chore: 🧹 Ruff clean up

This commit is contained in:
2025-12-24 15:32:41 +00:00
parent 1d21ab5f36
commit 5da185a826
2 changed files with 8 additions and 4 deletions
+7 -3
View File
@@ -100,7 +100,9 @@ if __name__ == "__main__":
logging.info("Aborting...") logging.info("Aborting...")
exit(0) exit(0)
else: else:
shutil.rmtree(Path(Config.COMBINED_FOLDER)) # Delete everything including the directory shutil.rmtree(
Path(Config.COMBINED_FOLDER)
) # Delete everything including the directory
Path(Config.COMBINED_FOLDER).mkdir() Path(Config.COMBINED_FOLDER).mkdir()
extraction = Extract(Config) extraction = Extract(Config)
@@ -168,7 +170,7 @@ if __name__ == "__main__":
files_processed_so_far = ( files_processed_so_far = (
files_processed_previous + completed_count files_processed_previous + completed_count
) )
elapsed_time = time.time() - start elapsed_time = time.time() - start
rate_per_second = files_processed_so_far / elapsed_time rate_per_second = files_processed_so_far / elapsed_time
@@ -215,6 +217,8 @@ if __name__ == "__main__":
elif elapsed_time < 3600: elif elapsed_time < 3600:
elapsed_time_str = f"{int(elapsed_time // 60)}m {int(elapsed_time % 60)}s" elapsed_time_str = f"{int(elapsed_time // 60)}m {int(elapsed_time % 60)}s"
else: else:
elapsed_time_str = f"{int(elapsed_time // 3600)}h {int((elapsed_time % 3600) // 60)}m" elapsed_time_str = (
f"{int(elapsed_time // 3600)}h {int((elapsed_time % 3600) // 60)}m"
)
logging.info(f"All Complete total time {elapsed_time_str}") logging.info(f"All Complete total time {elapsed_time_str}")
+1 -1
View File
@@ -57,7 +57,7 @@ class GenerateTimeseries:
ypp = nrows_basin * cellres_basin ypp = nrows_basin * cellres_basin
start_col = np.floor(xp / cellres_radar) - 1 start_col = np.floor(xp / cellres_radar) - 1
end_col = np.ceil((xpp + xp) / cellres_radar) -1 end_col = np.ceil((xpp + xp) / cellres_radar) - 1
start_row = np.floor(nrows_radar - ((yp + ypp) / cellres_radar)) + 1 start_row = np.floor(nrows_radar - ((yp + ypp) / cellres_radar)) + 1
end_row = np.ceil(nrows_radar - (yp / cellres_radar)) + 1 end_row = np.ceil(nrows_radar - (yp / cellres_radar)) + 1