diff --git a/.gitattributes b/.gitattributes
index dc19e0f3dd0930fe1703ae0b9e6fb227f40c3515..b1f8d2bc607ee6619c187c5b2921c42d5b13b7eb 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -50,3 +50,6 @@
 /runs/TransformerBasedTMPrediction/Datasets/legacy/training/training_human_PCT_with_danio_no_therm.parquet filter=lfs diff=lfs merge=lfs -text
 /runs/TransformerBasedTMPrediction/Datasets/legacy/training/training_human_PCT_with_danio_only_human.csv filter=lfs diff=lfs merge=lfs -text
 /runs/TransformerBasedTMPrediction/Datasets/legacy/training/training_human_PCT_with_danio_only_human.parquet filter=lfs diff=lfs merge=lfs -text
+/runs/ResamplingOfTrainingData/legacy/training_human_PCT_with_danio_sampled.csv filter=lfs diff=lfs merge=lfs -text
+/runs/ResamplingOfTrainingData/legacy/training_human_PCT_with_danio_sampled.parquet filter=lfs diff=lfs merge=lfs -text
+/runs/ResamplingOfTrainingData/legacy/training_human_PCT_with_danio_sampled_10K_dif_growth.parquet filter=lfs diff=lfs merge=lfs -text
diff --git a/runs/ResamplingOfTrainingData/training_human_PCT_features_with_danio_sampled.csv b/runs/ResamplingOfTrainingData/legacy/training_human_PCT_features_with_danio_sampled.csv
similarity index 100%
rename from runs/ResamplingOfTrainingData/training_human_PCT_features_with_danio_sampled.csv
rename to runs/ResamplingOfTrainingData/legacy/training_human_PCT_features_with_danio_sampled.csv
diff --git a/runs/ResamplingOfTrainingData/training_human_PCT_features_with_danio_sampled.parquet b/runs/ResamplingOfTrainingData/legacy/training_human_PCT_features_with_danio_sampled.parquet
similarity index 100%
rename from runs/ResamplingOfTrainingData/training_human_PCT_features_with_danio_sampled.parquet
rename to runs/ResamplingOfTrainingData/legacy/training_human_PCT_features_with_danio_sampled.parquet
diff --git a/runs/ResamplingOfTrainingData/training_human_PCT_with_danio_sampled.csv b/runs/ResamplingOfTrainingData/legacy/training_human_PCT_with_danio_sampled.csv
similarity index 100%
rename from runs/ResamplingOfTrainingData/training_human_PCT_with_danio_sampled.csv
rename to runs/ResamplingOfTrainingData/legacy/training_human_PCT_with_danio_sampled.csv
diff --git a/runs/ResamplingOfTrainingData/training_human_PCT_with_danio_sampled.parquet b/runs/ResamplingOfTrainingData/legacy/training_human_PCT_with_danio_sampled.parquet
similarity index 100%
rename from runs/ResamplingOfTrainingData/training_human_PCT_with_danio_sampled.parquet
rename to runs/ResamplingOfTrainingData/legacy/training_human_PCT_with_danio_sampled.parquet
diff --git a/runs/ResamplingOfTrainingData/training_human_PCT_with_danio_sampled_10K_dif_growth.parquet b/runs/ResamplingOfTrainingData/legacy/training_human_PCT_with_danio_sampled_10K_dif_growth.parquet
similarity index 100%
rename from runs/ResamplingOfTrainingData/training_human_PCT_with_danio_sampled_10K_dif_growth.parquet
rename to runs/ResamplingOfTrainingData/legacy/training_human_PCT_with_danio_sampled_10K_dif_growth.parquet
diff --git a/runs/TransformerBasedTMPrediction/Datasets/legacy/base/README.md b/runs/TransformerBasedTMPrediction/Datasets/legacy/base/README.md
index a3dfc501fba740090006e4fab6c08118a14eaf27..9dd2dd6664da66c51e21903586091b9e4548babd 100644
--- a/runs/TransformerBasedTMPrediction/Datasets/legacy/base/README.md
+++ b/runs/TransformerBasedTMPrediction/Datasets/legacy/base/README.md
@@ -29,6 +29,7 @@ The other file found in workflows/TransformerBasedTMPrediction/ is named tuning.
 ### Using the datafiles
 
 All datafiles that were used to train deepSTABp can be found in the /runs/TransformerBasedTMPrediction/Datasets folder. The folder base has the compelete dataset, the folder training, testing, and validation have the sampled datasets that emerged from the base dataset. The datasets are availabe in csv and parqut format. 
+The  resampled training dataset can be found in /runs/ResamplingOfTrainingData.
 
 # ARCs
 
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_b25_10k_tuned_2e_d01.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/deepSTABp_prediction/full_dataset_pred_new_arch_train_sample_b25_10k_tuned_2e_d01.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_b25_10k_tuned_2e_d01.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/deepSTABp_prediction/full_dataset_pred_new_arch_train_sample_b25_10k_tuned_2e_d01.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01_dif.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/deepSTABp_prediction/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01_dif.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01_dif.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/deepSTABp_prediction/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01_dif.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01_mertics.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/deepSTABp_prediction/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01_mertics.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01_mertics.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/deepSTABp_prediction/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01_mertics.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Baseline/Full_dataset/full_dataset_difference.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Baseline/Full_dataset/full_dataset_difference.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Baseline/Full_dataset/full_dataset_difference.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Baseline/Full_dataset/full_dataset_difference.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Baseline/Full_dataset/full_dataset_metrics.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Baseline/Full_dataset/full_dataset_metrics.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Baseline/Full_dataset/full_dataset_metrics.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Baseline/Full_dataset/full_dataset_metrics.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Baseline/Full_dataset/full_dataset_pred_seqeuence.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Baseline/Full_dataset/full_dataset_pred_seqeuence.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Baseline/Full_dataset/full_dataset_pred_seqeuence.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Baseline/Full_dataset/full_dataset_pred_seqeuence.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Baseline/prostab_comparison/baseline_prostab_comparison.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Baseline/prostab_comparison/baseline_prostab_comparison.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Baseline/prostab_comparison/baseline_prostab_comparison.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Baseline/prostab_comparison/baseline_prostab_comparison.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Baseline/prostab_comparison/baseline_prostab_comparison_metrics.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Baseline/prostab_comparison/baseline_prostab_comparison_metrics.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Baseline/prostab_comparison/baseline_prostab_comparison_metrics.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Baseline/prostab_comparison/baseline_prostab_comparison_metrics.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Baseline/prostab_comparison/baseline_prostab_pred.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Baseline/prostab_comparison/baseline_prostab_pred.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Baseline/prostab_comparison/baseline_prostab_pred.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Baseline/prostab_comparison/baseline_prostab_pred.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Meltome_human/Full_dataset/full_dataset_pred.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Meltome_human/Full_dataset/full_dataset_pred.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Meltome_human/Full_dataset/full_dataset_pred.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Meltome_human/Full_dataset/full_dataset_pred.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Meltome_human/protstab_comparison/human_meltome_prostab_pred.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Meltome_human/protstab_comparison/human_meltome_prostab_pred.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Meltome_human/protstab_comparison/human_meltome_prostab_pred.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Meltome_human/protstab_comparison/human_meltome_prostab_pred.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_difference.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_difference.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_difference.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_difference.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_metrics.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_metrics.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_metrics.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_metrics.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_b25_10k.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_b25_10k.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_b25_10k.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_b25_10k.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_b25_10k_tuned_1e_d01.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_b25_10k_tuned_1e_d01.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_b25_10k_tuned_1e_d01.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_b25_10k_tuned_1e_d01.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_tuned_2.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_tuned_2.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_tuned_2.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_tuned_2.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_tuned_5.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_tuned_5.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_tuned_5.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_tuned_5.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_no_therm.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_no_therm.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_no_therm.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_no_therm.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_old_achri.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_old_achri.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_old_achri.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_old_achri.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_only_human.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_only_human.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_only_human.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_only_human.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_only_human_new_arch.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_only_human_new_arch.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_only_human_new_arch.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_only_human_new_arch.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_sampled_new_arch.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_sampled_new_arch.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_sampled_new_arch.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_sampled_new_arch.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/only_non_training_proteins.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/only_non_training_proteins.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/only_non_training_proteins.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/only_non_training_proteins.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/test_pred_new_arch_train_sample_tuned_5.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/test_pred_new_arch_train_sample_tuned_5.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/test_pred_new_arch_train_sample_tuned_5.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/Full_dataset/test_pred_new_arch_train_sample_tuned_5.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_Notsampled_b25.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_Notsampled_b25.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_Notsampled_b25.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_Notsampled_b25.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K_b16_lrAuto.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K_b16_lrAuto.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K_b16_lrAuto.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K_b16_lrAuto.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K_b32.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K_b32.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K_b32.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K_b32.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K_onlyNormfstLayer.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K_onlyNormfstLayer.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K_onlyNormfstLayer.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10K_onlyNormfstLayer.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_1e_d01_dif.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_1e_d01_dif.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_1e_d01_dif.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_1e_d01_dif.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_1e_d01_mertics.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_1e_d01_mertics.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_1e_d01_mertics.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_1e_d01_mertics.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_2e_d01_dif.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_2e_d01_dif.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_2e_d01_dif.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_2e_d01_dif.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_2e_d01_mertics.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_2e_d01_mertics.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_2e_d01_mertics.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_2e_d01_mertics.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_e1_01d.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_e1_01d.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_e1_01d.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_e1_01d.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_e2_01d.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_e2_01d.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_e2_01d.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_e2_01d.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dif.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dif.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dif.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dif.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_1e_d01_dif.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_1e_d01_dif.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_1e_d01_dif.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_1e_d01_dif.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_1e_d01_mertics.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_1e_d01_mertics.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_1e_d01_mertics.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_1e_d01_mertics.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_2e_d01_dif.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_2e_d01_dif.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_2e_d01_dif.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_2e_d01_dif.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_2e_d01_mertics.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_2e_d01_mertics.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_2e_d01_mertics.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_2e_d01_mertics.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_e1_01d.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_e1_01d.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_e1_01d.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_e1_01d.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_e2_01d.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_e2_01d.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_e2_01d.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_e2_01d.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_mertics.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_mertics.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_mertics.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_mertics.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_1e_d01.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_1e_d01.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_1e_d01.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_1e_d01.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_1e_d01_dif.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_1e_d01_dif.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_1e_d01_dif.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_1e_d01_dif.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_1e_d01_mertics.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_1e_d01_mertics.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_1e_d01_mertics.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_1e_d01_mertics.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d02.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d02.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d02.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d02.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_tuned.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_tuned.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_tuned.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_tuned.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_tuned_20.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_tuned_20.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_tuned_20.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_tuned_20.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_tpc_prostab_comparison.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_tpc_prostab_comparison.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_tpc_prostab_comparison.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_tpc_prostab_comparison.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_tpc_prostab_comparison_metrics.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_tpc_prostab_comparison_metrics.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_tpc_prostab_comparison_metrics.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_tpc_prostab_comparison_metrics.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_tpc_prostab_pred.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_tpc_prostab_pred.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_tpc_prostab_pred.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/Thermal_prox_coagg_human/ProTstab2_comparison/human_tpc_prostab_pred.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_full.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_full.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_full.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_full.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_full_dif.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_full_dif.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_full_dif.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_full_dif.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_full_dif_train_sample.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_full_dif_train_sample.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_full_dif_train_sample.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_full_dif_train_sample.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_full_metrics.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_full_metrics.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_full_metrics.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_full_metrics.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_full_train_sample_metrics.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_full_train_sample_metrics.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_full_train_sample_metrics.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_full_train_sample_metrics.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_prostab.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_prostab.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_prostab.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_prostab.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_prostab_dif.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_prostab_dif.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_prostab_dif.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_prostab_dif.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_prostab_mertics.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_prostab_mertics.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/growth/growth_pred_prostab_mertics.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/growth/growth_pred_prostab_mertics.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/light_attention/e30_prostab_pred.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/light_attention/e30_prostab_pred.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/light_attention/e30_prostab_pred.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/light_attention/e30_prostab_pred.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/light_attention/prostab_pred.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/light_attention/prostab_pred.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/light_attention/prostab_pred.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/light_attention/prostab_pred.csv
diff --git a/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/new_archi/full_dataset_pred.csv b/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/new_archi/full_dataset_pred.csv
similarity index 100%
rename from runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/new_archi/full_dataset_pred.csv
rename to runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/legacy/new_archi/full_dataset_pred.csv
diff --git a/runs/growth_temperature/fig_rainbow_v3.svg b/runs/growth_temperature/fig_rainbow_v3.svg
index 4c29323a87960660d8ce1a2983dadde07bd7bc34..3d36cc76c6b787e3fd393c78479a2f639c5397de 100644
--- a/runs/growth_temperature/fig_rainbow_v3.svg
+++ b/runs/growth_temperature/fig_rainbow_v3.svg
@@ -1 +1 @@
-<svg class="main-svg" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1000" height="1000" style="" viewBox="0 0 1000 1000"><rect x="0" y="0" width="1000" height="1000" style="fill: rgb(0, 0, 0); fill-opacity: 0;"/><defs id="defs-c3d04e"><g class="clips"><clipPath id="clipc3d04exyplot" class="plotclip"><rect width="807" height="267.9936"/></clipPath><clipPath id="clipc3d04ex2y2plot" class="plotclip"><rect width="807" height="114.85439999999997"/></clipPath><clipPath id="clipc3d04ex3y3plot" class="plotclip"><rect width="807" height="267.9936"/></clipPath><clipPath id="clipc3d04ex4y4plot" class="plotclip"><rect width="807" height="114.8544"/></clipPath><clipPath class="axesclip" id="clipc3d04ex"><rect x="113" y="0" width="807" height="1000"/></clipPath><clipPath class="axesclip" id="clipc3d04ey"><rect x="0" y="100.00000000000009" width="1000" height="267.9936"/></clipPath><clipPath class="axesclip" id="clipc3d04exy"><rect x="113" y="100.00000000000009" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clipc3d04ey2"><rect x="0" y="368.76160000000004" width="1000" height="114.85439999999997"/></clipPath><clipPath class="axesclip" id="clipc3d04exy2"><rect x="113" y="368.76160000000004" width="807" height="114.85439999999997"/></clipPath><clipPath class="axesclip" id="clipc3d04ey3"><rect x="0" y="484.384" width="1000" height="267.9936"/></clipPath><clipPath class="axesclip" id="clipc3d04exy3"><rect x="113" y="484.384" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clipc3d04ey4"><rect x="0" y="753.1456000000001" width="1000" height="114.8544"/></clipPath><clipPath class="axesclip" id="clipc3d04exy4"><rect x="113" y="753.1456000000001" width="807" height="114.8544"/></clipPath><clipPath class="axesclip" id="clipc3d04ex2"><rect x="113" y="0" width="807" height="1000"/></clipPath><clipPath class="axesclip" id="clipc3d04ex2y"><rect x="113" y="100.00000000000009" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clipc3d04ex2y2"><rect x="113" y="368.76160000000004" width="807" height="114.85439999999997"/></clipPath><clipPath class="axesclip" id="clipc3d04ex2y3"><rect x="113" y="484.384" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clipc3d04ex2y4"><rect x="113" y="753.1456000000001" width="807" height="114.8544"/></clipPath><clipPath class="axesclip" id="clipc3d04ex3"><rect x="113" y="0" width="807" height="1000"/></clipPath><clipPath class="axesclip" id="clipc3d04ex3y"><rect x="113" y="100.00000000000009" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clipc3d04ex3y2"><rect x="113" y="368.76160000000004" width="807" height="114.85439999999997"/></clipPath><clipPath class="axesclip" id="clipc3d04ex3y3"><rect x="113" y="484.384" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clipc3d04ex3y4"><rect x="113" y="753.1456000000001" width="807" height="114.8544"/></clipPath><clipPath class="axesclip" id="clipc3d04ex4"><rect x="113" y="0" width="807" height="1000"/></clipPath><clipPath class="axesclip" id="clipc3d04ex4y"><rect x="113" y="100.00000000000009" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clipc3d04ex4y2"><rect x="113" y="368.76160000000004" width="807" height="114.85439999999997"/></clipPath><clipPath class="axesclip" id="clipc3d04ex4y3"><rect x="113" y="484.384" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clipc3d04ex4y4"><rect x="113" y="753.1456000000001" width="807" height="114.8544"/></clipPath></g><g class="gradients"/><g class="patterns"/></defs><g class="bglayer"><rect class="bg" x="113" y="100.00000000000009" width="807" height="267.9936" style="fill: rgb(0, 0, 0); fill-opacity: 0; stroke-width: 0;"/><rect class="bg" x="113" y="368.76160000000004" width="807" height="114.85439999999997" style="fill: rgb(0, 0, 0); fill-opacity: 0; stroke-width: 0;"/><rect class="bg" x="113" y="484.384" width="807" height="267.9936" style="fill: rgb(0, 0, 0); fill-opacity: 0; stroke-width: 0;"/><rect class="bg" x="113" y="753.1456000000001" width="807" height="114.8544" style="fill: rgb(0, 0, 0); fill-opacity: 0; stroke-width: 0;"/></g><g class="layer-below"><g class="imagelayer"/><g class="shapelayer"/></g><g class="cartesianlayer"><g class="subplot xy"><g class="layer-subplot"><g class="shapelayer"/><g class="imagelayer"/></g><g class="minor-gridlayer"><g class="x"/><g class="y"/></g><g class="gridlayer"><g class="x"/><g class="y"><path class="ygrid crisp" transform="translate(0,329.7100000000001)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="ygrid crisp" transform="translate(0,291.4200000000001)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="ygrid crisp" transform="translate(0,253.14000000000007)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="ygrid crisp" transform="translate(0,214.85000000000008)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="ygrid crisp" transform="translate(0,176.57000000000008)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="ygrid crisp" transform="translate(0,138.2800000000001)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/></g></g><g class="zerolinelayer"><path class="yzl zl crisp" transform="translate(0,367.9900000000001)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 2px;"/></g><path class="xlines-below"/><path class="ylines-below"/><g class="overlines-below"/><g class="xaxislayer-below"/><g class="yaxislayer-below"/><g class="overaxes-below"/><g class="plot" transform="translate(113,100.00000000000009)" clip-path="url(#clipc3d04exyplot)"><g class="barlayer mlayer"><g class="trace bars" shape-rendering="crispEdges" style="opacity: 1;"><g class="points"><g class="point"><path d="M-13.45,267.99V267.23H0V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M40.35,267.99V267.23H53.8V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M80.7,267.99V267.23H94.15V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M121.05,267.99V267.23H134.5V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M134.5,267.99V264.93H147.95V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M147.95,267.99V265.7H161.4V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M161.4,267.99V264.17H174.85V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M174.85,267.99V261.1H188.3V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M188.3,267.99V261.1H201.75V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M201.75,267.99V253.45H215.2V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M215.2,267.99V252.68H228.65V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M228.65,267.99V253.45H242.1V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M242.1,267.99V242.73H255.55V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M255.55,267.99V222.82H269V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M269,267.99V215.16H282.45V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M282.45,267.99V200.61H295.9V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M295.9,267.99V191.42H309.35V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M309.35,267.99V185.3H322.8V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M322.8,267.99V155.44H336.25V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M336.25,267.99V159.26H349.7V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M349.7,267.99V130.93H363.15V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M363.15,267.99V122.51H376.6V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M376.6,267.99V137.06H390.05V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M390.05,267.99V116.39H403.5V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M403.5,267.99V98.01H416.95V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M416.95,267.99V118.68H430.4V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M430.4,267.99V131.7H443.85V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M443.85,267.99V143.19H457.3V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M457.3,267.99V173.81H470.75V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M470.75,267.99V202.14H484.2V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M484.2,267.99V204.44H497.65V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M497.65,267.99V224.35H511.1V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M511.1,267.99V220.52H524.55V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M524.55,267.99V226.65H538V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M538,267.99V245.79H551.45V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M551.45,267.99V251.15H564.9V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M564.9,267.99V255.74H578.35V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M578.35,267.99V257.27H591.8V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M591.8,267.99V258.04H605.25V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M605.25,267.99V261.1H618.7V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M618.7,267.99V264.17H632.15V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M632.15,267.99V263.4H645.6V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M645.6,267.99V264.93H659.05V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M659.05,267.99V266.46H672.5V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M672.5,267.99V266.46H685.95V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M685.95,267.99V267.23H699.4V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M699.4,267.99V267.23H712.85V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M712.85,267.99V264.93H726.3V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M726.3,267.99V266.46H739.75V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M739.75,267.99V266.46H753.2V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M753.2,267.99V267.23H766.65V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M807,267.99V267.23H820.45V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M860.8,267.99V267.23H874.25V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g></g></g></g></g><g class="overplot"/><path class="xlines-above crisp" d="M0,0" style="fill: none;"/><path class="ylines-above crisp" d="" style="fill: none; stroke-width: 1px; stroke: rgb(0, 0, 0); stroke-opacity: 0;"/><g class="overlines-above"/><g class="xaxislayer-above"/><g class="yaxislayer-above"><path class="ytick ticks crisp" d="M113,0h10" transform="translate(0,329.7100000000001)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="ytick ticks crisp" d="M113,0h10" transform="translate(0,291.4200000000001)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="ytick ticks crisp" d="M113,0h10" transform="translate(0,253.14000000000007)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="ytick ticks crisp" d="M113,0h10" transform="translate(0,214.85000000000008)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="ytick ticks crisp" d="M113,0h10" transform="translate(0,176.57000000000008)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="ytick ticks crisp" d="M113,0h10" transform="translate(0,138.2800000000001)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><g class="ytick"><text text-anchor="end" x="112" y="10.5" transform="translate(0,367.9900000000001)" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;">0</text></g><g class="ytick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,329.7100000000001)">50</text></g><g class="ytick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,291.4200000000001)">100</text></g><g class="ytick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,253.14000000000007)">150</text></g><g class="ytick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,214.85000000000008)">200</text></g><g class="ytick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,176.57000000000008)">250</text></g><g class="ytick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,138.2800000000001)">300</text></g><g class="ytick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,100.00000000000009)">350</text></g></g><g class="overaxes-above"/></g><g class="subplot x2y2"><g class="layer-subplot"><g class="shapelayer"/><g class="imagelayer"/></g><g class="minor-gridlayer"><g class="x2"/><g class="y2"/></g><g class="gridlayer"><g class="x2"><path class="x2grid crisp" transform="translate(247.5,0)" d="M0,368.76160000000004v114.85439999999997" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="x2grid crisp" transform="translate(382,0)" d="M0,368.76160000000004v114.85439999999997" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="x2grid crisp" transform="translate(651,0)" d="M0,368.76160000000004v114.85439999999997" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="x2grid crisp" transform="translate(785.5,0)" d="M0,368.76160000000004v114.85439999999997" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/></g><g class="y2"/></g><g class="zerolinelayer"><path class="x2zl zl crisp" transform="translate(516.5,0)" d="M0,368.76160000000004v114.85439999999997" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 2px;"/></g><path class="xlines-below"/><path class="ylines-below"/><g class="overlines-below"/><g class="xaxislayer-below"/><g class="yaxislayer-below"/><g class="overaxes-below"/><g class="plot" transform="translate(113,368.76160000000004)" clip-path="url(#clipc3d04ex2y2plot)"><g class="boxlayer mlayer"><g class="trace boxes" style="opacity: 1;"><path class="box" d="M395.45,85.57V29.29M338.84,85.57V29.29H446.66V85.57ZM338.84,57.43H178.12M446.66,57.43H608.09M178.12,71.5V43.36M608.09,71.5V43.36" style="vector-effect: non-scaling-stroke; stroke-width: 2px; stroke: rgb(80, 114, 137); stroke-opacity: 1; fill: rgb(80, 114, 137); fill-opacity: 0.5;"/><g class="points"><path class="point" transform="translate(-5.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(48.25,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(82.43,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(123.09,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(137.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(137.96,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(139.33,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(140.71,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(151.29,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(153.79,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(158.7,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(164.71,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(166.65,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(167.81,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(171.09,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(171.09,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(176.59,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(608.86,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(611.46,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(614.76,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(617.25,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(620.08,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(623.31,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(628.05,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(630.83,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(630.83,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(635.52,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(642.34,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(642.34,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(644.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(644.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(644.45,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(647.13,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(649.78,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(651.64,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(652.53,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(665.27,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(668.82,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(672.73,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(677.8,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(689.99,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(705.03,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(714.36,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(714.36,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(715.14,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(722.18,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(730.18,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(730.18,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(744.25,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(752.27,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(760.93,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(815.23,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(864.44,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g></g></g></g><g class="overplot"/><path class="xlines-above crisp" d="M0,0" style="fill: none;"/><path class="ylines-above crisp" d="M0,0" style="fill: none;"/><g class="overlines-above"/><g class="xaxislayer-above"/><g class="yaxislayer-above"/><g class="overaxes-above"/></g><g class="subplot x3y3"><g class="layer-subplot"><g class="shapelayer"/><g class="imagelayer"/></g><g class="minor-gridlayer"><g class="x3"/><g class="y3"/></g><g class="gridlayer"><g class="x3"/><g class="y3"><path class="y3grid crisp" transform="translate(0,714.094)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3grid crisp" transform="translate(0,675.804)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3grid crisp" transform="translate(0,637.524)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3grid crisp" transform="translate(0,599.234)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3grid crisp" transform="translate(0,560.954)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3grid crisp" transform="translate(0,522.664)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/></g></g><g class="zerolinelayer"><path class="y3zl zl crisp" transform="translate(0,752.374)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 2px;"/></g><path class="xlines-below"/><path class="ylines-below"/><g class="overlines-below"/><g class="xaxislayer-below"/><g class="yaxislayer-below"/><g class="overaxes-below"/><g class="plot" transform="translate(113,484.384)" clip-path="url(#clipc3d04ex3y3plot)"><g class="barlayer mlayer"><g class="trace bars" shape-rendering="crispEdges" style="opacity: 1;"><g class="points"><g class="point"><path d="M80.7,267.99V267.23H94.15V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M134.5,267.99V267.23H147.95V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M174.85,267.99V267.23H188.3V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M188.3,267.99V267.23H201.75V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M201.75,267.99V266.46H215.2V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M215.2,267.99V264.93H228.65V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M228.65,267.99V265.7H242.1V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M242.1,267.99V259.57H255.55V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M255.55,267.99V258.81H269V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M269,267.99V263.4H282.45V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M282.45,267.99V241.96H295.9V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M295.9,267.99V241.96H309.35V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M309.35,267.99V216.69H322.8V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M322.8,267.99V187.6H336.25V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M336.25,267.99V182.24H349.7V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M349.7,267.99V105.67H363.15V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M363.15,267.99V66.62H376.6V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M376.6,267.99V19.91H390.05V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M390.05,267.99V35.99H403.5V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M403.5,267.99V16.08H416.95V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M416.95,267.99V62.02H430.4V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M430.4,267.99V94.95H443.85V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M443.85,267.99V137.83H457.3V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M457.3,267.99V179.94H470.75V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M470.75,267.99V205.21H484.2V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M484.2,267.99V222.82H497.65V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M497.65,267.99V228.94H511.1V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M511.1,267.99V237.37H524.55V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M524.55,267.99V247.32H538V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M538,267.99V248.85H551.45V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M551.45,267.99V258.81H564.9V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M564.9,267.99V258.81H578.35V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M578.35,267.99V261.87H591.8V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M591.8,267.99V264.17H605.25V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M605.25,267.99V263.4H618.7V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M618.7,267.99V266.46H632.15V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g></g></g></g></g><g class="overplot"/><path class="xlines-above crisp" d="M0,0" style="fill: none;"/><path class="ylines-above crisp" d="" style="fill: none; stroke-width: 1px; stroke: rgb(0, 0, 0); stroke-opacity: 0;"/><g class="overlines-above"/><g class="xaxislayer-above"/><g class="yaxislayer-above"><path class="y3tick ticks crisp" d="M113,0h10" transform="translate(0,714.094)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3tick ticks crisp" d="M113,0h10" transform="translate(0,675.804)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3tick ticks crisp" d="M113,0h10" transform="translate(0,637.524)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3tick ticks crisp" d="M113,0h10" transform="translate(0,599.234)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3tick ticks crisp" d="M113,0h10" transform="translate(0,560.954)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3tick ticks crisp" d="M113,0h10" transform="translate(0,522.664)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><g class="y3tick"><text text-anchor="end" x="112" y="10.5" transform="translate(0,752.374)" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;">0</text></g><g class="y3tick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,714.094)">50</text></g><g class="y3tick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,675.804)">100</text></g><g class="y3tick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,637.524)">150</text></g><g class="y3tick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,599.234)">200</text></g><g class="y3tick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,560.954)">250</text></g><g class="y3tick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,522.664)">300</text></g><g class="y3tick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,484.384)">350</text></g></g><g class="overaxes-above"/></g><g class="subplot x4y4"><g class="layer-subplot"><g class="shapelayer"/><g class="imagelayer"/></g><g class="minor-gridlayer"><g class="x4"/><g class="y4"/></g><g class="gridlayer"><g class="x4"><path class="x4grid crisp" transform="translate(247.5,0)" d="M0,753.1456000000001v114.8544" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="x4grid crisp" transform="translate(382,0)" d="M0,753.1456000000001v114.8544" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="x4grid crisp" transform="translate(651,0)" d="M0,753.1456000000001v114.8544" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="x4grid crisp" transform="translate(785.5,0)" d="M0,753.1456000000001v114.8544" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/></g><g class="y4"/></g><g class="zerolinelayer"><path class="x4zl zl crisp" transform="translate(516.5,0)" d="M0,753.1456000000001v114.8544" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 2px;"/></g><path class="xlines-below"/><path class="ylines-below"/><g class="overlines-below"/><g class="xaxislayer-below"/><g class="yaxislayer-below"/><g class="overaxes-below"/><g class="plot" transform="translate(113,753.1456000000001)" clip-path="url(#clipc3d04ex4y4plot)"><g class="boxlayer mlayer"><g class="trace boxes" style="opacity: 1;"><path class="box" d="M402.19,85.57V29.29M370.08,85.57V29.29H436.39V85.57ZM370.08,57.43H273.82M436.39,57.43H535.73M273.82,71.5V43.36M535.73,71.5V43.36" style="vector-effect: non-scaling-stroke; stroke-width: 2px; stroke: rgb(227, 27, 76); stroke-opacity: 1; fill: rgb(227, 27, 76); fill-opacity: 0.5;"/><g class="points"><path class="point" transform="translate(85.34,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(146.36,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(179,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(189.85,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(204.74,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(212.09,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(221.1,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(224.84,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(226.08,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(226.7,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(229.34,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(238.74,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(240.76,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(242.95,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(243.96,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(244.23,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(244.78,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(246.03,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(247.32,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(247.79,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(248.28,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(251,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(252.41,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(255.12,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(257.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(259.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(260.36,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(260.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(261.72,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(263.26,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(265.1,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(265.65,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(266.91,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(267.1,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(268.66,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(268.96,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(269.52,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(537.03,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(537.43,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(537.51,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(537.59,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(537.71,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(537.83,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(538.49,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(538.64,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(539.24,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(539.69,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(539.8,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(541.96,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(542.25,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(542.31,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(542.59,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(542.74,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(544.72,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(544.86,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(544.88,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(545.64,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(546.23,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(546.53,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(546.62,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(546.71,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(546.81,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(547.5,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(547.66,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(550,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(550.21,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(551.07,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(551.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(551.61,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(551.97,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(552.06,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(556.01,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(556.11,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(557.38,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(558.48,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(559.32,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(559.43,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(559.9,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(561.01,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(564.54,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(565.07,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(565.39,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(565.45,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(566.69,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(566.97,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(568.38,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(569.39,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(570.29,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(574.41,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(576.05,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(577.31,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(577.57,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(578.64,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(580.87,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(580.95,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(581,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(582.52,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(583.15,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(585.24,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(588.43,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(594.2,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(599.09,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(599.27,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(602.87,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(603.51,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(605.63,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(608.03,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(609.75,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(611.46,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(614.18,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(615.17,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(621.08,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(626.76,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g></g></g></g><g class="overplot"/><path class="xlines-above crisp" d="" style="fill: none; stroke-width: 1px; stroke: rgb(0, 0, 0); stroke-opacity: 0;"/><path class="ylines-above crisp" d="M0,0" style="fill: none;"/><g class="overlines-above"/><g class="xaxislayer-above"><path class="x4tick ticks crisp" d="M0,868v-10" transform="translate(247.5,0)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="x4tick ticks crisp" d="M0,868v-10" transform="translate(382,0)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="x4tick ticks crisp" d="M0,868v-10" transform="translate(516.5,0)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="x4tick ticks crisp" d="M0,868v-10" transform="translate(651,0)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="x4tick ticks crisp" d="M0,868v-10" transform="translate(785.5,0)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><g class="x4tick"><text text-anchor="middle" x="0" y="899" transform="translate(113,0)" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;">−30</text></g><g class="x4tick"><text text-anchor="middle" x="0" y="899" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(247.5,0)">−20</text></g><g class="x4tick"><text text-anchor="middle" x="0" y="899" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(382,0)">−10</text></g><g class="x4tick"><text text-anchor="middle" x="0" y="899" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(516.5,0)">0</text></g><g class="x4tick"><text text-anchor="middle" x="0" y="899" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(651,0)">10</text></g><g class="x4tick"><text text-anchor="middle" x="0" y="899" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(785.5,0)">20</text></g><g class="x4tick"><text text-anchor="middle" x="0" y="899" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(920,0)">30</text></g></g><g class="yaxislayer-above"/><g class="overaxes-above"/></g></g><g class="polarlayer"/><g class="smithlayer"/><g class="ternarylayer"/><g class="geolayer"/><g class="funnelarealayer"/><g class="pielayer"/><g class="iciclelayer"/><g class="treemaplayer"/><g class="sunburstlayer"/><g class="glimages"/><defs id="topdefs-c3d04e"><g class="clips"/><clipPath id="legendc3d04e"><rect width="485" height="57" x="0" y="0"/></clipPath></defs><g class="layer-above"><g class="imagelayer"/><g class="shapelayer"><path data-index="0" fill-rule="evenodd" d="M113,868H920V100H113Z" style="opacity: 1; stroke: rgb(0, 0, 0); stroke-opacity: 1; fill: rgb(0, 0, 0); fill-opacity: 0; stroke-width: 1px;"/></g></g><g class="infolayer"><g class="legend" pointer-events="all" transform="translate(313.94999999999993,100)"><rect class="bg" shape-rendering="crispEdges" style="stroke: rgb(68, 68, 68); stroke-opacity: 1; fill: rgb(0, 0, 0); fill-opacity: 0; stroke-width: 0px;" width="485" height="57" x="0" y="0"/><g class="scrollbox" transform="" clip-path="url(#legendc3d04e)"><g class="groups"><g class="traces" transform="translate(0,28.275000000000002)" style="opacity: 1;"><text class="legendtext" text-anchor="start" x="40" y="13.065000000000001" style="font-family: Arial; font-size: 33.5px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre;">deepSTABp</text><g class="layers" style="opacity: 1;"><g class="legendfill"/><g class="legendlines"/><g class="legendsymbols"><g class="legendpoints"><path class="legendundefined" d="M6,6H-6V-6H6Z" transform="translate(20,0)" style="stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g></g></g><rect class="legendtoggle" x="0" y="-23.275000000000002" width="242.1" height="46.550000000000004" style="fill: rgb(0, 0, 0); fill-opacity: 0;"/></g><g class="traces" transform="translate(242.1,28.275000000000002)" style="opacity: 1;"><text class="legendtext" text-anchor="start" x="40" y="13.065000000000001" style="font-family: Arial; font-size: 33.5px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre;">ProTstab2</text><g class="layers" style="opacity: 1;"><g class="legendfill"/><g class="legendlines"/><g class="legendsymbols"><g class="legendpoints"><path class="legendundefined" d="M6,6H-6V-6H6Z" transform="translate(20,0)" style="stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g></g></g><rect class="legendtoggle" x="0" y="-23.275000000000002" width="242.1" height="46.550000000000004" style="fill: rgb(0, 0, 0); fill-opacity: 0;"/></g></g></g><rect class="scrollbar" rx="20" ry="3" width="0" height="0" style="fill: rgb(128, 139, 164); fill-opacity: 1;" x="0" y="0"/></g><g class="g-gtitle"/><g class="g-xtitle" transform="translate(0,-38.55610000000024)"><text class="xtitle" x="516.5" y="987.9936000000001" text-anchor="middle" style="font-family: Arial; font-size: 33.5px; fill: rgb(0, 0, 0); opacity: 1; font-weight: normal; white-space: pre;"><tspan class="line" dy="0em" x="516.5" y="987.9936000000001"><tspan style="font-weight:bold">difference between predicted and experimentally </tspan></tspan><tspan class="line" dy="1.3em" x="516.5" y="987.9936000000001"><tspan style="font-weight:bold"> determined  melting temperature (°C)<tspan style="font-weight:bold"></tspan></tspan></tspan></text></g><g class="g-x2title"/><g class="g-x3title"/><g class="g-x4title"/><g class="g-ytitle" transform="translate(21.275390625,0)"><text class="ytitle" transform="rotate(-90,11.737499999999997,233.9968000000001)" x="11.737499999999997" y="233.9968000000001" text-anchor="middle" style="font-family: Arial; font-size: 36px; fill: rgb(0, 0, 0); opacity: 1; font-weight: normal; white-space: pre;"><tspan style="font-weight:bold">number of proteins<tspan style="font-weight:bold"></tspan></tspan></text></g><g class="g-y2title"/><g class="g-y3title" transform="translate(21.2685546875,0)"><text class="y3title" transform="rotate(-90,11.737499999999997,618.3808)" x="11.737499999999997" y="618.3808" text-anchor="middle" style="font-family: Arial; font-size: 36px; fill: rgb(0, 0, 0); opacity: 1; font-weight: normal; white-space: pre;"><tspan style="font-weight:bold">number of proteins<tspan style="font-weight:bold"></tspan></tspan></text></g><g class="g-y4title"/></g></svg>
\ No newline at end of file
+<svg class="main-svg" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink" width="1000" height="1000" style="" viewBox="0 0 1000 1000"><rect x="0" y="0" width="1000" height="1000" style="fill: rgb(0, 0, 0); fill-opacity: 0;"/><defs id="defs-72c844"><g class="clips"><clipPath id="clip72c844xyplot" class="plotclip"><rect width="807" height="267.9936"/></clipPath><clipPath id="clip72c844x2y2plot" class="plotclip"><rect width="807" height="114.85439999999997"/></clipPath><clipPath id="clip72c844x3y3plot" class="plotclip"><rect width="807" height="267.9936"/></clipPath><clipPath id="clip72c844x4y4plot" class="plotclip"><rect width="807" height="114.8544"/></clipPath><clipPath class="axesclip" id="clip72c844x"><rect x="113" y="0" width="807" height="1000"/></clipPath><clipPath class="axesclip" id="clip72c844y"><rect x="0" y="100.00000000000009" width="1000" height="267.9936"/></clipPath><clipPath class="axesclip" id="clip72c844xy"><rect x="113" y="100.00000000000009" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clip72c844y2"><rect x="0" y="368.76160000000004" width="1000" height="114.85439999999997"/></clipPath><clipPath class="axesclip" id="clip72c844xy2"><rect x="113" y="368.76160000000004" width="807" height="114.85439999999997"/></clipPath><clipPath class="axesclip" id="clip72c844y3"><rect x="0" y="484.384" width="1000" height="267.9936"/></clipPath><clipPath class="axesclip" id="clip72c844xy3"><rect x="113" y="484.384" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clip72c844y4"><rect x="0" y="753.1456000000001" width="1000" height="114.8544"/></clipPath><clipPath class="axesclip" id="clip72c844xy4"><rect x="113" y="753.1456000000001" width="807" height="114.8544"/></clipPath><clipPath class="axesclip" id="clip72c844x2"><rect x="113" y="0" width="807" height="1000"/></clipPath><clipPath class="axesclip" id="clip72c844x2y"><rect x="113" y="100.00000000000009" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clip72c844x2y2"><rect x="113" y="368.76160000000004" width="807" height="114.85439999999997"/></clipPath><clipPath class="axesclip" id="clip72c844x2y3"><rect x="113" y="484.384" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clip72c844x2y4"><rect x="113" y="753.1456000000001" width="807" height="114.8544"/></clipPath><clipPath class="axesclip" id="clip72c844x3"><rect x="113" y="0" width="807" height="1000"/></clipPath><clipPath class="axesclip" id="clip72c844x3y"><rect x="113" y="100.00000000000009" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clip72c844x3y2"><rect x="113" y="368.76160000000004" width="807" height="114.85439999999997"/></clipPath><clipPath class="axesclip" id="clip72c844x3y3"><rect x="113" y="484.384" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clip72c844x3y4"><rect x="113" y="753.1456000000001" width="807" height="114.8544"/></clipPath><clipPath class="axesclip" id="clip72c844x4"><rect x="113" y="0" width="807" height="1000"/></clipPath><clipPath class="axesclip" id="clip72c844x4y"><rect x="113" y="100.00000000000009" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clip72c844x4y2"><rect x="113" y="368.76160000000004" width="807" height="114.85439999999997"/></clipPath><clipPath class="axesclip" id="clip72c844x4y3"><rect x="113" y="484.384" width="807" height="267.9936"/></clipPath><clipPath class="axesclip" id="clip72c844x4y4"><rect x="113" y="753.1456000000001" width="807" height="114.8544"/></clipPath></g><g class="gradients"/><g class="patterns"/></defs><g class="bglayer"><rect class="bg" x="113" y="100.00000000000009" width="807" height="267.9936" style="fill: rgb(0, 0, 0); fill-opacity: 0; stroke-width: 0;"/><rect class="bg" x="113" y="368.76160000000004" width="807" height="114.85439999999997" style="fill: rgb(0, 0, 0); fill-opacity: 0; stroke-width: 0;"/><rect class="bg" x="113" y="484.384" width="807" height="267.9936" style="fill: rgb(0, 0, 0); fill-opacity: 0; stroke-width: 0;"/><rect class="bg" x="113" y="753.1456000000001" width="807" height="114.8544" style="fill: rgb(0, 0, 0); fill-opacity: 0; stroke-width: 0;"/></g><g class="layer-below"><g class="imagelayer"/><g class="shapelayer"/></g><g class="cartesianlayer"><g class="subplot xy"><g class="layer-subplot"><g class="shapelayer"/><g class="imagelayer"/></g><g class="minor-gridlayer"><g class="x"/><g class="y"/></g><g class="gridlayer"><g class="x"/><g class="y"><path class="ygrid crisp" transform="translate(0,329.7100000000001)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="ygrid crisp" transform="translate(0,291.4200000000001)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="ygrid crisp" transform="translate(0,253.14000000000007)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="ygrid crisp" transform="translate(0,214.85000000000008)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="ygrid crisp" transform="translate(0,176.57000000000008)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="ygrid crisp" transform="translate(0,138.2800000000001)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/></g></g><g class="zerolinelayer"><path class="yzl zl crisp" transform="translate(0,367.9900000000001)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 2px;"/></g><path class="xlines-below"/><path class="ylines-below"/><g class="overlines-below"/><g class="xaxislayer-below"/><g class="yaxislayer-below"/><g class="overaxes-below"/><g class="plot" transform="translate(113,100.00000000000009)" clip-path="url(#clip72c844xyplot)"><g class="barlayer mlayer"><g class="trace bars" shape-rendering="crispEdges" style="opacity: 1;"><g class="points"><g class="point"><path d="M-13.45,267.99V267.23H0V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M40.35,267.99V267.23H53.8V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M80.7,267.99V267.23H94.15V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M121.05,267.99V267.23H134.5V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M134.5,267.99V264.93H147.95V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M147.95,267.99V265.7H161.4V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M161.4,267.99V264.17H174.85V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M174.85,267.99V261.1H188.3V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M188.3,267.99V261.1H201.75V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M201.75,267.99V253.45H215.2V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M215.2,267.99V252.68H228.65V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M228.65,267.99V253.45H242.1V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M242.1,267.99V242.73H255.55V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M255.55,267.99V222.82H269V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M269,267.99V215.16H282.45V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M282.45,267.99V200.61H295.9V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M295.9,267.99V191.42H309.35V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M309.35,267.99V185.3H322.8V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M322.8,267.99V155.44H336.25V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M336.25,267.99V159.26H349.7V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M349.7,267.99V130.93H363.15V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M363.15,267.99V122.51H376.6V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M376.6,267.99V137.06H390.05V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M390.05,267.99V116.39H403.5V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M403.5,267.99V98.01H416.95V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M416.95,267.99V118.68H430.4V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M430.4,267.99V131.7H443.85V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M443.85,267.99V143.19H457.3V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M457.3,267.99V173.81H470.75V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M470.75,267.99V202.14H484.2V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M484.2,267.99V204.44H497.65V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M497.65,267.99V224.35H511.1V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M511.1,267.99V220.52H524.55V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M524.55,267.99V226.65H538V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M538,267.99V245.79H551.45V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M551.45,267.99V251.15H564.9V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M564.9,267.99V255.74H578.35V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M578.35,267.99V257.27H591.8V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M591.8,267.99V258.04H605.25V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M605.25,267.99V261.1H618.7V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M618.7,267.99V264.17H632.15V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M632.15,267.99V263.4H645.6V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M645.6,267.99V264.93H659.05V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M659.05,267.99V266.46H672.5V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M672.5,267.99V266.46H685.95V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M685.95,267.99V267.23H699.4V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M699.4,267.99V267.23H712.85V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M712.85,267.99V264.93H726.3V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M726.3,267.99V266.46H739.75V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M739.75,267.99V266.46H753.2V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M753.2,267.99V267.23H766.65V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M807,267.99V267.23H820.45V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g><g class="point"><path d="M860.8,267.99V267.23H874.25V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g></g></g></g></g><g class="overplot"/><path class="xlines-above crisp" d="M0,0" style="fill: none;"/><path class="ylines-above crisp" d="" style="fill: none; stroke-width: 1px; stroke: rgb(0, 0, 0); stroke-opacity: 0;"/><g class="overlines-above"/><g class="xaxislayer-above"/><g class="yaxislayer-above"><path class="ytick ticks crisp" d="M113,0h10" transform="translate(0,329.7100000000001)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="ytick ticks crisp" d="M113,0h10" transform="translate(0,291.4200000000001)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="ytick ticks crisp" d="M113,0h10" transform="translate(0,253.14000000000007)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="ytick ticks crisp" d="M113,0h10" transform="translate(0,214.85000000000008)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="ytick ticks crisp" d="M113,0h10" transform="translate(0,176.57000000000008)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="ytick ticks crisp" d="M113,0h10" transform="translate(0,138.2800000000001)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><g class="ytick"><text text-anchor="end" x="112" y="10.5" transform="translate(0,367.9900000000001)" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;">0</text></g><g class="ytick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,329.7100000000001)">50</text></g><g class="ytick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,291.4200000000001)">100</text></g><g class="ytick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,253.14000000000007)">150</text></g><g class="ytick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,214.85000000000008)">200</text></g><g class="ytick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,176.57000000000008)">250</text></g><g class="ytick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,138.2800000000001)">300</text></g><g class="ytick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,100.00000000000009)">350</text></g></g><g class="overaxes-above"/></g><g class="subplot x2y2"><g class="layer-subplot"><g class="shapelayer"/><g class="imagelayer"/></g><g class="minor-gridlayer"><g class="x2"/><g class="y2"/></g><g class="gridlayer"><g class="x2"><path class="x2grid crisp" transform="translate(247.5,0)" d="M0,368.76160000000004v114.85439999999997" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="x2grid crisp" transform="translate(382,0)" d="M0,368.76160000000004v114.85439999999997" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="x2grid crisp" transform="translate(651,0)" d="M0,368.76160000000004v114.85439999999997" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="x2grid crisp" transform="translate(785.5,0)" d="M0,368.76160000000004v114.85439999999997" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/></g><g class="y2"/></g><g class="zerolinelayer"><path class="x2zl zl crisp" transform="translate(516.5,0)" d="M0,368.76160000000004v114.85439999999997" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 2px;"/></g><path class="xlines-below"/><path class="ylines-below"/><g class="overlines-below"/><g class="xaxislayer-below"/><g class="yaxislayer-below"/><g class="overaxes-below"/><g class="plot" transform="translate(113,368.76160000000004)" clip-path="url(#clip72c844x2y2plot)"><g class="boxlayer mlayer"><g class="trace boxes" style="opacity: 1;"><path class="box" d="M395.45,85.57V29.29M338.84,85.57V29.29H446.66V85.57ZM338.84,57.43H178.12M446.66,57.43H608.09M178.12,71.5V43.36M608.09,71.5V43.36" style="vector-effect: non-scaling-stroke; stroke-width: 2px; stroke: rgb(80, 114, 137); stroke-opacity: 1; fill: rgb(80, 114, 137); fill-opacity: 0.5;"/><g class="points"><path class="point" transform="translate(-5.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(48.25,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(82.43,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(123.09,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(137.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(137.96,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(139.33,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(140.71,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(151.29,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(153.79,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(158.7,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(164.71,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(166.65,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(167.81,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(171.09,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(171.09,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(176.59,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(608.86,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(611.46,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(614.76,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(617.25,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(620.08,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(623.31,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(628.05,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(630.83,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(630.83,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(635.52,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(642.34,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(642.34,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(644.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(644.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(644.45,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(647.13,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(649.78,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(651.64,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(652.53,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(665.27,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(668.82,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(672.73,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(677.8,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(689.99,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(705.03,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(714.36,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(714.36,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(715.14,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(722.18,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(730.18,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(730.18,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(744.25,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(752.27,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(760.93,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(815.23,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/><path class="point" transform="translate(864.44,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g></g></g></g><g class="overplot"/><path class="xlines-above crisp" d="M0,0" style="fill: none;"/><path class="ylines-above crisp" d="M0,0" style="fill: none;"/><g class="overlines-above"/><g class="xaxislayer-above"/><g class="yaxislayer-above"/><g class="overaxes-above"/></g><g class="subplot x3y3"><g class="layer-subplot"><g class="shapelayer"/><g class="imagelayer"/></g><g class="minor-gridlayer"><g class="x3"/><g class="y3"/></g><g class="gridlayer"><g class="x3"/><g class="y3"><path class="y3grid crisp" transform="translate(0,714.094)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3grid crisp" transform="translate(0,675.804)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3grid crisp" transform="translate(0,637.524)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3grid crisp" transform="translate(0,599.234)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3grid crisp" transform="translate(0,560.954)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3grid crisp" transform="translate(0,522.664)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/></g></g><g class="zerolinelayer"><path class="y3zl zl crisp" transform="translate(0,752.374)" d="M113,0h807" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 2px;"/></g><path class="xlines-below"/><path class="ylines-below"/><g class="overlines-below"/><g class="xaxislayer-below"/><g class="yaxislayer-below"/><g class="overaxes-below"/><g class="plot" transform="translate(113,484.384)" clip-path="url(#clip72c844x3y3plot)"><g class="barlayer mlayer"><g class="trace bars" shape-rendering="crispEdges" style="opacity: 1;"><g class="points"><g class="point"><path d="M80.7,267.99V267.23H94.15V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M134.5,267.99V267.23H147.95V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M0,0Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M174.85,267.99V267.23H188.3V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M188.3,267.99V267.23H201.75V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M201.75,267.99V266.46H215.2V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M215.2,267.99V264.93H228.65V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M228.65,267.99V265.7H242.1V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M242.1,267.99V259.57H255.55V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M255.55,267.99V258.81H269V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M269,267.99V263.4H282.45V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M282.45,267.99V241.96H295.9V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M295.9,267.99V241.96H309.35V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M309.35,267.99V216.69H322.8V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M322.8,267.99V187.6H336.25V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M336.25,267.99V182.24H349.7V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M349.7,267.99V105.67H363.15V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M363.15,267.99V66.62H376.6V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M376.6,267.99V19.91H390.05V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M390.05,267.99V35.99H403.5V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M403.5,267.99V16.08H416.95V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M416.95,267.99V62.02H430.4V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M430.4,267.99V94.95H443.85V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M443.85,267.99V137.83H457.3V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M457.3,267.99V179.94H470.75V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M470.75,267.99V205.21H484.2V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M484.2,267.99V222.82H497.65V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M497.65,267.99V228.94H511.1V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M511.1,267.99V237.37H524.55V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M524.55,267.99V247.32H538V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M538,267.99V248.85H551.45V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M551.45,267.99V258.81H564.9V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M564.9,267.99V258.81H578.35V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M578.35,267.99V261.87H591.8V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M591.8,267.99V264.17H605.25V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M605.25,267.99V263.4H618.7V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g><g class="point"><path d="M618.7,267.99V266.46H632.15V267.99Z" style="vector-effect: non-scaling-stroke; opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g></g></g></g></g><g class="overplot"/><path class="xlines-above crisp" d="M0,0" style="fill: none;"/><path class="ylines-above crisp" d="" style="fill: none; stroke-width: 1px; stroke: rgb(0, 0, 0); stroke-opacity: 0;"/><g class="overlines-above"/><g class="xaxislayer-above"/><g class="yaxislayer-above"><path class="y3tick ticks crisp" d="M113,0h10" transform="translate(0,714.094)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3tick ticks crisp" d="M113,0h10" transform="translate(0,675.804)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3tick ticks crisp" d="M113,0h10" transform="translate(0,637.524)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3tick ticks crisp" d="M113,0h10" transform="translate(0,599.234)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3tick ticks crisp" d="M113,0h10" transform="translate(0,560.954)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="y3tick ticks crisp" d="M113,0h10" transform="translate(0,522.664)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><g class="y3tick"><text text-anchor="end" x="112" y="10.5" transform="translate(0,752.374)" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;">0</text></g><g class="y3tick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,714.094)">50</text></g><g class="y3tick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,675.804)">100</text></g><g class="y3tick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,637.524)">150</text></g><g class="y3tick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,599.234)">200</text></g><g class="y3tick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,560.954)">250</text></g><g class="y3tick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,522.664)">300</text></g><g class="y3tick"><text text-anchor="end" x="112" y="10.5" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(0,484.384)">350</text></g></g><g class="overaxes-above"/></g><g class="subplot x4y4"><g class="layer-subplot"><g class="shapelayer"/><g class="imagelayer"/></g><g class="minor-gridlayer"><g class="x4"/><g class="y4"/></g><g class="gridlayer"><g class="x4"><path class="x4grid crisp" transform="translate(247.5,0)" d="M0,753.1456000000001v114.8544" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="x4grid crisp" transform="translate(382,0)" d="M0,753.1456000000001v114.8544" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="x4grid crisp" transform="translate(651,0)" d="M0,753.1456000000001v114.8544" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/><path class="x4grid crisp" transform="translate(785.5,0)" d="M0,753.1456000000001v114.8544" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 1px;"/></g><g class="y4"/></g><g class="zerolinelayer"><path class="x4zl zl crisp" transform="translate(516.5,0)" d="M0,753.1456000000001v114.8544" style="stroke: rgb(255, 255, 255); stroke-opacity: 1; stroke-width: 2px;"/></g><path class="xlines-below"/><path class="ylines-below"/><g class="overlines-below"/><g class="xaxislayer-below"/><g class="yaxislayer-below"/><g class="overaxes-below"/><g class="plot" transform="translate(113,753.1456000000001)" clip-path="url(#clip72c844x4y4plot)"><g class="boxlayer mlayer"><g class="trace boxes" style="opacity: 1;"><path class="box" d="M402.19,85.57V29.29M370.08,85.57V29.29H436.39V85.57ZM370.08,57.43H273.82M436.39,57.43H535.73M273.82,71.5V43.36M535.73,71.5V43.36" style="vector-effect: non-scaling-stroke; stroke-width: 2px; stroke: rgb(227, 27, 76); stroke-opacity: 1; fill: rgb(227, 27, 76); fill-opacity: 0.5;"/><g class="points"><path class="point" transform="translate(85.34,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(146.36,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(179,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(189.85,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(204.74,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(212.09,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(221.1,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(224.84,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(226.08,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(226.7,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(229.34,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(238.74,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(240.76,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(242.95,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(243.96,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(244.23,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(244.78,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(246.03,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(247.32,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(247.79,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(248.28,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(251,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(252.41,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(255.12,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(257.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(259.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(260.36,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(260.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(261.72,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(263.26,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(265.1,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(265.65,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(266.91,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(267.1,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(268.66,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(268.96,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(269.52,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(537.03,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(537.43,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(537.51,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(537.59,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(537.71,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(537.83,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(538.49,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(538.64,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(539.24,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(539.69,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(539.8,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(541.96,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(542.25,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(542.31,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(542.59,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(542.74,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(544.72,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(544.86,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(544.88,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(545.64,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(546.23,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(546.53,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(546.62,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(546.71,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(546.81,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(547.5,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(547.66,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(550,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(550.21,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(551.07,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(551.4,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(551.61,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(551.97,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(552.06,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(556.01,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(556.11,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(557.38,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(558.48,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(559.32,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(559.43,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(559.9,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(561.01,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(564.54,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(565.07,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(565.39,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(565.45,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(566.69,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(566.97,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(568.38,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(569.39,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(570.29,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(574.41,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(576.05,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(577.31,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(577.57,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(578.64,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(580.87,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(580.95,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(581,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(582.52,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(583.15,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(585.24,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(588.43,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(594.2,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(599.09,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(599.27,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(602.87,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(603.51,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(605.63,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(608.03,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(609.75,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(611.46,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(614.18,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(615.17,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(621.08,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/><path class="point" transform="translate(626.76,57.43)" d="M3,0A3,3 0 1,1 0,-3A3,3 0 0,1 3,0Z" style="opacity: 1; stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g></g></g></g><g class="overplot"/><path class="xlines-above crisp" d="" style="fill: none; stroke-width: 1px; stroke: rgb(0, 0, 0); stroke-opacity: 0;"/><path class="ylines-above crisp" d="M0,0" style="fill: none;"/><g class="overlines-above"/><g class="xaxislayer-above"><path class="x4tick ticks crisp" d="M0,868v-10" transform="translate(247.5,0)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="x4tick ticks crisp" d="M0,868v-10" transform="translate(382,0)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="x4tick ticks crisp" d="M0,868v-10" transform="translate(516.5,0)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="x4tick ticks crisp" d="M0,868v-10" transform="translate(651,0)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><path class="x4tick ticks crisp" d="M0,868v-10" transform="translate(785.5,0)" style="stroke: rgb(0, 0, 0); stroke-opacity: 1; stroke-width: 1px;"/><g class="x4tick"><text text-anchor="middle" x="0" y="899" transform="translate(113,0)" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;">−30</text></g><g class="x4tick"><text text-anchor="middle" x="0" y="899" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(247.5,0)">−20</text></g><g class="x4tick"><text text-anchor="middle" x="0" y="899" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(382,0)">−10</text></g><g class="x4tick"><text text-anchor="middle" x="0" y="899" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(516.5,0)">0</text></g><g class="x4tick"><text text-anchor="middle" x="0" y="899" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(651,0)">10</text></g><g class="x4tick"><text text-anchor="middle" x="0" y="899" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(785.5,0)">20</text></g><g class="x4tick"><text text-anchor="middle" x="0" y="899" style="font-family: Arial; font-size: 30px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre; opacity: 1;" transform="translate(920,0)">30</text></g></g><g class="yaxislayer-above"/><g class="overaxes-above"/></g></g><g class="polarlayer"/><g class="smithlayer"/><g class="ternarylayer"/><g class="geolayer"/><g class="funnelarealayer"/><g class="pielayer"/><g class="iciclelayer"/><g class="treemaplayer"/><g class="sunburstlayer"/><g class="glimages"/><defs id="topdefs-72c844"><g class="clips"/><clipPath id="legend72c844"><rect width="485" height="57" x="0" y="0"/></clipPath></defs><g class="layer-above"><g class="imagelayer"/><g class="shapelayer"><path data-index="0" fill-rule="evenodd" d="M113,868H920V100H113Z" style="opacity: 1; stroke: rgb(0, 0, 0); stroke-opacity: 1; fill: rgb(0, 0, 0); fill-opacity: 0; stroke-width: 1px;"/></g></g><g class="infolayer"><g class="legend" pointer-events="all" transform="translate(313.94999999999993,100)"><rect class="bg" shape-rendering="crispEdges" style="stroke: rgb(68, 68, 68); stroke-opacity: 1; fill: rgb(0, 0, 0); fill-opacity: 0; stroke-width: 0px;" width="485" height="57" x="0" y="0"/><g class="scrollbox" transform="" clip-path="url(#legend72c844)"><g class="groups"><g class="traces" transform="translate(0,28.275000000000002)" style="opacity: 1;"><text class="legendtext" text-anchor="start" x="40" y="13.065000000000001" style="font-family: Arial; font-size: 33.5px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre;">deepSTABp</text><g class="layers" style="opacity: 1;"><g class="legendfill"/><g class="legendlines"/><g class="legendsymbols"><g class="legendpoints"><path class="legendundefined" d="M6,6H-6V-6H6Z" transform="translate(20,0)" style="stroke-width: 0px; fill: rgb(227, 27, 76); fill-opacity: 1;"/></g></g></g><rect class="legendtoggle" x="0" y="-23.275000000000002" width="242.1" height="46.550000000000004" style="fill: rgb(0, 0, 0); fill-opacity: 0;"/></g><g class="traces" transform="translate(242.1,28.275000000000002)" style="opacity: 1;"><text class="legendtext" text-anchor="start" x="40" y="13.065000000000001" style="font-family: Arial; font-size: 33.5px; fill: rgb(0, 0, 0); fill-opacity: 1; white-space: pre;">ProTstab2</text><g class="layers" style="opacity: 1;"><g class="legendfill"/><g class="legendlines"/><g class="legendsymbols"><g class="legendpoints"><path class="legendundefined" d="M6,6H-6V-6H6Z" transform="translate(20,0)" style="stroke-width: 0px; fill: rgb(80, 114, 137); fill-opacity: 1;"/></g></g></g><rect class="legendtoggle" x="0" y="-23.275000000000002" width="242.1" height="46.550000000000004" style="fill: rgb(0, 0, 0); fill-opacity: 0;"/></g></g></g><rect class="scrollbar" rx="20" ry="3" width="0" height="0" style="fill: rgb(128, 139, 164); fill-opacity: 1;" x="0" y="0"/></g><g class="g-gtitle"/><g class="g-xtitle" transform="translate(0,-38.55610000000024)"><text class="xtitle" x="516.5" y="987.9936000000001" text-anchor="middle" style="font-family: Arial; font-size: 33.5px; fill: rgb(0, 0, 0); opacity: 1; font-weight: normal; white-space: pre;"><tspan class="line" dy="0em" x="516.5" y="987.9936000000001"><tspan style="font-weight:bold">difference between predicted and experimentally </tspan></tspan><tspan class="line" dy="1.3em" x="516.5" y="987.9936000000001"><tspan style="font-weight:bold"> determined  melting temperature (°C)<tspan style="font-weight:bold"></tspan></tspan></tspan></text></g><g class="g-x2title"/><g class="g-x3title"/><g class="g-x4title"/><g class="g-ytitle" transform="translate(21.275390625,0)"><text class="ytitle" transform="rotate(-90,11.737499999999997,233.9968000000001)" x="11.737499999999997" y="233.9968000000001" text-anchor="middle" style="font-family: Arial; font-size: 36px; fill: rgb(0, 0, 0); opacity: 1; font-weight: normal; white-space: pre;"><tspan style="font-weight:bold">number of proteins<tspan style="font-weight:bold"></tspan></tspan></text></g><g class="g-y2title"/><g class="g-y3title" transform="translate(21.2685546875,0)"><text class="y3title" transform="rotate(-90,11.737499999999997,618.3808)" x="11.737499999999997" y="618.3808" text-anchor="middle" style="font-family: Arial; font-size: 36px; fill: rgb(0, 0, 0); opacity: 1; font-weight: normal; white-space: pre;"><tspan style="font-weight:bold">number of proteins<tspan style="font-weight:bold"></tspan></tspan></text></g><g class="g-y4title"/></g></svg>
\ No newline at end of file
diff --git a/runs/lightning_logs/version_8/events.out.tfevents.1679503582.Felix.28540.0 b/runs/lightning_logs/version_8/events.out.tfevents.1679503582.Felix.28540.0
new file mode 100644
index 0000000000000000000000000000000000000000..cf0f84f582d539a0783a640d8dfb29f2714fa70b
Binary files /dev/null and b/runs/lightning_logs/version_8/events.out.tfevents.1679503582.Felix.28540.0 differ
diff --git a/runs/lightning_logs/version_8/hparams.yaml b/runs/lightning_logs/version_8/hparams.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..6577c3f1ed3f5d210ea3ffcebd5d189c603353cc
--- /dev/null
+++ b/runs/lightning_logs/version_8/hparams.yaml
@@ -0,0 +1,3 @@
+batch_size: 25
+dropout: 0.2
+learning_rate: 0.01
diff --git a/runs/lightning_logs/version_9/events.out.tfevents.1679503618.Felix.42924.0 b/runs/lightning_logs/version_9/events.out.tfevents.1679503618.Felix.42924.0
new file mode 100644
index 0000000000000000000000000000000000000000..c458328198cc502d4e5abcfe72cc358cf278da51
Binary files /dev/null and b/runs/lightning_logs/version_9/events.out.tfevents.1679503618.Felix.42924.0 differ
diff --git a/runs/lightning_logs/version_9/hparams.yaml b/runs/lightning_logs/version_9/hparams.yaml
new file mode 100644
index 0000000000000000000000000000000000000000..10f4c1b6c976a7fdf52a97a81b1fbeabc67570d7
--- /dev/null
+++ b/runs/lightning_logs/version_9/hparams.yaml
@@ -0,0 +1,3 @@
+batch_size: 25
+dropout: 0.1
+learning_rate: 0.01
diff --git a/workflows/TransformerBasedTMPrediction/MLP_prediction/predict_growth_human_pct.py b/workflows/TransformerBasedTMPrediction/MLP_prediction/predict_growth_human_pct.py
index 3b827da15c81202a09c5057a91a715ff15a6fbcc..729385995408ea922ccfc187a765e2288c2a0308 100644
--- a/workflows/TransformerBasedTMPrediction/MLP_prediction/predict_growth_human_pct.py
+++ b/workflows/TransformerBasedTMPrediction/MLP_prediction/predict_growth_human_pct.py
@@ -56,62 +56,55 @@ class LSMTNeuralNet (pl.LightningModule):
     #initialisation of parameters and layers
     def __init__(self, dropout, learning_rate, batch_size):
         super().__init__()
-        self.save_hyperparameters()
-        #parameters for the folliwing functions
+                #parameters for the folliwing functions
         self.learning_rate = learning_rate
         self.batch_size = batch_size
         self.dropout =dropout
-        
         #layer of the neureal network
-        self.zero_layer = nn.Linear (1044, 4098)
+        self.zero_layer = nn.Linear (1064, 4098)
         self.zero_dropout = nn.Dropout1d (dropout)
         self.first_layer = nn.Linear (4098, 512)
         self.first_dropout = nn.Dropout1d (dropout)
         self.second_layer = nn.Linear (512, 256)
         self.second_dropout = nn.Dropout1d (dropout)
-        
         self.third_layer = nn.Linear (256, 128)
         self.third_dropout = nn.Dropout1d (dropout)
-        
-        
         self.seventh_layer = nn.Linear (128, 1)
-        
         self.species_layer_one = nn.Linear (1, 20)
-        self.species_layer_two = nn.Linear (20, 1)
+        self.species_layer_two = nn.Linear (20, 20)
         self.species_dropout = nn.Dropout1d(dropout)
-        self.output = nn.Linear (2,1)
         self.batch_norm0 = nn.LayerNorm (4098)
         self.batch_norm1 = nn.LayerNorm (512)
         self.batch_norm2 = nn.LayerNorm (256)
         self.batch_norm3 = nn.LayerNorm (128)
-
-        self.lysate = nn.Linear (1, 10)
+        self.lysate = nn.Linear (1, 20)
+        self.lysate2 = nn.Linear (20, 10)
         self.lysate_dropout = nn.Dropout1d(dropout)
-        self.cell = nn.Linear (1, 10)
+        self.cell = nn.Linear (1, 20)
+        self.cell2 = nn.Linear (20, 10)
         self.cell_dropout = nn.Dropout1d(dropout)
-        
 
     #forward pass through the neural network    
     def forward (self, x, species_feature,lysate, cell):
-        x = x.float()
+        x = x.reshape (1,-1 ).float()
+        species_feature = torch.tensor (species_feature, dtype=torch.float32)
+        lysate = torch.tensor (lysate, dtype=torch.float32)
+        cell = torch.tensor (cell, dtype=torch.float32)
         lysate = lysate.reshape (-1, 1)
         lysate = self.lysate_dropout(F.selu(self.lysate (lysate)))
+        lysate = self.lysate_dropout(F.selu(self.lysate2 (lysate)))
         cell = cell.reshape (-1, 1)
         cell = self.cell_dropout(F.selu(self.cell (cell)))
-        x = torch.cat ([lysate, cell,x], dim=1)
+        cell = self.cell_dropout(F.selu(self.cell2 (cell)))
+        species_feature = species_feature.reshape (-1, 1)
+        species_feature = self.species_dropout(F.selu(self.species_layer_one (species_feature)))
+        species_feature = self.species_dropout(F.selu(self.species_layer_two (species_feature)))
+        x = torch.cat ([lysate, cell,x,species_feature], dim=1)
         x = self.zero_dropout (self.batch_norm0 (F.selu(self.zero_layer(x))))
         x = self.first_dropout(self.batch_norm1(F.selu(self.first_layer (x))))
         x = self.second_dropout(self.batch_norm2(F.selu(self.second_layer (x))))
         x = self.third_dropout(self.batch_norm3(F.selu(self.third_layer (x))))
-        tm_est = self.seventh_layer (x)
-        
-        species_feature = species_feature.reshape (-1, 1)
-        species_feature = self.species_dropout(F.selu(self.species_layer_one (species_feature)))
-        species_feature = self.species_layer_two (species_feature)
-        
-        combined = torch.cat ([tm_est, species_feature], dim=1)
-        
-        tm = self.output (combined)
+        tm = self.seventh_layer (x)
         return tm
 
     def configure_optimizers(self):
@@ -156,14 +149,14 @@ if __name__ == '__main__':
     batch_size = 100
     num_epochs = 100
     learningrate = 0.01
-   
+
     testing =  CustomDataset_training(filepath_testing)
-    lstm_net =  LSMTNeuralNet.load_from_checkpoint (str(fn)+'/runs/TransformerBasedTMPrediction/trained_models/trained_model_human_ptc/checkpoints/epoch=99-step=29000.ckpt')
-    trainer = Trainer (accelerator='gpu', devices=1,auto_lr_find=False ,max_epochs=num_epochs, fast_dev_run=False)
+    lstm_net =  LSMTNeuralNet.load_from_checkpoint (str(fn)+'/runs/lightning_logs/b25_sampled_10k_tuned_2_d01/checkpoints/epoch=1-step=2316.ckpt')
+    trainer = Trainer (default_root_dir=str(fn)+'/runs/lightning_logs/',accelerator='gpu', devices=1,auto_lr_find=False ,max_epochs=num_epochs, fast_dev_run=False)
     data1= trainer.predict (lstm_net)
     output_df = generate_output_dataframe (data1)
     display (output_df)
-    output_df.to_csv(str(fn)+"/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred.csv", index=False)
+    output_df.to_csv(str(fn)+"/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Full_dataset/full_dataset_pred.csv", index=False)
     print ('Done')
 
         
diff --git a/workflows/TransformerBasedTMPrediction/MLP_prediction/tpredit_growth_new_architecture.py b/workflows/TransformerBasedTMPrediction/MLP_prediction/tpredit_growth_new_architecture.py
index 71c17c5bfaf70fd090f385105de052fce4a7695f..a2b48a50f8839fe99366143b128cf7f2a101de18 100644
--- a/workflows/TransformerBasedTMPrediction/MLP_prediction/tpredit_growth_new_architecture.py
+++ b/workflows/TransformerBasedTMPrediction/MLP_prediction/tpredit_growth_new_architecture.py
@@ -57,11 +57,10 @@ class LSMTNeuralNet (pl.LightningModule):
     #initialisation of parameters and layers
     def __init__(self, dropout, learning_rate, batch_size):
         super().__init__()
-        #parameters for the folliwing functions
+                #parameters for the folliwing functions
         self.learning_rate = learning_rate
         self.batch_size = batch_size
         self.dropout =dropout
-        
         #layer of the neureal network
         self.zero_layer = nn.Linear (1064, 4098)
         self.zero_dropout = nn.Dropout1d (dropout)
@@ -69,34 +68,29 @@ class LSMTNeuralNet (pl.LightningModule):
         self.first_dropout = nn.Dropout1d (dropout)
         self.second_layer = nn.Linear (512, 256)
         self.second_dropout = nn.Dropout1d (dropout)
-        
         self.third_layer = nn.Linear (256, 128)
         self.third_dropout = nn.Dropout1d (dropout)
-        
-        
         self.seventh_layer = nn.Linear (128, 1)
-        
         self.species_layer_one = nn.Linear (1, 20)
         self.species_layer_two = nn.Linear (20, 20)
-
         self.species_dropout = nn.Dropout1d(dropout)
-
         self.batch_norm0 = nn.LayerNorm (4098)
         self.batch_norm1 = nn.LayerNorm (512)
         self.batch_norm2 = nn.LayerNorm (256)
         self.batch_norm3 = nn.LayerNorm (128)
-
         self.lysate = nn.Linear (1, 20)
         self.lysate2 = nn.Linear (20, 10)
         self.lysate_dropout = nn.Dropout1d(dropout)
         self.cell = nn.Linear (1, 20)
         self.cell2 = nn.Linear (20, 10)
         self.cell_dropout = nn.Dropout1d(dropout)
-        
 
     #forward pass through the neural network    
     def forward (self, x, species_feature,lysate, cell):
-        x = x.float()
+        x = x.reshape (1,-1 ).float()
+        species_feature = torch.tensor (species_feature, dtype=torch.float32)
+        lysate = torch.tensor (lysate, dtype=torch.float32)
+        cell = torch.tensor (cell, dtype=torch.float32)
         lysate = lysate.reshape (-1, 1)
         lysate = self.lysate_dropout(F.selu(self.lysate (lysate)))
         lysate = self.lysate_dropout(F.selu(self.lysate2 (lysate)))
@@ -113,57 +107,11 @@ class LSMTNeuralNet (pl.LightningModule):
         x = self.third_dropout(self.batch_norm3(F.selu(self.third_layer (x))))
         tm = self.seventh_layer (x)
         return tm
-
     def configure_optimizers(self):
         optimizer = torch.optim.Adam (self.parameters(), lr= self.learning_rate)
         scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau (optimizer=optimizer,mode='min',patience=10)
         return {"optimizer":optimizer , "lr_scheduler": scheduler, "monitor": "train_loss"}
 
-    def train_dataloader(self):
-        train_loader = DataLoader (dataset = training,
-                                   batch_size= self.batch_size,
-                                   num_workers=12,
-                                   shuffle=True)
-        return train_loader
-
-    def training_step(self, batch, batch_idx):
-        species, protein, features,species_feature , tm, lysate, cell = batch
-        output_tm = self.forward (features,species_feature, lysate, cell)
-        tm = tm.to(torch.float32).clone().detach().reshape(-1,1)
-        loss1 = F.mse_loss (output_tm, tm)
-        loss = loss1
-        return loss
-    
-    def val_dataloader(self):
-        val_loader = DataLoader (dataset = validation,
-                                batch_size= self.batch_size,
-                                num_workers=12,
-                                shuffle=False)
-        return val_loader
-    
-    def validation_step(self, batch, batch_idx):
-        species, protein, features,species_feature , tm, lysate, cell = batch
-        output_tm = self.forward (features,species_feature, lysate, cell)
-        tm = tm.to(torch.float32).clone().detach().reshape(-1,1)
-        loss1 = F.mse_loss (output_tm, tm)
-        loss = loss1
-        return loss
-        
-    def test_dataloader(self):
-        test_loader = DataLoader(dataset = testing,
-                                batch_size= self.batch_size,
-                                num_workers=12,
-                                shuffle=False)
-        return test_loader
-    
-    def test_step(self, batch, batch_index):
-        species, protein, features,species_feature , tm, lysate, cell = batch
-        output_tm = self.forward (features,species_feature, lysate, cell)
-        tm = tm.to(torch.float32).clone().detach().reshape(-1,1)
-        loss1 = F.mse_loss (output_tm, tm)
-        loss = loss1
-        return loss
-    
     def predict_dataloader (self):
             predict_loader = DataLoader(dataset = testing,
                                     num_workers=1,
@@ -202,12 +150,12 @@ if __name__ == '__main__':
     learningrate = 0.01
    
     testing =  CustomDataset_training(filepath_testing)
-    lstm_net =  LSMTNeuralNet.load_from_checkpoint (str(fn)+'/runs/lightning_logs/10K_b25/checkpoints/epoch=68-step=441600.ckpt')
-    trainer = Trainer (accelerator='gpu', devices=1,auto_lr_find=False)
+    lstm_net =  LSMTNeuralNet.load_from_checkpoint (str(fn)+'/runs/lightning_logs/b25_sampled_10k_tuned_2_d01/checkpoints/epoch=1-step=2316.ckpt')
+    trainer = Trainer (default_root_dir=str(fn)+'/runs/',accelerator='gpu', devices=1,auto_lr_find=False)
     data1= trainer.predict (lstm_net)
     output_df = generate_output_dataframe (data1)
     display (output_df)
-    output_df.to_csv(str(fn)+"/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample_b25_10k.csv", index=False)
+    output_df.to_csv(str(fn)+"/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Full_dataset/full_dataset_pred_new_arch_train_sample_b25_10k.csv", index=False)
     print ('Done')
 
         
diff --git a/workflows/TransformerBasedTMPrediction/MLP_prediction/tpredit_growth_new_architecture_mut.py b/workflows/TransformerBasedTMPrediction/MLP_prediction/tpredit_growth_new_architecture_mut.py
index 8cecec9919313843701e26774ac3aa2040f9680d..f91d7884d184243924b0341429c99a612b296531 100644
--- a/workflows/TransformerBasedTMPrediction/MLP_prediction/tpredit_growth_new_architecture_mut.py
+++ b/workflows/TransformerBasedTMPrediction/MLP_prediction/tpredit_growth_new_architecture_mut.py
@@ -57,11 +57,10 @@ class LSMTNeuralNet (pl.LightningModule):
     #initialisation of parameters and layers
     def __init__(self, dropout, learning_rate, batch_size):
         super().__init__()
-        #parameters for the folliwing functions
+                #parameters for the folliwing functions
         self.learning_rate = learning_rate
         self.batch_size = batch_size
         self.dropout =dropout
-        
         #layer of the neureal network
         self.zero_layer = nn.Linear (1064, 4098)
         self.zero_dropout = nn.Dropout1d (dropout)
@@ -69,34 +68,29 @@ class LSMTNeuralNet (pl.LightningModule):
         self.first_dropout = nn.Dropout1d (dropout)
         self.second_layer = nn.Linear (512, 256)
         self.second_dropout = nn.Dropout1d (dropout)
-        
         self.third_layer = nn.Linear (256, 128)
         self.third_dropout = nn.Dropout1d (dropout)
-        
-        
         self.seventh_layer = nn.Linear (128, 1)
-        
         self.species_layer_one = nn.Linear (1, 20)
         self.species_layer_two = nn.Linear (20, 20)
-
         self.species_dropout = nn.Dropout1d(dropout)
-
         self.batch_norm0 = nn.LayerNorm (4098)
         self.batch_norm1 = nn.LayerNorm (512)
         self.batch_norm2 = nn.LayerNorm (256)
         self.batch_norm3 = nn.LayerNorm (128)
-
         self.lysate = nn.Linear (1, 20)
         self.lysate2 = nn.Linear (20, 10)
         self.lysate_dropout = nn.Dropout1d(dropout)
         self.cell = nn.Linear (1, 20)
         self.cell2 = nn.Linear (20, 10)
         self.cell_dropout = nn.Dropout1d(dropout)
-        
 
     #forward pass through the neural network    
     def forward (self, x, species_feature,lysate, cell):
-        x = x.float()
+        x = x.reshape (1,-1 ).float()
+        species_feature = torch.tensor (species_feature, dtype=torch.float32)
+        lysate = torch.tensor (lysate, dtype=torch.float32)
+        cell = torch.tensor (cell, dtype=torch.float32)
         lysate = lysate.reshape (-1, 1)
         lysate = self.lysate_dropout(F.selu(self.lysate (lysate)))
         lysate = self.lysate_dropout(F.selu(self.lysate2 (lysate)))
@@ -154,7 +148,7 @@ if __name__ == '__main__':
    
     testing =  CustomDataset_training(filepath_testing)
     lstm_net =  LSMTNeuralNet.load_from_checkpoint (str(fn)+'/runs/lightning_logs/b25_sampled_10k_tuned_2_d01/checkpoints/epoch=1-step=2316.ckpt')
-    trainer = Trainer (accelerator='gpu', devices=1,auto_lr_find=False)
+    trainer = Trainer (default_root_dir=str(fn)+'/runs/',accelerator='gpu', devices=1,auto_lr_find=False)
     data1= trainer.predict (lstm_net)
     output_df = generate_output_dataframe (data1)
     display (output_df)
diff --git a/workflows/TransformerBasedTMPrediction/MLP_training/training.py b/workflows/TransformerBasedTMPrediction/MLP_training/training.py
index 0b98a1b66d40e856afacb0cd3e118e576fe23378..6deb7b79f16ee4157a5db535cee52facd95a9607 100644
--- a/workflows/TransformerBasedTMPrediction/MLP_training/training.py
+++ b/workflows/TransformerBasedTMPrediction/MLP_training/training.py
@@ -198,9 +198,9 @@ def generate_output_dataframe (output_data):
 if __name__ == '__main__':
     
     #Path to the sourcedata  
-    filepath_training = str(fn) + '/runs/ResamplingOfTrainingData/training_human_PCT_with_danio_sampled_10K_dif_growth.parquet'
-    filepath_vali     = str(fn) + '/runs/TransformerBasedTMPrediction/Datasets/validation/validation_human_PCT_with_danio_dif_growth.parquet'
-    filepath_testing  = str(fn) + '/runs/TransformerBasedTMPrediction/Datasets/testing/testing_human_PCT_with_danio_dif_growth.parquet'
+    filepath_training = str(fn) + '/runs/ResamplingOfTrainingData/training_human_PCT_with_danio_sampled_10K.parquet'
+    filepath_vali     = str(fn) + '/runs/TransformerBasedTMPrediction/Datasets/validation/validation_human_PCT_with_danio.parquet'
+    filepath_testing  = str(fn) + '/runs/TransformerBasedTMPrediction/Datasets/testing/testing_human_PCT_with_danio.parquet'
     dropout = 0.2
     batch_size = 25
     num_epochs = 100
@@ -214,12 +214,12 @@ if __name__ == '__main__':
     lstm_net =  LSMTNeuralNet (dropout= dropout,
                               learning_rate = learningrate,
                               batch_size = batch_size)
-    trainer = Trainer (precision=16, accelerator='gpu', devices=1, auto_lr_find=False ,max_epochs=num_epochs, fast_dev_run=False)
+    trainer = Trainer (default_root_dir=str(fn)+'/runs/',precision=16, accelerator='gpu', devices=1, auto_lr_find=False ,max_epochs=num_epochs, fast_dev_run=False)
     trainer.fit(lstm_net)
     trainer.test(lstm_net)
     data1= trainer.predict (lstm_net)
     output_df = generate_output_dataframe (data1)
-    output_df.to_csv(str(fn) + '/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dif_growth.csv', index=False)
+    output_df.to_csv(str(fn) + '/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dif_growth.csv', index=False)
     print ('Done')
 
         
diff --git a/workflows/TransformerBasedTMPrediction/MLP_training/tuning.py b/workflows/TransformerBasedTMPrediction/MLP_training/tuning.py
index 277b8919039182b73dccd82446a4e6983d6e4501..6751daeaf501622e9f444f7243614d3e7f2d31a8 100644
--- a/workflows/TransformerBasedTMPrediction/MLP_training/tuning.py
+++ b/workflows/TransformerBasedTMPrediction/MLP_training/tuning.py
@@ -202,7 +202,7 @@ if __name__ == '__main__':
     filepath_vali     = str(fn) + '/runs/TransformerBasedTMPrediction/Datasets/validation/validation_human_PCT_with_danio.parquet'
     filepath_testing  = str(fn) + '/runs/TransformerBasedTMPrediction/Datasets/testing/testing_human_PCT_with_danio.parquet'
     dropout = 0.1
-    batch_size = 16
+    batch_size = 25
     num_epochs = 1
     learningrate = 0.01
     time1 = time.time()
@@ -212,12 +212,12 @@ if __name__ == '__main__':
     validation =  CustomDataset_training(filepath_vali)
     testing =  CustomDataset_training(filepath_testing)
     lstm_net =  LSMTNeuralNet.load_from_checkpoint (str(fn) + '/runs/lightning_logs/10K_b25/checkpoints/epoch=68-step=441600.ckpt',dropout=0.1, batch_size=batch_size)
-    trainer = Trainer (precision=16, accelerator='gpu', devices=1, auto_lr_find=False ,max_epochs=num_epochs, fast_dev_run=False)
+    trainer = Trainer (default_root_dir=str(fn)+'/runs/',precision=16, accelerator='gpu', devices=1, auto_lr_find=False ,max_epochs=num_epochs, fast_dev_run=False)
     trainer.fit(lstm_net)
     trainer.test(lstm_net)
     data1= trainer.predict (lstm_net)
     output_df = generate_output_dataframe (data1)
-    output_df.to_csv(str(fn) + '/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_e1_01d.csv', index=False)
+    output_df.to_csv(str(fn) + '/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b16_10k_tuned_e1_01d.csv', index=False)
     print ('Done')
 
         
diff --git a/workflows/TransformerBasedTMPrediction/interquartilerange/interqurtile.py b/workflows/TransformerBasedTMPrediction/interquartilerange/interqurtile.py
index eef94264144eaf4cf4fda8d4a89547c2ea15ab52..5033d0e046ea95e91d36005fbd61e69caf682a97 100644
--- a/workflows/TransformerBasedTMPrediction/interquartilerange/interqurtile.py
+++ b/workflows/TransformerBasedTMPrediction/interquartilerange/interqurtile.py
@@ -9,7 +9,7 @@ def read_in (file):
     return data
 
 
-filepath = str(fn)+'/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_1e_d01_dif.csv'
+filepath = str(fn)+'/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/deepSTABp_prediction/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01_dif.csv'
 
 data = read_in (filepath)
 display (data)
diff --git a/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_datasets_for_pictures/full_dataset.py b/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_datasets_for_pictures/full_dataset.py
index 81f8645aa1b5a38ad75a2a486b1de8a7977912de..b1aaeb977cd6bda19fde53170dfb8c1faa456249 100644
--- a/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_datasets_for_pictures/full_dataset.py
+++ b/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_datasets_for_pictures/full_dataset.py
@@ -28,7 +28,7 @@ custom_species_dict = {"'Oleispira antarctica_RB-8_lysate_R1'":'Oleispira antarc
                         "'Thermus thermophilus HB27 lysate'":'Thermus thermophilus lysate'
                         }
 
-filepath = str(fn)+'/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/Full_dataset/full_dataset_pred_new_arch_train_sample.csv'
+filepath = str(fn)+'/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/legacy/Full_dataset/full_dataset_pred_new_arch_train_sample.csv'
 
 data = read_in (filepath)
 
diff --git a/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_datasets_for_pictures/prostab_comarison_dataset.py b/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_datasets_for_pictures/prostab_comarison_dataset.py
index 041ec8d1546917e3c98f9702c130ceec5db28a0a..8dadd4c71bb42c2f068553b9cd06d46de7d44cca 100644
--- a/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_datasets_for_pictures/prostab_comarison_dataset.py
+++ b/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_datasets_for_pictures/prostab_comarison_dataset.py
@@ -22,7 +22,7 @@ def add_meltome_labels (protein, Tm):
     label = data['Tm'].values[0]
     return label
 
-filepath = str(fn)+'/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_e2_01d.csv'
+filepath = str(fn)+'/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/legacy/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_e2_01d.csv'
 
 data = read_in (filepath)
 
@@ -57,5 +57,5 @@ metrics = {'MRSE': [mean_squared_error(data['label_tm'],data['output_tm'],square
             }
 metric_df = pd.DataFrame (metrics, index=['Model', 'ProTstab2'])
 
-data.to_csv(str(fn)+'/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_2e_d01_dif.csv', index=False)
-metric_df.to_csv (str(fn)+'/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_2e_d01_mertics.csv', index=False)
\ No newline at end of file
+data.to_csv(str(fn)+'/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/legacy/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_2e_d01_dif.csv', index=False)
+metric_df.to_csv (str(fn)+'/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/legacy/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_dogt_tuned_2e_d01_mertics.csv', index=False)
\ No newline at end of file
diff --git a/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_pictures/full_dataset/full_dataset_regression_red.py b/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_pictures/full_dataset/full_dataset_regression_red.py
index 0d18d1798a9d6036851c62717008131a37dd6220..640d688a8e7cf2719cf7cb242233f943e0f41edb 100644
--- a/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_pictures/full_dataset/full_dataset_regression_red.py
+++ b/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_pictures/full_dataset/full_dataset_regression_red.py
@@ -15,7 +15,7 @@ def read_in (file):
     return data
 
 
-filepath = str(fn)+'/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01_dif.csv'
+filepath = str(fn)+'/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/deepSTABp_prediction/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01_dif.csv'
 data = read_in (filepath)
 data['protein']= data['protein'].str.replace("'","")
 x = data['output_tm'].to_numpy()
@@ -59,4 +59,4 @@ fig.update_layout(
                 )
 
 fig.show()
-fig.write_image( str(fn)+'/runs/growth_temperature/fig_contour_red_v3.svg')
+#fig.write_image( str(fn)+'/runs/growth_temperature/fig_contour_red_v3.svg')
diff --git a/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_pictures/protstab_comp/prostab_marginal_dis.py b/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_pictures/protstab_comp/prostab_marginal_dis.py
index 752ce50a9b76a631e84ab399f41d98f637bca79b..d9e30734a62e7af6e086b1e44436a4cca1ea17e7 100644
--- a/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_pictures/protstab_comp/prostab_marginal_dis.py
+++ b/workflows/TransformerBasedTMPrediction/picture_metrics_creation/create_pictures/protstab_comp/prostab_marginal_dis.py
@@ -10,7 +10,7 @@ def read_in (file):
     return data
 
 
-filepath = str(fn)+'/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/Thermal_prox_coagg_human/ProTstab2_comparison/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_1e_d01_dif.csv'
+filepath = str(fn)+'/runs/TransformerBasedTMPrediction/Predictions/Dataset_predictions/deepSTABp_prediction/human_ptc_prostab_pred_new_archi_sampled_b25_10k_tuned_2e_d01_dif.csv'
 
 data = read_in (filepath)
 
@@ -95,4 +95,4 @@ fig.update_layout(shapes=[
                     line={'width': 1, 'color': 'black'})])
 
 fig.show()
-fig.write_image( str(fn)+'/runs/growth_temperature/fig_rainbow_v3.svg')
\ No newline at end of file
+#fig.write_image( str(fn)+'/runs/growth_temperature/fig_rainbow_v3.svg')
\ No newline at end of file
diff --git a/workflows/prediction_model/predcit_with_human_ptc.py b/workflows/prediction_model/predcit_with_human_ptc.py
deleted file mode 100644
index 46d1117f9ca62295c09faed66c00f2bb655ff89d..0000000000000000000000000000000000000000
--- a/workflows/prediction_model/predcit_with_human_ptc.py
+++ /dev/null
@@ -1,240 +0,0 @@
-import pandas as pd
-from Bio import SeqIO
-import numpy as np
-import torch as torch
-import torch.nn as nn
-import torch.nn.functional as F
-import pytorch_lightning as pl
-from torch.utils.data import DataLoader, Dataset
-from transformers import XLNetTokenizer, AutoModel, pipeline, AutoTokenizer, T5EncoderModel, T5Tokenizer
-from tqdm.auto import tqdm
-import gc
-import re
-from pytorch_lightning import Trainer
-from functools import reduce
-from IPython.display import display
-import time
-import pathlib
-fn = pathlib.Path(__file__).parent.parent.parent
-
-device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
-#PYTORCH_CUDA_ALLOC_CONF = max_split_size_mb:
-
-#function to convert the fasta sequence into the embeddingns with a lenght of 1024 (the returned embedding is the mean of all amino acid embeddings of the sequence)
-def new_features (features, model):
-    #trys to run the embedding on the gpu if available
-    try:
-        device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
-        #passes the transformer model to the device and sets it into evaluation mode
-        model = model.to(device)
-        model = model.eval()
-        #tokenization of the fasta sequence
-        ids = tokenizer.batch_encode_plus(features, add_special_tokens=True, padding=True)
-        input_ids = torch.tensor(ids['input_ids']).to(device)
-        #genneration of the attention mask
-        attention_mask = torch.tensor(ids['attention_mask']).to(device)
-        #genertion of the embeddings
-        with torch.no_grad():
-            embedding = model(input_ids=input_ids,attention_mask=attention_mask)
-        #moves the embeddings from a tensor to a numpy array and from the gpu to the cpu
-        embedding = embedding.last_hidden_state.cpu().numpy()
-        new_feature = []
-        #removes tokens that where added during the tokenization and are not part of the actual sequence
-        for seq_num in range(len(embedding)):
-            seq_len = (attention_mask[seq_num]==1).sum()
-            seq_emd = embedding[seq_num][:seq_len-1]
-            new_feature.append(seq_emd)
-        #calculation of the mean of the embeddings
-        new_feature = np.array (new_feature)
-        out = torch.tensor (new_feature)
-        out = out.mean(1)
-        out = out.reshape(-1)
-        out = out.tolist()
-        return out
-    #runs the embedding on the cpu if a gpu is available but the gpu does not have enough memory 
-    except:
-        device = torch.device('cpu')
-        model = model.to(device)
-        model = model.eval()
-        ids = tokenizer.batch_encode_plus(features, add_special_tokens=True, padding=True)
-        input_ids = torch.tensor(ids['input_ids']).to(device)
-        attention_mask = torch.tensor(ids['attention_mask']).to(device)
-        with torch.no_grad():
-            embedding = model(input_ids=input_ids,attention_mask=attention_mask)
-        embedding = embedding.last_hidden_state.cpu().numpy()
-        new_feature = []
-        for seq_num in range(len(embedding)):
-            seq_len = (attention_mask[seq_num]==1).sum()
-            seq_emd = embedding[seq_num][:seq_len-1]
-            new_feature.append(seq_emd)
-        new_feature = np.array (new_feature)
-        out = torch.tensor (new_feature)
-        out = out.mean(1)
-        out = out.reshape(-1)
-        out = out.tolist()
-        return out
-
-
-#creates a dataset that is used to calculated the melting temperature
-class CustomDataset (Dataset):
-    def __init__(self, data):
-        
-        self.protein = data.iloc[:,0].values.tolist()
-        self.features = torch.from_numpy(np.array (data['feature'].values.tolist(), dtype=np.float32))
-        self.species_features = torch.from_numpy(np.array (data['growth_feature'].values.tolist(), dtype=np.float32))
-        self.lysate = torch.from_numpy(np.array (data['lysate'].values.tolist(), dtype=np.float32))
-        self.cell = torch.from_numpy(np.array (data['cell'].values.tolist(),dtype=np.float32))
-    def __len__(self):
-        return (len (self.features))
-    
-    def __getitem__(self, index):
-        protein = self.protein[index]
-        features = self.features[index]
-        species_features = self.species_features[index]
-        lysate = self.lysate[index]
-        cell = self.cell[index]
-        return protein, features,species_features, lysate, cell
-        
-        
-class LSMTNeuralNet (pl.LightningModule):
-    #initialisation of parameters and layers
-    def __init__(self, dropout, learning_rate, batch_size):
-        super().__init__()
-        #parameters for the folliwing functions
-        self.learning_rate = learning_rate
-        self.batch_size = batch_size
-        self.dropout =dropout
-        
-        #layer of the neureal network
-        self.zero_layer = nn.Linear (1044, 4098)
-        self.zero_dropout = nn.Dropout1d (dropout)
-        self.first_layer = nn.Linear (4098, 512)
-        self.first_dropout = nn.Dropout1d (dropout)
-        self.second_layer = nn.Linear (512, 256)
-        self.second_dropout = nn.Dropout1d (dropout)
-        
-        self.third_layer = nn.Linear (256, 128)
-        self.third_dropout = nn.Dropout1d (dropout)
-        
-        
-        self.seventh_layer = nn.Linear (128, 1)
-        
-        self.species_layer_one = nn.Linear (1, 20)
-        self.species_layer_two = nn.Linear (20, 1)
-        self.species_dropout = nn.Dropout1d(dropout)
-        self.output = nn.Linear (2,1)
-        self.batch_norm0 = nn.LayerNorm (4098)
-        self.batch_norm1 = nn.LayerNorm (512)
-        self.batch_norm2 = nn.LayerNorm (256)
-        self.batch_norm3 = nn.LayerNorm (128)
-
-        self.lysate = nn.Linear (1, 10)
-        self.lysate_dropout = nn.Dropout1d(dropout)
-        self.cell = nn.Linear (1, 10)
-        self.cell_dropout = nn.Dropout1d(dropout)
-        
-
-    #forward pass through the neural network    
-    def forward (self, x, species_feature,lysate, cell):
-        x = x.float()
-        lysate = lysate.reshape (-1, 1)
-        lysate = self.lysate_dropout(F.selu(self.lysate (lysate)))
-        cell = cell.reshape (-1, 1)
-        cell = self.cell_dropout(F.selu(self.cell (cell)))
-        x = torch.cat ([lysate, cell,x], dim=1)
-        x = self.zero_dropout (self.batch_norm0 (F.selu(self.zero_layer(x))))
-        x = self.first_dropout(self.batch_norm1(F.selu(self.first_layer (x))))
-        x = self.second_dropout(self.batch_norm2(F.selu(self.second_layer (x))))
-        x = self.third_dropout(self.batch_norm3(F.selu(self.third_layer (x))))
-        tm_est = self.seventh_layer (x)
-        
-        species_feature = species_feature.reshape (-1, 1)
-        species_feature = self.species_dropout(F.selu(self.species_layer_one (species_feature)))
-        species_feature = self.species_layer_two (species_feature)
-        
-        combined = torch.cat ([tm_est, species_feature], dim=1)
-        
-        tm = self.output (combined)
-        return tm
-    #prediction dataloader
-    def predict_dataloader (self):
-        predict_loader = DataLoader(dataset = prediction,
-                                num_workers=12,
-                                shuffle=False)
-        return predict_loader
-    #step which returns the protein and the predicted melting temperature   
-    def predict_step (self, batch, batch_index):
-        protein, features,species_feature , lysate, cell = batch
-        output_tm = self.forward (features,species_feature, lysate, cell)
-        protein = str(protein)
-        protein = re.sub (r'[(,)]','',protein)
-        output_tm = output_tm.tolist()
-        output_tm = reduce (lambda a,b:b, output_tm)[0]
-        return protein, output_tm
-
-#generates a dataframe that contains the protein as one column and the melting temperature as second column
-def generate_output_dataframe (output_data):
-    pd_data = pd.DataFrame(output_data)
-    columns = ['Protein','output_tm']
-    pd_data.columns = columns
-    pd_data['Protein'] = pd_data['Protein'].str.replace("'","")
-    pd_data['output_tm'] = pd_data ['output_tm']*(97.4166905791789-30.441673997070385)+30.441673997070385
-    return pd_data    
-
-
-if __name__ == '__main__':
-    time1 = time.time()
-    #read in of a fasta file 
-    filepath = str(fn)+'/studies/TransformerBasedTMPrediction/resources/test_fasta.fasta'
-    #the growth and lysate cell feature are set (needs to be reworked)
-    growth_temp = 22
-    growth_temp = (growth_temp-30.44167)/(97.4167-30.44167)
-    lysate = 1
-    cell = 0
-    #reads in the fasta file and returns the fasta sequence and the protein name in a dataframe
-    with open (filepath) as handle:
-        genome = SeqIO.parse (handle, 'fasta')
-        for x,fasta in enumerate (genome):
-            name, sequence = fasta.id, str(fasta.seq)
-            name = name.split('|')[1]
-            sequence = sequence.replace ("O",'X').replace ("U",'X').replace( "J",'X').replace ("Z",'X').replace ("B",'X')
-            sequence = list (sequence)
-            sequence = ' '.join (sequence)
-            sequence = [sequence]
-            if x == 0:
-                df_dict = {'Protein':name, 'feature':[sequence]}
-                new_df = pd.DataFrame (df_dict)
-            else:
-                df_dict = {'Protein':name, 'feature':[sequence]}
-                new_df2 = pd.DataFrame (df_dict)
-                new_df = pd.concat ((new_df, new_df2))
-    #adds the growth, lysate, and cell feature to the dataframe
-    new_df['growth_feature'] = growth_temp
-    new_df['lysate'] = lysate
-    new_df['cell'] = cell
-    display (new_df)
-    #loads the T5_xl_uniref50 model for the generation of the embeddings
-    tokenizer = T5Tokenizer.from_pretrained("Rostlab/prot_t5_xl_uniref50", do_lower_case=False )
-    model = T5EncoderModel.from_pretrained("Rostlab/prot_t5_xl_uniref50")
-    gc.collect()
-
-    #generate the embedding for each protein
-    new_df['feature'] = new_df['feature'].apply (lambda x: new_features (x, model))
-    new_df = new_df.reset_index(drop=True)
-    display (new_df)
-    #generate the prediction of the melting temperature for each protein
-    prediction = CustomDataset (new_df)
-    model_path = str(fn)+"/runs/lightning_logs/b25_na_sampled_10k_tuned_1_d01/checkpoints/epoch=0-step=1158.ckpt"
-    prediction_net = LSMTNeuralNet.load_from_checkpoint (model_path)
-    if torch.cuda.is_available():
-        trainer = Trainer (accelerator='gpu', devices=1)
-    else:
-        trainer = Trainer ()
-    data1= trainer.predict (prediction_net)
-    #generates the dataframe that contains the protein name and the calculated melting temperature
-    output_df = generate_output_dataframe (data1)
-    display (output_df)
-    time2 = time.time()
-    print (time2- time1)
-    
-    
\ No newline at end of file
diff --git a/workflows/prediction_model/predcit_with_human_ptc_cpu_only.py b/workflows/prediction_model/predcit_with_human_ptc_cpu.py
similarity index 70%
rename from workflows/prediction_model/predcit_with_human_ptc_cpu_only.py
rename to workflows/prediction_model/predcit_with_human_ptc_cpu.py
index 1ef6fdfb3a3c0b8c49a7434467754bef25ee2b3e..687cd8afe20983d76ea2dfe1dd89160f44af1d6b 100644
--- a/workflows/prediction_model/predcit_with_human_ptc_cpu_only.py
+++ b/workflows/prediction_model/predcit_with_human_ptc_cpu.py
@@ -10,12 +10,11 @@ from transformers import  T5EncoderModel, T5Tokenizer
 from tqdm.auto import tqdm
 import gc
 import time
-import pathlib
-fn = pathlib.Path(__file__).parent.parent.parent
 
 #function to convert the fasta sequence into the embeddingns with a lenght of 1024 (the returned embedding is the mean of all amino acid embeddings of the sequence)
 def new_features (features, model, tokenizer):
-    device = torch.device('cuda')
+    device = torch.device('cpu')
+    model = model.to(device)
     ids = tokenizer.batch_encode_plus(features, add_special_tokens=True, padding=True)
     input_ids = torch.tensor(ids['input_ids']).to(device)
     attention_mask = torch.tensor(ids['attention_mask']).to(device)
@@ -37,11 +36,10 @@ class LSMTNeuralNet (pl.LightningModule):
     #initialisation of parameters and layers
     def __init__(self, dropout, learning_rate, batch_size):
         super().__init__()
-        #parameters for the folliwing functions
+                #parameters for the folliwing functions
         self.learning_rate = learning_rate
         self.batch_size = batch_size
         self.dropout =dropout
-        
         #layer of the neureal network
         self.zero_layer = nn.Linear (1064, 4098)
         self.zero_dropout = nn.Dropout1d (dropout)
@@ -49,37 +47,29 @@ class LSMTNeuralNet (pl.LightningModule):
         self.first_dropout = nn.Dropout1d (dropout)
         self.second_layer = nn.Linear (512, 256)
         self.second_dropout = nn.Dropout1d (dropout)
-        
         self.third_layer = nn.Linear (256, 128)
         self.third_dropout = nn.Dropout1d (dropout)
-        
-        
         self.seventh_layer = nn.Linear (128, 1)
-        
         self.species_layer_one = nn.Linear (1, 20)
         self.species_layer_two = nn.Linear (20, 20)
-
         self.species_dropout = nn.Dropout1d(dropout)
-
         self.batch_norm0 = nn.LayerNorm (4098)
         self.batch_norm1 = nn.LayerNorm (512)
         self.batch_norm2 = nn.LayerNorm (256)
         self.batch_norm3 = nn.LayerNorm (128)
-
         self.lysate = nn.Linear (1, 20)
         self.lysate2 = nn.Linear (20, 10)
         self.lysate_dropout = nn.Dropout1d(dropout)
         self.cell = nn.Linear (1, 20)
         self.cell2 = nn.Linear (20, 10)
         self.cell_dropout = nn.Dropout1d(dropout)
-        
 
     #forward pass through the neural network    
     def forward (self, x, species_feature,lysate, cell):
-        x = x.reshape (1, -1).float().to(torch.device('cuda'))
-        species_feature = torch.tensor (species_feature, dtype=torch.float32).to(torch.device('cuda'))
-        lysate = torch.tensor (lysate, dtype=torch.float32).to(torch.device('cuda'))
-        cell = torch.tensor (cell, dtype=torch.float32).to(torch.device('cuda'))
+        x = x.reshape (1,-1 ).float()
+        species_feature = torch.tensor (species_feature, dtype=torch.float32)
+        lysate = torch.tensor (lysate, dtype=torch.float32)
+        cell = torch.tensor (cell, dtype=torch.float32)
         lysate = lysate.reshape (-1, 1)
         lysate = self.lysate_dropout(F.selu(self.lysate (lysate)))
         lysate = self.lysate_dropout(F.selu(self.lysate2 (lysate)))
@@ -96,7 +86,7 @@ class LSMTNeuralNet (pl.LightningModule):
         x = self.third_dropout(self.batch_norm3(F.selu(self.third_layer (x))))
         tm = self.seventh_layer (x)
         return tm
-        
+    
 def create_dataframe (fasta, lycell, growth):
     growth_temp = (growth-30.44167)/(97.4167-30.44167)
     if lycell == 'lysate':
@@ -138,36 +128,3 @@ def determine_tm (dataframe, transformer, tm_predicter, new_features, tokenizer)
     output_df['Tm'] = output_df['Tm']*(97.4166905791789-30.441673997070385)+30.441673997070385
     return output_df
 
-if __name__ == '__main__':
-    tokenizer = T5Tokenizer.from_pretrained("Rostlab/prot_t5_xl_uniref50", do_lower_case=False )
-    model = T5EncoderModel.from_pretrained("Rostlab/prot_t5_xl_uniref50").to(torch.device('cuda'))
-    gc.collect()
-    model_path = str(fn)+ "/runs/lightning_logs/b25_na_sampled_10k_tuned_1_d01/checkpoints/epoch=0-step=1158.ckpt"
-    prediction_net = LSMTNeuralNet.load_from_checkpoint (model_path).to(torch.device('cuda'))
-    fasta = '''>sp|A0A0A7EPL0|PIAL1_ARATH E4 SUMO-protein ligase PIAL1 OS=Arabidopsis thaliana OX=3702 GN=PIAL1 PE=2 SV=1
-MVIPATSRFGFRAEFNTKEFQASCISLANEIDAAIGRNEVPGNIQELALILNNVCRRKCD
-DYQTRAVVMALMISVKSACQLGWFPERETQELLAIIDLMWNGFSCPENVTSCVNSPVTLI
-SQVIERFYPCVKLGHILVSFEAKPESKMMMKDFHISKKMPHSPKQKVGLFVVRTEDISRS
-NCIVHPQGVSFLLNGKGIDKRVNISMESGPQLPTNVTALLNLGANLLQAIGCFGGSYLIA
-IAFMDVIPLPNKPLLKDYVHPEVVGSNSDCDIIEGPSRISLSCPISRTRIKLPVKGHVCK
-HLQCFDFWNYVNMNTRRPSWRCPHCNQSVCYTDIRVDQKLRKILEEVGRNAADVVISADG
-TWMVETENDEDVELVPETTHDHGDPNSFINLGPTVKNPARDENEMETSTQVEEHNPCLSE
-IQGPSNDTHRPASDYTMLNQSHTSTNTLPQLPRTLNAFDGQQFVNLPQVINTRDSPASQA
-LPMTFSPTPSPQDILATNAANFGTSMPAAQSSQFQGSHVTSLGNCEGRTSDLMARWNHIY
-GRVQTQFPPAPLSHHHYSMQNQSPSPAQQRPVPSYIAHPQTFHVNYGENADQRWMPSSIA
-HPQTLPVNYGGNTNQRPIPSSIAHPQTLPVNYRGNTDHRSTPYSITHLQTLLNYGGNADQ
-RPMPSSITNLQTLPATYGGYAHQRPMSSSITHPRTSPVNYGGTPDQRPMPSSITHPQTLP
-VSYGGTTDQILNPGGAMGQFSSREFMNLTPANTENWRPQSRMRGSVAPGTGYDHMIIHPT
-RPVHPQAQTPPAPLSTSYDGADEIQAFIGHPSYPVSNNETQAGTSSLPVAEGLGYSGSFW
-SMPPETW VSYGGTTDQILNPGGAMGQFSSREFMNLTPANTENWRPQSRMRGSVAPGTGYDHMIIHPT
-RPVHPQAQTPPAPLSTSYDGADEIQAFIGHPSYPVSNNETQAGTSSLPVAEGLGYSGSFW
-SMPPETW GRVQTQFPPAPLSHHHYSMQNQSPSP
-'''
-    new_df = create_dataframe (fasta, "lysate", 22.0)
-    time1 = time.time()
-    for i in range (0, 1000):
-        prediction = determine_tm (new_df, model, prediction_net, new_features, tokenizer)
-    time2 = time.time()
-    print (time2-time1)
-    print ((time2-time1)/10)
-
diff --git a/workflows/prediction_model/predcit_with_human_ptc_cuda.py b/workflows/prediction_model/predcit_with_human_ptc_cuda.py
new file mode 100644
index 0000000000000000000000000000000000000000..0771a5d57bb1e81a589e20691a613805f646b4b7
--- /dev/null
+++ b/workflows/prediction_model/predcit_with_human_ptc_cuda.py
@@ -0,0 +1,131 @@
+import pandas as pd
+from Bio import SeqIO
+import numpy as np
+import torch as torch
+import torch.nn as nn
+import torch.nn.functional as F
+import pytorch_lightning as pl
+from io import StringIO
+from transformers import  T5EncoderModel, T5Tokenizer
+from tqdm.auto import tqdm
+import gc
+import time
+
+#function to convert the fasta sequence into the embeddingns with a lenght of 1024 (the returned embedding is the mean of all amino acid embeddings of the sequence)
+def new_features (features, model, tokenizer):
+    device = torch.device('cuda')
+    model = model.to(device)
+    ids = tokenizer.batch_encode_plus(features, add_special_tokens=True, padding=True)
+    input_ids = torch.tensor(ids['input_ids']).to(device)
+    attention_mask = torch.tensor(ids['attention_mask']).to(device)
+    with torch.no_grad():
+        embedding = model(input_ids=input_ids,attention_mask=attention_mask)
+    embedding = embedding.last_hidden_state.cpu().numpy()
+    new_feature = []
+    for seq_num in range(len(embedding)):
+        seq_len = (attention_mask[seq_num]==1).sum()
+        seq_emd = embedding[seq_num][:seq_len-1]
+        new_feature.append(seq_emd)
+    new_feature = np.array (new_feature)
+    out = torch.tensor (new_feature)
+    out = out.mean(1)
+    out = out.reshape(-1)
+    return out
+        
+class LSMTNeuralNet (pl.LightningModule):
+    #initialisation of parameters and layers
+    def __init__(self, dropout, learning_rate, batch_size):
+        super().__init__()
+                #parameters for the folliwing functions
+        self.learning_rate = learning_rate
+        self.batch_size = batch_size
+        self.dropout =dropout
+        #layer of the neureal network
+        self.zero_layer = nn.Linear (1064, 4098)
+        self.zero_dropout = nn.Dropout1d (dropout)
+        self.first_layer = nn.Linear (4098, 512)
+        self.first_dropout = nn.Dropout1d (dropout)
+        self.second_layer = nn.Linear (512, 256)
+        self.second_dropout = nn.Dropout1d (dropout)
+        self.third_layer = nn.Linear (256, 128)
+        self.third_dropout = nn.Dropout1d (dropout)
+        self.seventh_layer = nn.Linear (128, 1)
+        self.species_layer_one = nn.Linear (1, 20)
+        self.species_layer_two = nn.Linear (20, 20)
+        self.species_dropout = nn.Dropout1d(dropout)
+        self.batch_norm0 = nn.LayerNorm (4098)
+        self.batch_norm1 = nn.LayerNorm (512)
+        self.batch_norm2 = nn.LayerNorm (256)
+        self.batch_norm3 = nn.LayerNorm (128)
+        self.lysate = nn.Linear (1, 20)
+        self.lysate2 = nn.Linear (20, 10)
+        self.lysate_dropout = nn.Dropout1d(dropout)
+        self.cell = nn.Linear (1, 20)
+        self.cell2 = nn.Linear (20, 10)
+        self.cell_dropout = nn.Dropout1d(dropout)
+
+    #forward pass through the neural network    
+    def forward (self, x, species_feature,lysate, cell):
+        x = x.reshape (1,-1 ).float().to(torch.device('cuda'))
+        species_feature = torch.tensor (species_feature, dtype=torch.float32)
+        lysate = torch.tensor (lysate, dtype=torch.float32)
+        cell = torch.tensor (cell, dtype=torch.float32)
+        lysate = lysate.reshape (-1, 1).to(torch.device('cuda'))
+        lysate = self.lysate_dropout(F.selu(self.lysate (lysate)))
+        lysate = self.lysate_dropout(F.selu(self.lysate2 (lysate)))
+        cell = cell.reshape (-1, 1).to(torch.device('cuda'))
+        cell = self.cell_dropout(F.selu(self.cell (cell)))
+        cell = self.cell_dropout(F.selu(self.cell2 (cell)))
+        species_feature = species_feature.reshape (-1, 1).to(torch.device('cuda'))
+        species_feature = self.species_dropout(F.selu(self.species_layer_one (species_feature)))
+        species_feature = self.species_dropout(F.selu(self.species_layer_two (species_feature)))
+        x = torch.cat ([lysate, cell,x,species_feature], dim=1)
+        x = self.zero_dropout (self.batch_norm0 (F.selu(self.zero_layer(x))))
+        x = self.first_dropout(self.batch_norm1(F.selu(self.first_layer (x))))
+        x = self.second_dropout(self.batch_norm2(F.selu(self.second_layer (x))))
+        x = self.third_dropout(self.batch_norm3(F.selu(self.third_layer (x))))
+        tm = self.seventh_layer (x)
+        return tm
+    
+def create_dataframe (fasta, lycell, growth):
+    growth_temp = (growth-30.44167)/(97.4167-30.44167)
+    if lycell == 'lysate':
+        lysate = 1
+        cell = 0
+    else:
+        lysate = 0
+        cell = 1
+    with StringIO(fasta) as fastq_io:
+        genome = SeqIO.parse (fastq_io, 'fasta')
+        for x,fasta in enumerate (genome):
+            name, sequence = fasta.id, str(fasta.seq)
+            name = name.split('|')[1]
+            sequence = sequence.replace ("O",'X').replace ("U",'X').replace( "J",'X').replace ("Z",'X').replace ("B",'X')
+            sequence = list (sequence)
+            sequence = ' '.join (sequence)
+            sequence = [sequence]
+            if x == 0:
+                df_dict = {'Protein':name, 'feature':[sequence]}
+                dataframe = pd.DataFrame (df_dict)
+            else:
+                df_dict = {'Protein':name, 'feature':[sequence]}
+                new_df2 = pd.DataFrame (df_dict)
+                dataframe = pd.concat ((dataframe, new_df2))
+    dataframe['growth_feature'] = growth_temp
+    dataframe['lysate'] = lysate
+    dataframe['cell'] = cell
+    return dataframe
+
+def determine_tm (dataframe, transformer, tm_predicter, new_features, tokenizer):
+    output = []
+    protein = []
+    tm_predicter = tm_predicter.to(torch.device('cuda'))
+    for index, row in dataframe.iterrows():
+        embedding = new_features(row['feature'], transformer, tokenizer)
+        tm_prediction = tm_predicter (embedding, row['growth_feature'],row['lysate'], row['cell'])
+        output.append (tm_prediction.cpu().detach().numpy().tolist()[0][0])
+        protein.append (row['Protein'])
+    output_df = pd.DataFrame ({'Protein':protein, 'Tm':output})
+    output_df['Tm'] = output_df['Tm']*(97.4166905791789-30.441673997070385)+30.441673997070385
+    return output_df
+
diff --git a/workflows/prediction_model/predict_main.py b/workflows/prediction_model/predict_main.py
index cd4ddf86a7cd96cb52653815e8572b2b26cb9792..c74708c03ea9e0bb59c4f90c1a34a68c3247cb15 100644
--- a/workflows/prediction_model/predict_main.py
+++ b/workflows/prediction_model/predict_main.py
@@ -1,4 +1,4 @@
-import predcit_with_human_ptc_cpu_only_copy as pred
+import predcit_with_human_ptc_cpu as pred
 from transformers import  T5EncoderModel, T5Tokenizer
 import gc
 import pathlib
@@ -18,7 +18,7 @@ MCCCCVLDCVF
 tokenizer = T5Tokenizer.from_pretrained("Rostlab/prot_t5_xl_uniref50", do_lower_case=False )
 model = T5EncoderModel.from_pretrained("Rostlab/prot_t5_xl_uniref50")
 gc.collect()
-pred_path = str(fn) +"/runs/lightning_logs/sampled_32_batchsize/checkpoints/epoch=46-step=42535.ckpt"
+pred_path = str(fn)+'/runs/lightning_logs/b25_sampled_10k_tuned_2_d01/checkpoints/epoch=1-step=2316.ckpt'
 prediction_net = pred.LSMTNeuralNet.load_from_checkpoint (pred_path)
 model = model.eval()
 prediction_net = prediction_net.eval()