Download Fatigue_Life/Visuize/read_node.py from SachinSaud/Project_Fatigue: direct link, hf CLI and curl.
- Browser
- Download file 6.91 kB
-
https://huggingface.co/datasets/SachinSaud/Project_Fatigue/resolve/main/Fatigue_Life/Visuize/read_node.py
- Command line
-
hf download hf://datasets/SachinSaud/Project_Fatigue/Fatigue_Life/Visuize/read_node.py
-
curl -L -o read_node.py https://huggingface.co/datasets/SachinSaud/Project_Fatigue/resolve/main/Fatigue_Life/Visuize/read_node.py
6.91 kB
| import csv | |
| import os | |
| def read_dat_file(dat_file_path): | |
| nodes = {} # node_id -> (x,y,z) | |
| elements = [] # list of node_id lists for each element | |
| in_nodes = False | |
| in_elements = False | |
| with open(dat_file_path, "r") as file: | |
| lines = file.readlines() | |
| for line in lines: | |
| line = line.strip() | |
| # Detect node block | |
| if line.lower().startswith("nblock"): | |
| in_nodes = True | |
| in_elements = False | |
| continue | |
| if line == "-1": | |
| if in_nodes: | |
| in_nodes = False | |
| elif in_elements: | |
| in_elements = False | |
| continue | |
| # Detect element block | |
| if line.lower().startswith("eblock"): | |
| in_elements = True | |
| in_nodes = False | |
| continue | |
| # Parse nodes | |
| if in_nodes: | |
| parts = line.split() | |
| if len(parts) >= 4: | |
| try: | |
| node_id = int(parts[0]) | |
| x = float(parts[1]) | |
| y = float(parts[2]) | |
| z = float(parts[3]) | |
| nodes[node_id] = (x, y, z) | |
| except Exception: | |
| pass # ignore malformed lines | |
| # Parse elements (assuming EBLOCK contains element lines) | |
| if in_elements: | |
| parts = line.split() | |
| if len(parts) >= 15: | |
| # Extract the 4 node IDs from the standard positions | |
| # Usually nodes start around index 10 or 11 — adjust if needed | |
| try: | |
| # For tetrahedral elements, pick 4 node IDs. | |
| # You need to confirm the exact positions for your .dat file. | |
| node_ids = [int(parts[11]), int(parts[12]), int(parts[13]), int(parts[15])] | |
| elements.append(node_ids) | |
| except Exception: | |
| pass # ignore malformed lines | |
| # Sort node IDs and create a mapping from node_id to zero-based index | |
| sorted_node_ids = sorted(nodes.keys()) | |
| id_to_index = {nid: i for i, nid in enumerate(sorted_node_ids)} | |
| # Build positions array ordered by zero-based index | |
| positions = [nodes[nid] for nid in sorted_node_ids] | |
| # Convert element connectivity node IDs to zero-based indices | |
| connectivity = [] | |
| for elem_node_ids in elements: | |
| try: | |
| zero_based = [id_to_index[nid] for nid in elem_node_ids] | |
| connectivity.append(zero_based) | |
| except KeyError: | |
| # Skip elements with invalid node IDs | |
| continue | |
| return positions, connectivity | |
| """ | |
| def read_dat_file(dat_file_path): | |
| in_nodes = False | |
| in_elements = False | |
| nodes = [] | |
| cells_detail = [] | |
| with open(dat_file_path, "r") as file: | |
| lines = file.readlines() | |
| lines_iter = iter(lines) | |
| for line in lines_iter: | |
| line = line.strip() | |
| # Detect node block | |
| if line.lower().startswith("nblock"): | |
| in_nodes = True | |
| continue | |
| if in_nodes and line.strip() == "-1": | |
| in_nodes = False | |
| continue | |
| # Detect element block (EBLOCK) | |
| if line.lower().startswith("eblock"): | |
| in_elements = True | |
| continue | |
| if in_elements and line.strip() == "-1": | |
| in_elements = False | |
| continue | |
| # Parse nodes | |
| if in_nodes: | |
| parts = line.split() | |
| if len(parts) == 4: | |
| #node_id = int(parts[0]) | |
| x = float(parts[1]) | |
| y = float(parts[2]) | |
| z = float(parts[3]) | |
| nodes.append(( x, y, z)) | |
| # Parse elements (EBLOCK, 2-line format) | |
| if in_elements: | |
| parts = line.split() | |
| num_nodes =8 | |
| if len(parts) > 14: | |
| # Ensure the line has 4 parts: ID, X, Y, Z | |
| num_nodes = int(parts[8]) | |
| less = 0 | |
| if num_nodes < 8: | |
| less = 8-num_nodes | |
| node_idsz = [] | |
| # print(parts) | |
| element_id = [int(parts[10])] # Element ID | |
| body_id = [int(parts[0])] | |
| for i in range(11, 19-less): | |
| # print(i) | |
| node_idsz.append(int(parts[i])) # Node IDs | |
| if num_nodes<=8: | |
| cells_detail.append(element_id+body_id+node_idsz) | |
| if len(parts) == num_nodes-8 and num_nodes>8: # Ensure the line has 4 parts: ID, X, Y, Z | |
| for i in range(0,num_nodes-8 ): | |
| node_idsz.append(int(parts[i])) | |
| #next_line = next(lines_iter).strip() # this is only required if the next line contains more node ids in case of hexhedral elements | |
| #node_ids += [int(x) for x in next_line.split()] | |
| # print(element_id, node_idsz) | |
| cells_detail.append(element_id+body_id+node_idsz) | |
| # Sort nodes and cells | |
| nodes.sort(key=lambda x: x[0]) | |
| cells_detail.sort(key=lambda x: x[0]) | |
| # Remove duplicates | |
| cells_detail = [list(item) for item in dict.fromkeys(tuple(cell) for cell in cells_detail)] | |
| # Extract 4-node face from each cell (can adjust as needed) | |
| cells = [[cell[2], cell[3], cell[4], cell[6]] for cell in cells_detail] | |
| return nodes, cells | |
| """ | |
| def read_result_file(result_file_path, encoding='utf-8'): | |
| parameters = [] | |
| with open(result_file_path, mode='r', encoding=encoding) as file: | |
| if result_file_path.endswith(".csv"): | |
| reader = csv.reader(file) | |
| next(reader) # Skip header | |
| for row in reader: | |
| parameters.append(float(row[-1])) | |
| elif result_file_path.endswith(".txt"): | |
| for line in file: | |
| if "Node Number" in line: | |
| continue | |
| columns = line.split() | |
| try: | |
| parameters.append(float(columns[-1])) | |
| except ValueError: | |
| continue | |
| return parameters | |
| def main(folder_path): | |
| folder_base_name = os.path.basename(folder_path).replace("_data", "") | |
| dat_file_path = os.path.join(folder_path, f"{folder_base_name}.dat") | |
| fatigue_life_path = os.path.join(folder_path, f"{folder_base_name}.txt") | |
| dat_file_path = "path/to/your/dat_file.dat" | |
| fatigue_life_path = "path/to/your/fatigue_life.txt" | |
| nodes = read_dat_file(dat_file_path) | |
| life = read_result_file(fatigue_life_path) | |
| # Do something with the data | |
| print("Nodes:") | |
| for node in nodes: | |
| print(node) | |
| print("\nLife:") | |
| for param in life: | |
| print(param) | |