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Merge remote-tracking branch 'upstream/master'

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Wojciech Łukasik 2020-05-19 13:25:53 +02:00
commit 4853b973b6
14 changed files with 488 additions and 8 deletions
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2
.idea/misc.xml
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@ -3,5 +3,5 @@
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98
.idea/workspace.xml
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@ -2,12 +2,19 @@
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=======
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>>>>>>> upstream/master
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<<<<<<< HEAD
<configuration name="main" type="PythonConfigurationType" factoryName="Python"> <configuration name="main" type="PythonConfigurationType" factoryName="Python">
=======
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>>>>>>> upstream/master
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@ -95,11 +137,22 @@
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<<<<<<< HEAD
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>>>>>>> upstream/master
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>>>>>>> upstream/master
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<<<<<<< HEAD
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=======
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>>>>>>> upstream/master
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>>>>>>> upstream/master
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<<<<<<< HEAD
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>>>>>>> upstream/master
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>>>>>>> upstream/master
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<option name="LAST_COMMIT_MESSAGE" value="changed CreateDataSweets to lowercase" />
</component>
<component name="com.intellij.coverage.CoverageDataManagerImpl">
<<<<<<< HEAD
<SUITE FILE_PATH="coverage/AL_2020$decision_tree.coverage" NAME="main Coverage Results" MODIFIED="1589815629629" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
<SUITE FILE_PATH="coverage/wozek$board.coverage" NAME="board Coverage Results" MODIFIED="1589210811600" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
<SUITE FILE_PATH="coverage/AL_2020$main.coverage" NAME="main Coverage Results" MODIFIED="1589729320403" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
=======
<SUITE FILE_PATH="coverage/AL_2020$main.coverage" NAME="main Coverage Results" MODIFIED="1589754127142" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
<SUITE FILE_PATH="coverage/AL_2020$feature_hashing.coverage" NAME="feature_hashing Coverage Results" MODIFIED="1589823737949" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$/Assiging" />
>>>>>>> upstream/master
<SUITE FILE_PATH="coverage/wozek$main.coverage" NAME="main Coverage Results" MODIFIED="1589556038208" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
<SUITE FILE_PATH="coverage/wozek$board.coverage" NAME="board Coverage Results" MODIFIED="1589210811600" SOURCE_PROVIDER="com.intellij.coverage.DefaultCoverageFileProvider" RUNNER="coverage.py" COVERAGE_BY_TEST_ENABLED="true" COVERAGE_TRACING_ENABLED="false" WORKING_DIRECTORY="$PROJECT_DIR$" />
</component>
</project>

2
.idea/wozek.iml
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@ -4,7 +4,7 @@
<content url="file://$MODULE_DIR$"> <content url="file://$MODULE_DIR$">
<excludeFolder url="file://$MODULE_DIR$/venv" /> <excludeFolder url="file://$MODULE_DIR$/venv" />
</content> </content>
<orderEntry type="inheritedJdk" /> <orderEntry type="jdk" jdkName="Python 3.7 (AL-2020)" jdkType="Python SDK" />
<orderEntry type="sourceFolder" forTests="false" /> <orderEntry type="sourceFolder" forTests="false" />
</component> </component>
<component name="TestRunnerService"> <component name="TestRunnerService">

5
Assiging/feature_hashing.py Normal file
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@ -0,0 +1,5 @@
from sklearn.feature_extraction import FeatureHasher
from data import create_data_dict
data = create_data_dict()
print(data)

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__pycache__/shelf.cpython-37.pyc Normal file
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29
data.py
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@ -1,7 +1,7 @@
from sweets import Sweets from sweets import Sweets
def createDataSweets(): def create_data_sweets():
allProducts = [] allProducts = []
sweet = Sweets('Mars', 'czekoladowy', 'baton', 'sredni', 2.49) sweet = Sweets('Mars', 'czekoladowy', 'baton', 'sredni', 2.49)
@ -58,3 +58,30 @@ learning_data = [
['black', 'jar', 250, 'medium', 'Blackberry Jam'], ['black', 'jar', 250, 'medium', 'Blackberry Jam'],
['orange', 'jar', 250, 'medium', 'Peach Jam'], ['orange', 'jar', 250, 'medium', 'Peach Jam'],
] ]
def create_data_dict():
products_as_dict = []
sweet = Sweets('Mars', 'czekoladowy', 'baton', 'sredni', 2.49)
products_as_dict.append(vars(sweet))
sweet = Sweets('Mars', 'czekoladowy', 'czekolada', 'duzy', 4.99)
products_as_dict.append(vars(sweet))
sweet = Sweets('Mars', 'czekoladowy', 'czekolada', 'ogromny', 11.26)
products_as_dict.append(vars(sweet))
sweet = Sweets('M&M', 'czekoladowy', 'czekolada', 'duzy', 3.99)
products_as_dict.append(vars(sweet))
sweet = Sweets('M&M', 'czekoladowy', 'baton', 'sredni', 2.89)
products_as_dict.append(vars(sweet))
sweet = Sweets('Nestle', 'bananowy', 'landrynka', 'maly', 0.39)
products_as_dict.append(vars(sweet))
sweet = Sweets('Nestle', 'truskawkowy', 'landrynka', 'maly', 0.39)
products_as_dict.append(vars(sweet))
sweet = Sweets('Nestle', 'cola', 'landrynka', 'maly', 0.49)
products_as_dict.append(vars(sweet))
sweet = Sweets('Wedel', 'czekoladowy', 'baton', 'sredni', 1.99)
products_as_dict.append(vars(sweet))
sweet = Sweets('Maoam', 'truskawkowy', 'guma', 'maly', 0.25)
products_as_dict.append(vars(sweet))
return products_as_dict

91
data.py.orig Normal file
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@ -0,0 +1,91 @@
from sweets import Sweets
def create_data_sweets():
allProducts = []
sweet = Sweets('Mars', 'czekoladowy', 'baton', 'sredni', 2.49)
allProducts.append(sweet)
sweet = Sweets('Mars', 'czekoladowy', 'czekolada', 'duzy', 4.99)
allProducts.append(sweet)
sweet = Sweets('Mars', 'czekoladowy', 'czekolada', 'ogromny', 11.26)
allProducts.append(sweet)
sweet = Sweets('M&M', 'czekoladowy', 'czekolada', 'duzy', 3.99)
allProducts.append(sweet)
sweet = Sweets('M&M', 'czekoladowy', 'baton', 'sredni', 2.89)
allProducts.append(sweet)
sweet = Sweets('Nestle', 'bananowy', 'landrynka', 'maly', 0.39)
allProducts.append(sweet)
sweet = Sweets('Nestle', 'truskawkowy', 'landrynka', 'maly', 0.39)
allProducts.append(sweet)
sweet = Sweets('Nestle', 'cola', 'landrynka', 'maly', 0.49)
allProducts.append(sweet)
sweet = Sweets('Wedel', 'czekoladowy', 'baton', 'sredni', 1.99)
allProducts.append(sweet)
sweet = Sweets('Maoam', 'truskawkowy', 'guma', 'maly', 0.25)
allProducts.append(sweet)
<<<<<<< HEAD
return allProducts
learning_data = [
# kolor, kształt, waga, rozmiar, nazwa
['black', 'rectangle', 51, 'small', 'Mars'],
['gold', 'pack', 100, 'big', 'Haribo'],
['purple', 'rectangle', 100, 'big', 'Milka'],
['brown', 'pack', 45, 'small', 'M&M'],
['blue', 'rectangle', 50, 'medium', 'Bounty'],
['blue', 'square', 40, 'small', 'Knoppers'],
['blue', 'rectangle', 35, 'small', 'Milky-way'],
['gold', 'rectangle', 40, 'medium', 'Twix'],
['gold', 'rectangle', 50, 'medium', 'Prince-polo'],
['brown', 'rectangle', 55, 'medium', 'Snickers'],
['brown', 'rectangle', 45, 'medium', 'Lion'],
['white', 'rectangle', 40, 'medium', 'Kinder-bueno'],
['red', 'rectangle', 50, 'medium', 'Kit-kat'],
['blue', 'rectangle', 115, 'big', 'Wedel'],
['white', 'rectangle', 15, 'small', 'Krowka'],
['red', 'pack', 70, 'medium', 'Skittles'],
['orange', 'rectangle', 45, 'medium', 'Reeses'],
['blue', 'rectangle', 55, 'medium', 'Oreo'],
['gold', 'rectangle', 120, 'big', 'Ferrero-rocher'],
['white', 'rectangle', 120, 'big', 'Rafaello'],
['white', 'jar', 600, 'big', 'Nutella'],
['white', 'rectangle', 25, 'small', 'Duplo'],
['brown', 'jar', 500, 'big', 'GoOn'],
['brown', 'jar', 470, 'big', 'Active Orzechowe'],
['red', 'jar', 250, 'medium', 'Strawberry Jam'],
['black', 'jar', 250, 'medium', 'Blackberry Jam'],
['orange', 'jar', 250, 'medium', 'Peach Jam'],
]
=======
return allProducts
def create_data_dict():
products_as_dict = []
sweet = Sweets('Mars', 'czekoladowy', 'baton', 'sredni', 2.49)
products_as_dict.append(vars(sweet))
sweet = Sweets('Mars', 'czekoladowy', 'czekolada', 'duzy', 4.99)
products_as_dict.append(vars(sweet))
sweet = Sweets('Mars', 'czekoladowy', 'czekolada', 'ogromny', 11.26)
products_as_dict.append(vars(sweet))
sweet = Sweets('M&M', 'czekoladowy', 'czekolada', 'duzy', 3.99)
products_as_dict.append(vars(sweet))
sweet = Sweets('M&M', 'czekoladowy', 'baton', 'sredni', 2.89)
products_as_dict.append(vars(sweet))
sweet = Sweets('Nestle', 'bananowy', 'landrynka', 'maly', 0.39)
products_as_dict.append(vars(sweet))
sweet = Sweets('Nestle', 'truskawkowy', 'landrynka', 'maly', 0.39)
products_as_dict.append(vars(sweet))
sweet = Sweets('Nestle', 'cola', 'landrynka', 'maly', 0.49)
products_as_dict.append(vars(sweet))
sweet = Sweets('Wedel', 'czekoladowy', 'baton', 'sredni', 1.99)
products_as_dict.append(vars(sweet))
sweet = Sweets('Maoam', 'truskawkowy', 'guma', 'maly', 0.25)
products_as_dict.append(vars(sweet))
return products_as_dict
>>>>>>> upstream/master

6
field.py
View File

@ -1,4 +1,5 @@
import pygame import pygame
from shelf import Shelf
class Field: class Field:
@ -14,6 +15,7 @@ class Field:
self.is_occupied_by_agent = is_occupied_by_agent self.is_occupied_by_agent = is_occupied_by_agent
self.cost_of_travel = cost_of_travel self.cost_of_travel = cost_of_travel
self.neighbors = [] self.neighbors = []
self.shelves = []
# Te parametry są potrzebne do algorytmu A* # Te parametry są potrzebne do algorytmu A*
self.g = 0 self.g = 0
@ -45,3 +47,7 @@ class Field:
self.neighbors.append(board[self.y - 1][self.x]) self.neighbors.append(board[self.y - 1][self.x])
if self.y < 9 and board[self.y + 1][self.x].is_shelf == False: if self.y < 9 and board[self.y + 1][self.x].is_shelf == False:
self.neighbors.append(board[self.y + 1][self.x]) self.neighbors.append(board[self.y + 1][self.x])
def addShelf(self):
shelf = Shelf(len(self.shelves)+1)
self.shelves.append(shelf)

2
main.py
View File

@ -62,7 +62,7 @@ def run():
next_step = path.pop() next_step = path.pop()
else: else:
next_step = None next_step = None
print(next_step, path) # print(next_step, path)
for row in board: for row in board:
for field in row: for field in row:
if not field.is_shelf: if not field.is_shelf:

1
route-planning.md
View File

@ -93,7 +93,6 @@ let winner = 0;
let current = openSet[winner]; let current = openSet[winner];
``` ```
### Definicja przyjętej heurystyki ### Definicja przyjętej heurystyki
Jest to szacowana odległość od sprawdzanego pola do celu. Obliczana jest jako `Manhattan Distance`, ponieważ w naszym modelu Agent nie może poruszać się po skosie. Jest to szacowana odległość od sprawdzanego pola do celu. Obliczana jest jako `Manhattan Distance`, ponieważ w naszym modelu Agent nie może poruszać się po skosie.

11
shelf.py Normal file
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@ -0,0 +1,11 @@
import pygame
class Shelf:
def __init__(self, id):
self.id = id
self.products = []
def addProduct(self, sweet):
self.products.append(sweet)