From 9ec48937e54ceb63356a4eb07c76ac63d6f5a577 Mon Sep 17 00:00:00 2001
From: tomrink <rink@ssec.wisc.edu>
Date: Sat, 5 Aug 2023 10:32:20 -0500
Subject: [PATCH] snapshot...
---
modules/util/abi_surfrad.py | 16 ++++++++--------
1 file changed, 8 insertions(+), 8 deletions(-)
diff --git a/modules/util/abi_surfrad.py b/modules/util/abi_surfrad.py
index d1c3b5ac..3cb05ad6 100644
--- a/modules/util/abi_surfrad.py
+++ b/modules/util/abi_surfrad.py
@@ -178,8 +178,8 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
valid_i = np.stack(data_tiles_i)
valid_m = np.stack(data_tiles_m)
if DO_WRITE_OUTFILE:
- np.save(out_directory + 'valid_mres_' + str(cnt), valid_m)
- np.save(out_directory + 'valid_ires_' + str(cnt), valid_i)
+ np.save(out_directory + 'valid_mres_' + f'{cnt:04d}', valid_m)
+ np.save(out_directory + 'valid_ires_' + f'{cnt:04d}', valid_i)
num_valid_samples = valid_m.shape[0]
param_valid_hist += np.histogram(valid_m[param_idx_m, ], bins=16, range=hist_range)[0]
@@ -200,8 +200,8 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
valid_i = np.stack(data_tiles_i)
valid_m = np.stack(data_tiles_m)
if DO_WRITE_OUTFILE:
- np.save(out_directory + 'valid_mres_' + str(cnt), valid_m)
- np.save(out_directory + 'valid_ires_' + str(cnt), valid_i)
+ np.save(out_directory + 'valid_mres_' + f'{cnt:04d}', valid_m)
+ np.save(out_directory + 'valid_ires_' + f'{cnt:04d}', valid_i)
num_valid_samples = valid_m.shape[0]
param_valid_hist += np.histogram(valid_m[param_idx_m, ], bins=16, range=hist_range)[0]
total_num_valid_samples += num_valid_samples
@@ -249,8 +249,8 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
train_i = np.stack(data_tiles_i)
train_m = np.stack(data_tiles_m)
if DO_WRITE_OUTFILE:
- np.save(out_directory + 'train_ires_' + str(cnt), train_i)
- np.save(out_directory + 'train_mres_' + str(cnt), train_m)
+ np.save(out_directory + 'train_ires_' + f'{cnt:04d}', train_i)
+ np.save(out_directory + 'train_mres_' + f'{cnt:04d}', train_m)
num_train_samples = train_m.shape[0]
param_train_hist += np.histogram(train_m[param_idx_m, ], bins=16, range=hist_range)[0]
@@ -271,8 +271,8 @@ def run_all(directory, out_directory, day_night='ANY', pattern='clavrx_*.nc', st
train_i = np.stack(data_tiles_i)
train_m = np.stack(data_tiles_m)
if DO_WRITE_OUTFILE:
- np.save(out_directory + 'train_ires_' + str(cnt), train_i)
- np.save(out_directory + 'train_mres_' + str(cnt), train_m)
+ np.save(out_directory + 'train_ires_' + f'{cnt:04d}', train_i)
+ np.save(out_directory + 'train_mres_' + f'{cnt:04d}', train_m)
num_train_samples = train_m.shape[0]
param_train_hist += np.histogram(train_m[param_idx_m, ], bins=16, range=hist_range)[0]
total_num_train_samples += num_train_samples
--
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