xszheng2020/the_stack_dedup_python_hits_5 · Datasets at Hugging Face

36a3a7ac8442bd11734a2b74a2d3ed6bef5724c9

9,534

py

Python

leetcode_python/Binary_Search_Tree/lowest-common-ancestor-of-a-binary-search-tree.py

yennanliu/CS_basics

3c50c819897a572ff38179bfb0083a19b2325fde

[ "Unlicense" ]

18

2019-08-01T07:45:02.000Z

2022-03-31T18:05:44.000Z

leetcode_python/Binary_Search_Tree/lowest-common-ancestor-of-a-binary-search-tree.py

yennanliu/CS_basics

3c50c819897a572ff38179bfb0083a19b2325fde

[ "Unlicense" ]

null

leetcode_python/Binary_Search_Tree/lowest-common-ancestor-of-a-binary-search-tree.py

yennanliu/CS_basics

3c50c819897a572ff38179bfb0083a19b2325fde

[ "Unlicense" ]

15

2019-12-29T08:46:20.000Z

2022-03-08T14:14:05.000Z

""" Given a binary search tree (BST), find the lowest common ancestor (LCA) of two given nodes in the BST. According to the definition of LCA on Wikipedia: “The lowest common ancestor is defined between two nodes p and q as the lowest node in T that has both p and q as descendants (where we allow a node to be a descendant of itself).” Example 1: Input: root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 8 Output: 6 Explanation: The LCA of nodes 2 and 8 is 6. Example 2: Input: root = [6,2,8,0,4,7,9,null,null,3,5], p = 2, q = 4 Output: 2 Explanation: The LCA of nodes 2 and 4 is 2, since a node can be a descendant of itself according to the LCA definition. Example 3: Input: root = [2,1], p = 2, q = 1 Output: 2 Constraints: The number of nodes in the tree is in the range [2, 105]. -109 <= Node.val <= 109 All Node.val are unique. p != q p and q will exist in the BST. """ # V0 # IDEA : RECURSION class Solution: def lowestCommonAncestor(self, root, p, q): ### NOTE : we need to assign root.val, p, q to other var first (before they are changed) # Value of current node or parent node. parent_val = root.val # Value of p p_val = p.val # Value of q q_val = q.val # If both p and q are greater than parent if p_val > parent_val and q_val > parent_val: ### NOTE : we need to `return` below func call return self.lowestCommonAncestor(root.right, p, q) # If both p and q are lesser than parent elif p_val < parent_val and q_val < parent_val: ### NOTE : we need to `return` below func call return self.lowestCommonAncestor(root.left, p, q) # We have found the split point, i.e. the LCA node. else: ### NOTE : not root.val but root return root # V0' # IDEA : ITERATION # https://leetcode.com/problems/lowest-common-ancestor-of-a-binary-search-tree/solution/ class Solution: def lowestCommonAncestor(self, root, p, q): """ :type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode """ # Value of p p_val = p.val # Value of q q_val = q.val # Start from the root node of the tree node = root # Traverse the tree while node: # Value of current node or parent node. parent_val = node.val if p_val > parent_val and q_val > parent_val: # If both p and q are greater than parent node = node.right elif p_val < parent_val and q_val < parent_val: # If both p and q are lesser than parent node = node.left else: # We have found the split point, i.e. the LCA node. return node # V0'' # IDEA : GO THROUGH ALL BST (no need to use BFS, or DFS, can just use BST property) # THIS METHOD IS MORE GENERAL class Solution(object): def lowestCommonAncestor(self, root, p, q): pathp = self.findPath(root, p) pathq = self.findPath(root, q) res = root for i in range(1, min(len(pathp), len(pathq))): ### NOTE : we need to find Lowest common ancestor (LCA), # -> so need to go through pathp, pathq, # -> and find the lowest overlap if pathp[i] == pathq[i]: res = pathp[i] return res def findPath(self, root, p): path = [] ### NOTE : # -> here we use "BFS" like way go through the BST # -> however, this is not a BFS, since we ONLY go throgh the BST with ONE ROUTE which has x # -> (and also there is no queue here) while root.val != p.val: path.append(root) if p.val > root.val: root = root.right elif p.val < root.val: root = root.left # NOTE this : we append p to path path.append(p) return path # V0''' # IDEA : BST PROPERTY class Solution(object): def lowestCommonAncestor(self, root, p, q): """ :type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode """ pointer = root while pointer: if p.val > pointer.val and q.val > pointer.val: pointer = pointer.right elif p.val < pointer.val and q.val < pointer.val: pointer = pointer.left else: return pointer # V0'''' # IDEA : BST PROPERTY class Solution(object): def lowestCommonAncestor(self, root, p, q): if not root or root == q or root == p: return root if p.val < root.val and q.val < root.val: return self.lowestCommonAncestor(root.left, p, q) elif p.val > root.val and q.val > root.val: return self.lowestCommonAncestor(root.right, p, q) return root # V1 # IDEA : RECURSION # https://leetcode.com/problems/lowest-common-ancestor-of-a-binary-search-tree/solution/ class Solution: def lowestCommonAncestor(self, root, p, q): """ :type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode """ # Value of current node or parent node. parent_val = root.val # Value of p p_val = p.val # Value of q q_val = q.val # If both p and q are greater than parent if p_val > parent_val and q_val > parent_val: return self.lowestCommonAncestor(root.right, p, q) # If both p and q are lesser than parent elif p_val < parent_val and q_val < parent_val: return self.lowestCommonAncestor(root.left, p, q) # We have found the split point, i.e. the LCA node. else: return root # V1'' # IDEA : ITERATION # https://leetcode.com/problems/lowest-common-ancestor-of-a-binary-search-tree/solution/ class Solution: def lowestCommonAncestor(self, root, p, q): """ :type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode """ # Value of p p_val = p.val # Value of q q_val = q.val # Start from the root node of the tree node = root # Traverse the tree while node: # Value of current node or parent node. parent_val = node.val if p_val > parent_val and q_val > parent_val: # If both p and q are greater than parent node = node.right elif p_val < parent_val and q_val < parent_val: # If both p and q are lesser than parent node = node.left else: # We have found the split point, i.e. the LCA node. return node # V1' # https://blog.csdn.net/coder_orz/article/details/51498796 # Definition for a binary tree node. # class TreeNode(object): # def __init__(self, x): # self.val = x # self.left = None # self.right = None class Solution(object): def lowestCommonAncestor(self, root, p, q): """ :type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode """ pointer = root while pointer: if p.val > pointer.val and q.val > pointer.val: pointer = pointer.right elif p.val < pointer.val and q.val < pointer.val: pointer = pointer.left else: return pointer # V1'' # https://blog.csdn.net/coder_orz/article/details/51498796 class Solution(object): def lowestCommonAncestor(self, root, p, q): """ :type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode """ if not root: return None if p.val < root.val and q.val < root.val: return self.lowestCommonAncestor(root.left, p, q) elif p.val > root.val and q.val > root.val: return self.lowestCommonAncestor(root.right, p, q) else: return root # V1''' # https://blog.csdn.net/coder_orz/article/details/51498796 class Solution(object): def lowestCommonAncestor(self, root, p, q): """ :type root: TreeNode :type p: TreeNode :type q: TreeNode :rtype: TreeNode """ pathp = self.findPath(root, p) pathq = self.findPath(root, q) res = root for i in xrange(1, min(len(pathp), len(pathq))): if pathp[i] == pathq[i]: res = pathp[i] return res def findPath(self, root, p): path = [] while root.val != p.val: path.append(root) if p.val > root.val: root = root.right elif p.val < root.val: root = root.left path.append(p) return path # V2 # Time: O(n) # Space: O(1) class Solution(object): # @param {TreeNode} root # @param {TreeNode} p # @param {TreeNode} q # @return {TreeNode} def lowestCommonAncestor(self, root, p, q): s, b = sorted([p.val, q.val]) while not s <= root.val <= b: # Keep searching since root is outside of [s, b]. root = root.left if s <= root.val else root.right # s <= root.val <= b. return root

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py

Python

enthought/chaco/selectable_legend.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

3

2016-12-09T06:05:18.000Z

2018-03-01T13:00:29.000Z

enthought/chaco/selectable_legend.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

1

2020-12-02T00:51:32.000Z

2020-12-02T08:48:55.000Z

enthought/chaco/selectable_legend.py

enthought/etsproxy

4aafd628611ebf7fe8311c9d1a0abcf7f7bb5347

[ "BSD-3-Clause" ]

null

# proxy module from __future__ import absolute_import from chaco.selectable_legend import *

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36cef281da82ac17ac6018586d71d5d8bd8ca7b0

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py

Python

years/AoC2021/tasks.py

yuriisthebest/Advent-of-Code

1a4b3d6e57b0751dec097ccfc83472c458605e37

[ "MIT" ]

null

years/AoC2021/tasks.py

yuriisthebest/Advent-of-Code

1a4b3d6e57b0751dec097ccfc83472c458605e37

[ "MIT" ]

null

years/AoC2021/tasks.py

yuriisthebest/Advent-of-Code

1a4b3d6e57b0751dec097ccfc83472c458605e37

[ "MIT" ]

null

from years.AoC2021.task_1 import Task1 from years.AoC2021.task_2 import Task2 from years.AoC2021.task_3 import Task3 from years.AoC2021.task_4 import Task4 from years.AoC2021.task_5 import Task5 from years.AoC2021.task_6 import Task6 from years.AoC2021.task_7 import Task7 from years.AoC2021.task_8 import Task8 from years.AoC2021.task_9 import Task9 from years.AoC2021.task_10 import Task10 from years.AoC2021.task_11 import Task11 from years.AoC2021.task_12 import Task12 from years.AoC2021.task_13 import Task13 from years.AoC2021.task_14 import Task14 from years.AoC2021.task_15 import Task15 from years.AoC2021.task_16 import Task16 from years.AoC2021.task_17 import Task17 from years.AoC2021.task_18 import Task18 from years.AoC2021.task_19 import Task19 from years.AoC2021.task_20 import Task20 from years.AoC2021.task_21 import Task21 from years.AoC2021.task_22 import Task22 from years.AoC2021.task_23 import Task23 from years.AoC2021.task_24 import Task24 from years.AoC2021.task_25 import Task25 TASKS2021 = [ Task1, Task2, Task3, Task4, Task5, Task6, Task7, Task8, Task9, Task10, Task11, Task12, Task13, Task14, Task15, Task16, Task17, Task18, Task19, Task20, Task21, Task22, Task23, Task24, Task25 ]

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py

Python

src/utils/tests/strings_test.py

danieltvaz/ava-api

1c0d6f6ba91763a893acd2d2055d5301c701e2d5

[ "MIT" ]

2

2021-07-28T18:05:48.000Z

2021-07-31T00:47:12.000Z

src/utils/tests/strings_test.py

danieltvaz/ava-api

1c0d6f6ba91763a893acd2d2055d5301c701e2d5

[ "MIT" ]

null

src/utils/tests/strings_test.py

danieltvaz/ava-api

1c0d6f6ba91763a893acd2d2055d5301c701e2d5

[ "MIT" ]

1

2022-02-22T00:59:04.000Z

from ..strings import clean def test_clean_spaces_line_jump(): assert clean('\n\nhello world \n') == 'hello world' def test_clean_and_replace(): assert clean('\n\nhello world% \n', {'%': ''}) == 'hello world'

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7fd0112a5aa0cf8e5c386bc183fffcd5972c8b2f

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py

Python

tests/test_strings.py

havok2063/SQLAlchemy-boolean-search

cda25e7b7ba887cd1bfc5a870affebe8cba45837

[ "BSD-3-Clause" ]

3

2016-04-21T20:00:08.000Z

2022-03-24T20:25:18.000Z

tests/test_strings.py

sdss/sqlalchemy-boolean-search

cda25e7b7ba887cd1bfc5a870affebe8cba45837

[ "BSD-3-Clause" ]

null

tests/test_strings.py

sdss/sqlalchemy-boolean-search

cda25e7b7ba887cd1bfc5a870affebe8cba45837

[ "BSD-3-Clause" ]

1

2021-05-18T06:02:57.000Z

# Copyright 2015 SolidBuilds.com. All rights reserved. # # Authors: Ling Thio <ling.thio@gmail.com> from __future__ import print_function from sqlalchemy_boolean_search import parse_boolean_search from .models import Record import pytest def add_records(db, records): for record in records: db.session.add(record) db.session.commit() def delete_records(db, records): for record in records: db.session.delete(record) db.session.commit() @pytest.mark.skip(reason="strings conditions no longer work the same way") def test_strings(db): all_records = [ Record(string='abc'), Record(string='abcx'), Record(string='xabc'), Record(string='xabcx'), ] add_records(db, all_records) expression = parse_boolean_search('string==abc') records = Record.query.filter(expression.filter(Record)).all() assert len(records) == 1 for record in records: assert record.string == 'abc' expression = parse_boolean_search('string!=abc') records = Record.query.filter(expression.filter(Record)).all() assert len(records) == 3 for record in records: assert record.string != 'abc' expression = parse_boolean_search('not string==abc') records = Record.query.filter(expression.filter(Record)).all() assert len(records) == 3 for record in records: assert record.string != 'abc' expression = parse_boolean_search('string<xabc') records = Record.query.filter(expression.filter(Record)).all() assert len(records) == 2 for record in records: assert record.string < 'xabc' expression = parse_boolean_search('string<=xabc') records = Record.query.filter(expression.filter(Record)).all() assert len(records) == 3 for record in records: assert record.string <= 'xabc' expression = parse_boolean_search('string>xabc') records = Record.query.filter(expression.filter(Record)).all() assert len(records) == 1 for record in records: assert record.string > 'xabc' expression = parse_boolean_search('string>=xabc') records = Record.query.filter(expression.filter(Record)).all() assert len(records) == 2 for record in records: assert record.string >= 'xabc' expression = parse_boolean_search('string=abc') records = Record.query.filter(expression.filter(Record)).all() assert len(records) == 4 for record in records: assert 'abc' in record.string expression = parse_boolean_search('string=*x and string=x*') records = Record.query.filter(expression.filter(Record)).all() assert len(records) == 1 for record in records: assert record.string[0:1] == 'x' and record.string[-1:] == 'x' expression = parse_boolean_search('string=*x or string=x*') records = Record.query.filter(expression.filter(Record)).all() assert len(records) == 3 for record in records: assert record.string[0:1] == 'x' or record.string[-1:] == 'x' delete_records(db, all_records)

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7fd3c94fd557a7102be167e49b05a8a1e210ceeb

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py

Python

cowin18-api/helpers/instances.py

harishb93/cowin18plus

3e6541efa04486eea04bf6dda7c61713c72cddac

[ "Apache-2.0" ]

1

2021-04-30T05:15:03.000Z

cowin18-api/helpers/instances.py

harishb93/cowin18plus

3e6541efa04486eea04bf6dda7c61713c72cddac

[ "Apache-2.0" ]

1

2021-04-30T05:06:41.000Z

cowin18-api/helpers/instances.py

harishb93/cowin18plus

3e6541efa04486eea04bf6dda7c61713c72cddac

[ "Apache-2.0" ]

1

2021-04-30T05:03:58.000Z

import os from .redis import Redis redis = Redis(host=os.getenv("REDIS_HOST"), port=os.getenv("REDIS_PORT"))

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3d111c7095b5d2ed9762d8ea379e830f6c586e97

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py

Python

tests/cli/97_test_site_update.py

dnimtheory/WordOps

82fc71f5f563df0e4249cc178f768f6cf6c005f6

[ "MIT" ]

2

2019-09-03T03:39:40.000Z

2021-04-22T12:09:50.000Z

tests/cli/97_test_site_update.py

BreezeRo/WordOps

3c5cb8ba0ed8d619cddb170386a07102cb385727

[ "MIT" ]

null

tests/cli/97_test_site_update.py

BreezeRo/WordOps

3c5cb8ba0ed8d619cddb170386a07102cb385727

[ "MIT" ]

2

2021-01-02T07:49:51.000Z

2022-03-26T15:58:50.000Z

from wo.utils import test from wo.cli.main import get_test_app class CliTestCaseSite(test.WOTestCase): def test_wo_cli(self): self.app.setup() self.app.run() self.app.close() def test_wo_cli_site_update_html(self): self.app = get_test_app(argv=['site', 'update', 'example2.com', '--html']) self.app.setup() self.app.run() self.app.close() def test_wo_cli_site_update_php(self): self.app = get_test_app(argv=['site', 'update', 'example1.com', '--php']) self.app.setup() self.app.run() self.app.close() def test_wo_cli_site_update_mysql(self): self.app = get_test_app(argv=['site', 'update', 'example1.com', '--html']) self.app.setup() self.app.run() self.app.close() def test_wo_cli_site_update_wp(self): self.app = get_test_app(argv=['site', 'update', 'example5.com', '--wp']) self.app.setup() self.app.run() self.app.close() def test_wo_cli_site_update_wpsubdir(self): self.app = get_test_app(argv=['site', 'update', 'example4.com', '--wpsubdir']) self.app.setup() self.app.run() self.app.close() def test_wo_cli_site_update_wpsubdomain(self): self.app = get_test_app(argv=['site', 'update', 'example7.com', '--wpsubdomain']) self.app.setup() self.app.run() self.app.close() def test_wo_cli_site_update_wpfc(self): self.app = get_test_app(argv=['site', 'update', 'example9.com', '--wpfc']) self.app.setup() self.app.run() self.app.close() def test_wo_cli_site_update_wpsc(self): self.app = get_test_app(argv=['site', 'update', 'example6.com', '--wpsc']) self.app.setup() self.app.run() self.app.close()

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py

Python

local_ci/errors.py

ownport/local-ci

7836a2803e18ccbf46bc9cae5f08fb85a1527dcb

[ "Apache-2.0" ]

6

2016-06-23T09:07:05.000Z

2022-03-04T08:55:53.000Z

local_ci/errors.py

ownport/local-ci

7836a2803e18ccbf46bc9cae5f08fb85a1527dcb

[ "Apache-2.0" ]

10

2016-06-23T21:46:41.000Z

2016-11-12T06:19:22.000Z

local_ci/errors.py

ownport/local-ci

7836a2803e18ccbf46bc9cae5f08fb85a1527dcb

[ "Apache-2.0" ]

null

class IncorrectFileFormat(Exception): pass class NoConfigFileFound(Exception): pass

10.1

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3d41f39d2bab3410a32ad516a1e829b6b8ac8c8f

299

py

Python

quantdsl/infrastructure/event_sourced_repos/market_simulation_repo.py

johnbywater/quantdsl

81c1c69f27e094a6ed0542b28cf1ac8fcce5494a

[ "BSD-3-Clause" ]

269

2015-01-09T00:56:41.000Z

2022-03-30T17:09:46.000Z

quantdsl/infrastructure/event_sourced_repos/market_simulation_repo.py

johnbywater/quantdsl

81c1c69f27e094a6ed0542b28cf1ac8fcce5494a

[ "BSD-3-Clause" ]

22

2017-04-01T13:44:56.000Z

2018-09-10T11:48:56.000Z

quantdsl/infrastructure/event_sourced_repos/market_simulation_repo.py

johnbywater/quantdsl

81c1c69f27e094a6ed0542b28cf1ac8fcce5494a

[ "BSD-3-Clause" ]

59

2015-01-09T00:56:50.000Z

2022-03-13T23:52:27.000Z

from eventsourcing.infrastructure.event_sourced_repo import EventSourcedRepository from quantdsl.domain.model.market_simulation import MarketSimulation, MarketSimulationRepository class MarketSimulationRepo(MarketSimulationRepository, EventSourcedRepository): domain_class = MarketSimulation

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py

Python

documentos/admin.py

CARocha/cafod-joa

e207b29375cd1f2219086b54ec6280e5c5789c32

[ "MIT" ]

1

2021-11-05T11:33:01.000Z

documentos/admin.py

CARocha/cafod-joa

e207b29375cd1f2219086b54ec6280e5c5789c32

[ "MIT" ]

6

2020-06-05T18:13:39.000Z

2022-01-13T00:45:03.000Z

documentos/admin.py

CARocha/cafod-joa

e207b29375cd1f2219086b54ec6280e5c5789c32

[ "MIT" ]

null

from django.contrib import admin from .models import SubirArchivos # Register your models here. admin.site.register(SubirArchivos)

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py

Python

tests/base/eval_model_train_dataloaders.py

girishponkiya/pytorch-lightning

42d5cfc3b056b4c82a77a7cdcb8eafc63a812b67

[ "Apache-2.0" ]

1

2020-05-07T15:15:40.000Z

tests/base/eval_model_train_dataloaders.py

girishponkiya/pytorch-lightning

42d5cfc3b056b4c82a77a7cdcb8eafc63a812b67

[ "Apache-2.0" ]

null

tests/base/eval_model_train_dataloaders.py

girishponkiya/pytorch-lightning

42d5cfc3b056b4c82a77a7cdcb8eafc63a812b67

[ "Apache-2.0" ]

1

2020-05-12T10:59:54.000Z

from abc import ABC, abstractmethod class TrainDataloaderVariations(ABC): @abstractmethod def dataloader(self, train: bool): """placeholder""" def train_dataloader(self): return self.dataloader(train=True)

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171

py

Python

cgxsh_edit_config.py

ebob9/cgxsh

0682922bae4354d2e306147e314dd309da968059

[ "MIT" ]

null

cgxsh_edit_config.py

ebob9/cgxsh

0682922bae4354d2e306147e314dd309da968059

[ "MIT" ]

3

2020-02-10T00:01:18.000Z

2022-03-28T00:26:45.000Z

cgxsh_edit_config.py

ebob9/cgxsh

0682922bae4354d2e306147e314dd309da968059

[ "MIT" ]

null

#!/usr/bin/env python3 # -*- coding: utf-8 -*- import sys from cgxsh_lib.file_crypto import edit_config_file if __name__ == '__main__': sys.exit(edit_config_file())

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e9fc0883cf5dad7786e4fd71f424dc3ba47cc3a4

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py

Python

Bundesliga/Bundesliga/views.py

Sunchasing/Bundesliga_Website

b2afc64da11d2d75120ea706b25bdfd85e3e3975

[ "MIT" ]

null

Bundesliga/Bundesliga/views.py

Sunchasing/Bundesliga_Website

b2afc64da11d2d75120ea706b25bdfd85e3e3975

[ "MIT" ]

null

Bundesliga/Bundesliga/views.py

Sunchasing/Bundesliga_Website

b2afc64da11d2d75120ea706b25bdfd85e3e3975

[ "MIT" ]

null

from datetime import datetime from django.http import HttpResponse, HttpRequest from .settings import start_time def is_up(_: HttpRequest): return HttpResponse(f"{datetime.now() - start_time}")

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180a4ad09e79709677bb4ff4b0fc08cf69604716

295

py

Python

Tensile/Tests/nightly/global_split_u/test_global_split_u.py

yxsamliu/Tensile

e6c4302bbaa31190972f27828a55959ea434b3c1

[ "MIT" ]

null

Tensile/Tests/nightly/global_split_u/test_global_split_u.py

yxsamliu/Tensile

e6c4302bbaa31190972f27828a55959ea434b3c1

[ "MIT" ]

null

Tensile/Tests/nightly/global_split_u/test_global_split_u.py

yxsamliu/Tensile

e6c4302bbaa31190972f27828a55959ea434b3c1

[ "MIT" ]

null

import Tensile.Tensile as Tensile def test_hgemm_gsu(tmpdir): Tensile.Tensile([Tensile.TensileTestPath("nightly/global_split_u/hgemm_gsu.yaml"), tmpdir.strpath]) def test_sgemm_gsu(tmpdir): Tensile.Tensile([Tensile.TensileTestPath("nightly/global_split_u/sgemm_gsu.yaml"), tmpdir.strpath])

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null

0

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5

1842c8cf04a4fe67ada4120f2141bb77ef9789b6

142

py

Python

js_components/admin.py

compoundpartners/js-components

a58a944254354078a0a7b53a4c9a7df50790267a

[ "BSD-3-Clause" ]

null

js_components/admin.py

compoundpartners/js-components

a58a944254354078a0a7b53a4c9a7df50790267a

[ "BSD-3-Clause" ]

null

js_components/admin.py

compoundpartners/js-components

a58a944254354078a0a7b53a4c9a7df50790267a

[ "BSD-3-Clause" ]

null

from django.contrib import admin from filer.admin.fileadmin import FileAdmin from .models import Video admin.site.register(Video, FileAdmin)

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null

0

1

0

1

0

1

0

5

18488dded8fd794731403780e0ab090c118d416c

41

py

Python

fluent_pages/forms/__init__.py

vinnyrose/django-fluent-pages

960b40dcf4e5cecd440f6414d28be6b51f31eb4e

[ "Apache-2.0" ]

null

fluent_pages/forms/__init__.py

vinnyrose/django-fluent-pages

960b40dcf4e5cecd440f6414d28be6b51f31eb4e

[ "Apache-2.0" ]

1

2021-03-24T18:53:10.000Z

fluent_pages/forms/__init__.py

masschallenge/django-fluent-pages

8beb083d89fba935ef3bfeda8cacf566f28b1334

[ "Apache-2.0" ]

null

""" Form fields """ from .fields import *

10.25

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0.634146

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41

5.2

0.8

0

0.170732

41

4

21

10.25

0.764706

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1

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true

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0

null

0

1

0

null

0

1

0

1

0

5

186c4f194f1395af894ab136bf7751d001414672

24

py

Python

logparser/LogCluster/__init__.py

CUHK-CSE/logalizer

e8d96cd4de1121c5d2b517982c6028cd06e643f1

[ "MIT" ]

859

2017-05-06T03:06:22.000Z

2022-03-31T12:02:29.000Z

logparser/LogCluster/__init__.py

mandychenze/logparser

8f1f1face2c0e270fd9bcecdefe37ebc6ba76e9d

[ "MIT" ]

71

2018-02-24T08:11:32.000Z

2022-03-15T11:44:29.000Z

logparser/LogCluster/__init__.py

mandychenze/logparser

8f1f1face2c0e270fd9bcecdefe37ebc6ba76e9d

[ "MIT" ]

445

2017-06-19T01:26:16.000Z

2022-03-29T08:27:17.000Z

from LogCluster import *

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3

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6.666667

1

0

0.125

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1

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0.952381

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true

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null

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1

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1

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5

43e97096f2b4c67f08887dcb16773d99a5058dcc

149

py

Python

lib/mpl_toolkits/axes_grid/axisline_style.py

adrn/matplotlib

7a9f2347a3b1c1efaef6e547930661a547c20ef2

[ "MIT", "BSD-3-Clause" ]

null

lib/mpl_toolkits/axes_grid/axisline_style.py

adrn/matplotlib

7a9f2347a3b1c1efaef6e547930661a547c20ef2

[ "MIT", "BSD-3-Clause" ]

null

lib/mpl_toolkits/axes_grid/axisline_style.py

adrn/matplotlib

7a9f2347a3b1c1efaef6e547930661a547c20ef2

[ "MIT", "BSD-3-Clause" ]

null

from __future__ import absolute_import, division, print_function, unicode_literals import six from mpl_toolkits.axisartist.axisline_style import *

24.833333

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true

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null

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1

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1

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1

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5

a125e6a00b3b5c2f5b1e668aef87c71739d5ac8c

252

py

Python

spider/concurrent/__init__.py

zhouqijun/a_simple_spider_frame

424572cee9479fe3c54481928d1b780e1d800cde

[ "BSD-2-Clause" ]

1

2017-11-23T05:20:10.000Z

spider/concurrent/__init__.py

zhouqijun/a_simple_spider_frame

424572cee9479fe3c54481928d1b780e1d800cde

[ "BSD-2-Clause" ]

null

spider/concurrent/__init__.py

zhouqijun/a_simple_spider_frame

424572cee9479fe3c54481928d1b780e1d800cde

[ "BSD-2-Clause" ]

null

# _*_ coding: utf-8 _*_ """ define ThreadPool as WebSpider, and DistThreadPool as WebSpiderDist """ from .concur_abase import TPEnum from .concur_threads import ThreadPool as WebSpider from .distributed_threads import DistThreadPool as WebSpiderDist

25.2

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252

6.566667

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0.213198

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0.004566

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9

68

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0.894977

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true

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null

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1

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null

0

1

0

1

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1

0

5

a1932f028265a0d62378b5d1b96ff03b39f992da

90

py

Python

snake_rl/reinforcement_learning/environment/__init__.py

Rozzerus/lua_snake_ml_rl

351f1675e728275a7ddd1c69cc1970d70a21f750

[ "Apache-2.0" ]

null

snake_rl/reinforcement_learning/environment/__init__.py

Rozzerus/lua_snake_ml_rl

351f1675e728275a7ddd1c69cc1970d70a21f750

[ "Apache-2.0" ]

null

snake_rl/reinforcement_learning/environment/__init__.py

Rozzerus/lua_snake_ml_rl

351f1675e728275a7ddd1c69cc1970d70a21f750

[ "Apache-2.0" ]

null

from snake_rl.reinforcement_learning.environment.snake_environment import SnakeEnvironment

90

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8.1

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null

0

1

0

1

0

1

0

5

a1a789a803a8f0a8ce7e3b5505060745bec1cbb0

208

py

Python

MovieRecommendationApp/web/admin.py

akash7301/MovieRecommendation

e4644591ebf12b9fc1360d4b693f486ea943b6b2

[ "Apache-2.0" ]

null

MovieRecommendationApp/web/admin.py

akash7301/MovieRecommendation

e4644591ebf12b9fc1360d4b693f486ea943b6b2

[ "Apache-2.0" ]

null

MovieRecommendationApp/web/admin.py

akash7301/MovieRecommendation

e4644591ebf12b9fc1360d4b693f486ea943b6b2

[ "Apache-2.0" ]

null

from django.contrib import admin from .models import Movie,Myrating,MovieBulkUpload admin.site.register(Movie) admin.site.register(Myrating) admin.site.register(MovieBulkUpload) # Register your models here.

26

50

0.831731

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1

0

5

a1c237b17330b8bad03bdbbe260a4838e2dad9e7

49

py

Python

notebooks/simple.py

minodes/nbpymd

d0da4ebe651ae310997a8933f9edeecec2ae7b48

[ "MIT" ]

180

2017-11-28T22:01:15.000Z

2019-03-10T09:43:11.000Z

notebooks/simple.py

minodes/nbpymd

d0da4ebe651ae310997a8933f9edeecec2ae7b48

[ "MIT" ]

9

2017-12-08T15:57:50.000Z

2018-12-10T11:07:49.000Z

notebooks/simple.py

minodes/nbpymd

d0da4ebe651ae310997a8933f9edeecec2ae7b48

[ "MIT" ]

6

2017-11-28T14:32:31.000Z

2018-12-10T10:54:31.000Z

# Contents of simple.py def cells(): 1 + 2

8.166667

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3.5

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24

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true

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null

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a1d05c061494f4a416acf406cbd4049a3a4495a5

115

py

Python

L1TriggerConfig/DTTPGConfigProducers/python/L1DTTPGConfigFromDB_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

852

2015-01-11T21:03:51.000Z

2022-03-25T21:14:00.000Z

L1TriggerConfig/DTTPGConfigProducers/python/L1DTTPGConfigFromDB_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

30,371

2015-01-02T00:14:40.000Z

2022-03-31T23:26:05.000Z

L1TriggerConfig/DTTPGConfigProducers/python/L1DTTPGConfigFromDB_cff.py

ckamtsikis/cmssw

ea19fe642bb7537cbf58451dcf73aa5fd1b66250

[ "Apache-2.0" ]

3,240

2015-01-02T05:53:18.000Z

2022-03-31T17:24:21.000Z

import FWCore.ParameterSet.Config as cms from L1TriggerConfig.DTTPGConfigProducers.L1DTConfigFromDB_cfi import *

23

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8.25

0.916667

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4

72

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0.92381

0

1

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true

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null

0

1

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1

0

1

0

5

a1e36330469182a81bb29f71293b07a36988fea9

89

py

Python

toontown/pets/PetDCImportsAI.py

TheFamiliarScoot/open-toontown

678313033174ea7d08e5c2823bd7b473701ff547

[ "BSD-3-Clause" ]

99

2019-11-02T22:25:00.000Z

2022-02-03T03:48:00.000Z

toontown/pets/PetDCImportsAI.py

TheFamiliarScoot/open-toontown

678313033174ea7d08e5c2823bd7b473701ff547

[ "BSD-3-Clause" ]

42

2019-11-03T05:31:08.000Z

2022-03-16T22:50:32.000Z

toontown/pets/PetDCImportsAI.py

TheFamiliarScoot/open-toontown

678313033174ea7d08e5c2823bd7b473701ff547

[ "BSD-3-Clause" ]

57

2019-11-03T07:47:37.000Z

2022-03-22T00:41:49.000Z

if hasattr(simbase, 'wantPets') and simbase.wantPets: from . import DistributedPetAI

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2

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1

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null

0

1

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1

0

5

a1e7dc6b244b7178455759824143f43307b848e2

1,211

py

Python

Lib/site-packages/tensorflow/_api/v2/distribute/experimental/__init__.py

xorb813/Text-Mining

3dced9dd06fc9334d631ddf608b2ed96c2493276

[ "CNRI-Python-GPL-Compatible" ]

1

2021-05-24T10:08:51.000Z

Lib/site-packages/tensorflow/_api/v2/distribute/experimental/__init__.py

xorb813/Text-Mining

3dced9dd06fc9334d631ddf608b2ed96c2493276

[ "CNRI-Python-GPL-Compatible" ]

null

Lib/site-packages/tensorflow/_api/v2/distribute/experimental/__init__.py

xorb813/Text-Mining

3dced9dd06fc9334d631ddf608b2ed96c2493276

[ "CNRI-Python-GPL-Compatible" ]

null

# This file is MACHINE GENERATED! Do not edit. # Generated by: tensorflow/python/tools/api/generator/create_python_api.py script. """Public API for tf.distribute.experimental namespace. """ from __future__ import print_function as _print_function import sys as _sys from . import coordinator from . import partitioners from tensorflow.python.distribute.central_storage_strategy import CentralStorageStrategy from tensorflow.python.distribute.collective_all_reduce_strategy import _CollectiveAllReduceStrategyExperimental as MultiWorkerMirroredStrategy from tensorflow.python.distribute.collective_util import CommunicationImplementation from tensorflow.python.distribute.collective_util import CommunicationImplementation as CollectiveCommunication from tensorflow.python.distribute.collective_util import Hints as CollectiveHints from tensorflow.python.distribute.collective_util import _OptionsExported as CommunicationOptions from tensorflow.python.distribute.distribute_lib import ValueContext from tensorflow.python.distribute.parameter_server_strategy_v2 import ParameterServerStrategyV2 as ParameterServerStrategy from tensorflow.python.distribute.tpu_strategy import TPUStrategy del _print_function

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null

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1

0

1

0

1

0

5

b806f2cdaf74c464176e8690f8724e113b55a5d3

114

py

Python

cyder/cydns/mx/urls.py

drkitty/cyder

1babc443cc03aa51fa3c1015bcd22f0ea2e5f0f8

[ "BSD-3-Clause" ]

6

2015-04-16T23:18:22.000Z

2020-08-25T22:50:13.000Z

cyder/cydns/mx/urls.py

drkitty/cyder

1babc443cc03aa51fa3c1015bcd22f0ea2e5f0f8

[ "BSD-3-Clause" ]

267

2015-01-01T00:18:57.000Z

2015-10-14T00:01:13.000Z

cyder/cydns/mx/urls.py

drkitty/cyder

1babc443cc03aa51fa3c1015bcd22f0ea2e5f0f8

[ "BSD-3-Clause" ]

5

2015-03-23T00:57:09.000Z

2019-09-09T22:42:37.000Z

from django.conf.urls.defaults import * from cyder.cydns.urls import cydns_urls urlpatterns = cydns_urls('mx')

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py

Python

data/imagenetloader.py

JosephKJ/NCL

e40bcbb6caf0f02764f46c1abc1e9597b6c96103

[ "Apache-2.0" ]

null

data/imagenetloader.py

JosephKJ/NCL

e40bcbb6caf0f02764f46c1abc1e9597b6c96103

[ "Apache-2.0" ]

null

data/imagenetloader.py

JosephKJ/NCL

e40bcbb6caf0f02764f46c1abc1e9597b6c96103

[ "Apache-2.0" ]

null

from __future__ import print_function from PIL import Image import os import os.path import numpy as np import sys if sys.version_info[0] == 2: import cPickle as pickle else: import pickle import torch.backends.cudnn as cudnn import random import torch.utils.data as data import torch import torchvision import torchvision.transforms as transforms from torch.utils.data.dataloader import default_collate, DataLoader from .utils import TransformTwice, TransformKtimes, RandomTranslateWithReflect, TwoStreamBatchSampler from .concat import ConcatDataset def find_classes_from_folder(dir): classes = [d for d in os.listdir(dir) if os.path.isdir(os.path.join(dir, d))] classes.sort() class_to_idx = {classes[i]: i for i in range(len(classes))} return classes, class_to_idx def find_classes_from_file(file_path): with open(file_path) as f: classes = f.readlines() classes = [x.strip() for x in classes] classes.sort() class_to_idx = {classes[i]: i for i in range(len(classes))} return classes, class_to_idx def make_dataset(dir, classes, class_to_idx): samples = [] for target in classes: d = os.path.join(dir, target) # print('Looking for files in {}'.format(d)) if not os.path.isdir(d): continue for root, _, fnames in sorted(os.walk(d)): for fname in sorted(fnames): path = os.path.join(root, fname) item = (path, class_to_idx[target]) if 'JPEG' in path or 'jpg' in path: samples.append(item) return samples IMG_EXTENSIONS = [ '.jpg', '.JPG', '.jpeg', '.JPEG', '.png', '.PNG', '.ppm', '.PPM', '.bmp', '.BMP', ] def pil_loader(path): return Image.open(path).convert('RGB') class ImageFolder(data.Dataset): def __init__(self, transform=None, target_transform=None, samples=None, loader=pil_loader): if len(samples) == 0: raise(RuntimeError("Found 0 images in subfolders \n" "Supported image extensions are: " + ",".join(IMG_EXTENSIONS))) self.samples=samples self.transform = transform self.target_transform = target_transform self.loader = loader def __getitem__(self, index): path = self.samples[index][0] target = self.samples[index][1] img = self.loader(path) if self.transform is not None: img = self.transform(img) if self.target_transform is not None: target = self.target_transform(target) return img, target, index def __len__(self): return len(self.samples) def ImageNet882(aug=None, subfolder='train', path='./data/datasets/ImageNet/'): img_split = 'images/'+subfolder classes_118, class_to_idx_118 = find_classes_from_file(os.path.join(path, 'imagenet_rand118/imagenet_118.txt')) samples_118 = make_dataset(path+img_split, classes_118, class_to_idx_118) classes_1000, _ = find_classes_from_folder(os.path.join(path, img_split)) classes_882 = list(set(classes_1000) - set(classes_118)) class_to_idx_882 = {classes_882[i]: i for i in range(len(classes_882))} samples_882 = make_dataset(path+img_split, classes_882, class_to_idx_882) if aug==None: transform = transforms.Compose([ transforms.Resize(256), transforms.CenterCrop(224), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]) if aug=='none_pre': transform = transforms.Compose([ transforms.Resize(256), transforms.CenterCrop(224), # transforms.ToTensor(), # transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]) elif aug=='once': transform = transforms.Compose([ transforms.RandomResizedCrop(224, scale=(0.5, 1.0)), transforms.RandomHorizontalFlip(), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]) elif aug=='once_pre': transform = transforms.Compose([ transforms.RandomResizedCrop(224, scale=(0.5, 1.0)), transforms.RandomHorizontalFlip(), # transforms.ToTensor(), # transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]) elif aug=='twice': transform = TransformTwice(transforms.Compose([ transforms.RandomResizedCrop(224, scale=(0.5, 1.0)), transforms.RandomHorizontalFlip(), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ])) elif aug=='twice_pre': transform = TransformTwice(transforms.Compose([ transforms.RandomResizedCrop(224, scale=(0.5, 1.0)), transforms.RandomHorizontalFlip(), # transforms.ToTensor(), # transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ])) elif aug=='ktimes': transform = TransformKtimes(transforms.Compose([ transforms.RandomResizedCrop(224, scale=(0.5, 1.0)), transforms.RandomHorizontalFlip(), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]), k=10) dataset = ImageFolder(transform=transform, samples=samples_882) return dataset def ImageNet30(path='./data/datasets/ImageNet/', subset='A', aug=None, subfolder='train'): classes_30, class_to_idx_30 = find_classes_from_file(os.path.join(path, 'imagenet_rand118/imagenet_30_{}.txt'.format(subset))) samples_30 = make_dataset(path+'images/{}'.format(subfolder), classes_30, class_to_idx_30) if aug==None: transform = transforms.Compose([ transforms.Resize(256), transforms.CenterCrop(224), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]) elif aug=='none_pre': transform = transforms.Compose([ transforms.Resize(256), transforms.CenterCrop(224), # transforms.ToTensor(), ]) elif aug=='once': transform = transforms.Compose([ transforms.RandomResizedCrop(224, scale=(0.5, 1.0)), transforms.RandomHorizontalFlip(), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]) elif aug=='once_pre': transform = transforms.Compose([ transforms.RandomResizedCrop(224, scale=(0.5, 1.0)), transforms.RandomHorizontalFlip(), # transforms.ToTensor(), # transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]) elif aug=='twice': transform = TransformTwice(transforms.Compose([ transforms.RandomResizedCrop(224, scale=(0.5, 1.0)), transforms.RandomHorizontalFlip(), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ])) elif aug=='twice_pre': transform = TransformTwice(transforms.Compose([ transforms.RandomResizedCrop(224, scale=(0.5, 1.0)), transforms.RandomHorizontalFlip(), # transforms.ToTensor(), # transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ])) elif aug=='ktimes': transform = TransformKtimes(transforms.Compose([ transforms.RandomResizedCrop(224, scale=(0.5, 1.0)), transforms.RandomHorizontalFlip(), transforms.ToTensor(), transforms.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]) ]), k=10) dataset = ImageFolder(transform=transform, samples=samples_30) return dataset def ImageNetLoader30(batch_size, num_workers=2, path='./data/datasets/ImageNet/', subset='A', aug=None, shuffle=False, subfolder='train'): dataset = ImageNet30(path, subset, aug, subfolder) dataloader_30 = DataLoader(dataset, batch_size=batch_size, shuffle=shuffle, num_workers=num_workers, pin_memory=True) return dataloader_30 def ImageNetLoader30_pre(batch_size, num_workers=2, path='./data/datasets/ImageNet/', subset='A', aug=None, shuffle=False, subfolder='train'): dataset = ImageNet30(path, subset, aug, subfolder) if shuffle: # Shuffling is done for training. For training, use fast_collate2, and for testing use fast_collate dataloader_30 = DataLoader(dataset, batch_size=batch_size, shuffle=shuffle, num_workers=num_workers, pin_memory=True, collate_fn=fast_collate2) else: dataloader_30 = DataLoader(dataset, batch_size=batch_size, shuffle=shuffle, num_workers=num_workers, pin_memory=True, collate_fn=fast_collate) dataloader_30.labeled_length = 882 return dataloader_30 def ImageNetLoader882(batch_size, num_workers=2, path='./data/datasets/ImageNet/', aug=None, shuffle=False, subfolder='train'): dataset = ImageNet882(aug=aug, subfolder=subfolder, path=path) dataloader_882 = DataLoader(dataset, batch_size=batch_size, shuffle=shuffle, num_workers=num_workers, pin_memory=True) dataloader_882.labeled_length = len(dataset) return dataloader_882 def ImageNetLoader882_pre(batch_size, num_workers=2, path='./data/datasets/ImageNet/', aug=None, shuffle=False, subfolder='train'): dataset = ImageNet882(aug=aug, subfolder=subfolder, path=path) dataloader_882 = DataLoader(dataset, batch_size=batch_size, shuffle=shuffle, num_workers=num_workers, pin_memory=True, collate_fn=fast_collate2) dataloader_882.labeled_length = len(dataset) return dataloader_882 def ImageNetLoader882_30Mix(batch_size, num_workers=2, path='./data/datasets/ImageNet/', unlabeled_subset='A', aug=None, shuffle=False, subfolder='train', unlabeled_batch_size=64): dataset_labeled = ImageNet882(aug=aug, subfolder=subfolder, path=path) dataset_unlabeled = ImageNet30(path, unlabeled_subset, aug, subfolder) dataset= ConcatDataset((dataset_labeled, dataset_unlabeled)) labeled_idxs = range(len(dataset_labeled)) unlabeled_idxs = range(len(dataset_labeled), len(dataset_labeled)+len(dataset_unlabeled)) batch_sampler = TwoStreamBatchSampler(labeled_idxs, unlabeled_idxs, batch_size, unlabeled_batch_size) loader = data.DataLoader(dataset, batch_sampler=batch_sampler, num_workers=num_workers) loader.labeled_length = len(dataset_labeled) loader.unlabeled_length = len(dataset_unlabeled) return loader def ImageNetLoader882_30Mix_pre(batch_size, num_workers=2, path='./data/datasets/ImageNet/', unlabeled_subset='A', aug=None, shuffle=False, subfolder='train', unlabeled_batch_size=64): dataset_labeled = ImageNet882(aug=aug, subfolder=subfolder, path=path) dataset_unlabeled = ImageNet30(path, unlabeled_subset, aug, subfolder) dataset= ConcatDataset((dataset_labeled, dataset_unlabeled)) labeled_idxs = range(len(dataset_labeled)) unlabeled_idxs = range(len(dataset_labeled), len(dataset_labeled)+len(dataset_unlabeled)) batch_sampler = TwoStreamBatchSampler(labeled_idxs, unlabeled_idxs, batch_size, unlabeled_batch_size) loader = data.DataLoader(dataset, batch_sampler=batch_sampler, num_workers=num_workers, collate_fn=fast_collate2) loader.labeled_length = len(dataset_labeled) loader.unlabeled_length = len(dataset_unlabeled) return loader def fast_collate(batch): imgs = [img[0] for img in batch] targets = torch.tensor([target[1] for target in batch], dtype=torch.int64) idxs = torch.tensor([idx[2] for idx in batch], dtype=torch.int64) w = imgs[0].size[0] h = imgs[0].size[1] tensor = torch.zeros((len(imgs), 3, h, w), dtype=torch.uint8) for i, img in enumerate(imgs): nump_array = np.asarray(img, dtype=np.uint8) tens = torch.from_numpy(nump_array) if (nump_array.ndim < 3): nump_array = np.expand_dims(nump_array, axis=-1) nump_array = np.rollaxis(nump_array, 2) tensor[i] += torch.from_numpy(nump_array) return tensor, targets, idxs def fast_collate2(batch): targets = torch.tensor([target[1] for target in batch], dtype=torch.int64) idxs = torch.tensor([idx[2] for idx in batch], dtype=torch.int64) imgs = [img[0][0] for img in batch] w = imgs[0].size[0] h = imgs[0].size[1] tensor = torch.zeros((len(imgs), 3, h, w), dtype=torch.uint8) for i, img in enumerate(imgs): nump_array = np.asarray(img, dtype=np.uint8) tens = torch.from_numpy(nump_array) if (nump_array.ndim < 3): nump_array = np.expand_dims(nump_array, axis=-1) nump_array = np.rollaxis(nump_array, 2) tensor[i] += torch.from_numpy(nump_array) imgs1 = [img[0][1] for img in batch] w = imgs1[0].size[0] h = imgs1[0].size[1] tensor1 = torch.zeros((len(imgs1), 3, h, w), dtype=torch.uint8) for i, img in enumerate(imgs1): nump_array = np.asarray(img, dtype=np.uint8) tens = torch.from_numpy(nump_array) if (nump_array.ndim < 3): nump_array = np.expand_dims(nump_array, axis=-1) nump_array = np.rollaxis(nump_array, 2) tensor1[i] += torch.from_numpy(nump_array) return tensor, tensor1, targets, idxs

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b815a26bf853b7e184acd0f987dc34c9c666f316

16

bzl

Python

version.bzl

UebelAnon/rules_rust

51c447857250b308a52f42304ce6ba063ee40329

[ "Apache-2.0" ]

null

version.bzl

UebelAnon/rules_rust

51c447857250b308a52f42304ce6ba063ee40329

[ "Apache-2.0" ]

null

version.bzl

UebelAnon/rules_rust

51c447857250b308a52f42304ce6ba063ee40329

[ "Apache-2.0" ]

null

VERSION = 0.9.0

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1

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null

0

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5

b816c7a67c1fcc38d333f31043dd04ab95ad0a13

27

py

Python

Activities/running_activity.py

lvraikkonen/DailySportsTracker

e60a1fc4ff33895676b8abaf6a758aca78870909

[ "Apache-2.0" ]

null

Activities/running_activity.py

lvraikkonen/DailySportsTracker

e60a1fc4ff33895676b8abaf6a758aca78870909

[ "Apache-2.0" ]

null

Activities/running_activity.py

lvraikkonen/DailySportsTracker

e60a1fc4ff33895676b8abaf6a758aca78870909

[ "Apache-2.0" ]

null

# Parse running activities

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5

629a33dad94b74044a1561f0363c41497213d7fb

135

py

Python

pyActionRec/__init__.py

Tikquuss/anet2016-cuhk

a742e1686fbeef8e35b7d792542f3b89aa46fa24

[ "BSD-2-Clause" ]

1

2020-10-28T08:24:17.000Z

pyActionRec/__init__.py

Tikquuss/anet2016-cuhk

a742e1686fbeef8e35b7d792542f3b89aa46fa24

[ "BSD-2-Clause" ]

null

pyActionRec/__init__.py

Tikquuss/anet2016-cuhk

a742e1686fbeef8e35b7d792542f3b89aa46fa24

[ "BSD-2-Clause" ]

null

import os import sys sys.path.append(os.path.join(os.environ['ANET_HOME'], "pyActionRec")) from config import ANET_CFG import anet_db

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5

62a7ec6214d2f5da19bff09f4f69636ffea37435

3,422

py

Python

mongoconnector.py

alexbredo/site-packages

cd104ad21c00acc6984e26e35031fda8f4e93fc0

[ "BSD-2-Clause" ]

null

mongoconnector.py

alexbredo/site-packages

cd104ad21c00acc6984e26e35031fda8f4e93fc0

[ "BSD-2-Clause" ]

1

2021-03-24T17:24:17.000Z

mongoconnector.py

alexbredo/site-packages

cd104ad21c00acc6984e26e35031fda8f4e93fc0

[ "BSD-2-Clause" ]

null

# Copyright (c) 2014 Alexander Bredo # All rights reserved. # # Redistribution and use in source and binary forms, with or # without modification, are permitted provided that the # following conditions are met: # # 1. Redistributions of source code must retain the above # copyright notice, this list of conditions and the following # disclaimer. # # 2. Redistributions in binary form must reproduce the above # copyright notice, this list of conditions and the following # disclaimer in the documentation and/or other materials # provided with the distribution. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND # CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, # INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF # MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE # DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR # CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES # (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE # GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR # BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF # LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT # OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. # -*- coding: utf-8 -*- from pymongo import MongoClient class MongoConnector(object): def __init__(self, host, port, database, collection, username=None, password=None): self.__client = MongoClient(host, port) self.__db = self.__client['alarm-center'] if username and password: self.__db.authenticate(username, password) self.__collection = self.__db[collection] def count(self): return self.getCollection().count() def getCollection(self): return self.__collection def find(self, condition): return self.getCollection().find(condition) # Group+Count with Map-Reduce def getGroupedCollection(self, field, condition={}): return self.getCollection().group({field:1}, condition, {"count": 0}, 'function(obj, prev){prev.count++}') def getGroupedCollectionCount(self, field, condition={}): return len(self.getGroupedCollection(field, condition)) def CountByField(field, value): return self.find({field: re.compile(value, re.IGNORECASE)}).count() def insert(self, service, timestamp, ip, port, type, command, successful, session): data = dict(service=service, timestamp=timestamp, ip=ip, port=port, type=type, command=command, successful=successful, session=session) return self.getCollection().insert(data) # TODO: # Range Zeit. 1 Tag. Nach 30 Tagen Inhalte löschen # THRESHOLD PER HOST/SVC # def getFieldMaxValue(self, field): # return self.getCollection().find_one(cond={"session": ses['session']},sort=[("timestamp", -1)])['timestamp'] # def getFieldMinValue(self, field): # return self.getCollection().find_one(sort=[(field, 1)])[field] #for ses in self.getGroupedCollection('session'): # print ses['session'] # print ses['count'] # print "lmax %s" % events.find({"session": ses['session']}).sort([("timestamp", -1)]).limit(1)[0]['timestamp'] # print "lmin %s" % events.find({"session": ses['session']}).sort([("timestamp", 1)]).limit(1)[0]['timestamp']

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1

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5

62c76d27700df34b85869e7a0bcbaa45cfae238c

223

py

Python

tests/test_preparation.py

satishukadam/regression

a135bf99411fc22ab71297727e4542cb505b4bcf

[ "MIT" ]

null

tests/test_preparation.py

satishukadam/regression

a135bf99411fc22ab71297727e4542cb505b4bcf

[ "MIT" ]

7

2019-11-07T15:11:32.000Z

2019-11-07T15:11:41.000Z

tests/test_preparation.py

satishukadam/regression

a135bf99411fc22ab71297727e4542cb505b4bcf

[ "MIT" ]

null

from configs import config from regression.preparation import load_dataset, get_features def test_preparation_get_features(): assert get_features(load_dataset())[0] == config.NUMERICAL_FEATURES, 'test successful'

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5

62d6d1b2a9cee9b1bce12c5b35819974a5fc3287

247

py

Python

mediapanel/config/__init__.py

mediapanel/util

0af19d13c1cc9dc32608ee61cb2e8471352c7a64

[ "MIT" ]

null

mediapanel/config/__init__.py

mediapanel/util

0af19d13c1cc9dc32608ee61cb2e8471352c7a64

[ "MIT" ]

1

2020-04-03T13:20:06.000Z

mediapanel/config/__init__.py

mediapanel/util

0af19d13c1cc9dc32608ee61cb2e8471352c7a64

[ "MIT" ]

null

# flake8: noqa """ Container module for mediaPanel configuration classes. """ from .general import GeneralConfig from .layout import LayoutConfig from .events import EventsConfig from .ads import AdsConfig, AdsVerticalConfig, AdsHorizontalConfig

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5

62f8f53a51de9575954b7cdd0ee0cede6d963e00

46

py

Python

python/testData/inspections/RedundantParenthesesMore_after.py

jnthn/intellij-community

8fa7c8a3ace62400c838e0d5926a7be106aa8557

[ "Apache-2.0" ]

2

2019-04-28T07:48:50.000Z

2020-12-11T14:18:08.000Z

python/testData/inspections/RedundantParenthesesMore_after.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

173

2018-07-05T13:59:39.000Z

2018-08-09T01:12:03.000Z

python/testData/inspections/RedundantParenthesesMore_after.py

Cyril-lamirand/intellij-community

60ab6c61b82fc761dd68363eca7d9d69663cfa39

[ "Apache-2.0" ]

2

2020-03-15T08:57:37.000Z

2020-04-07T04:48:14.000Z

while (close_hr - current_hr_it) >= .5: pass

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Python

webdriver/tests/element_send_keys/__init__.py

ziransun/wpt

ab8f451eb39eb198584d547f5d965ef54df2a86a

[ "BSD-3-Clause" ]

14,668

2015-01-01T01:57:10.000Z

2022-03-31T23:33:32.000Z

webdriver/tests/element_send_keys/__init__.py

ziransun/wpt

ab8f451eb39eb198584d547f5d965ef54df2a86a

[ "BSD-3-Clause" ]

7,642

2018-05-28T09:38:03.000Z

2022-03-31T20:55:48.000Z

webdriver/tests/element_send_keys/__init__.py

ziransun/wpt

ab8f451eb39eb198584d547f5d965ef54df2a86a

[ "BSD-3-Clause" ]

5,941

2015-01-02T11:32:21.000Z

2022-03-31T16:35:46.000Z

def map_files_to_multiline_text(files): return "\n".join(map(lambda f: str(f), files))

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py

Python

payment/views.py

rblcoder/backend-cetak

0009ed2e535cbeb17da9cdd057b91b6faac3f7bf

[ "BSD-3-Clause" ]

null

payment/views.py

rblcoder/backend-cetak

0009ed2e535cbeb17da9cdd057b91b6faac3f7bf

[ "BSD-3-Clause" ]

null

payment/views.py

rblcoder/backend-cetak

0009ed2e535cbeb17da9cdd057b91b6faac3f7bf

[ "BSD-3-Clause" ]

null

import datetime import json from django.shortcuts import render # Create your views here.

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py

Python

yletunnus/urls.py

seitztimo/tunnistamo

666601489d38ab168f9a2e2020f7441c233282a9

[ "MIT" ]

8

2018-11-13T06:05:07.000Z

2021-09-18T22:01:52.000Z

yletunnus/urls.py

seitztimo/tunnistamo

666601489d38ab168f9a2e2020f7441c233282a9

[ "MIT" ]

185

2017-06-08T12:48:47.000Z

2022-03-22T08:26:36.000Z

yletunnus/urls.py

seitztimo/tunnistamo

666601489d38ab168f9a2e2020f7441c233282a9

[ "MIT" ]

19

2017-06-08T13:02:37.000Z

2021-02-15T13:10:35.000Z

from allauth.socialaccount.providers.oauth2.urls import default_urlpatterns from .provider import YleTunnusProvider urlpatterns = default_urlpatterns(YleTunnusProvider)

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Python

tests/test_fbro.py

MartinThoma/fbro

9febbad4bcc1d568310bff51779e46100d9f6b95

[ "MIT" ]

null

tests/test_fbro.py

MartinThoma/fbro

9febbad4bcc1d568310bff51779e46100d9f6b95

[ "MIT" ]

1

2020-04-18T21:07:49.000Z

tests/test_fbro.py

MartinThoma/fbro

9febbad4bcc1d568310bff51779e46100d9f6b95

[ "MIT" ]

null

#!/usr/bin/env python """Tests for `fbro` package.""" # First party modules import fbro def test_version(): assert fbro.__version__.count(".") == 2

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Python

tests/mega/match/values/collection_test.py

felipead/sqs-mega-python

82da3b1650a891336c13c80648edda3d3d2967de

[ "MIT" ]

null

tests/mega/match/values/collection_test.py

felipead/sqs-mega-python

82da3b1650a891336c13c80648edda3d3d2967de

[ "MIT" ]

1

2020-05-19T18:57:05.000Z

tests/mega/match/values/collection_test.py

mega-distributed/sqs-mega-python

82da3b1650a891336c13c80648edda3d3d2967de

[ "MIT" ]

null

import pytest from parameterized import parameterized from mega.match.functions import eq, gt, not_, match, one_of, gte, and_, lt from mega.match.values import Collection from mega.match.values.value import RightHandSideTypeError, LeftHandSideTypeError def test_empty_collection_rhs_is_equal_to_none_lhs(): assert Collection([]).equal(None) is True def test_empty_collection_rhs_matches_none_lhs(): assert Collection([]).match(None) is True def test_non_empty_collection_rhs_is_not_equal_to_none_lhs(): assert Collection([1, 2, 3]).equal(None) is False def test_non_empty_collection_rhs_does_not_match_none_lhs(): assert Collection([1, 2, 3]).match(None) is False @parameterized.expand([ [[1], [1]], [['a'], ['a']], [[None], [None]], [[1, 2, 3], (1, 2, 3)], [[1, 2, 3], [1, 2, 3]], [[1, 2, 3], {1, 2, 3}], [[1, 2, 3], [3, 2, 1]], [[1, 2, 3], [eq(2), 3, 1]], [[1, 2, 3], [3, gt(1), not_(5)]], [['999', '998', '997'], [997, 998, 999]], [['foo', 'bar'], ['bar', one_of('foo', 'FOO', 'Foo', '_foo_')]], [['foo', 'bar', 'barz'], ['bar', match(r'bar[zZ]'), eq('foo')]], [['Raphael', 'Leonardo', 'Donatello', 'Venus de Milo', 'Michelangelo'], ['Leonardo', match(r'[Dd]onatel.*'), 'Raphael', 'Michelangelo', match(r'Venus [Dd]e Milo')]] ]) def test_collection_rhs_is_equal_to_collection_lhs(lhs, rhs): assert Collection(rhs).equal(lhs) is True @parameterized.expand([ [[], ['a', 'b', 'c']], [['five'], []], [[1], [2]], [['a'], ['D']], [[None], ['foo', 'bar']], [[1, 2, 3], (1, 2, 3, 4)], [[1, 2, 3], [3, 5, 1]], [['foo', 'bar'], ['bar']], [['foo', 'bar'], ['foo', 'BAR']], [['foo', 'bar'], ['bar', not_(one_of('foo', 'FOO', 'Foo', '_foo_'))]], [['Raphael', 'Leonardo', 'DANTE', 'Venus de Milo', 'Michelangelo'], ['Leonardo', match(r'[Dd]onatel.*'), 'Raphael', 'Michelangelo', match(r'Venus [Dd]e Milo')]], ]) def test_collection_rhs_is_not_equal_to_collection_lhs(lhs, rhs): assert Collection(rhs).equal(lhs) is False @parameterized.expand([ [[1, 2, 3], [1, 2, 3]], [['a', 'b', 'c'], ['c', 'b', 'a']], [[1, 2, 3, 4, 5], [3, 4, gte(5)]], [['bar', 'foo', 'barz'], ['foo', 'bar']], [['foo', 'bar'], ['bar', one_of('foo', 'FOO', 'Foo', '_foo_')]], [['foo', 'bar', 'barz'], ['bar', match(r'bar[zZ]'), eq('foo')]], [['Raphael', 'Leonardo', 'Donatello', 'Venus de Milo', 'Michelangelo'], [match(r'[Dd]onatel.*'), 'Michelangelo']] ]) def test_collection_rhs_matches_collection_lhs(lhs, rhs): assert Collection(rhs).match(lhs) is True @parameterized.expand([ [[1, 2, 3], [1, 2, 3, 4]], [['a', 'b', 'c'], ['c', 'd', 'a']], [[1, 2, 3, 4, 5], [3, 4, gt(5)]], [['bar', 'foo', 'barz'], ['foo', 'BAR']], [['foo'], ['bar', one_of('foo', 'FOO', 'Foo', '_foo_')]], [['bar', 'barz'], ['bar', match(r'bar[zZ]'), eq('foo')]], [['Raphael', 'Leonardo', 'Donatello', 'Venus de Milo', 'Michelangelo'], ['Dante', 'Michelangelo']] ]) def test_collection_rhs_does_not_match_collection_lhs(lhs, rhs): assert Collection(rhs).match(lhs) is False @parameterized.expand([ [1, [1, 2, 3]], ['bar', ['foo', match(r'[Bb]ar.*'), 'barz']], ]) def test_collection_rhs_matches_scalar_lhs(lhs, rhs): assert Collection(rhs).match(lhs) is True @parameterized.expand([ [None, [5]], [42, [1, 2, 3]], ['FooBar', ['foo', match(r'[Bb]ar.*'), 'barz']], ]) def test_collection_rhs_does_not_match_scalar_lhs(lhs, rhs): assert Collection(rhs).match(lhs) is False @parameterized.expand([ [None, [None]], ['a', ['b', 'c', 'a']], [1, [1, 2, gt(3)]], ['bar', ['foo', match(r'[Bb]ar.*'), 'barz']], ]) def test_collection_rhs_contains_scalar_lhs(lhs, rhs): assert Collection(rhs).contains(lhs) is True @parameterized.expand([ [None, [42]], ['foobar', ['b', 'c', 'a']], [1000000, [1, 2, and_(gte(3), lt(100))]], ['BAR', ['foo', match(r'[Bb]ar.*'), 'barz']], ]) def test_collection_rhs_does_not_contain_scalar_lhs(lhs, rhs): assert Collection(rhs).contains(lhs) is False @parameterized.expand([ [None], [''], ['2020-05-15#!'], [True], [1999], [object()], [{'foo': 'bar'}] ]) def test_collection_does_not_accept_invalid_rhs(rhs): with pytest.raises(RightHandSideTypeError) as e: Collection(rhs) assert '[Collection] Invalid right-hand side <{}>'.format(type(rhs).__name__) in str(e.value) @parameterized.expand([ [0, []], [1, [1]], ['a', ['a', 'b', 'c']], [1, ['a', 'b', 'c']], [True, [True, False]] ]) def test_collection_equal_does_not_accept_scalar_lhs(lhs, rhs): with pytest.raises(LeftHandSideTypeError) as e: Collection(rhs).equal(lhs) assert '[Collection.equal] Could not apply left-hand side <{}>'.format(type(lhs).__name__) in str(e.value) @parameterized.expand([ [object(), [1, 2, 3]], [{'foo': 'bar'}, ['foo', 'bar']], ]) def test_collection_equal_does_not_accept_invalid_lhs(lhs, rhs): with pytest.raises(LeftHandSideTypeError) as e: Collection(rhs).equal(lhs) assert '[Collection.equal] Could not apply left-hand side <{}>'.format(type(lhs).__name__) in str(e.value) @parameterized.expand([ [[1, 'a', 3], ['a', lt(5), 'b']], [[1, 2, 3], ['a', 'b']], [[True], ['a', 'b', 'c']], [['Raphael', 'Leonardo', 'Donatello', 42, 'Venus de Milo', 'Michelangelo'], ['Leonardo', match(r'[Dd]onatel.*'), 'Raphael', 'Michelangelo', match(r'Venus [Dd]e Milo')]] ]) def test_collection_equal_does_not_accept_collection_lhs_with_incompatible_types(lhs, rhs): with pytest.raises(LeftHandSideTypeError) as e: Collection(rhs).equal(lhs) assert ( '[Collection.equal] Could not apply left-hand side <list> ([…]) to right-hand side <list> ([…]). ' 'Collections have incompatible types.' in str(e.value) ) @parameterized.expand([ [object(), [1, 2, 3]], [{'foo': 'bar'}, ['foo', 'bar']], ]) def test_collection_match_does_not_accept_invalid_lhs(lhs, rhs): with pytest.raises(LeftHandSideTypeError) as e: Collection(rhs).match(lhs) assert '[Collection.match] Could not apply left-hand side <{}>'.format(type(lhs).__name__) in str(e.value) @parameterized.expand([ [[1, 'a', 3], ['a', lt(5), 'b']], [['Raphael', 'Leonardo', 'Donatello', 42, 'Venus de Milo', 'Michelangelo'], ['Leonardo', match(r'[Dd]onatel.*'), 'Raphael', 'Michelangelo', match(r'Venus [Dd]e Milo')]] ]) def test_collection_match_does_not_accept_collection_lhs_with_incompatible_types(lhs, rhs): with pytest.raises(LeftHandSideTypeError) as e: Collection(rhs).match(lhs) assert '[Collection.match] Could not apply left-hand side' in str(e.value) assert 'Collections have incompatible types.' in str(e.value) @parameterized.expand([ [5, ['a', eq(5), 'b']], [True, ['a', 'b']], ['one', [1, 2, 3]] ]) def test_collection_match_does_not_accept_scalar_lhs_with_incompatible_types(lhs, rhs): with pytest.raises(LeftHandSideTypeError) as e: Collection(rhs).match(lhs) assert '[Collection.match] Could not apply left-hand side' in str(e.value) assert 'Left-hand side is not compatible with collection type.' in str(e.value) @parameterized.expand([ ['foo', [1, 2, 3]], [42, ['a', match('[Bb].*'), 'c']], [['foo'], ['foo', 'bar']], [[1, 2, 3], [1, 2, 3, 4, 5, 6]], [{'foo': 'bar'}, ['foo', 'bar']], ]) def test_collection_contains_does_not_accept_invalid_lhs(lhs, rhs): with pytest.raises(LeftHandSideTypeError) as e: Collection(rhs).contains(lhs) assert '[Collection.contains] Could not apply left-hand side <{}>'.format(type(lhs).__name__) in str(e.value) @parameterized.expand([ [5, ['a', eq(5), 'b']], [True, ['a', 'b']], ['one', [1, 2, 3]] ]) def test_collection_contains_does_not_accept_scalar_lhs_with_incompatible_types(lhs, rhs): with pytest.raises(LeftHandSideTypeError) as e: Collection(rhs).contains(lhs) assert '[Collection.contains] Could not apply left-hand side' in str(e.value) assert 'Left-hand side is not compatible with collection type.' in str(e.value)

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py

Python

Chapter 07/Chap07_Example7.47.py

Anancha/Programming-Techniques-using-Python

e80c329d2a27383909d358741a5cab03cb22fd8b

[ "MIT" ]

null

Chapter 07/Chap07_Example7.47.py

Anancha/Programming-Techniques-using-Python

e80c329d2a27383909d358741a5cab03cb22fd8b

[ "MIT" ]

null

Chapter 07/Chap07_Example7.47.py

Anancha/Programming-Techniques-using-Python

e80c329d2a27383909d358741a5cab03cb22fd8b

[ "MIT" ]

null

myl1 = [1,2,3,4,5] myl3 = myl1 + 6 print(myl3)

11.75

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py

Python

venv/lib/python3.8/site-packages/poetry/console/commands/update.py

Retraces/UkraineBot

3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/poetry/console/commands/update.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/poetry/console/commands/update.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/71/fb/dc/ddd9d4c4d76c4a0959ece9968a38e3b0429b9b6157ec9afb70da86d584

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5

3de1b371fc3dcbab0273952dd2c24bcf8a77e5c9

324

py

Python

Python/empire/system/processes/process_util.py

Tombmyst/Empire

f28782787c5fa9127e353549b73ec90d3c82c003

[ "Apache-2.0" ]

null

Python/empire/system/processes/process_util.py

Tombmyst/Empire

f28782787c5fa9127e353549b73ec90d3c82c003

[ "Apache-2.0" ]

null

Python/empire/system/processes/process_util.py

Tombmyst/Empire

f28782787c5fa9127e353549b73ec90d3c82c003

[ "Apache-2.0" ]

null

class ProcessUtil: pass # TODO: in separated classes: # facade the psutil lib (in this class) # check for facilitating the Popen call (in Process class that should be instantiable, as well as providing static methods to spawn process returning the raw Popen object) # keep track of spawned system

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py

Python

starter_code/Learning File.py

kor-happydude/kits19

4db8e9bb95807e2f59a3bff4e5b13322ad811c3d

[ "MIT" ]

null

starter_code/Learning File.py

kor-happydude/kits19

4db8e9bb95807e2f59a3bff4e5b13322ad811c3d

[ "MIT" ]

null

starter_code/Learning File.py

kor-happydude/kits19

4db8e9bb95807e2f59a3bff4e5b13322ad811c3d

[ "MIT" ]

null

##Make a python file for learning

17

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py

Python

misc_code/monkey_patching_class/test.py

jmcguire/learning

acdb5e420d60dc4dd816e124c59f99c17310002b

[ "MIT" ]

null

misc_code/monkey_patching_class/test.py

jmcguire/learning

acdb5e420d60dc4dd816e124c59f99c17310002b

[ "MIT" ]

null

misc_code/monkey_patching_class/test.py

jmcguire/learning

acdb5e420d60dc4dd816e124c59f99c17310002b

[ "MIT" ]

null

import alpha import patch_alpha patch_alpha.patch() me = alpha.Alpha('justin') me.speak()

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py

Python

replace_package_name/__init__.py

OpenVoiceOS/template-package-repo

993ae6057f7c7b8c3dc6719c11c6bb030336c53c

[ "Apache-2.0" ]

null

replace_package_name/__init__.py

OpenVoiceOS/template-package-repo

993ae6057f7c7b8c3dc6719c11c6bb030336c53c

[ "Apache-2.0" ]

5

2022-02-24T23:57:43.000Z

2022-02-25T00:14:07.000Z

replace_package_name/__init__.py

OpenVoiceOS/template-package-repo

993ae6057f7c7b8c3dc6719c11c6bb030336c53c

[ "Apache-2.0" ]

null

# a wild commit appeared

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9aa934db5dd2796abb426e5f037847ac8ef37df8

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py

Python

src/tracker/mot/FairMOT/src/lib/trains/train_factory.py

ToumaKazusa3/WP-MTMCT

915795f798075453916f41e8d2a900ab4884d9ae

[ "Apache-2.0" ]

1

2021-07-13T06:14:49.000Z

src/tracker/mot/FairMOT/src/lib/trains/train_factory.py

ToumaKazusa3/WP-MTMCT

915795f798075453916f41e8d2a900ab4884d9ae

[ "Apache-2.0" ]

null

src/tracker/mot/FairMOT/src/lib/trains/train_factory.py

ToumaKazusa3/WP-MTMCT

915795f798075453916f41e8d2a900ab4884d9ae

[ "Apache-2.0" ]

null

from __future__ import absolute_import from __future__ import division from __future__ import print_function from .mot import MotTrainer train_factory = { 'mot': MotTrainer, }

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5

9abaccdc764633e82ccd0511d67bc3a323b928e8

116

py

Python

framework/cei_python3/exception/ceiexception.py

macomfan/cei

49efb1baf39e0bb3e390791fafa3508226644975

[ "MIT" ]

2

2020-05-09T01:54:04.000Z

2020-12-31T02:36:45.000Z

framework/cei_python3/exception/ceiexception.py

macomfan/cei

49efb1baf39e0bb3e390791fafa3508226644975

[ "MIT" ]

27

2020-04-18T11:21:07.000Z

2022-02-26T22:22:33.000Z

framework/cei_python3/exception/ceiexception.py

macomfan/cei

49efb1baf39e0bb3e390791fafa3508226644975

[ "MIT" ]

1

2020-04-26T10:58:02.000Z

class CEIException(Exception): def __init__(self, error_message): self.error_message = error_message

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null

0

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5

9ac16014002318c702057aeb3b5320e8e23c7db0

137

py

Python

coindata/__init__.py

mertdede/coindata

e38dae98ea4fea90fd35b53a39596df4d6b174c9

[ "MIT" ]

3

2018-03-23T12:39:01.000Z

2018-07-17T11:40:25.000Z

coindata/__init__.py

mertdede/coindata

e38dae98ea4fea90fd35b53a39596df4d6b174c9

[ "MIT" ]

null

coindata/__init__.py

mertdede/coindata

e38dae98ea4fea90fd35b53a39596df4d6b174c9

[ "MIT" ]

null

# -*- coding: utf-8 -*- from .parser import vector_of as get from .cacher import cache from .request import ISO8601 from . import utils

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1

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1

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5

9ad810c875cfd488e81c576b6cff38fe9ecef349

15,513

py

Python

box/tests/test_client.py

rca/box

9232593d0ad9367b27aea7541d216dbbb443961a

[ "Apache-2.0" ]

null

box/tests/test_client.py

rca/box

9232593d0ad9367b27aea7541d216dbbb443961a

[ "Apache-2.0" ]

null

box/tests/test_client.py

rca/box

9232593d0ad9367b27aea7541d216dbbb443961a

[ "Apache-2.0" ]

null

import functools import json import mock import unittest from requests.exceptions import HTTPError from box import Client from box.models import FILE_URL, FOLDER_URL, FOLDERS_URL, UPDATE_FILE_URL, UPLOAD_FILE_URL class ClientTestCase(unittest.TestCase): def setUp(self): self.oauth2_client = mock.Mock() self.client = Client(self.oauth2_client) def test_add_tags(self): item = {'id': 1234} tags = ['foo'] added_tags = ['bar'] self.client.get_tags = mock.Mock() self.client.get_tags.return_value = tags[:] # make a copy of the list new_tags = self.client.add_tags(item, added_tags) expected_tags = tags + added_tags self.assertEqual(expected_tags, new_tags) url = FILE_URL.format(item['id']) self.oauth2_client.put.assert_called_with(url, data=json.dumps({'tags': expected_tags})) def test_add_tags_none_added(self): item = {'id': 1234} tags = ['foo'] added_tags = ['bar'] expected_tags = tags + added_tags self.client.get_tags = mock.Mock() self.client.get_tags.return_value = expected_tags new_tags = self.client.add_tags(item, added_tags) self.assertEqual(expected_tags, new_tags) self.assertEqual(False, self.oauth2_client.put.called) def test_create_folder(self): name = 'foo' parent = {'id': 0, 'name': 'root'} expected = {'status': 'ok'} self.oauth2_client.post().json.return_value = expected json_data = self.client.create_folder(name, parent=parent) payload = json.dumps({'name': name, 'parent': {'id': parent['id']}}) self.oauth2_client.post.assert_called_with(FOLDERS_URL, data=payload) self.assertEqual(expected, json_data) def test_delete(self): file_id = 123 self.client.delete({'id': file_id, 'etag': 1}) url = FILE_URL.format(file_id) self.oauth2_client.delete.assert_called_with(url, headers={'If-Match': 1}) def test_delete_folder(self): folder_id = 123 self.client.delete_folder({'id': folder_id}) url = FOLDER_URL.format(folder_id) self.oauth2_client.delete.assert_called_with(url, params={'recursive': False}) def test_delete_folder_recursive(self): folder_id = 123 self.client.delete_folder({'id': folder_id}, recursive=True) url = FOLDER_URL.format(folder_id) self.oauth2_client.delete.assert_called_with(url, params={'recursive': True}) def test_file_info(self): item = {'id': 1234} url = FILE_URL.format(item['id']) expected = {} self.oauth2_client.get.return_value.json.return_value = expected info = self.client.file_info(item) self.oauth2_client.get.assert_called_with(url, params={}) self.assertEqual(expected, info) def test_file_info_with_fields(self): item = {'id': 1234} url = FILE_URL.format(item['id']) expected = {} self.oauth2_client.get.return_value.json.return_value = expected info = self.client.file_info(item, fields='tags') self.oauth2_client.get.assert_called_with(url, params={'fields': 'tags'}) self.assertEqual(expected, info) def test_folders(self): """ Ensures only one item is returned even though the limit is 100 by default """ response = mock.Mock() response.json.return_value = {'total_count': 1, 'entries': ['folder']} self.oauth2_client.get.return_value = response folders = list(self.client.folder_items()) self.assertEqual(['folder'], folders) def test_folders_inner_limit(self): """ Ensures the limit is honored even if an upstream result contains more items """ response = mock.Mock() def get_json(get_mock): _args, _kwargs = get_mock.call_args return {'total_count': 100, 'entries': ['folder'] * _kwargs['params']['limit']} response.json.side_effect = functools.partial(get_json, self.oauth2_client.get) self.oauth2_client.get.return_value = response folders = list(self.client.folder_items(limit=10)) self.assertEqual(['folder']*10, folders) def test_get_etag(self): item = {'id': 1234} expected = 'etag' self.oauth2_client.get.return_value.json.return_value = {'etag': expected} etag = self.client.get_etag(item) self.assertEqual(expected, etag) def test_get_tags(self): item = {'id': 1234} expected = ['foo', 'bar'] self.oauth2_client.get.return_value.json.return_value = {'tags': expected} tags = self.client.get_tags(item) self.assertEqual(expected, tags) def test_remove_tags(self): item = {'id': 1234} tags = ['foo'] removed_tags = ['bar'] self.client.get_tags = mock.Mock() self.client.get_tags.return_value = tags + removed_tags new_tags = self.client.remove_tags(item, removed_tags) self.assertEqual(tags, new_tags) url = FILE_URL.format(item['id']) self.oauth2_client.put.assert_called_with(url, data=json.dumps({'tags': tags})) def test_remove_tags_none_removed(self): item = {'id': 1234} tags = ['foo'] removed_tags = ['bar'] self.client.get_tags = mock.Mock() self.client.get_tags.return_value = tags new_tags = self.client.remove_tags(item, removed_tags) self.assertEqual(tags, new_tags) self.assertEqual(False, self.oauth2_client.put.called) def test_total_count(self): """ Make sure additional requests aren't made when total_count is hit """ response = mock.Mock() def get_json(get_mock, total_count=1): _args, _kwargs = get_mock.call_args num_folders = min(_kwargs['params']['limit'], total_count) return {'total_count': total_count, 'entries': ['folder'] * num_folders} response.json.side_effect = functools.partial(get_json, self.oauth2_client.get) self.oauth2_client.get.return_value = response # wrap in list() call in order for the debugger step into folder_items(), # i.e., the generator has to be evaluated. list(self.client.folder_items(limit=10)) self.assertEqual(1, self.oauth2_client.get.call_count) def test_folders_outer_limit(self): """ Ensures multiple requests are made to honor the outer limit """ response = mock.Mock() response.json.return_value = {'total_count': 300, 'entries': ['folder'] * 100} self.oauth2_client.get.return_value = response folders = list(self.client.folder_items(limit=200)) self.assertEqual(['folder']*200, folders) def test_folders_parent_id(self): """ Ensures only one item is returned even though the limit is 100 by default """ response = mock.Mock() response.json.return_value = {'total_count': 300, 'entries': ['folder'] * 100} self.oauth2_client.get.return_value = response folders = list(self.client.folder_items(parent={'id': 123})) self.assertEqual(['folder']*100, folders) self.oauth2_client.get.assert_called_with( 'https://api.box.com/2.0/folders/123/items', params={'limit': 100, 'offset': 0} ) def test_set_tags(self): item = {'id': 123} tags = ['foo'] url = FILE_URL.format(item['id']) params = {'fields': 'tags'} data = json.dumps({'tags': tags}) self.client.set_tags(item, tags) self.oauth2_client.put.assert_called_with(url, data=data) def test_update(self): item = {'id': 1234} fileobj = mock.Mock() fileobj.name = 'foo.txt' self.client.update(item, fileobj, etag='etag') url = UPDATE_FILE_URL.format(item['id']) self.oauth2_client.post.assert_called_with( url, files={'filename': (fileobj.name, fileobj)}, headers={'If-Match': 'etag'} ) def test_update_etag_none(self): item = {'id': 1234} fileobj = mock.Mock() fileobj.name = 'foo.txt' self.client.file_info = mock.Mock() self.client.file_info.return_value = {'etag': 'et'} self.client.update(item, fileobj) self.client.file_info.assert_called_with(item, fields='etag') url = UPDATE_FILE_URL.format(item['id']) self.oauth2_client.post.assert_called_with( url, files={'filename': (fileobj.name, fileobj)}, headers={'If-Match': 'et'} ) def test_update_with_hash(self): item = {'id': 1234} fileobj = mock.Mock() fileobj.name = 'foo.txt' self.client.update(item, fileobj, etag='etag', content_hash='hash') url = UPDATE_FILE_URL.format(item['id']) self.oauth2_client.post.assert_called_with( url, files={'filename': (fileobj.name, fileobj)}, headers={ 'Content-MD5': 'hash', 'If-Match': 'etag', }, ) def test_update_file_info(self): expected = {'return': 'value'} self.oauth2_client.put.return_value.json.return_value = expected etag = 'etag' item = {'id': 1234} info = {'name': 'foo'} self.client.file_info = mock.Mock() self.client.file_info.return_value = {'etag': etag} response_json = self.client.update_file_info(item, info) url = FILE_URL.format(item['id']) self.oauth2_client.put.assert_called_with( url, data=json.dumps(info), headers={'If-Match': etag}) self.assertEqual(expected, response_json) def test_update_folder_info(self): expected = {'return': 'value'} self.oauth2_client.put.return_value.json.return_value = expected etag = 'etag' item = {'id': 1234} info = {'name': 'foo'} self.client.folder_info = mock.Mock() self.client.folder_info.return_value = {'etag': etag} response_json = self.client.update_folder_info(item, info) url = FOLDER_URL.format(item['id']) self.oauth2_client.put.assert_called_with( url, data=json.dumps(info), headers={'If-Match': etag}) self.assertEqual(expected, response_json) def test_upload(self): fileobj = mock.Mock() fileobj.name = 'foo.txt' parent = {'id': 0} expected = {'status': 'ok'} self.oauth2_client.post.return_value.json.return_value = expected response_json = self.client.upload(parent, fileobj) self.oauth2_client.post.assert_called_with( UPLOAD_FILE_URL, data={'parent_id': parent['id']}, files={'filename': (fileobj.name, fileobj)}, headers={}, ) self.assertEqual(expected, response_json) def test_upload_with_hash(self): fileobj = mock.Mock() fileobj.name = 'foo.txt' parent = {'id': 0} expected = {'status': 'ok'} self.oauth2_client.post.return_value.json.return_value = expected response_json = self.client.upload(parent, fileobj, content_hash='hash') self.oauth2_client.post.assert_called_with( UPLOAD_FILE_URL, data={'parent_id': parent['id']}, files={'filename': (fileobj.name, fileobj)}, headers={'Content-MD5': 'hash'}, ) self.assertEqual(expected, response_json) def test_upload_existing_file(self): fileobj = mock.Mock() parent = {'id': 0} # setup POST to have two responses self.oauth2_client.post.side_effect = [HTTPError] self.assertRaises(HTTPError, self.client.upload, parent, fileobj) def test_upload_or_update(self): fileobj = mock.Mock() fileobj.name = 'foo.txt' parent = {'id': 0} expected = {'status': 'ok'} self.oauth2_client.post.return_value.json.return_value = expected response_json, uploaded = self.client.upload_or_update(parent, fileobj) self.oauth2_client.post.assert_called_with( UPLOAD_FILE_URL, data={'parent_id': parent['id']}, files={'filename': (fileobj.name, fileobj)}, headers={}, ) self.assertEqual(expected, response_json) self.assertEqual(True, uploaded) def test_upload_or_update_with_hash(self): fileobj = mock.Mock() fileobj.name = 'foo.txt' parent = {'id': 0} expected = {'status': 'ok'} self.oauth2_client.post.return_value.json.return_value = expected response_json, uploaded = self.client.upload_or_update(parent, fileobj, content_hash='hash') self.oauth2_client.post.assert_called_with( UPLOAD_FILE_URL, data={'parent_id': parent['id']}, files={'filename': (fileobj.name, fileobj)}, headers={'Content-MD5': 'hash'}, ) self.assertEqual(expected, response_json) self.assertEqual(True, uploaded) def test_upload_or_update_existing_file(self): fileobj = mock.Mock() fileobj.name = 'foo.txt' parent = {'id': 0} error_response_mock = mock.Mock(status_code=409) error_json = {'context_info': {'conflicts': {'id': 1234, 'etag': 'etag'}}} error_response_mock.json.return_value = error_json error = HTTPError(response=error_response_mock) expected = {'status': 'ok'} response = mock.Mock() response.json.return_value = expected # setup POST to have two responses self.oauth2_client.post.side_effect = [error, response] response_json, uploaded = self.client.upload_or_update(parent, fileobj) self.oauth2_client.post.assert_called_with( UPDATE_FILE_URL.format(error_json['context_info']['conflicts']['id']), headers={'If-Match': error_json['context_info']['conflicts']['etag']}, files={'filename': (fileobj.name, fileobj)} ) self.assertEqual(expected, response_json) self.assertEqual(False, uploaded) def test_upload_or_update_existing_file_with_hash(self): fileobj = mock.Mock() fileobj.name = 'foo.txt' parent = {'id': 0} error_response_mock = mock.Mock(status_code=409) error_json = {'context_info': {'conflicts': {'id': 1234, 'etag': 'etag'}}} error_response_mock.json.return_value = error_json error = HTTPError(response=error_response_mock) expected = {'status': 'ok'} response = mock.Mock() response.json.return_value = expected self.oauth2_client.post.side_effect = [error, response] response_json, uploaded = self.client.upload_or_update(parent, fileobj, content_hash='hash') self.oauth2_client.post.assert_called_with( UPDATE_FILE_URL.format(error_json['context_info']['conflicts']['id']), headers={ 'If-Match': error_json['context_info']['conflicts']['etag'], 'Content-MD5': 'hash', }, files={'filename': (fileobj.name, fileobj)} ) self.assertEqual(expected, response_json) self.assertEqual(False, uploaded)

31.026

100

0.615935

1,875

15,513

4.8736

0.086933

0.051434

0.082294

0.039396

0.790764

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0.734625

0.725979

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15,513

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0.133127

0

null

0

1

0

null

0

5

b12c09aefa12a7f85eab97759c69540e33cf4a4a

499

py

Python

tests/test_corpus.py

polyswarm/polyswarm-client

1ce057725d7db59c3582e4cd3cf148cde7ddddeb

[ "MIT" ]

21

2018-09-15T00:12:42.000Z

2020-10-28T00:42:59.000Z

tests/test_corpus.py

polyswarm/polyswarm-client

1ce057725d7db59c3582e4cd3cf148cde7ddddeb

[ "MIT" ]

435

2018-09-05T18:53:21.000Z

2021-11-30T17:32:10.000Z

tests/test_corpus.py

polyswarm/polyswarm-client

1ce057725d7db59c3582e4cd3cf148cde7ddddeb

[ "MIT" ]

3

2019-07-26T00:14:47.000Z

2021-04-26T10:57:56.000Z

import os from polyswarmclient.corpus import DownloadToFileSystemCorpus def test_download_truth_artifact(): pass # d = DownloadToFileSystemCorpus() # t = d.download_truth() # assert os.path.exists(d.truth_db_pth) def test_download_raw_artifacts(): pass # d = DownloadToFileSystemCorpus() # d.download_and_unpack() # assert d.get_malicious_file_list() # assert d.get_benign_file_list() # d.generate_truth() # assert os.path.exists(d.truth_db_pth)

19.96

61

0.717435

62

499

5.451613

0.467742

0.04142

0.088757

0.100592

0.201183

0

0.186373

499

24

62

20.791667

0.832512

0.549098

0

0.333333

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true

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0

null

0

null

0

1

0

1

0

5

492152609ee2a872d396f494e4e77a0ac5a96ae3

31

py

Python

codechain/sdk/key/remotekeystore.py

CodeChain-io/codechain-sdk-python

e21420fe8e1105f23f04fc6ca3f18a444c2bf9a3

[ "0BSD" ]

11

2018-08-22T09:42:54.000Z

2019-11-30T07:19:42.000Z

codechain/sdk/key/remotekeystore.py

CodeChain-io/codechain-sdk-python

e21420fe8e1105f23f04fc6ca3f18a444c2bf9a3

[ "0BSD" ]

38

2019-07-22T06:13:39.000Z

2021-06-02T00:43:21.000Z

codechain/sdk/key/remotekeystore.py

CodeChain-io/codechain-sdk-python

e21420fe8e1105f23f04fc6ca3f18a444c2bf9a3

[ "0BSD" ]

5

2019-07-24T19:13:00.000Z

2020-03-18T12:13:27.000Z

class RemoteKeyStore: pass

10.333333

21

0.741935

3

31

7.666667

1

0

0.225806

31

2

22

15.5

0.958333

0

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0

true

0.5

0

0.5

0

1

0

null

0

1

0

null

0

1

0

5

4937fb73840599a353f023dd734dea35e26eec6a

95

py

Python

quantecon/optimize/__init__.py

imaginarymuffin72/start

d6130c1dac2e1ea87929d767a74fef5ab80157ec

[ "BSD-3-Clause" ]

null

quantecon/optimize/__init__.py

imaginarymuffin72/start

d6130c1dac2e1ea87929d767a74fef5ab80157ec

[ "BSD-3-Clause" ]

null

quantecon/optimize/__init__.py

imaginarymuffin72/start

d6130c1dac2e1ea87929d767a74fef5ab80157ec

[ "BSD-3-Clause" ]

null

""" Initialization of the optimize subpackage """ from .scalar_maximization import brent_max

13.571429

42

0.789474

11

95

6.636364

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0.136842

95

6

43

15.833333

0.890244

0.431579

0

1

0

true

0

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null

0

1

0

1

0

1

0

5

4970851403c95605e11c60a8c46fd920fb4bc4a9

79

py

Python

multisieve_coreference/__main__.py

mpvharmelen/coref_draft

30674e94bc9b3743bc9c9b01f26dc8e9b21cb6a8

[ "Apache-2.0" ]

null

multisieve_coreference/__main__.py

mpvharmelen/coref_draft

30674e94bc9b3743bc9c9b01f26dc8e9b21cb6a8

[ "Apache-2.0" ]

4

2019-06-14T08:55:32.000Z

2019-07-03T11:58:07.000Z

multisieve_coreference/__main__.py

mpvharmelen/coref_draft

30674e94bc9b3743bc9c9b01f26dc8e9b21cb6a8

[ "Apache-2.0" ]

1

2021-03-29T17:19:58.000Z

from multisieve_coreference.main import parse_args, main main(**parse_args())

19.75

56

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11

79

5.545455

0.636364

0.295082

0

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79

3

57

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null

0

1

0

1

0

5

770b9cfa7fb8b2d6b8e86175844fc414568a6f9e

14,066

py

Python

test_suite/gap/test_gap_state.py

AGlass0fMilk/mbed-os-bluetooth-integration-testsuite

0fbcfcc84b27ec82505192bf181abb1df024c53c

[ "Apache-2.0" ]

null

test_suite/gap/test_gap_state.py

AGlass0fMilk/mbed-os-bluetooth-integration-testsuite

0fbcfcc84b27ec82505192bf181abb1df024c53c

[ "Apache-2.0" ]

1

2021-12-13T20:47:57.000Z

test_suite/gap/test_gap_state.py

paul-szczepanek-arm/mbed-os-bluetooth-integration-testsuite-old

a3ef22262fcc5a367e346d272e88502287628a10

[ "Apache-2.0" ]

null

# Copyright (c) 2009-2020 Arm Limited # SPDX-License-Identifier: Apache-2.0 # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from time import sleep from typing import Mapping import pytest from common.ble_device import LEGACY_ADVERTISING_HANDLE, ADV_DURATION_FOREVER, ADV_MAX_EVENTS_UNLIMITED from common.fixtures import BoardAllocator class TestParams: def __init__(self): self.advFlags = ["LE_GENERAL_DISCOVERABLE", "BREDR_NOT_SUPPORTED"] self.advData = { "companyID": "004C", "ID": "02", "len": "15", "proximityUUID": "E20A39F473F54BC4A12F17D1AD07A961", "majorNumber": "0001", "minorNumber": "0001", "txPower": "C8" } self.advData = "".join(self.advData.values()) # Scan parameter self.scanTimeout = 2000 self.scanParams = [10, 10, False] # Set some connection parameters self.connectionParams = [50, 100, 0, 600] self.connectionTimeout = 10000 self.connectionScanParams = [100, 100, 0, False] def get_connection_args(self, address: Mapping[str, str]): connection_args = [address["address_type"], address["address"]] return connection_args @pytest.fixture(scope="module") def test_params(): yield TestParams() @pytest.fixture(scope="function") def peripheral(board_allocator: BoardAllocator, test_params: TestParams): device = board_allocator.allocate('peripheral') assert device is not None # initialize the ble stack device.ble.init() # setup advertising intervals device.advParams.setPrimaryInterval(100, 100) device.gap.setAdvertisingParameters(LEGACY_ADVERTISING_HANDLE) yield device device.ble.shutdown() board_allocator.release(device) @pytest.fixture(scope="function") def central(board_allocator: BoardAllocator): device = board_allocator.allocate('central') assert device is not None device.ble.init() yield device device.ble.shutdown() board_allocator.release(device) @pytest.fixture(scope="function") def peripheral_address(peripheral): yield peripheral.gap.getAddress().result @pytest.fixture(scope="function") def central_address(central): yield central.gap.getAddress().result @pytest.mark.ble41 def test_advertising(peripheral, peripheral_address, central, test_params): """validate that when a device is advertising and not disconnected, Gap::state.isAdvertisingActive==True """ # start advertising on device 1 peripheral.advParams.setType("CONNECTABLE_UNDIRECTED") peripheral.gap.setAdvertisingParameters(LEGACY_ADVERTISING_HANDLE) peripheral.gap.startAdvertising(LEGACY_ADVERTISING_HANDLE, ADV_DURATION_FOREVER, ADV_MAX_EVENTS_UNLIMITED) # get the Gap state of device 1 and assert that it is equal to what is expected state = peripheral.gap.isAdvertisingActive(LEGACY_ADVERTISING_HANDLE).result assert state is True # Check that the device is actually advertising central.scanParams.set1mPhyConfiguration(*test_params.scanParams) central.gap.setScanParameters() # apply scanParams scan_records = central.gap.scanForAddress(peripheral_address['address'], test_params.scanTimeout).result assert len(scan_records) > 0 @pytest.mark.ble41 def test_stop_advertising(peripheral, peripheral_address, central, test_params): """validate that when a device stop advertising and is disconnected, Gap::isAdvertisingActive==False""" # start advertising on broadcaster then stop it peripheral.advParams.setType("CONNECTABLE_UNDIRECTED") peripheral.gap.setAdvertisingParameters(LEGACY_ADVERTISING_HANDLE) peripheral.gap.startAdvertising(LEGACY_ADVERTISING_HANDLE, ADV_DURATION_FOREVER, ADV_MAX_EVENTS_UNLIMITED) peripheral.gap.stopAdvertising(LEGACY_ADVERTISING_HANDLE) sleep(1) # advertising takes a bit of time to end # get the Gap state of device 1 and assert that it is equal to what is expected state = peripheral.gap.isAdvertisingActive(LEGACY_ADVERTISING_HANDLE).result assert state is False sleep(1) # Check that the device is no longer advertising central.scanParams.set1mPhyConfiguration(*test_params.scanParams) central.gap.setScanParameters() # apply scanParams scan_records = central.gap.scanForAddress(peripheral_address['address'], test_params.scanTimeout).result assert len(scan_records) == 0 @pytest.mark.ble41 def test_connected(peripheral, peripheral_address, central, test_params): """validate that when a peripheral has been connected, Gap::isAdvertisingActive==False and the connection event is received""" # start advertising as connectable on peripheral peripheral.advParams.setType("CONNECTABLE_UNDIRECTED") peripheral.gap.setAdvertisingParameters(LEGACY_ADVERTISING_HANDLE) peripheral.gap.startAdvertising(LEGACY_ADVERTISING_HANDLE, ADV_DURATION_FOREVER, ADV_MAX_EVENTS_UNLIMITED) # Assert connection will happen on the peripheral side connection = peripheral.gap.waitForConnection.setAsync()(50000) # wait for advertising to end sleep(1) # Establish the connection central.gap.connect(*test_params.get_connection_args(peripheral_address)) assert connection.error is None and connection.result['status'] == "BLE_ERROR_NONE" # get the Gap state of device 1 and assert that it is equal to what is expected state = peripheral.gap.isAdvertisingActive(LEGACY_ADVERTISING_HANDLE).result assert state is False # Check that the device is no longer advertising central.scanParams.set1mPhyConfiguration(*test_params.scanParams) central.gap.setScanParameters() # apply scanParams scan_records = central.gap.scanForAddress(peripheral_address['address'], test_params.scanTimeout).result assert len(scan_records) == 0 @pytest.mark.ble41 def test_peripheral_advertising_while_connected(peripheral, peripheral_address, central, test_params): """validate that when a peripheral has been connected then start advertising during the connection, Gap::isAdvertisingActive==True """ # start advertising as connectable on peripheral peripheral.advParams.setType("CONNECTABLE_UNDIRECTED") peripheral.gap.setAdvertisingParameters(LEGACY_ADVERTISING_HANDLE) peripheral.gap.startAdvertising(LEGACY_ADVERTISING_HANDLE, ADV_DURATION_FOREVER, ADV_MAX_EVENTS_UNLIMITED) # Establish the connection peripheral_connection = peripheral.gap.waitForConnection.setAsync()(10000) central.gap.connect(*test_params.get_connection_args(peripheral_address)) # wait for advertising to end assert peripheral_connection.error is None and peripheral_connection.result['status'] == "BLE_ERROR_NONE" # start non connectable advertising on peripheral peripheral.advParams.setType("NON_CONNECTABLE_UNDIRECTED") peripheral.gap.setAdvertisingParameters(LEGACY_ADVERTISING_HANDLE) peripheral.gap.startAdvertising(LEGACY_ADVERTISING_HANDLE, ADV_DURATION_FOREVER, ADV_MAX_EVENTS_UNLIMITED) # get the Gap state of device 1 and assert that it is equal to what is expected state = peripheral.gap.isAdvertisingActive(LEGACY_ADVERTISING_HANDLE).result assert state # Check that the device is actually advertising central.scanParams.set1mPhyConfiguration(*test_params.scanParams) central.gap.setScanParameters() # apply scanParams scan_records = central.gap.scanForAddress(peripheral_address['address'], test_params.scanTimeout).result assert len(scan_records) > 0 @pytest.mark.ble41 def test_central_advertising_while_connected(peripheral, peripheral_address, central, central_address, test_params): """validate that when a central has been connected then start advertising during the connection, Gap::isAdvertisingActive==True """ # start advertising as connectable on peripheral peripheral.advParams.setType("CONNECTABLE_UNDIRECTED") peripheral.gap.setAdvertisingParameters(LEGACY_ADVERTISING_HANDLE) peripheral.gap.startAdvertising(LEGACY_ADVERTISING_HANDLE, ADV_DURATION_FOREVER, ADV_MAX_EVENTS_UNLIMITED) # Assert connection will happen on the peripheral side connection = peripheral.gap.waitForConnection.setAsync()(10000) # Establish the connection central.gap.connect(*test_params.get_connection_args(peripheral_address)) # wait for advertising to end assert connection.error is None and connection.result['status'] == "BLE_ERROR_NONE" # start non connectable advertising on central central.advParams.setType("NON_CONNECTABLE_UNDIRECTED") central.gap.setAdvertisingParameters(LEGACY_ADVERTISING_HANDLE) central.gap.startAdvertising(LEGACY_ADVERTISING_HANDLE, ADV_DURATION_FOREVER, ADV_MAX_EVENTS_UNLIMITED) # get the Gap state of device 2 and assert that it is equal to what is expected state = central.gap.isAdvertisingActive(LEGACY_ADVERTISING_HANDLE).result assert state # Check that the central is actually advertising peripheral.scanParams.set1mPhyConfiguration(*test_params.scanParams) peripheral.gap.setScanParameters() # apply scanParams scan_records = peripheral.gap.scanForAddress(central_address['address'], test_params.scanTimeout).result assert len(scan_records) > 0 @pytest.mark.ble41 def test_disconnection(peripheral, peripheral_address, central, central_address, test_params): """validate that when a central and peripheral are connected and not advertising, after the disconnection, Gap::isAdvertisingActive==False """ # start advertising as connectable on peripheral peripheral.advParams.setType("CONNECTABLE_UNDIRECTED") peripheral.gap.setAdvertisingParameters(LEGACY_ADVERTISING_HANDLE) peripheral.gap.startAdvertising(LEGACY_ADVERTISING_HANDLE, ADV_DURATION_FOREVER, ADV_MAX_EVENTS_UNLIMITED) # Assert connection will happen on the peripheral side peripheral_connection = peripheral.gap.waitForConnection.setAsync()(10000) # Establish the connection conn_handle = central.gap.connect(*test_params.get_connection_args(peripheral_address)).result['connection_handle'] # wait for advertising to end assert peripheral_connection.error is None and peripheral_connection.result['status'] == "BLE_ERROR_NONE" # disconnect central.gap.disconnect(conn_handle, "USER_TERMINATION") # wait for peripheral disconnection to settle sleep(1) # get the advertising state of both devices and assert that they are equal to what are expected state = central.gap.isAdvertisingActive(LEGACY_ADVERTISING_HANDLE).result assert state is False state = peripheral.gap.isAdvertisingActive(LEGACY_ADVERTISING_HANDLE).result assert state is False # Check that the central is not advertising peripheral.scanParams.set1mPhyConfiguration(*test_params.scanParams) peripheral.gap.setScanParameters() # apply scanParams scan_records = peripheral.gap.scanForAddress(central_address['address'], test_params.scanTimeout).result assert len(scan_records) == 0 # Check that the peripheral is not advertising central.scanParams.set1mPhyConfiguration(*test_params.scanParams) central.gap.setScanParameters() # apply scanParams scan_records = central.gap.scanForAddress(peripheral_address['address'], test_params.scanTimeout).result assert len(scan_records) == 0 @pytest.mark.ble41 @pytest.mark.smoketest def test_advertising_after_disconnection(peripheral, peripheral_address, central, central_address, test_params): """validate that when a central and peripheral are connected and advertising after the disconnection, Gap::isAdvertisingActive==True and advertisements are received""" # start advertising as connectable on peripheral peripheral.advParams.setType("CONNECTABLE_UNDIRECTED") peripheral.gap.setAdvertisingParameters(LEGACY_ADVERTISING_HANDLE) peripheral.gap.startAdvertising(LEGACY_ADVERTISING_HANDLE, ADV_DURATION_FOREVER, ADV_MAX_EVENTS_UNLIMITED) # Assert connection will happen on the peripheral side peripheral_connection = peripheral.gap.waitForConnection.setAsync()(10000) # Establish the connection conn_handle = central.gap.connect(*test_params.get_connection_args(peripheral_address)).result['connection_handle'] # wait for advertising to end assert peripheral_connection.error is None and peripheral_connection.result['status'] == "BLE_ERROR_NONE" # disconnect central.gap.disconnect(conn_handle, "USER_TERMINATION") # wait for peripheral disconnection to settle sleep(1) for device in [peripheral, central]: # start non connectable advertising device.advParams.setType("NON_CONNECTABLE_UNDIRECTED") device.gap.setAdvertisingParameters(LEGACY_ADVERTISING_HANDLE) device.gap.startAdvertising(LEGACY_ADVERTISING_HANDLE, ADV_DURATION_FOREVER, ADV_MAX_EVENTS_UNLIMITED) # get the advertising state and assert that it is equal to what is expected state = device.gap.isAdvertisingActive(LEGACY_ADVERTISING_HANDLE).result assert state # set up scanning for the other device device.scanParams.set1mPhyConfiguration(*test_params.scanParams) device.gap.setScanParameters() # apply scanParams scan_records = central.gap.scanForAddress(peripheral_address['address'], test_params.scanTimeout).result assert len(scan_records) > 0 scan_records = peripheral.gap.scanForAddress(central_address['address'], test_params.scanTimeout).result assert len(scan_records) > 0

43.28

119

0.773567

1,642

14,066

6.457369

0.143118

0.04046

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0.026974

0.793549

0.75837

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0.719136

0.713289

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0

0.012711

0.149865

14,066

324

120

43.41358

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0

null

0

1

0

null

0

5

91f043e6d2c5099a9473e9d4bdbc4889ceae88c4

5,829

py

Python

lab_2_conda/logic/graph.py

AlexPraefectus/DM_Python

45b465a63bf92f382ee375cf779652be422747e6

[ "BSD-3-Clause" ]

1

2018-04-25T20:18:41.000Z

lab_2_conda/logic/graph.py

AlexPraefectus/DM_Python

45b465a63bf92f382ee375cf779652be422747e6

[ "BSD-3-Clause" ]

null

lab_2_conda/logic/graph.py

AlexPraefectus/DM_Python

45b465a63bf92f382ee375cf779652be422747e6

[ "BSD-3-Clause" ]

null

import networkx as nx from logic.relations import RelationMaker import matplotlib.pyplot as plt class GraphDrawer: def __init__(self, set_a, set_b): self.relation_maker = RelationMaker(set_a, set_b) self.relation_maker.delete_impossible_mother_relation() self.relation_maker.delete_impossible_for_mother_in_law_relation() self.relation_maker.form_mother_child_relation() self.relation_maker.form_mother_in_law_relation() self.graph_mother = nx.DiGraph() self.graph_mother_in_law = nx.DiGraph() self.graph_operation = nx.DiGraph() def add_nodes(self): for i in self.relation_maker.set_a: self.graph_mother.add_node(i.name, set='a') self.graph_mother_in_law.add_node(i.name, set='a') self.graph_operation.add_node(i.name, set='a') for i in self.relation_maker.set_b: self.graph_mother.add_node(i.name, set='b') self.graph_mother_in_law.add_node(i.name, set='b') self.graph_operation.add_node(i.name, set='b') @staticmethod def _clear_plot(): plt.clf() plt.cla() plt.close() def draw_graph_mother(self): self._clear_plot() self.add_nodes() # self.add_edges_mother() pos = nx.spring_layout(self.graph_mother) nx.draw_networkx_nodes(self.graph_mother, pos=pos, nodelist=[i.name for i in self.relation_maker.set_b], node_color='yellow') nx.draw_networkx_nodes(self.graph_mother, pos=pos, nodelist=[i.name for i in self.relation_maker.set_a], node_color='b') nx.draw_networkx_labels(self.graph_mother, pos=pos, labels=dict(zip([i.name for i in self.relation_maker.set_a], [i.name for i in self.relation_maker.set_a])), font_color='black') nx.draw_networkx_labels(self.graph_mother, pos=pos, labels=dict(zip([i.name for i in self.relation_maker.set_b], [i.name for i in self.relation_maker.set_b])), font_color='black') nx.draw_networkx_edges(self.graph_mother, pos=pos, edgelist=self.relation_maker.s_relation, edge_color='red') print(self.relation_maker.s_relation) plt.show() def draw_graph_mother_in_law(self): self._clear_plot() self.add_nodes() # self.add_edges_mother_in_law() pos = nx.spring_layout(self.graph_mother_in_law) nx.draw_networkx_nodes(self.graph_mother_in_law, pos=pos, nodelist=[i.name for i in self.relation_maker.set_b], node_color='yellow') nx.draw_networkx_nodes(self.graph_mother_in_law, pos=pos, nodelist=[i.name for i in self.relation_maker.set_a], node_color='b') nx.draw_networkx_labels(self.graph_mother_in_law, pos=pos, labels=dict(zip([i.name for i in self.relation_maker.set_a], [i.name for i in self.relation_maker.set_a])), font_color='black') nx.draw_networkx_labels(self.graph_mother_in_law, pos=pos, labels=dict(zip([i.name for i in self.relation_maker.set_b], [i.name for i in self.relation_maker.set_b])), font_color='black') nx.draw_networkx_edges(self.graph_mother_in_law, pos=pos, edgelist=self.relation_maker.r_relation, edge_color='red') print(self.relation_maker.r_relation) plt.show() def draw_graph_operation(self, operation_edge_list): self.add_nodes() pos = nx.spring_layout(self.graph_mother) nx.draw_networkx_nodes(self.graph_mother, pos=pos, nodelist=[i.name for i in self.relation_maker.set_b], node_color='yellow') nx.draw_networkx_nodes(self.graph_mother, pos=pos, nodelist=[i.name for i in self.relation_maker.set_a], node_color='b') nx.draw_networkx_labels(self.graph_mother, pos=pos, labels=dict(zip([i.name for i in self.relation_maker.set_a], [i.name for i in self.relation_maker.set_a])), font_color='black') nx.draw_networkx_labels(self.graph_mother_in_law, pos=pos, labels=dict(zip([i.name for i in self.relation_maker.set_b], [i.name for i in self.relation_maker.set_b])), font_color='black') nx.draw_networkx_edges(self.graph_mother_in_law, pos=pos, edgelist=operation_edge_list, edge_color='red') plt.show()

48.983193

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0.505919

668

5,829

4.103293

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0.126961

0.179861

0.072966

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0.41019

5,829

118

95

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false

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0

null

0

1

0

1

0

null

0

5

6225eeb762b91df87c6056812c4c9c2804250b4a

270

py

Python

07-Social-Analytics/config.py

jdouangs/homework

bab023b2c968aba904eaa874976eb9c9e6bc9f30

[ "MIT" ]

null

07-Social-Analytics/config.py

jdouangs/homework

bab023b2c968aba904eaa874976eb9c9e6bc9f30

[ "MIT" ]

null

07-Social-Analytics/config.py

jdouangs/homework

bab023b2c968aba904eaa874976eb9c9e6bc9f30

[ "MIT" ]

null

# Twitter API Keys consumer_key = "Evvpt1h8W6NqFGat2DCJyIQJE" consumer_secret = "tilsyGyNG371CbwOeYH8iGcJnL0v8xBZbCMCgrZtsCwiIv6SD4" access_token = "51217498-4WaAePQqz3vijoVdDZ9XtUoxmqPHGQNWVLxPchNdj" access_token_secret = "sHp0FDUeg2DSPJmJ37kZhNoKvnfOD2LiRJqv71etJgTeu"

67.5

70

0.892593

17

270

13.882353

0.764706

0.09322

0

0.117647

0.055556

270

4

71

67.5

0.807843

0.218519

0

0.671937

0

1

0

false

0

1

0

1

null

0

1

0

1

null

0

5

6232b1b768e0e3abe187d8174145d982200862bb

84

py

Python

Notebook example/notebook.py

beatrixorange/Pi_digit_recognition

8f4754448792df2c39bf70574255cd16367090cc

[ "MIT" ]

null

Notebook example/notebook.py

beatrixorange/Pi_digit_recognition

8f4754448792df2c39bf70574255cd16367090cc

[ "MIT" ]

null

Notebook example/notebook.py

beatrixorange/Pi_digit_recognition

8f4754448792df2c39bf70574255cd16367090cc

[ "MIT" ]

null

import numpy # This is NOT a jupiter notebook. Make sure to open the .ipynb file

28

68

0.738095

15

84

4.133333

1

0

0.22619

84

3

68

28

0.953846

0.77381

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

624543137f846231b9eee403c334ceded8242d5e

146

py

Python

examples/example.py

tkc285/AI-Feynman

2b2b0478c834f78a9f3a23b122a24df567c94b30

[ "MIT" ]

2

2021-01-18T21:53:38.000Z

2021-07-24T09:33:30.000Z

examples/example.py

ignsebastian/AI-Feynman

81c77793dfe4c3793f40d55418ae3fe0a4dc8971

[ "MIT" ]

null

examples/example.py

ignsebastian/AI-Feynman

81c77793dfe4c3793f40d55418ae3fe0a4dc8971

[ "MIT" ]

null

from feynman import run_aifeynman run_aifeynman("../example_data/", "example1.txt", 30, "14ops.txt", polyfit_deg=3, NN_epochs=500)

29.2

56

0.684932

20

146

4.75

0.85

0.252632

0

0.07438

0.171233

146

4

57

36.5

0.710744

0

0.253425

0

1

0

true

0

0.333333

0

0.333333

0

1

0

null

1

0

1

0

null

0

1

0

1

0

5

62801e6d76829b004734caa7bf2927ed0a2d4d49

207

py

Python

src/server.py

rkruegs123/geo-model-builder

f070afe18ed874b3a31db519ea6f593f40a1be00

[ "Apache-2.0" ]

3

2020-12-12T10:39:25.000Z

2021-04-25T14:15:24.000Z

src/server.py

rkruegs123/geo-model-builder

f070afe18ed874b3a31db519ea6f593f40a1be00

[ "Apache-2.0" ]

null

src/server.py

rkruegs123/geo-model-builder

f070afe18ed874b3a31db519ea6f593f40a1be00

[ "Apache-2.0" ]

2

2020-12-12T10:40:12.000Z

2021-09-15T14:03:39.000Z

""" Copyright (c) 2020 Ryan Krueger. All rights reserved. Released under Apache 2.0 license as described in the file LICENSE. Authors: Ryan Krueger, Jesse Michael Han, Daniel Selsam """ from app import app

25.875

67

0.763285

32

207

4.9375

0.875

0.139241

0

0.034682

0.164251

207

7

68

29.571429

0.878613

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0

1

0

true

0

1

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1

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null

0

1

0

1

0

null

0

1

0

1

0

1

0

5

6555240df0f3b7bd6e610b8b9cfa9cf0fe89172c

3,388

py

Python

zhihuuser/pipelines.py

amosannn/zhihu-analysis

19f68fd24fb64e0549bf7fa93738b474597c7477

[ "Apache-2.0" ]

null

zhihuuser/pipelines.py

amosannn/zhihu-analysis

19f68fd24fb64e0549bf7fa93738b474597c7477

[ "Apache-2.0" ]

null

zhihuuser/pipelines.py

amosannn/zhihu-analysis

19f68fd24fb64e0549bf7fa93738b474597c7477

[ "Apache-2.0" ]

null

# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html import pymysql def dbHandle(): conn = pymysql.connect( host='127.0.0.1', user='root', passwd='root', charset='utf8', use_unicode=False ) return conn class ZhihuPipeline(object): def process_item(self, item, spider): dbObject = dbHandle() # 写入数据库 cursor = dbObject.cursor() #sql = "insert into scrapy.zhihu_user(user_name,sex,user_sign,user_avatar,user_url,locations,voteup_count,thanked_count,follower_count,following_count,following_topic_count,following_question_count,following_favlists_count,following_columns_count,answer_count,articles_count,question_count,commercial_question_count,favorite_count,favorited_count,is_bind_sina,is_following,is_followed,mutual_followees_count,vote_to_count,vote_from_count,thank_to_count,thank_from_count,description) values(%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s,%s)" #param = (item['user_name'],item['sex'],item['user_sign'],item['user_avatar'],item['user_url'],item['locations'],item['voteup_count'],item['thanked_count'],item['follower_count'],item['following_count'],item['following_topic_count'],item['following_question_count'],item['following_favlists_count'],item['following_columns_count'],item['answer_count'],item['articles_count'],item['question_count'],item['commercial_question_count'],item['favorite_count'],item['favorited_count'],item['is_bind_sina'],item['is_following'],item['is_followed'],item['mutual_followees_count'],item['vote_to_count'],item['vote_from_count'],item['thank_to_count'],item['thank_from_count'],item['description']) sql = "insert into scrapy.zhihu_user(user_name,sex,user_sign,user_avatar,user_url,locations,voteup_count,thanked_count,follower_count,following_count,following_topic_count,following_question_count,following_favlists_count,following_columns_count,answer_count,articles_count,question_count,commercial_question_count,favorite_count,favorited_count,is_bind_sina,is_following,is_followed,mutual_followees_count,vote_to_count,vote_from_count,thank_to_count,thank_from_count,description) values({0},{1},{2},{3},{4},{5},{6},{7},{8},{9},{10},{11},{12},{13},{14},{15},{16},{17},{18},{19},{20},{21},{22},{23},{24},{25},{26},{27},{28})" try: cursor.execute(sql.format("\'"+item['user_name']+"\'",item['sex'],"\'"+item['user_sign']+"\'","\'"+item['user_avatar']+"\'","\'"+item['user_url']+"\'","\'"+item['locations']+"\'",item['voteup_count'],item['thanked_count'],item['follower_count'],item['following_count'],item['following_topic_count'],item['following_question_count'],item['following_favlists_count'],item['following_columns_count'],item['answer_count'],item['articles_count'],item['question_count'],item['commercial_question_count'],item['favorite_count'],item['favorited_count'],item['is_bind_sina'],item['is_following'],item['is_followed'],item['mutual_followees_count'],item['vote_to_count'],item['vote_from_count'],item['thank_to_count'],item['thank_from_count'],"\'"+item['description']+"\'")) dbObject.commit() except Exception as e: print(e) dbObject.rollback() return item

96.8

775

0.730224

481

3,388

4.825364

0.261954

0.14735

0.034899

0.044808

0.793193

0

0.017909

0.077037

3,388

34

776

99.647059

0.724336

0.427686

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0.045455

0.558031

0.384974

0

1

0.090909

false

0.045455

0

0.272727

0.045455

0

null

0

1

0

null

0

5

655ebe6ffca827a59d6159b360765ab9d7169e24

115

py

Python

dalloriam/orc/__init__.py

dalloriam/python-stdlib

2ce4ebf4545e2ce9c74ef1f2735929f0202598b5

[ "MIT" ]

null

dalloriam/orc/__init__.py

dalloriam/python-stdlib

2ce4ebf4545e2ce9c74ef1f2735929f0202598b5

[ "MIT" ]

2

2019-02-10T16:25:58.000Z

2019-03-13T01:40:15.000Z

dalloriam/orc/__init__.py

dalloriam/python-stdlib

2ce4ebf4545e2ce9c74ef1f2735929f0202598b5

[ "MIT" ]

null

from .client import ORCClient as Client from .keyval import KeyValStore as KeyVal from .task import Task, requires

28.75

41

0.817391

17

115

5.529412

0.529412

0

0.147826

115

3

42

38.333333

0.959184

0

1

0

true

0

1

0

1

0

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

655fa3e679316cb7d8856856890fee8a72705af0

81

py

Python

tools/echo-toupper.py

cstrotm/VolksForth

e41222945951e495e1d1606c757353e85b0bac58

[ "BSD-2-Clause" ]

14

2017-04-24T06:10:25.000Z

2020-02-05T21:55:10.000Z

tools/echo-toupper.py

cstrotm/VolksForth

e41222945951e495e1d1606c757353e85b0bac58

[ "BSD-2-Clause" ]

null

tools/echo-toupper.py

cstrotm/VolksForth

e41222945951e495e1d1606c757353e85b0bac58

[ "BSD-2-Clause" ]

3

2017-07-20T06:00:00.000Z

2020-01-08T17:29:09.000Z

#!/usr/bin/python3 import sys print(' '.join(a.upper() for a in sys.argv[1:]))

13.5

48

0.62963

15

81

3.4

0.866667

0

0.028571

0.135802

81

5

49

16.2

0.7

0.209877

0

0.015873

0

1

0

true

0

0.5

0

0.5

1

0

null

0

1

0

null

0

1

0

1

0

1

0

5

65647cd5a68e38f6f1546d619ddd026baf1ca0f8

16,154

py

Python

tests/units/fastsync/commons/test_fastsync_target_postgres.py

deanmorin/pipelinewise

acde3c18f4dd116113f47f3dc50d31fdcf59a1d6

[ "Apache-2.0" ]

null

tests/units/fastsync/commons/test_fastsync_target_postgres.py

deanmorin/pipelinewise

acde3c18f4dd116113f47f3dc50d31fdcf59a1d6

[ "Apache-2.0" ]

15

2021-10-04T05:11:43.000Z

2022-03-21T05:12:11.000Z

tests/units/fastsync/commons/test_fastsync_target_postgres.py

alastairstuart/pipelinewise

acde3c18f4dd116113f47f3dc50d31fdcf59a1d6

[ "Apache-2.0" ]

null

from unittest import TestCase from pipelinewise.fastsync.commons.target_postgres import FastSyncTargetPostgres class FastSyncTargetPostgresMock(FastSyncTargetPostgres): """ Mocked FastSyncTargetPostgres class """ def __init__(self, connection_config, transformation_config=None): super().__init__(connection_config, transformation_config) self.executed_queries = [] def query(self, query, params=None): self.executed_queries.append(query) class TestFastSyncTargetPostgres(TestCase): """ Unit tests for fastsync target postgres """ def setUp(self) -> None: """Initialise test FastSyncTargetPostgres object""" self.postgres = FastSyncTargetPostgresMock( connection_config={}, transformation_config={} ) def test_create_schema(self): """Validate if create schema queries generated correctly""" self.postgres.create_schema('new_schema') assert self.postgres.executed_queries == [ 'CREATE SCHEMA IF NOT EXISTS new_schema' ] def test_drop_table(self): """Validate if drop table queries generated correctly""" self.postgres.drop_table('test_schema', 'test_table') self.postgres.drop_table('test_schema', 'test_table', is_temporary=True) self.postgres.drop_table('test_schema', 'UPPERCASE_TABLE') self.postgres.drop_table('test_schema', 'UPPERCASE_TABLE', is_temporary=True) self.postgres.drop_table('test_schema', 'test table with space') self.postgres.drop_table( 'test_schema', 'test table with space', is_temporary=True ) assert self.postgres.executed_queries == [ 'DROP TABLE IF EXISTS test_schema."test_table"', 'DROP TABLE IF EXISTS test_schema."test_table_temp"', 'DROP TABLE IF EXISTS test_schema."uppercase_table"', 'DROP TABLE IF EXISTS test_schema."uppercase_table_temp"', 'DROP TABLE IF EXISTS test_schema."test table with space"', 'DROP TABLE IF EXISTS test_schema."test table with space_temp"', ] def test_create_table(self): """Validate if create table queries generated correctly""" # Create table with standard table and column names self.postgres.executed_queries = [] self.postgres.create_table( target_schema='test_schema', table_name='test_table', columns=['"id" INTEGER', '"txt" CHARACTER VARYING'], primary_key=['"id"'], ) assert self.postgres.executed_queries == [ 'CREATE TABLE IF NOT EXISTS test_schema."test_table" (' '"id" integer,"txt" character varying,' '_sdc_extracted_at timestamp without time zone,' '_sdc_batched_at timestamp without time zone,' '_sdc_deleted_at character varying' ', PRIMARY KEY ("id"))' ] # Create table with reserved words in table and column names self.postgres.executed_queries = [] self.postgres.create_table( target_schema='test_schema', table_name='ORDER', columns=[ '"id" INTEGER', '"txt" CHARACTER VARYING', '"SELECT" CHARACTER VARYING', ], primary_key=['"id"'], ) assert self.postgres.executed_queries == [ 'CREATE TABLE IF NOT EXISTS test_schema."order" (' '"id" integer,"txt" character varying,"select" character varying,' '_sdc_extracted_at timestamp without time zone,' '_sdc_batched_at timestamp without time zone,' '_sdc_deleted_at character varying' ', PRIMARY KEY ("id"))' ] # Create table with mixed lower and uppercase and space characters self.postgres.executed_queries = [] self.postgres.create_table( target_schema='test_schema', table_name='TABLE with SPACE', columns=['"id" INTEGER', '"column_with space" CHARACTER VARYING'], primary_key=['"id"'], ) assert self.postgres.executed_queries == [ 'CREATE TABLE IF NOT EXISTS test_schema."table with space" (' '"id" integer,"column_with space" character varying,' '_sdc_extracted_at timestamp without time zone,' '_sdc_batched_at timestamp without time zone,' '_sdc_deleted_at character varying' ', PRIMARY KEY ("id"))' ] # Create table with composite primary key self.postgres.executed_queries = [] self.postgres.create_table( target_schema='test_schema', table_name='TABLE with SPACE', columns=[ '"id" INTEGER', '"num" INTEGER', '"column_with space" CHARACTER VARYING', ], primary_key=['"id"', '"num"'], ) assert self.postgres.executed_queries == [ 'CREATE TABLE IF NOT EXISTS test_schema."table with space" (' '"id" integer,"num" integer,"column_with space" character varying,' '_sdc_extracted_at timestamp without time zone,' '_sdc_batched_at timestamp without time zone,' '_sdc_deleted_at character varying' ', PRIMARY KEY ("id","num"))' ] # Create table with no primary key self.postgres.executed_queries = [] self.postgres.create_table( target_schema='test_schema', table_name='test_table_no_pk', columns=['"id" INTEGER', '"txt" CHARACTER VARYING'], primary_key=None, ) assert self.postgres.executed_queries == [ 'CREATE TABLE IF NOT EXISTS test_schema."test_table_no_pk" (' '"id" integer,"txt" character varying,' '_sdc_extracted_at timestamp without time zone,' '_sdc_batched_at timestamp without time zone,' '_sdc_deleted_at character varying)' ] def test_grant_select_on_table(self): """Validate if GRANT command generated correctly""" # GRANT table with standard table and column names self.postgres.executed_queries = [] self.postgres.grant_select_on_table( target_schema='test_schema', table_name='test_table', role='test_role', is_temporary=False, ) assert self.postgres.executed_queries == [ 'GRANT SELECT ON test_schema."test_table" TO GROUP test_role' ] # GRANT table with reserved word in table and column names in temp table self.postgres.executed_queries = [] self.postgres.grant_select_on_table( target_schema='test_schema', table_name='full', role='test_role', is_temporary=False, ) assert self.postgres.executed_queries == [ 'GRANT SELECT ON test_schema."full" TO GROUP test_role' ] # GRANT table with with space and uppercase in table name and s3 key self.postgres.executed_queries = [] self.postgres.grant_select_on_table( target_schema='test_schema', table_name='table with SPACE and UPPERCASE', role='test_role', is_temporary=False, ) assert self.postgres.executed_queries == [ 'GRANT SELECT ON test_schema."table with space and uppercase" TO GROUP test_role' ] def test_grant_usage_on_schema(self): """Validate if GRANT command generated correctly""" self.postgres.executed_queries = [] self.postgres.grant_usage_on_schema( target_schema='test_schema', role='test_role' ) assert self.postgres.executed_queries == [ 'GRANT USAGE ON SCHEMA test_schema TO GROUP test_role' ] def test_grant_select_on_schema(self): """Validate if GRANT command generated correctly""" self.postgres.executed_queries = [] self.postgres.grant_select_on_schema( target_schema='test_schema', role='test_role' ) assert self.postgres.executed_queries == [ 'GRANT SELECT ON ALL TABLES IN SCHEMA test_schema TO GROUP test_role' ] def test_swap_tables(self): """Validate if swap table commands generated correctly""" # Swap tables with standard table and column names self.postgres.executed_queries = [] self.postgres.swap_tables(schema='test_schema', table_name='test_table') assert self.postgres.executed_queries == [ 'DROP TABLE IF EXISTS test_schema."test_table"', 'ALTER TABLE test_schema."test_table_temp" RENAME TO "test_table"', ] # Swap tables with reserved word in table and column names in temp table self.postgres.executed_queries = [] self.postgres.swap_tables(schema='test_schema', table_name='full') assert self.postgres.executed_queries == [ 'DROP TABLE IF EXISTS test_schema."full"', 'ALTER TABLE test_schema."full_temp" RENAME TO "full"', ] # Swap tables with with space and uppercase in table name self.postgres.executed_queries = [] self.postgres.swap_tables( schema='test_schema', table_name='table with SPACE and UPPERCASE' ) assert self.postgres.executed_queries == [ 'DROP TABLE IF EXISTS test_schema."table with space and uppercase"', 'ALTER TABLE test_schema."table with space and uppercase_temp" ' 'RENAME TO "table with space and uppercase"', ] def test_obfuscate_columns_case1(self): """ Test obfuscation where given transformations are emtpy Test should pass with no executed queries """ target_schema = 'my_schema' table_name = 'public.my_table' self.postgres.transformation_config = {} self.postgres.obfuscate_columns(target_schema, table_name) self.assertFalse(self.postgres.executed_queries) def test_obfuscate_columns_case2(self): """ Test obfuscation where given transformations has an unsupported transformation type Test should fail """ target_schema = 'my_schema' table_name = 'public.my_table' self.postgres.transformation_config = { 'transformations': [ { 'field_id': 'col_7', 'tap_stream_name': 'public-my_table', 'type': 'RANDOM', } ] } with self.assertRaises(ValueError): self.postgres.obfuscate_columns(target_schema, table_name) self.assertFalse(self.postgres.executed_queries) def test_obfuscate_columns_case3(self): """ Test obfuscation where given transformations have no conditions Test should pass """ target_schema = 'my_schema' table_name = 'public.my_table' self.postgres.transformation_config = { 'transformations': [ { 'field_id': 'col_1', 'tap_stream_name': 'public-my_table', 'type': 'SET-NULL', }, { 'field_id': 'col_2', 'tap_stream_name': 'public-my_table', 'type': 'MASK-HIDDEN', }, { 'field_id': 'col_3', 'tap_stream_name': 'public-my_table', 'type': 'MASK-DATE', }, { 'field_id': 'col_4', 'tap_stream_name': 'public-my_table', 'safe_field_id': '"col_4"', 'type': 'MASK-NUMBER', }, { 'field_id': 'col_5', 'tap_stream_name': 'public-my_table', 'type': 'HASH', }, { 'field_id': 'col_6', 'tap_stream_name': 'public-my_table', 'type': 'HASH-SKIP-FIRST-5', }, ] } self.postgres.obfuscate_columns(target_schema, table_name) self.assertListEqual( self.postgres.executed_queries, [ 'UPDATE "my_schema"."my_table" SET ' '"col_1" = NULL, ' '"col_2" = \'hidden\', ' '"col_3" = MAKE_TIMESTAMP(DATE_PART(\'year\', "col_3")::int, 1, 1, DATE_PART(\'hour\', "col_3")::int, ' 'DATE_PART(\'minute\', "col_3")::int, DATE_PART(\'second\', "col_3")::double precision), ' '"col_4" = 0, ' '"col_5" = ENCODE(DIGEST("col_5", \'sha256\'), \'hex\'), ' '"col_6" = CONCAT(SUBSTRING("col_6", 1, 5), ' 'ENCODE(DIGEST(SUBSTRING("col_6", 5 + 1), \'sha256\'), \'hex\'));' ], ) def test_obfuscate_columns_case4(self): """ Test obfuscation where given transformations have conditions Test should pass """ target_schema = 'my_schema' table_name = 'public.my_table' self.postgres.transformation_config = { 'transformations': [ { 'field_id': 'col_1', 'tap_stream_name': 'public-my_table', 'type': 'SET-NULL', }, { 'field_id': 'col_2', 'tap_stream_name': 'public-my_table', 'type': 'MASK-HIDDEN', 'when': [ {'column': 'col_4', 'safe_column': '"col_4"', 'equals': None}, { 'column': 'col_1', }, ], }, { 'field_id': 'col_3', 'tap_stream_name': 'public-my_table', 'type': 'MASK-DATE', 'when': [{'column': 'col_5', 'equals': 'some_value'}], }, { 'field_id': 'col_4', 'tap_stream_name': 'public-my_table', 'type': 'MASK-NUMBER', }, { 'field_id': 'col_5', 'tap_stream_name': 'public-my_table', 'type': 'HASH', }, { 'field_id': 'col_6', 'tap_stream_name': 'public-my_table', 'type': 'HASH-SKIP-FIRST-5', 'when': [ {'column': 'col_1', 'equals': 30}, {'column': 'col_2', 'regex_match': r'[0-9]{3}\.[0-9]{3}'}, ], }, ] } self.postgres.obfuscate_columns(target_schema, table_name, is_temporary=True) self.assertListEqual( self.postgres.executed_queries, [ 'UPDATE "my_schema"."my_table_temp" SET "col_2" = \'hidden\' WHERE ("col_4" IS NULL);', 'UPDATE "my_schema"."my_table_temp" SET ' '"col_3" = MAKE_TIMESTAMP(DATE_PART(\'year\', "col_3")::int, 1, 1, DATE_PART(\'hour\', "col_3")::int, ' 'DATE_PART(\'minute\', "col_3")::int, DATE_PART(\'second\', "col_3")::double precision) ' 'WHERE ("col_5" = \'some_value\');', 'UPDATE "my_schema"."my_table_temp" SET ' '"col_6" = CONCAT(SUBSTRING("col_6", 1, 5), ' 'ENCODE(DIGEST(SUBSTRING("col_6", 5 + 1), \'sha256\'), \'hex\')) WHERE ("col_1" = 30) AND ' '("col_2" ~ \'[0-9]{3}\.[0-9]{3}\');', # pylint: disable=W1401 # noqa: W605 'UPDATE "my_schema"."my_table_temp" SET "col_1" = NULL, ' '"col_4" = 0, "col_5" = ENCODE(DIGEST("col_5", \'sha256\'), \'hex\');', ], )

39.690418

119

0.548595

1,665

16,154

5.059459

0.10991

0.086895

0.075973

0.102564

0.815171

0.795821

0.776828

0.735043

0.662274

0.637227

0

0.009922

0.338678

16,154

406

120

39.788177

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0.091123

0

0.496933

0

0.346529

0.042142

0

0.06135

1

0.042945

false

0

0.006135

0

0.055215

0

null

0

1

0

1

0

null

0

5

658fc291d25a3a8a917ba7d77c275d7b69570e87

19,228

py

Python

tests/emm/clients/test_git_proxy.py

evergreen-ci/evg-module-manager

c72bcd480b8d983e14e4f16c7f9c1ca8ffb577f5

[ "Apache-2.0" ]

null

tests/emm/clients/test_git_proxy.py

evergreen-ci/evg-module-manager

c72bcd480b8d983e14e4f16c7f9c1ca8ffb577f5

[ "Apache-2.0" ]

18

2021-11-19T16:43:39.000Z

2022-03-31T20:02:20.000Z

tests/emm/clients/test_git_proxy.py

evergreen-ci/evg-module-manager

c72bcd480b8d983e14e4f16c7f9c1ca8ffb577f5

[ "Apache-2.0" ]

2

2021-11-09T16:02:57.000Z

2022-02-09T18:35:24.000Z

"""Unit tests for git_proxy.py.""" from pathlib import Path from unittest.mock import MagicMock, patch import pytest from click import UsageError import emm.clients.git_proxy as under_test # TODO: Find a better way to handle the Path module when testing 3.7 # We shouldn't have to mock the entire Path module when testing NAMESPACE = "emm.clients.git_proxy" def ns(local_path: str) -> str: return f"{NAMESPACE}.{local_path}" def make_fake_path() -> Path: return Path("./fake/path") @pytest.fixture() def mock_git(): git_mock = MagicMock() git_mock.assert_git_call = lambda args: git_mock.__getitem__.assert_any_call(args) return git_mock @pytest.fixture() def git_proxy(mock_git) -> under_test.GitProxy: git_proxy = under_test.GitProxy(mock_git) return git_proxy class TestClone: @patch(ns("local")) def test_clone_should_call_git_clone(self, local_mock, git_proxy, mock_git): path = Path("/path/to/modules").absolute() git_proxy.clone("module_name", "repo", path, branch=None) mock_git.assert_git_call(["clone", "repo", "module_name"]) local_mock.cwd.assert_called_with(path) @patch(ns("local")) def test_clone_with_branch_should_call_git_clone_with_branch( self, local_mock, git_proxy, mock_git ): path = Path("/path/to/modules").absolute() git_proxy.clone("module_name", "repo", path, branch="main") mock_git.assert_git_call(["clone", "--branch", "main", "repo", "module_name"]) local_mock.cwd.assert_called_with(path) class TestFetch: @patch(ns("local")) @patch(ns("Path")) def test_fetch_should_call_git_fetch(self, path_mock, local_mock, git_proxy, mock_git): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.fetch() mock_git.assert_git_call(["fetch", "origin"]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) def test_fetch_with_directory_should_call_git_fetch_from_dir( self, local_mock, git_proxy, mock_git ): path = Path("/path/to/modules").absolute() git_proxy.fetch(directory=path) mock_git.assert_git_call(["fetch", "origin"]) local_mock.cwd.assert_called_with(path) class TestPull: @patch(ns("local")) @patch(ns("Path")) def test_pull_should_call_git_pull(self, path_mock, local_mock, git_proxy, mock_git): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.pull() mock_git.assert_git_call(["pull"]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) def test_pull_with_directory_should_call_git_pull_from_directory( self, local_mock, git_proxy, mock_git ): path = Path("/path/to/modules").absolute() git_proxy.pull(directory=path) mock_git.assert_git_call(["pull"]) local_mock.cwd.assert_called_with(path) @patch(ns("local")) @patch(ns("Path")) def test_rebase_option_should_call_git_pull_with_rebase( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.pull(rebase=True) mock_git.assert_git_call(["pull", "--rebase"]) local_mock.cwd.assert_called_with(test_path) class TestCheckout: @patch(ns("local")) @patch(ns("Path")) def test_checkout_should_call_git_checkout(self, path_mock, local_mock, git_proxy, mock_git): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.checkout("abc123", directory=None, branch_name=None) mock_git.assert_git_call(["checkout", "abc123"]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) @patch(ns("Path")) def test_checkout_with_branch_should_call_git_checkout_with_branch( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.checkout("abc123", directory=None, branch_name="main") mock_git.assert_git_call(["checkout", "-b", "main", "abc123"]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) def test_checkout_with_directory_should_call_git_checkout_from_directory( self, local_mock, git_proxy, mock_git ): path = Path("/path/to/repo").absolute() git_proxy.checkout("abc123", directory=path, branch_name=None) mock_git.assert_git_call(["checkout", "abc123"]) local_mock.cwd.assert_called_with(path) class TestBranch: @patch(ns("local")) @patch(ns("Path")) def test_branch_should_call_git_branch(self, path_mock, local_mock, git_proxy, mock_git): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.branch(directory=None) mock_git.assert_git_call(["branch"]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) @patch(ns("Path")) def test_branch_with_delete_should_call_git_branch_delete( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.branch("abc123", directory=None) mock_git.assert_git_call(["branch", "-D", "abc123"]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) def test_branch_with_directory_should_call_git_branch_from_directory( self, local_mock, git_proxy, mock_git ): path = Path("/path/to/repo").absolute() git_proxy.branch(directory=path) mock_git.assert_git_call(["branch"]) local_mock.cwd.assert_called_with(path) class TestStatus: @patch(ns("local")) @patch(ns("Path")) def test_status_should_call_git_status(self, path_mock, local_mock, git_proxy, mock_git): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.status() mock_git.assert_git_call(["status"]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) @patch(ns("Path")) def test_status_with_short_should_call_git_status_short( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.status(short=True) mock_git.assert_git_call(["status", "--short"]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) def test_status_with_directory_should_call_git_status_from_directory( self, local_mock, git_proxy, mock_git ): path = Path("/path/to/repo").absolute() git_proxy.status(directory=path) mock_git.assert_git_call(["status"]) local_mock.cwd.assert_called_with(path) class TestLsFiles: @patch(ns("local")) @patch(ns("Path")) def test_ls_files_should_call_git_ls_files(self, path_mock, local_mock, git_proxy, mock_git): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.ls_files(["."]) mock_git.assert_git_call(["ls-files", "."]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) @patch(ns("Path")) def test_ls_files_with_options_should_call_git_ls_files_with_options( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.ls_files(["."], cached=True, others=True, ignore_file="ignore-me") mock_git.assert_git_call( ["ls-files", "--cached", "--others", "--exclude-from=ignore-me", "."] ) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) def test_ls_files_with_directory_should_call_git_ls_files_from_directory( self, local_mock, git_proxy, mock_git ): path = Path("/path/to/repo").absolute() git_proxy.ls_files(["."], directory=path) mock_git.assert_git_call(["ls-files", "."]) local_mock.cwd.assert_called_with(path) class TestAdd: @patch(ns("local")) @patch(ns("Path")) def test_add_with_no_directory_should_call_git_add( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.add(".") mock_git.assert_git_call(["add", "."]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) def test_add_with_directory_should_switch_directories(self, local_mock, git_proxy, mock_git): path = Path("/path/to/repo").absolute() git_proxy.add(["."], directory=path) mock_git.assert_git_call(["add", "."]) local_mock.cwd.assert_called_with(path) class TestRestore: @patch(ns("local")) @patch(ns("Path")) def test_restore_with_no_directory_should_call_git_restore( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.restore(".") mock_git.assert_git_call(["restore", "."]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) @patch(ns("Path")) def test_restore_with_staged_should_call_git_with_staged_option( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.restore(".", staged=True) mock_git.assert_git_call(["restore", "--staged", "."]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) def test_restore_with_directory_should_switch_directories( self, local_mock, git_proxy, mock_git ): path = Path("/path/to/repo").absolute() git_proxy.restore(["."], directory=path) mock_git.assert_git_call(["restore", "."]) local_mock.cwd.assert_called_with(path) class TestRebase: @patch(ns("local")) @patch(ns("Path")) def test_rebase_with_no_directory_should_call_git_rebase( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.rebase(onto="abc123") mock_git.assert_git_call(["rebase", "--onto", "abc123"]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) def test_rebase_with_directory_should_switch_directories(self, local_mock, git_proxy, mock_git): path = Path("/path/to/repo").absolute() git_proxy.rebase(onto="abc123", directory=path) mock_git.assert_git_call(["rebase", "--onto", "abc123"]) local_mock.cwd.assert_called_with(path) class TestMerge: @patch(ns("local")) @patch(ns("Path")) def test_merge_with_no_directory_should_call_git_rebase( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.merge("abc123") mock_git.assert_git_call(["merge", "abc123"]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) def test_merge_with_directory_should_switch_directories(self, local_mock, git_proxy, mock_git): path = Path("/path/to/repo").absolute() git_proxy.merge("abc123", directory=path) mock_git.assert_git_call(["merge", "abc123"]) local_mock.cwd.assert_called_with(path) class TestCurrentCommit: @patch(ns("local")) @patch(ns("Path")) def test_current_commit_with_no_directory_should_return_git_hash( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path mock_git.__getitem__.return_value.return_value = "abc123\n" git_commit = git_proxy.current_commit() mock_git.assert_git_call(["rev-parse", "HEAD"]) assert git_commit == "abc123" @patch(ns("local")) def test_current_commit_with_directory_should_switch_directories( self, local_mock, git_proxy, mock_git ): mock_git.__getitem__.return_value.return_value = "abc123\n" path = Path("/path/to/repo").absolute() git_commit = git_proxy.current_commit(directory=path) mock_git.assert_git_call(["rev-parse", "HEAD"]) assert git_commit == "abc123" local_mock.cwd.assert_called_with(path) class TestMergeBase: @patch(ns("local")) @patch(ns("Path")) def test_merge_base_with_no_directory_should_return_merge_base( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path mock_git.__getitem__.return_value.return_value = "abc123\n" git_commit = git_proxy.merge_base("commit_1", "HEAD") mock_git.assert_git_call(["merge-base", "commit_1", "HEAD"]) assert git_commit == "abc123" @patch(ns("local")) def test_merge_base_with_directory_should_switch_directories( self, local_mock, git_proxy, mock_git ): mock_git.__getitem__.return_value.return_value = "abc123\n" path = Path("/path/to/repo").absolute() git_commit = git_proxy.merge_base("commit_1", "HEAD", directory=path) mock_git.assert_git_call(["merge-base", "commit_1", "HEAD"]) assert git_commit == "abc123" local_mock.cwd.assert_called_with(path) class TestCommit: @patch(ns("local")) @patch(ns("Path")) def test_commit_with_no_directory_should_call_git_commit( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.commit("commit message") mock_git.assert_git_call(["commit", "--message", "commit message"]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) @patch(ns("Path")) def test_commit_with_amend_should_call_git_commit_with_amend( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.commit(amend=True) mock_git.assert_git_call(["commit", "--amend", "--reuse-message=HEAD"]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) @patch(ns("Path")) def test_commit_with_add_should_call_git_commit_with_add( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path git_proxy.commit(amend=True, add=True) mock_git.assert_git_call(["commit", "--amend", "--reuse-message=HEAD", "--all"]) local_mock.cwd.assert_called_with(test_path) @patch(ns("local")) def test_commit_with_directory_should_switch_directories(self, local_mock, git_proxy, mock_git): path = Path("/path/to/repo").absolute() git_proxy.commit("commit message", directory=path) mock_git.assert_git_call(["commit", "--message", "commit message"]) local_mock.cwd.assert_called_with(path) class TestGetBaseName: @patch(ns("local")) @patch(ns("Path")) def test_get_base_name_should_return_default_basename( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path mock_git.__getitem__.return_value.return_value = "origin/master" basename = git_proxy.get_mergebase_branch_name() mock_git.assert_git_call(["symbolic-ref", "refs/remotes/origin/HEAD"]) assert basename == "master" class TestCheckChanges: @patch(ns("local")) @patch(ns("Path")) def test_check_changes_should_return_changes(self, path_mock, local_mock, git_proxy, mock_git): test_path = make_fake_path() path_mock.return_value = test_path mock_git.__getitem__.return_value.return_value = "diff --git aaa bbb\n" diff = git_proxy.check_changes("master") mock_git.assert_git_call(["diff", "master..HEAD"]) assert diff is True @patch(ns("local")) @patch(ns("Path")) def test_current_branch_should_return_branch_name( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path mock_git.__getitem__.return_value.return_value = "branch\n" diff = git_proxy.current_branch() mock_git.assert_git_call(["rev-parse", "--abbrev-ref", "HEAD"]) assert diff == "branch" @patch(ns("local")) @patch(ns("Path")) def test_branch_exist_on_remote_should_return_remote_branch( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path mock_git.__getitem__.return_value.return_value = "origin/branch\n" remote_branch = git_proxy.current_branch_exist_on_remote("branch") mock_git.assert_git_call(["branch", "--remotes", "--contains", "branch"]) assert remote_branch == "origin/branch" class TestPushBranchToRemote: @patch(ns("local")) @patch(ns("Path")) def test_push_should_call_git_push(self, path_mock, local_mock, git_proxy, mock_git): test_path = make_fake_path() path_mock.return_value = test_path mock_git.__getitem__.return_value.return_value = "my-branch" git_proxy.push_branch_to_remote() mock_git.assert_git_call(["push", "-u", "origin", "HEAD"]) @patch(ns("local")) @patch(ns("Path")) def test_push_should_fail_on_protected_branch(self, path_mock, local_mock, git_proxy, mock_git): test_path = make_fake_path() path_mock.return_value = test_path mock_git.__getitem__.return_value.return_value = "master" with pytest.raises(UsageError): git_proxy.push_branch_to_remote() @patch(ns("local")) @patch(ns("Path")) def test_push_with_directory_should_switch_directories( self, path_mock, local_mock, git_proxy, mock_git ): test_path = make_fake_path() path_mock.return_value = test_path path = Path("/path/to/repo").absolute() git_proxy.push_branch_to_remote(directory=path) mock_git.assert_git_call(["push", "-u", "origin", "HEAD"]) local_mock.cwd.assert_called_with(path) class TestDetermineDirectory: @patch(ns("local")) def test_directory_of_none_should_return_cwd(self, local_mock, git_proxy): local_mock.cwd = "fake" assert git_proxy._determine_directory(None) == Path(local_mock.cwd) @patch(ns("local")) def test_relative_directory_should_return_full_path(self, local_mock, git_proxy): directory = Path("a/relative/path") local_mock.cwd = "fake" assert git_proxy._determine_directory(directory) == Path(local_mock.cwd / directory) @patch(ns("local")) def test_absolute_directory_should_return_directory(self, local_mock, git_proxy): directory = Path("/a/absolute/path").absolute() assert git_proxy._determine_directory(directory) == directory

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null

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1

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1

0

null

0

5

659f6965c3a0426b57f75d6fde06f3bdc0844c8e

40

py

Python

response_helpers/models.py

imtapps/django-response-helpers

6ede01edcbc3e04a77604d852c497c9bdefb5acd

[ "BSD-2-Clause" ]

1

2016-11-28T05:54:21.000Z

response_helpers/models.py

imtapps/django-response-helpers

6ede01edcbc3e04a77604d852c497c9bdefb5acd

[ "BSD-2-Clause" ]

1

2022-01-24T14:00:37.000Z

response_helpers/models.py

imtapps/django-response-helpers

6ede01edcbc3e04a77604d852c497c9bdefb5acd

[ "BSD-2-Clause" ]

null

# Django needs a models.py for each app

20

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1

0

null

0

1

0

5

65bd9c6bae71d1fab44fbbca5f789e3427497188

116

py

Python

test.py

AyushBhargav/Isolation-Game-AI

6e5913c4efb83eb6c3f1b33de2a08646fea9ec5f

[ "MIT" ]

null

test.py

AyushBhargav/Isolation-Game-AI

6e5913c4efb83eb6c3f1b33de2a08646fea9ec5f

[ "MIT" ]

null

test.py

AyushBhargav/Isolation-Game-AI

6e5913c4efb83eb6c3f1b33de2a08646fea9ec5f

[ "MIT" ]

null

from gamestate import GameState from minimax_helper import terminal_test g = GameState(2,3) print(terminal_test(g))

23.2

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null

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1

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5

029ccbca23f328330922fd757063f9c2f7ea5561

118

py

Python

runcode/admin.py

vansjyo/OSVI-RemoteControl

6d3dd6aa1cceac2254171d57b33975df08cda2a8

[ "MIT" ]

null

runcode/admin.py

vansjyo/OSVI-RemoteControl

6d3dd6aa1cceac2254171d57b33975df08cda2a8

[ "MIT" ]

null

runcode/admin.py

vansjyo/OSVI-RemoteControl

6d3dd6aa1cceac2254171d57b33975df08cda2a8

[ "MIT" ]

null

from django.contrib import admin from .models import Pycode # Register your models here. admin.site.register(Pycode)

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02bf4c7880fcb78f8c59c9a07821e5e869859703

46

py

Python

spacings/__init__.py

philippeller/spacings

cd33ee01939dfcd27b7fa404f8a18eae07b9eee7

[ "Apache-2.0" ]

6

2021-07-23T12:35:42.000Z

2022-02-22T16:50:23.000Z

spacings/__init__.py

philippeller/spacings

cd33ee01939dfcd27b7fa404f8a18eae07b9eee7

[ "Apache-2.0" ]

null

spacings/__init__.py

philippeller/spacings

cd33ee01939dfcd27b7fa404f8a18eae07b9eee7

[ "Apache-2.0" ]

null

from .rps import rps from .moran import moran

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null

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1

0

5

f3069576522984ce2462eec828da4837a96a4f50

60

py

Python

linguistictoolkit/__init__.py

valestanov/LinguisticToolkit

a57b1ac084449cbf37ee0123b6e907a6674bece4

[ "MIT" ]

null

linguistictoolkit/__init__.py

valestanov/LinguisticToolkit

a57b1ac084449cbf37ee0123b6e907a6674bece4

[ "MIT" ]

null

linguistictoolkit/__init__.py

valestanov/LinguisticToolkit

a57b1ac084449cbf37ee0123b6e907a6674bece4

[ "MIT" ]

null

import os import sys from linguistictoolkit.tools import io

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5

f316c883e4d3eab5d92889f8008f9d18d07e387d

91,515

py

Python

idaes/models_extra/power_generation/flowsheets/subcritical_power_plant/generic_surrogate_dict.py

OOAmusat/idaes-pse

ae7d3bb8e372bc32822dcdcb75e9fd96b78da539

[ "RSA-MD" ]

null

idaes/models_extra/power_generation/flowsheets/subcritical_power_plant/generic_surrogate_dict.py

OOAmusat/idaes-pse

ae7d3bb8e372bc32822dcdcb75e9fd96b78da539

[ "RSA-MD" ]

null

idaes/models_extra/power_generation/flowsheets/subcritical_power_plant/generic_surrogate_dict.py

OOAmusat/idaes-pse

ae7d3bb8e372bc32822dcdcb75e9fd96b78da539

[ "RSA-MD" ]

1

2022-03-17T11:08:43.000Z

################################################################################# # The Institute for the Design of Advanced Energy Systems Integrated Platform # Framework (IDAES IP) was produced under the DOE Institute for the # Design of Advanced Energy Systems (IDAES), and is copyright (c) 2018-2021 # by the software owners: The Regents of the University of California, through # Lawrence Berkeley National Laboratory, National Technology & Engineering # Solutions of Sandia, LLC, Carnegie Mellon University, West Virginia University # Research Corporation, et al. All rights reserved. # # Please see the files COPYRIGHT.md and LICENSE.md for full copyright and # license information. ################################################################################# data_dic = { 1: "(74904.4 * b.wall_temperature_waterwall[t, 1] \ +11301.8 * b.wall_temperature_waterwall[t, 2] \ +2427.54 * b.wall_temperature_waterwall[t, 3] \ +2891.35 * b.wall_temperature_waterwall[t, 4] \ -28320.8 * b.wall_temperature_waterwall[t, 5] \ +171.944 * b.wall_temperature_waterwall[t, 6] \ +14462.9 * b.wall_temperature_waterwall[t, 7] \ +677.973 * b.wall_temperature_waterwall[t, 8] \ -122.598 * b.wall_temperature_waterwall[t, 9] \ -300.609 * b.wall_temperature_waterwall[t, 12] \ +1770.05 * b.wall_temperature_platen[t] \ -169.562 * b.wall_temperature_roof[t] \ +1.92447e+06 * b.flowrate_coal_raw[t] \ +8.65298e+07 * b.mf_H2O_coal_raw[t] \ +1.46803e+09 * b.SR[t] \ -1.68637e+08 * b.SR_lf[t] \ -6385.5 * b.secondary_air_inlet.temperature[t] \ +952262 * b.ratio_PA2coal[t] \ -2.10696e+07 * log(b.wall_temperature_waterwall[t, 1]) \ -5.56721e+06 * log(b.wall_temperature_waterwall[t, 2]) \ -1.21448e+06 * log(b.wall_temperature_waterwall[t, 3]) \ -3.48806e+06 * log(b.wall_temperature_waterwall[t, 4]) \ +1.02069e+07 * log(b.wall_temperature_waterwall[t, 5]) \ -5.47775e+06 * log(b.wall_temperature_waterwall[t, 7]) \ -279177 * log(b.wall_temperature_waterwall[t, 8]) \ +111061 * log(b.wall_temperature_waterwall[t, 9]) \ -646506 * log(b.wall_temperature_platen[t]) \ +3.96004e+06 * log(b.flowrate_coal_raw[t]) \ +45092.6 * log(b.mf_H2O_coal_raw[t]) \ -3.9193e+08 * log(b.SR[t]) \ +1.61406e+08 * log(b.SR_lf[t]) \ -3.84139e+06 * log(b.secondary_air_inlet.temperature[t]) \ +556876 * log(b.ratio_PA2coal[t]) \ -9.88017e+07 * exp(b.mf_H2O_coal_raw[t]) \ -2.86022e+08 * exp(b.SR[t]) \ -35.7424 * b.wall_temperature_waterwall[t, 1]**2 \ +10.3165 * b.wall_temperature_waterwall[t, 5]**2 \ -4.85009 * b.wall_temperature_waterwall[t, 7]**2 \ -21190.8 * b.flowrate_coal_raw[t]**2 \ -5.00302e+08 * b.SR[t]**2 \ +179.062 * b.flowrate_coal_raw[t]**3 \ +2.33815e+08 * b.SR[t]**3 \ -74.5573 * b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t] \ -0.202341 * b.wall_temperature_waterwall[t, 2]*b.wall_temperature_waterwall[t, 3] \ -52.6317 * b.wall_temperature_waterwall[t, 2]*b.flowrate_coal_raw[t] \ +0.243508 * b.wall_temperature_waterwall[t, 2]*b.secondary_air_inlet.temperature[t] \ -39.6689 * b.wall_temperature_waterwall[t, 2]*b.ratio_PA2coal[t] \ -0.320972 * b.wall_temperature_waterwall[t, 3]*b.wall_temperature_waterwall[t, 4] \ -9.03032 * b.wall_temperature_waterwall[t, 3]*b.flowrate_coal_raw[t] \ +1.08186 * b.wall_temperature_waterwall[t, 3]*b.secondary_air_inlet.temperature[t] \ +0.525868 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_roof[t] \ -39.011 * b.wall_temperature_waterwall[t, 4]*b.flowrate_coal_raw[t] \ +4489.28 * b.wall_temperature_waterwall[t, 4]*b.SR[t] \ -629.837 * b.wall_temperature_waterwall[t, 5]*b.SR_lf[t] \ +44.344 * b.wall_temperature_waterwall[t, 5]*b.ratio_PA2coal[t] \ +1.72535 * b.wall_temperature_waterwall[t, 7]*b.flowrate_coal_raw[t] \ +796.63 * b.wall_temperature_waterwall[t, 7]*b.mf_H2O_coal_raw[t] \ +0.282511 * b.wall_temperature_waterwall[t, 7]*b.secondary_air_inlet.temperature[t] \ +0.447853 * b.wall_temperature_waterwall[t, 8]*b.wall_temperature_waterwall[t, 12] \ -0.343465 * b.wall_temperature_waterwall[t, 8]*b.wall_temperature_platen[t] \ -32.6091 * b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t] \ +1107.94 * b.wall_temperature_waterwall[t, 8]*b.mf_H2O_coal_raw[t] \ +0.0605128 * b.wall_temperature_waterwall[t, 10]*b.wall_temperature_waterwall[t, 11] \ -0.463551 * b.wall_temperature_platen[t]*b.wall_temperature_roof[t] \ +6.50059 * b.wall_temperature_platen[t]*b.flowrate_coal_raw[t] \ -1051.37 * b.wall_temperature_platen[t]*b.mf_H2O_coal_raw[t] \ -6.1049 * b.wall_temperature_platen[t]*b.ratio_PA2coal[t] \ -5465.56 * b.wall_temperature_roof[t]*b.mf_H2O_coal_raw[t] \ +0.833308 * b.wall_temperature_roof[t]*b.secondary_air_inlet.temperature[t] \ -1.75056e+06 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ -183240 * b.flowrate_coal_raw[t]*b.SR[t] \ -310130 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ +957.014 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -39804.2 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ +4.49631e+06 * b.mf_H2O_coal_raw[t]*b.SR[t] \ +2.16414e+07 * b.mf_H2O_coal_raw[t]*b.SR_lf[t] \ -19740 * b.mf_H2O_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -4.21302e+06 * b.SR[t]*b.SR_lf[t] \ +132221 * b.SR[t]*b.ratio_PA2coal[t] \ +20016.4 * b.SR_lf[t]*b.secondary_air_inlet.temperature[t] \ -2318.51 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ +0.000979408 * (b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t])**2 \ +0.000719763 * (b.wall_temperature_waterwall[t, 2]*b.flowrate_coal_raw[t])**2 \ +0.000572793 * (b.wall_temperature_waterwall[t, 4]*b.flowrate_coal_raw[t])**2 \ -1.27643 * (b.wall_temperature_waterwall[t, 4]*b.SR[t])**2 \ +0.000450081 * (b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t])**2 \ +140272 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**2 \ +666.822 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ -3994.96 * (b.flowrate_coal_raw[t]*b.SR_lf[t])**2 \ -0.00660786 * (b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t])**2 \ +85.0348 * (b.flowrate_coal_raw[t]*b.ratio_PA2coal[t])**2 \ +0.102891 * (b.wall_temperature_roof[t]*b.mf_H2O_coal_raw[t])**3 \ -7838.06 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**3)", 2: "(9402.37 * b.wall_temperature_waterwall[t, 1] \ +63618 * b.wall_temperature_waterwall[t, 2] \ +2118.88 * b.wall_temperature_waterwall[t, 3] \ +1821.84 * b.wall_temperature_waterwall[t, 4] \ -24586.5 * b.wall_temperature_waterwall[t, 5] \ +166.046 * b.wall_temperature_waterwall[t, 6] \ +695.921 * b.wall_temperature_waterwall[t, 7] \ +1070.12 * b.wall_temperature_waterwall[t, 8] \ -231.135 * b.wall_temperature_waterwall[t, 9] \ +18.6849 * b.wall_temperature_waterwall[t, 12] \ +1794.21 * b.wall_temperature_platen[t] \ +2842.9 * b.wall_temperature_roof[t] \ +2.04728e+06 * b.flowrate_coal_raw[t] \ +9.13283e+07 * b.mf_H2O_coal_raw[t] \ +6.91793e+06 * b.SR[t] \ +4.81359e+08 * b.SR_lf[t] \ -40341.5 * b.secondary_air_inlet.temperature[t] \ +1.1322e+06 * b.ratio_PA2coal[t] \ -4.24844e+06 * log(b.wall_temperature_waterwall[t, 1]) \ -1.67693e+07 * log(b.wall_temperature_waterwall[t, 2]) \ -1.2861e+06 * log(b.wall_temperature_waterwall[t, 3]) \ -4.45769e+06 * log(b.wall_temperature_waterwall[t, 4]) \ +9.0161e+06 * log(b.wall_temperature_waterwall[t, 5]) \ -537334 * log(b.wall_temperature_waterwall[t, 8]) \ +181486 * log(b.wall_temperature_waterwall[t, 9]) \ -715084 * log(b.wall_temperature_platen[t]) \ +4.61896e+06 * log(b.flowrate_coal_raw[t]) \ +30243.2 * log(b.mf_H2O_coal_raw[t]) \ -8.42989e+06 * log(b.SR[t]) \ -1.45952e+08 * log(b.SR_lf[t]) \ +9.65255e+06 * log(b.secondary_air_inlet.temperature[t]) \ +490346 * log(b.ratio_PA2coal[t]) \ -1.04352e+08 * exp(b.mf_H2O_coal_raw[t]) \ -1.24828e+08 * exp(b.SR_lf[t]) \ -30.804 * b.wall_temperature_waterwall[t, 2]**2 \ +9.2668 * b.wall_temperature_waterwall[t, 5]**2 \ -21962.3 * b.flowrate_coal_raw[t]**2 \ +185.889 * b.flowrate_coal_raw[t]**3 \ +0.0096263 * b.secondary_air_inlet.temperature[t]**3 \ -76.1054 * b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t] \ -81.3516 * b.wall_temperature_waterwall[t, 2]*b.flowrate_coal_raw[t] \ +1570.34 * b.wall_temperature_waterwall[t, 2]*b.mf_H2O_coal_raw[t] \ -2440.82 * b.wall_temperature_waterwall[t, 2]*b.SR_lf[t] \ +0.527827 * b.wall_temperature_waterwall[t, 2]*b.secondary_air_inlet.temperature[t] \ -31.6806 * b.wall_temperature_waterwall[t, 2]*b.ratio_PA2coal[t] \ -11.9902 * b.wall_temperature_waterwall[t, 3]*b.flowrate_coal_raw[t] \ +1.17551 * b.wall_temperature_waterwall[t, 3]*b.secondary_air_inlet.temperature[t] \ +0.712584 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_roof[t] \ -8.98673 * b.wall_temperature_waterwall[t, 4]*b.flowrate_coal_raw[t] \ +6307.56 * b.wall_temperature_waterwall[t, 4]*b.SR[t] \ +1.03784 * b.wall_temperature_waterwall[t, 4]*b.secondary_air_inlet.temperature[t] \ -3.53159 * b.wall_temperature_waterwall[t, 5]*b.flowrate_coal_raw[t] \ -1225.87 * b.wall_temperature_waterwall[t, 5]*b.SR_lf[t] \ +85.2083 * b.wall_temperature_waterwall[t, 5]*b.ratio_PA2coal[t] \ +656.338 * b.wall_temperature_waterwall[t, 7]*b.mf_H2O_coal_raw[t] \ -674.09 * b.wall_temperature_waterwall[t, 7]*b.SR_lf[t] \ -0.265762 * b.wall_temperature_waterwall[t, 8]*b.wall_temperature_platen[t] \ -8.30267 * b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t] \ +1227.37 * b.wall_temperature_waterwall[t, 8]*b.mf_H2O_coal_raw[t] \ +0.0526552 * b.wall_temperature_waterwall[t, 10]*b.wall_temperature_waterwall[t, 11] \ -0.407706 * b.wall_temperature_platen[t]*b.wall_temperature_roof[t] \ +7.81514 * b.wall_temperature_platen[t]*b.flowrate_coal_raw[t] \ -1118.85 * b.wall_temperature_platen[t]*b.mf_H2O_coal_raw[t] \ -15.2498 * b.wall_temperature_platen[t]*b.ratio_PA2coal[t] \ -4845.51 * b.wall_temperature_roof[t]*b.mf_H2O_coal_raw[t] \ -3234.16 * b.wall_temperature_roof[t]*b.SR_lf[t] \ +0.69596 * b.wall_temperature_roof[t]*b.secondary_air_inlet.temperature[t] \ -1.8204e+06 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ -159924 * b.flowrate_coal_raw[t]*b.SR[t] \ -398436 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ +1029.33 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -42896.7 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ +3.55413e+06 * b.mf_H2O_coal_raw[t]*b.SR[t] \ +2.26223e+07 * b.mf_H2O_coal_raw[t]*b.SR_lf[t] \ -20279.8 * b.mf_H2O_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -3.77353e+06 * b.SR[t]*b.SR_lf[t] \ +308.059 * b.SR[t]*b.secondary_air_inlet.temperature[t] \ +107358 * b.SR[t]*b.ratio_PA2coal[t] \ +20666.6 * b.SR_lf[t]*b.secondary_air_inlet.temperature[t] \ -2564.62 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ +0.00107543 * (b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t])**2 \ +0.000875275 * (b.wall_temperature_waterwall[t, 2]*b.flowrate_coal_raw[t])**2 \ -1.75451 * (b.wall_temperature_waterwall[t, 4]*b.SR[t])**2 \ +149896 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**2 \ +654.854 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ -3875.11 * (b.flowrate_coal_raw[t]*b.SR_lf[t])**2 \ -0.00723196 * (b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t])**2 \ +91.9401 * (b.flowrate_coal_raw[t]*b.ratio_PA2coal[t])**2 \ +0.0961783 * (b.wall_temperature_roof[t]*b.mf_H2O_coal_raw[t])**3 \ -8608.57 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**3)", 3: "(2825.25 * b.wall_temperature_waterwall[t, 1] \ +3496.16 * b.wall_temperature_waterwall[t, 2] \ +39611.4 * b.wall_temperature_waterwall[t, 3] \ +2064.54 * b.wall_temperature_waterwall[t, 4] \ -19353.7 * b.wall_temperature_waterwall[t, 5] \ +140.98 * b.wall_temperature_waterwall[t, 6] \ -95.4723 * b.wall_temperature_waterwall[t, 7] \ +180.791 * b.wall_temperature_waterwall[t, 8] \ +20.6861 * b.wall_temperature_waterwall[t, 12] \ -77.5609 * b.wall_temperature_platen[t] \ +1.76659e+06 * b.flowrate_coal_raw[t] \ +2.73809e+07 * b.mf_H2O_coal_raw[t] \ +1.30314e+07 * b.SR[t] \ +2.99323e+08 * b.SR_lf[t] \ -8992.63 * b.secondary_air_inlet.temperature[t] \ +743538 * b.ratio_PA2coal[t] \ -1.21925e+06 * log(b.wall_temperature_waterwall[t, 1]) \ -1.70788e+06 * log(b.wall_temperature_waterwall[t, 2]) \ -1.11283e+07 * log(b.wall_temperature_waterwall[t, 3]) \ -1.15967e+06 * log(b.wall_temperature_waterwall[t, 4]) \ +6.95686e+06 * log(b.wall_temperature_waterwall[t, 5]) \ +3.12918e+06 * log(b.flowrate_coal_raw[t]) \ +86928.8 * log(b.mf_H2O_coal_raw[t]) \ -1.11133e+07 * log(b.SR[t]) \ -8.27815e+07 * log(b.SR_lf[t]) \ +317858 * log(b.ratio_PA2coal[t]) \ -4.84182e+07 * exp(b.mf_H2O_coal_raw[t]) \ -969324 * exp(b.SR[t]) \ -8.1132e+07 * exp(b.SR_lf[t]) \ -20.0424 * b.wall_temperature_waterwall[t, 3]**2 \ +7.21081 * b.wall_temperature_waterwall[t, 5]**2 \ +0.177218 * b.wall_temperature_waterwall[t, 8]**2 \ +0.469474 * b.wall_temperature_platen[t]**2 \ -19318.5 * b.flowrate_coal_raw[t]**2 \ +3.33513 * b.secondary_air_inlet.temperature[t]**2 \ +149.518 * b.flowrate_coal_raw[t]**3 \ -29.4453 * b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t] \ -32.348 * b.wall_temperature_waterwall[t, 2]*b.flowrate_coal_raw[t] \ +0.37361 * b.wall_temperature_waterwall[t, 2]*b.secondary_air_inlet.temperature[t] \ -49.1179 * b.wall_temperature_waterwall[t, 2]*b.ratio_PA2coal[t] \ -0.0559492 * b.wall_temperature_waterwall[t, 3]*b.wall_temperature_waterwall[t, 8] \ -24.6599 * b.wall_temperature_waterwall[t, 3]*b.flowrate_coal_raw[t] \ +1.0472 * b.wall_temperature_waterwall[t, 3]*b.secondary_air_inlet.temperature[t] \ +0.051371 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_waterwall[t, 8] \ +0.291925 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_roof[t] \ -7.09556 * b.wall_temperature_waterwall[t, 4]*b.flowrate_coal_raw[t] \ -579.937 * b.wall_temperature_waterwall[t, 5]*b.SR_lf[t] \ +30.4256 * b.wall_temperature_waterwall[t, 5]*b.ratio_PA2coal[t] \ +0.187627 * b.wall_temperature_waterwall[t, 7]*b.wall_temperature_roof[t] \ +506.243 * b.wall_temperature_waterwall[t, 7]*b.mf_H2O_coal_raw[t] \ -0.209174 * b.wall_temperature_waterwall[t, 8]*b.wall_temperature_platen[t] \ -27.8211 * b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t] \ +808.58 * b.wall_temperature_waterwall[t, 8]*b.mf_H2O_coal_raw[t] \ +0.0378872 * b.wall_temperature_waterwall[t, 10]*b.wall_temperature_waterwall[t, 11] \ -0.427984 * b.wall_temperature_platen[t]*b.wall_temperature_roof[t] \ +3.97146 * b.wall_temperature_platen[t]*b.flowrate_coal_raw[t] \ -2.56524 * b.wall_temperature_platen[t]*b.ratio_PA2coal[t] \ -1.1316e+06 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ -149208 * b.flowrate_coal_raw[t]*b.SR[t] \ -620763 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ +692.429 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -27383.3 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ +2.74367e+06 * b.mf_H2O_coal_raw[t]*b.SR[t] \ +2.19307e+07 * b.mf_H2O_coal_raw[t]*b.SR_lf[t] \ -12923.6 * b.mf_H2O_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -1.89277e+06 * b.SR[t]*b.SR_lf[t] \ +538.573 * b.SR[t]*b.secondary_air_inlet.temperature[t] \ +91705.4 * b.SR[t]*b.ratio_PA2coal[t] \ +9695.45 * b.SR_lf[t]*b.secondary_air_inlet.temperature[t] \ -1698.89 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ +0.000466813 * (b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t])**2 \ +0.000489048 * (b.wall_temperature_waterwall[t, 2]*b.flowrate_coal_raw[t])**2 \ -0.0629385 * (b.wall_temperature_waterwall[t, 4]*b.SR[t])**2 \ +0.000414 * (b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t])**2 \ +94334.8 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**2 \ +647.348 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ -0.00513905 * (b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t])**2 \ +57.4901 * (b.flowrate_coal_raw[t]*b.ratio_PA2coal[t])**2 \ -5271.02 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**3)", 4: "(30998 * b.wall_temperature_waterwall[t, 1] \ +2457.99 * b.wall_temperature_waterwall[t, 2] \ +1137.13 * b.wall_temperature_waterwall[t, 3] \ +19608.1 * b.wall_temperature_waterwall[t, 4] \ -19918.2 * b.wall_temperature_waterwall[t, 5] \ +919.01 * b.wall_temperature_waterwall[t, 6] \ +369.947 * b.wall_temperature_waterwall[t, 7] \ +646.454 * b.wall_temperature_waterwall[t, 8] \ +102.897 * b.wall_temperature_waterwall[t, 10] \ +24.8228 * b.wall_temperature_waterwall[t, 12] \ +1739.59 * b.wall_temperature_platen[t] \ +1.89204e+06 * b.flowrate_coal_raw[t] \ +6.68693e+07 * b.mf_H2O_coal_raw[t] \ +4.63505e+06 * b.SR[t] \ +4.53751e+08 * b.SR_lf[t] \ +1612.6 * b.secondary_air_inlet.temperature[t] \ +924842 * b.ratio_PA2coal[t] \ -1.07435e+07 * log(b.wall_temperature_waterwall[t, 1]) \ -1.48504e+06 * log(b.wall_temperature_waterwall[t, 2]) \ -750102 * log(b.wall_temperature_waterwall[t, 3]) \ -7.28634e+06 * log(b.wall_temperature_waterwall[t, 4]) \ +7.19016e+06 * log(b.wall_temperature_waterwall[t, 5]) \ -342011 * log(b.wall_temperature_waterwall[t, 6]) \ -465932 * log(b.wall_temperature_waterwall[t, 7]) \ -275633 * log(b.wall_temperature_waterwall[t, 8]) \ -500395 * log(b.wall_temperature_platen[t]) \ +3.33092e+06 * log(b.flowrate_coal_raw[t]) \ -1.06661e+07 * log(b.SR[t]) \ -1.71633e+08 * log(b.SR_lf[t]) \ -3.18827e+06 * log(b.secondary_air_inlet.temperature[t]) \ -8.32439e+07 * exp(b.mf_H2O_coal_raw[t]) \ -1.05477e+08 * exp(b.SR_lf[t]) \ -10.3499 * b.wall_temperature_waterwall[t, 1]**2 \ -12.7144 * b.wall_temperature_waterwall[t, 4]**2 \ +7.8685 * b.wall_temperature_waterwall[t, 5]**2 \ -19144.9 * b.flowrate_coal_raw[t]**2 \ +143.33 * b.flowrate_coal_raw[t]**3 \ -24.1862 * b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t] \ -28.4264 * b.wall_temperature_waterwall[t, 1]*b.mf_H2O_coal_raw[t] \ -312.37 * b.wall_temperature_waterwall[t, 1]*b.SR_lf[t] \ -3.62923 * b.wall_temperature_waterwall[t, 2]*b.flowrate_coal_raw[t] \ +0.58587 * b.wall_temperature_waterwall[t, 2]*b.secondary_air_inlet.temperature[t] \ -20.9999 * b.wall_temperature_waterwall[t, 2]*b.ratio_PA2coal[t] \ -4.26059 * b.wall_temperature_waterwall[t, 3]*b.flowrate_coal_raw[t] \ +0.849726 * b.wall_temperature_waterwall[t, 3]*b.secondary_air_inlet.temperature[t] \ +0.383348 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_roof[t] \ -31.1716 * b.wall_temperature_waterwall[t, 4]*b.flowrate_coal_raw[t] \ +6795.15 * b.wall_temperature_waterwall[t, 4]*b.SR[t] \ -0.334707 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 6] \ +0.0296533 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_roof[t] \ -6.75789 * b.wall_temperature_waterwall[t, 5]*b.flowrate_coal_raw[t] \ -887.887 * b.wall_temperature_waterwall[t, 5]*b.SR_lf[t] \ +54.121 * b.wall_temperature_waterwall[t, 5]*b.ratio_PA2coal[t] \ +0.390219 * b.wall_temperature_waterwall[t, 7]*b.wall_temperature_roof[t] \ +617.963 * b.wall_temperature_waterwall[t, 7]*b.mf_H2O_coal_raw[t] \ -354.236 * b.wall_temperature_waterwall[t, 7]*b.SR_lf[t] \ +0.668885 * b.wall_temperature_waterwall[t, 7]*b.secondary_air_inlet.temperature[t] \ +0.368313 * b.wall_temperature_waterwall[t, 8]*b.wall_temperature_waterwall[t, 10] \ -0.224167 * b.wall_temperature_waterwall[t, 8]*b.wall_temperature_platen[t] \ -32.5371 * b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t] \ +944.267 * b.wall_temperature_waterwall[t, 8]*b.mf_H2O_coal_raw[t] \ -0.444565 * b.wall_temperature_waterwall[t, 10]*b.wall_temperature_platen[t] \ +482.957 * b.wall_temperature_waterwall[t, 11]*b.mf_H2O_coal_raw[t] \ -0.448545 * b.wall_temperature_platen[t]*b.wall_temperature_roof[t] \ -92.9318 * b.wall_temperature_roof[t]*b.ratio_PA2coal[t] \ -965339 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ -238814 * b.flowrate_coal_raw[t]*b.SR[t] \ -656822 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ +742.242 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -26766.3 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ -1.27395e+06 * b.mf_H2O_coal_raw[t]*b.SR[t] \ +2.30581e+07 * b.mf_H2O_coal_raw[t]*b.SR_lf[t] \ -13952.1 * b.mf_H2O_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -269639 * b.mf_H2O_coal_raw[t]*b.ratio_PA2coal[t] \ +841.556 * b.SR[t]*b.secondary_air_inlet.temperature[t] \ +84459.4 * b.SR[t]*b.ratio_PA2coal[t] \ +7494.08 * b.SR_lf[t]*b.secondary_air_inlet.temperature[t] \ -1672.75 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ +0.000370175 * (b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t])**2 \ -1.84302 * (b.wall_temperature_waterwall[t, 4]*b.SR[t])**2 \ +0.000463608 * (b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t])**2 \ +45660.1 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**2 \ +978.377 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ -0.00577998 * (b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t])**2 \ +51.3598 * (b.flowrate_coal_raw[t]*b.ratio_PA2coal[t])**2 \ +1.03552e+07 * (b.mf_H2O_coal_raw[t]*b.SR[t])**2)", 5: "(1381.36 * b.wall_temperature_waterwall[t, 1] \ +2323.67 * b.wall_temperature_waterwall[t, 2] \ +16.5773 * b.wall_temperature_waterwall[t, 3] \ +1352.22 * b.wall_temperature_waterwall[t, 4] \ -16466.5 * b.wall_temperature_waterwall[t, 5] \ +899.714 * b.wall_temperature_waterwall[t, 6] \ +3.93998 * b.wall_temperature_waterwall[t, 7] \ +1266.5 * b.wall_temperature_waterwall[t, 8] \ +27.0207 * b.wall_temperature_waterwall[t, 12] \ +1538.23 * b.wall_temperature_platen[t] \ +2873.09 * b.wall_temperature_roof[t] \ +1.97605e+06 * b.flowrate_coal_raw[t] \ -1.23146e+08 * b.mf_H2O_coal_raw[t] \ +7.90727e+06 * b.SR[t] \ -8.28156e+07 * b.SR_lf[t] \ +8409.65 * b.secondary_air_inlet.temperature[t] \ +771488 * b.ratio_PA2coal[t] \ -512140 * log(b.wall_temperature_waterwall[t, 1]) \ -960400 * log(b.wall_temperature_waterwall[t, 2]) \ -1.69396e+06 * log(b.wall_temperature_waterwall[t, 5]) \ -578390 * log(b.wall_temperature_waterwall[t, 8]) \ -500164 * log(b.wall_temperature_platen[t]) \ +3.27151e+06 * log(b.flowrate_coal_raw[t]) \ -207751 * log(b.mf_H2O_coal_raw[t]) \ -1.3498e+07 * log(b.SR[t]) \ +7.59142e+07 * log(b.SR_lf[t]) \ -3.4224e+06 * log(b.secondary_air_inlet.temperature[t]) \ +1.08294e+08 * exp(b.mf_H2O_coal_raw[t]) \ +0.728811 * b.wall_temperature_waterwall[t, 4]**2 \ -18833.1 * b.flowrate_coal_raw[t]**2 \ -9.85614e+07 * b.mf_H2O_coal_raw[t]**2 \ +120.533 * b.flowrate_coal_raw[t]**3 \ -0.0492326 * b.wall_temperature_waterwall[t, 1]*b.wall_temperature_waterwall[t, 11] \ -22.6501 * b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t] \ -0.453682 * b.wall_temperature_waterwall[t, 2]*b.wall_temperature_waterwall[t, 5] \ -0.372273 * b.wall_temperature_waterwall[t, 2]*b.wall_temperature_platen[t] \ +0.420252 * b.wall_temperature_waterwall[t, 2]*b.secondary_air_inlet.temperature[t] \ -78.644 * b.wall_temperature_waterwall[t, 2]*b.ratio_PA2coal[t] \ -0.548922 * b.wall_temperature_waterwall[t, 3]*b.wall_temperature_waterwall[t, 4] \ +0.782376 * b.wall_temperature_waterwall[t, 3]*b.wall_temperature_waterwall[t, 11] \ +176.927 * b.wall_temperature_waterwall[t, 3]*b.SR[t] \ -0.0216351 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_waterwall[t, 8] \ +0.521495 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_roof[t] \ -23.7278 * b.wall_temperature_waterwall[t, 4]*b.flowrate_coal_raw[t] \ -354.669 * b.wall_temperature_waterwall[t, 4]*b.SR[t] \ -1800.24 * b.wall_temperature_waterwall[t, 4]*b.SR_lf[t] \ +1.00785 * b.wall_temperature_waterwall[t, 4]*b.secondary_air_inlet.temperature[t] \ -0.320146 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 6] \ -36.3443 * b.wall_temperature_waterwall[t, 5]*b.flowrate_coal_raw[t] \ -276.22 * b.wall_temperature_waterwall[t, 5]*b.SR[t] \ +31986.7 * b.wall_temperature_waterwall[t, 5]*b.SR_lf[t] \ -33.1281 * b.wall_temperature_waterwall[t, 6]*b.flowrate_coal_raw[t] \ +0.337834 * b.wall_temperature_waterwall[t, 7]*b.secondary_air_inlet.temperature[t] \ -22.6854 * b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t] \ +0.0949332 * b.wall_temperature_waterwall[t, 9]*b.wall_temperature_waterwall[t, 10] \ -0.836476 * b.wall_temperature_waterwall[t, 11]*b.secondary_air_inlet.temperature[t] \ -0.524954 * b.wall_temperature_platen[t]*b.wall_temperature_roof[t] \ +3.06373 * b.wall_temperature_platen[t]*b.flowrate_coal_raw[t] \ +424.529 * b.wall_temperature_roof[t]*b.mf_H2O_coal_raw[t] \ -2856.66 * b.wall_temperature_roof[t]*b.SR_lf[t] \ -983765 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ -407939 * b.flowrate_coal_raw[t]*b.SR[t] \ -532340 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ +744.637 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -24675.1 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ +6.59033e+06 * b.mf_H2O_coal_raw[t]*b.SR[t] \ +1.76578e+07 * b.mf_H2O_coal_raw[t]*b.SR_lf[t] \ -14012.2 * b.mf_H2O_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ +2047.81 * b.SR[t]*b.secondary_air_inlet.temperature[t] \ +136654 * b.SR[t]*b.ratio_PA2coal[t] \ -1520.71 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ +0.000356587 * (b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t])**2 \ +0.000348091 * (b.wall_temperature_waterwall[t, 4]*b.flowrate_coal_raw[t])**2 \ -11.5928 * (b.wall_temperature_waterwall[t, 5]*b.SR_lf[t])**2 \ +0.000500883 * (b.wall_temperature_waterwall[t, 6]*b.flowrate_coal_raw[t])**2 \ +0.000224347 * (b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t])**2 \ -0.0108347 * (b.wall_temperature_roof[t]*b.ratio_PA2coal[t])**2 \ +46556.5 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**2 \ +1577.66 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ -0.00554362 * (b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t])**2 \ +43.5639 * (b.flowrate_coal_raw[t]*b.ratio_PA2coal[t])**2)", 6: "(23766.1 * b.wall_temperature_waterwall[t, 1] \ +1109.67 * b.wall_temperature_waterwall[t, 2] \ -411.801 * b.wall_temperature_waterwall[t, 3] \ +1277.07 * b.wall_temperature_waterwall[t, 4] \ +1664.61 * b.wall_temperature_waterwall[t, 5] \ -144143 * b.wall_temperature_waterwall[t, 6] \ +321.352 * b.wall_temperature_waterwall[t, 7] \ +2667.15 * b.wall_temperature_waterwall[t, 8] \ +812.223 * b.wall_temperature_waterwall[t, 9] \ +278.07 * b.wall_temperature_waterwall[t, 10] \ -357.846 * b.wall_temperature_waterwall[t, 11] \ +955.339 * b.wall_temperature_waterwall[t, 12] \ +1101.44 * b.wall_temperature_platen[t] \ -1083.91 * b.wall_temperature_roof[t] \ +1.87747e+06 * b.flowrate_coal_raw[t] \ +6.52201e+07 * b.mf_H2O_coal_raw[t] \ +1.15786e+07 * b.SR[t] \ +78146.6 * b.SR_lf[t] \ +8886.98 * b.secondary_air_inlet.temperature[t] \ +349860 * b.ratio_PA2coal[t] \ -1.03956e+07 * log(b.wall_temperature_waterwall[t, 1]) \ +410736 * log(b.wall_temperature_waterwall[t, 3]) \ +2.84904e+07 * log(b.wall_temperature_waterwall[t, 6]) \ -982762 * log(b.wall_temperature_waterwall[t, 8]) \ -638942 * log(b.wall_temperature_platen[t]) \ +2.51419e+06 * log(b.flowrate_coal_raw[t]) \ -355831 * log(b.mf_H2O_coal_raw[t]) \ -3.22971e+07 * log(b.SR[t]) \ -3.53833e+06 * log(b.secondary_air_inlet.temperature[t]) \ -7.27122e+07 * exp(b.mf_H2O_coal_raw[t]) \ +121.792 * b.wall_temperature_waterwall[t, 6]**2 \ -17167.1 * b.flowrate_coal_raw[t]**2 \ -0.00511324 * b.wall_temperature_waterwall[t, 1]**3 \ -0.0481974 * b.wall_temperature_waterwall[t, 6]**3 \ +74.4938 * b.flowrate_coal_raw[t]**3 \ -0.919796 * b.wall_temperature_waterwall[t, 1]*b.wall_temperature_waterwall[t, 8] \ +0.0606529 * b.wall_temperature_waterwall[t, 1]*b.wall_temperature_waterwall[t, 10] \ -46.0797 * b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t] \ -0.499405 * b.wall_temperature_waterwall[t, 2]*b.wall_temperature_waterwall[t, 5] \ -181.556 * b.wall_temperature_waterwall[t, 2]*b.ratio_PA2coal[t] \ +116.97 * b.wall_temperature_waterwall[t, 3]*b.SR[t] \ +0.393401 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_waterwall[t, 6] \ +0.675614 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_waterwall[t, 10] \ -753.901 * b.wall_temperature_waterwall[t, 4]*b.SR[t] \ -2042.45 * b.wall_temperature_waterwall[t, 4]*b.SR_lf[t] \ +2.15852 * b.wall_temperature_waterwall[t, 4]*b.secondary_air_inlet.temperature[t] \ -0.224207 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 8] \ +0.275077 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 10] \ -620.705 * b.wall_temperature_waterwall[t, 5]*b.SR[t] \ -99.9039 * b.wall_temperature_waterwall[t, 6]*b.flowrate_coal_raw[t] \ -14.5881 * b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t] \ -534.118 * b.wall_temperature_waterwall[t, 9]*b.SR[t] \ -1.31088 * b.wall_temperature_waterwall[t, 10]*b.wall_temperature_waterwall[t, 12] \ -1.41959 * b.wall_temperature_waterwall[t, 11]*b.flowrate_coal_raw[t] \ +177.07 * b.wall_temperature_waterwall[t, 11]*b.ratio_PA2coal[t] \ +0.753534 * b.wall_temperature_platen[t]*b.flowrate_coal_raw[t] \ +7.17536 * b.wall_temperature_roof[t]*b.flowrate_coal_raw[t] \ +1.88795 * b.wall_temperature_roof[t]*b.secondary_air_inlet.temperature[t] \ -83.1177 * b.wall_temperature_roof[t]*b.ratio_PA2coal[t] \ -796480 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ -1.00571e+06 * b.flowrate_coal_raw[t]*b.SR[t] \ +101563 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ +662.665 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -12441.5 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ +1.61179e+07 * b.mf_H2O_coal_raw[t]*b.SR[t] \ -11495.5 * b.mf_H2O_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ +8.29731e+06 * b.SR[t]*b.SR_lf[t] \ +6537.87 * b.SR[t]*b.secondary_air_inlet.temperature[t] \ +160251 * b.SR[t]*b.ratio_PA2coal[t] \ -9390.64 * b.SR_lf[t]*b.secondary_air_inlet.temperature[t] \ -957.772 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ +0.000819586 * (b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t])**2 \ +0.00102671 * (b.wall_temperature_waterwall[t, 6]*b.flowrate_coal_raw[t])**2 \ -2.36557e-06 * (b.wall_temperature_waterwall[t, 7]*b.flowrate_coal_raw[t])**2 \ +37045.4 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**2 \ +3479.38 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ -0.00390226 * (b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t])**2)", 7: "(353.147 * b.wall_temperature_waterwall[t, 1] \ +944.788 * b.wall_temperature_waterwall[t, 2] \ -715.67 * b.wall_temperature_waterwall[t, 3] \ -113.773 * b.wall_temperature_waterwall[t, 4] \ +1714.33 * b.wall_temperature_waterwall[t, 5] \ +1186.75 * b.wall_temperature_waterwall[t, 6] \ -41011.8 * b.wall_temperature_waterwall[t, 7] \ +2313.62 * b.wall_temperature_waterwall[t, 8] \ +1044.74 * b.wall_temperature_waterwall[t, 9] \ -193.394 * b.wall_temperature_waterwall[t, 10] \ -1258.23 * b.wall_temperature_waterwall[t, 11] \ +971.027 * b.wall_temperature_waterwall[t, 12] \ +1359.51 * b.wall_temperature_platen[t] \ -694.308 * b.wall_temperature_roof[t] \ +1.69143e+06 * b.flowrate_coal_raw[t] \ -1.14413e+07 * b.mf_H2O_coal_raw[t] \ +8.24903e+06 * b.SR[t] \ -157814 * b.SR_lf[t] \ +2768.6 * b.secondary_air_inlet.temperature[t] \ +477829 * b.ratio_PA2coal[t] \ +146588 * log(b.wall_temperature_waterwall[t, 1]) \ +581939 * log(b.wall_temperature_waterwall[t, 3]) \ -224896 * log(b.wall_temperature_waterwall[t, 4]) \ -1.10027e+06 * log(b.wall_temperature_waterwall[t, 8]) \ -785548 * log(b.wall_temperature_platen[t]) \ +2.17579e+06 * log(b.flowrate_coal_raw[t]) \ -254748 * log(b.mf_H2O_coal_raw[t]) \ -2.27807e+07 * log(b.SR[t]) \ +59.8201 * b.wall_temperature_waterwall[t, 7]**2 \ -13890.7 * b.flowrate_coal_raw[t]**2 \ -3.2383e+07 * b.mf_H2O_coal_raw[t]**2 \ -0.0319362 * b.wall_temperature_waterwall[t, 7]**3 \ +52.1526 * b.flowrate_coal_raw[t]**3 \ -0.830502 * b.wall_temperature_waterwall[t, 1]*b.wall_temperature_waterwall[t, 8] \ +0.226652 * b.wall_temperature_waterwall[t, 1]*b.wall_temperature_waterwall[t, 10] \ -76.2281 * b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t] \ +779.831 * b.wall_temperature_waterwall[t, 1]*b.SR_lf[t] \ -0.348643 * b.wall_temperature_waterwall[t, 2]*b.wall_temperature_waterwall[t, 5] \ -196.262 * b.wall_temperature_waterwall[t, 2]*b.ratio_PA2coal[t] \ +127.532 * b.wall_temperature_waterwall[t, 3]*b.SR[t] \ +0.125889 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_waterwall[t, 6] \ -0.214732 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_waterwall[t, 8] \ +0.810439 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_waterwall[t, 10] \ -698.238 * b.wall_temperature_waterwall[t, 4]*b.SR[t] \ +1.85785 * b.wall_temperature_waterwall[t, 4]*b.secondary_air_inlet.temperature[t] \ -0.436732 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 8] \ +0.407706 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 10] \ -4.17827 * b.wall_temperature_waterwall[t, 5]*b.flowrate_coal_raw[t] \ -703.956 * b.wall_temperature_waterwall[t, 5]*b.SR[t] \ -0.85661 * b.wall_temperature_waterwall[t, 6]*b.wall_temperature_waterwall[t, 12] \ -9.60464 * b.wall_temperature_waterwall[t, 6]*b.flowrate_coal_raw[t] \ -34.2924 * b.wall_temperature_waterwall[t, 7]*b.flowrate_coal_raw[t] \ +1107.63 * b.wall_temperature_waterwall[t, 7]*b.mf_H2O_coal_raw[t] \ +1.26848 * b.wall_temperature_waterwall[t, 8]*b.wall_temperature_waterwall[t, 11] \ -17.4004 * b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t] \ -658.546 * b.wall_temperature_waterwall[t, 9]*b.SR[t] \ -1.01075 * b.wall_temperature_waterwall[t, 10]*b.wall_temperature_waterwall[t, 12] \ -2.06046 * b.wall_temperature_waterwall[t, 11]*b.flowrate_coal_raw[t] \ +177.497 * b.wall_temperature_waterwall[t, 11]*b.ratio_PA2coal[t] \ +52.1763 * b.wall_temperature_waterwall[t, 12]*b.flowrate_coal_raw[t] \ +0.450986 * b.wall_temperature_platen[t]*b.flowrate_coal_raw[t] \ +7.72431 * b.wall_temperature_roof[t]*b.flowrate_coal_raw[t] \ +1.57739 * b.wall_temperature_roof[t]*b.secondary_air_inlet.temperature[t] \ -173.703 * b.wall_temperature_roof[t]*b.ratio_PA2coal[t] \ -718200 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ -942875 * b.flowrate_coal_raw[t]*b.SR[t] \ +175527 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ +441.476 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -10706.6 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ +1.62442e+07 * b.mf_H2O_coal_raw[t]*b.SR[t] \ -8678.04 * b.mf_H2O_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ +5.56242e+06 * b.SR[t]*b.SR_lf[t] \ +7113.57 * b.SR[t]*b.secondary_air_inlet.temperature[t] \ -9979.24 * b.SR_lf[t]*b.secondary_air_inlet.temperature[t] \ -650.626 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ +0.00138792 * (b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t])**2 \ -0.00105797 * (b.wall_temperature_waterwall[t, 12]*b.flowrate_coal_raw[t])**2 \ +33941.2 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**2 \ +2634.71 * (b.flowrate_coal_raw[t]*b.SR[t])**2)", 8: "(30738.3 * b.wall_temperature_waterwall[t, 1] \ +635.315 * b.wall_temperature_waterwall[t, 2] \ -737.628 * b.wall_temperature_waterwall[t, 3] \ +613.096 * b.wall_temperature_waterwall[t, 4] \ +1198.21 * b.wall_temperature_waterwall[t, 5] \ +28980.1 * b.wall_temperature_waterwall[t, 6] \ -86338.9 * b.wall_temperature_waterwall[t, 7] \ -16399.5 * b.wall_temperature_waterwall[t, 8] \ +1028.24 * b.wall_temperature_waterwall[t, 9] \ +288.999 * b.wall_temperature_waterwall[t, 10] \ -1919.18 * b.wall_temperature_waterwall[t, 11] \ +1183.65 * b.wall_temperature_waterwall[t, 12] \ +1613.28 * b.wall_temperature_platen[t] \ -809.056 * b.wall_temperature_roof[t] \ +1.29475e+06 * b.flowrate_coal_raw[t] \ +2.75866e+07 * b.mf_H2O_coal_raw[t] \ +6.67449e+06 * b.SR[t] \ +5.28363e+07 * b.SR_lf[t] \ -3717.86 * b.secondary_air_inlet.temperature[t] \ +385624 * b.ratio_PA2coal[t] \ -1.00557e+07 * log(b.wall_temperature_waterwall[t, 1]) \ +559241 * log(b.wall_temperature_waterwall[t, 3]) \ -1.01411e+07 * log(b.wall_temperature_waterwall[t, 6]) \ +1.14643e+07 * log(b.wall_temperature_waterwall[t, 7]) \ +9.46655e+06 * log(b.wall_temperature_waterwall[t, 8]) \ -894841 * log(b.wall_temperature_platen[t]) \ +1.54449e+06 * log(b.flowrate_coal_raw[t]) \ -122538 * log(b.mf_H2O_coal_raw[t]) \ -1.6811e+07 * log(b.SR[t]) \ -5.55471e+07 * log(b.SR_lf[t]) \ -2.83514e+06 * log(b.secondary_air_inlet.temperature[t]) \ -4.07619e+07 * exp(b.mf_H2O_coal_raw[t]) \ -10.6528 * b.wall_temperature_waterwall[t, 1]**2 \ +0.272176 * b.wall_temperature_waterwall[t, 4]**2 \ -9.34661 * b.wall_temperature_waterwall[t, 6]**2 \ +86.226 * b.wall_temperature_waterwall[t, 7]**2 \ -6869.16 * b.flowrate_coal_raw[t]**2 \ -0.0341736 * b.wall_temperature_waterwall[t, 7]**3 \ -0.908054 * b.wall_temperature_waterwall[t, 1]*b.wall_temperature_waterwall[t, 8] \ -64.9931 * b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t] \ -0.1575 * b.wall_temperature_waterwall[t, 2]*b.wall_temperature_waterwall[t, 5] \ -145.333 * b.wall_temperature_waterwall[t, 2]*b.ratio_PA2coal[t] \ +124.842 * b.wall_temperature_waterwall[t, 3]*b.SR[t] \ +0.652536 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_waterwall[t, 10] \ -697.56 * b.wall_temperature_waterwall[t, 4]*b.SR[t] \ -1290.22 * b.wall_temperature_waterwall[t, 4]*b.SR_lf[t] \ +1.54101 * b.wall_temperature_waterwall[t, 4]*b.secondary_air_inlet.temperature[t] \ -0.340243 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 8] \ +0.186733 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 10] \ +0.264209 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 12] \ -600.521 * b.wall_temperature_waterwall[t, 5]*b.SR[t] \ -1.06736 * b.wall_temperature_waterwall[t, 6]*b.wall_temperature_waterwall[t, 12] \ -8.99471 * b.wall_temperature_waterwall[t, 6]*b.flowrate_coal_raw[t] \ +2.71176 * b.wall_temperature_waterwall[t, 7]*b.flowrate_coal_raw[t] \ +0.727491 * b.wall_temperature_waterwall[t, 8]*b.wall_temperature_waterwall[t, 11] \ -50.9128 * b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t] \ -666.436 * b.wall_temperature_waterwall[t, 8]*b.SR[t] \ -0.100745 * b.wall_temperature_waterwall[t, 9]*b.wall_temperature_waterwall[t, 10] \ -530.861 * b.wall_temperature_waterwall[t, 9]*b.SR[t] \ -0.824416 * b.wall_temperature_waterwall[t, 10]*b.wall_temperature_waterwall[t, 12] \ -2.53957 * b.wall_temperature_waterwall[t, 11]*b.flowrate_coal_raw[t] \ +166.069 * b.wall_temperature_waterwall[t, 11]*b.ratio_PA2coal[t] \ +0.638522 * b.wall_temperature_platen[t]*b.flowrate_coal_raw[t] \ +6.65548 * b.wall_temperature_roof[t]*b.flowrate_coal_raw[t] \ +1.65814 * b.wall_temperature_roof[t]*b.secondary_air_inlet.temperature[t] \ -132.374 * b.wall_temperature_roof[t]*b.ratio_PA2coal[t] \ -636864 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ -703357 * b.flowrate_coal_raw[t]*b.SR[t] \ +191874 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ +531.415 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -9232.96 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ +1.59172e+07 * b.mf_H2O_coal_raw[t]*b.SR[t] \ -8594.17 * b.mf_H2O_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ +3.30615e+06 * b.SR[t]*b.SR_lf[t] \ +6573.55 * b.SR[t]*b.secondary_air_inlet.temperature[t] \ -555.335 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ +0.00118832 * (b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t])**2 \ +0.846319 * (b.wall_temperature_waterwall[t, 11]*b.SR_lf[t])**2 \ +28243.5 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**2 \ -834.918 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ -0.00281944 * (b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t])**2 \ +23.2033 * (b.flowrate_coal_raw[t]*b.SR[t])**3)", 9: "(1554.78 * b.wall_temperature_waterwall[t, 1] \ +292.513 * b.wall_temperature_waterwall[t, 2] \ -686.842 * b.wall_temperature_waterwall[t, 3] \ +504.056 * b.wall_temperature_waterwall[t, 4] \ +1072 * b.wall_temperature_waterwall[t, 5] \ +33410.5 * b.wall_temperature_waterwall[t, 6] \ +52811.6 * b.wall_temperature_waterwall[t, 7] \ +2682.22 * b.wall_temperature_waterwall[t, 8] \ +59476.3 * b.wall_temperature_waterwall[t, 9] \ +1980.99 * b.wall_temperature_waterwall[t, 10] \ -418.882 * b.wall_temperature_waterwall[t, 11] \ +979.077 * b.wall_temperature_waterwall[t, 12] \ +2613.03 * b.wall_temperature_platen[t] \ -325.642 * b.wall_temperature_roof[t] \ +1.11231e+06 * b.flowrate_coal_raw[t] \ +2.63584e+07 * b.mf_H2O_coal_raw[t] \ +5.72152e+06 * b.SR[t] \ +3.15685e+08 * b.SR_lf[t] \ -6126.97 * b.secondary_air_inlet.temperature[t] \ -349285 * b.ratio_PA2coal[t] \ +417256 * log(b.wall_temperature_waterwall[t, 1]) \ +3.53244e+06 * log(b.wall_temperature_waterwall[t, 3]) \ -360670 * log(b.wall_temperature_waterwall[t, 4]) \ +4.18922e+06 * log(b.wall_temperature_waterwall[t, 5]) \ -1.17359e+07 * log(b.wall_temperature_waterwall[t, 6]) \ -1.90854e+07 * log(b.wall_temperature_waterwall[t, 7]) \ -1.19489e+06 * log(b.wall_temperature_waterwall[t, 8]) \ -1.73885e+07 * log(b.wall_temperature_waterwall[t, 9]) \ -848457 * log(b.wall_temperature_waterwall[t, 10]) \ -1.39216e+06 * log(b.wall_temperature_platen[t]) \ +20679.5 * log(b.wall_temperature_roof[t]) \ +1.18208e+06 * log(b.flowrate_coal_raw[t]) \ -138694 * log(b.mf_H2O_coal_raw[t]) \ -3.86313e+06 * log(b.SR[t]) \ -1.78945e+08 * log(b.SR_lf[t]) \ -3.73556e+07 * exp(b.mf_H2O_coal_raw[t]) \ -11.0194 * b.wall_temperature_waterwall[t, 6]**2 \ -17.719 * b.wall_temperature_waterwall[t, 7]**2 \ -26.8571 * b.wall_temperature_waterwall[t, 9]**2 \ -3871.37 * b.flowrate_coal_raw[t]**2 \ -6.88157e+07 * b.SR_lf[t]**2 \ -24.6314 * b.flowrate_coal_raw[t]**3 \ -0.898065 * b.wall_temperature_waterwall[t, 1]*b.wall_temperature_waterwall[t, 8] \ -50.8152 * b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t] \ -1.50253 * b.wall_temperature_waterwall[t, 1]*b.secondary_air_inlet.temperature[t] \ -0.176067 * b.wall_temperature_waterwall[t, 2]*b.wall_temperature_waterwall[t, 5] \ -0.045357 * b.wall_temperature_waterwall[t, 3]*b.wall_temperature_waterwall[t, 12] \ -6290.31 * b.wall_temperature_waterwall[t, 3]*b.SR[t] \ +0.0280148 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_waterwall[t, 6] \ -0.0760966 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_platen[t] \ -543.634 * b.wall_temperature_waterwall[t, 4]*b.SR[t] \ +1.55669 * b.wall_temperature_waterwall[t, 4]*b.secondary_air_inlet.temperature[t] \ -0.462604 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 8] \ +0.552709 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 10] \ -0.187582 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 11] \ +0.311448 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 12] \ -9598.22 * b.wall_temperature_waterwall[t, 5]*b.SR[t] \ -0.893275 * b.wall_temperature_waterwall[t, 6]*b.wall_temperature_waterwall[t, 12] \ -0.0718352 * b.wall_temperature_waterwall[t, 6]*b.wall_temperature_roof[t] \ -7.00461 * b.wall_temperature_waterwall[t, 6]*b.flowrate_coal_raw[t] \ -0.347099 * b.wall_temperature_waterwall[t, 7]*b.wall_temperature_waterwall[t, 10] \ +0.986772 * b.wall_temperature_waterwall[t, 7]*b.flowrate_coal_raw[t] \ +0.874394 * b.wall_temperature_waterwall[t, 8]*b.wall_temperature_waterwall[t, 11] \ -13.7583 * b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t] \ -0.111941 * b.wall_temperature_waterwall[t, 9]*b.wall_temperature_waterwall[t, 10] \ -38.4122 * b.wall_temperature_waterwall[t, 9]*b.flowrate_coal_raw[t] \ -926.033 * b.wall_temperature_waterwall[t, 9]*b.SR[t] \ -0.719251 * b.wall_temperature_waterwall[t, 10]*b.wall_temperature_waterwall[t, 12] \ +0.311257 * b.wall_temperature_platen[t]*b.flowrate_coal_raw[t] \ +0.973601 * b.wall_temperature_roof[t]*b.secondary_air_inlet.temperature[t] \ -86.0127 * b.wall_temperature_roof[t]*b.ratio_PA2coal[t] \ -573877 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ -518729 * b.flowrate_coal_raw[t]*b.SR[t] \ +177185 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ +356.318 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -8350.35 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ +1.40375e+07 * b.mf_H2O_coal_raw[t]*b.SR[t] \ -7543.82 * b.mf_H2O_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ +6147.42 * b.SR[t]*b.secondary_air_inlet.temperature[t] \ +695872 * b.SR_lf[t]*b.ratio_PA2coal[t] \ -464.964 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ +0.000944236 * (b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t])**2 \ +1.68544 * (b.wall_temperature_waterwall[t, 3]*b.SR[t])**2 \ +2.37726 * (b.wall_temperature_waterwall[t, 5]*b.SR[t])**2 \ -2.11316e-05 * (b.wall_temperature_waterwall[t, 11]*b.flowrate_coal_raw[t])**2 \ +23969.4 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**2 \ -2523.54 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ +31.1715 * (b.flowrate_coal_raw[t]*b.SR[t])**3)", 10: "(1837.36 * b.wall_temperature_waterwall[t, 1] \ +729.997 * b.wall_temperature_waterwall[t, 2] \ -230.755 * b.wall_temperature_waterwall[t, 3] \ +862.309 * b.wall_temperature_waterwall[t, 4] \ -167.942 * b.wall_temperature_waterwall[t, 5] \ +2060.72 * b.wall_temperature_waterwall[t, 6] \ +47434.8 * b.wall_temperature_waterwall[t, 7] \ +2552 * b.wall_temperature_waterwall[t, 8] \ +2565.36 * b.wall_temperature_waterwall[t, 9] \ +12188 * b.wall_temperature_waterwall[t, 10] \ -383.468 * b.wall_temperature_waterwall[t, 11] \ -125.387 * b.wall_temperature_waterwall[t, 12] \ +5141.33 * b.wall_temperature_platen[t] \ -312.616 * b.wall_temperature_roof[t] \ +1.17132e+06 * b.flowrate_coal_raw[t] \ +4.60141e+07 * b.mf_H2O_coal_raw[t] \ +2.69988e+06 * b.SR[t] \ +2.93429e+08 * b.SR_lf[t] \ -7395.61 * b.secondary_air_inlet.temperature[t] \ +367885 * b.ratio_PA2coal[t] \ -112755 * log(b.wall_temperature_waterwall[t, 1]) \ -816926 * log(b.wall_temperature_waterwall[t, 4]) \ -627025 * log(b.wall_temperature_waterwall[t, 6]) \ -1.72497e+07 * log(b.wall_temperature_waterwall[t, 7]) \ -1.30207e+06 * log(b.wall_temperature_waterwall[t, 8]) \ -833056 * log(b.wall_temperature_waterwall[t, 9]) \ -2.73476e+06 * log(b.wall_temperature_platen[t]) \ +790545 * log(b.flowrate_coal_raw[t]) \ -289014 * log(b.mf_H2O_coal_raw[t]) \ -8.88643e+06 * log(b.SR[t]) \ -1.68062e+08 * log(b.SR_lf[t]) \ -5.5004e+07 * exp(b.mf_H2O_coal_raw[t]) \ -4.59464e+07 * exp(b.SR_lf[t]) \ -15.9244 * b.wall_temperature_waterwall[t, 7]**2 \ -12.4671 * b.wall_temperature_waterwall[t, 10]**2 \ -0.0548467 * b.wall_temperature_platen[t]**2 \ -3084.74 * b.flowrate_coal_raw[t]**2 \ -20.7712 * b.flowrate_coal_raw[t]**3 \ -3.52178 * b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t] \ -2.37475 * b.wall_temperature_waterwall[t, 1]*b.secondary_air_inlet.temperature[t] \ -0.208333 * b.wall_temperature_waterwall[t, 2]*b.wall_temperature_waterwall[t, 5] \ -171.455 * b.wall_temperature_waterwall[t, 2]*b.ratio_PA2coal[t] \ +306.026 * b.wall_temperature_waterwall[t, 3]*b.SR[t] \ -0.15677 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_waterwall[t, 6] \ +1.33655 * b.wall_temperature_waterwall[t, 4]*b.secondary_air_inlet.temperature[t] \ +0.485426 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 10] \ +0.374308 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 12] \ -0.828451 * b.wall_temperature_waterwall[t, 6]*b.wall_temperature_waterwall[t, 12] \ -0.180578 * b.wall_temperature_waterwall[t, 6]*b.wall_temperature_roof[t] \ -13.9066 * b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t] \ -671.924 * b.wall_temperature_waterwall[t, 9]*b.SR[t] \ +0.538709 * b.wall_temperature_waterwall[t, 10]*b.wall_temperature_waterwall[t, 11] \ -56.0447 * b.wall_temperature_waterwall[t, 10]*b.flowrate_coal_raw[t] \ -712.621 * b.wall_temperature_waterwall[t, 10]*b.SR[t] \ +44.9712 * b.wall_temperature_waterwall[t, 12]*b.flowrate_coal_raw[t] \ +75.2145 * b.wall_temperature_waterwall[t, 12]*b.ratio_PA2coal[t] \ -5.25712 * b.wall_temperature_platen[t]*b.flowrate_coal_raw[t] \ +0.836281 * b.wall_temperature_roof[t]*b.secondary_air_inlet.temperature[t] \ -693841 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ -489211 * b.flowrate_coal_raw[t]*b.SR[t] \ +199410 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ +409.786 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -9506.34 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ +1.57634e+07 * b.mf_H2O_coal_raw[t]*b.SR[t] \ -9269.71 * b.mf_H2O_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ +7874.35 * b.SR[t]*b.secondary_air_inlet.temperature[t] \ -575.815 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ +0.019545 * (b.wall_temperature_waterwall[t, 11]*b.ratio_PA2coal[t])**2 \ -0.000956923 * (b.wall_temperature_waterwall[t, 12]*b.flowrate_coal_raw[t])**2 \ +26897.5 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**2 \ -3926.81 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ -6.04217e-05 * (b.wall_temperature_waterwall[t, 4]*b.SR[t])**3 \ +39.5236 * (b.flowrate_coal_raw[t]*b.SR[t])**3)", 11: "(265.482 * b.wall_temperature_waterwall[t, 1] \ +24.2531 * b.wall_temperature_waterwall[t, 2] \ -632.925 * b.wall_temperature_waterwall[t, 3] \ +114.247 * b.wall_temperature_waterwall[t, 4] \ +28.3431 * b.wall_temperature_waterwall[t, 5] \ +445.719 * b.wall_temperature_waterwall[t, 6] \ +1363.91 * b.wall_temperature_waterwall[t, 7] \ +595.684 * b.wall_temperature_waterwall[t, 8] \ +1378.1 * b.wall_temperature_waterwall[t, 9] \ +1082.57 * b.wall_temperature_waterwall[t, 10] \ +29176.4 * b.wall_temperature_waterwall[t, 11] \ +385.741 * b.wall_temperature_waterwall[t, 12] \ -9989.8 * b.wall_temperature_platen[t] \ -387.904 * b.wall_temperature_roof[t] \ +459422 * b.flowrate_coal_raw[t] \ -8.16755e+06 * b.mf_H2O_coal_raw[t] \ -2.7349e+06 * b.SR[t] \ +2.68906e+07 * b.SR_lf[t] \ -3539.12 * b.secondary_air_inlet.temperature[t] \ +341694 * b.ratio_PA2coal[t] \ +143448 * log(b.wall_temperature_waterwall[t, 1]) \ +137163 * log(b.wall_temperature_waterwall[t, 3]) \ -174890 * log(b.wall_temperature_waterwall[t, 4]) \ -283768 * log(b.wall_temperature_waterwall[t, 6]) \ -313430 * log(b.wall_temperature_waterwall[t, 7]) \ -421769 * log(b.wall_temperature_waterwall[t, 8]) \ -498950 * log(b.wall_temperature_waterwall[t, 9]) \ -628469 * log(b.wall_temperature_waterwall[t, 10]) \ -4.79246e+06 * log(b.wall_temperature_waterwall[t, 11]) \ +2.7541e+06 * log(b.wall_temperature_platen[t]) \ -30902.5 * log(b.flowrate_coal_raw[t]) \ +423000 * log(b.SR[t]) \ -2.62773e+07 * log(b.SR_lf[t]) \ -856849 * log(b.secondary_air_inlet.temperature[t]) \ -976839 * exp(b.SR_lf[t]) \ -18.8883 * b.wall_temperature_waterwall[t, 11]**2 \ -397.68 * b.flowrate_coal_raw[t]**2 \ +0.00509064 * b.wall_temperature_platen[t]**3 \ +0.000109843 * b.wall_temperature_roof[t]**3 \ -13.0398 * b.flowrate_coal_raw[t]**3 \ -7.10244e+06 * b.mf_H2O_coal_raw[t]**3 \ -0.475103 * b.wall_temperature_waterwall[t, 1]*b.wall_temperature_waterwall[t, 12] \ -1.28357 * b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t] \ +86.2882 * b.wall_temperature_waterwall[t, 1]*b.SR[t] \ +446.141 * b.wall_temperature_waterwall[t, 1]*b.SR_lf[t] \ -0.996705 * b.wall_temperature_waterwall[t, 1]*b.secondary_air_inlet.temperature[t] \ +0.0280906 * b.wall_temperature_waterwall[t, 2]*b.wall_temperature_waterwall[t, 5] \ +0.232787 * b.wall_temperature_waterwall[t, 2]*b.secondary_air_inlet.temperature[t] \ -48.0401 * b.wall_temperature_waterwall[t, 2]*b.ratio_PA2coal[t] \ +162.375 * b.wall_temperature_waterwall[t, 3]*b.SR[t] \ +297.717 * b.wall_temperature_waterwall[t, 3]*b.SR_lf[t] \ +0.232195 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_roof[t] \ +2.02509 * b.wall_temperature_waterwall[t, 4]*b.flowrate_coal_raw[t] \ +0.0771506 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 12] \ -2.17805 * b.wall_temperature_waterwall[t, 6]*b.flowrate_coal_raw[t] \ +2186.86 * b.wall_temperature_waterwall[t, 6]*b.mf_H2O_coal_raw[t] \ -2.97757 * b.wall_temperature_waterwall[t, 6]*b.ratio_PA2coal[t] \ -0.0238492 * b.wall_temperature_waterwall[t, 7]*b.wall_temperature_waterwall[t, 11] \ +226.047 * b.wall_temperature_waterwall[t, 7]*b.SR[t] \ -1085.84 * b.wall_temperature_waterwall[t, 7]*b.SR_lf[t] \ +0.236826 * b.wall_temperature_waterwall[t, 8]*b.wall_temperature_waterwall[t, 10] \ -2.73927 * b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t] \ +539.145 * b.wall_temperature_waterwall[t, 8]*b.mf_H2O_coal_raw[t] \ -0.104024 * b.wall_temperature_waterwall[t, 9]*b.wall_temperature_roof[t] \ -291.787 * b.wall_temperature_waterwall[t, 9]*b.SR[t] \ +13.4721 * b.wall_temperature_waterwall[t, 10]*b.flowrate_coal_raw[t] \ -124.929 * b.wall_temperature_waterwall[t, 10]*b.SR[t] \ -15.757 * b.wall_temperature_waterwall[t, 11]*b.flowrate_coal_raw[t] \ -4817.97 * b.wall_temperature_waterwall[t, 11]*b.SR[t] \ +1892.85 * b.wall_temperature_waterwall[t, 11]*b.SR_lf[t] \ +1.63258 * b.wall_temperature_platen[t]*b.flowrate_coal_raw[t] \ +2676.98 * b.wall_temperature_platen[t]*b.SR[t] \ +0.49742 * b.wall_temperature_platen[t]*b.secondary_air_inlet.temperature[t] \ -72.8604 * b.wall_temperature_platen[t]*b.ratio_PA2coal[t] \ +0.430275 * b.wall_temperature_roof[t]*b.secondary_air_inlet.temperature[t] \ -310586 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ -142967 * b.flowrate_coal_raw[t]*b.SR[t] \ +88449.6 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ +217.961 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -7117.74 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ +6.1753e+06 * b.mf_H2O_coal_raw[t]*b.SR[t] \ -3411.28 * b.mf_H2O_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -106414 * b.mf_H2O_coal_raw[t]*b.ratio_PA2coal[t] \ +845856 * b.SR[t]*b.SR_lf[t] \ +4202.28 * b.SR[t]*b.secondary_air_inlet.temperature[t] \ -340.792 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ -5.1335e-05 * (b.wall_temperature_waterwall[t, 9]*b.flowrate_coal_raw[t])**2 \ -0.000310581 * (b.wall_temperature_waterwall[t, 10]*b.flowrate_coal_raw[t])**2 \ +1.18396 * (b.wall_temperature_waterwall[t, 11]*b.SR[t])**2 \ -0.716778 * (b.wall_temperature_platen[t]*b.SR[t])**2 \ +11739 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**2 \ -2422.02 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ -0.000797508 * (b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t])**2 \ +16.1006 * (b.flowrate_coal_raw[t]*b.ratio_PA2coal[t])**2 \ -0.0417793 * (b.wall_temperature_waterwall[t, 6]*b.mf_H2O_coal_raw[t])**3 \ +19.1183 * (b.flowrate_coal_raw[t]*b.SR[t])**3)", 12: "(220.386 * b.wall_temperature_waterwall[t, 1] \ +67.4508 * b.wall_temperature_waterwall[t, 2] \ -53.5201 * b.wall_temperature_waterwall[t, 3] \ +168.186 * b.wall_temperature_waterwall[t, 4] \ +164.298 * b.wall_temperature_waterwall[t, 5] \ +274.74 * b.wall_temperature_waterwall[t, 6] \ +159.494 * b.wall_temperature_waterwall[t, 7] \ +274.631 * b.wall_temperature_waterwall[t, 8] \ +589.546 * b.wall_temperature_waterwall[t, 9] \ +692.692 * b.wall_temperature_waterwall[t, 10] \ -125.502 * b.wall_temperature_waterwall[t, 11] \ +43494.6 * b.wall_temperature_waterwall[t, 12] \ -33880.3 * b.wall_temperature_platen[t] \ -9863.55 * b.wall_temperature_roof[t] \ +241200 * b.flowrate_coal_raw[t] \ +2.77276e+07 * b.mf_H2O_coal_raw[t] \ -2.88054e+06 * b.SR[t] \ +1.06869e+07 * b.SR_lf[t] \ -14610.7 * b.secondary_air_inlet.temperature[t] \ +172036 * b.ratio_PA2coal[t] \ +47797.2 * log(b.wall_temperature_waterwall[t, 1]) \ -11594.2 * log(b.wall_temperature_waterwall[t, 3]) \ -125501 * log(b.wall_temperature_waterwall[t, 4]) \ -144576 * log(b.wall_temperature_waterwall[t, 6]) \ -198449 * log(b.wall_temperature_waterwall[t, 7]) \ -221594 * log(b.wall_temperature_waterwall[t, 8]) \ -199032 * log(b.wall_temperature_waterwall[t, 9]) \ -258237 * log(b.wall_temperature_waterwall[t, 10]) \ -387498 * log(b.wall_temperature_waterwall[t, 11]) \ -1.13543e+07 * log(b.wall_temperature_waterwall[t, 12]) \ +8.627e+06 * log(b.wall_temperature_platen[t]) \ +3.05064e+06 * log(b.wall_temperature_roof[t]) \ -246256 * log(b.flowrate_coal_raw[t]) \ -79998 * log(b.mf_H2O_coal_raw[t]) \ +2.16333e+06 * log(b.SR[t]) \ -1.1065e+07 * log(b.SR_lf[t]) \ +4.91018e+06 * log(b.secondary_air_inlet.temperature[t]) \ -2.68698e+07 * exp(b.mf_H2O_coal_raw[t]) \ -23.3046 * b.wall_temperature_waterwall[t, 12]**2 \ +16.9006 * b.wall_temperature_platen[t]**2 \ +4.26692 * b.wall_temperature_roof[t]**2 \ +1231.98 * b.flowrate_coal_raw[t]**2 \ +4.60765 * b.secondary_air_inlet.temperature[t]**2 \ -20.1062 * b.flowrate_coal_raw[t]**3 \ -0.0208005 * b.wall_temperature_waterwall[t, 1]*b.wall_temperature_platen[t] \ +0.211335 * b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t] \ +142.559 * b.wall_temperature_waterwall[t, 1]*b.SR[t] \ -0.708488 * b.wall_temperature_waterwall[t, 1]*b.secondary_air_inlet.temperature[t] \ +0.104243 * b.wall_temperature_waterwall[t, 2]*b.wall_temperature_waterwall[t, 5] \ -43.2466 * b.wall_temperature_waterwall[t, 2]*b.ratio_PA2coal[t] \ +84.0522 * b.wall_temperature_waterwall[t, 3]*b.SR[t] \ -0.097681 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_waterwall[t, 6] \ +0.168211 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_roof[t] \ +0.0311415 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_platen[t] \ -201.961 * b.wall_temperature_waterwall[t, 5]*b.SR_lf[t] \ +0.0979395 * b.wall_temperature_waterwall[t, 6]*b.wall_temperature_platen[t] \ +152.533 * b.wall_temperature_waterwall[t, 7]*b.SR[t] \ +0.138216 * b.wall_temperature_waterwall[t, 8]*b.wall_temperature_waterwall[t, 12] \ +358.824 * b.wall_temperature_waterwall[t, 8]*b.mf_H2O_coal_raw[t] \ -1.73455 * b.wall_temperature_waterwall[t, 9]*b.flowrate_coal_raw[t] \ -132.667 * b.wall_temperature_waterwall[t, 9]*b.SR[t] \ -0.128919 * b.wall_temperature_waterwall[t, 10]*b.wall_temperature_roof[t] \ -1.61439 * b.wall_temperature_waterwall[t, 10]*b.flowrate_coal_raw[t] \ -51.0787 * b.wall_temperature_waterwall[t, 10]*b.SR[t] \ +0.415955 * b.wall_temperature_waterwall[t, 11]*b.flowrate_coal_raw[t] \ -109.65 * b.wall_temperature_waterwall[t, 11]*b.SR[t] \ +976.739 * b.wall_temperature_waterwall[t, 11]*b.SR_lf[t] \ -3.17061 * b.wall_temperature_waterwall[t, 12]*b.flowrate_coal_raw[t] \ -220.696 * b.wall_temperature_waterwall[t, 12]*b.SR[t] \ +31.6233 * b.wall_temperature_waterwall[t, 12]*b.ratio_PA2coal[t] \ +3.78535 * b.wall_temperature_platen[t]*b.flowrate_coal_raw[t] \ +2053.18 * b.wall_temperature_platen[t]*b.SR[t] \ +0.387234 * b.wall_temperature_platen[t]*b.secondary_air_inlet.temperature[t] \ -46.3757 * b.wall_temperature_platen[t]*b.ratio_PA2coal[t] \ +0.097768 * b.wall_temperature_roof[t]*b.secondary_air_inlet.temperature[t] \ +2.52659 * b.wall_temperature_roof[t]*b.ratio_PA2coal[t] \ -249015 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ -15466 * b.flowrate_coal_raw[t]*b.SR[t] \ +58532.1 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ +121.404 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -3138.31 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ +2.05815e+06 * b.mf_H2O_coal_raw[t]*b.SR[t] \ -164857 * b.mf_H2O_coal_raw[t]*b.SR_lf[t] \ -2532.86 * b.mf_H2O_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -861.46 * b.SR[t]*b.secondary_air_inlet.temperature[t] \ -209.784 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ +0.00576341 * (b.wall_temperature_waterwall[t, 11]*b.ratio_PA2coal[t])**2 \ -0.000253398 * (b.wall_temperature_waterwall[t, 12]*b.flowrate_coal_raw[t])**2 \ -0.592335 * (b.wall_temperature_platen[t]*b.SR[t])**2 \ +9328.86 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**2 \ -2333.23 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ +3.15989e+06 * (b.mf_H2O_coal_raw[t]*b.SR[t])**2 \ +1.25506 * (b.SR[t]*b.secondary_air_inlet.temperature[t])**2 \ -0.000219682 * (b.wall_temperature_waterwall[t, 12]*b.SR_lf[t])**3 \ +14.8923 * (b.flowrate_coal_raw[t]*b.SR[t])**3)", "pl": "(411941 * b.wall_temperature_waterwall[t, 1] \ +2599.73 * b.wall_temperature_waterwall[t, 2] \ -946.452 * b.wall_temperature_waterwall[t, 3] \ +3366.98 * b.wall_temperature_waterwall[t, 4] \ +208.286 * b.wall_temperature_waterwall[t, 5] \ +9022.67 * b.wall_temperature_waterwall[t, 6] \ +1152.84 * b.wall_temperature_waterwall[t, 7] \ +5576.24 * b.wall_temperature_waterwall[t, 8] \ +9303.39 * b.wall_temperature_waterwall[t, 9] \ +8901.32 * b.wall_temperature_waterwall[t, 10] \ +2840.75 * b.wall_temperature_waterwall[t, 11] \ -110147 * b.wall_temperature_waterwall[t, 12] \ +259512 * b.wall_temperature_platen[t] \ -54879.5 * b.wall_temperature_roof[t] \ +4.15488e+06 * b.flowrate_coal_raw[t] \ -3.15854e+07 * b.mf_H2O_coal_raw[t] \ -2.10085e+07 * b.SR[t] \ +1.70259e+08 * b.SR_lf[t] \ -34982.2 * b.secondary_air_inlet.temperature[t] \ +1.74171e+06 * b.ratio_PA2coal[t] \ -1.05527e+08 * log(b.wall_temperature_waterwall[t, 1]) \ -9.8091e+06 * log(b.wall_temperature_waterwall[t, 4]) \ -2.12136e+06 * log(b.wall_temperature_waterwall[t, 6]) \ -1.71391e+06 * log(b.wall_temperature_waterwall[t, 7]) \ -2.30845e+06 * log(b.wall_temperature_waterwall[t, 8]) \ -2.87745e+06 * log(b.wall_temperature_waterwall[t, 9]) \ -4.14628e+06 * log(b.wall_temperature_waterwall[t, 10]) \ +2.58819e+06 * log(b.wall_temperature_waterwall[t, 11]) \ +3.70654e+07 * log(b.wall_temperature_waterwall[t, 12]) \ +1.33648e+07 * log(b.wall_temperature_platen[t]) \ +1.645e+07 * log(b.wall_temperature_roof[t]) \ -2.78402e+06 * log(b.flowrate_coal_raw[t]) \ +1.22061e+08 * log(b.SR[t]) \ -1.80973e+08 * log(b.SR_lf[t]) \ +2.24892e+07 * log(b.secondary_air_inlet.temperature[t]) \ -256.702 * b.wall_temperature_waterwall[t, 1]**2 \ +44.0874 * b.wall_temperature_waterwall[t, 12]**2 \ -127.481 * b.wall_temperature_platen[t]**2 \ +22.8917 * b.wall_temperature_roof[t]**2 \ -1180.45 * b.flowrate_coal_raw[t]**2 \ +0.0704504 * b.wall_temperature_waterwall[t, 1]**3 \ -95.2406 * b.flowrate_coal_raw[t]**3 \ -3.57179e+08 * b.mf_H2O_coal_raw[t]**3 \ -1.32576 * b.wall_temperature_waterwall[t, 1]*b.wall_temperature_waterwall[t, 8] \ +0.503933 * b.wall_temperature_waterwall[t, 1]*b.wall_temperature_waterwall[t, 10] \ -2.70951 * b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t] \ -6.71086 * b.wall_temperature_waterwall[t, 1]*b.secondary_air_inlet.temperature[t] \ -2.22919 * b.wall_temperature_waterwall[t, 2]*b.wall_temperature_waterwall[t, 4] \ +0.766666 * b.wall_temperature_waterwall[t, 2]*b.wall_temperature_waterwall[t, 5] \ -441.236 * b.wall_temperature_waterwall[t, 2]*b.ratio_PA2coal[t] \ +1018.32 * b.wall_temperature_waterwall[t, 3]*b.SR[t] \ +0.631224 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_platen[t] \ +1.77501 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_roof[t] \ +12571.3 * b.wall_temperature_waterwall[t, 4]*b.SR[t] \ +0.0318959 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 12] \ -2.82968 * b.wall_temperature_waterwall[t, 6]*b.wall_temperature_waterwall[t, 12] \ -5.14737 * b.wall_temperature_waterwall[t, 6]*b.secondary_air_inlet.temperature[t] \ +10.3483 * b.wall_temperature_waterwall[t, 7]*b.flowrate_coal_raw[t] \ +1588.54 * b.wall_temperature_waterwall[t, 7]*b.SR[t] \ -24.8692 * b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t] \ +4266.37 * b.wall_temperature_waterwall[t, 8]*b.mf_H2O_coal_raw[t] \ -1.72834 * b.wall_temperature_waterwall[t, 9]*b.wall_temperature_roof[t] \ -20.1069 * b.wall_temperature_waterwall[t, 9]*b.flowrate_coal_raw[t] \ -1743.83 * b.wall_temperature_waterwall[t, 9]*b.SR[t] \ +72.025 * b.wall_temperature_waterwall[t, 9]*b.ratio_PA2coal[t] \ -21.9304 * b.wall_temperature_waterwall[t, 10]*b.flowrate_coal_raw[t] \ -604.996 * b.wall_temperature_waterwall[t, 10]*b.SR[t] \ -0.803033 * b.wall_temperature_waterwall[t, 11]*b.flowrate_coal_raw[t] \ -25055.4 * b.wall_temperature_waterwall[t, 11]*b.SR[t] \ +15039.3 * b.wall_temperature_waterwall[t, 11]*b.SR_lf[t] \ -6.70118 * b.wall_temperature_waterwall[t, 12]*b.flowrate_coal_raw[t] \ +259.828 * b.wall_temperature_waterwall[t, 12]*b.ratio_PA2coal[t] \ -882.85 * b.wall_temperature_platen[t]*b.flowrate_coal_raw[t] \ +13754.4 * b.wall_temperature_platen[t]*b.mf_H2O_coal_raw[t] \ -264793 * b.wall_temperature_platen[t]*b.SR[t] \ +4.22028 * b.wall_temperature_platen[t]*b.secondary_air_inlet.temperature[t] \ -466.574 * b.wall_temperature_platen[t]*b.ratio_PA2coal[t] \ +1.01125 * b.wall_temperature_roof[t]*b.flowrate_coal_raw[t] \ +4891.17 * b.wall_temperature_roof[t]*b.mf_H2O_coal_raw[t] \ +2.58075 * b.wall_temperature_roof[t]*b.secondary_air_inlet.temperature[t] \ -2.74627e+06 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ -600924 * b.flowrate_coal_raw[t]*b.SR[t] \ +688577 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ +1399.54 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -32498.3 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ +1.81724e+07 * b.mf_H2O_coal_raw[t]*b.SR[t] \ -25011.8 * b.mf_H2O_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -26275 * b.SR[t]*b.secondary_air_inlet.temperature[t] \ -2285.29 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ +6.03477 * (b.wall_temperature_waterwall[t, 11]*b.SR[t])**2 \ +0.0812934 * (b.wall_temperature_waterwall[t, 11]*b.ratio_PA2coal[t])**2 \ +0.00133992 * (b.wall_temperature_platen[t]*b.flowrate_coal_raw[t])**2 \ +131.081 * (b.wall_temperature_platen[t]*b.SR[t])**2 \ +74778.6 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**2 \ -18994.8 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ +3.50946e+07 * (b.mf_H2O_coal_raw[t]*b.SR[t])**2 \ +19.4424 * (b.SR[t]*b.secondary_air_inlet.temperature[t])**2 \ -0.0016092 * (b.wall_temperature_waterwall[t, 4]*b.SR[t])**3 \ -0.0295869 * (b.wall_temperature_platen[t]*b.SR[t])**3 \ +127.257 * (b.flowrate_coal_raw[t]*b.SR[t])**3)", "roof": "(279.354 * b.wall_temperature_waterwall[t, 1] \ +142.292 * b.wall_temperature_waterwall[t, 2] \ -82.9421 * b.wall_temperature_waterwall[t, 3] \ +273.335 * b.wall_temperature_waterwall[t, 4] \ +892.852 * b.wall_temperature_waterwall[t, 5] \ +348.631 * b.wall_temperature_waterwall[t, 6] \ +1436.58 * b.wall_temperature_waterwall[t, 7] \ +905.29 * b.wall_temperature_waterwall[t, 8] \ +979.254 * b.wall_temperature_waterwall[t, 9] \ +1221.17 * b.wall_temperature_waterwall[t, 10] \ -688.783 * b.wall_temperature_waterwall[t, 11] \ +2284.85 * b.wall_temperature_waterwall[t, 12] \ -40634 * b.wall_temperature_platen[t] \ +34289.7 * b.wall_temperature_roof[t] \ +358502 * b.flowrate_coal_raw[t] \ +4.78726e+07 * b.mf_H2O_coal_raw[t] \ +4.59178e+07 * b.SR[t] \ +2.01021e+07 * b.SR_lf[t] \ -14947.3 * b.secondary_air_inlet.temperature[t] \ +317109 * b.ratio_PA2coal[t] \ +100628 * log(b.wall_temperature_waterwall[t, 1]) \ -259749 * log(b.wall_temperature_waterwall[t, 4]) \ -246590 * log(b.wall_temperature_waterwall[t, 6]) \ -442193 * log(b.wall_temperature_waterwall[t, 7]) \ -431568 * log(b.wall_temperature_waterwall[t, 8]) \ -441819 * log(b.wall_temperature_waterwall[t, 9]) \ -668967 * log(b.wall_temperature_waterwall[t, 10]) \ +1.31422e+06 * log(b.wall_temperature_waterwall[t, 11]) \ -1.2249e+06 * log(b.wall_temperature_waterwall[t, 12]) \ +1.01753e+07 * log(b.wall_temperature_platen[t]) \ -7.76406e+06 * log(b.wall_temperature_roof[t]) \ -168868 * log(b.flowrate_coal_raw[t]) \ -155788 * log(b.mf_H2O_coal_raw[t]) \ +3.56858e+06 * log(b.SR[t]) \ +1.09389e+07 * log(b.SR_lf[t]) \ +5.70227e+06 * log(b.secondary_air_inlet.temperature[t]) \ -4.72384e+07 * exp(b.mf_H2O_coal_raw[t]) \ +20.1487 * b.wall_temperature_platen[t]**2 \ -20.9093 * b.wall_temperature_roof[t]**2 \ +2180.83 * b.flowrate_coal_raw[t]**2 \ -9.65879e+06 * b.SR[t]**2 \ +4.36136 * b.secondary_air_inlet.temperature[t]**2 \ -33.3553 * b.flowrate_coal_raw[t]**3 \ -0.290778 * b.wall_temperature_waterwall[t, 1]*b.flowrate_coal_raw[t] \ +221.494 * b.wall_temperature_waterwall[t, 1]*b.SR[t] \ -1.07102 * b.wall_temperature_waterwall[t, 1]*b.secondary_air_inlet.temperature[t] \ +0.0884997 * b.wall_temperature_waterwall[t, 2]*b.wall_temperature_waterwall[t, 5] \ -56.5688 * b.wall_temperature_waterwall[t, 2]*b.ratio_PA2coal[t] \ +112.139 * b.wall_temperature_waterwall[t, 3]*b.SR[t] \ +0.228812 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_roof[t] \ -0.233352 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 8] \ -689.204 * b.wall_temperature_waterwall[t, 5]*b.SR_lf[t] \ +0.183533 * b.wall_temperature_waterwall[t, 6]*b.wall_temperature_platen[t] \ +2.40284 * b.wall_temperature_waterwall[t, 7]*b.flowrate_coal_raw[t] \ +324.697 * b.wall_temperature_waterwall[t, 7]*b.SR[t] \ -1168.41 * b.wall_temperature_waterwall[t, 7]*b.SR_lf[t] \ +492.766 * b.wall_temperature_waterwall[t, 8]*b.mf_H2O_coal_raw[t] \ -2.8134 * b.wall_temperature_waterwall[t, 9]*b.flowrate_coal_raw[t] \ +0.256616 * b.wall_temperature_waterwall[t, 10]*b.wall_temperature_waterwall[t, 11] \ -0.25843 * b.wall_temperature_waterwall[t, 10]*b.wall_temperature_roof[t] \ +19.2408 * b.wall_temperature_waterwall[t, 10]*b.flowrate_coal_raw[t] \ -138.355 * b.wall_temperature_waterwall[t, 10]*b.SR[t] \ -4483.2 * b.wall_temperature_waterwall[t, 11]*b.SR[t] \ +1985.73 * b.wall_temperature_waterwall[t, 11]*b.SR_lf[t] \ -3.09845 * b.wall_temperature_waterwall[t, 12]*b.flowrate_coal_raw[t] \ +60.349 * b.wall_temperature_waterwall[t, 12]*b.ratio_PA2coal[t] \ +3.7545 * b.wall_temperature_platen[t]*b.flowrate_coal_raw[t] \ +3376.5 * b.wall_temperature_platen[t]*b.SR[t] \ -81.1028 * b.wall_temperature_platen[t]*b.ratio_PA2coal[t] \ -10.9151 * b.wall_temperature_roof[t]*b.flowrate_coal_raw[t] \ +638.803 * b.wall_temperature_roof[t]*b.mf_H2O_coal_raw[t] \ +0.212785 * b.wall_temperature_roof[t]*b.secondary_air_inlet.temperature[t] \ -388386 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ -55185.6 * b.flowrate_coal_raw[t]*b.SR[t] \ +84891 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ +226.151 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -8510.32 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ +3.64716e+06 * b.mf_H2O_coal_raw[t]*b.SR[t] \ -4313.24 * b.mf_H2O_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ -4.91759e+07 * b.SR[t]*b.SR_lf[t] \ -2591.82 * b.SR[t]*b.secondary_air_inlet.temperature[t] \ -343.32 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ -0.0526747 * (b.wall_temperature_waterwall[t, 9]*b.SR[t])**2 \ -0.000385934 * (b.wall_temperature_waterwall[t, 10]*b.flowrate_coal_raw[t])**2 \ +1.16051 * (b.wall_temperature_waterwall[t, 11]*b.SR[t])**2 \ -0.947626 * (b.wall_temperature_platen[t]*b.SR[t])**2 \ +13089.9 * (b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t])**2 \ -3406.54 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ -0.000648143 * (b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t])**2 \ +20.2802 * (b.flowrate_coal_raw[t]*b.ratio_PA2coal[t])**2 \ +5.86754e+06 * (b.mf_H2O_coal_raw[t]*b.SR[t])**2 \ +9.71079e+06 * (b.SR[t]*b.SR_lf[t])**2 \ +2.31621 * (b.SR[t]*b.secondary_air_inlet.temperature[t])**2 \ +22.1927 * (b.flowrate_coal_raw[t]*b.SR[t])**3)", "flyash": "(exp(7.78102e-05 * b.wall_temperature_waterwall[t, 1] \ -7.54006e-05 * b.wall_temperature_waterwall[t, 2] \ -3.89992e-05 * b.wall_temperature_waterwall[t, 3] \ +0.000219719 * b.wall_temperature_waterwall[t, 4] \ -3.75494e-05 * b.wall_temperature_waterwall[t, 5] \ -0.000963424 * b.wall_temperature_waterwall[t, 6] \ -4.89079e-05 * b.wall_temperature_waterwall[t, 7] \ +0.000204467 * b.wall_temperature_waterwall[t, 8] \ -0.000143756 * b.wall_temperature_waterwall[t, 10] \ -0.000389332 * b.wall_temperature_waterwall[t, 11] \ -0.000338076 * b.wall_temperature_platen[t] \ +0.241386 * b.flowrate_coal_raw[t] \ +2.67141 * b.mf_H2O_coal_raw[t] \ +910.531 * b.SR[t] \ +115.082 * b.SR_lf[t] \ +0.00275081 * b.secondary_air_inlet.temperature[t] \ -0.10997 * b.ratio_PA2coal[t] \ -2.10237 * log(b.flowrate_coal_raw[t]) \ -535.077 * log(b.SR[t]) \ -36.5477 * log(b.SR_lf[t]) \ +90.074 * exp(b.SR[t]) \ -667.684 * exp(b.SR_lf[t]) \ -4.24234e-08 * b.wall_temperature_roof[t]**2 \ -0.00369243 * b.flowrate_coal_raw[t]**2 \ -317.41 * b.SR[t]**2 \ +865.673 * b.SR_lf[t]**2 \ +9.64582e-06 * b.flowrate_coal_raw[t]**3 \ -1.69795e-07 * b.wall_temperature_waterwall[t, 1]*b.wall_temperature_waterwall[t, 9] \ -2.65157e-07 * b.wall_temperature_waterwall[t, 2]*b.wall_temperature_waterwall[t, 5] \ +0.000163992 * b.wall_temperature_waterwall[t, 2]*b.SR[t] \ -2.36504e-07 * b.wall_temperature_waterwall[t, 4]*b.wall_temperature_waterwall[t, 8] \ +5.23042e-06 * b.wall_temperature_waterwall[t, 4]*b.flowrate_coal_raw[t] \ -0.000165057 * b.wall_temperature_waterwall[t, 4]*b.SR[t] \ +5.85872e-08 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_waterwall[t, 11] \ +4.41736e-06 * b.wall_temperature_waterwall[t, 5]*b.flowrate_coal_raw[t] \ +4.67193e-07 * b.wall_temperature_waterwall[t, 6]*b.wall_temperature_waterwall[t, 11] \ +7.09971e-06 * b.wall_temperature_waterwall[t, 6]*b.flowrate_coal_raw[t] \ +6.36398e-07 * b.wall_temperature_waterwall[t, 6]*b.secondary_air_inlet.temperature[t] \ -2.41267e-07 * b.wall_temperature_waterwall[t, 7]*b.wall_temperature_waterwall[t, 8] \ +6.65347e-06 * b.wall_temperature_waterwall[t, 7]*b.flowrate_coal_raw[t] \ +3.4501e-06 * b.wall_temperature_waterwall[t, 8]*b.flowrate_coal_raw[t] \ +2.60247e-06 * b.wall_temperature_waterwall[t, 9]*b.flowrate_coal_raw[t] \ +4.71651e-06 * b.wall_temperature_waterwall[t, 10]*b.flowrate_coal_raw[t] \ +1.7254e-05 * b.wall_temperature_platen[t]*b.flowrate_coal_raw[t] \ +2.48343e-06 * b.wall_temperature_roof[t]*b.flowrate_coal_raw[t] \ -0.0571714 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ +0.0921271 * b.flowrate_coal_raw[t]*b.SR[t] \ -0.233398 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ -6.86695e-05 * b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t] \ +0.000995532 * b.flowrate_coal_raw[t]*b.ratio_PA2coal[t] \ -0.58226 * b.mf_H2O_coal_raw[t]*b.SR[t] \ -0.00447073 * b.SR[t]*b.secondary_air_inlet.temperature[t] \ +0.000246125 * b.secondary_air_inlet.temperature[t]*b.ratio_PA2coal[t] \ -2.22952e-10 * (b.wall_temperature_platen[t]*b.flowrate_coal_raw[t])**2 \ +1.80036e-06 * (b.wall_temperature_platen[t]*b.mf_H2O_coal_raw[t])**2 \ -0.000659596 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ +0.00333862 * (b.flowrate_coal_raw[t]*b.SR_lf[t])**2 \ +1.22954e-09 * (b.flowrate_coal_raw[t]*b.secondary_air_inlet.temperature[t])**2))", "NOx": "(-0.00436267 * b.wall_temperature_waterwall[t, 1] \ -0.0254073 * b.wall_temperature_waterwall[t, 2] \ +0.0510658 * b.wall_temperature_waterwall[t, 3] \ -0.0639424 * b.wall_temperature_waterwall[t, 4] \ -0.172523 * b.wall_temperature_waterwall[t, 5] \ -0.000482641 * b.wall_temperature_waterwall[t, 6] \ +0.355125 * b.wall_temperature_waterwall[t, 7] \ +0.00348034 * b.wall_temperature_waterwall[t, 8] \ -0.97655 * b.wall_temperature_waterwall[t, 9] \ +1.31514 * b.wall_temperature_waterwall[t, 10] \ +0.0262232 * b.wall_temperature_waterwall[t, 11] \ -0.169549 * b.wall_temperature_waterwall[t, 12] \ -0.000935994 * b.wall_temperature_platen[t] \ -0.187802 * b.wall_temperature_roof[t] \ -285.589 * b.flowrate_coal_raw[t] \ +3715.18 * b.mf_H2O_coal_raw[t] \ +4412.39 * b.SR[t] \ +3191.45 * b.SR_lf[t] \ -2.80808 * b.secondary_air_inlet.temperature[t] \ -29.6263 * b.ratio_PA2coal[t] \ -8.19895 * log(b.wall_temperature_waterwall[t, 7]) \ -632.752 * log(b.wall_temperature_waterwall[t, 10]) \ -154.422 * log(b.flowrate_coal_raw[t]) \ -286.045 * log(b.SR[t]) \ +2.8111 * b.flowrate_coal_raw[t]**2 \ -2.51074e-07 * b.wall_temperature_waterwall[t, 10]**3 \ +1290.32 * b.SR_lf[t]**3 \ +7.41824e-05 * b.wall_temperature_waterwall[t, 3]*b.wall_temperature_waterwall[t, 4] \ +0.00014509 * b.wall_temperature_waterwall[t, 3]*b.wall_temperature_waterwall[t, 12] \ +0.000150378 * b.wall_temperature_waterwall[t, 5]*b.wall_temperature_roof[t] \ +0.0248537 * b.wall_temperature_waterwall[t, 5]*b.ratio_PA2coal[t] \ -0.353374 * b.wall_temperature_waterwall[t, 7]*b.SR_lf[t] \ +1.00281 * b.wall_temperature_waterwall[t, 9]*b.SR_lf[t] \ -1.81866e-05 * b.wall_temperature_waterwall[t, 10]*b.wall_temperature_waterwall[t, 12] \ -0.279407 * b.wall_temperature_waterwall[t, 10]*b.mf_H2O_coal_raw[t] \ +0.000775333 * b.wall_temperature_waterwall[t, 11]*b.flowrate_coal_raw[t] \ -0.415888 * b.wall_temperature_waterwall[t, 11]*b.mf_H2O_coal_raw[t] \ +0.0836883 * b.wall_temperature_waterwall[t, 12]*b.SR_lf[t] \ +0.0307674 * b.wall_temperature_roof[t]*b.ratio_PA2coal[t] \ -16.1433 * b.flowrate_coal_raw[t]*b.mf_H2O_coal_raw[t] \ +13.5804 * b.flowrate_coal_raw[t]*b.SR[t] \ +287.31 * b.flowrate_coal_raw[t]*b.SR_lf[t] \ -3021.62 * b.mf_H2O_coal_raw[t]*b.SR_lf[t] \ -4546.15 * b.SR[t]*b.SR_lf[t] \ +2.61054 * b.SR_lf[t]*b.secondary_air_inlet.temperature[t] \ -0.000160638 * (b.wall_temperature_waterwall[t, 3]*b.SR_lf[t])**2 \ -0.161015 * (b.flowrate_coal_raw[t]*b.SR[t])**2 \ -2.63321 * (b.flowrate_coal_raw[t]*b.SR_lf[t])**2)", }

68.601949

100

0.601825

13,948

91,515

3.690565

0.115716

0.095093

0.304297

0.392416

0.837031

0.820052

0.71206

0.601426

0.54165

0.480981

0

0.147192

0.239141

91,515

1,333

101

68.653413

0.592087

0.006436

0

0.148372

0.000165

0

1

0

false

0

null

0

1

0

null

0

5

b84def4266e3e6f77f5a37c8713593044550a6c8

21,374

py

Python

tests/games_test.py

tulip-control/omega

0627e6d0cd15b7c42a8c53d0bb3cfa58df9c30f1

[ "BSD-3-Clause" ]

24

2018-07-19T20:04:33.000Z

2021-07-18T09:48:28.000Z

tests/games_test.py

johnyf/omega

0627e6d0cd15b7c42a8c53d0bb3cfa58df9c30f1

[ "BSD-3-Clause" ]

7

2016-07-12T21:45:28.000Z

2018-01-01T07:52:38.000Z

tests/games_test.py

tulip-control/omega

0627e6d0cd15b7c42a8c53d0bb3cfa58df9c30f1

[ "BSD-3-Clause" ]

4

2018-11-06T13:55:38.000Z

2021-07-11T18:17:35.000Z

"""Tests for `omega.games.gr1`.""" import logging import pprint from dd import mdd from nose.tools import assert_raises from omega.symbolic import enumeration from omega.symbolic import symbolic from omega.symbolic import temporal as trl from omega.games import gr1 log = logging.getLogger('astutils') log.setLevel('ERROR') log = logging.getLogger('omega') log.setLevel('ERROR') def test_streett_trivial_loop(): a = trl.default_streett_automaton() a.declare_variables(x='bool') a.varlist['sys'] = ['x'] # solve assert len(a.win['<>[]']) == 1 assert len(a.win['[]<>']) == 1 z, yij, xijk = gr1.solve_streett_game(a) assert z == a.bdd.true, z # transducer gr1.make_streett_transducer(z, yij, xijk, a) # vars assert '_goal' in a.vars, a.vars vt = a.vars['_goal']['type'] assert vt == 'int', vt dom = a.vars['_goal']['dom'] assert dom == (0, 0), dom assert 'x' in a.vars, a.vars # init init = a.init['impl'] init_ = a.add_expr('_goal = 0') assert init == init_, a.bdd.to_expr(init) # action action = a.action['impl'] s = "(_goal = 0) /\ (_goal' = 0)" action_ = a.add_expr(s) assert action == action_, a.bdd.to_expr(action) def test_rabin_trivial_loop(): a = trl.default_rabin_automaton() a.acceptance = 'Rabin(1)' a.declare_variables(x='bool') a.varlist['sys'] = ['x'] # solve assert len(a.win['<>[]']) == 1 assert len(a.win['[]<>']) == 1 zk, yki, xkijr = gr1.solve_rabin_game(a) assert zk[-1] == a.bdd.true, zk # transducer gr1.make_rabin_transducer(zk, yki, xkijr, a) # vars assert '_goal' in a.vars, a.vars vt = a.vars['_goal']['type'] assert vt == 'int', vt dom = a.vars['_goal']['dom'] assert dom == (0, 0), dom assert '_hold' in a.vars, a.vars vt = a.vars['_hold']['type'] assert vt == 'int', vt dom = a.vars['_hold']['dom'] assert dom == (0, 1), dom assert 'x' in a.vars, a.vars # init init = a.init['impl'] init_ = a.add_expr('(_goal = 0) /\ (_hold = 1)') assert init == init_, a.bdd.to_expr(init) # action action = a.action['impl'] s = ( "(_goal = 0) /\ (_goal' = 0) /\ " "(_hold' = 0)") action_ = a.add_expr(s) assert action == action_, a.bdd.to_expr(action) def test_streett_deadend(): aut = trl.default_streett_automaton() aut.declare_variables(x=(0, 10)) aut.varlist['sys'] = ['x'] aut.action['sys'] = aut.add_expr("(x = 0) /\ (x' = 5)") z, _, _ = gr1.solve_streett_game(aut) win_set = z assert win_set == aut.bdd.false, win_set def test_rabin_deadend(): aut = trl.default_streett_automaton() aut.acceptance = 'Rabin(1)' aut.declare_variables(x=(0, 101)) aut.varlist['sys'] = ['x'] aut.action['sys'] = aut.add_expr("(x = 1) /\ (x' = 96 - x)") zk, _, _ = gr1.solve_rabin_game(aut) win_set = zk[-1] assert win_set == aut.bdd.false, win_set def test_streett_always_x(): # always x aut = trl.default_streett_automaton() aut.declare_variables(x='bool') aut.varlist['sys'] = ['x'] aut.moore = False aut.action['sys'] = aut.add_expr("x' ") # solve z, yij, xijk = gr1.solve_streett_game(aut) assert z == aut.true, z # transducer gr1.make_streett_transducer(z, yij, xijk, aut) # init init = aut.init['impl'] init_ = aut.add_expr('_goal = 0') assert init == init_, aut.bdd.to_expr(init) # action action = aut.action['impl'] s = ( "(_goal = 0) /\ (_goal' = 0) /\ " "x' ") action_ = aut.add_expr(s) assert action == action_, aut.bdd.to_expr(action) # # always ~ x aut.init['env'] = aut.add_expr(' ~ x') aut.action['sys'] = aut.add_expr(' ~ x') # solve z, yij, xijk = gr1.solve_streett_game(aut) assert z == aut.add_expr(' ~ x'), aut.bdd.to_expr(z) # tranducer gr1.make_streett_transducer(z, yij, xijk, aut) assert action_refined(aut) init = aut.init['impl'] init_ = aut.add_expr('(_goal = 0)') assert init == init_, aut.bdd.to_expr(init) action = aut.action['impl'] s = "(_goal = 0) /\ (_goal' = 0) /\ ~ x /\ ~ x'" action_ = aut.add_expr(s) assert action == action_, aut.bdd.to_expr(action) def test_rabin_always_x(): # always x aut = trl.default_rabin_automaton() aut.declare_variables(x='bool') aut.varlist['sys'] = ['x'] aut.acceptance = 'Rabin(1)' aut.action['sys'] = aut.add_expr("x' ") # solve zk, yki, xkijr = gr1.solve_rabin_game(aut) win_set = zk[-1] assert win_set == aut.bdd.true, win_set # transducer gr1.make_rabin_transducer(zk, yki, xkijr, aut) # init init = aut.init['impl'] s = '(_goal = 0) /\ (_hold = 1)' init_ = aut.add_expr(s) assert init == init_, aut.bdd.to_expr(init) # action action = aut.action['impl'] s = ( "(_goal = 0) /\ (_goal' = 0) /\ " "(_hold' = 0) /\ " "x' ") action_ = aut.add_expr(s) assert action == action_, aut.bdd.to_expr(action) # # always ~ x aut.init['env'] = aut.add_expr(' ~ x') aut.action['sys'] = aut.add_expr(' ~ x') # solve zk, yki, xkijr = gr1.solve_rabin_game(aut) win_set = zk[-1] win_set_ = aut.add_expr(' ~ x') assert win_set == win_set_, aut.bdd.to_expr(win_set) # transducer gr1.make_rabin_transducer(zk, yki, xkijr, aut) assert action_refined(aut) init = aut.init['impl'] s = ' (_goal = 0) /\ (_hold = 1) ' init_ = aut.add_expr(s) assert init == init_, aut.bdd.to_expr(init) action = aut.action['impl'] s = ( "(_goal = 0) /\ (_goal' = 0) /\ " "(_hold' = 0) /\ " " ~ x /\ ~ x'") action_ = aut.add_expr(s) assert action == action_, aut.bdd.to_expr(action) def test_streett_counter(): aut = trl.default_streett_automaton() aut.declare_variables(x='bool') aut.varlist['sys'] = ['x'] aut.action['sys'] = aut.add_expr("x => ~ x' ") aut.win['[]<>'] = [aut.add_expr('x')] # solve z, yij, xijk = gr1.solve_streett_game(aut) assert z == aut.true, z # transducer gr1.make_streett_transducer(z, yij, xijk, aut) init = aut.init['impl'] init_ = aut.add_expr('_goal = 0') assert init == init_, aut.bdd.to_expr(init) action = aut.action['impl'] assert action_refined(aut) # regression s = ( "(_goal = 0) /\ (_goal' = 0) /\ " "(x <=> ~ x')") action_ = aut.add_expr(s) assert action == action_, aut.bdd.to_expr(action) def test_rabin_counter(): aut = trl.default_rabin_automaton() aut.declare_variables(x='bool') aut.varlist['sys'] = ['x'] aut.plus_one = False aut.qinit = '\A \A' aut.action['sys'] = aut.add_expr("x => ~ x' ") aut.win['[]<>'] = [aut.add_expr('x')] # solve zk, yki, xkijr = gr1.solve_rabin_game(aut) win_set = zk[-1] assert win_set == aut.bdd.true, aut.bdd.to_expr(win_set) # transducer gr1.make_rabin_transducer(zk, yki, xkijr, aut) assert action_refined(aut) init = aut.init['impl'] s = '(_goal = 0) /\ (_hold = 1)' init_ = aut.add_expr(s) assert init == init_, aut.bdd.to_expr(init) action = aut.action['impl'] # regression s = ( "(_goal = 0) /\ (_goal' = 0) /\ " "(_hold' = 0) /\ " "ite(_hold = 0, x <=> ~ x', x => ~ x')") action_ = aut.add_expr(s) assert action == action_, aut.bdd.to_expr(action) def test_rabin_persistence(): aut = trl.default_rabin_automaton() aut.declare_variables(x='bool') aut.varlist['sys'] = ['x'] aut.init['sys'] = aut.add_expr(' ~ x') aut.win['<>[]'] = [aut.add_expr('x')] # solve zk, yki, xkijr = gr1.solve_rabin_game(aut) win_set = zk[-1] assert win_set == aut.true, aut.bdd.to_expr(win_set) # tranducer gr1.make_rabin_transducer(zk, yki, xkijr, aut) assert action_refined(aut) init = aut.init['impl'] s = '(_goal = 0) /\ (_hold = 1) /\ ~ x' init_ = aut.add_expr(s) assert init == init_, aut.bdd.to_expr(init) action = aut.action['impl'] s = ( "(_goal = 0) /\ (_goal' = 0) /\ " "ite(_hold' = 1, ~ x /\ x', x /\ x')") action_ = aut.add_expr(s) assert action == action_, aut.bdd.to_expr(action) # # unrealizable aut.win['[]<>'] = [aut.add_expr(' ~ x')] zk, _, _ = gr1.solve_rabin_game(aut) win_set = zk[-1] assert win_set == aut.false, aut.bdd.to_expr(win_set) def test_rabin_persistence_2(): aut = trl.default_rabin_automaton() aut.declare_variables(x='bool') aut.varlist['sys'] = ['x'] aut.init['sys'] = aut.true aut.win['<>[]'] = [aut.add_expr('x'), aut.add_expr(' ~ x')] # solve zk, yki, xkijr = gr1.solve_rabin_game(aut) win_set = zk[-1] assert win_set == aut.true, aut.bdd.to_expr(win_set) # transducer gr1.make_rabin_transducer(zk, yki, xkijr, aut) assert action_refined(aut) init = aut.init['impl'] s = '(_goal = 0) /\ (_hold = 2)' init_ = aut.add_expr(s) assert init == init_, aut.bdd.to_expr(init) action = aut.action['impl'] # enumeration.dump_relation(action, aut) s = ( "(_goal = 0) /\ (_goal' = 0) /\ " "ite(_hold = 1," "(_hold' = 1) /\ ~ x'," "ite(_hold = 0," "(_hold' = 0) /\ x'," "(_hold = 2) /\ (" "( (_hold' = 0) /\ x' ) \/ " "( (_hold' = 1) /\ ~ x' )" ") ) )") action_ = aut.add_expr(s) assert action == action_, aut.bdd.to_expr(action) def test_streett_with_safety_assumption(): aut = trl.default_streett_automaton() aut.declare_variables(x='bool') aut.varlist['env'] = ['x'] aut.moore = False aut.plus_one = False aut.action['env'] = aut.add_expr('x') aut.action['sys'] = aut.add_expr('x') # solve z, yij, xijk = gr1.solve_streett_game(aut) assert z == aut.true, z # transducer gr1.make_streett_transducer(z, yij, xijk, aut) init = aut.init['impl'] assert init == aut.add_expr('_goal = 0'), aut.bdd.to_expr(init) action = aut.action['impl'] action_ = aut.add_expr("x => ((_goal = 0) /\ (_goal' = 0))") assert action == action_, aut.bdd.to_expr(action) # # negate action to make unrealizable aut.action['sys'] = aut.add_expr(' ~ x') # solve z, yij, xijk = gr1.solve_streett_game(aut) assert z == aut.add_expr(' ~ x'), aut.bdd.to_expr(z) # transducer with assert_raises(AssertionError): gr1.make_streett_transducer(z, yij, xijk, aut) # Moore case aut.moore = True aut.plus_one = False aut.action['env'] = aut.add_expr('x') aut.action['sys'] = aut.add_expr('x') # solve z_moore, yij, xijk = gr1.solve_streett_game(aut) assert z_moore != z, 'should differ due to plus_one' gr1.make_streett_transducer(z_moore, yij, xijk, aut) init = aut.init['impl'] assert init == aut.add_expr('_goal = 0'), aut.bdd.to_expr(init) def test_rabin_with_safety_assumption(): aut = trl.default_rabin_automaton() aut.declare_variables(x='bool') aut.varlist['env'] = ['x'] aut.init['env'] = aut.add_expr('x') aut.action['env'] = aut.add_expr("x' ") aut.action['sys'] = aut.add_expr("x") # solve zk, yki, xkijr = gr1.solve_rabin_game(aut) win_set = zk[-1] assert win_set == aut.add_expr('x'), win_set # transducer gr1.make_rabin_transducer(zk, yki, xkijr, aut) assert action_refined(aut) init = aut.init['impl'] s = '(_goal = 0) /\ (_hold = 1)' init_ = aut.add_expr(s) assert init == init_, aut.bdd.to_expr(init) action = aut.action['impl'] s = "((_goal = 0) /\ (_goal' = 0) /\ (_hold' = 0) /\ x)" action_ = aut.add_expr(s) assert action == action_, aut.bdd.to_expr(action) # # negate action to make unrealizable aut.action['sys'] = aut.add_expr(' ~ x') # solve zk, yki, xkijr = gr1.solve_rabin_game(aut) win_set = zk[-1] assert win_set == aut.false, aut.bdd.to_expr(win_set) with assert_raises(AssertionError): gr1.make_rabin_transducer(zk, yki, xkijr, aut) def test_streett_with_liveness_assumption(): aut = trl.default_streett_automaton() aut.declare_variables(x='bool', y=(0, 2)) aut.varlist = dict(env=['x'], sys=['y']) aut.init['sys'] = aut.add_expr(' y \in 0..2 ') aut.action['sys'] = aut.add_expr( """ /\ ( ((y = 0) /\ ~ x) => (y' = 0) ) /\ ((y = 0) => (y' < 2)) /\ ((y = 1) => (y' = 0)) /\ ((y = 2) => FALSE) /\ y \in 0..2 """) aut.win['<>[]'] = [aut.add_expr(' ~ x')] aut.win['[]<>'] = [aut.add_expr('y = 1')] # solve z, yij, xijk = gr1.solve_streett_game(aut) z_ = aut.add_expr('y < 2') e = aut.bdd.to_expr(z) e_ = aut.bdd.to_expr(z_) assert z == z_, (e, e_) # transducer gr1.make_streett_transducer(z, yij, xijk, aut) assert action_refined(aut) init = aut.init['impl'] assert init == aut.add_expr('(y < 2) /\ (_goal = 0)'), aut.bdd.to_expr(init) action = aut.action['impl'] s = ( "( (y = 0) => ite(x, (y' = 1), (y' = 0)) ) /\ " "( (y = 1) => (y' = 0) ) /\ " "( (_goal = 0) /\ (_goal' = 0) ) /\ " "( (y /= 2) /\ (y /= 3) )") action_ = aut.add_expr(s) sat = list(aut.bdd.pick_iter(action)) sys_action = aut.action['sys'] sys_action = gr1._copy_bdd(sys_action, aut.bdd, aut.bdd) u = aut.apply('=>', action, sys_action) assert u == aut.bdd.true, u assert action == action_, (action, action_, pprint.pprint(sat)) # # test complement b = trl.default_rabin_automaton() b.acceptance = 'Rabin(1)' b.declare_variables(x='bool', y=(0, 2)) b.varlist = dict(env=['y'], sys=['x']) b.action['env'] = gr1._copy_bdd(aut.action['sys'], aut.bdd, b.bdd) b.win['<>[]'] = [b.add_expr('y /= 1')] b.win['[]<>'] = [b.add_expr('x')] zk, yki, xkijr = gr1.solve_rabin_game(b) rabin_win_set = zk[-1] bdd = b.bdd streett_win_set = gr1._copy_bdd(z, aut.bdd, bdd) assert rabin_win_set == bdd.apply('not', streett_win_set) with assert_raises(AssertionError): gr1.make_rabin_transducer(zk, yki, xkijr, b) def test_streett_2_goals(): aut = trl.default_streett_automaton() aut.declare_variables(x='bool') aut.varlist = dict(env=list(), sys=['x']) aut.win['[]<>'] = [aut.add_expr('x'), aut.add_expr(' ~ x')] # solve z, yij, xijk = gr1.solve_streett_game(aut) assert z == aut.bdd.true, aut.bdd.to_expr(z) # transducer gr1.make_streett_transducer(z, yij, xijk, aut) assert action_refined(aut) action = aut.action['impl'] # print_fol_bdd(action, aut.bdd, aut.vars) # enumeration.dump_relation(action, aut) s = ( "((x /\ (_goal = 0)) => (_goal' = 1)) /\ " "(( ~ x /\ (_goal = 1)) => (_goal' = 0)) /\ " "(( ~ x /\ (_goal = 0)) => (x' /\ (_goal' = 0))) /\ " "((x /\ (_goal = 1)) => ( ~ x' /\ (_goal' = 1)))") action_ = aut.add_expr(s) assert action == action_, aut.bdd.to_expr(action) def test_rabin_goal(): aut = trl.default_rabin_automaton() aut.declare_variables(x='bool') aut.varlist = dict(env=['x'], sys=list()) aut.win['[]<>'] = [aut.add_expr('x')] # solve zk, yki, xkijr = gr1.solve_rabin_game(aut) win_set = zk[-1] assert win_set == aut.false, aut.bdd.to_expr(win_set) def test_rabin_2_goals(): aut = trl.default_rabin_automaton() aut.declare_variables(x='bool', y='bool') aut.varlist = dict(env=['x'], sys=['y']) aut.win['[]<>'] = [aut.add_expr('x => y')] # solve zk, _, _ = gr1.solve_rabin_game(aut) win_set = zk[-1] assert win_set == aut.true, aut.bdd.to_expr(win_set) # # unrealizable aut.win['<>[]'] = [aut.add_expr(' ~ y')] zk, _, _ = gr1.solve_rabin_game(aut) win_set = zk[-1] assert win_set == aut.false, aut.bdd.to_expr(win_set) # # realizable again aut.win['<>[]'] = [aut.add_expr('y')] zk, _, _ = gr1.solve_rabin_game(aut) win_set = zk[-1] assert win_set == aut.true, aut.bdd.to_expr(win_set) # # unrealizable aut.win['[]<>'] = [aut.add_expr(s) for s in ['x => y', ' ~ y']] zk, _, _ = gr1.solve_rabin_game(aut) win_set = zk[-1] assert win_set == aut.false, aut.bdd.to_expr(win_set) def test_is_realizable(): aut = trl.default_streett_automaton() aut.declare_variables(x='bool', y=(0, 5)) aut.varlist = dict(env=['x'], sys=['y']) aut.prime_varlists() # \A \A realizable aut.init['env'] = aut.add_expr('x /\ (y = 1)') aut.init['sys'] = aut.true aut.qinit = '\A \A' z = aut.add_expr('x /\ (y < 2)') assert gr1.is_realizable(z, aut) # \A \A unrealizable aut.init['env'] = aut.add_expr('(y < 1)') assert not gr1.is_realizable(z, aut) # \E \E realizable aut.init['env'] = aut.true aut.init['sys'] = aut.add_expr('x /\ (y < 3)') aut.qinit = '\E \E' z = aut.add_expr('x /\ (y < 2)') assert gr1.is_realizable(z, aut) # \E \E unrealizable aut.init['env'] = aut.true aut.init['sys'] = aut.add_expr('(y > 10)') aut.qinit = '\E \E' z = aut.true assert not gr1.is_realizable(z, aut) # \A \E realizable aut.moore = False aut.init['env'] = aut.true s = ( '(x => (y = 1)) /\ ' '((~ x) => (y = 4))') aut.init['sys'] = aut.add_expr(s) aut.qinit = '\A \E' z = aut.add_expr('y > 0') assert gr1.is_realizable(z, aut) # \A \E unrealizable s = ( '(x => (y = 1)) /\ ' '((~ x) => (y = 10))') aut.init['sys'] = aut.add_expr(s) aut.qinit = '\A \E' z = aut.true assert not gr1.is_realizable(z, aut) # \E \A realizable aut.moore = True s = 'x => (y = 1)' aut.init['sys'] = aut.add_expr(s) aut.qinit = '\E \A' z = aut.add_expr('y <= 2') assert gr1.is_realizable(z, aut) # \E \A unrealizable aut.init['env'] = aut.true aut.init['sys'] = aut.add_expr(r''' /\ (x => (y = 1)) /\ ((~ x) => (y = 3)) ''') aut.moore = True aut.qinit = '\E \A' z = aut.add_expr('y = 1 \/ y = 2') assert not gr1.is_realizable(z, aut) def test_make_init(): aut = trl.default_streett_automaton() aut.declare_variables(x='bool') aut.varlist.update(env=['x'], sys=['y']) internal_init = aut.true win = aut.true aut.qinit = '???' with assert_raises(ValueError): gr1._make_init(internal_init, win, aut) def test_streett_qinit_exist_forall(): aut = trl.default_streett_automaton() aut.declare_variables(x='bool', y=(0, 5)) aut.varlist = dict(env=['x'], sys=['y']) aut.moore = True aut.qinit = '\E \A' aut.init['env'] = aut.add_expr('x') aut.init['sys'] = aut.add_expr('(x => (y = 4)) /\ y \in 0..5') aut.action['sys'] = aut.add_expr('y \in 0..5') # solve z, yij, xijk = gr1.solve_streett_game(aut) assert z == aut.add_expr('y \in 0..5'), aut.bdd.to_expr(z) # transducer gr1.make_streett_transducer(z, yij, xijk, aut) u = aut.init['impl'] u_ = aut.add_expr('(y = 4) /\ (_goal = 0)') assert u == u_, aut.bdd.to_expr(u) def test_trivial_winning_set(): aut = trl.default_streett_automaton() aut.declare_variables(x='bool') aut.varlist = dict(env=list(), sys=['x']) aut.win['<>[]'] = [aut.add_expr(' ~ x')] triv, aut = gr1.trivial_winning_set(aut) assert triv == aut.true, aut.bdd.to_expr(triv) def test_warn_moore_mealy(): aut = trl.default_streett_automaton() aut.declare_variables(x='bool', y=(0, 25)) aut.varlist = dict(env=['x'], sys=['y']) # Moore OK aut.moore = True aut.action['env'] = aut.add_expr("x /\ x' ") aut.action['sys'] = aut.add_expr("(y > 4) /\ (y' = 5)") aut.build() r = gr1._warn_moore_mealy(aut) assert r is True, r # Moore with env' in sys action aut.action['env'] = aut.add_expr("x /\ x' ") aut.action['sys'] = aut.add_expr("x' /\ (y > 4) /\ (y' = 5)") r = gr1._warn_moore_mealy(aut) assert r is False, r # Mealy with env' in sys action aut.moore = False r = gr1._warn_moore_mealy(aut) assert r is True, r # Mealy with sys' in env action aut.action['env'] = aut.add_expr("x /\ x' /\ (y' > 4)") aut.moore = False r = gr1._warn_moore_mealy(aut) assert r is False, r # Moore with sys' in env action aut.action['sys'] = aut.add_expr("(y > 4) /\ (y' = 5)") aut.moore = True r = gr1._warn_moore_mealy(aut) assert r is False, r def action_refined(aut): """Return `True` if action of `'impl'` refines `'sys'`. @type aut_a, aut_b: `temporal.Automaton` """ a = aut.action['sys'] b = aut.action['impl'] refined = aut.apply('=>', b, a) return refined == aut.true, aut.bdd.to_expr(b & ~ a) def print_fol_bdd(u, bdd, table): """Print a first-order formula for node `u`. Example: ``` aut = temporal.Automaton() aut.vars = dict(x=dict(type='int', dom=(0, 5), owner='sys')) aut.action['sys'] = ['x = 1'] u = aut.action['sys'][0] print_fol_bdd(u, aut.bdd, aut.vars) ``` """ bdd.incref(u) dvars = symbolic._prime_and_order_table(table) m, umap = mdd.bdd_to_mdd(bdd, dvars) u_ = -umap[abs(u)] s = m.to_expr(u_) print(s) if __name__ == '__main__': test_rabin_2_goals()

31.525074

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0.567933

3,177

21,374

3.612528

0.050677

0.059162

0.079289

0.045047

0.814673

0.783916

0.748105

0.703407

0.678836

0.653829

0

0.015555

0.239029

21,374

677

81

31.57164

0.690071

0.061898

0

0.655706

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0.005803

0.132046

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0.193424

1

0.044487

false

0

0.015474

0

0.061896

0.007737

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null

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0

1

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null

0

5

b229f4008dc0056e234c6c396da762e6994c7cd1

35,698

py

Python

test/test_infrastructure.py

kursawe/hesdynamics

e7dd743ba6fcf36bd31937ec4c2c96bd890cc606

[ "BSD-3-Clause" ]

null

test/test_infrastructure.py

kursawe/hesdynamics

e7dd743ba6fcf36bd31937ec4c2c96bd890cc606

[ "BSD-3-Clause" ]

null

test/test_infrastructure.py

kursawe/hesdynamics

e7dd743ba6fcf36bd31937ec4c2c96bd890cc606

[ "BSD-3-Clause" ]

null

import unittest import os import os.path import sys os.environ["OMP_NUM_THREADS"] = "1" import matplotlib as mpl mpl.use('Agg') mpl.rcParams['mathtext.default'] = 'regular' import matplotlib.pyplot as plt font = {'size' : 10} plt.rc('font', **font) import numpy as np # make sure we find the right python module sys.path.append(os.path.join(os.path.dirname(__file__),'..','src')) import hes5 class TestInfrastructure(unittest.TestCase): def test_generate_single_oscillatory_trajectory(self): #First: run the model for 100 minutes my_trajectory = hes5.generate_deterministic_trajectory( duration = 720, repression_threshold = 100, mRNA_degradation_rate = 0.03, protein_degradation_rate = 0.03, transcription_delay = 19, initial_mRNA = 3, initial_protein = 100) # integrator = 'PyDDE', # for_negative_times = 'no_negative' ) #Second, plot the model figuresize = (4,2.75) my_figure = plt.figure() plt.plot(my_trajectory[:,0], my_trajectory[:,1], label = 'mRNA', color = 'black') plt.plot(my_trajectory[:,0], my_trajectory[:,2]*0.03, label = 'Hes protein', color = 'black', ls = '--') plt.xlabel('Time') plt.ylabel('Scaled expression') plt.legend() my_figure.savefig(os.path.join(os.path.dirname(__file__), 'output','oscillating_trajectory.pdf')) def test_stochastic_trajectory(self): my_trajectory = hes5.generate_stochastic_trajectory( duration = 720, repression_threshold = 100, mRNA_degradation_rate = 0.03, protein_degradation_rate = 0.03, transcription_delay = 18.5, initial_mRNA = 3, initial_protein = 100 ) #Second, plot the model figuresize = (4,2.75) my_figure = plt.figure() plt.plot(my_trajectory[:,0], my_trajectory[:,1], label = 'mRNA', color = 'black') plt.plot(my_trajectory[:,0], my_trajectory[:,2]*0.03, label = 'Hes protein (scaled)', color = 'black', ls = '--') plt.xlabel('Time') plt.ylabel('Copy number') plt.legend() my_figure.savefig(os.path.join(os.path.dirname(__file__), 'output','stochastic_trajectory.pdf')) def test_equlibrate_stochastic_trajectory(self): #for profiling np.random.seed(0) my_trajectory = hes5.generate_stochastic_trajectory( duration = 1500, repression_threshold = 31400, mRNA_degradation_rate = np.log(2)/30, protein_degradation_rate = np.log(2)/90, translation_rate = 29, basal_transcription_rate = 11, transcription_delay = 29, initial_mRNA = 3, initial_protein = 31400, equilibration_time = 1000) figuresize = (4,2.5) my_figure = plt.figure() plt.plot(my_trajectory[:,0], my_trajectory[:,1]*1000, label = 'mRNA*1000', color = 'black') plt.plot(my_trajectory[:,0], my_trajectory[:,2], label = 'Hes protein', color = 'black', ls = '--') plt.text(0.95, 0.4, 'Mean protein number: ' + str(np.mean(my_trajectory[:,2])), verticalalignment='bottom', horizontalalignment='right', transform=plt.gca().transAxes) plt.xlabel('Time') plt.ylabel('Copy number') plt.legend() my_figure.savefig(os.path.join(os.path.dirname(__file__), 'output','hes5_stochastic_trajectory_equilibrated.pdf')) def test_calculate_power_spectrum_of_specific_trace(self): interval_length = 100 x_values = np.linspace(1,interval_length,1000) function_values = 3*np.sin(2*np.pi*0.5*x_values) + 2*np.sin(2*np.pi*0.2*x_values) + 10.0 number_of_data_points = len(x_values) trajectory = np.vstack((x_values, function_values)).transpose() # fourier_transform = np.fft.fft(function_values)/number_of_data_points # fourier_frequencies = np.arange(0,number_of_data_points/(2.0*interval_length), 1.0/(interval_length) ) power_spectrum,_,_ = hes5.calculate_power_spectrum_of_trajectory(trajectory) my_figure = plt.figure() my_figure.add_subplot(211) plt.plot(x_values, function_values, label = r'$3sin(2\pi 0.5x) + 2sin(2\pi 0.2x)$', color = 'black') plt.xlabel('x') plt.ylabel('f(x)') plt.legend() my_figure.add_subplot(212) plt.plot(power_spectrum[:,0], power_spectrum[:,1], color = 'black') plt.xlim(0,1) plt.xlabel('Frequency') plt.ylabel('Occurence') my_figure.savefig(os.path.join(os.path.dirname(__file__), 'output','power_spectrum_test.pdf')) def test_stochastic_hes_trajectory_with_langevin(self): # same plot as before for different transcription ("more_mrna") - not yet # our preferred hes5 values my_trajectory = hes5.generate_langevin_trajectory( duration = 1500, repression_threshold = 23000, mRNA_degradation_rate = np.log(2)/30, protein_degradation_rate = np.log(2)/90, translation_rate = 26, basal_transcription_rate = 9, transcription_delay = 29, initial_mRNA = 3, initial_protein = 23000) self.assertGreaterEqual(np.min(my_trajectory),0.0) figuresize = (4,2.5) my_figure = plt.figure() plt.plot(my_trajectory[:,0], my_trajectory[:,1]*10000, label = 'mRNA*1000', color = 'black') plt.plot(my_trajectory[:,0], my_trajectory[:,2], label = 'Hes protein', color = 'black', ls = '--') plt.text(0.95, 0.4, 'Mean protein number: ' + str(np.mean(my_trajectory[:,2])), verticalalignment='bottom', horizontalalignment='right', transform=plt.gca().transAxes) plt.xlabel('Time') plt.ylabel('Copy number') plt.legend() my_figure.savefig(os.path.join(os.path.dirname(__file__), 'output','hes5_langevin_trajectory.pdf')) def test_stochastic_hes_trajectory_with_other_noise(self): my_trajectory = hes5.generate_agnostic_noise_trajectory( duration = 1500, repression_threshold = 23000, mRNA_degradation_rate = np.log(2)/30, protein_degradation_rate = np.log(2)/90, translation_rate = 26, basal_transcription_rate = 9, transcription_delay = 29, initial_mRNA = 3, initial_protein = 23000) self.assertGreaterEqual(np.min(my_trajectory),0.0) figuresize = (4,2.5) my_figure = plt.figure() plt.plot(my_trajectory[:,0], my_trajectory[:,1]*10000, label = 'mRNA*1000', color = 'black') plt.plot(my_trajectory[:,0], my_trajectory[:,2], label = 'Hes protein', color = 'black', ls = '--') plt.text(0.95, 0.4, 'Mean protein number: ' + str(np.mean(my_trajectory[:,2])), verticalalignment='bottom', horizontalalignment='right', transform=plt.gca().transAxes) plt.xlabel('Time') plt.ylabel('Copy number') plt.legend() my_figure.savefig(os.path.join(os.path.dirname(__file__), 'output','hes5_agnostic_trajectory.pdf')) def test_equlibrate_langevin_trajectory(self): import time np.random.seed(0) start = time.clock() my_trajectory = hes5.generate_langevin_trajectory( duration = 1500, repression_threshold = 31400, mRNA_degradation_rate = np.log(2)/30, protein_degradation_rate = np.log(2)/90, translation_rate = 29, basal_transcription_rate = 11, transcription_delay = 29, initial_mRNA = 3, initial_protein = 31400, equilibration_time = 1000) end = time.clock() # print('needed ' + str(end-start) + ' seconds') figuresize = (4,2.5) my_figure = plt.figure() plt.plot(my_trajectory[:,0], my_trajectory[:,1]*1000, label = 'mRNA*1000', color = 'black') plt.plot(my_trajectory[:,0], my_trajectory[:,2], label = 'Hes protein', color = 'black', ls = '--') plt.text(0.95, 0.4, 'Mean protein number: ' + str(np.mean(my_trajectory[:,2])), verticalalignment='bottom', horizontalalignment='right', transform=plt.gca().transAxes) plt.xlabel('Time') plt.ylabel('Copy number') plt.legend() my_figure.savefig(os.path.join(os.path.dirname(__file__), 'output','hes5_langevin_trajectory_equilibrated.pdf')) def test_multiple_equlibrated_langevin_trajectories(self): mRNA_trajectories, protein_trajectories = hes5.generate_multiple_langevin_trajectories( number_of_trajectories = 100, duration = 1500, repression_threshold = 31400, mRNA_degradation_rate = np.log(2)/30, protein_degradation_rate = np.log(2)/90, translation_rate = 29, basal_transcription_rate = 11, transcription_delay = 29, initial_mRNA = 3, initial_protein = 31400, equilibration_time = 1000) np.save(os.path.join(os.path.dirname(__file__), 'output','protein_traces.npy'), protein_trajectories) np.save(os.path.join(os.path.dirname(__file__), 'output','rna_traces.npy'), mRNA_trajectories) mean_protein_trajectory = np.mean(protein_trajectories[:,1:], axis = 1) protein_deviation = np.std(mRNA_trajectories[:,1:]) mean_mRNA_trajectory = np.mean(mRNA_trajectories[:,1:], axis = 1) mRNA_deviation = np.std(mRNA_trajectories[:,1:]) figuresize = (4,2.75) my_figure = plt.figure() # want to plot: protein and mRNA for stochastic and deterministic system, # example stochastic system plt.plot( mRNA_trajectories[:,0], mRNA_trajectories[:,1]*1000., label = 'mRNA example', color = 'black' ) plt.plot( protein_trajectories[:,0], protein_trajectories[:,1], label = 'Protein example', color = 'black', ls = '--' ) plt.plot( mRNA_trajectories[:,0], mean_mRNA_trajectory*1000, label = 'Mean mRNA*1000', color = 'blue' ) plt.plot( protein_trajectories[:,0], mean_protein_trajectory, label = 'Mean protein*1000', color = 'blue', ls = '--' ) plt.ylabel('Copy number') plt.legend() my_figure.savefig(os.path.join(os.path.dirname(__file__), 'output','average_hes5_langevin_behaviour.pdf')) def test_multiple_equlibrated_agnostic_trajectories(self): mRNA_trajectories, protein_trajectories = hes5.generate_multiple_agnostic_trajectories( number_of_trajectories = 100, duration = 1500, repression_threshold = 31400, mRNA_degradation_rate = np.log(2)/30, protein_degradation_rate = np.log(2)/90, translation_rate = 29, basal_transcription_rate = 11, transcription_delay = 29, mRNA_noise_strength = 10, protein_noise_strength = 10, initial_mRNA = 3, initial_protein = 31400, equilibration_time = 1000) np.save(os.path.join(os.path.dirname(__file__), 'output','agnostic_protein_traces.npy'), protein_trajectories) np.save(os.path.join(os.path.dirname(__file__), 'output','agnostic_rna_traces.npy'), mRNA_trajectories) mean_protein_trajectory = np.mean(protein_trajectories[:,1:], axis = 1) protein_deviation = np.std(mRNA_trajectories[:,1:]) mean_mRNA_trajectory = np.mean(mRNA_trajectories[:,1:], axis = 1) mRNA_deviation = np.std(mRNA_trajectories[:,1:]) figuresize = (4,2.75) my_figure = plt.figure() # want to plot: protein and mRNA for stochastic and deterministic system, # example stochastic system plt.plot( mRNA_trajectories[:,0], mRNA_trajectories[:,1]*1000., label = 'mRNA example', color = 'black' ) plt.plot( protein_trajectories[:,0], protein_trajectories[:,1], label = 'Protein example', color = 'black', ls = '--' ) plt.plot( mRNA_trajectories[:,0], mean_mRNA_trajectory*1000, label = 'Mean mRNA*1000', color = 'blue' ) plt.plot( protein_trajectories[:,0], mean_protein_trajectory, label = 'Mean protein*1000', color = 'blue', ls = '--' ) plt.ylabel('Copy number') plt.legend() my_figure.savefig(os.path.join(os.path.dirname(__file__), 'output','average_hes5_agnostic_behaviour.pdf')) def test_make_abc_example(self): ## generate posterior samples total_number_of_samples = 200 # total_number_of_samples = 10 prior_bounds = {'basal_transcription_rate' : (0.1,100), 'translation_rate' : (1,200), 'repression_threshold' : (0,100000), 'time_delay' : (5,40), 'hill_coefficient' : (2,6)} # 'mRNA_degradation_rate': (np.log(2)/500, np.log(2)/5), # 'protein_degradation_rate': (np.log(2)/500, np.log(2)/5)} # 'mRNA_degradation_rate': (0.001, 0.04), # 'protein_degradation_rate': (0.001, 0.04), my_prior_samples, my_prior_results = hes5.generate_lookup_tables_for_abc( total_number_of_samples, number_of_traces_per_sample = 200, saving_name = 'test_sampling_results', prior_bounds = prior_bounds, prior_dimension = 'hill', logarithmic = True, simulation_timestep = 1.0, simulation_duration = 1500*5) self.assertEquals(my_prior_samples.shape, (total_number_of_samples, 5)) self.assertEquals(my_prior_results.shape, (total_number_of_samples, 12)) def test_make_logarithmic_degradation_rate_sweep(self): number_of_parameter_points = 5 number_of_trajectories = 10 # number_of_parameter_points = 3 # number_of_trajectories = 2 # saving_path = os.path.join(os.path.dirname(__file__), 'output','sampling_results_all_parameters') saving_path = os.path.join(os.path.dirname(__file__), 'data','test_sampling_results') model_results = np.load(saving_path + '.npy' ) prior_samples = np.load(saving_path + '_parameters.npy') accepted_indices = np.where(np.logical_and(model_results[:,0]>55000, #cell number np.logical_and(model_results[:,0]<65000, #cell_number np.logical_and(model_results[:,1]<0.15, #standard deviation model_results[:,1]>0.05)))) #standard deviation my_posterior_samples = prior_samples[accepted_indices] my_sweep_results = hes5.conduct_parameter_sweep_at_parameters('protein_degradation_rate', my_posterior_samples, number_of_sweep_values = number_of_parameter_points, number_of_traces_per_parameter = number_of_trajectories, relative = False) np.save(os.path.join(os.path.dirname(__file__), 'output','test_degradation_sweep.npy'), my_sweep_results) def test_make_logarithmic_relative_parameter_variation(self): number_of_parameter_points = 5 number_of_trajectories = 10 # number_of_parameter_points = 3 # number_of_trajectories = 2 # saving_path = os.path.join(os.path.dirname(__file__), 'output','sampling_results_all_parameters') saving_path = os.path.join(os.path.dirname(__file__), 'data','test_sampling_results') model_results = np.load(saving_path + '.npy' ) prior_samples = np.load(saving_path + '_parameters.npy') accepted_indices = np.where(np.logical_and(model_results[:,0]>55000, #cell number np.logical_and(model_results[:,0]<65000, #cell_number np.logical_and(model_results[:,1]<0.15, #standard deviation model_results[:,1]>0.05)))) #standard deviation my_posterior_samples = prior_samples[accepted_indices] my_parameter_sweep_results = hes5.conduct_all_parameter_sweeps_at_parameters(my_posterior_samples, number_of_parameter_points, number_of_trajectories, relative = True) for parameter_name in my_parameter_sweep_results: np.save(os.path.join(os.path.dirname(__file__), 'output','test_relative_sweeps_' + parameter_name + '.npy'), my_parameter_sweep_results[parameter_name]) def test_failing_deterministic_trace(self): full_parameter = [5.64405525e-01, 2.33857520e+01, 7.87142865e+04, 5.80000000e+01, 4.74611147e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [8.24305146e-01, 3.01059149e+01, 5.69276195e+04, 2.90000000e+00, 3.82789287e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [8.24305146e-01, 3.01059149e+01, 5.69276195e+04, 5.80000000e+01, 3.82789287e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [7.23097666e-01, 3.24539043e+01, 5.08734455e+04, 2.20000000e+00, 3.44921873e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [7.23097666e-01, 3.24539043e+01, 5.08734455e+04, 4.40000000e+01, 3.44921873e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [5.71830551e-01, 2.77724873e+01, 9.21711471e+04, 1.30000000e+00, 2.13052352e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [5.71830551e-01, 2.77724873e+01, 9.21711471e+04, 2.60000000e+01, 2.13052352e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [1.43532951e+00, 1.19734135e+01, 6.76807739e+04, 1.50000000e+00, 5.84590839e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [1.43532951e+00, 1.19734135e+01, 6.76807739e+04, 3.00000000e+01, 5.84590839e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [1.27096653e+00, 1.83922224e+01, 4.91150644e+04, 3.30000000e+00, 2.50855151e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [1.27096653e+00, 1.83922224e+01, 4.91150644e+04, 6.60000000e+01, 2.50855151e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [1.44017237e+00, 7.98767456e+00, 8.83943412e+04, 3.00000000e+00, 4.02035789e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [1.44017237e+00, 7.98767456e+00, 8.83943412e+04, 6.00000000e+01, 4.02035789e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [6.51957055e-01, 2.60307499e+01, 7.07211331e+04, 1.30000000e+00, 4.87296426e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [6.51957055e-01, 2.60307499e+01, 7.07211331e+04, 2.60000000e+01, 4.87296426e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [1.62125865e+00, 6.87269278e+00, 1.15488176e+05, 1.50000000e+00, 3.44316352e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [1.62125865e+00, 6.87269278e+00, 1.15488176e+05, 3.00000000e+01, 3.44316352e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [1.08771820e+00, 1.27012825e+01, 8.10682842e+04, 2.50000000e+00, 2.42679925e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [1.08771820e+00, 1.27012825e+01, 8.10682842e+04, 5.00000000e+01, 2.42679925e+00, 2.31049060e-02, 7.70163534e-03] full_parameter = [5.22348438e-01, 2.11394860e+01, 1.19414879e+05, 7.80000000e+01, 4.47302277e+00, 2.31049060e-02, 7.70163534e-03] my_trajectory = hes5.generate_deterministic_trajectory(1500*5+1000, full_parameter[2], full_parameter[4], full_parameter[5], full_parameter[6], full_parameter[0], full_parameter[1], full_parameter[3], 10, full_parameter[2], for_negative_times = 'no_negative') figuresize = (4,2.75) my_figure = plt.figure() plt.plot(my_trajectory[:,0], my_trajectory[:,1], label = 'mRNA', color = 'black') plt.plot(my_trajectory[:,0], my_trajectory[:,2]*0.03, label = 'Hes protein', color = 'black', ls = '--') plt.xlabel('Time') plt.ylabel('Scaled expression') plt.legend() my_figure.savefig(os.path.join(os.path.dirname(__file__), 'output','failing_parameter.pdf')) def test_deterministic_bifurcation(self): ##at this parameter point the system should oscillate protein_degradation = 0.03 mrna_degradation = 0.03 transcription_delay = 18.5 basal_transcription_rate = 1.0 translation_rate = 1.0 repression_threshold = 100.0 hill_coefficient = 5 is_oscillatory = hes5.is_parameter_point_deterministically_oscillatory( repression_threshold = repression_threshold, hill_coefficient = hill_coefficient, mRNA_degradation_rate = mrna_degradation, protein_degradation_rate = protein_degradation, basal_transcription_rate = basal_transcription_rate, translation_rate = translation_rate, transcription_delay = transcription_delay) self.assert_(is_oscillatory) ## at this parameter point the system should not oscillate protein_degradation = np.log(2)/90.0 mrna_degradation = np.log(2)/30.0 transcription_delay = 29 basal_transcription_rate = 1.0 translation_rate = 320.0 repression_threshold = 60000 hill_coefficient = 5 is_oscillatory = hes5.is_parameter_point_deterministically_oscillatory( repression_threshold = repression_threshold, hill_coefficient = hill_coefficient, mRNA_degradation_rate = mrna_degradation, protein_degradation_rate = protein_degradation, basal_transcription_rate = basal_transcription_rate, translation_rate = translation_rate, transcription_delay = transcription_delay) self.assert_(not is_oscillatory) def test_stochastic_bifurcation(self): ##at this parameter point the system should oscillate protein_degradation = 0.03 mrna_degradation = 0.03 transcription_delay = 18.5 basal_transcription_rate = 1.0 translation_rate = 1.0 repression_threshold = 100.0 hill_coefficient = 5 is_oscillatory = hes5.is_parameter_point_stochastically_oscillatory( repression_threshold = repression_threshold, hill_coefficient = hill_coefficient, mRNA_degradation_rate = mrna_degradation, protein_degradation_rate = protein_degradation, basal_transcription_rate = basal_transcription_rate, translation_rate = translation_rate, transcription_delay = transcription_delay ) self.assert_(is_oscillatory) ## at this parameter point the system should not oscillate stochastically protein_degradation = np.log(2)/90.0 mrna_degradation = np.log(2)/30.0 transcription_delay = 34 basal_transcription_rate = 0.64 translation_rate = 17.32 repression_threshold = 88288.6 hill_coefficient = 5.59 is_oscillatory = hes5.is_parameter_point_stochastically_oscillatory( repression_threshold = repression_threshold, hill_coefficient = hill_coefficient, mRNA_degradation_rate = mrna_degradation, protein_degradation_rate = protein_degradation, basal_transcription_rate = basal_transcription_rate, translation_rate = translation_rate, transcription_delay = transcription_delay) self.assert_(not is_oscillatory) def test_get_period_values_from_signal(self): time_points = np.linspace(0,1000,100000) signal_values = np.sin(2*np.pi/2*time_points) + 10 period_values = hes5.get_period_measurements_from_signal(time_points,signal_values) for period_value in period_values[1:-1]: self.assertAlmostEqual(period_value, 2.0, 3) signal_values = np.sin(2*np.pi/1.42*time_points) + 10 period_values = hes5.get_period_measurements_from_signal(time_points,signal_values) # print(period_values) # in this case, for whatever weird boundary effect reason the hilbert won't give the right # response on the boundaries, let's check the mean instead self.assertAlmostEqual(np.mean(period_values), 1.42, 2) def xest_generate_alternative_deterministic_trajectory(self): basal_transcription_rate = 5.0 translation_rate = 20.0 repression_threshold = 31000.0 time_delay = 40. hill_coefficient = 5.0 protein_degradation_rate = np.log(2)/90.0 mRNA_degradation_rate = np.log(2)/30.0 dde_gradient = [ basal_transcription_rate*1.0/(1.0+(y(1,t - time_delay)/repression_threshold)**hill_coefficient)- mRNA_degradation_rate*y(0), translation_rate*y(0) - protein_degradation_rate*y(1)] DDE = jitcdde(dde_gradient) initial_condition = [10, repression_threshold] DDE.add_past_point(-time_delay , initial_condition, np.zeros(2)) # DDE.add_past_point(-time_delay*0.001 , [10,1000*repression_threshold], np.zeros(2)) # DDE.constant_past([0,0], 0.0) DDE.add_past_point(0.0 , initial_condition, np.zeros(2)) DDE.step_on_discontinuities() times = np.arange(DDE.t,DDE.t+1000,1.0) results = np.zeros((len(times),3)) time_index = 0 print(times) for time in times: results[time_index,0] = time results[time_index,1:] = DDE.integrate(time) time_index += 1 my_trajectory = results print(my_trajectory) figuresize = (4,2.75) my_figure = plt.figure() plt.plot(my_trajectory[:,0], my_trajectory[:,1], label = 'mRNA', color = 'black') plt.plot(my_trajectory[:,0], my_trajectory[:,2]*0.03, label = 'Hes protein', color = 'black', ls = '--') plt.xlabel('Time') plt.ylabel('Scaled expression') plt.legend() my_figure.savefig(os.path.join(os.path.dirname(__file__), 'output','test_jitcdde.pdf')) def xest_generate_further_alternative_deterministic_trajectory(self): basal_transcription_rate = 5.0 translation_rate = 20.0 repression_threshold = 31000.0 time_delay = 40. hill_coefficient = 5.0 protein_degradation_rate = np.log(2)/90.0 mRNA_degradation_rate = np.log(2)/30.0 dde_gradient = [ basal_transcription_rate*1.0/(1.0+(y(1,t - time_delay)/repression_threshold)**hill_coefficient)- mRNA_degradation_rate*y(0), translation_rate*y(0) - protein_degradation_rate*y(1)] DDE = jitcdde(dde_gradient) initial_condition = [10, repression_threshold] DDE.add_past_point(-time_delay , initial_condition, np.zeros(2)) # DDE.add_past_point(-time_delay*0.001 , [10,1000*repression_threshold], np.zeros(2)) # DDE.constant_past([0,0], 0.0) DDE.add_past_point(0.0 , initial_condition, np.zeros(2)) DDE.step_on_discontinuities() times = np.arange(DDE.t,DDE.t+1000,1.0) results = np.zeros((len(times),3)) time_index = 0 print(times) for time in times: results[time_index,0] = time results[time_index,1:] = DDE.integrate(time) time_index += 1 my_trajectory = results print(my_trajectory) figuresize = (4,2.75) my_figure = plt.figure() plt.plot(my_trajectory[:,0], my_trajectory[:,1], label = 'mRNA', color = 'black') plt.plot(my_trajectory[:,0], my_trajectory[:,2]*0.03, label = 'Hes protein', color = 'black', ls = '--') plt.xlabel('Time') plt.ylabel('Scaled expression') plt.legend() my_figure.savefig(os.path.join(os.path.dirname(__file__), 'output','test_jitcdde.pdf')) def xest_website_jitcdde_example(self): omega = np.random.normal(0.89, 0.0089, 2) kappa = 0.25 delay = 4.5 f = [ omega[0] * (-y(1) - y(2)), omega[0] * (y(0) + 0.165 * y(1)), omega[0] * (0.2 + y(2) * (y(0) - 10.0)), omega[1] * (-y(4) - y(5)) + kappa * (y(0,t-delay) - y(3)), omega[1] * (y(3) + 0.165 * y(4)), omega[1] * (0.2 + y(5) * (y(3) - 10.0)) ] DDE = jitcdde(f) start_state = np.random.uniform(-0.5,0.5,6) DDE.add_past_point(-delay, start_state, np.zeros(6)) DDE.add_past_point(0.0 , start_state, np.zeros(6)) DDE.step_on_discontinuities() times = np.arange(DDE.t,DDE.t+1000,0.1) data = np.vstack(DDE.integrate(T) for T in times) np.savetxt("two_roesslers.dat", data)

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Python

services/web/project/__init__.py

mythre/flask-spark-docker

04ffaed6aeca4f27b83218cb019dbf3667f22a43

[ "MIT" ]

32

2018-01-21T18:10:51.000Z

2021-12-20T15:18:33.000Z

services/web/project/__init__.py

mythre/flask-spark-docker

04ffaed6aeca4f27b83218cb019dbf3667f22a43

[ "MIT" ]

1

2019-02-14T08:43:01.000Z

2020-04-25T21:53:42.000Z

services/web/project/__init__.py

mythre/flask-spark-docker

04ffaed6aeca4f27b83218cb019dbf3667f22a43

[ "MIT" ]

16

2018-04-25T13:37:38.000Z

2021-06-27T00:16:26.000Z

# services/web/__init__.py

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Python

intro/part02-13_alphabetically_in_the_middle/test/test_alphabetically_in_the_middle.py

Hannah-Abi/python-pro-21

2ce32c4bf118054329d19afdf83c50561be1ada8

[ "MIT" ]

null

intro/part02-13_alphabetically_in_the_middle/test/test_alphabetically_in_the_middle.py

Hannah-Abi/python-pro-21

2ce32c4bf118054329d19afdf83c50561be1ada8

[ "MIT" ]

null

intro/part02-13_alphabetically_in_the_middle/test/test_alphabetically_in_the_middle.py

Hannah-Abi/python-pro-21

2ce32c4bf118054329d19afdf83c50561be1ada8

[ "MIT" ]

null

import unittest from unittest.mock import patch from tmc import points from tmc.utils import load_module, reload_module, get_stdout from functools import reduce from random import randint exercise = 'src.alphabetically_in_the_middle' def format_tuple(d : tuple): return str(d).replace("'","") @points('2.alphabetically_in_the_middle') class AlphabeticallyInTheMiddleTest(unittest.TestCase): @classmethod def setUpClass(cls): with patch('builtins.input', side_effect =['A','B',"C"]): cls.module = load_module(exercise, 'en') def test_middle_first(self): values = ["Y X Z", "B C A", "R U C", "H D N"] for letters in values: valuegroup = letters.split(" ") with patch('builtins.input', side_effect = list(valuegroup)): reload_module(self.module) out = get_stdout() output = out.split("\n") self.assertTrue(len(out) > 0, "Your program does not print out anything with input {}".format(valuegroup)) correct = "The letter in the middle is " + sorted(valuegroup)[1] self.assertTrue(len(output) == 1, "Instead of one row, your program's output is in {} rows: {} when input {}".format(len(output), output, format_tuple(valuegroup))) self.assertTrue(output[0].find(correct) > -1, "Output\n{}\ndoes not match with the correct output\n{}\nwhen input is {}". format(output[0], correct, format_tuple(valuegroup))) def test_middle_second(self): values = ["x y z", "c b a", "p d b", "e w y"] for letters in values: valuegroup = letters.split(" ") with patch('builtins.input', side_effect = list(valuegroup)): reload_module(self.module) out = get_stdout() output = out.split("\n") self.assertTrue(len(out) > 0, "Your program does not print out anything with input {}".format(valuegroup)) correct = "The letter in the middle is " + sorted(valuegroup)[1] self.assertTrue(len(output) == 1, "Instead of one row, your program's output is in {} rows: {} when input {}".format(len(output), output, format_tuple(valuegroup))) self.assertTrue(output[0].find(correct) > -1, "Output\n{}\ndoes not match with the correct output\n{}\nwhen input is {}". format(output[0], correct, format_tuple(valuegroup))) def test_middle_third(self): values = ["X Z Y", "e a c", "l a f", "b x r"] for letters in values: valuegroup = letters.split(" ") with patch('builtins.input', side_effect = list(valuegroup)): reload_module(self.module) out = get_stdout() output = out.split("\n") self.assertTrue(len(out) > 0, "Your program does not print out anything with input {}".format(valuegroup)) correct = "The letter in the middle is " + sorted(valuegroup)[1] self.assertTrue(len(output) == 1, "Instead of one row, your program's output is in {} rows: {} when input {}".format(len(output), output, format_tuple(valuegroup))) self.assertTrue(output[0].find(correct) > -1, "Output\n{}\ndoes not match with the correct output\n{}\nwhen input is {}". format(output[0], correct, format_tuple(valuegroup))) if __name__ == '__main__': unittest.main()

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py

Python

s3_mysql_backup/test/conftest.py

fogcitymarathoner/s3_mysql_backup

f6e821889abae16381e9a7fa49d24a61ffb28ac2

[ "MIT" ]

null

s3_mysql_backup/test/conftest.py

fogcitymarathoner/s3_mysql_backup

f6e821889abae16381e9a7fa49d24a61ffb28ac2

[ "MIT" ]

null

s3_mysql_backup/test/conftest.py

fogcitymarathoner/s3_mysql_backup

f6e821889abae16381e9a7fa49d24a61ffb28ac2

[ "MIT" ]

null

import sys def pytest_configure(config): sys._called_from_test = True

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a25acf8221a4ea06bfc7806d3eb9c2f8329105e2

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py

Python

PythonIntro/Semana9/__init__.py

DanielGMesquita/StudyPath

0b3d0bb1deac7eb0d1b301edca5e5ed320568f4c

[ "MIT" ]

null

PythonIntro/Semana9/__init__.py

DanielGMesquita/StudyPath

0b3d0bb1deac7eb0d1b301edca5e5ed320568f4c

[ "MIT" ]

null

PythonIntro/Semana9/__init__.py

DanielGMesquita/StudyPath

0b3d0bb1deac7eb0d1b301edca5e5ed320568f4c

[ "MIT" ]

null

from Semana9.COHPIAH import * main()

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py

Python

venv/lib/python3.8/site-packages/pip/_internal/commands/list.py

GiulianaPola/select_repeats

17a0d053d4f874e42cf654dd142168c2ec8fbd11

[ "MIT" ]

2

2022-03-13T01:58:52.000Z

2022-03-31T06:07:54.000Z

venv/lib/python3.8/site-packages/pip/_internal/commands/list.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

19

2021-11-20T04:09:18.000Z

2022-03-23T15:05:55.000Z

venv/lib/python3.8/site-packages/pip/_internal/commands/list.py

DesmoSearch/Desmobot

b70b45df3485351f471080deb5c785c4bc5c4beb

[ "MIT" ]

null

/home/runner/.cache/pip/pool/ad/d5/66/58a0d9b51f773ff41c18ef2e92136656b68dd7107d9d499df3ac6bb0aa

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a266ca0ccaf7d938d56957e06b0125f8deffbed1

56

py

Python

t_1000/render/__init__.py

chao5645/T-1000

99751bcfd79bd94df3667e7311e3b3af2b912505

[ "MIT" ]

111

2019-10-30T01:12:49.000Z

2022-03-10T04:54:43.000Z

t_1000/render/__init__.py

charlesedwards/T-1000

5d88f74ddb2a0d47c3101072d6b9f6971fb2ba26

[ "MIT" ]

16

2019-10-24T15:52:05.000Z

2022-02-05T17:55:02.000Z

t_1000/render/__init__.py

charlesedwards/T-1000

5d88f74ddb2a0d47c3101072d6b9f6971fb2ba26

[ "MIT" ]

33

2019-11-03T14:51:23.000Z

2021-12-02T07:40:25.000Z

from t_1000.render.graph_generator import GraphGenerator

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py

Python

python/ql/test/experimental/library-tests/CallGraph-implicit-init/foo/bar/a.py

vadi2/codeql

a806a4f08696d241ab295a286999251b56a6860c

[ "MIT" ]

4,036

2020-04-29T00:09:57.000Z

2022-03-31T14:16:38.000Z

python/ql/test/experimental/library-tests/CallGraph-implicit-init/foo/bar/a.py

vadi2/codeql

a806a4f08696d241ab295a286999251b56a6860c

[ "MIT" ]

2,970

2020-04-28T17:24:18.000Z

2022-03-31T22:40:46.000Z

python/ql/test/experimental/library-tests/CallGraph-implicit-init/foo/bar/a.py

ScriptBox99/github-codeql

2ecf0d3264db8fb4904b2056964da469372a235c

[ "MIT" ]

794

2020-04-29T00:28:25.000Z

2022-03-30T08:21:46.000Z

# name:afunc def afunc(): print("afunc called") return 1

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py

Python

tortfunc/exceptions.py

KLMatlock/tort

09f940cedd0a6ab3df619577a28528ead87468e5

[ "MIT" ]

null

tortfunc/exceptions.py

KLMatlock/tort

09f940cedd0a6ab3df619577a28528ead87468e5

[ "MIT" ]

null

tortfunc/exceptions.py

KLMatlock/tort

09f940cedd0a6ab3df619577a28528ead87468e5

[ "MIT" ]

null

class FunctionTimeOut(Exception): pass

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py

Python

trapper/data/__init__.py

obss/trapper

40e6fc25a2d8c1ece8bf006c362a9cb163c4355c

[ "MIT" ]

36

2021-11-01T19:29:31.000Z

2022-02-25T15:19:08.000Z

trapper/data/__init__.py

obss/trapper

40e6fc25a2d8c1ece8bf006c362a9cb163c4355c

[ "MIT" ]

7

2021-11-01T14:33:21.000Z

2022-03-22T09:01:36.000Z

trapper/data/__init__.py

obss/trapper

40e6fc25a2d8c1ece8bf006c362a9cb163c4355c

[ "MIT" ]

4

2021-11-30T00:34:20.000Z

2022-03-31T21:06:30.000Z

from trapper.data.data_adapters import DataAdapter, DataAdapterForQuestionAnswering from trapper.data.data_collator import DataCollator, InputBatch, InputBatchTensor from trapper.data.data_processors import DataProcessor, SquadDataProcessor from trapper.data.data_processors.data_processor import IndexedInstance from trapper.data.dataset_loader import DatasetLoader from trapper.data.dataset_reader import DatasetReader from trapper.data.label_mapper import LabelMapper from trapper.data.tokenizers import TokenizerWrapper

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py

Python

lightnlp/tg/mt/__init__.py

CNLPT/lightNLP

c7f128422ba5b16f514bb294145cb3b562e95829

[ "Apache-2.0" ]

889

2019-03-11T00:58:46.000Z

2022-03-27T07:12:06.000Z

lightnlp/tg/mt/__init__.py

CNLPT/lightNLP

c7f128422ba5b16f514bb294145cb3b562e95829

[ "Apache-2.0" ]

14

2019-03-25T09:21:38.000Z

2020-12-28T11:41:55.000Z

lightnlp/tg/mt/__init__.py

CNLPT/lightNLP

c7f128422ba5b16f514bb294145cb3b562e95829

[ "Apache-2.0" ]

237

2019-03-19T08:30:17.000Z

2022-03-14T03:38:30.000Z

# machine translation，机器翻译

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py

Python

txpipe/mapping/__init__.py

Lhior/TXPipe

58fd7612326779d4c1b0e499157dddc9e3b524c0

[ "BSD-3-Clause" ]

9

2018-03-17T02:07:52.000Z

2022-02-23T20:25:48.000Z

txpipe/mapping/__init__.py

Lhior/TXPipe

58fd7612326779d4c1b0e499157dddc9e3b524c0

[ "BSD-3-Clause" ]

162

2018-03-06T16:18:23.000Z

2022-03-21T18:11:37.000Z

txpipe/mapping/__init__.py

Lhior/TXPipe

58fd7612326779d4c1b0e499157dddc9e3b524c0

[ "BSD-3-Clause" ]

7

2018-07-26T11:49:46.000Z

2022-02-23T22:14:48.000Z

from .dr1 import DepthMapperDR1, BrightObjectMapper from .basic_maps import Mapper, FlagMapper

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py

Python

Quadratic.py

ghzmdr/Algorithms

7c716b110a4b5424c50ea89ef8b0037f27940aa2

[ "Unlicense" ]

null

Quadratic.py

ghzmdr/Algorithms

7c716b110a4b5424c50ea89ef8b0037f27940aa2

[ "Unlicense" ]

null

Quadratic.py

ghzmdr/Algorithms

7c716b110a4b5424c50ea89ef8b0037f27940aa2

[ "Unlicense" ]

null

def s(a, b): res = 0 for i in xrange(1,a): res += i**b return res def t(a, b): return a**(b+1)

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py

Python

process_metrics/qc_validation_result.py

tmooney/qc-metric-aggregator

12e81a41fa982c5997b0c7bd146f393d46f0eaab

[ "MIT" ]

1

2020-03-25T15:38:27.000Z

process_metrics/qc_validation_result.py

genome/qc-metric-aggregator

75ce5cb1aa3fd9021a9547fc17d2ef8760cbc921

[ "MIT" ]

null

process_metrics/qc_validation_result.py

genome/qc-metric-aggregator

75ce5cb1aa3fd9021a9547fc17d2ef8760cbc921

[ "MIT" ]

null

class QcValidationResult: def __init__(self, value: str, passed_qc: bool): self.value = value self.passed_qc = passed_qc

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null

0

1

0

1

0

5

0c64a1eee4e0b9d1cdd54dc7c16049b4200b93c4

105

py

Python

importers/__init__.py

bcaldwell/ynab-importers

c7dc2c437cd241c76288498be4b1425c35c865a7

[ "MIT" ]

null

importers/__init__.py

bcaldwell/ynab-importers

c7dc2c437cd241c76288498be4b1425c35c865a7

[ "MIT" ]

5

2021-01-11T02:40:49.000Z

2021-10-12T00:58:08.000Z

importers/__init__.py

bcaldwell/ynab-importers

c7dc2c437cd241c76288498be4b1425c35c865a7

[ "MIT" ]

null

from .brim import BrimImporter from .splitwise import SplitwiseImporter from .plaid import PlaidImporter

26.25

40

0.857143

12

105

7.5

0.666667

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0.114286

105

3

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1

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null

0

1

0

1

0

1

0

5

a78f8be90217089da00e38427dcd13b4ca1494be

130

py

Python

keras_secure_image/__init__.py

krantirk/-keras-secure-image

b29f0af5cc7a649199aba3d59b49ab80270185a1

[ "MIT" ]

17

2019-05-06T20:58:36.000Z

2021-11-22T12:15:39.000Z

keras_secure_image/__init__.py

krantirk/-keras-secure-image

b29f0af5cc7a649199aba3d59b49ab80270185a1

[ "MIT" ]

null

keras_secure_image/__init__.py

krantirk/-keras-secure-image

b29f0af5cc7a649199aba3d59b49ab80270185a1

[ "MIT" ]

8

2019-06-05T18:52:30.000Z

2021-02-19T05:22:49.000Z

from keras_secure_image.secure_image import encrypt_directory, decrypt_img, transform_img, transform, rot, \ perform_rotation

43.333333

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0.838462

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130

6

0.764706

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true

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null

0

1

0

1

0

5

a7bf02c893eaf45a32af3a9dbd147322da5ab3ec

124

py

Python

results/admin.py

skyshy0707/diehard

a6aaf47c728939606158f8d124d6edd7e12ef761

[ "BSL-1.0" ]

null

results/admin.py

skyshy0707/diehard

a6aaf47c728939606158f8d124d6edd7e12ef761

[ "BSL-1.0" ]

null

results/admin.py

skyshy0707/diehard

a6aaf47c728939606158f8d124d6edd7e12ef761

[ "BSL-1.0" ]

null

from django.contrib import admin # Register your models here. from .models import Results admin.site.register(Results)

12.4

32

0.782258

17

124

5.705882

0.647059

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0.153226

124

9

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0.92381

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null

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0

1

0

1

0

5

a7cc12cd2848f3e41fb9666d9b4fb89ebfbe2641

213

py

Python

Day14/Remove consecutive duplicate words.py

ColdTears619/My100DaysOfCode

aa33d721a0fa71b2e2c5ebf5b22594f40e443f68

[ "MIT" ]

1

2021-12-25T16:18:42.000Z

Day14/Remove consecutive duplicate words.py

ColdTears619/My100DaysOfCode

aa33d721a0fa71b2e2c5ebf5b22594f40e443f68

[ "MIT" ]

null

Day14/Remove consecutive duplicate words.py

ColdTears619/My100DaysOfCode

aa33d721a0fa71b2e2c5ebf5b22594f40e443f68

[ "MIT" ]

null

def remove_consecutive_duplicates(s): words = s.split() return " ".join(set(words)) print(remove_consecutive_duplicates('alpha beta beta gamma gamma gamma delta alpha beta beta gamma gamma gamma delta'))

35.5

119

0.760563

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213

5.266667

0.5

0.253165

0.341772

0.227848

0.417722

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0.14554

213

5

120

42.6

0.868132

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0.25

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0

null

1

0

1

0

null

0

1

0

5

a7ce4991e13936e0be57dcb186299ebc4d64dbe0

68

py

Python

common/validators.py

nmfzone/django-modern-boilerplate

6c752c5246b4ea14caa06792c60e9c1802a606e4

[ "MIT" ]

2

2020-07-14T05:10:17.000Z

2021-04-07T00:17:11.000Z

common/validators.py

nmfzone/django-modern-boilerplate

6c752c5246b4ea14caa06792c60e9c1802a606e4

[ "MIT" ]

null

common/validators.py

nmfzone/django-modern-boilerplate

6c752c5246b4ea14caa06792c60e9c1802a606e4

[ "MIT" ]

null

# @TODO # Reference: https://github.com/romain-li/django-validator

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3

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22.666667

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1

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1

0

null

0

1

0

1

0

5

a7dd2d4841db45da2e6ee74b213be152ecadc001

6,094

py

Python

tools/common/adapter_utils.py

tribhuvanesh/visual_redactions

93fac7b5cd9fc7e81341380408df6a8a4f8f6189

[ "Apache-2.0" ]

14

2018-07-03T09:30:02.000Z

2020-12-23T05:46:11.000Z

tools/common/adapter_utils.py

tribhuvanesh/visual_redactions

93fac7b5cd9fc7e81341380408df6a8a4f8f6189

[ "Apache-2.0" ]

2

2018-07-03T13:42:33.000Z

2018-09-15T13:17:17.000Z

tools/common/adapter_utils.py

tribhuvanesh/visual_redactions

93fac7b5cd9fc7e81341380408df6a8a4f8f6189

[ "Apache-2.0" ]

9

2018-07-25T02:47:43.000Z

2022-02-17T13:28:49.000Z

#!/usr/bin/python """This is a short description. Replace this with a more detailed description of what this file contains. """ import json import time import pickle import sys import csv import argparse import os import os.path as osp import shutil import numpy as np import matplotlib.pyplot as plt from PIL import Image from scipy.misc import imread from privacy_filters.tools.common.utils import load_attributes __author__ = "Tribhuvanesh Orekondy" __maintainer__ = "Tribhuvanesh Orekondy" __email__ = "orekondy@mpi-inf.mpg.de" __status__ = "Development" def prev_to_new_attr_vec(attr_vec_v1, attr_id_to_idx_v1=None, attr_id_to_idx_v2=None): if attr_id_to_idx_v1 is None: _, attr_id_to_idx_v1 = load_attributes(v1_attributes=True) idx_to_attr_id_v1 = {v: k for k, v in attr_id_to_idx_v1.iteritems()} if attr_id_to_idx_v2 is None: _, attr_id_to_idx_v2 = load_attributes() idx_to_attr_id_v2 = {v: k for k, v in attr_id_to_idx_v2.iteritems()} n_attr_v1 = len(idx_to_attr_id_v1) n_attr_v2 = len(idx_to_attr_id_v2) attr_vec_v2 = np.zeros(n_attr_v2) attr_vec_v2[:n_attr_v1] = attr_vec_v1 # New attributes have been *appended* to the previous list # a105_face_all = a9_face_complete + a10_face_partial attr_vec_v2[attr_id_to_idx_v2['a105_face_all']] = max(attr_vec_v1[attr_id_to_idx_v1['a9_face_complete']], attr_vec_v1[attr_id_to_idx_v1['a10_face_partial']]) # a106_address_current_all = a74_address_current_complete + a75_address_current_partial attr_vec_v2[attr_id_to_idx_v2['a106_address_current_all']] = max( attr_vec_v1[attr_id_to_idx_v1['a74_address_current_complete']], attr_vec_v1[attr_id_to_idx_v1['a75_address_current_partial']]) # a107_address_home_all = a78_address_home_complete + a79_address_home_partial attr_vec_v2[attr_id_to_idx_v2['a107_address_home_all']] = max( attr_vec_v1[attr_id_to_idx_v1['a78_address_home_complete']], attr_vec_v1[attr_id_to_idx_v1['a79_address_home_partial']]) # a108_license_plate_all = a103_license_plate_complete + a104_license_plate_partial attr_vec_v2[attr_id_to_idx_v2['a108_license_plate_all']] = max( attr_vec_v1[attr_id_to_idx_v1['a103_license_plate_complete']], attr_vec_v1[attr_id_to_idx_v1['a104_license_plate_partial']]) # a109_person_body = a1_age_approx + a2_weight_approx + a3_height_approx + a4_gender + a16_race + a17_color attr_vec_v2[attr_id_to_idx_v2['a109_person_body']] = max( attr_vec_v1[attr_id_to_idx_v1['a1_age_approx']], attr_vec_v1[attr_id_to_idx_v1['a2_weight_approx']], attr_vec_v1[attr_id_to_idx_v1['a3_height_approx']], attr_vec_v1[attr_id_to_idx_v1['a4_gender']], attr_vec_v1[attr_id_to_idx_v1['a16_race']], attr_vec_v1[attr_id_to_idx_v1['a17_color']]) # a110_nudity_all = a12_semi_nudity + a13_full_nudity attr_vec_v2[attr_id_to_idx_v2['a110_nudity_all']] = max(attr_vec_v1[attr_id_to_idx_v1['a12_semi_nudity']], attr_vec_v1[attr_id_to_idx_v1['a13_full_nudity']]) return attr_vec_v2 def prev_to_new_masks(masks_v1, attr_id_to_idx_v1=None, attr_id_to_idx_v2=None): """ Infer and append new masks :param masks: a 68 x X x Y matrix :param attr_id_to_idx_v1: :param attr_id_to_idx_v2: :return: """ if attr_id_to_idx_v1 is None: _, attr_id_to_idx_v1 = load_attributes(v1_attributes=True) idx_to_attr_id_v1 = {v: k for k, v in attr_id_to_idx_v1.iteritems()} if attr_id_to_idx_v2 is None: _, attr_id_to_idx_v2 = load_attributes() idx_to_attr_id_v2 = {v: k for k, v in attr_id_to_idx_v2.iteritems()} n_attr_v1 = len(idx_to_attr_id_v1) n_attr_v2 = len(idx_to_attr_id_v2) n_new_attr = n_attr_v2 - n_attr_v1 masks_v2 = np.concatenate((masks_v1, np.zeros((n_new_attr, masks_v1.shape[1], masks_v1.shape[2])))) # a105_face_all = a9_face_complete + a10_face_partial masks_v2[attr_id_to_idx_v2['a105_face_all']] = np.maximum(masks_v1[attr_id_to_idx_v1['a9_face_complete']], masks_v1[attr_id_to_idx_v1['a10_face_partial']]) # a106_address_current_all = a74_address_current_complete + a75_address_current_partial masks_v2[attr_id_to_idx_v2['a106_address_current_all']] = np.maximum( masks_v1[attr_id_to_idx_v1['a74_address_current_complete']], masks_v1[attr_id_to_idx_v1['a75_address_current_partial']]) # a107_address_home_all = a78_address_home_complete + a79_address_home_partial masks_v2[attr_id_to_idx_v2['a107_address_home_all']] = np.maximum( masks_v1[attr_id_to_idx_v1['a78_address_home_complete']], masks_v1[attr_id_to_idx_v1['a79_address_home_partial']]) # a108_license_plate_all = a103_license_plate_complete + a104_license_plate_partial masks_v2[attr_id_to_idx_v2['a108_license_plate_all']] = np.maximum( masks_v1[attr_id_to_idx_v1['a103_license_plate_complete']], masks_v1[attr_id_to_idx_v1['a104_license_plate_partial']]) # a109_person_body = a1_age_approx + a2_weight_approx + a3_height_approx + a4_gender + a16_race + a17_color # np.maximum() allows comparison only between two arrays. So, iteratively cover required attributes # and write them in-place masks_v2[attr_id_to_idx_v2['a109_person_body']] = masks_v1[attr_id_to_idx_v1['a1_age_approx']].copy() for old_attr_id in ['a2_weight_approx', 'a3_height_approx', 'a4_gender', 'a16_race', 'a17_color']: np.maximum(masks_v2[attr_id_to_idx_v2['a109_person_body']], masks_v1[attr_id_to_idx_v1[old_attr_id]], out=masks_v2[attr_id_to_idx_v2['a109_person_body']]) # a110_nudity_all = a12_semi_nudity + a13_full_nudity masks_v2[attr_id_to_idx_v2['a110_nudity_all']] = np.maximum(masks_v1[attr_id_to_idx_v1['a12_semi_nudity']], masks_v1[attr_id_to_idx_v1['a13_full_nudity']]) return masks_v2

45.477612

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1

0

1

0

null

0

5

ac13de1fd0fa3bf90796ca79e02386b9ea746aa3

4,183

py

Python

test_app.py

gaborsomogyi/ldssa-capstone

342befd9113c117ed4cb10b6a76da26ae7697bb4

[ "MIT" ]

null

test_app.py

gaborsomogyi/ldssa-capstone

342befd9113c117ed4cb10b6a76da26ae7697bb4

[ "MIT" ]

null

test_app.py

gaborsomogyi/ldssa-capstone

342befd9113c117ed4cb10b6a76da26ae7697bb4

[ "MIT" ]

null

import os import tempfile import numpy as np import pytest from app import create_app @pytest.fixture def app(): """Create and configure a new app instance for each test.""" # create a temporary file to isolate the database for each test db_fd, db_path = tempfile.mkstemp() # create the app with common test config app = create_app({ 'TESTING': True, 'DATABASE': db_path, }) yield app # close and remove the temporary database os.close(db_fd) os.unlink(db_path) @pytest.fixture def client(app): """A test client for the app.""" return app.test_client() def test_empty_db_contents(client): with client as c: rv = c.get('/list-db-contents') print(rv.response) assert rv.get_json() == [] def test_new_observation(client): with client as c: rv = c.post('/predict', json={"id": 0, "observation": {"m_or_f": "m", "person_attributes": "driving", "seat": "front_left", "other_person_location": "N/A", "other_factor_1": "N/A", "other_factor_2": "N/A", "other_factor_3": "N/A", "age_in_years": "50" }}) resp = rv.get_json() # the return json only includes the probability assert list(resp.keys()) == ['proba'] # probability is a float between 0 and 1 assert resp['proba'] >= 0 and resp['proba'] <= 1 and type(resp['proba']) == float def test_duplicate_observation(client): with client as c: rv = c.post('/predict', json={"id": 0, "observation": {"m_or_f": "m", "person_attributes": "driving", "seat": "front_left", "other_person_location": "N/A", "other_factor_1": "N/A", "other_factor_2": "N/A", "other_factor_3": "N/A", "age_in_years": "50" }}) resp = rv.get_json() # the return json only includes the probability assert list(resp.keys()) == ['proba'] # probability is a float between 0 and 1 assert resp['proba'] >= 0 and resp['proba'] <= 1 and type(resp['proba']) == float def test_na_observation(client): with client as c: rv = c.post('/predict', json={"id": 12, "observation": {"m_or_f": "m", "person_attributes": np.nan, "seat": "front_left", "other_person_location": "N/A", "other_factor_1": "N/A", "other_factor_2": "N/A", "other_factor_3": np.nan, "age_in_years": np.nan }}) resp = rv.get_json() # the return json only includes the probability assert list(resp.keys()) == ['proba'] # probability is a float between 0 and 1 assert resp['proba'] >= 0 and resp['proba'] <= 1 and type(resp['proba']) == float def test_reordered_observation(client): with client as c: rv = c.post('/predict', json={"id": 12, "observation": {"other_factor_3": np.nan, "person_attributes": np.nan, "seat": "front_left", "other_person_location": "N/A", "other_factor_1": "N/A", "other_factor_2": "N/A", "age_in_years": np.nan, "m_or_f": "m" }}) resp = rv.get_json() # the return json only includes the probability assert list(resp.keys()) == ['proba'] # probability is a float between 0 and 1 assert resp['proba'] >= 0 and resp['proba'] <= 1 and type(resp['proba']) == float def test_erroneous_observation(client): with client as c: rv = c.post('/predict', json={"id": 12, "observation": {"m_or_f": "m", "person_attributes": np.nan, "seat": "front_left", "other_person_location": "N/A", "other_factor_1": "N/A", "other_factor_2": "N/A", "other_factor_3": np.nan, "age_in_years": 'NA' }}) resp = rv.get_json() # the return json only includes the probability assert list(resp.keys()) == ['proba'] # probability is a float between 0 and 1 assert resp['proba'] >= 0 and resp['proba'] <= 1 and type(resp['proba']) == float

42.252525

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null

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null

0

5

ac2a0e6e8fd3296cc3e831f9a61c1dd81d9cf458

184

py

Python

nni/tools/jupyter_extension/__init__.py

LikeJulia/nni

611ed639bb2ecd1db5a0241833c0d0a1e7812b1d

[ "MIT" ]

2,305

2018-09-07T12:42:26.000Z

2019-05-06T20:14:24.000Z

nni/tools/jupyter_extension/__init__.py

LikeJulia/nni

611ed639bb2ecd1db5a0241833c0d0a1e7812b1d

[ "MIT" ]

379

2018-09-10T10:19:50.000Z

2019-05-06T18:04:46.000Z

nni/tools/jupyter_extension/__init__.py

LikeJulia/nni

611ed639bb2ecd1db5a0241833c0d0a1e7812b1d

[ "MIT" ]

314

2018-09-08T05:36:08.000Z

2019-05-06T08:48:51.000Z

# Copyright (c) Microsoft Corporation. # Licensed under the MIT license. from . import proxy load_jupyter_server_extension = proxy.setup _load_jupyter_server_extension = proxy.setup

23

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1

0

1

0

null

0

1

0

5

ac2f9482cb809d7170fecea89c6daa8114655590

142

py

Python

tardis/admin.py

ptevans/django-tardis

0e094328f087089ce312d5bae53d9e6135633577

[ "MIT" ]

1

2016-05-29T20:41:39.000Z

tardis/admin.py

ptevans/django-tardis

0e094328f087089ce312d5bae53d9e6135633577

[ "MIT" ]

null

tardis/admin.py

ptevans/django-tardis

0e094328f087089ce312d5bae53d9e6135633577

[ "MIT" ]

null

from django.contrib import admin # Register your models here. from tardis import models admin.site.register(models.Trip, admin.ModelAdmin)

17.75

50

0.802817

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5.7

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1

0

1

0

5

ac59b962cc206eecebbe1e74a0c696f68b74bfa7

57

py

Python

homework/4-Glow/a.py

Penchekrak/DeepGenerativeModels

7ee829682e8ed51bc637e2c6def0b9f810f384bc

[ "MIT" ]

null

homework/4-Glow/a.py

Penchekrak/DeepGenerativeModels

7ee829682e8ed51bc637e2c6def0b9f810f384bc

[ "MIT" ]

null

homework/4-Glow/a.py

Penchekrak/DeepGenerativeModels

7ee829682e8ed51bc637e2c6def0b9f810f384bc

[ "MIT" ]

null

from b import b_func def a_func(): b_func() a_func()

11.4

20

0.666667

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57

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py

Python

web/adminsite/__init__.py

ralfkret/hvz

842c25d58fb3c30060080efcfa8b3d183b78e2ab

[ "MIT" ]

1

2019-07-30T14:39:43.000Z

web/adminsite/__init__.py

ralfkret/hvz

842c25d58fb3c30060080efcfa8b3d183b78e2ab

[ "MIT" ]

11

2019-07-31T13:40:30.000Z

2019-08-07T21:54:52.000Z

web/adminsite/__init__.py

ralfkret/hvz

842c25d58fb3c30060080efcfa8b3d183b78e2ab

[ "MIT" ]

null

from flask import Blueprint admin = Blueprint('adminsite', __name__, template_folder='adminsite_templates') from . import views

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Python

EPro-PnP-Det/epropnp_det/core/__init__.py

Lakonik/EPro-PnP

931df847190ce10eddd1dc3e3168ce1a2f295ffa

[ "Apache-2.0" ]

19

2022-03-21T10:22:24.000Z

2022-03-30T15:43:46.000Z

EPro-PnP-Det/epropnp_det/core/__init__.py

Lakonik/EPro-PnP

931df847190ce10eddd1dc3e3168ce1a2f295ffa

[ "Apache-2.0" ]

null

EPro-PnP-Det/epropnp_det/core/__init__.py

Lakonik/EPro-PnP

931df847190ce10eddd1dc3e3168ce1a2f295ffa

[ "Apache-2.0" ]

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2022-03-26T08:08:24.000Z

2022-03-30T11:17:11.000Z

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py

Python

modi/module/input_module/input_module.py

drecali/pymodi

8edf7269104efca48f65e5a118edc9fd136d6217

[ "MIT" ]

1

2020-08-20T01:54:35.000Z

modi/module/input_module/input_module.py

drecali/pymodi

8edf7269104efca48f65e5a118edc9fd136d6217

[ "MIT" ]

33

2020-07-30T02:23:10.000Z

2020-08-05T01:58:53.000Z

modi/module/input_module/input_module.py

drecali/pymodi

8edf7269104efca48f65e5a118edc9fd136d6217

[ "MIT" ]

null

from modi.module.module import Module class InputModule(Module): def __init__(self, id_, uuid, msg_send_q): super().__init__(id_, uuid, msg_send_q)

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ac84f22d5793bd57c8312ce557379c353eb8e502

160

py

Python

blog/managers.py

LD31D/django_blog

df4f336fa9d58aff87abb32c0a9f7791b8fc0eeb

[ "MIT" ]

null

blog/managers.py

LD31D/django_blog

df4f336fa9d58aff87abb32c0a9f7791b8fc0eeb

[ "MIT" ]

1

2020-12-04T06:59:00.000Z

2020-12-04T20:17:58.000Z

blog/managers.py

LD31D/django_blog

df4f336fa9d58aff87abb32c0a9f7791b8fc0eeb

[ "MIT" ]

null

from django.db import models class WasPublishedManager(models.Manager): def get_queryset(self): return super().get_queryset().filter(status='published')

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3bd205d0cae413de6d0e80c8134366fa6e6006b9

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py

Python

tf2onnx/optimizer/__init__.py

duli2012/tensorflow-onnx

32f7264e81fa69ebc36c204c7a606e2e8be90d80

[ "MIT" ]

null

tf2onnx/optimizer/__init__.py

duli2012/tensorflow-onnx

32f7264e81fa69ebc36c204c7a606e2e8be90d80

[ "MIT" ]

null

tf2onnx/optimizer/__init__.py

duli2012/tensorflow-onnx

32f7264e81fa69ebc36c204c7a606e2e8be90d80

[ "MIT" ]

null

# Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT license. from __future__ import division from __future__ import print_function from __future__ import unicode_literals __all__ = ["transpose_optimizer"]

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