update folder name

Author: nicola-corbellini

README.md

@@ -27,8 +27,8 @@ pip install -e .[dev]
 ## Quick start
 
 ```python
-from core import Smoothness, BilateralSymmetryAnalyzer
-from core.data_models.sliding_window import SlidingWindow
+from pyeyesweb import Smoothness, BilateralSymmetryAnalyzer
+from pyeyesweb.data_models.sliding_window import SlidingWindow
 import numpy as np
 
 # Movement smoothness analysis

core/__init__.py

@@ -48,8 +48,8 @@ pip install -e .
 Test your installation:
 
 ```python
-import core
-from core import Smoothness, BilateralSymmetryAnalyzer
+import pyeyesweb
+from pyeyesweb import Smoothness, BilateralSymmetryAnalyzer
 print("PyEyesWeb successfully installed")
 ```
 

docs/installation.md

@@ -93,15 +93,15 @@ Temporal correlation with lag compensation:
 ### Basic Symmetry Analysis
 
 ```python
-from core.bilateral_symmetry import BilateralSymmetryAnalyzer
+from pyeyesweb.analysis_primitives.bilateral_symmetry import BilateralSymmetryAnalyzer
 import numpy as np
 
 # Initialize analyzer
 symmetry_analyzer = BilateralSymmetryAnalyzer(window_size=100)
 
 # Load bilateral trajectory data
-left_arm = np.load('left_arm_trajectory.npy')   # Shape: (n_samples, 3)
-right_arm = np.load('right_arm_trajectory.npy') # Shape: (n_samples, 3)
+left_arm = np.load('left_arm_trajectory.npy')  # Shape: (n_samples, 3)
+right_arm = np.load('right_arm_trajectory.npy')  # Shape: (n_samples, 3)
 
 # Calculate symmetry metrics
 metrics = symmetry_analyzer.calculate_symmetry_index(left_arm, right_arm)

docs/modules/bilateral_symmetry.md

@@ -48,14 +48,14 @@ Decomposes 3D shapes into tetrahedra and sums volumes using cross products.
 
 ```python
 import numpy as np
-from core.contraction_expansion import _area_2d_fast
+from pyeyesweb.low_level.contraction_expansion import _area_2d_fast
 
 # Define four corner points of a movement trajectory
 trajectory_points = np.array([
-    [0.0, 0.0],    # Point 1
-    [1.0, 0.0],    # Point 2
-    [1.0, 1.0],    # Point 3
-    [0.0, 1.0]     # Point 4
+    [0.0, 0.0],  # Point 1
+    [1.0, 0.0],  # Point 2
+    [1.0, 1.0],  # Point 3
+    [0.0, 1.0]  # Point 4
 ])
 
 area = _area_2d_fast(trajectory_points)
@@ -105,26 +105,27 @@ for frame in motion_data:
 ### 3D Movement Analysis
 
 ```python
-from core.contraction_expansion import _volume_3d_fast
+from pyeyesweb.low_level.contraction_expansion import _volume_3d_fast
+
 
 # Analyze 3D movement volume changes
 def analyze_3d_movement_volume(trajectory_data):
     volume_timeline = []
-    
+
     for frame in trajectory_data:
         # Extract key 3D points
         key_points = extract_key_3d_points(frame)
-        
+
         if len(key_points) >= 4:  # Minimum for volume calculation
             volume = _volume_3d_fast(key_points)
             volume_timeline.append(volume)
-    
+
     # Calculate expansion/contraction phases
     expansion_phases = []
     for i in range(1, len(volume_timeline)):
-        if volume_timeline[i] > volume_timeline[i-1]:
+        if volume_timeline[i] > volume_timeline[i - 1]:
             expansion_phases.append(i)
-    
+
     return {
         'volume_timeline': volume_timeline,
         'expansion_frames': expansion_phases,
@@ -217,8 +218,8 @@ Uses tetrahedron decomposition:
 Combine spatial dynamics with movement smoothness:
 
 ```python
-from core import Smoothness
-from core.contraction_expansion import _area_2d_fast
+from pyeyesweb import Smoothness
+from pyeyesweb.low_level.contraction_expansion import _area_2d_fast
 
 smoothness_analyzer = Smoothness()
 spatial_areas = []
@@ -227,7 +228,7 @@ for frame in motion_data:
     # Calculate spatial measure
     area = _area_2d_fast(extract_corners(frame))
     spatial_areas.append(area)
-    
+
     # Analyze spatial smoothness
     if len(spatial_areas) >= smoothness_analyzer.min_length:
         spatial_smoothness = smoothness_analyzer(spatial_areas)

docs/modules/contraction_expansion.md

@@ -67,8 +67,8 @@ Optional Savitzky-Golay filter preprocessing:
 ### Basic Smoothness Analysis
 
 ```python
-from core import Smoothness
-from core.data_models.sliding_window import SlidingWindow
+from pyeyesweb import Smoothness
+from pyeyesweb.data_models.sliding_window import SlidingWindow
 import numpy as np
 
 # Initialize analyzer

docs/modules/smoothness.md

@@ -107,7 +107,7 @@ Time-varying synchronization using overlapping windows:
 ### Basic Synchronization Analysis
 
 ```python
-from core.sync import Synchronization
+from pyeyesweb.sync import Synchronization
 import numpy as np
 
 # Initialize synchronization analyzer

docs/modules/synchronization.md

@@ -81,7 +81,7 @@ Frame	Timestamp	MARKER1_X	MARKER1_Y	MARKER1_Z	MARKER2_X	MARKER2_Y	MARKER2_Z
 ### Basic File Loading
 
 ```python
-from core.tsv_reader import TSVReader
+from pyeyesweb.utils.tsv_reader import TSVReader
 
 # Load complete motion capture file
 reader = TSVReader('motion_capture_data.tsv')

docs/modules/tsv_reader.md

@@ -15,7 +15,7 @@
 import os
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
-from core.bilateral_symmetry import BilateralSymmetryAnalyzer
+from pyeyesweb.analysis_primitives.bilateral_symmetry import BilateralSymmetryAnalyzer
 
 
 class RealisticHumanGait:

examples/test_bilateral_symmetry.py

@@ -8,7 +8,7 @@
 import os
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
-from core.contraction_expansion import analyze_movement
+from pyeyesweb.low_level.contraction_expansion import analyze_movement
 
 
 def demo_2d_analysis():