ``#resource_pool_path``, ``#cluster_path``, and ``#host_path`` :type cluster_path: :class:`str` or ``None`` :param cluster_path: Full path to the cluster. Format: /{datacenter folder}/{datacenter name}/host/{cluster_name}. e.g: /Your Datacenter Folder/Your Datacenter/host/Your Cluster Mutually exclusive between ``#resource_pool_path``, ``#cluster_path``, and ``#host_path`` :type host_path: :class:`str` or ``None`` :param host_path: :type datastore_name: :class:`str` or ``None`` :param datastore_name: The datastore on which to store the files of the appliance. This value has to be either a specific datastore name, or a specific datastore in a datastore cluster. The datastore must be accessible from the ESX host and must have at least 25 GB of free space. Otherwise, the new appliance might not power on. Mutually exclusive between ``#datastore_name`` and ``#datastore_cluster_name`` :type datastore_cluster_name: :class:`str` or ``None`` :param datastore_cluster_name: The datastore cluster on which to store the files of the appliance. Mutually exclusive between ``#datastore_name`` and ``#datastore_cluster_name`` :type network_name: :class:`str` :param network_name: Name of the network. e.g. VM Network """ self.vm_folder_path = vm_folder_path self.resource_pool_path = resource_pool_path self.cluster_path = cluster_path self.host_path = host_path self.datastore_name = datastore_name self.datastore_cluster_name = datastore_cluster_name self.network_name = network_name VapiStruct.__init__(self) VcInventory._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.vc_inventory', { 'vm_folder_path': type.OptionalType(type.StringType()), 'resource_pool_path': type.OptionalType(type.StringType()), 'cluster_path': type.OptionalType(type.StringType()), 'host_path': type.OptionalType(type.StringType()), 'datastore_name': type.OptionalType(type.StringType()), 'datastore_cluster_name': type.OptionalType(type.StringType()), 'network_name': type.StringType(), }, VcInventory, False, None)) class Install(VapiInterface): """ The service to install Embedded VCSA, PSC, Management VCSA, VMC gateway. """ _VAPI_SERVICE_ID = 'com.vmware.vcenter.lcm.install' """ Identifier of the service in canonical form. """ def __init__(self, config): """ :type config: :class:`vmware.vapi.bindings.stub.StubConfiguration` :param config: Configuration to be used for creating the stub. """ VapiInterface.__init__(self, config, _InstallStub) class Psc(VapiStruct): """ Spec used to configure a Platform Services Controller. This section describes how the Platform Services Controller appliance should be configured. If unset, either ``#vcsaEmbedded`` or ``#vcsaExternal`` must be provided. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, standalone=None, replicated=None, ceip_enabled=None, ): """ :type standalone: :class:`PscStandalone` or ``None`` :param standalone: Spec used to configure a standalone Platform Services Controller. This section describes how the standalone PSC should be configured. Mutually exclusive between ``standalone`` and ``replicated`` :type replicated: :class:`PscReplicated` or ``None`` :param replicated: Spec used to configure a replicated Platform Services Controller. This section describes how the replicated PSC should be configured. Mutually exclusive between ``standalone`` and ``replicated`` :type ceip_enabled: :class:`bool` :param ceip_enabled: This key describes the enabling option for the VMware's Customer Experience Improvement Program (CEIP). By default we have ``ceipEnabled``: true, which indicates that you are joining CEIP. If you prefer not to participate in the VMware's CEIP for this product, you must disable CEIP by setting ``ceipEnabled``: false. You may join or leave VMware's CEIP for this product at any time. """ self.standalone = standalone self.replicated = replicated self.ceip_enabled = ceip_enabled VapiStruct.__init__(self) Psc._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.install.psc', { 'standalone': type.OptionalType(type.ReferenceType(__name__, 'PscStandalone')), 'replicated': type.OptionalType(type.ReferenceType(__name__, 'PscReplicated')), 'ceip_enabled': type.BooleanType(), }, Psc, False, None)) class VcsaEmbedded(VapiStruct): """ Spec used to configure an embedded vCenter Server. This field describes how the embedded vCenter Server appliance should be configured. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, standalone=None, replicated=None, ceip_enabled=None, ): """ :type standalone: :class:`EmbeddedStandaloneVcsa` or ``None`` :param standalone: Spec used to configure a standalone embedded vCenter Server. This field describes how the standalone vCenter Server appliance should be configured. Mutually exclusive between ``standalone`` and ``replicated`` :type replicated: :class:`EmbeddedReplicatedVcsa` or ``None`` :param replicated: Spec used to configure a replicated embedded vCenter Server. This field describes how the replicated vCenter Server appliance should be configured. Mutually exclusive between ``standalone`` and ``replicated`` :type ceip_enabled: :class:`bool` :param ceip_enabled: This key describes the enabling option for the VMware's Customer Experience Improvement Program (CEIP). By default we have ``ceipEnabled``: true, which indicates that you are joining CEIP. If you prefer not to participate in the VMware's CEIP for this product, you must disable CEIP by setting ``ceipEnabled``: false. You may join or leave VMware's CEIP for this product at any time. """ self.standalone = standalone self.replicated = replicated self.ceip_enabled = ceip_enabled VapiStruct.__init__(self) VcsaEmbedded._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.install.vcsa_embedded', { 'standalone': type.OptionalType(type.ReferenceType(__name__, 'EmbeddedStandaloneVcsa')), 'replicated': type.OptionalType(type.ReferenceType(__name__, 'EmbeddedReplicatedVcsa')), 'ceip_enabled': type.BooleanType(), }, VcsaEmbedded, False, None)) class ReverseProxy(VapiStruct): """ Port numbers on which the vCenter Server Appliance communicates with the other vSphere components. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, http_port=None, https_port=None, ): """ :type http_port: :class:`long` or ``None`` :param http_port: Reverse proxy http port. If None, defaults to 8080 :type https_port: :class:`long` or ``None`` :param https_port: Reverse proxy https port. If None, defaults to 8443 """ self.http_port = http_port self.https_port = https_port VapiStruct.__init__(self) ReverseProxy._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.install.reverse_proxy', { 'http_port': type.OptionalType(type.IntegerType()), 'https_port': type.OptionalType(type.IntegerType()), }, ReverseProxy, False, None)) class DestinationApplianceService(VapiStruct): """ The configuration of vCenter services. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, rhttpproxy=None, ssh=None, ): """ :type rhttpproxy: :class:`Install.ReverseProxy` or ``None`` :param rhttpproxy: Port numbers on which the vCenter Server Appliance communicates with the other vSphere components. Default value used reverse proxy not provided :type ssh: :class:`Ssh` :param ssh: Whether to enable SSH on the vCenter Appliance. """ self.rhttpproxy = rhttpproxy self.ssh = ssh VapiStruct.__init__(self) DestinationApplianceService._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.install.destination_appliance_service', { 'rhttpproxy': type.OptionalType(type.ReferenceType(__name__, 'Install.ReverseProxy')), 'ssh': type.ReferenceType(__name__, 'Ssh'), }, DestinationApplianceService, False, None)) class DestinationAppliance(VapiStruct): """ Spec to describe the new appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ _validator_list = [ UnionValidator( 'appliance_type', { 'VCSA_EMBEDDED' : [('appliance_size', False), ('appliance_disk_size', False), ('vcsa_embedded', True)], 'VCSA_EXTERNAL' : [('appliance_size', False), ('appliance_disk_size', False), ('vcsa_external', True)], 'PSC' : [('psc', True)], 'VMC' : [('vmc', True)], } ), ] def __init__(self, appliance_name=None, appliance_type=None, appliance_size=None, appliance_disk_size=None, root_password=None, thin_disk_mode=None, ova_location=None, ova_location_ssl_verify=None, ova_location_ssl_thumbprint=None, ovftool_location=None, ovftool_location_ssl_verify=None, ovftool_location_ssl_thumbprint=None, services=None, network=None, time=None, ovftool_arguments=None, vcsa_embedded=None, psc=None, vcsa_external=None, vmc=None, ): """ :type appliance_name: :class:`str` :param appliance_name: The name of the appliance to deploy. :type appliance_type: :class:`ApplianceType` :param appliance_type: The type of appliance to deploy. :type appliance_size: :class:`ApplianceSize` or ``None`` :param appliance_size: A size descriptor based on the number of virtual machines which will be managed by the new vCenter appliance. If None, defaults to SMALL :type appliance_disk_size: :class:`StorageSize` or ``None`` :param appliance_disk_size: The disk size of the new vCenter appliance. If None, defaults to REGULAR :type root_password: :class:`str` :param root_password: Password must conform to the following requirements: 1. At least 8 characters. 2. No more than 20 characters. 3. At least 1 uppercase character. 4. At least 1 lowercase character. 5. At least 1 number. 6. At least 1 special character (e.g., '!', '(', '\\\\@', etc.). 7. Only visible A-Z, a-z, 0-9 and punctuation (spaces are not allowed) :type thin_disk_mode: :class:`bool` :param thin_disk_mode: Whether to deploy the appliance with thin mode virtual disks. :type ova_location: :class:`str` :param ova_location: The location of the OVA file. :type ova_location_ssl_verify: :class:`bool` or ``None`` :param ova_location_ssl_verify: A flag to indicate whether the ssl verification is required. If ``ovaLocationSslThumbprint`` is provided, this field can be omitted If None, defaults to True :type ova_location_ssl_thumbprint: :class:`str` or ``None`` :param ova_location_ssl_thumbprint: SSL thumbprint of ssl verification. If provided, ssl_verify can be omitted or set to true. If omitted, ssl_verify must be false. If omitted and ssl_verify is true, an error will occur. If ova_location_ssl_verify is False, this field can be omitted :type ovftool_location: :class:`str` :param ovftool_location: The location of the OVF Tool. :type ovftool_location_ssl_verify: :class:`bool` or ``None`` :param ovftool_location_ssl_verify: Flag to indicate whether or not to verify the SSL thumbprint of OVF Tool location. if None, Default to be True. :type ovftool_location_ssl_thumbprint: :class:`str` or ``None`` :param ovftool_location_ssl_thumbprint: SSL thumbprint of OVF Tool location to be verified. When ovftoolLocationSslVerify is set to False, this field can be omitted. :type services: :class:`Install.DestinationApplianceService` :param services: The configuration of vCenter services. :type network: :class:`Network` :param network: The network settings of the appliance to be deployed. :type time: :class:`Time` :param time: Configuration of the vCSA time synchronization. :type ovftool_arguments: (:class:`dict` of :class:`str` and :class:`str`) or ``None`` :param ovftool_arguments: The OVF Tool arguments to be included. Not required when no OVF Tool argument to pass through :type vcsa_embedded: :class:`Install.VcsaEmbedded` :param vcsa_embedded: Spec used to configure an embedded vCenter Server. This field describes how the embedded vCenter Server appliance should be configured. This attribute is optional and it is only relevant when the value of ``applianceType`` is :attr:`ApplianceType.VCSA_EMBEDDED`. :type psc: :class:`Install.Psc` :param psc: Spec used to configure a Platform Services Controller. This section describes how the Platform Services Controller appliance should be configured. If unset, either ``vcsaEmbedded`` or ``vcsaExternal`` must be provided. This attribute is optional and it is only relevant when the value of ``applianceType`` is :attr:`ApplianceType.PSC`. :type vcsa_external: :class:`ExternalVcsa` :param vcsa_external: Spec used to configure a vCenter Server registered with an external PSC. If unset, either vcsa_embedded or psc must be provided. This attribute is optional and it is only relevant when the value of ``applianceType`` is :attr:`ApplianceType.VCSA_EXTERNAL`. :type vmc: :class:`ExternalVcsa` :param vmc: Spec used to configure a vCenter Server registered with an external PSC. If unset, either vcsa_embedded or psc must be provided. This attribute is optional and it is only relevant when the value of ``applianceType`` is :attr:`ApplianceType.VMC`. """ self.appliance_name = appliance_name self.appliance_type = appliance_type self.appliance_size = appliance_size self.appliance_disk_size = appliance_disk_size self.root_password = root_password self.thin_disk_mode = thin_disk_mode self.ova_location = ova_location self.ova_location_ssl_verify = ova_location_ssl_verify self.ova_location_ssl_thumbprint = ova_location_ssl_thumbprint self.ovftool_location = ovftool_location self.ovftool_location_ssl_verify = ovftool_location_ssl_verify self.ovftool_location_ssl_thumbprint = ovftool_location_ssl_thumbprint self.services = services self.network = network self.time = time self.ovftool_arguments = ovftool_arguments self.vcsa_embedded = vcsa_embedded self.psc = psc self.vcsa_external = vcsa_external self.vmc = vmc VapiStruct.__init__(self) DestinationAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.install.destination_appliance', { 'appliance_name': type.StringType(), 'appliance_type': type.ReferenceType(__name__, 'ApplianceType'), 'appliance_size': type.OptionalType(type.ReferenceType(__name__, 'ApplianceSize')), 'appliance_disk_size': type.OptionalType(type.ReferenceType(__name__, 'StorageSize')), 'root_password': type.SecretType(), 'thin_disk_mode': type.BooleanType(), 'ova_location': type.StringType(), 'ova_location_ssl_verify': type.OptionalType(type.BooleanType()), 'ova_location_ssl_thumbprint': type.OptionalType(type.StringType()), 'ovftool_location': type.StringType(), 'ovftool_location_ssl_verify': type.OptionalType(type.BooleanType()), 'ovftool_location_ssl_thumbprint': type.OptionalType(type.StringType()), 'services': type.ReferenceType(__name__, 'Install.DestinationApplianceService'), 'network': type.ReferenceType(__name__, 'Network'), 'time': type.ReferenceType(__name__, 'Time'), 'ovftool_arguments': type.OptionalType(type.MapType(type.StringType(), type.StringType())), 'vcsa_embedded': type.OptionalType(type.ReferenceType(__name__, 'Install.VcsaEmbedded')), 'psc': type.OptionalType(type.ReferenceType(__name__, 'Install.Psc')), 'vcsa_external': type.OptionalType(type.ReferenceType(__name__, 'ExternalVcsa')), 'vmc': type.OptionalType(type.ReferenceType(__name__, 'ExternalVcsa')), }, DestinationAppliance, False, None)) class Spec(VapiStruct): """ .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_location=None, destination_appliance=None, ): """ :type destination_location: :class:`DestinationLocation` :param destination_location: This subsection describes the ESX or VC on which to deploy the appliance. :type destination_appliance: :class:`Install.DestinationAppliance` :param destination_appliance: Spec to describe the new appliance. """ self.destination_location = destination_location self.destination_appliance = destination_appliance VapiStruct.__init__(self) Spec._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.install.spec', { 'destination_location': type.ReferenceType(__name__, 'DestinationLocation'), 'destination_appliance': type.ReferenceType(__name__, 'Install.DestinationAppliance'), }, Spec, False, None)) def check_task(self, spec, options=None, ): """ Performs a precheck for the given specification. The result of this operation can be queried by calling the cis/tasks/{task-id} with the task-id in the response of this call. :type spec: :class:`Install.Spec` :param spec: The specification of the deployment. :type options: :class:`DeploymentOption` or ``None`` :param options: The deployment precheck options. :raise: :class:`com.vmware.vapi.std.errors_client.InvalidArgument` If the given spec and/or option contains error. """ task_id = self._invoke('check$task', { 'spec': spec, 'options': options, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.VoidType()) return task_instance def start_task(self, spec, ): """ Deploys the appliance for the given specification. The result of this operation can be queried by calling the cis/tasks/{task-id} with the task-id in the response of this call. :type spec: :class:`Install.Spec` :param spec: The specification of the deployment. :raise: :class:`com.vmware.vapi.std.errors_client.InvalidArgument` If the given specification contains error. """ task_id = self._invoke('start$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.VoidType()) return task_instance class Log(VapiInterface): """ The service that provides logs associated with a task of a given task ID. """ _VAPI_SERVICE_ID = 'com.vmware.vcenter.lcm.log' """ Identifier of the service in canonical form. """ def __init__(self, config): """ :type config: :class:`vmware.vapi.bindings.stub.StubConfiguration` :param config: Configuration to be used for creating the stub. """ VapiInterface.__init__(self, config, _LogStub) def get(self, task_id, ): """ Retrieves the zipped files that contains operation log, serialized task flow, record of all configuration, and a current status of the operation. :type task_id: :class:`str` :param task_id: The :class:`vmodl.lang_client.ID` of the operation. must exist in the server. If for any reason the server reboots during an operation, all :class:`vmodl.lang_client.ID`s previously stored is lost. The parameter must be an identifier for the resource type: ``com.vmware.cis.task``. :rtype: :class:`str` :return: A zipped file that contains the files mentioned above. :raise: :class:`com.vmware.vapi.std.errors_client.InvalidArgument` If the given ID does not exist in the server. There might be a cause of task ID does not exist including, error in taskID, or log files been purged by system or manually. """ return self._invoke('get', { 'task_id': task_id, }) class Migrate(VapiInterface): """ The service to migrate a windows VC to Embedded VCSA, PSC, and Management VCSA. """ _VAPI_SERVICE_ID = 'com.vmware.vcenter.lcm.migrate' """ Identifier of the service in canonical form. """ def __init__(self, config): """ :type config: :class:`vmware.vapi.bindings.stub.StubConfiguration` :param config: Configuration to be used for creating the stub. """ VapiInterface.__init__(self, config, _MigrateStub) class MigrateDestinationAppliance(VapiStruct): """ Spec to describe the new appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ _validator_list = [ UnionValidator( 'appliance_type', { 'VCSA_EMBEDDED' : [('appliance_size', False), ('appliance_disk_size', False), ('vcsa_embedded', True)], 'VCSA_EXTERNAL' : [('appliance_size', False), ('appliance_disk_size', False)], 'PSC' : [('psc', True)], 'VMC' : [], } ), ] def __init__(self, appliance_name=None, appliance_type=None, appliance_size=None, appliance_disk_size=None, root_password=None, thin_disk_mode=None, ova_location=None, ova_location_ssl_verify=None, ova_location_ssl_thumbprint=None, ovftool_location=None, ovftool_location_ssl_verify=None, ovftool_location_ssl_thumbprint=None, active_directory_domain=None, active_directory_username=None, active_directory_password=None, services=None, temporary_network=None, history=None, ovftool_arguments=None, vcsa_embedded=None, psc=None, ): """ :type appliance_name: :class:`str` :param appliance_name: The name of the appliance to deploy. :type appliance_type: :class:`ApplianceType` or ``None`` :param appliance_type: The type of appliance to deploy. If None, defaults to VCSA_EMBEDDED :type appliance_size: :class:`ApplianceSize` or ``None`` :param appliance_size: A size descriptor based on the number of virtual machines which will be managed by the new vCenter appliance. If None, defaults to SMALL :type appliance_disk_size: :class:`StorageSize` or ``None`` :param appliance_disk_size: The disk size of the new vCenter appliance. If None, defaults to REGULAR :type root_password: :class:`str` :param root_password: Password must conform to the following requirements: 1. At least 8 characters. 2. No more than 20 characters. 3. At least 1 uppercase character. 4. At least 1 lowercase character. 5. At least 1 number. 6. At least 1 special character (e.g., '!', '(', '\\\\@', etc.). 7. Only visible A-Z, a-z, 0-9 and punctuation (spaces are not allowed) :type thin_disk_mode: :class:`bool` :param thin_disk_mode: Whether to deploy the appliance with thin mode virtual disks. :type ova_location: :class:`str` :param ova_location: The location of the OVA file. :type ova_location_ssl_verify: :class:`bool` or ``None`` :param ova_location_ssl_verify: A flag to indicate whether the ssl verification is required. If ``ovaLocationSslThumbprint`` is provided, this field can be omitted If None, defaults to True :type ova_location_ssl_thumbprint: :class:`str` or ``None`` :param ova_location_ssl_thumbprint: SSL thumbprint of ssl verification. If provided, ssl_verify can be omitted or set to true. If omitted, ssl_verify must be false. If omitted and ssl_verify is true, an error will occur. If ova_location_ssl_verify is False, this field can be omitted :type ovftool_location: :class:`str` :param ovftool_location: The location of the OVF Tool. :type ovftool_location_ssl_verify: :class:`bool` or ``None`` :param ovftool_location_ssl_verify: Flag to indicate whether or not to verify the SSL thumbprint of OVF Tool location. if None, Default to be True. :type ovftool_location_ssl_thumbprint: :class:`str` or ``None`` :param ovftool_location_ssl_thumbprint: SSL thumbprint of OVF Tool location to be verified. When ovftoolLocationSslVerify is set to False, this field can be omitted. :type active_directory_domain: :class:`str` or ``None`` :param active_directory_domain: The name of the Active Directory domain to which the source Windows installation is joined. If the source Windows installation is not joined to an Active Directory domain, omit this parameter. Not required when active directory is not applicable :type active_directory_username: :class:`str` or ``None`` :param active_directory_username: Administrator user name of the Active Directory domain to which the source Windows installation is joined. The format can be either 'username' or 'username\\\\@domain' Not required when active directory is not applicable :type active_directory_password: :class:`str` or ``None`` :param active_directory_password: Password for the active directory user. Not required when active directory is not applicable :type services: :class:`UpgradeDestinationApplianceService` :param services: Spec to configure vCenter server services. :type temporary_network: :class:`TemporaryNetwork` :param temporary_network: The network settings of the appliance to be deployed. :type history: :class:`History` or ``None`` :param history: History data to be included in the upgrade and migrate Default value will be applied when absent :type ovftool_arguments: (:class:`dict` of :class:`str` and :class:`str`) or ``None`` :param ovftool_arguments: The OVF Tool arguments to be included. Not required when no OVF Tool argument to pass through :type vcsa_embedded: :class:`CeipOnlySso` :param vcsa_embedded: Spec used to configure an embedded vCenter Server. This field describes how the embedded vCenter Server appliance should be configured. This attribute is optional and it is only relevant when the value of ``applianceType`` is :attr:`ApplianceType.VCSA_EMBEDDED`. :type psc: :class:`CeipOnlySso` :param psc: Spec used to configure a Platform Services Controller. This section describes how the Platform Services Controller appliance should be configured. If unset, either ``vcsaEmbedded`` or ``#vcsaExternal`` must be provided. This attribute is optional and it is only relevant when the value of ``applianceType`` is :attr:`ApplianceType.PSC`. """ self.appliance_name = appliance_name self.appliance_type = appliance_type self.appliance_size = appliance_size self.appliance_disk_size = appliance_disk_size self.root_password = root_password self.thin_disk_mode = thin_disk_mode self.ova_location = ova_location self.ova_location_ssl_verify = ova_location_ssl_verify self.ova_location_ssl_thumbprint = ova_location_ssl_thumbprint self.ovftool_location = ovftool_location self.ovftool_location_ssl_verify = ovftool_location_ssl_verify self.ovftool_location_ssl_thumbprint = ovftool_location_ssl_thumbprint self.active_directory_domain = active_directory_domain self.active_directory_username = active_directory_username self.active_directory_password = active_directory_password self.services = services self.temporary_network = temporary_network self.history = history self.ovftool_arguments = ovftool_arguments self.vcsa_embedded = vcsa_embedded self.psc = psc VapiStruct.__init__(self) MigrateDestinationAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.migrate.migrate_destination_appliance', { 'appliance_name': type.StringType(), 'appliance_type': type.OptionalType(type.ReferenceType(__name__, 'ApplianceType')), 'appliance_size': type.OptionalType(type.ReferenceType(__name__, 'ApplianceSize')), 'appliance_disk_size': type.OptionalType(type.ReferenceType(__name__, 'StorageSize')), 'root_password': type.SecretType(), 'thin_disk_mode': type.BooleanType(), 'ova_location': type.StringType(), 'ova_location_ssl_verify': type.OptionalType(type.BooleanType()), 'ova_location_ssl_thumbprint': type.OptionalType(type.StringType()), 'ovftool_location': type.StringType(), 'ovftool_location_ssl_verify': type.OptionalType(type.BooleanType()), 'ovftool_location_ssl_thumbprint': type.OptionalType(type.StringType()), 'active_directory_domain': type.OptionalType(type.StringType()), 'active_directory_username': type.OptionalType(type.StringType()), 'active_directory_password': type.OptionalType(type.SecretType()), 'services': type.ReferenceType(__name__, 'UpgradeDestinationApplianceService'), 'temporary_network': type.ReferenceType(__name__, 'TemporaryNetwork'), 'history': type.OptionalType(type.ReferenceType(__name__, 'History')), 'ovftool_arguments': type.OptionalType(type.MapType(type.StringType(), type.StringType())), 'vcsa_embedded': type.OptionalType(type.ReferenceType(__name__, 'CeipOnlySso')), 'psc': type.OptionalType(type.ReferenceType(__name__, 'CeipOnlySso')), }, MigrateDestinationAppliance, False, None)) class Spec(VapiStruct): """ Spec to describe the configuration parameters that are required for migrating a Windows vCenter Server. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_location=None, destination_appliance=None, source_vc_windows=None, existing_migration_assistant=None, start_migration_assistant=None, source_vum_location=None, source_vum=None, ): """ :type destination_location: :class:`DestinationLocation` :param destination_location: This subsection describes the ESX or VC on which to deploy the appliance. :type destination_appliance: :class:`Migrate.MigrateDestinationAppliance` :param destination_appliance: Spec to describe the new appliance. :type source_vc_windows: :class:`SourceVcWindows` :param source_vc_windows: Spec to describe the existing Windows vCenter server to migrate. :type existing_migration_assistant: :class:`ExistingMigrationAssistant` or ``None`` :param existing_migration_assistant: Spec to describe the attributes of a running Migration Assistant on the Windows vCenter server. Only applicable when migration assistant is already running on the source appliance :type start_migration_assistant: :class:`MigrationAssistant` or ``None`` :param start_migration_assistant: Spec to automate the invocation of Migration Assistant. Automatic invocation works only if the source Windows installation is running as a virtual machine. Only applicable when migration assistant is not running on the source appliance. :type source_vum_location: :class:`Connection` or ``None`` :param source_vum_location: The configuration to connect to an ESX/VC. :type source_vum: :class:`SourceVum` or ``None`` :param source_vum: This section describes the source vSphere Update Manager (VUM) which you want to upgrade. Not applicable for appliance not having source vSphere Update Manager """ self.destination_location = destination_location self.destination_appliance = destination_appliance self.source_vc_windows = source_vc_windows self.existing_migration_assistant = existing_migration_assistant self.start_migration_assistant = start_migration_assistant self.source_vum_location = source_vum_location self.source_vum = source_vum VapiStruct.__init__(self) Spec._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.migrate.spec', { 'destination_location': type.ReferenceType(__name__, 'DestinationLocation'), 'destination_appliance': type.ReferenceType(__name__, 'Migrate.MigrateDestinationAppliance'), 'source_vc_windows': type.ReferenceType(__name__, 'SourceVcWindows'), 'existing_migration_assistant': type.OptionalType(type.ReferenceType(__name__, 'ExistingMigrationAssistant')), 'start_migration_assistant': type.OptionalType(type.ReferenceType(__name__, 'MigrationAssistant')), 'source_vum_location': type.OptionalType(type.ReferenceType(__name__, 'Connection')), 'source_vum': type.OptionalType(type.ReferenceType(__name__, 'SourceVum')), }, Spec, False, None)) def check_task(self, spec, options=None, ): """ Performs a precheck for the given specification. The result of this operation can be queried by calling the cis/tasks/{task-id} with the task-id in the response of this call. :type spec: :class:`Migrate.Spec` :param spec: The specification of the deployment. :type options: :class:`DeploymentOption` or ``None`` :param options: The deployment precheck options. :raise: :class:`com.vmware.vapi.std.errors_client.InvalidArgument` If the given spec and/or option contains error. """ task_id = self._invoke('check$task', { 'spec': spec, 'options': options, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.VoidType()) return task_instance def start_task(self, spec, ): """ Deploys the appliance for the given specification. The result of this operation can be queried by calling the cis/tasks/{task-id} with the task-id in the response of this call. :type spec: :class:`Migrate.Spec` :param spec: The specification of the deployment. :raise: :class:`com.vmware.vapi.std.errors_client.InvalidArgument` If the given specification contains error. """ task_id = self._invoke('start$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.VoidType()) return task_instance class Recommendation(VapiInterface): """ The service that provide recommendation. """ _VAPI_SERVICE_ID = 'com.vmware.vcenter.lcm.recommendation' """ Identifier of the service in canonical form. """ def __init__(self, config): """ :type config: :class:`vmware.vapi.bindings.stub.StubConfiguration` :param config: Configuration to be used for creating the stub. """ VapiInterface.__init__(self, config, _RecommendationStub) class DeploymentSizeDestinationAppliance(VapiStruct): """ Spec to describe the new appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, ova_location=None, ova_location_ssl_verify=None, ova_location_ssl_thumbprint=None, ): """ :type ova_location: :class:`str` or ``None`` :param ova_location: The location of the ova file. Not required. :type ova_location_ssl_verify: :class:`bool` or ``None`` :param ova_location_ssl_verify: A flag to indicate whether the ssl verification is required. If ``ovaLocationSslThumbprint`` is provided, this field can be omitted If None, defaults to True :type ova_location_ssl_thumbprint: :class:`str` or ``None`` :param ova_location_ssl_thumbprint: SSL thumbprint of ssl verification. If provided, ssl_verify can be omitted or set to true. If omitted, ssl_verify must be false. If omitted and ssl_verify is true, an error will occur. If ova_location_ssl_verify is False, this field can be omitted """ self.ova_location = ova_location self.ova_location_ssl_verify = ova_location_ssl_verify self.ova_location_ssl_thumbprint = ova_location_ssl_thumbprint VapiStruct.__init__(self) DeploymentSizeDestinationAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.recommendation.deployment_size_destination_appliance', { 'ova_location': type.OptionalType(type.StringType()), 'ova_location_ssl_verify': type.OptionalType(type.BooleanType()), 'ova_location_ssl_thumbprint': type.OptionalType(type.StringType()), }, DeploymentSizeDestinationAppliance, False, None)) class MigrateDeploymentSizeRequest(VapiStruct): """ The request for recommending migrate deployment size. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_appliance=None, source_vc_windows=None, existing_migration_assistant=None, start_migration_assistant=None, source_vum_location=None, source_vum=None, ): """ :type destination_appliance: :class:`Recommendation.DeploymentSizeDestinationAppliance` :param destination_appliance: Spec to describe the new appliance. :type source_vc_windows: :class:`SourceVcWindows` :param source_vc_windows: Spec to describe the existing Windows vCenter server to migrate. :type existing_migration_assistant: :class:`ExistingMigrationAssistant` or ``None`` :param existing_migration_assistant: Spec to describe the attributes of a running Migration Assistant on the Windows vCenter server. Only applicable when migration assistant is already running on the source appliance :type start_migration_assistant: :class:`MigrationAssistant` or ``None`` :param start_migration_assistant: Spec to automate the invocation of Migration Assistant. Automatic invocation works only if the source Windows installation is running as a virtual machine. Only applicable when migration assistant is not running on the source appliance. :type source_vum_location: :class:`Connection` or ``None`` :param source_vum_location: The configuration to connect to an ESX/VC. :type source_vum: :class:`SourceVum` or ``None`` :param source_vum: This section describes the source vSphere Update Manager (VUM) which you want to upgrade. Not applicable for appliance not having source vSphere Update Manager """ self.destination_appliance = destination_appliance self.source_vc_windows = source_vc_windows self.existing_migration_assistant = existing_migration_assistant self.start_migration_assistant = start_migration_assistant self.source_vum_location = source_vum_location self.source_vum = source_vum VapiStruct.__init__(self) MigrateDeploymentSizeRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.recommendation.migrate_deployment_size_request', { 'destination_appliance': type.ReferenceType(__name__, 'Recommendation.DeploymentSizeDestinationAppliance'), 'source_vc_windows': type.ReferenceType(__name__, 'SourceVcWindows'), 'existing_migration_assistant': type.OptionalType(type.ReferenceType(__name__, 'ExistingMigrationAssistant')), 'start_migration_assistant': type.OptionalType(type.ReferenceType(__name__, 'MigrationAssistant')), 'source_vum_location': type.OptionalType(type.ReferenceType(__name__, 'Connection')), 'source_vum': type.OptionalType(type.ReferenceType(__name__, 'SourceVum')), }, MigrateDeploymentSizeRequest, False, None)) class UpgradeDeploymentSizeRequest(VapiStruct): """ The request for recommending upgrade deployment size. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_appliance=None, source_location=None, source_appliance=None, source_vum=None, source_vum_location=None, ): """ :type destination_appliance: :class:`Recommendation.DeploymentSizeDestinationAppliance` :param destination_appliance: Spec to describe the new appliance :type source_location: :class:`Connection` :param source_location: The configuration to connect to an ESX/VC. :type source_appliance: :class:`UpgradeSourceAppliance` :param source_appliance: Spec to describe the existing appliance to upgrade. :type source_vum: :class:`SourceVum` or ``None`` :param source_vum: This section describes the source vSphere Update Manager (VUM) which you want to upgrade. Not applicable for appliance not having source vSphere Update Manager :type source_vum_location: :class:`Connection` or ``None`` :param source_vum_location: The configuration to connect to an ESX/VC. """ self.destination_appliance = destination_appliance self.source_location = source_location self.source_appliance = source_appliance self.source_vum = source_vum self.source_vum_location = source_vum_location VapiStruct.__init__(self) UpgradeDeploymentSizeRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.recommendation.upgrade_deployment_size_request', { 'destination_appliance': type.ReferenceType(__name__, 'Recommendation.DeploymentSizeDestinationAppliance'), 'source_location': type.ReferenceType(__name__, 'Connection'), 'source_appliance': type.ReferenceType(__name__, 'UpgradeSourceAppliance'), 'source_vum': type.OptionalType(type.ReferenceType(__name__, 'SourceVum')), 'source_vum_location': type.OptionalType(type.ReferenceType(__name__, 'Connection')), }, UpgradeDeploymentSizeRequest, False, None)) class DatastoreRequest(VapiStruct): """ The request for recommending datastore. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_location=None, destination_appliance=None, ): """ :type destination_location: :class:`Recommendation.DatastoreDestinationLocation` :param destination_location: This subsection describes the ESX or VC on which to deploy the appliance. :type destination_appliance: :class:`Recommendation.DatastoreDestinationAppliance` :param destination_appliance: Spec to describe the new appliance. """ self.destination_location = destination_location self.destination_appliance = destination_appliance VapiStruct.__init__(self) DatastoreRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.recommendation.datastore_request', { 'destination_location': type.ReferenceType(__name__, 'Recommendation.DatastoreDestinationLocation'), 'destination_appliance': type.ReferenceType(__name__, 'Recommendation.DatastoreDestinationAppliance'), }, DatastoreRequest, False, None)) class DatastoreDestinationAppliance(VapiStruct): """ The configuration of destination appliance to recommend datastore. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, appliance_size=None, appliance_disk_size=None, ova_location=None, ova_location_ssl_verify=None, ova_location_ssl_thumbprint=None, ): """ :type appliance_size: :class:`ApplianceSize` or ``None`` :param appliance_size: A size descriptor based on the number of virtual machines which will be managed by the new vCenter appliance. If None, defaults to SMALL :type appliance_disk_size: :class:`StorageSize` or ``None`` :param appliance_disk_size: The disk size of the new vCenter appliance. If None, defaults to REGULAR :type ova_location: :class:`str` or ``None`` :param ova_location: The location of the ova file. Not required. :type ova_location_ssl_verify: :class:`bool` or ``None`` :param ova_location_ssl_verify: A flag to indicate whether the ssl verification is required. If ``ovaLocationSslThumbprint`` is provided, this field can be omitted If None, defaults to True :type ova_location_ssl_thumbprint: :class:`str` or ``None`` :param ova_location_ssl_thumbprint: SSL thumbprint of ssl verification. If provided, ssl_verify can be omitted or set to true. If omitted, ssl_verify must be false. If omitted and ssl_verify is true, an error will occur. If ova_location_ssl_verify is False, this field can be omitted """ self.appliance_size = appliance_size self.appliance_disk_size = appliance_disk_size self.ova_location = ova_location self.ova_location_ssl_verify = ova_location_ssl_verify self.ova_location_ssl_thumbprint = ova_location_ssl_thumbprint VapiStruct.__init__(self) DatastoreDestinationAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.recommendation.datastore_destination_appliance', { 'appliance_size': type.OptionalType(type.ReferenceType(__name__, 'ApplianceSize')), 'appliance_disk_size': type.OptionalType(type.ReferenceType(__name__, 'StorageSize')), 'ova_location': type.OptionalType(type.StringType()), 'ova_location_ssl_verify': type.OptionalType(type.BooleanType()), 'ova_location_ssl_thumbprint': type.OptionalType(type.StringType()), }, DatastoreDestinationAppliance, False, None)) class DatastoreDestinationLocation(VapiStruct): """ This subsection describes the ESX or VC on which to deploy the appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, esx=None, vcenter=None, ): """ :type esx: :class:`Recommendation.DatastoreEsx` or ``None`` :param esx: This section describes the ESX host on which to deploy the appliance. Required if you are deploying the appliance directly on an ESX host. Mutual exclusive between ``esx`` and ``vcenter`` :type vcenter: :class:`Recommendation.DatastoreVc` or ``None`` :param vcenter: This subsection describes the vCenter on which to deploy the appliance. Mutual exclusive between ``esx`` and ``vcenter`` """ self.esx = esx self.vcenter = vcenter VapiStruct.__init__(self) DatastoreDestinationLocation._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.recommendation.datastore_destination_location', { 'esx': type.OptionalType(type.ReferenceType(__name__, 'Recommendation.DatastoreEsx')), 'vcenter': type.OptionalType(type.ReferenceType(__name__, 'Recommendation.DatastoreVc')), }, DatastoreDestinationLocation, False, None)) class DatastoreEsx(VapiStruct): """ This section describes the ESX host on which to deploy the appliance. Required if you are deploying the appliance directly on an ESX host. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, connection=None, ): """ :type connection: :class:`Connection` :param connection: The configuration to connect to an ESX/VC. """ self.connection = connection VapiStruct.__init__(self) DatastoreEsx._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.recommendation.datastore_esx', { 'connection': type.ReferenceType(__name__, 'Connection'), }, DatastoreEsx, False, None)) class DatastoreVc(VapiStruct): """ This subsection describes the vCenter on which to deploy the appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, connection=None, inventory=None, ): """ :type connection: :class:`Connection` :param connection: The configuration to connect to an ESX/VC. :type inventory: :class:`Recommendation.DatastoreVcInventory` :param inventory: All names are case-sensitive. you can install the appliance to one of the following destinations: 1. A resource pool in a cluster, use 'cluster_path'. 2. A specific ESX host in a cluster, use 'host_path'. 3. A resource pool in a specific ESX host being managed by the current vCenter, use 'resource_pool_path'. You must always provide the 'network_name' key. To install a new appliance to a specific ESX host in a cluster, provide the 'host_path' key, and the 'datastore_name', e.g. 'host_path': '/MyDataCenter/host/MyCluster/10.20.30.40', 'datastore_name': 'Your Datastore'. To install a new appliance to a specific resource pool, provide the 'resource_pool_path', and the 'datastore_name', e.g. 'resource_pool_path': '/Your Datacenter Folder/Your Datacenter/host/Your Cluster/Resources/Your Resource Pool', 'datastore_name': 'Your Datastore'. To place a new appliance to a virtual machine Folder, provide the 'vm_folder_path', e.g. 'vm_folder_path': 'VM Folder 0/VM Folder1'. """ self.connection = connection self.inventory = inventory VapiStruct.__init__(self) DatastoreVc._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.recommendation.datastore_vc', { 'connection': type.ReferenceType(__name__, 'Connection'), 'inventory': type.ReferenceType(__name__, 'Recommendation.DatastoreVcInventory'), }, DatastoreVc, False, None)) class DatastoreVcInventory(VapiStruct): """ All names are case-sensitive. you can install the appliance to one of the following destinations: 1. A resource pool in a cluster, use 'cluster_path'. 2. A specific ESX host in a cluster, use 'host_path'. 3. A resource pool in a specific ESX host being managed by the current vCenter, use 'resource_pool_path'. You must always provide the 'network_name' key. To install a new appliance to a specific ESX host in a cluster, provide the 'host_path' key, and the 'datastore_name', e.g. 'host_path': '/MyDataCenter/host/MyCluster/10.20.30.40', 'datastore_name': 'Your Datastore'. To install a new appliance to a specific resource pool, provide the 'resource_pool_path', and the 'datastore_name', e.g. 'resource_pool_path': '/Your Datacenter Folder/Your Datacenter/host/Your Cluster/Resources/Your Resource Pool', 'datastore_name': 'Your Datastore'. To place a new appliance to a virtual machine Folder, provide the 'vm_folder_path', e.g. 'vm_folder_path': 'VM Folder 0/VM Folder1'. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, host_path=None, ): """ :type host_path: :class:`str` :param host_path: Full path to an ESX host. Format: /{datacenter folder}/{datacenter name}/host/{host name}. e.g: /Your Datacenter Folder/Your Datacenter/host/Your Host """ self.host_path = host_path VapiStruct.__init__(self) DatastoreVcInventory._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.recommendation.datastore_vc_inventory', { 'host_path': type.StringType(), }, DatastoreVcInventory, False, None)) class DatastoreInfo(VapiStruct): """ Datastore space information. Space information are in GB unit. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, freespace=None, freespace_after_placement=None, required_space=None, ): """ :type freespace: :class:`float` :param freespace: The amount of space that the datastore currently has. :type freespace_after_placement: :class:`float` :param freespace_after_placement: The amount of space that the datastore will have after deployment. :type required_space: :class:`float` :param required_space: The amount of space that the deployment will occupy. """ self.freespace = freespace self.freespace_after_placement = freespace_after_placement self.required_space = required_space VapiStruct.__init__(self) DatastoreInfo._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.recommendation.datastore_info', { 'freespace': type.DoubleType(), 'freespace_after_placement': type.DoubleType(), 'required_space': type.DoubleType(), }, DatastoreInfo, False, None)) def scan_migrate_deployment_size_task(self, spec, ): """ Recommend deployment sizes based on the configuration given in the specification. :type spec: :class:`Recommendation.MigrateDeploymentSizeRequest` :param spec: The specification that contains information needed to recommend deloyment size. :rtype: :class: `vmware.vapi.stdlib.client.task.Task` :return: Task instance """ task_id = self._invoke('scan_migrate_deployment_size$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.MapType(type.StringType(), type.ListType(type.StringType()))) return task_instance def scan_datastore_task(self, spec, ): """ Recommend a datastore for the appliance to be deployed in. :type spec: :class:`Recommendation.DatastoreRequest` :param spec: The specification contains the information needed to recommend datastore :rtype: :class: `vmware.vapi.stdlib.client.task.Task` :return: Task instance """ task_id = self._invoke('scan_datastore$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.MapType(type.StringType(), type.ReferenceType(__name__, 'Recommendation.DatastoreInfo'))) return task_instance def scan_upgrade_deployment_size_task(self, spec, ): """ Recommend deployment sizes based on the configuration given in the specification. :type spec: :class:`Recommendation.UpgradeDeploymentSizeRequest` :param spec: The specification that contains information needed to recommend deloyment size. :rtype: :class: `vmware.vapi.stdlib.client.task.Task` :return: Task instance """ task_id = self._invoke('scan_upgrade_deployment_size$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.MapType(type.StringType(), type.ListType(type.StringType()))) return task_instance class Upgrade(VapiInterface): """ The service to upgrade an existing appliance to Embedded VCSA, PSC, and Management VCSA. """ _VAPI_SERVICE_ID = 'com.vmware.vcenter.lcm.upgrade' """ Identifier of the service in canonical form. """ def __init__(self, config): """ :type config: :class:`vmware.vapi.bindings.stub.StubConfiguration` :param config: Configuration to be used for creating the stub. """ VapiInterface.__init__(self, config, _UpgradeStub) class UpgradeDestinationAppliance(VapiStruct): """ Spec to describe the new appliance .. tip:: The arguments are used to initialize data attributes with the same names. """ _validator_list = [ UnionValidator( 'appliance_type', { 'VCSA_EMBEDDED' : [('appliance_size', False), ('appliance_disk_size', False), ('vcsa_embedded', True)], 'VCSA_EXTERNAL' : [('appliance_size', False), ('appliance_disk_size', False)], 'PSC' : [('psc', True)], 'VMC' : [], } ), ] def __init__(self, appliance_name=None, appliance_type=None, appliance_size=None, appliance_disk_size=None, thin_disk_mode=None, ova_location=None, ova_location_ssl_verify=None, ova_location_ssl_thumbprint=None, ovftool_location=None, ovftool_location_ssl_verify=None, ovftool_location_ssl_thumbprint=None, services=None, temporary_network=None, history=None, ovftool_arguments=None, vcsa_embedded=None, psc=None, ): """ :type appliance_name: :class:`str` :param appliance_name: The name of the appliance to deploy. :type appliance_type: :class:`ApplianceType` :param appliance_type: The type of appliance to deploy. :type appliance_size: :class:`ApplianceSize` or ``None`` :param appliance_size: A size descriptor based on the number of virtual machines which will be managed by the new vCenter appliance. If None, defaults to SMALL :type appliance_disk_size: :class:`StorageSize` or ``None`` :param appliance_disk_size: The disk size of the new vCenter appliance. If None, defaults to REGULAR :type thin_disk_mode: :class:`bool` :param thin_disk_mode: Whether to deploy the appliance with thin mode virtual disks. :type ova_location: :class:`str` :param ova_location: The location of the OVA file. :type ova_location_ssl_verify: :class:`bool` or ``None`` :param ova_location_ssl_verify: A flag to indicate whether the ssl verification is required. If ``ovaLocationSslThumbprint`` is provided, this field can be omitted If None, defaults to True :type ova_location_ssl_thumbprint: :class:`str` or ``None`` :param ova_location_ssl_thumbprint: SSL thumbprint of ssl verification. If provided, ssl_verify can be omitted or set to true. If omitted, ssl_verify must be false. If omitted and ssl_verify is true, an error will occur. If ova_location_ssl_verify is False, this field can be omitted :type ovftool_location: :class:`str` :param ovftool_location: The location of the OVF Tool. :type ovftool_location_ssl_verify: :class:`bool` or ``None`` :param ovftool_location_ssl_verify: Flag to indicate whether or not to verify the SSL thumbprint of OVF Tool location. Default to be True. :type ovftool_location_ssl_thumbprint: :class:`str` or ``None`` :param ovftool_location_ssl_thumbprint: SSL thumbprint of OVF Tool location to be verified. When ``ovftoolLocationSslVerify`` is set to False, this field can be omitted. :type services: :class:`UpgradeDestinationApplianceService` :param services: Spec to configure vCenter server services. :type temporary_network: :class:`TemporaryNetwork` :param temporary_network: The network settings of the appliance to be deployed. :type history: :class:`History` or ``None`` :param history: History data to be included in the upgrade and migrate Default value will be applied when absent :type ovftool_arguments: (:class:`dict` of :class:`str` and :class:`str`) or ``None`` :param ovftool_arguments: The OVF Tool arguments to be included. Not required when no OVF Tool argument to pass through :type vcsa_embedded: :class:`CeipOnlySso` :param vcsa_embedded: Spec used to configure an embedded vCenter Server. This field describes how the embedded vCenter Server appliance should be configured. This attribute is optional and it is only relevant when the value of ``applianceType`` is :attr:`ApplianceType.VCSA_EMBEDDED`. :type psc: :class:`CeipOnlySso` :param psc: Spec used to configure a Platform Services Controller. This section describes how the Platform Services Controller appliance should be configured. If unset, either ``vcsaEmbedded`` or ``#vcsaExternal`` must be provided. This attribute is optional and it is only relevant when the value of ``applianceType`` is :attr:`ApplianceType.PSC`. """ self.appliance_name = appliance_name self.appliance_type = appliance_type self.appliance_size = appliance_size self.appliance_disk_size = appliance_disk_size self.thin_disk_mode = thin_disk_mode self.ova_location = ova_location self.ova_location_ssl_verify = ova_location_ssl_verify self.ova_location_ssl_thumbprint = ova_location_ssl_thumbprint self.ovftool_location = ovftool_location self.ovftool_location_ssl_verify = ovftool_location_ssl_verify self.ovftool_location_ssl_thumbprint = ovftool_location_ssl_thumbprint self.services = services self.temporary_network = temporary_network self.history = history self.ovftool_arguments = ovftool_arguments self.vcsa_embedded = vcsa_embedded self.psc = psc VapiStruct.__init__(self) UpgradeDestinationAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.upgrade.upgrade_destination_appliance', { 'appliance_name': type.StringType(), 'appliance_type': type.ReferenceType(__name__, 'ApplianceType'), 'appliance_size': type.OptionalType(type.ReferenceType(__name__, 'ApplianceSize')), 'appliance_disk_size': type.OptionalType(type.ReferenceType(__name__, 'StorageSize')), 'thin_disk_mode': type.BooleanType(), 'ova_location': type.StringType(), 'ova_location_ssl_verify': type.OptionalType(type.BooleanType()), 'ova_location_ssl_thumbprint': type.OptionalType(type.StringType()), 'ovftool_location': type.StringType(), 'ovftool_location_ssl_verify': type.OptionalType(type.BooleanType()), 'ovftool_location_ssl_thumbprint': type.OptionalType(type.StringType()), 'services': type.ReferenceType(__name__, 'UpgradeDestinationApplianceService'), 'temporary_network': type.ReferenceType(__name__, 'TemporaryNetwork'), 'history': type.OptionalType(type.ReferenceType(__name__, 'History')), 'ovftool_arguments': type.OptionalType(type.MapType(type.StringType(), type.StringType())), 'vcsa_embedded': type.OptionalType(type.ReferenceType(__name__, 'CeipOnlySso')), 'psc': type.OptionalType(type.ReferenceType(__name__, 'CeipOnlySso')), }, UpgradeDestinationAppliance, False, None)) class Spec(VapiStruct): """ Spec to describe the configuration parameters that are required for upgrade of a vCenter Server Appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_location=None, destination_appliance=None, source_location=None, source_appliance=None, source_vum=None, source_vum_location=None, ): """ :type destination_location: :class:`DestinationLocation` :param destination_location: This subsection describes the ESX or VC on which to deploy the appliance. :type destination_appliance: :class:`Upgrade.UpgradeDestinationAppliance` :param destination_appliance: Spec to describe the new appliance :type source_location: :class:`Connection` :param source_location: The configuration to connect to an ESX/VC. :type source_appliance: :class:`UpgradeSourceAppliance` :param source_appliance: Spec to describe the existing appliance to upgrade. :type source_vum: :class:`SourceVum` or ``None`` :param source_vum: This section describes the source vSphere Update Manager (VUM) which you want to upgrade. Not applicable for appliance not having source vSphere Update Manager :type source_vum_location: :class:`Connection` or ``None`` :param source_vum_location: The configuration to connect to an ESX/VC. """ self.destination_location = destination_location self.destination_appliance = destination_appliance self.source_location = source_location self.source_appliance = source_appliance self.source_vum = source_vum self.source_vum_location = source_vum_location VapiStruct.__init__(self) Spec._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.upgrade.spec', { 'destination_location': type.ReferenceType(__name__, 'DestinationLocation'), 'destination_appliance': type.ReferenceType(__name__, 'Upgrade.UpgradeDestinationAppliance'), 'source_location': type.ReferenceType(__name__, 'Connection'), 'source_appliance': type.ReferenceType(__name__, 'UpgradeSourceAppliance'), 'source_vum': type.OptionalType(type.ReferenceType(__name__, 'SourceVum')), 'source_vum_location': type.OptionalType(type.ReferenceType(__name__, 'Connection')), }, Spec, False, None)) def check_task(self, spec, options=None, ): """ Performs a precheck for the given specification. The result of this operation can be queried by calling the cis/tasks/{task-id} with the task-id in the response of this call. :type spec: :class:`Upgrade.Spec` :param spec: The specification of the deployment. :type options: :class:`DeploymentOption` or ``None`` :param options: The deployment precheck options. :raise: :class:`com.vmware.vapi.std.errors_client.InvalidArgument` If the given spec and/or option contains error. """ task_id = self._invoke('check$task', { 'spec': spec, 'options': options, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.VoidType()) return task_instance def start_task(self, spec, ): """ Deploys the appliance for the given specification. The result of this operation can be queried by calling the cis/tasks/{task-id} with the task-id in the response of this call. :type spec: :class:`Upgrade.Spec` :param spec: The specification of the deployment. :raise: :class:`com.vmware.vapi.std.errors_client.InvalidArgument` If the given specification contains error. """ task_id = self._invoke('start$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.VoidType()) return task_instance class Validation(VapiInterface): """ The service that provides validation of a section of full deployment specification. """ _VAPI_SERVICE_ID = 'com.vmware.vcenter.lcm.validation' """ Identifier of the service in canonical form. """ def __init__(self, config): """ :type config: :class:`vmware.vapi.bindings.stub.StubConfiguration` :param config: Configuration to be used for creating the stub. """ VapiInterface.__init__(self, config, _ValidationStub) class UpgradeSourceApplianceDestinationAppliance(VapiStruct): """ Spec to describe the new appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, ova_location=None, ova_location_ssl_verify=None, ova_location_ssl_thumbprint=None, ): """ :type ova_location: :class:`str` or ``None`` :param ova_location: The location of the ova file. Not required. :type ova_location_ssl_verify: :class:`bool` or ``None`` :param ova_location_ssl_verify: A flag to indicate whether the ssl verification is required. If ``ovaLocationSslThumbprint`` is provided, this field can be omitted If None, defaults to True :type ova_location_ssl_thumbprint: :class:`str` or ``None`` :param ova_location_ssl_thumbprint: SSL thumbprint of ssl verification. If provided, ssl_verify can be omitted or set to true. If omitted, ssl_verify must be false. If omitted and ssl_verify is true, an error will occur. If ova_location_ssl_verify is False, this field can be omitted """ self.ova_location = ova_location self.ova_location_ssl_verify = ova_location_ssl_verify self.ova_location_ssl_thumbprint = ova_location_ssl_thumbprint VapiStruct.__init__(self) UpgradeSourceApplianceDestinationAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.upgrade_source_appliance_destination_appliance', { 'ova_location': type.OptionalType(type.StringType()), 'ova_location_ssl_verify': type.OptionalType(type.BooleanType()), 'ova_location_ssl_thumbprint': type.OptionalType(type.StringType()), }, UpgradeSourceApplianceDestinationAppliance, False, None)) class UpgradeSourceApplianceRequest(VapiStruct): """ The configuration to validate source appliance for upgrade. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_appliance=None, source_appliance=None, source_location=None, ): """ :type destination_appliance: :class:`Validation.UpgradeSourceApplianceDestinationAppliance` :param destination_appliance: Spec to describe the new appliance. :type source_appliance: :class:`UpgradeSourceAppliance` :param source_appliance: The source appliance configuration. :type source_location: :class:`Connection` :param source_location: The source location configuration. """ self.destination_appliance = destination_appliance self.source_appliance = source_appliance self.source_location = source_location VapiStruct.__init__(self) UpgradeSourceApplianceRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.upgrade_source_appliance_request', { 'destination_appliance': type.ReferenceType(__name__, 'Validation.UpgradeSourceApplianceDestinationAppliance'), 'source_appliance': type.ReferenceType(__name__, 'UpgradeSourceAppliance'), 'source_location': type.ReferenceType(__name__, 'Connection'), }, UpgradeSourceApplianceRequest, False, None)) class SourceLocationRequest(VapiStruct): """ This subsection describes the ESX or VC on which to deploy the appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, source_location=None, ): """ :type source_location: :class:`Connection` :param source_location: The source location configuration """ self.source_location = source_location VapiStruct.__init__(self) SourceLocationRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.source_location_request', { 'source_location': type.ReferenceType(__name__, 'Connection'), }, SourceLocationRequest, False, None)) class SourceVumRequest(VapiStruct): """ The request that contains information needed to verify the credentials of source vSphere Update Manager and run the migration assistant. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, source_vc_windows=None, source_appliance=None, source_vum_location=None, source_vum=None, ): """ :type source_vc_windows: :class:`Validation.SourceVumSourceVcWindows` or ``None`` :param source_vc_windows: Spec to describe the existing Windows vCenter server to migrate. :type source_appliance: :class:`Validation.SourceVumUpgradeSourceAppliance` or ``None`` :param source_appliance: Source appliance configuration for upgrade service. :type source_vum_location: :class:`Connection` or ``None`` :param source_vum_location: The configuration to connect to an ESX/VC. :type source_vum: :class:`SourceVum` :param source_vum: This section describes the source vSphere Update Manager (VUM) which you want to upgrade. """ self.source_vc_windows = source_vc_windows self.source_appliance = source_appliance self.source_vum_location = source_vum_location self.source_vum = source_vum VapiStruct.__init__(self) SourceVumRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.source_vum_request', { 'source_vc_windows': type.OptionalType(type.ReferenceType(__name__, 'Validation.SourceVumSourceVcWindows')), 'source_appliance': type.OptionalType(type.ReferenceType(__name__, 'Validation.SourceVumUpgradeSourceAppliance')), 'source_vum_location': type.OptionalType(type.ReferenceType(__name__, 'Connection')), 'source_vum': type.ReferenceType(__name__, 'SourceVum'), }, SourceVumRequest, False, None)) class SourceVumUpgradeSourceAppliance(VapiStruct): """ Source appliance configuration for upgrade service. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, sso_admin_username=None, sso_admin_password=None, ): """ :type sso_admin_username: :class:`str` :param sso_admin_username: vCenter Single Sign-On administrator user name of the source appliance. :type sso_admin_password: :class:`str` :param sso_admin_password: vCenter Single Sign-On administrator password of the source appliance. """ self.sso_admin_username = sso_admin_username self.sso_admin_password = sso_admin_password VapiStruct.__init__(self) SourceVumUpgradeSourceAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.source_vum_upgrade_source_appliance', { 'sso_admin_username': type.StringType(), 'sso_admin_password': type.SecretType(), }, SourceVumUpgradeSourceAppliance, False, None)) class SourceVumSourceVcWindows(VapiStruct): """ Spec to describe the existing Windows vCenter server to migrate. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, username=None, password=None, ): """ :type username: :class:`str` :param username: Single Sign-On administrator user on the source Windows vCenter server. For example, administrator\\\\@vsphere.local. Important: The user must be administrator\\\\@your_domain_name. :type password: :class:`str` :param password: The password of the Single Sign-On administrator on the source Windows vCenter server. """ self.username = username self.password = password VapiStruct.__init__(self) SourceVumSourceVcWindows._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.source_vum_source_vc_windows', { 'username': type.StringType(), 'password': type.SecretType(), }, SourceVumSourceVcWindows, False, None)) class OsPasswordRequest(VapiStruct): """ The request that contains information needed to verify the given password conforms password policy. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_appliance=None, ): """ :type destination_appliance: :class:`Validation.OsPasswordDestinationAppliance` :param destination_appliance: Spec to describe the new appliance. """ self.destination_appliance = destination_appliance VapiStruct.__init__(self) OsPasswordRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.os_password_request', { 'destination_appliance': type.ReferenceType(__name__, 'Validation.OsPasswordDestinationAppliance'), }, OsPasswordRequest, False, None)) class OsPasswordDestinationAppliance(VapiStruct): """ Spec to describe the new appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, root_password=None, ): """ :type root_password: :class:`str` :param root_password: Password must conform to the following requirements: 1. At least 8 characters. 2. No more than 20 characters. 3. At least 1 uppercase character. 4. At least 1 lowercase character. 5. At least 1 number. 6. At least 1 special character (e.g., '!', '(', '\\\\@', etc.). 7. Only visible A-Z, a-z, 0-9 and punctuation (spaces are not allowed) """ self.root_password = root_password VapiStruct.__init__(self) OsPasswordDestinationAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.os_password_destination_appliance', { 'root_password': type.SecretType(), }, OsPasswordDestinationAppliance, False, None)) class NtpServerRequest(VapiStruct): """ A request that contains the information needed to validate the given ntp servers. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_appliance=None, ): """ :type destination_appliance: :class:`Validation.NtpServerDestinationAppliance` :param destination_appliance: Spec to describe the new appliance. """ self.destination_appliance = destination_appliance VapiStruct.__init__(self) NtpServerRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.ntp_server_request', { 'destination_appliance': type.ReferenceType(__name__, 'Validation.NtpServerDestinationAppliance'), }, NtpServerRequest, False, None)) class NtpServerDestinationAppliance(VapiStruct): """ Spec to describe the new appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, time=None, ): """ :type time: :class:`Time` :param time: Configuration of the vCSA time synchronization. """ self.time = time VapiStruct.__init__(self) NtpServerDestinationAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.ntp_server_destination_appliance', { 'time': type.ReferenceType(__name__, 'Time'), }, NtpServerDestinationAppliance, False, None)) class EsxRequest(VapiStruct): """ The request that contains the information to verify esx management status. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_location=None, source_location=None, source_vum_location=None, ): """ :type destination_location: :class:`Validation.EsxDestinationLocation` :param destination_location: This subsection describes the ESX or VC on which to deploy the appliance. :type source_location: :class:`Connection` or ``None`` :param source_location: The configuration to connect to an ESX/VC. :type source_vum_location: :class:`Connection` or ``None`` :param source_vum_location: The configuration to connect to an ESX/VC. """ self.destination_location = destination_location self.source_location = source_location self.source_vum_location = source_vum_location VapiStruct.__init__(self) EsxRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.esx_request', { 'destination_location': type.ReferenceType(__name__, 'Validation.EsxDestinationLocation'), 'source_location': type.OptionalType(type.ReferenceType(__name__, 'Connection')), 'source_vum_location': type.OptionalType(type.ReferenceType(__name__, 'Connection')), }, EsxRequest, False, None)) class EsxDestinationLocation(VapiStruct): """ This subsection describes the ESX or VC on which to deploy the appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, esx=None, vcenter=None, ): """ :type esx: :class:`Validation.ContainerWithoutInventory` or ``None`` :param esx: This section describes the ESX host on which to deploy the appliance. Required if you are deploying the appliance directly on an ESX host. Mutual exclusive between ``esx`` and ``vcenter`` :type vcenter: :class:`Validation.ContainerWithoutInventory` or ``None`` :param vcenter: This subsection describes the vCenter on which to deploy the appliance. Mutual exclusive between ``esx`` and ``vcenter`` """ self.esx = esx self.vcenter = vcenter VapiStruct.__init__(self) EsxDestinationLocation._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.esx_destination_location', { 'esx': type.OptionalType(type.ReferenceType(__name__, 'Validation.ContainerWithoutInventory')), 'vcenter': type.OptionalType(type.ReferenceType(__name__, 'Validation.ContainerWithoutInventory')), }, EsxDestinationLocation, False, None)) class ContainerWithoutInventory(VapiStruct): """ This section describes the ESX host on which to deploy the appliance. Required if you are deploying the appliance directly on an ESX host. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, connection=None, ): """ :type connection: :class:`Connection` :param connection: The configuration to connect to an ESX/VC. """ self.connection = connection VapiStruct.__init__(self) ContainerWithoutInventory._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.container_without_inventory', { 'connection': type.ReferenceType(__name__, 'Connection'), }, ContainerWithoutInventory, False, None)) class NetworkRequest(VapiStruct): """ The request that contains network information to be validated. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_appliance=None, ): """ :type destination_appliance: :class:`Validation.NetworkDestinationAppliance` :param destination_appliance: Spec to describe the new appliance. """ self.destination_appliance = destination_appliance VapiStruct.__init__(self) NetworkRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.network_request', { 'destination_appliance': type.ReferenceType(__name__, 'Validation.NetworkDestinationAppliance'), }, NetworkRequest, False, None)) class NetworkDestinationAppliance(VapiStruct): """ Spec to describe the new appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, network=None, ): """ :type network: :class:`Network` :param network: The network settings of the appliance to be deployed. """ self.network = network VapiStruct.__init__(self) NetworkDestinationAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.network_destination_appliance', { 'network': type.ReferenceType(__name__, 'Network'), }, NetworkDestinationAppliance, False, None)) class TemporaryNetworkRequest(VapiStruct): """ The request that contains network information to be validated. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_appliance=None, ): """ :type destination_appliance: :class:`Validation.TemporaryNetworkDestinationAppliance` :param destination_appliance: Spec to describe the new appliance. """ self.destination_appliance = destination_appliance VapiStruct.__init__(self) TemporaryNetworkRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.temporary_network_request', { 'destination_appliance': type.ReferenceType(__name__, 'Validation.TemporaryNetworkDestinationAppliance'), }, TemporaryNetworkRequest, False, None)) class TemporaryNetworkDestinationAppliance(VapiStruct): """ Spec to describe the new appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, network=None, ): """ :type network: :class:`TemporaryNetwork` :param network: The network settings of the appliance to be deployed. """ self.network = network VapiStruct.__init__(self) TemporaryNetworkDestinationAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.temporary_network_destination_appliance', { 'network': type.ReferenceType(__name__, 'TemporaryNetwork'), }, TemporaryNetworkDestinationAppliance, False, None)) class ApplianceNameRequest(VapiStruct): """ Data container that contains the information needed to validate appliance name. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_location=None, destination_appliance=None, ): """ :type destination_location: :class:`Validation.ApplianceNameDestinationLocation` :param destination_location: This subsection describes the ESX or VC on which to deploy the appliance. :type destination_appliance: :class:`Validation.ApplianceNameDestinationAppliance` :param destination_appliance: Spec to describe the new appliance. """ self.destination_location = destination_location self.destination_appliance = destination_appliance VapiStruct.__init__(self) ApplianceNameRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.appliance_name_request', { 'destination_location': type.ReferenceType(__name__, 'Validation.ApplianceNameDestinationLocation'), 'destination_appliance': type.ReferenceType(__name__, 'Validation.ApplianceNameDestinationAppliance'), }, ApplianceNameRequest, False, None)) class ApplianceNameDestinationAppliance(VapiStruct): """ Data container for appliance name information used in validation of appliance name request. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, appliance_name=None, ): """ :type appliance_name: :class:`str` :param appliance_name: The name of the appliance to deploy. """ self.appliance_name = appliance_name VapiStruct.__init__(self) ApplianceNameDestinationAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.appliance_name_destination_appliance', { 'appliance_name': type.StringType(), }, ApplianceNameDestinationAppliance, False, None)) class ApplianceNameDestinationLocation(VapiStruct): """ .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, esx=None, vcenter=None, ): """ :type esx: :class:`Validation.ApplianceNameEsx` or ``None`` :param esx: This section describes the ESX host on which to deploy the appliance. Required if you are deploying the appliance directly on an ESX host. Mutual exclusive between ``esx`` and ``vcenter`` :type vcenter: :class:`Validation.ApplianceNameVc` or ``None`` :param vcenter: This subsection describes the vCenter on which to deploy the appliance. Mutual exclusive between ``esx`` and ``vcenter`` """ self.esx = esx self.vcenter = vcenter VapiStruct.__init__(self) ApplianceNameDestinationLocation._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.appliance_name_destination_location', { 'esx': type.OptionalType(type.ReferenceType(__name__, 'Validation.ApplianceNameEsx')), 'vcenter': type.OptionalType(type.ReferenceType(__name__, 'Validation.ApplianceNameVc')), }, ApplianceNameDestinationLocation, False, None)) class ApplianceNameEsx(VapiStruct): """ This section describes the ESX host on which to deploy the appliance. Required if you are deploying the appliance directly on an ESX host. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, connection=None, ): """ :type connection: :class:`Connection` :param connection: The configuration to connect to an ESX/VC. """ self.connection = connection VapiStruct.__init__(self) ApplianceNameEsx._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.appliance_name_esx', { 'connection': type.ReferenceType(__name__, 'Connection'), }, ApplianceNameEsx, False, None)) class ApplianceNameEsxInventory(VapiStruct): """ The configuration of ESX inventory. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, resource_pool_path=None, ): """ :type resource_pool_path: :class:`str` or ``None`` :param resource_pool_path: The path to the resource pool on the ESX host in which the appliance will be deployed. Not applicable when not in resource pool """ self.resource_pool_path = resource_pool_path VapiStruct.__init__(self) ApplianceNameEsxInventory._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.appliance_name_esx_inventory', { 'resource_pool_path': type.OptionalType(type.StringType()), }, ApplianceNameEsxInventory, False, None)) class ApplianceNameVc(VapiStruct): """ This subsection describes the vCenter on which to deploy the appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, connection=None, inventory=None, ): """ :type connection: :class:`Connection` :param connection: The configuration to connect to an ESX/VC. :type inventory: :class:`Validation.ApplianceNameVcInventory` :param inventory: All names are case-sensitive. you can install the appliance to one of the following destinations: 1. A resource pool in a cluster, use 'cluster_path'. 2. A specific ESX host in a cluster, use 'host_path'. 3. A resource pool in a specific ESX host being managed by the current vCenter, use 'resource_pool_path'. You must always provide the 'network_name' key. To install a new appliance to a specific ESX host in a cluster, provide the 'host_path' key, and the 'datastore_name', e.g. 'host_path': '/MyDataCenter/host/MyCluster/10.20.30.40', 'datastore_name': 'Your Datastore'. To install a new appliance to a specific resource pool, provide the 'resource_pool_path', and the 'datastore_name', e.g. 'resource_pool_path': '/Your Datacenter Folder/Your Datacenter/host/Your Cluster/Resources/Your Resource Pool', 'datastore_name': 'Your Datastore'. To place a new appliance to a virtual machine Folder, provide the 'vm_folder_path', e.g. 'vm_folder_path': 'VM Folder 0/VM Folder1'. """ self.connection = connection self.inventory = inventory VapiStruct.__init__(self) ApplianceNameVc._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.appliance_name_vc', { 'connection': type.ReferenceType(__name__, 'Connection'), 'inventory': type.ReferenceType(__name__, 'Validation.ApplianceNameVcInventory'), }, ApplianceNameVc, False, None)) class ApplianceNameVcInventory(VapiStruct): """ All names are case-sensitive. you can install the appliance to one of the following destinations: 1. A resource pool in a cluster, use 'cluster_path'. 2. A specific ESX host in a cluster, use 'host_path'. 3. A resource pool in a specific ESX host being managed by the current vCenter, use 'resource_pool_path'. You must always provide the 'network_name' key. To install a new appliance to a specific ESX host in a cluster, provide the 'host_path' key, and the 'datastore_name', e.g. 'host_path': '/MyDataCenter/host/MyCluster/10.20.30.40', 'datastore_name': 'Your Datastore'. To install a new appliance to a specific resource pool, provide the 'resource_pool_path', and the 'datastore_name', e.g. 'resource_pool_path': '/Your Datacenter Folder/Your Datacenter/host/Your Cluster/Resources/Your Resource Pool', 'datastore_name': 'Your Datastore'. To place a new appliance to a virtual machine Folder, provide the 'vm_folder_path', e.g. 'vm_folder_path': 'VM Folder 0/VM Folder1'. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, vm_folder_path=None, resource_pool_path=None, cluster_path=None, host_path=None, ): """ :type vm_folder_path: :class:`str` or ``None`` :param vm_folder_path: :type resource_pool_path: :class:`str` or ``None`` :param resource_pool_path: Full path to resource pool. Format: /{datacenter folder}/{datacenter name}/host/{host name}/{cluster_name}/Resources/{resource pool}. e.g: /Your Datacenter Folder/Your Datacenter/host/Your Cluster/Resources/Your Resource Pool Mutually exclusive between ``#resource_pool_path``, ``#cluster_path``, and ``#host_path`` :type cluster_path: :class:`str` or ``None`` :param cluster_path: Full path to the cluster. Format: /{datacenter folder}/{datacenter name}/host/{cluster_name}. e.g: /Your Datacenter Folder/Your Datacenter/host/Your Cluster Mutually exclusive between ``#resource_pool_path``, ``#cluster_path``, and ``#host_path`` :type host_path: :class:`str` or ``None`` :param host_path: Full path to an ESX host. Format: /{datacenter folder}/{datacenter name}/host/{host name}. e.g: /Your Datacenter Folder/Your Datacenter/host/Your Host Mutually exclusive between ``#resource_pool_path``, ``#cluster_path``, and ``#host_path`` """ self.vm_folder_path = vm_folder_path self.resource_pool_path = resource_pool_path self.cluster_path = cluster_path self.host_path = host_path VapiStruct.__init__(self) ApplianceNameVcInventory._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.appliance_name_vc_inventory', { 'vm_folder_path': type.OptionalType(type.StringType()), 'resource_pool_path': type.OptionalType(type.StringType()), 'cluster_path': type.OptionalType(type.StringType()), 'host_path': type.OptionalType(type.StringType()), }, ApplianceNameVcInventory, False, None)) class DestinationLocationRequest(VapiStruct): """ This subsection describes the ESX or VC on which to deploy the appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_location=None, ): """ :type destination_location: :class:`Validation.ValidationDestinationLocation` :param destination_location: The destination location configuration. """ self.destination_location = destination_location VapiStruct.__init__(self) DestinationLocationRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.destination_location_request', { 'destination_location': type.ReferenceType(__name__, 'Validation.ValidationDestinationLocation'), }, DestinationLocationRequest, False, None)) class ValidationDestinationLocation(VapiStruct): """ This subsection describes the ESX or VC on which to deploy the appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, esx=None, vcenter=None, ): """ :type esx: :class:`Validation.DestinationLocationEsx` or ``None`` :param esx: This section describes the ESX host on which to deploy the appliance. Required if you are deploying the appliance directly on an ESX host. Mutual exclusive between ``esx`` and ``vcenter`` :type vcenter: :class:`Validation.DestinationLocationVc` or ``None`` :param vcenter: This subsection describes the vCenter on which to deploy the appliance. Mutual exclusive between ``esx`` and ``vcenter`` """ self.esx = esx self.vcenter = vcenter VapiStruct.__init__(self) ValidationDestinationLocation._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.validation_destination_location', { 'esx': type.OptionalType(type.ReferenceType(__name__, 'Validation.DestinationLocationEsx')), 'vcenter': type.OptionalType(type.ReferenceType(__name__, 'Validation.DestinationLocationVc')), }, ValidationDestinationLocation, False, None)) class DestinationLocationEsx(VapiStruct): """ This section describes the ESX host on which to deploy the appliance. Required if you are deploying the appliance directly on an ESX host. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, connection=None, ): """ :type connection: :class:`Connection` :param connection: The configuration to connect to an ESX/VC. """ self.connection = connection VapiStruct.__init__(self) DestinationLocationEsx._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.destination_location_esx', { 'connection': type.ReferenceType(__name__, 'Connection'), }, DestinationLocationEsx, False, None)) class DestinationLocationVc(VapiStruct): """ This subsection describes the vCenter on which to deploy the appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, connection=None, inventory=None, ): """ :type connection: :class:`Connection` :param connection: The configuration to connect to an ESX/VC. :type inventory: :class:`VcInventory` or ``None`` :param inventory: All names are case-sensitive. you can install the appliance to one of the following destinations: 1. A resource pool in a cluster, use 'cluster_path'. 2. A specific ESX host in a cluster, use 'host_path'. 3. A resource pool in a specific ESX host being managed by the current vCenter, use 'resource_pool_path'. You must always provide the 'network_name' key. To install a new appliance to a specific ESX host in a cluster, provide the 'host_path' key, and the 'datastore_name', e.g. 'host_path': '/MyDataCenter/host/MyCluster/10.20.30.40', 'datastore_name': 'Your Datastore'. To install a new appliance to a specific resource pool, provide the 'resource_pool_path', and the 'datastore_name', e.g. 'resource_pool_path': '/Your Datacenter Folder/Your Datacenter/host/Your Cluster/Resources/Your Resource Pool', 'datastore_name': 'Your Datastore'. To place a new appliance to a virtual machine Folder, provide the 'vm_folder_path', e.g. 'vm_folder_path': 'VM Folder 0/VM Folder1'. """ self.connection = connection self.inventory = inventory VapiStruct.__init__(self) DestinationLocationVc._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.destination_location_vc', { 'connection': type.ReferenceType(__name__, 'Connection'), 'inventory': type.OptionalType(type.ReferenceType(__name__, 'VcInventory')), }, DestinationLocationVc, False, None)) class HostConfigRequest(VapiStruct): """ Data container that contains the information needed to validate appliance name. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_location=None, destination_appliance=None, ): """ :type destination_location: :class:`Validation.HostConfigDestinationLocation` :param destination_location: This subsection describes the ESX or VC on which to deploy the appliance. :type destination_appliance: :class:`Validation.HostConfigDestinationAppliance` :param destination_appliance: Spec to describe the new appliance. """ self.destination_location = destination_location self.destination_appliance = destination_appliance VapiStruct.__init__(self) HostConfigRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.host_config_request', { 'destination_location': type.ReferenceType(__name__, 'Validation.HostConfigDestinationLocation'), 'destination_appliance': type.ReferenceType(__name__, 'Validation.HostConfigDestinationAppliance'), }, HostConfigRequest, False, None)) class HostConfigDestinationAppliance(VapiStruct): """ Data container for appliance name information used in validation of appliance name request. .. tip:: The arguments are used to initialize data attributes with the same names. """ _validator_list = [ UnionValidator( 'appliance_type', { 'VCSA_EXTERNAL' : [], 'VCSA_EMBEDDED' : [], 'PSC' : [], 'VMC' : [], } ), ] def __init__(self, appliance_name=None, appliance_type=None, appliance_size=None, appliance_disk_size=None, thin_disk_mode=None, ova_location=None, ova_location_ssl_verify=None, ova_location_ssl_thumbprint=None, ): """ :type appliance_name: :class:`str` :param appliance_name: The name of the appliance to deploy. :type appliance_type: :class:`ApplianceType` :param appliance_type: The type of appliance to deploy. :type appliance_size: :class:`ApplianceSize` or ``None`` :param appliance_size: A size descriptor based on the number of virtual machines which will be managed by the new vCenter appliance. If None, defaults to SMALL :type appliance_disk_size: :class:`StorageSize` or ``None`` :param appliance_disk_size: The disk size of the new vCenter appliance. If None, defaults to REGULAR :type thin_disk_mode: :class:`bool` :param thin_disk_mode: Whether to deploy the appliance with thin mode virtual disks. :type ova_location: :class:`str` or ``None`` :param ova_location: The location of the ova file. Not required. :type ova_location_ssl_verify: :class:`bool` or ``None`` :param ova_location_ssl_verify: A flag to indicate whether the ssl verification is required. If ``ovaLocationSslThumbprint`` is provided, this field can be omitted If None, defaults to True :type ova_location_ssl_thumbprint: :class:`str` or ``None`` :param ova_location_ssl_thumbprint: SSL thumbprint of ssl verification. If provided, ssl_verify can be omitted or set to true. If omitted, ssl_verify must be false. If omitted and ssl_verify is true, an error will occur. If ova_location_ssl_verify is False, this field can be omitted """ self.appliance_name = appliance_name self.appliance_type = appliance_type self.appliance_size = appliance_size self.appliance_disk_size = appliance_disk_size self.thin_disk_mode = thin_disk_mode self.ova_location = ova_location self.ova_location_ssl_verify = ova_location_ssl_verify self.ova_location_ssl_thumbprint = ova_location_ssl_thumbprint VapiStruct.__init__(self) HostConfigDestinationAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.host_config_destination_appliance', { 'appliance_name': type.StringType(), 'appliance_type': type.ReferenceType(__name__, 'ApplianceType'), 'appliance_size': type.OptionalType(type.ReferenceType(__name__, 'ApplianceSize')), 'appliance_disk_size': type.OptionalType(type.ReferenceType(__name__, 'StorageSize')), 'thin_disk_mode': type.BooleanType(), 'ova_location': type.OptionalType(type.StringType()), 'ova_location_ssl_verify': type.OptionalType(type.BooleanType()), 'ova_location_ssl_thumbprint': type.OptionalType(type.StringType()), }, HostConfigDestinationAppliance, False, None)) class HostConfigDestinationLocation(VapiStruct): """ This subsection describes the ESX or VC on which to deploy the appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, esx=None, vcenter=None, ): """ :type esx: :class:`Validation.HostConfigEsx` or ``None`` :param esx: This section describes the ESX host on which to deploy the appliance. Required if you are deploying the appliance directly on an ESX host. Mutual exclusive between ``esx`` and ``vcenter`` :type vcenter: :class:`Validation.HostConfigVc` or ``None`` :param vcenter: This subsection describes the vCenter on which to deploy the appliance. Mutual exclusive between ``esx`` and ``vcenter`` """ self.esx = esx self.vcenter = vcenter VapiStruct.__init__(self) HostConfigDestinationLocation._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.host_config_destination_location', { 'esx': type.OptionalType(type.ReferenceType(__name__, 'Validation.HostConfigEsx')), 'vcenter': type.OptionalType(type.ReferenceType(__name__, 'Validation.HostConfigVc')), }, HostConfigDestinationLocation, False, None)) class HostConfigEsx(VapiStruct): """ This section describes the ESX host on which to deploy the appliance. Required if you are deploying the appliance directly on an ESX host. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, connection=None, inventory=None, ): """ :type connection: :class:`Connection` :param connection: The configuration to connect to an ESX/VC. :type inventory: :class:`Validation.HostConfigEsxInventory` :param inventory: The configuration of ESX inventory. """ self.connection = connection self.inventory = inventory VapiStruct.__init__(self) HostConfigEsx._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.host_config_esx', { 'connection': type.ReferenceType(__name__, 'Connection'), 'inventory': type.ReferenceType(__name__, 'Validation.HostConfigEsxInventory'), }, HostConfigEsx, False, None)) class HostConfigEsxInventory(VapiStruct): """ The configuration of ESX inventory. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, datastore_name=None, resource_pool_path=None, ): """ :type datastore_name: :class:`str` :param datastore_name: The datastore on which to store the files of the appliance. This value has to be either a specific datastore name, or a specific datastore in a datastore cluster. The datastore must be accessible from the ESX host and must have at least 25 GB of free space. Otherwise, the new appliance might not power on. :type resource_pool_path: :class:`str` or ``None`` :param resource_pool_path: The path to the resource pool on the ESX host in which the appliance will be deployed. Not applicable when not in resource pool """ self.datastore_name = datastore_name self.resource_pool_path = resource_pool_path VapiStruct.__init__(self) HostConfigEsxInventory._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.host_config_esx_inventory', { 'datastore_name': type.StringType(), 'resource_pool_path': type.OptionalType(type.StringType()), }, HostConfigEsxInventory, False, None)) class HostConfigVc(VapiStruct): """ This subsection describes the vCenter on which to deploy the appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, connection=None, inventory=None, ): """ :type connection: :class:`Connection` :param connection: The configuration to connect to an ESX/VC. :type inventory: :class:`Validation.HostConfigVcInventory` :param inventory: All names are case-sensitive. you can install the appliance to one of the following destinations: 1. A resource pool in a cluster, use 'cluster_path'. 2. A specific ESX host in a cluster, use 'host_path'. 3. A resource pool in a specific ESX host being managed by the current vCenter, use 'resource_pool_path'. You must always provide the 'network_name' key. To install a new appliance to a specific ESX host in a cluster, provide the 'host_path' key, and the 'datastore_name', e.g. 'host_path': '/MyDataCenter/host/MyCluster/10.20.30.40', 'datastore_name': 'Your Datastore'. To install a new appliance to a specific resource pool, provide the 'resource_pool_path', and the 'datastore_name', e.g. 'resource_pool_path': '/Your Datacenter Folder/Your Datacenter/host/Your Cluster/Resources/Your Resource Pool', 'datastore_name': 'Your Datastore'. To place a new appliance to a virtual machine Folder, provide the 'vm_folder_path', e.g. 'vm_folder_path': 'VM Folder 0/VM Folder1'. """ self.connection = connection self.inventory = inventory VapiStruct.__init__(self) HostConfigVc._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.host_config_vc', { 'connection': type.ReferenceType(__name__, 'Connection'), 'inventory': type.ReferenceType(__name__, 'Validation.HostConfigVcInventory'), }, HostConfigVc, False, None)) class HostConfigVcInventory(VapiStruct): """ All names are case-sensitive. you can install the appliance to one of the following destinations: 1. A resource pool in a cluster, use 'cluster_path'. 2. A specific ESX host in a cluster, use 'host_path'. 3. A resource pool in a specific ESX host being managed by the current vCenter, use 'resource_pool_path'. You must always provide the 'network_name' key. To install a new appliance to a specific ESX host in a cluster, provide the 'host_path' key, and the 'datastore_name', e.g. 'host_path': '/MyDataCenter/host/MyCluster/10.20.30.40', 'datastore_name': 'Your Datastore'. To install a new appliance to a specific resource pool, provide the 'resource_pool_path', and the 'datastore_name', e.g. 'resource_pool_path': '/Your Datacenter Folder/Your Datacenter/host/Your Cluster/Resources/Your Resource Pool', 'datastore_name': 'Your Datastore'. To place a new appliance to a virtual machine Folder, provide the 'vm_folder_path', e.g. 'vm_folder_path': 'VM Folder 0/VM Folder1'. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, vm_folder_path=None, resource_pool_path=None, cluster_path=None, host_path=None, datastore_name=None, datastore_cluster_name=None, ): """ :type vm_folder_path: :class:`str` or ``None`` :param vm_folder_path: Path of the VM folder. VM folder must be visible by the Data Center of the compute resourceFormat:{vm_folder1}/{vm_folder2}e.g.:'VM Folder 0/VM Folder1'. Mutually exclusive between ``#resource_pool_path``, ``#cluster_path``, and ``#host_path`` :type resource_pool_path: :class:`str` or ``None`` :param resource_pool_path: Full path to resource pool. Format: /{datacenter folder}/{datacenter name}/host/{host name}/{cluster_name}/Resources/{resource pool}. e.g: /Your Datacenter Folder/Your Datacenter/host/Your Cluster/Resources/Your Resource Pool Mutually exclusive between ``#resource_pool_path``, ``#cluster_path``, and ``#host_path`` :type cluster_path: :class:`str` or ``None`` :param cluster_path: Full path to the cluster. Format: /{datacenter folder}/{datacenter name}/host/{cluster_name}. e.g: /Your Datacenter Folder/Your Datacenter/host/Your Cluster Mutually exclusive between ``#resource_pool_path``, ``#cluster_path``, and ``#host_path`` :type host_path: :class:`str` or ``None`` :param host_path: :type datastore_name: :class:`str` or ``None`` :param datastore_name: The datastore on which to store the files of the appliance. This value has to be either a specific datastore name, or a specific datastore in a datastore cluster. The datastore must be accessible from the ESX host and must have at least 25 GB of free space. Otherwise, the new appliance might not power on. Mutually exclusive between ``#datastore_name`` and ``#datastore_cluster_name`` :type datastore_cluster_name: :class:`str` or ``None`` :param datastore_cluster_name: The datastore cluster on which to store the files of the appliance. Mutually exclusive between ``#datastore_name`` and ``#datastore_cluster_name`` """ self.vm_folder_path = vm_folder_path self.resource_pool_path = resource_pool_path self.cluster_path = cluster_path self.host_path = host_path self.datastore_name = datastore_name self.datastore_cluster_name = datastore_cluster_name VapiStruct.__init__(self) HostConfigVcInventory._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.host_config_vc_inventory', { 'vm_folder_path': type.OptionalType(type.StringType()), 'resource_pool_path': type.OptionalType(type.StringType()), 'cluster_path': type.OptionalType(type.StringType()), 'host_path': type.OptionalType(type.StringType()), 'datastore_name': type.OptionalType(type.StringType()), 'datastore_cluster_name': type.OptionalType(type.StringType()), }, HostConfigVcInventory, False, None)) class MigrateSourceApplianceRequest(VapiStruct): """ This subsection describes the ESX or VC on which to deploy the appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_appliance=None, source_vc_windows=None, existing_migration_assistant=None, start_migration_assistant=None, source_vum_location=None, source_vum=None, ): """ :type destination_appliance: :class:`Recommendation.DeploymentSizeDestinationAppliance` :param destination_appliance: Spec to describe the new appliance. :type source_vc_windows: :class:`SourceVcWindows` :param source_vc_windows: Spec to describe the existing Windows vCenter server to migrate. :type existing_migration_assistant: :class:`ExistingMigrationAssistant` or ``None`` :param existing_migration_assistant: Spec to describe the attributes of a running Migration Assistant on the Windows vCenter server. Only applicable when migration assistant is already running on the source appliance :type start_migration_assistant: :class:`MigrationAssistant` or ``None`` :param start_migration_assistant: Spec to automate the invocation of Migration Assistant. Automatic invocation works only if the source Windows installation is running as a virtual machine. Only applicable when migration assistant is not running on the source appliance. :type source_vum_location: :class:`Connection` or ``None`` :param source_vum_location: The configuration to connect to an ESX/VC. :type source_vum: :class:`SourceVum` or ``None`` :param source_vum: This section describes the source vSphere Update Manager (VUM) which you want to upgrade. Not applicable for appliance not having source vSphere Update Manager """ self.destination_appliance = destination_appliance self.source_vc_windows = source_vc_windows self.existing_migration_assistant = existing_migration_assistant self.start_migration_assistant = start_migration_assistant self.source_vum_location = source_vum_location self.source_vum = source_vum VapiStruct.__init__(self) MigrateSourceApplianceRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.migrate_source_appliance_request', { 'destination_appliance': type.ReferenceType(__name__, 'Recommendation.DeploymentSizeDestinationAppliance'), 'source_vc_windows': type.ReferenceType(__name__, 'SourceVcWindows'), 'existing_migration_assistant': type.OptionalType(type.ReferenceType(__name__, 'ExistingMigrationAssistant')), 'start_migration_assistant': type.OptionalType(type.ReferenceType(__name__, 'MigrationAssistant')), 'source_vum_location': type.OptionalType(type.ReferenceType(__name__, 'Connection')), 'source_vum': type.OptionalType(type.ReferenceType(__name__, 'SourceVum')), }, MigrateSourceApplianceRequest, False, None)) class SsoConfigurationRequest(VapiStruct): """ The request that contains information needed to verify the Single Sign-On configuration. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, destination_appliance=None, ): """ :type destination_appliance: :class:`Validation.SsoConfigurationDestinationAppliance` :param destination_appliance: Destination appliance configuration needed to validate Single Sign-On. """ self.destination_appliance = destination_appliance VapiStruct.__init__(self) SsoConfigurationRequest._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.sso_configuration_request', { 'destination_appliance': type.ReferenceType(__name__, 'Validation.SsoConfigurationDestinationAppliance'), }, SsoConfigurationRequest, False, None)) class SsoConfigurationDestinationAppliance(VapiStruct): """ Spec to describe the new appliance. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, vcsa_embedded=None, psc=None, vcsa_external=None, ): """ :type vcsa_embedded: :class:`Validation.SsoConfigurationVcsaEmbedded` or ``None`` :param vcsa_embedded: Configuration of Single Sign-On for deploying Embedded. Mutuall exclusive between embedded, PSC, and management node. :type psc: :class:`Validation.SsoConfigurationPsc` or ``None`` :param psc: Configuration of Single Sign-On for deploying PSC. Mutuall exclusive between embedded, PSC, and management node. :type vcsa_external: :class:`ExternalVcsa` or ``None`` :param vcsa_external: Configuration of Single Sign-On for deploying management node. Mutuall exclusive between embedded, PSC, and management node. """ self.vcsa_embedded = vcsa_embedded self.psc = psc self.vcsa_external = vcsa_external VapiStruct.__init__(self) SsoConfigurationDestinationAppliance._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.sso_configuration_destination_appliance', { 'vcsa_embedded': type.OptionalType(type.ReferenceType(__name__, 'Validation.SsoConfigurationVcsaEmbedded')), 'psc': type.OptionalType(type.ReferenceType(__name__, 'Validation.SsoConfigurationPsc')), 'vcsa_external': type.OptionalType(type.ReferenceType(__name__, 'ExternalVcsa')), }, SsoConfigurationDestinationAppliance, False, None)) class SsoConfigurationVcsaEmbedded(VapiStruct): """ Spec used to configure an embedded vCenter Server. This field describes how the embedded vCenter Server appliance should be configured. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, standalone=None, replicated=None, ): """ :type standalone: :class:`EmbeddedStandaloneVcsa` or ``None`` :param standalone: Spec used to configure a standalone embedded vCenter Server. This field describes how the standalone vCenter Server appliance should be configured. Mutually exclusive between ``standalone`` and ``replicated`` :type replicated: :class:`EmbeddedReplicatedVcsa` or ``None`` :param replicated: Spec used to configure a replicated embedded vCenter Server. This field describes how the replicated vCenter Server appliance should be configured. Mutually exclusive between ``standalone`` and ``replicated`` """ self.standalone = standalone self.replicated = replicated VapiStruct.__init__(self) SsoConfigurationVcsaEmbedded._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.sso_configuration_vcsa_embedded', { 'standalone': type.OptionalType(type.ReferenceType(__name__, 'EmbeddedStandaloneVcsa')), 'replicated': type.OptionalType(type.ReferenceType(__name__, 'EmbeddedReplicatedVcsa')), }, SsoConfigurationVcsaEmbedded, False, None)) class SsoConfigurationPsc(VapiStruct): """ Spec used to configure a Platform Services Controller. This section describes how the Platform Services Controller appliance should be configured. If unset, either ``#vcsaEmbedded`` or ``#vcsaExternal`` must be provided. .. tip:: The arguments are used to initialize data attributes with the same names. """ def __init__(self, standalone=None, replicated=None, ): """ :type standalone: :class:`PscStandalone` or ``None`` :param standalone: Spec used to configure a standalone Platform Services Controller. This section describes how the standalone PSC should be configured. Mutually exclusive between ``standalone`` and ``replicated`` :type replicated: :class:`PscReplicated` or ``None`` :param replicated: Spec used to configure a replicated Platform Services Controller. This section describes how the replicated PSC should be configured. Mutually exclusive between ``standalone`` and ``replicated`` """ self.standalone = standalone self.replicated = replicated VapiStruct.__init__(self) SsoConfigurationPsc._set_binding_type(type.StructType( 'com.vmware.vcenter.lcm.validation.sso_configuration_psc', { 'standalone': type.OptionalType(type.ReferenceType(__name__, 'PscStandalone')), 'replicated': type.OptionalType(type.ReferenceType(__name__, 'PscReplicated')), }, SsoConfigurationPsc, False, None)) def check_appliance_name_task(self, spec, ): """ Validate the name of the appliance to be deployed. #. 1. Return False if the there is already an appliance that has the same name as given in the spec exist in the path. :type spec: :class:`Validation.ApplianceNameRequest` :param spec: The configuration needed to validate the name of the appliance to be deployed. :rtype: :class: `vmware.vapi.stdlib.client.task.Task` :return: Task instance """ task_id = self._invoke('check_appliance_name$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.BooleanType()) return task_instance def check_os_password_task(self, spec, ): """ Validate if the given password conforms password policy. #. 1. Return False if the password in the spec violates password policy :type spec: :class:`Validation.OsPasswordRequest` :param spec: The configuration needed to validate the given password against password policy. :rtype: :class: `vmware.vapi.stdlib.client.task.Task` :return: Task instance """ task_id = self._invoke('check_os_password$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.BooleanType()) return task_instance def check_network_task(self, spec, ): """ Check to see if the given network configuration is valid. #. 1. Return False if the given network will cause conflict. #. 2. Always return True if network mode is set to DHCP. :type spec: :class:`Validation.NetworkRequest` :param spec: The configuration needed to validate network. :rtype: :class: `vmware.vapi.stdlib.client.task.Task` :return: Task instance """ task_id = self._invoke('check_network$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.BooleanType()) return task_instance def check_host_config_task(self, spec, ): """ Validate the host configuration. #. 1. Return False if the provided appliance type, appliance size, and disk size combination is not valid. #. 2. Return False if the provided deployment path does not have sufficient memory allocated. #. 3. Return False if the provided deployment path does not have sufficient cpu allocated. #. 3. Return False if the provided deployment path does not have sufficient datastore space. :type spec: :class:`Validation.HostConfigRequest` :param spec: The configuration needed to validate host configuration. :rtype: :class: `vmware.vapi.stdlib.client.task.Task` :return: Task instance """ task_id = self._invoke('check_host_config$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.BooleanType()) return task_instance def check_destination_location_task(self, spec, ): """ Validate the ESX of the appliance to be deployed. :type spec: :class:`Validation.DestinationLocationRequest` :param spec: The configuration needed to validate the ESX of the appliance to be deployed. :rtype: :class: `vmware.vapi.stdlib.client.task.Task` :return: Task instance """ task_id = self._invoke('check_destination_location$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.BooleanType()) return task_instance def check_temporary_network_task(self, spec, ): """ Check to see if the given network configuration is valid. #. 1. Return False if the given network will cause conflict. #. 2. Always return True if network mode is set to DHCP. :type spec: :class:`Validation.TemporaryNetworkRequest` :param spec: The configuration needed to validate network. :rtype: :class: `vmware.vapi.stdlib.client.task.Task` :return: Task instance """ task_id = self._invoke('check_temporary_network$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.BooleanType()) return task_instance def check_source_vum_task(self, spec, ): """ Validate the source VUM configuration. :type spec: :class:`Validation.SourceVumRequest` :param spec: The configuration needed to validate the source VUM. :rtype: :class: `vmware.vapi.stdlib.client.task.Task` :return: Task instance """ task_id = self._invoke('check_source_vum$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.BooleanType()) return task_instance def check_upgrade_source_appliance_task(self, spec, ): """ Validate the source appliance to be upgraded. #. 1. Return False if the provided source appliance credentials are incorrect #. 2. Return False if the provided source location credentials are incorrect. #. 3. Return False if upgrade runner precheck results in error. #. 4. Return False if export directory provided is invalid. :type spec: :class:`Validation.UpgradeSourceApplianceRequest` :param spec: The configuration of the source appliance to be upgraded. :rtype: :class: `vmware.vapi.stdlib.client.task.Task` :return: Task instance """ task_id = self._invoke('check_upgrade_source_appliance$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.BooleanType()) return task_instance def check_migrate_source_appliance_task(self, spec, ): """ Validate the source appliance to be migrated. #. 1. Return False if the provided source windows vc credentials are incorrect #. 2. Return False if migration assistant precheck results in error. :type spec: :class:`Validation.MigrateSourceApplianceRequest` :param spec: The configuration of the source appliance to be migrated. :rtype: :class: `vmware.vapi.stdlib.client.task.Task` :return: Task instance """ task_id = self._invoke('check_migrate_source_appliance$task', { 'spec': spec, }) task_svc = Tasks(self._config) task_instance = Task(task_id, task_svc, type.BooleanType()) return task_instance class _InstallStub(ApiInterfaceStub): def __init__(self, config): # properties for check operation check_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Install.Spec'), 'options': type.OptionalType(type.ReferenceType(__name__, 'DeploymentOption')), }) check_error_dict = { 'com.vmware.vapi.std.errors.invalid_argument': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidArgument'), } check_input_value_validator_list = [ ] check_output_validator_list = [ ] check_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/install?action=check', path_variables={ }, query_parameters={ } ) # properties for start operation start_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Install.Spec'), }) start_error_dict = { 'com.vmware.vapi.std.errors.invalid_argument': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidArgument'), } start_input_value_validator_list = [ ] start_output_validator_list = [ ] start_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/install?action=start', path_variables={ }, query_parameters={ } ) operations = { 'check$task': { 'input_type': check_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': check_error_dict, 'input_value_validator_list': check_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, 'start$task': { 'input_type': start_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': start_error_dict, 'input_value_validator_list': start_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, } rest_metadata = { 'check': check_rest_metadata, 'start': start_rest_metadata, } ApiInterfaceStub.__init__( self, iface_name='com.vmware.vcenter.lcm.install', config=config, operations=operations, rest_metadata=rest_metadata, is_vapi_rest=True) class _LogStub(ApiInterfaceStub): def __init__(self, config): # properties for get operation get_input_type = type.StructType('operation-input', { 'task_id': type.IdType(resource_types='com.vmware.cis.task'), }) get_error_dict = { 'com.vmware.vapi.std.errors.invalid_argument': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidArgument'), } get_input_value_validator_list = [ ] get_output_validator_list = [ ] get_rest_metadata = OperationRestMetadata( http_method='GET', url_template='/vcenter/lcm/logs/{taskId}', path_variables={ 'task_id': 'taskId', }, query_parameters={ } ) operations = { 'get': { 'input_type': get_input_type, 'output_type': type.URIType(), 'errors': get_error_dict, 'input_value_validator_list': get_input_value_validator_list, 'output_validator_list': get_output_validator_list, 'task_type': TaskType.NONE, }, } rest_metadata = { 'get': get_rest_metadata, } ApiInterfaceStub.__init__( self, iface_name='com.vmware.vcenter.lcm.log', config=config, operations=operations, rest_metadata=rest_metadata, is_vapi_rest=True) class _MigrateStub(ApiInterfaceStub): def __init__(self, config): # properties for check operation check_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Migrate.Spec'), 'options': type.OptionalType(type.ReferenceType(__name__, 'DeploymentOption')), }) check_error_dict = { 'com.vmware.vapi.std.errors.invalid_argument': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidArgument'), } check_input_value_validator_list = [ ] check_output_validator_list = [ ] check_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/migration?action=check', path_variables={ }, query_parameters={ } ) # properties for start operation start_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Migrate.Spec'), }) start_error_dict = { 'com.vmware.vapi.std.errors.invalid_argument': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidArgument'), } start_input_value_validator_list = [ ] start_output_validator_list = [ ] start_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/migration?action=start', path_variables={ }, query_parameters={ } ) operations = { 'check$task': { 'input_type': check_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': check_error_dict, 'input_value_validator_list': check_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, 'start$task': { 'input_type': start_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': start_error_dict, 'input_value_validator_list': start_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, } rest_metadata = { 'check': check_rest_metadata, 'start': start_rest_metadata, } ApiInterfaceStub.__init__( self, iface_name='com.vmware.vcenter.lcm.migrate', config=config, operations=operations, rest_metadata=rest_metadata, is_vapi_rest=True) class _RecommendationStub(ApiInterfaceStub): def __init__(self, config): # properties for scan_migrate_deployment_size operation scan_migrate_deployment_size_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Recommendation.MigrateDeploymentSizeRequest'), }) scan_migrate_deployment_size_error_dict = {} scan_migrate_deployment_size_input_value_validator_list = [ ] scan_migrate_deployment_size_output_validator_list = [ ] scan_migrate_deployment_size_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/recommendation?action=scan-migrate-deployment-size', path_variables={ }, query_parameters={ } ) # properties for scan_datastore operation scan_datastore_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Recommendation.DatastoreRequest'), }) scan_datastore_error_dict = {} scan_datastore_input_value_validator_list = [ ] scan_datastore_output_validator_list = [ ] scan_datastore_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/recommendation?action=scan-datastore', path_variables={ }, query_parameters={ } ) # properties for scan_upgrade_deployment_size operation scan_upgrade_deployment_size_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Recommendation.UpgradeDeploymentSizeRequest'), }) scan_upgrade_deployment_size_error_dict = {} scan_upgrade_deployment_size_input_value_validator_list = [ ] scan_upgrade_deployment_size_output_validator_list = [ ] scan_upgrade_deployment_size_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/recommendation?action=scan-upgrade-deployment-size', path_variables={ }, query_parameters={ } ) operations = { 'scan_migrate_deployment_size$task': { 'input_type': scan_migrate_deployment_size_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': scan_migrate_deployment_size_error_dict, 'input_value_validator_list': scan_migrate_deployment_size_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, 'scan_datastore$task': { 'input_type': scan_datastore_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': scan_datastore_error_dict, 'input_value_validator_list': scan_datastore_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, 'scan_upgrade_deployment_size$task': { 'input_type': scan_upgrade_deployment_size_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': scan_upgrade_deployment_size_error_dict, 'input_value_validator_list': scan_upgrade_deployment_size_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, } rest_metadata = { 'scan_migrate_deployment_size': scan_migrate_deployment_size_rest_metadata, 'scan_datastore': scan_datastore_rest_metadata, 'scan_upgrade_deployment_size': scan_upgrade_deployment_size_rest_metadata, } ApiInterfaceStub.__init__( self, iface_name='com.vmware.vcenter.lcm.recommendation', config=config, operations=operations, rest_metadata=rest_metadata, is_vapi_rest=True) class _UpgradeStub(ApiInterfaceStub): def __init__(self, config): # properties for check operation check_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Upgrade.Spec'), 'options': type.OptionalType(type.ReferenceType(__name__, 'DeploymentOption')), }) check_error_dict = { 'com.vmware.vapi.std.errors.invalid_argument': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidArgument'), } check_input_value_validator_list = [ ] check_output_validator_list = [ ] check_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/upgrade?action=check', path_variables={ }, query_parameters={ } ) # properties for start operation start_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Upgrade.Spec'), }) start_error_dict = { 'com.vmware.vapi.std.errors.invalid_argument': type.ReferenceType('com.vmware.vapi.std.errors_client', 'InvalidArgument'), } start_input_value_validator_list = [ ] start_output_validator_list = [ ] start_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/upgrade?action=start', path_variables={ }, query_parameters={ } ) operations = { 'check$task': { 'input_type': check_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': check_error_dict, 'input_value_validator_list': check_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, 'start$task': { 'input_type': start_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': start_error_dict, 'input_value_validator_list': start_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, } rest_metadata = { 'check': check_rest_metadata, 'start': start_rest_metadata, } ApiInterfaceStub.__init__( self, iface_name='com.vmware.vcenter.lcm.upgrade', config=config, operations=operations, rest_metadata=rest_metadata, is_vapi_rest=True) class _ValidationStub(ApiInterfaceStub): def __init__(self, config): # properties for check_appliance_name operation check_appliance_name_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Validation.ApplianceNameRequest'), }) check_appliance_name_error_dict = {} check_appliance_name_input_value_validator_list = [ ] check_appliance_name_output_validator_list = [ ] check_appliance_name_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/validation?action=check-appliance-name', path_variables={ }, query_parameters={ } ) # properties for check_os_password operation check_os_password_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Validation.OsPasswordRequest'), }) check_os_password_error_dict = {} check_os_password_input_value_validator_list = [ ] check_os_password_output_validator_list = [ ] check_os_password_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/validation?action=check-os-password', path_variables={ }, query_parameters={ } ) # properties for check_network operation check_network_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Validation.NetworkRequest'), }) check_network_error_dict = {} check_network_input_value_validator_list = [ ] check_network_output_validator_list = [ ] check_network_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/validation?action=check-network', path_variables={ }, query_parameters={ } ) # properties for check_host_config operation check_host_config_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Validation.HostConfigRequest'), }) check_host_config_error_dict = {} check_host_config_input_value_validator_list = [ ] check_host_config_output_validator_list = [ ] check_host_config_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/validation?action=check-host-config', path_variables={ }, query_parameters={ } ) # properties for check_destination_location operation check_destination_location_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Validation.DestinationLocationRequest'), }) check_destination_location_error_dict = {} check_destination_location_input_value_validator_list = [ ] check_destination_location_output_validator_list = [ ] check_destination_location_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/validation?action=check-destination-location', path_variables={ }, query_parameters={ } ) # properties for check_temporary_network operation check_temporary_network_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Validation.TemporaryNetworkRequest'), }) check_temporary_network_error_dict = {} check_temporary_network_input_value_validator_list = [ ] check_temporary_network_output_validator_list = [ ] check_temporary_network_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/validation?action=check-temporary-network', path_variables={ }, query_parameters={ } ) # properties for check_source_vum operation check_source_vum_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Validation.SourceVumRequest'), }) check_source_vum_error_dict = {} check_source_vum_input_value_validator_list = [ ] check_source_vum_output_validator_list = [ ] check_source_vum_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/validation?action=check-source-vum', path_variables={ }, query_parameters={ } ) # properties for check_upgrade_source_appliance operation check_upgrade_source_appliance_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Validation.UpgradeSourceApplianceRequest'), }) check_upgrade_source_appliance_error_dict = {} check_upgrade_source_appliance_input_value_validator_list = [ ] check_upgrade_source_appliance_output_validator_list = [ ] check_upgrade_source_appliance_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/validation?action=check-upgrade-source-appliance', path_variables={ }, query_parameters={ } ) # properties for check_migrate_source_appliance operation check_migrate_source_appliance_input_type = type.StructType('operation-input', { 'spec': type.ReferenceType(__name__, 'Validation.MigrateSourceApplianceRequest'), }) check_migrate_source_appliance_error_dict = {} check_migrate_source_appliance_input_value_validator_list = [ ] check_migrate_source_appliance_output_validator_list = [ ] check_migrate_source_appliance_rest_metadata = OperationRestMetadata( http_method='POST', url_template='/vcenter/lcm/validation?action=check-migrate-source-appliance', path_variables={ }, query_parameters={ } ) operations = { 'check_appliance_name$task': { 'input_type': check_appliance_name_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': check_appliance_name_error_dict, 'input_value_validator_list': check_appliance_name_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, 'check_os_password$task': { 'input_type': check_os_password_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': check_os_password_error_dict, 'input_value_validator_list': check_os_password_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, 'check_network$task': { 'input_type': check_network_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': check_network_error_dict, 'input_value_validator_list': check_network_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, 'check_host_config$task': { 'input_type': check_host_config_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': check_host_config_error_dict, 'input_value_validator_list': check_host_config_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, 'check_destination_location$task': { 'input_type': check_destination_location_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': check_destination_location_error_dict, 'input_value_validator_list': check_destination_location_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, 'check_temporary_network$task': { 'input_type': check_temporary_network_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': check_temporary_network_error_dict, 'input_value_validator_list': check_temporary_network_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, 'check_source_vum$task': { 'input_type': check_source_vum_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': check_source_vum_error_dict, 'input_value_validator_list': check_source_vum_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, 'check_upgrade_source_appliance$task': { 'input_type': check_upgrade_source_appliance_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': check_upgrade_source_appliance_error_dict, 'input_value_validator_list': check_upgrade_source_appliance_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, 'check_migrate_source_appliance$task': { 'input_type': check_migrate_source_appliance_input_type, 'output_type': type.IdType(resource_types='com.vmware.cis.TASK'), 'errors': check_migrate_source_appliance_error_dict, 'input_value_validator_list': check_migrate_source_appliance_input_value_validator_list, 'output_validator_list': [], 'task_type': TaskType.TASK_ONLY, }, } rest_metadata = { 'check_appliance_name': check_appliance_name_rest_metadata, 'check_os_password': check_os_password_rest_metadata, 'check_network': check_network_rest_metadata, 'check_host_config': check_host_config_rest_metadata, 'check_destination_location': check_destination_location_rest_metadata, 'check_temporary_network': check_temporary_network_rest_metadata, 'check_source_vum': check_source_vum_rest_metadata, 'check_upgrade_source_appliance': check_upgrade_source_appliance_rest_metadata, 'check_migrate_source_appliance': check_migrate_source_appliance_rest_metadata, } ApiInterfaceStub.__init__( self, iface_name='com.vmware.vcenter.lcm.validation', config=config, operations=operations, rest_metadata=rest_metadata, is_vapi_rest=True) class StubFactory(StubFactoryBase): _attrs = { 'Install': Install, 'Log': Log, 'Migrate': Migrate, 'Recommendation': Recommendation, 'Upgrade': Upgrade, 'Validation': Validation, }

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edd794c8c2e7e4d1b212f90dd7d76b92ff6b6ab6

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Python

22/swagger_client/api/lang_detect_controller_api.py

apitore/apitore-sdk-python

c0814c5635ddd09e9a20fcb155b62122bee41d33

[ "Apache-2.0" ]

3

2018-08-21T06:14:33.000Z

2019-10-18T23:05:50.000Z

22/swagger_client/api/lang_detect_controller_api.py

apitore/apitore-sdk-python

c0814c5635ddd09e9a20fcb155b62122bee41d33

[ "Apache-2.0" ]

null

22/swagger_client/api/lang_detect_controller_api.py

apitore/apitore-sdk-python

c0814c5635ddd09e9a20fcb155b62122bee41d33

[ "Apache-2.0" ]

null

# coding: utf-8 """ Language Detection APIs Language detection.<BR />[Endpoint] https://api.apitore.com/api/22 # noqa: E501 OpenAPI spec version: 0.0.1 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import re # noqa: F401 # python 2 and python 3 compatibility library import six from swagger_client.api_client import ApiClient class LangDetectControllerApi(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): if api_client is None: api_client = ApiClient() self.api_client = api_client def get_using_get(self, access_token, text, **kwargs): # noqa: E501 """Language Detection. This supports 53 languages. # noqa: E501 Language Detection.<BR />Response<BR />  Github: <a href=\"https://github.com/keigohtr/apitore-response-parent/tree/master/langdetect-response\">langdetect-response</a><BR />  Class: com.apitore.banana.response.org.jsoup.LanguageResponseEntity<BR /> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_using_get(access_token, text, async=True) >>> result = thread.get() :param async bool :param str access_token: Access Token (required) :param str text: Text [10-20 words over is recommended] (required) :return: LanguageResponseEntity If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.get_using_get_with_http_info(access_token, text, **kwargs) # noqa: E501 else: (data) = self.get_using_get_with_http_info(access_token, text, **kwargs) # noqa: E501 return data def get_using_get_with_http_info(self, access_token, text, **kwargs): # noqa: E501 """Language Detection. This supports 53 languages. # noqa: E501 Language Detection.<BR />Response<BR />  Github: <a href=\"https://github.com/keigohtr/apitore-response-parent/tree/master/langdetect-response\">langdetect-response</a><BR />  Class: com.apitore.banana.response.org.jsoup.LanguageResponseEntity<BR /> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.get_using_get_with_http_info(access_token, text, async=True) >>> result = thread.get() :param async bool :param str access_token: Access Token (required) :param str text: Text [10-20 words over is recommended] (required) :return: LanguageResponseEntity If the method is called asynchronously, returns the request thread. """ all_params = ['access_token', 'text'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'access_token' is set if ('access_token' not in params or params['access_token'] is None): raise ValueError("Missing the required parameter `access_token` when calling `get_using_get`") # noqa: E501 # verify the required parameter 'text' is set if ('text' not in params or params['text'] is None): raise ValueError("Missing the required parameter `text` when calling `get_using_get`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'access_token' in params: query_params.append(('access_token', params['access_token'])) # noqa: E501 if 'text' in params: query_params.append(('text', params['text'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/langdetect/get', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='LanguageResponseEntity', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def sm_get_using_get(self, access_token, text, **kwargs): # noqa: E501 """Language Detection for Short Messages. This supports 53 languages. # noqa: E501 Language Detection.<BR />Response<BR />  Github: <a href=\"https://github.com/keigohtr/apitore-response-parent/tree/master/langdetect-response\">langdetect-response</a><BR />  Class: com.apitore.banana.response.org.jsoup.LanguageResponseEntity<BR /> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.sm_get_using_get(access_token, text, async=True) >>> result = thread.get() :param async bool :param str access_token: Access Token (required) :param str text: Text [Short message like tweet is supported] (required) :return: LanguageResponseEntity If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('async'): return self.sm_get_using_get_with_http_info(access_token, text, **kwargs) # noqa: E501 else: (data) = self.sm_get_using_get_with_http_info(access_token, text, **kwargs) # noqa: E501 return data def sm_get_using_get_with_http_info(self, access_token, text, **kwargs): # noqa: E501 """Language Detection for Short Messages. This supports 53 languages. # noqa: E501 Language Detection.<BR />Response<BR />  Github: <a href=\"https://github.com/keigohtr/apitore-response-parent/tree/master/langdetect-response\">langdetect-response</a><BR />  Class: com.apitore.banana.response.org.jsoup.LanguageResponseEntity<BR /> # noqa: E501 This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please pass async=True >>> thread = api.sm_get_using_get_with_http_info(access_token, text, async=True) >>> result = thread.get() :param async bool :param str access_token: Access Token (required) :param str text: Text [Short message like tweet is supported] (required) :return: LanguageResponseEntity If the method is called asynchronously, returns the request thread. """ all_params = ['access_token', 'text'] # noqa: E501 all_params.append('async') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in six.iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method sm_get_using_get" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'access_token' is set if ('access_token' not in params or params['access_token'] is None): raise ValueError("Missing the required parameter `access_token` when calling `sm_get_using_get`") # noqa: E501 # verify the required parameter 'text' is set if ('text' not in params or params['text'] is None): raise ValueError("Missing the required parameter `text` when calling `sm_get_using_get`") # noqa: E501 collection_formats = {} path_params = {} query_params = [] if 'access_token' in params: query_params.append(('access_token', params['access_token'])) # noqa: E501 if 'text' in params: query_params.append(('text', params['text'])) # noqa: E501 header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.select_header_accept( ['application/json']) # noqa: E501 # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.select_header_content_type( # noqa: E501 ['application/json']) # noqa: E501 # Authentication setting auth_settings = [] # noqa: E501 return self.api_client.call_api( '/langdetect/short/get', 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='LanguageResponseEntity', # noqa: E501 auth_settings=auth_settings, async=params.get('async'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

42.907631

281

0.631037

1,261

10,684

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0.137986

0.04563

0.030523

0.018036

0.927547

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0

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0.266941

10,684

248

282

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0

1

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null

0

1

0

9

edf24d3c30d2f0a9638dab51b47b0302f5d6f703

8,692

py

Python

tests/v2/test_1142-numbers-to-type.py

colesbury/awkward-1.0

d036ab18eb54de8a2571d9f179d315ac8ee22119

[ "BSD-3-Clause" ]

null

tests/v2/test_1142-numbers-to-type.py

colesbury/awkward-1.0

d036ab18eb54de8a2571d9f179d315ac8ee22119

[ "BSD-3-Clause" ]

null

tests/v2/test_1142-numbers-to-type.py

colesbury/awkward-1.0

d036ab18eb54de8a2571d9f179d315ac8ee22119

[ "BSD-3-Clause" ]

null

# BSD 3-Clause License; see https://github.com/scikit-hep/awkward-1.0/blob/main/LICENSE import pytest # noqa: F401 import numpy as np # noqa: F401 import awkward as ak # noqa: F401 def test_numbers_to_type(): one, two = ( ak._v2.highlevel.Array([1, 2, 3]).layout, ak._v2.highlevel.Array([4, 5]).layout, ) assert np.asarray(one.numbers_to_type("bool")).dtype == np.dtype(np.bool_) assert np.asarray(one.numbers_to_type("int8")).dtype == np.dtype(np.int8) assert np.asarray(one.numbers_to_type("uint8")).dtype == np.dtype(np.uint8) assert np.asarray(one.numbers_to_type("int16")).dtype == np.dtype(np.int16) assert np.asarray(one.numbers_to_type("uint16")).dtype == np.dtype(np.uint16) assert np.asarray(one.numbers_to_type("int32")).dtype == np.dtype(np.int32) assert np.asarray(one.numbers_to_type("uint32")).dtype == np.dtype(np.uint32) assert np.asarray(one.numbers_to_type("int64")).dtype == np.dtype(np.int64) assert np.asarray(one.numbers_to_type("uint64")).dtype == np.dtype(np.uint64) assert np.asarray(one.numbers_to_type("float32")).dtype == np.dtype(np.float32) assert np.asarray(one.numbers_to_type("float64")).dtype == np.dtype(np.float64) assert np.asarray(one.numbers_to_type("complex64")).dtype == np.dtype(np.complex64) assert np.asarray(one.numbers_to_type("complex128")).dtype == np.dtype( np.complex128 ) assert np.asarray(one.numbers_to_type("datetime64")).dtype == np.dtype( np.datetime64 ) assert np.asarray(one.numbers_to_type("datetime64[Y]")).dtype == np.dtype( "datetime64[Y]" ) assert np.asarray(one.numbers_to_type("datetime64[M]")).dtype == np.dtype( "datetime64[M]" ) assert np.asarray(one.numbers_to_type("datetime64[W]")).dtype == np.dtype( "datetime64[W]" ) assert np.asarray(one.numbers_to_type("datetime64[D]")).dtype == np.dtype( "datetime64[D]" ) assert np.asarray(one.numbers_to_type("datetime64[h]")).dtype == np.dtype( "datetime64[h]" ) assert np.asarray(one.numbers_to_type("datetime64[m]")).dtype == np.dtype( "datetime64[m]" ) assert np.asarray(one.numbers_to_type("datetime64[s]")).dtype == np.dtype( "datetime64[s]" ) assert np.asarray(one.numbers_to_type("datetime64[ms]")).dtype == np.dtype( "datetime64[ms]" ) assert np.asarray(one.numbers_to_type("datetime64[us]")).dtype == np.dtype( "datetime64[us]" ) assert np.asarray(one.numbers_to_type("datetime64[ns]")).dtype == np.dtype( "datetime64[ns]" ) assert np.asarray(one.numbers_to_type("datetime64[ps]")).dtype == np.dtype( "datetime64[ps]" ) assert np.asarray(one.numbers_to_type("datetime64[fs]")).dtype == np.dtype( "datetime64[fs]" ) assert np.asarray(one.numbers_to_type("datetime64[as]")).dtype == np.dtype( "datetime64[as]" ) assert np.asarray(one.numbers_to_type("timedelta64")).dtype == np.dtype( np.timedelta64 ) assert np.asarray(one.numbers_to_type("timedelta64[Y]")).dtype == np.dtype( "timedelta64[Y]" ) assert np.asarray(one.numbers_to_type("timedelta64[M]")).dtype == np.dtype( "timedelta64[M]" ) assert np.asarray(one.numbers_to_type("timedelta64[W]")).dtype == np.dtype( "timedelta64[W]" ) assert np.asarray(one.numbers_to_type("timedelta64[D]")).dtype == np.dtype( "timedelta64[D]" ) assert np.asarray(one.numbers_to_type("timedelta64[h]")).dtype == np.dtype( "timedelta64[h]" ) assert np.asarray(one.numbers_to_type("timedelta64[m]")).dtype == np.dtype( "timedelta64[m]" ) assert np.asarray(one.numbers_to_type("timedelta64[s]")).dtype == np.dtype( "timedelta64[s]" ) assert np.asarray(one.numbers_to_type("timedelta64[ms]")).dtype == np.dtype( "timedelta64[ms]" ) assert np.asarray(one.numbers_to_type("timedelta64[us]")).dtype == np.dtype( "timedelta64[us]" ) assert np.asarray(one.numbers_to_type("timedelta64[ns]")).dtype == np.dtype( "timedelta64[ns]" ) assert np.asarray(one.numbers_to_type("timedelta64[ps]")).dtype == np.dtype( "timedelta64[ps]" ) assert np.asarray(one.numbers_to_type("timedelta64[fs]")).dtype == np.dtype( "timedelta64[fs]" ) assert np.asarray(one.numbers_to_type("timedelta64[as]")).dtype == np.dtype( "timedelta64[as]" ) assert np.asarray(two.numbers_to_type("bool")).dtype == np.dtype(np.bool_) assert np.asarray(two.numbers_to_type("int8")).dtype == np.dtype(np.int8) assert np.asarray(two.numbers_to_type("uint8")).dtype == np.dtype(np.uint8) assert np.asarray(two.numbers_to_type("int16")).dtype == np.dtype(np.int16) assert np.asarray(two.numbers_to_type("uint16")).dtype == np.dtype(np.uint16) assert np.asarray(two.numbers_to_type("int32")).dtype == np.dtype(np.int32) assert np.asarray(two.numbers_to_type("uint32")).dtype == np.dtype(np.uint32) assert np.asarray(two.numbers_to_type("int64")).dtype == np.dtype(np.int64) assert np.asarray(two.numbers_to_type("uint64")).dtype == np.dtype(np.uint64) assert np.asarray(two.numbers_to_type("float32")).dtype == np.dtype(np.float32) assert np.asarray(two.numbers_to_type("float64")).dtype == np.dtype(np.float64) assert np.asarray(two.numbers_to_type("complex64")).dtype == np.dtype(np.complex64) assert np.asarray(two.numbers_to_type("complex128")).dtype == np.dtype( np.complex128 ) assert np.asarray(two.numbers_to_type("datetime64")).dtype == np.dtype( np.datetime64 ) assert np.asarray(two.numbers_to_type("datetime64[Y]")).dtype == np.dtype( "datetime64[Y]" ) assert np.asarray(two.numbers_to_type("datetime64[M]")).dtype == np.dtype( "datetime64[M]" ) assert np.asarray(two.numbers_to_type("datetime64[W]")).dtype == np.dtype( "datetime64[W]" ) assert np.asarray(two.numbers_to_type("datetime64[D]")).dtype == np.dtype( "datetime64[D]" ) assert np.asarray(two.numbers_to_type("datetime64[h]")).dtype == np.dtype( "datetime64[h]" ) assert np.asarray(two.numbers_to_type("datetime64[m]")).dtype == np.dtype( "datetime64[m]" ) assert np.asarray(two.numbers_to_type("datetime64[s]")).dtype == np.dtype( "datetime64[s]" ) assert np.asarray(two.numbers_to_type("datetime64[ms]")).dtype == np.dtype( "datetime64[ms]" ) assert np.asarray(two.numbers_to_type("datetime64[us]")).dtype == np.dtype( "datetime64[us]" ) assert np.asarray(two.numbers_to_type("datetime64[ns]")).dtype == np.dtype( "datetime64[ns]" ) assert np.asarray(two.numbers_to_type("datetime64[ps]")).dtype == np.dtype( "datetime64[ps]" ) assert np.asarray(two.numbers_to_type("datetime64[fs]")).dtype == np.dtype( "datetime64[fs]" ) assert np.asarray(two.numbers_to_type("datetime64[as]")).dtype == np.dtype( "datetime64[as]" ) assert np.asarray(two.numbers_to_type("timedelta64")).dtype == np.dtype( np.timedelta64 ) assert np.asarray(two.numbers_to_type("timedelta64[Y]")).dtype == np.dtype( "timedelta64[Y]" ) assert np.asarray(two.numbers_to_type("timedelta64[M]")).dtype == np.dtype( "timedelta64[M]" ) assert np.asarray(two.numbers_to_type("timedelta64[W]")).dtype == np.dtype( "timedelta64[W]" ) assert np.asarray(two.numbers_to_type("timedelta64[D]")).dtype == np.dtype( "timedelta64[D]" ) assert np.asarray(two.numbers_to_type("timedelta64[h]")).dtype == np.dtype( "timedelta64[h]" ) assert np.asarray(two.numbers_to_type("timedelta64[m]")).dtype == np.dtype( "timedelta64[m]" ) assert np.asarray(two.numbers_to_type("timedelta64[s]")).dtype == np.dtype( "timedelta64[s]" ) assert np.asarray(two.numbers_to_type("timedelta64[ms]")).dtype == np.dtype( "timedelta64[ms]" ) assert np.asarray(two.numbers_to_type("timedelta64[us]")).dtype == np.dtype( "timedelta64[us]" ) assert np.asarray(two.numbers_to_type("timedelta64[ns]")).dtype == np.dtype( "timedelta64[ns]" ) assert np.asarray(two.numbers_to_type("timedelta64[ps]")).dtype == np.dtype( "timedelta64[ps]" ) assert np.asarray(two.numbers_to_type("timedelta64[fs]")).dtype == np.dtype( "timedelta64[fs]" ) assert np.asarray(two.numbers_to_type("timedelta64[as]")).dtype == np.dtype( "timedelta64[as]" )

40.616822

87

0.645996

1,172

8,692

4.645051

0.056314

0.144012

0.1982

0.135562

0.960691

0.944159

0.91881

0

0.046827

0.176944

8,692

213

88

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0.714146

0.013576

0

0.281553

0

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0

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1

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true

0

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0

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0

null

0

1

0

1

0

null

0

1

0

8

fce87365b2d69419e584fae637f13e6d625d2384

6,532

py

Python

startup/users/30-user_Ruan.py

NSLS-II-SMI/profile_collection

c1e2236a7520f605ac85e7591f05682add06357c

[ "BSD-3-Clause" ]

null

startup/users/30-user_Ruan.py

NSLS-II-SMI/profile_collection

c1e2236a7520f605ac85e7591f05682add06357c

[ "BSD-3-Clause" ]

13

2018-09-25T19:35:08.000Z

2021-01-15T20:42:26.000Z

startup/users/30-user_Ruan.py

NSLS-II-SMI/profile_collection

c1e2236a7520f605ac85e7591f05682add06357c

[ "BSD-3-Clause" ]

3

2019-09-06T01:40:59.000Z

2020-07-01T20:27:39.000Z

def NEXAFS_S_edge(t=0.5): yield from bps.mv(waxs, 60) dets = [pil300KW] name = '17_Phil_pk61_buffer_NEXAFS_3rd' #x = [8800] energies = np.linspace(2450, 2500, 51) #for name, x in zip(names, x): #bps.mv(piezo.x, x) det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_xbpm{xbpm}' for e in energies: yield from bps.mv(energy, e) sample_name = name_fmt.format(sample=name, energy=e, xbpm = '%3.1f'%xbpm3.sumY.value) sample_id(user_name='ZR', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.sleep(2) yield from bps.mv(energy, 2470) yield from bps.sleep(10) def NEXAFS_Cl_edge(t=0.5): yield from bps.mv(waxs, 60) dets = [pil300KW] name = '7_Le_13_Cl_saxs_solution' #x = [8800] energies = np.linspace(2800, 2850, 51) #for name, x in zip(names, x): #bps.mv(piezo.x, x) det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_xbpm{xbpm}' for e in energies: yield from bps.mv(energy, e) sample_name = name_fmt.format(sample=name, energy=e, xbpm = '%3.1f'%xbpm3.sumY.value) sample_id(user_name='ZR', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.sleep(2) yield from bps.mv(energy, 2800) yield from bps.sleep(10) def SAXS_Cl_edge(t=1): dets = [pil300KW, pil1M] name = '7_Le_13_Cl_saxs_solution' energies = [2810, 2820, 2826, 2827, 2829, 2832, 2850] #energies = [2470] det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_xbpm{xbpm}_wa{wa}' wa = [0.0, 6.5, 13.0] #y0 = piezo.y.position #ys = np.linspace(y0, y0+750, 6) for wax in wa: yield from bps.mv(waxs, wax) for k, e in enumerate(energies): yield from bps.mv(energy, e) #yield from bps.mv(piezo.y, yss) sample_name = name_fmt.format(sample=name, energy=e, xbpm = '%3.1f'%xbpm3.sumY.value, wa='%2.1f'%wax) sample_id(user_name='OS', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.mv(energy, 2810) #yield from bps.mvr(piezo.y, 150) for wax in wa: yield from bps.mv(waxs, wax) name_fmt = '{sample}_2810eV_postmeas_xbpm{xbpm}_wa{wa}' sample_name = name_fmt.format(sample=name, xbpm = '%3.1f'%xbpm3.sumY.value, wa='%2.1f'%wax) sample_id(user_name='OS', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) sample_id(user_name='test', sample_name='test') def NEXAFS_Br_edge(t=0.5): yield from bps.mv(waxs, 60) dets = [pil300KW] name = '1_Le_15_Br_nexafs_solution' #x = [8800] energies = np.linspace(13450, 13500, 51) #for name, x in zip(names, x): #bps.mv(piezo.x, x) det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_xbpm{xbpm}' for e in energies: yield from bps.mv(energy, e) sample_name = name_fmt.format(sample=name, energy=e, xbpm = '%3.1f'%xbpm3.sumY.value) sample_id(user_name='ZR', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.sleep(2) yield from bps.mv(energy, 13450) yield from bps.sleep(10) def SAXS_Br_edge(t=1): dets = [pil300KW, pil1M] name = '5_Le_15_Br_saxs' energies = [13450, 13465, 13469, 13471, 13478,13500] #energies = [13450] det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_xbpm{xbpm}_wa{wa}' wa = [0.0, 6.5, 13.0] #y0 = piezo.y.position #ys = np.linspace(y0, y0+750, 6) for wax in wa: yield from bps.mv(waxs, wax) for k, e in enumerate(energies): yield from bps.mv(energy, e) #yield from bps.mv(piezo.y, yss) sample_name = name_fmt.format(sample=name, energy=e, xbpm = '%3.1f'%xbpm3.sumY.value, wa='%2.1f'%wax) sample_id(user_name='OS', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.mv(energy, 13450) #yield from bps.mvr(piezo.y, 150) for wax in wa: yield from bps.mv(waxs, wax) name_fmt = '{sample}_13450eV_postmeas_xbpm{xbpm}_wa{wa}' sample_name = name_fmt.format(sample=name, xbpm = '%3.1f'%xbpm3.sumY.value, wa='%2.1f'%wax) sample_id(user_name='OS', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) sample_id(user_name='test', sample_name='test') def SAXS_s_edge(t=1): dets = [pil300KW] name = '17_Phil_pk61_buffer_saxs' energies = [2470, 2477, 2480, 2482, 2484, 2500] #energies = [2470] det_exposure_time(t,t) name_fmt = '{sample}_{energy}eV_xbpm{xbpm}_wa{wa}' wa = [0.0, 6.5, 13.0, 19.5] yield from bps.mv(GV7.close_cmd, 1 ) yield from bps.sleep(1) yield from bps.mv(GV7.close_cmd, 1 ) y0 = piezo.y.position ys = np.linspace(y0, y0+750, 6) for wax in wa: yield from bps.mv(waxs, wax) for k, (e, yss) in enumerate(zip(energies, ys)): yield from bps.mv(energy, e) yield from bps.mv(piezo.y, yss) sample_name = name_fmt.format(sample=name, energy=e, xbpm = '%3.1f'%xbpm3.sumY.value, wa='%2.1f'%wax) sample_id(user_name='OS', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) yield from bps.mv(energy, 2470) yield from bps.mvr(piezo.y, 150) for wax in wa: yield from bps.mv(waxs, wax) name_fmt = '{sample}_2470eV_postmeas_xbpm{xbpm}_wa{wa}' sample_name = name_fmt.format(sample=name, xbpm = '%3.1f'%xbpm3.sumY.value, wa='%2.1f'%wax) sample_id(user_name='OS', sample_name=sample_name) print(f'\n\t=== Sample: {sample_name} ===\n') yield from bp.count(dets, num=1) sample_id(user_name='test', sample_name='test')

32.497512

113

0.579302

1,011

6,532

3.582591

0.111771

0.132523

0.119271

0.100497

0.924627

0.911375

0.893705

0.844009

0.829652

0.818056

0

0.073653

0.272505

6,532

200

114

32.66

0.688552

0.069351

0

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1

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false

0

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0.070866

0

null

0

1

0

1

0

null

0

7

bf47f369b8016bd5423f01e32952ddfca4d3b6b5

2,413

py

Python

tests/test_middleware.py

lastfm/djangohmac

db2c34315fe732e211f4bd9f28dc78b366a92e8a

[ "Unlicense" ]

1

2018-07-16T18:47:34.000Z

tests/test_middleware.py

lastfm/djangohmac

db2c34315fe732e211f4bd9f28dc78b366a92e8a

[ "Unlicense" ]

14

2015-09-15T11:52:44.000Z

2020-01-03T10:09:11.000Z

tests/test_middleware.py

lastfm/djangohmac

db2c34315fe732e211f4bd9f28dc78b366a92e8a

[ "Unlicense" ]

4

2016-08-04T14:56:16.000Z

2019-12-17T17:02:26.000Z

# Third Party Libs from django.core.exceptions import PermissionDenied from django.test import RequestFactory, TestCase # First Party Libs from djangohmac.middleware import HmacMiddleware from djangohmac.sign import Hmac class SingleHmacMiddlewareTestCase(TestCase): def setUp(self): self.hmacmiddleware = HmacMiddleware() self.factory = RequestFactory() self.hmac = Hmac() def test_raise_exception_when_signature_is_not_send(self): request = self.factory.get('/example',) with self.assertRaises(PermissionDenied): self.hmacmiddleware.process_request(request) def test_should_be_ok_when_correct_hmac_is_send(self): signature = self.hmac.make_hmac() request = self.factory.get('/example', **{'HTTP_' + self.hmac.header.upper(): signature}) self.hmacmiddleware.process_request(request) def test_raise_exception_when_invalid_hmac_is_send(self): request = self.factory.get('/example', **{'HTTP_' + self.hmac.header.upper(): '00'}) with self.assertRaises(PermissionDenied): self.hmacmiddleware.process_request(request) class MultipleHmacMiddlewareTestCase(TestCase): def setUp(self): self.hmacmiddleware = HmacMiddleware() self.factory = RequestFactory() self.hmac = Hmac() def test_raise_exception_when_signature_is_not_send(self): request = self.factory.get('/example',) with self.assertRaises(PermissionDenied): self.hmacmiddleware.process_request(request) def test_should_be_ok_when_correct_hmac_is_send(self): signature = self.hmac.make_hmac_for('serviceA') request = self.factory.get('/example', **{'HTTP_' + self.hmac.header.upper(): signature}) self.hmacmiddleware.process_request(request) def test_raise_exception_when_signature_changed(self): signature = self.hmac.make_hmac_for('serviceA', 'some data') request = self.factory.get('/example', **{'HTTP_' + self.hmac.header.upper(): signature}) with self.assertRaises(PermissionDenied): self.hmacmiddleware.process_request(request) def test_raise_exception_when_invalid_hmac_is_send(self): request = self.factory.get('/example', **{'HTTP_' + self.hmac.header.upper(): '00'}) with self.assertRaises(PermissionDenied): self.hmacmiddleware.process_request(request)

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44a1150962bf0c8e692a2981d8fb22b1f73ec319

26,268

py

Python

source/test_everything.py

jaesikchoi/gpss-research

2a64958a018f1668f7b8eedf33c4076a63af7868

[ "MIT" ]

151

2015-01-09T19:25:05.000Z

2022-01-05T02:05:52.000Z

source/test_everything.py

jaesikchoi/gpss-research

2a64958a018f1668f7b8eedf33c4076a63af7868

[ "MIT" ]

1

2016-08-04T13:12:51.000Z

source/test_everything.py

jaesikchoi/gpss-research

2a64958a018f1668f7b8eedf33c4076a63af7868

[ "MIT" ]

59

2015-02-04T19:13:58.000Z

2021-07-28T23:36:09.000Z

import unittest import numpy as np import experiment import flexible_function as ff import grammar #import translation class ff_testcase(unittest.TestCase): def test_noise_kernel(self): k = ff.NoiseKernel() print '\n', k.pretty_print(), '\n' print '\n', k.syntax, '\n' print '\n', k, '\n' print '\n', k.get_gpml_expression(dimensions=3), '\n' k.initialise_params(data_shape = {'y_sd' : 0}) print '\n', k, '\n' k = k.copy() print '\n', k, '\n' assert k == k.copy() k.load_param_vector(k.param_vector) print '\n', k, '\n' def test_sq_exp(self): k = ff.SqExpKernel() print '\n', k.pretty_print(), '\n' print '\n', k.syntax, '\n' print '\n', k, '\n' k.dimension = 1 print '\n', k.get_gpml_expression(dimensions=3), '\n' k.initialise_params(data_shape = {'y_sd' : 0, 'x_sd' : [0,2], 'x_min' : [-10,-100], 'x_max' : [10,100]}) print '\n', k, '\n' assert k == k.copy() k = k.copy() print '\n', k, '\n' assert k == k.copy() k.load_param_vector(k.param_vector) print '\n', k, '\n' def test_sum(self): k = ff.SqExpKernel() k1 = k.copy() k2 = k.copy() k = k1 + k2 print '\n', k.pretty_print(), '\n' print '\n', k.syntax, '\n' print '\n', k, '\n' k.operands[0].dimension = 0 k.operands[1].dimension = 1 print '\n', k.pretty_print(), '\n' print '\n', k.syntax, '\n' print '\n', k, '\n' print '\n', k.get_gpml_expression(dimensions=3), '\n' k.initialise_params(data_shape = {'y_sd' : 0, 'x_sd' : [0,2], 'x_min' : [-10,-100], 'x_max' : [10,100]}) print '\n', k, '\n' assert k == k.copy() k = k.copy() print '\n', k, '\n' assert k == k.copy() k.load_param_vector(k.param_vector) print '\n', k, '\n' k = k + k.copy() print '\n', k.pretty_print(), '\n' print '\n', k.syntax, '\n' print '\n', k, '\n' print '\n', k.pretty_print(), '\n' print '\n', k.syntax, '\n' print '\n', k, '\n' print '\n', k.get_gpml_expression(dimensions=3), '\n' k.initialise_params(data_shape = {'y_sd' : 0, 'x_sd' : [0,2], 'x_min' : [-10,-100], 'x_max' : [10,100]}) print '\n', k, '\n' assert k == k.copy() k = k.copy() print '\n', k, '\n' assert k == k.copy() k.load_param_vector(k.param_vector) print '\n', k, '\n' k.sf def test_prod(self): k = ff.SqExpKernel() k1 = k.copy() k2 = k.copy() k = k1 * k2 print '\n', k.pretty_print(), '\n' print '\n', k.syntax, '\n' print '\n', k, '\n' k.operands[0].dimension = 0 k.operands[1].dimension = 1 print '\n', k.pretty_print(), '\n' print '\n', k.syntax, '\n' print '\n', k, '\n' print '\n', k.get_gpml_expression(dimensions=3), '\n' k.initialise_params(data_shape = {'y_sd' : 0, 'x_sd' : [0,2], 'x_min' : [-10,-100], 'x_max' : [10,100]}) print '\n', k, '\n' assert k == k.copy() k = k.copy() print '\n', k, '\n' assert k == k.copy() k.load_param_vector(k.param_vector) print '\n', k, '\n' k = k + k.copy() print '\n', k.pretty_print(), '\n' print '\n', k.syntax, '\n' print '\n', k, '\n' print '\n', k.pretty_print(), '\n' print '\n', k.syntax, '\n' print '\n', k, '\n' print '\n', k.get_gpml_expression(dimensions=3), '\n' k.initialise_params(data_shape = {'y_sd' : 0, 'x_sd' : [0,2], 'x_min' : [-10,-100], 'x_max' : [10,100]}) print '\n', k, '\n' assert k == k.copy() k = k.copy() print '\n', k, '\n' assert k == k.copy() k.load_param_vector(k.param_vector) print '\n', k, '\n' k.sf def test_model(self): print 'model' m = ff.MeanZero() k = ff.SqExpKernel() l = ff.LikGauss() regression_model = ff.GPModel(mean=m, kernel=k, likelihood=l, nll=0, ndata=100) print '\n', regression_model.pretty_print(), '\n' print '\n', regression_model.__repr__(), '\n' print regression_model.bic print regression_model.aic print regression_model.pl2 print ff.GPModel.score(regression_model, criterion='nll') def test_base(self): kernels = ff.base_kernels_without_dimension('SE,Const,Noise') for k in kernels: print '\n', k.pretty_print(), '\n' kernels = ff.base_kernels(3, 'SE,Const,Noise') for k in kernels: print '\n', k.pretty_print(), '\n' def test_repr(self): m = ff.MeanZero() k = ff.SqExpKernel() l = ff.LikGauss() regression_model = ff.GPModel(mean=m, kernel=k, likelihood=l) print regression_model print ff.repr_to_model(regression_model.__repr__()) assert regression_model == ff.repr_to_model(regression_model.__repr__()) def test_collapse_add_idempotent(self): k = ff.SqExpKernel() k1 = k.copy() k2 = k.copy() k = ff.NoiseKernel(sf=-1) k3 = k.copy() k4 = k.copy() k = ff.ConstKernel(sf=1) k5 = k.copy() k6 = k.copy() k = k1 + k2 + k3 + k4 + k5 + k6 print '\n', k.pretty_print(), '\n' k = k.collapse_additive_idempotency() print '\n', k.pretty_print(), '\n' def test_collapse_mult_idempotent(self): k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k1 = k.copy() k2 = k.copy() k = k1 * k2 print '\n', k.pretty_print(), '\n' k = k.collapse_multiplicative_idempotency() assert (isinstance(k, ff.SqExpKernel)) and (k.dimension == 0) print '\n', k.pretty_print(), '\n' k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k1 = k.copy() k2 = k.copy() k = ff.SqExpKernel(dimension=1, lengthscale=2, sf=2) k3 = k.copy() k4 = k.copy() k5 = ff.NoiseKernel(sf=-1) k6 = ff.ConstKernel(sf=1) k = k1 * k2 * k3 * k4 * k5 * k5.copy() + k6 + k6.copy() print '\n', k.pretty_print(), '\n' k = k.collapse_multiplicative_idempotency() print '\n', k.pretty_print(), '\n' k = k1 * k2 * k3 * k4 * k5 * k5.copy() * k6 * k6.copy() print '\n', k.pretty_print(), '\n' k = k.collapse_multiplicative_idempotency() print '\n', k.pretty_print(), '\n' def test_collapse_zero(self): k1 = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k2 = ff.NoiseKernel(sf=-1) k = k1 * k2 print '\n', k.pretty_print(), '\n' k = k.collapse_multiplicative_zero() assert isinstance(k, ff.NoiseKernel) print '\n', k.pretty_print(), '\n' k = (k1 + k1.copy() + k1.copy() * k2.copy()) * k2 print (k1 + k1.copy()).sf print (k1.copy() * k2.copy()).sf print (k1 + k1.copy() + k1.copy() * k2.copy()).sf print k.sf print '\n', k.pretty_print(), '\n' k = k.collapse_multiplicative_zero() assert isinstance(k, ff.NoiseKernel) print '\n', k.pretty_print(), '\n' def test_collapse_identity(self): print 'collapse identity' k1 = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k2 = ff.ConstKernel(sf=-1) k = k1 * k2 print '\n', k.pretty_print(), '\n' k = k.collapse_multiplicative_identity() assert isinstance(k, ff.SqExpKernel) print '\n', k.pretty_print(), '\n' k1 = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k = (k1 + k1.copy() + k1.copy() * k2.copy()) * k2 print (k1 + k1.copy()).sf print (k1.copy() * k2.copy()).sf print (k1 + k1.copy() + k1.copy() * k2.copy()).sf print k.sf print '\n', k.pretty_print(), '\n' k = k.collapse_multiplicative_identity() print '\n', k.pretty_print(), '\n' def test_simplified_k(self): print 'simplified_k' k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k1 = k.copy() k2 = k.copy() k = k1 * k2 k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k1 = k.copy() k2 = k.copy() k = ff.SqExpKernel(dimension=1, lengthscale=2, sf=2) k3 = k.copy() k4 = k.copy() k5 = ff.NoiseKernel(sf=-1) k6 = ff.ConstKernel(sf=1) k = k1 * k2 * k3 * k4 * k5 * k5.copy() + k6 + k6.copy() + k1.copy() * k1.copy() * k3.copy() print '\n', k.pretty_print(), '\n' k = k.simplified() print '\n', k.pretty_print(), '\n' def test_distribute_products_k(self): print 'distribute' k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k1 = k.copy() k2 = k.copy() k = ff.SqExpKernel(dimension=1, lengthscale=2, sf=2) k3 = k.copy() k4 = k.copy() k5 = ff.NoiseKernel(sf=-1) k6 = ff.ConstKernel(sf=1) k = (k1 + k2 + k3) * (k4 + k5) print '\n', k.pretty_print(), '\n' components = k.distribute_products().simplified() print components print components.collapse_additive_idempotency() for k in components.operands: print '\n', k.pretty_print(), '\n' k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k1 = k.copy() k2 = k.copy() k = ff.SqExpKernel(dimension=1, lengthscale=2, sf=2) k3 = k.copy() k4 = k.copy() k5 = ff.NoiseKernel(sf=-1) k6 = ff.ConstKernel(sf=1) k = (k1 * (k2 + k3)) + (k4 * k5) print '\n', k.pretty_print(), '\n' components = k.distribute_products().simplified() print components print components.collapse_additive_idempotency() for k in components.operands: print '\n', k.pretty_print(), '\n' def test_jitter(self): print 'jitter' k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k1 = k.copy() k2 = k.copy() print [k,k1,k2] assert (k == k1) and (k == k2) and (k1 == k2) ff.add_jitter_k([k1, k2]) assert (not k == k1) and (not k == k2) and (not k1 == k2) print [k,k1,k2] def test_jitter_model(self): print 'jitter model' k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k1 = k.copy() k2 = k.copy() print [k,k1,k2] assert (k == k1) and (k == k2) and (k1 == k2) m1 = ff.GPModel(kernel=k1) m2 = ff.GPModel(kernel=k2) ff.add_jitter([m1, m2]) assert (not k == k1) and (not k == k2) and (not k1 == k2) print [k,k1,k2] def test_restarts(self): print 'restart' data_shape = {'y_sd' : 0, 'x_sd' : [0,2], 'x_min' : [-10,-100], 'x_max' : [10,100]} k = ff.SqExpKernel(dimension=0) k1 = k.copy() k2 = k.copy() print [k,k1,k2] assert (k == k1) and (k == k2) and (k1 == k2) kernel_list = ff.add_random_restarts_k([k1, k2], data_shape=data_shape, sd=1) k1 = kernel_list[0] k2 = kernel_list[1] assert (not k == k1) and (not k == k2) and (not k1 == k2) print [k,k1,k2] def test_restarts_model(self): print 'restart model' data_shape = {'y_sd' : 0, 'x_sd' : [0,2], 'x_min' : [-10,-100], 'x_max' : [10,100]} k = ff.SqExpKernel(dimension=0) k1 = k.copy() k2 = k.copy() print [k,k1,k2] assert (k == k1) and (k == k2) and (k1 == k2) m1 = ff.GPModel(kernel=k1) m2 = ff.GPModel(kernel=k2) model_list = ff.add_random_restarts([m1, m2], n_rand=1, data_shape=data_shape, sd=1) k1 = model_list[0].kernel k2 = model_list[1].kernel assert (not k == k1) and (not k == k2) and (not k1 == k2) print [k,k1,k2] def test_additive_form_k(self): print 'additive form' k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k1 = k.copy() k2 = k.copy() k = ff.SqExpKernel(dimension=1, lengthscale=2, sf=2) k3 = k.copy() k4 = k.copy() k5 = ff.NoiseKernel(sf=-1) k6 = ff.ConstKernel(sf=1) k = (k1 * (k2 + k3)) + (k4 * k5) print '\n', k.pretty_print(), '\n' components = k.additive_form().simplified() print components for k in components.operands: print '\n', k.pretty_print(), '\n' def test_canonical_k(self): print 'canonical_k form' k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k1 = k.copy() k2 = k.copy() k = ff.SqExpKernel(dimension=1, lengthscale=2, sf=2) k3 = k.copy() k4 = k.copy() k5 = ff.NoiseKernel(sf=-1) k6 = ff.ConstKernel(sf=1) k = k1 * k2 * k3 * k4 * k5 * k5.copy() + k6 + k6.copy() + k1.copy() * k1.copy() * k3.copy() print '\n', k.pretty_print(), '\n' print '\n', k.canonical().pretty_print(), '\n' def test_canonical_k_2(self): print 'canonical_k form 2' k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k1 = k.copy() k2 = ff.NoneKernel() k = ff.ChangePointKernel(operands=[k1,k2]) print '\n', k, '\n' k = k.canonical() print '\n', k, '\n' assert k == k1 k = ff.ChangePointKernel(operands=[ff.ChangePointKernel(operands=[k1,k2]),k2]) print '\n', k, '\n' k = k.canonical() print '\n', k, '\n' assert k == k1 def test_hash_and_cmp(self): k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k1 = k.copy() k2 = k.copy() k3 = ff.SqExpKernel(dimension=1, lengthscale=0, sf=1) assert sorted(list(set([k1,k2,k3]))) == sorted([k1,k3]) k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=1) k4 = k.copy() k5 = ff.NoneKernel() k6 = ff.ChangePointKernel(operands=[k4,k5]) k7 = ff.ChangePointKernel(operands=[ff.ChangePointKernel(operands=[k4,k5]),k1]) assert sorted([k1,k2,k3,k4,k5,k6,k7]) == sorted([k7,k1,k6,k2,k5,k3,k4]) assert sorted(k.canonical() for k in [k1,k2,k3,k4,k5,k6,k7]) == sorted(k.canonical() for k in [k7,k1,k6,k2,k5,k3,k4]) assert sorted(k.additive_form() for k in [k1,k2,k3,k4,k5,k6,k7]) == sorted(k.additive_form() for k in [k7,k1,k6,k2,k5,k3,k4]) class grammar_testcase(unittest.TestCase): def test_expand(self): print 'expand' print '1d' k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=0) expanded = grammar.expand_kernels(1, [k], base_kernels='SE', rules=None) for k in expanded: print '\n', k.pretty_print(), '\n' print '2d' k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=0) expanded = grammar.expand_kernels(2, [k], base_kernels='SE', rules=None) for k in expanded: print '\n', k.pretty_print(), '\n' print '3d' k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=0) expanded = grammar.expand_kernels(3, [k], base_kernels='SE', rules=None) for k in expanded: print '\n', k.pretty_print(), '\n' print '3d with two SEs' k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=0) expanded = grammar.expand_kernels(3, [k + k.copy()], base_kernels='SE', rules=None) for k in expanded: print '\n', k.pretty_print(), '\n' def test_expand_model(self): print 'expand model' print '2d' k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=0) m = ff.GPModel(mean=ff.MeanZero(), kernel=k, likelihood=ff.LikGauss()) expanded = grammar.expand_models(2, [m], base_kernels='SE', rules=None) for k in expanded: print '\n', k.pretty_print(), '\n' class experiment_testcase(unittest.TestCase): def test_nan_score(self): k = ff.SqExpKernel(dimension=0, lengthscale=0, sf=0) m1 = ff.GPModel(kernel=k, nll=np.nan, ndata=100) m2 = ff.GPModel(kernel=k.copy(), nll=0, ndata=100) (not_nan, eq_nan) = experiment.remove_nan_scored_models([m1,m2], score='bic') assert (len(not_nan) == 1) and (len(eq_nan) == 1) class misc_testcase(unittest.TestCase): def test_3_operands_to_binary(self): assert len(ff.ChangePointKernel(operands=[ff.ConstKernel(), ff.ChangePointKernel(operands=[ff.ConstKernel(), ff.ConstKernel()])]).canonical().operands) == 2 def test_simplify(self): m = ff.GPModel(mean=ff.MeanZero(), kernel=ff.SumKernel(operands=[ff.ProductKernel(operands=[ff.ConstKernel(sf=0.170186999131), ff.SqExpKernel(dimension=0, lengthscale=1.02215322228, sf=5.9042619611)]), ff.ProductKernel(operands=[ff.NoiseKernel(sf=2.43188502201), ff.ConstKernel(sf=-0.368638271154)]), ff.ProductKernel(operands=[ff.NoiseKernel(sf=1.47110516981), ff.PeriodicKernel(dimension=0, lengthscale=-1.19651800365, period=0.550394248167, sf=0.131044872864)]), ff.ProductKernel(operands=[ff.SqExpKernel(dimension=0, lengthscale=3.33346140605, sf=3.7579461353), ff.PeriodicKernel(dimension=0, lengthscale=0.669624964607, period=0.00216264543496, sf=2.41995024965)])]), likelihood=ff.LikGauss(sf=-np.inf), nll=599.59757993, ndata=144) assert not m.simplified() == m m = ff.GPModel(mean=ff.MeanZero(), kernel=ff.SumKernel(operands=[ff.ProductKernel(operands=[ff.ConstKernel(sf=0.170186999131), ff.SqExpKernel(dimension=0, lengthscale=1.02215322228, sf=5.9042619611)]), ff.ProductKernel(operands=[ff.NoiseKernel(sf=2.43188502201), ff.ConstKernel(sf=-0.368638271154)])]), likelihood=ff.LikGauss(sf=-np.inf), nll=599.59757993, ndata=144) assert not m.simplified() == m def test_param_loading(self): k = ff.ChangePointKernel(dimension=0, location=0, steepness=0, operands=[ff.ConstKernel(sf=0), ff.ConstKernel(sf=0)]) param_vector = [1,1,1,1] k.load_param_vector(param_vector) assert np.all(k.param_vector == param_vector) param_vector = [0,0,0,0] assert not np.any(k.param_vector == param_vector) # def test_wrong_dimension(self): # try: # k = fk.MaskKernelFamily(1,1,fk.SqExpKernelFamily()) # except: # pass # else: # raise RuntimeError('I gave a mask kernel inconsistent number of dimensions and active dimension') # #def test_none_dimensions(self): # # k = fk.MaskKernelFamily(None,None,fk.SqExpKernelFamily()) # def test_addition(self): # k = fk.SqExpKernelFamily().default() + fk.SqExpKernelFamily().default() # assert isinstance(k, fk.SumKernel) # def test_creation(self): # # Check that both of these ways of creating a kernel work # k = fk.SqExpKernelFamily().default() # k = fk.SqExpKernelFamily.default() # def test_addition_2(self): # k = fk.SqExpKernelFamily().default() + fk.SqExpKernelFamily().default() # k = k + k.copy() # assert isinstance(k, fk.SumKernel) and (not isinstance(k.operands[0], fk.SumKernel)) # def test_multiplication(self): # k = fk.SqExpKernelFamily().default() * fk.SqExpKernelFamily().default() # assert isinstance(k, fk.ProductKernel) # def test_addition_2(self): # k = fk.SqExpKernelFamily().default() * fk.SqExpKernelFamily().default() # k = k * k.copy() # assert isinstance(k, fk.ProductKernel) and (not isinstance(k.operands[0], fk.ProductKernel)) # def test_defaults(self): # k = fk.SqExpKernelFamily() # dummy = fk.ChangePointTanhKernelFamily(operands=[k,k]).default() # dummy = fk.ChangeBurstTanhKernelFamily(operands=[k,k]).default() # dummy = (k.default() + k.default()).family().default() # dummy = (k.default() * k.default()).family().default() # def test_default_family_default(self): # k = fk.SqExpKernelFamily() # assert (k.default() * k.default()).family().default() == (k.default() * k.default()) # class experiment_testcase(unittest.TestCase): # def test_nan_score(self): # k1 = fk.ScoredKernel(fk.SqExpKernelFamily.default()) # k2 = fk.ScoredKernel(fk.SqExpKernelFamily.default(), bic_nle=0) # (not_nan, eq_nan) = experiment.remove_nan_scored_kernels([k1,k2], score='bic') # assert (len(not_nan) == 1) and (len(eq_nan) == 1) # class grammar_testcase(unittest.TestCase): # def test_type_match(self): # g = grammar.MultiDGrammar(ndim=2) # k = fk.MaskKernel(2,0,fk.SqExpKernelFamily.default()) # assert g.type_matches(k, 'multi') # k = fk.MaskKernel(2,0,fk.FourierKernelFamily.default()) # assert g.type_matches(k, 'multi') # k = k + k.copy() # assert g.type_matches(k, 'multi') # k = k * k.copy() # assert g.type_matches(k, 'multi') # k = fk.MaskKernel(2,0,fk.SqExpKernelFamily.default()).family() # k = fk.ChangePointTanhKernelFamily(operands=[k,k]).default() # assert g.type_matches(k, 'multi') # k = fk.MaskKernel(2,0,fk.SqExpKernelFamily.default()).family() # k = fk.ChangeBurstTanhKernelFamily(operands=[k,k]).default() # assert g.type_matches(k, 'multi') # class translation_testcase(unittest.TestCase): # def test_SE(self): # k = fk.SqExpKernelFamily().default() # sentences = translation.translate_additive_component(k, np.array([-1,0,1]), monotonic=0, gradient=0, unit='year') # def test_SE_metres(self): # k = fk.SqExpKernelFamily().default() # sentences = translation.translate_additive_component(k, np.array([-1,0,1]), monotonic=0, gradient=0, unit='metre') # def test_SE_number(self): # k = fk.SqExpKernelFamily().default() # sentences = translation.translate_additive_component(k, np.array([-1,0,1]), monotonic=0, gradient=0, unit='number') # def test_SE_no_unit(self): # k = fk.SqExpKernelFamily().default() # sentences = translation.translate_additive_component(k, np.array([-1,0,1]), monotonic=0, gradient=0, unit='') # def test_BroadSE(self): # k = fk.SqExpKernelFamily().default() # sentences = translation.translate_additive_component(k, np.array([0,0.5]), monotonic=0, gradient=0, unit='year') # def test_poly(self): # k = fk.LinKernelFamily().default() * fk.LinKernelFamily().default() * fk.LinKernelFamily().default() # sentences = translation.translate_additive_component(k, np.array([0,0.5]), monotonic=0, gradient=0, unit='year') # def test_SEpolydecrease(self): # k = fk.SqExpKernelFamily().default() * fk.LinKernelFamily().default() # sentences = translation.translate_additive_component(k, np.array([0.2,0.5]), monotonic=0, gradient=0, unit='year') # def test_complicated(self): # k = fk.SqExpKernelFamily().default() * fk.CentredPeriodicKernelFamily().default() * fk.CosineKernelFamily().default() * fk.CosineKernelFamily().default() * fk.LinKernelFamily().default() * fk.LinKernelFamily().default() # op = [fk.ZeroKernel(), k] # k = fk.ChangePointTanhKernel(location = 1.5, steepness=2, operands=op) # op = [k, fk.ZeroKernel()] # k = fk.ChangePointTanhKernel(location = 1.8, steepness=2, operands=op) # sentences = translation.translate_additive_component(k, np.array([1,2]), monotonic=0, gradient=0, unit='year') # def test_IMT3(self): # k = fk.IMT3LinKernelFamily().default() # sentences = translation.translate_additive_component(k, np.array([1,2]), monotonic=0, gradient=0, unit='year') # def test_Const(self): # k = fk.ConstKernelFamily().default() # sentences = translation.translate_additive_component(k, np.array([1,2]), monotonic=0, gradient=0, unit='year') # def test_ConstSE(self): # k = fk.ConstKernelFamily().default() * fk.SqExpKernelFamily().default() # sentences = translation.translate_additive_component(k, np.array([1,2]), monotonic=0, gradient=0, unit='year') # def test_Window(self): # k = fk.SqExpKernelFamily().default() # op = [k, fk.ZeroKernel()] # k = fk.ChangeBurstTanhKernel(location = 1.5, steepness=2, width=np.log(0.2), operands=op) # sentences = translation.translate_additive_component(k, np.array([1,2]), monotonic=0, gradient=0, unit='year') # def test_cos(self): # k = fk.CosineKernelFamily().default() # sentences = translation.translate_additive_component(k, np.array([1,2]), monotonic=0, gradient=0, unit='year') # def test_Window2(self): # k = fk.SqExpKernelFamily().default() # op = [fk.ZeroKernel(), k] # k = fk.ChangeBurstTanhKernel(location = 1.5, steepness=2, width=np.log(0.2), operands=op) # sentences = translation.translate_additive_component(k, np.array([1,2]), monotonic=0, gradient=0, unit='year') # def test_IMT3Complicated(self): # k = fk.SqExpKernelFamily().default() * fk.CentredPeriodicKernelFamily().default() * fk.CosineKernelFamily().default() * fk.CosineKernelFamily().default() * fk.LinKernelFamily().default() * fk.IMT3LinKernelFamily().default() # op = [fk.ZeroKernel(), k] # k = fk.ChangePointTanhKernel(location = 1.5, steepness=2, operands=op) # op = [k, fk.ZeroKernel()] # k = fk.ChangePointTanhKernel(location = 1.8, steepness=2, operands=op) # sentences = translation.translate_additive_component(k, np.array([1,2]), monotonic=0, gradient=0, unit='year') # def test_error_1(self): # k = fk.MaskKernelFamily(1,0,fk.SqExpKernelFamily()) # try: # sentences = translation.translate_additive_component(k, np.array([-1,0,1]), monotonic=0, gradient=0, unit='year') # except: # pass # else: # raise RuntimeError('I should not be able to describe a mask kernel on its own') if __name__ == "__main__": unittest.main()

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7

780cf56ce02f1a51585e0c3e4af291c4a2120b3a

237

py

Python

headless/__init__.py

gbrucepayne/headless

cd1729f9a4ff4f2cc5499d486f4df402df9f45e9

[ "MIT" ]

null

headless/__init__.py

gbrucepayne/headless

cd1729f9a4ff4f2cc5499d486f4df402df9f45e9

[ "MIT" ]

null

headless/__init__.py

gbrucepayne/headless

cd1729f9a4ff4f2cc5499d486f4df402df9f45e9

[ "MIT" ]

null

from headless import RepeatingTimer from headless import is_logger, is_log_handler, get_caller_name, get_wrapping_logger from headless import get_serial_ports, validate_serial_port from headless import get_net_interfaces, get_ip_address

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780dfc6d923ee69137f9515095e6c796fbe5a5e5

9,588

py

Python

pizza_cutter/des_pizza_cutter/tests/test_se_image_psf.py

beckermr/pizza-cutter

04eefd2d4b2a63975fe809c60b5c8e7e3fcf26c6

[ "BSD-3-Clause" ]

null

pizza_cutter/des_pizza_cutter/tests/test_se_image_psf.py

beckermr/pizza-cutter

04eefd2d4b2a63975fe809c60b5c8e7e3fcf26c6

[ "BSD-3-Clause" ]

194

2018-10-24T23:40:47.000Z

2021-11-17T16:02:35.000Z

pizza_cutter/des_pizza_cutter/tests/test_se_image_psf.py

beckermr/pizza-cutter

04eefd2d4b2a63975fe809c60b5c8e7e3fcf26c6

[ "BSD-3-Clause" ]

null

import os import numpy as np import pytest import galsim import piff from .._se_image import SEImageSlice, PIFF_STAMP_SIZE @pytest.mark.skipif( os.environ.get('TEST_DESDATA', None) is None, reason=( 'SEImageSlice can only be tested if ' 'test data is at TEST_DESDATA')) @pytest.mark.parametrize('x,y', [ (np.ones(10), 10), (np.ones((10, 10)), 10)]) def test_se_image_psf_array(se_image_data, x, y): se_im = SEImageSlice( source_info=se_image_data['source_info'], psf_model=None, wcs=se_image_data['eu_wcs'], wcs_position_offset=1, wcs_color=0, psf_kwargs=None, noise_seeds=[10], mask_tape_bumps=False, ) with pytest.raises(AssertionError): se_im.get_psf_image(x, y) with pytest.raises(AssertionError): se_im.get_psf_image(y, x) with pytest.raises(AssertionError): se_im.get_psf_image(x, y) with pytest.raises(AssertionError): se_im.get_psf_image(y, x) @pytest.mark.skipif( os.environ.get('TEST_DESDATA', None) is None, reason=( 'SEImageSlice can only be tested if ' 'test data is at TEST_DESDATA')) @pytest.mark.parametrize('wcs_pos_offset', [0, 1]) @pytest.mark.parametrize('eps_x', [ -0.75, -0.5, -0.25, 0.0, 0.25, 0.5, 0.75]) @pytest.mark.parametrize('eps_y', [ -0.75, -0.5, -0.25, 0.0, 0.25, 0.5, 0.75]) def test_se_image_psf_gsobject(se_image_data, eps_x, eps_y, wcs_pos_offset): x = 10 + eps_x y = 11 + eps_y dx = x - np.floor(x + 0.5) dy = y - np.floor(y + 0.5) se_im = SEImageSlice( source_info=se_image_data['source_info'], psf_model=galsim.Gaussian(fwhm=0.8), wcs=se_image_data['eu_wcs'], wcs_position_offset=wcs_pos_offset, wcs_color=0, psf_kwargs=None, noise_seeds=[10], mask_tape_bumps=False, ) psf_im = se_im.get_psf_image(x, y) cen = (psf_im.shape[0] - 1) / 2 # check mean (x, y) to make sure it is in the right spot _y, _x = np.mgrid[:psf_im.shape[0], :psf_im.shape[1]] xbar = np.mean((_x - cen) * psf_im) / np.mean(psf_im) ybar = np.mean((_y - cen) * psf_im) / np.mean(psf_im) assert np.abs(xbar - dx) < 1e-3, xbar assert np.abs(ybar - dy) < 1e-3, ybar true_psf_im = galsim.Gaussian(fwhm=0.8).drawImage( nx=19, ny=19, wcs=se_im.get_wcs_jacobian(x, y), offset=galsim.PositionD(x=dx, y=dy) ).array true_psf_im /= np.sum(true_psf_im) assert np.array_equal(psf_im, true_psf_im) @pytest.mark.skipif( os.environ.get('TEST_DESDATA', None) is None, reason=( 'SEImageSlice can only be tested if ' 'test data is at TEST_DESDATA')) @pytest.mark.parametrize('wcs_pos_offset', [0, 1]) @pytest.mark.parametrize('eps_x', [ -0.75, -0.5, -0.25, 0.0, 0.25, 0.5, 0.75]) @pytest.mark.parametrize('eps_y', [ -0.75, -0.5, -0.25, 0.0, 0.25, 0.5, 0.75]) @pytest.mark.parametrize('use_wcs', [False, True]) def test_se_image_psf_psfex( se_image_data, use_wcs, eps_x, eps_y, wcs_pos_offset): if use_wcs: psfex = galsim.des.DES_PSFEx( se_image_data['source_info']['psf_path'], se_image_data['source_info']['image_path'], ) else: psfex = galsim.des.DES_PSFEx( se_image_data['source_info']['psf_path']) x = 10 + eps_x y = 11 + eps_y dx = x - np.floor(x + 0.5) dy = y - np.floor(y + 0.5) se_im = SEImageSlice( source_info=se_image_data['source_info'], psf_model=psfex, wcs=se_image_data['eu_wcs'], wcs_position_offset=wcs_pos_offset, wcs_color=0, psf_kwargs=None, noise_seeds=[10], mask_tape_bumps=False, ) if use_wcs: wcs = se_im.get_wcs_jacobian(x, y) else: wcs = galsim.PixelScale(1.0) psf_im = se_im.get_psf_image(x, y) cen = (psf_im.shape[0] - 1) / 2 # check mean (x, y) to make sure it is not the center _y, _x = np.mgrid[:psf_im.shape[0], :psf_im.shape[1]] xbar = np.mean((_x - cen) * psf_im) / np.mean(psf_im) ybar = np.mean((_y - cen) * psf_im) / np.mean(psf_im) # PSFEx is not exactly centered, so the tolerance here is bigger assert np.abs(xbar - dx) < 1e-1, xbar assert np.abs(ybar - dy) < 1e-1, ybar psf = psfex.getPSF(galsim.PositionD( x=x+wcs_pos_offset, y=y+wcs_pos_offset)) true_psf_im = psf.drawImage( nx=psf_im.shape[0], ny=psf_im.shape[0], wcs=wcs, offset=galsim.PositionD(x=dx, y=dy), method='no_pixel', ).array true_psf_im /= np.sum(true_psf_im) assert np.array_equal(psf_im, true_psf_im) def get_center_delta(x): return x - np.floor(x+0.5) @pytest.mark.skipif( os.environ.get('TEST_DESDATA', None) is None, reason=( 'SEImageSlice can only be tested if ' 'test data is at TEST_DESDATA')) @pytest.mark.parametrize('wcs_pos_offset', [0, 1]) @pytest.mark.parametrize('eps_x', [ -0.75, -0.50, -0.25, 0.0, 0.25, 0.50, 0.75]) @pytest.mark.parametrize('eps_y', [ -0.75, -0.50, -0.25, 0.0, 0.25, 0.50, 0.75]) def test_se_image_psf_piff(se_image_data, eps_x, eps_y, wcs_pos_offset): x = 101 + eps_x y = 111 + eps_y dx = get_center_delta(x) dy = get_center_delta(y) psf_mod = piff.PSF.read(se_image_data['source_info']['piff_path']) se_im = SEImageSlice( source_info=se_image_data['source_info'], psf_model=psf_mod, wcs=se_image_data['eu_wcs'], wcs_position_offset=wcs_pos_offset, wcs_color=0, psf_kwargs={"GI_COLOR": 0.61}, noise_seeds=[10], mask_tape_bumps=False, ) psf_im_cen = se_im.get_psf_image(np.floor(x+0.5), np.floor(y+0.5)) _y, _x = np.mgrid[:psf_im_cen.shape[0], :psf_im_cen.shape[1]] xcen = np.mean(_x * psf_im_cen) / np.mean(psf_im_cen) ycen = np.mean(_y * psf_im_cen) / np.mean(psf_im_cen) # check mean (x, y) to make sure it is not the center psf_im = se_im.get_psf_image(x, y) _y, _x = np.mgrid[:psf_im.shape[0], :psf_im.shape[1]] xbar = np.mean((_x - xcen) * psf_im) / np.mean(psf_im) ybar = np.mean((_y - ycen) * psf_im) / np.mean(psf_im) # Piff is not exactly centered, so the tolerance here is bigger print("\ncenter offsets:", xbar, dx, ybar, dy) assert np.abs(xbar - dx) < 1e-1, 'x: %g xbar: %g dx: %g' % (x, xbar, dx) assert np.abs(ybar - dy) < 1e-1, 'y: %g ybar: %g dy: %g' % (y, ybar, dy) psf_mod = piff.PSF.read(se_image_data['source_info']['piff_path']) image = galsim.ImageD( PIFF_STAMP_SIZE, PIFF_STAMP_SIZE, wcs=se_im.get_wcs_jacobian(x, y), ) true_psf_im = psf_mod.draw( x=x+wcs_pos_offset, y=y+wcs_pos_offset, image=image, center=True, offset=(x - np.floor(x+0.5), y - np.floor(y+0.5)), GI_COLOR=0.61, chipnum=se_image_data["source_info"]["ccdnum"], ).array true_psf_im /= np.sum(true_psf_im) assert np.array_equal(psf_im, true_psf_im) @pytest.mark.skipif( os.environ.get('TEST_DESDATA', None) is None, reason=( 'SEImageSlice can only be tested if ' 'test data is at TEST_DESDATA')) @pytest.mark.parametrize('wcs_pos_offset', [1]) @pytest.mark.parametrize('eps_x', [-0.50]) @pytest.mark.parametrize('eps_y', [0.25]) def test_se_image_psf_piff_color(se_image_data, eps_x, eps_y, wcs_pos_offset): x = 10 + eps_x y = 11 + eps_y dx = get_center_delta(x) dy = get_center_delta(y) psf_mod = piff.PSF.read(se_image_data['source_info']['piff_path']) se_im = SEImageSlice( source_info=se_image_data['source_info'], psf_model=psf_mod, wcs=se_image_data['eu_wcs'], wcs_position_offset=wcs_pos_offset, wcs_color=0.7, psf_kwargs={"GI_COLOR": 0.61}, noise_seeds=[10], mask_tape_bumps=False, ) psf_im_cen = se_im.get_psf_image(np.floor(x+0.5), np.floor(y+0.5)) _y, _x = np.mgrid[:psf_im_cen.shape[0], :psf_im_cen.shape[1]] xcen = np.mean(_x * psf_im_cen) / np.mean(psf_im_cen) ycen = np.mean(_y * psf_im_cen) / np.mean(psf_im_cen) # check mean (x, y) to make sure it is not the center psf_im = se_im.get_psf_image(x, y) _y, _x = np.mgrid[:psf_im.shape[0], :psf_im.shape[1]] xbar = np.mean((_x - xcen) * psf_im) / np.mean(psf_im) ybar = np.mean((_y - ycen) * psf_im) / np.mean(psf_im) # Piff is not exactly centered, so the tolerance here is bigger assert np.abs(xbar - dx) < 1e-1, 'x: %g xbar: %g dx: %g' % (x, xbar, dx) assert np.abs(ybar - dy) < 1e-1, ybar psf_mod = piff.PSF.read(se_image_data['source_info']['piff_path']) image = galsim.ImageD( PIFF_STAMP_SIZE, PIFF_STAMP_SIZE, wcs=se_im.get_wcs_jacobian(x, y), ) true_psf_im = psf_mod.draw( x=x+wcs_pos_offset, y=y+wcs_pos_offset, image=image, center=True, offset=(x - np.floor(x+0.5), y - np.floor(y+0.5)), chipnum=se_image_data['source_info']['ccdnum'], GI_COLOR=0.61, ).array true_psf_im /= np.sum(true_psf_im) assert np.array_equal(psf_im, true_psf_im) # piff defaults to no color used for this test data not_true_psf_im = psf_mod.draw( x=x+wcs_pos_offset, y=y+wcs_pos_offset, stamp_size=psf_im.shape[0], chipnum=se_image_data['source_info']['ccdnum'], GI_COLOR=0.61, ).array not_true_psf_im /= np.sum(not_true_psf_im) assert not np.array_equal(psf_im, not_true_psf_im)

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null

0

7

784a4bf9e31b15d539e9f06faf8867c88f51d76c

1,396

py

Python

tessled/effects/argtypes.py

hodgestar/tesseract-control-software

41f47a4b901a0069f1745c90abe28f0778704b0e

[ "MIT" ]

2

2019-07-13T14:15:30.000Z

2020-01-04T10:44:47.000Z

tessled/effects/argtypes.py

hodgestar/tesseract-control-software

41f47a4b901a0069f1745c90abe28f0778704b0e

[ "MIT" ]

1

2018-04-11T17:29:04.000Z

earthstar/effects/argtypes.py

hodgestar/earthstar-control-software

52c02338ad21907a78d9814063d9845b0e64b91e

[ "MIT" ]

null

# -*- coding: utf-8 -*- """ Effect argument types. """ class StrArg(object): def __init__(self, allow_null=False): self._allow_null = allow_null def __call__(self, v): if self._allow_null and v is None: return None return str(v) class DictArg(object): def __init__(self, allow_null=False): self._allow_null = allow_null def __call__(self, v): if self._allow_null and v is None: return v assert isinstance(v, dict) return v class IntArg(object): def __init__(self, default, min=None, max=None): self._default = default self._min = min self._max = max def __call__(self, v): try: v = int(v) except Exception: return self._default if self._min is not None: v = max(v, self._min) if self._max is not None: v = min(v, self._max) return v class FloatArg(object): def __init__(self, default, min=None, max=None): self._default = default self._min = min self._max = max def __call__(self, v): try: v = float(v) except Exception: return self._default if self._min is not None: v = max(v, self._min) if self._max is not None: v = min(v, self._max) return v

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1,396

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0.8

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null

0

7

78580b41028e4ad94de4a7190414cfdf8ca4fedb

193

py

Python

src/Play.py

TestowanieAutomatyczneUG/laboratorium-9-melkorw

a1501911943af9acf1fa81f88f69054ca1475e06

[ "MIT" ]

null

src/Play.py

TestowanieAutomatyczneUG/laboratorium-9-melkorw

a1501911943af9acf1fa81f88f69054ca1475e06

[ "MIT" ]

null

src/Play.py

TestowanieAutomatyczneUG/laboratorium-9-melkorw

a1501911943af9acf1fa81f88f69054ca1475e06

[ "MIT" ]

null

class Play: def get_time(self): pass def play_wav_file(self, file): pass def wav_was_played(self, file): pass def reset_wav(self, file): pass

14.846154

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1

0

1

0

7

789bccda1b6a828cf65a61f0caa7e2e3f66cf804

2,738

py

Python

python_test/test_parser_addition.py

lubkoll/friendly-type-erasure

719830233a8652ccf18164653b466b0054a617f6

[ "MIT" ]

null

python_test/test_parser_addition.py

lubkoll/friendly-type-erasure

719830233a8652ccf18164653b466b0054a617f6

[ "MIT" ]

22

2016-08-03T16:51:10.000Z

2016-11-23T20:53:03.000Z

python_test/test_parser_addition.py

lubkoll/friendly-type-erasure

719830233a8652ccf18164653b466b0054a617f6

[ "MIT" ]

null

import unittest import type_erasure.parser_addition single_line_test_comments = ['/// comment', '//! comment', '// comment', ' \n\r\t/// comment'] multi_line_test_comments = [['/** comment */'], ['/* comment */'], ['/* comment', '*/'], ['/**', '* comment', '*/']] class TestIsComment(unittest.TestCase): def test_is_single_line_comment(self): for comment in single_line_test_comments: self.assertTrue(type_erasure.parser_addition.is_single_line_comment(comment)) for comment in multi_line_test_comments: for line in comment: self.assertFalse(type_erasure.parser_addition.is_single_line_comment(line)) def test_is_multi_line_comment(self): for comment in single_line_test_comments: self.assertFalse(type_erasure.parser_addition.is_multi_line_comment(comment, in_multi_line_comment=False)) self.assertFalse(type_erasure.parser_addition.is_multi_line_comment(comment, in_multi_line_comment=True)) for comment in multi_line_test_comments: for line in comment: if line is comment[0]: self.assertTrue(type_erasure.parser_addition.is_multi_line_comment(line, in_multi_line_comment=False)) self.assertFalse(type_erasure.parser_addition.is_multi_line_comment(line, in_multi_line_comment=True)) else: self.assertFalse(type_erasure.parser_addition.is_multi_line_comment(line, in_multi_line_comment=False)) self.assertTrue(type_erasure.parser_addition.is_multi_line_comment(line, in_multi_line_comment=True)) def test_is_comment(self): for comment in single_line_test_comments: self.assertTrue(type_erasure.parser_addition.is_comment(comment, in_multi_line_comment=False)) self.assertTrue(type_erasure.parser_addition.is_comment(comment, in_multi_line_comment=True)) for comment in multi_line_test_comments: for line in comment: if line is comment[0]: self.assertTrue(type_erasure.parser_addition.is_comment(line, in_multi_line_comment=False)) self.assertFalse(type_erasure.parser_addition.is_comment(line, in_multi_line_comment=True)) else: self.assertFalse(type_erasure.parser_addition.is_comment(line, in_multi_line_comment=False)) self.assertTrue(type_erasure.parser_addition.is_comment(line, in_multi_line_comment=True)) if __name__ == '__main__': unittest.main()

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null

0

1

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null

0

8

78a89808acceeaa265c6a8b54012d586f7dbf31e

4,304

py

Python

tests/test_pyros_schemas/__init__.py

pyros-dev/pyros-schemas

a460920260ee77a1b5b6d5c0b97df52f1572ff79

[ "MIT" ]

3

2018-01-01T17:10:16.000Z

2018-11-15T15:41:46.000Z

tests/test_pyros_schemas/__init__.py

pyros-dev/pyros-schemas

a460920260ee77a1b5b6d5c0b97df52f1572ff79

[ "MIT" ]

7

2018-02-02T10:05:55.000Z

2018-02-17T15:15:46.000Z

tests/test_pyros_schemas/__init__.py

pyros-dev/pyros-schemas

a460920260ee77a1b5b6d5c0b97df52f1572ff79

[ "MIT" ]

2

2017-09-27T09:46:31.000Z

2018-02-02T09:37:13.000Z

from __future__ import absolute_import, division, print_function, unicode_literals import os import site added_site_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'rosdeps') srvs_site_dir = os.path.join(os.path.dirname(os.path.dirname(__file__)), 'rosdeps', 'ros_comm_msgs') print("Adding site directory {0} to access std_msgs".format(added_site_dir)) site.addsitedir(added_site_dir) site.addsitedir(srvs_site_dir) import rosimport rosimport.activate() from . import msg as pyros_schemas_test_msgs # patching (need to know the field name) import pyros_msgs.opt_as_array pyros_msgs.opt_as_array.duck_punch(pyros_schemas_test_msgs.test_opt_bool_as_array, ['data']) pyros_msgs.opt_as_array.duck_punch(pyros_schemas_test_msgs.test_opt_int8_as_array, ['data']) pyros_msgs.opt_as_array.duck_punch(pyros_schemas_test_msgs.test_opt_int16_as_array, ['data']) pyros_msgs.opt_as_array.duck_punch(pyros_schemas_test_msgs.test_opt_int32_as_array, ['data']) pyros_msgs.opt_as_array.duck_punch(pyros_schemas_test_msgs.test_opt_int64_as_array, ['data']) pyros_msgs.opt_as_array.duck_punch(pyros_schemas_test_msgs.test_opt_uint8_as_array, ['data']) pyros_msgs.opt_as_array.duck_punch(pyros_schemas_test_msgs.test_opt_uint16_as_array, ['data']) pyros_msgs.opt_as_array.duck_punch(pyros_schemas_test_msgs.test_opt_uint32_as_array, ['data']) pyros_msgs.opt_as_array.duck_punch(pyros_schemas_test_msgs.test_opt_uint64_as_array, ['data']) pyros_msgs.opt_as_array.duck_punch(pyros_schemas_test_msgs.test_opt_float32_as_array, ['data']) pyros_msgs.opt_as_array.duck_punch(pyros_schemas_test_msgs.test_opt_float64_as_array, ['data']) pyros_msgs.opt_as_array.duck_punch(pyros_schemas_test_msgs.test_opt_string_as_array, ['data']) pyros_msgs.opt_as_array.duck_punch(pyros_schemas_test_msgs.test_opt_time_as_array, ['data']) pyros_msgs.opt_as_array.duck_punch(pyros_schemas_test_msgs.test_opt_duration_as_array, ['data']) import hypothesis import hypothesis.strategies as st import six six_long = six.integer_types[-1] def maybe_list(l): """Return list of one element if ``l`` is a scalar.""" return l if l is None or isinstance(l, list) else [l] from .strategies.ros import std_msgs_types_strat_ok, std_msgs_dicts_strat_ok from .strategies.ros import pyros_schemas_opttypes_strat_ok, pyros_schemas_dicts_strat_ok # # def proper_basic_msg_strategy_selector(*msg_types): # """Accept a (list of) rostype and return it with the matching strategy for ros message""" # # TODO : break on error (type not in map) # # we use a list comprehension here to avoid creating a generator (tuple comprehension) # return tuple([(msg_type, std_msgs_types_strat_ok.get(msg_type)) for msg_type in msg_types]) # # # def proper_basic_dict_strategy_selector(*msg_types): # """Accept a (list of) rostype and return it with the matching strategy for dict""" # # TODO : break on error (type not in map) # # we use a list comprehension here to avoid creating a generator (tuple comprehension) # return tuple([(msg_type, std_msgs_dicts_strat_ok.get(msg_type)) for msg_type in msg_types]) # def proper_basic_optmsg_strategy_selector(*msg_types): # """Accept a (list of) rostype and return it with the matching strategy for ros message""" # # TODO : break on error (type not in map) # # we use a list comprehension here to avoid creating a generator (tuple comprehension) # return tuple([(msg_type, pyros_schemas_opttypes_strat_ok.get(msg_type)) for msg_type in msg_types]) # # # def proper_basic_optdict_strategy_selector(*msg_types): # """Accept a (list of) rostype and return it with the matching strategy for dict""" # # TODO : break on error (type not in map) # # we use a list comprehension here to avoid creating a generator (tuple comprehension) # return tuple([(msg_type, pyros_schemas_dicts_strat_ok.get(msg_type)) for msg_type in msg_types]) # # # def proper_basic_optdata_strategy_selector(*field_types): # """Accept a (list of) rostype and return it with the matching strategy for data""" # # TODO : break on error (type not in map) # # we use a list comprehension here to avoid creating a generator (tuple comprehension) # return tuple([(field_type, optfield_strat_ok.get(field_type)) for field_type in field_types])

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null

0

1

0

null

0

1

0

1

0

7

1545279bcb5a12955234366bb5649f42d39382ee

1,440

py

Python

server/tasks/migrations/0002_auto_20180509_1601.py

akshlu/taskboard

ee18ea517321a95685c4c6e98ed7035627de425a

[ "MIT" ]

null

server/tasks/migrations/0002_auto_20180509_1601.py

akshlu/taskboard

ee18ea517321a95685c4c6e98ed7035627de425a

[ "MIT" ]

null

server/tasks/migrations/0002_auto_20180509_1601.py

akshlu/taskboard

ee18ea517321a95685c4c6e98ed7035627de425a

[ "MIT" ]

null

# Generated by Django 2.0.5 on 2018-05-09 16:01 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('tasks', '0001_initial'), ] operations = [ migrations.AddField( model_name='epic', name='description', field=models.TextField(default=''), ), migrations.AddField( model_name='epic', name='name', field=models.TextField(default='No Name'), ), migrations.AddField( model_name='project', name='description', field=models.TextField(default=''), ), migrations.AddField( model_name='project', name='name', field=models.TextField(default='No Name'), ), migrations.AddField( model_name='subtask', name='description', field=models.TextField(default=''), ), migrations.AddField( model_name='subtask', name='name', field=models.TextField(default='No Name'), ), migrations.AddField( model_name='task', name='description', field=models.TextField(default=''), ), migrations.AddField( model_name='task', name='name', field=models.TextField(default='No Name'), ), ]

26.666667

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0.356944

1,440

53

55

27.169811

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null

0

1

0

1

0

1

0

null

0

9

154efb0ce384cec38d429dc5beadc2c4f99a390f

144

py

Python

car/debug.py

jieguangzhou/spider

81f25fd19753f1a50b4e442b078fdc2dc31fda12

[ "MIT" ]

null

car/debug.py

jieguangzhou/spider

81f25fd19753f1a50b4e442b078fdc2dc31fda12

[ "MIT" ]

null

car/debug.py

jieguangzhou/spider

81f25fd19753f1a50b4e442b078fdc2dc31fda12

[ "MIT" ]

null

from scrapy import cmdline # cmdline.execute("scrapy crawl autohome_brand".split()) cmdline.execute("scrapy crawl autohome_car_config".split())

36

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0.805556

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5.947368

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0.442478

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144

4

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true

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null

0

1

0

1

0

7

15a431a689e584783d0ce411ed84956d9415a66a

7,749

py

Python

users/tests.py

wizath/django-cookiejwt

8a749f1e9b8e6ce1cf061aa28c2621606279aae3

[ "MIT" ]

null

users/tests.py

wizath/django-cookiejwt

8a749f1e9b8e6ce1cf061aa28c2621606279aae3

[ "MIT" ]

8

2020-02-12T00:05:43.000Z

2021-09-22T17:52:01.000Z

users/tests.py

wizath/django-cookiejwt

8a749f1e9b8e6ce1cf061aa28c2621606279aae3

[ "MIT" ]

null

import json import os from http import cookies import datetime from rest_framework import status from rest_framework.test import APITestCase from rest_framework_simplejwt.tokens import AccessToken, RefreshToken from rest_framework_simplejwt.settings import api_settings from users.authentication import CookieAccessTokenAuthentication from users.models import User class TestCookieTokenVerify(APITestCase): def setUp(self): user = User(username='testuser', email='test@test.com') user.set_password('testpassword') user.save() def test_cookie_token_verify(self): u = User.objects.first() token = AccessToken.for_user(u) token_cookie = cookies.SimpleCookie({'access_token': token}) self.client.cookies = token_cookie response = self.client.get('/api/token/verify') self.assertEqual(response.status_code, status.HTTP_200_OK) self.assertEqual(response.data['user_id'], u.id) def test_cookie_token_verify_wrong_token(self): token_cookie = cookies.SimpleCookie({'access_token': str(os.urandom(32))}) self.client.cookies = token_cookie response = self.client.get('/api/token/verify') self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_cookie_token_verify_no_cookie(self): response = self.client.get('/api/token/verify') self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) class TestCookieTokenObtain(APITestCase): def setUp(self): user = User(username='testuser', email='test@test.com') user.set_password('testpassword') user.save() def test_cookie_tokens_obtain_session(self): response = self.client.post('/api/token', json.dumps({ 'username': 'testuser', 'password': 'testpassword', 'remember': False }), content_type="application/json") raw_token = response.client.cookies['access_token'] # Morsel dict # {'expires': 'Mon, 18 Nov 2019 23:45:35 GMT', 'path': '/', 'comment': '', 'domain': '', 'max-age': 300, 'secure': '', 'httponly': True, 'version': '', 'samesite': ''} self.assertTrue(raw_token['httponly']) self.assertEqual(raw_token['expires'], '') raw_refresh = response.client.cookies['refresh_token'] self.assertTrue(raw_refresh['httponly']) self.assertEqual(raw_refresh['expires'], '') backend = CookieAccessTokenAuthentication() validated_token = backend.get_validated_token(raw_token.value) user = backend.get_user(validated_token) self.assertEqual(user.id, 1) def test_cookie_tokens_obtain_remember(self): response = self.client.post('/api/token', json.dumps({ 'username': 'testuser', 'password': 'testpassword', 'remember': True }), content_type="application/json") raw_token = response.client.cookies['access_token'] # Morsel dict # {'expires': 'Mon, 18 Nov 2019 23:45:35 GMT', 'path': '/', 'comment': '', 'domain': '', 'max-age': 300, 'secure': '', 'httponly': True, 'version': '', 'samesite': ''} self.assertTrue(raw_token['httponly']) dt = datetime.datetime.strptime(raw_token['expires'], "%a, %d %b %Y %H:%M:%S %Z") delta = dt - datetime.datetime.now() expire = datetime.timedelta(seconds=round(delta.seconds, -2)) self.assertEqual(expire, api_settings.ACCESS_TOKEN_LIFETIME) raw_refresh = response.client.cookies['refresh_token'] self.assertTrue(raw_refresh['httponly']) dt = datetime.datetime.strptime(raw_refresh['expires'], "%a, %d %b %Y %H:%M:%S %Z") delta = dt - datetime.datetime.now() expire = datetime.timedelta(seconds=round(delta.seconds, -2)) self.assertEqual(expire, api_settings.REFRESH_TOKEN_LIFETIME) backend = CookieAccessTokenAuthentication() validated_token = backend.get_validated_token(raw_token.value) user = backend.get_user(validated_token) self.assertEqual(user.id, 1) def test_cookie_tokens_obtain_wrong_password(self): response = self.client.post('/api/token', json.dumps({ 'username': 'testuser', 'password': 'wrongpassword', 'remember': False }), content_type="application/json") self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_cookie_tokens_obtain_no_exisiting_user(self): response = self.client.post('/api/token', json.dumps({ 'username': 'nonexistinguser', 'password': 'testpassword', 'remember': False }), content_type="application/json") self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_cookie_tokens_obtain_no_data(self): response = self.client.post('/api/token', content_type="application/json") self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_cookie_tokens_obtain_wrong_method(self): response = self.client.get('/api/token', content_type="application/json") self.assertEqual(response.status_code, status.HTTP_405_METHOD_NOT_ALLOWED) class TestCookieTokenRefresh(APITestCase): def setUp(self): user = User(username='testuser', email='test@test.com') user.set_password('testpassword') user.save() def test_token_refresh_endpoint_no_cookie(self): response = self.client.post('/api/token/refresh') self.assertEqual(response.status_code, status.HTTP_400_BAD_REQUEST) def test_token_refresh_endpoint_bad_refresh_cookie(self): token_cookie = cookies.SimpleCookie({'refresh_token': str(os.urandom(32))}) self.client.cookies = token_cookie response = self.client.post('/api/token/refresh') self.assertEqual(response.status_code, status.HTTP_401_UNAUTHORIZED) def test_cookie_token_refresh(self): u = User.objects.first() token = RefreshToken.for_user(u) token_cookie = cookies.SimpleCookie({'refresh_token': token}) self.client.cookies = token_cookie # verify status code response = self.client.post('/api/token/refresh') self.assertEqual(response.status_code, status.HTTP_200_OK) # verify token raw_token = response.client.cookies['access_token'] backend = CookieAccessTokenAuthentication() validated_token = backend.get_validated_token(raw_token.value) user = backend.get_user(validated_token) self.assertEqual(user.id, 1) self.assertTrue(raw_token['httponly']) dt = datetime.datetime.strptime(raw_token['expires'], "%a, %d %b %Y %H:%M:%S %Z") delta = dt - datetime.datetime.now() expire = datetime.timedelta(seconds=round(delta.seconds, -2)) self.assertEqual(expire, api_settings.ACCESS_TOKEN_LIFETIME) class TestCookieTokenClear(APITestCase): def setUp(self): user = User(username='testuser', email='test@test.com') user.set_password('testpassword') user.save() def test_token_refresh_endpoint_bad_refresh_cookie(self): token_cookie = cookies.SimpleCookie({'refresh_token': str(os.urandom(32))}) token_cookie = cookies.SimpleCookie({'access_token': str(os.urandom(32))}) self.client.cookies = token_cookie response = self.client.post('/api/token/clear') self.assertEqual(response.status_code, status.HTTP_200_OK) raw_access = response.client.cookies['access_token'] raw_refresh = response.client.cookies['refresh_token'] self.assertEqual(raw_access.value, "") self.assertEqual(raw_refresh.value, "")

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0.063068

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0

null

0

1

0

null

0

1

0

7

15b922a7548680b63fa816709a05c04219eba710

41

py

Python

src/__init__.py

Loggi-pro/prettier-size-printer

77ae84da60aeb1b803844f79e19c1ddca9836e46

[ "MIT" ]

null

src/__init__.py

Loggi-pro/prettier-size-printer

77ae84da60aeb1b803844f79e19c1ddca9836e46

[ "MIT" ]

null

src/__init__.py

Loggi-pro/prettier-size-printer

77ae84da60aeb1b803844f79e19c1ddca9836e46

[ "MIT" ]

null

from .size_printer import run, Arguments

20.5

40

0.829268

6

41

5.5

1

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1

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null

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1

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null

0

1

0

1

0

1

0

7

ec761a5514f7fce967741ac76031384c21c7b884

30,704

py

Python

sdk/python/pulumi_azure/core/template_deployment.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

109

2018-06-18T00:19:44.000Z

2022-02-20T05:32:57.000Z

sdk/python/pulumi_azure/core/template_deployment.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

663

2018-06-18T21:08:46.000Z

2022-03-31T20:10:11.000Z

sdk/python/pulumi_azure/core/template_deployment.py

henriktao/pulumi-azure

f1cbcf100b42b916da36d8fe28be3a159abaf022

[ "ECL-2.0", "Apache-2.0" ]

41

2018-07-19T22:37:38.000Z

2022-03-14T10:56:26.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['TemplateDeploymentArgs', 'TemplateDeployment'] @pulumi.input_type class TemplateDeploymentArgs: def __init__(__self__, *, deployment_mode: pulumi.Input[str], resource_group_name: pulumi.Input[str], name: Optional[pulumi.Input[str]] = None, parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, parameters_body: Optional[pulumi.Input[str]] = None, template_body: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a TemplateDeployment resource. :param pulumi.Input[str] deployment_mode: Specifies the mode that is used to deploy resources. This value could be either `Incremental` or `Complete`. Note that you will almost *always* want this to be set to `Incremental` otherwise the deployment will destroy all infrastructure not specified within the template, and this provider will not be aware of this. :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the template deployment. :param pulumi.Input[str] name: Specifies the name of the template deployment. Changing this forces a new resource to be created. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] parameters: Specifies the name and value pairs that define the deployment parameters for the template. :param pulumi.Input[str] parameters_body: Specifies a valid Azure JSON parameters file that define the deployment parameters. It can contain KeyVault references :param pulumi.Input[str] template_body: Specifies the JSON definition for the template. """ pulumi.set(__self__, "deployment_mode", deployment_mode) pulumi.set(__self__, "resource_group_name", resource_group_name) if name is not None: pulumi.set(__self__, "name", name) if parameters is not None: pulumi.set(__self__, "parameters", parameters) if parameters_body is not None: pulumi.set(__self__, "parameters_body", parameters_body) if template_body is not None: pulumi.set(__self__, "template_body", template_body) @property @pulumi.getter(name="deploymentMode") def deployment_mode(self) -> pulumi.Input[str]: """ Specifies the mode that is used to deploy resources. This value could be either `Incremental` or `Complete`. Note that you will almost *always* want this to be set to `Incremental` otherwise the deployment will destroy all infrastructure not specified within the template, and this provider will not be aware of this. """ return pulumi.get(self, "deployment_mode") @deployment_mode.setter def deployment_mode(self, value: pulumi.Input[str]): pulumi.set(self, "deployment_mode", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Input[str]: """ The name of the resource group in which to create the template deployment. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: pulumi.Input[str]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Specifies the name of the template deployment. Changing this forces a new resource to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def parameters(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ Specifies the name and value pairs that define the deployment parameters for the template. """ return pulumi.get(self, "parameters") @parameters.setter def parameters(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "parameters", value) @property @pulumi.getter(name="parametersBody") def parameters_body(self) -> Optional[pulumi.Input[str]]: """ Specifies a valid Azure JSON parameters file that define the deployment parameters. It can contain KeyVault references """ return pulumi.get(self, "parameters_body") @parameters_body.setter def parameters_body(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "parameters_body", value) @property @pulumi.getter(name="templateBody") def template_body(self) -> Optional[pulumi.Input[str]]: """ Specifies the JSON definition for the template. """ return pulumi.get(self, "template_body") @template_body.setter def template_body(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "template_body", value) @pulumi.input_type class _TemplateDeploymentState: def __init__(__self__, *, deployment_mode: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, outputs: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, parameters_body: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, template_body: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering TemplateDeployment resources. :param pulumi.Input[str] deployment_mode: Specifies the mode that is used to deploy resources. This value could be either `Incremental` or `Complete`. Note that you will almost *always* want this to be set to `Incremental` otherwise the deployment will destroy all infrastructure not specified within the template, and this provider will not be aware of this. :param pulumi.Input[str] name: Specifies the name of the template deployment. Changing this forces a new resource to be created. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] outputs: A map of supported scalar output types returned from the deployment (currently, Azure Template Deployment outputs of type String, Int and Bool are supported, and are converted to strings - others will be ignored) and can be accessed using `.outputs["name"]`. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] parameters: Specifies the name and value pairs that define the deployment parameters for the template. :param pulumi.Input[str] parameters_body: Specifies a valid Azure JSON parameters file that define the deployment parameters. It can contain KeyVault references :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the template deployment. :param pulumi.Input[str] template_body: Specifies the JSON definition for the template. """ if deployment_mode is not None: pulumi.set(__self__, "deployment_mode", deployment_mode) if name is not None: pulumi.set(__self__, "name", name) if outputs is not None: pulumi.set(__self__, "outputs", outputs) if parameters is not None: pulumi.set(__self__, "parameters", parameters) if parameters_body is not None: pulumi.set(__self__, "parameters_body", parameters_body) if resource_group_name is not None: pulumi.set(__self__, "resource_group_name", resource_group_name) if template_body is not None: pulumi.set(__self__, "template_body", template_body) @property @pulumi.getter(name="deploymentMode") def deployment_mode(self) -> Optional[pulumi.Input[str]]: """ Specifies the mode that is used to deploy resources. This value could be either `Incremental` or `Complete`. Note that you will almost *always* want this to be set to `Incremental` otherwise the deployment will destroy all infrastructure not specified within the template, and this provider will not be aware of this. """ return pulumi.get(self, "deployment_mode") @deployment_mode.setter def deployment_mode(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "deployment_mode", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Specifies the name of the template deployment. Changing this forces a new resource to be created. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter def outputs(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ A map of supported scalar output types returned from the deployment (currently, Azure Template Deployment outputs of type String, Int and Bool are supported, and are converted to strings - others will be ignored) and can be accessed using `.outputs["name"]`. """ return pulumi.get(self, "outputs") @outputs.setter def outputs(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "outputs", value) @property @pulumi.getter def parameters(self) -> Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]: """ Specifies the name and value pairs that define the deployment parameters for the template. """ return pulumi.get(self, "parameters") @parameters.setter def parameters(self, value: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]]): pulumi.set(self, "parameters", value) @property @pulumi.getter(name="parametersBody") def parameters_body(self) -> Optional[pulumi.Input[str]]: """ Specifies a valid Azure JSON parameters file that define the deployment parameters. It can contain KeyVault references """ return pulumi.get(self, "parameters_body") @parameters_body.setter def parameters_body(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "parameters_body", value) @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> Optional[pulumi.Input[str]]: """ The name of the resource group in which to create the template deployment. """ return pulumi.get(self, "resource_group_name") @resource_group_name.setter def resource_group_name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "resource_group_name", value) @property @pulumi.getter(name="templateBody") def template_body(self) -> Optional[pulumi.Input[str]]: """ Specifies the JSON definition for the template. """ return pulumi.get(self, "template_body") @template_body.setter def template_body(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "template_body", value) class TemplateDeployment(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, deployment_mode: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, parameters_body: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, template_body: Optional[pulumi.Input[str]] = None, __props__=None): """ Manages a template deployment of resources > **Note on ARM Template Deployments:** Due to the way the underlying Azure API is designed, this provider can only manage the deployment of the ARM Template - and not any resources which are created by it. This means that when deleting the `core.TemplateDeployment` resource, this provider will only remove the reference to the deployment, whilst leaving any resources created by that ARM Template Deployment. One workaround for this is to use a unique Resource Group for each ARM Template Deployment, which means deleting the Resource Group would contain any resources created within it - however this isn't ideal. [More information](https://docs.microsoft.com/en-us/rest/api/resources/deployments#Deployments_Delete). ## Example Usage > **Note:** This example uses Storage Accounts and Public IP's which are natively supported by this provider - we'd highly recommend using the Native Resources where possible instead rather than an ARM Template, for the reasons outlined above. ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_template_deployment = azure.core.TemplateDeployment("exampleTemplateDeployment", resource_group_name=example_resource_group.name, template_body=\"\"\"{ "$schema": "https://schema.management.azure.com/schemas/2015-01-01/deploymentTemplate.json#", "contentVersion": "1.0.0.0", "parameters": { "storageAccountType": { "type": "string", "defaultValue": "Standard_LRS", "allowedValues": [ "Standard_LRS", "Standard_GRS", "Standard_ZRS" ], "metadata": { "description": "Storage Account type" } } }, "variables": { "location": "[resourceGroup().location]", "storageAccountName": "[concat(uniquestring(resourceGroup().id), 'storage')]", "publicIPAddressName": "[concat('myPublicIp', uniquestring(resourceGroup().id))]", "publicIPAddressType": "Dynamic", "apiVersion": "2015-06-15", "dnsLabelPrefix": "example-acctest" }, "resources": [ { "type": "Microsoft.Storage/storageAccounts", "name": "[variables('storageAccountName')]", "apiVersion": "[variables('apiVersion')]", "location": "[variables('location')]", "properties": { "accountType": "[parameters('storageAccountType')]" } }, { "type": "Microsoft.Network/publicIPAddresses", "apiVersion": "[variables('apiVersion')]", "name": "[variables('publicIPAddressName')]", "location": "[variables('location')]", "properties": { "publicIPAllocationMethod": "[variables('publicIPAddressType')]", "dnsSettings": { "domainNameLabel": "[variables('dnsLabelPrefix')]" } } } ], "outputs": { "storageAccountName": { "type": "string", "value": "[variables('storageAccountName')]" } } } \"\"\", parameters={ "storageAccountType": "Standard_GRS", }, deployment_mode="Incremental") pulumi.export("storageAccountName", example_template_deployment.outputs["storageAccountName"]) ``` ## Note This provider does not know about the individual resources created by Azure using a deployment template and therefore cannot delete these resources during a destroy. Destroying a template deployment removes the associated deployment operations, but will not delete the Azure resources created by the deployment. In order to delete these resources, the containing resource group must also be destroyed. [More information](https://docs.microsoft.com/en-us/rest/api/resources/deployments#Deployments_Delete). :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] deployment_mode: Specifies the mode that is used to deploy resources. This value could be either `Incremental` or `Complete`. Note that you will almost *always* want this to be set to `Incremental` otherwise the deployment will destroy all infrastructure not specified within the template, and this provider will not be aware of this. :param pulumi.Input[str] name: Specifies the name of the template deployment. Changing this forces a new resource to be created. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] parameters: Specifies the name and value pairs that define the deployment parameters for the template. :param pulumi.Input[str] parameters_body: Specifies a valid Azure JSON parameters file that define the deployment parameters. It can contain KeyVault references :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the template deployment. :param pulumi.Input[str] template_body: Specifies the JSON definition for the template. """ ... @overload def __init__(__self__, resource_name: str, args: TemplateDeploymentArgs, opts: Optional[pulumi.ResourceOptions] = None): """ Manages a template deployment of resources > **Note on ARM Template Deployments:** Due to the way the underlying Azure API is designed, this provider can only manage the deployment of the ARM Template - and not any resources which are created by it. This means that when deleting the `core.TemplateDeployment` resource, this provider will only remove the reference to the deployment, whilst leaving any resources created by that ARM Template Deployment. One workaround for this is to use a unique Resource Group for each ARM Template Deployment, which means deleting the Resource Group would contain any resources created within it - however this isn't ideal. [More information](https://docs.microsoft.com/en-us/rest/api/resources/deployments#Deployments_Delete). ## Example Usage > **Note:** This example uses Storage Accounts and Public IP's which are natively supported by this provider - we'd highly recommend using the Native Resources where possible instead rather than an ARM Template, for the reasons outlined above. ```python import pulumi import pulumi_azure as azure example_resource_group = azure.core.ResourceGroup("exampleResourceGroup", location="West Europe") example_template_deployment = azure.core.TemplateDeployment("exampleTemplateDeployment", resource_group_name=example_resource_group.name, template_body=\"\"\"{ "$schema": "https://schema.management.azure.com/schemas/2015-01-01/deploymentTemplate.json#", "contentVersion": "1.0.0.0", "parameters": { "storageAccountType": { "type": "string", "defaultValue": "Standard_LRS", "allowedValues": [ "Standard_LRS", "Standard_GRS", "Standard_ZRS" ], "metadata": { "description": "Storage Account type" } } }, "variables": { "location": "[resourceGroup().location]", "storageAccountName": "[concat(uniquestring(resourceGroup().id), 'storage')]", "publicIPAddressName": "[concat('myPublicIp', uniquestring(resourceGroup().id))]", "publicIPAddressType": "Dynamic", "apiVersion": "2015-06-15", "dnsLabelPrefix": "example-acctest" }, "resources": [ { "type": "Microsoft.Storage/storageAccounts", "name": "[variables('storageAccountName')]", "apiVersion": "[variables('apiVersion')]", "location": "[variables('location')]", "properties": { "accountType": "[parameters('storageAccountType')]" } }, { "type": "Microsoft.Network/publicIPAddresses", "apiVersion": "[variables('apiVersion')]", "name": "[variables('publicIPAddressName')]", "location": "[variables('location')]", "properties": { "publicIPAllocationMethod": "[variables('publicIPAddressType')]", "dnsSettings": { "domainNameLabel": "[variables('dnsLabelPrefix')]" } } } ], "outputs": { "storageAccountName": { "type": "string", "value": "[variables('storageAccountName')]" } } } \"\"\", parameters={ "storageAccountType": "Standard_GRS", }, deployment_mode="Incremental") pulumi.export("storageAccountName", example_template_deployment.outputs["storageAccountName"]) ``` ## Note This provider does not know about the individual resources created by Azure using a deployment template and therefore cannot delete these resources during a destroy. Destroying a template deployment removes the associated deployment operations, but will not delete the Azure resources created by the deployment. In order to delete these resources, the containing resource group must also be destroyed. [More information](https://docs.microsoft.com/en-us/rest/api/resources/deployments#Deployments_Delete). :param str resource_name: The name of the resource. :param TemplateDeploymentArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(TemplateDeploymentArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, deployment_mode: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, parameters_body: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, template_body: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = TemplateDeploymentArgs.__new__(TemplateDeploymentArgs) if deployment_mode is None and not opts.urn: raise TypeError("Missing required property 'deployment_mode'") __props__.__dict__["deployment_mode"] = deployment_mode __props__.__dict__["name"] = name __props__.__dict__["parameters"] = parameters __props__.__dict__["parameters_body"] = parameters_body if resource_group_name is None and not opts.urn: raise TypeError("Missing required property 'resource_group_name'") __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["template_body"] = template_body __props__.__dict__["outputs"] = None super(TemplateDeployment, __self__).__init__( 'azure:core/templateDeployment:TemplateDeployment', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, deployment_mode: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, outputs: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, parameters: Optional[pulumi.Input[Mapping[str, pulumi.Input[str]]]] = None, parameters_body: Optional[pulumi.Input[str]] = None, resource_group_name: Optional[pulumi.Input[str]] = None, template_body: Optional[pulumi.Input[str]] = None) -> 'TemplateDeployment': """ Get an existing TemplateDeployment resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] deployment_mode: Specifies the mode that is used to deploy resources. This value could be either `Incremental` or `Complete`. Note that you will almost *always* want this to be set to `Incremental` otherwise the deployment will destroy all infrastructure not specified within the template, and this provider will not be aware of this. :param pulumi.Input[str] name: Specifies the name of the template deployment. Changing this forces a new resource to be created. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] outputs: A map of supported scalar output types returned from the deployment (currently, Azure Template Deployment outputs of type String, Int and Bool are supported, and are converted to strings - others will be ignored) and can be accessed using `.outputs["name"]`. :param pulumi.Input[Mapping[str, pulumi.Input[str]]] parameters: Specifies the name and value pairs that define the deployment parameters for the template. :param pulumi.Input[str] parameters_body: Specifies a valid Azure JSON parameters file that define the deployment parameters. It can contain KeyVault references :param pulumi.Input[str] resource_group_name: The name of the resource group in which to create the template deployment. :param pulumi.Input[str] template_body: Specifies the JSON definition for the template. """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _TemplateDeploymentState.__new__(_TemplateDeploymentState) __props__.__dict__["deployment_mode"] = deployment_mode __props__.__dict__["name"] = name __props__.__dict__["outputs"] = outputs __props__.__dict__["parameters"] = parameters __props__.__dict__["parameters_body"] = parameters_body __props__.__dict__["resource_group_name"] = resource_group_name __props__.__dict__["template_body"] = template_body return TemplateDeployment(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="deploymentMode") def deployment_mode(self) -> pulumi.Output[str]: """ Specifies the mode that is used to deploy resources. This value could be either `Incremental` or `Complete`. Note that you will almost *always* want this to be set to `Incremental` otherwise the deployment will destroy all infrastructure not specified within the template, and this provider will not be aware of this. """ return pulumi.get(self, "deployment_mode") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ Specifies the name of the template deployment. Changing this forces a new resource to be created. """ return pulumi.get(self, "name") @property @pulumi.getter def outputs(self) -> pulumi.Output[Mapping[str, str]]: """ A map of supported scalar output types returned from the deployment (currently, Azure Template Deployment outputs of type String, Int and Bool are supported, and are converted to strings - others will be ignored) and can be accessed using `.outputs["name"]`. """ return pulumi.get(self, "outputs") @property @pulumi.getter def parameters(self) -> pulumi.Output[Optional[Mapping[str, str]]]: """ Specifies the name and value pairs that define the deployment parameters for the template. """ return pulumi.get(self, "parameters") @property @pulumi.getter(name="parametersBody") def parameters_body(self) -> pulumi.Output[Optional[str]]: """ Specifies a valid Azure JSON parameters file that define the deployment parameters. It can contain KeyVault references """ return pulumi.get(self, "parameters_body") @property @pulumi.getter(name="resourceGroupName") def resource_group_name(self) -> pulumi.Output[str]: """ The name of the resource group in which to create the template deployment. """ return pulumi.get(self, "resource_group_name") @property @pulumi.getter(name="templateBody") def template_body(self) -> pulumi.Output[str]: """ Specifies the JSON definition for the template. """ return pulumi.get(self, "template_body")

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Python

tests/gui_tests/test_gui_methods.py

debrief/pepys-import

12d29c0e0f69e1119400334983947893e7679b6b

[ "Apache-2.0" ]

4

2021-05-14T08:22:47.000Z

2022-02-04T19:48:25.000Z

tests/gui_tests/test_gui_methods.py

debrief/pepys-import

12d29c0e0f69e1119400334983947893e7679b6b

[ "Apache-2.0" ]

1,083

2019-11-06T17:01:07.000Z

2022-03-25T10:26:51.000Z

tests/gui_tests/test_gui_methods.py

debrief/pepys-import

12d29c0e0f69e1119400334983947893e7679b6b

[ "Apache-2.0" ]

4

2019-11-06T12:00:45.000Z

2021-06-09T04:18:28.000Z

from unittest.mock import Mock import pytest from pepys_admin.maintenance.gui import MaintenanceGUI from pepys_import.core.store.db_status import TableTypes # These tests only work properly if pytest is run with the -s option # that stops pytest trying to change where stdin is pointing to. # This is because the constructor of the prompt_toolkit Application class # tries to sort out input/output terminals, even if we don't call # the run method. # I tried various ways to configure this programatically, and they all # failed in various interesting and intermittent ways - so it is best # just to run these tests with -s. # The first few lines of each test skip the test if pytest hasn't been # run with -s - otherwise they would fail. # The CI configuration has been updated to do two test runs: one # for most of the tests without -s, and then the GUI tests with -s. def set_selected_table_to_platform(gui): gui.current_table_object = gui.data_store.db_classes.Platform gui.get_column_data(gui.current_table_object) gui.dropdown_table.text = "Platforms" gui.get_default_preview_fields() def test_generating_column_data(pytestconfig, test_datastore): if pytestconfig.getoption("capture") != "no": pytest.skip("Skipped because pytest was not run with -s option") gui = MaintenanceGUI(test_datastore) set_selected_table_to_platform(gui) correct_col_data = { "created date": { "required": False, "sqlalchemy_type": "column", "system_name": "created_date", "type": "datetime", }, "identifier": { "required": True, "sqlalchemy_type": "column", "system_name": "identifier", "type": "string", "values": ["A643", "A816", "C045", "P543"], }, "name": { "required": True, "sqlalchemy_type": "column", "system_name": "name", "type": "string", "values": ["ADRI", "JEAN", "NARV", "SPAR"], }, "nationality": { "foreign_table_type": TableTypes.REFERENCE, "multiple_values_allowed": False, "required": True, "second_level": False, "sqlalchemy_type": "relationship", "system_name": "nationality", "type": "string", "values": [ "United Kingdom", "Canada", "France", "Germany", "Italy", "Netherlands", "United States", "Afghanistan", "Albania", "Algeria", "American Samoa", "Andorra", "Angola", "Anguilla", "Antarctica", "Antigua and Barbuda", "Argentina", "Armenia", "Aruba", "Australia", "Austria", "Azerbaijan", "Bahamas", "Bahrain", "Bangladesh", "Barbados", "Belarus", "Belgium", "Belize", "Benin", "Bermuda", "Bhutan", "Bolivia, Plurinational State of", "Bolivia", "Bosnia and Herzegovina", "Botswana", "Bouvet Island", "Brazil", "British Indian Ocean Territory", "Brunei Darussalam", "Brunei", "Bulgaria", "Burkina Faso", "Burundi", "Cambodia", "Cameroon", "Cape Verde", "Cayman Islands", "Central African Republic", "Chad", "Chile", "China", "Christmas Island", "Cocos (Keeling) Islands", "Colombia", "Comoros", "Congo", "Congo, the Democratic Republic of the", "Cook Islands", "Costa Rica", "Cote d'Ivoire", "Ivory Coast", "Croatia", "Cuba", "Cyprus", "Czech Republic", "Denmark", "Djibouti", "Dominica", "Dominican Republic", "Ecuador", "Egypt", "El Salvador", "Equatorial Guinea", "Eritrea", "Estonia", "Ethiopia", "Falkland Islands (Malvinas)", "Faroe Islands", "Fiji", "Finland", "French Guiana", "French Polynesia", "French Southern Territories", "Gabon", "Gambia", "Georgia", "Ghana", "Gibraltar", "Greece", "Greenland", "Grenada", "Guadeloupe", "Guam", "Guatemala", "Guernsey", "Guinea", "Guinea-Bissau", "Guyana", "Haiti", "Heard Island and McDonald Islands", "Holy See (Vatican City State)", "Honduras", "Hong Kong", "Hungary", "Iceland", "India", "Indonesia", "Iran, Islamic Republic of", "Iraq", "Ireland", "Isle of Man", "Israel", "Jamaica", "Japan", "Jersey", "Jordan", "Kazakhstan", "Kenya", "Kiribati", "Korea, Democratic People's Republic of", "Korea, Republic of", "South Korea", "Kuwait", "Kyrgyzstan", "Lao People's Democratic Republic", "Latvia", "Lebanon", "Lesotho", "Liberia", "Libyan Arab Jamahiriya", "Libya", "Liechtenstein", "Lithuania", "Luxembourg", "Macao", "Macedonia, the former Yugoslav Republic of", "Madagascar", "Malawi", "Malaysia", "Maldives", "Mali", "Malta", "Marshall Islands", "Martinique", "Mauritania", "Mauritius", "Mayotte", "Mexico", "Micronesia, Federated States of", "Moldova, Republic of", "Monaco", "Mongolia", "Montenegro", "Montserrat", "Morocco", "Mozambique", "Myanmar", "Burma", "Namibia", "Nauru", "Nepal", "Netherlands Antilles", "New Caledonia", "New Zealand", "Nicaragua", "Niger", "Nigeria", "Niue", "Norfolk Island", "Northern Mariana Islands", "Norway", "Oman", "Pakistan", "Palau", "Palestinian Territory, Occupied", "Panama", "Papua New Guinea", "Paraguay", "Peru", "Philippines", "Pitcairn", "Poland", "Portugal", "Puerto Rico", "Qatar", "Reunion", "Romania", "Russian Federation", "Russia", "Rwanda", "Saint Helena, Ascension and Tristan da Cunha", "Saint Kitts and Nevis", "Saint Lucia", "Saint Pierre and Miquelon", "Saint Vincent and the Grenadines", "Saint Vincent & the Grenadines", "St. Vincent and the Grenadines", "Samoa", "San Marino", "Sao Tome and Principe", "Saudi Arabia", "Senegal", "Serbia", "Seychelles", "Sierra Leone", "Singapore", "Slovakia", "Slovenia", "Solomon Islands", "Somalia", "South Africa", "South Georgia and the South Sandwich Islands", "South Sudan", "Spain", "Sri Lanka", "Sudan", "Suriname", "Svalbard and Jan Mayen", "Swaziland", "Sweden", "Switzerland", "Syrian Arab Republic", "Taiwan, Province of China", "Taiwan", "Tajikistan", "Tanzania, United Republic of", "Thailand", "Timor-Leste", "Togo", "Tokelau", "Tonga", "Trinidad and Tobago", "Tunisia", "Turkey", "Turkmenistan", "Turks and Caicos Islands", "Tuvalu", "Uganda", "Ukraine", "United Arab Emirates", "United States Minor Outlying Islands", "Uruguay", "Uzbekistan", "Vanuatu", "Venezuela, Bolivarian Republic of", "Venezuela", "Viet Nam", "Vietnam", "Virgin Islands, British", "Virgin Islands, U.S.", "Wallis and Futuna", "Western Sahara", "Yemen", "Zambia", "Zimbabwe", "Unknown", ], }, "nationality name": { "required": True, "sqlalchemy_type": "assoc_proxy", "system_name": "nationality_name", "type": "string", "values": [ "United Kingdom", "Canada", "France", "Germany", "Italy", "Netherlands", "United States", "Afghanistan", "Albania", "Algeria", "American Samoa", "Andorra", "Angola", "Anguilla", "Antarctica", "Antigua and Barbuda", "Argentina", "Armenia", "Aruba", "Australia", "Austria", "Azerbaijan", "Bahamas", "Bahrain", "Bangladesh", "Barbados", "Belarus", "Belgium", "Belize", "Benin", "Bermuda", "Bhutan", "Bolivia, Plurinational State of", "Bolivia", "Bosnia and Herzegovina", "Botswana", "Bouvet Island", "Brazil", "British Indian Ocean Territory", "Brunei Darussalam", "Brunei", "Bulgaria", "Burkina Faso", "Burundi", "Cambodia", "Cameroon", "Cape Verde", "Cayman Islands", "Central African Republic", "Chad", "Chile", "China", "Christmas Island", "Cocos (Keeling) Islands", "Colombia", "Comoros", "Congo", "Congo, the Democratic Republic of the", "Cook Islands", "Costa Rica", "Cote d'Ivoire", "Ivory Coast", "Croatia", "Cuba", "Cyprus", "Czech Republic", "Denmark", "Djibouti", "Dominica", "Dominican Republic", "Ecuador", "Egypt", "El Salvador", "Equatorial Guinea", "Eritrea", "Estonia", "Ethiopia", "Falkland Islands (Malvinas)", "Faroe Islands", "Fiji", "Finland", "French Guiana", "French Polynesia", "French Southern Territories", "Gabon", "Gambia", "Georgia", "Ghana", "Gibraltar", "Greece", "Greenland", "Grenada", "Guadeloupe", "Guam", "Guatemala", "Guernsey", "Guinea", "Guinea-Bissau", "Guyana", "Haiti", "Heard Island and McDonald Islands", "Holy See (Vatican City State)", "Honduras", "Hong Kong", "Hungary", "Iceland", "India", "Indonesia", "Iran, Islamic Republic of", "Iraq", "Ireland", "Isle of Man", "Israel", "Jamaica", "Japan", "Jersey", "Jordan", "Kazakhstan", "Kenya", "Kiribati", "Korea, Democratic People's Republic of", "Korea, Republic of", "South Korea", "Kuwait", "Kyrgyzstan", "Lao People's Democratic Republic", "Latvia", "Lebanon", "Lesotho", "Liberia", "Libyan Arab Jamahiriya", "Libya", "Liechtenstein", "Lithuania", "Luxembourg", "Macao", "Macedonia, the former Yugoslav Republic of", "Madagascar", "Malawi", "Malaysia", "Maldives", "Mali", "Malta", "Marshall Islands", "Martinique", "Mauritania", "Mauritius", "Mayotte", "Mexico", "Micronesia, Federated States of", "Moldova, Republic of", "Monaco", "Mongolia", "Montenegro", "Montserrat", "Morocco", "Mozambique", "Myanmar", "Burma", "Namibia", "Nauru", "Nepal", "Netherlands Antilles", "New Caledonia", "New Zealand", "Nicaragua", "Niger", "Nigeria", "Niue", "Norfolk Island", "Northern Mariana Islands", "Norway", "Oman", "Pakistan", "Palau", "Palestinian Territory, Occupied", "Panama", "Papua New Guinea", "Paraguay", "Peru", "Philippines", "Pitcairn", "Poland", "Portugal", "Puerto Rico", "Qatar", "Reunion", "Romania", "Russian Federation", "Russia", "Rwanda", "Saint Helena, Ascension and Tristan da Cunha", "Saint Kitts and Nevis", "Saint Lucia", "Saint Pierre and Miquelon", "Saint Vincent and the Grenadines", "Saint Vincent & the Grenadines", "St. Vincent and the Grenadines", "Samoa", "San Marino", "Sao Tome and Principe", "Saudi Arabia", "Senegal", "Serbia", "Seychelles", "Sierra Leone", "Singapore", "Slovakia", "Slovenia", "Solomon Islands", "Somalia", "South Africa", "South Georgia and the South Sandwich Islands", "South Sudan", "Spain", "Sri Lanka", "Sudan", "Suriname", "Svalbard and Jan Mayen", "Swaziland", "Sweden", "Switzerland", "Syrian Arab Republic", "Taiwan, Province of China", "Taiwan", "Tajikistan", "Tanzania, United Republic of", "Thailand", "Timor-Leste", "Togo", "Tokelau", "Tonga", "Trinidad and Tobago", "Tunisia", "Turkey", "Turkmenistan", "Turks and Caicos Islands", "Tuvalu", "Uganda", "Ukraine", "United Arab Emirates", "United States Minor Outlying Islands", "Uruguay", "Uzbekistan", "Vanuatu", "Venezuela, Bolivarian Republic of", "Venezuela", "Viet Nam", "Vietnam", "Virgin Islands, British", "Virgin Islands, U.S.", "Wallis and Futuna", "Western Sahara", "Yemen", "Zambia", "Zimbabwe", "Unknown", ], }, "platform id": { "required": True, "sqlalchemy_type": "column", "system_name": "platform_id", "type": "id", }, "platform type": { "foreign_table_type": TableTypes.REFERENCE, "multiple_values_allowed": False, "required": True, "second_level": False, "sqlalchemy_type": "relationship", "system_name": "platform_type", "type": "string", "values": [ "Attack Craft", "Commercial aircraft", "Fishing Vessel", "High Speed Craft", "Law Enforcement", "Medical", "Merchant", "Naval - aircraft carrier", "Naval - amphib", "Naval - auxiliary", "Naval - cruiser", "Naval - destroyer", "Naval - ExCon", "Naval - fixed wing", "Naval - frigate", "Naval - minewarfare", "Naval - miscellaneous", "Naval - patrol", "Naval - rotary wing", "Naval - submarine", "Naval - survey", "Passenger vessel", "Pleasure Craft", "Research vessel", "Sailing vessel", "Search and Rescue", "Offshore support", "Civilian - uncrewed surface vehicle", "Civilian - uncrewed underwater vehicle", "Civilian - uncrewed air vehicle", "Naval - uncrewed surface vehicle", "Naval - uncrewed underwater vehicle", "Naval - uncrewed air vehicle", "Unknown", ], }, "platform type name": { "required": True, "sqlalchemy_type": "assoc_proxy", "system_name": "platform_type_name", "type": "string", "values": [ "Attack Craft", "Civilian - uncrewed air vehicle", "Civilian - uncrewed surface vehicle", "Civilian - uncrewed underwater vehicle", "Commercial aircraft", "Fishing Vessel", "High Speed Craft", "Law Enforcement", "Medical", "Merchant", "Naval - ExCon", "Naval - aircraft carrier", "Naval - amphib", "Naval - auxiliary", "Naval - cruiser", "Naval - destroyer", "Naval - fixed wing", "Naval - frigate", "Naval - minewarfare", "Naval - miscellaneous", "Naval - patrol", "Naval - rotary wing", "Naval - submarine", "Naval - survey", "Naval - uncrewed air vehicle", "Naval - uncrewed surface vehicle", "Naval - uncrewed underwater vehicle", "Offshore support", "Passenger vessel", "Pleasure Craft", "Research vessel", "Sailing vessel", "Search and Rescue", "Unknown", ], }, "privacy": { "foreign_table_type": TableTypes.REFERENCE, "multiple_values_allowed": False, "required": True, "second_level": False, "sqlalchemy_type": "relationship", "system_name": "privacy", "type": "string", "values": [ "Public", "Public Sensitive", "Private", "Private UK/IE", "Very Private UK/IE", "Private UK/IE/FR", "Very Private UK/IE/FR", "Very Private", ], }, "privacy name": { "required": True, "sqlalchemy_type": "assoc_proxy", "system_name": "privacy_name", "type": "string", "values": [ "Public", "Public Sensitive", "Private", "Private UK/IE", "Very Private UK/IE", "Private UK/IE/FR", "Very Private UK/IE/FR", "Very Private", ], }, "quadgraph": { "required": False, "sqlalchemy_type": "column", "system_name": "quadgraph", "type": "string", "values": [], }, "trigraph": { "required": False, "sqlalchemy_type": "column", "system_name": "trigraph", "type": "string", "values": [], }, "wargame participations": { "required": True, "sqlalchemy_type": "assoc_proxy", "system_name": "wargame_participations", "type": "string", "values": [], }, } output_col_data = gui.column_data del output_col_data["nationality"]["ids"] del output_col_data["platform type"]["ids"] del output_col_data["privacy"]["ids"] assert output_col_data == correct_col_data def test_running_query_single_condition(pytestconfig, test_datastore): if pytestconfig.getoption("capture") != "no": pytest.skip("Skipped because pytest was not run with -s option") gui = MaintenanceGUI(test_datastore) set_selected_table_to_platform(gui) gui.filter_widget = Mock() gui.filter_widget.filters = [["name", "=", "ADRI"]] gui.run_query() # Should be 2 entries because of the header line, # plus the one result assert len(gui.table_data) == 2 assert len(gui.table_objects) == 2 assert gui.table_data[0] == ["Name", "Identifier", "Nationality name", "Platform type name"] assert gui.table_data[1] == ["ADRI", "A643", "United Kingdom", "Naval - frigate"] assert isinstance(gui.table_objects[1], gui.data_store.db_classes.Platform) assert gui.table_objects[0] is None assert gui.table_objects[1].name == "ADRI" def test_running_query_two_conditions_or(pytestconfig, test_datastore): if pytestconfig.getoption("capture") != "no": pytest.skip("Skipped because pytest was not run with -s option") gui = MaintenanceGUI(test_datastore) set_selected_table_to_platform(gui) gui.filter_widget = Mock() gui.filter_widget.filters = [["name", "=", "ADRI"], ["OR"], ["name", "=", "JEAN"]] gui.run_query() # Should be 3 entries because of the header line, # plus the two results assert len(gui.table_data) == 3 assert len(gui.table_objects) == 3 assert gui.table_data[0] == ["Name", "Identifier", "Nationality name", "Platform type name"] assert gui.table_data[2] == ["JEAN", "A816", "United Kingdom", "Naval - frigate"] assert isinstance(gui.table_objects[2], gui.data_store.db_classes.Platform) assert gui.table_objects[0] is None assert gui.table_objects[2].name == "JEAN" def test_running_query_two_conditions_and(pytestconfig, test_datastore): if pytestconfig.getoption("capture") != "no": pytest.skip("Skipped because pytest was not run with -s option") gui = MaintenanceGUI(test_datastore) set_selected_table_to_platform(gui) gui.filter_widget = Mock() gui.filter_widget.filters = [ ["nationality_name", "=", "United Kingdom"], ["AND"], ["identifier", "LIKE", "A"], ] gui.run_query() # Should be 3 entries because of the header line, # plus the two results assert len(gui.table_data) == 3 assert len(gui.table_objects) == 3 assert gui.table_data[0] == ["Name", "Identifier", "Nationality name", "Platform type name"] assert gui.table_data[1] == ["ADRI", "A643", "United Kingdom", "Naval - frigate"] assert gui.table_data[2] == ["JEAN", "A816", "United Kingdom", "Naval - frigate"] assert isinstance(gui.table_objects[2], gui.data_store.db_classes.Platform) assert gui.table_objects[0] is None assert gui.table_objects[1].name == "ADRI" assert gui.table_objects[2].name == "JEAN"

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eceef1735507c150e57a55e6aa285fd7249f0e5f

32,939

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Python

test/terra/utils/qasm_simulator/qasm_cliffords.py

mtreinish/qiskit-aer

ef2e910b474379bb3a6f45e1b4f42cc3dc39c0c0

[ "Apache-2.0" ]

null

test/terra/utils/qasm_simulator/qasm_cliffords.py

mtreinish/qiskit-aer

ef2e910b474379bb3a6f45e1b4f42cc3dc39c0c0

[ "Apache-2.0" ]

null

test/terra/utils/qasm_simulator/qasm_cliffords.py

mtreinish/qiskit-aer

ef2e910b474379bb3a6f45e1b4f42cc3dc39c0c0

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Copyright 2018, IBM. # # This source code is licensed under the Apache License, Version 2.0 found in # the LICENSE.txt file in the root directory of this source tree. """ QasmSimulator Integration Tests """ from test.terra.utils import common from test.terra.utils import ref_1q_clifford from test.terra.utils import ref_2q_clifford from qiskit import compile from qiskit.providers.aer import QasmSimulator class QasmCliffordTests(common.QiskitAerTestCase): """QasmSimulator Clifford gate tests in default basis.""" SIMULATOR = QasmSimulator() BACKEND_OPTS = {} # --------------------------------------------------------------------- # Test h-gate # --------------------------------------------------------------------- def test_h_gate_deterministic_default_basis_gates(self): """Test h-gate circuits compiling to backend default basis_gates.""" shots = 100 circuits = ref_1q_clifford.h_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.h_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) def test_h_gate_nondeterministic_default_basis_gates(self): """Test h-gate circuits compiling to backend default basis_gates.""" shots = 2000 circuits = ref_1q_clifford.h_gate_circuits_nondeterministic(final_measure=True) targets = ref_1q_clifford.h_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test x-gate # --------------------------------------------------------------------- def test_x_gate_deterministic_default_basis_gates(self): """Test x-gate circuits compiling to backend default basis_gates.""" shots = 100 circuits = ref_1q_clifford.x_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.x_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) # --------------------------------------------------------------------- # Test z-gate # --------------------------------------------------------------------- def test_z_gate_deterministic_default_basis_gates(self): """Test z-gate circuits compiling to backend default basis_gates.""" shots = 100 circuits = ref_1q_clifford.z_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.z_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) # --------------------------------------------------------------------- # Test y-gate # --------------------------------------------------------------------- def test_y_gate_deterministic_default_basis_gates(self): """Test y-gate circuits compiling to backend default basis_gates.""" shots = 100 circuits = ref_1q_clifford.y_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.y_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) # --------------------------------------------------------------------- # Test s-gate # --------------------------------------------------------------------- def test_s_gate_deterministic_default_basis_gates(self): """Test s-gate circuits compiling to backend default basis_gates.""" shots = 100 circuits = ref_1q_clifford.s_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.s_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_s_gate_nondeterministic_default_basis_gates(self): """Test s-gate circuits compiling to backend default basis_gates.""" shots = 2000 circuits = ref_1q_clifford.s_gate_circuits_nondeterministic(final_measure=True) targets = ref_1q_clifford.s_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test sdg-gate # --------------------------------------------------------------------- def test_sdg_gate_deterministic_default_basis_gates(self): """Test sdg-gate circuits compiling to backend default basis_gates.""" shots = 100 circuits = ref_1q_clifford.sdg_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.sdg_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_sdg_gate_nondeterministic_default_basis_gates(self): shots = 2000 """Test sdg-gate circuits compiling to backend default basis_gates.""" circuits = ref_1q_clifford.sdg_gate_circuits_nondeterministic(final_measure=True) targets = ref_1q_clifford.sdg_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test cx-gate # --------------------------------------------------------------------- def test_cx_gate_deterministic_default_basis_gates(self): """Test cx-gate circuits compiling to backend default basis_gates.""" shots = 100 circuits = ref_2q_clifford.cx_gate_circuits_deterministic(final_measure=True) targets = ref_2q_clifford.cx_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_cx_gate_nondeterministic_default_basis_gates(self): """Test cx-gate circuits compiling to backend default basis_gates.""" shots = 2000 circuits = ref_2q_clifford.cx_gate_circuits_nondeterministic(final_measure=True) targets = ref_2q_clifford.cx_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test cz-gate # --------------------------------------------------------------------- def test_cz_gate_deterministic_default_basis_gates(self): """Test cz-gate circuits compiling to backend default basis_gates.""" shots = 100 circuits = ref_2q_clifford.cz_gate_circuits_deterministic(final_measure=True) targets = ref_2q_clifford.cz_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_cz_gate_nondeterministic_default_basis_gates(self): """Test cz-gate circuits compiling to backend default basis_gates.""" shots = 2000 circuits = ref_2q_clifford.cz_gate_circuits_nondeterministic(final_measure=True) targets = ref_2q_clifford.cz_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test swap-gate # --------------------------------------------------------------------- def test_swap_gate_deterministic_default_basis_gates(self): """Test swap-gate circuits compiling to backend default basis_gates.""" shots = 100 circuits = ref_2q_clifford.swap_gate_circuits_deterministic(final_measure=True) targets = ref_2q_clifford.swap_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_swap_gate_nondeterministic_default_basis_gates(self): """Test swap-gate circuits compiling to backend default basis_gates.""" shots = 2000 circuits = ref_2q_clifford.swap_gate_circuits_nondeterministic(final_measure=True) targets = ref_2q_clifford.swap_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) class QasmCliffordTestsWaltzBasis(common.QiskitAerTestCase): """QasmSimulator Clifford gate tests in Waltz u1,u2,u3,cx basis.""" SIMULATOR = QasmSimulator() BACKEND_OPTS = {} # --------------------------------------------------------------------- # Test h-gate # --------------------------------------------------------------------- def test_h_gate_deterministic_waltz_basis_gates(self): """Test h-gate gate circuits compiling to u1,u2,u3,cx""" shots = 100 circuits = ref_1q_clifford.h_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.h_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) def test_h_gate_nondeterministic_waltz_basis_gates(self): """Test h-gate gate circuits compiling to u1,u2,u3,cx""" shots = 2000 circuits = ref_1q_clifford.h_gate_circuits_nondeterministic(final_measure=True) targets = ref_1q_clifford.h_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test x-gate # --------------------------------------------------------------------- def test_x_gate_deterministic_waltz_basis_gates(self): """Test x-gate gate circuits compiling to u1,u2,u3,cx""" shots = 100 circuits = ref_1q_clifford.x_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.x_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) # --------------------------------------------------------------------- # Test z-gate # --------------------------------------------------------------------- def test_z_gate_deterministic_waltz_basis_gates(self): """Test z-gate gate circuits compiling to u1,u2,u3,cx""" shots = 100 circuits = ref_1q_clifford.z_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.z_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_z_gate_deterministic_minimal_basis_gates(self): """Test z-gate gate circuits compiling to u3,cx""" shots = 100 circuits = ref_1q_clifford.z_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.z_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) # --------------------------------------------------------------------- # Test y-gate # --------------------------------------------------------------------- def test_y_gate_deterministic_default_basis_gates(self): """Test y-gate circuits compiling to backend default basis_gates.""" shots = 100 circuits = ref_1q_clifford.y_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.y_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_y_gate_deterministic_waltz_basis_gates(self): shots = 100 """Test y-gate gate circuits compiling to u1,u2,u3,cx""" circuits = ref_1q_clifford.y_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.y_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) # --------------------------------------------------------------------- # Test s-gate # --------------------------------------------------------------------- def test_s_gate_deterministic_waltz_basis_gates(self): """Test s-gate gate circuits compiling to u1,u2,u3,cx""" shots = 100 circuits = ref_1q_clifford.s_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.s_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_s_gate_nondeterministic_waltz_basis_gates(self): """Test s-gate gate circuits compiling to u1,u2,u3,cx""" shots = 2000 circuits = ref_1q_clifford.s_gate_circuits_nondeterministic(final_measure=True) targets = ref_1q_clifford.s_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test sdg-gate # --------------------------------------------------------------------- def test_sdg_gate_deterministic_waltz_basis_gates(self): """Test sdg-gate gate circuits compiling to u1,u2,u3,cx""" shots = 100 circuits = ref_1q_clifford.sdg_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.sdg_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_sdg_gate_nondeterministic_waltz_basis_gates(self): """Test sdg-gate gate circuits compiling to u1,u2,u3,cx""" shots = 2000 circuits = ref_1q_clifford.sdg_gate_circuits_nondeterministic(final_measure=True) targets = ref_1q_clifford.sdg_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test cx-gate # --------------------------------------------------------------------- def test_cx_gate_deterministic_waltz_basis_gates(self): shots = 100 """Test cx-gate gate circuits compiling to u1,u2,u3,cx""" circuits = ref_2q_clifford.cx_gate_circuits_deterministic(final_measure=True) targets = ref_2q_clifford.cx_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_cx_gate_nondeterministic_waltz_basis_gates(self): """Test cx-gate gate circuits compiling to u1,u2,u3,cx""" shots = 2000 circuits = ref_2q_clifford.cx_gate_circuits_nondeterministic(final_measure=True) targets = ref_2q_clifford.cx_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test cz-gate # --------------------------------------------------------------------- def test_cz_gate_deterministic_waltz_basis_gates(self): """Test cz-gate gate circuits compiling to u1,u2,u3,cx""" shots = 100 circuits = ref_2q_clifford.cz_gate_circuits_deterministic(final_measure=True) targets = ref_2q_clifford.cz_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_cz_gate_nondeterministic_waltz_basis_gates(self): """Test cz-gate gate circuits compiling to u1,u2,u3,cx""" shots = 2000 circuits = ref_2q_clifford.cz_gate_circuits_nondeterministic(final_measure=True) targets = ref_2q_clifford.cz_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test swap-gate # --------------------------------------------------------------------- def test_swap_gate_deterministic_waltz_basis_gates(self): """Test swap-gate gate circuits compiling to u1,u2,u3,cx""" shots = 100 circuits = ref_2q_clifford.swap_gate_circuits_deterministic(final_measure=True) targets = ref_2q_clifford.swap_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_swap_gate_nondeterministic_waltz_basis_gates(self): """Test swap-gate gate circuits compiling to u1,u2,u3,cx""" shots = 2000 circuits = ref_2q_clifford.swap_gate_circuits_nondeterministic(final_measure=True) targets = ref_2q_clifford.swap_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u1', 'u2', 'u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) class QasmCliffordTestsMinimalBasis(common.QiskitAerTestCase): """QasmSimulator Clifford gate tests in minimam U,CX basis.""" SIMULATOR = QasmSimulator() BACKEND_OPTS = {} # --------------------------------------------------------------------- # Test h-gate # --------------------------------------------------------------------- def test_h_gate_deterministic_minimal_basis_gates(self): """Test h-gate gate circuits compiling to u3,cx""" shots = 100 circuits = ref_1q_clifford.h_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.h_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) def test_h_gate_nondeterministic_minimal_basis_gates(self): """Test h-gate gate circuits compiling to u3,cx""" shots = 2000 circuits = ref_1q_clifford.h_gate_circuits_nondeterministic(final_measure=True) targets = ref_1q_clifford.h_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test x-gate # --------------------------------------------------------------------- def test_x_gate_deterministic_minimal_basis_gates(self): """Test x-gate gate circuits compiling to u3,cx""" shots = 100 circuits = ref_1q_clifford.x_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.x_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) # --------------------------------------------------------------------- # Test z-gate # --------------------------------------------------------------------- def test_z_gate_deterministic_minimal_basis_gates(self): """Test z-gate gate circuits compiling to u3,cx""" shots = 100 circuits = ref_1q_clifford.z_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.z_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) # --------------------------------------------------------------------- # Test y-gate # --------------------------------------------------------------------- def test_y_gate_deterministic_minimal_basis_gates(self): """Test y-gate gate circuits compiling to u3,cx""" shots = 100 circuits = ref_1q_clifford.y_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.y_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) # --------------------------------------------------------------------- # Test s-gate # --------------------------------------------------------------------- def test_s_gate_deterministic_minimal_basis_gates(self): """Test s-gate gate circuits compiling to u3,cx""" shots = 100 circuits = ref_1q_clifford.s_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.s_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_s_gate_nondeterministic_minimal_basis_gates(self): """Test s-gate gate circuits compiling to u3,cx""" shots = 2000 circuits = ref_1q_clifford.s_gate_circuits_nondeterministic(final_measure=True) targets = ref_1q_clifford.s_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test sdg-gate # --------------------------------------------------------------------- def test_sdg_gate_deterministic_minimal_basis_gates(self): """Test sdg-gate gate circuits compiling to u3,cx""" shots = 100 circuits = ref_1q_clifford.sdg_gate_circuits_deterministic(final_measure=True) targets = ref_1q_clifford.sdg_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_sdg_gate_nondeterministic_minimal_basis_gates(self): """Test sdg-gate gate circuits compiling to u3,cx""" shots = 2000 circuits = ref_1q_clifford.sdg_gate_circuits_nondeterministic(final_measure=True) targets = ref_1q_clifford.sdg_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test cx-gate # --------------------------------------------------------------------- def test_cx_gate_deterministic_minimal_basis_gates(self): """Test cx-gate gate circuits compiling to u3,cx""" shots = 100 circuits = ref_2q_clifford.cx_gate_circuits_deterministic(final_measure=True) targets = ref_2q_clifford.cx_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_cx_gate_nondeterministic_minimal_basis_gates(self): """Test cx-gate gate circuits compiling to u3,cx""" shots = 2000 circuits = ref_2q_clifford.cx_gate_circuits_nondeterministic(final_measure=True) targets = ref_2q_clifford.cx_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test cz-gate # --------------------------------------------------------------------- def test_cz_gate_deterministic_minimal_basis_gates(self): """Test cz-gate gate circuits compiling to u3,cx""" shots = 100 circuits = ref_2q_clifford.cz_gate_circuits_deterministic(final_measure=True) targets = ref_2q_clifford.cz_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_cz_gate_nondeterministic_minimal_basis_gates(self): """Test cz-gate gate circuits compiling to u3,cx""" shots = 2000 circuits = ref_2q_clifford.cz_gate_circuits_nondeterministic(final_measure=True) targets = ref_2q_clifford.cz_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots) # --------------------------------------------------------------------- # Test swap-gate # --------------------------------------------------------------------- def test_swap_gate_deterministic_minimal_basis_gates(self): """Test swap-gate gate circuits compiling to u3,cx""" shots = 100 circuits = ref_2q_clifford.swap_gate_circuits_deterministic(final_measure=True) targets = ref_2q_clifford.swap_gate_counts_deterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0) def test_swap_gate_nondeterministic_minimal_basis_gates(self): """Test swap-gate gate circuits compiling to u3,cx""" shots = 2000 circuits = ref_2q_clifford.swap_gate_circuits_nondeterministic(final_measure=True) targets = ref_2q_clifford.swap_gate_counts_nondeterministic(shots) qobj = compile(circuits, self.SIMULATOR, shots=shots, basis_gates=['u3', 'cx']) result = self.SIMULATOR.run(qobj, backend_options=self.BACKEND_OPTS).result() self.is_completed(result) self.compare_counts(result, circuits, targets, delta=0.05 * shots)

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false

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1

0

null

0

7

bf00955962ddd0b1d17a6e7d7f1225b9e953f776

239

py

Python

program/cpu.py

Filipe-Barbos/Projeto-Watch-Dogs

100254404219112779725fdc93be7900c6d9a078

[ "MIT" ]

null

program/cpu.py

Filipe-Barbos/Projeto-Watch-Dogs

100254404219112779725fdc93be7900c6d9a078

[ "MIT" ]

null

program/cpu.py

Filipe-Barbos/Projeto-Watch-Dogs

100254404219112779725fdc93be7900c6d9a078

[ "MIT" ]

null

import psutil def freq(): return round(psutil.cpu_freq().current/1000, 1) def cores(): return psutil.cpu_count() def phyCores(): return psutil.cpu_count(logical=False) def percentage(): return psutil.cpu_times_percent(interval=1)

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0.117155

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Python

data_structures/graphs/tests/test_adjacency_map_directed_weighted_graph.py

vinta/fuck-coding-interviews

915ff55963430e81134a35f65f511e5684c52f11

[ "MIT" ]

590

2020-06-17T08:26:47.000Z

2022-03-30T18:47:32.000Z

data_structures/graphs/tests/test_adjacency_map_directed_weighted_graph.py

parvathirajan/fuck-coding-interviews

915ff55963430e81134a35f65f511e5684c52f11

[ "MIT" ]

12

2020-07-14T09:24:32.000Z

2020-11-02T03:43:47.000Z

data_structures/graphs/tests/test_adjacency_map_directed_weighted_graph.py

parvathirajan/fuck-coding-interviews

915ff55963430e81134a35f65f511e5684c52f11

[ "MIT" ]

75

2020-07-29T06:50:13.000Z

2022-03-13T16:14:57.000Z

# coding: utf-8 import unittest from data_structures.graphs.adjacency_map_directed_weighted_graph import DirectedGraph class TestCase(unittest.TestCase): def setUp(self): self.graph = DirectedGraph() self.edges = [ # (source, destination, weight) ('A', 'B', 1), ('A', 'C', 1), ('B', 'C', 1), ('B', 'D', 1), ('B', 'I', 1), ('C', 'D', 1), ('D', 'C', 1), ('D', 'H', 1), ('H', 'I', 1), ('E', 'A', 1), ('E', 'F', 1), ('F', 'C', 1), ('F', 'G', 1), ] self.vertices = set() for source, destination, weight in self.edges: self.vertices.add(source) self.vertices.add(destination) self.graph.add_vertex(source, value=source) self.graph.add_vertex(destination, value=destination) self.graph.add_edge(source, destination, weight) def test_add_vertex(self): self.graph.add_vertex('X') self.assertEqual(self.graph.vertex_count(), len(self.vertices) + 1) def test_add_edge(self): self.graph.add_vertex('X', value='X') self.graph.add_vertex('Y', value='Y') self.graph.add_edge('X', 'Y', 0) self.assertEqual(self.graph.vertex_count(), len(self.vertices) + 2) self.assertEqual(self.graph.edge_count(), len(self.edges) + 1) def test_remove_vertex(self): self.graph.remove_vertex('C') self.assertEqual(self.graph.vertex_count(), len(self.vertices) - 1) edge_count = 0 for source, destination, _ in self.edges: if not source == 'C' and not destination == 'C': edge_count += 1 self.assertEqual(self.graph.edge_count(), edge_count) def test_remove_edge(self): self.graph.remove_edge('A', 'B') self.assertEqual(self.graph.edge_count(), len(self.edges) - 1) with self.assertRaises(ValueError): self.graph.remove_edge('Z', 'Z') def test_vertex_count(self): self.assertEqual(self.graph.vertex_count(), len(self.vertices)) def test_edge_count(self): self.assertEqual(self.graph.edge_count(), len(self.edges)) def test_vertices(self): self.assertCountEqual(self.graph.vertices(), self.vertices) def test_edges(self): self.assertCountEqual(self.graph.edges(), self.edges) def test_incident_edges(self): vertex = 'A' outgoing_edges = [edge for edge in self.edges if edge[0] == vertex] self.assertCountEqual(self.graph.incident_edges(vertex, edge_type='outgoing'), outgoing_edges) incoming_edges = [edge for edge in self.edges if edge[1] == vertex] self.assertCountEqual(self.graph.incident_edges(vertex, edge_type='incoming'), incoming_edges) self.assertCountEqual(self.graph.incident_edges('NOT EXIST', edge_type='outgoing'), []) self.assertCountEqual(self.graph.incident_edges('NOT EXIST', edge_type='incoming'), []) def test_edge_weight(self): for source, destination, weight in self.edges: self.assertEqual(self.graph.edge_weight(source, destination), weight) with self.assertRaises(ValueError): self.graph.edge_weight('NOT EXIST', 'NOT EXIST') def test_breadth_first_search(self): v = 'A' visited = self.graph.breadth_first_search(v) self.assertCountEqual(visited, ['A', 'B', 'C', 'D', 'H', 'I']) v = 'E' visited = self.graph.breadth_first_search(v) self.assertCountEqual(visited, ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I']) def test_depth_first_search(self): v = 'A' visited = self.graph.depth_first_search(v) self.assertCountEqual(visited, ['A', 'B', 'C', 'D', 'H', 'I']) v = 'E' visited = self.graph.depth_first_search(v) self.assertCountEqual(visited, ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I']) def test_has_cycles_dfs(self): self.assertEqual(self.graph.has_cycles_dfs(), True) graph = DirectedGraph() edges = [ ('A', 'A', 1), ] for src, des, weight in edges: graph.add_edge(src, des, weight) self.assertEqual(graph.has_cycles_dfs(), True) graph = DirectedGraph() edges = [ ('A', 'B', 1), ('B', 'C', 1), ] for src, des, weight in edges: graph.add_edge(src, des, weight) self.assertEqual(graph.has_cycles_dfs(), False) def test_find_shortest_paths_bfs(self): graph = DirectedGraph() edges = [ # https://www.geeksforgeeks.org/shortest-path-unweighted-graph/ (0, 1, 1), (0, 3, 1), (1, 0, 1), (1, 2, 1), (2, 1, 1), (3, 0, 1), (3, 4, 1), (3, 7, 1), (4, 3, 1), (4, 5, 1), (4, 6, 1), (4, 7, 1), (5, 4, 1), (5, 6, 1), (6, 4, 1), (6, 5, 1), (6, 7, 1), (7, 3, 1), (7, 4, 1), (7, 6, 1), ] for src, des, weight in edges: graph.add_edge(src, des, weight) previous, distances = graph.find_shortest_paths_bfs(0) path = graph.construct_path(previous, 0, 5) self.assertEqual(path, [0, 3, 4, 5]) path = graph.construct_path(previous, 0, 7) self.assertEqual(path, [0, 3, 7]) # No such path. with self.assertRaises(ValueError): graph.construct_path(previous, 0, 10) def test_find_shortest_path_dijkstra(self): graph = DirectedGraph() edges = [ # https://cs.stackexchange.com/questions/18138/dijkstra-algorithm-vs-breadth-first-search-for-shortest-path-in-graph ('A', 'B', 1), ('B', 'C', 3), ('B', 'D', 2), ('B', 'E', 1), ('C', 'E', 4), ('D', 'E', 2), ('E', 'F', 3), ('G', 'D', 1), ] for src, des, weight in edges: graph.add_edge(src, des, weight) previous, distances = graph.find_shortest_path_dijkstra('A') path = graph.construct_path(previous, 'A', 'D') self.assertEqual(path, ['A', 'B', 'D']) path = graph.construct_path(previous, 'A', 'E') self.assertEqual(path, ['A', 'B', 'E']) path = graph.construct_path(previous, 'A', 'F') self.assertEqual(path, ['A', 'B', 'E', 'F']) # No such path. with self.assertRaises(ValueError): graph.construct_path(previous, 'A', 'G') graph = DirectedGraph() edges = [ # https://www.youtube.com/watch?v=pVfj6mxhdMw ('A', 'B', 6), ('A', 'D', 1), ('B', 'A', 6), ('B', 'C', 5), ('B', 'D', 2), ('B', 'E', 2), ('C', 'B', 5), ('C', 'E', 5), ('D', 'A', 1), ('D', 'B', 2), ('D', 'E', 1), ('E', 'B', 2), ('E', 'C', 5), ('E', 'D', 1), ] for src, des, weight in edges: graph.add_edge(src, des, weight) previous, distances = graph.find_shortest_path_dijkstra('A') path = graph.construct_path(previous, 'A', 'B') self.assertEqual(path, ['A', 'D', 'B']) path = graph.construct_path(previous, 'A', 'C') self.assertEqual(path, ['A', 'D', 'E', 'C']) path = graph.construct_path(previous, 'A', 'D') self.assertEqual(path, ['A', 'D']) path = graph.construct_path(previous, 'A', 'E') self.assertEqual(path, ['A', 'D', 'E']) graph = DirectedGraph() edges = [ # https://www.chegg.com/homework-help/questions-and-answers/8-4-14-10-2-figure-2-directed-graph-computing-shortest-path-3-dijkstra-s-algorithm-computi-q25960616#question-transcript ('A', 'B', 4), ('B', 'C', 11), ('B', 'D', 9), ('C', 'A', 8), ('D', 'C', 7), ('D', 'E', 2), ('D', 'F', 6), ('E', 'B', 8), ('E', 'G', 7), ('E', 'H', 4), ('F', 'C', 1), ('F', 'E', 5), ('G', 'H', 14), ('G', 'I', 9), ('H', 'F', 2), ('H', 'I', 10), ] for src, des, weight in edges: graph.add_edge(src, des, weight) previous, distances = graph.find_shortest_path_dijkstra('A') path = graph.construct_path(previous, 'A', 'I') self.assertEqual(path, ['A', 'B', 'D', 'E', 'H', 'I']) previous, distances = graph.find_shortest_path_dijkstra('E') path = graph.construct_path(previous, 'E', 'C') self.assertEqual(path, ['E', 'H', 'F', 'C']) previous, distances = graph.find_shortest_path_dijkstra('I') # No such path. with self.assertRaises(ValueError): graph.construct_path(previous, 'I', 'A') graph = DirectedGraph() edges = [ # https://www.bogotobogo.com/python/python_Prims_Spanning_Tree_Data_Structure.php ('A', 'B', 7), ('A', 'C', 9), ('A', 'F', 14), ('B', 'A', 7), ('B', 'C', 10), ('B', 'D', 15), ('C', 'A', 9), ('C', 'B', 10), ('C', 'D', 11), ('C', 'F', 2), ('D', 'B', 15), ('D', 'C', 11), ('D', 'E', 6), ('E', 'D', 6), ('E', 'F', 9), ('F', 'A', 14), ('F', 'C', 2), ('F', 'E', 9), ] for src, des, weight in edges: graph.add_edge(src, des, weight) previous, distances = graph.find_shortest_path_dijkstra('A') path = graph.construct_path(previous, 'A', 'E') self.assertEqual(path, ['A', 'C', 'F', 'E']) path = graph.construct_path(previous, 'A', 'D') self.assertEqual(path, ['A', 'C', 'D']) graph = DirectedGraph() adj_list = { # https://adityakamath.com/2018/06/17/Dijktra%27s-Algorithm-In-Python.html 'S': {'A': 7, 'B': 2, 'C': 3}, 'A': {'S': 7, 'B': 3, 'D': 4}, 'B': {'S': 2, 'A': 3, 'D': 4, 'H': 1, 'C': 12}, 'C': {'S': 3, 'L': 2}, 'D': {'A': 4, 'B': 4, 'F': 5}, 'E': {'G': 2, 'K': 5}, 'F': {'D': 5, 'H': 3}, 'G': {'H': 2, 'I': 10, 'E': 2}, 'H': {'B': 1, 'F': 3, 'G': 2}, 'I': {'J': 6, 'K': 4, 'L': 4}, 'J': {'K': 4, 'L': 4}, 'K': {'I': 4, 'J': 4, 'E': 5}, 'L': {'C': 2, 'I': 4, 'J': 4}, } for src, neighbors in adj_list.items(): for des, weight in neighbors.items(): graph.add_edge(src, des, weight) previous, distances = graph.find_shortest_path_dijkstra('S') path = graph.construct_path(previous, 'S', 'E') self.assertEqual(path, ['S', 'B', 'H', 'G', 'E']) def test_find_shortest_path_bellman_ford(self): graph = DirectedGraph() edges = [ # https://www.programiz.com/dsa/bellman-ford-algorithm ('A', 'B', 2), ('B', 'C', 2), ('B', 'D', 1), ('C', 'D', -4), ('D', 'B', 1), ('D', 'E', 3), ] for src, des, weight in edges: graph.add_edge(src, des, weight) # There is a negative weight cycle among {B, C, D}. with self.assertRaises(ValueError): previous, distances = graph.find_shortest_path_bellman_ford('A') graph = DirectedGraph() edges = [ # https://www.programiz.com/dsa/bellman-ford-algorithm ('A', 'B', 4), ('A', 'C', 2), ('B', 'C', 3), ('B', 'D', 2), ('B', 'E', 4), ('C', 'B', 1), ('C', 'D', 3), ('C', 'E', 5), ('E', 'D', -5), ] for src, des, weight in edges: graph.add_edge(src, des, weight) previous, distances = graph.find_shortest_path_bellman_ford('A') path = graph.construct_path(previous, 'A', 'A') self.assertEqual(path, ['A', ]) path = graph.construct_path(previous, 'A', 'B') self.assertEqual(path, ['A', 'C', 'B']) path = graph.construct_path(previous, 'A', 'C') self.assertEqual(path, ['A', 'C']) path = graph.construct_path(previous, 'A', 'D') self.assertEqual(path, ['A', 'C', 'E', 'D']) path = graph.construct_path(previous, 'A', 'E') self.assertEqual(path, ['A', 'C', 'E']) previous, distances = graph.find_shortest_path_bellman_ford('D') # No such path. with self.assertRaises(ValueError): graph.construct_path(previous, 'D', 'E') graph = DirectedGraph() edges = [ # https://cs.stackexchange.com/questions/18138/dijkstra-algorithm-vs-breadth-first-search-for-shortest-path-in-graph ('A', 'B', 1), ('B', 'C', 1), ('B', 'D', 1), ('B', 'E', 1), ('C', 'E', 1), ('D', 'E', 1), ('E', 'F', 1), ('G', 'D', 1), ] for src, des, weight in edges: graph.add_edge(src, des, weight) previous, distances = graph.find_shortest_path_bellman_ford('A') path = graph.construct_path(previous, 'A', 'E') self.assertEqual(path, ['A', 'B', 'E']) path = graph.construct_path(previous, 'A', 'D') self.assertEqual(path, ['A', 'B', 'D']) # No such path. with self.assertRaises(ValueError): graph.construct_path(previous, 'A', 'G') graph = DirectedGraph() edges = [ # https://www.youtube.com/watch?v=pVfj6mxhdMw ('A', 'B', 6), ('A', 'D', 1), ('B', 'A', 6), ('B', 'C', 5), ('B', 'D', 2), ('B', 'E', 2), ('C', 'B', 5), ('C', 'E', 5), ('D', 'A', 1), ('D', 'B', 2), ('D', 'E', 1), ('E', 'B', 2), ('E', 'C', 5), ('E', 'D', 1), ] for src, des, weight in edges: graph.add_edge(src, des, weight) previous, distances = graph.find_shortest_path_bellman_ford('A') path = graph.construct_path(previous, 'A', 'C') self.assertEqual(path, ['A', 'D', 'E', 'C']) graph = DirectedGraph() edges = [ # https://www.chegg.com/homework-help/questions-and-answers/8-4-14-10-2-figure-2-directed-graph-computing-shortest-path-3-dijkstra-s-algorithm-computi-q25960616#question-transcript ('A', 'B', 4), ('B', 'C', 11), ('B', 'D', 9), ('C', 'A', 8), ('D', 'C', 7), ('D', 'E', 2), ('D', 'F', 6), ('E', 'B', 8), ('E', 'G', 7), ('E', 'H', 4), ('F', 'C', 1), ('F', 'E', 5), ('G', 'H', 14), ('G', 'I', 9), ('H', 'F', 2), ('H', 'I', 10), ] for src, des, weight in edges: graph.add_edge(src, des, weight) previous, distances = graph.find_shortest_path_bellman_ford('A') path = graph.construct_path(previous, 'A', 'I') self.assertEqual(path, ['A', 'B', 'D', 'E', 'H', 'I']) previous, distances = graph.find_shortest_path_bellman_ford('E') path = graph.construct_path(previous, 'E', 'C') self.assertEqual(path, ['E', 'H', 'F', 'C']) previous, distances = graph.find_shortest_path_bellman_ford('I') # No such path. with self.assertRaises(ValueError): graph.construct_path(previous, 'I', 'A') graph = DirectedGraph() edges = [ # https://www.bogotobogo.com/python/python_Prims_Spanning_Tree_Data_Structure.php ('A', 'B', 7), ('A', 'C', 9), ('A', 'F', 14), ('B', 'A', 7), ('B', 'C', 10), ('B', 'D', 15), ('C', 'A', 9), ('C', 'B', 10), ('C', 'D', 11), ('C', 'F', 2), ('D', 'B', 15), ('D', 'C', 11), ('D', 'E', 6), ('E', 'D', 6), ('E', 'F', 9), ('F', 'A', 14), ('F', 'C', 2), ('F', 'E', 9), ] for src, des, weight in edges: graph.add_edge(src, des, weight) previous, distances = graph.find_shortest_path_bellman_ford('A') path = graph.construct_path(previous, 'A', 'E') self.assertEqual(path, ['A', 'C', 'F', 'E']) path = graph.construct_path(previous, 'A', 'D') self.assertEqual(path, ['A', 'C', 'D']) def test_find_minimum_spanning_tree_prim_jarnik(self): graph = DirectedGraph() edges = [ # https://www.programiz.com/dsa/spanning-tree-and-minimum-spanning-tree ('A', 'B', 1), ('A', 'D', 1), ('B', 'A', 1), ('B', 'C', 1), ('C', 'B', 1), ('C', 'D', 1), ('D', 'A', 1), ('D', 'C', 1), ] for src, des, weight in edges: graph.add_edge(src, des, weight) tree_edges = graph.find_minimum_spanning_tree_prim_jarnik('A') total_weights = sum(edge[2] for edge in tree_edges) self.assertEqual(total_weights, 3) graph = DirectedGraph() edges = [ # https://en.wikipedia.org/wiki/Minimum_spanning_tree ('A', 'B', 1), ('A', 'D', 4), ('A', 'E', 3), ('B', 'A', 1), ('B', 'D', 4), ('B', 'E', 2), ('C', 'E', 4), ('C', 'F', 5), ('D', 'A', 4), ('D', 'B', 4), ('D', 'E', 4), ('E', 'A', 3), ('E', 'B', 2), ('E', 'C', 4), ('E', 'D', 4), ('E', 'F', 7), ('F', 'C', 5), ('F', 'E', 7), ] for src, des, weight in edges: graph.add_edge(src, des, weight) tree_edges = graph.find_minimum_spanning_tree_prim_jarnik('A') total_weights = sum(edge[2] for edge in tree_edges) self.assertEqual(total_weights, 16) graph = DirectedGraph() edges = [ # http://dev.tutorialspoint.com/design_and_analysis_of_algorithms/design_and_analysis_of_algorithms_quick_guide.htm (1, 2, 5), (1, 3, 2), (2, 1, 5), (2, 3, 2), (2, 4, 3), (2, 5, 7), (3, 1, 2), (3, 2, 2), (3, 4, 3), (3, 7, 9), (4, 2, 3), (4, 3, 3), (4, 5, 2), (4, 7, 6), (5, 2, 7), (5, 4, 2), (5, 6, 8), (5, 7, 5), (5, 8, 7), (6, 5, 8), (6, 8, 3), (6, 9, 4), (7, 3, 9), (7, 4, 6), (7, 5, 5), (7, 8, 2), (8, 5, 7), (8, 6, 3), (8, 7, 2), (9, 6, 4), ] for src, des, weight in edges: graph.add_edge(src, des, weight) tree_edges = graph.find_minimum_spanning_tree_prim_jarnik(1) total_weights = sum(edge[2] for edge in tree_edges) self.assertEqual(total_weights, 23) def test_find_minimum_spanning_tree_kruskal(self): graph = DirectedGraph() edges = [ # https://www.programiz.com/dsa/spanning-tree-and-minimum-spanning-tree ('A', 'B', 1), ('A', 'D', 1), ('B', 'A', 1), ('B', 'C', 1), ('C', 'B', 1), ('C', 'D', 1), ('D', 'A', 1), ('D', 'C', 1), ] for src, des, weight in edges: graph.add_edge(src, des, weight) tree_edges = graph.find_minimum_spanning_tree_kruskal('A') total_weights = sum(edge[2] for edge in tree_edges) self.assertEqual(total_weights, 3) graph = DirectedGraph() edges = [ # https://en.wikipedia.org/wiki/Minimum_spanning_tree ('A', 'B', 1), ('A', 'D', 4), ('A', 'E', 3), ('B', 'A', 1), ('B', 'D', 4), ('B', 'E', 2), ('C', 'E', 4), ('C', 'F', 5), ('D', 'A', 4), ('D', 'B', 4), ('D', 'E', 4), ('E', 'A', 3), ('E', 'B', 2), ('E', 'C', 4), ('E', 'D', 4), ('E', 'F', 7), ('F', 'C', 5), ('F', 'E', 7), ] for src, des, weight in edges: graph.add_edge(src, des, weight) tree_edges = graph.find_minimum_spanning_tree_kruskal('A') total_weights = sum(edge[2] for edge in tree_edges) self.assertEqual(total_weights, 16) graph = DirectedGraph() edges = [ # http://dev.tutorialspoint.com/design_and_analysis_of_algorithms/design_and_analysis_of_algorithms_quick_guide.htm (1, 2, 5), (1, 3, 2), (2, 1, 5), (2, 3, 2), (2, 4, 3), (2, 5, 7), (3, 1, 2), (3, 2, 2), (3, 4, 3), (3, 7, 9), (4, 2, 3), (4, 3, 3), (4, 5, 2), (4, 7, 6), (5, 2, 7), (5, 4, 2), (5, 6, 8), (5, 7, 5), (5, 8, 7), (6, 5, 8), (6, 8, 3), (6, 9, 4), (7, 3, 9), (7, 4, 6), (7, 5, 5), (7, 8, 2), (8, 5, 7), (8, 6, 3), (8, 7, 2), (9, 6, 4), ] for src, des, weight in edges: graph.add_edge(src, des, weight) tree_edges = graph.find_minimum_spanning_tree_kruskal(1) total_weights = sum(edge[2] for edge in tree_edges) self.assertEqual(total_weights, 23) if __name__ == '__main__': unittest.main()

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null

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17323e85d711640b85587fb98bad121ac34e5af3

306

py

Python

Python/branching.py

MichaelSDavid/TwilioQuest-Code

7dcdf6b11b27831a1c07896d0796757e379189cf

[ "MIT" ]

null

Python/branching.py

MichaelSDavid/TwilioQuest-Code

7dcdf6b11b27831a1c07896d0796757e379189cf

[ "MIT" ]

5

2020-07-27T15:42:52.000Z

2020-07-27T15:59:26.000Z

Python/branching.py

MichaelSDavid/TwilioQuest-Code

7dcdf6b11b27831a1c07896d0796757e379189cf

[ "MIT" ]

null

import sys if (int(sys.argv[1]) + int(sys.argv[2])) > 100: print("You have chosen the path of excess.") elif 1 < (int(sys.argv[1]) + int(sys.argv[2])) <= 100: print("You have chosen the path of plenty.") elif (int(sys.argv[1]) + int(sys.argv[2])) <= 0: print("You have chosen the path of destitution.")

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bd88def33b25e990d220e1155d1125b63c7555b7

8,373

py

Python

models/resnet.py

lionelmessi6410/ntga

0bc73087ec8c0a3601e5561603dcf439716d4646

[ "Apache-2.0" ]

25

2021-05-26T05:52:24.000Z

2022-02-10T23:54:55.000Z

models/resnet.py

lionelmessi6410/Neural-Tangent-Generalization-Attacks

0bc73087ec8c0a3601e5561603dcf439716d4646

[ "Apache-2.0" ]

1

2022-02-09T05:54:06.000Z

2022-02-17T17:07:17.000Z

models/resnet.py

lionelmessi6410/Neural-Tangent-Generalization-Attacks

0bc73087ec8c0a3601e5561603dcf439716d4646

[ "Apache-2.0" ]

1

2021-10-02T05:14:09.000Z

import tensorflow as tf from models.residual_block import make_basic_block_layer, make_bottleneck_layer class ResNetTypeISmall(tf.keras.Model): def __init__(self, num_classes, layer_params): super(ResNetTypeISmall, self).__init__() self.conv1 = tf.keras.layers.Conv2D(filters=64, kernel_size=(3, 3), strides=1, padding="same") self.bn1 = tf.keras.layers.BatchNormalization() self.layer1 = make_basic_block_layer(filter_num=64, blocks=layer_params[0]) self.layer2 = make_basic_block_layer(filter_num=128, blocks=layer_params[1], stride=2) self.layer3 = make_basic_block_layer(filter_num=256, blocks=layer_params[2], stride=2) self.layer4 = make_basic_block_layer(filter_num=512, blocks=layer_params[3], stride=2) self.avgpool = tf.keras.layers.GlobalAveragePooling2D() self.fc = tf.keras.layers.Dense(units=num_classes, activation=tf.keras.activations.softmax) def call(self, inputs, training=None, mask=None): x = self.conv1(inputs) x = self.bn1(x, training=training) x = tf.nn.relu(x) x = self.layer1(x, training=training) x = self.layer2(x, training=training) x = self.layer3(x, training=training) x = self.layer4(x, training=training) x = self.avgpool(x) output = self.fc(x) return output class ResNetTypeI(tf.keras.Model): def __init__(self, num_classes, layer_params): super(ResNetTypeI, self).__init__() self.conv1 = tf.keras.layers.Conv2D(filters=64, kernel_size=(7, 7), strides=2, padding="same") self.bn1 = tf.keras.layers.BatchNormalization() self.pool1 = tf.keras.layers.MaxPool2D(pool_size=(3, 3), strides=2, padding="same") self.layer1 = make_basic_block_layer(filter_num=64, blocks=layer_params[0]) self.layer2 = make_basic_block_layer(filter_num=128, blocks=layer_params[1], stride=2) self.layer3 = make_basic_block_layer(filter_num=256, blocks=layer_params[2], stride=2) self.layer4 = make_basic_block_layer(filter_num=512, blocks=layer_params[3], stride=2) self.avgpool = tf.keras.layers.GlobalAveragePooling2D() self.fc = tf.keras.layers.Dense(units=num_classes, activation=tf.keras.activations.softmax) def call(self, inputs, training=None, mask=None): x = self.conv1(inputs) x = self.bn1(x, training=training) x = tf.nn.relu(x) x = self.pool1(x) x = self.layer1(x, training=training) x = self.layer2(x, training=training) x = self.layer3(x, training=training) x = self.layer4(x, training=training) x = self.avgpool(x) output = self.fc(x) return output class ResNetTypeIISmall(tf.keras.Model): def __init__(self, num_classes, layer_params): super(ResNetTypeIISmall, self).__init__() self.conv1 = tf.keras.layers.Conv2D(filters=64, kernel_size=(3, 3), strides=1, padding="same") self.bn1 = tf.keras.layers.BatchNormalization() self.layer1 = make_bottleneck_layer(filter_num=64, blocks=layer_params[0]) self.layer2 = make_bottleneck_layer(filter_num=128, blocks=layer_params[1], stride=2) self.layer3 = make_bottleneck_layer(filter_num=256, blocks=layer_params[2], stride=2) self.layer4 = make_bottleneck_layer(filter_num=512, blocks=layer_params[3], stride=2) self.avgpool = tf.keras.layers.GlobalAveragePooling2D() self.fc = tf.keras.layers.Dense(units=num_classes, activation=tf.keras.activations.softmax) def call(self, inputs, training=None, mask=None): x = self.conv1(inputs) x = self.bn1(x, training=training) x = tf.nn.relu(x) x = self.layer1(x, training=training) x = self.layer2(x, training=training) x = self.layer3(x, training=training) x = self.layer4(x, training=training) x = self.avgpool(x) output = self.fc(x) return output class ResNetTypeII(tf.keras.Model): def __init__(self, num_classes, layer_params): super(ResNetTypeII, self).__init__() self.conv1 = tf.keras.layers.Conv2D(filters=64, kernel_size=(7, 7), strides=2, padding="same") self.bn1 = tf.keras.layers.BatchNormalization() self.pool1 = tf.keras.layers.MaxPool2D(pool_size=(3, 3), strides=2, padding="same") self.layer1 = make_bottleneck_layer(filter_num=64, blocks=layer_params[0]) self.layer2 = make_bottleneck_layer(filter_num=128, blocks=layer_params[1], stride=2) self.layer3 = make_bottleneck_layer(filter_num=256, blocks=layer_params[2], stride=2) self.layer4 = make_bottleneck_layer(filter_num=512, blocks=layer_params[3], stride=2) self.avgpool = tf.keras.layers.GlobalAveragePooling2D() self.fc = tf.keras.layers.Dense(units=num_classes, activation=tf.keras.activations.softmax) def call(self, inputs, training=None, mask=None): x = self.conv1(inputs) x = self.bn1(x, training=training) x = tf.nn.relu(x) x = self.pool1(x) x = self.layer1(x, training=training) x = self.layer2(x, training=training) x = self.layer3(x, training=training) x = self.layer4(x, training=training) x = self.avgpool(x) output = self.fc(x) return output def ResNet18(input_shape, num_classes): if input_shape != (224, 224, 3): return ResNetTypeISmall(num_classes, layer_params=[2, 2, 2, 2]) return ResNetTypeI(num_classes, layer_params=[2, 2, 2, 2]) def ResNet34(input_shape, num_classes): if input_shape != (224, 224, 3): return ResNetTypeISmall(num_classes, layer_params=[3, 4, 6, 3]) return ResNetTypeI(num_classes, layer_params=[3, 4, 6, 3]) def ResNet50(input_shape, num_classes): if input_shape != (224, 224, 3): return ResNetTypeIISmall(num_classes, layer_params=[3, 4, 6, 3]) return ResNetTypeII(num_classes, layer_params=[3, 4, 6, 3]) def ResNet101(input_shape, num_classes): if input_shape != (224, 224, 3): return ResNetTypeIISmall(num_classes, layer_params=[3, 4, 23, 3]) return ResNetTypeII(num_classes, layer_params=[3, 4, 23, 3]) def ResNet152(input_shape, num_classes): if input_shape != (224, 224, 3): return ResNetTypeIISmall(num_classes, layer_params=[3, 8, 36, 3]) return ResNetTypeII(num_classes, layer_params=[3, 8, 36, 3])

46.005495

99

0.518213

896

8,373

4.660714

0.098214

0.079023

0.081418

0.086207

0.938937

0.932232

0.912596

0.881944

0

0.048606

0.383256

8,373

181

100

46.259669

0.76007

0

0.841772

0

0.002866

0

1

0.082278

false

0

0.012658

0

0.208861

0

null

0

1

0

1

0

null

0

7

bdf93c9edab05f83fd19e618f5f9c4599f080261

707

py

Python

temp/test.py

HiPeople21/Terminwind

e84add2eb5e08b9d7c792cda6e2f96f17e6e35ef

[ "MIT" ]

null

temp/test.py

HiPeople21/Terminwind

e84add2eb5e08b9d7c792cda6e2f96f17e6e35ef

[ "MIT" ]

null

temp/test.py

HiPeople21/Terminwind

e84add2eb5e08b9d7c792cda6e2f96f17e6e35ef

[ "MIT" ]

null

import time import aiofile async def main(): now = time.perf_counter() with open("./temp/f.py", "r") as f: g = f.read() print(time.perf_counter() - now) now = time.perf_counter() with open("./temp/f.py", "r") as f: g = "" for i in f: g += i print(time.perf_counter() - now) now = time.perf_counter() async with aiofile.async_open("./temp/f.py", "r") as f: g = await f.read() print(time.perf_counter() - now) now = time.perf_counter() async with aiofile.async_open("./temp/f.py", "r") as f: async for i in f: g += i print(time.perf_counter() - now) import asyncio asyncio.run(main())

19.108108

59

0.547383

107

707

3.523364

0.233645

0.169761

0.318302

0.190981

0.809019

0.806366

0

0.289958

707

36

60

19.638889

0.750996

0

0.583333

0

0.067893

0

1

0

false

0

0.125

0

0.125

0.166667

0

null

0

1

0

null

0

8

bdff6628f31ce8af58102e55dec6af2def61db13

51,529

py

Python

monk/system/imports.py

gstearmit/monk_v1

89184ae27dc6d134620034d5b12aa86473ea47ba

[ "Apache-2.0" ]

null

monk/system/imports.py

gstearmit/monk_v1

89184ae27dc6d134620034d5b12aa86473ea47ba

[ "Apache-2.0" ]

9

2020-01-28T21:40:39.000Z

2022-02-10T01:24:06.000Z

monk/system/imports.py

abhi-kumar/monk_kaggle_bengali_ai

12a6c654446e887706c1a8bed82fccf8a98ce356

[ "Apache-2.0" ]

1

2020-10-07T12:57:44.000Z

import os import sys import shutil import json import pandas as pd import numpy as np import logging import datetime import functools import inspect import string import warnings from pylg import TraceFunction from pylg import trace class ArgumentValidationError(ValueError): ''' Raised when the type of an argument to a function is not what it should be. ''' def __init__(self, arg_num, func_name, accepted_arg_type, given_arg_type, list_type): if(list_type): self.error = 'The {0} argument of {1}() is not in the list {2}, but is {3}'.format(arg_num, func_name, accepted_arg_type, given_arg_type) else: self.error = 'The {0} argument of {1}() is not a {2}, but is {3}'.format(arg_num, func_name, accepted_arg_type, given_arg_type) def __str__(self): return self.error class InvalidArgumentNumberError(ValueError): ''' Raised when the number of arguments supplied to a function is incorrect. Note that this check is only performed from the number of arguments specified in the validate_accept() decorator. If the validate_accept() call is incorrect, it is possible to have a valid function where this will report a false validation. ''' def __init__(self, func_name): self.error = 'Invalid number of arguments for {0}()'.format(func_name) def __str__(self): return self.error class InvalidReturnType(ValueError): ''' As the name implies, the return value is the wrong type. ''' def __init__(self, return_type, func_name): self.error = 'Invalid return type {0} for {1}()'.format(return_type, func_name) def __str__(self): return self.error def ordinal(num): ''' Returns the ordinal number of a given integer, as a string. eg. 1 -> 1st, 2 -> 2nd, 3 -> 3rd, etc. ''' if 10 <= num % 100 < 20: return '{0}th'.format(num) else: ord = {1 : 'st', 2 : 'nd', 3 : 'rd'}.get(num % 10, 'th') return '{0}{1}'.format(num, ord) def accepts(*accepted_arg_types, **accepted_arg_dicts): ''' A decorator to validate the parameter types of a given function. It is passed a tuple of types. eg. (<type 'tuple'>, <type 'int'>) Note: It doesn't do a deep check, for example checking through a tuple of types. The argument passed must only be types. ''' def accept_decorator(validate_function): # Check if the number of arguments to the validator # function is the same as the arguments provided # to the actual function to validate. We don't need # to check if the function to validate has the right # amount of arguments, as Python will do this # automatically (also with a TypeError). @functools.wraps(validate_function) def decorator_wrapper(*function_args, **function_args_dicts): if len(accepted_arg_types) is not len(accepted_arg_types): raise InvalidArgumentNumberError(validate_function.__name__) # We're using enumerate to get the index, so we can pass the # argument number with the incorrect type to ArgumentValidationError. i = 0; for arg_num, (actual_arg, accepted_arg_type) in enumerate(zip(function_args, accepted_arg_types)): if(accepted_arg_type=="self"): continue; if(type(accepted_arg_type)) == list: if type(actual_arg) not in accepted_arg_type: ord_num = ordinal(arg_num + 1) if(accepted_arg_dicts["post_trace"]): raise ArgumentValidationError(ord_num, validate_function.function.function.__name__, accepted_arg_type, type(actual_arg), True) else: raise ArgumentValidationError(ord_num, validate_function.__name__, accepted_arg_type, type(actual_arg), True) else: if not type(actual_arg) is accepted_arg_type: ord_num = ordinal(arg_num + 1) if(accepted_arg_dicts["post_trace"]): raise ArgumentValidationError(ord_num, validate_function.function.function.__name__, accepted_arg_type, type(actual_arg), False) else: raise ArgumentValidationError(ord_num, validate_function.__name__, accepted_arg_type, type(actual_arg), False) i += 1; keys = list(function_args_dicts.keys()); for i in range(len(keys)): func_arg_type = type(function_args_dicts[keys[i]]); accepted_arg_type = accepted_arg_dicts[keys[i]]; if(type(accepted_arg_type) == list): if(func_arg_type not in accepted_arg_type): if(accepted_arg_dicts["post_trace"]): raise ArgumentValidationError(keys[i], validate_function.function.function.__name__, accepted_arg_type, func_arg_type, True) else: raise ArgumentValidationError(keys[i], validate_function.__name__, accepted_arg_type, func_arg_type, True) else: if(func_arg_type != accepted_arg_type): if(accepted_arg_dicts["post_trace"]): raise ArgumentValidationError(keys[i], validate_function.function.function.__name__, accepted_arg_type, func_arg_type, False) else: raise ArgumentValidationError(keys[i], validate_function.__name__, accepted_arg_type, func_arg_type, False) return validate_function(*function_args, **function_args_dicts) return decorator_wrapper return accept_decorator class ConstraintError(ValueError): ''' Raised when the type of an argument to a function is not what it should be. ''' def __init__(self, msg): self.error = msg def __str__(self): return self.error def ConstraintWarning(msg): warnings.warn(msg) def error_checks(*arg_constraints, **kwargs_constraints): def check_gte(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in [int, float]): if(actual_value < limit): msg += "Value expected to be greater than equal to \"{}\", but is \"{}\"".format(limit, actual_value); raise ConstraintError(msg); if(type(actual_value) in [list, tuple]): for i in range(len(actual_value)): if(actual_value[i] < limit): msg += "List's arg number \"{}\" expected to be greater than equal to \"{}\", but is \"{}\"".format(i+1, limit, actual_value[i]); raise ConstraintError(msg); def check_gt(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in [int, float]): if(actual_value <= limit): msg += "Value expected to be strictly greater than to \"{}\", but is \"{}\"".format(limit, actual_value); raise ConstraintError(msg); if(type(actual_value) in [list, tuple]): for i in range(len(actual_value)): if(actual_value[i] <= limit): msg += "List's arg number \"{}\" expected to be strictly greater than equal to \"{}\", but is \"{}\"".format(i+1, limit, actual_value[i]); raise ConstraintError(msg); def check_lte(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in [int, float]): if(actual_value > limit): msg += "Value expected to be less than equal to \"{}\", but is \"{}\"".format(limit, actual_value); raise ConstraintError(msg); if(type(actual_value) in [list, tuple]): for i in range(len(actual_value)): if(actual_value[i] > limit): msg += "List's arg number \"{}\" expected to be less than equal to \"{}\", but is \"{}\"".format(i+1, limit, actual_value[i]); raise ConstraintError(msg); def check_lt(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in [int, float]): if(actual_value >= limit): msg += "Value expected to be strictly less than to \"{}\", but is \"{}\"".format(limit, actual_value); raise ConstraintError(msg); if(type(actual_value) in [list, tuple]): for i in range(len(actual_value)): if(actual_value[i] >= limit): msg += "List's arg number \"{}\" expected to be strictly less than equal to \"{}\", but is \"{}\"".format(i+1, limit, actual_value[i]); raise ConstraintError(msg); def check_eq(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in [int, float, str, list, tuple]): if(actual_value != limit): msg += "Value expected to be strictly equal to \"{}\", but is \"{}\"".format(limit, actual_value); raise ConstraintError(msg); def check_neq(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in [int, float, str, list, tuple]): if(actual_value == limit): msg += "Value expected to be strictly not equal to \"{}\", but is \"{}\"".format(limit, actual_value); raise ConstraintError(msg); def check_in(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in list(map(type, limit))): if(actual_value not in limit): msg += "Value expected to be one among \"{}\", but is \"{}\"".format(limit, actual_value); raise ConstraintError(msg); def check_nin(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in list(map(type, limit))): if(actual_value in limit): msg += "Value expected to be anything except \"{}\", but is \"{}\"".format(limit, actual_value); raise ConstraintError(msg); def check_folder(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) == str): if(not os.path.isdir(actual_value)): msg = "Folder \"{}\" not found".format(actual_value) raise ConstraintError(msg); if(limit == "r"): if(not os.access(actual_value, os.R_OK)): msg = "Folder \"{}\" has no read access".format(actual_value) raise ConstraintError(msg); if(limit == "w"): if(not os.access(actual_value, os.W_OK)): msg = "Folder \"{}\" has no write access".format(actual_value) raise ConstraintError(msg); if(type(actual_value) == list): for i in range(len(actual_value)): if(not os.path.isdir(actual_value[i])): msg = "Folder \"{}\" not found".format(actual_value[i]) raise ConstraintError(msg); if(limit == "r"): if(not os.access(actual_value[i], os.R_OK)): msg = "Folder \"{}\" has no read access".format(actual_value[i]) raise ConstraintError(msg); if(limit == "w"): if(not os.access(actual_value[i], os.W_OK)): msg = "Folder \"{}\" has no write access".format(actual_value[i]) raise ConstraintError(msg); def check_file(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) == str): if(not os.path.isfile(actual_value)): msg = "File \"{}\" not found".format(actual_value) raise ConstraintError(msg); if(limit == "r"): if(not os.access(actual_value, os.R_OK)): msg = "File \"{}\" has no read access".format(actual_value) raise ConstraintError(msg); if(limit == "w"): if(not os.access(actual_value, os.W_OK)): msg = "File \"{}\" has no write access".format(actual_value) raise ConstraintError(msg); if(type(actual_value) == list): for i in range(len(actual_value)): if(not os.path.isfile(actual_value[i])): msg = "File \"{}\" not found".format(actual_value[i]) raise ConstraintError(msg); if(limit == "r"): if(not os.access(actual_value[i], os.R_OK)): msg = "File \"{}\" has no read access".format(actual_value[i]) raise ConstraintError(msg); if(limit == "w"): if(not os.access(actual_value[i], os.W_OK)): msg = "File \"{}\" has no write access".format(actual_value[i]) raise ConstraintError(msg); def check_inc(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) == list): if(sorted(actual_value) != actual_value): msg += "List expected to be incremental, but is \"{}\"".format(actual_value); raise ConstraintError(msg); def check_dec(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) == list): if(sorted(actual_value, reverse=True) != actual_value): msg += "List expected to be decremental, but is \"{}\"".format(actual_value); raise ConstraintError(msg); def check_name(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) == str): total_list = []; for i in range(len(limit)): if(limit[i] == "a-z"): total_list += list(string.ascii_lowercase) elif(limit[i] == "A-Z"): total_list += list(string.ascii_uppercase) elif(limit[i] == "0-9"): total_list += list(string.digits) else: total_list += limit[i]; actual_value = list(actual_value) for j in range(len(actual_value)): if(actual_value[j] not in total_list): msg += "Character \"{}\" not allowed as per constrains \"{}\"".format(actual_value[j], limit); raise ConstraintError(msg); def accept_decorator(validate_function): @functools.wraps(validate_function) def decorator_wrapper(*function_args, **function_args_dicts): if len(arg_constraints) is not len(function_args): raise InvalidArgumentNumberError(validate_function.__name__) if(kwargs_constraints["post_trace"]): function_name = validate_function.function.function.__name__; else: function_name = validate_function.__name__; for arg_num, (actual_arg, arg_constraint) in enumerate(zip(function_args, arg_constraints)): if(arg_constraint): for i in range(len(arg_constraint)//2): if(arg_constraint[i*2] == "gte"): check_gte(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "gt"): check_gt(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "lte"): check_lte(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "lt"): check_lt(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "eq"): check_eq(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "neq"): check_neq(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "in"): check_in(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "nin"): check_nin(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "folder"): check_folder(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "file"): check_file(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "inc"): check_inc(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "dec"): check_dec(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "name"): check_name(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); keys = list(function_args_dicts.keys()); for x in range(len(keys)): actual_arg = function_args_dicts[keys[x]]; arg_constraint = kwargs_constraints[keys[x]]; if(arg_constraint): for i in range(len(arg_constraint)//2): if(arg_constraint[i*2] == "gte"): check_gte(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "gt"): check_gt(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "lte"): check_lte(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "lt"): check_lt(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "eq"): check_eq(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "neq"): check_neq(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "in"): check_in(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "nin"): check_nin(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "folder"): check_folder(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "file"): check_file(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "inc"): check_inc(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "dec"): check_dec(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "name"): check_name(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); return validate_function(*function_args, **function_args_dicts) return decorator_wrapper return accept_decorator def warning_checks(*arg_constraints, **kwargs_constraints): def check_gte(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in [int, float]): if(actual_value < limit): msg += "Value expected to be greater than equal to \"{}\", but is \"{}\"".format(limit, actual_value); ConstraintWarning(msg); if(type(actual_value) in [list, tuple]): for i in range(len(actual_value)): if(actual_value[i] < limit): msg += "List's arg number \"{}\" expected to be greater than equal to \"{}\", but is \"{}\"".format(i+1, limit, actual_value[i]); ConstraintWarning(msg); def check_gt(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in [int, float]): if(actual_value <= limit): msg += "Value expected to be strictly greater than to \"{}\", but is \"{}\"".format(limit, actual_value); ConstraintWarning(msg); if(type(actual_value) in [list, tuple]): for i in range(len(actual_value)): if(actual_value[i] <= limit): msg += "List's arg number \"{}\" expected to be strictly greater than equal to \"{}\", but is \"{}\"".format(i+1, limit, actual_value[i]); ConstraintWarning(msg); def check_lte(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in [int, float]): if(actual_value > limit): msg += "Value expected to be less than equal to \"{}\", but is \"{}\"".format(limit, actual_value); ConstraintWarning(msg); if(type(actual_value) in [list, tuple]): for i in range(len(actual_value)): if(actual_value[i] > limit): msg += "List's arg number \"{}\" expected to be less than equal to \"{}\", but is \"{}\"".format(i+1, limit, actual_value[i]); ConstraintWarning(msg); def check_lt(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in [int, float]): if(actual_value >= limit): msg += "Value expected to be strictly less than to \"{}\", but is \"{}\"".format(limit, actual_value); ConstraintWarning(msg); if(type(actual_value) in [list, tuple]): for i in range(len(actual_value)): if(actual_value[i] >= limit): msg += "List's arg number \"{}\" expected to be strictly less than equal to \"{}\", but is \"{}\"".format(i+1, limit, actual_value[i]); ConstraintWarning(msg); def check_eq(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in [int, float, str, list, tuple]): if(actual_value != limit): msg += "Value expected to be strictly equal to \"{}\", but is \"{}\"".format(limit, actual_value); ConstraintWarning(msg); def check_neq(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in [int, float, str, list, tuple]): if(actual_value == limit): msg += "Value expected to be strictly not equal to \"{}\", but is \"{}\"".format(limit, actual_value); ConstraintWarning(msg); def check_in(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in list(map(type, limit))): if(actual_value not in limit): msg += "Value expected to be one among \"{}\", but is \"{}\"".format(limit, actual_value); ConstraintWarning(msg); def check_nin(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) in list(map(type, limit))): if(actual_value in limit): msg += "Value expected to be anything except \"{}\", but is \"{}\"".format(limit, actual_value); ConstraintWarning(msg); def check_folder(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) == str): if(not os.path.isdir(actual_value)): msg = "Folder \"{}\" not found".format(actual_value) ConstraintWarning(msg); if(limit == "r"): if(not os.access(actual_value, os.R_OK)): msg = "Folder \"{}\" has no read access".format(actual_value) ConstraintWarning(msg); if(limit == "w"): if(not os.access(actual_value, os.W_OK)): msg = "Folder \"{}\" has no write access".format(actual_value) ConstraintWarning(msg); if(type(actual_value) == list): for i in range(len(actual_value)): if(not os.path.isdir(actual_value[i])): msg = "Folder \"{}\" not found".format(actual_value[i]) ConstraintWarning(msg); if(limit == "r"): if(not os.access(actual_value[i], os.R_OK)): msg = "Folder \"{}\" has no read access".format(actual_value[i]) ConstraintWarning(msg); if(limit == "w"): if(not os.access(actual_value[i], os.W_OK)): msg = "Folder \"{}\" has no write access".format(actual_value[i]) ConstraintWarning(msg); def check_file(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) == str): if(not os.path.isdir(actual_value)): msg = "File \"{}\" not found".format(actual_value) ConstraintWarning(msg); if(limit == "r"): if(not os.access(actual_value, os.R_OK)): msg = "File \"{}\" has no read access".format(actual_value) ConstraintWarning(msg); if(limit == "w"): if(not os.access(actual_value, os.W_OK)): msg = "File \"{}\" has no write access".format(actual_value) ConstraintWarning(msg); if(type(actual_value) == list): for i in range(len(actual_value)): if(not os.path.isdir(actual_value[i])): msg = "File \"{}\" not found".format(actual_value[i]) ConstraintWarning(msg); if(limit == "r"): if(not os.access(actual_value[i], os.R_OK)): msg = "File \"{}\" has no read access".format(actual_value[i]) ConstraintWarning(msg); if(limit == "w"): if(not os.access(actual_value[i], os.W_OK)): msg = "File \"{}\" has no write access".format(actual_value[i]) ConstraintWarning(msg); def check_inc(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) == list): if(sorted(actual_value) != actual_value): msg += "List expected to be incremental, but is \"{}\"".format(actual_value); ConstraintWarning(msg); def check_dec(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) == list): if(sorted(actual_value, reverse=True) != actual_value): msg += "List expected to be decremental, but is \"{}\"".format(actual_value); ConstraintWarning(msg); def check_name(actual_value, limit, function_name, arg_num=None, arg_name=None): if(arg_num): arg = arg_num; msg = "Constraint Mismatch for argument number \"{}\" in function \"{}\".\n".format(arg, function_name); if(arg_name): arg = arg_name; msg = "Constraint Mismatch for argument name \"{}\" in function \"{}\".\n".format(arg, function_name); if(type(actual_value) == str): total_list = []; for i in range(len(limit)): if(limit[i] == "a-z"): total_list += list(string.ascii_lowercase) elif(limit[i] == "A-Z"): total_list += list(string.ascii_uppercase) elif(limit[i] == "0-9"): total_list += list(string.digits) else: total_list += limit[i]; actual_value = list(actual_value) for j in range(len(actual_value)): if(actual_value[j] not in total_list): msg += "Character \"{}\" not allowed as per constrains \"{}\"".format(actual_value[j], limit); ConstraintWarning(msg); def accept_decorator(validate_function): @functools.wraps(validate_function) def decorator_wrapper(*function_args, **function_args_dicts): if len(arg_constraints) is not len(function_args): raise InvalidArgumentNumberError(validate_function.__name__) if(kwargs_constraints["post_trace"]): function_name = validate_function.function.function.__name__; else: function_name = validate_function.__name__; for arg_num, (actual_arg, arg_constraint) in enumerate(zip(function_args, arg_constraints)): if(arg_constraint): for i in range(len(arg_constraint)//2): if(arg_constraint[i*2] == "gte"): check_gte(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "gt"): check_gt(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "lte"): check_lte(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "lt"): check_lt(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "eq"): check_eq(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "neq"): check_neq(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "in"): check_in(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "nin"): check_nin(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "folder"): check_folder(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "file"): check_file(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "inc"): check_inc(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "dec"): check_dec(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); if(arg_constraint[i*2] == "name"): check_name(actual_arg, arg_constraint[i*2+1], function_name, arg_num=arg_num+1); keys = list(function_args_dicts.keys()); for x in range(len(keys)): actual_arg = function_args_dicts[keys[x]]; arg_constraint = kwargs_constraints[keys[x]]; if(arg_constraint): for i in range(len(arg_constraint)//2): if(arg_constraint[i*2] == "gte"): check_gte(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "gt"): check_gt(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "lte"): check_lte(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "lt"): check_lt(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "eq"): check_eq(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "neq"): check_neq(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "in"): check_in(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "nin"): check_nin(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "folder"): check_folder(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "file"): check_file(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "inc"): check_inc(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "dec"): check_dec(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); if(arg_constraint[i*2] == "name"): check_name(actual_arg, arg_constraint[i*2+1], function_name, arg_name=keys[x]); return validate_function(*function_args, **function_args_dicts) return decorator_wrapper return accept_decorator """ def accepts(*accepted_arg_types, post_trace=False): ''' A decorator to validate the parameter types of a given function. It is passed a tuple of types. eg. (<type 'tuple'>, <type 'int'>) Note: It doesn't do a deep check, for example checking through a tuple of types. The argument passed must only be types. ''' def accept_decorator(validate_function): # Check if the number of arguments to the validator # function is the same as the arguments provided # to the actual function to validate. We don't need # to check if the function to validate has the right # amount of arguments, as Python will do this # automatically (also with a TypeError). @functools.wraps(validate_function) def decorator_wrapper(*function_args, **function_args_dict): if len(accepted_arg_types) is not len(accepted_arg_types): raise InvalidArgumentNumberError(validate_function.__name__) # We're using enumerate to get the index, so we can pass the # argument number with the incorrect type to ArgumentValidationError. i = 0; #print(function_args, accepted_arg_types); for arg_num, (actual_arg, accepted_arg_type) in enumerate(zip(function_args, accepted_arg_types)): if(accepted_arg_type=="self"): continue; if(type(accepted_arg_type)) == list: print(actual_arg, accepted_arg_type) if type(actual_arg) not in accepted_arg_type: ord_num = ordinal(arg_num + 1) if(post_trace): raise ArgumentValidationError(ord_num, validate_function.function.function.__name__, accepted_arg_type) else: raise ArgumentValidationError(ord_num, validate_function.__name__, accepted_arg_type) else: if not type(actual_arg) is accepted_arg_type: ord_num = ordinal(arg_num + 1) if(post_trace): raise ArgumentValidationError(ord_num, validate_function.function.function.__name__, accepted_arg_type) else: raise ArgumentValidationError(ord_num, validate_function.__name__, accepted_arg_type) i += 1; return validate_function(*function_args, **function_args_dict) return decorator_wrapper return accept_decorator """ """ def returns(*accepted_return_type_tuple, post_trace=False): ''' Validates the return type. Since there's only ever one return type, this makes life simpler. Along with the accepts() decorator, this also only does a check for the top argument. For example you couldn't check (<type 'tuple'>, <type 'int'>, <type 'str'>). In that case you could only check if it was a tuple. ''' def return_decorator(validate_function): # No return type has been specified. if len(accepted_return_type_tuple) == 0: raise TypeError('You must specify a return type.') @functools.wraps(validate_function) def decorator_wrapper(*function_args): # More than one return type has been specified. if len(accepted_return_type_tuple) > 1: raise TypeError('You must specify one return type.') # Since the decorator receives a tuple of arguments # and the is only ever one object returned, we'll just # grab the first parameter. accepted_return_type = accepted_return_type_tuple[0] # We'll execute the function, and # take a look at the return type. return_value = validate_function(*function_args) return_value_type = type(return_value) if return_value_type is not accepted_return_type: if(post_trace): raise InvalidReturnType(return_value_type, validate_function.function.function.__name__) else: raise InvalidReturnType(return_value_type, validate_function.__name__) return return_value return decorator_wrapper return return_decorator # new_f.__name__ = f.__name__ # return new_f # check_accepts.__name__ = f.__name__ ''' logger = logging.getLogger(__name__) logger.setLevel(logging.DEBUG) DATE_TIME = datetime.datetime.now() HANDLER = logging.FileHandler("process.log", 'w') HANDLER.setLevel(logging.DEBUG) FORMATTER = logging.Formatter('[%(asctime)s] p%(process)s {%(filename)s:%(lineno)d} %(levelname)s \ - %(message)s', '%m-%d %H:%M:%S') HANDLER.setFormatter(FORMATTER) logger.addHandler(HANDLER) def logged(class_func=False): def wrap(function): @functools.wraps(function) def wrapper(*args, **kwargs): if(class_func): logger.debug("Calling function '{}' with args={} kwargs={}".format(function.__name__, args[1:], kwargs)) else: logger.debug("Calling function '{}' with args={} kwargs={}".format(function.__name__, args, kwargs)) try: response = function(*args, **kwargs) except Exception as error: logger.error("Function '{}' raised {} with error '{}'" .format(function.__name__, error.__class__.__name__, str(error))) raise error logger.debug("Function '{}' returned {}" .format(function.__name__, response)) return function(*args, **kwargs) return wrapper return wrap ''' """

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da0e07027b013382095c6aad43bf91cc2391e080

148,769

py

Python

rustici_software_cloud_v2/apis/registration_api.py

ryanhope2/scormcloud-api-v2-client-python

fcc392933218d32b70987f8bfb1711f891f31c06

[ "Apache-2.0" ]

null

rustici_software_cloud_v2/apis/registration_api.py

ryanhope2/scormcloud-api-v2-client-python

fcc392933218d32b70987f8bfb1711f891f31c06

[ "Apache-2.0" ]

null

rustici_software_cloud_v2/apis/registration_api.py

ryanhope2/scormcloud-api-v2-client-python

fcc392933218d32b70987f8bfb1711f891f31c06

[ "Apache-2.0" ]

null

# coding: utf-8 """ SCORM Cloud Rest API REST API used for SCORM Cloud integrations. OpenAPI spec version: 2.0 Contact: systems@rusticisoftware.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ from __future__ import absolute_import import sys import os import re # python 2 and python 3 compatibility library from six import iteritems from ..configuration import Configuration from ..api_client import ApiClient class RegistrationApi(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. Ref: https://github.com/swagger-api/swagger-codegen """ def __init__(self, api_client=None): config = Configuration() if api_client: self.api_client = api_client else: if not config.api_client: config.api_client = ApiClient() self.api_client = config.api_client def build_registration_launch_link(self, registration_id, launch_link_request, **kwargs): """ Get registration launch link. Returns the link to use to launch this registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.build_registration_launch_link(registration_id, launch_link_request, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param LaunchLinkRequestSchema launch_link_request: (required) :return: LaunchLinkSchema If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.build_registration_launch_link_with_http_info(registration_id, launch_link_request, **kwargs) else: (data) = self.build_registration_launch_link_with_http_info(registration_id, launch_link_request, **kwargs) return data def build_registration_launch_link_with_http_info(self, registration_id, launch_link_request, **kwargs): """ Get registration launch link. Returns the link to use to launch this registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.build_registration_launch_link_with_http_info(registration_id, launch_link_request, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param LaunchLinkRequestSchema launch_link_request: (required) :return: LaunchLinkSchema If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'launch_link_request'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method build_registration_launch_link" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `build_registration_launch_link`") # verify the required parameter 'launch_link_request' is set if ('launch_link_request' not in params) or (params['launch_link_request'] is None): raise ValueError("Missing the required parameter `launch_link_request` when calling `build_registration_launch_link`") collection_formats = {} resource_path = '/registrations/{registrationId}/launchLink'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'launch_link_request' in params: body_params = params['launch_link_request'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='LaunchLinkSchema', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_new_registration_instance(self, registration_id, **kwargs): """ Create a new instance for this registration specified by the registration ID. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_new_registration_instance(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.create_new_registration_instance_with_http_info(registration_id, **kwargs) else: (data) = self.create_new_registration_instance_with_http_info(registration_id, **kwargs) return data def create_new_registration_instance_with_http_info(self, registration_id, **kwargs): """ Create a new instance for this registration specified by the registration ID. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_new_registration_instance_with_http_info(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_new_registration_instance" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `create_new_registration_instance`") collection_formats = {} resource_path = '/registrations/{registrationId}/instances'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def create_registration(self, registration, **kwargs): """ Create a registration. This method is used to create a new registration. A registration will contain a few pieces of information such as a learner name, a learner id, and optionally, information about where activity data should be posted (for client consumption), as well as a way to specify simple authentication schemes for posting said data. A registration must be tied to a specific course at creation time. When the created registration is “launched”, the course specified at creation time will be launched. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_registration(registration, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param CreateRegistrationSchema registration: (required) :param int course_version: The version of the course you want to create the registration for. Unless you have a reason for using this you probably do not need to. :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.create_registration_with_http_info(registration, **kwargs) else: (data) = self.create_registration_with_http_info(registration, **kwargs) return data def create_registration_with_http_info(self, registration, **kwargs): """ Create a registration. This method is used to create a new registration. A registration will contain a few pieces of information such as a learner name, a learner id, and optionally, information about where activity data should be posted (for client consumption), as well as a way to specify simple authentication schemes for posting said data. A registration must be tied to a specific course at creation time. When the created registration is “launched”, the course specified at creation time will be launched. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.create_registration_with_http_info(registration, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param CreateRegistrationSchema registration: (required) :param int course_version: The version of the course you want to create the registration for. Unless you have a reason for using this you probably do not need to. :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['registration', 'course_version'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method create_registration" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration' is set if ('registration' not in params) or (params['registration'] is None): raise ValueError("Missing the required parameter `registration` when calling `create_registration`") collection_formats = {} resource_path = '/registrations'.replace('{format}', 'json') path_params = {} query_params = {} if 'course_version' in params: query_params['courseVersion'] = params['course_version'] header_params = {} form_params = [] local_var_files = {} body_params = None if 'registration' in params: body_params = params['registration'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_registration(self, registration_id, **kwargs): """ Delete a registration. Delete `registrationId`. This includes all instances of this registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_registration(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.delete_registration_with_http_info(registration_id, **kwargs) else: (data) = self.delete_registration_with_http_info(registration_id, **kwargs) return data def delete_registration_with_http_info(self, registration_id, **kwargs): """ Delete a registration. Delete `registrationId`. This includes all instances of this registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_registration_with_http_info(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_registration" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `delete_registration`") collection_formats = {} resource_path = '/registrations/{registrationId}'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_registration_configuration_setting(self, registration_id, setting_id, **kwargs): """ Clear a registration configuration. Clears the `settingId` value for this registration. The effective value will become the value at the next level which has an explicit value set. Possibilities are course, application, or default. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_registration_configuration_setting(registration_id, setting_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param str setting_id: (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.delete_registration_configuration_setting_with_http_info(registration_id, setting_id, **kwargs) else: (data) = self.delete_registration_configuration_setting_with_http_info(registration_id, setting_id, **kwargs) return data def delete_registration_configuration_setting_with_http_info(self, registration_id, setting_id, **kwargs): """ Clear a registration configuration. Clears the `settingId` value for this registration. The effective value will become the value at the next level which has an explicit value set. Possibilities are course, application, or default. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_registration_configuration_setting_with_http_info(registration_id, setting_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param str setting_id: (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'setting_id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_registration_configuration_setting" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `delete_registration_configuration_setting`") # verify the required parameter 'setting_id' is set if ('setting_id' not in params) or (params['setting_id'] is None): raise ValueError("Missing the required parameter `setting_id` when calling `delete_registration_configuration_setting`") collection_formats = {} resource_path = '/registrations/{registrationId}/configuration/{settingId}'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] if 'setting_id' in params: path_params['settingId'] = params['setting_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_registration_global_data(self, registration_id, **kwargs): """ Delete the global data of a registration. Delete global data associated with `registrationId`'. Calling this method will reset all global objectives associated with this registration, if any exist. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_registration_global_data(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.delete_registration_global_data_with_http_info(registration_id, **kwargs) else: (data) = self.delete_registration_global_data_with_http_info(registration_id, **kwargs) return data def delete_registration_global_data_with_http_info(self, registration_id, **kwargs): """ Delete the global data of a registration. Delete global data associated with `registrationId`'. Calling this method will reset all global objectives associated with this registration, if any exist. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_registration_global_data_with_http_info(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_registration_global_data" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `delete_registration_global_data`") collection_formats = {} resource_path = '/registrations/{registrationId}/globalData'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_registration_instance_configuration_setting(self, registration_id, instance_id, setting_id, **kwargs): """ Clear a configuration for an instance of a registration. Clears the `settingId` value for this registration instance. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_registration_instance_configuration_setting(registration_id, instance_id, setting_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param int instance_id: The instance of this registration (required) :param str setting_id: (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.delete_registration_instance_configuration_setting_with_http_info(registration_id, instance_id, setting_id, **kwargs) else: (data) = self.delete_registration_instance_configuration_setting_with_http_info(registration_id, instance_id, setting_id, **kwargs) return data def delete_registration_instance_configuration_setting_with_http_info(self, registration_id, instance_id, setting_id, **kwargs): """ Clear a configuration for an instance of a registration. Clears the `settingId` value for this registration instance. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_registration_instance_configuration_setting_with_http_info(registration_id, instance_id, setting_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param int instance_id: The instance of this registration (required) :param str setting_id: (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'instance_id', 'setting_id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_registration_instance_configuration_setting" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `delete_registration_instance_configuration_setting`") # verify the required parameter 'instance_id' is set if ('instance_id' not in params) or (params['instance_id'] is None): raise ValueError("Missing the required parameter `instance_id` when calling `delete_registration_instance_configuration_setting`") # verify the required parameter 'setting_id' is set if ('setting_id' not in params) or (params['setting_id'] is None): raise ValueError("Missing the required parameter `setting_id` when calling `delete_registration_instance_configuration_setting`") if 'instance_id' in params and params['instance_id'] < 0: raise ValueError("Invalid value for parameter `instance_id` when calling `delete_registration_instance_configuration_setting`, must be a value greater than or equal to `0`") collection_formats = {} resource_path = '/registrations/{registrationId}/instances/{instanceId}/configuration/{settingId}'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] if 'instance_id' in params: path_params['instanceId'] = params['instance_id'] if 'setting_id' in params: path_params['settingId'] = params['setting_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_registration_progress(self, registration_id, **kwargs): """ Reset a registration. This method will reset the specified registration. This is essentially the same as deleting and recreating the registration, and as such, will delete all the data associated with the registration (including launch history, etc.). If the course for which the registration is registered has multiple versions, the registration being reset will automatically be registered for the latest version. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_registration_progress(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.delete_registration_progress_with_http_info(registration_id, **kwargs) else: (data) = self.delete_registration_progress_with_http_info(registration_id, **kwargs) return data def delete_registration_progress_with_http_info(self, registration_id, **kwargs): """ Reset a registration. This method will reset the specified registration. This is essentially the same as deleting and recreating the registration, and as such, will delete all the data associated with the registration (including launch history, etc.). If the course for which the registration is registered has multiple versions, the registration being reset will automatically be registered for the latest version. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_registration_progress_with_http_info(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_registration_progress" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `delete_registration_progress`") collection_formats = {} resource_path = '/registrations/{registrationId}/progress'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def delete_registration_tags(self, registration_id, tags, **kwargs): """ Delete tags from a registration. Delete the provided tags for this registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_registration_tags(registration_id, tags, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param TagListSchema tags: (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.delete_registration_tags_with_http_info(registration_id, tags, **kwargs) else: (data) = self.delete_registration_tags_with_http_info(registration_id, tags, **kwargs) return data def delete_registration_tags_with_http_info(self, registration_id, tags, **kwargs): """ Delete tags from a registration. Delete the provided tags for this registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.delete_registration_tags_with_http_info(registration_id, tags, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param TagListSchema tags: (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'tags'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method delete_registration_tags" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `delete_registration_tags`") # verify the required parameter 'tags' is set if ('tags' not in params) or (params['tags'] is None): raise ValueError("Missing the required parameter `tags` when calling `delete_registration_tags`") collection_formats = {} resource_path = '/registrations/{registrationId}/tags'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'tags' in params: body_params = params['tags'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'DELETE', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_registration(self, registration_id, **kwargs): """ See if a registration exists. This method is meant to check if a registration with `registrationId` exists in the system. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_registration_with_http_info(registration_id, **kwargs) else: (data) = self.get_registration_with_http_info(registration_id, **kwargs) return data def get_registration_with_http_info(self, registration_id, **kwargs): """ See if a registration exists. This method is meant to check if a registration with `registrationId` exists in the system. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_with_http_info(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_registration" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `get_registration`") collection_formats = {} resource_path = '/registrations/{registrationId}'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'HEAD', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_registration_configuration(self, registration_id, **kwargs): """ Get registration configuration. Returns all configuration settings for this registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_configuration(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param bool include_metadata: :return: SettingListSchema If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_registration_configuration_with_http_info(registration_id, **kwargs) else: (data) = self.get_registration_configuration_with_http_info(registration_id, **kwargs) return data def get_registration_configuration_with_http_info(self, registration_id, **kwargs): """ Get registration configuration. Returns all configuration settings for this registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_configuration_with_http_info(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param bool include_metadata: :return: SettingListSchema If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'include_metadata'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_registration_configuration" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `get_registration_configuration`") collection_formats = {} resource_path = '/registrations/{registrationId}/configuration'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} if 'include_metadata' in params: query_params['includeMetadata'] = params['include_metadata'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SettingListSchema', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_registration_instance_configuration(self, registration_id, instance_id, **kwargs): """ Get configuration for instance of registration. Returns all configuration settings for this registration instance. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_instance_configuration(registration_id, instance_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param int instance_id: The instance of this registration (required) :param bool include_metadata: :return: SettingListSchema If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_registration_instance_configuration_with_http_info(registration_id, instance_id, **kwargs) else: (data) = self.get_registration_instance_configuration_with_http_info(registration_id, instance_id, **kwargs) return data def get_registration_instance_configuration_with_http_info(self, registration_id, instance_id, **kwargs): """ Get configuration for instance of registration. Returns all configuration settings for this registration instance. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_instance_configuration_with_http_info(registration_id, instance_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param int instance_id: The instance of this registration (required) :param bool include_metadata: :return: SettingListSchema If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'instance_id', 'include_metadata'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_registration_instance_configuration" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `get_registration_instance_configuration`") # verify the required parameter 'instance_id' is set if ('instance_id' not in params) or (params['instance_id'] is None): raise ValueError("Missing the required parameter `instance_id` when calling `get_registration_instance_configuration`") if 'instance_id' in params and params['instance_id'] < 0: raise ValueError("Invalid value for parameter `instance_id` when calling `get_registration_instance_configuration`, must be a value greater than or equal to `0`") collection_formats = {} resource_path = '/registrations/{registrationId}/instances/{instanceId}/configuration'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] if 'instance_id' in params: path_params['instanceId'] = params['instance_id'] query_params = {} if 'include_metadata' in params: query_params['includeMetadata'] = params['include_metadata'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='SettingListSchema', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_registration_instance_launch_history(self, registration_id, instance_id, **kwargs): """ Get launch history for an instance of a registration. Returns history of the launches of the specified instance of this registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_instance_launch_history(registration_id, instance_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param int instance_id: The instance of this registration (required) :param bool include_history_log: Whether to include the history log in the launch history :return: LaunchHistoryListSchema If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_registration_instance_launch_history_with_http_info(registration_id, instance_id, **kwargs) else: (data) = self.get_registration_instance_launch_history_with_http_info(registration_id, instance_id, **kwargs) return data def get_registration_instance_launch_history_with_http_info(self, registration_id, instance_id, **kwargs): """ Get launch history for an instance of a registration. Returns history of the launches of the specified instance of this registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_instance_launch_history_with_http_info(registration_id, instance_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param int instance_id: The instance of this registration (required) :param bool include_history_log: Whether to include the history log in the launch history :return: LaunchHistoryListSchema If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'instance_id', 'include_history_log'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_registration_instance_launch_history" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `get_registration_instance_launch_history`") # verify the required parameter 'instance_id' is set if ('instance_id' not in params) or (params['instance_id'] is None): raise ValueError("Missing the required parameter `instance_id` when calling `get_registration_instance_launch_history`") if 'instance_id' in params and params['instance_id'] < 0: raise ValueError("Invalid value for parameter `instance_id` when calling `get_registration_instance_launch_history`, must be a value greater than or equal to `0`") collection_formats = {} resource_path = '/registrations/{registrationId}/instances/{instanceId}/launchHistory'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] if 'instance_id' in params: path_params['instanceId'] = params['instance_id'] query_params = {} if 'include_history_log' in params: query_params['includeHistoryLog'] = params['include_history_log'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='LaunchHistoryListSchema', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_registration_instance_progress(self, registration_id, instance_id, **kwargs): """ Get details of an instance of a registration. Get registration progress for instance `instanceId` of `registrationId`' This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_instance_progress(registration_id, instance_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param int instance_id: The instance of this registration (required) :param bool include_child_results: Include information about each learning object, not just the top level in the results :param bool include_interactions_and_objectives: Include interactions and objectives in the results :param bool include_runtime: Include runtime details in the results :return: RegistrationSchema If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_registration_instance_progress_with_http_info(registration_id, instance_id, **kwargs) else: (data) = self.get_registration_instance_progress_with_http_info(registration_id, instance_id, **kwargs) return data def get_registration_instance_progress_with_http_info(self, registration_id, instance_id, **kwargs): """ Get details of an instance of a registration. Get registration progress for instance `instanceId` of `registrationId`' This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_instance_progress_with_http_info(registration_id, instance_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param int instance_id: The instance of this registration (required) :param bool include_child_results: Include information about each learning object, not just the top level in the results :param bool include_interactions_and_objectives: Include interactions and objectives in the results :param bool include_runtime: Include runtime details in the results :return: RegistrationSchema If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'instance_id', 'include_child_results', 'include_interactions_and_objectives', 'include_runtime'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_registration_instance_progress" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `get_registration_instance_progress`") # verify the required parameter 'instance_id' is set if ('instance_id' not in params) or (params['instance_id'] is None): raise ValueError("Missing the required parameter `instance_id` when calling `get_registration_instance_progress`") if 'instance_id' in params and params['instance_id'] < 0: raise ValueError("Invalid value for parameter `instance_id` when calling `get_registration_instance_progress`, must be a value greater than or equal to `0`") collection_formats = {} resource_path = '/registrations/{registrationId}/instances/{instanceId}'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] if 'instance_id' in params: path_params['instanceId'] = params['instance_id'] query_params = {} if 'include_child_results' in params: query_params['includeChildResults'] = params['include_child_results'] if 'include_interactions_and_objectives' in params: query_params['includeInteractionsAndObjectives'] = params['include_interactions_and_objectives'] if 'include_runtime' in params: query_params['includeRuntime'] = params['include_runtime'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='RegistrationSchema', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_registration_instance_statements(self, registration_id, instance_id, **kwargs): """ Get xAPI statements for an instance of a registration. Get xAPI statements for instance `instanceId` of `registrationId`. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_instance_statements(registration_id, instance_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param int instance_id: The instance of this registration (required) :param datetime since: Only items updated since the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param datetime until: Only items updated before the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param str more: Value for this parameter will be provided in the 'more' property of registration lists, where needed. An opaque value, construction and parsing may change without notice. :return: XapiStatementResult If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_registration_instance_statements_with_http_info(registration_id, instance_id, **kwargs) else: (data) = self.get_registration_instance_statements_with_http_info(registration_id, instance_id, **kwargs) return data def get_registration_instance_statements_with_http_info(self, registration_id, instance_id, **kwargs): """ Get xAPI statements for an instance of a registration. Get xAPI statements for instance `instanceId` of `registrationId`. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_instance_statements_with_http_info(registration_id, instance_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param int instance_id: The instance of this registration (required) :param datetime since: Only items updated since the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param datetime until: Only items updated before the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param str more: Value for this parameter will be provided in the 'more' property of registration lists, where needed. An opaque value, construction and parsing may change without notice. :return: XapiStatementResult If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'instance_id', 'since', 'until', 'more'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_registration_instance_statements" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `get_registration_instance_statements`") # verify the required parameter 'instance_id' is set if ('instance_id' not in params) or (params['instance_id'] is None): raise ValueError("Missing the required parameter `instance_id` when calling `get_registration_instance_statements`") if 'instance_id' in params and params['instance_id'] < 0: raise ValueError("Invalid value for parameter `instance_id` when calling `get_registration_instance_statements`, must be a value greater than or equal to `0`") collection_formats = {} resource_path = '/registrations/{registrationId}/instances/{instanceId}/xAPIStatements'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] if 'instance_id' in params: path_params['instanceId'] = params['instance_id'] query_params = {} if 'since' in params: query_params['since'] = params['since'] if 'until' in params: query_params['until'] = params['until'] if 'more' in params: query_params['more'] = params['more'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='XapiStatementResult', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_registration_instances(self, registration_id, **kwargs): """ Get all instances of a registration. Get all the instances of this the registration specified by the registration ID This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_instances(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param datetime until: Only items updated before the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param datetime since: Only items updated since the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param str more: Value for this parameter will be provided in the 'more' property of registration lists, where needed. An opaque value, construction and parsing may change without notice. :param bool include_child_results: Include information about each learning object, not just the top level in the results :param bool include_interactions_and_objectives: Include interactions and objectives in the results :param bool include_runtime: Include runtime details in the results :return: RegistrationListSchema If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_registration_instances_with_http_info(registration_id, **kwargs) else: (data) = self.get_registration_instances_with_http_info(registration_id, **kwargs) return data def get_registration_instances_with_http_info(self, registration_id, **kwargs): """ Get all instances of a registration. Get all the instances of this the registration specified by the registration ID This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_instances_with_http_info(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param datetime until: Only items updated before the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param datetime since: Only items updated since the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param str more: Value for this parameter will be provided in the 'more' property of registration lists, where needed. An opaque value, construction and parsing may change without notice. :param bool include_child_results: Include information about each learning object, not just the top level in the results :param bool include_interactions_and_objectives: Include interactions and objectives in the results :param bool include_runtime: Include runtime details in the results :return: RegistrationListSchema If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'until', 'since', 'more', 'include_child_results', 'include_interactions_and_objectives', 'include_runtime'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_registration_instances" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `get_registration_instances`") collection_formats = {} resource_path = '/registrations/{registrationId}/instances'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} if 'until' in params: query_params['until'] = params['until'] if 'since' in params: query_params['since'] = params['since'] if 'more' in params: query_params['more'] = params['more'] if 'include_child_results' in params: query_params['includeChildResults'] = params['include_child_results'] if 'include_interactions_and_objectives' in params: query_params['includeInteractionsAndObjectives'] = params['include_interactions_and_objectives'] if 'include_runtime' in params: query_params['includeRuntime'] = params['include_runtime'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='RegistrationListSchema', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_registration_launch_history(self, registration_id, **kwargs): """ Get launch history for a registration. Returns history of this registration's launches. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_launch_history(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param bool include_history_log: Whether to include the history log in the launch history :return: LaunchHistoryListSchema If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_registration_launch_history_with_http_info(registration_id, **kwargs) else: (data) = self.get_registration_launch_history_with_http_info(registration_id, **kwargs) return data def get_registration_launch_history_with_http_info(self, registration_id, **kwargs): """ Get launch history for a registration. Returns history of this registration's launches. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_launch_history_with_http_info(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param bool include_history_log: Whether to include the history log in the launch history :return: LaunchHistoryListSchema If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'include_history_log'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_registration_launch_history" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `get_registration_launch_history`") collection_formats = {} resource_path = '/registrations/{registrationId}/launchHistory'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} if 'include_history_log' in params: query_params['includeHistoryLog'] = params['include_history_log'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='LaunchHistoryListSchema', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_registration_progress(self, registration_id, **kwargs): """ Get details of a registration. Get detailed information about the latest instance of `registrationId`. Additional detail may be obtained by using the optional query parameters. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_progress(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param bool include_child_results: Include information about each learning object, not just the top level in the results :param bool include_interactions_and_objectives: Include interactions and objectives in the results :param bool include_runtime: Include runtime details in the results :return: RegistrationSchema If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_registration_progress_with_http_info(registration_id, **kwargs) else: (data) = self.get_registration_progress_with_http_info(registration_id, **kwargs) return data def get_registration_progress_with_http_info(self, registration_id, **kwargs): """ Get details of a registration. Get detailed information about the latest instance of `registrationId`. Additional detail may be obtained by using the optional query parameters. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_progress_with_http_info(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param bool include_child_results: Include information about each learning object, not just the top level in the results :param bool include_interactions_and_objectives: Include interactions and objectives in the results :param bool include_runtime: Include runtime details in the results :return: RegistrationSchema If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'include_child_results', 'include_interactions_and_objectives', 'include_runtime'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_registration_progress" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `get_registration_progress`") collection_formats = {} resource_path = '/registrations/{registrationId}'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} if 'include_child_results' in params: query_params['includeChildResults'] = params['include_child_results'] if 'include_interactions_and_objectives' in params: query_params['includeInteractionsAndObjectives'] = params['include_interactions_and_objectives'] if 'include_runtime' in params: query_params['includeRuntime'] = params['include_runtime'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='RegistrationSchema', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_registration_statements(self, registration_id, **kwargs): """ Get xAPI statements for a registration. Get xAPI statements for `registrationId`. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_statements(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param datetime since: Only items updated since the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param datetime until: Only items updated before the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param str more: Value for this parameter will be provided in the 'more' property of registration lists, where needed. An opaque value, construction and parsing may change without notice. :return: XapiStatementResult If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_registration_statements_with_http_info(registration_id, **kwargs) else: (data) = self.get_registration_statements_with_http_info(registration_id, **kwargs) return data def get_registration_statements_with_http_info(self, registration_id, **kwargs): """ Get xAPI statements for a registration. Get xAPI statements for `registrationId`. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_statements_with_http_info(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param datetime since: Only items updated since the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param datetime until: Only items updated before the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param str more: Value for this parameter will be provided in the 'more' property of registration lists, where needed. An opaque value, construction and parsing may change without notice. :return: XapiStatementResult If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'since', 'until', 'more'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_registration_statements" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `get_registration_statements`") collection_formats = {} resource_path = '/registrations/{registrationId}/xAPIStatements'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} if 'since' in params: query_params['since'] = params['since'] if 'until' in params: query_params['until'] = params['until'] if 'more' in params: query_params['more'] = params['more'] header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='XapiStatementResult', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_registration_tags(self, registration_id, **kwargs): """ Get tags for a registration. Get a list of the tags applied to this registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_tags(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :return: TagListSchema If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_registration_tags_with_http_info(registration_id, **kwargs) else: (data) = self.get_registration_tags_with_http_info(registration_id, **kwargs) return data def get_registration_tags_with_http_info(self, registration_id, **kwargs): """ Get tags for a registration. Get a list of the tags applied to this registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registration_tags_with_http_info(registration_id, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :return: TagListSchema If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_registration_tags" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `get_registration_tags`") collection_formats = {} resource_path = '/registrations/{registrationId}/tags'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='TagListSchema', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def get_registrations(self, **kwargs): """ Get a list of all registrations. Gets a list of registrations including a summary of the status of each registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registrations(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str course_id: Only registrations for the specified course id will be included. :param str learner_id: Only registrations for the specified learner id will be included. :param datetime since: Only items updated since the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param datetime until: Only items updated before the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param str more: Value for this parameter will be provided in the 'more' property of registration lists, where needed. An opaque value, construction and parsing may change without notice. :param bool include_child_results: Include information about each learning object, not just the top level in the results :param bool include_interactions_and_objectives: Include interactions and objectives in the results :param bool include_runtime: Include runtime details in the results :param list[str] tags: :return: RegistrationListSchema If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.get_registrations_with_http_info(**kwargs) else: (data) = self.get_registrations_with_http_info(**kwargs) return data def get_registrations_with_http_info(self, **kwargs): """ Get a list of all registrations. Gets a list of registrations including a summary of the status of each registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.get_registrations_with_http_info(callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str course_id: Only registrations for the specified course id will be included. :param str learner_id: Only registrations for the specified learner id will be included. :param datetime since: Only items updated since the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param datetime until: Only items updated before the specified ISO 8601 TimeStamp (inclusive) are included. If a time zone is not specified, UTC time zone will be used. :param str more: Value for this parameter will be provided in the 'more' property of registration lists, where needed. An opaque value, construction and parsing may change without notice. :param bool include_child_results: Include information about each learning object, not just the top level in the results :param bool include_interactions_and_objectives: Include interactions and objectives in the results :param bool include_runtime: Include runtime details in the results :param list[str] tags: :return: RegistrationListSchema If the method is called asynchronously, returns the request thread. """ all_params = ['course_id', 'learner_id', 'since', 'until', 'more', 'include_child_results', 'include_interactions_and_objectives', 'include_runtime', 'tags'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method get_registrations" % key ) params[key] = val del params['kwargs'] collection_formats = {} resource_path = '/registrations'.replace('{format}', 'json') path_params = {} query_params = {} if 'course_id' in params: query_params['courseId'] = params['course_id'] if 'learner_id' in params: query_params['learnerId'] = params['learner_id'] if 'since' in params: query_params['since'] = params['since'] if 'until' in params: query_params['until'] = params['until'] if 'more' in params: query_params['more'] = params['more'] if 'include_child_results' in params: query_params['includeChildResults'] = params['include_child_results'] if 'include_interactions_and_objectives' in params: query_params['includeInteractionsAndObjectives'] = params['include_interactions_and_objectives'] if 'include_runtime' in params: query_params['includeRuntime'] = params['include_runtime'] if 'tags' in params: query_params['tags'] = params['tags'] collection_formats['tags'] = 'csv' header_params = {} form_params = [] local_var_files = {} body_params = None # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'GET', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type='RegistrationListSchema', auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def put_registration_tags(self, registration_id, tags, **kwargs): """ Set tags on a registration. Set the tags for this registration. Note: any tags currently on this registration will be overwritten with the new array of tags. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_registration_tags(registration_id, tags, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param TagListSchema tags: (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.put_registration_tags_with_http_info(registration_id, tags, **kwargs) else: (data) = self.put_registration_tags_with_http_info(registration_id, tags, **kwargs) return data def put_registration_tags_with_http_info(self, registration_id, tags, **kwargs): """ Set tags on a registration. Set the tags for this registration. Note: any tags currently on this registration will be overwritten with the new array of tags. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_registration_tags_with_http_info(registration_id, tags, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param TagListSchema tags: (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'tags'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method put_registration_tags" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `put_registration_tags`") # verify the required parameter 'tags' is set if ('tags' not in params) or (params['tags'] is None): raise ValueError("Missing the required parameter `tags` when calling `put_registration_tags`") collection_formats = {} resource_path = '/registrations/{registrationId}/tags'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'tags' in params: body_params = params['tags'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def put_registration_tags_batch(self, batch, **kwargs): """ Set tags on registrations. Sets all of the provided tags on all of the provided registrations. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_registration_tags_batch(batch, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param BatchTagsSchema batch: Object representing an array of ids to apply an array of tags to. (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.put_registration_tags_batch_with_http_info(batch, **kwargs) else: (data) = self.put_registration_tags_batch_with_http_info(batch, **kwargs) return data def put_registration_tags_batch_with_http_info(self, batch, **kwargs): """ Set tags on registrations. Sets all of the provided tags on all of the provided registrations. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.put_registration_tags_batch_with_http_info(batch, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param BatchTagsSchema batch: Object representing an array of ids to apply an array of tags to. (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['batch'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method put_registration_tags_batch" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'batch' is set if ('batch' not in params) or (params['batch'] is None): raise ValueError("Missing the required parameter `batch` when calling `put_registration_tags_batch`") collection_formats = {} resource_path = '/registrations/tags'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'batch' in params: body_params = params['batch'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'PUT', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def set_registration_configuration(self, registration_id, configuration_settings, **kwargs): """ Set registration configuration. Set configuration settings for this registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.set_registration_configuration(registration_id, configuration_settings, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param SettingsPostSchema configuration_settings: (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.set_registration_configuration_with_http_info(registration_id, configuration_settings, **kwargs) else: (data) = self.set_registration_configuration_with_http_info(registration_id, configuration_settings, **kwargs) return data def set_registration_configuration_with_http_info(self, registration_id, configuration_settings, **kwargs): """ Set registration configuration. Set configuration settings for this registration. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.set_registration_configuration_with_http_info(registration_id, configuration_settings, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param SettingsPostSchema configuration_settings: (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'configuration_settings'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method set_registration_configuration" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `set_registration_configuration`") # verify the required parameter 'configuration_settings' is set if ('configuration_settings' not in params) or (params['configuration_settings'] is None): raise ValueError("Missing the required parameter `configuration_settings` when calling `set_registration_configuration`") collection_formats = {} resource_path = '/registrations/{registrationId}/configuration'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'configuration_settings' in params: body_params = params['configuration_settings'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def set_registration_instance_configuration(self, registration_id, instance_id, configuration_settings, **kwargs): """ Set configuration for instance of registration. Set configuration settings for this registration instance. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.set_registration_instance_configuration(registration_id, instance_id, configuration_settings, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param int instance_id: The instance of this registration (required) :param SettingsPostSchema configuration_settings: (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.set_registration_instance_configuration_with_http_info(registration_id, instance_id, configuration_settings, **kwargs) else: (data) = self.set_registration_instance_configuration_with_http_info(registration_id, instance_id, configuration_settings, **kwargs) return data def set_registration_instance_configuration_with_http_info(self, registration_id, instance_id, configuration_settings, **kwargs): """ Set configuration for instance of registration. Set configuration settings for this registration instance. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.set_registration_instance_configuration_with_http_info(registration_id, instance_id, configuration_settings, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param str registration_id: id for this registration (required) :param int instance_id: The instance of this registration (required) :param SettingsPostSchema configuration_settings: (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['registration_id', 'instance_id', 'configuration_settings'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method set_registration_instance_configuration" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'registration_id' is set if ('registration_id' not in params) or (params['registration_id'] is None): raise ValueError("Missing the required parameter `registration_id` when calling `set_registration_instance_configuration`") # verify the required parameter 'instance_id' is set if ('instance_id' not in params) or (params['instance_id'] is None): raise ValueError("Missing the required parameter `instance_id` when calling `set_registration_instance_configuration`") # verify the required parameter 'configuration_settings' is set if ('configuration_settings' not in params) or (params['configuration_settings'] is None): raise ValueError("Missing the required parameter `configuration_settings` when calling `set_registration_instance_configuration`") if 'instance_id' in params and params['instance_id'] < 0: raise ValueError("Invalid value for parameter `instance_id` when calling `set_registration_instance_configuration`, must be a value greater than or equal to `0`") collection_formats = {} resource_path = '/registrations/{registrationId}/instances/{instanceId}/configuration'.replace('{format}', 'json') path_params = {} if 'registration_id' in params: path_params['registrationId'] = params['registration_id'] if 'instance_id' in params: path_params['instanceId'] = params['instance_id'] query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'configuration_settings' in params: body_params = params['configuration_settings'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats) def test_registration_postback(self, post_back, **kwargs): """ Send a test postback with a provided configuration. This method will allow testing a postback configuration that you provide by sending dummy data to the url specified, with the format you specify. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.test_registration_postback(post_back, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param PostBackSchema post_back: (required) :return: None If the method is called asynchronously, returns the request thread. """ kwargs['_return_http_data_only'] = True if kwargs.get('callback'): return self.test_registration_postback_with_http_info(post_back, **kwargs) else: (data) = self.test_registration_postback_with_http_info(post_back, **kwargs) return data def test_registration_postback_with_http_info(self, post_back, **kwargs): """ Send a test postback with a provided configuration. This method will allow testing a postback configuration that you provide by sending dummy data to the url specified, with the format you specify. This method makes a synchronous HTTP request by default. To make an asynchronous HTTP request, please define a `callback` function to be invoked when receiving the response. >>> def callback_function(response): >>> pprint(response) >>> >>> thread = api.test_registration_postback_with_http_info(post_back, callback=callback_function) :param callback function: The callback function for asynchronous request. (optional) :param PostBackSchema post_back: (required) :return: None If the method is called asynchronously, returns the request thread. """ all_params = ['post_back'] all_params.append('callback') all_params.append('_return_http_data_only') all_params.append('_preload_content') all_params.append('_request_timeout') params = locals() for key, val in iteritems(params['kwargs']): if key not in all_params: raise TypeError( "Got an unexpected keyword argument '%s'" " to method test_registration_postback" % key ) params[key] = val del params['kwargs'] # verify the required parameter 'post_back' is set if ('post_back' not in params) or (params['post_back'] is None): raise ValueError("Missing the required parameter `post_back` when calling `test_registration_postback`") collection_formats = {} resource_path = '/registrations/postBackTest'.replace('{format}', 'json') path_params = {} query_params = {} header_params = {} form_params = [] local_var_files = {} body_params = None if 'post_back' in params: body_params = params['post_back'] # HTTP header `Accept` header_params['Accept'] = self.api_client.\ select_header_accept(['application/json']) # HTTP header `Content-Type` header_params['Content-Type'] = self.api_client.\ select_header_content_type(['application/json']) # Authentication setting auth_settings = ['APP_NORMAL', 'OAUTH'] return self.api_client.call_api(resource_path, 'POST', path_params, query_params, header_params, body=body_params, post_params=form_params, files=local_var_files, response_type=None, auth_settings=auth_settings, callback=params.get('callback'), _return_http_data_only=params.get('_return_http_data_only'), _preload_content=params.get('_preload_content', True), _request_timeout=params.get('_request_timeout'), collection_formats=collection_formats)

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null

0

1

0

1

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null

0

8

da402206095096fef048c0afa29474256e9bbd05

283

py

Python

__init__.py

ElgaSalvadore/watools

daaaad474add572f32dd6a45a4230ccf636c479a

[ "Apache-2.0" ]

11

2018-09-25T08:58:26.000Z

2021-02-13T18:58:05.000Z

__init__.py

trngbich/watools

57b9074d59d856886675aa26014bfd6673d5da76

[ "Apache-2.0" ]

2

2019-07-25T06:10:40.000Z

2019-07-25T07:09:27.000Z

__init__.py

trngbich/watools

57b9074d59d856886675aa26014bfd6673d5da76

[ "Apache-2.0" ]

16

2018-09-28T22:55:11.000Z

2021-02-22T13:03:56.000Z

# -*- coding: utf-8 -*- from watools import General, Collect_Tools, WebAccounts, Collect, Products, Sheets, Models, Generator, Functions __all__ = ['General', 'Collect_Tools', 'WebAccounts', 'Collect', 'Products', 'Sheets', 'Models', 'Generator', 'Functions'] __version__ = '0.1'

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0

9

da42d7dc1f878f851fb4b286f3cbcbe775fb9ca5

7,886

py

Python

src/abaqus/EngineeringFeature/ContourIntegral.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

7

2022-01-21T09:15:45.000Z

2022-02-15T09:31:58.000Z

src/abaqus/EngineeringFeature/ContourIntegral.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

src/abaqus/EngineeringFeature/ContourIntegral.py

Haiiliin/PyAbaqus

f20db6ebea19b73059fe875a53be370253381078

[ "MIT" ]

null

from abaqusConstants import * from .Crack import Crack from ..Region.RegionArray import RegionArray class ContourIntegral(Crack): """The ContourIntegral object defines contour integral objects on an region. Currently only assembly regions are supported. The ContourIntegral object is derived from the Crack object. Attributes ---------- suppressed: Boolean A Boolean specifying whether the crack is suppressed or not. The default value is OFF. Notes ----- This object can be accessed by: .. code-block:: python import part mdb.models[name].parts[name].engineeringFeatures.cracks[name] import assembly mdb.models[name].rootAssembly.engineeringFeatures.cracks[name] The corresponding analysis keywords are: - CONTOUR INTEGRAL """ # A Boolean specifying whether the crack is suppressed or not. The default value is OFF. suppressed: Boolean = OFF def __init__(self, name: str, crackFront: RegionArray, crackTip: RegionArray, extensionDirectionMethod: SymbolicConstant, symmetric: Boolean = OFF, listOfRegions: Boolean = OFF, crackFrontName: str = '', crackTipName: str = '', crackNormal: tuple = (), qVectors: tuple = (), midNodePosition: float = 0, collapsedElementAtTip: SymbolicConstant = NONE): """This method creates a ContourIntegral object. Although the constructor is available both for parts and for the assembly, ContourIntegral objects are currently supported only under the assembly. Notes ----- This function can be accessed by: .. code-block:: python mdb.models[name].parts[name].engineeringFeatures.ContourIntegral mdb.models[name].rootAssembly.engineeringFeatures.ContourIntegral Parameters ---------- name A String specifying the repository key. crackFront A RegionArray object specifying the crack-front region to which the contour integral is applied. If the crack-front consists of a single region, a Region object may be specified instead of a sequence with a single item in it. crackTip A RegionArray object specifying the crack-tip region to which the contour integral is applied. If the crack-tip consists of a single region, a Region object may be specified instead of a sequence with a single item in it. extensionDirectionMethod A SymbolicConstant specifying how the virtual crack extension direction vectors are defined. Possible values are CRACK_NORMAL and Q_VECTORS. symmetric A Boolean specifying whether the crack is defined on a half model (about a symmetry plane) or whether it is defined on the whole model. The default value is OFF. listOfRegions A Boolean specifying whether the regions specified by *crackFront* and *crackTip* are specified using a single region or tuples of region objects. The default value is OFF. crackFrontName A String specifying the name of the crack-front region generated from the tuple of regions specifying the crack-front region. This argument is valid only when *listOfRegions* is ON. The default value is *name*+Front. crackTipName A String specifying the name of the crack-tip region generated from the tuple of regions specifying the crack-tip region. This parameter is valid only when *listOfRegions*=ON. The default value is *name*+Tip. crackNormal A sequence of sequences of Floats specifying the two points of the vector that describes the crack normal direction. Each point is defined by a tuple of two or three coordinates indicating its position. This argument is required only when *extensionDirectionMethod*=CRACK_NORMAL. The default value is an empty sequence. qVectors A sequence of sequences of sequences of Floats specifying the vectors that indicate the set of crack extension directions. Each vector is described by a tuple of two points, and each point is described by a tuple of two or three coordinates indicating its position. This argument is required only when *extensionDirectionMethod*=Q_VECTORS. The default value is an empty sequence. midNodePosition A Float specifying the position of the midside node along the edges of the second-order elements that radiate from the crack tip. Possible values are 0.0 << *midNodeParameter* << 1.0. The default value is 0.5. collapsedElementAtTip A SymbolicConstant specifying the crack-tip singularity. Possible values are NONE, SINGLE_NODE, and DUPLICATE_NODES. The default value is NONE. Returns ------- A ContourIntegral object. """ super().__init__() pass def setValues(self, symmetric: Boolean = OFF, listOfRegions: Boolean = OFF, crackFrontName: str = '', crackTipName: str = '', crackNormal: tuple = (), qVectors: tuple = (), midNodePosition: float = 0, collapsedElementAtTip: SymbolicConstant = NONE): """This method modifies the ContourIntegral object. Parameters ---------- symmetric A Boolean specifying whether the crack is defined on a half model (about a symmetry plane) or whether it is defined on the whole model. The default value is OFF. listOfRegions A Boolean specifying whether the regions specified by *crackFront* and *crackTip* are specified using a single region or tuples of region objects. The default value is OFF. crackFrontName A String specifying the name of the crack-front region generated from the tuple of regions specifying the crack-front region. This argument is valid only when *listOfRegions* is ON. The default value is *name*+Front. crackTipName A String specifying the name of the crack-tip region generated from the tuple of regions specifying the crack-tip region. This parameter is valid only when *listOfRegions*=ON. The default value is *name*+Tip. crackNormal A sequence of sequences of Floats specifying the two points of the vector that describes the crack normal direction. Each point is defined by a tuple of two or three coordinates indicating its position. This argument is required only when *extensionDirectionMethod*=CRACK_NORMAL. The default value is an empty sequence. qVectors A sequence of sequences of sequences of Floats specifying the vectors that indicate the set of crack extension directions. Each vector is described by a tuple of two points, and each point is described by a tuple of two or three coordinates indicating its position. This argument is required only when *extensionDirectionMethod*=Q_VECTORS. The default value is an empty sequence. midNodePosition A Float specifying the position of the midside node along the edges of the second-order elements that radiate from the crack tip. Possible values are 0.0 << *midNodeParameter* << 1.0. The default value is 0.5. collapsedElementAtTip A SymbolicConstant specifying the crack-tip singularity. Possible values are NONE, SINGLE_NODE, and DUPLICATE_NODES. The default value is NONE. """ pass

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da6aa4652e7ab27e9180db57d7d1798b1fcf3658

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py

Python

maths78.py

IssamMerikhi/MathApp

43c4bb38a1b67ecebd70d87396eba2a9bbe576f9

[ "Apache-2.0" ]

null

maths78.py

IssamMerikhi/MathApp

43c4bb38a1b67ecebd70d87396eba2a9bbe576f9

[ "Apache-2.0" ]

null

maths78.py

IssamMerikhi/MathApp

43c4bb38a1b67ecebd70d87396eba2a9bbe576f9

[ "Apache-2.0" ]

1

2021-02-26T17:04:35.000Z

# Environment used: dash1_8_0_env import pandas as pd #(version 1.0.0) import plotly #(version 4.5.0) import plotly.express as px import numpy as np import dash #(version 1.8.0) import dash_core_components as dcc import dash_html_components as html from dash.dependencies import Input, Output, State from dash.exceptions import PreventUpdate import plotly.graph_objects as go import random from math import * from random import choice app = dash.Dash(__name__) app.title = 'Maths 78' server = app.server #--------------------------------------------------------------- app.layout = html.Div([ html.Div(["Enjoy Maths"], className='titre'), html.Div([], style={'width': '30%'} ,className='einstein'), html.Div([], className = 'h'), html.Div([ dcc.Dropdown(id = 'type', options=[{'label': 'Droites aléatoires', 'value': 'a'}, {'label': 'Droites orthogonales', 'value': 'o'}, {'label': 'Droites parallèles', 'value': 'p'}], value='a') ], style={'width': '20%', 'display': 'inline-block', 'padding-top': '10px', 'margin-left': '10%', 'font-family':'-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Oxygen, Ubuntu, Cantarell, Open Sans, Helvetica Neue, sans-serif'}), html.Div([ dcc.Dropdown(id = 'monotonie', options=[{'label': 'Ari croissante', 'value': 'acroi'}, {'label': 'Ari décroissante', 'value': 'adecroi'}, {'label': 'Géo croissante', 'value': 'gcroi'}, {'label': 'Géo décroissante', 'value': 'gdecroi'}], value='acroi') ], style={'width': '20%', 'display': 'inline-block', 'padding-top': '10px', 'margin-left': '40%', 'font-family':'-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Oxygen, Ubuntu, Cantarell, Open Sans, Helvetica Neue, sans-serif'}), html.Div([ dcc.Graph(id='droites') ], style={'width': '50%', 'display': 'inline-block'}), html.Div([ dcc.Graph(id='suite') ], style={'width': '50%', 'display': 'inline-block'}), html.Div([ dcc.Dropdown(id = 'new', options=[{'label': 'Vecteurs aléatoires', 'value': 'A'}, {'label': 'Vecteurs orthogonaux', 'value': 'O'}], value='A') ], style={'width': '20%', 'display': 'inline-block', 'padding-top': '10px', 'margin-left': '10%', 'font-family':'-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Oxygen, Ubuntu, Cantarell, Open Sans, Helvetica Neue, sans-serif'}), html.Div([ dcc.Dropdown(id = 'form', options=[{'label': 'Parabole en U', 'value': 'U'}, {'label': 'Parabole en n', 'value': 'n'}, {'label': 'Trinome a>0', 'value': 'apos'}, {'label': 'Trinome a<0', 'value': 'aneg'}], value='U') ], style={'width': '20%', 'display': 'inline-block', 'padding-top': '10px', 'margin-left': '40%', 'font-family':'-apple-system, BlinkMacSystemFont, Segoe UI, Roboto, Oxygen, Ubuntu, Cantarell, Open Sans, Helvetica Neue, sans-serif'}), html.Div([ dcc.Graph(id='produit') ], style={'width': '50%', 'display': 'inline-block'}), html.Div([ dcc.Graph(id='fonction') ], style={'width': '50%', 'display': 'inline-block'}), html.Div(["Copyright - Issam Merikhi 2021 - All rights reserved"], className = 'footer'), ]) #--------------------------------------------------------------- @app.callback( Output(component_id='fonction', component_property='figure'), [Input(component_id='form', component_property='value')] ) def function_output(form): fonction = go.Figure() a_prime = 0 if (form == 'U'): a = random.randint(0,10) b = random.randint(-10,10) c = random.randint(-100,100) x = np.linspace(-20,20,1000) y = a*x**2 + b*x + c a_prime = 2*a y_prime = a_prime*x + b fonction = go.Figure(data=go.Scatter(x=x, y=y, name = "f(X)")) fonction.add_trace(go.Scatter(x=x, y=y_prime, name = "f'(X)")) fonction.update_layout(title = "La fonction : "+str(a)+"x^2 + "+str(b)+"x + "+str(c)+"<br> Sa dérivée : "+str(a_prime)+"x + "+str(b)) fonction.update_layout( title = { 'y':0.9, 'x':0.5, 'xanchor': 'center', 'yanchor': 'top'}) fonction.update_layout( xaxis_title="X", yaxis_title="Y", legend_title="Functions", font=dict( family="-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif", size=13, color="black" ) ) if (form == 'n'): a = random.randint(-10,0) b = random.randint(-10,10) c = random.randint(-100,100) x = np.linspace(-20,20,1000) y = a*x**2 + b*x + c a_prime = 2*a y_prime = a_prime*x + b fonction = go.Figure(data=go.Scatter(x=x, y=y, name ="f(X)")) fonction.add_trace(go.Scatter(x=x, y=y_prime, name ="f'(X)")) fonction.update_layout(title = "La fonction : "+str(a)+"x^2 + "+str(b)+"x + "+str(c)+"<br> Sa dérivée : "+str(a_prime)+"x + "+str(b)) fonction.update_layout( title = { 'y':0.9, 'x':0.5, 'xanchor': 'center', 'yanchor': 'top'}), fonction.update_layout( xaxis_title="X", yaxis_title="Y", legend_title="Functions", font=dict( family="-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif", size=13, color="black" ) ) if (form == 'apos'): a = random.randint(0,10) b = random.randint(-10,10) c = random.randint(-10,10) d = random.randint(-10,10) x = np.linspace(-100,100,1000) y = a*x**3 + b*x**2 + c*x + d y_prime = 3*a*x**2 + 2*b*x + c a_prime = 3*a b_prime = 2*b c_prime = c fonction = go.Figure(data=go.Scatter(x=x, y=y, name ="f(X)")) fonction.add_trace(go.Scatter(x=x, y=y_prime, name ="f'(X)")) fonction.update_layout(title = "La fonction : "+str(a)+"x^3 + "+str(b)+"x^2 + "+str(c)+"x +"+str(d)+"<br> Sa dérivée : "+str(a_prime)+"x^2 + "+str(b_prime)+"x +"+str(c_prime)) fonction.update_layout( title = { 'y':0.9, 'x':0.5, 'xanchor': 'center', 'yanchor': 'top'}), fonction.update_layout( xaxis_title="X", yaxis_title="Y", legend_title="Functions", font=dict( family="-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif", size=13, color="black" ) ) if (form == 'aneg'): a = random.randint(-10,0) b = random.randint(-10,10) c = random.randint(-10,10) d = random.randint(-10,10) x = np.linspace(-100,100,1000) y = a*x**3 + b*x**2 + c*x + d y_prime = 3*a*x**2 + 2*b*x + c a_prime = 3*a b_prime = 2*b c_prime = c fonction = go.Figure(data=go.Scatter(x=x, y=y, name ="f(X)")) fonction.add_trace(go.Scatter(x=x, y=y_prime, name ="f'(X)")) fonction.update_layout(title = "La fonction : "+str(a_prime)+"x^3 + "+str(b_prime)+"x^2 + "+str(c_prime)+"x +"+str(d)+"<br> Sa dérivée : "+str(3*a_prime)+"x^2 + "+str(2*b)+"x +"+str(c)) fonction.update_layout( title = { 'y':0.9, 'x':0.5, 'xanchor': 'center', 'yanchor': 'top'}), fonction.update_layout( xaxis_title="X", yaxis_title="Y", legend_title="Functions", font=dict( family="-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif", size=13, color="black" ) ) return fonction @app.callback( Output(component_id='suite', component_property='figure'), [Input(component_id='monotonie', component_property='value')] ) def suite_output(monotonie): suite = px.bar() if (monotonie == 'acroi'): U1 = random.randint(-10,10) r = random.randint(0,10) n = random.randint(50,100) Un = U1 + (n-1)*r X = [(n_loc) for n_loc in range(1,n+1)] Y = [U1 + (n_loc-1)*r for n_loc in range(1,n+1)] df = pd.DataFrame(X,Y) suite = px.bar(df, x=X, y=Y) suite.update_layout(title = "La suite : Un = "+str(U1)+" + (n-1)x"+str(r)+"<br> C'est une suite arithmétique croissante") suite.update_layout( title = { 'y':0.95, 'x':0.5, 'xanchor': 'center', 'yanchor': 'top'}) suite.update_layout( xaxis_title="n", yaxis_title="Un", font=dict( family="-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif", size=13, color="black" ) ) if (monotonie == 'adecroi'): U1 = random.randint(-10,10) r = random.randint(-10,0) n = random.randint(50,100) Un = U1 + (n-1)*r X = [(n_loc) for n_loc in range(1,n+1)] Y = [U1 + (n_loc-1)*r for n_loc in range(1,n+1)] df = pd.DataFrame(X,Y) suite = px.bar(df, x=X, y=Y) suite.update_layout(title = "La suite : Un = "+str(U1)+" + (n-1)"+str(r)+"<br> C'est une suite arithmétique décroissante") suite.update_layout( title = { 'y':0.95, 'x':0.5, 'xanchor': 'center', 'yanchor': 'top'}) suite.update_layout( xaxis_title="n", yaxis_title="Un", font=dict( family="-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif", size=13, color="black" ) ) if (monotonie == 'gcroi'): U1 = random.randint(-10,10) q = random.randint(2,5) n = random.randint(3,6) Un = U1 + q**(n-1) X = [(n_loc) for n_loc in range(1,n+1)] Y = [U1 + q**(n_loc-1) for n_loc in range(1,n+1)] df = pd.DataFrame(X,Y) suite = px.bar(df, x=X, y=Y) suite.update_layout(title = "La suite : Un = "+str(U1)+" + "+str(q)+"^(n-1)<br> C'est une suite géométrique croissante") suite.update_layout( title = { 'y':0.95, 'x':0.5, 'xanchor': 'center', 'yanchor': 'top'}) suite.update_layout( xaxis_title="n", yaxis_title="Un", font=dict( family="-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif", size=13, color="black" ) ) if (monotonie == 'gdecroi'): U1 = random.randint(-10,10) q = np.random.choice([1/4,1/2,3/4,1]) n = random.randint(3,6) Un = U1 + q**(n-1) X = [(n_loc) for n_loc in range(1,n+1)] Y = [U1 + q**(n_loc-1) for n_loc in range(1,n+1)] df = pd.DataFrame(X,Y) suite = px.bar(df, x=X, y=Y) suite.update_layout(title = "La suite : Un = "+str(U1)+" + "+str(q)+"^(n-1) <br> C'est une suite géométrique décroissante") suite.update_layout( title = { 'y':0.95, 'x':0.5, 'xanchor': 'center', 'yanchor': 'top'}) suite.update_layout( xaxis_title="n", yaxis_title="Un", font=dict( family="-apple-system, BlinkMacSystemFont, 'Segoe UI', Roboto, Oxygen, Ubuntu, Cantarell, 'Open Sans', 'Helvetica Neue', sans-serif", size=13, color="black" ) ) return suite @app.callback( Output(component_id='produit', component_property='figure'), [Input(component_id='new', component_property='value')] ) def produit_scalaire(new): produit = go.Figure() if (new == 'A'): x1 = random.randint(-10,10) y1 = random.randint(-10,10) A=(x1,y1) x2 = random.randint(-10,10) y2 = random.randint(-10,10) B=(x2,y2) x3 = random.randint(-10,10) y3 = random.randint(-10,10) C=(x3,y3) x4 = random.randint(-10,10) y4 = random.randint(-10,10) D=(x4,y4) u = (x2-x1,y2-y1) v = (x4-x3,y4-y3) df2 = {'xAB': [x1, x2], 'xCD': [x3, x4], 'yAB': [y1, y2], 'yCD': [y3, y4], } df2 = pd.DataFrame(df2, columns=['xAB', 'xCD', 'yAB', 'yCD']) produit.add_trace(go.Scatter(x=df2['xAB'], y=df2['yAB'], marker = dict( size = 10 ), mode='lines+markers', name='AB')) produit.add_trace(go.Scatter(x=df2['xCD'], y=df2['yCD'], marker = dict( size = 10 ), mode='lines+markers', name='CD')) produit.update_layout(yaxis=dict(scaleanchor="x", scaleratio=1)) produit.update_layout(title = "Le vecteur AB : "+str(u)+"<br> Le vecteur CD : "+str(v)+"<br> Le produit scalaire vaut : "+str(((x2-x1)*(x4-x3))+((y2-y1)*(y4-y3)))) produit.update_layout( title = { 'y':0.95, 'x':0.5, 'xanchor': 'center', 'yanchor': 'top'}) if (new == 'O'): x1 = random.randint(-10,10) y1 = random.randint(-10,10) A=(x1,y1) x2 = x1 + random.randint(0,5) y2 = y1 + random.randint(0,5) B=(x2,y2) u = (x2-x1,y2-y1) x3 = random.randint(-10,10) y3 = random.randint(-10,10) x4 = x3 + random.randint(0,5) while (y2 - y1 == 0): x1 = random.randint(-10,10) y1 = random.randint(-10,10) A=(x1,y1) x2 = x1 + random.randint(0,5) y2 = y1 + random.randint(0,5) B=(x2,y2) u = (x2-x1,y2-y1) x3 = random.randint(-10,10) y3 = random.randint(-10,10) x4 = x3 + random.randint(0,5) y4 = (-(x2-x1)*(x4-x3))/(y2-y1) + y3 v = (x4-x3,y4-y3) df2 = {'xAB': [x1, x2], 'xCD': [x3, x4], 'yAB': [y1, y2], 'yCD': [y3, y4], } df2 = pd.DataFrame(df2, columns=['xAB', 'xCD', 'yAB', 'yCD']) produit.add_trace(go.Scatter(x=df2['xAB'], y=df2['yAB'], marker = dict( size = 10 ), mode='markers+lines', name='AB')) produit.add_trace(go.Scatter(x=df2['xCD'], y=df2['yCD'], marker = dict( size = 10 ), mode='markers+lines', name='CD')) produit.update_layout(yaxis=dict(scaleanchor="x", scaleratio=1)) produit.update_layout(title = "Le vecteur AB : "+str(u)+"<br> Le vecteur CD : "+str(v)+"<br> Le produit scalaire vaut : "+str((x2-x1)*(x4-x3)+(y2-y1)*(y4-y3))) produit.update_layout( title = { 'y':0.95, 'x':0.5, 'xanchor': 'center', 'yanchor': 'top'}) return produit @app.callback( Output(component_id='droites', component_property='figure'), [Input(component_id='type', component_property='value')] ) def droite(type): droites = go.Figure() if (type == 'a'): droites = go.Figure() a1 = random.randint(1,10) b1 = random.randint(-10,10) a2 = random.randint(1,10) b2 = random.randint(0,10) x = np.linspace(-20,20,1000) y1 = a1*x + b1 y2 = a2*x + b2 droites = go.Figure(data=go.Scatter(x=x, y=y1, name = "y1")) droites.add_trace(go.Scatter(x=x, y=y2, name = "y2")) droites.update_layout(title = "La droite y1 : "+str(a1)+"x + "+str(b1)+"<br> La droite y2 : "+str(a2)+"x + "+str(b2)) droites.update_layout( title = { 'y':0.9, 'x':0.5, 'xanchor': 'center', 'yanchor': 'top'}) if (type == 'o'): a1 = random.randint(1,10) b1 = choice([i for i in range(-11,11) if i != 0]) a2 = -(1/a1) b2 = random.randint(0,10) x = np.linspace(-20,20,1000) y1 = a1*x + b1 y2 = a2*x + b2 droites = go.Figure(data=go.Scatter(x=x, y=y1, name = "y1")) droites.add_trace(go.Scatter(x=x, y=y2, name = "y2")) droites.update_layout(title = "La droite y1 : "+str(a1)+"x + "+str(b1)+"<br> La droite y2 : "+str(a2)+"x + "+str(b2)) droites.update_layout( title = { 'y':0.9, 'x':0.5, 'xanchor': 'center', 'yanchor': 'top'}) droites.update_layout(yaxis=dict(scaleanchor="x", scaleratio=1)) if (type == 'p'): droites = go.Figure() a1 = random.randint(-10,10) b1 = random.randint(-10,10) a2 = a1 b2 = random.randint(-10,10) x = np.linspace(-20,20,1000) y1 = a1*x + b1 y2 = a2*x + b2 droites = go.Figure(data=go.Scatter(x=x, y=y1, name = "y1")) droites.add_trace(go.Scatter(x=x, y=y2, name = "y2")) droites.update_layout(title = "La droite y1 : "+str(a1)+"x + "+str(b1)+"<br> La droite y2 : "+str(a2)+"x + "+str(b2)) droites.update_layout( title = { 'y':0.9, 'x':0.5, 'xanchor': 'center', 'yanchor': 'top'}) return droites if __name__ == '__main__': app.run_server(debug=True)

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null

0

7

da85933889a8a9a349f9071cf367f610e35c3991

29

py

Python

src/stackoverflow/59179990/otherModule.py

mrdulin/python-codelab

3d960a14a96b3a673b7dc2277d202069b1f8e778

[ "MIT" ]

null

src/stackoverflow/59179990/otherModule.py

mrdulin/python-codelab

3d960a14a96b3a673b7dc2277d202069b1f8e778

[ "MIT" ]

null

src/stackoverflow/59179990/otherModule.py

mrdulin/python-codelab

3d960a14a96b3a673b7dc2277d202069b1f8e778

[ "MIT" ]

3

2020-02-19T08:02:04.000Z

2021-06-08T13:27:51.000Z

def B(x, y): print(x, y)

9.666667

15

0.448276

7

29

1.857143

0.714286

0.307692

0

0.310345

29

2

16

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null

0

1

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1

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7

e50669d9b17c12a4d14527ddd64257104ff4ac87

125

py

Python

src/ralph/util/demo/core/__init__.py

fossabot/ralph

9ceeec52e3fc85a589c2e5766597a7c67c4e4aa2

[ "Apache-2.0" ]

1

2018-09-01T14:14:08.000Z

src/ralph/util/demo/core/__init__.py

srikanth4372/sample

127b5742ae464d42909a14d71e3c10c241ec3a23

[ "Apache-2.0" ]

1

2019-08-14T10:03:45.000Z

src/ralph/util/demo/core/__init__.py

srikanth4372/sample

127b5742ae464d42909a14d71e3c10c241ec3a23

[ "Apache-2.0" ]

1

2019-08-14T09:59:42.000Z

# -*- coding: utf-8 -*- from ralph.util.demo.core.discovery import * # noqa from ralph.util.demo.core.cmdb import * # noqa

31.25

52

0.68

19

125

4.473684

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125

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41.666667

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1

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null

1

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null

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1

0

1

0

1

0

8

e51a5d3c293d3beb666b4b87b0d73303f67209ac

75

py

Python

adder.py

ShadenSmith/practice-azure-pipelines

6c7e964d33d7bb12bc910466a5bc678bced567a7

[ "MIT" ]

null

adder.py

ShadenSmith/practice-azure-pipelines

6c7e964d33d7bb12bc910466a5bc678bced567a7

[ "MIT" ]

null

adder.py

ShadenSmith/practice-azure-pipelines

6c7e964d33d7bb12bc910466a5bc678bced567a7

[ "MIT" ]

null

def add(x, y): return x + y def add3(x, y, z): return x + y + z

9.375

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0.466667

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75

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null

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7

e524ceaf28df96bbe193c2cc37b46f04e5d293a6

15,810

py

Python

test/test_replay.py

nerdoid/dqn

a51993ea1a3b062ac93ac87fd1817fddfec4c41d

[ "MIT" ]

null

test/test_replay.py

nerdoid/dqn

a51993ea1a3b062ac93ac87fd1817fddfec4c41d

[ "MIT" ]

null

test/test_replay.py

nerdoid/dqn

a51993ea1a3b062ac93ac87fd1817fddfec4c41d

[ "MIT" ]

null

"""Tests for replay memory""" import numpy as np import tensorflow as tf from hedonist.replay import Replay class TestReplay: def setup_method(self): self.sess = tf.Session() def test_add_same_frame_repeatedly(self): """Mimic the initial state wherein the first frame is duplicated history_length times to populate replay for first retrieved state """ self.replay = Replay(self.sess, 10, (3, 4), 4, 3, 6) self.sess.run(tf.global_variables_initializer()) frame = np.array( [ [0, 63, 127, 191], [255, 191, 127, 63], [127, 191, 255, 0] ] ) action = 0 reward = 0.0 terminal = False for _ in range(4): self.replay.insert(frame, action, reward, terminal) expected = np.array( [ [ [0, 0, 0, 0], [63, 63, 63, 63], [127, 127, 127, 127], [191, 191, 191, 191] ], [ [255, 255, 255, 255], [191, 191, 191, 191], [127, 127, 127, 127], [63, 63, 63, 63] ], [ [127, 127, 127, 127], [191, 191, 191, 191], [255, 255, 255, 255], [0, 0, 0, 0] ] ] ) result = self.replay.get_current_state() assert np.array_equal(result, expected) def test_add_unique_frames(self): """Mimic a state that is populated with unique consecutive frames""" self.replay = Replay(self.sess, 10, (3, 4), 4, 3, 6) self.sess.run(tf.global_variables_initializer()) frame_1 = np.array( [ [11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34] ] ) frame_2 = np.array( [ [41, 42, 43, 44], [51, 52, 53, 54], [61, 62, 63, 64] ] ) frame_3 = np.array( [ [71, 72, 73, 74], [81, 82, 83, 84], [91, 92, 93, 94] ] ) frame_4 = np.array( [ [101, 102, 103, 104], [111, 112, 113, 114], [121, 122, 123, 124] ] ) action = 0 reward = 0.0 terminal = False for frame in [frame_1, frame_2, frame_3, frame_4]: self.replay.insert(frame, action, reward, terminal) expected = np.array( [ [ [11, 41, 71, 101], [12, 42, 72, 102], [13, 43, 73, 103], [14, 44, 74, 104] ], [ [21, 51, 81, 111], [22, 52, 82, 112], [23, 53, 83, 113], [24, 54, 84, 114] ], [ [31, 61, 91, 121], [32, 62, 92, 122], [33, 63, 93, 123], [34, 64, 94, 124] ] ] ) result = self.replay.get_current_state() assert np.array_equal(result, expected) def add_test_frames(self, actions, rewards, terminals): frame_1 = np.array( [ [11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34] ] ) frame_2 = np.array( [ [41, 42, 43, 44], [51, 52, 53, 54], [61, 62, 63, 64] ] ) frame_3 = np.array( [ [71, 72, 73, 74], [81, 82, 83, 84], [91, 92, 93, 94] ] ) frame_4 = np.array( [ [101, 102, 103, 104], [111, 112, 113, 114], [121, 122, 123, 124] ] ) advance_frame = np.array( [ [127, 127, 127, 127], [191, 191, 191, 191], [255, 255, 255, 255] ] ) frames = [frame_1, frame_2, frame_3, frame_4, advance_frame] for i in range(5): self.replay.insert(frames[i], actions[i], rewards[i], terminals[i]) def test_advance_state_window(self): """Does it return the most recent history_length frames, ignoring frames outside of the window? """ self.replay = Replay(self.sess, 10, (3, 4), 4, 3, 6) self.sess.run(tf.global_variables_initializer()) actions = [0] * 5 rewards = [0.0] * 5 terminals = [False] * 5 self.add_test_frames(actions, rewards, terminals) expected = np.array( [ [ [41, 71, 101, 127], [42, 72, 102, 127], [43, 73, 103, 127], [44, 74, 104, 127] ], [ [51, 81, 111, 191], [52, 82, 112, 191], [53, 83, 113, 191], [54, 84, 114, 191] ], [ [61, 91, 121, 255], [62, 92, 122, 255], [63, 93, 123, 255], [64, 94, 124, 255] ] ] ) result = self.replay.get_current_state() assert np.array_equal(result, expected) def test_wrap(self): """Mimic adding past the capacity of the replay memory""" self.replay = Replay(self.sess, 4, (3, 4), 4, 3, 6) self.sess.run(tf.global_variables_initializer()) frame_1 = np.array( [ [11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34] ] ) frame_2 = np.array( [ [41, 42, 43, 44], [51, 52, 53, 54], [61, 62, 63, 64] ] ) frame_3 = np.array( [ [71, 72, 73, 74], [81, 82, 83, 84], [91, 92, 93, 94] ] ) frame_4 = np.array( [ [101, 102, 103, 104], [111, 112, 113, 114], [121, 122, 123, 124] ] ) wrap_frame = np.array( [ [127, 127, 127, 127], [191, 191, 191, 191], [255, 255, 255, 255] ] ) frames = [frame_1, frame_2, frame_3, frame_4, wrap_frame] action = 0 reward = 0.0 terminal = False for frame in frames: self.replay.insert(frame, action, reward, terminal) expected = np.array( [ [ [41, 71, 101, 127], [42, 72, 102, 127], [43, 73, 103, 127], [44, 74, 104, 127] ], [ [51, 81, 111, 191], [52, 82, 112, 191], [53, 83, 113, 191], [54, 84, 114, 191] ], [ [61, 91, 121, 255], [62, 92, 122, 255], [63, 93, 123, 255], [64, 94, 124, 255] ] ] ) result = self.replay.get_current_state() assert np.array_equal(result, expected) def test_single_sample(self): """Verify a single sample""" self.replay = Replay(self.sess, 10, (3, 4), 4, 1, 6) self.sess.run(tf.global_variables_initializer()) actions = [0, 1, 2, 3, 4] rewards = [0.0, -1.0, 2.0, 0.0, 3.0] terminals = [False, False, False, False, True] self.add_test_frames(actions, rewards, terminals) sample = self.replay.sample() expected_first_state = np.array([ [ [ [11, 41, 71, 101], [12, 42, 72, 102], [13, 43, 73, 103], [14, 44, 74, 104] ], [ [21, 51, 81, 111], [22, 52, 82, 112], [23, 53, 83, 113], [24, 54, 84, 114] ], [ [31, 61, 91, 121], [32, 62, 92, 122], [33, 63, 93, 123], [34, 64, 94, 124] ] ] ]) expected_next_state = np.array([ [ [ [41, 71, 101, 127], [42, 72, 102, 127], [43, 73, 103, 127], [44, 74, 104, 127] ], [ [51, 81, 111, 191], [52, 82, 112, 191], [53, 83, 113, 191], [54, 84, 114, 191] ], [ [61, 91, 121, 255], [62, 92, 122, 255], [63, 93, 123, 255], [64, 94, 124, 255] ] ] ]) assert len(sample) == 5 assert np.array_equal(sample[0], expected_first_state) assert np.array_equal(sample[1], np.array([[0, 0, 0, 0, 1, 0]])) assert np.array_equal(sample[2], np.array([3])) assert np.array_equal(sample[3], expected_next_state) assert np.array_equal(sample[4], np.array([True])) def test_no_terminals_in_first_state_1(self): """Verify that the sample is not the one with a terminal in the first state. """ self.replay = Replay(self.sess, 10, (3, 4), 4, 1, 6) self.sess.run(tf.global_variables_initializer()) actions = [0, 1, 2, 3, 4] rewards = [0.0, -1.0, 2.0, 0.0, 3.0] terminals = [False, False, False, False, True] self.add_test_frames(actions, rewards, terminals) frame = np.array( [ [95, 95, 95, 95], [159, 159, 159, 159], [221, 221, 221, 221] ] ) self.replay.insert(frame, 3, 1.0, False) sample = self.replay.sample() expected_first_state = np.array([ [ [ [11, 41, 71, 101], [12, 42, 72, 102], [13, 43, 73, 103], [14, 44, 74, 104] ], [ [21, 51, 81, 111], [22, 52, 82, 112], [23, 53, 83, 113], [24, 54, 84, 114] ], [ [31, 61, 91, 121], [32, 62, 92, 122], [33, 63, 93, 123], [34, 64, 94, 124] ] ] ]) expected_next_state = np.array([ [ [ [41, 71, 101, 127], [42, 72, 102, 127], [43, 73, 103, 127], [44, 74, 104, 127] ], [ [51, 81, 111, 191], [52, 82, 112, 191], [53, 83, 113, 191], [54, 84, 114, 191] ], [ [61, 91, 121, 255], [62, 92, 122, 255], [63, 93, 123, 255], [64, 94, 124, 255] ] ] ]) assert len(sample) == 5 assert np.array_equal(sample[0], expected_first_state) assert np.array_equal(sample[1], np.array([[0, 0, 0, 0, 1, 0]])) assert np.array_equal(sample[2], np.array([3])) assert np.array_equal(sample[3], expected_next_state) assert np.array_equal(sample[4], np.array([True])) def test_no_terminals_in_first_state_2(self): """Verify that the sample is not the one with a terminal in the first state. """ self.replay = Replay(self.sess, 10, (3, 4), 4, 1, 6) self.sess.run(tf.global_variables_initializer()) actions = [0, 1, 2, 3, 4] rewards = [0.0, -1.0, 2.0, 0.0, 3.0] terminals = [True, False, False, False, False] self.add_test_frames(actions, rewards, terminals) frame = np.array( [ [95, 95, 95, 95], [159, 159, 159, 159], [221, 221, 221, 221] ] ) self.replay.insert(frame, 3, 1.0, True) sample = self.replay.sample() expected_first_state = np.array([ [ [ [41, 71, 101, 127], [42, 72, 102, 127], [43, 73, 103, 127], [44, 74, 104, 127] ], [ [51, 81, 111, 191], [52, 82, 112, 191], [53, 83, 113, 191], [54, 84, 114, 191] ], [ [61, 91, 121, 255], [62, 92, 122, 255], [63, 93, 123, 255], [64, 94, 124, 255] ] ] ]) expected_next_state = np.array([ [ [ [71, 101, 127, 95], [72, 102, 127, 95], [73, 103, 127, 95], [74, 104, 127, 95] ], [ [81, 111, 191, 159], [82, 112, 191, 159], [83, 113, 191, 159], [84, 114, 191, 159] ], [ [91, 121, 255, 221], [92, 122, 255, 221], [93, 123, 255, 221], [94, 124, 255, 221] ] ] ]) assert len(sample) == 5 assert np.array_equal(sample[0], expected_first_state) assert np.array_equal(sample[1], np.array([[0, 0, 0, 1, 0, 0]])) assert np.array_equal(sample[2], np.array([1.0])) assert np.array_equal(sample[3], expected_next_state) assert np.array_equal(sample[4], np.array([True])) def test_sample_alignment(self): """Verify that sample data lines up""" self.replay = Replay(self.sess, 10, (3, 4), 4, 32, 6) self.sess.run(tf.global_variables_initializer()) actions = [0, 1, 2, 3, 4, 5, 0, 1, 2, 3] rewards = [0.0, 1.0, 2.0, 3.0, 4.0, 5.0, -1.0, -2.0, -3.0, -4.0] terminals = [ False, False, False, True, False, False, False, False, False, False ] frame = np.array( [ [1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3] ] ) for i in range(len(actions)): self.replay.insert(frame * i, actions[i], rewards[i], terminals[i]) batch = self.replay.sample() b_frames1, b_actions, b_rewards, b_frames2, b_terminals = batch for sample_i, r in enumerate(b_rewards): input_i = rewards.index(r) b_action = np.nonzero(b_actions[sample_i])[0][0] assert b_action == actions[input_i] assert b_terminals[sample_i] == terminals[input_i]

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e53926b5d81a98430a29bd0256795793d924be3e

33,456

py

Python

Account/app/mod_database/helpers.py

TamSzaGot/mydata-sdk

9c8afb75077f0b993819aa534b904501a8112f76

[ "MIT" ]

4

2018-04-21T00:46:40.000Z

2019-12-03T13:52:03.000Z

Account/app/mod_database/helpers.py

TamSzaGot/mydata-sdk

9c8afb75077f0b993819aa534b904501a8112f76

[ "MIT" ]

1

2019-01-09T10:45:23.000Z

Account/app/mod_database/helpers.py

TamSzaGot/mydata-sdk

9c8afb75077f0b993819aa534b904501a8112f76

[ "MIT" ]

4

2018-04-21T01:12:12.000Z

2020-09-24T06:19:29.000Z

# -*- coding: utf-8 -*- """ __author__ = "Jani Yli-Kantola" __copyright__ = "" __credits__ = ["Harri Hirvonsalo", "Aleksi Palomäki"] __license__ = "MIT" __version__ = "1.3.0" __maintainer__ = "Jani Yli-Kantola" __contact__ = "https://github.com/HIIT/mydata-stack" __status__ = "Development" """ # Import dependencies from flask import current_app from app.helpers import get_custom_logger from app.app_modules import db logger = get_custom_logger(__name__) def log_query(sql_query=None, arguments=None): logger.info("Executing") if sql_query is None: raise AttributeError("Provide sql_query as parameter") if arguments is None: raise AttributeError("Provide arguments as parameter") logger.debug('sql_query: ' + repr(sql_query)) for index in range(len(arguments)): logger.debug("arguments[" + str(index) + "]: " + str(arguments[index])) logger.debug('SQL query to execute: ' + repr(sql_query % arguments)) def get_db_cursor(): logger.info("Executing") try: cursor = db.connection.cursor() except Exception as exp: logger.debug('db.connection.cursor(): ' + repr(exp)) raise RuntimeError('Could not get cursor for database connection') else: logger.debug('DB cursor at ' + repr(cursor)) return cursor def execute_sql_insert(cursor, sql_query): """ :param cursor: :param sql_query: :return: cursor: :return: last_id: INSERT to MySQL """ logger.info("Executing") last_id = "" if current_app.config["SUPER_DEBUG"]: logger.debug('sql_query: ' + repr(sql_query)) try: # Should be done like here: http://stackoverflow.com/questions/3617052/escape-string-python-for-mysql/27575399#27575399 cursor.execute(sql_query) except Exception as exp: logger.debug('Error in SQL query execution: ' + repr(exp)) raise try: last_id = str(cursor.lastrowid) except Exception as exp: logger.debug('cursor.lastrowid not found: ' + repr(exp)) raise else: logger.debug('cursor.lastrowid: ' + last_id) return cursor, last_id def execute_sql_insert_2(cursor, sql_query, arguments): """ :param cursor: :param sql_query: :return: cursor: :return: last_id: INSERT to MySQL """ logger.info("Executing") last_id = "" log_query(sql_query=sql_query, arguments=arguments) try: # Should be done like here: http://stackoverflow.com/questions/3617052/escape-string-python-for-mysql/27575399#27575399 cursor.execute(sql_query, (arguments)) logger.debug("Executed SQL query: " + str(cursor._last_executed)) logger.debug("Affected rows: " + str(cursor.rowcount)) except Exception as exp: logger.debug('Error in SQL query execution: ' + repr(exp)) raise try: last_id = str(cursor.lastrowid) except Exception as exp: logger.debug('cursor.lastrowid not found: ' + repr(exp)) raise else: logger.debug('cursor.lastrowid: ' + last_id) return cursor, last_id def execute_sql_update(cursor, sql_query, arguments): """ :param arguments: :param cursor: :param sql_query: :return: cursor: INSERT to MySQL """ logger.info("Executing") logger.debug('sql_query: ' + str(sql_query)) for index in range(len(arguments)): logger.debug("arguments[" + str(index) + "]: " + str(arguments[index])) try: # Should be done like here: http://stackoverflow.com/questions/3617052/escape-string-python-for-mysql/27575399#27575399 cursor.execute(sql_query, (arguments)) logger.debug("Executed SQL query: " + str(cursor._last_executed)) logger.debug("Affected rows SQL query: " + str(cursor.rowcount)) except Exception as exp: logger.debug('Error in SQL query execution: ' + repr(exp)) raise else: logger.debug('db entry updated') return cursor def execute_sql_select(cursor=None, sql_query=None): """ :param cursor: :param sql_query: :return: cursor: :return: last_id: SELECT from MySQL """ logger.info("Executing") if current_app.config["SUPER_DEBUG"]: logger.debug('sql_query: ' + repr(sql_query)) try: cursor.execute(sql_query) except Exception as exp: logger.debug('Error in SQL query execution: ' + repr(exp)) raise try: data = cursor.fetchall() except Exception as exp: logger.debug('cursor.fetchall() failed: ' + repr(exp)) data = 'No content' if current_app.config["SUPER_DEBUG"]: logger.debug('data ' + repr(data)) return cursor, data def execute_sql_select_2(cursor=None, sql_query=None, arguments=None): """ :param cursor: :param sql_query: :return: cursor: :return: last_id: SELECT from MySQL """ logger.info("Executing") log_query(sql_query=sql_query, arguments=arguments) try: cursor.execute(sql_query, (arguments)) logger.debug("Executed SQL query: " + str(cursor._last_executed)) logger.debug("Affected rows: " + str(cursor.rowcount)) except Exception as exp: logger.debug('Error in SQL query execution: ' + repr(exp)) raise try: data = cursor.fetchall() except Exception as exp: logger.debug('cursor.fetchall() failed: ' + repr(exp)) data = 'No content' logger.debug('data ' + repr(data)) return cursor, data def execute_sql_count(cursor=None, sql_query=None): """ :param cursor: :param sql_query: :return: cursor: :return: last_id: SELECT from MySQL """ logger.info("Executing") consent_count = 0 if current_app.config["SUPER_DEBUG"]: logger.debug('sql_query: ' + repr(sql_query)) try: cursor.execute(sql_query) except Exception as exp: logger.debug('Error in SQL query execution: ' + repr(exp)) raise try: data = cursor.fetchone() if current_app.config["SUPER_DEBUG"]: logger.debug('data: ' + repr(data)) consent_count = int(data[0]) except Exception as exp: logger.debug('cursor.fetchone() failed: ' + repr(exp)) if current_app.config["SUPER_DEBUG"]: logger.debug('data ' + repr(data)) return cursor, consent_count def drop_table_content(): """ http://stackoverflow.com/questions/5452760/truncate-foreign-key-constrained-table/5452798#5452798 Drop table content """ logger.info("Executing") try: cursor = get_db_cursor() except Exception as exp: logger.debug('Could not get db cursor: ' + repr(exp)) raise sql_query = "SELECT Concat('TRUNCATE TABLE ',table_schema,'.',TABLE_NAME, ';') " \ "FROM INFORMATION_SCHEMA.TABLES where table_schema in ('MyDataAccount');" try: cursor.execute(sql_query) except Exception as exp: logger.debug('Error in SQL query execution: ' + repr(exp)) db.connection.rollback() raise else: sql_queries = cursor.fetchall() logger.debug("Fetched sql_queries: " + repr(sql_queries)) try: logger.debug("SET FOREIGN_KEY_CHECKS = 0;") cursor.execute("SET FOREIGN_KEY_CHECKS = 0;") for query in sql_queries: logger.debug("Executing: " + str(query[0])) sql_query = str(query[0]) cursor.execute(sql_query) except Exception as exp: logger.debug('Error in SQL query execution: ' + repr(exp)) db.connection.rollback() logger.debug("SET FOREIGN_KEY_CHECKS = 1;") cursor.execute("SET FOREIGN_KEY_CHECKS = 1;") raise else: db.connection.commit() logger.debug("Committed") logger.debug("SET FOREIGN_KEY_CHECKS = 1;") cursor.execute("SET FOREIGN_KEY_CHECKS = 1;") return True def delete_account_from_database(account_id=None): """ Delete all entries related to Account """ logger.info("Executing") if account_id is None: raise AttributeError("Provide account_id as parameter") if not isinstance(account_id, int): try: account_id = int(account_id) except Exception as exp: logger.error("account_id has wrong type: " + repr(type(account_id)) + ' - ' + repr(exp)) raise TypeError("account_id MUST be int") else: logger.info("account_id: " + str(account_id)) try: cursor = get_db_cursor() except Exception as exp: logger.debug('Could not get db cursor: ' + repr(exp)) raise sql_query_for_account_table = "DELETE FROM MyDataAccount.Accounts WHERE id = {0};".format(account_id) sql_query = "SELECT Concat('DELETE FROM ',table_schema,'.',TABLE_NAME, ' ', 'WHERE Accounts_id = %s',';') " \ "FROM INFORMATION_SCHEMA.TABLES where table_schema in ('MyDataAccount');" arguments = ( int(account_id), ) try: log_query(sql_query=sql_query, arguments=arguments) cursor.execute(sql_query, (arguments)) except Exception as exp: logger.debug('Error in SQL query execution: ' + repr(exp)) db.connection.rollback() raise else: sql_queries = cursor.fetchall() logger.debug("Fetched sql_queries: " + repr(sql_queries)) try: logger.debug("SET FOREIGN_KEY_CHECKS = 0;") cursor.execute("SET FOREIGN_KEY_CHECKS = 0;") for query in sql_queries: if "MyDataAccount.Accounts" in query[0]: # MyDataAccount.Accounts table has to skipped here because missing table column "Accounts_id" logger.debug("Skipping MyDataAccount.Accounts table because missing table column Accounts_id") else: logger.debug("Executing: " + str(query[0])) sql_query = str(query[0]) cursor.execute(sql_query) logger.debug("Executing: " + str(sql_query_for_account_table)) # Handling MyDataAccount.Accounts cursor.execute(sql_query_for_account_table) except Exception as exp: logger.debug('Error in SQL query execution: ' + repr(exp)) db.connection.rollback() logger.debug("SET FOREIGN_KEY_CHECKS = 1;") cursor.execute("SET FOREIGN_KEY_CHECKS = 1;") raise else: db.connection.commit() logger.debug("Committed") logger.debug("SET FOREIGN_KEY_CHECKS = 1;") cursor.execute("SET FOREIGN_KEY_CHECKS = 1;") return True def get_primary_keys_by_account_id(cursor=None, account_id=None, table_name=None): logger.info("Executing") if cursor is None: raise AttributeError("Provide cursor as parameter") if account_id is None: raise AttributeError("Provide account_id as parameter") if table_name is None: raise AttributeError("Provide table_name as parameter") sql_query = "SELECT id " \ "FROM " + table_name + " " \ "WHERE Accounts_id LIKE %s;" arguments = ( '%' + str(account_id) + '%', ) try: cursor, data = execute_sql_select_2(cursor=cursor, sql_query=sql_query, arguments=arguments) except Exception as exp: logger.debug('sql_query: ' + repr(exp)) raise else: logger.debug("Got data: " + repr(data)) if len(data) == 0: logger.error("IndexError('DB query returned no results')") raise IndexError("DB query returned no results") logger.debug("Got data[0]: " + repr(data[0])) data_list = list(data[0]) logger.info("Got data_list: " + repr(data_list)) for i in range(len(data_list)): data_list[i] = str(data_list[i]) id_list = data_list logger.info("Got id_list: " + repr(id_list)) return cursor, id_list def get_slr_ids(cursor=None, account_id=None, table_name=None): logger.info("Executing") if cursor is None: raise AttributeError("Provide cursor as parameter") if account_id is None: raise AttributeError("Provide account_id as parameter") if table_name is None: raise AttributeError("Provide table_name as parameter") sql_query = "SELECT serviceLinkRecordId " \ "FROM " + table_name + " " \ "WHERE Accounts_id LIKE %s;" arguments = ( '%' + str(account_id) + '%', ) try: cursor, data = execute_sql_select_2(cursor=cursor, sql_query=sql_query, arguments=arguments) except Exception as exp: logger.debug('sql_query: ' + repr(exp)) raise else: logger.debug("Got data: " + repr(data)) #logger.debug("Got data[0]: " + repr(data[0])) data_list = list(data) logger.info("Got data_list: " + repr(data_list)) if len(data) == 0: logger.error("IndexError('DB query returned no results')") raise IndexError("DB query returned no results") for i in range(len(data_list)): data_list[i] = str(data_list[i][0]) logger.info("Formatted data_list: " + repr(data_list)) id_list = data_list logger.info("Got id_list: " + repr(id_list)) return cursor, id_list def get_slr_ids_by_service(cursor=None, service_id=None, surrogate_id="", account_id="", table_name=None): logger.info("Executing") if cursor is None: raise AttributeError("Provide cursor as parameter") if service_id is None: raise AttributeError("Provide service_id as parameter") if surrogate_id is None: raise AttributeError("Provide surrogate_id as parameter") if account_id is None: raise AttributeError("Provide account_id as parameter") if table_name is None: raise AttributeError("Provide table_name as parameter") sql_query = "SELECT serviceLinkRecordId " \ "FROM " + table_name + " " \ "WHERE serviceId LIKE %s AND surrogateId LIKE %s AND Accounts_id LIKE %s;" arguments = ( '%' + str(service_id) + '%', '%' + str(surrogate_id) + '%', '%' + str(account_id) + '%', ) try: cursor, data = execute_sql_select_2(cursor=cursor, sql_query=sql_query, arguments=arguments) except Exception as exp: logger.debug('sql_query: ' + repr(exp)) raise else: logger.debug("Got data: " + repr(data)) #logger.debug("Got data[0]: " + repr(data[0])) data_list = list(data) logger.info("Got data_list: " + repr(data_list)) if len(data) == 0: logger.error("IndexError('DB query returned no results')") raise IndexError("DB query returned no results") for i in range(len(data_list)): data_list[i] = str(data_list[i][0]) logger.info("Formatted data_list: " + repr(data_list)) id_list = data_list logger.info("Got id_list: " + repr(id_list)) return cursor, id_list def get_slsr_ids(cursor=None, slr_id=None, table_name=None): logger.info("Executing") if cursor is None: raise AttributeError("Provide cursor as parameter") if slr_id is None: raise AttributeError("Provide slr_id as parameter") if table_name is None: raise AttributeError("Provide table_name as parameter") sql_query = "SELECT serviceLinkStatusRecordId " \ "FROM " + table_name + " " \ "WHERE serviceLinkRecordId LIKE %s;" arguments = ( '%' + str(slr_id) + '%', ) try: cursor, data = execute_sql_select_2(cursor=cursor, sql_query=sql_query, arguments=arguments) except Exception as exp: logger.debug('sql_query: ' + repr(exp)) raise else: logger.debug("Got data: " + repr(data)) if len(data) == 0: logger.error("IndexError('DB query returned no results')") raise IndexError("DB query returned no results") logger.debug("Got data[0]: " + repr(data[0])) data_list = list(data[0]) logger.info("Got data_list: " + repr(data_list)) for i in range(len(data_list)): data_list[i] = str(data_list[i]) id_list = data_list logger.info("Got id_list: " + repr(id_list)) return cursor, id_list def get_last_slsr_id(cursor=None, slr_id=None, table_name=None): logger.info("Executing") if cursor is None: raise AttributeError("Provide cursor as parameter") if slr_id is None: raise AttributeError("Provide slr_id as parameter") if table_name is None: raise AttributeError("Provide table_name as parameter") sql_query = "SELECT serviceLinkStatusRecordId " \ "FROM " + table_name + " " \ "WHERE serviceLinkRecordId LIKE %s " \ "ORDER BY id DESC " \ "LIMIT 1;" arguments = ( '%' + str(slr_id) + '%', ) try: cursor, data = execute_sql_select_2(cursor=cursor, sql_query=sql_query, arguments=arguments) except Exception as exp: logger.debug('sql_query: ' + repr(exp)) raise else: logger.debug("Got data: " + repr(data)) if len(data) == 0: logger.error("IndexError('DB query returned no results')") raise IndexError("DB query returned no results") logger.debug("Got data[0]: " + repr(data[0])) data_list = list(data[0]) logger.info("Got data_list: " + repr(data_list)) entry_id = str(data_list[0]) logger.info("Got entry_id: " + repr(entry_id)) return cursor, entry_id def get_cr_ids(cursor=None, slr_id=None, table_name=None): logger.info("Executing") if cursor is None: raise AttributeError("Provide cursor as parameter") if slr_id is None: raise AttributeError("Provide slr_id as parameter") if table_name is None: raise AttributeError("Provide table_name as parameter") sql_query = "SELECT consentRecordId " \ "FROM " + table_name + " " \ "WHERE serviceLinkRecordId LIKE %s;" arguments = ( '%' + str(slr_id) + '%', ) try: cursor, data = execute_sql_select_2(cursor=cursor, sql_query=sql_query, arguments=arguments) except Exception as exp: logger.debug('sql_query: ' + repr(exp)) raise else: logger.debug("Got data: " + repr(data)) if len(data) == 0: logger.error("IndexError('DB query returned no results')") raise IndexError("DB query returned no results") logger.debug("Got data[0]: " + repr(data[0])) data_list = list(data[0]) logger.info("Got data_list: " + repr(data_list)) for i in range(len(data_list)): data_list[i] = str(data_list[i]) id_list = data_list logger.info("Got id_list: " + repr(id_list)) return cursor, id_list def get_csr_ids(cursor=None, cr_id=None, csr_primary_key=None, table_name=None): logger.info("Executing") if cursor is None: raise AttributeError("Provide cursor as parameter") if cr_id is None: raise AttributeError("Provide cr_id as parameter") if table_name is None: raise AttributeError("Provide table_name as parameter") if csr_primary_key is None: sql_query = "SELECT consentStatusRecordId " \ "FROM " + table_name + " " \ "WHERE consentRecordId LIKE %s;" arguments = ( '%' + str(cr_id) + '%', ) else: sql_query = "SELECT consentStatusRecordId " \ "FROM " + table_name + " " \ "WHERE consentRecordId LIKE %s AND id > %s;" arguments = ( '%' + str(cr_id) + '%', int(csr_primary_key), ) try: cursor, data = execute_sql_select_2(cursor=cursor, sql_query=sql_query, arguments=arguments) except Exception as exp: logger.debug('sql_query: ' + repr(exp)) raise else: logger.debug("Got data: " + repr(data)) if len(data) == 0: logger.error("IndexError('DB query returned no results')") raise IndexError("DB query returned no results") logger.debug("Got data[0]: " + repr(data[0])) data_list = list(data) logger.info("Got data_list: " + repr(data_list)) for i in range(len(data_list)): data_list[i] = str(data_list[i][-1]) id_list = data_list logger.info("Got id_list: " + repr(id_list)) return cursor, id_list def get_last_csr_id(cursor=None, consent_id=None, account_id="", table_name=None): logger.info("Executing") if cursor is None: raise AttributeError("Provide cursor as parameter") if table_name is None: raise AttributeError("Provide table_name as parameter") try: consent_id = str(consent_id) except Exception: raise TypeError("consent_id MUST be str, not " + str(type(consent_id))) try: account_id = int(account_id) except Exception: logger.warning("account_id SHOULD be int, not " + str(type(account_id))) logger.warning("Querying without Account ID") sql_query = "SELECT consentStatusRecordId " \ "FROM " + table_name + " " \ "WHERE consentRecordId LIKE %s " \ "ORDER BY id DESC " \ "LIMIT 1;" arguments = ( '%' + str(consent_id) + '%', ) else: logger.debug("Querying with account_id") sql_query = "SELECT consentStatusRecordId " \ "FROM " + table_name + " " \ "WHERE consentRecordId LIKE %s " \ "AND Accounts_id = %s " \ "ORDER BY id DESC " \ "LIMIT 1;" arguments = ( '%' + str(consent_id) + '%', int(account_id), ) try: cursor, data = execute_sql_select_2(cursor=cursor, sql_query=sql_query, arguments=arguments) except Exception as exp: logger.debug('sql_query: ' + repr(exp)) raise else: logger.debug("Got data: " + repr(data)) if len(data) == 0: logger.error("IndexError('DB query returned no results')") raise IndexError("DB query returned no results") logger.debug("Got data[0]: " + repr(data[0])) data_list = list(data[0]) logger.info("Got data_list: " + repr(data_list)) entry_id = str(data_list[0]) logger.info("Got entry_id: " + repr(entry_id)) return cursor, entry_id def get_account_id_by_csr_id(cursor=None, cr_id=None, acc_table_name=None, slr_table_name=None, cr_table_name=None): logger.info("Executing") if cursor is None: raise AttributeError("Provide cursor as parameter") if cr_id is None: raise AttributeError("Provide cr_id as parameter") if acc_table_name is None: raise AttributeError("Provide acc_table_name as parameter") if slr_table_name is None: raise AttributeError("Provide slr_table_name as parameter") if cr_table_name is None: raise AttributeError("Provide cr_table_name as parameter") sql_query = "SELECT `Accounts`.`id` " \ "FROM " + acc_table_name + " " \ "INNER JOIN " + slr_table_name + " on " + acc_table_name + ".`id` = " + slr_table_name + ".`Accounts_id` " \ "INNER JOIN " + cr_table_name + " on " + slr_table_name + ".`id` = " + cr_table_name + ".`ServiceLinkRecords_id` " \ "WHERE " + cr_table_name + ".`consentRecordId` LIKE %s " \ "LIMIT 1;" arguments = ( '%' + str(cr_id) + '%', ) try: cursor, data = execute_sql_select_2(cursor=cursor, sql_query=sql_query, arguments=arguments) except Exception as exp: logger.debug('sql_query: ' + repr(exp)) raise else: logger.debug("Got data: " + repr(data)) if len(data) == 0: logger.error("IndexError('DB query returned no results')") raise IndexError("DB query returned no results") logger.debug("Got data[0]: " + repr(data[0])) data_list = list(data[0]) logger.info("Got data_list: " + repr(data_list)) entry_id = str(data_list[0]) logger.info("Got entry_id: " + repr(entry_id)) return cursor, entry_id def get_consent_ids(cursor=None, surrogate_id="", slr_id="", subject_id="", consent_pair_id="", account_id="", table_name=None): logger.info("Executing") if cursor is None: raise AttributeError("Provide cursor as parameter") if table_name is None: raise AttributeError("Provide table_name as parameter") try: surrogate_id = str(surrogate_id) except Exception: raise TypeError("surrogate_id MUST be str, not " + str(type(surrogate_id))) try: slr_id = str(slr_id) except Exception: raise TypeError("slr_id MUST be str, not " + str(type(slr_id))) try: subject_id = str(subject_id) except Exception: raise TypeError("subject_id MUST be str, not " + str(type(subject_id))) try: consent_pair_id = str(consent_pair_id) except Exception: raise TypeError("consent_pair_id MUST be str, not " + str(type(consent_pair_id))) try: account_id = str(account_id) except Exception: raise TypeError("account_id MUST be str, not " + str(type(account_id))) sql_query = "SELECT consentRecordId " \ "FROM " + table_name + " " \ "WHERE surrogateId LIKE %s " \ "AND serviceLinkRecordId LIKE %s " \ "AND subjectId LIKE %s " \ "AND consentPairId LIKE %s " \ "AND Accounts_id LIKE %s;" arguments = ( '%' + str(surrogate_id) + '%', '%' + str(slr_id) + '%', '%' + str(subject_id) + '%', '%' + str(consent_pair_id) + '%', '%' + str(account_id) + '%', ) try: cursor, data = execute_sql_select_2(cursor=cursor, sql_query=sql_query, arguments=arguments) except Exception as exp: logger.debug('sql_query: ' + repr(exp)) raise else: logger.debug("Got data: " + repr(data)) #logger.debug("Got data[0]: " + repr(data[0])) data_list = list(data) logger.info("Got data_list: " + repr(data_list)) if len(data) == 0: logger.error("IndexError('DB query returned no results')") raise IndexError("DB query returned no results") for i in range(len(data_list)): data_list[i] = str(data_list[i][0]) logger.info("Formatted data_list: " + repr(data_list)) id_list = data_list logger.info("Got id_list: " + repr(id_list)) return cursor, id_list def get_last_consent_id(cursor=None, surrogate_id="", slr_id="", subject_id="", consent_pair_id="", account_id="", table_name=None): logger.info("Executing") if cursor is None: raise AttributeError("Provide cursor as parameter") if table_name is None: raise AttributeError("Provide table_name as parameter") try: surrogate_id = str(surrogate_id) except Exception: raise TypeError("surrogate_id MUST be str, not " + str(type(surrogate_id))) try: slr_id = str(slr_id) except Exception: raise TypeError("slr_id MUST be str, not " + str(type(slr_id))) try: subject_id = str(subject_id) except Exception: raise TypeError("subject_id MUST be str, not " + str(type(subject_id))) try: consent_pair_id = str(consent_pair_id) except Exception: raise TypeError("consent_pair_id MUST be str, not " + str(type(consent_pair_id))) try: account_id = str(account_id) except Exception: raise TypeError("account_id MUST be str, not " + str(type(account_id))) sql_query = "SELECT consentRecordId " \ "FROM " + table_name + " " \ "WHERE surrogateId LIKE %s " \ "AND serviceLinkRecordId LIKE %s " \ "AND subjectId LIKE %s " \ "AND consentPairId LIKE %s " \ "AND Accounts_id LIKE %s " \ "ORDER BY id DESC LIMIT 1;" arguments = ( '%' + str(surrogate_id) + '%', '%' + str(slr_id) + '%', '%' + str(subject_id) + '%', '%' + str(consent_pair_id) + '%', '%' + str(account_id) + '%', ) try: cursor, data = execute_sql_select_2(cursor=cursor, sql_query=sql_query, arguments=arguments) except Exception as exp: logger.debug('sql_query: ' + repr(exp)) raise else: logger.debug("Got data: " + repr(data)) #logger.debug("Got data[0]: " + repr(data[0])) data_list = list(data) logger.info("Got data_list: " + repr(data_list)) if len(data) == 0: logger.error("IndexError('DB query returned no results')") raise IndexError("DB query returned no results") for i in range(len(data_list)): data_list[i] = str(data_list[i][0]) logger.info("Formatted data_list: " + repr(data_list)) id_list = data_list logger.info("Got id_list: " + repr(id_list)) return cursor, id_list def get_consent_status_ids(cursor=None, cr_id="", account_id="", primary_key_filter=0, table_name=None): logger.info("Executing") if cursor is None: raise AttributeError("Provide cursor as parameter") if table_name is None: raise AttributeError("Provide table_name as parameter") try: cr_id = str(cr_id) except Exception: raise TypeError("cr_id MUST be str, not " + str(type(cr_id))) try: account_id = str(account_id) except Exception: raise TypeError("account_id MUST be str, not " + str(type(account_id))) try: primary_key_filter = int(primary_key_filter) except Exception: raise TypeError("primary_key_filter MUST be int, not " + str(type(primary_key_filter))) sql_query = "SELECT consentStatusRecordId " \ "FROM " + table_name + " " \ "WHERE consentRecordId LIKE %s " \ "AND Accounts_id LIKE %s" \ " AND id > %s;" arguments = ( '%' + str(cr_id) + '%', '%' + str(account_id) + '%', int(primary_key_filter), ) try: cursor, data = execute_sql_select_2(cursor=cursor, sql_query=sql_query, arguments=arguments) except Exception as exp: logger.debug('sql_query: ' + repr(exp)) raise else: logger.debug("Got data: " + repr(data)) #logger.debug("Got data[0]: " + repr(data[0])) data_list = list(data) logger.info("Got data_list: " + repr(data_list)) if len(data) == 0: logger.error("IndexError('DB query returned no results')") raise IndexError("DB query returned no results") for i in range(len(data_list)): data_list[i] = str(data_list[i][0]) logger.info("Formatted data_list: " + repr(data_list)) id_list = data_list logger.info("Got id_list: " + repr(id_list)) return cursor, id_list def get_consent_status_id_filter(cursor=None, csr_id="", account_id="", table_name=None): logger.info("Executing") if cursor is None: raise AttributeError("Provide cursor as parameter") if table_name is None: raise AttributeError("Provide table_name as parameter") try: csr_id = str(csr_id) except Exception: raise TypeError("csr_id MUST be str, not " + str(type(csr_id))) try: account_id = str(account_id) except Exception: raise TypeError("account_id MUST be str, not " + str(type(account_id))) sql_query = "SELECT id " \ "FROM " + table_name + " " \ "WHERE consentStatusRecordId LIKE %s " \ "AND Accounts_id LIKE %s;" arguments = ( '%' + str(csr_id) + '%', '%' + str(account_id) + '%', ) try: cursor, data = execute_sql_select_2(cursor=cursor, sql_query=sql_query, arguments=arguments) except Exception as exp: logger.debug('sql_query: ' + repr(exp)) raise else: logger.debug("Got data: " + repr(data)) #logger.debug("Got data[0]: " + repr(data[0])) data_list = list(data) logger.info("Got data_list: " + repr(data_list)) if len(data) == 0: logger.error("IndexError('DB query returned no results')") raise IndexError("DB query returned no results") for i in range(len(data_list)): data_list[i] = str(data_list[i][0]) logger.info("Formatted data_list: " + repr(data_list)) id_list = data_list logger.info("Got id_list: " + repr(id_list)) id = max(id_list) logger.info("Got max id: " + str(id)) return cursor, id

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Python

InfectiousDiseasePrevention_SupportSystem_Kakemizu/program/dbFunction.py

YamashitaTsuyoshi/Graduate-Research-2020

d3d46e991e789836622cfccb529de871f94d28f1

[ "MIT" ]

null

InfectiousDiseasePrevention_SupportSystem_Kakemizu/program/dbFunction.py

YamashitaTsuyoshi/Graduate-Research-2020

d3d46e991e789836622cfccb529de871f94d28f1

[ "MIT" ]

null

InfectiousDiseasePrevention_SupportSystem_Kakemizu/program/dbFunction.py

YamashitaTsuyoshi/Graduate-Research-2020

d3d46e991e789836622cfccb529de871f94d28f1

[ "MIT" ]

15

2021-02-23T04:18:51.000Z

2021-03-12T07:33:49.000Z

# -*- coding: utf-8 -*- import mysql.connector as mydb import datetime import random #テスト用、あとで消去 def add_record(dt,from_serial_ID,LQI,temp,humid,pressure,VCC,CO2): conn = mydb.connect( user="EnviMonitor", password="EnviMonitor", host="localhost", database="SensorDB" ) cur = conn.cursor(buffered = True) #devID特定 sql = 'SELECT devID FROM device WHERE serialNo = '+ str(from_serial_ID) cur.execute(sql) if cur.rowcount != 1: cur.fetchall() sql = 'INSERT INTO device (serialNo) VALUES ('+str(from_serial_ID)+')' cur.execute(sql) conn.commit() sql = 'SELECT devID FROM device WHERE serialNo = '+ str(from_serial_ID) cur.execute(sql) dev = cur.fetchone() dev_ID = dev[0] sql = 'INSERT INTO records (dt,devID,LQI,temp,humid,pressure,VCC,CO2) VALUES ("'+ \ dt.strftime("%Y-%m-%d %H:%M:%S") +'",'+str(dev_ID)+','+str(LQI)+','+ \ str(temp)+','+str(humid)+','+str(pressure)+','+str(VCC)+','+str(CO2)+')' cur.execute(sql) conn.commit() cur.close() conn.close() def add_results(dt,co2Concentration,wlevel,numofPersons,rlevel): conn = mydb.connect( user="EnviMonitor", password="EnviMonitor", host="localhost", database="SensorDB" ) cur = conn.cursor(buffered = True) sql = 'INSERT INTO results (dt,co2Concentration,wlevel,numofPersons,rlevel) VALUES ("'+ \ dt.strftime("%Y-%m-%d %H:%M:%S") +'",'+str(co2Concentration)+','+str(wlevel)+','+ \ str(numofPersons)+',"'+rlevel+'")' cur.execute(sql) conn.commit() cur.close() conn.close() def get_all_record(srcDate): conn = mydb.connect( user="EnviMonitor", password="EnviMonitor", host="localhost", database="SensorDB" ) cur = conn.cursor(buffered = True,dictionary= True) #sql = 'SELECT dt,device.serialNo,LQI,temp,humid,pressure,VCC,CO2 FROM records JOIN device USING (devID)' sql = 'SELECT dt,devID,LQI,temp,humid,pressure,VCC,CO2 FROM records '+'WHERE DATE_FORMAT(dt, "%Y-%m-%d") = "'+ \ srcDate.strftime("%Y-%m-%d")+'" ORDER BY dt DESC' cur.execute(sql) ans = cur.fetchall() #キーの名前をわかりやすく変換 #for record in ans: # record['from_serial_ID'] = record['serialNo'] # del record['serialNo'] cur.close() conn.close() return ans def get_all_devID(): conn = mydb.connect( user="EnviMonitor", password="EnviMonitor", host="localhost", database="SensorDB" ) cur = conn.cursor(buffered = True) sql = 'SELECT devID FROM device' cur.execute(sql) ans = cur.fetchall() IDarray = [] for rec in ans: IDarray.append(rec[0]) cur.close() conn.close() return IDarray ''' #devIDの直近num個のレコードを取得 def get_records(devID,num,srcDate): conn = mydb.connect( user="EnviMonitor", password="EnviMonitor", host="localhost", database="SensorDB" ) cur = conn.cursor(buffered = True) sql = 'SELECT dt,devID,LQI,temp,humid,pressure,VCC,CO2 FROM records WHERE devID = '+ str(devID) +' AND DATE_FORMAT(dt, "%Y-%m-%d") = "'+ \ srcDate.strftime("%Y-%m-%d")+'" ORDER BY dt DESC LIMIT '+str(num) cur.execute(sql) ans = cur.fetchall() cur.close() conn.close() return ans ''' #devIDの直近の指定された時間以降のレコードを取得 def get_records(devID,srcDate): conn = mydb.connect( user="EnviMonitor", password="EnviMonitor", host="localhost", database="SensorDB" ) cur = conn.cursor(buffered = True) sql = 'SELECT dt,devID,LQI,temp,humid,pressure,VCC,CO2 FROM records WHERE devID = '+ str(devID) +' AND dt >= "'+ \ srcDate.strftime("%Y-%m-%d %H:%M:%S")+'" ORDER BY dt DESC' cur.execute(sql) ans = cur.fetchall() cur.close() conn.close() return ans def get_recent_dev(srcDate): conn = mydb.connect( user="EnviMonitor", password="EnviMonitor", host="localhost", database="SensorDB" ) cur = conn.cursor(buffered = True) sql = 'SELECT devID FROM records WHERE dt >= "'+ \ srcDate.strftime("%Y-%m-%d %H:%M:%S")+'" ORDER BY dt DESC' cur.execute(sql) ans = cur.fetchall() IDarray = [] for rec in ans: IDarray.append(rec[0]) cur.close() conn.close() IDarray = list(set(IDarray)) return IDarray def regi_enter_risk(enterLisk): conn = mydb.connect( user="EnviMonitor", password="EnviMonitor", host="localhost", database="RiskDB" ) cur = conn.cursor(buffered = True) #色表記は大文字に EnterLisk = enterLisk.upper() dt = datetime.datetime.now() sql = 'INSERT INTO enterLisk (dt,risk) VALUES ("'+ \ dt.strftime("%Y-%m-%d %H:%M:%S") +'","'+EnterLisk+'")' cur.execute(sql) conn.commit() cur.close() conn.close() def get_last_enter_risk(): conn = mydb.connect( user="EnviMonitor", password="EnviMonitor", host="localhost", database="RiskDB" ) cur = conn.cursor(buffered = True) sql = 'SELECT risk FROM enterLisk ORDER BY dt DESC LIMIT 1' cur.execute(sql) ans = cur.fetchall() IDarray = [] for rec in ans: IDarray.append(rec[0]) cur.close() conn.close() return IDarray def del_all_records(): conn = mydb.connect( user="EnviMonitor", password="EnviMonitor", host="localhost", database="SensorDB" ) cur = conn.cursor(buffered = True) sql = 'DELETE FROM device' cur.execute(sql) sql = 'DELETE FROM records' cur.execute(sql) conn.commit() #オートインクリメント初期化 sql = 'alter table device auto_increment = 1' cur.execute(sql) sql = 'alter table records auto_increment = 1' cur.execute(sql) conn.commit() cur.close() conn.close() def del_all_risks(): conn = mydb.connect( user="EnviMonitor", password="EnviMonitor", host="localhost", database="RiskDB" ) cur = conn.cursor(buffered = True) sql = 'DELETE FROM enterLisk' cur.execute(sql) conn.commit() #オートインクリメント初期化 sql = 'alter table enterLisk auto_increment = 1' cur.execute(sql) conn.commit() cur.close() conn.close() def make_test_data(): ''' add_record(datetime.datetime.now() - datetime.timedelta(minutes= 16),12345,100,20.5,55.6,1000,3100,400) add_record(datetime.datetime.now() - datetime.timedelta(minutes= 15),67890,90,20.8,55.6,1000,3100,400) add_record(datetime.datetime.now() - datetime.timedelta(minutes= 12),12345,100,20.5,55.6,1000,3100,410) add_record(datetime.datetime.now() - datetime.timedelta(minutes= 12),67890,105,20.8,30.0,1000,3100,320) add_record(datetime.datetime.now() - datetime.timedelta(minutes= 9),12345,100,20.5,55.6,1000,3000,450) add_record(datetime.datetime.now() - datetime.timedelta(minutes= 10),67890,106,21.8,30.0,1000,3000,1000) add_record(datetime.datetime.now() - datetime.timedelta(minutes= 6),12345,88,20.5,55.6,1000,3000,480) add_record(datetime.datetime.now() - datetime.timedelta(minutes= 3),67890,108,22.7,30.0,1000,3000,400) add_record(datetime.datetime.now(),12345,100,20.5,55.6,1000,3000,500) add_record(datetime.datetime.now(),67890,120,23.6,30.0,1000,2900,450) add_record(datetime.datetime.now()- datetime.timedelta(minutes= 3),12345,100,20.5,55.6,1000,3100,random.randint(500,1200)) add_record(datetime.datetime.now()- datetime.timedelta(minutes= 3),67890,100,20.5,55.6,1000,3100,random.randint(500,1200)) add_record(datetime.datetime.now()- datetime.timedelta(minutes= 6),12345,100,20.5,55.6,1000,3100,random.randint(500,1200)) add_record(datetime.datetime.now()- datetime.timedelta(minutes= 6),67890,100,20.5,55.6,1000,3100,random.randint(500,1200)) add_record(datetime.datetime.now()- datetime.timedelta(minutes= 9),12345,100,20.5,55.6,1000,3100,random.randint(500,1200)) add_record(datetime.datetime.now()- datetime.timedelta(minutes= 9),67890,100,20.5,55.6,1000,3100,random.randint(500,1200)) add_record(datetime.datetime.now()- datetime.timedelta(minutes= 12),12345,100,20.5,55.6,1000,3100,random.randint(500,1200)) add_record(datetime.datetime.now()- datetime.timedelta(minutes= 12),67890,100,20.5,55.6,1000,3100,random.randint(500,1200)) add_record(datetime.datetime.now()- datetime.timedelta(minutes= 15),12345,100,20.5,55.6,1000,3100,random.randint(500,1200)) add_record(datetime.datetime.now()- datetime.timedelta(minutes= 15),67890,100,20.5,55.6,1000,3100,random.randint(500,1200)) regi_enter_risk("Yellow") ''' #del_all_records() #random.seed() #add_record(datetime.datetime.now(),12345,100,20.5,55.6,1000,3100,random.randint(500,1200)) #add_record(datetime.datetime.now(),67890,100,20.5,55.6,1000,3100,random.randint(500,1200))

32.609929

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0.617986

1,187

9,196

4.733783

0.133109

0.036839

0.077772

0.097882

0.82488

0.814558

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0.693006

0

0.089932

0.221292

9,196

281

144

32.725979

0.694735

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0.105556

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0

1

0

null

0

1

0

8

e5c0e576e2e3c0ccc12eb2fe94b8f53e1d3f2bfb

4,251

py

Python

tests/test_cli.py

WhaleJ84/hb-organiser

6bb540aead050a453fc6913c9df9378b06fe08bc

[ "MIT" ]

1

2021-02-20T11:56:38.000Z

tests/test_cli.py

WhaleJ84/hb-organiser

6bb540aead050a453fc6913c9df9378b06fe08bc

[ "MIT" ]

16

2020-12-31T20:00:30.000Z

2021-06-02T03:52:40.000Z

tests/test_cli.py

WhaleJ84/hb-organiser

6bb540aead050a453fc6913c9df9378b06fe08bc

[ "MIT" ]

null

from os.path import abspath from unittest import TestCase from hb_organiser.cli import cli, verify_args class HBOrganiserCliTesCase(TestCase): def setUp(self) -> None: pass def tearDown(self) -> None: pass def test_verify_args_returns_true_on_good_relative_source_path_with_trailing_forward_slash(self): arguments = cli(['-s', 'tests/test_libraries/library/', 'all']) result = verify_args(arguments) HBOrganiserCliTesCase.assertTrue(self, result[0]) def test_verify_args_returns_true_on_good_absolute_source_path_with_trailing_forward_slash(self): arguments = cli(['-s', abspath('tests/test_libraries/library/'), 'all']) result = verify_args(arguments) HBOrganiserCliTesCase.assertTrue(self, result[0]) def test_verify_args_returns_true_on_good_relative_source_path_without_trailing_forward_slash(self): arguments = cli(['-s', 'tests/test_libraries/library', 'all']) result = verify_args(arguments) HBOrganiserCliTesCase.assertTrue(self, result[0]) def test_verify_args_returns_true_on_good_absolute_source_path_without_trailing_forward_slash(self): arguments = cli(['-s', abspath('tests/test_libraries/library'), 'all']) result = verify_args(arguments) HBOrganiserCliTesCase.assertTrue(self, result[0]) def test_verify_args_returns_none_on_source_bad_path(self): arguments = cli(['-s', 'tests/test_libraries/fake_library', 'all']) result = verify_args(arguments) HBOrganiserCliTesCase.assertIsNone(self, result[0]) def test_verify_args_returns_true_on_good_relative_destination_path_with_trailing_forward_slash(self): arguments = cli(['-s', 'tests/test_libraries/library/', '-d', 'tests/test_destination/', 'all']) result = verify_args(arguments) HBOrganiserCliTesCase.assertTrue(self, result[1]) def test_verify_args_returns_true_on_good_absolute_destination_path_with_trailing_forward_slash(self): arguments = cli(['-s', 'tests/test_libraries/library/', '-d', abspath('tests/test_destination/'), 'all']) result = verify_args(arguments) HBOrganiserCliTesCase.assertTrue(self, result[1]) def test_verify_args_returns_true_on_good_relative_destination_path_without_trailing_forward_slash(self): arguments = cli(['-s', 'tests/test_libraries/library/', '-d', 'tests/test_destination', 'all']) result = verify_args(arguments) HBOrganiserCliTesCase.assertTrue(self, result[1]) def test_verify_args_returns_true_on_good_absolute_destination_path_without_trailing_forward_slash(self): arguments = cli(['-s', 'tests/test_libraries/library/', '-d', abspath('tests/test_destination'), 'all']) result = verify_args(arguments) HBOrganiserCliTesCase.assertTrue(self, result[1]) def test_dry_run_flag_overwrites_destination_flag_to_none(self): arguments = cli(['-s', 'tests/test_libraries/library', '-d', 'tests/test_destination', '-D', 'all']) result = verify_args(arguments) HBOrganiserCliTesCase.assertIsNone(self, result[1]) def test_verify_args_returns_source_on_good_config_path(self): arguments = cli(['-c' 'tests/test.conf', 'all']) result = verify_args(arguments) HBOrganiserCliTesCase.assertEqual(self, result[0], 'tests/test_libraries/library') def test_verify_args_return_destination_on_good_config_path(self): arguments = cli(['-c', 'tests/test.conf', 'all']) result = verify_args(arguments) HBOrganiserCliTesCase.assertEqual(self, result[1], 'tests/test_destination') def test_verify_args_overwrites_config_source_on_set_source_flag(self): arguments = cli(['-c', 'tests/test.conf', '-s', 'tests/test_destination', 'all']) result = verify_args(arguments) HBOrganiserCliTesCase.assertEqual(self, result[0], 'tests/test_destination') def test_verify_args_overwrites_config_destination_on_set_destination_flag(self): arguments = cli(['-c', 'tests/test.conf', '-d', 'tests/test_libraries/library', 'all']) result = verify_args(arguments) HBOrganiserCliTesCase.assertEqual(self, result[1], 'tests/test_libraries/library')

51.216867

113

0.729946

509

4,251

5.719057

0.115914

0.096187

0.07695

0.091378

0.881141

0.866712

0.834765

0.752319

0

0.003884

0.151964

4,251

82

114

51.841463

0.803606

0

0.375

0

0.164432

0.130087

0

0.21875

1

0.25

false

0.03125

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0.3125

0

null

0

1

0

null

0

1

0

7

005ba18477bdf0c534ad9ed79361eac4fcf618c1

38

py

Python

Chapter 2 - Variables & Data Types/tempCodeRunnerFile.py

alex-dsouza777/Python-Basics

8f1c406f2319cd65b5d54dfea990d09fa69d9adf

[ "MIT" ]

null

Chapter 2 - Variables & Data Types/tempCodeRunnerFile.py

alex-dsouza777/Python-Basics

8f1c406f2319cd65b5d54dfea990d09fa69d9adf

[ "MIT" ]

null

Chapter 2 - Variables & Data Types/tempCodeRunnerFile.py

alex-dsouza777/Python-Basics

8f1c406f2319cd65b5d54dfea990d09fa69d9adf

[ "MIT" ]

1

2021-04-21T10:23:08.000Z

b = (14<7) # b = (14==7) # b = (14!=7)

12.666667

13

0.315789

9

38

1.333333

0.333333

0.75

1

0.833333

1

0

0.321429

0.263158

38

3

14

12.666667

0.107143

0.605263

0

1

0

false

0

1

null

1

0

1

0

1

0

1

0

null

0

11

0066f5827983eb5ea73729137065a1aa2f0d1e79

86

py

Python

intersim/viz/__init__.py

lassepe/InteractionSimulator

bf6bba18780ca61df8ac62627805fb00850832d2

[ "MIT" ]

null

intersim/viz/__init__.py

lassepe/InteractionSimulator

bf6bba18780ca61df8ac62627805fb00850832d2

[ "MIT" ]

null

intersim/viz/__init__.py

lassepe/InteractionSimulator

bf6bba18780ca61df8ac62627805fb00850832d2

[ "MIT" ]

null

from intersim.viz.animatedviz import animate from intersim.viz.utils import build_map

28.666667

44

0.860465

13

86

5.615385

0.692308

0.328767

0.410959

0

0.093023

86

3

45

28.666667

0.935897

0

1

0

true

0

1

0

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

00a2c81e9084bc7b8b5bfbc0d1a21d197f873dee

704

py

Python

src/LivestockCV/core/threshold/__init__.py

peschelgroup/LivestockCV

e5746af75935d5000ba3ad26d09b6868fae76b76

[ "MIT" ]

null

src/LivestockCV/core/threshold/__init__.py

peschelgroup/LivestockCV

e5746af75935d5000ba3ad26d09b6868fae76b76

[ "MIT" ]

null

src/LivestockCV/core/threshold/__init__.py

peschelgroup/LivestockCV

e5746af75935d5000ba3ad26d09b6868fae76b76

[ "MIT" ]

null

from LivestockCV.core.threshold.threshold_methods import binary from LivestockCV.core.threshold.threshold_methods import gaussian from LivestockCV.core.threshold.threshold_methods import mean from LivestockCV.core.threshold.threshold_methods import otsu from LivestockCV.core.threshold.threshold_methods import triangle from LivestockCV.core.threshold.threshold_methods import texture from LivestockCV.core.threshold.threshold_methods import custom_range from LivestockCV.core.threshold.threshold_methods import saturation from LivestockCV.core.threshold.threshold_methods import mask_bad __all__ = ["binary", "gaussian", "mean", "otsu", "triangle", "texture", "custom_range", "saturation", "mask_bad"]

58.666667

113

0.852273

86

704

6.77907

0.209302

0.231561

0.29331

0.432247

0.77187

0

0.068182

704

11

114

64

0.88872

0

0.09517

0

1

0

false

0

0.9

0

0.9

0

null

1

0

1

0

null

0

1

0

1

0

7

00c1cce4aaeb8229c87a9c0e55894159542e0e78

145

py

Python

gcraft/resources/resource.py

ddomurad/gcraft

7174fcacee875fd90e8d878463108aae3c77873e

[ "MIT" ]

null

gcraft/resources/resource.py

ddomurad/gcraft

7174fcacee875fd90e8d878463108aae3c77873e

[ "MIT" ]

null

gcraft/resources/resource.py

ddomurad/gcraft

7174fcacee875fd90e8d878463108aae3c77873e

[ "MIT" ]

null

class Resource: def __init__(self, r_id, r_type): self.r_id = r_id self.r_type = r_type def release(self): pass

18.125

37

0.57931

23

145

3.217391

0.434783

0.202703

0.189189

0.216216

0

0.331034

145

8

38

18.125

0.762887

0

1

0.333333

false

0.166667

0

0.5

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

979998b7e4e74d755782c398073cdc3300522dc1

135

py

Python

pangram/honorable_mentions/pangram_1.py

ederst/exercism-python

8791f145ff4ce1a3b78ac3566fbe428ce3a3bd7b

[ "Unlicense" ]

1

2021-06-25T16:09:02.000Z

pangram/honorable_mentions/pangram_1.py

ederst/exercism-python

8791f145ff4ce1a3b78ac3566fbe428ce3a3bd7b

[ "Unlicense" ]

1

2021-05-17T23:45:29.000Z

2021-05-17T23:46:01.000Z

pangram/honorable_mentions/pangram_1.py

ederst/exercism-python

8791f145ff4ce1a3b78ac3566fbe428ce3a3bd7b

[ "Unlicense" ]

null

from string import ascii_lowercase def is_pangram(sentence): return bool(min(sentence.lower().count(c) for c in ascii_lowercase))

27

72

0.777778

21

135

4.857143

0.809524

0.27451

0

0.125926

135

4

73

33.75

0.864407

0

1

0.333333

false

0

0.333333

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

c131393e5792ccc979117b51f933fac574549250

807

py

Python

utils.py

machacek/statistical-nlp-assignment-3

0b25562bb050160e6d68e83427dd0414aac5566a

[ "MIT" ]

1

2016-05-23T23:40:41.000Z

utils.py

machacek/statistical-nlp-assignment-3

0b25562bb050160e6d68e83427dd0414aac5566a

[ "MIT" ]

null

utils.py

machacek/statistical-nlp-assignment-3

0b25562bb050160e6d68e83427dd0414aac5566a

[ "MIT" ]

null

import sys class LabeledReader(object): def __init__(self, filename): if filename == '-': self.file = sys.stdin else: self.file = open(filename, mode='r', encoding='utf-8') def __iter__(self): for line in self.file: yield tuple(line.strip().split('/',2)) def __del__(self): if self.file is not sys.stdin: self.file.close() class UnlabeledReader(object): def __init__(self, filename): if filename == '-': self.file = sys.stdin else: self.file = open(filename, mode='r', encoding='utf-8') def __iter__(self): for line in self.file: yield line.strip() def __del__(self): if self.file is not sys.stdin: self.file.close()

25.21875

66

0.547708

99

807

4.222222

0.333333

0.191388

0.062201

0.08134

0.818182

0

0.005484

0.322181

807

31

67

26.032258

0.758684

0

0.8

0

0.018587

0

1

0.24

false

0

0.04

0

0.36

0

null

0

1

0

1

0

null

0

1

0

8

c152c2eec5d408f540234e793d0ab860a685eb20

128,013

py

Python

msgraph-cli-extensions/beta/people_beta/azext_people_beta/generated/custom.py

thewahome/msgraph-cli

33127d9efa23a0e5f5303c93242fbdbb73348671

[ "MIT" ]

null

msgraph-cli-extensions/beta/people_beta/azext_people_beta/generated/custom.py

thewahome/msgraph-cli

33127d9efa23a0e5f5303c93242fbdbb73348671

[ "MIT" ]

null

msgraph-cli-extensions/beta/people_beta/azext_people_beta/generated/custom.py

thewahome/msgraph-cli

33127d9efa23a0e5f5303c93242fbdbb73348671

[ "MIT" ]

null

# -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- # pylint: disable=too-many-lines def people_user_create_person(client, user_id, id_=None, birthday=None, company_name=None, department=None, display_name=None, email_addresses=None, given_name=None, is_favorite=None, mailbox_type=None, office_location=None, person_notes=None, person_type=None, phones=None, postal_addresses=None, profession=None, sources=None, surname=None, title=None, user_principal_name=None, websites=None, yomi_company=None): body = {} body['id'] = id_ body['birthday'] = birthday body['company_name'] = company_name body['department'] = department body['display_name'] = display_name body['email_addresses'] = email_addresses body['given_name'] = given_name body['is_favorite'] = is_favorite body['mailbox_type'] = mailbox_type body['office_location'] = office_location body['person_notes'] = person_notes body['person_type'] = person_type body['phones'] = phones body['postal_addresses'] = postal_addresses body['profession'] = profession body['sources'] = sources body['surname'] = surname body['title'] = title body['user_principal_name'] = user_principal_name body['websites'] = websites body['yomi_company'] = yomi_company return client.create_people(user_id=user_id, body=body) def people_user_delete_analytic(client, user_id, if_match=None): return client.delete_analytics(user_id=user_id, if_match=if_match) def people_user_delete_person(client, user_id, person_id, if_match=None): return client.delete_people(user_id=user_id, person_id=person_id, if_match=if_match) def people_user_delete_profile(client, user_id, if_match=None): return client.delete_profile(user_id=user_id, if_match=if_match) def people_user_list_person(client, user_id, orderby=None, select=None, expand=None): return client.list_people(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_show_analytic(client, user_id, select=None, expand=None): return client.get_analytics(user_id=user_id, select=select, expand=expand) def people_user_show_person(client, user_id, person_id, select=None, expand=None): return client.get_people(user_id=user_id, person_id=person_id, select=select, expand=expand) def people_user_show_profile(client, user_id, select=None, expand=None): return client.get_profile(user_id=user_id, select=select, expand=expand) def people_user_update_analytic(client, user_id, id_=None, settings=None, activity_statistics=None): body = {} body['id'] = id_ body['settings'] = settings body['activity_statistics'] = activity_statistics return client.update_analytics(user_id=user_id, body=body) def people_user_update_person(client, user_id, person_id, id_=None, birthday=None, company_name=None, department=None, display_name=None, email_addresses=None, given_name=None, is_favorite=None, mailbox_type=None, office_location=None, person_notes=None, person_type=None, phones=None, postal_addresses=None, profession=None, sources=None, surname=None, title=None, user_principal_name=None, websites=None, yomi_company=None): body = {} body['id'] = id_ body['birthday'] = birthday body['company_name'] = company_name body['department'] = department body['display_name'] = display_name body['email_addresses'] = email_addresses body['given_name'] = given_name body['is_favorite'] = is_favorite body['mailbox_type'] = mailbox_type body['office_location'] = office_location body['person_notes'] = person_notes body['person_type'] = person_type body['phones'] = phones body['postal_addresses'] = postal_addresses body['profession'] = profession body['sources'] = sources body['surname'] = surname body['title'] = title body['user_principal_name'] = user_principal_name body['websites'] = websites body['yomi_company'] = yomi_company return client.update_people(user_id=user_id, person_id=person_id, body=body) def people_user_update_profile(client, user_id, id_=None, account=None, addresses=None, anniversaries=None, awards=None, certifications=None, educational_activities=None, emails=None, interests=None, languages=None, names=None, notes=None, patents=None, phones=None, positions=None, projects=None, publications=None, skills=None, web_accounts=None, websites=None): body = {} body['id'] = id_ body['account'] = account body['addresses'] = addresses body['anniversaries'] = anniversaries body['awards'] = awards body['certifications'] = certifications body['educational_activities'] = educational_activities body['emails'] = emails body['interests'] = interests body['languages'] = languages body['names'] = names body['notes'] = notes body['patents'] = patents body['phones'] = phones body['positions'] = positions body['projects'] = projects body['publications'] = publications body['skills'] = skills body['web_accounts'] = web_accounts body['websites'] = websites return client.update_profile(user_id=user_id, body=body) def people_user_analytic_create_activity_statistics(client, user_id, id_=None, activity=None, duration=None, end_date=None, start_date=None, time_zone_used=None): body = {} body['id'] = id_ body['activity'] = activity body['duration'] = duration body['end_date'] = end_date body['start_date'] = start_date body['time_zone_used'] = time_zone_used return client.create_activity_statistics(user_id=user_id, body=body) def people_user_analytic_delete_activity_statistics(client, user_id, activity_statistics_id, if_match=None): return client.delete_activity_statistics(user_id=user_id, activity_statistics_id=activity_statistics_id, if_match=if_match) def people_user_analytic_list_activity_statistics(client, user_id, orderby=None, select=None, expand=None): return client.list_activity_statistics(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_analytic_show_activity_statistics(client, user_id, activity_statistics_id, select=None, expand=None): return client.get_activity_statistics(user_id=user_id, activity_statistics_id=activity_statistics_id, select=select, expand=expand) def people_user_analytic_update_activity_statistics(client, user_id, activity_statistics_id, id_=None, activity=None, duration=None, end_date=None, start_date=None, time_zone_used=None): body = {} body['id'] = id_ body['activity'] = activity body['duration'] = duration body['end_date'] = end_date body['start_date'] = start_date body['time_zone_used'] = time_zone_used return client.update_activity_statistics(user_id=user_id, activity_statistics_id=activity_statistics_id, body=body) def people_user_profile_create_account(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, age_group=None, country_code=None, preferred_language_tag=None, user_principal_name=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['age_group'] = age_group body['country_code'] = country_code body['preferred_language_tag'] = preferred_language_tag body['user_principal_name'] = user_principal_name return client.create_account(user_id=user_id, body=body) def people_user_profile_create_address(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, detail=None, display_name=None, geo_coordinates=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['detail'] = detail body['display_name'] = display_name body['geo_coordinates'] = geo_coordinates return client.create_addresses(user_id=user_id, body=body) def people_user_profile_create_anniversary(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, date=None, type_=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['date'] = date body['type'] = type_ return client.create_anniversaries(user_id=user_id, body=body) def people_user_profile_create_award(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, description=None, display_name=None, issued_date=None, issuing_authority=None, thumbnail_url=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['description'] = description body['display_name'] = display_name body['issued_date'] = issued_date body['issuing_authority'] = issuing_authority body['thumbnail_url'] = thumbnail_url body['web_url'] = web_url return client.create_awards(user_id=user_id, body=body) def people_user_profile_create_certification(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, certification_id=None, description=None, display_name=None, end_date=None, issued_date=None, issuing_authority=None, issuing_company=None, start_date=None, thumbnail_url=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['certification_id'] = certification_id body['description'] = description body['display_name'] = display_name body['end_date'] = end_date body['issued_date'] = issued_date body['issuing_authority'] = issuing_authority body['issuing_company'] = issuing_company body['start_date'] = start_date body['thumbnail_url'] = thumbnail_url body['web_url'] = web_url return client.create_certifications(user_id=user_id, body=body) def people_user_profile_create_educational_activity(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, completion_month_year=None, end_month_year=None, program=None, start_month_year=None, description=None, display_name=None, location=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['completion_month_year'] = completion_month_year body['end_month_year'] = end_month_year body['program'] = program body['start_month_year'] = start_month_year body['institution'] = {} body['institution']['description'] = description body['institution']['display_name'] = display_name body['institution']['location'] = location body['institution']['web_url'] = web_url return client.create_educational_activities(user_id=user_id, body=body) def people_user_profile_create_email(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, address=None, display_name=None, type_=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['address'] = address body['display_name'] = display_name body['type'] = type_ return client.create_emails(user_id=user_id, body=body) def people_user_profile_create_interest(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, categories=None, collaboration_tags=None, description=None, display_name=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['categories'] = categories body['collaboration_tags'] = collaboration_tags body['description'] = description body['display_name'] = display_name body['web_url'] = web_url return client.create_interests(user_id=user_id, body=body) def people_user_profile_create_language(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, display_name=None, proficiency=None, reading=None, spoken=None, tag=None, written=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['display_name'] = display_name body['proficiency'] = proficiency body['reading'] = reading body['spoken'] = spoken body['tag'] = tag body['written'] = written return client.create_languages(user_id=user_id, body=body) def people_user_profile_create_name(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, display_name=None, first=None, initials=None, language_tag=None, last=None, maiden=None, middle=None, nickname=None, pronunciation=None, suffix=None, title=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['display_name'] = display_name body['first'] = first body['initials'] = initials body['language_tag'] = language_tag body['last'] = last body['maiden'] = maiden body['middle'] = middle body['nickname'] = nickname body['pronunciation'] = pronunciation body['suffix'] = suffix body['title'] = title return client.create_names(user_id=user_id, body=body) def people_user_profile_create_note(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, detail=None, display_name=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['detail'] = detail body['display_name'] = display_name return client.create_notes(user_id=user_id, body=body) def people_user_profile_create_patent(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, description=None, display_name=None, is_pending=None, issued_date=None, issuing_authority=None, number=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['description'] = description body['display_name'] = display_name body['is_pending'] = is_pending body['issued_date'] = issued_date body['issuing_authority'] = issuing_authority body['number'] = number body['web_url'] = web_url return client.create_patents(user_id=user_id, body=body) def people_user_profile_create_phone(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, display_name=None, number=None, type_=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['display_name'] = display_name body['number'] = number body['type'] = type_ return client.create_phones(user_id=user_id, body=body) def people_user_profile_create_position(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, categories=None, colleagues=None, is_current=None, manager=None, company=None, description=None, end_month_year=None, job_title=None, role=None, start_month_year=None, summary=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['categories'] = categories body['colleagues'] = colleagues body['is_current'] = is_current body['manager'] = manager body['detail'] = {} body['detail']['company'] = company body['detail']['description'] = description body['detail']['end_month_year'] = end_month_year body['detail']['job_title'] = job_title body['detail']['role'] = role body['detail']['start_month_year'] = start_month_year body['detail']['summary'] = summary return client.create_positions(user_id=user_id, body=body) def people_user_profile_create_project(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, categories=None, collaboration_tags=None, colleagues=None, display_name=None, sponsors=None, company=None, description=None, end_month_year=None, job_title=None, role=None, start_month_year=None, summary=None, address=None, department=None, microsoft_graph_company_detail_display_name=None, office_location=None, pronunciation=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['categories'] = categories body['collaboration_tags'] = collaboration_tags body['colleagues'] = colleagues body['display_name'] = display_name body['sponsors'] = sponsors body['detail'] = {} body['detail']['company'] = company body['detail']['description'] = description body['detail']['end_month_year'] = end_month_year body['detail']['job_title'] = job_title body['detail']['role'] = role body['detail']['start_month_year'] = start_month_year body['detail']['summary'] = summary body['client'] = {} body['client']['address'] = address body['client']['department'] = department body['client']['display_name'] = microsoft_graph_company_detail_display_name body['client']['office_location'] = office_location body['client']['pronunciation'] = pronunciation body['client']['web_url'] = web_url return client.create_projects(user_id=user_id, body=body) def people_user_profile_create_publication(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, description=None, display_name=None, published_date=None, publisher=None, thumbnail_url=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['description'] = description body['display_name'] = display_name body['published_date'] = published_date body['publisher'] = publisher body['thumbnail_url'] = thumbnail_url body['web_url'] = web_url return client.create_publications(user_id=user_id, body=body) def people_user_profile_create_skill(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, categories=None, collaboration_tags=None, display_name=None, proficiency=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['categories'] = categories body['collaboration_tags'] = collaboration_tags body['display_name'] = display_name body['proficiency'] = proficiency body['web_url'] = web_url return client.create_skills(user_id=user_id, body=body) def people_user_profile_create_web_account(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, description=None, service=None, status_message=None, microsoft_graph_web_account_user_id=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['description'] = description body['service'] = service body['status_message'] = status_message body['user_id'] = microsoft_graph_web_account_user_id body['web_url'] = web_url return client.create_web_accounts(user_id=user_id, body=body) def people_user_profile_create_website(client, user_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, categories=None, description=None, display_name=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['categories'] = categories body['description'] = description body['display_name'] = display_name body['web_url'] = web_url return client.create_websites(user_id=user_id, body=body) def people_user_profile_delete_account(client, user_id, user_account_information_id, if_match=None): return client.delete_account(user_id=user_id, user_account_information_id=user_account_information_id, if_match=if_match) def people_user_profile_delete_address(client, user_id, item_address_id, if_match=None): return client.delete_addresses(user_id=user_id, item_address_id=item_address_id, if_match=if_match) def people_user_profile_delete_anniversary(client, user_id, person_anniversary_id, if_match=None): return client.delete_anniversaries(user_id=user_id, person_anniversary_id=person_anniversary_id, if_match=if_match) def people_user_profile_delete_award(client, user_id, person_award_id, if_match=None): return client.delete_awards(user_id=user_id, person_award_id=person_award_id, if_match=if_match) def people_user_profile_delete_certification(client, user_id, person_certification_id, if_match=None): return client.delete_certifications(user_id=user_id, person_certification_id=person_certification_id, if_match=if_match) def people_user_profile_delete_educational_activity(client, user_id, educational_activity_id, if_match=None): return client.delete_educational_activities(user_id=user_id, educational_activity_id=educational_activity_id, if_match=if_match) def people_user_profile_delete_email(client, user_id, item_email_id, if_match=None): return client.delete_emails(user_id=user_id, item_email_id=item_email_id, if_match=if_match) def people_user_profile_delete_interest(client, user_id, person_interest_id, if_match=None): return client.delete_interests(user_id=user_id, person_interest_id=person_interest_id, if_match=if_match) def people_user_profile_delete_language(client, user_id, language_proficiency_id, if_match=None): return client.delete_languages(user_id=user_id, language_proficiency_id=language_proficiency_id, if_match=if_match) def people_user_profile_delete_name(client, user_id, person_name_id, if_match=None): return client.delete_names(user_id=user_id, person_name_id=person_name_id, if_match=if_match) def people_user_profile_delete_note(client, user_id, person_annotation_id, if_match=None): return client.delete_notes(user_id=user_id, person_annotation_id=person_annotation_id, if_match=if_match) def people_user_profile_delete_patent(client, user_id, item_patent_id, if_match=None): return client.delete_patents(user_id=user_id, item_patent_id=item_patent_id, if_match=if_match) def people_user_profile_delete_phone(client, user_id, item_phone_id, if_match=None): return client.delete_phones(user_id=user_id, item_phone_id=item_phone_id, if_match=if_match) def people_user_profile_delete_position(client, user_id, work_position_id, if_match=None): return client.delete_positions(user_id=user_id, work_position_id=work_position_id, if_match=if_match) def people_user_profile_delete_project(client, user_id, project_participation_id, if_match=None): return client.delete_projects(user_id=user_id, project_participation_id=project_participation_id, if_match=if_match) def people_user_profile_delete_publication(client, user_id, item_publication_id, if_match=None): return client.delete_publications(user_id=user_id, item_publication_id=item_publication_id, if_match=if_match) def people_user_profile_delete_skill(client, user_id, skill_proficiency_id, if_match=None): return client.delete_skills(user_id=user_id, skill_proficiency_id=skill_proficiency_id, if_match=if_match) def people_user_profile_delete_web_account(client, user_id, web_account_id, if_match=None): return client.delete_web_accounts(user_id=user_id, web_account_id=web_account_id, if_match=if_match) def people_user_profile_delete_website(client, user_id, person_website_id, if_match=None): return client.delete_websites(user_id=user_id, person_website_id=person_website_id, if_match=if_match) def people_user_profile_list_account(client, user_id, orderby=None, select=None, expand=None): return client.list_account(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_address(client, user_id, orderby=None, select=None, expand=None): return client.list_addresses(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_anniversary(client, user_id, orderby=None, select=None, expand=None): return client.list_anniversaries(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_award(client, user_id, orderby=None, select=None, expand=None): return client.list_awards(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_certification(client, user_id, orderby=None, select=None, expand=None): return client.list_certifications(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_educational_activity(client, user_id, orderby=None, select=None, expand=None): return client.list_educational_activities(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_email(client, user_id, orderby=None, select=None, expand=None): return client.list_emails(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_interest(client, user_id, orderby=None, select=None, expand=None): return client.list_interests(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_language(client, user_id, orderby=None, select=None, expand=None): return client.list_languages(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_name(client, user_id, orderby=None, select=None, expand=None): return client.list_names(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_note(client, user_id, orderby=None, select=None, expand=None): return client.list_notes(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_patent(client, user_id, orderby=None, select=None, expand=None): return client.list_patents(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_phone(client, user_id, orderby=None, select=None, expand=None): return client.list_phones(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_position(client, user_id, orderby=None, select=None, expand=None): return client.list_positions(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_project(client, user_id, orderby=None, select=None, expand=None): return client.list_projects(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_publication(client, user_id, orderby=None, select=None, expand=None): return client.list_publications(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_skill(client, user_id, orderby=None, select=None, expand=None): return client.list_skills(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_web_account(client, user_id, orderby=None, select=None, expand=None): return client.list_web_accounts(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_list_website(client, user_id, orderby=None, select=None, expand=None): return client.list_websites(user_id=user_id, orderby=orderby, select=select, expand=expand) def people_user_profile_show_account(client, user_id, user_account_information_id, select=None, expand=None): return client.get_account(user_id=user_id, user_account_information_id=user_account_information_id, select=select, expand=expand) def people_user_profile_show_address(client, user_id, item_address_id, select=None, expand=None): return client.get_addresses(user_id=user_id, item_address_id=item_address_id, select=select, expand=expand) def people_user_profile_show_anniversary(client, user_id, person_anniversary_id, select=None, expand=None): return client.get_anniversaries(user_id=user_id, person_anniversary_id=person_anniversary_id, select=select, expand=expand) def people_user_profile_show_award(client, user_id, person_award_id, select=None, expand=None): return client.get_awards(user_id=user_id, person_award_id=person_award_id, select=select, expand=expand) def people_user_profile_show_certification(client, user_id, person_certification_id, select=None, expand=None): return client.get_certifications(user_id=user_id, person_certification_id=person_certification_id, select=select, expand=expand) def people_user_profile_show_educational_activity(client, user_id, educational_activity_id, select=None, expand=None): return client.get_educational_activities(user_id=user_id, educational_activity_id=educational_activity_id, select=select, expand=expand) def people_user_profile_show_email(client, user_id, item_email_id, select=None, expand=None): return client.get_emails(user_id=user_id, item_email_id=item_email_id, select=select, expand=expand) def people_user_profile_show_interest(client, user_id, person_interest_id, select=None, expand=None): return client.get_interests(user_id=user_id, person_interest_id=person_interest_id, select=select, expand=expand) def people_user_profile_show_language(client, user_id, language_proficiency_id, select=None, expand=None): return client.get_languages(user_id=user_id, language_proficiency_id=language_proficiency_id, select=select, expand=expand) def people_user_profile_show_name(client, user_id, person_name_id, select=None, expand=None): return client.get_names(user_id=user_id, person_name_id=person_name_id, select=select, expand=expand) def people_user_profile_show_note(client, user_id, person_annotation_id, select=None, expand=None): return client.get_notes(user_id=user_id, person_annotation_id=person_annotation_id, select=select, expand=expand) def people_user_profile_show_patent(client, user_id, item_patent_id, select=None, expand=None): return client.get_patents(user_id=user_id, item_patent_id=item_patent_id, select=select, expand=expand) def people_user_profile_show_phone(client, user_id, item_phone_id, select=None, expand=None): return client.get_phones(user_id=user_id, item_phone_id=item_phone_id, select=select, expand=expand) def people_user_profile_show_position(client, user_id, work_position_id, select=None, expand=None): return client.get_positions(user_id=user_id, work_position_id=work_position_id, select=select, expand=expand) def people_user_profile_show_project(client, user_id, project_participation_id, select=None, expand=None): return client.get_projects(user_id=user_id, project_participation_id=project_participation_id, select=select, expand=expand) def people_user_profile_show_publication(client, user_id, item_publication_id, select=None, expand=None): return client.get_publications(user_id=user_id, item_publication_id=item_publication_id, select=select, expand=expand) def people_user_profile_show_skill(client, user_id, skill_proficiency_id, select=None, expand=None): return client.get_skills(user_id=user_id, skill_proficiency_id=skill_proficiency_id, select=select, expand=expand) def people_user_profile_show_web_account(client, user_id, web_account_id, select=None, expand=None): return client.get_web_accounts(user_id=user_id, web_account_id=web_account_id, select=select, expand=expand) def people_user_profile_show_website(client, user_id, person_website_id, select=None, expand=None): return client.get_websites(user_id=user_id, person_website_id=person_website_id, select=select, expand=expand) def people_user_profile_update_account(client, user_id, user_account_information_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, age_group=None, country_code=None, preferred_language_tag=None, user_principal_name=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['age_group'] = age_group body['country_code'] = country_code body['preferred_language_tag'] = preferred_language_tag body['user_principal_name'] = user_principal_name return client.update_account(user_id=user_id, user_account_information_id=user_account_information_id, body=body) def people_user_profile_update_address(client, user_id, item_address_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, detail=None, display_name=None, geo_coordinates=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['detail'] = detail body['display_name'] = display_name body['geo_coordinates'] = geo_coordinates return client.update_addresses(user_id=user_id, item_address_id=item_address_id, body=body) def people_user_profile_update_anniversary(client, user_id, person_anniversary_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, date=None, type_=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['date'] = date body['type'] = type_ return client.update_anniversaries(user_id=user_id, person_anniversary_id=person_anniversary_id, body=body) def people_user_profile_update_award(client, user_id, person_award_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, description=None, display_name=None, issued_date=None, issuing_authority=None, thumbnail_url=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['description'] = description body['display_name'] = display_name body['issued_date'] = issued_date body['issuing_authority'] = issuing_authority body['thumbnail_url'] = thumbnail_url body['web_url'] = web_url return client.update_awards(user_id=user_id, person_award_id=person_award_id, body=body) def people_user_profile_update_certification(client, user_id, person_certification_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, certification_id=None, description=None, display_name=None, end_date=None, issued_date=None, issuing_authority=None, issuing_company=None, start_date=None, thumbnail_url=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['certification_id'] = certification_id body['description'] = description body['display_name'] = display_name body['end_date'] = end_date body['issued_date'] = issued_date body['issuing_authority'] = issuing_authority body['issuing_company'] = issuing_company body['start_date'] = start_date body['thumbnail_url'] = thumbnail_url body['web_url'] = web_url return client.update_certifications(user_id=user_id, person_certification_id=person_certification_id, body=body) def people_user_profile_update_educational_activity(client, user_id, educational_activity_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, completion_month_year=None, end_month_year=None, program=None, start_month_year=None, description=None, display_name=None, location=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['completion_month_year'] = completion_month_year body['end_month_year'] = end_month_year body['program'] = program body['start_month_year'] = start_month_year body['institution'] = {} body['institution']['description'] = description body['institution']['display_name'] = display_name body['institution']['location'] = location body['institution']['web_url'] = web_url return client.update_educational_activities(user_id=user_id, educational_activity_id=educational_activity_id, body=body) def people_user_profile_update_email(client, user_id, item_email_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, address=None, display_name=None, type_=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['address'] = address body['display_name'] = display_name body['type'] = type_ return client.update_emails(user_id=user_id, item_email_id=item_email_id, body=body) def people_user_profile_update_interest(client, user_id, person_interest_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, categories=None, collaboration_tags=None, description=None, display_name=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['categories'] = categories body['collaboration_tags'] = collaboration_tags body['description'] = description body['display_name'] = display_name body['web_url'] = web_url return client.update_interests(user_id=user_id, person_interest_id=person_interest_id, body=body) def people_user_profile_update_language(client, user_id, language_proficiency_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, display_name=None, proficiency=None, reading=None, spoken=None, tag=None, written=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['display_name'] = display_name body['proficiency'] = proficiency body['reading'] = reading body['spoken'] = spoken body['tag'] = tag body['written'] = written return client.update_languages(user_id=user_id, language_proficiency_id=language_proficiency_id, body=body) def people_user_profile_update_name(client, user_id, person_name_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, display_name=None, first=None, initials=None, language_tag=None, last=None, maiden=None, middle=None, nickname=None, pronunciation=None, suffix=None, title=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['display_name'] = display_name body['first'] = first body['initials'] = initials body['language_tag'] = language_tag body['last'] = last body['maiden'] = maiden body['middle'] = middle body['nickname'] = nickname body['pronunciation'] = pronunciation body['suffix'] = suffix body['title'] = title return client.update_names(user_id=user_id, person_name_id=person_name_id, body=body) def people_user_profile_update_note(client, user_id, person_annotation_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, detail=None, display_name=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['detail'] = detail body['display_name'] = display_name return client.update_notes(user_id=user_id, person_annotation_id=person_annotation_id, body=body) def people_user_profile_update_patent(client, user_id, item_patent_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, description=None, display_name=None, is_pending=None, issued_date=None, issuing_authority=None, number=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['description'] = description body['display_name'] = display_name body['is_pending'] = is_pending body['issued_date'] = issued_date body['issuing_authority'] = issuing_authority body['number'] = number body['web_url'] = web_url return client.update_patents(user_id=user_id, item_patent_id=item_patent_id, body=body) def people_user_profile_update_phone(client, user_id, item_phone_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, display_name=None, number=None, type_=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['display_name'] = display_name body['number'] = number body['type'] = type_ return client.update_phones(user_id=user_id, item_phone_id=item_phone_id, body=body) def people_user_profile_update_position(client, user_id, work_position_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, categories=None, colleagues=None, is_current=None, manager=None, company=None, description=None, end_month_year=None, job_title=None, role=None, start_month_year=None, summary=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['categories'] = categories body['colleagues'] = colleagues body['is_current'] = is_current body['manager'] = manager body['detail'] = {} body['detail']['company'] = company body['detail']['description'] = description body['detail']['end_month_year'] = end_month_year body['detail']['job_title'] = job_title body['detail']['role'] = role body['detail']['start_month_year'] = start_month_year body['detail']['summary'] = summary return client.update_positions(user_id=user_id, work_position_id=work_position_id, body=body) def people_user_profile_update_project(client, user_id, project_participation_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, categories=None, collaboration_tags=None, colleagues=None, display_name=None, sponsors=None, company=None, description=None, end_month_year=None, job_title=None, role=None, start_month_year=None, summary=None, address=None, department=None, microsoft_graph_company_detail_display_name=None, office_location=None, pronunciation=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['categories'] = categories body['collaboration_tags'] = collaboration_tags body['colleagues'] = colleagues body['display_name'] = display_name body['sponsors'] = sponsors body['detail'] = {} body['detail']['company'] = company body['detail']['description'] = description body['detail']['end_month_year'] = end_month_year body['detail']['job_title'] = job_title body['detail']['role'] = role body['detail']['start_month_year'] = start_month_year body['detail']['summary'] = summary body['client'] = {} body['client']['address'] = address body['client']['department'] = department body['client']['display_name'] = microsoft_graph_company_detail_display_name body['client']['office_location'] = office_location body['client']['pronunciation'] = pronunciation body['client']['web_url'] = web_url return client.update_projects(user_id=user_id, project_participation_id=project_participation_id, body=body) def people_user_profile_update_publication(client, user_id, item_publication_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, description=None, display_name=None, published_date=None, publisher=None, thumbnail_url=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['description'] = description body['display_name'] = display_name body['published_date'] = published_date body['publisher'] = publisher body['thumbnail_url'] = thumbnail_url body['web_url'] = web_url return client.update_publications(user_id=user_id, item_publication_id=item_publication_id, body=body) def people_user_profile_update_skill(client, user_id, skill_proficiency_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, categories=None, collaboration_tags=None, display_name=None, proficiency=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['categories'] = categories body['collaboration_tags'] = collaboration_tags body['display_name'] = display_name body['proficiency'] = proficiency body['web_url'] = web_url return client.update_skills(user_id=user_id, skill_proficiency_id=skill_proficiency_id, body=body) def people_user_profile_update_web_account(client, user_id, web_account_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, description=None, service=None, status_message=None, microsoft_graph_web_account_user_id=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['description'] = description body['service'] = service body['status_message'] = status_message body['user_id'] = microsoft_graph_web_account_user_id body['web_url'] = web_url return client.update_web_accounts(user_id=user_id, web_account_id=web_account_id, body=body) def people_user_profile_update_website(client, user_id, person_website_id, id_=None, allowed_audiences=None, created_date_time=None, inference=None, last_modified_date_time=None, source=None, application=None, device=None, user=None, microsoft_graph_identity_application=None, microsoft_graph_identity_device=None, microsoft_graph_identity_user=None, categories=None, description=None, display_name=None, web_url=None): body = {} body['id'] = id_ body['allowed_audiences'] = allowed_audiences body['created_date_time'] = created_date_time body['inference'] = inference body['last_modified_date_time'] = last_modified_date_time body['source'] = source body['last_modified_by'] = {} body['last_modified_by']['application'] = application body['last_modified_by']['device'] = device body['last_modified_by']['user'] = user body['created_by'] = {} body['created_by']['application'] = microsoft_graph_identity_application body['created_by']['device'] = microsoft_graph_identity_device body['created_by']['user'] = microsoft_graph_identity_user body['categories'] = categories body['description'] = description body['display_name'] = display_name body['web_url'] = web_url return client.update_websites(user_id=user_id, person_website_id=person_website_id, body=body)

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128,013

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98

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0.804482

0.003672

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null

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7

c17205df77d363049b2f7fa246a5ed91daa7a69a

47,101

py

Python

sdk/python/pulumi_alicloud/vpc/router_interface.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

42

2019-03-18T06:34:37.000Z

2022-03-24T07:08:57.000Z

sdk/python/pulumi_alicloud/vpc/router_interface.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

152

2019-04-15T21:03:44.000Z

2022-03-29T18:00:57.000Z

sdk/python/pulumi_alicloud/vpc/router_interface.py

pulumi/pulumi-alicloud

9c34d84b4588a7c885c6bec1f03b5016e5a41683

[ "ECL-2.0", "Apache-2.0" ]

3

2020-08-26T17:30:07.000Z

2021-07-05T01:37:45.000Z

# coding=utf-8 # *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** import warnings import pulumi import pulumi.runtime from typing import Any, Mapping, Optional, Sequence, Union, overload from .. import _utilities __all__ = ['RouterInterfaceArgs', 'RouterInterface'] @pulumi.input_type class RouterInterfaceArgs: def __init__(__self__, *, opposite_region: pulumi.Input[str], role: pulumi.Input[str], router_id: pulumi.Input[str], router_type: pulumi.Input[str], description: Optional[pulumi.Input[str]] = None, health_check_source_ip: Optional[pulumi.Input[str]] = None, health_check_target_ip: Optional[pulumi.Input[str]] = None, instance_charge_type: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, opposite_access_point_id: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, specification: Optional[pulumi.Input[str]] = None): """ The set of arguments for constructing a RouterInterface resource. :param pulumi.Input[str] opposite_region: The Region of peer side. :param pulumi.Input[str] role: The role the router interface plays. Optional value: `InitiatingSide`, `AcceptingSide`. :param pulumi.Input[str] router_id: The Router ID. :param pulumi.Input[str] router_type: Router Type. Optional value: VRouter, VBR. Accepting side router interface type only be VRouter. :param pulumi.Input[str] description: Description of the router interface. It can be 2-256 characters long or left blank. It cannot start with http:// and https://. :param pulumi.Input[str] health_check_source_ip: Used as the Packet Source IP of health check for disaster recovery or ECMP. It is only valid when `router_type` is `VBR`. The IP must be an unused IP in the local VPC. It and `health_check_target_ip` must be specified at the same time. :param pulumi.Input[str] health_check_target_ip: Used as the Packet Target IP of health check for disaster recovery or ECMP. It is only valid when `router_type` is `VBR`. The IP must be an unused IP in the local VPC. It and `health_check_source_ip` must be specified at the same time. :param pulumi.Input[str] instance_charge_type: The billing method of the router interface. Valid values are "PrePaid" and "PostPaid". Default to "PostPaid". Router Interface doesn't support "PrePaid" when region and opposite_region are the same. :param pulumi.Input[str] name: Name of the router interface. Length must be 2-80 characters long. Only Chinese characters, English letters, numbers, period (.), underline (_), or dash (-) are permitted. If it is not specified, the default value is interface ID. The name cannot start with http:// and https://. :param pulumi.Input[str] opposite_access_point_id: It has been deprecated from version 1.11.0. :param pulumi.Input[str] specification: Specification of router interfaces. It is valid when `role` is `InitiatingSide`. Accepting side's role is default to set as 'Negative'. For more about the specification, refer to [Router interface specification](https://www.alibabacloud.com/help/doc-detail/36037.htm). """ pulumi.set(__self__, "opposite_region", opposite_region) pulumi.set(__self__, "role", role) pulumi.set(__self__, "router_id", router_id) pulumi.set(__self__, "router_type", router_type) if description is not None: pulumi.set(__self__, "description", description) if health_check_source_ip is not None: pulumi.set(__self__, "health_check_source_ip", health_check_source_ip) if health_check_target_ip is not None: pulumi.set(__self__, "health_check_target_ip", health_check_target_ip) if instance_charge_type is not None: pulumi.set(__self__, "instance_charge_type", instance_charge_type) if name is not None: pulumi.set(__self__, "name", name) if opposite_access_point_id is not None: warnings.warn("""Attribute 'opposite_access_point_id' has been deprecated from version 1.11.0.""", DeprecationWarning) pulumi.log.warn("""opposite_access_point_id is deprecated: Attribute 'opposite_access_point_id' has been deprecated from version 1.11.0.""") if opposite_access_point_id is not None: pulumi.set(__self__, "opposite_access_point_id", opposite_access_point_id) if period is not None: pulumi.set(__self__, "period", period) if specification is not None: pulumi.set(__self__, "specification", specification) @property @pulumi.getter(name="oppositeRegion") def opposite_region(self) -> pulumi.Input[str]: """ The Region of peer side. """ return pulumi.get(self, "opposite_region") @opposite_region.setter def opposite_region(self, value: pulumi.Input[str]): pulumi.set(self, "opposite_region", value) @property @pulumi.getter def role(self) -> pulumi.Input[str]: """ The role the router interface plays. Optional value: `InitiatingSide`, `AcceptingSide`. """ return pulumi.get(self, "role") @role.setter def role(self, value: pulumi.Input[str]): pulumi.set(self, "role", value) @property @pulumi.getter(name="routerId") def router_id(self) -> pulumi.Input[str]: """ The Router ID. """ return pulumi.get(self, "router_id") @router_id.setter def router_id(self, value: pulumi.Input[str]): pulumi.set(self, "router_id", value) @property @pulumi.getter(name="routerType") def router_type(self) -> pulumi.Input[str]: """ Router Type. Optional value: VRouter, VBR. Accepting side router interface type only be VRouter. """ return pulumi.get(self, "router_type") @router_type.setter def router_type(self, value: pulumi.Input[str]): pulumi.set(self, "router_type", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ Description of the router interface. It can be 2-256 characters long or left blank. It cannot start with http:// and https://. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter(name="healthCheckSourceIp") def health_check_source_ip(self) -> Optional[pulumi.Input[str]]: """ Used as the Packet Source IP of health check for disaster recovery or ECMP. It is only valid when `router_type` is `VBR`. The IP must be an unused IP in the local VPC. It and `health_check_target_ip` must be specified at the same time. """ return pulumi.get(self, "health_check_source_ip") @health_check_source_ip.setter def health_check_source_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check_source_ip", value) @property @pulumi.getter(name="healthCheckTargetIp") def health_check_target_ip(self) -> Optional[pulumi.Input[str]]: """ Used as the Packet Target IP of health check for disaster recovery or ECMP. It is only valid when `router_type` is `VBR`. The IP must be an unused IP in the local VPC. It and `health_check_source_ip` must be specified at the same time. """ return pulumi.get(self, "health_check_target_ip") @health_check_target_ip.setter def health_check_target_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check_target_ip", value) @property @pulumi.getter(name="instanceChargeType") def instance_charge_type(self) -> Optional[pulumi.Input[str]]: """ The billing method of the router interface. Valid values are "PrePaid" and "PostPaid". Default to "PostPaid". Router Interface doesn't support "PrePaid" when region and opposite_region are the same. """ return pulumi.get(self, "instance_charge_type") @instance_charge_type.setter def instance_charge_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "instance_charge_type", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the router interface. Length must be 2-80 characters long. Only Chinese characters, English letters, numbers, period (.), underline (_), or dash (-) are permitted. If it is not specified, the default value is interface ID. The name cannot start with http:// and https://. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="oppositeAccessPointId") def opposite_access_point_id(self) -> Optional[pulumi.Input[str]]: """ It has been deprecated from version 1.11.0. """ return pulumi.get(self, "opposite_access_point_id") @opposite_access_point_id.setter def opposite_access_point_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "opposite_access_point_id", value) @property @pulumi.getter def period(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "period") @period.setter def period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "period", value) @property @pulumi.getter def specification(self) -> Optional[pulumi.Input[str]]: """ Specification of router interfaces. It is valid when `role` is `InitiatingSide`. Accepting side's role is default to set as 'Negative'. For more about the specification, refer to [Router interface specification](https://www.alibabacloud.com/help/doc-detail/36037.htm). """ return pulumi.get(self, "specification") @specification.setter def specification(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "specification", value) @pulumi.input_type class _RouterInterfaceState: def __init__(__self__, *, access_point_id: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, health_check_source_ip: Optional[pulumi.Input[str]] = None, health_check_target_ip: Optional[pulumi.Input[str]] = None, instance_charge_type: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, opposite_access_point_id: Optional[pulumi.Input[str]] = None, opposite_interface_id: Optional[pulumi.Input[str]] = None, opposite_interface_owner_id: Optional[pulumi.Input[str]] = None, opposite_region: Optional[pulumi.Input[str]] = None, opposite_router_id: Optional[pulumi.Input[str]] = None, opposite_router_type: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, role: Optional[pulumi.Input[str]] = None, router_id: Optional[pulumi.Input[str]] = None, router_type: Optional[pulumi.Input[str]] = None, specification: Optional[pulumi.Input[str]] = None): """ Input properties used for looking up and filtering RouterInterface resources. :param pulumi.Input[str] access_point_id: It has been deprecated from version 1.11.0. :param pulumi.Input[str] description: Description of the router interface. It can be 2-256 characters long or left blank. It cannot start with http:// and https://. :param pulumi.Input[str] health_check_source_ip: Used as the Packet Source IP of health check for disaster recovery or ECMP. It is only valid when `router_type` is `VBR`. The IP must be an unused IP in the local VPC. It and `health_check_target_ip` must be specified at the same time. :param pulumi.Input[str] health_check_target_ip: Used as the Packet Target IP of health check for disaster recovery or ECMP. It is only valid when `router_type` is `VBR`. The IP must be an unused IP in the local VPC. It and `health_check_source_ip` must be specified at the same time. :param pulumi.Input[str] instance_charge_type: The billing method of the router interface. Valid values are "PrePaid" and "PostPaid". Default to "PostPaid". Router Interface doesn't support "PrePaid" when region and opposite_region are the same. :param pulumi.Input[str] name: Name of the router interface. Length must be 2-80 characters long. Only Chinese characters, English letters, numbers, period (.), underline (_), or dash (-) are permitted. If it is not specified, the default value is interface ID. The name cannot start with http:// and https://. :param pulumi.Input[str] opposite_access_point_id: It has been deprecated from version 1.11.0. :param pulumi.Input[str] opposite_interface_id: It has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_router_id' instead. :param pulumi.Input[str] opposite_interface_owner_id: It has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_interface_id' instead. :param pulumi.Input[str] opposite_region: The Region of peer side. :param pulumi.Input[str] opposite_router_id: It has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_router_id' instead. :param pulumi.Input[str] opposite_router_type: It has been deprecated from version 1.11.0. resource alicloud_router_interface_connection's 'opposite_router_type' instead. :param pulumi.Input[str] role: The role the router interface plays. Optional value: `InitiatingSide`, `AcceptingSide`. :param pulumi.Input[str] router_id: The Router ID. :param pulumi.Input[str] router_type: Router Type. Optional value: VRouter, VBR. Accepting side router interface type only be VRouter. :param pulumi.Input[str] specification: Specification of router interfaces. It is valid when `role` is `InitiatingSide`. Accepting side's role is default to set as 'Negative'. For more about the specification, refer to [Router interface specification](https://www.alibabacloud.com/help/doc-detail/36037.htm). """ if access_point_id is not None: warnings.warn("""Attribute 'opposite_access_point_id' has been deprecated from version 1.11.0.""", DeprecationWarning) pulumi.log.warn("""access_point_id is deprecated: Attribute 'opposite_access_point_id' has been deprecated from version 1.11.0.""") if access_point_id is not None: pulumi.set(__self__, "access_point_id", access_point_id) if description is not None: pulumi.set(__self__, "description", description) if health_check_source_ip is not None: pulumi.set(__self__, "health_check_source_ip", health_check_source_ip) if health_check_target_ip is not None: pulumi.set(__self__, "health_check_target_ip", health_check_target_ip) if instance_charge_type is not None: pulumi.set(__self__, "instance_charge_type", instance_charge_type) if name is not None: pulumi.set(__self__, "name", name) if opposite_access_point_id is not None: warnings.warn("""Attribute 'opposite_access_point_id' has been deprecated from version 1.11.0.""", DeprecationWarning) pulumi.log.warn("""opposite_access_point_id is deprecated: Attribute 'opposite_access_point_id' has been deprecated from version 1.11.0.""") if opposite_access_point_id is not None: pulumi.set(__self__, "opposite_access_point_id", opposite_access_point_id) if opposite_interface_id is not None: warnings.warn("""Attribute 'opposite_interface_id' has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_interface_id' instead.""", DeprecationWarning) pulumi.log.warn("""opposite_interface_id is deprecated: Attribute 'opposite_interface_id' has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_interface_id' instead.""") if opposite_interface_id is not None: pulumi.set(__self__, "opposite_interface_id", opposite_interface_id) if opposite_interface_owner_id is not None: warnings.warn("""Attribute 'opposite_interface_owner_id' has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_interface_owner_id' instead.""", DeprecationWarning) pulumi.log.warn("""opposite_interface_owner_id is deprecated: Attribute 'opposite_interface_owner_id' has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_interface_owner_id' instead.""") if opposite_interface_owner_id is not None: pulumi.set(__self__, "opposite_interface_owner_id", opposite_interface_owner_id) if opposite_region is not None: pulumi.set(__self__, "opposite_region", opposite_region) if opposite_router_id is not None: warnings.warn("""Attribute 'opposite_router_id' has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_router_id' instead.""", DeprecationWarning) pulumi.log.warn("""opposite_router_id is deprecated: Attribute 'opposite_router_id' has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_router_id' instead.""") if opposite_router_id is not None: pulumi.set(__self__, "opposite_router_id", opposite_router_id) if opposite_router_type is not None: warnings.warn("""Attribute 'opposite_router_type' has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_router_type' instead.""", DeprecationWarning) pulumi.log.warn("""opposite_router_type is deprecated: Attribute 'opposite_router_type' has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_router_type' instead.""") if opposite_router_type is not None: pulumi.set(__self__, "opposite_router_type", opposite_router_type) if period is not None: pulumi.set(__self__, "period", period) if role is not None: pulumi.set(__self__, "role", role) if router_id is not None: pulumi.set(__self__, "router_id", router_id) if router_type is not None: pulumi.set(__self__, "router_type", router_type) if specification is not None: pulumi.set(__self__, "specification", specification) @property @pulumi.getter(name="accessPointId") def access_point_id(self) -> Optional[pulumi.Input[str]]: """ It has been deprecated from version 1.11.0. """ return pulumi.get(self, "access_point_id") @access_point_id.setter def access_point_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "access_point_id", value) @property @pulumi.getter def description(self) -> Optional[pulumi.Input[str]]: """ Description of the router interface. It can be 2-256 characters long or left blank. It cannot start with http:// and https://. """ return pulumi.get(self, "description") @description.setter def description(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "description", value) @property @pulumi.getter(name="healthCheckSourceIp") def health_check_source_ip(self) -> Optional[pulumi.Input[str]]: """ Used as the Packet Source IP of health check for disaster recovery or ECMP. It is only valid when `router_type` is `VBR`. The IP must be an unused IP in the local VPC. It and `health_check_target_ip` must be specified at the same time. """ return pulumi.get(self, "health_check_source_ip") @health_check_source_ip.setter def health_check_source_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check_source_ip", value) @property @pulumi.getter(name="healthCheckTargetIp") def health_check_target_ip(self) -> Optional[pulumi.Input[str]]: """ Used as the Packet Target IP of health check for disaster recovery or ECMP. It is only valid when `router_type` is `VBR`. The IP must be an unused IP in the local VPC. It and `health_check_source_ip` must be specified at the same time. """ return pulumi.get(self, "health_check_target_ip") @health_check_target_ip.setter def health_check_target_ip(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "health_check_target_ip", value) @property @pulumi.getter(name="instanceChargeType") def instance_charge_type(self) -> Optional[pulumi.Input[str]]: """ The billing method of the router interface. Valid values are "PrePaid" and "PostPaid". Default to "PostPaid". Router Interface doesn't support "PrePaid" when region and opposite_region are the same. """ return pulumi.get(self, "instance_charge_type") @instance_charge_type.setter def instance_charge_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "instance_charge_type", value) @property @pulumi.getter def name(self) -> Optional[pulumi.Input[str]]: """ Name of the router interface. Length must be 2-80 characters long. Only Chinese characters, English letters, numbers, period (.), underline (_), or dash (-) are permitted. If it is not specified, the default value is interface ID. The name cannot start with http:// and https://. """ return pulumi.get(self, "name") @name.setter def name(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "name", value) @property @pulumi.getter(name="oppositeAccessPointId") def opposite_access_point_id(self) -> Optional[pulumi.Input[str]]: """ It has been deprecated from version 1.11.0. """ return pulumi.get(self, "opposite_access_point_id") @opposite_access_point_id.setter def opposite_access_point_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "opposite_access_point_id", value) @property @pulumi.getter(name="oppositeInterfaceId") def opposite_interface_id(self) -> Optional[pulumi.Input[str]]: """ It has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_router_id' instead. """ return pulumi.get(self, "opposite_interface_id") @opposite_interface_id.setter def opposite_interface_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "opposite_interface_id", value) @property @pulumi.getter(name="oppositeInterfaceOwnerId") def opposite_interface_owner_id(self) -> Optional[pulumi.Input[str]]: """ It has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_interface_id' instead. """ return pulumi.get(self, "opposite_interface_owner_id") @opposite_interface_owner_id.setter def opposite_interface_owner_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "opposite_interface_owner_id", value) @property @pulumi.getter(name="oppositeRegion") def opposite_region(self) -> Optional[pulumi.Input[str]]: """ The Region of peer side. """ return pulumi.get(self, "opposite_region") @opposite_region.setter def opposite_region(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "opposite_region", value) @property @pulumi.getter(name="oppositeRouterId") def opposite_router_id(self) -> Optional[pulumi.Input[str]]: """ It has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_router_id' instead. """ return pulumi.get(self, "opposite_router_id") @opposite_router_id.setter def opposite_router_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "opposite_router_id", value) @property @pulumi.getter(name="oppositeRouterType") def opposite_router_type(self) -> Optional[pulumi.Input[str]]: """ It has been deprecated from version 1.11.0. resource alicloud_router_interface_connection's 'opposite_router_type' instead. """ return pulumi.get(self, "opposite_router_type") @opposite_router_type.setter def opposite_router_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "opposite_router_type", value) @property @pulumi.getter def period(self) -> Optional[pulumi.Input[int]]: return pulumi.get(self, "period") @period.setter def period(self, value: Optional[pulumi.Input[int]]): pulumi.set(self, "period", value) @property @pulumi.getter def role(self) -> Optional[pulumi.Input[str]]: """ The role the router interface plays. Optional value: `InitiatingSide`, `AcceptingSide`. """ return pulumi.get(self, "role") @role.setter def role(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "role", value) @property @pulumi.getter(name="routerId") def router_id(self) -> Optional[pulumi.Input[str]]: """ The Router ID. """ return pulumi.get(self, "router_id") @router_id.setter def router_id(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "router_id", value) @property @pulumi.getter(name="routerType") def router_type(self) -> Optional[pulumi.Input[str]]: """ Router Type. Optional value: VRouter, VBR. Accepting side router interface type only be VRouter. """ return pulumi.get(self, "router_type") @router_type.setter def router_type(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "router_type", value) @property @pulumi.getter def specification(self) -> Optional[pulumi.Input[str]]: """ Specification of router interfaces. It is valid when `role` is `InitiatingSide`. Accepting side's role is default to set as 'Negative'. For more about the specification, refer to [Router interface specification](https://www.alibabacloud.com/help/doc-detail/36037.htm). """ return pulumi.get(self, "specification") @specification.setter def specification(self, value: Optional[pulumi.Input[str]]): pulumi.set(self, "specification", value) class RouterInterface(pulumi.CustomResource): @overload def __init__(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, description: Optional[pulumi.Input[str]] = None, health_check_source_ip: Optional[pulumi.Input[str]] = None, health_check_target_ip: Optional[pulumi.Input[str]] = None, instance_charge_type: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, opposite_access_point_id: Optional[pulumi.Input[str]] = None, opposite_region: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, role: Optional[pulumi.Input[str]] = None, router_id: Optional[pulumi.Input[str]] = None, router_type: Optional[pulumi.Input[str]] = None, specification: Optional[pulumi.Input[str]] = None, __props__=None): """ ## Import The router interface can be imported using the id, e.g. ```sh $ pulumi import alicloud:vpc/routerInterface:RouterInterface interface ri-abc123456 ``` :param str resource_name: The name of the resource. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] description: Description of the router interface. It can be 2-256 characters long or left blank. It cannot start with http:// and https://. :param pulumi.Input[str] health_check_source_ip: Used as the Packet Source IP of health check for disaster recovery or ECMP. It is only valid when `router_type` is `VBR`. The IP must be an unused IP in the local VPC. It and `health_check_target_ip` must be specified at the same time. :param pulumi.Input[str] health_check_target_ip: Used as the Packet Target IP of health check for disaster recovery or ECMP. It is only valid when `router_type` is `VBR`. The IP must be an unused IP in the local VPC. It and `health_check_source_ip` must be specified at the same time. :param pulumi.Input[str] instance_charge_type: The billing method of the router interface. Valid values are "PrePaid" and "PostPaid". Default to "PostPaid". Router Interface doesn't support "PrePaid" when region and opposite_region are the same. :param pulumi.Input[str] name: Name of the router interface. Length must be 2-80 characters long. Only Chinese characters, English letters, numbers, period (.), underline (_), or dash (-) are permitted. If it is not specified, the default value is interface ID. The name cannot start with http:// and https://. :param pulumi.Input[str] opposite_access_point_id: It has been deprecated from version 1.11.0. :param pulumi.Input[str] opposite_region: The Region of peer side. :param pulumi.Input[str] role: The role the router interface plays. Optional value: `InitiatingSide`, `AcceptingSide`. :param pulumi.Input[str] router_id: The Router ID. :param pulumi.Input[str] router_type: Router Type. Optional value: VRouter, VBR. Accepting side router interface type only be VRouter. :param pulumi.Input[str] specification: Specification of router interfaces. It is valid when `role` is `InitiatingSide`. Accepting side's role is default to set as 'Negative'. For more about the specification, refer to [Router interface specification](https://www.alibabacloud.com/help/doc-detail/36037.htm). """ ... @overload def __init__(__self__, resource_name: str, args: RouterInterfaceArgs, opts: Optional[pulumi.ResourceOptions] = None): """ ## Import The router interface can be imported using the id, e.g. ```sh $ pulumi import alicloud:vpc/routerInterface:RouterInterface interface ri-abc123456 ``` :param str resource_name: The name of the resource. :param RouterInterfaceArgs args: The arguments to use to populate this resource's properties. :param pulumi.ResourceOptions opts: Options for the resource. """ ... def __init__(__self__, resource_name: str, *args, **kwargs): resource_args, opts = _utilities.get_resource_args_opts(RouterInterfaceArgs, pulumi.ResourceOptions, *args, **kwargs) if resource_args is not None: __self__._internal_init(resource_name, opts, **resource_args.__dict__) else: __self__._internal_init(resource_name, *args, **kwargs) def _internal_init(__self__, resource_name: str, opts: Optional[pulumi.ResourceOptions] = None, description: Optional[pulumi.Input[str]] = None, health_check_source_ip: Optional[pulumi.Input[str]] = None, health_check_target_ip: Optional[pulumi.Input[str]] = None, instance_charge_type: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, opposite_access_point_id: Optional[pulumi.Input[str]] = None, opposite_region: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, role: Optional[pulumi.Input[str]] = None, router_id: Optional[pulumi.Input[str]] = None, router_type: Optional[pulumi.Input[str]] = None, specification: Optional[pulumi.Input[str]] = None, __props__=None): if opts is None: opts = pulumi.ResourceOptions() if not isinstance(opts, pulumi.ResourceOptions): raise TypeError('Expected resource options to be a ResourceOptions instance') if opts.version is None: opts.version = _utilities.get_version() if opts.id is None: if __props__ is not None: raise TypeError('__props__ is only valid when passed in combination with a valid opts.id to get an existing resource') __props__ = RouterInterfaceArgs.__new__(RouterInterfaceArgs) __props__.__dict__["description"] = description __props__.__dict__["health_check_source_ip"] = health_check_source_ip __props__.__dict__["health_check_target_ip"] = health_check_target_ip __props__.__dict__["instance_charge_type"] = instance_charge_type __props__.__dict__["name"] = name if opposite_access_point_id is not None and not opts.urn: warnings.warn("""Attribute 'opposite_access_point_id' has been deprecated from version 1.11.0.""", DeprecationWarning) pulumi.log.warn("""opposite_access_point_id is deprecated: Attribute 'opposite_access_point_id' has been deprecated from version 1.11.0.""") __props__.__dict__["opposite_access_point_id"] = opposite_access_point_id if opposite_region is None and not opts.urn: raise TypeError("Missing required property 'opposite_region'") __props__.__dict__["opposite_region"] = opposite_region __props__.__dict__["period"] = period if role is None and not opts.urn: raise TypeError("Missing required property 'role'") __props__.__dict__["role"] = role if router_id is None and not opts.urn: raise TypeError("Missing required property 'router_id'") __props__.__dict__["router_id"] = router_id if router_type is None and not opts.urn: raise TypeError("Missing required property 'router_type'") __props__.__dict__["router_type"] = router_type __props__.__dict__["specification"] = specification __props__.__dict__["access_point_id"] = None __props__.__dict__["opposite_interface_id"] = None __props__.__dict__["opposite_interface_owner_id"] = None __props__.__dict__["opposite_router_id"] = None __props__.__dict__["opposite_router_type"] = None super(RouterInterface, __self__).__init__( 'alicloud:vpc/routerInterface:RouterInterface', resource_name, __props__, opts) @staticmethod def get(resource_name: str, id: pulumi.Input[str], opts: Optional[pulumi.ResourceOptions] = None, access_point_id: Optional[pulumi.Input[str]] = None, description: Optional[pulumi.Input[str]] = None, health_check_source_ip: Optional[pulumi.Input[str]] = None, health_check_target_ip: Optional[pulumi.Input[str]] = None, instance_charge_type: Optional[pulumi.Input[str]] = None, name: Optional[pulumi.Input[str]] = None, opposite_access_point_id: Optional[pulumi.Input[str]] = None, opposite_interface_id: Optional[pulumi.Input[str]] = None, opposite_interface_owner_id: Optional[pulumi.Input[str]] = None, opposite_region: Optional[pulumi.Input[str]] = None, opposite_router_id: Optional[pulumi.Input[str]] = None, opposite_router_type: Optional[pulumi.Input[str]] = None, period: Optional[pulumi.Input[int]] = None, role: Optional[pulumi.Input[str]] = None, router_id: Optional[pulumi.Input[str]] = None, router_type: Optional[pulumi.Input[str]] = None, specification: Optional[pulumi.Input[str]] = None) -> 'RouterInterface': """ Get an existing RouterInterface resource's state with the given name, id, and optional extra properties used to qualify the lookup. :param str resource_name: The unique name of the resulting resource. :param pulumi.Input[str] id: The unique provider ID of the resource to lookup. :param pulumi.ResourceOptions opts: Options for the resource. :param pulumi.Input[str] access_point_id: It has been deprecated from version 1.11.0. :param pulumi.Input[str] description: Description of the router interface. It can be 2-256 characters long or left blank. It cannot start with http:// and https://. :param pulumi.Input[str] health_check_source_ip: Used as the Packet Source IP of health check for disaster recovery or ECMP. It is only valid when `router_type` is `VBR`. The IP must be an unused IP in the local VPC. It and `health_check_target_ip` must be specified at the same time. :param pulumi.Input[str] health_check_target_ip: Used as the Packet Target IP of health check for disaster recovery or ECMP. It is only valid when `router_type` is `VBR`. The IP must be an unused IP in the local VPC. It and `health_check_source_ip` must be specified at the same time. :param pulumi.Input[str] instance_charge_type: The billing method of the router interface. Valid values are "PrePaid" and "PostPaid". Default to "PostPaid". Router Interface doesn't support "PrePaid" when region and opposite_region are the same. :param pulumi.Input[str] name: Name of the router interface. Length must be 2-80 characters long. Only Chinese characters, English letters, numbers, period (.), underline (_), or dash (-) are permitted. If it is not specified, the default value is interface ID. The name cannot start with http:// and https://. :param pulumi.Input[str] opposite_access_point_id: It has been deprecated from version 1.11.0. :param pulumi.Input[str] opposite_interface_id: It has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_router_id' instead. :param pulumi.Input[str] opposite_interface_owner_id: It has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_interface_id' instead. :param pulumi.Input[str] opposite_region: The Region of peer side. :param pulumi.Input[str] opposite_router_id: It has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_router_id' instead. :param pulumi.Input[str] opposite_router_type: It has been deprecated from version 1.11.0. resource alicloud_router_interface_connection's 'opposite_router_type' instead. :param pulumi.Input[str] role: The role the router interface plays. Optional value: `InitiatingSide`, `AcceptingSide`. :param pulumi.Input[str] router_id: The Router ID. :param pulumi.Input[str] router_type: Router Type. Optional value: VRouter, VBR. Accepting side router interface type only be VRouter. :param pulumi.Input[str] specification: Specification of router interfaces. It is valid when `role` is `InitiatingSide`. Accepting side's role is default to set as 'Negative'. For more about the specification, refer to [Router interface specification](https://www.alibabacloud.com/help/doc-detail/36037.htm). """ opts = pulumi.ResourceOptions.merge(opts, pulumi.ResourceOptions(id=id)) __props__ = _RouterInterfaceState.__new__(_RouterInterfaceState) __props__.__dict__["access_point_id"] = access_point_id __props__.__dict__["description"] = description __props__.__dict__["health_check_source_ip"] = health_check_source_ip __props__.__dict__["health_check_target_ip"] = health_check_target_ip __props__.__dict__["instance_charge_type"] = instance_charge_type __props__.__dict__["name"] = name __props__.__dict__["opposite_access_point_id"] = opposite_access_point_id __props__.__dict__["opposite_interface_id"] = opposite_interface_id __props__.__dict__["opposite_interface_owner_id"] = opposite_interface_owner_id __props__.__dict__["opposite_region"] = opposite_region __props__.__dict__["opposite_router_id"] = opposite_router_id __props__.__dict__["opposite_router_type"] = opposite_router_type __props__.__dict__["period"] = period __props__.__dict__["role"] = role __props__.__dict__["router_id"] = router_id __props__.__dict__["router_type"] = router_type __props__.__dict__["specification"] = specification return RouterInterface(resource_name, opts=opts, __props__=__props__) @property @pulumi.getter(name="accessPointId") def access_point_id(self) -> pulumi.Output[str]: """ It has been deprecated from version 1.11.0. """ return pulumi.get(self, "access_point_id") @property @pulumi.getter def description(self) -> pulumi.Output[Optional[str]]: """ Description of the router interface. It can be 2-256 characters long or left blank. It cannot start with http:// and https://. """ return pulumi.get(self, "description") @property @pulumi.getter(name="healthCheckSourceIp") def health_check_source_ip(self) -> pulumi.Output[Optional[str]]: """ Used as the Packet Source IP of health check for disaster recovery or ECMP. It is only valid when `router_type` is `VBR`. The IP must be an unused IP in the local VPC. It and `health_check_target_ip` must be specified at the same time. """ return pulumi.get(self, "health_check_source_ip") @property @pulumi.getter(name="healthCheckTargetIp") def health_check_target_ip(self) -> pulumi.Output[Optional[str]]: """ Used as the Packet Target IP of health check for disaster recovery or ECMP. It is only valid when `router_type` is `VBR`. The IP must be an unused IP in the local VPC. It and `health_check_source_ip` must be specified at the same time. """ return pulumi.get(self, "health_check_target_ip") @property @pulumi.getter(name="instanceChargeType") def instance_charge_type(self) -> pulumi.Output[Optional[str]]: """ The billing method of the router interface. Valid values are "PrePaid" and "PostPaid". Default to "PostPaid". Router Interface doesn't support "PrePaid" when region and opposite_region are the same. """ return pulumi.get(self, "instance_charge_type") @property @pulumi.getter def name(self) -> pulumi.Output[str]: """ Name of the router interface. Length must be 2-80 characters long. Only Chinese characters, English letters, numbers, period (.), underline (_), or dash (-) are permitted. If it is not specified, the default value is interface ID. The name cannot start with http:// and https://. """ return pulumi.get(self, "name") @property @pulumi.getter(name="oppositeAccessPointId") def opposite_access_point_id(self) -> pulumi.Output[Optional[str]]: """ It has been deprecated from version 1.11.0. """ return pulumi.get(self, "opposite_access_point_id") @property @pulumi.getter(name="oppositeInterfaceId") def opposite_interface_id(self) -> pulumi.Output[str]: """ It has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_router_id' instead. """ return pulumi.get(self, "opposite_interface_id") @property @pulumi.getter(name="oppositeInterfaceOwnerId") def opposite_interface_owner_id(self) -> pulumi.Output[str]: """ It has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_interface_id' instead. """ return pulumi.get(self, "opposite_interface_owner_id") @property @pulumi.getter(name="oppositeRegion") def opposite_region(self) -> pulumi.Output[str]: """ The Region of peer side. """ return pulumi.get(self, "opposite_region") @property @pulumi.getter(name="oppositeRouterId") def opposite_router_id(self) -> pulumi.Output[str]: """ It has been deprecated from version 1.11.0. Use resource alicloud_router_interface_connection's 'opposite_router_id' instead. """ return pulumi.get(self, "opposite_router_id") @property @pulumi.getter(name="oppositeRouterType") def opposite_router_type(self) -> pulumi.Output[str]: """ It has been deprecated from version 1.11.0. resource alicloud_router_interface_connection's 'opposite_router_type' instead. """ return pulumi.get(self, "opposite_router_type") @property @pulumi.getter def period(self) -> pulumi.Output[Optional[int]]: return pulumi.get(self, "period") @property @pulumi.getter def role(self) -> pulumi.Output[str]: """ The role the router interface plays. Optional value: `InitiatingSide`, `AcceptingSide`. """ return pulumi.get(self, "role") @property @pulumi.getter(name="routerId") def router_id(self) -> pulumi.Output[str]: """ The Router ID. """ return pulumi.get(self, "router_id") @property @pulumi.getter(name="routerType") def router_type(self) -> pulumi.Output[str]: """ Router Type. Optional value: VRouter, VBR. Accepting side router interface type only be VRouter. """ return pulumi.get(self, "router_type") @property @pulumi.getter def specification(self) -> pulumi.Output[Optional[str]]: """ Specification of router interfaces. It is valid when `role` is `InitiatingSide`. Accepting side's role is default to set as 'Negative'. For more about the specification, refer to [Router interface specification](https://www.alibabacloud.com/help/doc-detail/36037.htm). """ return pulumi.get(self, "specification")

56.139452

316

0.685039

6,065

47,101

5.084089

0.039077

0.066353

0.079455

0.076342

0.941819

0.925215

0.903584

0.882277

0.861424

0.852181

0

0.007293

0.216874

47,101

838

317

56.206444

0.828661

0.363708

0

0.741313

1

0.015444

0.182732

0.070225

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1

0.158301

false

0.001931

0.009653

0.005792

0.264479

0

null

0

1

0

1

0

null

0

8

c1804dc503cc990279d12d8ae343d09521e4916e

1,403

py

Python

key_move.py

homma/terminal-dots

84b866e6f148ac2c631652de73903e1413be5bc8

[ "MIT" ]

null

key_move.py

homma/terminal-dots

84b866e6f148ac2c631652de73903e1413be5bc8

[ "MIT" ]

null

key_move.py

homma/terminal-dots

84b866e6f148ac2c631652de73903e1413be5bc8

[ "MIT" ]

null

## key_move.py import curses def up(app): app.win.chgat(1, curses.A_NORMAL) y, x = app.win.getyx() if y != 0: app.win.move(y - 1, x) app.win.chgat(1, curses.A_UNDERLINE) def down(app): app.win.chgat(1, curses.A_NORMAL) y, x = app.win.getyx() h, w = app.win.getmaxyx() max_y = h - 1 if y < max_y: app.win.move(y + 1, x) app.win.chgat(1, curses.A_UNDERLINE) def top(app): app.win.chgat(1, curses.A_NORMAL) y, x = app.win.getyx() app.win.move(0, x) app.win.chgat(1, curses.A_UNDERLINE) def bottom(app): app.win.chgat(1, curses.A_NORMAL) y, x = app.win.getyx() h, w = app.win.getmaxyx() max_y = h - 1 app.win.move(max_y, x) app.win.chgat(1, curses.A_UNDERLINE) def left(app): app.win.chgat(1, curses.A_NORMAL) y, x = app.win.getyx() if x != 0: app.win.move(y, x - 1) app.win.chgat(1, curses.A_UNDERLINE) def right(app): app.win.chgat(1, curses.A_NORMAL) y, x = app.win.getyx() h, w = app.win.getmaxyx() max_x = w - 1 if x < max_x: app.win.move(y, x + 1) app.win.chgat(1, curses.A_UNDERLINE) def right_end(app): app.win.chgat(1, curses.A_NORMAL) y, x = app.win.getyx() h, w = app.win.getmaxyx() max_x = w - 1 app.win.move(y, max_x) app.win.chgat(1, curses.A_UNDERLINE) def left_end(app): app.win.chgat(1, curses.A_NORMAL) y, x = app.win.getyx() app.win.move(y, 0) app.win.chgat(1, curses.A_UNDERLINE)

21.257576

38

0.626515

279

1,403

3.053763

0.103943

0.253521

0.206573

0.225352

0.899061

0.896714

0.86385

0.826291

0

0.024648

0.190306

1,403

65

39

21.584615

0.725352

0.00784

0

0.603774

0

1

0.150943

false

0

0.018868

0

0.169811

0

null

1

0

null

0

9

c1b7403616a8717012c0fb5686229ed9b29fa574

88

py

Python

app/settings/defaults.py

pedrolp85/pydevice

39b961bb67f59ac9a9373ecc99748e07505b249e

[ "Apache-2.0" ]

null

app/settings/defaults.py

pedrolp85/pydevice

39b961bb67f59ac9a9373ecc99748e07505b249e

[ "Apache-2.0" ]

null

app/settings/defaults.py

pedrolp85/pydevice

39b961bb67f59ac9a9373ecc99748e07505b249e

[ "Apache-2.0" ]

null

from .settings import Settings def get_settings() -> Settings : return Settings()

14.666667

32

0.715909

10

88

6.2

0.6

0

0.193182

88

5

33

17.6

0.873239

0

1

0.333333

true

0

0.333333

1

0

1

0

null

0

1

0

null

0

1

0

1

0

7

c1e0f7502de0ced75ef63e164c1de15460d7f76b

47

py

Python

cffi/golay.py

CuckooEXE/golay

41aaf9346a527811a401d3cdc6b0664fe59c1bbb

[ "MIT" ]

null

cffi/golay.py

CuckooEXE/golay

41aaf9346a527811a401d3cdc6b0664fe59c1bbb

[ "MIT" ]

null

cffi/golay.py

CuckooEXE/golay

41aaf9346a527811a401d3cdc6b0664fe59c1bbb

[ "MIT" ]

null

import pygolay.lib print(pygolay.lib.add(1,2))

15.666667

27

0.765957

9

47

4

0.777778

0.555556

0

0.045455

0.06383

47

3

27

15.666667

0.772727

0

1

0

true

0

0.5

0

0.5

1

0

null

1

0

1

0

null

0

1

0

1

0

1

0

7

c1e83655c635d0e648f3bbbc4540fabe38df13d0

90,070

py

Python

escriptcore/test/python/test_util_spatial_functions1.py

markendr/esys-escript.github.io

0023eab09cd71f830ab098cb3a468e6139191e8d

[ "Apache-2.0" ]

null

escriptcore/test/python/test_util_spatial_functions1.py

markendr/esys-escript.github.io

0023eab09cd71f830ab098cb3a468e6139191e8d

[ "Apache-2.0" ]

1

2019-01-14T03:07:43.000Z

escriptcore/test/python/test_util_spatial_functions1.py

markendr/esys-escript.github.io

0023eab09cd71f830ab098cb3a468e6139191e8d

[ "Apache-2.0" ]

null

############################################################################## # # Copyright (c) 2003-2018 by The University of Queensland # http://www.uq.edu.au # # Primary Business: Queensland, Australia # Licensed under the Apache License, version 2.0 # http://www.apache.org/licenses/LICENSE-2.0 # # Development until 2012 by Earth Systems Science Computational Center (ESSCC) # Development 2012-2013 by School of Earth Sciences # Development from 2014 by Centre for Geoscience Computing (GeoComp) # ############################################################################## from __future__ import print_function, division __copyright__="""Copyright (c) 2003-2018 by The University of Queensland http://www.uq.edu.au Primary Business: Queensland, Australia""" __license__="""Licensed under the Apache License, version 2.0 http://www.apache.org/licenses/LICENSE-2.0""" __url__="https://launchpad.net/escript-finley" """ basic tests for functions in util.py effecting the spatial distribution it is assumed that the domain is the usint square/cube not all these test will run for all domains. check the doc string for the assumptions of a particular test :var __author__: name of author :var __copyright__: copyrights :var __license__: licence agreement :var __url__: url entry point on documentation :var __version__: version :var __date__: date of the version """ __author__="Lutz Gross, l.gross@uq.edu.au" import esys.escriptcore.utestselect as unittest from esys.escript import * from numpy import array import numpy from test_util_grad import Test_Util_Gradient_noBoundary from test_util_integrals import Test_Util_Integration_noContact from test_util_interpolation import Test_Util_Interpolation_noContact class Test_Util_SpatialFunctions_noGradOnBoundary_noContact(Test_Util_Integration_noContact, Test_Util_Interpolation_noContact, Test_Util_Gradient_noBoundary): RES_TOL=1.e-8 def test_x_ofDomain(self): """ test getX() of the domain to be in the [0,1]^dim box """ dim=self.domain.getDim() x=self.domain.getX() self.assertEqual(x.getShape(),(dim,),"wrong shape of result.") self.assertAlmostEqual(inf(x[0]),0.,int(-log10(self.RES_TOL)),"min x0 wrong") self.assertAlmostEqual(sup(x[0]),1.,int(-log10(self.RES_TOL)),"max x0 wrong") self.assertAlmostEqual(inf(x[1]),0.,int(-log10(self.RES_TOL)),"min x1 wrong") self.assertAlmostEqual(sup(x[1]),1.,int(-log10(self.RES_TOL)),"max x1 wrong") if dim>2: self.assertAlmostEqual(inf(x[2]),0.,int(-log10(self.RES_TOL)),"min x2 wrong") self.assertAlmostEqual(sup(x[2]),1.,int(-log10(self.RES_TOL)),"max x2 wrong") def test_SolutionOrder(self): """ test the approximation order """ self.assertEqual(self.order, Solution(self.domain).getApproximationOrder(), "wrong order (Solution)") self.assertEqual(self.order, ContinuousFunction(self.domain).getApproximationOrder(), "wrong order (continuous function)") self.assertEqual(1, ReducedSolution(self.domain).getApproximationOrder(), "wrong order (ReducedSolution)") self.assertEqual(1, ReducedContinuousFunction(self.domain).getApproximationOrder(), "wrong order (Reduced continuous function)") for i in range(self.domain.getDim()): for k in range(Function(self.domain).getApproximationOrder()+1): self.assertAlmostEqual(integrate(Function(self.domain).getX()[i]**k),1./(k+1),8,"wrong integral (i=%s, order = %s)"%(i,k)) for k in range(ReducedFunction(self.domain).getApproximationOrder()+1): self.assertAlmostEqual(integrate(ReducedFunction(self.domain).getX()[i]**k),1./(k+1),8,"wrong integral (i=%s, order = %s (reduced))"%(i,k)) def test_normal_FunctionOnBoundary(self): """ test getNormal() on boundary assumptions: FunctionOnBoundary(self.domain) exists """ dim=self.domain.getDim() f=FunctionOnBoundary(self.domain) x=f.getX() ref=Vector(0.,what=f) if dim==3: ref.setTaggedValue(200,[0,0,1]) ref.setTaggedValue(100,[0,0,-1]) ref.setTaggedValue(20,[0,1,0]) ref.setTaggedValue(10,[0,-1,0]) ref.setTaggedValue(2,[1,0,0]) ref.setTaggedValue(1,[-1,0,0]) else: ref.setTaggedValue(2,[1,0]) ref.setTaggedValue(1,[-1,0]) ref.setTaggedValue(20, [0,1]) ref.setTaggedValue(10, [0,-1]) res=f.getNormal() self.assertEqual(res.getShape(),(dim,),"wrong shape of result.") self.assertEqual(res.getFunctionSpace(),f,"wrong functionspace of result.") self.assertLess(Lsup(ref-res), self.RES_TOL, "wrong result") def test_normal_ReducedFunctionOnBoundary(self): """ test getNormal() on boundary assumptions: FunctionOnBoundary(self.domain) exists """ dim=self.domain.getDim() f=ReducedFunctionOnBoundary(self.domain) x=f.getX() ref=Vector(0.,what=f) if dim==3: ref.setTaggedValue(200,[0,0,1]) ref.setTaggedValue(100,[0,0,-1]) ref.setTaggedValue(20,[0,1,0]) ref.setTaggedValue(10,[0,-1,0]) ref.setTaggedValue(2,[1,0,0]) ref.setTaggedValue(1,[-1,0,0]) else: ref.setTaggedValue(2,[1,0]) ref.setTaggedValue(1,[-1,0]) ref.setTaggedValue(20, [0,1]) ref.setTaggedValue(10, [0,-1]) res=f.getNormal() self.assertEqual(res.getShape(),(dim,),"wrong shape of result.") self.assertEqual(res.getFunctionSpace(),f,"wrong functionspace of result.") self.assertLess(Lsup(ref-res), self.RES_TOL, "wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onFunction_fromData_rank0(self): """ tests L2-norm of Data on the Function assumptions: self.domain supports integration on Function """ dim=self.domain.getDim() w=Function(self.domain) x=w.getX() if dim==2: arg=Data(0,(),w) arg=(0.608797336225)*x[0] ref=sqrt((0.123544732198)) else: arg=Data(0,(),w) arg=(0.136031275673)*x[0] ref=sqrt((0.00616816932037)) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onFunction_fromData_rank1(self): """ tests L2-norm of Data on the Function assumptions: self.domain supports integration on Function """ dim=self.domain.getDim() w=Function(self.domain) x=w.getX() if dim==2: arg=Data(0,(2,),w) arg[0]=(-0.212143919436)*x[0] arg[1]=(-0.256194155686)*x[1] ref=sqrt((0.0368801626538)) else: arg=Data(0,(3,),w) arg[0]=(0.0452831341416)*x[0] arg[1]=(-0.278640180656)*x[1] arg[2]=(-0.607035001062)*x[2] ref=sqrt((0.149394135009)) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onFunction_fromData_rank2(self): """ tests L2-norm of Data on the Function assumptions: self.domain supports integration on Function """ dim=self.domain.getDim() w=Function(self.domain) x=w.getX() if dim==2: arg=Data(0,(4, 2),w) arg[0,0]=(0.239448813076)*x[0] arg[0,1]=(-0.529349708753)*x[1] arg[1,0]=(-0.381557161859)*x[0] arg[1,1]=(0.731658534249)*x[1] arg[2,0]=(-0.813679062342)*x[0] arg[2,1]=(0.528100089704)*x[1] arg[3,0]=(-0.480867528161)*x[0] arg[3,1]=(-0.167862206972)*x[1] ref=sqrt((0.739610516051)) else: arg=Data(0,(4, 3),w) arg[0,0]=(0.951209543612)*x[0] arg[0,1]=(0.735178735637)*x[1] arg[0,2]=(0.13074673272)*x[2] arg[1,0]=(0.412295676715)*x[0] arg[1,1]=(-0.657695950153)*x[1] arg[1,2]=(-0.900044734695)*x[2] arg[2,0]=(0.741773926224)*x[0] arg[2,1]=(0.0521828807406)*x[1] arg[2,2]=(0.797728501985)*x[2] arg[3,0]=(-0.61235554051)*x[0] arg[3,1]=(0.456652747412)*x[1] arg[3,2]=(-0.734303857319)*x[2] ref=sqrt((1.72901661926)) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onFunction_fromData_rank3(self): """ tests L2-norm of Data on the Function assumptions: self.domain supports integration on Function """ dim=self.domain.getDim() w=Function(self.domain) x=w.getX() if dim==2: arg=Data(0,(6, 2, 2),w) arg[0,0,0]=(0.449174971953)*x[0] arg[0,0,1]=(-0.0109398763289)*x[1] arg[0,1,0]=(-0.202497187709)*x[0] arg[0,1,1]=(-0.12970879334)*x[1] arg[1,0,0]=(-0.138092481719)*x[0] arg[1,0,1]=(-0.528752200917)*x[1] arg[1,1,0]=(-0.605919441662)*x[0] arg[1,1,1]=(0.215615032334)*x[1] arg[2,0,0]=(-0.998734541972)*x[0] arg[2,0,1]=(0.725811901251)*x[1] arg[2,1,0]=(-0.966536503228)*x[0] arg[2,1,1]=(-0.528692217355)*x[1] arg[3,0,0]=(0.757633851466)*x[0] arg[3,0,1]=(-0.524660157377)*x[1] arg[3,1,0]=(0.983733431677)*x[0] arg[3,1,1]=(0.061279109546)*x[1] arg[4,0,0]=(0.85914215305)*x[0] arg[4,0,1]=(0.941714045112)*x[1] arg[4,1,0]=(0.172235529555)*x[0] arg[4,1,1]=(-0.108381454437)*x[1] arg[5,0,0]=(-0.736373697727)*x[0] arg[5,0,1]=(-0.599337929679)*x[1] arg[5,1,0]=(0.661072686392)*x[0] arg[5,1,1]=(-0.55107327409)*x[1] ref=sqrt((2.94641432714)) else: arg=Data(0,(6, 2, 3),w) arg[0,0,0]=(0.69227064904)*x[0] arg[0,0,1]=(-0.968336177418)*x[1] arg[0,0,2]=(-0.634883146685)*x[2] arg[0,1,0]=(-0.12640661422)*x[0] arg[0,1,1]=(-0.637386589888)*x[1] arg[0,1,2]=(0.26060859356)*x[2] arg[1,0,0]=(-0.986864633297)*x[0] arg[1,0,1]=(-0.441589142379)*x[1] arg[1,0,2]=(-0.587865539582)*x[2] arg[1,1,0]=(0.596052465031)*x[0] arg[1,1,1]=(0.312732336652)*x[1] arg[1,1,2]=(-0.514423945092)*x[2] arg[2,0,0]=(-0.892391254794)*x[0] arg[2,0,1]=(0.377920185756)*x[1] arg[2,0,2]=(-0.120174597181)*x[2] arg[2,1,0]=(-0.469951576468)*x[0] arg[2,1,1]=(-0.788362249555)*x[1] arg[2,1,2]=(0.745625354986)*x[2] arg[3,0,0]=(0.542802498569)*x[0] arg[3,0,1]=(-0.814541028706)*x[1] arg[3,0,2]=(0.298410992196)*x[2] arg[3,1,0]=(0.981190341206)*x[0] arg[3,1,1]=(0.666421298608)*x[1] arg[3,1,2]=(-0.369751722626)*x[2] arg[4,0,0]=(-0.75379530597)*x[0] arg[4,0,1]=(0.283357267139)*x[1] arg[4,0,2]=(0.247787072861)*x[2] arg[4,1,0]=(0.301766692533)*x[0] arg[4,1,1]=(0.828183439224)*x[1] arg[4,1,2]=(-0.580824060547)*x[2] arg[5,0,0]=(0.637345610764)*x[0] arg[5,0,1]=(-0.234409115997)*x[1] arg[5,0,2]=(-0.192639300316)*x[2] arg[5,1,0]=(-0.62609237162)*x[0] arg[5,1,1]=(0.463404958552)*x[1] arg[5,1,2]=(-0.547814448738)*x[2] ref=sqrt((4.2381131862)) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onFunction_fromData_rank4(self): """ tests L2-norm of Data on the Function assumptions: self.domain supports integration on Function """ dim=self.domain.getDim() w=Function(self.domain) x=w.getX() if dim==2: arg=Data(0,(4, 5, 3, 2),w) arg[0,0,0,0]=(-0.232618585183)*x[0] arg[0,0,0,1]=(0.39796117869)*x[1] arg[0,0,1,0]=(-0.997336958262)*x[0] arg[0,0,1,1]=(-0.351780915076)*x[1] arg[0,0,2,0]=(-0.876764070136)*x[0] arg[0,0,2,1]=(0.808730805817)*x[1] arg[0,1,0,0]=(-0.197154744966)*x[0] arg[0,1,0,1]=(0.416246096086)*x[1] arg[0,1,1,0]=(0.708038457121)*x[0] arg[0,1,1,1]=(-0.00954021503188)*x[1] arg[0,1,2,0]=(-0.62630809425)*x[0] arg[0,1,2,1]=(0.430228727912)*x[1] arg[0,2,0,0]=(0.0306704747648)*x[0] arg[0,2,0,1]=(-0.913877199453)*x[1] arg[0,2,1,0]=(-0.697612800829)*x[0] arg[0,2,1,1]=(-0.17996376822)*x[1] arg[0,2,2,0]=(-0.304509578871)*x[0] arg[0,2,2,1]=(-0.610556755811)*x[1] arg[0,3,0,0]=(-0.452355972234)*x[0] arg[0,3,0,1]=(-0.368921242518)*x[1] arg[0,3,1,0]=(-0.478275554932)*x[0] arg[0,3,1,1]=(0.257178549127)*x[1] arg[0,3,2,0]=(0.530736487177)*x[0] arg[0,3,2,1]=(-0.567126272463)*x[1] arg[0,4,0,0]=(0.801519165938)*x[0] arg[0,4,0,1]=(-0.509816703951)*x[1] arg[0,4,1,0]=(-0.255412646934)*x[0] arg[0,4,1,1]=(0.437540101896)*x[1] arg[0,4,2,0]=(-0.815574969538)*x[0] arg[0,4,2,1]=(-0.94691547137)*x[1] arg[1,0,0,0]=(-0.732550722593)*x[0] arg[1,0,0,1]=(0.515752381704)*x[1] arg[1,0,1,0]=(-0.343590210899)*x[0] arg[1,0,1,1]=(-0.0601907964915)*x[1] arg[1,0,2,0]=(0.0199916154421)*x[0] arg[1,0,2,1]=(-0.136927227821)*x[1] arg[1,1,0,0]=(0.397994441702)*x[0] arg[1,1,0,1]=(0.953873148948)*x[1] arg[1,1,1,0]=(0.419416235967)*x[0] arg[1,1,1,1]=(0.700998577193)*x[1] arg[1,1,2,0]=(-0.497358799271)*x[0] arg[1,1,2,1]=(0.0851768858379)*x[1] arg[1,2,0,0]=(0.0936678875202)*x[0] arg[1,2,0,1]=(0.869883786896)*x[1] arg[1,2,1,0]=(0.582700123485)*x[0] arg[1,2,1,1]=(-0.433381106794)*x[1] arg[1,2,2,0]=(-0.527031777974)*x[0] arg[1,2,2,1]=(0.105105137652)*x[1] arg[1,3,0,0]=(-0.716750829134)*x[0] arg[1,3,0,1]=(0.774519209008)*x[1] arg[1,3,1,0]=(-0.568743372716)*x[0] arg[1,3,1,1]=(0.794732483944)*x[1] arg[1,3,2,0]=(0.246606002015)*x[0] arg[1,3,2,1]=(-0.988869494994)*x[1] arg[1,4,0,0]=(0.482379298083)*x[0] arg[1,4,0,1]=(-0.386268387903)*x[1] arg[1,4,1,0]=(0.137184889675)*x[0] arg[1,4,1,1]=(-0.140520035321)*x[1] arg[1,4,2,0]=(0.822755050415)*x[0] arg[1,4,2,1]=(-0.815562139522)*x[1] arg[2,0,0,0]=(-0.462891511962)*x[0] arg[2,0,0,1]=(-0.122643411631)*x[1] arg[2,0,1,0]=(-0.520861119962)*x[0] arg[2,0,1,1]=(-0.881189618018)*x[1] arg[2,0,2,0]=(-0.776157842774)*x[0] arg[2,0,2,1]=(-0.12354053207)*x[1] arg[2,1,0,0]=(0.395495230826)*x[0] arg[2,1,0,1]=(-0.388106659423)*x[1] arg[2,1,1,0]=(0.354250242834)*x[0] arg[2,1,1,1]=(-0.666514210192)*x[1] arg[2,1,2,0]=(0.951294655083)*x[0] arg[2,1,2,1]=(0.074024416386)*x[1] arg[2,2,0,0]=(0.335448485459)*x[0] arg[2,2,0,1]=(-0.40988282528)*x[1] arg[2,2,1,0]=(-0.805725968875)*x[0] arg[2,2,1,1]=(-0.949883082118)*x[1] arg[2,2,2,0]=(0.531549210683)*x[0] arg[2,2,2,1]=(-0.398401016682)*x[1] arg[2,3,0,0]=(-0.953963433205)*x[0] arg[2,3,0,1]=(0.643431126406)*x[1] arg[2,3,1,0]=(-0.167611998738)*x[0] arg[2,3,1,1]=(0.226130056552)*x[1] arg[2,3,2,0]=(0.0752687641131)*x[0] arg[2,3,2,1]=(-0.115742756362)*x[1] arg[2,4,0,0]=(0.579694491028)*x[0] arg[2,4,0,1]=(-0.112005738299)*x[1] arg[2,4,1,0]=(0.657291764224)*x[0] arg[2,4,1,1]=(0.62671154177)*x[1] arg[2,4,2,0]=(0.103695027944)*x[0] arg[2,4,2,1]=(0.462828491544)*x[1] arg[3,0,0,0]=(0.697692979998)*x[0] arg[3,0,0,1]=(-0.123481859619)*x[1] arg[3,0,1,0]=(-0.749745629459)*x[0] arg[3,0,1,1]=(-0.541969524069)*x[1] arg[3,0,2,0]=(0.819484470759)*x[0] arg[3,0,2,1]=(-0.860592326469)*x[1] arg[3,1,0,0]=(-0.716566084771)*x[0] arg[3,1,0,1]=(-0.949235434827)*x[1] arg[3,1,1,0]=(-0.826699498174)*x[0] arg[3,1,1,1]=(-0.138511521583)*x[1] arg[3,1,2,0]=(-0.951682890904)*x[0] arg[3,1,2,1]=(0.413293316925)*x[1] arg[3,2,0,0]=(0.909516836775)*x[0] arg[3,2,0,1]=(-0.919989721277)*x[1] arg[3,2,1,0]=(0.0994860369337)*x[0] arg[3,2,1,1]=(-0.933647246623)*x[1] arg[3,2,2,0]=(-0.759215183015)*x[0] arg[3,2,2,1]=(0.0975793309286)*x[1] arg[3,3,0,0]=(-0.130256739381)*x[0] arg[3,3,0,1]=(-0.582280862311)*x[1] arg[3,3,1,0]=(0.206970526192)*x[0] arg[3,3,1,1]=(-0.8678322258)*x[1] arg[3,3,2,0]=(0.133004501279)*x[0] arg[3,3,2,1]=(0.802921710935)*x[1] arg[3,4,0,0]=(-0.255737792764)*x[0] arg[3,4,0,1]=(-0.34168114937)*x[1] arg[3,4,1,0]=(-0.859309090399)*x[0] arg[3,4,1,1]=(0.245043986435)*x[1] arg[3,4,2,0]=(0.893062018695)*x[0] arg[3,4,2,1]=(0.709422742588)*x[1] ref=sqrt((13.7289280362)) else: arg=Data(0,(4, 5, 3, 3),w) arg[0,0,0,0]=(0.0312828390439)*x[0] arg[0,0,0,1]=(-0.524970416212)*x[1] arg[0,0,0,2]=(0.561865217554)*x[2] arg[0,0,1,0]=(0.692457187384)*x[0] arg[0,0,1,1]=(0.946967182157)*x[1] arg[0,0,1,2]=(-0.863842279464)*x[2] arg[0,0,2,0]=(0.993922921598)*x[0] arg[0,0,2,1]=(0.322812768679)*x[1] arg[0,0,2,2]=(0.901876132204)*x[2] arg[0,1,0,0]=(0.967569979365)*x[0] arg[0,1,0,1]=(0.840979131355)*x[1] arg[0,1,0,2]=(0.0494811460856)*x[2] arg[0,1,1,0]=(0.315178456102)*x[0] arg[0,1,1,1]=(0.449848313024)*x[1] arg[0,1,1,2]=(0.765887852886)*x[2] arg[0,1,2,0]=(0.975541574352)*x[0] arg[0,1,2,1]=(-0.797851290751)*x[1] arg[0,1,2,2]=(0.628918775319)*x[2] arg[0,2,0,0]=(0.685635794312)*x[0] arg[0,2,0,1]=(0.10341799962)*x[1] arg[0,2,0,2]=(-0.964822756043)*x[2] arg[0,2,1,0]=(-0.56160368212)*x[0] arg[0,2,1,1]=(0.676344298102)*x[1] arg[0,2,1,2]=(-0.713924121843)*x[2] arg[0,2,2,0]=(-0.276655136263)*x[0] arg[0,2,2,1]=(0.336046973788)*x[1] arg[0,2,2,2]=(-0.68789392396)*x[2] arg[0,3,0,0]=(0.0172861311571)*x[0] arg[0,3,0,1]=(-0.301075956456)*x[1] arg[0,3,0,2]=(0.779442985415)*x[2] arg[0,3,1,0]=(-0.517629576558)*x[0] arg[0,3,1,1]=(0.584779586639)*x[1] arg[0,3,1,2]=(-0.53266435436)*x[2] arg[0,3,2,0]=(0.841533567102)*x[0] arg[0,3,2,1]=(0.0458746415489)*x[1] arg[0,3,2,2]=(0.921237870758)*x[2] arg[0,4,0,0]=(0.0548343238805)*x[0] arg[0,4,0,1]=(0.687022707412)*x[1] arg[0,4,0,2]=(-0.319803609795)*x[2] arg[0,4,1,0]=(0.409763007811)*x[0] arg[0,4,1,1]=(0.165501957435)*x[1] arg[0,4,1,2]=(0.116001692781)*x[2] arg[0,4,2,0]=(-0.515571394238)*x[0] arg[0,4,2,1]=(0.209467945147)*x[1] arg[0,4,2,2]=(-0.344827191247)*x[2] arg[1,0,0,0]=(0.57193838014)*x[0] arg[1,0,0,1]=(-0.0880683799076)*x[1] arg[1,0,0,2]=(0.956899617441)*x[2] arg[1,0,1,0]=(-0.783689636357)*x[0] arg[1,0,1,1]=(-0.25177506885)*x[1] arg[1,0,1,2]=(-0.97074584634)*x[2] arg[1,0,2,0]=(0.432543519806)*x[0] arg[1,0,2,1]=(0.481003021954)*x[1] arg[1,0,2,2]=(-0.0630751518268)*x[2] arg[1,1,0,0]=(-0.65152446796)*x[0] arg[1,1,0,1]=(-0.0323685084425)*x[1] arg[1,1,0,2]=(-0.508674033909)*x[2] arg[1,1,1,0]=(-0.533367818916)*x[0] arg[1,1,1,1]=(0.310738340288)*x[1] arg[1,1,1,2]=(0.694612234326)*x[2] arg[1,1,2,0]=(-0.622052473032)*x[0] arg[1,1,2,1]=(0.0498443793671)*x[1] arg[1,1,2,2]=(0.61023707512)*x[2] arg[1,2,0,0]=(0.0730267406859)*x[0] arg[1,2,0,1]=(0.146909334607)*x[1] arg[1,2,0,2]=(-0.641860284448)*x[2] arg[1,2,1,0]=(0.917976589737)*x[0] arg[1,2,1,1]=(0.50219672122)*x[1] arg[1,2,1,2]=(0.634559579812)*x[2] arg[1,2,2,0]=(0.0578772734534)*x[0] arg[1,2,2,1]=(0.288730973517)*x[1] arg[1,2,2,2]=(-0.0525978796154)*x[2] arg[1,3,0,0]=(-0.926152433388)*x[0] arg[1,3,0,1]=(0.0616647680855)*x[1] arg[1,3,0,2]=(-0.875889217846)*x[2] arg[1,3,1,0]=(-0.638931542845)*x[0] arg[1,3,1,1]=(0.708848122964)*x[1] arg[1,3,1,2]=(0.119066979792)*x[2] arg[1,3,2,0]=(0.853716218591)*x[0] arg[1,3,2,1]=(-0.92754322201)*x[1] arg[1,3,2,2]=(-0.671530626265)*x[2] arg[1,4,0,0]=(0.337424536231)*x[0] arg[1,4,0,1]=(0.335704451719)*x[1] arg[1,4,0,2]=(-0.484565969466)*x[2] arg[1,4,1,0]=(-0.855476192012)*x[0] arg[1,4,1,1]=(0.405674615553)*x[1] arg[1,4,1,2]=(0.728310771323)*x[2] arg[1,4,2,0]=(0.363651308265)*x[0] arg[1,4,2,1]=(0.174460594531)*x[1] arg[1,4,2,2]=(-0.0418244838617)*x[2] arg[2,0,0,0]=(-0.531341992511)*x[0] arg[2,0,0,1]=(0.584996796272)*x[1] arg[2,0,0,2]=(-0.752430968716)*x[2] arg[2,0,1,0]=(-0.341989849747)*x[0] arg[2,0,1,1]=(0.153572646953)*x[1] arg[2,0,1,2]=(-0.197130051737)*x[2] arg[2,0,2,0]=(-0.338082424082)*x[0] arg[2,0,2,1]=(0.000173657394772)*x[1] arg[2,0,2,2]=(0.365272907692)*x[2] arg[2,1,0,0]=(0.904304126564)*x[0] arg[2,1,0,1]=(0.161252368484)*x[1] arg[2,1,0,2]=(0.246854092422)*x[2] arg[2,1,1,0]=(-0.299880647529)*x[0] arg[2,1,1,1]=(-0.566917528608)*x[1] arg[2,1,1,2]=(0.243183337285)*x[2] arg[2,1,2,0]=(0.437406011474)*x[0] arg[2,1,2,1]=(0.727447394053)*x[1] arg[2,1,2,2]=(0.380752950664)*x[2] arg[2,2,0,0]=(0.172292846911)*x[0] arg[2,2,0,1]=(0.334201791643)*x[1] arg[2,2,0,2]=(0.739989926962)*x[2] arg[2,2,1,0]=(-0.0669843715042)*x[0] arg[2,2,1,1]=(-0.540497281635)*x[1] arg[2,2,1,2]=(-0.744217027088)*x[2] arg[2,2,2,0]=(-0.287295952259)*x[0] arg[2,2,2,1]=(-0.512411849183)*x[1] arg[2,2,2,2]=(0.953107417666)*x[2] arg[2,3,0,0]=(0.998168116695)*x[0] arg[2,3,0,1]=(0.960065646359)*x[1] arg[2,3,0,2]=(0.110048258832)*x[2] arg[2,3,1,0]=(-0.477271134724)*x[0] arg[2,3,1,1]=(0.707182612251)*x[1] arg[2,3,1,2]=(0.285500891755)*x[2] arg[2,3,2,0]=(-0.863497506661)*x[0] arg[2,3,2,1]=(-0.293917669879)*x[1] arg[2,3,2,2]=(-0.403384244295)*x[2] arg[2,4,0,0]=(0.848455277702)*x[0] arg[2,4,0,1]=(-0.530101455578)*x[1] arg[2,4,0,2]=(0.33887313048)*x[2] arg[2,4,1,0]=(-0.195313538124)*x[0] arg[2,4,1,1]=(-0.62754572008)*x[1] arg[2,4,1,2]=(-0.385132960582)*x[2] arg[2,4,2,0]=(0.240048012886)*x[0] arg[2,4,2,1]=(0.900766252969)*x[1] arg[2,4,2,2]=(0.669620533505)*x[2] arg[3,0,0,0]=(0.375766827301)*x[0] arg[3,0,0,1]=(0.705484960308)*x[1] arg[3,0,0,2]=(0.440931516034)*x[2] arg[3,0,1,0]=(-0.44724403177)*x[0] arg[3,0,1,1]=(-0.31558249626)*x[1] arg[3,0,1,2]=(-0.00419436365172)*x[2] arg[3,0,2,0]=(0.750599752032)*x[0] arg[3,0,2,1]=(0.367649951795)*x[1] arg[3,0,2,2]=(0.0488013073654)*x[2] arg[3,1,0,0]=(-0.992890068274)*x[0] arg[3,1,0,1]=(0.671447745511)*x[1] arg[3,1,0,2]=(0.85613331404)*x[2] arg[3,1,1,0]=(-0.46064764242)*x[0] arg[3,1,1,1]=(0.48138877715)*x[1] arg[3,1,1,2]=(0.396741761803)*x[2] arg[3,1,2,0]=(-0.879391967543)*x[0] arg[3,1,2,1]=(-0.44039462138)*x[1] arg[3,1,2,2]=(0.0330511573872)*x[2] arg[3,2,0,0]=(-0.367413701648)*x[0] arg[3,2,0,1]=(0.0359818324891)*x[1] arg[3,2,0,2]=(-0.307532667032)*x[2] arg[3,2,1,0]=(0.334663597166)*x[0] arg[3,2,1,1]=(0.541941978066)*x[1] arg[3,2,1,2]=(-0.609184079318)*x[2] arg[3,2,2,0]=(0.359349239826)*x[0] arg[3,2,2,1]=(0.0419272305685)*x[1] arg[3,2,2,2]=(0.557189794296)*x[2] arg[3,3,0,0]=(-0.85864165554)*x[0] arg[3,3,0,1]=(-0.185411404213)*x[1] arg[3,3,0,2]=(0.254294865253)*x[2] arg[3,3,1,0]=(0.870362177541)*x[0] arg[3,3,1,1]=(-0.439688612864)*x[1] arg[3,3,1,2]=(0.26006729357)*x[2] arg[3,3,2,0]=(-0.0724034754175)*x[0] arg[3,3,2,1]=(0.444871564246)*x[1] arg[3,3,2,2]=(0.485634530531)*x[2] arg[3,4,0,0]=(-0.744756961758)*x[0] arg[3,4,0,1]=(0.429761406102)*x[1] arg[3,4,0,2]=(-0.584963735834)*x[2] arg[3,4,1,0]=(0.684578379159)*x[0] arg[3,4,1,1]=(0.949460132601)*x[1] arg[3,4,1,2]=(-0.592179909559)*x[2] arg[3,4,2,0]=(0.707154437797)*x[0] arg[3,4,2,1]=(0.619200407063)*x[1] arg[3,4,2,2]=(-0.338547165)*x[2] ref=sqrt((19.2170638478)) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onReducedFunction_fromData_rank0(self): """ tests L2-norm of Data on the ReducedFunction assumptions: self.domain supports integration on ReducedFunction """ dim=self.domain.getDim() w=ReducedFunction(self.domain) x=w.getX() if dim==2: arg=Data(0,(),w) arg=1.*sqrt(x[0]) ref=sqrt(0.5) else: arg=Data(0,(),w) arg=1.*sqrt(x[0]) ref=sqrt(0.5) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onReducedFunction_fromData_rank1(self): """ tests L2-norm of Data on the ReducedFunction assumptions: self.domain supports integration on ReducedFunction """ dim=self.domain.getDim() w=ReducedFunction(self.domain) x=w.getX() if dim==2: arg=Data(0,(2,),w) arg[0]=1.*sqrt(x[0]) arg[1]=2.*sqrt(x[1]) ref=sqrt(2.5) else: arg=Data(0,(3,),w) arg[0]=1.*sqrt(x[0]) arg[1]=2.*sqrt(x[1]) arg[2]=3.*sqrt(x[2]) ref=sqrt(7.) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onReducedFunction_fromData_rank2(self): """ tests L2-norm of Data on the ReducedFunction assumptions: self.domain supports integration on ReducedFunction """ dim=self.domain.getDim() w=ReducedFunction(self.domain) x=w.getX() if dim==2: arg=Data(0,(4, 2),w) arg[0,0]=11.*sqrt(x[0]) arg[0,1]=1.*sqrt(x[1]) arg[1,0]=10.*sqrt(x[0]) arg[1,1]=11.*sqrt(x[1]) arg[2,0]=20.*sqrt(x[0]) arg[2,1]=21.*sqrt(x[1]) arg[3,0]=30.*sqrt(x[0]) arg[3,1]=31.*sqrt(x[1]) ref=sqrt(1522.5) else: arg=Data(0,(4, 3),w) arg[0,0]=11.*sqrt(x[0]) arg[0,1]=1.*sqrt(x[1]) arg[0,2]=2.*sqrt(x[2]) arg[1,0]=10.*sqrt(x[0]) arg[1,1]=11.*sqrt(x[1]) arg[1,2]=12.*sqrt(x[2]) arg[2,0]=20.*sqrt(x[0]) arg[2,1]=21.*sqrt(x[1]) arg[2,2]=22.*sqrt(x[2]) arg[3,0]=30.*sqrt(x[0]) arg[3,1]=31.*sqrt(x[1]) arg[3,2]=32.*sqrt(x[2]) ref=sqrt(2350.5) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onReducedFunction_fromData_rank3(self): """ tests L2-norm of Data on the ReducedFunction assumptions: self.domain supports integration on ReducedFunction """ dim=self.domain.getDim() w=ReducedFunction(self.domain) x=w.getX() if dim==2: arg=Data(0,(6, 2, 2),w) arg[0,0,0]=(0.449174971953)*sqrt(x[0]) arg[0,0,1]=(-0.0109398763289)*sqrt(x[1]) arg[0,1,0]=(-0.202497187709)*sqrt(x[0]) arg[0,1,1]=(-0.12970879334)*sqrt(x[1]) arg[1,0,0]=(-0.138092481719)*sqrt(x[0]) arg[1,0,1]=(-0.528752200917)*sqrt(x[1]) arg[1,1,0]=(-0.605919441662)*sqrt(x[0]) arg[1,1,1]=(0.215615032334)*sqrt(x[1]) arg[2,0,0]=(-0.998734541972)*sqrt(x[0]) arg[2,0,1]=(0.725811901251)*sqrt(x[1]) arg[2,1,0]=(-0.966536503228)*sqrt(x[0]) arg[2,1,1]=(-0.528692217355)*sqrt(x[1]) arg[3,0,0]=(0.757633851466)*sqrt(x[0]) arg[3,0,1]=(-0.524660157377)*sqrt(x[1]) arg[3,1,0]=(0.983733431677)*sqrt(x[0]) arg[3,1,1]=(0.061279109546)*sqrt(x[1]) arg[4,0,0]=(0.85914215305)*sqrt(x[0]) arg[4,0,1]=(0.941714045112)*sqrt(x[1]) arg[4,1,0]=(0.172235529555)*sqrt(x[0]) arg[4,1,1]=(-0.108381454437)*sqrt(x[1]) arg[5,0,0]=(-0.736373697727)*sqrt(x[0]) arg[5,0,1]=(-0.599337929679)*sqrt(x[1]) arg[5,1,0]=(0.661072686392)*sqrt(x[0]) arg[5,1,1]=(-0.55107327409)*sqrt(x[1]) ref=sqrt(4.4196214907099591) else: arg=Data(0,(6, 2, 3),w) arg[0,0,0]=(0.69227064904)*sqrt(x[0]) arg[0,0,1]=(-0.968336177418)*sqrt(x[1]) arg[0,0,2]=(-0.634883146685)*sqrt(x[2]) arg[0,1,0]=(-0.12640661422)*sqrt(x[0]) arg[0,1,1]=(-0.637386589888)*sqrt(x[1]) arg[0,1,2]=(0.26060859356)*sqrt(x[2]) arg[1,0,0]=(-0.986864633297)*sqrt(x[0]) arg[1,0,1]=(-0.441589142379)*sqrt(x[1]) arg[1,0,2]=(-0.587865539582)*sqrt(x[2]) arg[1,1,0]=(0.596052465031)*sqrt(x[0]) arg[1,1,1]=(0.312732336652)*sqrt(x[1]) arg[1,1,2]=(-0.514423945092)*sqrt(x[2]) arg[2,0,0]=(-0.892391254794)*sqrt(x[0]) arg[2,0,1]=(0.377920185756)*sqrt(x[1]) arg[2,0,2]=(-0.120174597181)*sqrt(x[2]) arg[2,1,0]=(-0.469951576468)*sqrt(x[0]) arg[2,1,1]=(-0.788362249555)*sqrt(x[1]) arg[2,1,2]=(0.745625354986)*sqrt(x[2]) arg[3,0,0]=(0.542802498569)*sqrt(x[0]) arg[3,0,1]=(-0.814541028706)*sqrt(x[1]) arg[3,0,2]=(0.298410992196)*sqrt(x[2]) arg[3,1,0]=(0.981190341206)*sqrt(x[0]) arg[3,1,1]=(0.666421298608)*sqrt(x[1]) arg[3,1,2]=(-0.369751722626)*sqrt(x[2]) arg[4,0,0]=(-0.75379530597)*sqrt(x[0]) arg[4,0,1]=(0.283357267139)*sqrt(x[1]) arg[4,0,2]=(0.247787072861)*sqrt(x[2]) arg[4,1,0]=(0.301766692533)*sqrt(x[0]) arg[4,1,1]=(0.828183439224)*sqrt(x[1]) arg[4,1,2]=(-0.580824060547)*sqrt(x[2]) arg[5,0,0]=(0.637345610764)*sqrt(x[0]) arg[5,0,1]=(-0.234409115997)*sqrt(x[1]) arg[5,0,2]=(-0.192639300316)*sqrt(x[2]) arg[5,1,0]=(-0.62609237162)*sqrt(x[0]) arg[5,1,1]=(0.463404958552)*sqrt(x[1]) arg[5,1,2]=(-0.547814448738)*sqrt(x[2]) ref=sqrt(6.3571697792950923) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onReducedFunction_fromData_rank4(self): """ tests L2-norm of Data on the ReducedFunction assumptions: self.domain supports integration on ReducedFunction """ dim=self.domain.getDim() w=ReducedFunction(self.domain) x=w.getX() if dim==2: arg=Data(0,(4, 5, 3, 2),w) arg[0,0,0,0]=(-0.232618585183)*sqrt(x[0]) arg[0,0,0,1]=(0.39796117869)*sqrt(x[1]) arg[0,0,1,0]=(-0.997336958262)*sqrt(x[0]) arg[0,0,1,1]=(-0.351780915076)*sqrt(x[1]) arg[0,0,2,0]=(-0.876764070136)*sqrt(x[0]) arg[0,0,2,1]=(0.808730805817)*sqrt(x[1]) arg[0,1,0,0]=(-0.197154744966)*sqrt(x[0]) arg[0,1,0,1]=(0.416246096086)*sqrt(x[1]) arg[0,1,1,0]=(0.708038457121)*sqrt(x[0]) arg[0,1,1,1]=(-0.00954021503188)*sqrt(x[1]) arg[0,1,2,0]=(-0.62630809425)*sqrt(x[0]) arg[0,1,2,1]=(0.430228727912)*sqrt(x[1]) arg[0,2,0,0]=(0.0306704747648)*sqrt(x[0]) arg[0,2,0,1]=(-0.913877199453)*sqrt(x[1]) arg[0,2,1,0]=(-0.697612800829)*sqrt(x[0]) arg[0,2,1,1]=(-0.17996376822)*sqrt(x[1]) arg[0,2,2,0]=(-0.304509578871)*sqrt(x[0]) arg[0,2,2,1]=(-0.610556755811)*sqrt(x[1]) arg[0,3,0,0]=(-0.452355972234)*sqrt(x[0]) arg[0,3,0,1]=(-0.368921242518)*sqrt(x[1]) arg[0,3,1,0]=(-0.478275554932)*sqrt(x[0]) arg[0,3,1,1]=(0.257178549127)*sqrt(x[1]) arg[0,3,2,0]=(0.530736487177)*sqrt(x[0]) arg[0,3,2,1]=(-0.567126272463)*sqrt(x[1]) arg[0,4,0,0]=(0.801519165938)*sqrt(x[0]) arg[0,4,0,1]=(-0.509816703951)*sqrt(x[1]) arg[0,4,1,0]=(-0.255412646934)*sqrt(x[0]) arg[0,4,1,1]=(0.437540101896)*sqrt(x[1]) arg[0,4,2,0]=(-0.815574969538)*sqrt(x[0]) arg[0,4,2,1]=(-0.94691547137)*sqrt(x[1]) arg[1,0,0,0]=(-0.732550722593)*sqrt(x[0]) arg[1,0,0,1]=(0.515752381704)*sqrt(x[1]) arg[1,0,1,0]=(-0.343590210899)*sqrt(x[0]) arg[1,0,1,1]=(-0.0601907964915)*sqrt(x[1]) arg[1,0,2,0]=(0.0199916154421)*sqrt(x[0]) arg[1,0,2,1]=(-0.136927227821)*sqrt(x[1]) arg[1,1,0,0]=(0.397994441702)*sqrt(x[0]) arg[1,1,0,1]=(0.953873148948)*sqrt(x[1]) arg[1,1,1,0]=(0.419416235967)*sqrt(x[0]) arg[1,1,1,1]=(0.700998577193)*sqrt(x[1]) arg[1,1,2,0]=(-0.497358799271)*sqrt(x[0]) arg[1,1,2,1]=(0.0851768858379)*sqrt(x[1]) arg[1,2,0,0]=(0.0936678875202)*sqrt(x[0]) arg[1,2,0,1]=(0.869883786896)*sqrt(x[1]) arg[1,2,1,0]=(0.582700123485)*sqrt(x[0]) arg[1,2,1,1]=(-0.433381106794)*sqrt(x[1]) arg[1,2,2,0]=(-0.527031777974)*sqrt(x[0]) arg[1,2,2,1]=(0.105105137652)*sqrt(x[1]) arg[1,3,0,0]=(-0.716750829134)*sqrt(x[0]) arg[1,3,0,1]=(0.774519209008)*sqrt(x[1]) arg[1,3,1,0]=(-0.568743372716)*sqrt(x[0]) arg[1,3,1,1]=(0.794732483944)*sqrt(x[1]) arg[1,3,2,0]=(0.246606002015)*sqrt(x[0]) arg[1,3,2,1]=(-0.988869494994)*sqrt(x[1]) arg[1,4,0,0]=(0.482379298083)*sqrt(x[0]) arg[1,4,0,1]=(-0.386268387903)*sqrt(x[1]) arg[1,4,1,0]=(0.137184889675)*sqrt(x[0]) arg[1,4,1,1]=(-0.140520035321)*sqrt(x[1]) arg[1,4,2,0]=(0.822755050415)*sqrt(x[0]) arg[1,4,2,1]=(-0.815562139522)*sqrt(x[1]) arg[2,0,0,0]=(-0.462891511962)*sqrt(x[0]) arg[2,0,0,1]=(-0.122643411631)*sqrt(x[1]) arg[2,0,1,0]=(-0.520861119962)*sqrt(x[0]) arg[2,0,1,1]=(-0.881189618018)*sqrt(x[1]) arg[2,0,2,0]=(-0.776157842774)*sqrt(x[0]) arg[2,0,2,1]=(-0.12354053207)*sqrt(x[1]) arg[2,1,0,0]=(0.395495230826)*sqrt(x[0]) arg[2,1,0,1]=(-0.388106659423)*sqrt(x[1]) arg[2,1,1,0]=(0.354250242834)*sqrt(x[0]) arg[2,1,1,1]=(-0.666514210192)*sqrt(x[1]) arg[2,1,2,0]=(0.951294655083)*sqrt(x[0]) arg[2,1,2,1]=(0.074024416386)*sqrt(x[1]) arg[2,2,0,0]=(0.335448485459)*sqrt(x[0]) arg[2,2,0,1]=(-0.40988282528)*sqrt(x[1]) arg[2,2,1,0]=(-0.805725968875)*sqrt(x[0]) arg[2,2,1,1]=(-0.949883082118)*sqrt(x[1]) arg[2,2,2,0]=(0.531549210683)*sqrt(x[0]) arg[2,2,2,1]=(-0.398401016682)*sqrt(x[1]) arg[2,3,0,0]=(-0.953963433205)*sqrt(x[0]) arg[2,3,0,1]=(0.643431126406)*sqrt(x[1]) arg[2,3,1,0]=(-0.167611998738)*sqrt(x[0]) arg[2,3,1,1]=(0.226130056552)*sqrt(x[1]) arg[2,3,2,0]=(0.0752687641131)*sqrt(x[0]) arg[2,3,2,1]=(-0.115742756362)*sqrt(x[1]) arg[2,4,0,0]=(0.579694491028)*sqrt(x[0]) arg[2,4,0,1]=(-0.112005738299)*sqrt(x[1]) arg[2,4,1,0]=(0.657291764224)*sqrt(x[0]) arg[2,4,1,1]=(0.62671154177)*sqrt(x[1]) arg[2,4,2,0]=(0.103695027944)*sqrt(x[0]) arg[2,4,2,1]=(0.462828491544)*sqrt(x[1]) arg[3,0,0,0]=(0.697692979998)*sqrt(x[0]) arg[3,0,0,1]=(-0.123481859619)*sqrt(x[1]) arg[3,0,1,0]=(-0.749745629459)*sqrt(x[0]) arg[3,0,1,1]=(-0.541969524069)*sqrt(x[1]) arg[3,0,2,0]=(0.819484470759)*sqrt(x[0]) arg[3,0,2,1]=(-0.860592326469)*sqrt(x[1]) arg[3,1,0,0]=(-0.716566084771)*sqrt(x[0]) arg[3,1,0,1]=(-0.949235434827)*sqrt(x[1]) arg[3,1,1,0]=(-0.826699498174)*sqrt(x[0]) arg[3,1,1,1]=(-0.138511521583)*sqrt(x[1]) arg[3,1,2,0]=(-0.951682890904)*sqrt(x[0]) arg[3,1,2,1]=(0.413293316925)*sqrt(x[1]) arg[3,2,0,0]=(0.909516836775)*sqrt(x[0]) arg[3,2,0,1]=(-0.919989721277)*sqrt(x[1]) arg[3,2,1,0]=(0.0994860369337)*sqrt(x[0]) arg[3,2,1,1]=(-0.933647246623)*sqrt(x[1]) arg[3,2,2,0]=(-0.759215183015)*sqrt(x[0]) arg[3,2,2,1]=(0.0975793309286)*sqrt(x[1]) arg[3,3,0,0]=(-0.130256739381)*sqrt(x[0]) arg[3,3,0,1]=(-0.582280862311)*sqrt(x[1]) arg[3,3,1,0]=(0.206970526192)*sqrt(x[0]) arg[3,3,1,1]=(-0.8678322258)*sqrt(x[1]) arg[3,3,2,0]=(0.133004501279)*sqrt(x[0]) arg[3,3,2,1]=(0.802921710935)*sqrt(x[1]) arg[3,4,0,0]=(-0.255737792764)*sqrt(x[0]) arg[3,4,0,1]=(-0.34168114937)*sqrt(x[1]) arg[3,4,1,0]=(-0.859309090399)*sqrt(x[0]) arg[3,4,1,1]=(0.245043986435)*sqrt(x[1]) arg[3,4,2,0]=(0.893062018695)*sqrt(x[0]) arg[3,4,2,1]=(0.709422742588)*sqrt(x[1]) ref=sqrt(20.5933920543) else: arg=Data(0,(4, 5, 3, 3),w) arg[0,0,0,0]=(0.0312828390439)*sqrt(x[0]) arg[0,0,0,1]=(-0.524970416212)*sqrt(x[1]) arg[0,0,0,2]=(0.561865217554)*sqrt(x[2]) arg[0,0,1,0]=(0.692457187384)*sqrt(x[0]) arg[0,0,1,1]=(0.946967182157)*sqrt(x[1]) arg[0,0,1,2]=(-0.863842279464)*sqrt(x[2]) arg[0,0,2,0]=(0.993922921598)*sqrt(x[0]) arg[0,0,2,1]=(0.322812768679)*sqrt(x[1]) arg[0,0,2,2]=(0.901876132204)*sqrt(x[2]) arg[0,1,0,0]=(0.967569979365)*sqrt(x[0]) arg[0,1,0,1]=(0.840979131355)*sqrt(x[1]) arg[0,1,0,2]=(0.0494811460856)*sqrt(x[2]) arg[0,1,1,0]=(0.315178456102)*sqrt(x[0]) arg[0,1,1,1]=(0.449848313024)*sqrt(x[1]) arg[0,1,1,2]=(0.765887852886)*sqrt(x[2]) arg[0,1,2,0]=(0.975541574352)*sqrt(x[0]) arg[0,1,2,1]=(-0.797851290751)*sqrt(x[1]) arg[0,1,2,2]=(0.628918775319)*sqrt(x[2]) arg[0,2,0,0]=(0.685635794312)*sqrt(x[0]) arg[0,2,0,1]=(0.10341799962)*sqrt(x[1]) arg[0,2,0,2]=(-0.964822756043)*sqrt(x[2]) arg[0,2,1,0]=(-0.56160368212)*sqrt(x[0]) arg[0,2,1,1]=(0.676344298102)*sqrt(x[1]) arg[0,2,1,2]=(-0.713924121843)*sqrt(x[2]) arg[0,2,2,0]=(-0.276655136263)*sqrt(x[0]) arg[0,2,2,1]=(0.336046973788)*sqrt(x[1]) arg[0,2,2,2]=(-0.68789392396)*sqrt(x[2]) arg[0,3,0,0]=(0.0172861311571)*sqrt(x[0]) arg[0,3,0,1]=(-0.301075956456)*sqrt(x[1]) arg[0,3,0,2]=(0.779442985415)*sqrt(x[2]) arg[0,3,1,0]=(-0.517629576558)*sqrt(x[0]) arg[0,3,1,1]=(0.584779586639)*sqrt(x[1]) arg[0,3,1,2]=(-0.53266435436)*sqrt(x[2]) arg[0,3,2,0]=(0.841533567102)*sqrt(x[0]) arg[0,3,2,1]=(0.0458746415489)*sqrt(x[1]) arg[0,3,2,2]=(0.921237870758)*sqrt(x[2]) arg[0,4,0,0]=(0.0548343238805)*sqrt(x[0]) arg[0,4,0,1]=(0.687022707412)*sqrt(x[1]) arg[0,4,0,2]=(-0.319803609795)*sqrt(x[2]) arg[0,4,1,0]=(0.409763007811)*sqrt(x[0]) arg[0,4,1,1]=(0.165501957435)*sqrt(x[1]) arg[0,4,1,2]=(0.116001692781)*sqrt(x[2]) arg[0,4,2,0]=(-0.515571394238)*sqrt(x[0]) arg[0,4,2,1]=(0.209467945147)*sqrt(x[1]) arg[0,4,2,2]=(-0.344827191247)*sqrt(x[2]) arg[1,0,0,0]=(0.57193838014)*sqrt(x[0]) arg[1,0,0,1]=(-0.0880683799076)*sqrt(x[1]) arg[1,0,0,2]=(0.956899617441)*sqrt(x[2]) arg[1,0,1,0]=(-0.783689636357)*sqrt(x[0]) arg[1,0,1,1]=(-0.25177506885)*sqrt(x[1]) arg[1,0,1,2]=(-0.97074584634)*sqrt(x[2]) arg[1,0,2,0]=(0.432543519806)*sqrt(x[0]) arg[1,0,2,1]=(0.481003021954)*sqrt(x[1]) arg[1,0,2,2]=(-0.0630751518268)*sqrt(x[2]) arg[1,1,0,0]=(-0.65152446796)*sqrt(x[0]) arg[1,1,0,1]=(-0.0323685084425)*sqrt(x[1]) arg[1,1,0,2]=(-0.508674033909)*sqrt(x[2]) arg[1,1,1,0]=(-0.533367818916)*sqrt(x[0]) arg[1,1,1,1]=(0.310738340288)*sqrt(x[1]) arg[1,1,1,2]=(0.694612234326)*sqrt(x[2]) arg[1,1,2,0]=(-0.622052473032)*sqrt(x[0]) arg[1,1,2,1]=(0.0498443793671)*sqrt(x[1]) arg[1,1,2,2]=(0.61023707512)*sqrt(x[2]) arg[1,2,0,0]=(0.0730267406859)*sqrt(x[0]) arg[1,2,0,1]=(0.146909334607)*sqrt(x[1]) arg[1,2,0,2]=(-0.641860284448)*sqrt(x[2]) arg[1,2,1,0]=(0.917976589737)*sqrt(x[0]) arg[1,2,1,1]=(0.50219672122)*sqrt(x[1]) arg[1,2,1,2]=(0.634559579812)*sqrt(x[2]) arg[1,2,2,0]=(0.0578772734534)*sqrt(x[0]) arg[1,2,2,1]=(0.288730973517)*sqrt(x[1]) arg[1,2,2,2]=(-0.0525978796154)*sqrt(x[2]) arg[1,3,0,0]=(-0.926152433388)*sqrt(x[0]) arg[1,3,0,1]=(0.0616647680855)*sqrt(x[1]) arg[1,3,0,2]=(-0.875889217846)*sqrt(x[2]) arg[1,3,1,0]=(-0.638931542845)*sqrt(x[0]) arg[1,3,1,1]=(0.708848122964)*sqrt(x[1]) arg[1,3,1,2]=(0.119066979792)*sqrt(x[2]) arg[1,3,2,0]=(0.853716218591)*sqrt(x[0]) arg[1,3,2,1]=(-0.92754322201)*sqrt(x[1]) arg[1,3,2,2]=(-0.671530626265)*sqrt(x[2]) arg[1,4,0,0]=(0.337424536231)*sqrt(x[0]) arg[1,4,0,1]=(0.335704451719)*sqrt(x[1]) arg[1,4,0,2]=(-0.484565969466)*sqrt(x[2]) arg[1,4,1,0]=(-0.855476192012)*sqrt(x[0]) arg[1,4,1,1]=(0.405674615553)*sqrt(x[1]) arg[1,4,1,2]=(0.728310771323)*sqrt(x[2]) arg[1,4,2,0]=(0.363651308265)*sqrt(x[0]) arg[1,4,2,1]=(0.174460594531)*sqrt(x[1]) arg[1,4,2,2]=(-0.0418244838617)*sqrt(x[2]) arg[2,0,0,0]=(-0.531341992511)*sqrt(x[0]) arg[2,0,0,1]=(0.584996796272)*sqrt(x[1]) arg[2,0,0,2]=(-0.752430968716)*sqrt(x[2]) arg[2,0,1,0]=(-0.341989849747)*sqrt(x[0]) arg[2,0,1,1]=(0.153572646953)*sqrt(x[1]) arg[2,0,1,2]=(-0.197130051737)*sqrt(x[2]) arg[2,0,2,0]=(-0.338082424082)*sqrt(x[0]) arg[2,0,2,1]=(0.000173657394772)*sqrt(x[1]) arg[2,0,2,2]=(0.365272907692)*sqrt(x[2]) arg[2,1,0,0]=(0.904304126564)*sqrt(x[0]) arg[2,1,0,1]=(0.161252368484)*sqrt(x[1]) arg[2,1,0,2]=(0.246854092422)*sqrt(x[2]) arg[2,1,1,0]=(-0.299880647529)*sqrt(x[0]) arg[2,1,1,1]=(-0.566917528608)*sqrt(x[1]) arg[2,1,1,2]=(0.243183337285)*sqrt(x[2]) arg[2,1,2,0]=(0.437406011474)*sqrt(x[0]) arg[2,1,2,1]=(0.727447394053)*sqrt(x[1]) arg[2,1,2,2]=(0.380752950664)*sqrt(x[2]) arg[2,2,0,0]=(0.172292846911)*sqrt(x[0]) arg[2,2,0,1]=(0.334201791643)*sqrt(x[1]) arg[2,2,0,2]=(0.739989926962)*sqrt(x[2]) arg[2,2,1,0]=(-0.0669843715042)*sqrt(x[0]) arg[2,2,1,1]=(-0.540497281635)*sqrt(x[1]) arg[2,2,1,2]=(-0.744217027088)*sqrt(x[2]) arg[2,2,2,0]=(-0.287295952259)*sqrt(x[0]) arg[2,2,2,1]=(-0.512411849183)*sqrt(x[1]) arg[2,2,2,2]=(0.953107417666)*sqrt(x[2]) arg[2,3,0,0]=(0.998168116695)*sqrt(x[0]) arg[2,3,0,1]=(0.960065646359)*sqrt(x[1]) arg[2,3,0,2]=(0.110048258832)*sqrt(x[2]) arg[2,3,1,0]=(-0.477271134724)*sqrt(x[0]) arg[2,3,1,1]=(0.707182612251)*sqrt(x[1]) arg[2,3,1,2]=(0.285500891755)*sqrt(x[2]) arg[2,3,2,0]=(-0.863497506661)*sqrt(x[0]) arg[2,3,2,1]=(-0.293917669879)*sqrt(x[1]) arg[2,3,2,2]=(-0.403384244295)*sqrt(x[2]) arg[2,4,0,0]=(0.848455277702)*sqrt(x[0]) arg[2,4,0,1]=(-0.530101455578)*sqrt(x[1]) arg[2,4,0,2]=(0.33887313048)*sqrt(x[2]) arg[2,4,1,0]=(-0.195313538124)*sqrt(x[0]) arg[2,4,1,1]=(-0.62754572008)*sqrt(x[1]) arg[2,4,1,2]=(-0.385132960582)*sqrt(x[2]) arg[2,4,2,0]=(0.240048012886)*sqrt(x[0]) arg[2,4,2,1]=(0.900766252969)*sqrt(x[1]) arg[2,4,2,2]=(0.669620533505)*sqrt(x[2]) arg[3,0,0,0]=(0.375766827301)*sqrt(x[0]) arg[3,0,0,1]=(0.705484960308)*sqrt(x[1]) arg[3,0,0,2]=(0.440931516034)*sqrt(x[2]) arg[3,0,1,0]=(-0.44724403177)*sqrt(x[0]) arg[3,0,1,1]=(-0.31558249626)*sqrt(x[1]) arg[3,0,1,2]=(-0.00419436365172)*sqrt(x[2]) arg[3,0,2,0]=(0.750599752032)*sqrt(x[0]) arg[3,0,2,1]=(0.367649951795)*sqrt(x[1]) arg[3,0,2,2]=(0.0488013073654)*sqrt(x[2]) arg[3,1,0,0]=(-0.992890068274)*sqrt(x[0]) arg[3,1,0,1]=(0.671447745511)*sqrt(x[1]) arg[3,1,0,2]=(0.85613331404)*sqrt(x[2]) arg[3,1,1,0]=(-0.46064764242)*sqrt(x[0]) arg[3,1,1,1]=(0.48138877715)*sqrt(x[1]) arg[3,1,1,2]=(0.396741761803)*sqrt(x[2]) arg[3,1,2,0]=(-0.879391967543)*sqrt(x[0]) arg[3,1,2,1]=(-0.44039462138)*sqrt(x[1]) arg[3,1,2,2]=(0.0330511573872)*sqrt(x[2]) arg[3,2,0,0]=(-0.367413701648)*sqrt(x[0]) arg[3,2,0,1]=(0.0359818324891)*sqrt(x[1]) arg[3,2,0,2]=(-0.307532667032)*sqrt(x[2]) arg[3,2,1,0]=(0.334663597166)*sqrt(x[0]) arg[3,2,1,1]=(0.541941978066)*sqrt(x[1]) arg[3,2,1,2]=(-0.609184079318)*sqrt(x[2]) arg[3,2,2,0]=(0.359349239826)*sqrt(x[0]) arg[3,2,2,1]=(0.0419272305685)*sqrt(x[1]) arg[3,2,2,2]=(0.557189794296)*sqrt(x[2]) arg[3,3,0,0]=(-0.85864165554)*sqrt(x[0]) arg[3,3,0,1]=(-0.185411404213)*sqrt(x[1]) arg[3,3,0,2]=(0.254294865253)*sqrt(x[2]) arg[3,3,1,0]=(0.870362177541)*sqrt(x[0]) arg[3,3,1,1]=(-0.439688612864)*sqrt(x[1]) arg[3,3,1,2]=(0.26006729357)*sqrt(x[2]) arg[3,3,2,0]=(-0.0724034754175)*sqrt(x[0]) arg[3,3,2,1]=(0.444871564246)*sqrt(x[1]) arg[3,3,2,2]=(0.485634530531)*sqrt(x[2]) arg[3,4,0,0]=(-0.744756961758)*sqrt(x[0]) arg[3,4,0,1]=(0.429761406102)*sqrt(x[1]) arg[3,4,0,2]=(-0.584963735834)*sqrt(x[2]) arg[3,4,1,0]=(0.684578379159)*sqrt(x[0]) arg[3,4,1,1]=(0.949460132601)*sqrt(x[1]) arg[3,4,1,2]=(-0.592179909559)*sqrt(x[2]) arg[3,4,2,0]=(0.707154437797)*sqrt(x[0]) arg[3,4,2,1]=(0.619200407063)*sqrt(x[1]) arg[3,4,2,2]=(-0.338547165)*sqrt(x[2]) ref=sqrt(28.8255957718) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onFunctionOnBoundary_fromData_rank0(self): """ tests L2-norm of Data on the FunctionOnBoundary assumptions: self.domain supports integration on FunctionOnBoundary """ dim=self.domain.getDim() w=FunctionOnBoundary(self.domain) x=w.getX() if dim==2: arg=Data(0,(),w) arg=(-0.245574919477)*x[0] ref=sqrt((0.0603070410759)*(2.*dim+1.)/3.) else: arg=Data(0,(),w) arg=(0.757324521515)*x[0] ref=sqrt((0.573540430888)*(2.*dim+1.)/3.) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onFunctionOnBoundary_fromData_rank1(self): """ tests L2-norm of Data on the FunctionOnBoundary assumptions: self.domain supports integration on FunctionOnBoundary """ dim=self.domain.getDim() w=FunctionOnBoundary(self.domain) x=w.getX() if dim==2: arg=Data(0,(2,),w) arg[0]=(0.723421565407)*x[0] arg[1]=(-0.460477393103)*x[1] ref=sqrt((0.735378190855)*(2.*dim+1.)/3.) else: arg=Data(0,(3,),w) arg[0]=(-0.88528497163)*x[0] arg[1]=(-0.65510214636)*x[1] arg[2]=(0.399538866363)*x[2] ref=sqrt((1.37251960889)*(2.*dim+1.)/3.) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onFunctionOnBoundary_fromData_rank2(self): """ tests L2-norm of Data on the FunctionOnBoundary assumptions: self.domain supports integration on FunctionOnBoundary """ dim=self.domain.getDim() w=FunctionOnBoundary(self.domain) x=w.getX() if dim==2: arg=Data(0,(4, 2),w) arg[0,0]=(0.955620993904)*x[0] arg[0,1]=(-0.0987865813703)*x[1] arg[1,0]=(0.0288267231531)*x[0] arg[1,1]=(0.655440599879)*x[1] arg[2,0]=(0.685627284533)*x[0] arg[2,1]=(-0.989832824892)*x[1] arg[3,0]=(0.292184093194)*x[0] arg[3,1]=(0.149553857773)*x[1] ref=sqrt((2.91099532781)*(2.*dim+1.)/3.) else: arg=Data(0,(4, 3),w) arg[0,0]=(-0.325908541533)*x[0] arg[0,1]=(-0.992480479749)*x[1] arg[0,2]=(0.660360271799)*x[2] arg[1,0]=(0.173485908581)*x[0] arg[1,1]=(-0.328755199781)*x[1] arg[1,2]=(-0.943354674948)*x[2] arg[2,0]=(0.680713222646)*x[0] arg[2,1]=(-0.765971835693)*x[1] arg[2,2]=(0.0413284847528)*x[2] arg[3,0]=(0.990074004708)*x[0] arg[3,1]=(0.941801786766)*x[1] arg[3,2]=(0.886926192201)*x[2] ref=sqrt((6.26107155228)*(2.*dim+1.)/3.) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onFunctionOnBoundary_fromData_rank3(self): """ tests L2-norm of Data on the FunctionOnBoundary assumptions: self.domain supports integration on FunctionOnBoundary """ dim=self.domain.getDim() w=FunctionOnBoundary(self.domain) x=w.getX() if dim==2: arg=Data(0,(6, 2, 2),w) arg[0,0,0]=(-0.0781611551598)*x[0] arg[0,0,1]=(0.291016249575)*x[1] arg[0,1,0]=(-0.107555233086)*x[0] arg[0,1,1]=(-0.559067108546)*x[1] arg[1,0,0]=(-0.0818406701266)*x[0] arg[1,0,1]=(-0.594866806483)*x[1] arg[1,1,0]=(-0.725814803863)*x[0] arg[1,1,1]=(0.59128101992)*x[1] arg[2,0,0]=(-0.15381555291)*x[0] arg[2,0,1]=(-0.679882948503)*x[1] arg[2,1,0]=(-0.58437193917)*x[0] arg[2,1,1]=(0.136304615849)*x[1] arg[3,0,0]=(0.0671365410096)*x[0] arg[3,0,1]=(-0.645687212187)*x[1] arg[3,1,0]=(-0.642492412392)*x[0] arg[3,1,1]=(-0.125760054735)*x[1] arg[4,0,0]=(0.731110824794)*x[0] arg[4,0,1]=(0.491668422979)*x[1] arg[4,1,0]=(-0.775841478292)*x[0] arg[4,1,1]=(0.728265567974)*x[1] arg[5,0,0]=(0.84511832373)*x[0] arg[5,0,1]=(-0.513796801068)*x[1] arg[5,1,0]=(0.113072243554)*x[0] arg[5,1,1]=(0.246630838744)*x[1] ref=sqrt((6.30829536252)*(2.*dim+1.)/3.) else: arg=Data(0,(6, 2, 3),w) arg[0,0,0]=(0.369748116859)*x[0] arg[0,0,1]=(-0.758056560031)*x[1] arg[0,0,2]=(-0.873984709951)*x[2] arg[0,1,0]=(0.311680165784)*x[0] arg[0,1,1]=(0.374400673651)*x[1] arg[0,1,2]=(0.712484217076)*x[2] arg[1,0,0]=(0.829379714484)*x[0] arg[1,0,1]=(-0.0551589596149)*x[1] arg[1,0,2]=(0.965672208426)*x[2] arg[1,1,0]=(-0.205044281547)*x[0] arg[1,1,1]=(0.238197452756)*x[1] arg[1,1,2]=(-0.33456139292)*x[2] arg[2,0,0]=(0.649928288926)*x[0] arg[2,0,1]=(-0.661384953389)*x[1] arg[2,0,2]=(-0.253241222975)*x[2] arg[2,1,0]=(-0.491716575992)*x[0] arg[2,1,1]=(-0.970872527468)*x[1] arg[2,1,2]=(0.222410198921)*x[2] arg[3,0,0]=(0.205752630262)*x[0] arg[3,0,1]=(0.864804362697)*x[1] arg[3,0,2]=(-0.417975564033)*x[2] arg[3,1,0]=(0.586425694033)*x[0] arg[3,1,1]=(0.952661122184)*x[1] arg[3,1,2]=(0.608680080453)*x[2] arg[4,0,0]=(0.625968903369)*x[0] arg[4,0,1]=(-0.573909405003)*x[1] arg[4,0,2]=(-0.762256394595)*x[2] arg[4,1,0]=(0.0710742394418)*x[0] arg[4,1,1]=(0.583378040574)*x[1] arg[4,1,2]=(0.719032893115)*x[2] arg[5,0,0]=(0.032173368884)*x[0] arg[5,0,1]=(-0.434042549492)*x[1] arg[5,0,2]=(0.363504765447)*x[2] arg[5,1,0]=(0.598817469198)*x[0] arg[5,1,1]=(-0.163967008775)*x[1] arg[5,1,2]=(0.546778730604)*x[2] ref=sqrt((11.9696343123)*(2.*dim+1.)/3.) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onFunctionOnBoundary_fromData_rank4(self): """ tests L2-norm of Data on the FunctionOnBoundary assumptions: self.domain supports integration on FunctionOnBoundary """ dim=self.domain.getDim() w=FunctionOnBoundary(self.domain) x=w.getX() if dim==2: arg=Data(0,(4, 5, 3, 2),w) arg[0,0,0,0]=(-0.273446520069)*x[0] arg[0,0,0,1]=(-0.913305910831)*x[1] arg[0,0,1,0]=(0.0745566747537)*x[0] arg[0,0,1,1]=(0.98803601919)*x[1] arg[0,0,2,0]=(-0.244120818875)*x[0] arg[0,0,2,1]=(0.247509644998)*x[1] arg[0,1,0,0]=(-0.548756417777)*x[0] arg[0,1,0,1]=(-0.354587911923)*x[1] arg[0,1,1,0]=(0.104268198867)*x[0] arg[0,1,1,1]=(-0.541700877072)*x[1] arg[0,1,2,0]=(-0.25900060689)*x[0] arg[0,1,2,1]=(-0.859660175231)*x[1] arg[0,2,0,0]=(0.195235560321)*x[0] arg[0,2,0,1]=(0.175518738589)*x[1] arg[0,2,1,0]=(-0.0638854232272)*x[0] arg[0,2,1,1]=(-0.586161016541)*x[1] arg[0,2,2,0]=(0.580258892247)*x[0] arg[0,2,2,1]=(-0.931927145435)*x[1] arg[0,3,0,0]=(-0.408209600298)*x[0] arg[0,3,0,1]=(-0.0344882667014)*x[1] arg[0,3,1,0]=(-0.131763534163)*x[0] arg[0,3,1,1]=(-0.787653739965)*x[1] arg[0,3,2,0]=(0.0910808104711)*x[0] arg[0,3,2,1]=(-0.280409023611)*x[1] arg[0,4,0,0]=(0.97745754012)*x[0] arg[0,4,0,1]=(-0.59829020936)*x[1] arg[0,4,1,0]=(0.890520260543)*x[0] arg[0,4,1,1]=(-0.600760090231)*x[1] arg[0,4,2,0]=(-0.897992297974)*x[0] arg[0,4,2,1]=(-0.841169898923)*x[1] arg[1,0,0,0]=(-0.249868816409)*x[0] arg[1,0,0,1]=(0.620375082228)*x[1] arg[1,0,1,0]=(-0.660480789306)*x[0] arg[1,0,1,1]=(-0.73638571806)*x[1] arg[1,0,2,0]=(0.339987316643)*x[0] arg[1,0,2,1]=(0.541112529894)*x[1] arg[1,1,0,0]=(-0.468808186705)*x[0] arg[1,1,0,1]=(-0.32919679792)*x[1] arg[1,1,1,0]=(0.917292803419)*x[0] arg[1,1,1,1]=(-0.834265058005)*x[1] arg[1,1,2,0]=(-0.247536849264)*x[0] arg[1,1,2,1]=(-0.197503469238)*x[1] arg[1,2,0,0]=(0.897591919909)*x[0] arg[1,2,0,1]=(-0.807446231234)*x[1] arg[1,2,1,0]=(-0.369878499382)*x[0] arg[1,2,1,1]=(0.985678692179)*x[1] arg[1,2,2,0]=(-0.709976427525)*x[0] arg[1,2,2,1]=(-0.368744647016)*x[1] arg[1,3,0,0]=(0.299630726462)*x[0] arg[1,3,0,1]=(-0.445295757899)*x[1] arg[1,3,1,0]=(-0.922386577254)*x[0] arg[1,3,1,1]=(0.234794853697)*x[1] arg[1,3,2,0]=(0.953377720197)*x[0] arg[1,3,2,1]=(0.409778183998)*x[1] arg[1,4,0,0]=(0.271967945488)*x[0] arg[1,4,0,1]=(-0.578629001202)*x[1] arg[1,4,1,0]=(0.210755226769)*x[0] arg[1,4,1,1]=(-0.0902751419945)*x[1] arg[1,4,2,0]=(0.70033387381)*x[0] arg[1,4,2,1]=(0.305733565661)*x[1] arg[2,0,0,0]=(-0.662483167298)*x[0] arg[2,0,0,1]=(0.585252048652)*x[1] arg[2,0,1,0]=(-0.398813785959)*x[0] arg[2,0,1,1]=(-0.797438697186)*x[1] arg[2,0,2,0]=(-0.508308971009)*x[0] arg[2,0,2,1]=(0.302249407524)*x[1] arg[2,1,0,0]=(0.208644491879)*x[0] arg[2,1,0,1]=(-0.604749055374)*x[1] arg[2,1,1,0]=(0.641654284594)*x[0] arg[2,1,1,1]=(0.456898593356)*x[1] arg[2,1,2,0]=(-0.398043867778)*x[0] arg[2,1,2,1]=(-0.0712344657587)*x[1] arg[2,2,0,0]=(0.0967860954865)*x[0] arg[2,2,0,1]=(0.520449905952)*x[1] arg[2,2,1,0]=(0.770198029595)*x[0] arg[2,2,1,1]=(-0.594004671621)*x[1] arg[2,2,2,0]=(-0.744571452885)*x[0] arg[2,2,2,1]=(0.544447367825)*x[1] arg[2,3,0,0]=(-0.137087966968)*x[0] arg[2,3,0,1]=(0.120672667497)*x[1] arg[2,3,1,0]=(0.204800088057)*x[0] arg[2,3,1,1]=(0.626526346076)*x[1] arg[2,3,2,0]=(-0.696480393227)*x[0] arg[2,3,2,1]=(0.188533741996)*x[1] arg[2,4,0,0]=(-0.403523821067)*x[0] arg[2,4,0,1]=(-0.428048989483)*x[1] arg[2,4,1,0]=(-0.244186366584)*x[0] arg[2,4,1,1]=(0.00866444909003)*x[1] arg[2,4,2,0]=(-0.445991308853)*x[0] arg[2,4,2,1]=(-0.899951068935)*x[1] arg[3,0,0,0]=(0.609340085418)*x[0] arg[3,0,0,1]=(0.878750391425)*x[1] arg[3,0,1,0]=(0.258064654464)*x[0] arg[3,0,1,1]=(-0.482402612985)*x[1] arg[3,0,2,0]=(0.943732283389)*x[0] arg[3,0,2,1]=(0.65514211843)*x[1] arg[3,1,0,0]=(-0.894551979619)*x[0] arg[3,1,0,1]=(0.220116541042)*x[1] arg[3,1,1,0]=(0.386887699577)*x[0] arg[3,1,1,1]=(-0.422560075108)*x[1] arg[3,1,2,0]=(0.00387273783493)*x[0] arg[3,1,2,1]=(0.465673505613)*x[1] arg[3,2,0,0]=(0.987383428982)*x[0] arg[3,2,0,1]=(0.376320055964)*x[1] arg[3,2,1,0]=(-0.463778689128)*x[0] arg[3,2,1,1]=(0.179816566227)*x[1] arg[3,2,2,0]=(0.961522856801)*x[0] arg[3,2,2,1]=(-0.257779627946)*x[1] arg[3,3,0,0]=(0.748886531458)*x[0] arg[3,3,0,1]=(-0.257342282566)*x[1] arg[3,3,1,0]=(0.377494024401)*x[0] arg[3,3,1,1]=(-0.334588346017)*x[1] arg[3,3,2,0]=(0.502495149189)*x[0] arg[3,3,2,1]=(0.534612429702)*x[1] arg[3,4,0,0]=(-0.308551337355)*x[0] arg[3,4,0,1]=(-0.471825826745)*x[1] arg[3,4,1,0]=(-0.262606531584)*x[0] arg[3,4,1,1]=(0.766089616367)*x[1] arg[3,4,2,0]=(-0.136526755642)*x[0] arg[3,4,2,1]=(0.675111459363)*x[1] ref=sqrt((37.3453550914)*(2.*dim+1.)/3.) else: arg=Data(0,(4, 5, 3, 3),w) arg[0,0,0,0]=(0.532946231146)*x[0] arg[0,0,0,1]=(0.269364089513)*x[1] arg[0,0,0,2]=(-0.207412457081)*x[2] arg[0,0,1,0]=(-0.843104704858)*x[0] arg[0,0,1,1]=(0.0416216508473)*x[1] arg[0,0,1,2]=(-0.836074693662)*x[2] arg[0,0,2,0]=(0.943609268731)*x[0] arg[0,0,2,1]=(0.0154543737816)*x[1] arg[0,0,2,2]=(0.0726268788381)*x[2] arg[0,1,0,0]=(0.108422740078)*x[0] arg[0,1,0,1]=(-0.296667916638)*x[1] arg[0,1,0,2]=(-0.769732600535)*x[2] arg[0,1,1,0]=(-0.428575493834)*x[0] arg[0,1,1,1]=(0.421245456722)*x[1] arg[0,1,1,2]=(-0.588277652277)*x[2] arg[0,1,2,0]=(0.145294576795)*x[0] arg[0,1,2,1]=(0.323206623794)*x[1] arg[0,1,2,2]=(0.788115602892)*x[2] arg[0,2,0,0]=(-0.227877282292)*x[0] arg[0,2,0,1]=(-0.630647460719)*x[1] arg[0,2,0,2]=(0.58754882135)*x[2] arg[0,2,1,0]=(0.347191113403)*x[0] arg[0,2,1,1]=(0.464093634725)*x[1] arg[0,2,1,2]=(-0.0412800774497)*x[2] arg[0,2,2,0]=(0.223364317185)*x[0] arg[0,2,2,1]=(0.257201130157)*x[1] arg[0,2,2,2]=(0.063203467463)*x[2] arg[0,3,0,0]=(-0.723240451643)*x[0] arg[0,3,0,1]=(-0.862468295097)*x[1] arg[0,3,0,2]=(-0.149283247587)*x[2] arg[0,3,1,0]=(0.15680097839)*x[0] arg[0,3,1,1]=(0.421563637547)*x[1] arg[0,3,1,2]=(0.111549188549)*x[2] arg[0,3,2,0]=(-0.272783329363)*x[0] arg[0,3,2,1]=(-0.420352789853)*x[1] arg[0,3,2,2]=(0.570865117722)*x[2] arg[0,4,0,0]=(-0.321910078414)*x[0] arg[0,4,0,1]=(0.988695599439)*x[1] arg[0,4,0,2]=(0.920200893398)*x[2] arg[0,4,1,0]=(0.0260910072651)*x[0] arg[0,4,1,1]=(0.460012578184)*x[1] arg[0,4,1,2]=(0.848099524112)*x[2] arg[0,4,2,0]=(0.242157803251)*x[0] arg[0,4,2,1]=(0.394528777004)*x[1] arg[0,4,2,2]=(0.562996837311)*x[2] arg[1,0,0,0]=(0.459886225958)*x[0] arg[1,0,0,1]=(-0.721868942003)*x[1] arg[1,0,0,2]=(0.432203082994)*x[2] arg[1,0,1,0]=(0.409831045482)*x[0] arg[1,0,1,1]=(-0.481677513473)*x[1] arg[1,0,1,2]=(0.439387853437)*x[2] arg[1,0,2,0]=(0.261583198434)*x[0] arg[1,0,2,1]=(0.290993423577)*x[1] arg[1,0,2,2]=(0.477993114134)*x[2] arg[1,1,0,0]=(0.586344598248)*x[0] arg[1,1,0,1]=(-0.105390792831)*x[1] arg[1,1,0,2]=(0.335990751314)*x[2] arg[1,1,1,0]=(-0.191500562856)*x[0] arg[1,1,1,1]=(0.244514598216)*x[1] arg[1,1,1,2]=(-0.804402720669)*x[2] arg[1,1,2,0]=(-0.455225710648)*x[0] arg[1,1,2,1]=(-0.505052700585)*x[1] arg[1,1,2,2]=(-0.0240295199362)*x[2] arg[1,2,0,0]=(-0.718487964893)*x[0] arg[1,2,0,1]=(-0.0899522570462)*x[1] arg[1,2,0,2]=(-0.293353754696)*x[2] arg[1,2,1,0]=(-0.180013826342)*x[0] arg[1,2,1,1]=(0.793689231922)*x[1] arg[1,2,1,2]=(0.673066555571)*x[2] arg[1,2,2,0]=(0.705362155032)*x[0] arg[1,2,2,1]=(0.54476742883)*x[1] arg[1,2,2,2]=(-0.331195064878)*x[2] arg[1,3,0,0]=(-0.360927441647)*x[0] arg[1,3,0,1]=(0.230772030282)*x[1] arg[1,3,0,2]=(0.912342489431)*x[2] arg[1,3,1,0]=(-0.817510690014)*x[0] arg[1,3,1,1]=(0.397583721353)*x[1] arg[1,3,1,2]=(-0.982551067917)*x[2] arg[1,3,2,0]=(0.86380240427)*x[0] arg[1,3,2,1]=(-0.415018976841)*x[1] arg[1,3,2,2]=(0.271582572267)*x[2] arg[1,4,0,0]=(0.252845347406)*x[0] arg[1,4,0,1]=(0.687786802906)*x[1] arg[1,4,0,2]=(0.465501171342)*x[2] arg[1,4,1,0]=(-0.613703721675)*x[0] arg[1,4,1,1]=(-0.110297640533)*x[1] arg[1,4,1,2]=(-0.836768056501)*x[2] arg[1,4,2,0]=(-0.0400898232224)*x[0] arg[1,4,2,1]=(0.0358172759009)*x[1] arg[1,4,2,2]=(-0.335751455408)*x[2] arg[2,0,0,0]=(-0.309992915015)*x[0] arg[2,0,0,1]=(-0.721404217867)*x[1] arg[2,0,0,2]=(-0.548000635629)*x[2] arg[2,0,1,0]=(0.651175831531)*x[0] arg[2,0,1,1]=(0.158960783491)*x[1] arg[2,0,1,2]=(-0.310676926155)*x[2] arg[2,0,2,0]=(-0.122289734411)*x[0] arg[2,0,2,1]=(-0.252405938421)*x[1] arg[2,0,2,2]=(-0.938280244213)*x[2] arg[2,1,0,0]=(0.559495801686)*x[0] arg[2,1,0,1]=(-0.547182622716)*x[1] arg[2,1,0,2]=(0.397441517898)*x[2] arg[2,1,1,0]=(-0.406112472071)*x[0] arg[2,1,1,1]=(0.355063810677)*x[1] arg[2,1,1,2]=(0.760400203215)*x[2] arg[2,1,2,0]=(0.992201320481)*x[0] arg[2,1,2,1]=(0.0580660882576)*x[1] arg[2,1,2,2]=(-0.643170879939)*x[2] arg[2,2,0,0]=(-0.280644461832)*x[0] arg[2,2,0,1]=(-0.0467430285531)*x[1] arg[2,2,0,2]=(0.314050593255)*x[2] arg[2,2,1,0]=(-0.230032618609)*x[0] arg[2,2,1,1]=(0.0996058698273)*x[1] arg[2,2,1,2]=(-0.0270266073208)*x[2] arg[2,2,2,0]=(0.767914132956)*x[0] arg[2,2,2,1]=(0.496930363612)*x[1] arg[2,2,2,2]=(-0.599525033616)*x[2] arg[2,3,0,0]=(-0.326433376073)*x[0] arg[2,3,0,1]=(-0.0366374501025)*x[1] arg[2,3,0,2]=(0.22555705749)*x[2] arg[2,3,1,0]=(-0.162548813895)*x[0] arg[2,3,1,1]=(-0.110074212194)*x[1] arg[2,3,1,2]=(-0.143600895553)*x[2] arg[2,3,2,0]=(0.771148880174)*x[0] arg[2,3,2,1]=(0.112528116552)*x[1] arg[2,3,2,2]=(-0.955735294341)*x[2] arg[2,4,0,0]=(-0.968392951034)*x[0] arg[2,4,0,1]=(-0.36901708507)*x[1] arg[2,4,0,2]=(0.283692515492)*x[2] arg[2,4,1,0]=(0.997238032837)*x[0] arg[2,4,1,1]=(-0.625794124653)*x[1] arg[2,4,1,2]=(0.533386027556)*x[2] arg[2,4,2,0]=(0.977311695557)*x[0] arg[2,4,2,1]=(0.693009976689)*x[1] arg[2,4,2,2]=(0.711179347652)*x[2] arg[3,0,0,0]=(-0.155585788931)*x[0] arg[3,0,0,1]=(0.0228078851234)*x[1] arg[3,0,0,2]=(0.510104938032)*x[2] arg[3,0,1,0]=(0.74865995369)*x[0] arg[3,0,1,1]=(0.672153736284)*x[1] arg[3,0,1,2]=(0.588012355098)*x[2] arg[3,0,2,0]=(-0.924508475715)*x[0] arg[3,0,2,1]=(-0.392784674758)*x[1] arg[3,0,2,2]=(-0.36371454642)*x[2] arg[3,1,0,0]=(-0.709783490337)*x[0] arg[3,1,0,1]=(0.844136172222)*x[1] arg[3,1,0,2]=(0.621011730043)*x[2] arg[3,1,1,0]=(0.428807337181)*x[0] arg[3,1,1,1]=(0.126300214574)*x[1] arg[3,1,1,2]=(0.795972806221)*x[2] arg[3,1,2,0]=(-0.252334324004)*x[0] arg[3,1,2,1]=(-0.722829467938)*x[1] arg[3,1,2,2]=(-0.551540062366)*x[2] arg[3,2,0,0]=(-0.134668475963)*x[0] arg[3,2,0,1]=(-0.598747540536)*x[1] arg[3,2,0,2]=(0.426422436624)*x[2] arg[3,2,1,0]=(-0.363050323762)*x[0] arg[3,2,1,1]=(0.980891457977)*x[1] arg[3,2,1,2]=(0.162831912555)*x[2] arg[3,2,2,0]=(-0.126505493475)*x[0] arg[3,2,2,1]=(-0.578567864811)*x[1] arg[3,2,2,2]=(-0.509843129095)*x[2] arg[3,3,0,0]=(-0.446171262265)*x[0] arg[3,3,0,1]=(-0.715175197494)*x[1] arg[3,3,0,2]=(-0.881016888806)*x[2] arg[3,3,1,0]=(-0.942020866327)*x[0] arg[3,3,1,1]=(0.156434646828)*x[1] arg[3,3,1,2]=(0.523624761583)*x[2] arg[3,3,2,0]=(-0.683550923926)*x[0] arg[3,3,2,1]=(0.857075218033)*x[1] arg[3,3,2,2]=(0.297672594023)*x[2] arg[3,4,0,0]=(0.74317121113)*x[0] arg[3,4,0,1]=(0.076464540756)*x[1] arg[3,4,0,2]=(0.781965468281)*x[2] arg[3,4,1,0]=(0.417750169098)*x[0] arg[3,4,1,1]=(0.82275428729)*x[1] arg[3,4,1,2]=(0.919072321093)*x[2] arg[3,4,2,0]=(-0.0246706472217)*x[0] arg[3,4,2,1]=(0.179863245513)*x[1] arg[3,4,2,2]=(0.539115287766)*x[2] ref=sqrt((52.492676775)*(2.*dim+1.)/3.) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onReducedFunctionOnBoundary_fromData_rank0(self): """ tests L2-norm of Data on the ReducedFunctionOnBoundary assumptions: self.domain supports integration on ReducedFunctionOnBoundary """ dim=self.domain.getDim() w=ReducedFunctionOnBoundary(self.domain) x=w.getX() if dim==2: arg=Data(0,(),w) arg=(-0.245574919477)*sqrt(x[0]) ref=sqrt((0.0603070410759)*dim) else: arg=Data(0,(),w) arg=(0.757324521515)*sqrt(x[0]) ref=sqrt((0.573540430888)*dim) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onReducedFunctionOnBoundary_fromData_rank1(self): """ tests L2-norm of Data on the ReducedFunctionOnBoundary assumptions: self.domain supports integration on ReducedFunctionOnBoundary """ dim=self.domain.getDim() w=ReducedFunctionOnBoundary(self.domain) x=w.getX() if dim==2: arg=Data(0,(2,),w) arg[0]=(0.723421565407)*sqrt(x[0]) arg[1]=(-0.460477393103)*sqrt(x[1]) ref=sqrt((0.735378190855)*dim) else: arg=Data(0,(3,),w) arg[0]=(-0.88528497163)*sqrt(x[0]) arg[1]=(-0.65510214636)*sqrt(x[1]) arg[2]=(0.399538866363)*sqrt(x[2]) ref=sqrt((1.37251960889)*dim) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onReducedFunctionOnBoundary_fromData_rank2(self): """ tests L2-norm of Data on the ReducedFunctionOnBoundary assumptions: self.domain supports integration on ReducedFunctionOnBoundary """ dim=self.domain.getDim() w=ReducedFunctionOnBoundary(self.domain) x=w.getX() if dim==2: arg=Data(0,(4, 2),w) arg[0,0]=(0.955620993904)*sqrt(x[0]) arg[0,1]=(-0.0987865813703)*sqrt(x[1]) arg[1,0]=(0.0288267231531)*sqrt(x[0]) arg[1,1]=(0.655440599879)*sqrt(x[1]) arg[2,0]=(0.685627284533)*sqrt(x[0]) arg[2,1]=(-0.989832824892)*sqrt(x[1]) arg[3,0]=(0.292184093194)*sqrt(x[0]) arg[3,1]=(0.149553857773)*sqrt(x[1]) ref=sqrt((2.91099532781)*dim) else: arg=Data(0,(4, 3),w) arg[0,0]=(-0.325908541533)*sqrt(x[0]) arg[0,1]=(-0.992480479749)*sqrt(x[1]) arg[0,2]=(0.660360271799)*sqrt(x[2]) arg[1,0]=(0.173485908581)*sqrt(x[0]) arg[1,1]=(-0.328755199781)*sqrt(x[1]) arg[1,2]=(-0.943354674948)*sqrt(x[2]) arg[2,0]=(0.680713222646)*sqrt(x[0]) arg[2,1]=(-0.765971835693)*sqrt(x[1]) arg[2,2]=(0.0413284847528)*sqrt(x[2]) arg[3,0]=(0.990074004708)*sqrt(x[0]) arg[3,1]=(0.941801786766)*sqrt(x[1]) arg[3,2]=(0.886926192201)*sqrt(x[2]) ref=sqrt((6.26107155228)*dim) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onReducedFunctionOnBoundary_fromData_rank3(self): """ tests L2-norm of Data on the ReducedFunctionOnBoundary assumptions: self.domain supports integration on ReducedFunctionOnBoundary """ dim=self.domain.getDim() w=ReducedFunctionOnBoundary(self.domain) x=w.getX() if dim==2: arg=Data(0,(6, 2, 2),w) arg[0,0,0]=(-0.0781611551598)*sqrt(x[0]) arg[0,0,1]=(0.291016249575)*sqrt(x[1]) arg[0,1,0]=(-0.107555233086)*sqrt(x[0]) arg[0,1,1]=(-0.559067108546)*sqrt(x[1]) arg[1,0,0]=(-0.0818406701266)*sqrt(x[0]) arg[1,0,1]=(-0.594866806483)*sqrt(x[1]) arg[1,1,0]=(-0.725814803863)*sqrt(x[0]) arg[1,1,1]=(0.59128101992)*sqrt(x[1]) arg[2,0,0]=(-0.15381555291)*sqrt(x[0]) arg[2,0,1]=(-0.679882948503)*sqrt(x[1]) arg[2,1,0]=(-0.58437193917)*sqrt(x[0]) arg[2,1,1]=(0.136304615849)*sqrt(x[1]) arg[3,0,0]=(0.0671365410096)*sqrt(x[0]) arg[3,0,1]=(-0.645687212187)*sqrt(x[1]) arg[3,1,0]=(-0.642492412392)*sqrt(x[0]) arg[3,1,1]=(-0.125760054735)*sqrt(x[1]) arg[4,0,0]=(0.731110824794)*sqrt(x[0]) arg[4,0,1]=(0.491668422979)*sqrt(x[1]) arg[4,1,0]=(-0.775841478292)*sqrt(x[0]) arg[4,1,1]=(0.728265567974)*sqrt(x[1]) arg[5,0,0]=(0.84511832373)*sqrt(x[0]) arg[5,0,1]=(-0.513796801068)*sqrt(x[1]) arg[5,1,0]=(0.113072243554)*sqrt(x[0]) arg[5,1,1]=(0.246630838744)*sqrt(x[1]) ref=sqrt((6.30829536252)*dim) else: arg=Data(0,(6, 2, 3),w) arg[0,0,0]=(0.369748116859)*sqrt(x[0]) arg[0,0,1]=(-0.758056560031)*sqrt(x[1]) arg[0,0,2]=(-0.873984709951)*sqrt(x[2]) arg[0,1,0]=(0.311680165784)*sqrt(x[0]) arg[0,1,1]=(0.374400673651)*sqrt(x[1]) arg[0,1,2]=(0.712484217076)*sqrt(x[2]) arg[1,0,0]=(0.829379714484)*sqrt(x[0]) arg[1,0,1]=(-0.0551589596149)*sqrt(x[1]) arg[1,0,2]=(0.965672208426)*sqrt(x[2]) arg[1,1,0]=(-0.205044281547)*sqrt(x[0]) arg[1,1,1]=(0.238197452756)*sqrt(x[1]) arg[1,1,2]=(-0.33456139292)*sqrt(x[2]) arg[2,0,0]=(0.649928288926)*sqrt(x[0]) arg[2,0,1]=(-0.661384953389)*sqrt(x[1]) arg[2,0,2]=(-0.253241222975)*sqrt(x[2]) arg[2,1,0]=(-0.491716575992)*sqrt(x[0]) arg[2,1,1]=(-0.970872527468)*sqrt(x[1]) arg[2,1,2]=(0.222410198921)*sqrt(x[2]) arg[3,0,0]=(0.205752630262)*sqrt(x[0]) arg[3,0,1]=(0.864804362697)*sqrt(x[1]) arg[3,0,2]=(-0.417975564033)*sqrt(x[2]) arg[3,1,0]=(0.586425694033)*sqrt(x[0]) arg[3,1,1]=(0.952661122184)*sqrt(x[1]) arg[3,1,2]=(0.608680080453)*sqrt(x[2]) arg[4,0,0]=(0.625968903369)*sqrt(x[0]) arg[4,0,1]=(-0.573909405003)*sqrt(x[1]) arg[4,0,2]=(-0.762256394595)*sqrt(x[2]) arg[4,1,0]=(0.0710742394418)*sqrt(x[0]) arg[4,1,1]=(0.583378040574)*sqrt(x[1]) arg[4,1,2]=(0.719032893115)*sqrt(x[2]) arg[5,0,0]=(0.032173368884)*sqrt(x[0]) arg[5,0,1]=(-0.434042549492)*sqrt(x[1]) arg[5,0,2]=(0.363504765447)*sqrt(x[2]) arg[5,1,0]=(0.598817469198)*sqrt(x[0]) arg[5,1,1]=(-0.163967008775)*sqrt(x[1]) arg[5,1,2]=(0.546778730604)*sqrt(x[2]) ref=sqrt((11.9696343123)*dim) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result") #+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ def test_L2_onReducedFunctionOnBoundary_fromData_rank4(self): """ tests L2-norm of Data on the ReducedFunctionOnBoundary assumptions: self.domain supports integration on ReducedFunctionOnBoundary """ dim=self.domain.getDim() w=ReducedFunctionOnBoundary(self.domain) x=w.getX() if dim==2: arg=Data(0,(4, 5, 3, 2),w) arg[0,0,0,0]=(-0.273446520069)*sqrt(x[0]) arg[0,0,0,1]=(-0.913305910831)*sqrt(x[1]) arg[0,0,1,0]=(0.0745566747537)*sqrt(x[0]) arg[0,0,1,1]=(0.98803601919)*sqrt(x[1]) arg[0,0,2,0]=(-0.244120818875)*sqrt(x[0]) arg[0,0,2,1]=(0.247509644998)*sqrt(x[1]) arg[0,1,0,0]=(-0.548756417777)*sqrt(x[0]) arg[0,1,0,1]=(-0.354587911923)*sqrt(x[1]) arg[0,1,1,0]=(0.104268198867)*sqrt(x[0]) arg[0,1,1,1]=(-0.541700877072)*sqrt(x[1]) arg[0,1,2,0]=(-0.25900060689)*sqrt(x[0]) arg[0,1,2,1]=(-0.859660175231)*sqrt(x[1]) arg[0,2,0,0]=(0.195235560321)*sqrt(x[0]) arg[0,2,0,1]=(0.175518738589)*sqrt(x[1]) arg[0,2,1,0]=(-0.0638854232272)*sqrt(x[0]) arg[0,2,1,1]=(-0.586161016541)*sqrt(x[1]) arg[0,2,2,0]=(0.580258892247)*sqrt(x[0]) arg[0,2,2,1]=(-0.931927145435)*sqrt(x[1]) arg[0,3,0,0]=(-0.408209600298)*sqrt(x[0]) arg[0,3,0,1]=(-0.0344882667014)*sqrt(x[1]) arg[0,3,1,0]=(-0.131763534163)*sqrt(x[0]) arg[0,3,1,1]=(-0.787653739965)*sqrt(x[1]) arg[0,3,2,0]=(0.0910808104711)*sqrt(x[0]) arg[0,3,2,1]=(-0.280409023611)*sqrt(x[1]) arg[0,4,0,0]=(0.97745754012)*sqrt(x[0]) arg[0,4,0,1]=(-0.59829020936)*sqrt(x[1]) arg[0,4,1,0]=(0.890520260543)*sqrt(x[0]) arg[0,4,1,1]=(-0.600760090231)*sqrt(x[1]) arg[0,4,2,0]=(-0.897992297974)*sqrt(x[0]) arg[0,4,2,1]=(-0.841169898923)*sqrt(x[1]) arg[1,0,0,0]=(-0.249868816409)*sqrt(x[0]) arg[1,0,0,1]=(0.620375082228)*sqrt(x[1]) arg[1,0,1,0]=(-0.660480789306)*sqrt(x[0]) arg[1,0,1,1]=(-0.73638571806)*sqrt(x[1]) arg[1,0,2,0]=(0.339987316643)*sqrt(x[0]) arg[1,0,2,1]=(0.541112529894)*sqrt(x[1]) arg[1,1,0,0]=(-0.468808186705)*sqrt(x[0]) arg[1,1,0,1]=(-0.32919679792)*sqrt(x[1]) arg[1,1,1,0]=(0.917292803419)*sqrt(x[0]) arg[1,1,1,1]=(-0.834265058005)*sqrt(x[1]) arg[1,1,2,0]=(-0.247536849264)*sqrt(x[0]) arg[1,1,2,1]=(-0.197503469238)*sqrt(x[1]) arg[1,2,0,0]=(0.897591919909)*sqrt(x[0]) arg[1,2,0,1]=(-0.807446231234)*sqrt(x[1]) arg[1,2,1,0]=(-0.369878499382)*sqrt(x[0]) arg[1,2,1,1]=(0.985678692179)*sqrt(x[1]) arg[1,2,2,0]=(-0.709976427525)*sqrt(x[0]) arg[1,2,2,1]=(-0.368744647016)*sqrt(x[1]) arg[1,3,0,0]=(0.299630726462)*sqrt(x[0]) arg[1,3,0,1]=(-0.445295757899)*sqrt(x[1]) arg[1,3,1,0]=(-0.922386577254)*sqrt(x[0]) arg[1,3,1,1]=(0.234794853697)*sqrt(x[1]) arg[1,3,2,0]=(0.953377720197)*sqrt(x[0]) arg[1,3,2,1]=(0.409778183998)*sqrt(x[1]) arg[1,4,0,0]=(0.271967945488)*sqrt(x[0]) arg[1,4,0,1]=(-0.578629001202)*sqrt(x[1]) arg[1,4,1,0]=(0.210755226769)*sqrt(x[0]) arg[1,4,1,1]=(-0.0902751419945)*sqrt(x[1]) arg[1,4,2,0]=(0.70033387381)*sqrt(x[0]) arg[1,4,2,1]=(0.305733565661)*sqrt(x[1]) arg[2,0,0,0]=(-0.662483167298)*sqrt(x[0]) arg[2,0,0,1]=(0.585252048652)*sqrt(x[1]) arg[2,0,1,0]=(-0.398813785959)*sqrt(x[0]) arg[2,0,1,1]=(-0.797438697186)*sqrt(x[1]) arg[2,0,2,0]=(-0.508308971009)*sqrt(x[0]) arg[2,0,2,1]=(0.302249407524)*sqrt(x[1]) arg[2,1,0,0]=(0.208644491879)*sqrt(x[0]) arg[2,1,0,1]=(-0.604749055374)*sqrt(x[1]) arg[2,1,1,0]=(0.641654284594)*sqrt(x[0]) arg[2,1,1,1]=(0.456898593356)*sqrt(x[1]) arg[2,1,2,0]=(-0.398043867778)*sqrt(x[0]) arg[2,1,2,1]=(-0.0712344657587)*sqrt(x[1]) arg[2,2,0,0]=(0.0967860954865)*sqrt(x[0]) arg[2,2,0,1]=(0.520449905952)*sqrt(x[1]) arg[2,2,1,0]=(0.770198029595)*sqrt(x[0]) arg[2,2,1,1]=(-0.594004671621)*sqrt(x[1]) arg[2,2,2,0]=(-0.744571452885)*sqrt(x[0]) arg[2,2,2,1]=(0.544447367825)*sqrt(x[1]) arg[2,3,0,0]=(-0.137087966968)*sqrt(x[0]) arg[2,3,0,1]=(0.120672667497)*sqrt(x[1]) arg[2,3,1,0]=(0.204800088057)*sqrt(x[0]) arg[2,3,1,1]=(0.626526346076)*sqrt(x[1]) arg[2,3,2,0]=(-0.696480393227)*sqrt(x[0]) arg[2,3,2,1]=(0.188533741996)*sqrt(x[1]) arg[2,4,0,0]=(-0.403523821067)*sqrt(x[0]) arg[2,4,0,1]=(-0.428048989483)*sqrt(x[1]) arg[2,4,1,0]=(-0.244186366584)*sqrt(x[0]) arg[2,4,1,1]=(0.00866444909003)*sqrt(x[1]) arg[2,4,2,0]=(-0.445991308853)*sqrt(x[0]) arg[2,4,2,1]=(-0.899951068935)*sqrt(x[1]) arg[3,0,0,0]=(0.609340085418)*sqrt(x[0]) arg[3,0,0,1]=(0.878750391425)*sqrt(x[1]) arg[3,0,1,0]=(0.258064654464)*sqrt(x[0]) arg[3,0,1,1]=(-0.482402612985)*sqrt(x[1]) arg[3,0,2,0]=(0.943732283389)*sqrt(x[0]) arg[3,0,2,1]=(0.65514211843)*sqrt(x[1]) arg[3,1,0,0]=(-0.894551979619)*sqrt(x[0]) arg[3,1,0,1]=(0.220116541042)*sqrt(x[1]) arg[3,1,1,0]=(0.386887699577)*sqrt(x[0]) arg[3,1,1,1]=(-0.422560075108)*sqrt(x[1]) arg[3,1,2,0]=(0.00387273783493)*sqrt(x[0]) arg[3,1,2,1]=(0.465673505613)*sqrt(x[1]) arg[3,2,0,0]=(0.987383428982)*sqrt(x[0]) arg[3,2,0,1]=(0.376320055964)*sqrt(x[1]) arg[3,2,1,0]=(-0.463778689128)*sqrt(x[0]) arg[3,2,1,1]=(0.179816566227)*sqrt(x[1]) arg[3,2,2,0]=(0.961522856801)*sqrt(x[0]) arg[3,2,2,1]=(-0.257779627946)*sqrt(x[1]) arg[3,3,0,0]=(0.748886531458)*sqrt(x[0]) arg[3,3,0,1]=(-0.257342282566)*sqrt(x[1]) arg[3,3,1,0]=(0.377494024401)*sqrt(x[0]) arg[3,3,1,1]=(-0.334588346017)*sqrt(x[1]) arg[3,3,2,0]=(0.502495149189)*sqrt(x[0]) arg[3,3,2,1]=(0.534612429702)*sqrt(x[1]) arg[3,4,0,0]=(-0.308551337355)*sqrt(x[0]) arg[3,4,0,1]=(-0.471825826745)*sqrt(x[1]) arg[3,4,1,0]=(-0.262606531584)*sqrt(x[0]) arg[3,4,1,1]=(0.766089616367)*sqrt(x[1]) arg[3,4,2,0]=(-0.136526755642)*sqrt(x[0]) arg[3,4,2,1]=(0.675111459363)*sqrt(x[1]) ref=sqrt((37.3453550914)*dim) else: arg=Data(0,(4, 5, 3, 3),w) arg[0,0,0,0]=(0.532946231146)*sqrt(x[0]) arg[0,0,0,1]=(0.269364089513)*sqrt(x[1]) arg[0,0,0,2]=(-0.207412457081)*sqrt(x[2]) arg[0,0,1,0]=(-0.843104704858)*sqrt(x[0]) arg[0,0,1,1]=(0.0416216508473)*sqrt(x[1]) arg[0,0,1,2]=(-0.836074693662)*sqrt(x[2]) arg[0,0,2,0]=(0.943609268731)*sqrt(x[0]) arg[0,0,2,1]=(0.0154543737816)*sqrt(x[1]) arg[0,0,2,2]=(0.0726268788381)*sqrt(x[2]) arg[0,1,0,0]=(0.108422740078)*sqrt(x[0]) arg[0,1,0,1]=(-0.296667916638)*sqrt(x[1]) arg[0,1,0,2]=(-0.769732600535)*sqrt(x[2]) arg[0,1,1,0]=(-0.428575493834)*sqrt(x[0]) arg[0,1,1,1]=(0.421245456722)*sqrt(x[1]) arg[0,1,1,2]=(-0.588277652277)*sqrt(x[2]) arg[0,1,2,0]=(0.145294576795)*sqrt(x[0]) arg[0,1,2,1]=(0.323206623794)*sqrt(x[1]) arg[0,1,2,2]=(0.788115602892)*sqrt(x[2]) arg[0,2,0,0]=(-0.227877282292)*sqrt(x[0]) arg[0,2,0,1]=(-0.630647460719)*sqrt(x[1]) arg[0,2,0,2]=(0.58754882135)*sqrt(x[2]) arg[0,2,1,0]=(0.347191113403)*sqrt(x[0]) arg[0,2,1,1]=(0.464093634725)*sqrt(x[1]) arg[0,2,1,2]=(-0.0412800774497)*sqrt(x[2]) arg[0,2,2,0]=(0.223364317185)*sqrt(x[0]) arg[0,2,2,1]=(0.257201130157)*sqrt(x[1]) arg[0,2,2,2]=(0.063203467463)*sqrt(x[2]) arg[0,3,0,0]=(-0.723240451643)*sqrt(x[0]) arg[0,3,0,1]=(-0.862468295097)*sqrt(x[1]) arg[0,3,0,2]=(-0.149283247587)*sqrt(x[2]) arg[0,3,1,0]=(0.15680097839)*sqrt(x[0]) arg[0,3,1,1]=(0.421563637547)*sqrt(x[1]) arg[0,3,1,2]=(0.111549188549)*sqrt(x[2]) arg[0,3,2,0]=(-0.272783329363)*sqrt(x[0]) arg[0,3,2,1]=(-0.420352789853)*sqrt(x[1]) arg[0,3,2,2]=(0.570865117722)*sqrt(x[2]) arg[0,4,0,0]=(-0.321910078414)*sqrt(x[0]) arg[0,4,0,1]=(0.988695599439)*sqrt(x[1]) arg[0,4,0,2]=(0.920200893398)*sqrt(x[2]) arg[0,4,1,0]=(0.0260910072651)*sqrt(x[0]) arg[0,4,1,1]=(0.460012578184)*sqrt(x[1]) arg[0,4,1,2]=(0.848099524112)*sqrt(x[2]) arg[0,4,2,0]=(0.242157803251)*sqrt(x[0]) arg[0,4,2,1]=(0.394528777004)*sqrt(x[1]) arg[0,4,2,2]=(0.562996837311)*sqrt(x[2]) arg[1,0,0,0]=(0.459886225958)*sqrt(x[0]) arg[1,0,0,1]=(-0.721868942003)*sqrt(x[1]) arg[1,0,0,2]=(0.432203082994)*sqrt(x[2]) arg[1,0,1,0]=(0.409831045482)*sqrt(x[0]) arg[1,0,1,1]=(-0.481677513473)*sqrt(x[1]) arg[1,0,1,2]=(0.439387853437)*sqrt(x[2]) arg[1,0,2,0]=(0.261583198434)*sqrt(x[0]) arg[1,0,2,1]=(0.290993423577)*sqrt(x[1]) arg[1,0,2,2]=(0.477993114134)*sqrt(x[2]) arg[1,1,0,0]=(0.586344598248)*sqrt(x[0]) arg[1,1,0,1]=(-0.105390792831)*sqrt(x[1]) arg[1,1,0,2]=(0.335990751314)*sqrt(x[2]) arg[1,1,1,0]=(-0.191500562856)*sqrt(x[0]) arg[1,1,1,1]=(0.244514598216)*sqrt(x[1]) arg[1,1,1,2]=(-0.804402720669)*sqrt(x[2]) arg[1,1,2,0]=(-0.455225710648)*sqrt(x[0]) arg[1,1,2,1]=(-0.505052700585)*sqrt(x[1]) arg[1,1,2,2]=(-0.0240295199362)*sqrt(x[2]) arg[1,2,0,0]=(-0.718487964893)*sqrt(x[0]) arg[1,2,0,1]=(-0.0899522570462)*sqrt(x[1]) arg[1,2,0,2]=(-0.293353754696)*sqrt(x[2]) arg[1,2,1,0]=(-0.180013826342)*sqrt(x[0]) arg[1,2,1,1]=(0.793689231922)*sqrt(x[1]) arg[1,2,1,2]=(0.673066555571)*sqrt(x[2]) arg[1,2,2,0]=(0.705362155032)*sqrt(x[0]) arg[1,2,2,1]=(0.54476742883)*sqrt(x[1]) arg[1,2,2,2]=(-0.331195064878)*sqrt(x[2]) arg[1,3,0,0]=(-0.360927441647)*sqrt(x[0]) arg[1,3,0,1]=(0.230772030282)*sqrt(x[1]) arg[1,3,0,2]=(0.912342489431)*sqrt(x[2]) arg[1,3,1,0]=(-0.817510690014)*sqrt(x[0]) arg[1,3,1,1]=(0.397583721353)*sqrt(x[1]) arg[1,3,1,2]=(-0.982551067917)*sqrt(x[2]) arg[1,3,2,0]=(0.86380240427)*sqrt(x[0]) arg[1,3,2,1]=(-0.415018976841)*sqrt(x[1]) arg[1,3,2,2]=(0.271582572267)*sqrt(x[2]) arg[1,4,0,0]=(0.252845347406)*sqrt(x[0]) arg[1,4,0,1]=(0.687786802906)*sqrt(x[1]) arg[1,4,0,2]=(0.465501171342)*sqrt(x[2]) arg[1,4,1,0]=(-0.613703721675)*sqrt(x[0]) arg[1,4,1,1]=(-0.110297640533)*sqrt(x[1]) arg[1,4,1,2]=(-0.836768056501)*sqrt(x[2]) arg[1,4,2,0]=(-0.0400898232224)*sqrt(x[0]) arg[1,4,2,1]=(0.0358172759009)*sqrt(x[1]) arg[1,4,2,2]=(-0.335751455408)*sqrt(x[2]) arg[2,0,0,0]=(-0.309992915015)*sqrt(x[0]) arg[2,0,0,1]=(-0.721404217867)*sqrt(x[1]) arg[2,0,0,2]=(-0.548000635629)*sqrt(x[2]) arg[2,0,1,0]=(0.651175831531)*sqrt(x[0]) arg[2,0,1,1]=(0.158960783491)*sqrt(x[1]) arg[2,0,1,2]=(-0.310676926155)*sqrt(x[2]) arg[2,0,2,0]=(-0.122289734411)*sqrt(x[0]) arg[2,0,2,1]=(-0.252405938421)*sqrt(x[1]) arg[2,0,2,2]=(-0.938280244213)*sqrt(x[2]) arg[2,1,0,0]=(0.559495801686)*sqrt(x[0]) arg[2,1,0,1]=(-0.547182622716)*sqrt(x[1]) arg[2,1,0,2]=(0.397441517898)*sqrt(x[2]) arg[2,1,1,0]=(-0.406112472071)*sqrt(x[0]) arg[2,1,1,1]=(0.355063810677)*sqrt(x[1]) arg[2,1,1,2]=(0.760400203215)*sqrt(x[2]) arg[2,1,2,0]=(0.992201320481)*sqrt(x[0]) arg[2,1,2,1]=(0.0580660882576)*sqrt(x[1]) arg[2,1,2,2]=(-0.643170879939)*sqrt(x[2]) arg[2,2,0,0]=(-0.280644461832)*sqrt(x[0]) arg[2,2,0,1]=(-0.0467430285531)*sqrt(x[1]) arg[2,2,0,2]=(0.314050593255)*sqrt(x[2]) arg[2,2,1,0]=(-0.230032618609)*sqrt(x[0]) arg[2,2,1,1]=(0.0996058698273)*sqrt(x[1]) arg[2,2,1,2]=(-0.0270266073208)*sqrt(x[2]) arg[2,2,2,0]=(0.767914132956)*sqrt(x[0]) arg[2,2,2,1]=(0.496930363612)*sqrt(x[1]) arg[2,2,2,2]=(-0.599525033616)*sqrt(x[2]) arg[2,3,0,0]=(-0.326433376073)*sqrt(x[0]) arg[2,3,0,1]=(-0.0366374501025)*sqrt(x[1]) arg[2,3,0,2]=(0.22555705749)*sqrt(x[2]) arg[2,3,1,0]=(-0.162548813895)*sqrt(x[0]) arg[2,3,1,1]=(-0.110074212194)*sqrt(x[1]) arg[2,3,1,2]=(-0.143600895553)*sqrt(x[2]) arg[2,3,2,0]=(0.771148880174)*sqrt(x[0]) arg[2,3,2,1]=(0.112528116552)*sqrt(x[1]) arg[2,3,2,2]=(-0.955735294341)*sqrt(x[2]) arg[2,4,0,0]=(-0.968392951034)*sqrt(x[0]) arg[2,4,0,1]=(-0.36901708507)*sqrt(x[1]) arg[2,4,0,2]=(0.283692515492)*sqrt(x[2]) arg[2,4,1,0]=(0.997238032837)*sqrt(x[0]) arg[2,4,1,1]=(-0.625794124653)*sqrt(x[1]) arg[2,4,1,2]=(0.533386027556)*sqrt(x[2]) arg[2,4,2,0]=(0.977311695557)*sqrt(x[0]) arg[2,4,2,1]=(0.693009976689)*sqrt(x[1]) arg[2,4,2,2]=(0.711179347652)*sqrt(x[2]) arg[3,0,0,0]=(-0.155585788931)*sqrt(x[0]) arg[3,0,0,1]=(0.0228078851234)*sqrt(x[1]) arg[3,0,0,2]=(0.510104938032)*sqrt(x[2]) arg[3,0,1,0]=(0.74865995369)*sqrt(x[0]) arg[3,0,1,1]=(0.672153736284)*sqrt(x[1]) arg[3,0,1,2]=(0.588012355098)*sqrt(x[2]) arg[3,0,2,0]=(-0.924508475715)*sqrt(x[0]) arg[3,0,2,1]=(-0.392784674758)*sqrt(x[1]) arg[3,0,2,2]=(-0.36371454642)*sqrt(x[2]) arg[3,1,0,0]=(-0.709783490337)*sqrt(x[0]) arg[3,1,0,1]=(0.844136172222)*sqrt(x[1]) arg[3,1,0,2]=(0.621011730043)*sqrt(x[2]) arg[3,1,1,0]=(0.428807337181)*sqrt(x[0]) arg[3,1,1,1]=(0.126300214574)*sqrt(x[1]) arg[3,1,1,2]=(0.795972806221)*sqrt(x[2]) arg[3,1,2,0]=(-0.252334324004)*sqrt(x[0]) arg[3,1,2,1]=(-0.722829467938)*sqrt(x[1]) arg[3,1,2,2]=(-0.551540062366)*sqrt(x[2]) arg[3,2,0,0]=(-0.134668475963)*sqrt(x[0]) arg[3,2,0,1]=(-0.598747540536)*sqrt(x[1]) arg[3,2,0,2]=(0.426422436624)*sqrt(x[2]) arg[3,2,1,0]=(-0.363050323762)*sqrt(x[0]) arg[3,2,1,1]=(0.980891457977)*sqrt(x[1]) arg[3,2,1,2]=(0.162831912555)*sqrt(x[2]) arg[3,2,2,0]=(-0.126505493475)*sqrt(x[0]) arg[3,2,2,1]=(-0.578567864811)*sqrt(x[1]) arg[3,2,2,2]=(-0.509843129095)*sqrt(x[2]) arg[3,3,0,0]=(-0.446171262265)*sqrt(x[0]) arg[3,3,0,1]=(-0.715175197494)*sqrt(x[1]) arg[3,3,0,2]=(-0.881016888806)*sqrt(x[2]) arg[3,3,1,0]=(-0.942020866327)*sqrt(x[0]) arg[3,3,1,1]=(0.156434646828)*sqrt(x[1]) arg[3,3,1,2]=(0.523624761583)*sqrt(x[2]) arg[3,3,2,0]=(-0.683550923926)*sqrt(x[0]) arg[3,3,2,1]=(0.857075218033)*sqrt(x[1]) arg[3,3,2,2]=(0.297672594023)*sqrt(x[2]) arg[3,4,0,0]=(0.74317121113)*sqrt(x[0]) arg[3,4,0,1]=(0.076464540756)*sqrt(x[1]) arg[3,4,0,2]=(0.781965468281)*sqrt(x[2]) arg[3,4,1,0]=(0.417750169098)*sqrt(x[0]) arg[3,4,1,1]=(0.82275428729)*sqrt(x[1]) arg[3,4,1,2]=(0.919072321093)*sqrt(x[2]) arg[3,4,2,0]=(-0.0246706472217)*sqrt(x[0]) arg[3,4,2,1]=(0.179863245513)*sqrt(x[1]) arg[3,4,2,2]=(0.539115287766)*sqrt(x[2]) ref=sqrt((52.492676775)*dim) res=L2(arg) self.assertTrue(isinstance(res,float),"wrong type of result.") self.assertAlmostEqual(res,ref,int(-log10(self.RES_TOL)),"wrong result")

42.768281

159

0.53112

16,574

90,070

2.874925

0.061723

0.041764

0.064639

0.058175

0.952633

0.943357

0.927113

0.90388

0.790321

0.188902

0

0.387442

0.197979

90,070

2,105

160

42.788599

0.27217

0.047829

0

0.139301

0

0.016004

0

0.03125

1

0.012712

false

0

0.004237

0

0.018008

0.00053

0

null

0

1

0

1

0

1

0

null

0

7

c1ed42b1b273f6771b22bd977457cacaeb047271

28

py

Python

my.py

nowage/penDetect

dab67dd0e29e9409076b204b76184437e9cd855b

[ "MIT" ]

1

2022-02-05T02:02:28.000Z

my.py

panafamily/penDetect

dab67dd0e29e9409076b204b76184437e9cd855b

[ "MIT" ]

null

my.py

panafamily/penDetect

dab67dd0e29e9409076b204b76184437e9cd855b

[ "MIT" ]

31

2020-12-22T11:24:35.000Z

2021-01-08T07:16:15.000Z

def f1(x,y): return x+y+1

9.333333

14

0.571429

8

28

2

0.75

0.25

0

0.090909

0.214286

28

2

15

14

0.636364

0

1

0.5

false

0

0.5

1

0

1

0

null

1

0

1

0

null

0

1

0

1

0

7

de133a73f1ab7d94339d44084247af4b5d9e670e

10,902

py

Python

integration-tests/integration_tests/integration_tests/component_tests/component_asynchronous_express_message_pattern_tests.py

tomzo/integration-adaptors

d4f296d3e44475df6f69a78a27fac6ed5b67513b

[ "Apache-2.0" ]

null

integration-tests/integration_tests/integration_tests/component_tests/component_asynchronous_express_message_pattern_tests.py

tomzo/integration-adaptors

d4f296d3e44475df6f69a78a27fac6ed5b67513b

[ "Apache-2.0" ]

4

2021-03-31T19:46:30.000Z

2021-03-31T19:55:03.000Z

integration-tests/integration_tests/integration_tests/component_tests/component_asynchronous_express_message_pattern_tests.py

tomzo/integration-adaptors

d4f296d3e44475df6f69a78a27fac6ed5b67513b

[ "Apache-2.0" ]

2

2020-04-02T11:22:17.000Z

2021-04-11T07:24:48.000Z

"""Component tests related to the asynchronous-express message pattern""" import unittest from integration_tests.assertors.text_error_response_assertor import TextErrorResponseAssertor from integration_tests.dynamo.dynamo import MHS_STATE_TABLE_DYNAMO_WRAPPER, MHS_SYNC_ASYNC_TABLE_DYNAMO_WRAPPER from integration_tests.dynamo.dynamo_mhs_table import DynamoMhsTableStateAssertor from integration_tests.helpers.build_message import build_message from integration_tests.http.mhs_http_request_builder import MhsHttpRequestBuilder class AsynchronousExpressMssagingPatternTests(unittest.TestCase): """ These tests show an asynchronous express response from Spine via the MHS for the example message interaction of PSIS(Personal Spine Information Service). They make use of the fake-spine service, which has known responses for certain message ids. They make use of the fake-spine-route-lookup service, which has known responses for certain interaction ids. """ def setUp(self): MHS_STATE_TABLE_DYNAMO_WRAPPER.clear_all_records_in_table() MHS_SYNC_ASYNC_TABLE_DYNAMO_WRAPPER.clear_all_records_in_table() def test_should_return_information_from_soap_fault_returned_from_spine_in_original_post_request_to_client(self): """ Message ID: AD7D39A8-1B6C-4520-8367-6B7BEBD7B842 configured in fakespine to return a SOAP Fault error. Error found here: fake_spine/fake_spine/configured_responses/soap_fault_single_error.xml """ # Arrange message, message_id = build_message('QUPC_IN160101UK05', '9689177923', message_id='AD7D39A8-1B6C-4520-8367-6B7BEBD7B842' ) # Act response = MhsHttpRequestBuilder() \ .with_headers(interaction_id='QUPC_IN160101UK05', message_id=message_id, sync_async=False) \ .with_body(message) \ .execute_post_expecting_error_response() # Assert TextErrorResponseAssertor(response.text) \ .assert_error_code(200) \ .assert_code_context('urn:nhs:names:error:tms') \ .assert_severity('Error') def test_should_record_message_status_as_nackd_when_soap_error_response_returned_from_spine(self): """ Message ID: AD7D39A8-1B6C-4520-8367-6B7BEBD7B842 configured in fakespine to return a SOAP Fault error. Error found here: fake_spine/fake_spine/configured_responses/soap_fault_single_error.xml """ # Arrange message, message_id = build_message('QUPC_IN160101UK05', '9689177923', message_id='AD7D39A8-1B6C-4520-8367-6B7BEBD7B842' ) # Act MhsHttpRequestBuilder() \ .with_headers(interaction_id='QUPC_IN160101UK05', message_id=message_id, sync_async=False) \ .with_body(message) \ .execute_post_expecting_error_response() # Assert DynamoMhsTableStateAssertor(MHS_STATE_TABLE_DYNAMO_WRAPPER.get_all_records_in_table()) \ .assert_single_item_exists_with_key(message_id) \ .assert_item_contains_values( { 'INBOUND_STATUS': None, 'OUTBOUND_STATUS': 'OUTBOUND_MESSAGE_NACKD', 'WORKFLOW': 'async-express' }) def test_should_return_information_from_ebxml_fault_returned_from_spine_in_original_post_request(self): """ Message ID: '7AA57E38-8B20-4AE0-9E73-B9B0C0C42BDA' configured in fakespine to return a ebxml Fault error. Error found here: fake_spine/fake_spine/configured_responses/ebxml_fault_single_error.xml """ # Arrange message, message_id = build_message('QUPC_IN160101UK05', '9689177923', message_id='7AA57E38-8B20-4AE0-9E73-B9B0C0C42BDA' ) # Act response = MhsHttpRequestBuilder() \ .with_headers(interaction_id='QUPC_IN160101UK05', message_id=message_id, sync_async=False) \ .with_body(message) \ .execute_post_expecting_error_response() # Assert TextErrorResponseAssertor(response.text) \ .assert_code_context('urn:oasis:names:tc:ebxml') \ .assert_severity('Error') \ .assert_error_type('ebxml_error') def test_should_record_message_status_as_nackd_when_ebxml_error_response_returned_from_spine(self): """ Message ID: '7AA57E38-8B20-4AE0-9E73-B9B0C0C42BDA' configured in fakespine to return a ebxml Fault error. Error found here: fake_spine/fake_spine/configured_responses/ebxml_fault_single_error.xml """ # Arrange message, message_id = build_message('QUPC_IN160101UK05', '9689177923', message_id='7AA57E38-8B20-4AE0-9E73-B9B0C0C42BDA' ) # Act response = MhsHttpRequestBuilder() \ .with_headers(interaction_id='QUPC_IN160101UK05', message_id=message_id, sync_async=False) \ .with_body(message) \ .execute_post_expecting_error_response() # Assert DynamoMhsTableStateAssertor(MHS_STATE_TABLE_DYNAMO_WRAPPER.get_all_records_in_table()) \ .assert_single_item_exists_with_key(message_id) \ .assert_item_contains_values( { 'INBOUND_STATUS': None, 'OUTBOUND_STATUS': 'OUTBOUND_MESSAGE_NACKD', 'WORKFLOW': 'async-express' }) def test_should_return_information_from_soap_fault_returned_from_spine_in_original_request_to_client_when_sync_async_requested(self): """ Message ID: AD7D39A8-1B6C-4520-8367-6B7BEBD7B842 configured in fakespine to return a SOAP Fault error. Error found here: fake_spine/fake_spine/configured_responses/soap_fault_single_error.xml """ # Arrange message, message_id = build_message('QUPC_IN160101UK05', '9689177923', message_id='AD7D39A8-1B6C-4520-8367-6B7BEBD7B842' ) # Act response = MhsHttpRequestBuilder() \ .with_headers(interaction_id='QUPC_IN160101UK05', message_id=message_id, sync_async=True) \ .with_body(message) \ .execute_post_expecting_error_response() # Assert TextErrorResponseAssertor(response.text) \ .assert_error_code(200) \ .assert_code_context('urn:nhs:names:error:tms') \ .assert_severity('Error') def test_should_record_message_status_when_soap_error_response_returned_from_spine_and_sync_async_requested(self): """ Message ID: AD7D39A8-1B6C-4520-8367-6B7BEBD7B842 configured in fakespine to return a SOAP Fault error. Error found here: fake_spine/fake_spine/configured_responses/soap_fault_single_error.xml """ # Arrange message, message_id = build_message('QUPC_IN160101UK05', '9689177923', message_id='AD7D39A8-1B6C-4520-8367-6B7BEBD7B842' ) # Act MhsHttpRequestBuilder() \ .with_headers(interaction_id='QUPC_IN160101UK05', message_id=message_id, sync_async=True) \ .with_body(message) \ .execute_post_expecting_error_response() # Assert DynamoMhsTableStateAssertor(MHS_STATE_TABLE_DYNAMO_WRAPPER.get_all_records_in_table()) \ .assert_single_item_exists_with_key(message_id) \ .assert_item_contains_values( { 'INBOUND_STATUS': None, 'OUTBOUND_STATUS': 'OUTBOUND_SYNC_ASYNC_MESSAGE_SUCCESSFULLY_RESPONDED', 'WORKFLOW': 'sync-async' }) def test_should_return_information_in_ebxml_fault_returned_from_spine_in_original_post_request_to_client_when_sync_async_requested(self): """ Message ID: '7AA57E38-8B20-4AE0-9E73-B9B0C0C42BDA' configured in fakespine to return a ebxml Fault error. Error found here: fake_spine/fake_spine/configured_responses/ebxml_fault_single_error.xml """ # Arrange message, message_id = build_message('QUPC_IN160101UK05', '9689177923', message_id='7AA57E38-8B20-4AE0-9E73-B9B0C0C42BDA' ) # Act response = MhsHttpRequestBuilder() \ .with_headers(interaction_id='QUPC_IN160101UK05', message_id=message_id, sync_async=True) \ .with_body(message) \ .execute_post_expecting_error_response() # Assert TextErrorResponseAssertor(response.text) \ .assert_code_context('urn:oasis:names:tc:ebxml') \ .assert_severity('Error') \ .assert_error_type('ebxml_error') def test_should_record_message_status_when_ebxml_error_response_returned_from_spine_and_sync_async_requested(self): """ Message ID: '7AA57E38-8B20-4AE0-9E73-B9B0C0C42BDA' configured in fakespine to return a ebxml Fault error. Error found here: fake_spine/fake_spine/configured_responses/ebxml_fault_single_error.xml """ # Arrange message, message_id = build_message('QUPC_IN160101UK05', '9689177923', message_id='7AA57E38-8B20-4AE0-9E73-B9B0C0C42BDA' ) # Act MhsHttpRequestBuilder() \ .with_headers(interaction_id='QUPC_IN160101UK05', message_id=message_id, sync_async=True) \ .with_body(message) \ .execute_post_expecting_error_response() # Assert DynamoMhsTableStateAssertor(MHS_STATE_TABLE_DYNAMO_WRAPPER.get_all_records_in_table()) \ .assert_single_item_exists_with_key(message_id) \ .assert_item_contains_values( { 'INBOUND_STATUS': None, 'OUTBOUND_STATUS': 'OUTBOUND_SYNC_ASYNC_MESSAGE_SUCCESSFULLY_RESPONDED', 'WORKFLOW': 'sync-async' }) def test_should_return_bad_request_when_client_sends_invalid_message(self): # Arrange message, message_id = build_message('QUPC_IN160101UK05', '9689174606') # Act response = MhsHttpRequestBuilder() \ .with_headers(interaction_id='QUPC_IN160101UK05', message_id=message_id, sync_async=False) \ .with_body({'blah': '123'}) \ .execute_post_expecting_bad_request_response() # Assert self.assertEqual(response.text, "400: Invalid request. Validation errors: {'payload': ['Not a valid string.']}")

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py

Python

finitewave/cpuwave3D/fibrosis/__init__.py

ArsOkenov/Finitewave

14274d74be824a395b47a5c53ba18188798ab70d

[ "MIT" ]

null

finitewave/cpuwave3D/fibrosis/__init__.py

ArsOkenov/Finitewave

14274d74be824a395b47a5c53ba18188798ab70d

[ "MIT" ]

null

finitewave/cpuwave3D/fibrosis/__init__.py

ArsOkenov/Finitewave

14274d74be824a395b47a5c53ba18188798ab70d

[ "MIT" ]

null

from finitewave.cpuwave3D.fibrosis.diffuse_3d_pattern import Diffuse3DPattern from finitewave.cpuwave3D.fibrosis.structural_3d_pattern \ import Structural3DPattern

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Python

tests/scruples/demos/norms/test_app.py

allenai/scruples

9a43459c507e57d89ab8442a4f3985cedecb8710

[ "Apache-2.0" ]

29

2020-05-09T10:55:45.000Z

2022-03-28T16:18:02.000Z

tests/scruples/demos/norms/test_app.py

allenai/scruples

9a43459c507e57d89ab8442a4f3985cedecb8710

[ "Apache-2.0" ]

null

tests/scruples/demos/norms/test_app.py

allenai/scruples

9a43459c507e57d89ab8442a4f3985cedecb8710

[ "Apache-2.0" ]

6

2020-10-05T12:24:28.000Z

2021-12-06T19:51:06.000Z

"""Tests for scruples.demos.norms.app.""" import unittest import pytest from scruples import settings from scruples.demos.norms import app class AppTestCase(unittest.TestCase): """Test scruples.demos.norms.app.app.""" def setUp(self): # initialize the test client app.app.config['TESTING'] = True self.client = app.app.test_client() def test_home(self): response = self.client.get('/') self.assertEqual(response.status_code, 200) def test_predict_actions_throws_error_for_no_json(self): response = self.client.post('/api/actions/predict') self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'No JSON', 'message': 'Requests to this API endpoint must contain JSON.' } ]) def test_predict_actions_throws_error_for_non_list(self): # when the posted JSON is an object response = self.client.post('/api/actions/predict', json={'foo': 'bar'}) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'The request data must be an array of objects.' } ]) # when the posted JSON is a string response = self.client.post('/api/actions/predict', json='foo') self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'The request data must be an array of objects.' } ]) def test_predict_actions_throws_error_for_when_entries_are_not_objects(self): # when the posted JSON has null entries response = self.client.post('/api/actions/predict', json=[None]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'Each element of the data array must be an object.' } ]) response = self.client.post('/api/actions/predict', json=[ {'action1': 'foo', 'action2': 'bar'}, None ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'Each element of the data array must be an object.' } ]) # when the posted JSON has string entries response = self.client.post('/api/actions/predict', json=['foo']) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'Each element of the data array must be an object.' } ]) response = self.client.post('/api/actions/predict', json=[ {'action1': 'foo', 'action2': 'bar'}, 'foo' ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'Each element of the data array must be an object.' } ]) # when the posted JSON has array entries response = self.client.post('/api/actions/predict', json=[['foo']]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'Each element of the data array must be an object.' } ]) response = self.client.post('/api/actions/predict', json=[ {'action1': 'foo', 'action2': 'bar'}, ['foo'] ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'Each element of the data array must be an object.' } ]) def test_predict_actions_throws_error_for_missing_keys_in_object(self): # when action1 is missing in an object response = self.client.post('/api/actions/predict', json=[ {'action2': 'foo'} ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Missing Key', 'message': 'Each object must have an "action1" key.' } ]) # when action1 is missing in some objects response = self.client.post('/api/actions/predict', json=[ {'action1': 'foo', 'action2': 'bar'}, {'action2': 'foo'} ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Missing Key', 'message': 'Each object must have an "action1" key.' } ]) # when action2 is missing in an object response = self.client.post('/api/actions/predict', json=[ {'action1': 'foo'} ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Missing Key', 'message': 'Each object must have an "action2" key.' } ]) # when action2 is missing in some objects response = self.client.post('/api/actions/predict', json=[ {'action1': 'foo', 'action2': 'bar'}, {'action1': 'foo'} ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Missing Key', 'message': 'Each object must have an "action2" key.' } ]) def test_predict_actions_throws_error_on_non_string_values(self): # when action1 has a null, non-string value response = self.client.post('/api/actions/predict', json=[ {'action1': None, 'action2': 'bar'}, ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'The value corresponding to the "action1" key' ' must be a string.' } ]) # when action2 has a null, non-string value response = self.client.post('/api/actions/predict', json=[ {'action1': 'foo', 'action2': None}, ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'The value corresponding to the "action2" key' ' must be a string.' } ]) # when action1 has an integer, non-string value response = self.client.post('/api/actions/predict', json=[ {'action1': 1, 'action2': 'bar'}, ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'The value corresponding to the "action1" key' ' must be a string.' } ]) # when action2 has an integer, non-string value response = self.client.post('/api/actions/predict', json=[ {'action1': 'foo', 'action2': 5}, ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'The value corresponding to the "action2" key' ' must be a string.' } ]) def test_predict_actions_throws_error_for_unrecognized_keys(self): # when an object has an unrecognized key response = self.client.post('/api/actions/predict', json=[ {'action1': 'foo', 'action2': 'bar', 'baz': 'qux'} ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Unexpected Key', 'message': 'Each object must only have "action1" and "action2"' ' keys.' } ]) # when some objects have unrecognized keys response = self.client.post('/api/actions/predict', json=[ {'action1': 'foo', 'action2': 'bar'}, {'action1': 'foo', 'action2': 'bar', 'baz': 'qux'} ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Unexpected Key', 'message': 'Each object must only have "action1" and "action2"' ' keys.' } ]) def test_predict_actions_can_throw_multiple_errors(self): response = self.client.post('/api/actions/predict', json=[ {'action1': 'foo'}, {'action1': 'foo', 'action2': 'bar', 'baz': 'qux'} ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Missing Key', 'message': 'Each object must have an "action2" key.' }, { 'error': 'Unexpected Key', 'message': 'Each object must only have "action1" and "action2"' ' keys.' } ]) @pytest.mark.slow @pytest.mark.skipif( settings.NORMS_ACTIONS_BASELINE is None or settings.NORMS_ACTIONS_MODEL is None or settings.NORMS_PREDICT_BATCH_SIZE is None, reason='requires the norms demo environment variables.') def test_predict_actions_computes_action_prediction(self): response = self.client.post('/api/actions/predict', json=[ {'action1': 'foo', 'action2': 'bar'} ]) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.json), 1) self.assertEqual( set(response.json[0].keys()), set(['action1', 'action2'])) self.assertIsInstance(response.json[0]['action1'], float) self.assertIsInstance(response.json[0]['action2'], float) @pytest.mark.slow @pytest.mark.skipif( settings.NORMS_ACTIONS_BASELINE is None or settings.NORMS_ACTIONS_MODEL is None or settings.NORMS_PREDICT_BATCH_SIZE is None, reason='requires the norms demo environment variables.') def test_predict_actions_computes_plots(self): response = self.client.post('/api/actions/predict?plot=true', json=[ {'action1': 'foo', 'action2': 'bar'} ]) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.json), 1) self.assertEqual( set(response.json[0].keys()), set(['action1', 'action2', 'plot'])) self.assertIsInstance(response.json[0]['action1'], float) self.assertIsInstance(response.json[0]['action2'], float) self.assertIsInstance(response.json[0]['plot'], str) def test_predict_corpus_throws_error_for_no_json(self): response = self.client.post('/api/corpus/predict') self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'No JSON', 'message': 'Requests to this API endpoint must contain JSON.' } ]) def test_predict_corpus_throws_error_for_non_list(self): # when the posted JSON is an object response = self.client.post('/api/corpus/predict', json={'foo': 'bar'}) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'The request data must be an array of objects.' } ]) # when the posted JSON is a string response = self.client.post('/api/corpus/predict', json='foo') self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'The request data must be an array of objects.' } ]) def test_predict_corpus_throws_error_when_entries_are_not_objects(self): # when the posted JSON has null entries response = self.client.post('/api/corpus/predict', json=[None]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'Each element of the data array must be an object.' } ]) response = self.client.post('/api/corpus/predict', json=[ {'title': 'foo', 'text': 'bar'}, None ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'Each element of the data array must be an object.' } ]) # when the posted JSON has string entries response = self.client.post('/api/corpus/predict', json=['foo']) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'Each element of the data array must be an object.' } ]) response = self.client.post('/api/corpus/predict', json=[ {'title': 'foo', 'text': 'bar'}, 'foo' ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'Each element of the data array must be an object.' } ]) # when the posted JSON has array entries response = self.client.post('/api/corpus/predict', json=[['foo']]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'Each element of the data array must be an object.' } ]) response = self.client.post('/api/corpus/predict', json=[ {'title': 'foo', 'text': 'bar'}, ['foo'] ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'Each element of the data array must be an object.' } ]) def test_predict_corpus_throws_error_for_missing_keys_in_object(self): # when title is missing in an object response = self.client.post('/api/corpus/predict', json=[ {'text': 'foo'} ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Missing Key', 'message': 'Each object must have a "title" key.' } ]) # when title is missing in some objects response = self.client.post('/api/corpus/predict', json=[ {'title': 'foo', 'text': 'bar'}, {'text': 'foo'} ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Missing Key', 'message': 'Each object must have a "title" key.' } ]) # when text is missing in an object response = self.client.post('/api/corpus/predict', json=[ {'title': 'foo'} ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Missing Key', 'message': 'Each object must have a "text" key.' } ]) # when text is missing in some objects response = self.client.post('/api/corpus/predict', json=[ {'title': 'foo', 'text': 'bar'}, {'title': 'foo'} ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Missing Key', 'message': 'Each object must have a "text" key.' } ]) def test_predict_corpus_throws_error_on_non_string_values(self): # when title has a null, non-string value response = self.client.post('/api/corpus/predict', json=[ {'title': None, 'text': 'bar'}, ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'The value corresponding to the "title" key' ' must be a string.' } ]) # when text has a null, non-string value response = self.client.post('/api/corpus/predict', json=[ {'title': 'foo', 'text': None}, ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'The value corresponding to the "text" key' ' must be a string.' } ]) # when title has an integer, non-string value response = self.client.post('/api/corpus/predict', json=[ {'title': 1, 'text': 'bar'}, ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'The value corresponding to the "title" key' ' must be a string.' } ]) # when text has an integer, non-string value response = self.client.post('/api/corpus/predict', json=[ {'title': 'foo', 'text': 5}, ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Wrong Type', 'message': 'The value corresponding to the "text" key' ' must be a string.' } ]) def test_predict_corpus_throws_error_for_unrecognized_keys(self): # when an object has an unrecognized key response = self.client.post('/api/corpus/predict', json=[ {'title': 'foo', 'text': 'bar', 'baz': 'qux'} ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Unexpected Key', 'message': 'Each object must only have "title" and "text"' ' keys.' } ]) # when some objects have unrecognized keys response = self.client.post('/api/corpus/predict', json=[ {'title': 'foo', 'text': 'bar'}, {'title': 'foo', 'text': 'bar', 'baz': 'qux'} ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Unexpected Key', 'message': 'Each object must only have "title" and "text"' ' keys.' } ]) def test_predict_corpus_can_throw_multiple_errors(self): response = self.client.post('/api/corpus/predict', json=[ {'title': 'foo'}, {'title': 'foo', 'text': 'bar', 'baz': 'qux'} ]) self.assertEqual(response.status_code, 400) self.assertEqual(response.json, [ { 'error': 'Missing Key', 'message': 'Each object must have a "text" key.' }, { 'error': 'Unexpected Key', 'message': 'Each object must only have "title" and "text"' ' keys.' } ]) @pytest.mark.slow @pytest.mark.skipif( settings.NORMS_CORPUS_BASELINE is None or settings.NORMS_CORPUS_MODEL is None or settings.NORMS_PREDICT_BATCH_SIZE is None, reason='requires the norms demo environment variables.') def test_predict_corpus_computes_corpus_prediction(self): response = self.client.post('/api/corpus/predict', json=[ {'title': 'foo', 'text': 'bar'} ]) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.json), 1) self.assertEqual( set(response.json[0].keys()), set([ 'AUTHOR', 'OTHER', 'EVERYBODY', 'NOBODY', 'INFO' ])) self.assertIsInstance(response.json[0]['AUTHOR'], float) self.assertIsInstance(response.json[0]['OTHER'], float) self.assertIsInstance(response.json[0]['EVERYBODY'], float) self.assertIsInstance(response.json[0]['NOBODY'], float) self.assertIsInstance(response.json[0]['INFO'], float) @pytest.mark.slow @pytest.mark.skipif( settings.NORMS_CORPUS_BASELINE is None or settings.NORMS_CORPUS_MODEL is None or settings.NORMS_PREDICT_BATCH_SIZE is None, reason='requires the norms demo environment variables.') def test_predict_corpus_computes_plots(self): response = self.client.post('/api/corpus/predict?plot=true', json=[ {'title': 'foo', 'text': 'bar'} ]) self.assertEqual(response.status_code, 200) self.assertEqual(len(response.json), 1) self.assertEqual( set(response.json[0].keys()), set([ 'AUTHOR', 'OTHER', 'EVERYBODY', 'NOBODY', 'INFO', 'plot_author', 'plot_other' ])) self.assertIsInstance(response.json[0]['AUTHOR'], float) self.assertIsInstance(response.json[0]['OTHER'], float) self.assertIsInstance(response.json[0]['EVERYBODY'], float) self.assertIsInstance(response.json[0]['NOBODY'], float) self.assertIsInstance(response.json[0]['INFO'], float) self.assertIsInstance(response.json[0]['plot_author'], str) self.assertIsInstance(response.json[0]['plot_other'], str)

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81

0.532184

2,289

22,511

5.144605

0.05723

0.118461

0.166016

0.110819

0.962806

0.960768

0.946416

0.929857

0.912194

0.904127

0

0.015482

0.340056

22,511

606

82

37.146865

0.777194

0.056239

0

0.725379

0

0.233824

0.002782

0

0.208333

1

0.037879

false

0

0.007576

0

0.047348

0

null

0

1

0

1

0

null

0

7

99dcb45b42aa180b835d470038f78388a5660817

1,351

py

Python

tests/test_script_questions.py

qrkourier/milc

28bb8f5df201283cc61e87439944e2bf3ded147b

[ "X11" ]

19

2020-02-27T22:47:37.000Z

2021-09-03T03:27:21.000Z

tests/test_script_questions.py

qrkourier/milc

28bb8f5df201283cc61e87439944e2bf3ded147b

[ "X11" ]

27

2020-03-12T21:14:45.000Z

2022-03-31T20:29:32.000Z

tests/test_script_questions.py

qrkourier/milc

28bb8f5df201283cc61e87439944e2bf3ded147b

[ "X11" ]

10

2019-10-13T17:46:19.000Z

2022-03-31T18:21:13.000Z

from .common import check_assert, check_command, check_returncode def test_questions(): result = check_command('./questions') check_returncode(result) check_assert(result, 'User has chosen to stop.' in result.stdout) check_assert(result, 'User is stopping.' in result.stdout) check_assert(result, 'Interesting answer: None' in result.stdout) def test_questions_interactive(): result = check_command('./questions', '--interactive', input='y\n2\nbecause\n') check_returncode(result) check_assert(result, 'User has chosen to continue.' in result.stdout) check_assert(result, 'User is not stopping.' in result.stdout) check_assert(result, 'Interesting answer: because' in result.stdout) def test_questions_yes(): result = check_command('./questions', '--yes') check_returncode(result) check_assert(result, 'User has chosen to continue.' in result.stdout) check_assert(result, 'User is stopping.' in result.stdout) check_assert(result, 'Interesting answer: None' in result.stdout) def test_questions_no(): result = check_command('./questions', '--no') check_returncode(result) check_assert(result, 'User has chosen to stop.' in result.stdout) check_assert(result, 'User is stopping.' in result.stdout) check_assert(result, 'Interesting answer: None' in result.stdout)

39.735294

83

0.733531

177

1,351

5.429379

0.19209

0.148803

0.212279

0.174818

0.753382

0.722164

0.663892

0

0.000871

0.150259

1,351

33

84

40.939394

0.836237

0

0.56

0

0.263509

0

0.52

1

0.16

false

0

0.04

0

0.2

0

null

0

1

0

1

0

null

0

1

0

8

820bbda57042bf8bbd0241c3c1389798e699158e

56,207

py

Python

venv/lib/python3.8/site-packages/azureml/_restclient/operations/jasmine_operations.py

amcclead7336/Enterprise_Data_Science_Final

ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28

[ "Unlicense", "MIT" ]

null

venv/lib/python3.8/site-packages/azureml/_restclient/operations/jasmine_operations.py

amcclead7336/Enterprise_Data_Science_Final

ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28

[ "Unlicense", "MIT" ]

null

venv/lib/python3.8/site-packages/azureml/_restclient/operations/jasmine_operations.py

amcclead7336/Enterprise_Data_Science_Final

ccdc0aa08d4726bf82d71c11a1cc0c63eb301a28

[ "Unlicense", "MIT" ]

2

2021-05-23T16:46:31.000Z

2021-05-26T23:51:09.000Z

# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator 2.3.33.0 # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.pipeline import ClientRawResponse from .. import models class JasmineOperations(object): """JasmineOperations operations. :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. """ models = models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self.config = config def get_curated_environment( self, subscription_id, resource_group_name, workspace_name, experiment_id, auto_ml_curated_environment_input_dto=None, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param auto_ml_curated_environment_input_dto: :type auto_ml_curated_environment_input_dto: ~_restclient.models.AutoMLCuratedEnvInput :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: AutoMLCuratedEnvOutput or ClientRawResponse if raw=true :rtype: ~_restclient.models.AutoMLCuratedEnvOutput or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.get_curated_environment.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if auto_ml_curated_environment_input_dto is not None: body_content = self._serialize.body(auto_ml_curated_environment_input_dto, 'AutoMLCuratedEnvInput') else: body_content = None # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('AutoMLCuratedEnvOutput', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_curated_environment.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/getCuratedEnvironment'} def submit_remote_snapshot_run( self, subscription_id, resource_group_name, workspace_name, experiment_id, parent_run_id, run_definition=None, snapshot_id=None, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param parent_run_id: :type parent_run_id: str :param run_definition: :type run_definition: ~_restclient.models.RunDefinition :param snapshot_id: :type snapshot_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: StartRunResult or ClientRawResponse if raw=true :rtype: ~_restclient.models.StartRunResult or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.submit_remote_snapshot_run.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str'), 'parentRunId': self._serialize.url("parent_run_id", parent_run_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if snapshot_id is not None: query_parameters['snapshotId'] = self._serialize.query("snapshot_id", snapshot_id, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if run_definition is not None: body_content = self._serialize.body(run_definition, 'RunDefinition') else: body_content = None # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('StartRunResult', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized submit_remote_snapshot_run.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/runs/{parentRunId}/submitSnapshotRun'} def continue_run( self, subscription_id, resource_group_name, workspace_name, experiment_id, parent_run_id, updated_iterations=None, updated_time=-1, updated_exit_score=None, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param parent_run_id: :type parent_run_id: str :param updated_iterations: :type updated_iterations: int :param updated_time: :type updated_time: int :param updated_exit_score: :type updated_exit_score: float :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.continue_run.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str'), 'parentRunId': self._serialize.url("parent_run_id", parent_run_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if updated_iterations is not None: query_parameters['updatedIterations'] = self._serialize.query("updated_iterations", updated_iterations, 'int') if updated_time is not None: query_parameters['updatedTime'] = self._serialize.query("updated_time", updated_time, 'int') if updated_exit_score is not None: query_parameters['updatedExitScore'] = self._serialize.query("updated_exit_score", updated_exit_score, 'float') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response continue_run.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/runs/{parentrunId}/continueRun'} def create_parent_run_method( self, subscription_id, resource_group_name, workspace_name, experiment_id, create_parent_run_dto=None, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param create_parent_run_dto: :type create_parent_run_dto: ~_restclient.models.CreateParentRun :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: str or ClientRawResponse if raw=true :rtype: str or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.create_parent_run_method.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if create_parent_run_dto is not None: body_content = self._serialize.body(create_parent_run_dto, 'CreateParentRun') else: body_content = None # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('str', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized create_parent_run_method.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/run'} def local_run_get_next_task( self, subscription_id, resource_group_name, workspace_name, experiment_id, parent_run_id, start_child_run=None, local_run_get_next_task_input=None, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param parent_run_id: :type parent_run_id: str :param start_child_run: :type start_child_run: bool :param local_run_get_next_task_input: :type local_run_get_next_task_input: ~_restclient.models.LocalRunGetNextTaskInput :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: IterationTask or ClientRawResponse if raw=true :rtype: ~_restclient.models.IterationTask or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.local_run_get_next_task.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str'), 'parentRunId': self._serialize.url("parent_run_id", parent_run_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if start_child_run is not None: query_parameters['startChildRun'] = self._serialize.query("start_child_run", start_child_run, 'bool') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if local_run_get_next_task_input is not None: body_content = self._serialize.body(local_run_get_next_task_input, 'LocalRunGetNextTaskInput') else: body_content = None # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('IterationTask', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized local_run_get_next_task.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/runs/{parentRunId}/next'} def local_run_get_next_task_batch( self, subscription_id, resource_group_name, workspace_name, experiment_id, parent_run_id, start_child_runs=None, local_run_get_next_task_batch_input=None, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param parent_run_id: :type parent_run_id: str :param start_child_runs: :type start_child_runs: bool :param local_run_get_next_task_batch_input: :type local_run_get_next_task_batch_input: ~_restclient.models.LocalRunGetNextTaskBatchInput :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: BatchIterationTask or ClientRawResponse if raw=true :rtype: ~_restclient.models.BatchIterationTask or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.local_run_get_next_task_batch.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str'), 'parentRunId': self._serialize.url("parent_run_id", parent_run_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if start_child_runs is not None: query_parameters['startChildRuns'] = self._serialize.query("start_child_runs", start_child_runs, 'bool') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if local_run_get_next_task_batch_input is not None: body_content = self._serialize.body(local_run_get_next_task_batch_input, 'LocalRunGetNextTaskBatchInput') else: body_content = None # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('BatchIterationTask', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized local_run_get_next_task_batch.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/runs/{parentRunId}/next_task_batch'} def get_pipeline( self, subscription_id, resource_group_name, workspace_name, experiment_id, parent_run_id, worker_id, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param parent_run_id: :type parent_run_id: str :param worker_id: :type worker_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: IterationTask or ClientRawResponse if raw=true :rtype: ~_restclient.models.IterationTask or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.get_pipeline.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str'), 'parentRunId': self._serialize.url("parent_run_id", parent_run_id, 'str'), 'workerId': self._serialize.url("worker_id", worker_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('IterationTask', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_pipeline.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/runs/{parentRunId}/workers/{workerId}'} def change_run_status( self, subscription_id, resource_group_name, workspace_name, experiment_id, run_id, target_status, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param run_id: :type run_id: str :param target_status: :type target_status: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.change_run_status.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str'), 'runId': self._serialize.url("run_id", run_id, 'str'), 'targetStatus': self._serialize.url("target_status", target_status, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response change_run_status.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/runs/{runId}/changerunstatus/{targetStatus}'} def cancel_run( self, subscription_id, resource_group_name, workspace_name, experiment_id, run_id, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param run_id: :type run_id: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: None or ClientRawResponse if raw=true :rtype: None or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.cancel_run.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str'), 'runId': self._serialize.url("run_id", run_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send(request, header_parameters, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) if raw: client_raw_response = ClientRawResponse(None, response) return client_raw_response cancel_run.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/cancelrun/{runId}'} def get_feature_profiles( self, subscription_id, resource_group_name, workspace_name, experiment_id, run_id, feature_profile_input_dto=None, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param run_id: :type run_id: str :param feature_profile_input_dto: :type feature_profile_input_dto: ~_restclient.models.FeatureProfileInput :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: FeatureProfileOutput or ClientRawResponse if raw=true :rtype: ~_restclient.models.FeatureProfileOutput or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.get_feature_profiles.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str'), 'runId': self._serialize.url("run_id", run_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if feature_profile_input_dto is not None: body_content = self._serialize.body(feature_profile_input_dto, 'FeatureProfileInput') else: body_content = None # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('FeatureProfileOutput', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized get_feature_profiles.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/featureprofiles/{runId}'} def on_demand_model_explain( self, subscription_id, resource_group_name, workspace_name, experiment_id, run_id, model_explain_dto=None, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param run_id: :type run_id: str :param model_explain_dto: :type model_explain_dto: ~_restclient.models.ModelExplain :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: str or ClientRawResponse if raw=true :rtype: str or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.on_demand_model_explain.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str'), 'runId': self._serialize.url("run_id", run_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if model_explain_dto is not None: body_content = self._serialize.body(model_explain_dto, 'ModelExplain') else: body_content = None # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('str', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized on_demand_model_explain.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/modelexplain/{runId}'} def on_demand_model_test( self, subscription_id, resource_group_name, workspace_name, experiment_id, run_id, model_test_dto=None, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param run_id: :type run_id: str :param model_test_dto: :type model_test_dto: ~_restclient.models.ModelTest :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: str or ClientRawResponse if raw=true :rtype: str or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.on_demand_model_test.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str'), 'runId': self._serialize.url("run_id", run_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if model_test_dto is not None: body_content = self._serialize.body(model_test_dto, 'ModelTest') else: body_content = None # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('str', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized on_demand_model_test.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/modeltest/{runId}'} def notebook_gen_method( self, subscription_id, resource_group_name, workspace_name, experiment_id, run_id, notebook_gen_dto=None, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param run_id: :type run_id: str :param notebook_gen_dto: :type notebook_gen_dto: ~_restclient.models.NotebookGen :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: str or ClientRawResponse if raw=true :rtype: str or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.notebook_gen_method.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str'), 'runId': self._serialize.url("run_id", run_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if notebook_gen_dto is not None: body_content = self._serialize.body(notebook_gen_dto, 'NotebookGen') else: body_content = None # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('str', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized notebook_gen_method.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/notebookgen/{runId}'} def create_job( self, subscription_id, resource_group_name, workspace_name, experiment_id, create_auto_ml_job_input_dto=None, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param create_auto_ml_job_input_dto: :type create_auto_ml_job_input_dto: ~_restclient.models.CreateAutoMLJobInput :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: CreateAutoMLJobOutput or ClientRawResponse if raw=true :rtype: ~_restclient.models.CreateAutoMLJobOutput or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.create_job.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body if create_auto_ml_job_input_dto is not None: body_content = self._serialize.body(create_auto_ml_job_input_dto, 'CreateAutoMLJobInput') else: body_content = None # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('CreateAutoMLJobOutput', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized create_job.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/jobs/create'} def validate_run_input( self, subscription_id, resource_group_name, workspace_name, experiment_id, create_parent_run_dto, maximum_severity=2, flight="Prod", custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param create_parent_run_dto: :type create_parent_run_dto: ~_restclient.models.CreateParentRun :param maximum_severity: :type maximum_severity: int :param flight: Possible values include: 'Prod', 'Test' :type flight: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: ErrorResponse or ClientRawResponse if raw=true :rtype: ~_restclient.models.ErrorResponse or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.validate_run_input.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if maximum_severity is not None: query_parameters['maximumSeverity'] = self._serialize.query("maximum_severity", maximum_severity, 'int') if flight is not None: query_parameters['flight'] = self._serialize.query("flight", flight, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(create_parent_run_dto, 'CreateParentRun') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200, 204]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ErrorResponse', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized validate_run_input.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/validation'} def validate_many_models_run_input( self, subscription_id, resource_group_name, workspace_name, experiment_id, many_models_input_dto, experiment_name=None, custom_headers=None, raw=False, **operation_config): """ :param subscription_id: The Azure Subscription ID. :type subscription_id: str :param resource_group_name: The Name of the resource group in which the workspace is located. :type resource_group_name: str :param workspace_name: The name of the workspace. :type workspace_name: str :param experiment_id: Experiment Id. :type experiment_id: str :param many_models_input_dto: :type many_models_input_dto: ~_restclient.models.ManyModelsRunValidationInput :param experiment_name: :type experiment_name: str :param dict custom_headers: headers that will be added to the request :param bool raw: returns the direct response alongside the deserialized response :param operation_config: :ref:`Operation configuration overrides<msrest:optionsforoperations>`. :return: ManyModelsRunValidationOutput or ClientRawResponse if raw=true :rtype: ~_restclient.models.ManyModelsRunValidationOutput or ~msrest.pipeline.ClientRawResponse :raises: :class:`ErrorResponseException<_restclient.models.ErrorResponseException>` """ # Construct URL url = self.validate_many_models_run_input.metadata['url'] path_format_arguments = { 'subscriptionId': self._serialize.url("subscription_id", subscription_id, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'workspaceName': self._serialize.url("workspace_name", workspace_name, 'str'), 'experimentId': self._serialize.url("experiment_id", experiment_id, 'str') } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} if experiment_name is not None: query_parameters['experimentName'] = self._serialize.query("experiment_name", experiment_name, 'str') # Construct headers header_parameters = {} header_parameters['Content-Type'] = 'application/json; charset=utf-8' if custom_headers: header_parameters.update(custom_headers) # Construct body body_content = self._serialize.body(many_models_input_dto, 'ManyModelsRunValidationInput') # Construct and send request request = self._client.post(url, query_parameters) response = self._client.send( request, header_parameters, body_content, stream=False, **operation_config) if response.status_code not in [200]: raise models.ErrorResponseException(self._deserialize, response) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ManyModelsRunValidationOutput', response) if raw: client_raw_response = ClientRawResponse(deserialized, response) return client_raw_response return deserialized validate_many_models_run_input.metadata = {'url': '/jasmine/v1.0/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.MachineLearningServices/workspaces/{workspaceName}/experimentids/{experimentId}/validateManyModelsRun'}

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null

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0

7

41377d30ca1c4f8f04ab87fcf58215cc14e869c1

2,902

py

Python

alpyro_msgs/nav_msgs/getmapaction.py

rho2/alpyro_msgs

b5a680976c40c83df70d61bb2db1de32a1cde8d3

[ "MIT" ]

1

2020-12-13T13:07:10.000Z

alpyro_msgs/nav_msgs/getmapaction.py

rho2/alpyro_msgs

b5a680976c40c83df70d61bb2db1de32a1cde8d3

[ "MIT" ]

null

alpyro_msgs/nav_msgs/getmapaction.py

rho2/alpyro_msgs

b5a680976c40c83df70d61bb2db1de32a1cde8d3

[ "MIT" ]

null

from typing import List from typing_extensions import Annotated from typing import Final from alpyro_msgs import RosMessage from alpyro_msgs.nav_msgs.getmapactionfeedback import GetMapActionFeedback from alpyro_msgs.nav_msgs.getmapactiongoal import GetMapActionGoal from alpyro_msgs.nav_msgs.getmapactionresult import GetMapActionResult class GetMapAction(RosMessage): __msg_typ__ = "nav_msgs/GetMapAction" __msg_def__ = "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" __md5_sum__ = "e611ad23fbf237c031b7536416dc7cd7" action_goal: GetMapActionGoal action_result: GetMapActionResult action_feedback: GetMapActionFeedback

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2,330

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65

2,902

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0.415385

0.014327

0.020057

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0

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0.020675

2,902

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0.894792

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1

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false

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0

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0

1

null

1

0

1

0

1

0

8

415d0db542cf80f65110ac1b85286e4f21862382

13,979

py

Python

extensions/.stubs/clrclasses/System/Runtime/InteropServices/__init__.py

vicwjb/Pycad

7391cd694b7a91ad9f9964ec95833c1081bc1f84

[ "MIT" ]

1

2020-03-25T03:27:24.000Z

extensions/.stubs/clrclasses/System/Runtime/InteropServices/__init__.py

vicwjb/Pycad

7391cd694b7a91ad9f9964ec95833c1081bc1f84

[ "MIT" ]

null

extensions/.stubs/clrclasses/System/Runtime/InteropServices/__init__.py

vicwjb/Pycad

7391cd694b7a91ad9f9964ec95833c1081bc1f84

[ "MIT" ]

null

import __clrclasses__.System.Runtime.InteropServices.WindowsRuntime as WindowsRuntime import __clrclasses__.System.Runtime.InteropServices.Expando as Expando import __clrclasses__.System.Runtime.InteropServices.ComTypes as ComTypes from __clrclasses__.System.Runtime.InteropServices import _Activator from __clrclasses__.System.Runtime.InteropServices import _Assembly from __clrclasses__.System.Runtime.InteropServices import _AssemblyBuilder from __clrclasses__.System.Runtime.InteropServices import _AssemblyName from __clrclasses__.System.Runtime.InteropServices import _Attribute from __clrclasses__.System.Runtime.InteropServices import _ConstructorBuilder from __clrclasses__.System.Runtime.InteropServices import _ConstructorInfo from __clrclasses__.System.Runtime.InteropServices import _CustomAttributeBuilder from __clrclasses__.System.Runtime.InteropServices import _EnumBuilder from __clrclasses__.System.Runtime.InteropServices import _EventBuilder from __clrclasses__.System.Runtime.InteropServices import _EventInfo from __clrclasses__.System.Runtime.InteropServices import _Exception from __clrclasses__.System.Runtime.InteropServices import _FieldBuilder from __clrclasses__.System.Runtime.InteropServices import _FieldInfo from __clrclasses__.System.Runtime.InteropServices import _ILGenerator from __clrclasses__.System.Runtime.InteropServices import _LocalBuilder from __clrclasses__.System.Runtime.InteropServices import _MemberInfo from __clrclasses__.System.Runtime.InteropServices import _MethodBase from __clrclasses__.System.Runtime.InteropServices import _MethodBuilder from __clrclasses__.System.Runtime.InteropServices import _MethodInfo from __clrclasses__.System.Runtime.InteropServices import _MethodRental from __clrclasses__.System.Runtime.InteropServices import _Module from __clrclasses__.System.Runtime.InteropServices import _ModuleBuilder from __clrclasses__.System.Runtime.InteropServices import _ParameterBuilder from __clrclasses__.System.Runtime.InteropServices import _ParameterInfo from __clrclasses__.System.Runtime.InteropServices import _PropertyBuilder from __clrclasses__.System.Runtime.InteropServices import _PropertyInfo from __clrclasses__.System.Runtime.InteropServices import _SignatureHelper from __clrclasses__.System.Runtime.InteropServices import _Thread from __clrclasses__.System.Runtime.InteropServices import _Type from __clrclasses__.System.Runtime.InteropServices import _TypeBuilder from __clrclasses__.System.Runtime.InteropServices import AllowReversePInvokeCallsAttribute from __clrclasses__.System.Runtime.InteropServices import Architecture from __clrclasses__.System.Runtime.InteropServices import ArrayWithOffset from __clrclasses__.System.Runtime.InteropServices import AssemblyRegistrationFlags from __clrclasses__.System.Runtime.InteropServices import AutomationProxyAttribute from __clrclasses__.System.Runtime.InteropServices import BestFitMappingAttribute from __clrclasses__.System.Runtime.InteropServices import BIND_OPTS from __clrclasses__.System.Runtime.InteropServices import BINDPTR from __clrclasses__.System.Runtime.InteropServices import BStrWrapper from __clrclasses__.System.Runtime.InteropServices import CALLCONV from __clrclasses__.System.Runtime.InteropServices import CallingConvention from __clrclasses__.System.Runtime.InteropServices import CharSet from __clrclasses__.System.Runtime.InteropServices import ClassInterfaceAttribute from __clrclasses__.System.Runtime.InteropServices import ClassInterfaceType from __clrclasses__.System.Runtime.InteropServices import CoClassAttribute from __clrclasses__.System.Runtime.InteropServices import ComAliasNameAttribute from __clrclasses__.System.Runtime.InteropServices import ComAwareEventInfo from __clrclasses__.System.Runtime.InteropServices import ComCompatibleVersionAttribute from __clrclasses__.System.Runtime.InteropServices import ComConversionLossAttribute from __clrclasses__.System.Runtime.InteropServices import ComDefaultInterfaceAttribute from __clrclasses__.System.Runtime.InteropServices import ComEventInterfaceAttribute from __clrclasses__.System.Runtime.InteropServices import ComEventsHelper from __clrclasses__.System.Runtime.InteropServices import COMException from __clrclasses__.System.Runtime.InteropServices import ComImportAttribute from __clrclasses__.System.Runtime.InteropServices import ComInterfaceType from __clrclasses__.System.Runtime.InteropServices import ComMemberType from __clrclasses__.System.Runtime.InteropServices import ComRegisterFunctionAttribute from __clrclasses__.System.Runtime.InteropServices import ComSourceInterfacesAttribute from __clrclasses__.System.Runtime.InteropServices import ComUnregisterFunctionAttribute from __clrclasses__.System.Runtime.InteropServices import ComVisibleAttribute from __clrclasses__.System.Runtime.InteropServices import CONNECTDATA from __clrclasses__.System.Runtime.InteropServices import CriticalHandle from __clrclasses__.System.Runtime.InteropServices import CurrencyWrapper from __clrclasses__.System.Runtime.InteropServices import CustomQueryInterfaceMode from __clrclasses__.System.Runtime.InteropServices import CustomQueryInterfaceResult from __clrclasses__.System.Runtime.InteropServices import DefaultCharSetAttribute from __clrclasses__.System.Runtime.InteropServices import DefaultDllImportSearchPathsAttribute from __clrclasses__.System.Runtime.InteropServices import DefaultParameterValueAttribute from __clrclasses__.System.Runtime.InteropServices import DESCKIND from __clrclasses__.System.Runtime.InteropServices import DispatchWrapper from __clrclasses__.System.Runtime.InteropServices import DispIdAttribute from __clrclasses__.System.Runtime.InteropServices import DISPPARAMS from __clrclasses__.System.Runtime.InteropServices import DllImportAttribute from __clrclasses__.System.Runtime.InteropServices import DllImportSearchPath from __clrclasses__.System.Runtime.InteropServices import ELEMDESC from __clrclasses__.System.Runtime.InteropServices import ErrorWrapper from __clrclasses__.System.Runtime.InteropServices import EXCEPINFO from __clrclasses__.System.Runtime.InteropServices import ExporterEventKind from __clrclasses__.System.Runtime.InteropServices import ExtensibleClassFactory from __clrclasses__.System.Runtime.InteropServices import ExternalException from __clrclasses__.System.Runtime.InteropServices import FieldOffsetAttribute from __clrclasses__.System.Runtime.InteropServices import FILETIME from __clrclasses__.System.Runtime.InteropServices import FUNCDESC from __clrclasses__.System.Runtime.InteropServices import FUNCFLAGS from __clrclasses__.System.Runtime.InteropServices import FUNCKIND from __clrclasses__.System.Runtime.InteropServices import GCHandle from __clrclasses__.System.Runtime.InteropServices import GCHandleType from __clrclasses__.System.Runtime.InteropServices import GuidAttribute from __clrclasses__.System.Runtime.InteropServices import HandleCollector from __clrclasses__.System.Runtime.InteropServices import HandleRef from __clrclasses__.System.Runtime.InteropServices import ICustomAdapter from __clrclasses__.System.Runtime.InteropServices import ICustomFactory from __clrclasses__.System.Runtime.InteropServices import ICustomMarshaler from __clrclasses__.System.Runtime.InteropServices import ICustomQueryInterface from __clrclasses__.System.Runtime.InteropServices import IDispatchImplAttribute from __clrclasses__.System.Runtime.InteropServices import IDispatchImplType from __clrclasses__.System.Runtime.InteropServices import IDLDESC from __clrclasses__.System.Runtime.InteropServices import IDLFLAG from __clrclasses__.System.Runtime.InteropServices import IMPLTYPEFLAGS from __clrclasses__.System.Runtime.InteropServices import ImportedFromTypeLibAttribute from __clrclasses__.System.Runtime.InteropServices import ImporterEventKind from __clrclasses__.System.Runtime.InteropServices import InAttribute from __clrclasses__.System.Runtime.InteropServices import InterfaceTypeAttribute from __clrclasses__.System.Runtime.InteropServices import InvalidComObjectException from __clrclasses__.System.Runtime.InteropServices import InvalidOleVariantTypeException from __clrclasses__.System.Runtime.InteropServices import INVOKEKIND from __clrclasses__.System.Runtime.InteropServices import IRegistrationServices from __clrclasses__.System.Runtime.InteropServices import ITypeLibConverter from __clrclasses__.System.Runtime.InteropServices import ITypeLibExporterNameProvider from __clrclasses__.System.Runtime.InteropServices import ITypeLibExporterNotifySink from __clrclasses__.System.Runtime.InteropServices import ITypeLibImporterNotifySink from __clrclasses__.System.Runtime.InteropServices import LayoutKind from __clrclasses__.System.Runtime.InteropServices import LCIDConversionAttribute from __clrclasses__.System.Runtime.InteropServices import LIBFLAGS from __clrclasses__.System.Runtime.InteropServices import ManagedToNativeComInteropStubAttribute from __clrclasses__.System.Runtime.InteropServices import Marshal from __clrclasses__.System.Runtime.InteropServices import MarshalAsAttribute from __clrclasses__.System.Runtime.InteropServices import MarshalDirectiveException from __clrclasses__.System.Runtime.InteropServices import ObjectCreationDelegate from __clrclasses__.System.Runtime.InteropServices import OptionalAttribute from __clrclasses__.System.Runtime.InteropServices import OSPlatform from __clrclasses__.System.Runtime.InteropServices import OutAttribute from __clrclasses__.System.Runtime.InteropServices import PARAMDESC from __clrclasses__.System.Runtime.InteropServices import PARAMFLAG from __clrclasses__.System.Runtime.InteropServices import PreserveSigAttribute from __clrclasses__.System.Runtime.InteropServices import PrimaryInteropAssemblyAttribute from __clrclasses__.System.Runtime.InteropServices import ProgIdAttribute from __clrclasses__.System.Runtime.InteropServices import RegistrationClassContext from __clrclasses__.System.Runtime.InteropServices import RegistrationConnectionType from __clrclasses__.System.Runtime.InteropServices import RegistrationServices from __clrclasses__.System.Runtime.InteropServices import RuntimeEnvironment from __clrclasses__.System.Runtime.InteropServices import RuntimeInformation from __clrclasses__.System.Runtime.InteropServices import SafeArrayRankMismatchException from __clrclasses__.System.Runtime.InteropServices import SafeArrayTypeMismatchException from __clrclasses__.System.Runtime.InteropServices import SafeBuffer from __clrclasses__.System.Runtime.InteropServices import SafeHandle from __clrclasses__.System.Runtime.InteropServices import SEHException from __clrclasses__.System.Runtime.InteropServices import SetWin32ContextInIDispatchAttribute from __clrclasses__.System.Runtime.InteropServices import StandardOleMarshalObject from __clrclasses__.System.Runtime.InteropServices import STATSTG from __clrclasses__.System.Runtime.InteropServices import StructLayoutAttribute from __clrclasses__.System.Runtime.InteropServices import SYSKIND from __clrclasses__.System.Runtime.InteropServices import TYPEATTR from __clrclasses__.System.Runtime.InteropServices import TYPEDESC from __clrclasses__.System.Runtime.InteropServices import TYPEFLAGS from __clrclasses__.System.Runtime.InteropServices import TypeIdentifierAttribute from __clrclasses__.System.Runtime.InteropServices import TYPEKIND from __clrclasses__.System.Runtime.InteropServices import TYPELIBATTR from __clrclasses__.System.Runtime.InteropServices import TypeLibConverter from __clrclasses__.System.Runtime.InteropServices import TypeLibExporterFlags from __clrclasses__.System.Runtime.InteropServices import TypeLibFuncAttribute from __clrclasses__.System.Runtime.InteropServices import TypeLibFuncFlags from __clrclasses__.System.Runtime.InteropServices import TypeLibImportClassAttribute from __clrclasses__.System.Runtime.InteropServices import TypeLibImporterFlags from __clrclasses__.System.Runtime.InteropServices import TypeLibTypeAttribute from __clrclasses__.System.Runtime.InteropServices import TypeLibTypeFlags from __clrclasses__.System.Runtime.InteropServices import TypeLibVarAttribute from __clrclasses__.System.Runtime.InteropServices import TypeLibVarFlags from __clrclasses__.System.Runtime.InteropServices import TypeLibVersionAttribute from __clrclasses__.System.Runtime.InteropServices import UCOMIBindCtx from __clrclasses__.System.Runtime.InteropServices import UCOMIConnectionPoint from __clrclasses__.System.Runtime.InteropServices import UCOMIConnectionPointContainer from __clrclasses__.System.Runtime.InteropServices import UCOMIEnumConnectionPoints from __clrclasses__.System.Runtime.InteropServices import UCOMIEnumConnections from __clrclasses__.System.Runtime.InteropServices import UCOMIEnumMoniker from __clrclasses__.System.Runtime.InteropServices import UCOMIEnumString from __clrclasses__.System.Runtime.InteropServices import UCOMIEnumVARIANT from __clrclasses__.System.Runtime.InteropServices import UCOMIMoniker from __clrclasses__.System.Runtime.InteropServices import UCOMIPersistFile from __clrclasses__.System.Runtime.InteropServices import UCOMIRunningObjectTable from __clrclasses__.System.Runtime.InteropServices import UCOMIStream from __clrclasses__.System.Runtime.InteropServices import UCOMITypeComp from __clrclasses__.System.Runtime.InteropServices import UCOMITypeInfo from __clrclasses__.System.Runtime.InteropServices import UCOMITypeLib from __clrclasses__.System.Runtime.InteropServices import UnknownWrapper from __clrclasses__.System.Runtime.InteropServices import UnmanagedFunctionPointerAttribute from __clrclasses__.System.Runtime.InteropServices import UnmanagedType from __clrclasses__.System.Runtime.InteropServices import VARDESC from __clrclasses__.System.Runtime.InteropServices import VarEnum from __clrclasses__.System.Runtime.InteropServices import VARFLAGS from __clrclasses__.System.Runtime.InteropServices import VariantWrapper

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Python

uwhpsc/2013/solutions/homework2/hw2b.py

philipwangdk/HPC

e2937016821701adb80ece5bf65d43d1860640c0

[ "MIT" ]

null

uwhpsc/2013/solutions/homework2/hw2b.py

philipwangdk/HPC

e2937016821701adb80ece5bf65d43d1860640c0

[ "MIT" ]

null

uwhpsc/2013/solutions/homework2/hw2b.py

philipwangdk/HPC

e2937016821701adb80ece5bf65d43d1860640c0

[ "MIT" ]

null

""" Demonstration module for quadratic interpolation. Sample solutions for Homework 2 problems #2 through #7. """ import numpy as np import matplotlib.pyplot as plt from numpy.linalg import solve def quad_interp(xi,yi): """ Quadratic interpolation. Compute the coefficients of the polynomial interpolating the points (xi[i],yi[i]) for i = 0,1,2. Returns c, an array containing the coefficients of p(x) = c[0] + c[1]*x + c[2]*x**2. """ # check inputs and print error message if not valid: error_message = "xi and yi should have type numpy.ndarray" assert (type(xi) is np.ndarray) and (type(yi) is np.ndarray), error_message error_message = "xi and yi should have length 3" assert len(xi)==3 and len(yi)==3, error_message # Set up linear system to interpolate through data points: A = np.vstack([np.ones(3), xi, xi**2]).T c = solve(A,yi) return c def plot_quad(xi, yi): """ Perform quadratic interpolation and plot the resulting function along with the data points. """ # Compute the coefficients: c = quad_interp(xi,yi) # Plot the resulting polynomial: x = np.linspace(xi.min() - 1, xi.max() + 1, 1000) y = c[0] + c[1]*x + c[2]*x**2 plt.figure(1) # open plot figure window plt.clf() # clear figure plt.plot(x,y,'b-') # connect points with a blue line # Add data points (polynomial should go through these points!) plt.plot(xi,yi,'ro') # plot as red circles plt.ylim(-2,8) # set limits in y for plot plt.title("Data points and interpolating polynomial") plt.savefig('quadratic.png') # save figure as .png file def cubic_interp(xi,yi): """ Cubic interpolation. Compute the coefficients of the polynomial interpolating the points (xi[i],yi[i]) for i = 0,1,2,3 Returns c, an array containing the coefficients of p(x) = c[0] + c[1]*x + c[2]*x**2 + c[3]*x**3. """ # check inputs and print error message if not valid: error_message = "xi and yi should have type numpy.ndarray" assert (type(xi) is np.ndarray) and (type(yi) is np.ndarray), error_message error_message = "xi and yi should have length 4" assert len(xi)==4 and len(yi)==4, error_message # Set up linear system to interpolate through data points: A = np.vstack([np.ones(4), xi, xi**2, xi**3]).T c = solve(A,yi) return c def plot_cubic(xi, yi): """ Perform cubic interpolation and plot the resulting function along with the data points. """ # Compute the coefficients: c = cubic_interp(xi,yi) # Plot the resulting polynomial: x = np.linspace(xi.min() - 1, xi.max() + 1, 1000) y = c[0] + c[1]*x + c[2]*x**2 + c[3]*x**3 plt.figure(1) # open plot figure window plt.clf() # clear figure plt.plot(x,y,'b-') # connect points with a blue line # Add data points (polynomial should go through these points!) plt.plot(xi,yi,'ro') # plot as red circles plt.ylim(-2,8) # set limits in y for plot plt.title("Data points and interpolating polynomial") plt.savefig('cubic.png') # save figure as .png file def poly_interp(xi,yi): """ General polynomial interpolation. Compute the coefficients of the polynomial interpolating the points (xi[i],yi[i]) for i = 0,1,2,...,n-1 where n = len(xi) = len(yi). Returns c, an array containing the coefficients of p(x) = c[0] + c[1]*x + c[2]*x**2 + ... + c[N-1]*x**(N-1). """ # check inputs and print error message if not valid: error_message = "xi and yi should have type numpy.ndarray" assert (type(xi) is np.ndarray) and (type(yi) is np.ndarray), error_message error_message = "xi and yi should have the same length " assert len(xi)==len(yi), error_message # Set up linear system to interpolate through data points: # Uses a list comprehension, see # http://docs.python.org/2/tutorial/datastructures.html#list-comprehensions n = len(xi) A = np.vstack([xi**j for j in range(n)]).T c = solve(A,yi) return c def plot_poly(xi, yi): """ Perform polynomial interpolation and plot the resulting function along with the data points. """ # Compute the coefficients: c = poly_interp(xi,yi) # Plot the resulting polynomial: x = np.linspace(xi.min() - 1, xi.max() + 1, 1000) # Use Horner's rule: n = len(xi) y = c[n-1] for j in range(n-1, 0, -1): y = y*x + c[j-1] plt.figure(1) # open plot figure window plt.clf() # clear figure plt.plot(x,y,'b-') # connect points with a blue line # Add data points (polynomial should go through these points!) plt.plot(xi,yi,'ro') # plot as red circles plt.ylim(yi.min()-1, yi.max()+1) # set limits in y for plot plt.title("Data points and interpolating polynomial") plt.savefig('poly.png') # save figure as .png file def test_quad1(): """ Test code, no return value or exception if test runs properly. """ xi = np.array([-1., 0., 2.]) yi = np.array([ 1., -1., 7.]) c = quad_interp(xi,yi) c_true = np.array([-1., 0., 2.]) print "c = ", c print "c_true = ", c_true # test that all elements have small error: assert np.allclose(c, c_true), \ "Incorrect result, c = %s, Expected: c = %s" % (c,c_true) # Also produce plot: plot_quad(xi,yi) def test_quad2(): """ Test code, no return value or exception if test runs properly. """ # Generate a test by specifying c_true first: c_true = np.array([7., 2., -3.]) # Points to interpolate: xi = np.array([-1., 0., 2.]) # Function values to interpolate: yi = c_true[0] + c_true[1]*xi + c_true[2]*xi**2 # Now interpolate and check we get c_true back again. c = quad_interp(xi,yi) print "c = ", c print "c_true = ", c_true # test that all elements have small error: assert np.allclose(c, c_true), \ "Incorrect result, c = %s, Expected: c = %s" % (c,c_true) # Also produce plot: plot_quad(xi,yi) def test_cubic1(): """ Test code, no return value or exception if test runs properly. """ # Generate a test by specifying c_true first: c_true = np.array([7., -2., -3., 1.]) # Points to interpolate: xi = np.array([-1., 0., 1., 2.]) # Function values to interpolate: yi = c_true[0] + c_true[1]*xi + c_true[2]*xi**2 + c_true[3]*xi**3 # Now interpolate and check we get c_true back again. c = cubic_interp(xi,yi) print "c = ", c print "c_true = ", c_true # test that all elements have small error: assert np.allclose(c, c_true), \ "Incorrect result, c = %s, Expected: c = %s" % (c,c_true) # Also produce plot: plot_cubic(xi,yi) def test_poly1(): """ Test code, no return value or exception if test runs properly. Same points as test_cubic1. """ # Generate a test by specifying c_true first: c_true = np.array([7., -2., -3., 1.]) # Points to interpolate: xi = np.array([-1., 0., 1., 2.]) # Function values to interpolate: # Use Horner's rule: n = len(xi) yi = c_true[n-1] for j in range(n-1, 0, -1): yi = yi*xi + c_true[j-1] # Now interpolate and check we get c_true back again. c = poly_interp(xi,yi) print "c = ", c print "c_true = ", c_true # test that all elements have small error: assert np.allclose(c, c_true), \ "Incorrect result, c = %s, Expected: c = %s" % (c,c_true) # Also produce plot: plot_poly(xi,yi) def test_poly2(): """ Test code, no return value or exception if test runs properly. Test with 5 points (quartic interpolating function). """ # Generate a test by specifying c_true first: c_true = np.array([0., -6., 11., -6., 1.]) # Points to interpolate: xi = np.array([-1., 0., 1., 2., 4.]) # Function values to interpolate: # Use Horner's rule: n = len(xi) yi = c_true[n-1] for j in range(n-1, 0, -1): yi = yi*xi + c_true[j-1] # Now interpolate and check we get c_true back again. c = poly_interp(xi,yi) print "c = ", c print "c_true = ", c_true # test that all elements have small error: assert np.allclose(c, c_true), \ "Incorrect result, c = %s, Expected: c = %s" % (c,c_true) # Also produce plot: plot_poly(xi,yi) if __name__=="__main__": print "Running test..." test_quad1() test_quad2() test_cubic1() test_poly1() test_poly2()

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