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31134a3dc9
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2fceaa7d95
@ -30,5 +30,3 @@ options:
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- TREE
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rucksack:
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verbose: true
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show:
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- ALL-WEIGHTS
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2
code/python/dist/VERSION
vendored
2
code/python/dist/VERSION
vendored
@ -1 +1 @@
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0.2.0
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0.1.0
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@ -8,7 +8,7 @@ Name | Type | Description | Notes
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**tarjan** | [**AppOptions_tarjan**](AppOptions_tarjan.md) | | [default to null]
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**tsp** | [**AppOptions_tarjan**](AppOptions_tarjan.md) | | [default to null]
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**hirschberg** | [**AppOptions_hirschberg**](AppOptions_hirschberg.md) | | [default to null]
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**rucksack** | [**AppOptions_rucksack**](AppOptions_rucksack.md) | | [optional] [default to null]
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**rucksack** | [**AppOptions_tarjan**](AppOptions_tarjan.md) | | [optional] [default to null]
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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@ -1,10 +0,0 @@
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# AppOptionsRucksack
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**verbose** | [**Boolean**](boolean.md) | | [optional] [default to false]
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**show** | [**List**](EnumRucksackShow.md) | | [optional] [default to []]
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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@ -1,8 +0,0 @@
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# EnumRucksackShow
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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@ -15,13 +15,11 @@ Class | Method | HTTP request | Description
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- [AppOptions](.//Models/AppOptions.md)
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- [AppOptionsHirschberg](.//Models/AppOptionsHirschberg.md)
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- [AppOptionsHirschbergMovePriorities](.//Models/AppOptionsHirschbergMovePriorities.md)
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- [AppOptionsRucksack](.//Models/AppOptionsRucksack.md)
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- [AppOptionsTarjan](.//Models/AppOptionsTarjan.md)
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- [Config](.//Models/Config.md)
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- [EnumHirschbergShow](.//Models/EnumHirschbergShow.md)
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- [EnumHirschbergVerbosity](.//Models/EnumHirschbergVerbosity.md)
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- [EnumLogLevel](.//Models/EnumLogLevel.md)
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- [EnumRucksackShow](.//Models/EnumRucksackShow.md)
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- [Info](.//Models/Info.md)
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@ -1,6 +1,6 @@
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openapi: 3.0.3
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info:
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version: 0.2.0
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version: 0.1.0
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title: Schemata for command instructions
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servers:
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- url: "."
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@ -1,6 +1,6 @@
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openapi: 3.0.3
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info:
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version: 0.2.0
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version: 0.1.0
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title: Schemata for config models
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servers:
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- url: "."
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@ -53,7 +53,7 @@ components:
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- tsp
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- tarjan
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- hirschberg
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- rucksack
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- rucksack-branch-and-bound
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properties:
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log-level:
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$ref: '#/components/schemas/EnumLogLevel'
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@ -117,16 +117,12 @@ components:
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default: []
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rucksack:
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type: object
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required: []
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required:
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- verbose
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properties:
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verbose:
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type: boolean
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default: false
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show:
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type: array
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items:
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$ref: '#/components/schemas/EnumRucksackShow'
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default: []
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# Enum LogLevel
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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@ -152,17 +148,8 @@ components:
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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EnumHirschbergShow:
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description: |-
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Enumeration of display options for Hirschberg
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Enumeration of verbosity options for Hirschberg
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type: string
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enum:
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- TREE
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- ATOMS
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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# Enum Rucksack - display options
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# ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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EnumRucksackShow:
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description: |-
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Enumeration of display options for the Rucksack problem
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type: string
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enum:
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- ALL-WEIGHTS
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@ -1,6 +1,6 @@
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[project]
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name = "uni-leipzig-ads-2-2022"
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version = "0.2.0"
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version = "1.0.0"
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description = "Zusatzcode, um Algorithmen und Datenstrukturen im Kurs ADS2 zu demonstrieren."
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authors = [ "Raj Dahya" ]
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maintainers = [ "raj_mathe" ]
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@ -83,7 +83,7 @@ def rucksack_greedy_algorithm(
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# verbose output hier behandeln (irrelevant für Algorithmus):
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if verbose:
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repr_rucksack = display_rucksack(items=items, costs=costs, values=values, choice=choice);
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repr_rucksack = display_rucksack(items=items[rucksack], costs=costs[rucksack], values=values[rucksack], choice=np.asarray(choice)[rucksack]);
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print('\x1b[1mEingeschätzte Lösung\x1b[0m');
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print('');
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print(f'Mask: [{", ".join(map(str, soln.choice))}]');
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@ -173,7 +173,7 @@ def rucksack_branch_and_bound_algorithm(
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# verbose output hier behandeln (irrelevant für Algorithmus):
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if verbose:
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repr = display_branch_and_bound(values=values, steps=logged_steps);
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repr_rucksack = display_rucksack(items=items, costs=costs, values=values, choice=mask.choice);
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repr_rucksack = display_rucksack(items=items[rucksack], costs=costs[rucksack], values=values[rucksack], choice=np.asarray(mask.choice)[rucksack]);
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print(repr);
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print('');
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print('\x1b[1mLösung\x1b[0m');
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@ -9,8 +9,6 @@ from src.thirdparty.code import *;
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from src.thirdparty.maths import *;
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from src.thirdparty.types import *;
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from src.setup import config;
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from models.generated.config import *;
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from src.models.stacks import *;
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from src.models.rucksack import *;
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@ -64,17 +62,9 @@ def display_rucksack(
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items: np.ndarray,
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costs: np.ndarray,
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values: np.ndarray,
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choice: List[Fraction],
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choice: np.ndarray,
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) -> str:
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show_options = config.OPTIONS.rucksack.show;
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render = lambda r: f'{r:g}';
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choice = np.asarray(choice);
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rucksack = np.where(choice > 0);
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if not(EnumRucksackShow.all_weights in show_options):
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items = items[rucksack];
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costs = costs[rucksack];
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values = values[rucksack];
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choice = choice[rucksack];
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table = pd.DataFrame({
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'items': items.tolist() + ['----', '∑'],
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'nr': list(map(str, choice))
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@ -142,22 +132,15 @@ def display_sum(
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indexes: List[int] = [],
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as_maximum: bool = True,
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) -> str:
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show_options = config.OPTIONS.rucksack.show;
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show_all_weights = (EnumRucksackShow.all_weights in show_options);
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def render(x: Tuple[bool, Fraction, float]):
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b, u, value = x;
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expr = f'\x1b[91m{value:g}\x1b[0m' if b else f'\x1b[0m{value:g}\x1b[0m';
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if not show_all_weights and u == 1:
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return expr;
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return f'\x1b[2m{u}\x1b[0m\x1b[2m·\x1b[0m{expr}';
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expr = f'\x1b[91m{value:g}\x1b[0m' if b else f'\x1b[2m{value:g}\x1b[0m';
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return expr if u == 1 else f'\x1b[4;2m{u}\x1b[0m\x1b[2m·\x1b[0m{expr}';
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parts = [ (i in indexes, u, x) for i, (u, x) in enumerate(zip(choice, values)) ];
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if not (order is None):
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parts = [ parts[j] for j in order ];
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if not show_all_weights:
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parts = list(filter(lambda x: x[1] > 0, parts));
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parts = list(filter(lambda x: x[1] > 0, parts));
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value = sum([ u*x for _, u, x in parts ]);
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expr = '\x1b[2m+\x1b[0m'.join(map(render, parts));
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