diff --git a/.github/workflows/run_benchmarks.yml b/.github/workflows/run_benchmarks.yml
index c9f6c8d1..ebb231ff 100644
--- a/.github/workflows/run_benchmarks.yml
+++ b/.github/workflows/run_benchmarks.yml
@@ -32,7 +32,7 @@ jobs:
       - name: Install development version of pyccel from GitHub
         run: |
           pip3 install --upgrade pip
-          pip3 install 'pyccel @ git+https://github.com/pyccel/pyccel'
+          pip3 install 'pyccel @ git+https://github.com/pyccel/pyccel@test_pasc_branch'
       - name: Install python dependencies
         run: |
           pip3 install .
diff --git a/README.md b/README.md
index cceb8251..65365e15 100644
--- a/README.md
+++ b/README.md
@@ -89,38 +89,40 @@ Solves a 2D Laplace problem using Finite Differences methods. The code is adapte
 
 Runs a molecular dynamics simulation. The code is adapted from examples written by [J. Burkardt](https://people.sc.fsu.edu/~jburkardt/py_src/py_src.html)
 ## Development branch results
-### Performance Comparison (as of Tue Dec 10 10:35:43 UTC 2024)
+### Performance Comparison (as of Sun Dec 15 11:01:13 UTC 2024)
 ## Compilation time
 Algorithm                 | python                    | pythran_gnu               | pythran_intel             | numba                     | pyccel_fortran_gnu        | pyccel_c_gnu              | pyccel_fortran_intel      | pyccel_c_intel           
 ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | -------------------------
-Ackermann                 | -                         | 2.34                      | 2.13                      | 0.34                      | 1.34                      | 1.30                      | 1.42                      | 1.39                     
-Bellman Ford              | -                         | 3.44                      | 3.69                      | 1.08                      | 3.64                      | 3.97                      | 3.80                      | 4.04                     
-Dijkstra                  | -                         | 2.40                      | 2.70                      | 1.60                      | 3.70                      | 4.01                      | 3.96                      | 4.12                     
-Euler                     | -                         | 2.81                      | 3.17                      | 2.06                      | 3.75                      | 3.99                      | 3.79                      | 3.98                     
-Midpoint Explicit         | -                         | 3.20                      | 3.50                      | 3.10                      | 3.95                      | 4.24                      | 4.05                      | 4.19                     
-Midpoint Fixed            | -                         | 3.72                      | 4.08                      | 3.38                      | 4.10                      | 4.33                      | 4.17                      | 4.36                     
-RK4                       | -                         | 3.82                      | 4.33                      | 3.85                      | 4.46                      | 4.69                      | 4.53                      | 4.80                     
-FD - L Convection         | -                         | 2.41                      | 2.77                      | 0.94                      | 1.49                      | 4.06                      | 1.65                      | 4.09                     
-FD - NL Convection        | -                         | 3.42                      | 3.70                      | 0.92                      | 1.42                      | 3.99                      | 1.66                      | 3.94                     
-FD - Poisson              | -                         | 3.46                      | 3.77                      | 1.37                      | 1.59                      | 4.08                      | 2.85                      | 3.99                     
-FD - Laplace              | -                         | 6.68                      | 8.16                      | 3.17                      | 1.84                      | 4.46                      | 2.14                      | 4.40                     
-M-D                       | -                         | 6.60                      | 6.94                      | 4.14                      | -                         | -                         | -                         | -                        
+Ackermann                 | -                         | 2.30                      | 2.12                      | 0.33                      | 1.32                      | 1.32                      | 1.45                      | 1.39                     
+Bellman Ford              | -                         | 3.41                      | 3.68                      | 1.08                      | 3.70                      | 3.93                      | 3.78                      | 3.93                     
+Dijkstra                  | -                         | 2.38                      | 2.66                      | 1.56                      | 3.71                      | 3.98                      | 3.89                      | 4.04                     
+Dijkstra with heap class  | -                         | -                         | -                         | -                         | 4.23                      | 4.09                      | 4.61                      | 4.11                     
+Euler                     | -                         | 2.66                      | 3.04                      | 2.01                      | 3.61                      | 3.94                      | 3.77                      | 3.98                     
+Midpoint Explicit         | -                         | 3.04                      | 3.43                      | 2.99                      | 3.85                      | 4.18                      | 3.98                      | 4.17                     
+Midpoint Fixed            | -                         | 3.54                      | 3.95                      | 3.22                      | 3.95                      | 4.26                      | 4.09                      | 4.27                     
+RK4                       | -                         | 3.72                      | 4.22                      | 3.74                      | 4.33                      | 4.62                      | 4.44                      | 4.64                     
+FD - L Convection         | -                         | 2.31                      | 2.65                      | 0.87                      | 1.40                      | 3.93                      | 1.59                      | 3.93                     
+FD - NL Convection        | -                         | 3.29                      | 3.54                      | 0.88                      | 1.41                      | 3.92                      | 1.62                      | 3.91                     
+FD - Poisson              | -                         | 3.38                      | 3.64                      | 1.33                      | 1.53                      | 4.03                      | 2.84                      | 4.00                     
+FD - Laplace              | -                         | 6.49                      | 7.97                      | 3.01                      | 1.82                      | 4.34                      | 2.10                      | 4.28                     
+M-D                       | -                         | 6.41                      | 6.74                      | 4.03                      | -                         | -                         | -                         | -                        
 
 ## Execution time
 Algorithm                 | python                    | pythran_gnu               | pythran_intel             | numba                     | pyccel_fortran_gnu        | pyccel_c_gnu              | pyccel_fortran_intel      | pyccel_c_intel           
 ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | -------------------------
-Ackermann (ms)            | 294.00                    | 2.85                      | 3.03                      | 9.76                      | 1.49                      | 1.55                      | 10.40                     | 4.35                     
-Bellman Ford (ms)         | 1760.00                   | 5.17                      | 3.43                      | 3.77                      | 2.87                      | 5.98                      | -                         | 19.20                    
-Dijkstra (ms)             | 4900.00                   | 26.10                     | 17.00                     | 19.70                     | 19.30                     | 31.00                     | -                         | 23.40                    
-Euler (ms)                | 3920.00                   | 25.30                     | 25.80                     | 38.30                     | 14.80                     | 145.00                    | 13.70                     | 128.00                   
-Midpoint Explicit (ms)    | 7980.00                   | 52.50                     | 51.40                     | 77.40                     | 23.90                     | 281.00                    | 16.80                     | 250.00                   
-Midpoint Fixed (ms)       | 41200.00                  | 251.00                    | 92.60                     | 374.00                    | 75.60                     | 1400.00                   | 61.00                     | 1200.00                  
-RK4 (ms)                  | 19900.00                  | 158.00                    | 35.60                     | 138.00                    | 34.20                     | 481.00                    | 38.60                     | 405.00                   
-FD - L Convection (ms)    | 2260.00                   | 1.63                      | 1.62                      | 2.68                      | 1.51                      | 1.63                      | -                         | 4.08                     
-FD - NL Convection (ms)   | 2710.00                   | 1.88                      | 1.63                      | 2.83                      | 1.97                      | 2.02                      | -                         | 4.08                     
-FD - Poisson (ms)         | 6150.00                   | 2.95                      | 5.46                      | 7.20                      | 2.77                      | 3.72                      | -                         | 4.93                     
-FD - Laplace (ms)         | 575.00                    | 64.20                     | 143.00                    | 246.00                    | 58.50                     | 255.00                    | -                         | 274.00                   
-M-D (ms)                  | 14800.00                  | 15.20                     | 53.10                     | 59.30                     | -                         | -                         | -                         | -                        
+Ackermann (ms)            | 292.00                    | 2.86                      | 3.04                      | 9.60                      | 1.55                      | 1.55                      | 10.10                     | 4.33                     
+Bellman Ford (ms)         | 1750.00                   | 5.22                      | 3.41                      | 3.90                      | 2.94                      | 6.09                      | -                         | 18.90                    
+Dijkstra (ms)             | 4870.00                   | 25.30                     | 16.80                     | 18.90                     | 18.30                     | 29.30                     | -                         | 21.00                    
+Dijkstra with heap class (ms) | 8920.00                   | -                         | -                         | -                         | 264.00                    | 102.00                    | -                         | 107.00                   
+Euler (ms)                | 3790.00                   | 25.60                     | 25.40                     | 36.90                     | 14.40                     | 141.00                    | 13.80                     | 127.00                   
+Midpoint Explicit (ms)    | 7630.00                   | 52.70                     | 51.20                     | 78.00                     | 22.10                     | 279.00                    | 16.20                     | 251.00                   
+Midpoint Fixed (ms)       | 39500.00                  | 252.00                    | 92.50                     | 376.00                    | 74.40                     | 1400.00                   | 58.90                     | 1200.00                  
+RK4 (ms)                  | 21000.00                  | 161.00                    | 36.80                     | 139.00                    | 31.50                     | 485.00                    | 38.40                     | 402.00                   
+FD - L Convection (ms)    | 2260.00                   | 1.63                      | 1.60                      | 2.67                      | 1.54                      | 1.85                      | -                         | 4.06                     
+FD - NL Convection (ms)   | 2720.00                   | 1.82                      | 1.62                      | 2.77                      | 1.83                      | 2.03                      | -                         | 4.09                     
+FD - Poisson (ms)         | 6020.00                   | 2.95                      | 5.45                      | 7.10                      | 2.75                      | 3.84                      | -                         | 4.95                     
+FD - Laplace (ms)         | 578.00                    | 64.70                     | 143.00                    | 244.00                    | 58.10                     | 280.00                    | -                         | 273.00                   
+M-D (ms)                  | 14600.00                  | 15.30                     | 52.90                     | 58.90                     | -                         | -                         | -                         | -                        
 
 ![Development compilation results](./version_specific_results/devel_performance_310_compilation.svg)
 ![Development execution results](./version_specific_results/devel_performance_310_execution.svg)
diff --git a/benchmarks/run_benchmarks.py b/benchmarks/run_benchmarks.py
index 898c6015..f6566e21 100644
--- a/benchmarks/run_benchmarks.py
+++ b/benchmarks/run_benchmarks.py
@@ -82,6 +82,11 @@
         ['dijkstra_distance_test'],
         '',
         'd = dijkstra_distance_test()'),
+    TestInfo('Dijkstra with heap class',
+        'dijkstra_heap.py',
+        ['dijkstra'],
+        'from setup_tools import setup_sparse_dijkstra; graph, start, num_nodes, max_neighbours = setup_sparse_dijkstra()',
+        'd = dijkstra(graph, start, num_nodes, max_neighbours)'),
     TestInfo('Euler',
         'euler_mod.py',
         ['euler_humps_test'],
@@ -181,6 +186,8 @@ def run_process(cmd: "List[str]", time_compilation: "bool"=False, env = None):
     ])
     return returncode, out, err, cpu_time
 
+setup_basename = 'setup_tools.py'
+setup_file = os.path.join(code_folder, setup_basename)
 
 for t in tests:
     print("===========================================", file=log_file, flush=True)
@@ -200,6 +207,7 @@ def run_process(cmd: "List[str]", time_compilation: "bool"=False, env = None):
     os.makedirs(new_folder, exist_ok=True)
     shutil.copyfile(test_file, os.path.join(new_folder, basename))
     shutil.copyfile(numba_test_file, os.path.join(new_folder, numba_basename))
+    shutil.copyfile(setup_file, os.path.join(new_folder, setup_basename))
     os.chdir(new_folder)
 
     import_funcs = ', '.join(t.imports)
@@ -273,6 +281,7 @@ def run_process(cmd: "List[str]", time_compilation: "bool"=False, env = None):
                 run_times.append(None)
                 run_units.append(None)
                 print(err, file=log_file, flush=True)
+                continue
             else:
                 print("Compilation Process time : ",out, file=log_file, flush=True)
                 comp_times.append('{:.2f}'.format(float(out)))
diff --git a/benchmarks/tests/dijkstra_heap.py b/benchmarks/tests/dijkstra_heap.py
new file mode 100644
index 00000000..37952dce
--- /dev/null
+++ b/benchmarks/tests/dijkstra_heap.py
@@ -0,0 +1,94 @@
+import numpy as np
+
+class MinHeap:
+    def __init__(self):
+        self.distances: 'list[int]' = []
+        self.nodes: 'list[int]' = []
+
+    def _sift_up(self, index: int):
+        parent = (index - 1) // 2
+        if index > 0 and self.distances[index] < self.distances[parent]:
+            tmp = self.distances[index]
+            self.distances[index] = self.distances[parent]
+            self.distances[parent] = tmp            
+            tmp = self.nodes[index]
+            self.nodes[index] = self.nodes[parent]
+            self.nodes[parent] = tmp
+            self._sift_up(parent)
+
+    def _sift_down(self, index: int):
+        left = 2 * index + 1
+        right = 2 * index + 2
+        smallest = index
+
+        if left < len(self.distances) and self.distances[left] < self.distances[smallest]:
+            smallest = left
+        if right < len(self.distances) and self.distances[right] < self.distances[smallest]:
+            smallest = right
+
+        if smallest != index:
+            tmp = self.distances[index]
+            self.distances[index] = self.distances[smallest] 
+            self.distances[smallest] = tmp 
+            tmp = self.nodes[index]
+            self.nodes[index] = self.nodes[smallest]
+            self.nodes[smallest] = tmp
+            self._sift_down(smallest)
+
+    def push(self, item_distance: 'int', item_node: 'int'):
+        self.distances.append(item_distance)
+        self.nodes.append(item_node)
+        self._sift_up(len(self.distances) - 1)
+
+    def pop(self):
+        if len(self.distances) == 1:
+            return self.distances.pop(), self.nodes.pop()
+        root_distance = self.distances[0]
+        root_node = self.nodes[0]
+        self.distances[0] = self.distances.pop()
+        self.nodes[0] = self.nodes.pop()
+        self._sift_down(0)
+        return root_distance, root_node
+
+
+    def length(self) -> int:
+        return len(self.distances)
+
+def dijkstra(graph: 'int[:,:]', start: int, num_nodes: int, max_neighbors: int) -> 'int[:]':
+    """
+    Implements Dijkstra's algorithm to find the shortest paths from a start node.
+
+    Parameters:
+    graph (numpy array): A 2D numpy array where each row represents a node and contains up to 5 neighbors as pairs (neighbor, weight). -1 indicates no neighbor.
+    start (int): The starting node index.
+    num_nodes (int): Total number of nodes in the graph.
+
+    Returns:
+    numpy array: Shortest distances from the start node to each node.
+    """
+    priority_queue = MinHeap()
+    shortest_distances = np.full(num_nodes, int(1e9))  
+    shortest_distances[start] = 0
+
+    priority_queue.push(0, start)
+
+    while priority_queue.length() > 0:
+        current_distance, current_node = priority_queue.pop()
+
+        if current_distance > shortest_distances[current_node]:
+            continue
+
+        for i in range(0, 2 * max_neighbors, 2):
+            neighbor = graph[current_node, i]
+            weight = graph[current_node, i + 1]
+            if neighbor == -1 or current_node == neighbor:
+                continue
+
+            dist = current_distance + weight
+
+            if dist < shortest_distances[neighbor]:
+                shortest_distances[neighbor] = dist
+                priority_queue.push(dist, neighbor)
+
+    return shortest_distances
+
diff --git a/benchmarks/tests/numba_dijkstra_heap.py b/benchmarks/tests/numba_dijkstra_heap.py
new file mode 100644
index 00000000..37952dce
--- /dev/null
+++ b/benchmarks/tests/numba_dijkstra_heap.py
@@ -0,0 +1,94 @@
+import numpy as np
+
+class MinHeap:
+    def __init__(self):
+        self.distances: 'list[int]' = []
+        self.nodes: 'list[int]' = []
+
+    def _sift_up(self, index: int):
+        parent = (index - 1) // 2
+        if index > 0 and self.distances[index] < self.distances[parent]:
+            tmp = self.distances[index]
+            self.distances[index] = self.distances[parent]
+            self.distances[parent] = tmp            
+            tmp = self.nodes[index]
+            self.nodes[index] = self.nodes[parent]
+            self.nodes[parent] = tmp
+            self._sift_up(parent)
+
+    def _sift_down(self, index: int):
+        left = 2 * index + 1
+        right = 2 * index + 2
+        smallest = index
+
+        if left < len(self.distances) and self.distances[left] < self.distances[smallest]:
+            smallest = left
+        if right < len(self.distances) and self.distances[right] < self.distances[smallest]:
+            smallest = right
+
+        if smallest != index:
+            tmp = self.distances[index]
+            self.distances[index] = self.distances[smallest] 
+            self.distances[smallest] = tmp 
+            tmp = self.nodes[index]
+            self.nodes[index] = self.nodes[smallest]
+            self.nodes[smallest] = tmp
+            self._sift_down(smallest)
+
+    def push(self, item_distance: 'int', item_node: 'int'):
+        self.distances.append(item_distance)
+        self.nodes.append(item_node)
+        self._sift_up(len(self.distances) - 1)
+
+    def pop(self):
+        if len(self.distances) == 1:
+            return self.distances.pop(), self.nodes.pop()
+        root_distance = self.distances[0]
+        root_node = self.nodes[0]
+        self.distances[0] = self.distances.pop()
+        self.nodes[0] = self.nodes.pop()
+        self._sift_down(0)
+        return root_distance, root_node
+
+
+    def length(self) -> int:
+        return len(self.distances)
+
+def dijkstra(graph: 'int[:,:]', start: int, num_nodes: int, max_neighbors: int) -> 'int[:]':
+    """
+    Implements Dijkstra's algorithm to find the shortest paths from a start node.
+
+    Parameters:
+    graph (numpy array): A 2D numpy array where each row represents a node and contains up to 5 neighbors as pairs (neighbor, weight). -1 indicates no neighbor.
+    start (int): The starting node index.
+    num_nodes (int): Total number of nodes in the graph.
+
+    Returns:
+    numpy array: Shortest distances from the start node to each node.
+    """
+    priority_queue = MinHeap()
+    shortest_distances = np.full(num_nodes, int(1e9))  
+    shortest_distances[start] = 0
+
+    priority_queue.push(0, start)
+
+    while priority_queue.length() > 0:
+        current_distance, current_node = priority_queue.pop()
+
+        if current_distance > shortest_distances[current_node]:
+            continue
+
+        for i in range(0, 2 * max_neighbors, 2):
+            neighbor = graph[current_node, i]
+            weight = graph[current_node, i + 1]
+            if neighbor == -1 or current_node == neighbor:
+                continue
+
+            dist = current_distance + weight
+
+            if dist < shortest_distances[neighbor]:
+                shortest_distances[neighbor] = dist
+                priority_queue.push(dist, neighbor)
+
+    return shortest_distances
+
diff --git a/benchmarks/tests/setup_tools.py b/benchmarks/tests/setup_tools.py
new file mode 100644
index 00000000..5fb56f90
--- /dev/null
+++ b/benchmarks/tests/setup_tools.py
@@ -0,0 +1,19 @@
+import random
+import numpy as np
+
+def setup_sparse_dijkstra():
+    random.seed(1337)
+    MAX_NEIGHBORS = 100
+    NODES = 100_000
+    MAX_DIST = 1_000_000
+
+    a = []
+    for i in range(NODES):
+        neighs = random.randint(1, MAX_NEIGHBORS)
+        adj = [random.randint(0, NODES - 1) % NODES if i % 2 == 0 else random.randint(1, MAX_DIST) for i in range(2 * neighs)]
+        adj.extend([-1 for i in range(2 * (MAX_NEIGHBORS - neighs))])
+        a.append(adj)
+
+    aa = np.array(a, dtype=np.int64)
+
+    return aa, 0, NODES, MAX_NEIGHBORS
diff --git a/version_specific_results/devel_performance_310.md b/version_specific_results/devel_performance_310.md
index 25bac6e2..7511b88c 100644
--- a/version_specific_results/devel_performance_310.md
+++ b/version_specific_results/devel_performance_310.md
@@ -1,32 +1,34 @@
-### Performance Comparison (as of Tue Dec 10 10:35:43 UTC 2024)
+### Performance Comparison (as of Sun Dec 15 11:01:13 UTC 2024)
 ## Compilation time
 Algorithm                 | python                    | pythran_gnu               | pythran_intel             | numba                     | pyccel_fortran_gnu        | pyccel_c_gnu              | pyccel_fortran_intel      | pyccel_c_intel           
 ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | -------------------------
-Ackermann                 | -                         | 2.34                      | 2.13                      | 0.34                      | 1.34                      | 1.30                      | 1.42                      | 1.39                     
-Bellman Ford              | -                         | 3.44                      | 3.69                      | 1.08                      | 3.64                      | 3.97                      | 3.80                      | 4.04                     
-Dijkstra                  | -                         | 2.40                      | 2.70                      | 1.60                      | 3.70                      | 4.01                      | 3.96                      | 4.12                     
-Euler                     | -                         | 2.81                      | 3.17                      | 2.06                      | 3.75                      | 3.99                      | 3.79                      | 3.98                     
-Midpoint Explicit         | -                         | 3.20                      | 3.50                      | 3.10                      | 3.95                      | 4.24                      | 4.05                      | 4.19                     
-Midpoint Fixed            | -                         | 3.72                      | 4.08                      | 3.38                      | 4.10                      | 4.33                      | 4.17                      | 4.36                     
-RK4                       | -                         | 3.82                      | 4.33                      | 3.85                      | 4.46                      | 4.69                      | 4.53                      | 4.80                     
-FD - L Convection         | -                         | 2.41                      | 2.77                      | 0.94                      | 1.49                      | 4.06                      | 1.65                      | 4.09                     
-FD - NL Convection        | -                         | 3.42                      | 3.70                      | 0.92                      | 1.42                      | 3.99                      | 1.66                      | 3.94                     
-FD - Poisson              | -                         | 3.46                      | 3.77                      | 1.37                      | 1.59                      | 4.08                      | 2.85                      | 3.99                     
-FD - Laplace              | -                         | 6.68                      | 8.16                      | 3.17                      | 1.84                      | 4.46                      | 2.14                      | 4.40                     
-M-D                       | -                         | 6.60                      | 6.94                      | 4.14                      | -                         | -                         | -                         | -                        
+Ackermann                 | -                         | 2.30                      | 2.12                      | 0.33                      | 1.32                      | 1.32                      | 1.45                      | 1.39                     
+Bellman Ford              | -                         | 3.41                      | 3.68                      | 1.08                      | 3.70                      | 3.93                      | 3.78                      | 3.93                     
+Dijkstra                  | -                         | 2.38                      | 2.66                      | 1.56                      | 3.71                      | 3.98                      | 3.89                      | 4.04                     
+Dijkstra with heap class  | -                         | -                         | -                         | -                         | 4.23                      | 4.09                      | 4.61                      | 4.11                     
+Euler                     | -                         | 2.66                      | 3.04                      | 2.01                      | 3.61                      | 3.94                      | 3.77                      | 3.98                     
+Midpoint Explicit         | -                         | 3.04                      | 3.43                      | 2.99                      | 3.85                      | 4.18                      | 3.98                      | 4.17                     
+Midpoint Fixed            | -                         | 3.54                      | 3.95                      | 3.22                      | 3.95                      | 4.26                      | 4.09                      | 4.27                     
+RK4                       | -                         | 3.72                      | 4.22                      | 3.74                      | 4.33                      | 4.62                      | 4.44                      | 4.64                     
+FD - L Convection         | -                         | 2.31                      | 2.65                      | 0.87                      | 1.40                      | 3.93                      | 1.59                      | 3.93                     
+FD - NL Convection        | -                         | 3.29                      | 3.54                      | 0.88                      | 1.41                      | 3.92                      | 1.62                      | 3.91                     
+FD - Poisson              | -                         | 3.38                      | 3.64                      | 1.33                      | 1.53                      | 4.03                      | 2.84                      | 4.00                     
+FD - Laplace              | -                         | 6.49                      | 7.97                      | 3.01                      | 1.82                      | 4.34                      | 2.10                      | 4.28                     
+M-D                       | -                         | 6.41                      | 6.74                      | 4.03                      | -                         | -                         | -                         | -                        
 
 ## Execution time
 Algorithm                 | python                    | pythran_gnu               | pythran_intel             | numba                     | pyccel_fortran_gnu        | pyccel_c_gnu              | pyccel_fortran_intel      | pyccel_c_intel           
 ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | ------------------------- | -------------------------
-Ackermann (ms)            | 294.00                    | 2.85                      | 3.03                      | 9.76                      | 1.49                      | 1.55                      | 10.40                     | 4.35                     
-Bellman Ford (ms)         | 1760.00                   | 5.17                      | 3.43                      | 3.77                      | 2.87                      | 5.98                      | -                         | 19.20                    
-Dijkstra (ms)             | 4900.00                   | 26.10                     | 17.00                     | 19.70                     | 19.30                     | 31.00                     | -                         | 23.40                    
-Euler (ms)                | 3920.00                   | 25.30                     | 25.80                     | 38.30                     | 14.80                     | 145.00                    | 13.70                     | 128.00                   
-Midpoint Explicit (ms)    | 7980.00                   | 52.50                     | 51.40                     | 77.40                     | 23.90                     | 281.00                    | 16.80                     | 250.00                   
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-RK4 (ms)                  | 19900.00                  | 158.00                    | 35.60                     | 138.00                    | 34.20                     | 481.00                    | 38.60                     | 405.00                   
-FD - L Convection (ms)    | 2260.00                   | 1.63                      | 1.62                      | 2.68                      | 1.51                      | 1.63                      | -                         | 4.08                     
-FD - NL Convection (ms)   | 2710.00                   | 1.88                      | 1.63                      | 2.83                      | 1.97                      | 2.02                      | -                         | 4.08                     
-FD - Poisson (ms)         | 6150.00                   | 2.95                      | 5.46                      | 7.20                      | 2.77                      | 3.72                      | -                         | 4.93                     
-FD - Laplace (ms)         | 575.00                    | 64.20                     | 143.00                    | 246.00                    | 58.50                     | 255.00                    | -                         | 274.00                   
-M-D (ms)                  | 14800.00                  | 15.20                     | 53.10                     | 59.30                     | -                         | -                         | -                         | -                        
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+Bellman Ford (ms)         | 1750.00                   | 5.22                      | 3.41                      | 3.90                      | 2.94                      | 6.09                      | -                         | 18.90                    
+Dijkstra (ms)             | 4870.00                   | 25.30                     | 16.80                     | 18.90                     | 18.30                     | 29.30                     | -                         | 21.00                    
+Dijkstra with heap class (ms) | 8920.00                   | -                         | -                         | -                         | 264.00                    | 102.00                    | -                         | 107.00                   
+Euler (ms)                | 3790.00                   | 25.60                     | 25.40                     | 36.90                     | 14.40                     | 141.00                    | 13.80                     | 127.00                   
+Midpoint Explicit (ms)    | 7630.00                   | 52.70                     | 51.20                     | 78.00                     | 22.10                     | 279.00                    | 16.20                     | 251.00                   
+Midpoint Fixed (ms)       | 39500.00                  | 252.00                    | 92.50                     | 376.00                    | 74.40                     | 1400.00                   | 58.90                     | 1200.00                  
+RK4 (ms)                  | 21000.00                  | 161.00                    | 36.80                     | 139.00                    | 31.50                     | 485.00                    | 38.40                     | 402.00                   
+FD - L Convection (ms)    | 2260.00                   | 1.63                      | 1.60                      | 2.67                      | 1.54                      | 1.85                      | -                         | 4.06                     
+FD - NL Convection (ms)   | 2720.00                   | 1.82                      | 1.62                      | 2.77                      | 1.83                      | 2.03                      | -                         | 4.09                     
+FD - Poisson (ms)         | 6020.00                   | 2.95                      | 5.45                      | 7.10                      | 2.75                      | 3.84                      | -                         | 4.95                     
+FD - Laplace (ms)         | 578.00                    | 64.70                     | 143.00                    | 244.00                    | 58.10                     | 280.00                    | -                         | 273.00                   
+M-D (ms)                  | 14600.00                  | 15.30                     | 52.90                     | 58.90                     | -                         | -                         | -                         | -                        
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index 20865409..4cfb4ea5 100644
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diff --git a/version_specific_results/devel_performance_310_requirements.txt b/version_specific_results/devel_performance_310_requirements.txt
index 7889e519..d36b1404 100644
--- a/version_specific_results/devel_performance_310_requirements.txt
+++ b/version_specific_results/devel_performance_310_requirements.txt
@@ -4,11 +4,11 @@ beniget==0.4.2.post1
 contourpy==1.3.1
 cycler==0.12.1
 filelock==3.16.1
-fonttools==4.55.2
+fonttools==4.55.3
 gast==0.6.0
 kiwisolver==1.4.7
 llvmlite==0.43.0
-matplotlib==3.9.3
+matplotlib==3.10.0
 mpmath==1.3.0
 numba==0.60.0
 numpy==1.26.4
@@ -16,7 +16,7 @@ packaging==24.2
 pillow==11.0.0
 ply==3.11
 psutil==6.1.0
-pyccel @ git+https://github.com/pyccel/pyccel@6aefd2178efcd0f230dde182a0a7fc04fab18764
+pyccel @ git+https://github.com/pyccel/pyccel@1eb24c64a60debe239624150983cddcc6ca674f0
 pyccel-benchmarks @ file:///home/runner/work/pyccel-benchmarks/pyccel-benchmarks
 pyparsing==3.2.0
 pyperf==2.8.1