Restructured code

test/cv_helper.py

@@ -1,38 +0,0 @@
-"""Contains function to manually test the visual detection of a board"""
-
-import numpy as np
-import cv2
-
-from shenzhen_solitaire.cv import adjustment
-from shenzhen_solitaire.cv import board_parser
-from shenzhen_solitaire import board
-from shenzhen_solitaire.cv.configuration import Configuration
-
-
-def generate() -> None:
-    """Generate a configuration"""
-    with open("pictures/20190809172213_1.jpg", 'rb') as png_file:
-        img_str = png_file.read()
-    nparr = np.frombuffer(img_str, np.uint8)
-    image = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
-
-    generated_config = Configuration.generate(image)
-    generated_config.save('test_config.zip')
-
-
-def parse() -> board.Board:
-    """Parse a configuration"""
-    with open("pictures/20190809172213_1.jpg", 'rb') as png_file:
-        img_str = png_file.read()
-    nparr = np.frombuffer(img_str, np.uint8)
-    image = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
-    # image = cv2.resize(image, (1000, 629))
-
-    loaded_config = Configuration.load('test_config.zip')
-    # loaded_config.field_adjustment = adjustment.adjust_field(image)
-    return board_parser.parse_board(image, loaded_config)
-
-
-if __name__ == "__main__":
-    # generate()
-    parse()

test/test_chain.py

@@ -2,12 +2,12 @@
 import unittest
 
 from shenzhen_solitaire.board import NumberCard, Position
-from shenzhen_solitaire.board_actions import MoveAction, BunkerizeAction, GoalAction, HuaKillAction
-from shenzhen_solitaire import board_possibilities
+from shenzhen_solitaire.solver.board_actions import MoveAction, BunkerizeAction, GoalAction, HuaKillAction
+from shenzhen_solitaire.solver import board_possibilities
 from .boards import TEST_BOARD
 
 
-class ChainTestClass(unittest.TestCase):
+class ChainTest(unittest.TestCase):
     """Tests the chain class"""
 
     def test_sequence(self) -> None:

test/test_cv.py

@@ -0,0 +1,24 @@
+"""Contains function to manually test the visual detection of a board"""
+
+import unittest
+
+import cv2
+import numpy as np
+
+from shenzhen_solitaire import board
+from shenzhen_solitaire.card_detection import adjustment, board_parser
+from shenzhen_solitaire.card_detection.configuration import Configuration
+
+
+class CardDetectionTest(unittest.TestCase):
+    def test_parse(self) -> None:
+        """Parse a configuration"""
+        with open("pictures/20190809172213_1.jpg", "rb") as png_file:
+            img_str = png_file.read()
+        nparr = np.frombuffer(img_str, np.uint8)
+        image = cv2.imdecode(nparr, cv2.IMREAD_COLOR)
+        # image = cv2.resize(image, (1000, 629))
+
+        loaded_config = Configuration.load("test_config.zip")
+        # loaded_config.field_adjustment = adjustment.adjust_field(image)
+        print(board_parser.parse_board(image, loaded_config))

test/test_solver.py

@@ -2,7 +2,7 @@
 import unittest
 import copy
 
-from shenzhen_solitaire import solver
+from shenzhen_solitaire.solver import solver
 
 from .boards import TEST_BOARD
 
@@ -13,7 +13,7 @@ class SolverTest(unittest.TestCase):
     def test_solver(self) -> None:
         """Tests solver"""
         board_copy = copy.deepcopy(TEST_BOARD)
-        board_id = TEST_BOARD.state_identifier  # type: ignore
+        board_id = TEST_BOARD.state_identifier
         board_solution_iterator = solver.solve(TEST_BOARD)
         for _, current_solution in zip(range(1), board_solution_iterator):
             self.assertEqual(board_id, board_copy.state_identifier)