From 3fdf581e3d18597e13f3db9d8b334b571ce70bc4 Mon Sep 17 00:00:00 2001
From: eberrigan <berri104@gmail.com>
Date: Mon, 9 Dec 2024 12:45:17 -0800
Subject: [PATCH 01/30] start new pareto front functino

---
 src/ariadne_roots/pareto_functions.py | 15 +++++++++++++++
 1 file changed, 15 insertions(+)

diff --git a/src/ariadne_roots/pareto_functions.py b/src/ariadne_roots/pareto_functions.py
index 309f7a6..02fb687 100644
--- a/src/ariadne_roots/pareto_functions.py
+++ b/src/ariadne_roots/pareto_functions.py
@@ -744,6 +744,21 @@ def pareto_front(G):
     return front, actual
 
 
+def pareto_front_3d_path_tortuosity(G):
+    """
+    Given a graph G, compute the Pareto front of optimal solutions for the 3D path tortuosity
+    
+    This allows to compare how G was connected and how G could have been connected had it
+    been trying to optimize wiring cost, conduction delay, and path tortuosity
+    
+    Args:
+        G (nx.Graph): The graph to compute the Pareto front for
+    Returns:
+        front (dict): A dictionary of edge_lengths, travel_distances_to_base, and path_coverages for each alpha, beta value on the front
+        actual (tuple): The actual total_root_length, total_travel_distance, and total_path_coverage of the original plant
+    """
+    
+
 def random_tree(G):
     """
     Given a graph G, compute 1000 random spanning trees as in Conn et al. 2017.

From 453b02e730ff29c20ba1d7efef5d5ea42bfa65c5 Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Mon, 9 Dec 2024 19:20:45 -0800
Subject: [PATCH 02/30] add functions for computing costs using tortuosity of
 actual graphs

---
 src/ariadne_roots/pareto_functions.py | 97 +++++++++++++++++++++++++++
 1 file changed, 97 insertions(+)

diff --git a/src/ariadne_roots/pareto_functions.py b/src/ariadne_roots/pareto_functions.py
index 02fb687..ae556d2 100644
--- a/src/ariadne_roots/pareto_functions.py
+++ b/src/ariadne_roots/pareto_functions.py
@@ -101,6 +101,103 @@ def graph_costs(G, critical_nodes=None):
     return total_root_length, total_travel_distance
 
 
+def graph_costs_3d_path_tortuosity(G, critical_nodes):
+    """Use BFS to compute the wiring cost, conduction delay and total path coverage of a graph G.
+
+    Args:
+        G (nx.Graph): The graph to compute the costs for
+        critical_nodes (list): The list of critical nodes to consider. Critical nodes are
+            necessary for path coverage calculation.
+
+    Returns:
+        total_root_length (float): The wiring cost of the graph. Wiring cost is the total length of
+            the edges in the network.
+        total_travel_distance (float): The conduction delay of the graph. Conduction delay is the sum of
+            the distances from each point to the base node. By default, computes conduction
+            delay for all nodes. If you specify a set of critical nodes, then only those
+            nodes are used for computing conduction delay.
+        total_path_coverage: the sum of the tortuosity of all the root paths. The tortuosity per
+            path is defined as the ratio of the actual path length to the shortest path
+            length between the base node and the root tip. The total path coverage is the sum of
+            the tortuosity of all the root paths.
+    """
+    # initialize costs
+    total_root_length = 0
+    total_travel_distance = 0
+    total_path_coverage = 0
+
+    # dictionary that stores each node's distance to the base_node
+    distance_to_base = {}
+    # this method assumes node 0 is the base_node
+    base_node = 0
+    # base node has distance 0 from the base_node
+    distance_to_base[base_node] = 0
+    # position of the base node
+    base_pos = G.nodes[base_node]["pos"]
+
+    # dictionary that stores each node's parent_node in the bfs
+    # this way we avoid visiting the same node twice
+    parent_node = {}
+    parent_node[base_node] = None
+
+    # nodes_to_visit: nodes that have been discovered but not yet visited
+    nodes_to_visit = [base_node]
+    visited_nodes = set()
+
+    # lists that store the edge lengths, the distances from the nodes to each base_node,
+    # and the straight distances from the nodes to the base_node
+    edge_lengths = []
+    travel_distances_to_base = []
+    straight_distances_to_base = []
+    while len(nodes_to_visit) > 0:
+        # visit the next discovered but not visited node
+        current_node = nodes_to_visit.pop(0)
+
+        # if we are trying to  visit an already-visited node, => we have a cycle
+        if current_node in visited_nodes:
+            return float("inf"), float("inf")
+
+        # we've visited current_node
+        visited_nodes.add(current_node)
+
+        # go through current_node's children and add the unvisited nodes to the nodes_to_visit
+        for child_node in G.neighbors(current_node):
+            # ignore current_node's parent_node, this was already visited in the bfs
+            if child_node != parent_node[current_node]:
+                edge_length = G[current_node][child_node]["weight"]
+                edge_lengths.append(edge_length)
+
+                # to get to the base_node, the child_node must go to current_node and then to the base_node
+                # thus, child_node's distance_to_base = distance from child_node to current_node + distance from current_node to base
+                child_distance_to_base = edge_length + distance_to_base[current_node]
+                distance_to_base[child_node] = child_distance_to_base
+
+                # if we have specified a set of critical nodes, only those nodes contribute to conduction delay
+                if critical_nodes == None or child_node in critical_nodes:
+                    travel_distances_to_base.append(child_distance_to_base)
+                    # position of the critical node
+                    child_pos = G.nodes[child_node]["pos"]
+                    # straight distance from the critical node to the base node
+                    straight_distance_to_base = point_dist(base_pos, child_pos)
+                    straight_distances_to_base.append(straight_distance_to_base)
+                parent_node[child_node] = current_node
+                nodes_to_visit.append(child_node)
+
+    # if not every node was visited, => graph is not connected
+    assert len(visited_nodes) == G.number_of_nodes()
+
+    # compute the total path coverage
+    for i in range(len(travel_distances_to_base)):
+        total_path_coverage += (
+            travel_distances_to_base[i] / straight_distances_to_base[i]
+        )
+
+    total_root_length = sum(sorted(edge_lengths))
+    total_travel_distance = sum(sorted(travel_distances_to_base))
+
+    return total_root_length, total_travel_distance, total_path_coverage
+
+
 def slope_vector(p1, p2):
     """
     Given two n-dimensional points, computes the slope m between p1 and p2

From 64faa3fde6fc2a24143814b216d39dd234418b0e Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Mon, 9 Dec 2024 19:21:21 -0800
Subject: [PATCH 03/30] format

---
 src/ariadne_roots/pareto_functions.py | 47 +++++++++++++++++++--------
 1 file changed, 34 insertions(+), 13 deletions(-)

diff --git a/src/ariadne_roots/pareto_functions.py b/src/ariadne_roots/pareto_functions.py
index ae556d2..78bd12d 100644
--- a/src/ariadne_roots/pareto_functions.py
+++ b/src/ariadne_roots/pareto_functions.py
@@ -277,7 +277,9 @@ def pareto_cost(total_root_length, total_travel_distance, alpha):
     return cost
 
 
-def pareto_cost_3d_path_tortuosity(total_root_length, total_travel_distance, total_path_coverage, alpha, beta):
+def pareto_cost_3d_path_tortuosity(
+    total_root_length, total_travel_distance, total_path_coverage, alpha, beta
+):
     """
     Computes the pareto cost.
 
@@ -290,21 +292,25 @@ def pareto_cost_3d_path_tortuosity(total_root_length, total_travel_distance, tot
     When alpha = gamma = 0, beta = 1 => cost = total_travel_distance will be minimized
     When beta = gamma = 0, alpha = 1 => cost = total_root_length will be minimized
 
-    total_root_length: the sum of the lengths of the edges in the root network 
+    total_root_length: the sum of the lengths of the edges in the root network
         (a.k.a. material cost, wiring cost)
     total_travel_distance: the sum of the lengths of the shortest paths from every
-        lateral root tip to the base node of the network. (a.k.a. the satellite cost, 
+        lateral root tip to the base node of the network. (a.k.a. the satellite cost,
         conduction delay)
-    total_path_coverage: the sum of the tortuosity of all the root paths. The tortuosity per 
-        path is defined as the ratio of the actual path length to the shortest path 
-        length between the root and the root tip. The total root coverage is the sum of 
+    total_path_coverage: the sum of the tortuosity of all the root paths. The tortuosity per
+        path is defined as the ratio of the actual path length to the shortest path
+        length between the root and the root tip. The total path coverage is the sum of
         the tortuosity of all the root paths.
     """
     assert 0 <= alpha <= 1
     assert 0 <= beta <= 1
 
     gamma = 1 - alpha - beta
-    cost = alpha * total_root_length + beta * total_travel_distance - gamma * total_path_coverage
+    cost = (
+        alpha * total_root_length
+        + beta * total_travel_distance
+        - gamma * total_path_coverage
+    )
 
     return cost
 
@@ -800,7 +806,9 @@ def pareto_steiner_fast_3d_path_tortuosity(G, alpha, beta):
             H.nodes[n2]["distance_to_base"] = (
                 node_dist(H, n2, u) + H.nodes[u]["distance_to_base"]
             )
-            H.nodes[n2]["straight_distance_to_base"] = H.nodes[n2]["distance_to_base"] / node_dist(H, n2, base_node)
+            H.nodes[n2]["straight_distance_to_base"] = H.nodes[n2][
+                "distance_to_base"
+            ] / node_dist(H, n2, base_node)
 
         added_nodes += 1
     return H
@@ -808,10 +816,23 @@ def pareto_steiner_fast_3d_path_tortuosity(G, alpha, beta):
 
 def pareto_front(G):
     """
-    Given a graph G, compute the Pareto front of optimal solutions
+    Given a graph G, compute the Pareto front of optimal solutions for the wiring cost and conduction delay
 
     This allows to compare how G was connected and how G could have been connected had it
-    been trying to optimize wiring cost and conduction delay
+    been trying to optimize wiring cost and conduction delay.
+
+    When alpha = 0, the algorithm computes the satellite tree in linear time. This is the tree
+    that connects the base node to all of the critical nodes in G.
+
+    When alpha != 0, the algorithm computes the Pareto-optimal tree connecting the base node to all
+    of the critical nodes in G. The algorithm attempts to optimize alpha * D + (1 - alpha) * W
+    where D is the conduction delay and W is the wiring cost.
+
+    Args:
+        G (nx.Graph): The graph to compute the Pareto front for
+    Returns:
+        front (dict): A dictionary of edge_lengths, travel_distances_to_base for each alpha value on the front
+        actual (tuple): The actual total_root_length, total_travel_distance of the original plant
     """
 
     critical_nodes = get_critical_nodes(G)
@@ -844,17 +865,17 @@ def pareto_front(G):
 def pareto_front_3d_path_tortuosity(G):
     """
     Given a graph G, compute the Pareto front of optimal solutions for the 3D path tortuosity
-    
+
     This allows to compare how G was connected and how G could have been connected had it
     been trying to optimize wiring cost, conduction delay, and path tortuosity
-    
+
     Args:
         G (nx.Graph): The graph to compute the Pareto front for
     Returns:
         front (dict): A dictionary of edge_lengths, travel_distances_to_base, and path_coverages for each alpha, beta value on the front
         actual (tuple): The actual total_root_length, total_travel_distance, and total_path_coverage of the original plant
     """
-    
+
 
 def random_tree(G):
     """

From 5dbaeab0b3ac3524826e0801a0ef14abec004d8b Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Mon, 9 Dec 2024 19:21:44 -0800
Subject: [PATCH 04/30] add to documentation

---
 src/ariadne_roots/pareto_functions.py | 22 +++++++++++++++-------
 1 file changed, 15 insertions(+), 7 deletions(-)

diff --git a/src/ariadne_roots/pareto_functions.py b/src/ariadne_roots/pareto_functions.py
index 78bd12d..2fe04b9 100644
--- a/src/ariadne_roots/pareto_functions.py
+++ b/src/ariadne_roots/pareto_functions.py
@@ -402,6 +402,12 @@ def pareto_steiner_fast(G, alpha):
 
     The algorithm uses a greedy approach: always take the edge that will reduce the
     pareto cost of the tree by the smallest amount
+
+    When alpha = 0, the cost is (1 - alpha) * W = W, so the algorithm will try to minimize
+    the wiring cost
+
+    When alpha = 1, the cost is alpha * D = D, so the algorithm will try to minimize the
+    conduction delay.
     """
     assert 0 <= alpha <= 1
 
@@ -601,17 +607,19 @@ def pareto_steiner_fast_3d_path_tortuosity(G, alpha, beta):
 
     When alpha = beta = 0, gamma = 1 => cost = -total_path_coverage will be minimized =>
         total_path_coverage will be maximized
-    When alpha = gamma = 0, beta = 1 => cost = total_travel_distance will be minimized
-    When beta = gamma = 0, alpha = 1 => cost = total_root_length will be minimized
+    When alpha = gamma = 0, beta = 1 => cost = total_travel_distance will be minimized =>
+        Satellite tree will be constructed
+    When beta = gamma = 0, alpha = 1 => cost = total_root_length will be minimized =>
+        Steiner tree will be constructed
 
-    total_root_length: the sum of the lengths of the edges in the root network 
+    total_root_length: the sum of the lengths of the edges in the root network
         (a.k.a. material cost, wiring cost)
     total_travel_distance: the sum of the lengths of the shortest paths from every
-        lateral root tip to the base node of the network. (a.k.a. the satellite cost, 
+        lateral root tip to the base node of the network. (a.k.a. the satellite cost,
         conduction delay)
-    total_path_coverage: the sum of the tortuosity of all the root paths. The tortuosity per 
-        path is defined as the ratio of the actual path length to the shortest path 
-        length between the root and the root tip. The total root coverage is the sum of 
+    total_path_coverage: the sum of the tortuosity of all the root paths. The tortuosity per
+        path is defined as the ratio of the actual path length to the shortest path
+        length between the base node and the root tip. The total root coverage is the sum of
         the tortuosity of all the root paths.
 
     The algorithm uses a greedy approach: always take the edge that will reduce the

From de935caf127ddd21a62ffbbcb0ebe79c2180bab9 Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Mon, 9 Dec 2024 19:35:12 -0800
Subject: [PATCH 05/30] define pareto front for 3d path tortuosity

---
 src/ariadne_roots/pareto_functions.py | 46 +++++++++++++++++++++++++--
 1 file changed, 44 insertions(+), 2 deletions(-)

diff --git a/src/ariadne_roots/pareto_functions.py b/src/ariadne_roots/pareto_functions.py
index 2fe04b9..0665c1d 100644
--- a/src/ariadne_roots/pareto_functions.py
+++ b/src/ariadne_roots/pareto_functions.py
@@ -880,15 +880,57 @@ def pareto_front_3d_path_tortuosity(G):
     Args:
         G (nx.Graph): The graph to compute the Pareto front for
     Returns:
-        front (dict): A dictionary of edge_lengths, travel_distances_to_base, and path_coverages for each alpha, beta value on the front
-        actual (tuple): The actual total_root_length, total_travel_distance, and total_path_coverage of the original plant
+        front (dict): A dictionary of edge_lengths, travel_distances_to_base, and
+            path_coverages for (each alpha, beta) value on the front
+        actual (tuple): The actual total_root_length, total_travel_distance, and
+            total_path_coverage of the original plant
     """
+    critical_nodes = get_critical_nodes(G)
+
+    # test: compute the actual total_root_length, total_travel_distance, and
+    # total_path_coverage for the original plant
+    mactual, sactual, pactual = graph_costs_3d_path_tortuosity(
+        G, critical_nodes=critical_nodes
+    )
+    actual = (mactual, sactual, pactual)
+
+    # dictionary of edge_lengths, travel_distances_to_base, and path_coverages for each
+    # alpha, beta value on the front
+    front = {}
+
+    for alpha in DEFAULT_ALPHAS:
+        for beta in DEFAULT_BETAS:
+            H = None
+            # if alpha = 0 and beta = 1 compute the satellite tree in linear time
+            if alpha == 0 and beta == 1:
+                H = satellite_tree(G)
+            else:
+                H = pareto_steiner_fast(G, alpha)
+
+            # compute the wiring cost, conduction delay and path coverage
+            # only the original critical nodes contribute to conduction delay
+            total_root_length, total_travel_distance, total_path_coverage = (
+                graph_costs_3d_path_tortuosity(H, critical_nodes=critical_nodes)
+            )
+            front[(alpha, beta)] = [
+                total_root_length,
+                total_travel_distance,
+                total_path_coverage,
+            ]
+
+    return front, actual
 
 
 def random_tree(G):
     """
     Given a graph G, compute 1000 random spanning trees as in Conn et al. 2017.
     Only consider the critical nodes (and root node) of G.
+
+    Args:
+        G (nx.Graph): The graph to compute the random trees for
+    Returns:
+        costs (list): A list of (mactual, sactual) tuples for each random tree which
+            represent the wiring cost and conduction delay of the tree.
     """
     random.seed(a=None)
     random_trees = []  # list of 1000 random trees

From 518f5f92a0f7ab1dd220f7de7e33b3191ffdf78f Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Mon, 9 Dec 2024 19:35:32 -0800
Subject: [PATCH 06/30] define random tree for 3d path tortuosity

---
 src/ariadne_roots/pareto_functions.py | 49 +++++++++++++++++++++++++++
 1 file changed, 49 insertions(+)

diff --git a/src/ariadne_roots/pareto_functions.py b/src/ariadne_roots/pareto_functions.py
index 0665c1d..8d6d669 100644
--- a/src/ariadne_roots/pareto_functions.py
+++ b/src/ariadne_roots/pareto_functions.py
@@ -968,3 +968,52 @@ def random_tree(G):
         costs.append((mactual, sactual))
 
     return costs
+
+
+def random_tree_3d_path_tortuosity(G):
+    """
+    Given a graph G, compute 1000 random spanning trees as in Conn et al. 2017.
+    Only consider the critical nodes (and root node) of G.
+
+    Args:
+        G (nx.Graph): The graph to compute the random trees for
+    Returns:
+        costs (list): A list of (mactual, sactual, pactual) tuples for each random tree which
+            represent the wiring cost, conduction delay, and path coverage of the tree.
+    """
+    random.seed(a=None)
+    random_trees = []  # list of 1000 random trees
+    costs = []
+
+    for i in range(1000):  # 1000 random trees
+        # instantiate random tree
+        R = nx.Graph()
+        G_critical_nodes = get_critical_nodes(G)
+
+        while len(G_critical_nodes) > 0:
+            # randomly draw 1 node from G's critical nodes
+            index = random.randrange(len(G_critical_nodes))
+            g = G_critical_nodes[index]
+
+            if len(R.nodes) > 0:  # if R is not empty
+                # add the new point AND a random edge
+                r_index = random.randrange(len(R.nodes))  # get a random node from R
+                r = list(R.nodes)[r_index]
+                R.add_node(g, pos=G.nodes.data()[g]["pos"])
+                R.add_edge(r, g, weight=node_dist(R, r, g))
+
+            else:  # if R is empty
+                # add the new point
+                R.add_node(g, pos=G.nodes.data()[g]["pos"])
+
+            # remove added node from candidate list and repeat
+            del G_critical_nodes[index]
+
+        random_trees.append(R)
+
+    for R in random_trees:
+        # compute costs for each R, to compare with G
+        mactual, sactual, pactual = graph_costs_3d_path_tortuosity(R)
+        costs.append((mactual, sactual, pactual))
+
+    return costs

From 9caf23587dcbb4051be1b1dba8a94f8afde49bed Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Mon, 9 Dec 2024 19:39:54 -0800
Subject: [PATCH 07/30] make sure to use new algorithm with path coverage when
 finding front

---
 src/ariadne_roots/pareto_functions.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/ariadne_roots/pareto_functions.py b/src/ariadne_roots/pareto_functions.py
index 8d6d669..1e61c51 100644
--- a/src/ariadne_roots/pareto_functions.py
+++ b/src/ariadne_roots/pareto_functions.py
@@ -905,7 +905,7 @@ def pareto_front_3d_path_tortuosity(G):
             if alpha == 0 and beta == 1:
                 H = satellite_tree(G)
             else:
-                H = pareto_steiner_fast(G, alpha)
+                H = pareto_steiner_fast_3d_path_tortuosity(G, alpha, beta)
 
             # compute the wiring cost, conduction delay and path coverage
             # only the original critical nodes contribute to conduction delay

From d52ac801b848003dee998e8570636e06d559c118 Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Tue, 7 Jan 2025 20:02:06 -0800
Subject: [PATCH 08/30] format

---
 src/ariadne_roots/quantify.py | 43 +++++++++++++++++++++++------------
 1 file changed, 28 insertions(+), 15 deletions(-)

diff --git a/src/ariadne_roots/quantify.py b/src/ariadne_roots/quantify.py
index 709329e..1715764 100644
--- a/src/ariadne_roots/quantify.py
+++ b/src/ariadne_roots/quantify.py
@@ -98,7 +98,12 @@ def make_graph(target):
                             print("Error: edge assignment failed")
 
                     for child_node in child_metadata:
-                        q.put((node_num, list(map(int, child_node.strip("[]").split(",")))))
+                        q.put(
+                            (
+                                node_num,
+                                list(map(int, child_node.strip("[]").split(","))),
+                            )
+                        )
 
                 node_num += 1
                 group_num += 1
@@ -151,7 +156,10 @@ def make_graph_alt(target):
                     children = info[1].split()
                     for child_node in children:
                         q.put(
-                            (node_num, list(map(int, child_node.strip("[]").split(","))))
+                            (
+                                node_num,
+                                list(map(int, child_node.strip("[]").split(","))),
+                            )
                         )  # converts each child object from list of strings to list of ints
                 else:  # terminal node (degree == 1)
                     coords = tuple(int(float(i)) for i in info[0].rstrip(";").split())[
@@ -442,14 +450,15 @@ def calculate_convex_hull_area(G):
     return hull_area
 
 
-
 import networkx as nx
 import math
 
+
 def distance(pos1, pos2):
     """Calculate the Euclidean distance between two positions."""
     return math.sqrt((pos1[0] - pos2[0]) ** 2 + (pos1[1] - pos2[1]) ** 2)
 
+
 def calc_zones(G, root_node):
     """
     Calculate the Branched Zone, Basal Zone, and Apical Zone lengths along the primary root.
@@ -610,7 +619,6 @@ def analyze(G):
     len_PR = calc_len_PR(H, root_node)
     # print('PR length is:', len_PR)
 
-
     # LR len/number
     LR_info = calc_len_LRs(H)
     num_LRs = len(LR_info)
@@ -623,7 +631,6 @@ def analyze(G):
     density_LRs = num_LRs / len_PR
     # print('LR density is:', num_LRs/len_PR)
 
-
     # Calculate the Euclidean distance between the uppermost node and the lowermost node of the primary root
     uppermost_node_pos = H.nodes[root_node]["pos"]
     lowermost_node_pos = find_lowermost_node_of_primary_root(H, root_node)
@@ -642,7 +649,7 @@ def analyze(G):
     # Convex Hull calculations
     points = np.array([H.nodes[node]["pos"] for node in H.nodes()])
     hull = ConvexHull(points)
-    
+
     # Barycenter (centroid) of the Convex Hull
     # Centroid formula: (mean x, mean y) of the vertices of the convex hull
     hull_points = points[hull.vertices]
@@ -655,8 +662,12 @@ def analyze(G):
     uppermost_node_pos = uppermost_node[1]
 
     # Build quadrilateral (barycenter and uppermost node form the quadrilateral)
-    barycenter_y_displacement = abs(barycenter_y - uppermost_node_pos[1])  # Displacement in y-direction
-    barycenter_x_displacement = abs(barycenter_x - uppermost_node_pos[0])  # Displacement in x-direction
+    barycenter_y_displacement = abs(
+        barycenter_y - uppermost_node_pos[1]
+    )  # Displacement in y-direction
+    barycenter_x_displacement = abs(
+        barycenter_x - uppermost_node_pos[0]
+    )  # Displacement in x-direction
 
     # Calculate Branched, Basal, and Apical Zones
     zone_lengths = calc_zones(H, root_node)
@@ -668,9 +679,11 @@ def analyze(G):
     if basal_zone_length == len_PR:
         basal_zone_length = 0
 
-    #Branched Zone density
+    # Branched Zone density
 
-    branched_zone_density = num_LRs / branched_zone_length if branched_zone_length != 0 else 0
+    branched_zone_density = (
+        num_LRs / branched_zone_length if branched_zone_length != 0 else 0
+    )
 
     # Calculate mean and median
     mean_LR_lengths = np.mean(lens_LRs)
@@ -687,9 +700,9 @@ def analyze(G):
     # Add lateral root lengths and distances to the results dictionary
     results["PR length"] = len_PR
     results["PR_minimal_length"] = distance_root
-    results["Basal Zone length"]= basal_zone_length
+    results["Basal Zone length"] = basal_zone_length
     results["Branched Zone length"] = branched_zone_length
-    results["Apical Zone length"]= apical_zone_length
+    results["Apical Zone length"] = apical_zone_length
     results["Mean LR lengths"] = mean_LR_lengths
     results["Mean LR minimal lengths"] = mean_LR_distances
     results["Median LR lengths"] = median_LR_lengths
@@ -699,12 +712,12 @@ def analyze(G):
     results["Median LR angles"] = median_LR_angles
     results["LR count"] = num_LRs
     results["LR density"] = density_LRs
-    results["Branched Zone density"]= branched_zone_density
+    results["Branched Zone density"] = branched_zone_density
     results["LR lengths"] = lens_LRs
     results["LR angles"] = angles_LRs
     results["LR minimal lengths"] = distances_LRs
-    results["Barycenter x displacement"]= barycenter_x_displacement
-    results["Barycenter y displacement"]= barycenter_y_displacement
+    results["Barycenter x displacement"] = barycenter_x_displacement
+    results["Barycenter y displacement"] = barycenter_y_displacement
     results["Total minimal Distance"] = (
         total_distance  # Add the total distance to the results
     )

From d71b8d7ebfc5550301f0a239253565f8c45b43be Mon Sep 17 00:00:00 2001
From: eberrigan <berri104@gmail.com>
Date: Fri, 10 Jan 2025 17:00:48 -0800
Subject: [PATCH 09/30] add report path for 3d results

---
 src/ariadne_roots/main.py | 3 +++
 1 file changed, 3 insertions(+)

diff --git a/src/ariadne_roots/main.py b/src/ariadne_roots/main.py
index 4305167..d1b75cf 100755
--- a/src/ariadne_roots/main.py
+++ b/src/ariadne_roots/main.py
@@ -1044,6 +1044,9 @@ def import_file(self):
         report_dest = (
             self.output_path / f"report_{str(timestamp.strftime('%Y%m%d_%H%M%S'))}.csv"
         )
+        report_3d_dest = (
+            self.output_path / f"report_3d_{str(timestamp.strftime('%Y%m%d_%H%M%S'))}.csv"
+        )
 
         # add current file count
         self.output_info = f"Current files: ({len(self.tree_paths)})"

From 3f6d3201eac35e5e75b658268535ac8ebd86bcb6 Mon Sep 17 00:00:00 2001
From: eberrigan <berri104@gmail.com>
Date: Fri, 10 Jan 2025 17:01:04 -0800
Subject: [PATCH 10/30] add path for 3d plot

---
 src/ariadne_roots/main.py | 2 ++
 1 file changed, 2 insertions(+)

diff --git a/src/ariadne_roots/main.py b/src/ariadne_roots/main.py
index d1b75cf..cb9013b 100755
--- a/src/ariadne_roots/main.py
+++ b/src/ariadne_roots/main.py
@@ -1056,8 +1056,10 @@ def import_file(self):
             graph_name = json_file.split("/")[-1]
             graph_name_noext = graph_name[:-5]
             pareto_name = graph_name_noext + "_pareto.png"
+            pareto_3d_name = graph_name_noext + "_pareto_3d.png"
             # plot_name = graph_name_noext + '_tree.png'
             pareto_path = self.output_path / pareto_name
+            pareto_3d_path = self.output_path / pareto_3d_name
 
             # update current file count list
             self.output_info = self.output_info + "\n" + graph_name

From 16a56ee344847bff6d1bee753c38bc186a601ca6 Mon Sep 17 00:00:00 2001
From: eberrigan <berri104@gmail.com>
Date: Fri, 10 Jan 2025 17:01:39 -0800
Subject: [PATCH 11/30] `quantify.analyze` has 6 outputs now

---
 src/ariadne_roots/main.py | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/src/ariadne_roots/main.py b/src/ariadne_roots/main.py
index cb9013b..4761a7c 100755
--- a/src/ariadne_roots/main.py
+++ b/src/ariadne_roots/main.py
@@ -1071,8 +1071,9 @@ def import_file(self):
                 graph = json_graph.adjacency_graph(data)
 
                 # perform analysis
-                results, front, randoms = quantify.analyze(graph)
+                results, front, randoms, results_3d, front_3d, randoms_3d = quantify.analyze(graph)
                 results["filename"] = graph_name_noext
+                results_3d["filename"] = graph_name_noext
 
                 # Open the CSV file and write the header only once
                 with open(report_dest, "a", encoding="utf-8", newline="") as csvfile:

From 8f3d478b570120105f09c8e6de68a67bb7f92683 Mon Sep 17 00:00:00 2001
From: eberrigan <berri104@gmail.com>
Date: Fri, 10 Jan 2025 17:01:57 -0800
Subject: [PATCH 12/30] make a new csv with the 3d results

---
 src/ariadne_roots/main.py | 9 +++++++++
 1 file changed, 9 insertions(+)

diff --git a/src/ariadne_roots/main.py b/src/ariadne_roots/main.py
index 4761a7c..ed01ace 100755
--- a/src/ariadne_roots/main.py
+++ b/src/ariadne_roots/main.py
@@ -1085,6 +1085,15 @@ def import_file(self):
                     w = csv.DictWriter(csvfile, fieldnames=results.keys())
                     w.writerow(results)
 
+                with open(report_3d_dest, "a", encoding="utf-8", newline="") as csvfile:
+                    if i == 1:
+                        w = csv.DictWriter(csvfile, fieldnames=results_3d.keys())
+                        w.writeheader()
+                    
+                    w = csv.DictWriter(csvfile, fieldnames=results_3d.keys())
+                    w.writerow(results_3d)
+
+
                 # make pareto plot and save
                 quantify.plot_all(
                     front,

From babd403d42744a098ab8483434597707e2698c47 Mon Sep 17 00:00:00 2001
From: eberrigan <berri104@gmail.com>
Date: Fri, 10 Jan 2025 17:02:11 -0800
Subject: [PATCH 13/30] plot 3d results

---
 src/ariadne_roots/main.py | 11 +++++++++++
 1 file changed, 11 insertions(+)

diff --git a/src/ariadne_roots/main.py b/src/ariadne_roots/main.py
index ed01ace..c71181f 100755
--- a/src/ariadne_roots/main.py
+++ b/src/ariadne_roots/main.py
@@ -1104,6 +1104,17 @@ def import_file(self):
                     pareto_path,
                 )
 
+                # make 3D pareto plot and save
+                quantify.plot_all_3d(
+                    front_3d,
+                    [results_3d["Total root length"], results_3d["Travel distance"], results_3d["Path tortuosity"]],
+                    randoms_3d,
+                    results_3d["Total root length (random)"],
+                    results_3d["Travel distance (random)"],
+                    results_3d["Path tortuosity"],
+                    pareto_3d_path,
+                )
+
                 print(f"Processed file {i}/{len(self.tree_paths)}")
                 i += 1
 

From d714f85da1f7c39a6f5e6cf743e5a57dd979894b Mon Sep 17 00:00:00 2001
From: eberrigan <berri104@gmail.com>
Date: Fri, 10 Jan 2025 17:02:26 -0800
Subject: [PATCH 14/30] add new imports for 3d calcs to quantify

---
 src/ariadne_roots/quantify.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/src/ariadne_roots/quantify.py b/src/ariadne_roots/quantify.py
index 1715764..3a48b2d 100644
--- a/src/ariadne_roots/quantify.py
+++ b/src/ariadne_roots/quantify.py
@@ -17,7 +17,7 @@
 from queue import Queue
 from scipy.spatial import ConvexHull  # Import ConvexHull class
 
-from ariadne_roots.pareto_functions import pareto_front, random_tree
+from ariadne_roots.pareto_functions import pareto_front, random_tree, pareto_front_3d_path_tortuosity, random_tree_3d_path_tortuosity
 
 
 # parser = argparse.ArgumentParser(description='select file')

From dc45b860741843440ddf055640a13798e811a321 Mon Sep 17 00:00:00 2001
From: eberrigan <berri104@gmail.com>
Date: Fri, 10 Jan 2025 17:03:00 -0800
Subject: [PATCH 15/30] add function for plotting the pareto front in 3d

---
 src/ariadne_roots/quantify.py | 41 +++++++++++++++++++++++++++++++++++
 1 file changed, 41 insertions(+)

diff --git a/src/ariadne_roots/quantify.py b/src/ariadne_roots/quantify.py
index 3a48b2d..e12a360 100644
--- a/src/ariadne_roots/quantify.py
+++ b/src/ariadne_roots/quantify.py
@@ -353,6 +353,47 @@ def plot_all(front, actual, randoms, mrand, srand, dest):
     # plt.show()
 
 
+def plot_all_3d(front_3d, actual_3d, randoms_3d, mrand, srand, prand, save_path):
+    """Plot the 3D Pareto front with the actual plant and random tree costs.
+    
+    Args:
+        front_3d (dict): A dictionary of total root lengths, total distances to the base and
+            path_coverages for each (alpha, beta) value on the front 
+        actual_3d (tuple): The actual total_root_length, total_travel_distance, and
+            total_path_coverage of the original plant
+        randoms_3d (list): A list of random tree costs
+        mrand (float): The mean total root length of the random trees
+        srand (float): The mean total travel distance of the random trees
+        prand (float): The mean path coverage of the random trees
+        save_path (str): The file path to save the plot
+    """
+    fig = plt.figure()
+    ax = fig.add_subplot(111, projection="3d")
+    ax.set_xlabel("Total root length", fontsize=15)
+    ax.set_ylabel("Travel distance", fontsize=15)
+    ax.set_zlabel("Path coverage", fontsize=15)
+
+    # Extract the x, y, and z values for the front
+    x_values = [x[0] for x in front_3d.values()]
+    y_values = [x[1] for x in front_3d.values()]
+    z_values = [x[2] for x in front_3d.values()]
+
+    # Plot the front_3d
+    ax.plot(x_values, y_values, z_values, marker="s", linestyle="-", markeredgecolor="black")
+
+    # Plot the actual plant
+    ax.plot([actual_3d[0]], [actual_3d[1]], [actual_3d[2]], marker="x", markersize=12)
+
+    # Plot the random trees
+    for i in randoms_3d:
+        ax.plot([i[0]], [i[1]], [i[2]], marker="+", color="green", markersize=4)
+
+    # Plot the random tree with the highest path coverage
+    ax.plot([mrand], [srand], [prand], marker="+", color="red", markersize=12)
+
+    plt.savefig(save_path, bbox_inches="tight", dpi=300)
+
+
 def distance_from_front(front, actual_tree):
     """
     Return the closest alpha for the actual tree, and its distance to the front.

From ee35bd70fb3c978745ce78ee7521ac36ddc15383 Mon Sep 17 00:00:00 2001
From: eberrigan <berri104@gmail.com>
Date: Fri, 10 Jan 2025 17:03:42 -0800
Subject: [PATCH 16/30] add a new function for calculating the distance from
 the 3d front for each alpha beta pair

---
 src/ariadne_roots/quantify.py | 34 ++++++++++++++++++++++++++++++++++
 1 file changed, 34 insertions(+)

diff --git a/src/ariadne_roots/quantify.py b/src/ariadne_roots/quantify.py
index e12a360..6c1dfac 100644
--- a/src/ariadne_roots/quantify.py
+++ b/src/ariadne_roots/quantify.py
@@ -423,6 +423,40 @@ def distance_from_front(front, actual_tree):
     return characteristic_alpha, scaling_distance
 
 
+def distance_from_front_3d(front, actual_tree):
+    """Return the closest (alpha, beta) for the actual tree, and its distance to the 3D front.
+    
+    Args:
+        front (dict): A dictionary of edge_lengths, travel_distances_to_base, and
+            path_coverages for (each alpha, beta) value on the front 
+        actual (tuple): The actual total_root_length, total_travel_distance, and
+            total_path_coverage of the original plant
+    
+    Returns:
+        tuple: A tuple containing the characteristic (alpha, beta) value, and the scaling distance
+    """
+    # for each (alpha, beta) value, find distance to the actual tree
+    distances = {}
+
+    for alpha_beta in front.items():
+        alpha_beta_value = alpha_beta[0]
+        alpha_beta_tree = alpha_beta[1]
+
+        material_ratio = actual_tree[0] / alpha_beta_tree[0]
+        transport_ratio = actual_tree[1] / alpha_beta_tree[1]
+        path_coverage_ratio = actual_tree[2] / alpha_beta_tree[2]
+
+        distances[alpha_beta_value] = max(
+            material_ratio, transport_ratio, path_coverage_ratio
+        )
+
+    closest = min(distances.items(), key=lambda x: x[1])
+
+    characteristic_alpha_beta, scaling_distance = closest
+
+    return characteristic_alpha_beta, scaling_distance
+
+
 def pareto_calcs(H):
     """Perform Pareto-related calculations."""
     front, actual = pareto_front(H)

From 8107d3e045c04c098c6e1206754bb8306524d3e5 Mon Sep 17 00:00:00 2001
From: eberrigan <berri104@gmail.com>
Date: Fri, 10 Jan 2025 17:04:21 -0800
Subject: [PATCH 17/30] add new function for pareto calcs in 3D (results,
 front, randoms)

---
 src/ariadne_roots/quantify.py | 47 +++++++++++++++++++++++++++++++++++
 1 file changed, 47 insertions(+)

diff --git a/src/ariadne_roots/quantify.py b/src/ariadne_roots/quantify.py
index 6c1dfac..77c41fe 100644
--- a/src/ariadne_roots/quantify.py
+++ b/src/ariadne_roots/quantify.py
@@ -489,6 +489,53 @@ def pareto_calcs(H):
     return results, front, randoms
 
 
+def pareto_calcs_3d_path_tortuosity(H):
+    """Perform Pareto-related calculations using 3d Pareto Front with path tortuosity.
+    
+    Args:
+        H (nx.Graph): NetworkX graph representing the root system.
+        
+    Returns:
+        tuple: Tuple containing the results dictionary, the 3D Pareto front, and the random tree costs.
+    """
+    # Calculate the Pareto front using the 3D path tortuosity
+    front, actual = pareto_front_3d_path_tortuosity(H)
+    # Extract the actual tree values
+    # mactual is the total root length, sactual is the total travel distance, and pactual is the path tortuosity
+    mactual, sactual, pactual = actual
+
+    # Calculate the characteristic (alpha, beta) value and the scaling distance
+    plant_alpha_beta, plant_scaling = distance_from_front_3d(front, actual)
+    # Generate random trees
+    randoms = random_tree_3d_path_tortuosity(H)
+
+    # Calculate the mean total root length and mean total travel distance and mean path tortuosity of the random trees
+    mrand = np.mean([x[0] for x in randoms])
+    srand = np.mean([x[1] for x in randoms])
+    prand = np.mean([x[2] for x in randoms])
+
+    # Calculate the characteristic (alpha, beta) value and the scaling distance for the random trees
+    rand_alpha_beta, rand_scaling = distance_from_front_3d(front, (mrand, srand, prand))
+
+    # Assemble the results dictionary
+    results = {
+        "Total root length": mactual,
+        "Travel distance": sactual,
+        "Path tortuosity": pactual,
+        "alpha_beta": plant_alpha_beta,
+        "scaling distance to front": plant_scaling,
+        "Total root length (random)": mrand,
+        "Travel distance (random)": srand,
+        "Path tortuosity (random)": prand,
+        "alpha_beta (random)": rand_alpha_beta,
+        "scaling (random)": rand_scaling,
+    }
+
+    return results, front, randoms
+
+
+
+
 ### CONVEX HULL calculations
 
 

From b823daad2f40f7b3f04590ab9697229048b9fb3f Mon Sep 17 00:00:00 2001
From: eberrigan <berri104@gmail.com>
Date: Fri, 10 Jan 2025 17:05:06 -0800
Subject: [PATCH 18/30] return 3d results in quantify.analyze with the 2d
 results

---
 src/ariadne_roots/quantify.py | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/src/ariadne_roots/quantify.py b/src/ariadne_roots/quantify.py
index 77c41fe..68db451 100644
--- a/src/ariadne_roots/quantify.py
+++ b/src/ariadne_roots/quantify.py
@@ -759,6 +759,7 @@ def analyze(G):
     distance_root = calculate_distance(uppermost_node_pos, lowermost_node_pos)
 
     results, front, randoms = pareto_calcs(H)
+    results_3d, front_3d, randoms_3d = pareto_calcs_3d_path_tortuosity(H)
 
     # Calculate lateral root distances with lengths and first-to-last distances
     lateral_root_info = calc_len_LRs_with_distances(H)
@@ -850,7 +851,7 @@ def analyze(G):
     # Calculate the ratio of the material cost with the Total minimal Distance
     material_distance_ratio = Total_root_length / total_distance
 
-    results["Tortuosity"] = material_distance_ratio
+    results["Material Cost to Travel Distance Ratio"] = material_distance_ratio
 
     # Calculating convex hull area
     points = np.array([H.nodes[node]["pos"] for node in H.nodes()])
@@ -859,4 +860,4 @@ def analyze(G):
 
     results["Convex Hull Area"] = convex_hull_area
 
-    return results, front, randoms
+    return results, front, randoms, results_3d, front_3d, randoms_3d

From 59bb81e3b46120ddb7f96eb52083bd8fd77f98ba Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Sat, 11 Jan 2025 15:29:41 -0800
Subject: [PATCH 19/30] set critical nodes to None to maintain current behavior

---
 src/ariadne_roots/pareto_functions.py | 6 +++---
 1 file changed, 3 insertions(+), 3 deletions(-)

diff --git a/src/ariadne_roots/pareto_functions.py b/src/ariadne_roots/pareto_functions.py
index 1e61c51..b6b1226 100644
--- a/src/ariadne_roots/pareto_functions.py
+++ b/src/ariadne_roots/pareto_functions.py
@@ -101,13 +101,13 @@ def graph_costs(G, critical_nodes=None):
     return total_root_length, total_travel_distance
 
 
-def graph_costs_3d_path_tortuosity(G, critical_nodes):
+def graph_costs_3d_path_tortuosity(G, critical_nodes=None):
     """Use BFS to compute the wiring cost, conduction delay and total path coverage of a graph G.
 
     Args:
         G (nx.Graph): The graph to compute the costs for
-        critical_nodes (list): The list of critical nodes to consider. Critical nodes are
-            necessary for path coverage calculation.
+        critical_nodes (list): The list of critical nodes to consider. If None, all
+            nodes are considered.
 
     Returns:
         total_root_length (float): The wiring cost of the graph. Wiring cost is the total length of

From 9adf1a17407038129b6e7799784539431e4917fa Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Sat, 11 Jan 2025 15:29:49 -0800
Subject: [PATCH 20/30] format

---
 src/ariadne_roots/quantify.py | 7 ++++++-
 1 file changed, 6 insertions(+), 1 deletion(-)

diff --git a/src/ariadne_roots/quantify.py b/src/ariadne_roots/quantify.py
index 68db451..4fa1011 100644
--- a/src/ariadne_roots/quantify.py
+++ b/src/ariadne_roots/quantify.py
@@ -17,7 +17,12 @@
 from queue import Queue
 from scipy.spatial import ConvexHull  # Import ConvexHull class
 
-from ariadne_roots.pareto_functions import pareto_front, random_tree, pareto_front_3d_path_tortuosity, random_tree_3d_path_tortuosity
+from ariadne_roots.pareto_functions import (
+    pareto_front,
+    random_tree,
+    pareto_front_3d_path_tortuosity,
+    random_tree_3d_path_tortuosity,
+)
 
 
 # parser = argparse.ArgumentParser(description='select file')

From f38875afbaa7363116f90c857882980eb060ef3b Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Sat, 11 Jan 2025 15:30:12 -0800
Subject: [PATCH 21/30] print helpful statements

---
 src/ariadne_roots/quantify.py | 16 ++++++++++------
 1 file changed, 10 insertions(+), 6 deletions(-)

diff --git a/src/ariadne_roots/quantify.py b/src/ariadne_roots/quantify.py
index 4fa1011..dde1457 100644
--- a/src/ariadne_roots/quantify.py
+++ b/src/ariadne_roots/quantify.py
@@ -355,15 +355,15 @@ def plot_all(front, actual, randoms, mrand, srand, dest):
     plt.plot(mrand, srand, marker="+", color="red", markersize=12)
 
     plt.savefig(dest, bbox_inches="tight", dpi=300)
-    # plt.show()
+    print(f"Plot saved to {dest}")
 
 
 def plot_all_3d(front_3d, actual_3d, randoms_3d, mrand, srand, prand, save_path):
     """Plot the 3D Pareto front with the actual plant and random tree costs.
-    
+
     Args:
         front_3d (dict): A dictionary of total root lengths, total distances to the base and
-            path_coverages for each (alpha, beta) value on the front 
+            path_coverages for each (alpha, beta) value on the front
         actual_3d (tuple): The actual total_root_length, total_travel_distance, and
             total_path_coverage of the original plant
         randoms_3d (list): A list of random tree costs
@@ -384,19 +384,23 @@ def plot_all_3d(front_3d, actual_3d, randoms_3d, mrand, srand, prand, save_path)
     z_values = [x[2] for x in front_3d.values()]
 
     # Plot the front_3d
-    ax.plot(x_values, y_values, z_values, marker="s", linestyle="-", markeredgecolor="black")
+    ax.plot(
+        x_values, y_values, z_values, marker="s", linestyle="-", markeredgecolor="black"
+    )
 
     # Plot the actual plant
     ax.plot([actual_3d[0]], [actual_3d[1]], [actual_3d[2]], marker="x", markersize=12)
 
-    # Plot the random trees
+    # Plot the random tree costs
     for i in randoms_3d:
         ax.plot([i[0]], [i[1]], [i[2]], marker="+", color="green", markersize=4)
 
-    # Plot the random tree with the highest path coverage
+    # Plot the 3d centroid of the random trees
     ax.plot([mrand], [srand], [prand], marker="+", color="red", markersize=12)
 
+    # Save the plot
     plt.savefig(save_path, bbox_inches="tight", dpi=300)
+    print(f"Plot saved to {save_path}")
 
 
 def distance_from_front(front, actual_tree):

From 3677458b77dbee9ec220fb23fefbfa5a234c1f29 Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Sat, 11 Jan 2025 15:30:18 -0800
Subject: [PATCH 22/30] format

---
 src/ariadne_roots/quantify.py | 12 +++++-------
 1 file changed, 5 insertions(+), 7 deletions(-)

diff --git a/src/ariadne_roots/quantify.py b/src/ariadne_roots/quantify.py
index dde1457..1f94aaa 100644
--- a/src/ariadne_roots/quantify.py
+++ b/src/ariadne_roots/quantify.py
@@ -434,13 +434,13 @@ def distance_from_front(front, actual_tree):
 
 def distance_from_front_3d(front, actual_tree):
     """Return the closest (alpha, beta) for the actual tree, and its distance to the 3D front.
-    
+
     Args:
         front (dict): A dictionary of edge_lengths, travel_distances_to_base, and
-            path_coverages for (each alpha, beta) value on the front 
+            path_coverages for (each alpha, beta) value on the front
         actual (tuple): The actual total_root_length, total_travel_distance, and
             total_path_coverage of the original plant
-    
+
     Returns:
         tuple: A tuple containing the characteristic (alpha, beta) value, and the scaling distance
     """
@@ -500,10 +500,10 @@ def pareto_calcs(H):
 
 def pareto_calcs_3d_path_tortuosity(H):
     """Perform Pareto-related calculations using 3d Pareto Front with path tortuosity.
-    
+
     Args:
         H (nx.Graph): NetworkX graph representing the root system.
-        
+
     Returns:
         tuple: Tuple containing the results dictionary, the 3D Pareto front, and the random tree costs.
     """
@@ -543,8 +543,6 @@ def pareto_calcs_3d_path_tortuosity(H):
     return results, front, randoms
 
 
-
-
 ### CONVEX HULL calculations
 
 

From aca914b0d9123941dcb0d514b1b489673ffc50f4 Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Sat, 11 Jan 2025 20:01:56 -0800
Subject: [PATCH 23/30] add logging

---
 src/ariadne_roots/quantify.py | 8 ++++++++
 1 file changed, 8 insertions(+)

diff --git a/src/ariadne_roots/quantify.py b/src/ariadne_roots/quantify.py
index 1f94aaa..6f740db 100644
--- a/src/ariadne_roots/quantify.py
+++ b/src/ariadne_roots/quantify.py
@@ -13,6 +13,7 @@
 import copy
 import networkx as nx
 import math
+import logging
 
 from queue import Queue
 from scipy.spatial import ConvexHull  # Import ConvexHull class
@@ -29,6 +30,13 @@
 # parser.add_argument('-i', '--input', help='Full path to input file', required=True)
 # args = parser.parse_args()
 
+# Set up logging
+logging.basicConfig(
+    level=logging.DEBUG,
+    format="%(asctime)s - %(levelname)s - %(message)s",
+    handlers=[logging.StreamHandler()],
+)
+
 
 def distance(p1, p2):
     """Compute 2D Euclidian distance between two (x,y) points."""

From 010c22c8910f448344652754ce9849c6925a8ba9 Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Sat, 11 Jan 2025 20:02:26 -0800
Subject: [PATCH 24/30] improve plot

---
 src/ariadne_roots/quantify.py | 65 +++++++++++++++++++++++++++++------
 1 file changed, 54 insertions(+), 11 deletions(-)

diff --git a/src/ariadne_roots/quantify.py b/src/ariadne_roots/quantify.py
index 6f740db..3850182 100644
--- a/src/ariadne_roots/quantify.py
+++ b/src/ariadne_roots/quantify.py
@@ -382,32 +382,75 @@ def plot_all_3d(front_3d, actual_3d, randoms_3d, mrand, srand, prand, save_path)
     """
     fig = plt.figure()
     ax = fig.add_subplot(111, projection="3d")
-    ax.set_xlabel("Total root length", fontsize=15)
-    ax.set_ylabel("Travel distance", fontsize=15)
-    ax.set_zlabel("Path coverage", fontsize=15)
 
-    # Extract the x, y, and z values for the front
+    # Set labels and title
+    ax.set_xlabel("Total Root Length", fontsize=12, labelpad=10)
+    ax.set_ylabel("Travel Distance", fontsize=12, labelpad=10)
+    ax.set_zlabel("Path Coverage", fontsize=12, labelpad=10)
+    ax.set_title("3D Pareto Front Visualization", fontsize=15, pad=20)
+
+    logging.debug(f"Front 3D: {front_3d}")
+
+    # Extract x, y, z values for the front
     x_values = [x[0] for x in front_3d.values()]
     y_values = [x[1] for x in front_3d.values()]
     z_values = [x[2] for x in front_3d.values()]
 
     # Plot the front_3d
     ax.plot(
-        x_values, y_values, z_values, marker="s", linestyle="-", markeredgecolor="black"
+        x_values,
+        y_values,
+        z_values,
+        marker="o",
+        linestyle="-",
+        color="blue",
+        label="Pareto Front",
     )
 
     # Plot the actual plant
-    ax.plot([actual_3d[0]], [actual_3d[1]], [actual_3d[2]], marker="x", markersize=12)
+    ax.scatter(
+        [actual_3d[0]],
+        [actual_3d[1]],
+        [actual_3d[2]],
+        color="orange",
+        marker="X",
+        s=100,
+        label="Actual Plant",
+    )
 
     # Plot the random tree costs
-    for i in randoms_3d:
-        ax.plot([i[0]], [i[1]], [i[2]], marker="+", color="green", markersize=4)
+    randoms_3d_array = np.array(randoms_3d)
+    ax.scatter(
+        randoms_3d_array[:, 0],
+        randoms_3d_array[:, 1],
+        randoms_3d_array[:, 2],
+        color="green",
+        marker="+",
+        s=50,
+        alpha=0.6,
+        label="Random Trees",
+    )
+
+    # Plot the centroid of random trees
+    ax.scatter(
+        [mrand],
+        [srand],
+        [prand],
+        color="red",
+        marker="D",
+        s=80,
+        label="Random Trees Centroid",
+    )
 
-    # Plot the 3d centroid of the random trees
-    ax.plot([mrand], [srand], [prand], marker="+", color="red", markersize=12)
+    # Add legend
+    ax.legend(loc="best", fontsize=10)
 
-    # Save the plot
+    # Enable grid and adjust scaling
+    ax.grid(True, linestyle="--", linewidth=0.5, alpha=0.7)
+
+    # Save and show the plot
     plt.savefig(save_path, bbox_inches="tight", dpi=300)
+    plt.show()
     print(f"Plot saved to {save_path}")
 
 

From 9f84ab633741916acaa22762b80229aba6ee81c1 Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Sun, 12 Jan 2025 18:23:36 -0800
Subject: [PATCH 25/30] add function to make a graph from a json file

---
 src/ariadne_roots/main.py | 16 ++++++++++++++++
 1 file changed, 16 insertions(+)

diff --git a/src/ariadne_roots/main.py b/src/ariadne_roots/main.py
index c71181f..48108c7 100755
--- a/src/ariadne_roots/main.py
+++ b/src/ariadne_roots/main.py
@@ -994,6 +994,22 @@ def index_LRs(self):
                 q.put(n)
 
 
+# Helper functions
+def get_graph_from_json(json_file):
+    """Load a JSON file and convert it to a NetworkX graph.
+    
+    Args:
+        json_file (str): Path to the JSON file.
+        
+    Returns:
+        nx.Graph: A NetworkX graph object.
+    """
+    with open(json_file, mode="r") as h:
+        data = json.load(h)
+        graph = json_graph.adjacency_graph(data)
+
+    return graph
+
 class AnalyzerUI(tk.Frame):
     """Analysis mode interface."""
 

From a13d987a6a95de6828b4b7b46c03a99de08e32c7 Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Sun, 12 Jan 2025 18:24:54 -0800
Subject: [PATCH 26/30] use helper function

---
 src/ariadne_roots/main.py | 90 +++++++++++++++++++--------------------
 1 file changed, 44 insertions(+), 46 deletions(-)

diff --git a/src/ariadne_roots/main.py b/src/ariadne_roots/main.py
index 48108c7..7731451 100755
--- a/src/ariadne_roots/main.py
+++ b/src/ariadne_roots/main.py
@@ -1073,7 +1073,7 @@ def import_file(self):
             graph_name_noext = graph_name[:-5]
             pareto_name = graph_name_noext + "_pareto.png"
             pareto_3d_name = graph_name_noext + "_pareto_3d.png"
-            # plot_name = graph_name_noext + '_tree.png'
+
             pareto_path = self.output_path / pareto_name
             pareto_3d_path = self.output_path / pareto_3d_name
 
@@ -1081,58 +1081,56 @@ def import_file(self):
             self.output_info = self.output_info + "\n" + graph_name
             self.output.config(text=self.output_info)
 
-            # load and process graph data
-            with open(json_file, mode="r") as h:
-                data = json.load(h)
-                graph = json_graph.adjacency_graph(data)
-
-                # perform analysis
-                results, front, randoms, results_3d, front_3d, randoms_3d = quantify.analyze(graph)
-                results["filename"] = graph_name_noext
-                results_3d["filename"] = graph_name_noext
+            # load json file and convert to graph
+            graph = get_graph_from_json(json_file)
 
-                # Open the CSV file and write the header only once
-                with open(report_dest, "a", encoding="utf-8", newline="") as csvfile:
-                    if i == 1:  # Write header only for the first file
-                        w = csv.DictWriter(csvfile, fieldnames=results.keys())
-                        w.writeheader()
+            # perform analysis
+            results, front, randoms, results_3d, front_3d, randoms_3d = quantify.analyze(graph)
+            results["filename"] = graph_name_noext
+            results_3d["filename"] = graph_name_noext
 
-                    # Write results to the CSV for each file
+            # Open the CSV file and write the header only once
+            with open(report_dest, "a", encoding="utf-8", newline="") as csvfile:
+                if i == 1:  # Write header only for the first file
                     w = csv.DictWriter(csvfile, fieldnames=results.keys())
-                    w.writerow(results)
+                    w.writeheader()
 
-                with open(report_3d_dest, "a", encoding="utf-8", newline="") as csvfile:
-                    if i == 1:
-                        w = csv.DictWriter(csvfile, fieldnames=results_3d.keys())
-                        w.writeheader()
-                    
-                    w = csv.DictWriter(csvfile, fieldnames=results_3d.keys())
-                    w.writerow(results_3d)
+                # Write results to the CSV for each file
+                w = csv.DictWriter(csvfile, fieldnames=results.keys())
+                w.writerow(results)
 
+            with open(report_3d_dest, "a", encoding="utf-8", newline="") as csvfile:
+                if i == 1:
+                    w = csv.DictWriter(csvfile, fieldnames=results_3d.keys())
+                    w.writeheader()
+                
+                w = csv.DictWriter(csvfile, fieldnames=results_3d.keys())
+                w.writerow(results_3d)
+
+
+            # make pareto plot and save
+            quantify.plot_all(
+                front,
+                [results["Total root length"], results["Travel distance"]],
+                randoms,
+                results["Total root length (random)"],
+                results["Travel distance (random)"],
+                pareto_path,
+            )
 
-                # make pareto plot and save
-                quantify.plot_all(
-                    front,
-                    [results["Total root length"], results["Travel distance"]],
-                    randoms,
-                    results["Total root length (random)"],
-                    results["Travel distance (random)"],
-                    pareto_path,
-                )
-
-                # make 3D pareto plot and save
-                quantify.plot_all_3d(
-                    front_3d,
-                    [results_3d["Total root length"], results_3d["Travel distance"], results_3d["Path tortuosity"]],
-                    randoms_3d,
-                    results_3d["Total root length (random)"],
-                    results_3d["Travel distance (random)"],
-                    results_3d["Path tortuosity"],
-                    pareto_3d_path,
-                )
+            # make 3D pareto plot and save
+            quantify.plot_all_3d(
+                front_3d,
+                [results_3d["Total root length"], results_3d["Travel distance"], results_3d["Path tortuosity"]],
+                randoms_3d,
+                results_3d["Total root length (random)"],
+                results_3d["Travel distance (random)"],
+                results_3d["Path tortuosity"],
+                pareto_3d_path,
+            )
 
-                print(f"Processed file {i}/{len(self.tree_paths)}")
-                i += 1
+            print(f"Processed file {i}/{len(self.tree_paths)}")
+            i += 1
 
         # show confirmation message
         print("Finished.")

From 3d5c78bb061cce5fa20d5746f33618e7b5dba26d Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Sun, 12 Jan 2025 18:25:14 -0800
Subject: [PATCH 27/30] adding function for plotting graph

---
 src/ariadne_roots/quantify.py | 117 +++++++++++++++++++++++++++++++++-
 1 file changed, 116 insertions(+), 1 deletion(-)

diff --git a/src/ariadne_roots/quantify.py b/src/ariadne_roots/quantify.py
index 3850182..5600794 100644
--- a/src/ariadne_roots/quantify.py
+++ b/src/ariadne_roots/quantify.py
@@ -196,6 +196,121 @@ def make_graph_alt(target):
     return G
 
 
+def plot_graph(
+    G,
+    node_size_factor=20,
+    node_base_size=2,
+    edge_width_factor=1.0,
+    base_node_color="#2E8B57",
+    secondary_node_color="#A0522D",
+    edge_color="#3D2B1F",
+    with_labels=False,
+    title="Root System Graph",
+    figsize=(10, 15),
+    show_grid=True,
+    save_path=None,
+):
+    """Plots a root-system graph using node positions from their attributes, with axes and optional grid.
+
+    Args:
+        G (networkx.DiGraph): The graph to be plotted. Must have node positions stored 
+            as attributes. Assumes the graph is directed.
+        node_size_factor (float, optional): Multiplier for node sizes based on degree. 
+            Defaults to 20.
+        node_base_size (int, optional): Base size for all nodes. 
+            Defaults to 2.
+        edge_width_factor (float, optional): Multiplier for edge widths. 
+            Defaults to 1.0.
+        base_node_color (str, optional): Color for the base node (node 0). 
+            Defaults to "#2E8B57".
+        secondary_node_color (str, optional): Color for all other nodes. 
+            Defaults to "#A0522D".
+        edge_color (str, optional): Color of the edges. Defaults to 
+            "#3D2B1F".
+        with_labels (bool, optional): Whether to display labels on nodes. 
+            Defaults to False.
+        title (str, optional): Title for the plot. Defaults to "Root System Graph".
+        figsize (tuple, optional): Size of the plot figure (width, height). 
+            Defaults to (10, 15).
+        show_grid (bool, optional): Whether to display a grid. Defaults to True.
+        save_path (str, optional): The file path to save the plot. Defaults to None.
+
+    Raises:
+        ValueError: If any node is missing a "pos" attribute.
+
+    Returns:
+        Tuple[matplotlib.figure.Figure, matplotlib.axes.Axes]:
+            The matplotlib figure and axes objects for further customization.
+    """
+    # Extract positions from the nodes' "pos" attribute
+    try:
+        pos = nx.get_node_attributes(G, "pos")
+        logging.debug(f"Node positions: {pos}")
+        if len(pos) != len(G.nodes()):
+            raise ValueError("Not all nodes have a 'pos' attribute.")
+    except KeyError:
+        raise ValueError("Nodes must have a 'pos' attribute for plotting.")
+
+    # Define the base node explicitly as node 0
+    base_node = 0
+    if base_node not in G.nodes():
+        raise ValueError("Node 0 (base node) is not present in the graph.")
+
+    # Node sizes and colors
+    node_sizes = [
+        node_base_size + G.degree(n) * node_size_factor for n in G.nodes()
+    ]
+    node_colors = [
+        base_node_color if n == base_node else secondary_node_color
+        for n in G.nodes()
+    ]
+
+    # Edge widths
+    edge_widths = [
+        edge_width_factor * G[u][v].get("weight", 1) for u, v in G.edges()
+    ]
+
+    # Create a matplotlib figure and axes
+    fig, ax = plt.subplots(figsize=figsize)
+
+    # Draw the graph on the given axes
+    nx.draw(
+        G,
+        pos,
+        ax,
+        with_labels=with_labels,
+        node_size=node_sizes,
+        node_color=node_colors,
+        edge_color=edge_color,
+        width=edge_widths,
+        arrows=True,  # Show direction since the graph is directed
+    )
+
+    # Invert the y-axis to match the coordinate system
+    ax.invert_yaxis()
+
+    # Add x and y axes to plot
+    ax.set_axis_on()
+    ax.tick_params(left=True, bottom=True, labelleft=True, labelbottom=True)
+    # Set grid and axis labels
+    if show_grid:
+        ax.grid(color="lightgray", linestyle="--", linewidth=0.5)
+    ax.set_aspect("equal", adjustable="datalim")
+    ax.set_xlabel("X Position", fontsize=12)
+    ax.set_ylabel("Y Position", fontsize=12)
+
+    # Add title
+    ax.set_title(title, fontsize=14)
+
+    # Save the plot if a save path is provided
+    if save_path:
+        plt.savefig(save_path, bbox_inches="tight", dpi=300, facecolor="w")
+        print(f"Plot saved to {save_path}")
+
+    return fig, ax
+
+
+
 def save_plot(path, name, title):
     """Plot a Pareto front and save to .jpg."""
 
@@ -523,7 +638,7 @@ def pareto_calcs(H):
     mactual, sactual = actual
 
     # for debug: show total_root_length, total_travel_distance
-    print(list(front.items())[0:5])
+    # print(list(front.items())[0:5])
 
     plant_alpha, plant_scaling = distance_from_front(front, actual)
     randoms = random_tree(H)

From 97b1de5a5d233b80449f9df9a66544b32bfaf927 Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Sun, 12 Jan 2025 18:59:50 -0800
Subject: [PATCH 28/30] update plot with critical nodes

---
 src/ariadne_roots/quantify.py | 22 ++++++++++++++++------
 1 file changed, 16 insertions(+), 6 deletions(-)

diff --git a/src/ariadne_roots/quantify.py b/src/ariadne_roots/quantify.py
index 5600794..e3824e6 100644
--- a/src/ariadne_roots/quantify.py
+++ b/src/ariadne_roots/quantify.py
@@ -23,6 +23,7 @@
     random_tree,
     pareto_front_3d_path_tortuosity,
     random_tree_3d_path_tortuosity,
+    get_critical_nodes,
 )
 
 
@@ -204,6 +205,7 @@ def plot_graph(
     base_node_color="#2E8B57",
     secondary_node_color="#A0522D",
     edge_color="#3D2B1F",
+    critical_node_color="#FF0000",
     with_labels=False,
     title="Root System Graph",
     figsize=(10, 15),
@@ -227,6 +229,8 @@ def plot_graph(
             Defaults to "#A0522D".
         edge_color (str, optional): Color of the edges. Defaults to 
             "#3D2B1F".
+        critical_node_color (str, optional): Color for nodes with degree == 1 (critical nodes). 
+            Defaults to "#FF0000".
         with_labels (bool, optional): Whether to display labels on nodes. 
             Defaults to False.
         title (str, optional): Title for the plot. Defaults to "Root System Graph".
@@ -245,7 +249,6 @@ def plot_graph(
     # Extract positions from the nodes' "pos" attribute
     try:
         pos = nx.get_node_attributes(G, "pos")
-        logging.debug(f"Node positions: {pos}")
         if len(pos) != len(G.nodes()):
             raise ValueError("Not all nodes have a 'pos' attribute.")
     except KeyError:
@@ -256,14 +259,20 @@ def plot_graph(
     if base_node not in G.nodes():
         raise ValueError("Node 0 (base node) is not present in the graph.")
 
-    # Node sizes and colors
+    # Node sizes
     node_sizes = [
         node_base_size + G.degree(n) * node_size_factor for n in G.nodes()
     ]
-    node_colors = [
-        base_node_color if n == base_node else secondary_node_color
-        for n in G.nodes()
-    ]
+
+    # Assign node colors based on conditions
+    node_colors = []
+    for n in G.nodes():
+        if n == base_node:
+            node_colors.append(base_node_color)  # Base node
+        elif G.degree(n) == 1:
+            node_colors.append(critical_node_color)  # critical nodes
+        else:
+            node_colors.append(secondary_node_color)  # Other nodes
 
     # Edge widths
     edge_widths = [
@@ -292,6 +301,7 @@ def plot_graph(
     # Add x and y axes to plot
     ax.set_axis_on()
     ax.tick_params(left=True, bottom=True, labelleft=True, labelbottom=True)
+
     # Set grid and axis labels
     if show_grid:
         ax.grid(color="lightgray", linestyle="--", linewidth=0.5)

From 032d7f245e4e637f87da7b0a3e87e76757d85f2f Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Sun, 12 Jan 2025 21:23:10 -0800
Subject: [PATCH 29/30] add jupyter notebook for now

---
 analysis_20250112.ipynb | 5166 +++++++++++++++++++++++++++++++++++++++
 1 file changed, 5166 insertions(+)
 create mode 100644 analysis_20250112.ipynb

diff --git a/analysis_20250112.ipynb b/analysis_20250112.ipynb
new file mode 100644
index 0000000..48e47c2
--- /dev/null
+++ b/analysis_20250112.ipynb
@@ -0,0 +1,5166 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "import glob\n",
+    "import networkx as nx\n",
+    "\n",
+    "from pathlib import Path\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# ariadne imports\n",
+    "from ariadne_roots.main import get_graph_from_json\n",
+    "from ariadne_roots.quantify import plot_graph, analyze\n",
+    "from ariadne_roots.pareto_functions import pareto_front_3d_path_tortuosity"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "skeletons_dir = \"C:/Users/eb/Desktop/root_phenotyping/ariadne_work/Re__Ref/BRZ_OUTPUT/BRZ_OUTPUT\"\n",
+    "output_dir = \"C:/Users/eb/Desktop/root_phenotyping/ariadne_work/analysis_20250112\""
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Make sure the output directory exists\n",
+    "Path(output_dir).mkdir(parents=True, exist_ok=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# find the json files\n",
+    "json_files = json_files = list(Path(skeletons_dir).rglob(\"*.json\"))\n",
+    "\n",
+    "# load the graphs\n",
+    "graphs = [get_graph_from_json(json_file.as_posix()) for json_file in json_files]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Work with first file in list"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "'C:/Users/eb/Desktop/root_phenotyping/ariadne_work/Re__Ref/BRZ_OUTPUT/BRZ_OUTPUT/_set1_day1_20230509-125420_013_plantE_day11.json'"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "json_files[0].as_posix()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "DiGraph with 146 nodes and 145 edges\n"
+     ]
+    }
+   ],
+   "source": [
+    "graph = graphs[0]\n",
+    "print(graph)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-01-12 20:39:38,571 - DEBUG - Loaded backend module://matplotlib_inline.backend_inline version unknown.\n",
+      "2025-01-12 20:39:38,572 - DEBUG - Loaded backend module://matplotlib_inline.backend_inline version unknown.\n",
+      "2025-01-12 20:39:38,576 - DEBUG - findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0.\n",
+      "2025-01-12 20:39:38,576 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,577 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,577 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,578 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,578 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,578 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,578 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,579 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,580 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,581 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,581 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,581 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,582 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,582 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,583 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,583 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n",
+      "2025-01-12 20:39:38,583 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,584 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n",
+      "2025-01-12 20:39:38,584 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,585 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,585 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,586 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,586 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,586 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,589 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,589 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,590 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n",
+      "2025-01-12 20:39:38,590 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n",
+      "2025-01-12 20:39:38,591 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,591 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,591 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,592 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,593 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,593 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,594 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,594 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,595 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,595 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,596 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CascadiaCode.ttf', name='Cascadia Code', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,596 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,597 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,597 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,598 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,598 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,599 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,600 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,600 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,602 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,603 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,603 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,604 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,604 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:38,604 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,605 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,605 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,606 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n",
+      "2025-01-12 20:39:38,606 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n",
+      "2025-01-12 20:39:38,607 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,607 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,609 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,609 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:38,609 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,610 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,611 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,611 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,612 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,612 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n",
+      "2025-01-12 20:39:38,612 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,613 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635\n",
+      "2025-01-12 20:39:38,613 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n",
+      "2025-01-12 20:39:38,614 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,614 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,614 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,615 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,615 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:38,616 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,616 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,617 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,617 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637\n",
+      "2025-01-12 20:39:38,618 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,618 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,619 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,619 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,619 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,620 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,620 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,620 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,621 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,621 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,621 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:38,622 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,624 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,624 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,625 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,625 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,626 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,626 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,626 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,627 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n",
+      "2025-01-12 20:39:38,628 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,628 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,629 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 20:39:38,629 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,630 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,630 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975\n",
+      "2025-01-12 20:39:38,630 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,631 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,631 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,632 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,632 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,633 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,633 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:38,634 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,634 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,634 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:38,635 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,635 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,636 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,636 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,636 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,637 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,637 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,638 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,638 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545\n",
+      "2025-01-12 20:39:38,638 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:38,638 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,639 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,639 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:38,640 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,640 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,640 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,641 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,641 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:38,642 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,642 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,643 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,643 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,644 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:38,644 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:38,644 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:38,645 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,645 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,645 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,646 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,646 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635\n",
+      "2025-01-12 20:39:38,647 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,647 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:38,648 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,648 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,648 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,649 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,651 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,651 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,651 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n",
+      "2025-01-12 20:39:38,652 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,657 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363\n",
+      "2025-01-12 20:39:38,657 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:38,657 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,657 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,659 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,660 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NirmalaS.ttf', name='Nirmala UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975\n",
+      "2025-01-12 20:39:38,660 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,660 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,661 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,662 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,662 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,662 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,663 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,665 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:38,665 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,666 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:38,666 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,666 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,667 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 20:39:38,667 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,667 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:38,668 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,668 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364\n",
+      "2025-01-12 20:39:38,669 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,669 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,671 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975\n",
+      "2025-01-12 20:39:38,671 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,672 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,672 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,673 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,673 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,674 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,674 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,675 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,675 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,676 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,676 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:38,677 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,677 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,678 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:38,678 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,679 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975\n",
+      "2025-01-12 20:39:38,680 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,680 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,680 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,681 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363\n",
+      "2025-01-12 20:39:38,682 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,682 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,682 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,683 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,683 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\holomdl2.ttf', name='HoloLens MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,684 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,684 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,685 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,685 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:38,686 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:38,686 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,687 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,687 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,688 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,688 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,689 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,689 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:38,690 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:38,690 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,691 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,691 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,691 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,691 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,692 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,694 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:38,694 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,694 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,695 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,695 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:38,696 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,696 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,697 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545\n",
+      "2025-01-12 20:39:38,697 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,697 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,698 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,698 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,699 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,699 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,699 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 20:39:38,700 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,700 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,700 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,701 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n",
+      "2025-01-12 20:39:38,701 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,702 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,702 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,702 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:38,703 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:38,703 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:38,703 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,704 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,704 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,704 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,707 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365\n",
+      "2025-01-12 20:39:38,707 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,707 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,709 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,709 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,710 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,710 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,711 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,711 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363\n",
+      "2025-01-12 20:39:38,712 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,712 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,712 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n",
+      "2025-01-12 20:39:38,713 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,713 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,714 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,715 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,715 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:38,715 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,716 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,716 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,716 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,717 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,718 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,718 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,719 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,719 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,719 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,720 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,720 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,720 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,722 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,722 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,723 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,723 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,724 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,724 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,724 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,725 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363\n",
+      "2025-01-12 20:39:38,725 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NirmalaB.ttf', name='Nirmala UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,726 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n",
+      "2025-01-12 20:39:38,726 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,726 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,727 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,728 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:38,729 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,729 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:38,730 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365\n",
+      "2025-01-12 20:39:38,730 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,730 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,731 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,732 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,732 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,732 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,733 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,733 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363\n",
+      "2025-01-12 20:39:38,734 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,734 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,734 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,735 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,735 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,736 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,736 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,736 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,737 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,737 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CascadiaMono.ttf', name='Cascadia Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,739 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,739 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 20:39:38,739 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,741 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,741 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,741 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,742 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,742 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,743 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,744 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:38,744 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,745 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,745 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,746 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,746 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367\n",
+      "2025-01-12 20:39:38,747 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:38,747 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,748 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,748 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,748 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,748 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,749 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,749 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,750 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n",
+      "2025-01-12 20:39:38,750 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,751 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,751 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,751 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:38,752 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,752 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:38,753 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,753 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,754 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,754 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,755 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,756 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,757 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,757 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,757 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,758 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,758 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:38,759 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363\n",
+      "2025-01-12 20:39:38,760 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,760 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:38,761 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,761 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,762 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,762 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,763 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Nirmala.ttf', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,763 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,763 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,764 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,765 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,765 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,765 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,766 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:38,766 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:38,766 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:38,767 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:38,767 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:38,769 - DEBUG - findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=10.0 to DejaVu Sans ('c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans.ttf') with score of 0.050000.\n",
+      "2025-01-12 20:39:39,061 - DEBUG - findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0.\n",
+      "2025-01-12 20:39:39,061 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,063 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,063 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,064 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,064 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,065 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,065 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,066 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,066 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,066 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,067 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,067 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,068 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,068 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,068 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,068 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n",
+      "2025-01-12 20:39:39,069 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,069 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n",
+      "2025-01-12 20:39:39,069 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,070 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,071 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,071 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,071 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,073 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,073 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,074 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,074 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n",
+      "2025-01-12 20:39:39,075 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n",
+      "2025-01-12 20:39:39,075 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,075 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,076 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,076 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,077 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,077 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,078 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,078 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,078 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,079 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,079 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CascadiaCode.ttf', name='Cascadia Code', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,079 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,080 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,080 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,081 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,081 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,081 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,082 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,082 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,083 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,083 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,083 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,084 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,085 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,085 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,085 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,086 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,086 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n",
+      "2025-01-12 20:39:39,087 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n",
+      "2025-01-12 20:39:39,087 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,087 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,088 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,088 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,089 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,089 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,090 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,090 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,090 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,091 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n",
+      "2025-01-12 20:39:39,091 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,092 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635\n",
+      "2025-01-12 20:39:39,092 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n",
+      "2025-01-12 20:39:39,093 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,094 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,095 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,095 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,095 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,096 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,096 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,097 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,097 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637\n",
+      "2025-01-12 20:39:39,097 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,099 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,100 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,101 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,102 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,102 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,102 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,103 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,103 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,107 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,107 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:39,108 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,108 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,108 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,109 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,109 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,110 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,110 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,111 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,111 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n",
+      "2025-01-12 20:39:39,112 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,112 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,113 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 20:39:39,113 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,114 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,114 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975\n",
+      "2025-01-12 20:39:39,115 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,115 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,116 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,116 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,117 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,117 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,118 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:39,118 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,118 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,118 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,120 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,120 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,120 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,121 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,121 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,122 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,122 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,122 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,123 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545\n",
+      "2025-01-12 20:39:39,124 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,124 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,124 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,125 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,125 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,125 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,127 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,127 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,127 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:39,128 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,128 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,129 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,130 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,130 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:39,130 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,131 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,131 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,132 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,132 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,133 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,133 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635\n",
+      "2025-01-12 20:39:39,133 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,134 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,134 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,135 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,135 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,136 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,136 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,136 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,137 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n",
+      "2025-01-12 20:39:39,137 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,138 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363\n",
+      "2025-01-12 20:39:39,138 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,138 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,139 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,139 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,140 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NirmalaS.ttf', name='Nirmala UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975\n",
+      "2025-01-12 20:39:39,140 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,141 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,142 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,142 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,143 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,144 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,144 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,145 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:39,145 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,146 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,146 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,147 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,147 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 20:39:39,147 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,147 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,149 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,149 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364\n",
+      "2025-01-12 20:39:39,150 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,150 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,150 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975\n",
+      "2025-01-12 20:39:39,151 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,152 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,152 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,152 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,153 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,153 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,153 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,154 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,154 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,155 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,156 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:39,156 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,157 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,157 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:39,158 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,158 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975\n",
+      "2025-01-12 20:39:39,159 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,159 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,160 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,160 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363\n",
+      "2025-01-12 20:39:39,161 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,161 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,161 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,163 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,163 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\holomdl2.ttf', name='HoloLens MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,164 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,164 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,165 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,165 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,166 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,166 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,167 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,167 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,167 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,168 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,168 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,168 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,169 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,170 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,170 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,170 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,171 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,171 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,172 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,172 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,173 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,173 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,174 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,174 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:39,175 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,175 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,176 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545\n",
+      "2025-01-12 20:39:39,176 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,177 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,177 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,178 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,178 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,179 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,179 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 20:39:39,180 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,180 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,181 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,182 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n",
+      "2025-01-12 20:39:39,182 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,182 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,183 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,183 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,184 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,184 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,185 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,185 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,186 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,187 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,187 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365\n",
+      "2025-01-12 20:39:39,187 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,188 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,188 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,188 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,188 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,190 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,190 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,191 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363\n",
+      "2025-01-12 20:39:39,191 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,192 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,192 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n",
+      "2025-01-12 20:39:39,193 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,193 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,194 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,194 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,195 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,196 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,196 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,196 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,197 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,197 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,198 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,198 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,198 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,199 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,200 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,200 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,200 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,201 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,201 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,202 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,202 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,202 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,203 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,203 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,204 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,205 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363\n",
+      "2025-01-12 20:39:39,205 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NirmalaB.ttf', name='Nirmala UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,206 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n",
+      "2025-01-12 20:39:39,206 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,207 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,207 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,208 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,208 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,208 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,209 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365\n",
+      "2025-01-12 20:39:39,210 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,210 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,211 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,212 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,212 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,213 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,213 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,214 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363\n",
+      "2025-01-12 20:39:39,214 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,215 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,215 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,215 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,216 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,216 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,216 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,217 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,217 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,218 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CascadiaMono.ttf', name='Cascadia Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,218 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,219 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 20:39:39,219 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,219 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,220 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,220 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,221 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,221 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,221 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,222 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,223 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,223 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,224 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,224 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,225 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367\n",
+      "2025-01-12 20:39:39,226 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,226 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,227 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,227 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,228 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,228 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,229 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,230 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,230 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n",
+      "2025-01-12 20:39:39,231 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,231 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,231 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,232 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,232 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,233 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:39,233 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,234 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,234 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,234 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,235 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,235 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,236 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,236 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,237 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,237 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,237 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:39,239 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363\n",
+      "2025-01-12 20:39:39,239 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,240 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:39,240 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,241 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,242 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,242 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,243 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Nirmala.ttf', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,243 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,244 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,244 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,245 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,245 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,246 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,246 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,246 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:39,247 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,247 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,247 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,248 - DEBUG - findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=12.0 to DejaVu Sans ('c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans.ttf') with score of 0.050000.\n",
+      "2025-01-12 20:39:39,250 - DEBUG - findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=14.0.\n",
+      "2025-01-12 20:39:39,250 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,251 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,251 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,252 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,252 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,252 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,253 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,253 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,254 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,254 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,255 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,255 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,256 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,256 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,257 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,257 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n",
+      "2025-01-12 20:39:39,258 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,258 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n",
+      "2025-01-12 20:39:39,259 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,260 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,260 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,261 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,261 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,262 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,262 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,263 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,263 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n",
+      "2025-01-12 20:39:39,264 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n",
+      "2025-01-12 20:39:39,264 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,264 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,265 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,265 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,266 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,266 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,266 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,267 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,268 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,268 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,269 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CascadiaCode.ttf', name='Cascadia Code', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,269 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,269 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,270 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,270 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,271 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,271 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,272 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,273 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,273 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,274 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,275 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,275 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,275 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,276 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,276 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,277 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,277 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n",
+      "2025-01-12 20:39:39,278 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n",
+      "2025-01-12 20:39:39,278 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,278 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,279 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,280 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,280 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,281 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,282 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,282 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,282 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,283 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n",
+      "2025-01-12 20:39:39,283 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,283 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635\n",
+      "2025-01-12 20:39:39,284 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n",
+      "2025-01-12 20:39:39,284 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,285 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,285 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,286 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,286 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,286 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,287 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,288 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,288 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637\n",
+      "2025-01-12 20:39:39,288 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,288 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,289 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,290 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,291 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,291 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,292 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,292 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,292 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,293 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,294 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:39,294 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,295 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,295 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,295 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,296 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,296 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,296 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,297 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,297 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n",
+      "2025-01-12 20:39:39,298 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,299 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,299 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 20:39:39,300 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,300 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,301 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975\n",
+      "2025-01-12 20:39:39,301 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,302 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,302 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,303 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,303 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,304 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,305 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:39,305 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,306 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,306 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,306 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,307 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,307 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,308 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,308 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,308 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,309 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,310 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,310 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545\n",
+      "2025-01-12 20:39:39,311 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,312 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,312 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,312 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,313 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,313 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,313 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,314 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,314 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:39,314 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,315 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,315 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,316 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,316 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:39,317 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,317 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,318 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,318 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,318 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,318 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,319 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635\n",
+      "2025-01-12 20:39:39,320 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,320 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,320 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,321 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,321 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,321 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,322 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,323 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,323 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n",
+      "2025-01-12 20:39:39,323 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,324 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363\n",
+      "2025-01-12 20:39:39,324 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,325 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,325 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,326 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,326 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NirmalaS.ttf', name='Nirmala UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975\n",
+      "2025-01-12 20:39:39,327 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,328 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,328 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,329 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,329 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,330 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,330 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,331 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:39,332 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,332 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,332 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,334 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,335 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 20:39:39,335 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,336 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,336 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,337 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364\n",
+      "2025-01-12 20:39:39,338 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,338 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,338 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975\n",
+      "2025-01-12 20:39:39,340 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,366 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,367 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,367 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,368 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,368 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,368 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,369 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,369 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,369 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,370 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:39,370 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,371 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,371 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:39,372 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,372 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975\n",
+      "2025-01-12 20:39:39,373 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,373 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,374 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,374 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363\n",
+      "2025-01-12 20:39:39,375 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,375 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,376 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,376 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,376 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\holomdl2.ttf', name='HoloLens MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,377 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,377 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,378 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,378 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,378 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,378 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,378 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,379 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,379 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,380 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,381 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,381 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,381 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,382 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,382 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,382 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,383 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,383 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,384 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,384 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,384 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,385 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,385 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,385 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:39,386 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,386 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,386 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545\n",
+      "2025-01-12 20:39:39,387 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,387 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,387 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,388 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,388 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,388 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,388 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 20:39:39,389 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,389 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,389 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,394 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n",
+      "2025-01-12 20:39:39,394 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,396 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,397 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,398 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,398 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,399 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,400 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,400 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,400 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,402 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,402 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365\n",
+      "2025-01-12 20:39:39,403 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,403 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,407 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,407 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,410 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,410 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,410 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,411 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363\n",
+      "2025-01-12 20:39:39,411 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,411 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,412 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n",
+      "2025-01-12 20:39:39,412 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,413 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,413 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,418 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,419 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,420 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,420 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,420 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,421 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,421 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,422 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,423 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,424 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,424 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,425 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,425 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,425 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,426 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,426 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,427 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,427 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,428 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,428 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,429 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,430 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,431 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363\n",
+      "2025-01-12 20:39:39,432 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NirmalaB.ttf', name='Nirmala UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,432 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n",
+      "2025-01-12 20:39:39,432 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,433 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,433 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,434 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,434 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,435 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,435 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365\n",
+      "2025-01-12 20:39:39,436 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,437 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,437 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,438 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,438 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,438 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,439 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,440 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363\n",
+      "2025-01-12 20:39:39,441 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,441 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,441 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,442 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,443 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,443 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,444 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,444 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,444 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,445 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CascadiaMono.ttf', name='Cascadia Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,446 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,446 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 20:39:39,446 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,447 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,448 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,448 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,448 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,448 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,449 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,450 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,450 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,450 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,451 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,451 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,452 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367\n",
+      "2025-01-12 20:39:39,452 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 20:39:39,452 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,453 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,453 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,453 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,454 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,454 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,456 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,456 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n",
+      "2025-01-12 20:39:39,457 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,457 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,458 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,458 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 20:39:39,458 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,460 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:39,460 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,461 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,461 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,461 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,462 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,462 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,463 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,463 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,463 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,465 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,465 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:39,465 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363\n",
+      "2025-01-12 20:39:39,466 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,466 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 20:39:39,467 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,467 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,468 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,468 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,469 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Nirmala.ttf', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,470 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,470 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,470 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,470 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,471 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,472 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,472 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 20:39:39,472 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 20:39:39,473 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 20:39:39,474 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 20:39:39,474 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 20:39:39,475 - DEBUG - findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=14.0 to DejaVu Sans ('c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans.ttf') with score of 0.050000.\n"
+     ]
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Plot saved to C:\\Users\\eb\\Desktop\\root_phenotyping\\ariadne_work\\analysis_20250112\\graph_plot.png\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x2000 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "save_path = Path(output_dir) / \"graph_plot.png\"\n",
+    "graph_plot = plot_graph(graph, node_size_factor=20, node_base_size=2, with_labels=True, figsize=(10, 20), save_path=save_path)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{0: [0, 0],\n",
+       " 1: [-4.0, 11.0],\n",
+       " 2: [-5.0, 28.0],\n",
+       " 3: [-10.0, 51.0],\n",
+       " 4: [-15.0, 76.0],\n",
+       " 5: [-24.0, 97.0],\n",
+       " 6: [-26.0, 123.0],\n",
+       " 7: [-41.0, 158.0],\n",
+       " 8: [-35.0, 195.0],\n",
+       " 9: [-28.0, 245.0],\n",
+       " 10: [-24.0, 266.0],\n",
+       " 11: [-13.0, 304.0],\n",
+       " 12: [1.0, 341.0],\n",
+       " 13: [10.0, 369.0],\n",
+       " 14: [16.0, 402.0],\n",
+       " 15: [16.0, 441.0],\n",
+       " 16: [20.0, 477.0],\n",
+       " 17: [20.0, 503.0],\n",
+       " 18: [-2.0, 546.0],\n",
+       " 19: [-10.0, 588.0],\n",
+       " 20: [-8.0, 652.0],\n",
+       " 21: [-40.0, 30.0],\n",
+       " 22: [-73.0, 72.0],\n",
+       " 23: [-97.0, 117.0],\n",
+       " 24: [-100.0, 183.0],\n",
+       " 25: [-124.0, 217.0],\n",
+       " 26: [-159.0, 248.0],\n",
+       " 27: [-179.0, 274.0],\n",
+       " 28: [-69.0, 211.0],\n",
+       " 29: [-93.0, 237.0],\n",
+       " 30: [-98.0, 273.0],\n",
+       " 31: [-97.0, 346.0],\n",
+       " 32: [-106.0, 399.0],\n",
+       " 33: [-95.0, 450.0],\n",
+       " 34: [-89.0, 490.0],\n",
+       " 35: [-86.0, 531.0],\n",
+       " 36: [-92.0, 578.0],\n",
+       " 37: [-80.0, 667.0],\n",
+       " 38: [17.0, 95.0],\n",
+       " 39: [17.0, 148.0],\n",
+       " 40: [2.0, 183.0],\n",
+       " 41: [-58.0, 257.0],\n",
+       " 42: [-81.0, 297.0],\n",
+       " 43: [-89.0, 382.0],\n",
+       " 44: [-92.0, 425.0],\n",
+       " 45: [24.0, 51.0],\n",
+       " 46: [30.0, 141.0],\n",
+       " 47: [30.0, 182.0],\n",
+       " 48: [33.0, 310.0],\n",
+       " 49: [50.0, 398.0],\n",
+       " 50: [49.0, 461.0],\n",
+       " 51: [24.0, 579.0],\n",
+       " 52: [30.0, 705.0],\n",
+       " 53: [38.0, 411.0],\n",
+       " 54: [70.0, 472.0],\n",
+       " 55: [97.0, 522.0],\n",
+       " 56: [104.0, 579.0],\n",
+       " 57: [103.0, 636.0],\n",
+       " 58: [117.0, 691.0],\n",
+       " 59: [113.0, 735.0],\n",
+       " 60: [99.0, 796.0],\n",
+       " 61: [107.0, 887.0],\n",
+       " 62: [133.0, 951.0],\n",
+       " 63: [136.0, 1016.0],\n",
+       " 64: [139.0, 1067.0],\n",
+       " 65: [-12.0, 695.0],\n",
+       " 66: [5.0, 724.0],\n",
+       " 67: [-3.0, 761.0],\n",
+       " 68: [5.0, 802.0],\n",
+       " 69: [4.0, 851.0],\n",
+       " 70: [-3.0, 905.0],\n",
+       " 71: [13.0, 933.0],\n",
+       " 72: [27.0, 949.0],\n",
+       " 73: [34.0, 984.0],\n",
+       " 74: [38.0, 1018.0],\n",
+       " 75: [33.0, 1056.0],\n",
+       " 76: [-27.0, 779.0],\n",
+       " 77: [-51.0, 800.0],\n",
+       " 78: [-70.0, 831.0],\n",
+       " 79: [-84.0, 876.0],\n",
+       " 80: [-94.0, 926.0],\n",
+       " 81: [-121.0, 999.0],\n",
+       " 82: [-127.0, 1064.0],\n",
+       " 83: [-150.0, 1126.0],\n",
+       " 84: [-88.0, 712.0],\n",
+       " 85: [-88.0, 743.0],\n",
+       " 86: [-76.0, 796.0],\n",
+       " 87: [-84.0, 839.0],\n",
+       " 88: [-102.0, 890.0],\n",
+       " 89: [-110.0, 928.0],\n",
+       " 90: [-135.0, 1001.0],\n",
+       " 91: [-140.0, 1070.0],\n",
+       " 92: [-26.0, 920.0],\n",
+       " 93: [-58.0, 953.0],\n",
+       " 94: [54.0, 954.0],\n",
+       " 95: [87.0, 971.0],\n",
+       " 96: [-176.0, 1169.0],\n",
+       " 97: [45.0, 1094.0],\n",
+       " 98: [52.0, 1122.0],\n",
+       " 99: [48.0, 1158.0],\n",
+       " 100: [36.0, 1203.0],\n",
+       " 101: [100.0, 1003.0],\n",
+       " 102: [150.0, 1138.0],\n",
+       " 103: [153.0, 1240.0],\n",
+       " 104: [180.0, 1335.0],\n",
+       " 105: [149.0, 1092.0],\n",
+       " 106: [77.0, 1183.0],\n",
+       " 107: [113.0, 1209.0],\n",
+       " 108: [115.0, 1262.0],\n",
+       " 109: [144.0, 1343.0],\n",
+       " 110: [45.0, 1242.0],\n",
+       " 111: [41.0, 1281.0],\n",
+       " 112: [40.0, 1356.0],\n",
+       " 113: [45.0, 1396.0],\n",
+       " 114: [54.0, 1431.0],\n",
+       " 115: [50.0, 1469.0],\n",
+       " 116: [48.0, 1493.0],\n",
+       " 117: [37.0, 1551.0],\n",
+       " 118: [7.0, 1225.0],\n",
+       " 119: [30.0, 1591.0],\n",
+       " 120: [26.0, 1626.0],\n",
+       " 121: [12.0, 1676.0],\n",
+       " 122: [22.0, 1711.0],\n",
+       " 123: [33.0, 1743.0],\n",
+       " 124: [30.0, 1783.0],\n",
+       " 125: [54.0, 1832.0],\n",
+       " 126: [78.0, 1885.0],\n",
+       " 127: [111.0, 1953.0],\n",
+       " 128: [146.0, 2019.0],\n",
+       " 129: [154.0, 2048.0],\n",
+       " 130: [158.0, 2092.0],\n",
+       " 131: [177.0, 2174.0],\n",
+       " 132: [182.0, 2227.0],\n",
+       " 133: [196.0, 2292.0],\n",
+       " 134: [207.0, 2370.0],\n",
+       " 135: [221.0, 2508.0],\n",
+       " 136: [238.0, 2601.0],\n",
+       " 137: [254.0, 2670.0],\n",
+       " 138: [255.0, 2753.0],\n",
+       " 139: [258.0, 2850.0],\n",
+       " 140: [256.0, 2961.0],\n",
+       " 141: [76.0, 1447.0],\n",
+       " 142: [98.0, 1480.0],\n",
+       " 143: [69.0, 1509.0],\n",
+       " 144: [91.0, 1535.0],\n",
+       " 145: [-12.0, 1720.0]}"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nx.get_node_attributes(graph, \"pos\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "{}"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "nx.get_edge_attributes(graph, \"weight\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# pareto_front_3d_path_tortuosity(graph) # not working with current code implementation\n",
+    "# https://github.com/Salk-Harnessing-Plants-Initiative/Ariadne/issues/24"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "results, front, randoms, results_3d, front_3d, randoms_3d = analyze(graph)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
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+       " (np.float64(0.09), np.float64(0.55)): [4507.759756729008,\n",
+       "  18159.890905745688,\n",
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+       " (np.float64(0.09), np.float64(0.56)): [4507.759756729008,\n",
+       "  18159.890905745688,\n",
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+       " (np.float64(0.09), np.float64(0.84)): [4640.097300701302,\n",
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+       " (np.float64(0.09), np.float64(0.85)): [4640.097300701302,\n",
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+       " (np.float64(0.09), np.float64(0.87)): [4682.91530891095,\n",
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+       " (np.float64(0.09), np.float64(0.88)): [4682.91530891095,\n",
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+       "  14.392863049249266],\n",
+       " (np.float64(0.09), np.float64(0.89)): [4682.91530891095,\n",
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+       " (np.float64(0.09), np.float64(0.9)): [4682.91530891095,\n",
+       "  17926.63103882985,\n",
+       "  14.392863049249266],\n",
+       " ...}"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "front_3d"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "from mpl_toolkits.mplot3d import Axes3D\n",
+    "import matplotlib.cm as cm\n",
+    "import numpy as np\n",
+    "\n",
+    "def plot_pareto_front_3d(front, actual):\n",
+    "    \"\"\"\n",
+    "    Plots the Pareto front of optimal solutions for the 3D path tortuosity,\n",
+    "    with color representing alpha and annotations for extreme alpha and beta values.\n",
+    "\n",
+    "    Args:\n",
+    "        front (dict): A dictionary of edge_lengths, travel_distances_to_base, and\n",
+    "            path_coverages for each (alpha, beta) value on the Pareto front.\n",
+    "        actual (tuple): The actual total_root_length, total_travel_distance, and\n",
+    "            total_path_coverage of the original plant.\n",
+    "    \"\"\"\n",
+    "    # Extract data from the Pareto front\n",
+    "    alphas_betas = list(front.keys())\n",
+    "    data = list(front.values())\n",
+    "    root_lengths = [item[0] for item in data]  # Total root lengths\n",
+    "    travel_distances = [item[1] for item in data]  # Total travel distances\n",
+    "    path_coverages = [item[2] for item in data]  # Total path coverages\n",
+    "\n",
+    "    # Extract the actual data\n",
+    "    mactual, sactual, pactual = actual\n",
+    "\n",
+    "    # Extract alpha and beta values\n",
+    "    alphas = [alpha for alpha, beta in alphas_betas]\n",
+    "    betas = [beta for alpha, beta in alphas_betas]\n",
+    "\n",
+    "    # Normalize alpha for colormap\n",
+    "    alpha_norm = plt.Normalize(min(alphas), max(alphas))\n",
+    "    cmap = cm.viridis\n",
+    "\n",
+    "    # Identify extreme alpha and beta values\n",
+    "    alpha_min_idx = alphas.index(min(alphas))\n",
+    "    alpha_max_idx = alphas.index(max(alphas))\n",
+    "    beta_min_idx = betas.index(min(betas))\n",
+    "    beta_max_idx = betas.index(max(betas))\n",
+    "\n",
+    "    # Create a 3D plot\n",
+    "    fig = plt.figure(figsize=(12, 9))\n",
+    "    ax = fig.add_subplot(111, projection=\"3d\")\n",
+    "\n",
+    "    # Plot Pareto front points\n",
+    "    sc = ax.scatter(\n",
+    "        root_lengths,\n",
+    "        travel_distances,\n",
+    "        path_coverages,\n",
+    "        c=alphas,\n",
+    "        cmap=cmap,\n",
+    "        alpha=0.8,\n",
+    "        label=\"Pareto Front\",\n",
+    "    )\n",
+    "\n",
+    "    # Highlight the actual point\n",
+    "    ax.scatter(\n",
+    "        mactual,\n",
+    "        sactual,\n",
+    "        pactual,\n",
+    "        c=\"red\",\n",
+    "        s=150,\n",
+    "        label=\"Actual\",\n",
+    "        edgecolors=\"black\",\n",
+    "    )\n",
+    "\n",
+    "    # Annotate extreme points\n",
+    "    for idx, label in zip(\n",
+    "        [alpha_min_idx, alpha_max_idx, beta_min_idx, beta_max_idx],\n",
+    "        [\"Min α\", \"Max α\", \"Min β\", \"Max β\"],\n",
+    "    ):\n",
+    "        x, y, z = root_lengths[idx], travel_distances[idx], path_coverages[idx]\n",
+    "        alpha, beta = alphas_betas[idx]\n",
+    "        ax.text(\n",
+    "            x,\n",
+    "            y,\n",
+    "            z,\n",
+    "            f\"{label}\\n(α={alpha:.2f}, β={beta:.2f})\",\n",
+    "            fontsize=9,\n",
+    "            color=\"black\",\n",
+    "            ha=\"center\",\n",
+    "        )\n",
+    "\n",
+    "    # Add a colorbar for alpha values\n",
+    "    cbar = plt.colorbar(sc, ax=ax, shrink=0.6, aspect=10, pad=0.1)\n",
+    "    cbar.set_label(\"Alpha Value (α)\", rotation=270, labelpad=15)\n",
+    "\n",
+    "    # Add labels, legend, and title\n",
+    "    ax.set_xlabel(\"Total Root Length (Wiring Cost)\")\n",
+    "    ax.set_ylabel(\"Total Travel Distance (Conduction Delay)\")\n",
+    "    ax.set_zlabel(\"Total Path Coverage\")\n",
+    "    ax.set_title(\"3D Pareto Front with Alpha (Color) and Extreme Value Annotations\")\n",
+    "\n",
+    "    # Show the plot\n",
+    "    plt.legend()\n",
+    "    plt.show()\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "actual = (results_3d[\"Total root length\"], results_3d[\"Travel distance\"], results_3d[\"Path tortuosity\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-01-12 21:09:19,575 - DEBUG - locator: <matplotlib.ticker.AutoLocator object at 0x00000232B8260A50>\n",
+      "2025-01-12 21:09:19,630 - DEBUG - findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=9.0.\n",
+      "2025-01-12 21:09:19,631 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUniBolIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,631 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmmi10.ttf', name='cmmi10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,631 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizFourSymReg.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,632 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizFiveSymReg.ttf', name='STIXSizeFiveSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,632 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneralBol.ttf', name='STIXGeneral', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,632 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmtt10.ttf', name='cmtt10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,633 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizThreeSymReg.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,633 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif-BoldItalic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,634 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizTwoSymBol.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,634 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmex10.ttf', name='cmex10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,634 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUni.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,635 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizFourSymBol.ttf', name='STIXSizeFourSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,635 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizOneSymBol.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,635 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneralBolIta.ttf', name='STIXGeneral', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,636 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUniBol.ttf', name='STIXNonUnicode', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,636 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans-Oblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 1.05\n",
+      "2025-01-12 21:09:19,636 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerifDisplay.ttf', name='DejaVu Serif Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,637 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 0.05\n",
+      "2025-01-12 21:09:19,637 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizOneSymReg.ttf', name='STIXSizeOneSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,638 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif-Italic.ttf', name='DejaVu Serif', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,638 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono-Oblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,638 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmr10.ttf', name='cmr10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,639 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneral.ttf', name='STIXGeneral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,639 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,640 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmb10.ttf', name='cmb10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,640 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmss10.ttf', name='cmss10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,640 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans-Bold.ttf', name='DejaVu Sans', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 0.33499999999999996\n",
+      "2025-01-12 21:09:19,640 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans-BoldOblique.ttf', name='DejaVu Sans', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 1.335\n",
+      "2025-01-12 21:09:19,641 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXNonUniIta.ttf', name='STIXNonUnicode', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,641 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,641 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSerif-Bold.ttf', name='DejaVu Serif', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,642 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono-BoldOblique.ttf', name='DejaVu Sans Mono', style='oblique', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,642 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizTwoSymReg.ttf', name='STIXSizeTwoSym', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,642 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXSizThreeSymBol.ttf', name='STIXSizeThreeSym', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,643 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\cmsy10.ttf', name='cmsy10', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,643 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansMono-Bold.ttf', name='DejaVu Sans Mono', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,643 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\STIXGeneralItalic.ttf', name='STIXGeneral', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,644 - DEBUG - findfont: score(FontEntry(fname='c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSansDisplay.ttf', name='DejaVu Sans Display', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,644 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CascadiaCode.ttf', name='Cascadia Code', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,644 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebucbd.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,645 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FELIXTI.TTF', name='Felix Titling', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,645 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebucbi.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,645 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHICB.TTF', name='Century Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,646 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRABK.TTF', name='Franklin Gothic Book', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,646 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CENSCBK.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,647 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msjh.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,647 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msjhbd.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,647 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibrii.ttf', name='Calibri', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,648 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisym.ttf', name='Segoe UI Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,648 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MSUIGHUR.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,648 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDOSI.TTF', name='Goudy Old Style', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,649 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\OCRAEXT.TTF', name='OCR A Extended', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25\n",
+      "2025-01-12 21:09:19,650 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TEMPSITC.TTF', name='Tempus Sans ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,650 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambriab.ttf', name='Cambria', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,650 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-REGULAR.TTF', name='Dubai', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,650 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_BLAR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n",
+      "2025-01-12 21:09:19,651 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CB.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n",
+      "2025-01-12 21:09:19,651 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebuc.ttf', name='Trebuchet MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,651 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_R.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,652 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BASKVILL.TTF', name='Baskerville Old Face', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,652 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ENGR.TTF', name='Engravers MT', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 21:09:19,652 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ANTQUABI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,653 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ebrimabd.ttf', name='Ebrima', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,653 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\IMPRISHA.TTF', name='Imprint MT Shadow', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,654 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ELEPHNT.TTF', name='Elephant', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,654 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CURLZ___.TTF', name='Curlz MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,654 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKEB.TTF', name='Rockwell Extra Bold', style='normal', variant='normal', weight=800, stretch='normal', size='scalable')) = 10.43\n",
+      "2025-01-12 21:09:19,655 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constan.ttf', name='Constantia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,655 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALNB.TTF', name='Arial', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 6.8986363636363635\n",
+      "2025-01-12 21:09:19,655 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 11.25\n",
+      "2025-01-12 21:09:19,656 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\phagspab.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,656 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANS.TTF', name='Lucida Sans', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,657 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\timesbd.ttf', name='Times New Roman', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,657 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\sylfaen.ttf', name='Sylfaen', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,657 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOS.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 21:09:19,658 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HARLOWSI.TTF', name='Harlow Solid Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,658 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\WINGDNG3.TTF', name='Wingdings 3', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,659 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambriai.ttf', name='Cambria', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,659 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdanaz.ttf', name='Verdana', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 4.971363636363637\n",
+      "2025-01-12 21:09:19,660 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERBI___.TTF', name='Perpetua', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,660 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbeli.ttf', name='Corbel', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,660 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ELEPHNTI.TTF', name='Elephant', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,660 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candarali.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,661 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\RAVIE.TTF', name='Ravie', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,661 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\symbol.ttf', name='Symbol', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,662 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SitkaVF-Italic.ttf', name='Sitka', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,662 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguihis.ttf', name='Segoe UI Historic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,662 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIFB.TTF', name='Californian FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,663 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\taileb.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,664 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAXDI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 21:09:19,664 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRADHITC.TTF', name='Bradley Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,665 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASDEMI.TTF', name='Eras Demi ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,665 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HTOWERTI.TTF', name='High Tower Text', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,666 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MAGNETOB.TTF', name='Magneto', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,666 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ANTQUAB.TTF', name='Book Antiqua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,666 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SHOWG.TTF', name='Showcard Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,667 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COLONNA.TTF', name='Colonna MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,667 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCM_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,667 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCCB____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n",
+      "2025-01-12 21:09:19,668 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HARNGTON.TTF', name='Harrington', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,668 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consolai.ttf', name='Consolas', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,668 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguili.ttf', name='Segoe UI', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 21:09:19,668 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constanz.ttf', name='Constantia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,669 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\RAGE.TTF', name='Rage Italic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,669 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisli.ttf', name='Segoe UI', style='italic', variant='normal', weight=350, stretch='normal', size='scalable')) = 11.0975\n",
+      "2025-01-12 21:09:19,670 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candarab.ttf', name='Candara', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,671 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HTOWERT.TTF', name='High Tower Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,671 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GARA.TTF', name='Garamond', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,672 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MTEXTRA.TTF', name='MT Extra', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,672 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRAHV.TTF', name='Franklin Gothic Heavy', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,672 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mingliub.ttc', name='MingLiU-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,673 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOSBI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 21:09:19,673 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibrib.ttf', name='Calibri', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,673 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SNAP____.TTF', name='Snap ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,674 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothM.ttc', name='Yu Gothic', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 21:09:19,674 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CENTURY.TTF', name='Century', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,674 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\VLADIMIR.TTF', name='Vladimir Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,675 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIFI.TTF', name='Californian FB', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,675 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyi.ttf', name='Microsoft Yi Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,676 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDOS.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,676 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BELL.TTF', name='Bell MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,676 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALISTI.TTF', name='Calisto MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,677 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRADMIT.TTF', name='Franklin Gothic Demi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,677 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyhl.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545\n",
+      "2025-01-12 21:09:19,677 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbell.ttf', name='Corbel', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 21:09:19,678 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRLNSR.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,678 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SitkaVF.ttf', name='Sitka', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,678 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\malgunsl.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 21:09:19,678 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mmrtext.ttf', name='Myanmar Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,678 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPE.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,679 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ITCKRIST.TTF', name='Kristen ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,679 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candaral.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,679 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANSDI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 21:09:19,680 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\KUNSTLER.TTF', name='Kunstler Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,681 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\taile.ttf', name='Microsoft Tai Le', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,681 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILB____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,681 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BAUHS93.TTF', name='Bauhaus 93', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,682 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAXD.TTF', name='Lucida Fax', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 21:09:19,682 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRAMDCN.TTF', name='Franklin Gothic Medium Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 21:09:19,682 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILC____.TTF', name='Gill Sans MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 21:09:19,683 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\framd.ttf', name='Franklin Gothic Medium', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,683 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_I.TTF', name='Bodoni MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,683 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BELLI.TTF', name='Bell MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,684 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\timesbi.ttf', name='Times New Roman', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,684 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALNBI.TTF', name='Arial', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 7.8986363636363635\n",
+      "2025-01-12 21:09:19,685 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SegUIVar.ttf', name='Segoe UI Variable', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,685 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERTILI.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 21:09:19,686 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILBI___.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,686 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MOD20.TTF', name='Modern No. 20', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,687 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LCALLIG.TTF', name='Lucida Calligraphy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,688 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GARABD.TTF', name='Garamond', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,688 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COOPBL.TTF', name='Cooper Black', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,688 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cour.ttf', name='Courier New', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,689 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CBI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='condensed', size='scalable')) = 11.535\n",
+      "2025-01-12 21:09:19,689 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CASTELAR.TTF', name='Castellar', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,690 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALN.TTF', name='Arial', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 6.613636363636363\n",
+      "2025-01-12 21:09:19,690 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GLECB.TTF', name='Gloucester MT Extra Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 21:09:19,690 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\palab.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,691 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ITCBLKAD.TTF', name='Blackadder ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,691 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoesc.ttf', name='Segoe Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,691 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NirmalaS.ttf', name='Nirmala UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975\n",
+      "2025-01-12 21:09:19,691 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mmrtextb.ttf', name='Myanmar Text', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,692 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PER_____.TTF', name='Perpetua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,692 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PALSCRI.TTF', name='Palace Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,693 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NIAGSOL.TTF', name='Niagara Solid', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,693 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguiemj.ttf', name='Segoe UI Emoji', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,694 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothB.ttc', name='Yu Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,694 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msgothic.ttc', name='MS Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,694 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANSD.TTF', name='Lucida Sans', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 21:09:19,695 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CENTAUR.TTF', name='Centaur', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,695 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_CR.TTF', name='Bodoni MT', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 21:09:19,696 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoescb.ttf', name='Segoe Script', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,696 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PRISTINA.TTF', name='Pristina', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,696 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOSI.TTF', name='Bookman Old Style', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 21:09:19,697 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MATURASC.TTF', name='Matura MT Script Capitals', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,697 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FTLTLT.TTF', name='Footlight MT Light', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 21:09:19,697 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\OUTLOOK.TTF', name='MS Outlook', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,698 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ariblk.ttf', name='Arial', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 6.888636363636364\n",
+      "2025-01-12 21:09:19,698 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIFR.TTF', name='Californian FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,698 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candarai.ttf', name='Candara', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,699 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuisl.ttf', name='Segoe UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975\n",
+      "2025-01-12 21:09:19,699 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MSUIGHUB.TTF', name='Microsoft Uighur', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,700 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consolab.ttf', name='Consolas', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,700 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCHLBKI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,700 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Gabriola.ttf', name='Gabriola', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,701 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\JOKERMAN.TTF', name='Jokerman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,701 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASBD.TTF', name='Eras Bold ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,702 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbelb.ttf', name='Corbel', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,702 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GARAIT.TTF', name='Garamond', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,703 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALISTBI.TTF', name='Calisto MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,703 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERTIBD.TTF', name='Perpetua Titling MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,703 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITED.TTF', name='Lucida Bright', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 21:09:19,704 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambriaz.ttf', name='Cambria', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,704 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ITCEDSCR.TTF', name='Edwardian Script ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,704 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOOKOSB.TTF', name='Bookman Old Style', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 21:09:19,705 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgia.ttf', name='Georgia', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,705 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LeelUIsl.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=350, stretch='normal', size='scalable')) = 10.0975\n",
+      "2025-01-12 21:09:19,705 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\AGENCYB.TTF', name='Agency FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,706 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERI____.TTF', name='Perpetua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,706 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comicz.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,707 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARIALNI.TTF', name='Arial', style='italic', variant='normal', weight=400, stretch='condensed', size='scalable')) = 7.613636363636363\n",
+      "2025-01-12 21:09:19,707 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\VIVALDII.TTF', name='Vivaldi', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,707 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\malgunbd.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,708 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\timesi.ttf', name='Times New Roman', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,708 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\monbaiti.ttf', name='Mongolian Baiti', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,708 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\holomdl2.ttf', name='HoloLens MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,709 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ONYX.TTF', name='Onyx', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,709 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\cambria.ttc', name='Cambria', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,709 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SansSerifCollection.ttf', name='Sans Serif Collection', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,710 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_PSTC.TTF', name='Bodoni MT', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 21:09:19,710 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCCEB.TTF', name='Tw Cen MT Condensed Extra Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 21:09:19,710 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITE.TTF', name='Lucida Bright', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,711 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CHILLER.TTF', name='Chiller', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,711 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GIL_____.TTF', name='Gill Sans MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,711 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAX.TTF', name='Lucida Fax', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,712 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ALGER.TTF', name='Algerian', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,712 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPEO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,712 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LATINWD.TTF', name='Wide Latin', style='normal', variant='normal', weight=400, stretch='expanded', size='scalable')) = 10.25\n",
+      "2025-01-12 21:09:19,713 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCC____.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 21:09:19,713 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PAPYRUS.TTF', name='Papyrus', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,713 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeprb.ttf', name='Segoe Print', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,714 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\himalaya.ttf', name='Microsoft Himalaya', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,714 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BROADW.TTF', name='Broadway', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,714 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\framdit.ttf', name='Franklin Gothic Medium', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,715 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candara.ttf', name='Candara', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,715 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILLUBCD.TTF', name='Gill Sans Ultra Bold Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 21:09:19,716 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoepr.ttf', name='Segoe Print', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,716 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MAIAN.TTF', name='Maiandra GD', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,716 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\bahnschrift.ttf', name='Bahnschrift', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,717 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisb.ttf', name='Segoe UI', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 21:09:19,717 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NIAGENG.TTF', name='Niagara Engraved', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,718 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\REFSPCL.TTF', name='MS Reference Specialty', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,718 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msjhl.ttc', name='Microsoft JhengHei', style='normal', variant='normal', weight=290, stretch='normal', size='scalable')) = 10.1545\n",
+      "2025-01-12 21:09:19,718 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbel.ttf', name='Corbel', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,719 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_BI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,720 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Candaraz.ttf', name='Candara', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,720 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuii.ttf', name='Segoe UI', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,720 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\VINERITC.TTF', name='Viner Hand ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,720 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuiz.ttf', name='Segoe UI', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,720 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibrili.ttf', name='Calibri', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 21:09:19,721 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LEELAWDB.TTF', name='Leelawadee', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,721 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Inkfree.ttf', name='Ink Free', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,722 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LSANSI.TTF', name='Lucida Sans', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,722 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_BLAI.TTF', name='Bodoni MT', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n",
+      "2025-01-12 21:09:19,722 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comic.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,723 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\simsunb.ttf', name='SimSun-ExtB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,723 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\micross.ttf', name='Microsoft Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,724 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCCM____.TTF', name='Tw Cen MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 21:09:19,724 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-LIGHT.TTF', name='Dubai', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 21:09:19,725 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuil.ttf', name='Segoe UI', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 21:09:19,725 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\WINGDNG2.TTF', name='Wingdings 2', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,725 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\impact.ttf', name='Impact', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,726 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCRIPTBL.TTF', name='Script MT Bold', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,726 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDYSTO.TTF', name='Goudy Stout', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,726 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdana.ttf', name='Verdana', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 3.6863636363636365\n",
+      "2025-01-12 21:09:19,727 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibri.ttf', name='Calibri', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,727 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LFAXI.TTF', name='Lucida Fax', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,727 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\couri.ttf', name='Courier New', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,728 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ebrima.ttf', name='Ebrima', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,728 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\REFSAN.TTF', name='MS Reference Sans Serif', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,728 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHICBI.TTF', name='Century Gothic', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,729 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COPRGTL.TTF', name='Copperplate Gothic Light', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,729 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ariali.ttf', name='Arial', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 7.413636363636363\n",
+      "2025-01-12 21:09:19,730 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\tahoma.ttf', name='Tahoma', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,730 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALISTB.TTF', name='Calisto MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,730 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguibl.ttf', name='Segoe UI', style='normal', variant='normal', weight=900, stretch='normal', size='scalable')) = 10.525\n",
+      "2025-01-12 21:09:19,731 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LeelawUI.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,731 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SegoeIcons.ttf', name='Segoe Fluent Icons', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,731 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKBI.TTF', name='Rockwell', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,732 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOUDOSB.TTF', name='Goudy Old Style', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,732 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothL.ttc', name='Yu Gothic', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 21:09:19,732 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LHANDW.TTF', name='Lucida Handwriting', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,733 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BELLB.TTF', name='Bell MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,733 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FREESCPT.TTF', name='Freestyle Script', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,733 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\INFROMAN.TTF', name='Informal Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,734 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRITANIC.TTF', name='Britannic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,734 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRABKIT.TTF', name='Franklin Gothic Book', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,735 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comici.ttf', name='Comic Sans MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,735 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgiaz.ttf', name='Georgia', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,735 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\lucon.ttf', name='Lucida Console', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,736 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\javatext.ttf', name='Javanese Text', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,737 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHICI.TTF', name='Century Gothic', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,737 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\YuGothR.ttc', name='Yu Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,737 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\OLDENGL.TTF', name='Old English Text MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,738 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PLAYBILL.TTF', name='Playbill', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,738 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FORTE.TTF', name='Forte', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,738 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCBI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,738 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\HATTEN.TTF', name='Haettenschweiler', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,739 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASLGHT.TTF', name='Eras Light ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,740 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\courbd.ttf', name='Courier New', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,740 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\tahomabd.ttf', name='Tahoma', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,740 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\arialbi.ttf', name='Arial', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 7.698636363636363\n",
+      "2025-01-12 21:09:19,740 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\NirmalaB.ttf', name='Nirmala UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,740 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCCB___.TTF', name='Rockwell Condensed', style='normal', variant='normal', weight=700, stretch='condensed', size='scalable')) = 10.535\n",
+      "2025-01-12 21:09:19,741 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCHLBKBI.TTF', name='Century Schoolbook', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,741 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consolaz.ttf', name='Consolas', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,742 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\trebucit.ttf', name='Trebuchet MS', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,742 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibril.ttf', name='Calibri', style='normal', variant='normal', weight=300, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 21:09:19,742 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BKANT.TTF', name='Book Antiqua', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,743 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GLSNECB.TTF', name='Gill Sans MT Ext Condensed Bold', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 21:09:19,743 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdanai.ttf', name='Verdana', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 4.6863636363636365\n",
+      "2025-01-12 21:09:19,743 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\calibriz.ttf', name='Calibri', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,744 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyh.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,744 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\wingding.ttf', name='Wingdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,744 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRADM.TTF', name='Franklin Gothic Demi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,745 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GIGI.TTF', name='Gigi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,745 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LeelaUIb.ttf', name='Leelawadee UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,745 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCK.TTF', name='Rockwell', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,779 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\arial.ttf', name='Arial', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 6.413636363636363\n",
+      "2025-01-12 21:09:19,783 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ERASMD.TTF', name='Eras Medium ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,798 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ntailub.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,802 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segmdl2.ttf', name='Segoe MDL2 Assets', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,802 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbelz.ttf', name='Corbel', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,803 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRAHVIT.TTF', name='Franklin Gothic Heavy', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,804 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-BOLD.TTF', name='Dubai', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,804 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKB.TTF', name='Rockwell', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,805 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\phagspa.ttf', name='Microsoft PhagsPa', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,805 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\COPRGTB.TTF', name='Copperplate Gothic Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,806 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CascadiaMono.ttf', name='Cascadia Mono', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,806 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgiab.ttf', name='Georgia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,806 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\corbelli.ttf', name='Corbel', style='italic', variant='normal', weight=300, stretch='normal', size='scalable')) = 11.145\n",
+      "2025-01-12 21:09:19,807 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\pala.ttf', name='Palatino Linotype', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,807 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\comicbd.ttf', name='Comic Sans MS', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,808 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\webdings.ttf', name='Webdings', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,808 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ntailu.ttf', name='Microsoft New Tai Lue', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,808 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\courbi.ttf', name='Courier New', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,809 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\simsun.ttc', name='SimSun', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,810 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRLNSDB.TTF', name='Berlin Sans FB Demi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,810 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRADMCN.TTF', name='Franklin Gothic Demi Cond', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 21:09:19,810 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\times.ttf', name='Times New Roman', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,811 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MISTRAL.TTF', name='Mistral', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,811 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILI____.TTF', name='Gill Sans MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,812 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constani.ttf', name='Constantia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,812 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\verdanab.ttf', name='Verdana', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 3.9713636363636367\n",
+      "2025-01-12 21:09:19,812 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\palabi.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=700, stretch='normal', size='scalable')) = 11.335\n",
+      "2025-01-12 21:09:19,813 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\gadugib.ttf', name='Gadugi', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,813 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GILSANUB.TTF', name='Gill Sans Ultra Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,817 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\CALIST.TTF', name='Calisto MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,818 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\SCHLBKB.TTF', name='Century Schoolbook', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,818 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PARCHM.TTF', name='Parchment', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,819 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\consola.ttf', name='Consolas', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,820 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCB_____.TTF', name='Tw Cen MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,821 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguibli.ttf', name='Segoe UI', style='italic', variant='normal', weight=900, stretch='normal', size='scalable')) = 11.525\n",
+      "2025-01-12 21:09:19,823 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\POORICH.TTF', name='Poor Richard', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,823 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITEI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,824 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LEELAWAD.TTF', name='Leelawadee', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,824 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\DUBAI-MEDIUM.TTF', name='Dubai', style='normal', variant='normal', weight=500, stretch='normal', size='scalable')) = 10.145\n",
+      "2025-01-12 21:09:19,824 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ROCKI.TTF', name='Rockwell', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,825 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LBRITEDI.TTF', name='Lucida Bright', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 21:09:19,826 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\MTCORSVA.TTF', name='Monotype Corsiva', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,826 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\mvboli.ttf', name='MV Boli', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,826 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRUSHSCI.TTF', name='Brush Script MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,827 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\STENCIL.TTF', name='Stencil', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,828 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ARLRDBD.TTF', name='Arial Rounded MT Bold', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,829 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\FRSCRIPT.TTF', name='French Script MT', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,830 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BOD_B.TTF', name='Bodoni MT', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,830 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\GOTHIC.TTF', name='Century Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,830 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\gadugi.ttf', name='Gadugi', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,831 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\AGENCYR.TTF', name='Agency FB', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,831 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPEBO.TTF', name='Lucida Sans Typewriter', style='oblique', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 21:09:19,831 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\arialbd.ttf', name='Arial', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 6.698636363636363\n",
+      "2025-01-12 21:09:19,832 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\palai.ttf', name='Palatino Linotype', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,832 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\LTYPEB.TTF', name='Lucida Sans Typewriter', style='normal', variant='normal', weight=600, stretch='normal', size='scalable')) = 10.24\n",
+      "2025-01-12 21:09:19,832 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\msyhbd.ttc', name='Microsoft YaHei', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,833 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeuib.ttf', name='Segoe UI', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,834 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BRLNSB.TTF', name='Berlin Sans FB', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,834 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\malgun.ttf', name='Malgun Gothic', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,834 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\Nirmala.ttf', name='Nirmala UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,835 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\TCMI____.TTF', name='Tw Cen MT', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,835 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\PERB____.TTF', name='Perpetua', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,836 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\JUICE___.TTF', name='Juice ITC', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,836 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\l_10646.ttf', name='Lucida Sans Unicode', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,836 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BSSYM7.TTF', name='Bookshelf Symbol 7', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,837 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\georgiai.ttf', name='Georgia', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,837 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\ANTQUAI.TTF', name='Book Antiqua', style='italic', variant='normal', weight=400, stretch='normal', size='scalable')) = 11.05\n",
+      "2025-01-12 21:09:19,837 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\seguisbi.ttf', name='Segoe UI', style='italic', variant='normal', weight=600, stretch='normal', size='scalable')) = 11.24\n",
+      "2025-01-12 21:09:19,838 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\BERNHC.TTF', name='Bernard MT Condensed', style='normal', variant='normal', weight=400, stretch='condensed', size='scalable')) = 10.25\n",
+      "2025-01-12 21:09:19,838 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\constanb.ttf', name='Constantia', style='normal', variant='normal', weight=700, stretch='normal', size='scalable')) = 10.335\n",
+      "2025-01-12 21:09:19,839 - DEBUG - findfont: score(FontEntry(fname='C:\\\\Windows\\\\Fonts\\\\segoeui.ttf', name='Segoe UI', style='normal', variant='normal', weight=400, stretch='normal', size='scalable')) = 10.05\n",
+      "2025-01-12 21:09:19,840 - DEBUG - findfont: Matching sans\\-serif:style=normal:variant=normal:weight=normal:stretch=normal:size=9.0 to DejaVu Sans ('c:\\\\Users\\\\eb\\\\Miniforge3\\\\envs\\\\ariadne_dev\\\\Lib\\\\site-packages\\\\matplotlib\\\\mpl-data\\\\fonts\\\\ttf\\\\DejaVuSans.ttf') with score of 0.050000.\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x900 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_pareto_front_3d(front_3d, actual)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from scipy.interpolate import griddata\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "from mpl_toolkits.mplot3d import Axes3D\n",
+    "\n",
+    "def plot_pareto_surface_3d(front, actual):\n",
+    "    \"\"\"\n",
+    "    Plots a 3D Pareto surface using interpolation.\n",
+    "\n",
+    "    Args:\n",
+    "        front (dict): A dictionary of edge_lengths, travel_distances_to_base, and\n",
+    "                      path_coverages for each (alpha, beta) value on the Pareto front.\n",
+    "        actual (tuple): The actual total_root_length, total_travel_distance, and\n",
+    "                        total_path_coverage of the original plant.\n",
+    "    \"\"\"\n",
+    "    # Extract data from the Pareto front\n",
+    "    alphas_betas = list(front.keys())\n",
+    "    data = list(front.values())\n",
+    "    root_lengths = np.array([item[0] for item in data])  # Total root lengths\n",
+    "    travel_distances = np.array([item[1] for item in data])  # Total travel distances\n",
+    "    path_coverages = np.array([item[2] for item in data])  # Total path coverages\n",
+    "\n",
+    "    # Extract the actual data\n",
+    "    mactual, sactual, pactual = actual\n",
+    "\n",
+    "    # Create a grid for interpolation\n",
+    "    grid_x, grid_y = np.meshgrid(\n",
+    "        np.linspace(root_lengths.min(), root_lengths.max(), 100),\n",
+    "        np.linspace(travel_distances.min(), travel_distances.max(), 100),\n",
+    "    )\n",
+    "\n",
+    "    # Interpolate path_coverages onto the grid\n",
+    "    grid_z = griddata(\n",
+    "        (root_lengths, travel_distances),\n",
+    "        path_coverages,\n",
+    "        (grid_x, grid_y),\n",
+    "        method=\"cubic\",\n",
+    "    )\n",
+    "\n",
+    "    # Plot the surface\n",
+    "    fig = plt.figure(figsize=(12, 9))\n",
+    "    ax = fig.add_subplot(111, projection=\"3d\")\n",
+    "    surf = ax.plot_surface(\n",
+    "        grid_x,\n",
+    "        grid_y,\n",
+    "        grid_z,\n",
+    "        cmap=\"viridis\",\n",
+    "        edgecolor=\"k\",\n",
+    "        alpha=0.8,\n",
+    "    )\n",
+    "\n",
+    "    # Plot the actual point\n",
+    "    ax.scatter(\n",
+    "        mactual, sactual, pactual, color=\"red\", s=150, label=\"Actual\", edgecolors=\"black\"\n",
+    "    )\n",
+    "\n",
+    "    # Add a colorbar\n",
+    "    cbar = plt.colorbar(surf, ax=ax, shrink=0.5, aspect=10, pad=0.1)\n",
+    "    cbar.set_label(\"Path Coverage\", rotation=270, labelpad=15)\n",
+    "\n",
+    "    # Add labels and title\n",
+    "    ax.set_xlabel(\"Total Root Length (Wiring Cost)\")\n",
+    "    ax.set_ylabel(\"Total Travel Distance (Conduction Delay)\")\n",
+    "    ax.set_zlabel(\"Total Path Coverage\")\n",
+    "    ax.set_title(\"3D Pareto Surface with Interpolated Path Coverage\")\n",
+    "\n",
+    "    plt.legend()\n",
+    "    plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "2025-01-12 21:19:17,754 - DEBUG - locator: <matplotlib.ticker.AutoLocator object at 0x00000232B9962A50>\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x900 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plot_pareto_surface_3d(front_3d, actual)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "ariadne_dev",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.11"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

From 428ce7ed7182131203bb3c5f8776cfe4ffa7cdbc Mon Sep 17 00:00:00 2001
From: Elizabeth Berrigan <berri104@gmail.com>
Date: Mon, 13 Jan 2025 10:04:47 -0800
Subject: [PATCH 30/30] format

---
 ...day1_20230509-125420_014_plantB_day11.json | 3958 ++++++++++++++++-
 1 file changed, 3957 insertions(+), 1 deletion(-)

diff --git a/tests/data/_set1_day1_20230509-125420_014_plantB_day11.json b/tests/data/_set1_day1_20230509-125420_014_plantB_day11.json
index fa68102..9682602 100644
--- a/tests/data/_set1_day1_20230509-125420_014_plantB_day11.json
+++ b/tests/data/_set1_day1_20230509-125420_014_plantB_day11.json
@@ -1 +1,3957 @@
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\ No newline at end of file