# Running on vgni027
# Started at Mon 28 Nov 08:09:01 CET 2022
# python3 src/run_speech_recognition_ctc.py --report_to=none --run_name=experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/ --preprocessing_num_workers=5 --model_name_or_path=facebook/wav2vec2-large-960h-lv60-self --dataset_name=experiments/data/atcosim_uwb_atcc/train --min_duration_in_seconds=0.2 --max_duration_in_seconds=20 --eval_dataset_name=experiments/data/atcosim_uwb_atcc/test --train_split_name=train --output_dir=experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/ --num_train_epochs=50 --per_device_train_batch_size=24 --per_device_eval_batch_size=12 --gradient_accumulation_steps=1 --learning_rate=1e-4 --weight_decay=0.001 --warmup_steps=1000 --evaluation_strategy=steps --text_column_name=text --audio_column_name=audio --length_column_name=input_length '--chars_to_ignore=, ? . ! \; \: " “ % ‘ ” � — ’ … –' --save_steps=1000 --eval_steps=500 --logging_steps=1000 --layerdrop=0.0 --activation_dropout=0.0 --attention_dropout=0.0 --save_total_limit=1 --feat_proj_dropout=0.05 --mask_time_prob=0.075 --mask_time_length=12 --mask_feature_prob=0.0 --mask_feature_length=12 --gradient_checkpointing --freeze_feature_encoder --fp16 --group_by_length --do_train --do_eval --max_steps 10000 --overwrite_output_dir --freeze_feature_encoder 
11/28/2022 08:09:10 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True
11/28/2022 08:09:10 - INFO - __main__ - Training/evaluation parameters TrainingArguments(
_n_gpu=1,
adafactor=False,
adam_beta1=0.9,
adam_beta2=0.999,
adam_epsilon=1e-08,
auto_find_batch_size=False,
bf16=False,
bf16_full_eval=False,
data_seed=None,
dataloader_drop_last=False,
dataloader_num_workers=0,
dataloader_pin_memory=True,
ddp_bucket_cap_mb=None,
ddp_find_unused_parameters=None,
ddp_timeout=1800,
debug=[],
deepspeed=None,
disable_tqdm=False,
do_eval=True,
do_predict=False,
do_train=True,
eval_accumulation_steps=None,
eval_delay=0,
eval_steps=500,
evaluation_strategy=steps,
fp16=True,
fp16_backend=auto,
fp16_full_eval=False,
fp16_opt_level=O1,
fsdp=[],
fsdp_min_num_params=0,
fsdp_transformer_layer_cls_to_wrap=None,
full_determinism=False,
gradient_accumulation_steps=1,
gradient_checkpointing=True,
greater_is_better=None,
group_by_length=True,
half_precision_backend=auto,
hub_model_id=None,
hub_private_repo=False,
hub_strategy=every_save,
hub_token=<HUB_TOKEN>,
ignore_data_skip=False,
include_inputs_for_metrics=False,
jit_mode_eval=False,
label_names=None,
label_smoothing_factor=0.0,
learning_rate=0.0001,
length_column_name=input_length,
load_best_model_at_end=False,
local_rank=-1,
log_level=passive,
log_level_replica=passive,
log_on_each_node=True,
logging_dir=experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/runs/Nov28_08-09-10_vgni027,
logging_first_step=False,
logging_nan_inf_filter=True,
logging_steps=1000,
logging_strategy=steps,
lr_scheduler_type=linear,
max_grad_norm=1.0,
max_steps=10000,
metric_for_best_model=None,
mp_parameters=,
no_cuda=False,
num_train_epochs=50.0,
optim=adamw_hf,
output_dir=experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/,
overwrite_output_dir=True,
past_index=-1,
per_device_eval_batch_size=12,
per_device_train_batch_size=24,
prediction_loss_only=False,
push_to_hub=False,
push_to_hub_model_id=None,
push_to_hub_organization=None,
push_to_hub_token=<PUSH_TO_HUB_TOKEN>,
ray_scope=last,
remove_unused_columns=True,
report_to=[],
resume_from_checkpoint=None,
run_name=experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/,
save_on_each_node=False,
save_steps=1000,
save_strategy=steps,
save_total_limit=1,
seed=42,
sharded_ddp=[],
skip_memory_metrics=True,
tf32=None,
torchdynamo=None,
tpu_metrics_debug=False,
tpu_num_cores=None,
use_ipex=False,
use_legacy_prediction_loop=False,
use_mps_device=False,
warmup_ratio=0.0,
warmup_steps=1000,
weight_decay=0.001,
xpu_backend=None,
)
11/28/2022 08:09:10 - WARNING - datasets.builder - Using custom data configuration train-229a51d735ef0a2b
Downloading and preparing dataset atc_data_loader/train to /remote/idiap.svm/temp.speech01/jzuluaga/experiments/journal/asr/github/w2v2-air-traffic/.cache/experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc//train/atc_data_loader/train-229a51d735ef0a2b/0.0.0/f2633cc53c6abe32cddd4152eebde1a4e3c9953e1446e190b8d9a13330cddaa4...

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Dataset atc_data_loader downloaded and prepared to /remote/idiap.svm/temp.speech01/jzuluaga/experiments/journal/asr/github/w2v2-air-traffic/.cache/experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc//train/atc_data_loader/train-229a51d735ef0a2b/0.0.0/f2633cc53c6abe32cddd4152eebde1a4e3c9953e1446e190b8d9a13330cddaa4. Subsequent calls will reuse this data.
11/28/2022 08:10:24 - WARNING - datasets.builder - Using custom data configuration test-b7cef58c6dbd7d6c
Downloading and preparing dataset atc_data_loader/test to /remote/idiap.svm/temp.speech01/jzuluaga/experiments/journal/asr/github/w2v2-air-traffic/.cache/experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc//test/atc_data_loader/test-b7cef58c6dbd7d6c/0.0.0/f2633cc53c6abe32cddd4152eebde1a4e3c9953e1446e190b8d9a13330cddaa4...

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loading configuration file config.json from cache at /idiap/temp/jzuluaga/cache/huggingface/models--facebook--wav2vec2-large-960h-lv60-self/snapshots/54074b1c16f4de6a5ad59affb4caa8f2ea03a119/config.json
Model config Wav2Vec2Config {
  "_name_or_path": "facebook/wav2vec2-large-960h-lv60-self",
  "activation_dropout": 0.1,
  "adapter_kernel_size": 3,
  "adapter_stride": 2,
  "add_adapter": false,
  "apply_spec_augment": true,
  "architectures": [
    "Wav2Vec2ForCTC"
  ],
  "attention_dropout": 0.1,
  "bos_token_id": 1,
  "classifier_proj_size": 256,
  "codevector_dim": 256,
  "contrastive_logits_temperature": 0.1,
  "conv_bias": true,
  "conv_dim": [
    512,
    512,
    512,
    512,
    512,
    512,
    512
  ],
  "conv_kernel": [
    10,
    3,
    3,
    3,
    3,
    2,
    2
  ],
  "conv_stride": [
    5,
    2,
    2,
    2,
    2,
    2,
    2
  ],
  "ctc_loss_reduction": "sum",
  "ctc_zero_infinity": false,
  "diversity_loss_weight": 0.1,
  "do_stable_layer_norm": true,
  "eos_token_id": 2,
  "feat_extract_activation": "gelu",
  "feat_extract_dropout": 0.0,
  "feat_extract_norm": "layer",
  "feat_proj_dropout": 0.1,
  "feat_quantizer_dropout": 0.0,
  "final_dropout": 0.1,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout": 0.1,
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "layer_norm_eps": 1e-05,
  "layerdrop": 0.1,
  "mask_feature_length": 10,
  "mask_feature_min_masks": 0,
  "mask_feature_prob": 0.0,
  "mask_time_length": 10,
  "mask_time_min_masks": 2,
  "mask_time_prob": 0.05,
  "model_type": "wav2vec2",
  "num_adapter_layers": 3,
  "num_attention_heads": 16,
  "num_codevector_groups": 2,
  "num_codevectors_per_group": 320,
  "num_conv_pos_embedding_groups": 16,
  "num_conv_pos_embeddings": 128,
  "num_feat_extract_layers": 7,
  "num_hidden_layers": 24,
  "num_negatives": 100,
  "output_hidden_size": 1024,
  "pad_token_id": 0,
  "proj_codevector_dim": 256,
  "tdnn_dilation": [
    1,
    2,
    3,
    1,
    1
  ],
  "tdnn_dim": [
    512,
    512,
    512,
    512,
    1500
  ],
  "tdnn_kernel": [
    5,
    3,
    3,
    1,
    1
  ],
  "transformers_version": "4.24.0",
  "use_weighted_layer_sum": false,
  "vocab_size": 32,
  "xvector_output_dim": 512
}

Dataset atc_data_loader downloaded and prepared to /remote/idiap.svm/temp.speech01/jzuluaga/experiments/journal/asr/github/w2v2-air-traffic/.cache/experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc//test/atc_data_loader/test-b7cef58c6dbd7d6c/0.0.0/f2633cc53c6abe32cddd4152eebde1a4e3c9953e1446e190b8d9a13330cddaa4. Subsequent calls will reuse this data.

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loading file vocab.json
loading file tokenizer_config.json
loading file added_tokens.json
loading file special_tokens_map.json
Adding <s> to the vocabulary
Adding </s> to the vocabulary
Special tokens have been added in the vocabulary, make sure the associated word embeddings are fine-tuned or trained.
loading configuration file preprocessor_config.json from cache at /idiap/temp/jzuluaga/cache/huggingface/models--facebook--wav2vec2-large-960h-lv60-self/snapshots/54074b1c16f4de6a5ad59affb4caa8f2ea03a119/preprocessor_config.json
loading configuration file config.json from cache at /idiap/temp/jzuluaga/cache/huggingface/models--facebook--wav2vec2-large-960h-lv60-self/snapshots/54074b1c16f4de6a5ad59affb4caa8f2ea03a119/config.json
Model config Wav2Vec2Config {
  "_name_or_path": "facebook/wav2vec2-large-960h-lv60-self",
  "activation_dropout": 0.1,
  "adapter_kernel_size": 3,
  "adapter_stride": 2,
  "add_adapter": false,
  "apply_spec_augment": true,
  "architectures": [
    "Wav2Vec2ForCTC"
  ],
  "attention_dropout": 0.1,
  "bos_token_id": 1,
  "classifier_proj_size": 256,
  "codevector_dim": 256,
  "contrastive_logits_temperature": 0.1,
  "conv_bias": true,
  "conv_dim": [
    512,
    512,
    512,
    512,
    512,
    512,
    512
  ],
  "conv_kernel": [
    10,
    3,
    3,
    3,
    3,
    2,
    2
  ],
  "conv_stride": [
    5,
    2,
    2,
    2,
    2,
    2,
    2
  ],
  "ctc_loss_reduction": "sum",
  "ctc_zero_infinity": false,
  "diversity_loss_weight": 0.1,
  "do_stable_layer_norm": true,
  "eos_token_id": 2,
  "feat_extract_activation": "gelu",
  "feat_extract_dropout": 0.0,
  "feat_extract_norm": "layer",
  "feat_proj_dropout": 0.1,
  "feat_quantizer_dropout": 0.0,
  "final_dropout": 0.1,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout": 0.1,
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "layer_norm_eps": 1e-05,
  "layerdrop": 0.1,
  "mask_feature_length": 10,
  "mask_feature_min_masks": 0,
  "mask_feature_prob": 0.0,
  "mask_time_length": 10,
  "mask_time_min_masks": 2,
  "mask_time_prob": 0.05,
  "model_type": "wav2vec2",
  "num_adapter_layers": 3,
  "num_attention_heads": 16,
  "num_codevector_groups": 2,
  "num_codevectors_per_group": 320,
  "num_conv_pos_embedding_groups": 16,
  "num_conv_pos_embeddings": 128,
  "num_feat_extract_layers": 7,
  "num_hidden_layers": 24,
  "num_negatives": 100,
  "output_hidden_size": 1024,
  "pad_token_id": 0,
  "proj_codevector_dim": 256,
  "tdnn_dilation": [
    1,
    2,
    3,
    1,
    1
  ],
  "tdnn_dim": [
    512,
    512,
    512,
    512,
    1500
  ],
  "tdnn_kernel": [
    5,
    3,
    3,
    1,
    1
  ],
  "transformers_version": "4.24.0",
  "use_weighted_layer_sum": false,
  "vocab_size": 32,
  "xvector_output_dim": 512
}

Feature extractor Wav2Vec2FeatureExtractor {
  "do_normalize": true,
  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
  "feature_size": 1,
  "padding_side": "right",
  "padding_value": 0.0,
  "return_attention_mask": true,
  "sampling_rate": 16000
}

loading weights file pytorch_model.bin from cache at /idiap/temp/jzuluaga/cache/huggingface/models--facebook--wav2vec2-large-960h-lv60-self/snapshots/54074b1c16f4de6a5ad59affb4caa8f2ea03a119/pytorch_model.bin
All model checkpoint weights were used when initializing Wav2Vec2ForCTC.

Some weights of Wav2Vec2ForCTC were not initialized from the model checkpoint at facebook/wav2vec2-large-960h-lv60-self and are newly initialized: ['wav2vec2.masked_spec_embed']
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.
Some weights of Wav2Vec2ForCTC were not initialized from the model checkpoint at facebook/wav2vec2-large-960h-lv60-self and are newly initialized because the shapes did not match:
- lm_head.weight: found shape torch.Size([32, 1024]) in the checkpoint and torch.Size([31, 1024]) in the model instantiated
- lm_head.bias: found shape torch.Size([32]) in the checkpoint and torch.Size([31]) in the model instantiated
You should probably TRAIN this model on a down-stream task to be able to use it for predictions and inference.

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preprocess datasets #4:   0%|          | 0/3785 [00:00<?, ?ex/s]/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=8000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")
/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=32000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")
/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=32000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")
/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=8000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")
/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=32000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")





preprocess datasets #4:   0%|          | 1/3785 [00:02<2:35:40,  2.47s/ex]/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=8000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")



preprocess datasets #2:   0%|          | 1/3786 [00:02<2:38:06,  2.51s/ex]/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=32000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")




preprocess datasets #3:   0%|          | 1/3786 [00:02<2:38:15,  2.51s/ex]/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=8000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")

preprocess datasets #0:   0%|          | 1/3786 [00:02<2:41:07,  2.55s/ex]/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=32000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")


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preprocess datasets #4:   0%|          | 5/3785 [00:02<24:35,  2.56ex/s]  /idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=32000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")



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  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")





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preprocess datasets #4:   5%|▍         | 181/3785 [00:08<01:41, 35.62ex/s]



preprocess datasets #3:   5%|▍         | 179/3786 [00:08<01:56, 31.01ex/s]


preprocess datasets #2:   4%|▎         | 136/3786 [00:08<02:46, 21.94ex/s]
preprocess datasets #0:   2%|▏         | 69/3786 [00:08<04:36, 13.47ex/s]

preprocess datasets #1:   2%|▏         | 86/3786 [00:08<05:34, 11.06ex/s]




preprocess datasets #4:   5%|▍         | 187/3785 [00:08<01:27, 41.25ex/s]



preprocess datasets #3:   5%|▍         | 183/3786 [00:08<01:55, 31.08ex/s]


preprocess datasets #2:   4%|▎         | 139/3786 [00:08<02:35, 23.49ex/s]


preprocess datasets #2:   4%|▍         | 144/3786 [00:08<02:06, 28.76ex/s]
preprocess datasets #0:   2%|▏         | 71/3786 [00:08<04:48, 12.89ex/s]

preprocess datasets #1:   2%|▏         | 88/3786 [00:08<05:44, 10.73ex/s]



preprocess datasets #3:   5%|▍         | 187/3786 [00:08<02:13, 26.89ex/s]




preprocess datasets #4:   5%|▌         | 192/3785 [00:08<01:52, 31.98ex/s]


preprocess datasets #2:   4%|▍         | 147/3786 [00:08<02:08, 28.36ex/s]
preprocess datasets #0:   2%|▏         | 73/3786 [00:08<04:50, 12.77ex/s]



preprocess datasets #3:   5%|▌         | 190/3786 [00:08<02:28, 24.14ex/s]

preprocess datasets #1:   2%|▏         | 90/3786 [00:09<06:04, 10.14ex/s]




preprocess datasets #4:   5%|▌         | 196/3785 [00:08<02:07, 28.23ex/s]
preprocess datasets #0:   2%|▏         | 75/3786 [00:09<04:21, 14.17ex/s]


preprocess datasets #2:   4%|▍         | 150/3786 [00:09<02:29, 24.37ex/s]



preprocess datasets #3:   5%|▌         | 193/3786 [00:09<02:32, 23.56ex/s]




preprocess datasets #4:   5%|▌         | 200/3785 [00:09<02:01, 29.39ex/s]

preprocess datasets #1:   2%|▏         | 92/3786 [00:09<05:45, 10.70ex/s]


preprocess datasets #2:   4%|▍         | 153/3786 [00:09<02:41, 22.52ex/s]
preprocess datasets #0:   2%|▏         | 77/3786 [00:09<04:58, 12.42ex/s]




preprocess datasets #4:   5%|▌         | 205/3785 [00:09<01:54, 31.20ex/s]



preprocess datasets #3:   5%|▌         | 198/3786 [00:09<02:24, 24.76ex/s]


preprocess datasets #2:   4%|▍         | 158/3786 [00:09<02:19, 25.92ex/s]
preprocess datasets #0:   2%|▏         | 79/3786 [00:09<04:44, 13.04ex/s]

preprocess datasets #1:   2%|▏         | 94/3786 [00:09<06:00, 10.23ex/s]


preprocess datasets #2:   4%|▍         | 162/3786 [00:09<02:11, 27.63ex/s]



preprocess datasets #3:   5%|▌         | 201/3786 [00:09<02:37, 22.77ex/s]




preprocess datasets #4:   6%|▌         | 209/3785 [00:09<02:15, 26.44ex/s]
preprocess datasets #0:   2%|▏         | 81/3786 [00:09<05:08, 12.00ex/s]

preprocess datasets #1:   3%|▎         | 96/3786 [00:09<05:51, 10.51ex/s]


preprocess datasets #2:   4%|▍         | 165/3786 [00:09<02:16, 26.59ex/s]




preprocess datasets #4:   6%|▌         | 212/3785 [00:09<02:14, 26.58ex/s]



preprocess datasets #3:   5%|▌         | 205/3786 [00:09<02:34, 23.19ex/s]


preprocess datasets #2:   4%|▍         | 168/3786 [00:09<02:17, 26.32ex/s]

preprocess datasets #1:   3%|▎         | 98/3786 [00:09<05:39, 10.87ex/s]




preprocess datasets #4:   6%|▌         | 215/3785 [00:09<02:23, 24.85ex/s]



preprocess datasets #3:   6%|▌         | 209/3786 [00:09<02:17, 26.08ex/s]
preprocess datasets #0:   2%|▏         | 83/3786 [00:09<06:01, 10.24ex/s]


preprocess datasets #2:   5%|▍         | 173/3786 [00:09<01:57, 30.70ex/s]




preprocess datasets #4:   6%|▌         | 220/3785 [00:09<02:02, 29.13ex/s]



preprocess datasets #3:   6%|▌         | 212/3786 [00:09<02:27, 24.26ex/s]

preprocess datasets #1:   3%|▎         | 100/3786 [00:09<05:33, 11.06ex/s]


preprocess datasets #2:   5%|▍         | 177/3786 [00:09<01:50, 32.72ex/s]
preprocess datasets #0:   2%|▏         | 85/3786 [00:10<05:44, 10.74ex/s]




preprocess datasets #4:   6%|▌         | 224/3785 [00:10<02:11, 27.12ex/s]



preprocess datasets #3:   6%|▌         | 215/3786 [00:10<02:31, 23.56ex/s]


preprocess datasets #2:   5%|▍         | 182/3786 [00:10<01:47, 33.52ex/s]

preprocess datasets #1:   3%|▎         | 102/3786 [00:10<05:36, 10.94ex/s]




preprocess datasets #4:   6%|▌         | 227/3785 [00:10<02:09, 27.51ex/s]
preprocess datasets #0:   2%|▏         | 87/3786 [00:10<05:28, 11.25ex/s]



preprocess datasets #3:   6%|▌         | 218/3786 [00:10<02:30, 23.71ex/s]


preprocess datasets #2:   5%|▍         | 186/3786 [00:10<01:48, 33.12ex/s]

preprocess datasets #1:   3%|▎         | 104/3786 [00:10<05:20, 11.49ex/s]




preprocess datasets #4:   6%|▌         | 231/3785 [00:10<02:00, 29.54ex/s]



preprocess datasets #3:   6%|▌         | 221/3786 [00:10<02:21, 25.12ex/s]
preprocess datasets #0:   2%|▏         | 89/3786 [00:10<05:25, 11.37ex/s]


preprocess datasets #2:   5%|▌         | 190/3786 [00:10<02:00, 29.82ex/s]




preprocess datasets #4:   6%|▌         | 235/3785 [00:10<01:54, 30.94ex/s]



preprocess datasets #3:   6%|▌         | 225/3786 [00:10<02:14, 26.57ex/s]

preprocess datasets #1:   3%|▎         | 106/3786 [00:10<05:13, 11.73ex/s]
preprocess datasets #0:   2%|▏         | 91/3786 [00:10<05:17, 11.63ex/s]

preprocess datasets #1:   3%|▎         | 108/3786 [00:10<04:37, 13.27ex/s]



preprocess datasets #3:   6%|▌         | 230/3786 [00:10<01:55, 30.82ex/s]


preprocess datasets #2:   5%|▌         | 194/3786 [00:10<02:06, 28.33ex/s]




preprocess datasets #4:   6%|▋         | 239/3785 [00:10<02:05, 28.37ex/s]
preprocess datasets #0:   2%|▏         | 93/3786 [00:10<05:10, 11.90ex/s]


preprocess datasets #2:   5%|▌         | 197/3786 [00:10<02:12, 27.06ex/s]



preprocess datasets #3:   6%|▌         | 235/3786 [00:10<01:47, 32.90ex/s]




preprocess datasets #4:   6%|▋         | 243/3785 [00:10<02:00, 29.29ex/s]

preprocess datasets #1:   3%|▎         | 110/3786 [00:10<04:49, 12.72ex/s]




preprocess datasets #4:   7%|▋         | 248/3785 [00:10<01:46, 33.33ex/s]


preprocess datasets #2:   5%|▌         | 200/3786 [00:10<02:18, 25.84ex/s]



preprocess datasets #3:   6%|▋         | 239/3786 [00:10<02:02, 28.92ex/s]

preprocess datasets #1:   3%|▎         | 112/3786 [00:10<05:00, 12.21ex/s]
preprocess datasets #0:   3%|▎         | 95/3786 [00:10<05:46, 10.66ex/s]




preprocess datasets #4:   7%|▋         | 254/3785 [00:10<01:29, 39.48ex/s]


preprocess datasets #2:   5%|▌         | 205/3786 [00:10<02:07, 28.10ex/s]



preprocess datasets #3:   6%|▋         | 242/3786 [00:10<02:08, 27.65ex/s]

preprocess datasets #1:   3%|▎         | 114/3786 [00:10<04:26, 13.78ex/s]
preprocess datasets #0:   3%|▎         | 97/3786 [00:11<05:32, 11.09ex/s]


preprocess datasets #2:   5%|▌         | 208/3786 [00:11<02:09, 27.64ex/s]




preprocess datasets #4:   7%|▋         | 259/3785 [00:11<01:43, 34.15ex/s]



preprocess datasets #3:   6%|▋         | 245/3786 [00:11<02:14, 26.31ex/s]

preprocess datasets #1:   3%|▎         | 116/3786 [00:11<04:47, 12.75ex/s]
preprocess datasets #0:   3%|▎         | 99/3786 [00:11<05:09, 11.92ex/s]




preprocess datasets #4:   7%|▋         | 263/3785 [00:11<01:40, 35.04ex/s]


preprocess datasets #2:   6%|▌         | 211/3786 [00:11<02:19, 25.64ex/s]



preprocess datasets #3:   7%|▋         | 248/3786 [00:11<02:11, 26.82ex/s]


preprocess datasets #2:   6%|▌         | 214/3786 [00:11<02:19, 25.62ex/s]

preprocess datasets #1:   3%|▎         | 118/3786 [00:11<04:47, 12.75ex/s]




preprocess datasets #4:   7%|▋         | 267/3785 [00:11<01:45, 33.27ex/s]



preprocess datasets #3:   7%|▋         | 251/3786 [00:11<02:22, 24.80ex/s]
preprocess datasets #0:   3%|▎         | 101/3786 [00:11<05:17, 11.59ex/s]


preprocess datasets #2:   6%|▌         | 219/3786 [00:11<01:58, 30.21ex/s]




preprocess datasets #4:   7%|▋         | 272/3785 [00:11<01:42, 34.39ex/s]



preprocess datasets #3:   7%|▋         | 255/3786 [00:11<02:12, 26.73ex/s]

preprocess datasets #1:   3%|▎         | 120/3786 [00:11<04:56, 12.38ex/s]
preprocess datasets #0:   3%|▎         | 103/3786 [00:11<05:05, 12.06ex/s]


preprocess datasets #2:   6%|▌         | 224/3786 [00:11<01:48, 32.89ex/s]



preprocess datasets #3:   7%|▋         | 259/3786 [00:11<01:58, 29.84ex/s]




preprocess datasets #4:   7%|▋         | 276/3785 [00:11<01:46, 32.84ex/s]


preprocess datasets #2:   6%|▌         | 229/3786 [00:11<01:36, 37.04ex/s]
preprocess datasets #0:   3%|▎         | 106/3786 [00:11<04:25, 13.86ex/s]

preprocess datasets #1:   3%|▎         | 122/3786 [00:11<05:18, 11.51ex/s]




preprocess datasets #4:   7%|▋         | 280/3785 [00:11<01:43, 33.97ex/s]



preprocess datasets #3:   7%|▋         | 263/3786 [00:11<01:56, 30.34ex/s]


preprocess datasets #2:   6%|▌         | 234/3786 [00:11<01:33, 38.06ex/s]




preprocess datasets #4:   8%|▊         | 286/3785 [00:11<01:26, 40.44ex/s]



preprocess datasets #3:   7%|▋         | 269/3786 [00:11<01:36, 36.52ex/s]

preprocess datasets #1:   3%|▎         | 124/3786 [00:11<05:09, 11.85ex/s]
preprocess datasets #0:   3%|▎         | 108/3786 [00:11<04:36, 13.31ex/s]




preprocess datasets #4:   8%|▊         | 291/3785 [00:11<01:24, 41.59ex/s]



preprocess datasets #3:   7%|▋         | 273/3786 [00:11<01:37, 36.09ex/s]


preprocess datasets #2:   6%|▋         | 240/3786 [00:11<01:31, 38.72ex/s]

preprocess datasets #1:   3%|▎         | 126/3786 [00:12<05:05, 11.99ex/s]
preprocess datasets #0:   3%|▎         | 110/3786 [00:12<04:49, 12.69ex/s]




preprocess datasets #4:   8%|▊         | 296/3785 [00:12<01:29, 38.93ex/s]



preprocess datasets #3:   7%|▋         | 277/3786 [00:12<01:46, 33.10ex/s]


preprocess datasets #2:   6%|▋         | 244/3786 [00:12<01:49, 32.29ex/s]



preprocess datasets #3:   7%|▋         | 281/3786 [00:12<01:43, 33.93ex/s]

preprocess datasets #1:   3%|▎         | 128/3786 [00:12<05:18, 11.48ex/s]
preprocess datasets #0:   3%|▎         | 112/3786 [00:12<05:15, 11.66ex/s]


preprocess datasets #2:   7%|▋         | 248/3786 [00:12<01:49, 32.44ex/s]




preprocess datasets #4:   8%|▊         | 301/3785 [00:12<01:41, 34.34ex/s]



preprocess datasets #3:   8%|▊         | 285/3786 [00:12<01:39, 35.24ex/s]




preprocess datasets #4:   8%|▊         | 305/3785 [00:12<01:50, 31.53ex/s]


preprocess datasets #2:   7%|▋         | 252/3786 [00:12<02:00, 29.24ex/s]
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preprocess datasets #3:   8%|▊         | 289/3786 [00:12<01:59, 29.33ex/s]

preprocess datasets #1:   3%|▎         | 130/3786 [00:12<06:25,  9.49ex/s]




preprocess datasets #4:   8%|▊         | 309/3785 [00:12<01:46, 32.53ex/s]


preprocess datasets #2:   7%|▋         | 256/3786 [00:12<02:03, 28.47ex/s]




preprocess datasets #4:   8%|▊         | 313/3785 [00:12<01:46, 32.66ex/s]
preprocess datasets #0:   3%|▎         | 116/3786 [00:12<05:51, 10.46ex/s]



preprocess datasets #3:   8%|▊         | 293/3786 [00:12<02:14, 26.01ex/s]

preprocess datasets #1:   3%|▎         | 132/3786 [00:12<06:08,  9.93ex/s]


preprocess datasets #2:   7%|▋         | 259/3786 [00:12<02:15, 26.09ex/s]



preprocess datasets #3:   8%|▊         | 296/3786 [00:12<02:09, 26.86ex/s]




preprocess datasets #4:   8%|▊         | 317/3785 [00:12<01:52, 30.83ex/s]
preprocess datasets #0:   3%|▎         | 118/3786 [00:12<05:31, 11.06ex/s]


preprocess datasets #2:   7%|▋         | 262/3786 [00:12<02:22, 24.76ex/s]

preprocess datasets #1:   4%|▎         | 134/3786 [00:12<06:16,  9.70ex/s]




preprocess datasets #4:   9%|▊         | 322/3785 [00:12<01:41, 33.96ex/s]
preprocess datasets #0:   3%|▎         | 120/3786 [00:12<05:22, 11.38ex/s]


preprocess datasets #2:   7%|▋         | 266/3786 [00:12<02:16, 25.86ex/s]



preprocess datasets #3:   8%|▊         | 299/3786 [00:12<02:42, 21.52ex/s]




preprocess datasets #4:   9%|▊         | 326/3785 [00:13<01:46, 32.33ex/s]

preprocess datasets #1:   4%|▎         | 136/3786 [00:13<06:07,  9.94ex/s]
preprocess datasets #0:   3%|▎         | 122/3786 [00:13<04:54, 12.46ex/s]



preprocess datasets #3:   8%|▊         | 304/3786 [00:13<02:07, 27.34ex/s]


preprocess datasets #2:   7%|▋         | 269/3786 [00:13<02:14, 26.23ex/s]



preprocess datasets #3:   8%|▊         | 308/3786 [00:13<01:57, 29.69ex/s]




preprocess datasets #4:   9%|▊         | 330/3785 [00:13<01:58, 29.14ex/s]


preprocess datasets #2:   7%|▋         | 272/3786 [00:13<02:16, 25.74ex/s]
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preprocess datasets #1:   4%|▎         | 138/3786 [00:13<05:54, 10.29ex/s]


preprocess datasets #2:   7%|▋         | 275/3786 [00:13<02:22, 24.70ex/s]



preprocess datasets #3:   8%|▊         | 312/3786 [00:13<02:06, 27.39ex/s]
preprocess datasets #0:   3%|▎         | 126/3786 [00:13<04:45, 12.80ex/s]




preprocess datasets #4:   9%|▉         | 334/3785 [00:13<02:09, 26.55ex/s]

preprocess datasets #1:   4%|▎         | 140/3786 [00:13<05:42, 10.64ex/s]


preprocess datasets #2:   7%|▋         | 278/3786 [00:13<02:37, 22.23ex/s]




preprocess datasets #4:   9%|▉         | 337/3785 [00:13<02:18, 24.89ex/s]



preprocess datasets #3:   8%|▊         | 316/3786 [00:13<02:12, 26.11ex/s]
preprocess datasets #0:   3%|▎         | 128/3786 [00:13<04:52, 12.49ex/s]

preprocess datasets #1:   4%|▍         | 142/3786 [00:13<05:35, 10.87ex/s]


preprocess datasets #2:   7%|▋         | 283/3786 [00:13<02:11, 26.71ex/s]




preprocess datasets #4:   9%|▉         | 341/3785 [00:13<02:07, 26.92ex/s]



preprocess datasets #3:   8%|▊         | 320/3786 [00:13<02:03, 28.03ex/s]
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preprocess datasets #3:   9%|▊         | 323/3786 [00:13<02:02, 28.31ex/s]




preprocess datasets #4:   9%|▉         | 344/3785 [00:13<02:09, 26.55ex/s]


preprocess datasets #2:   8%|▊         | 286/3786 [00:13<02:15, 25.83ex/s]

preprocess datasets #1:   4%|▍         | 144/3786 [00:13<05:33, 10.91ex/s]
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preprocess datasets #3:   9%|▊         | 327/3786 [00:13<01:55, 29.97ex/s]




preprocess datasets #4:   9%|▉         | 348/3785 [00:13<01:59, 28.76ex/s]


preprocess datasets #2:   8%|▊         | 289/3786 [00:13<02:26, 23.86ex/s]

preprocess datasets #1:   4%|▍         | 146/3786 [00:13<05:24, 11.23ex/s]
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preprocess datasets #4:   9%|▉         | 351/3785 [00:13<02:00, 28.43ex/s]



preprocess datasets #3:   9%|▉         | 332/3786 [00:13<01:45, 32.87ex/s]


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preprocess datasets #4:   9%|▉         | 354/3785 [00:14<02:00, 28.42ex/s]



preprocess datasets #3:   9%|▉         | 337/3786 [00:14<01:33, 37.00ex/s]

preprocess datasets #1:   4%|▍         | 148/3786 [00:14<05:25, 11.16ex/s]
preprocess datasets #0:   4%|▎         | 137/3786 [00:14<03:59, 15.22ex/s]


preprocess datasets #2:   8%|▊         | 296/3786 [00:14<02:12, 26.44ex/s]




preprocess datasets #4:   9%|▉         | 357/3785 [00:14<02:04, 27.46ex/s]



preprocess datasets #3:   9%|▉         | 343/3786 [00:14<01:23, 41.27ex/s]


preprocess datasets #2:   8%|▊         | 300/3786 [00:14<02:01, 28.70ex/s]
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preprocess datasets #4:  10%|▉         | 362/3785 [00:14<01:42, 33.38ex/s]

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preprocess datasets #3:   9%|▉         | 348/3786 [00:14<01:27, 39.24ex/s]


preprocess datasets #2:   8%|▊         | 304/3786 [00:14<01:53, 30.70ex/s]




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preprocess datasets #3:   9%|▉         | 353/3786 [00:14<01:25, 40.14ex/s]
preprocess datasets #0:   4%|▎         | 141/3786 [00:14<04:46, 12.73ex/s]


preprocess datasets #2:   8%|▊         | 308/3786 [00:14<01:55, 30.14ex/s]

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preprocess datasets #4:  10%|▉         | 373/3785 [00:14<01:30, 37.78ex/s]



preprocess datasets #3:  10%|▉         | 360/3786 [00:14<01:16, 44.88ex/s]


preprocess datasets #2:   8%|▊         | 312/3786 [00:14<02:02, 28.37ex/s]




preprocess datasets #4:  10%|▉         | 378/3785 [00:14<01:25, 39.68ex/s]

preprocess datasets #1:   4%|▍         | 154/3786 [00:14<05:33, 10.88ex/s]
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preprocess datasets #3:  10%|▉         | 365/3786 [00:14<01:19, 43.12ex/s]




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preprocess datasets #3:  10%|▉         | 370/3786 [00:14<01:16, 44.40ex/s]
preprocess datasets #0:   4%|▍         | 145/3786 [00:14<05:21, 11.31ex/s]




preprocess datasets #4:  10%|█         | 389/3785 [00:14<01:20, 42.15ex/s]



preprocess datasets #3:  10%|▉         | 375/3786 [00:14<01:18, 43.52ex/s]


preprocess datasets #2:   8%|▊         | 319/3786 [00:14<02:09, 26.69ex/s]

preprocess datasets #1:   4%|▍         | 156/3786 [00:14<06:24,  9.43ex/s]




preprocess datasets #4:  10%|█         | 395/3785 [00:15<01:16, 44.39ex/s]



preprocess datasets #3:  10%|█         | 380/3786 [00:15<01:17, 44.15ex/s]


preprocess datasets #2:   9%|▊         | 323/3786 [00:15<01:59, 28.86ex/s]

preprocess datasets #1:   4%|▍         | 158/3786 [00:15<05:52, 10.30ex/s]
preprocess datasets #0:   4%|▍         | 147/3786 [00:15<05:55, 10.24ex/s]


preprocess datasets #2:   9%|▊         | 327/3786 [00:15<01:52, 30.74ex/s]



preprocess datasets #3:  10%|█         | 385/3786 [00:15<01:19, 42.57ex/s]




preprocess datasets #4:  11%|█         | 400/3785 [00:15<01:25, 39.81ex/s]


preprocess datasets #2:   9%|▉         | 332/3786 [00:15<01:37, 35.54ex/s]



preprocess datasets #3:  10%|█         | 390/3786 [00:15<01:24, 40.04ex/s]
preprocess datasets #0:   4%|▍         | 149/3786 [00:15<06:08,  9.86ex/s]


preprocess datasets #2:   9%|▉         | 336/3786 [00:15<01:36, 35.59ex/s]

preprocess datasets #1:   4%|▍         | 160/3786 [00:15<06:45,  8.95ex/s]




preprocess datasets #4:  11%|█         | 405/3785 [00:15<01:49, 30.86ex/s]


preprocess datasets #2:   9%|▉         | 340/3786 [00:15<01:34, 36.60ex/s]



preprocess datasets #3:  10%|█         | 395/3786 [00:15<01:33, 36.38ex/s]
preprocess datasets #0:   4%|▍         | 151/3786 [00:15<05:48, 10.43ex/s]




preprocess datasets #4:  11%|█         | 409/3785 [00:15<01:53, 29.67ex/s]

preprocess datasets #1:   4%|▍         | 162/3786 [00:15<06:27,  9.35ex/s]


preprocess datasets #2:   9%|▉         | 344/3786 [00:15<01:48, 31.76ex/s]



preprocess datasets #3:  11%|█         | 399/3786 [00:15<01:50, 30.57ex/s]
preprocess datasets #0:   4%|▍         | 153/3786 [00:15<05:39, 10.71ex/s]

preprocess datasets #1:   4%|▍         | 163/3786 [00:15<06:42,  9.00ex/s]




preprocess datasets #4:  11%|█         | 413/3785 [00:15<01:58, 28.56ex/s]


preprocess datasets #2:   9%|▉         | 348/3786 [00:15<01:46, 32.39ex/s]



preprocess datasets #3:  11%|█         | 403/3786 [00:15<02:01, 27.95ex/s]
preprocess datasets #0:   4%|▍         | 155/3786 [00:15<05:31, 10.96ex/s]




preprocess datasets #4:  11%|█         | 417/3785 [00:15<01:54, 29.33ex/s]


preprocess datasets #2:   9%|▉         | 352/3786 [00:15<01:42, 33.63ex/s]

preprocess datasets #1:   4%|▍         | 165/3786 [00:15<06:18,  9.57ex/s]



preprocess datasets #3:  11%|█         | 407/3786 [00:15<01:54, 29.42ex/s]




preprocess datasets #4:  11%|█         | 423/3785 [00:15<01:34, 35.62ex/s]
preprocess datasets #0:   4%|▍         | 157/3786 [00:16<05:24, 11.18ex/s]


preprocess datasets #2:   9%|▉         | 356/3786 [00:16<01:57, 29.31ex/s]



preprocess datasets #3:  11%|█         | 411/3786 [00:16<01:50, 30.44ex/s]

preprocess datasets #1:   4%|▍         | 167/3786 [00:16<06:05,  9.89ex/s]




preprocess datasets #4:  11%|█▏        | 427/3785 [00:16<01:46, 31.54ex/s]


preprocess datasets #2:  10%|▉         | 360/3786 [00:16<01:57, 29.13ex/s]
preprocess datasets #0:   4%|▍         | 159/3786 [00:16<05:24, 11.19ex/s]




preprocess datasets #4:  11%|█▏        | 431/3785 [00:16<01:44, 32.14ex/s]



preprocess datasets #3:  11%|█         | 415/3786 [00:16<02:01, 27.79ex/s]

preprocess datasets #1:   4%|▍         | 169/3786 [00:16<05:53, 10.23ex/s]


preprocess datasets #2:  10%|▉         | 365/3786 [00:16<01:40, 33.88ex/s]
preprocess datasets #0:   4%|▍         | 162/3786 [00:16<04:12, 14.33ex/s]



preprocess datasets #3:  11%|█         | 419/3786 [00:16<01:52, 29.85ex/s]




preprocess datasets #4:  11%|█▏        | 435/3785 [00:16<01:43, 32.52ex/s]

preprocess datasets #1:   5%|▍         | 171/3786 [00:16<05:13, 11.52ex/s]


preprocess datasets #2:  10%|▉         | 369/3786 [00:16<01:40, 33.98ex/s]




preprocess datasets #4:  12%|█▏        | 439/3785 [00:16<01:39, 33.68ex/s]
preprocess datasets #0:   4%|▍         | 164/3786 [00:16<04:37, 13.03ex/s]



preprocess datasets #3:  11%|█         | 423/3786 [00:16<01:54, 29.38ex/s]


preprocess datasets #2:  10%|▉         | 375/3786 [00:16<01:26, 39.64ex/s]

preprocess datasets #1:   5%|▍         | 173/3786 [00:16<05:18, 11.35ex/s]




preprocess datasets #4:  12%|█▏        | 443/3785 [00:16<01:39, 33.57ex/s]



preprocess datasets #3:  11%|█▏        | 427/3786 [00:16<01:52, 29.84ex/s]
preprocess datasets #0:   4%|▍         | 166/3786 [00:16<04:38, 12.98ex/s]




preprocess datasets #4:  12%|█▏        | 449/3785 [00:16<01:25, 39.05ex/s]


preprocess datasets #2:  10%|█         | 380/3786 [00:16<01:43, 32.97ex/s]



preprocess datasets #3:  11%|█▏        | 431/3786 [00:16<01:44, 32.23ex/s]

preprocess datasets #1:   5%|▍         | 175/3786 [00:16<05:43, 10.51ex/s]




preprocess datasets #4:  12%|█▏        | 454/3785 [00:16<01:22, 40.34ex/s]
preprocess datasets #0:   4%|▍         | 168/3786 [00:16<04:58, 12.10ex/s]



preprocess datasets #3:  12%|█▏        | 436/3786 [00:16<01:37, 34.50ex/s]




preprocess datasets #4:  12%|█▏        | 459/3785 [00:16<01:17, 42.68ex/s]


preprocess datasets #2:  10%|█         | 384/3786 [00:16<02:07, 26.66ex/s]

preprocess datasets #1:   5%|▍         | 177/3786 [00:17<05:31, 10.89ex/s]



preprocess datasets #3:  12%|█▏        | 441/3786 [00:17<01:35, 34.89ex/s]
preprocess datasets #0:   4%|▍         | 170/3786 [00:17<05:14, 11.51ex/s]




preprocess datasets #4:  12%|█▏        | 464/3785 [00:17<01:18, 42.52ex/s]


preprocess datasets #2:  10%|█         | 388/3786 [00:17<02:02, 27.82ex/s]



preprocess datasets #3:  12%|█▏        | 445/3786 [00:17<01:33, 35.79ex/s]
preprocess datasets #0:   5%|▍         | 172/3786 [00:17<05:10, 11.63ex/s]

preprocess datasets #1:   5%|▍         | 179/3786 [00:17<06:09,  9.76ex/s]



preprocess datasets #3:  12%|█▏        | 451/3786 [00:17<01:25, 39.06ex/s]


preprocess datasets #2:  10%|█         | 392/3786 [00:17<02:08, 26.36ex/s]




preprocess datasets #4:  12%|█▏        | 469/3785 [00:17<01:33, 35.32ex/s]
preprocess datasets #0:   5%|▍         | 174/3786 [00:17<04:50, 12.45ex/s]



preprocess datasets #3:  12%|█▏        | 455/3786 [00:17<01:28, 37.60ex/s]

preprocess datasets #1:   5%|▍         | 181/3786 [00:17<05:36, 10.72ex/s]


preprocess datasets #2:  10%|█         | 397/3786 [00:17<02:00, 28.19ex/s]




preprocess datasets #4:  12%|█▏        | 473/3785 [00:17<01:43, 32.03ex/s]



preprocess datasets #3:  12%|█▏        | 459/3786 [00:17<01:35, 34.80ex/s]


preprocess datasets #2:  11%|█         | 401/3786 [00:17<01:54, 29.61ex/s]




preprocess datasets #4:  13%|█▎        | 477/3785 [00:17<01:46, 30.94ex/s]
preprocess datasets #0:   5%|▍         | 176/3786 [00:17<05:32, 10.86ex/s]



preprocess datasets #3:  12%|█▏        | 463/3786 [00:17<01:34, 35.13ex/s]

preprocess datasets #1:   5%|▍         | 183/3786 [00:17<06:09,  9.76ex/s]




preprocess datasets #4:  13%|█▎        | 481/3785 [00:17<01:49, 30.21ex/s]


preprocess datasets #2:  11%|█         | 405/3786 [00:17<02:07, 26.54ex/s]



preprocess datasets #3:  12%|█▏        | 467/3786 [00:17<01:35, 34.75ex/s]

preprocess datasets #1:   5%|▍         | 185/3786 [00:17<05:36, 10.69ex/s]
preprocess datasets #0:   5%|▍         | 178/3786 [00:17<05:26, 11.05ex/s]




preprocess datasets #4:  13%|█▎        | 486/3785 [00:17<01:38, 33.40ex/s]


preprocess datasets #2:  11%|█         | 408/3786 [00:17<02:07, 26.60ex/s]



preprocess datasets #3:  12%|█▏        | 471/3786 [00:17<01:46, 31.08ex/s]




preprocess datasets #4:  13%|█▎        | 492/3785 [00:17<01:24, 39.18ex/s]
preprocess datasets #0:   5%|▍         | 180/3786 [00:17<05:14, 11.48ex/s]

preprocess datasets #1:   5%|▍         | 187/3786 [00:18<05:58, 10.04ex/s]


preprocess datasets #2:  11%|█         | 412/3786 [00:18<02:15, 24.88ex/s]



preprocess datasets #3:  13%|█▎        | 476/3786 [00:18<01:40, 33.00ex/s]




preprocess datasets #4:  13%|█▎        | 498/3785 [00:18<01:16, 42.90ex/s]



preprocess datasets #3:  13%|█▎        | 480/3786 [00:18<01:43, 32.09ex/s]


preprocess datasets #2:  11%|█         | 415/3786 [00:18<02:24, 23.28ex/s]
preprocess datasets #0:   5%|▍         | 182/3786 [00:18<05:54, 10.18ex/s]




preprocess datasets #4:  13%|█▎        | 503/3785 [00:18<01:23, 39.29ex/s]

preprocess datasets #1:   5%|▍         | 189/3786 [00:18<06:03,  9.90ex/s]



preprocess datasets #3:  13%|█▎        | 485/3786 [00:18<01:39, 33.02ex/s]


preprocess datasets #2:  11%|█         | 418/3786 [00:18<02:27, 22.86ex/s]




preprocess datasets #4:  13%|█▎        | 508/3785 [00:18<01:24, 38.61ex/s]

preprocess datasets #1:   5%|▌         | 191/3786 [00:18<05:26, 11.02ex/s]
preprocess datasets #0:   5%|▍         | 184/3786 [00:18<05:37, 10.67ex/s]




preprocess datasets #4:  14%|█▎        | 512/3785 [00:18<01:25, 38.47ex/s]



preprocess datasets #3:  13%|█▎        | 489/3786 [00:18<01:44, 31.61ex/s]


preprocess datasets #2:  11%|█         | 421/3786 [00:18<02:31, 22.18ex/s]
preprocess datasets #0:   5%|▍         | 186/3786 [00:18<05:28, 10.95ex/s]

preprocess datasets #1:   5%|▌         | 193/3786 [00:18<05:40, 10.55ex/s]



preprocess datasets #3:  13%|█▎        | 494/3786 [00:18<01:32, 35.44ex/s]




preprocess datasets #4:  14%|█▎        | 516/3785 [00:18<01:31, 35.61ex/s]


preprocess datasets #2:  11%|█         | 425/3786 [00:18<02:16, 24.60ex/s]



preprocess datasets #3:  13%|█▎        | 499/3786 [00:18<01:24, 38.85ex/s]
preprocess datasets #0:   5%|▍         | 188/3786 [00:18<05:13, 11.49ex/s]


preprocess datasets #2:  11%|█▏        | 431/3786 [00:18<01:43, 32.44ex/s]

preprocess datasets #1:   5%|▌         | 195/3786 [00:18<05:21, 11.19ex/s]




preprocess datasets #4:  14%|█▍        | 521/3785 [00:18<01:36, 33.74ex/s]


preprocess datasets #2:  12%|█▏        | 436/3786 [00:18<01:32, 36.28ex/s]




preprocess datasets #4:  14%|█▍        | 525/3785 [00:18<01:37, 33.61ex/s]



preprocess datasets #3:  13%|█▎        | 504/3786 [00:18<01:39, 33.02ex/s]
preprocess datasets #0:   5%|▌         | 191/3786 [00:18<04:44, 12.66ex/s]

preprocess datasets #1:   5%|▌         | 197/3786 [00:18<05:24, 11.05ex/s]


preprocess datasets #2:  12%|█▏        | 442/3786 [00:18<01:22, 40.44ex/s]



preprocess datasets #3:  13%|█▎        | 508/3786 [00:18<01:41, 32.45ex/s]
preprocess datasets #0:   5%|▌         | 193/3786 [00:19<04:50, 12.36ex/s]


preprocess datasets #2:  12%|█▏        | 447/3786 [00:19<01:25, 38.88ex/s]




preprocess datasets #4:  14%|█▍        | 529/3785 [00:19<01:56, 28.06ex/s]

preprocess datasets #1:   5%|▌         | 199/3786 [00:19<05:55, 10.10ex/s]



preprocess datasets #3:  14%|█▎        | 512/3786 [00:19<01:48, 30.11ex/s]


preprocess datasets #2:  12%|█▏        | 452/3786 [00:19<01:31, 36.47ex/s]




preprocess datasets #4:  14%|█▍        | 532/3785 [00:19<02:09, 25.19ex/s]
preprocess datasets #0:   5%|▌         | 195/3786 [00:19<05:07, 11.69ex/s]

preprocess datasets #1:   5%|▌         | 201/3786 [00:19<05:51, 10.19ex/s]



preprocess datasets #3:  14%|█▎        | 516/3786 [00:19<02:03, 26.53ex/s]




preprocess datasets #4:  14%|█▍        | 537/3785 [00:19<01:52, 28.77ex/s]


preprocess datasets #2:  12%|█▏        | 456/3786 [00:19<01:41, 32.78ex/s]
preprocess datasets #0:   5%|▌         | 197/3786 [00:19<05:07, 11.67ex/s]



preprocess datasets #3:  14%|█▎        | 519/3786 [00:19<02:04, 26.34ex/s]


preprocess datasets #2:  12%|█▏        | 461/3786 [00:19<01:37, 34.09ex/s]




preprocess datasets #4:  14%|█▍        | 541/3785 [00:19<02:01, 26.62ex/s]



preprocess datasets #3:  14%|█▍        | 522/3786 [00:19<02:02, 26.74ex/s]
preprocess datasets #0:   5%|▌         | 200/3786 [00:19<04:21, 13.73ex/s]

preprocess datasets #1:   5%|▌         | 203/3786 [00:19<06:35,  9.06ex/s]


preprocess datasets #2:  12%|█▏        | 465/3786 [00:19<01:38, 33.68ex/s]




preprocess datasets #4:  14%|█▍        | 544/3785 [00:19<02:04, 26.13ex/s]



preprocess datasets #3:  14%|█▍        | 525/3786 [00:19<02:02, 26.59ex/s]


preprocess datasets #2:  12%|█▏        | 469/3786 [00:19<01:40, 33.08ex/s]




preprocess datasets #4:  14%|█▍        | 547/3785 [00:19<02:02, 26.45ex/s]

preprocess datasets #1:   5%|▌         | 205/3786 [00:19<06:06,  9.78ex/s]
preprocess datasets #0:   5%|▌         | 202/3786 [00:19<04:51, 12.31ex/s]



preprocess datasets #3:  14%|█▍        | 529/3786 [00:19<01:54, 28.37ex/s]




preprocess datasets #4:  15%|█▍        | 552/3785 [00:19<01:43, 31.24ex/s]


preprocess datasets #2:  13%|█▎        | 474/3786 [00:19<01:33, 35.50ex/s]



preprocess datasets #3:  14%|█▍        | 533/3786 [00:19<01:49, 29.79ex/s]
preprocess datasets #0:   5%|▌         | 204/3786 [00:19<04:48, 12.40ex/s]

preprocess datasets #1:   5%|▌         | 207/3786 [00:19<05:57, 10.01ex/s]


preprocess datasets #2:  13%|█▎        | 478/3786 [00:19<01:34, 34.84ex/s]




preprocess datasets #4:  15%|█▍        | 556/3785 [00:19<01:44, 30.75ex/s]



preprocess datasets #3:  14%|█▍        | 537/3786 [00:20<02:01, 26.78ex/s]




preprocess datasets #4:  15%|█▍        | 562/3785 [00:20<01:27, 36.72ex/s]
preprocess datasets #0:   5%|▌         | 206/3786 [00:20<05:05, 11.72ex/s]


preprocess datasets #2:  13%|█▎        | 482/3786 [00:20<01:47, 30.82ex/s]



preprocess datasets #3:  14%|█▍        | 543/3786 [00:20<01:38, 32.89ex/s]

preprocess datasets #1:   6%|▌         | 209/3786 [00:20<06:36,  9.02ex/s]




preprocess datasets #4:  15%|█▍        | 566/3785 [00:20<01:37, 32.97ex/s]


preprocess datasets #2:  13%|█▎        | 486/3786 [00:20<01:50, 29.98ex/s]
preprocess datasets #0:   5%|▌         | 208/3786 [00:20<05:11, 11.47ex/s]



preprocess datasets #3:  14%|█▍        | 547/3786 [00:20<01:40, 32.14ex/s]

preprocess datasets #1:   6%|▌         | 210/3786 [00:20<06:52,  8.67ex/s]




preprocess datasets #4:  15%|█▌        | 571/3785 [00:20<01:32, 34.85ex/s]


preprocess datasets #2:  13%|█▎        | 490/3786 [00:20<02:02, 27.01ex/s]
preprocess datasets #0:   6%|▌         | 210/3786 [00:20<05:29, 10.87ex/s]



preprocess datasets #3:  15%|█▍        | 551/3786 [00:20<01:52, 28.79ex/s]




preprocess datasets #4:  15%|█▌        | 575/3785 [00:20<01:41, 31.74ex/s]

preprocess datasets #1:   6%|▌         | 212/3786 [00:20<06:32,  9.10ex/s]


preprocess datasets #2:  13%|█▎        | 493/3786 [00:20<02:00, 27.38ex/s]




preprocess datasets #4:  15%|█▌        | 579/3785 [00:20<01:35, 33.66ex/s]

preprocess datasets #1:   6%|▌         | 213/3786 [00:20<06:43,  8.86ex/s]



preprocess datasets #3:  15%|█▍        | 555/3786 [00:20<02:03, 26.10ex/s]


preprocess datasets #2:  13%|█▎        | 496/3786 [00:20<02:07, 25.71ex/s]
preprocess datasets #0:   6%|▌         | 212/3786 [00:20<05:48, 10.27ex/s]




preprocess datasets #4:  15%|█▌        | 583/3785 [00:20<01:43, 30.98ex/s]



preprocess datasets #3:  15%|█▍        | 558/3786 [00:20<02:00, 26.87ex/s]


preprocess datasets #2:  13%|█▎        | 499/3786 [00:20<02:12, 24.78ex/s]
preprocess datasets #0:   6%|▌         | 214/3786 [00:20<05:19, 11.19ex/s]

preprocess datasets #1:   6%|▌         | 215/3786 [00:20<06:41,  8.89ex/s]




preprocess datasets #4:  16%|█▌        | 587/3785 [00:20<01:39, 32.21ex/s]



preprocess datasets #3:  15%|█▍        | 561/3786 [00:20<02:01, 26.53ex/s]


preprocess datasets #2:  13%|█▎        | 503/3786 [00:20<02:04, 26.34ex/s]

preprocess datasets #1:   6%|▌         | 216/3786 [00:21<06:55,  8.60ex/s]
preprocess datasets #0:   6%|▌         | 216/3786 [00:21<05:12, 11.42ex/s]




preprocess datasets #4:  16%|█▌        | 591/3785 [00:21<01:45, 30.41ex/s]



preprocess datasets #3:  15%|█▍        | 564/3786 [00:21<02:06, 25.39ex/s]


preprocess datasets #2:  13%|█▎        | 507/3786 [00:21<02:00, 27.31ex/s]




preprocess datasets #4:  16%|█▌        | 595/3785 [00:21<01:38, 32.43ex/s]



preprocess datasets #3:  15%|█▌        | 568/3786 [00:21<01:58, 27.20ex/s]

preprocess datasets #1:   6%|▌         | 218/3786 [00:21<06:06,  9.73ex/s]
preprocess datasets #0:   6%|▌         | 219/3786 [00:21<04:25, 13.44ex/s]


preprocess datasets #2:  13%|█▎        | 511/3786 [00:21<01:55, 28.26ex/s]




preprocess datasets #4:  16%|█▌        | 599/3785 [00:21<01:40, 31.83ex/s]



preprocess datasets #3:  15%|█▌        | 572/3786 [00:21<01:54, 28.03ex/s]


preprocess datasets #2:  14%|█▎        | 514/3786 [00:21<01:54, 28.53ex/s]
preprocess datasets #0:   6%|▌         | 221/3786 [00:21<04:36, 12.89ex/s]

preprocess datasets #1:   6%|▌         | 220/3786 [00:21<05:52, 10.11ex/s]




preprocess datasets #4:  16%|█▌        | 603/3785 [00:21<01:34, 33.56ex/s]



preprocess datasets #3:  15%|█▌        | 575/3786 [00:21<01:57, 27.28ex/s]


preprocess datasets #2:  14%|█▎        | 517/3786 [00:21<01:57, 27.92ex/s]




preprocess datasets #4:  16%|█▌        | 608/3785 [00:21<01:24, 37.62ex/s]

preprocess datasets #1:   6%|▌         | 222/3786 [00:21<05:33, 10.68ex/s]



preprocess datasets #3:  15%|█▌        | 578/3786 [00:21<01:56, 27.63ex/s]


preprocess datasets #2:  14%|█▍        | 521/3786 [00:21<01:49, 29.93ex/s]




preprocess datasets #4:  16%|█▌        | 613/3785 [00:21<01:18, 40.53ex/s]
preprocess datasets #0:   6%|▌         | 223/3786 [00:21<05:16, 11.26ex/s]



preprocess datasets #3:  15%|█▌        | 581/3786 [00:21<02:09, 24.66ex/s]

preprocess datasets #1:   6%|▌         | 224/3786 [00:21<05:32, 10.71ex/s]




preprocess datasets #4:  16%|█▋        | 618/3785 [00:21<01:18, 40.43ex/s]


preprocess datasets #2:  14%|█▍        | 525/3786 [00:21<01:53, 28.71ex/s]



preprocess datasets #3:  15%|█▌        | 585/3786 [00:21<01:58, 26.96ex/s]


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preprocess datasets #4:  16%|█▋        | 623/3785 [00:21<01:20, 39.13ex/s]
preprocess datasets #0:   6%|▌         | 225/3786 [00:21<06:21,  9.33ex/s]


preprocess datasets #2:  14%|█▍        | 532/3786 [00:21<01:45, 30.98ex/s]

preprocess datasets #1:   6%|▌         | 226/3786 [00:21<05:50, 10.14ex/s]



preprocess datasets #3:  16%|█▌        | 588/3786 [00:21<02:06, 25.20ex/s]




preprocess datasets #4:  17%|█▋        | 630/3785 [00:21<01:08, 46.31ex/s]
preprocess datasets #0:   6%|▌         | 227/3786 [00:22<05:58,  9.93ex/s]


preprocess datasets #2:  14%|█▍        | 538/3786 [00:22<01:33, 34.63ex/s]

preprocess datasets #1:   6%|▌         | 228/3786 [00:22<05:19, 11.13ex/s]



preprocess datasets #3:  16%|█▌        | 593/3786 [00:22<01:56, 27.47ex/s]




preprocess datasets #4:  17%|█▋        | 635/3785 [00:22<01:22, 38.37ex/s]

preprocess datasets #1:   6%|▌         | 230/3786 [00:22<04:57, 11.96ex/s]



preprocess datasets #3:  16%|█▌        | 596/3786 [00:22<01:56, 27.49ex/s]


preprocess datasets #2:  14%|█▍        | 542/3786 [00:22<01:41, 31.85ex/s]
preprocess datasets #0:   6%|▌         | 229/3786 [00:22<05:47, 10.22ex/s]




preprocess datasets #4:  17%|█▋        | 640/3785 [00:22<01:28, 35.49ex/s]

preprocess datasets #1:   6%|▌         | 232/3786 [00:22<04:27, 13.30ex/s]



preprocess datasets #3:  16%|█▌        | 600/3786 [00:22<01:51, 28.49ex/s]


preprocess datasets #2:  14%|█▍        | 546/3786 [00:22<01:46, 30.48ex/s]
preprocess datasets #0:   6%|▌         | 231/3786 [00:22<05:28, 10.82ex/s]




preprocess datasets #4:  17%|█▋        | 644/3785 [00:22<01:30, 34.52ex/s]

preprocess datasets #1:   6%|▌         | 235/3786 [00:22<03:41, 16.06ex/s]



preprocess datasets #3:  16%|█▌        | 603/3786 [00:22<01:53, 27.96ex/s]


preprocess datasets #2:  15%|█▍        | 550/3786 [00:22<01:49, 29.43ex/s]



preprocess datasets #3:  16%|█▌        | 606/3786 [00:22<01:51, 28.44ex/s]




preprocess datasets #4:  17%|█▋        | 649/3785 [00:22<01:30, 34.55ex/s]

preprocess datasets #1:   6%|▋         | 237/3786 [00:22<04:02, 14.63ex/s]
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preprocess datasets #2:  15%|█▍        | 553/3786 [00:22<01:52, 28.66ex/s]



preprocess datasets #3:  16%|█▌        | 610/3786 [00:22<01:41, 31.34ex/s]




preprocess datasets #4:  17%|█▋        | 657/3785 [00:22<01:10, 44.37ex/s]


preprocess datasets #2:  15%|█▍        | 556/3786 [00:22<01:52, 28.83ex/s]



preprocess datasets #3:  16%|█▋        | 617/3786 [00:22<01:18, 40.38ex/s]

preprocess datasets #1:   6%|▋         | 239/3786 [00:22<04:25, 13.38ex/s]




preprocess datasets #4:  17%|█▋        | 662/3785 [00:22<01:13, 42.71ex/s]


preprocess datasets #2:  15%|█▍        | 560/3786 [00:22<01:42, 31.45ex/s]
preprocess datasets #0:   6%|▌         | 235/3786 [00:22<06:00,  9.85ex/s]



preprocess datasets #3:  16%|█▋        | 622/3786 [00:22<01:16, 41.22ex/s]




preprocess datasets #4:  18%|█▊        | 667/3785 [00:22<01:11, 43.48ex/s]


preprocess datasets #2:  15%|█▍        | 565/3786 [00:22<01:30, 35.65ex/s]

preprocess datasets #1:   6%|▋         | 241/3786 [00:22<04:23, 13.46ex/s]



preprocess datasets #3:  17%|█▋        | 628/3786 [00:23<01:09, 45.42ex/s]
preprocess datasets #0:   6%|▋         | 237/3786 [00:23<05:50, 10.11ex/s]




preprocess datasets #4:  18%|█▊        | 672/3785 [00:23<01:10, 44.04ex/s]


preprocess datasets #2:  15%|█▌        | 569/3786 [00:23<01:28, 36.43ex/s]

preprocess datasets #1:   6%|▋         | 243/3786 [00:23<04:21, 13.57ex/s]



preprocess datasets #3:  17%|█▋        | 633/3786 [00:23<01:11, 44.35ex/s]


preprocess datasets #2:  15%|█▌        | 573/3786 [00:23<01:27, 36.85ex/s]
preprocess datasets #0:   6%|▋         | 239/3786 [00:23<05:17, 11.16ex/s]




preprocess datasets #4:  18%|█▊        | 678/3785 [00:23<01:10, 43.87ex/s]

preprocess datasets #1:   6%|▋         | 245/3786 [00:23<04:17, 13.74ex/s]


preprocess datasets #2:  15%|█▌        | 577/3786 [00:23<01:28, 36.42ex/s]



preprocess datasets #3:  17%|█▋        | 638/3786 [00:23<01:24, 37.17ex/s]
preprocess datasets #0:   6%|▋         | 241/3786 [00:23<05:05, 11.59ex/s]




preprocess datasets #4:  18%|█▊        | 683/3785 [00:23<01:18, 39.39ex/s]


preprocess datasets #2:  15%|█▌        | 583/3786 [00:23<01:18, 40.78ex/s]

preprocess datasets #1:   7%|▋         | 247/3786 [00:23<04:27, 13.23ex/s]



preprocess datasets #3:  17%|█▋        | 642/3786 [00:23<01:25, 36.74ex/s]




preprocess datasets #4:  18%|█▊        | 688/3785 [00:23<01:20, 38.66ex/s]
preprocess datasets #0:   6%|▋         | 243/3786 [00:23<05:13, 11.30ex/s]



preprocess datasets #3:  17%|█▋        | 648/3786 [00:23<01:18, 40.12ex/s]


preprocess datasets #2:  16%|█▌        | 588/3786 [00:23<01:24, 37.73ex/s]




preprocess datasets #4:  18%|█▊        | 692/3785 [00:23<01:24, 36.82ex/s]

preprocess datasets #1:   7%|▋         | 249/3786 [00:23<04:53, 12.05ex/s]


preprocess datasets #2:  16%|█▌        | 592/3786 [00:23<01:23, 38.05ex/s]



preprocess datasets #3:  17%|█▋        | 653/3786 [00:23<01:25, 36.52ex/s]

preprocess datasets #1:   7%|▋         | 251/3786 [00:23<04:32, 12.95ex/s]




preprocess datasets #4:  18%|█▊        | 696/3785 [00:23<01:30, 34.03ex/s]
preprocess datasets #0:   6%|▋         | 245/3786 [00:23<06:04,  9.72ex/s]


preprocess datasets #2:  16%|█▌        | 596/3786 [00:23<01:34, 33.72ex/s]



preprocess datasets #3:  17%|█▋        | 657/3786 [00:23<01:31, 34.14ex/s]

preprocess datasets #1:   7%|▋         | 253/3786 [00:23<04:27, 13.22ex/s]




preprocess datasets #4:  18%|█▊        | 700/3785 [00:23<01:36, 32.06ex/s]


preprocess datasets #2:  16%|█▌        | 601/3786 [00:23<01:25, 37.23ex/s]

preprocess datasets #1:   7%|▋         | 255/3786 [00:24<04:09, 14.15ex/s]



preprocess datasets #3:  17%|█▋        | 661/3786 [00:24<01:38, 31.59ex/s]
preprocess datasets #0:   7%|▋         | 247/3786 [00:24<06:20,  9.30ex/s]




preprocess datasets #4:  19%|█▊        | 706/3785 [00:24<01:32, 33.24ex/s]


preprocess datasets #2:  16%|█▌        | 605/3786 [00:24<01:39, 32.02ex/s]

preprocess datasets #1:   7%|▋         | 257/3786 [00:24<03:55, 14.96ex/s]




preprocess datasets #4:  19%|█▉        | 710/3785 [00:24<01:29, 34.41ex/s]



preprocess datasets #3:  18%|█▊        | 665/3786 [00:24<01:46, 29.38ex/s]
preprocess datasets #0:   7%|▋         | 249/3786 [00:24<05:44, 10.27ex/s]


preprocess datasets #2:  16%|█▌        | 609/3786 [00:24<01:48, 29.31ex/s]

preprocess datasets #1:   7%|▋         | 259/3786 [00:24<04:09, 14.16ex/s]




preprocess datasets #4:  19%|█▉        | 714/3785 [00:24<01:28, 34.63ex/s]



preprocess datasets #3:  18%|█▊        | 670/3786 [00:24<01:37, 31.90ex/s]
preprocess datasets #0:   7%|▋         | 251/3786 [00:24<05:07, 11.51ex/s]


preprocess datasets #2:  16%|█▌        | 613/3786 [00:24<01:41, 31.14ex/s]




preprocess datasets #4:  19%|█▉        | 718/3785 [00:24<01:25, 35.69ex/s]

preprocess datasets #1:   7%|▋         | 261/3786 [00:24<04:01, 14.57ex/s]


preprocess datasets #2:  16%|█▋        | 617/3786 [00:24<01:38, 32.11ex/s]
preprocess datasets #0:   7%|▋         | 253/3786 [00:24<05:05, 11.56ex/s]




preprocess datasets #4:  19%|█▉        | 723/3785 [00:24<01:17, 39.39ex/s]



preprocess datasets #3:  18%|█▊        | 674/3786 [00:24<01:54, 27.25ex/s]


preprocess datasets #2:  16%|█▋        | 621/3786 [00:24<01:33, 33.69ex/s]

preprocess datasets #1:   7%|▋         | 264/3786 [00:24<03:51, 15.22ex/s]




preprocess datasets #4:  19%|█▉        | 728/3785 [00:24<01:15, 40.50ex/s]



preprocess datasets #3:  18%|█▊        | 678/3786 [00:24<01:45, 29.32ex/s]
preprocess datasets #0:   7%|▋         | 255/3786 [00:24<04:58, 11.83ex/s]


preprocess datasets #2:  17%|█▋        | 625/3786 [00:24<01:35, 33.00ex/s]

preprocess datasets #1:   7%|▋         | 266/3786 [00:24<03:59, 14.71ex/s]



preprocess datasets #3:  18%|█▊        | 682/3786 [00:24<01:53, 27.45ex/s]
preprocess datasets #0:   7%|▋         | 257/3786 [00:24<04:48, 12.22ex/s]




preprocess datasets #4:  19%|█▉        | 733/3785 [00:24<01:29, 34.02ex/s]

preprocess datasets #1:   7%|▋         | 268/3786 [00:24<03:57, 14.79ex/s]


preprocess datasets #2:  17%|█▋        | 629/3786 [00:24<01:47, 29.45ex/s]



preprocess datasets #3:  18%|█▊        | 686/3786 [00:24<01:48, 28.70ex/s]




preprocess datasets #4:  19%|█▉        | 738/3785 [00:24<01:27, 34.75ex/s]
preprocess datasets #0:   7%|▋         | 259/3786 [00:25<05:11, 11.31ex/s]


preprocess datasets #2:  17%|█▋        | 633/3786 [00:25<01:46, 29.51ex/s]



preprocess datasets #3:  18%|█▊        | 690/3786 [00:25<01:42, 30.24ex/s]

preprocess datasets #1:   7%|▋         | 271/3786 [00:25<03:52, 15.15ex/s]




preprocess datasets #4:  20%|█▉        | 742/3785 [00:25<01:30, 33.60ex/s]

preprocess datasets #1:   7%|▋         | 273/3786 [00:25<03:38, 16.10ex/s]



preprocess datasets #3:  18%|█▊        | 695/3786 [00:25<01:37, 31.64ex/s]




preprocess datasets #4:  20%|█▉        | 746/3785 [00:25<01:27, 34.58ex/s]
preprocess datasets #0:   7%|▋         | 261/3786 [00:25<05:13, 11.23ex/s]


preprocess datasets #2:  17%|█▋        | 637/3786 [00:25<02:01, 26.00ex/s]



preprocess datasets #3:  18%|█▊        | 699/3786 [00:25<01:33, 33.15ex/s]




preprocess datasets #4:  20%|█▉        | 750/3785 [00:25<01:35, 31.91ex/s]

preprocess datasets #1:   7%|▋         | 275/3786 [00:25<04:02, 14.51ex/s]


preprocess datasets #2:  17%|█▋        | 641/3786 [00:25<01:55, 27.24ex/s]
preprocess datasets #0:   7%|▋         | 263/3786 [00:25<05:07, 11.46ex/s]



preprocess datasets #3:  19%|█▊        | 703/3786 [00:25<01:31, 33.66ex/s]




preprocess datasets #4:  20%|█▉        | 754/3785 [00:25<01:36, 31.40ex/s]


preprocess datasets #2:  17%|█▋        | 645/3786 [00:25<01:53, 27.75ex/s]

preprocess datasets #1:   7%|▋         | 278/3786 [00:25<03:41, 15.87ex/s]
preprocess datasets #0:   7%|▋         | 265/3786 [00:25<04:57, 11.84ex/s]



preprocess datasets #3:  19%|█▊        | 707/3786 [00:25<01:33, 32.89ex/s]




preprocess datasets #4:  20%|██        | 759/3785 [00:25<01:33, 32.52ex/s]



preprocess datasets #3:  19%|█▉        | 711/3786 [00:25<01:29, 34.50ex/s]

preprocess datasets #1:   7%|▋         | 280/3786 [00:25<03:42, 15.74ex/s]
preprocess datasets #0:   7%|▋         | 267/3786 [00:25<04:37, 12.69ex/s]


preprocess datasets #2:  17%|█▋        | 648/3786 [00:25<02:05, 24.96ex/s]




preprocess datasets #4:  20%|██        | 764/3785 [00:25<01:25, 35.38ex/s]



preprocess datasets #3:  19%|█▉        | 717/3786 [00:25<01:17, 39.46ex/s]


preprocess datasets #2:  17%|█▋        | 651/3786 [00:25<02:00, 25.97ex/s]

preprocess datasets #1:   7%|▋         | 282/3786 [00:25<03:37, 16.10ex/s]
preprocess datasets #0:   7%|▋         | 269/3786 [00:25<04:39, 12.57ex/s]




preprocess datasets #4:  20%|██        | 769/3785 [00:25<01:20, 37.64ex/s]



preprocess datasets #3:  19%|█▉        | 721/3786 [00:25<01:22, 37.01ex/s]


preprocess datasets #2:  17%|█▋        | 655/3786 [00:25<01:59, 26.14ex/s]

preprocess datasets #1:   8%|▊         | 284/3786 [00:25<04:02, 14.43ex/s]
preprocess datasets #0:   7%|▋         | 271/3786 [00:25<04:19, 13.56ex/s]




preprocess datasets #4:  20%|██        | 774/3785 [00:25<01:16, 39.36ex/s]



preprocess datasets #3:  19%|█▉        | 725/3786 [00:25<01:27, 34.91ex/s]


preprocess datasets #2:  17%|█▋        | 660/3786 [00:26<01:51, 27.95ex/s]




preprocess datasets #4:  21%|██        | 778/3785 [00:26<01:18, 38.24ex/s]
preprocess datasets #0:   7%|▋         | 273/3786 [00:26<04:29, 13.05ex/s]

preprocess datasets #1:   8%|▊         | 287/3786 [00:26<03:52, 15.02ex/s]



preprocess datasets #3:  19%|█▉        | 730/3786 [00:26<01:21, 37.36ex/s]




preprocess datasets #4:  21%|██        | 783/3785 [00:26<01:15, 39.89ex/s]


preprocess datasets #2:  18%|█▊        | 664/3786 [00:26<01:55, 27.01ex/s]



preprocess datasets #3:  19%|█▉        | 734/3786 [00:26<01:31, 33.42ex/s]

preprocess datasets #1:   8%|▊         | 290/3786 [00:26<03:40, 15.89ex/s]
preprocess datasets #0:   7%|▋         | 275/3786 [00:26<04:58, 11.78ex/s]


preprocess datasets #2:  18%|█▊        | 667/3786 [00:26<01:54, 27.19ex/s]




preprocess datasets #4:  21%|██        | 788/3785 [00:26<01:22, 36.16ex/s]



preprocess datasets #3:  19%|█▉        | 738/3786 [00:26<01:31, 33.41ex/s]


preprocess datasets #2:  18%|█▊        | 671/3786 [00:26<01:48, 28.74ex/s]
preprocess datasets #0:   7%|▋         | 277/3786 [00:26<04:46, 12.24ex/s]

preprocess datasets #1:   8%|▊         | 292/3786 [00:26<04:04, 14.32ex/s]



preprocess datasets #3:  20%|█▉        | 742/3786 [00:26<01:35, 31.80ex/s]




preprocess datasets #4:  21%|██        | 792/3785 [00:26<01:42, 29.15ex/s]


preprocess datasets #2:  18%|█▊        | 677/3786 [00:26<01:28, 35.19ex/s]
preprocess datasets #0:   7%|▋         | 279/3786 [00:26<04:22, 13.36ex/s]

preprocess datasets #1:   8%|▊         | 294/3786 [00:26<04:05, 14.21ex/s]



preprocess datasets #3:  20%|█▉        | 747/3786 [00:26<01:25, 35.50ex/s]


preprocess datasets #2:  18%|█▊        | 682/3786 [00:26<01:25, 36.33ex/s]




preprocess datasets #4:  21%|██        | 796/3785 [00:26<01:41, 29.41ex/s]

preprocess datasets #1:   8%|▊         | 296/3786 [00:26<03:50, 15.17ex/s]



preprocess datasets #3:  20%|█▉        | 753/3786 [00:26<01:14, 40.96ex/s]
preprocess datasets #0:   7%|▋         | 281/3786 [00:26<05:06, 11.44ex/s]


preprocess datasets #2:  18%|█▊        | 686/3786 [00:26<01:30, 34.23ex/s]




preprocess datasets #4:  21%|██        | 800/3785 [00:26<01:42, 29.09ex/s]



preprocess datasets #3:  20%|██        | 758/3786 [00:26<01:14, 40.83ex/s]


preprocess datasets #2:  18%|█▊        | 690/3786 [00:26<01:32, 33.63ex/s]
preprocess datasets #0:   7%|▋         | 283/3786 [00:26<04:58, 11.74ex/s]

preprocess datasets #1:   8%|▊         | 298/3786 [00:26<04:48, 12.10ex/s]




preprocess datasets #4:  21%|██        | 804/3785 [00:26<01:41, 29.29ex/s]



preprocess datasets #3:  20%|██        | 763/3786 [00:26<01:14, 40.66ex/s]


preprocess datasets #2:  18%|█▊        | 694/3786 [00:27<01:29, 34.43ex/s]




preprocess datasets #4:  21%|██▏       | 808/3785 [00:27<01:37, 30.38ex/s]

preprocess datasets #1:   8%|▊         | 300/3786 [00:27<04:36, 12.61ex/s]



preprocess datasets #3:  20%|██        | 768/3786 [00:27<01:20, 37.40ex/s]
preprocess datasets #0:   8%|▊         | 285/3786 [00:27<05:12, 11.21ex/s]


preprocess datasets #2:  18%|█▊        | 698/3786 [00:27<01:28, 34.99ex/s]




preprocess datasets #4:  21%|██▏       | 812/3785 [00:27<01:32, 32.12ex/s]

preprocess datasets #1:   8%|▊         | 302/3786 [00:27<04:32, 12.79ex/s]



preprocess datasets #3:  20%|██        | 774/3786 [00:27<01:14, 40.27ex/s]




preprocess datasets #4:  22%|██▏       | 819/3785 [00:27<01:12, 40.91ex/s]


preprocess datasets #2:  19%|█▊        | 702/3786 [00:27<01:35, 32.15ex/s]
preprocess datasets #0:   8%|▊         | 287/3786 [00:27<05:09, 11.29ex/s]

preprocess datasets #1:   8%|▊         | 304/3786 [00:27<04:20, 13.37ex/s]




preprocess datasets #4:  22%|██▏       | 824/3785 [00:27<01:13, 40.13ex/s]


preprocess datasets #2:  19%|█▊        | 707/3786 [00:27<01:31, 33.73ex/s]



preprocess datasets #3:  21%|██        | 779/3786 [00:27<01:25, 35.18ex/s]
preprocess datasets #0:   8%|▊         | 289/3786 [00:27<05:06, 11.39ex/s]

preprocess datasets #1:   8%|▊         | 306/3786 [00:27<04:10, 13.90ex/s]




preprocess datasets #4:  22%|██▏       | 831/3785 [00:27<01:05, 45.02ex/s]



preprocess datasets #3:  21%|██        | 784/3786 [00:27<01:23, 35.83ex/s]


preprocess datasets #2:  19%|█▉        | 711/3786 [00:27<01:42, 29.87ex/s]
preprocess datasets #0:   8%|▊         | 291/3786 [00:27<04:45, 12.26ex/s]

preprocess datasets #1:   8%|▊         | 308/3786 [00:27<04:08, 13.98ex/s]




preprocess datasets #4:  22%|██▏       | 838/3785 [00:27<01:01, 47.58ex/s]


preprocess datasets #2:  19%|█▉        | 716/3786 [00:27<01:36, 31.66ex/s]



preprocess datasets #3:  21%|██        | 788/3786 [00:27<01:34, 31.64ex/s]




preprocess datasets #4:  22%|██▏       | 843/3785 [00:27<01:01, 47.85ex/s]

preprocess datasets #1:   8%|▊         | 310/3786 [00:27<04:13, 13.73ex/s]
preprocess datasets #0:   8%|▊         | 293/3786 [00:27<05:11, 11.23ex/s]


preprocess datasets #2:  19%|█▉        | 721/3786 [00:27<01:27, 34.97ex/s]



preprocess datasets #3:  21%|██        | 792/3786 [00:27<01:41, 29.47ex/s]

preprocess datasets #1:   8%|▊         | 312/3786 [00:27<04:04, 14.18ex/s]




preprocess datasets #4:  22%|██▏       | 848/3785 [00:27<01:12, 40.38ex/s]


preprocess datasets #2:  19%|█▉        | 725/3786 [00:27<01:25, 35.72ex/s]
preprocess datasets #0:   8%|▊         | 295/3786 [00:28<05:10, 11.24ex/s]



preprocess datasets #3:  21%|██        | 796/3786 [00:28<01:46, 27.98ex/s]


preprocess datasets #2:  19%|█▉        | 730/3786 [00:28<01:21, 37.55ex/s]




preprocess datasets #4:  23%|██▎       | 853/3785 [00:28<01:14, 39.56ex/s]

preprocess datasets #1:   8%|▊         | 314/3786 [00:28<05:01, 11.52ex/s]
preprocess datasets #0:   8%|▊         | 297/3786 [00:28<05:18, 10.97ex/s]


preprocess datasets #2:  19%|█▉        | 735/3786 [00:28<01:19, 38.34ex/s]



preprocess datasets #3:  21%|██        | 800/3786 [00:28<01:44, 28.68ex/s]




preprocess datasets #4:  23%|██▎       | 858/3785 [00:28<01:19, 36.73ex/s]

preprocess datasets #1:   8%|▊         | 316/3786 [00:28<04:41, 12.33ex/s]


preprocess datasets #2:  20%|█▉        | 740/3786 [00:28<01:16, 39.93ex/s]



preprocess datasets #3:  21%|██        | 804/3786 [00:28<01:38, 30.13ex/s]




preprocess datasets #4:  23%|██▎       | 862/3785 [00:28<01:29, 32.55ex/s]
preprocess datasets #0:   8%|▊         | 299/3786 [00:28<05:33, 10.47ex/s]


preprocess datasets #2:  20%|█▉        | 747/3786 [00:28<01:04, 47.27ex/s]

preprocess datasets #1:   8%|▊         | 318/3786 [00:28<04:33, 12.69ex/s]



preprocess datasets #3:  21%|██▏       | 808/3786 [00:28<01:42, 29.14ex/s]




preprocess datasets #4:  23%|██▎       | 866/3785 [00:28<01:30, 32.23ex/s]



preprocess datasets #3:  21%|██▏       | 811/3786 [00:28<01:41, 29.32ex/s]


preprocess datasets #2:  20%|█▉        | 752/3786 [00:28<01:12, 41.68ex/s]
preprocess datasets #0:   8%|▊         | 301/3786 [00:28<05:52,  9.88ex/s]



preprocess datasets #3:  22%|██▏       | 815/3786 [00:28<01:35, 31.10ex/s]

preprocess datasets #1:   8%|▊         | 320/3786 [00:28<05:10, 11.18ex/s]




preprocess datasets #4:  23%|██▎       | 870/3785 [00:28<01:37, 30.04ex/s]


preprocess datasets #2:  20%|█▉        | 757/3786 [00:28<01:16, 39.59ex/s]
preprocess datasets #0:   8%|▊         | 303/3786 [00:28<05:22, 10.80ex/s]



preprocess datasets #3:  22%|██▏       | 819/3786 [00:28<01:34, 31.47ex/s]

preprocess datasets #1:   9%|▊         | 322/3786 [00:28<04:58, 11.61ex/s]


preprocess datasets #2:  20%|██        | 762/3786 [00:28<01:23, 36.15ex/s]




preprocess datasets #4:  23%|██▎       | 874/3785 [00:28<01:50, 26.33ex/s]
preprocess datasets #0:   8%|▊         | 305/3786 [00:29<05:09, 11.23ex/s]

preprocess datasets #1:   9%|▊         | 324/3786 [00:29<04:49, 11.95ex/s]



preprocess datasets #3:  22%|██▏       | 823/3786 [00:29<01:50, 26.70ex/s]




preprocess datasets #4:  23%|██▎       | 877/3785 [00:29<01:56, 25.00ex/s]


preprocess datasets #2:  20%|██        | 766/3786 [00:29<01:33, 32.24ex/s]



preprocess datasets #3:  22%|██▏       | 826/3786 [00:29<01:51, 26.57ex/s]




preprocess datasets #4:  23%|██▎       | 881/3785 [00:29<01:45, 27.63ex/s]

preprocess datasets #1:   9%|▊         | 326/3786 [00:29<04:37, 12.48ex/s]


preprocess datasets #2:  20%|██        | 770/3786 [00:29<01:40, 29.88ex/s]



preprocess datasets #3:  22%|██▏       | 829/3786 [00:29<01:53, 26.12ex/s]
preprocess datasets #0:   8%|▊         | 307/3786 [00:29<06:09,  9.42ex/s]

preprocess datasets #1:   9%|▊         | 328/3786 [00:29<04:16, 13.47ex/s]




preprocess datasets #4:  23%|██▎       | 885/3785 [00:29<01:40, 28.90ex/s]


preprocess datasets #2:  20%|██        | 774/3786 [00:29<01:43, 29.01ex/s]



preprocess datasets #3:  22%|██▏       | 835/3786 [00:29<01:31, 32.26ex/s]




preprocess datasets #4:  23%|██▎       | 888/3785 [00:29<01:43, 27.95ex/s]
preprocess datasets #0:   8%|▊         | 309/3786 [00:29<05:47, 10.01ex/s]

preprocess datasets #1:   9%|▊         | 330/3786 [00:29<04:22, 13.18ex/s]



preprocess datasets #3:  22%|██▏       | 841/3786 [00:29<01:17, 37.80ex/s]


preprocess datasets #2:  21%|██        | 777/3786 [00:29<01:51, 26.94ex/s]




preprocess datasets #4:  24%|██▎       | 893/3785 [00:29<01:32, 31.35ex/s]
preprocess datasets #0:   8%|▊         | 311/3786 [00:29<05:25, 10.69ex/s]



preprocess datasets #3:  22%|██▏       | 846/3786 [00:29<01:13, 40.17ex/s]


preprocess datasets #2:  21%|██        | 780/3786 [00:29<01:49, 27.44ex/s]

preprocess datasets #1:   9%|▉         | 332/3786 [00:29<04:37, 12.46ex/s]




preprocess datasets #4:  24%|██▎       | 897/3785 [00:29<01:36, 29.80ex/s]
preprocess datasets #0:   8%|▊         | 313/3786 [00:29<04:53, 11.85ex/s]


preprocess datasets #2:  21%|██        | 784/3786 [00:29<01:42, 29.15ex/s]



preprocess datasets #3:  22%|██▏       | 851/3786 [00:29<01:18, 37.57ex/s]

preprocess datasets #1:   9%|▉         | 334/3786 [00:29<04:39, 12.34ex/s]




preprocess datasets #4:  24%|██▍       | 901/3785 [00:29<01:32, 31.10ex/s]


preprocess datasets #2:  21%|██        | 788/3786 [00:29<01:35, 31.26ex/s]



preprocess datasets #3:  23%|██▎       | 856/3786 [00:29<01:15, 38.93ex/s]




preprocess datasets #4:  24%|██▍       | 905/3785 [00:29<01:27, 32.80ex/s]

preprocess datasets #1:   9%|▉         | 337/3786 [00:29<04:11, 13.73ex/s]
preprocess datasets #0:   8%|▊         | 315/3786 [00:30<05:47, 10.00ex/s]


preprocess datasets #2:  21%|██        | 792/3786 [00:30<01:42, 29.33ex/s]



preprocess datasets #3:  23%|██▎       | 860/3786 [00:30<01:24, 34.75ex/s]




preprocess datasets #4:  24%|██▍       | 911/3785 [00:30<01:22, 34.74ex/s]

preprocess datasets #1:   9%|▉         | 339/3786 [00:30<03:50, 14.95ex/s]


preprocess datasets #2:  21%|██        | 796/3786 [00:30<01:42, 29.21ex/s]



preprocess datasets #3:  23%|██▎       | 864/3786 [00:30<01:25, 34.05ex/s]

preprocess datasets #1:   9%|▉         | 341/3786 [00:30<03:55, 14.66ex/s]




preprocess datasets #4:  24%|██▍       | 915/3785 [00:30<01:32, 30.97ex/s]



preprocess datasets #3:  23%|██▎       | 869/3786 [00:30<01:17, 37.64ex/s]
preprocess datasets #0:   8%|▊         | 317/3786 [00:30<06:24,  9.02ex/s]


preprocess datasets #2:  21%|██        | 799/3786 [00:30<01:49, 27.38ex/s]




preprocess datasets #4:  24%|██▍       | 919/3785 [00:30<01:32, 31.06ex/s]



preprocess datasets #3:  23%|██▎       | 873/3786 [00:30<01:16, 38.22ex/s]


preprocess datasets #2:  21%|██        | 802/3786 [00:30<01:50, 27.11ex/s]

preprocess datasets #1:   9%|▉         | 343/3786 [00:30<04:13, 13.58ex/s]
preprocess datasets #0:   8%|▊         | 319/3786 [00:30<05:43, 10.09ex/s]




preprocess datasets #4:  24%|██▍       | 923/3785 [00:30<01:33, 30.75ex/s]


preprocess datasets #2:  21%|██▏       | 805/3786 [00:30<01:48, 27.56ex/s]



preprocess datasets #3:  23%|██▎       | 877/3786 [00:30<01:27, 33.17ex/s]

preprocess datasets #1:   9%|▉         | 345/3786 [00:30<04:19, 13.25ex/s]
preprocess datasets #0:   8%|▊         | 321/3786 [00:30<05:16, 10.94ex/s]




preprocess datasets #4:  24%|██▍       | 927/3785 [00:30<01:31, 31.23ex/s]


preprocess datasets #2:  21%|██▏       | 808/3786 [00:30<01:58, 25.17ex/s]



preprocess datasets #3:  23%|██▎       | 881/3786 [00:30<01:32, 31.33ex/s]

preprocess datasets #1:   9%|▉         | 347/3786 [00:30<04:23, 13.04ex/s]
preprocess datasets #0:   9%|▊         | 323/3786 [00:30<05:17, 10.90ex/s]




preprocess datasets #4:  25%|██▍       | 933/3785 [00:30<01:22, 34.72ex/s]


preprocess datasets #2:  21%|██▏       | 811/3786 [00:30<02:05, 23.79ex/s]



preprocess datasets #3:  23%|██▎       | 885/3786 [00:30<01:39, 29.02ex/s]

preprocess datasets #1:   9%|▉         | 349/3786 [00:30<04:19, 13.22ex/s]


preprocess datasets #2:  22%|██▏       | 815/3786 [00:30<01:51, 26.57ex/s]
preprocess datasets #0:   9%|▊         | 325/3786 [00:30<05:14, 11.00ex/s]




preprocess datasets #4:  25%|██▍       | 937/3785 [00:30<01:34, 30.11ex/s]



preprocess datasets #3:  24%|██▎       | 890/3786 [00:30<01:30, 31.85ex/s]

preprocess datasets #1:   9%|▉         | 351/3786 [00:31<04:30, 12.68ex/s]


preprocess datasets #2:  22%|██▏       | 820/3786 [00:31<01:38, 30.08ex/s]




preprocess datasets #4:  25%|██▍       | 941/3785 [00:31<01:37, 29.29ex/s]



preprocess datasets #3:  24%|██▎       | 894/3786 [00:31<01:30, 31.91ex/s]


preprocess datasets #2:  22%|██▏       | 827/3786 [00:31<01:17, 37.95ex/s]
preprocess datasets #0:   9%|▊         | 327/3786 [00:31<05:55,  9.74ex/s]




preprocess datasets #4:  25%|██▍       | 945/3785 [00:31<01:31, 30.93ex/s]



preprocess datasets #3:  24%|██▎       | 898/3786 [00:31<01:30, 31.87ex/s]

preprocess datasets #1:   9%|▉         | 353/3786 [00:31<04:43, 12.13ex/s]


preprocess datasets #2:  22%|██▏       | 832/3786 [00:31<01:15, 39.28ex/s]
preprocess datasets #0:   9%|▊         | 329/3786 [00:31<05:07, 11.24ex/s]




preprocess datasets #4:  25%|██▌       | 950/3785 [00:31<01:24, 33.54ex/s]



preprocess datasets #3:  24%|██▍       | 903/3786 [00:31<01:23, 34.68ex/s]

preprocess datasets #1:   9%|▉         | 355/3786 [00:31<04:24, 12.96ex/s]


preprocess datasets #2:  22%|██▏       | 838/3786 [00:31<01:10, 42.06ex/s]



preprocess datasets #3:  24%|██▍       | 908/3786 [00:31<01:14, 38.47ex/s]




preprocess datasets #4:  25%|██▌       | 955/3785 [00:31<01:18, 36.23ex/s]


preprocess datasets #2:  22%|██▏       | 845/3786 [00:31<01:01, 47.81ex/s]

preprocess datasets #1:   9%|▉         | 357/3786 [00:31<04:41, 12.18ex/s]



preprocess datasets #3:  24%|██▍       | 914/3786 [00:31<01:07, 42.48ex/s]
preprocess datasets #0:   9%|▊         | 331/3786 [00:31<06:08,  9.36ex/s]




preprocess datasets #4:  25%|██▌       | 959/3785 [00:31<01:30, 31.32ex/s]


preprocess datasets #2:  22%|██▏       | 850/3786 [00:31<01:01, 47.47ex/s]

preprocess datasets #1:   9%|▉         | 359/3786 [00:31<04:28, 12.75ex/s]



preprocess datasets #3:  24%|██▍       | 920/3786 [00:31<01:05, 43.80ex/s]




preprocess datasets #4:  25%|██▌       | 964/3785 [00:31<01:22, 34.15ex/s]
preprocess datasets #0:   9%|▉         | 333/3786 [00:31<05:38, 10.21ex/s]


preprocess datasets #2:  23%|██▎       | 855/3786 [00:31<01:05, 44.48ex/s]

preprocess datasets #1:  10%|▉         | 361/3786 [00:31<04:03, 14.06ex/s]



preprocess datasets #3:  24%|██▍       | 925/3786 [00:31<01:10, 40.46ex/s]




preprocess datasets #4:  26%|██▌       | 969/3785 [00:31<01:20, 35.00ex/s]

preprocess datasets #1:  10%|▉         | 363/3786 [00:31<03:45, 15.16ex/s]


preprocess datasets #2:  23%|██▎       | 860/3786 [00:31<01:12, 40.49ex/s]



preprocess datasets #3:  25%|██▍       | 930/3786 [00:31<01:11, 40.08ex/s]




preprocess datasets #4:  26%|██▌       | 973/3785 [00:31<01:22, 34.16ex/s]
preprocess datasets #0:   9%|▉         | 335/3786 [00:32<06:04,  9.46ex/s]

preprocess datasets #1:  10%|▉         | 365/3786 [00:32<03:46, 15.07ex/s]


preprocess datasets #2:  23%|██▎       | 865/3786 [00:32<01:12, 40.11ex/s]




preprocess datasets #4:  26%|██▌       | 977/3785 [00:32<01:22, 34.05ex/s]



preprocess datasets #3:  25%|██▍       | 935/3786 [00:32<01:21, 35.18ex/s]


preprocess datasets #2:  23%|██▎       | 872/3786 [00:32<01:04, 45.48ex/s]

preprocess datasets #1:  10%|▉         | 367/3786 [00:32<04:08, 13.78ex/s]
preprocess datasets #0:   9%|▉         | 337/3786 [00:32<06:10,  9.32ex/s]




preprocess datasets #4:  26%|██▌       | 981/3785 [00:32<01:24, 33.01ex/s]


preprocess datasets #2:  23%|██▎       | 877/3786 [00:32<01:04, 44.98ex/s]



preprocess datasets #3:  25%|██▍       | 939/3786 [00:32<01:29, 31.67ex/s]

preprocess datasets #1:  10%|▉         | 369/3786 [00:32<03:58, 14.32ex/s]
preprocess datasets #0:   9%|▉         | 339/3786 [00:32<05:40, 10.13ex/s]




preprocess datasets #4:  26%|██▌       | 986/3785 [00:32<01:23, 33.63ex/s]


preprocess datasets #2:  23%|██▎       | 882/3786 [00:32<01:06, 43.78ex/s]



preprocess datasets #3:  25%|██▍       | 943/3786 [00:32<01:34, 30.20ex/s]

preprocess datasets #1:  10%|▉         | 371/3786 [00:32<04:05, 13.88ex/s]




preprocess datasets #4:  26%|██▌       | 990/3785 [00:32<01:25, 32.80ex/s]


preprocess datasets #2:  23%|██▎       | 887/3786 [00:32<01:13, 39.66ex/s]



preprocess datasets #3:  25%|██▌       | 947/3786 [00:32<01:39, 28.62ex/s]




preprocess datasets #4:  26%|██▋       | 994/3785 [00:32<01:31, 30.45ex/s]

preprocess datasets #1:  10%|▉         | 373/3786 [00:32<04:32, 12.52ex/s]
preprocess datasets #0:   9%|▉         | 341/3786 [00:32<06:34,  8.72ex/s]


preprocess datasets #2:  24%|██▎       | 892/3786 [00:32<01:22, 35.09ex/s]



preprocess datasets #3:  25%|██▌       | 950/3786 [00:32<01:52, 25.16ex/s]

preprocess datasets #1:  10%|▉         | 375/3786 [00:32<04:37, 12.28ex/s]
preprocess datasets #0:   9%|▉         | 343/3786 [00:32<06:09,  9.32ex/s]




preprocess datasets #4:  26%|██▋       | 998/3785 [00:32<01:45, 26.53ex/s]


preprocess datasets #2:  24%|██▎       | 896/3786 [00:32<01:31, 31.58ex/s]



preprocess datasets #3:  25%|██▌       | 954/3786 [00:32<01:45, 26.78ex/s]

preprocess datasets #1:  10%|▉         | 377/3786 [00:33<04:36, 12.33ex/s]



preprocess datasets #3:  25%|██▌       | 958/3786 [00:32<01:36, 29.27ex/s]
preprocess datasets #0:   9%|▉         | 345/3786 [00:33<05:52,  9.76ex/s]


preprocess datasets #2:  24%|██▍       | 900/3786 [00:33<01:44, 27.54ex/s]



preprocess datasets #3:  25%|██▌       | 962/3786 [00:33<01:29, 31.49ex/s]

preprocess datasets #1:  10%|█         | 379/3786 [00:33<04:28, 12.71ex/s]
preprocess datasets #0:   9%|▉         | 348/3786 [00:33<04:46, 12.01ex/s]



preprocess datasets #3:  26%|██▌       | 967/3786 [00:33<01:18, 35.74ex/s]


preprocess datasets #2:  24%|██▍       | 903/3786 [00:33<01:54, 25.22ex/s]

preprocess datasets #1:  10%|█         | 381/3786 [00:33<04:29, 12.64ex/s]



preprocess datasets #3:  26%|██▌       | 971/3786 [00:33<01:22, 34.19ex/s]


preprocess datasets #2:  24%|██▍       | 907/3786 [00:33<01:47, 26.70ex/s]
preprocess datasets #0:   9%|▉         | 350/3786 [00:33<05:21, 10.69ex/s]

preprocess datasets #1:  10%|█         | 383/3786 [00:33<04:16, 13.29ex/s]


preprocess datasets #2:  24%|██▍       | 911/3786 [00:33<01:38, 29.28ex/s]



preprocess datasets #3:  26%|██▌       | 975/3786 [00:33<01:24, 33.37ex/s]




preprocess datasets #4:  26%|██▋       | 1001/3785 [00:33<03:37, 12.81ex/s]




preprocess datasets #4:  27%|██▋       | 1004/3785 [00:33<03:06, 14.89ex/s]
preprocess datasets #0:   9%|▉         | 352/3786 [00:33<05:08, 11.14ex/s]



preprocess datasets #3:  26%|██▌       | 981/3786 [00:33<01:14, 37.49ex/s]

preprocess datasets #1:  10%|█         | 385/3786 [00:33<04:21, 13.02ex/s]


preprocess datasets #2:  24%|██▍       | 915/3786 [00:33<01:49, 26.24ex/s]




preprocess datasets #4:  27%|██▋       | 1007/3785 [00:33<02:46, 16.68ex/s]



preprocess datasets #3:  26%|██▌       | 986/3786 [00:33<01:11, 39.36ex/s]

preprocess datasets #1:  10%|█         | 387/3786 [00:33<04:15, 13.30ex/s]
preprocess datasets #0:   9%|▉         | 354/3786 [00:33<05:01, 11.37ex/s]


preprocess datasets #2:  24%|██▍       | 918/3786 [00:33<01:51, 25.81ex/s]




preprocess datasets #4:  27%|██▋       | 1010/3785 [00:33<02:30, 18.43ex/s]

preprocess datasets #1:  10%|█         | 389/3786 [00:33<04:11, 13.50ex/s]


preprocess datasets #2:  24%|██▍       | 922/3786 [00:33<01:41, 28.13ex/s]



preprocess datasets #3:  26%|██▌       | 990/3786 [00:33<01:28, 31.76ex/s]




preprocess datasets #4:  27%|██▋       | 1014/3785 [00:33<02:12, 20.98ex/s]
preprocess datasets #0:   9%|▉         | 356/3786 [00:34<05:18, 10.77ex/s]


preprocess datasets #2:  24%|██▍       | 926/3786 [00:34<01:34, 30.13ex/s]

preprocess datasets #1:  10%|█         | 391/3786 [00:34<04:02, 14.01ex/s]



preprocess datasets #3:  26%|██▋       | 995/3786 [00:34<01:20, 34.66ex/s]




preprocess datasets #4:  27%|██▋       | 1018/3785 [00:34<02:00, 22.95ex/s]


preprocess datasets #2:  25%|██▍       | 931/3786 [00:34<01:24, 33.93ex/s]

preprocess datasets #1:  10%|█         | 393/3786 [00:34<03:53, 14.53ex/s]
preprocess datasets #0:   9%|▉         | 358/3786 [00:34<05:22, 10.63ex/s]



preprocess datasets #3:  26%|██▋       | 999/3786 [00:34<01:26, 32.31ex/s]




preprocess datasets #4:  27%|██▋       | 1021/3785 [00:34<01:55, 24.00ex/s]


preprocess datasets #2:  25%|██▍       | 935/3786 [00:34<01:30, 31.46ex/s]

preprocess datasets #1:  10%|█         | 395/3786 [00:34<03:54, 14.49ex/s]




preprocess datasets #4:  27%|██▋       | 1024/3785 [00:34<01:53, 24.22ex/s]
preprocess datasets #0:  10%|▉         | 360/3786 [00:34<05:15, 10.87ex/s]


preprocess datasets #2:  25%|██▍       | 939/3786 [00:34<01:32, 30.86ex/s]

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preprocess datasets #4:  27%|██▋       | 1027/3785 [00:34<02:04, 22.14ex/s]
preprocess datasets #0:  10%|▉         | 363/3786 [00:34<04:39, 12.25ex/s]


preprocess datasets #2:  25%|██▍       | 944/3786 [00:34<01:31, 31.09ex/s]

preprocess datasets #1:  11%|█         | 399/3786 [00:34<04:03, 13.93ex/s]




preprocess datasets #4:  27%|██▋       | 1030/3785 [00:34<02:06, 21.78ex/s]


preprocess datasets #2:  25%|██▌       | 948/3786 [00:34<01:35, 29.61ex/s]

preprocess datasets #1:  11%|█         | 401/3786 [00:34<04:05, 13.77ex/s]
preprocess datasets #0:  10%|▉         | 365/3786 [00:34<04:59, 11.43ex/s]




preprocess datasets #4:  27%|██▋       | 1033/3785 [00:34<02:03, 22.28ex/s]


preprocess datasets #2:  25%|██▌       | 952/3786 [00:34<01:33, 30.41ex/s]



preprocess datasets #3:  26%|██▋       | 1003/3786 [00:34<03:17, 14.12ex/s]




preprocess datasets #4:  27%|██▋       | 1036/3785 [00:34<01:54, 24.02ex/s]

preprocess datasets #1:  11%|█         | 403/3786 [00:34<04:15, 13.22ex/s]



preprocess datasets #3:  27%|██▋       | 1007/3786 [00:34<02:43, 17.05ex/s]


preprocess datasets #2:  25%|██▌       | 956/3786 [00:34<01:36, 29.40ex/s]
preprocess datasets #0:  10%|▉         | 367/3786 [00:35<05:31, 10.31ex/s]




preprocess datasets #4:  28%|██▊       | 1041/3785 [00:35<01:37, 28.15ex/s]



preprocess datasets #3:  27%|██▋       | 1011/3786 [00:35<02:16, 20.34ex/s]

preprocess datasets #1:  11%|█         | 405/3786 [00:35<04:37, 12.19ex/s]


preprocess datasets #2:  25%|██▌       | 960/3786 [00:35<01:29, 31.48ex/s]




preprocess datasets #4:  28%|██▊       | 1044/3785 [00:35<01:39, 27.50ex/s]
preprocess datasets #0:  10%|▉         | 369/3786 [00:35<05:13, 10.90ex/s]



preprocess datasets #3:  27%|██▋       | 1015/3786 [00:35<01:58, 23.47ex/s]


preprocess datasets #2:  25%|██▌       | 964/3786 [00:35<01:27, 32.13ex/s]

preprocess datasets #1:  11%|█         | 407/3786 [00:35<04:33, 12.34ex/s]




preprocess datasets #4:  28%|██▊       | 1047/3785 [00:35<01:44, 26.08ex/s]


preprocess datasets #2:  26%|██▌       | 968/3786 [00:35<01:26, 32.67ex/s]



preprocess datasets #3:  27%|██▋       | 1019/3786 [00:35<01:52, 24.59ex/s]
preprocess datasets #0:  10%|▉         | 371/3786 [00:35<05:25, 10.51ex/s]




preprocess datasets #4:  28%|██▊       | 1050/3785 [00:35<01:47, 25.34ex/s]

preprocess datasets #1:  11%|█         | 409/3786 [00:35<04:24, 12.78ex/s]


preprocess datasets #2:  26%|██▌       | 973/3786 [00:35<01:19, 35.43ex/s]



preprocess datasets #3:  27%|██▋       | 1023/3786 [00:35<01:43, 26.61ex/s]




preprocess datasets #4:  28%|██▊       | 1053/3785 [00:35<01:54, 23.89ex/s]

preprocess datasets #1:  11%|█         | 411/3786 [00:35<04:21, 12.91ex/s]
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preprocess datasets #3:  27%|██▋       | 1027/3786 [00:35<01:36, 28.56ex/s]




preprocess datasets #4:  28%|██▊       | 1059/3785 [00:35<01:26, 31.42ex/s]


preprocess datasets #2:  26%|██▌       | 977/3786 [00:35<01:37, 28.83ex/s]



preprocess datasets #3:  27%|██▋       | 1031/3786 [00:35<01:32, 29.89ex/s]

preprocess datasets #1:  11%|█         | 413/3786 [00:35<04:43, 11.90ex/s]


preprocess datasets #2:  26%|██▌       | 981/3786 [00:35<01:31, 30.76ex/s]




preprocess datasets #4:  28%|██▊       | 1064/3785 [00:35<01:19, 34.39ex/s]
preprocess datasets #0:  10%|▉         | 375/3786 [00:35<06:14,  9.10ex/s]

preprocess datasets #1:  11%|█         | 415/3786 [00:35<04:21, 12.91ex/s]



preprocess datasets #3:  27%|██▋       | 1035/3786 [00:35<01:42, 26.90ex/s]




preprocess datasets #4:  28%|██▊       | 1068/3785 [00:35<01:20, 33.78ex/s]


preprocess datasets #2:  26%|██▌       | 985/3786 [00:35<01:41, 27.64ex/s]
preprocess datasets #0:  10%|▉         | 378/3786 [00:35<04:43, 12.01ex/s]



preprocess datasets #3:  27%|██▋       | 1039/3786 [00:35<01:37, 28.10ex/s]


preprocess datasets #2:  26%|██▌       | 988/3786 [00:36<01:43, 27.10ex/s]

preprocess datasets #1:  11%|█         | 417/3786 [00:36<04:40, 12.02ex/s]




preprocess datasets #4:  28%|██▊       | 1072/3785 [00:36<01:32, 29.39ex/s]
preprocess datasets #0:  10%|█         | 380/3786 [00:36<04:25, 12.83ex/s]



preprocess datasets #3:  28%|██▊       | 1043/3786 [00:36<01:30, 30.33ex/s]

preprocess datasets #1:  11%|█         | 419/3786 [00:36<04:09, 13.48ex/s]


preprocess datasets #2:  26%|██▌       | 992/3786 [00:36<01:34, 29.44ex/s]




preprocess datasets #4:  28%|██▊       | 1076/3785 [00:36<01:25, 31.54ex/s]
preprocess datasets #0:  10%|█         | 382/3786 [00:36<04:21, 13.03ex/s]



preprocess datasets #3:  28%|██▊       | 1047/3786 [00:36<01:32, 29.61ex/s]


preprocess datasets #2:  26%|██▋       | 996/3786 [00:36<01:45, 26.48ex/s]

preprocess datasets #1:  11%|█         | 421/3786 [00:36<04:59, 11.23ex/s]




preprocess datasets #4:  29%|██▊       | 1080/3785 [00:36<01:47, 25.09ex/s]
preprocess datasets #0:  10%|█         | 384/3786 [00:36<04:39, 12.18ex/s]



preprocess datasets #3:  28%|██▊       | 1051/3786 [00:36<01:40, 27.11ex/s]


preprocess datasets #2:  26%|██▋       | 999/3786 [00:36<01:53, 24.65ex/s]




preprocess datasets #4:  29%|██▊       | 1083/3785 [00:36<01:44, 25.93ex/s]

preprocess datasets #1:  11%|█         | 423/3786 [00:36<04:32, 12.33ex/s]



preprocess datasets #3:  28%|██▊       | 1055/3786 [00:36<01:32, 29.48ex/s]




preprocess datasets #4:  29%|██▊       | 1086/3785 [00:36<01:48, 24.90ex/s]



preprocess datasets #3:  28%|██▊       | 1059/3786 [00:36<01:30, 30.17ex/s]
preprocess datasets #0:  10%|█         | 386/3786 [00:36<05:23, 10.50ex/s]

preprocess datasets #1:  11%|█▏        | 426/3786 [00:36<03:49, 14.63ex/s]




preprocess datasets #4:  29%|██▉       | 1089/3785 [00:36<01:52, 23.97ex/s]



preprocess datasets #3:  28%|██▊       | 1063/3786 [00:36<01:30, 30.06ex/s]

preprocess datasets #1:  11%|█▏        | 428/3786 [00:36<04:01, 13.89ex/s]




preprocess datasets #4:  29%|██▉       | 1092/3785 [00:36<01:47, 24.96ex/s]



preprocess datasets #3:  28%|██▊       | 1068/3786 [00:36<01:18, 34.80ex/s]
preprocess datasets #0:  10%|█         | 388/3786 [00:36<05:41,  9.95ex/s]

preprocess datasets #1:  11%|█▏        | 430/3786 [00:37<04:00, 13.93ex/s]



preprocess datasets #3:  28%|██▊       | 1072/3786 [00:36<01:16, 35.60ex/s]




preprocess datasets #4:  29%|██▉       | 1096/3785 [00:37<01:44, 25.74ex/s]
preprocess datasets #0:  10%|█         | 390/3786 [00:37<05:33, 10.19ex/s]



preprocess datasets #3:  28%|██▊       | 1076/3786 [00:37<01:15, 35.84ex/s]




preprocess datasets #4:  29%|██▉       | 1099/3785 [00:37<01:40, 26.64ex/s]

preprocess datasets #1:  11%|█▏        | 432/3786 [00:37<04:15, 13.12ex/s]
preprocess datasets #0:  10%|█         | 392/3786 [00:37<04:47, 11.80ex/s]


preprocess datasets #2:  26%|██▋       | 1002/3786 [00:37<04:15, 10.90ex/s]




preprocess datasets #4:  29%|██▉       | 1103/3785 [00:37<01:29, 29.86ex/s]



preprocess datasets #3:  29%|██▊       | 1080/3786 [00:37<01:27, 31.07ex/s]

preprocess datasets #1:  11%|█▏        | 434/3786 [00:37<04:13, 13.25ex/s]


preprocess datasets #2:  27%|██▋       | 1005/3786 [00:37<03:35, 12.93ex/s]
preprocess datasets #0:  10%|█         | 394/3786 [00:37<04:49, 11.72ex/s]




preprocess datasets #4:  29%|██▉       | 1107/3785 [00:37<01:30, 29.60ex/s]



preprocess datasets #3:  29%|██▊       | 1084/3786 [00:37<01:33, 29.04ex/s]


preprocess datasets #2:  27%|██▋       | 1010/3786 [00:37<02:39, 17.37ex/s]

preprocess datasets #1:  12%|█▏        | 436/3786 [00:37<04:16, 13.06ex/s]




preprocess datasets #4:  29%|██▉       | 1112/3785 [00:37<01:20, 33.25ex/s]



preprocess datasets #3:  29%|██▊       | 1088/3786 [00:37<01:34, 28.69ex/s]


preprocess datasets #2:  27%|██▋       | 1013/3786 [00:37<02:30, 18.49ex/s]
preprocess datasets #0:  10%|█         | 396/3786 [00:37<05:17, 10.68ex/s]

preprocess datasets #1:  12%|█▏        | 438/3786 [00:37<04:15, 13.11ex/s]




preprocess datasets #4:  29%|██▉       | 1116/3785 [00:37<01:25, 31.31ex/s]



preprocess datasets #3:  29%|██▉       | 1092/3786 [00:37<01:28, 30.43ex/s]


preprocess datasets #2:  27%|██▋       | 1016/3786 [00:37<02:23, 19.26ex/s]




preprocess datasets #4:  30%|██▉       | 1120/3785 [00:37<01:22, 32.43ex/s]


preprocess datasets #2:  27%|██▋       | 1021/3786 [00:37<01:57, 23.60ex/s]



preprocess datasets #3:  29%|██▉       | 1096/3786 [00:37<01:35, 28.22ex/s]

preprocess datasets #1:  12%|█▏        | 440/3786 [00:37<05:04, 10.99ex/s]




preprocess datasets #4:  30%|██▉       | 1124/3785 [00:37<01:22, 32.07ex/s]
preprocess datasets #0:  11%|█         | 398/3786 [00:37<06:18,  8.96ex/s]


preprocess datasets #2:  27%|██▋       | 1024/3786 [00:37<01:52, 24.52ex/s]



preprocess datasets #3:  29%|██▉       | 1099/3786 [00:37<01:40, 26.81ex/s]




preprocess datasets #4:  30%|██▉       | 1128/3785 [00:38<01:27, 30.37ex/s]

preprocess datasets #1:  12%|█▏        | 442/3786 [00:38<05:03, 11.03ex/s]


preprocess datasets #2:  27%|██▋       | 1029/3786 [00:38<01:36, 28.57ex/s]
preprocess datasets #0:  11%|█         | 400/3786 [00:38<06:18,  8.94ex/s]



preprocess datasets #3:  29%|██▉       | 1105/3786 [00:38<01:24, 31.83ex/s]




preprocess datasets #4:  30%|██▉       | 1133/3785 [00:38<01:19, 33.24ex/s]


preprocess datasets #2:  27%|██▋       | 1033/3786 [00:38<01:36, 28.39ex/s]

preprocess datasets #1:  12%|█▏        | 444/3786 [00:38<05:13, 10.65ex/s]



preprocess datasets #3:  29%|██▉       | 1109/3786 [00:38<01:25, 31.24ex/s]
preprocess datasets #0:  11%|█         | 402/3786 [00:38<05:38, 10.00ex/s]




preprocess datasets #4:  30%|███       | 1137/3785 [00:38<01:19, 33.46ex/s]



preprocess datasets #3:  29%|██▉       | 1113/3786 [00:38<01:22, 32.26ex/s]


preprocess datasets #2:  27%|██▋       | 1037/3786 [00:38<01:38, 27.92ex/s]

preprocess datasets #1:  12%|█▏        | 446/3786 [00:38<05:00, 11.13ex/s]
preprocess datasets #0:  11%|█         | 404/3786 [00:38<05:19, 10.57ex/s]




preprocess datasets #4:  30%|███       | 1141/3785 [00:38<01:27, 30.26ex/s]


preprocess datasets #2:  27%|██▋       | 1040/3786 [00:38<01:41, 26.97ex/s]




preprocess datasets #4:  30%|███       | 1145/3785 [00:38<01:26, 30.41ex/s]

preprocess datasets #1:  12%|█▏        | 448/3786 [00:38<04:58, 11.18ex/s]



preprocess datasets #3:  30%|██▉       | 1117/3786 [00:38<01:42, 26.12ex/s]
preprocess datasets #0:  11%|█         | 406/3786 [00:38<05:12, 10.82ex/s]


preprocess datasets #2:  28%|██▊       | 1043/3786 [00:38<01:44, 26.27ex/s]

preprocess datasets #1:  12%|█▏        | 450/3786 [00:38<04:21, 12.78ex/s]




preprocess datasets #4:  30%|███       | 1151/3785 [00:38<01:19, 33.23ex/s]



preprocess datasets #3:  30%|██▉       | 1120/3786 [00:38<01:43, 25.70ex/s]


preprocess datasets #2:  28%|██▊       | 1047/3786 [00:38<01:42, 26.67ex/s]
preprocess datasets #0:  11%|█         | 408/3786 [00:38<05:15, 10.71ex/s]

preprocess datasets #1:  12%|█▏        | 452/3786 [00:38<04:06, 13.50ex/s]




preprocess datasets #4:  31%|███       | 1155/3785 [00:38<01:17, 34.14ex/s]



preprocess datasets #3:  30%|██▉       | 1123/3786 [00:38<01:41, 26.30ex/s]


preprocess datasets #2:  28%|██▊       | 1050/3786 [00:38<01:45, 25.83ex/s]
preprocess datasets #0:  11%|█         | 410/3786 [00:38<04:35, 12.27ex/s]




preprocess datasets #4:  31%|███       | 1159/3785 [00:38<01:16, 34.33ex/s]



preprocess datasets #3:  30%|██▉       | 1126/3786 [00:38<01:45, 25.27ex/s]

preprocess datasets #1:  12%|█▏        | 454/3786 [00:39<04:20, 12.81ex/s]


preprocess datasets #2:  28%|██▊       | 1054/3786 [00:39<01:43, 26.52ex/s]




preprocess datasets #4:  31%|███       | 1163/3785 [00:39<01:18, 33.27ex/s]



preprocess datasets #3:  30%|██▉       | 1129/3786 [00:39<01:45, 25.17ex/s]
preprocess datasets #0:  11%|█         | 412/3786 [00:39<04:53, 11.50ex/s]

preprocess datasets #1:  12%|█▏        | 456/3786 [00:39<04:22, 12.69ex/s]



preprocess datasets #3:  30%|██▉       | 1132/3786 [00:39<01:42, 25.99ex/s]


preprocess datasets #2:  28%|██▊       | 1057/3786 [00:39<01:50, 24.78ex/s]




preprocess datasets #4:  31%|███       | 1168/3785 [00:39<01:15, 34.58ex/s]

preprocess datasets #1:  12%|█▏        | 458/3786 [00:39<04:09, 13.32ex/s]



preprocess datasets #3:  30%|██▉       | 1135/3786 [00:39<01:38, 26.92ex/s]
preprocess datasets #0:  11%|█         | 414/3786 [00:39<05:02, 11.15ex/s]


preprocess datasets #2:  28%|██▊       | 1061/3786 [00:39<01:44, 26.01ex/s]




preprocess datasets #4:  31%|███       | 1172/3785 [00:39<01:18, 33.24ex/s]

preprocess datasets #1:  12%|█▏        | 460/3786 [00:39<04:02, 13.70ex/s]



preprocess datasets #3:  30%|███       | 1138/3786 [00:39<01:44, 25.36ex/s]


preprocess datasets #2:  28%|██▊       | 1065/3786 [00:39<01:34, 28.74ex/s]




preprocess datasets #4:  31%|███       | 1178/3785 [00:39<01:07, 38.51ex/s]
preprocess datasets #0:  11%|█         | 416/3786 [00:39<05:21, 10.48ex/s]

preprocess datasets #1:  12%|█▏        | 462/3786 [00:39<03:41, 15.01ex/s]


preprocess datasets #2:  28%|██▊       | 1069/3786 [00:39<01:28, 30.75ex/s]




preprocess datasets #4:  31%|███▏      | 1183/3785 [00:39<01:03, 40.71ex/s]



preprocess datasets #3:  30%|███       | 1141/3786 [00:39<01:54, 23.05ex/s]




preprocess datasets #4:  31%|███▏      | 1188/3785 [00:39<01:02, 41.58ex/s]

preprocess datasets #1:  12%|█▏        | 464/3786 [00:39<03:53, 14.24ex/s]


preprocess datasets #2:  28%|██▊       | 1073/3786 [00:39<01:32, 29.35ex/s]
preprocess datasets #0:  11%|█         | 418/3786 [00:39<05:26, 10.30ex/s]



preprocess datasets #3:  30%|███       | 1144/3786 [00:39<02:07, 20.78ex/s]




preprocess datasets #4:  32%|███▏      | 1193/3785 [00:39<01:03, 40.92ex/s]


preprocess datasets #2:  28%|██▊       | 1077/3786 [00:39<01:31, 29.54ex/s]

preprocess datasets #1:  12%|█▏        | 466/3786 [00:39<04:19, 12.78ex/s]



preprocess datasets #3:  30%|███       | 1148/3786 [00:39<01:50, 23.95ex/s]
preprocess datasets #0:  11%|█         | 420/3786 [00:39<05:16, 10.64ex/s]




preprocess datasets #4:  32%|███▏      | 1198/3785 [00:39<01:07, 38.57ex/s]


preprocess datasets #2:  29%|██▊       | 1080/3786 [00:39<01:35, 28.43ex/s]



preprocess datasets #3:  30%|███       | 1152/3786 [00:40<01:45, 24.98ex/s]

preprocess datasets #1:  12%|█▏        | 468/3786 [00:40<04:20, 12.75ex/s]


preprocess datasets #2:  29%|██▊       | 1084/3786 [00:40<01:27, 30.91ex/s]




preprocess datasets #4:  32%|███▏      | 1203/3785 [00:40<01:04, 39.99ex/s]
preprocess datasets #0:  11%|█         | 422/3786 [00:40<05:13, 10.73ex/s]



preprocess datasets #3:  31%|███       | 1155/3786 [00:40<01:48, 24.29ex/s]




preprocess datasets #4:  32%|███▏      | 1208/3785 [00:40<01:02, 41.25ex/s]

preprocess datasets #1:  12%|█▏        | 470/3786 [00:40<04:33, 12.15ex/s]


preprocess datasets #2:  29%|██▊       | 1088/3786 [00:40<01:38, 27.29ex/s]
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preprocess datasets #3:  31%|███       | 1158/3786 [00:40<01:51, 23.50ex/s]




preprocess datasets #4:  32%|███▏      | 1215/3785 [00:40<00:58, 44.28ex/s]


preprocess datasets #2:  29%|██▉       | 1091/3786 [00:40<01:40, 26.74ex/s]

preprocess datasets #1:  12%|█▏        | 472/3786 [00:40<04:56, 11.17ex/s]



preprocess datasets #3:  31%|███       | 1161/3786 [00:40<01:56, 22.60ex/s]
preprocess datasets #0:  11%|█▏        | 426/3786 [00:40<05:17, 10.58ex/s]


preprocess datasets #2:  29%|██▉       | 1096/3786 [00:40<01:24, 31.94ex/s]




preprocess datasets #4:  32%|███▏      | 1220/3785 [00:40<01:03, 40.51ex/s]

preprocess datasets #1:  13%|█▎        | 474/3786 [00:40<04:33, 12.10ex/s]



preprocess datasets #3:  31%|███       | 1164/3786 [00:40<01:53, 23.07ex/s]


preprocess datasets #2:  29%|██▉       | 1100/3786 [00:40<01:22, 32.53ex/s]




preprocess datasets #4:  32%|███▏      | 1225/3785 [00:40<01:05, 39.36ex/s]



preprocess datasets #3:  31%|███       | 1167/3786 [00:40<01:48, 24.16ex/s]
preprocess datasets #0:  11%|█▏        | 428/3786 [00:40<05:36,  9.97ex/s]




preprocess datasets #4:  32%|███▏      | 1230/3785 [00:40<01:02, 41.00ex/s]

preprocess datasets #1:  13%|█▎        | 476/3786 [00:40<04:33, 12.12ex/s]


preprocess datasets #2:  29%|██▉       | 1104/3786 [00:40<01:34, 28.51ex/s]



preprocess datasets #3:  31%|███       | 1170/3786 [00:40<01:47, 24.31ex/s]




preprocess datasets #4:  33%|███▎      | 1236/3785 [00:40<00:58, 43.57ex/s]
preprocess datasets #0:  11%|█▏        | 430/3786 [00:40<05:17, 10.56ex/s]

preprocess datasets #1:  13%|█▎        | 478/3786 [00:40<04:33, 12.12ex/s]


preprocess datasets #2:  29%|██▉       | 1108/3786 [00:40<01:33, 28.72ex/s]



preprocess datasets #3:  31%|███       | 1174/3786 [00:40<01:35, 27.41ex/s]




preprocess datasets #4:  33%|███▎      | 1241/3785 [00:40<00:57, 44.17ex/s]


preprocess datasets #2:  29%|██▉       | 1111/3786 [00:41<01:33, 28.69ex/s]
preprocess datasets #0:  11%|█▏        | 432/3786 [00:41<05:14, 10.65ex/s]

preprocess datasets #1:  13%|█▎        | 481/3786 [00:41<03:59, 13.80ex/s]



preprocess datasets #3:  31%|███       | 1177/3786 [00:41<01:46, 24.47ex/s]




preprocess datasets #4:  33%|███▎      | 1246/3785 [00:41<01:05, 38.92ex/s]


preprocess datasets #2:  29%|██▉       | 1115/3786 [00:41<01:33, 28.45ex/s]

preprocess datasets #1:  13%|█▎        | 483/3786 [00:41<03:52, 14.18ex/s]




preprocess datasets #4:  33%|███▎      | 1251/3785 [00:41<01:01, 41.40ex/s]
preprocess datasets #0:  11%|█▏        | 434/3786 [00:41<05:15, 10.62ex/s]



preprocess datasets #3:  31%|███       | 1180/3786 [00:41<01:56, 22.42ex/s]


preprocess datasets #2:  30%|██▉       | 1119/3786 [00:41<01:30, 29.49ex/s]




preprocess datasets #4:  33%|███▎      | 1256/3785 [00:41<01:01, 41.41ex/s]



preprocess datasets #3:  31%|███▏      | 1184/3786 [00:41<01:40, 25.85ex/s]

preprocess datasets #1:  13%|█▎        | 485/3786 [00:41<04:02, 13.59ex/s]


preprocess datasets #2:  30%|██▉       | 1122/3786 [00:41<01:35, 27.88ex/s]
preprocess datasets #0:  12%|█▏        | 436/3786 [00:41<05:13, 10.70ex/s]




preprocess datasets #4:  33%|███▎      | 1261/3785 [00:41<01:03, 39.62ex/s]



preprocess datasets #3:  31%|███▏      | 1188/3786 [00:41<01:33, 27.65ex/s]


preprocess datasets #2:  30%|██▉       | 1125/3786 [00:41<01:34, 28.28ex/s]

preprocess datasets #1:  13%|█▎        | 487/3786 [00:41<04:05, 13.45ex/s]




preprocess datasets #4:  33%|███▎      | 1266/3785 [00:41<01:01, 41.29ex/s]
preprocess datasets #0:  12%|█▏        | 438/3786 [00:41<05:05, 10.95ex/s]



preprocess datasets #3:  31%|███▏      | 1191/3786 [00:41<01:39, 26.19ex/s]


preprocess datasets #2:  30%|██▉       | 1128/3786 [00:41<01:34, 28.24ex/s]




preprocess datasets #4:  34%|███▎      | 1271/3785 [00:41<00:59, 42.02ex/s]



preprocess datasets #3:  32%|███▏      | 1195/3786 [00:41<01:27, 29.50ex/s]

preprocess datasets #1:  13%|█▎        | 489/3786 [00:41<04:35, 11.98ex/s]


preprocess datasets #2:  30%|██▉       | 1132/3786 [00:41<01:32, 28.66ex/s]
preprocess datasets #0:  12%|█▏        | 440/3786 [00:41<04:57, 11.25ex/s]



preprocess datasets #3:  32%|███▏      | 1200/3786 [00:41<01:17, 33.17ex/s]


preprocess datasets #2:  30%|██▉       | 1135/3786 [00:41<01:36, 27.37ex/s]

preprocess datasets #1:  13%|█▎        | 491/3786 [00:41<04:26, 12.36ex/s]




preprocess datasets #4:  34%|███▎      | 1276/3785 [00:41<01:11, 35.01ex/s]
preprocess datasets #0:  12%|█▏        | 442/3786 [00:41<05:09, 10.80ex/s]



preprocess datasets #3:  32%|███▏      | 1205/3786 [00:41<01:15, 34.13ex/s]


preprocess datasets #2:  30%|███       | 1138/3786 [00:41<01:38, 26.79ex/s]

preprocess datasets #1:  13%|█▎        | 493/3786 [00:42<04:31, 12.12ex/s]




preprocess datasets #4:  34%|███▍      | 1280/3785 [00:42<01:20, 31.04ex/s]


preprocess datasets #2:  30%|███       | 1141/3786 [00:42<01:36, 27.46ex/s]
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preprocess datasets #3:  32%|███▏      | 1209/3786 [00:42<01:25, 30.25ex/s]

preprocess datasets #1:  13%|█▎        | 495/3786 [00:42<04:06, 13.36ex/s]


preprocess datasets #2:  30%|███       | 1144/3786 [00:42<01:35, 27.70ex/s]




preprocess datasets #4:  34%|███▍      | 1284/3785 [00:42<01:27, 28.55ex/s]
preprocess datasets #0:  12%|█▏        | 446/3786 [00:42<04:46, 11.67ex/s]

preprocess datasets #1:  13%|█▎        | 497/3786 [00:42<04:07, 13.31ex/s]



preprocess datasets #3:  32%|███▏      | 1213/3786 [00:42<01:34, 27.11ex/s]


preprocess datasets #2:  30%|███       | 1147/3786 [00:42<01:40, 26.26ex/s]




preprocess datasets #4:  34%|███▍      | 1288/3785 [00:42<01:23, 30.04ex/s]
preprocess datasets #0:  12%|█▏        | 448/3786 [00:42<04:37, 12.01ex/s]


preprocess datasets #2:  30%|███       | 1152/3786 [00:42<01:24, 31.05ex/s]



preprocess datasets #3:  32%|███▏      | 1216/3786 [00:42<01:44, 24.51ex/s]

preprocess datasets #1:  13%|█▎        | 499/3786 [00:42<04:15, 12.89ex/s]




preprocess datasets #4:  34%|███▍      | 1292/3785 [00:42<01:23, 29.85ex/s]


preprocess datasets #2:  31%|███       | 1156/3786 [00:42<01:23, 31.44ex/s]
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preprocess datasets #3:  32%|███▏      | 1220/3786 [00:42<01:37, 26.24ex/s]




preprocess datasets #4:  34%|███▍      | 1299/3785 [00:42<01:09, 35.70ex/s]


preprocess datasets #2:  31%|███       | 1160/3786 [00:42<01:20, 32.69ex/s]

preprocess datasets #1:  13%|█▎        | 501/3786 [00:42<04:48, 11.37ex/s]



preprocess datasets #3:  32%|███▏      | 1223/3786 [00:42<01:44, 24.56ex/s]




preprocess datasets #4:  34%|███▍      | 1304/3785 [00:42<01:09, 35.45ex/s]
preprocess datasets #0:  12%|█▏        | 452/3786 [00:42<04:49, 11.50ex/s]


preprocess datasets #2:  31%|███       | 1166/3786 [00:42<01:07, 39.00ex/s]


preprocess datasets #2:  31%|███       | 1170/3786 [00:42<01:06, 39.07ex/s]



preprocess datasets #3:  32%|███▏      | 1228/3786 [00:42<01:32, 27.59ex/s]




preprocess datasets #4:  35%|███▍      | 1309/3785 [00:42<01:07, 36.66ex/s]

preprocess datasets #1:  13%|█▎        | 504/3786 [00:42<04:19, 12.65ex/s]
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preprocess datasets #2:  31%|███       | 1175/3786 [00:43<01:06, 39.33ex/s]

preprocess datasets #1:  13%|█▎        | 506/3786 [00:43<04:02, 13.51ex/s]



preprocess datasets #3:  33%|███▎      | 1231/3786 [00:43<01:39, 25.66ex/s]




preprocess datasets #4:  35%|███▍      | 1313/3785 [00:43<01:14, 33.07ex/s]
preprocess datasets #0:  12%|█▏        | 456/3786 [00:43<04:24, 12.57ex/s]


preprocess datasets #2:  31%|███       | 1180/3786 [00:43<01:02, 41.60ex/s]




preprocess datasets #4:  35%|███▍      | 1317/3785 [00:43<01:20, 30.79ex/s]



preprocess datasets #3:  33%|███▎      | 1234/3786 [00:43<01:51, 22.82ex/s]

preprocess datasets #1:  13%|█▎        | 508/3786 [00:43<04:33, 11.98ex/s]


preprocess datasets #2:  31%|███▏      | 1185/3786 [00:43<01:09, 37.32ex/s]



preprocess datasets #3:  33%|███▎      | 1237/3786 [00:43<01:46, 24.01ex/s]




preprocess datasets #4:  35%|███▍      | 1322/3785 [00:43<01:15, 32.80ex/s]
preprocess datasets #0:  12%|█▏        | 458/3786 [00:43<05:35,  9.91ex/s]

preprocess datasets #1:  13%|█▎        | 510/3786 [00:43<04:35, 11.87ex/s]



preprocess datasets #3:  33%|███▎      | 1240/3786 [00:43<01:41, 25.17ex/s]


preprocess datasets #2:  31%|███▏      | 1189/3786 [00:43<01:15, 34.24ex/s]




preprocess datasets #4:  35%|███▌      | 1326/3785 [00:43<01:12, 34.03ex/s]


preprocess datasets #2:  32%|███▏      | 1193/3786 [00:43<01:13, 35.30ex/s]



preprocess datasets #3:  33%|███▎      | 1243/3786 [00:43<01:42, 24.80ex/s]
preprocess datasets #0:  12%|█▏        | 460/3786 [00:43<05:25, 10.21ex/s]




preprocess datasets #4:  35%|███▌      | 1331/3785 [00:43<01:09, 35.20ex/s]

preprocess datasets #1:  14%|█▎        | 512/3786 [00:43<04:42, 11.58ex/s]


preprocess datasets #2:  32%|███▏      | 1197/3786 [00:43<01:18, 33.09ex/s]



preprocess datasets #3:  33%|███▎      | 1247/3786 [00:43<01:37, 25.96ex/s]




preprocess datasets #4:  35%|███▌      | 1335/3785 [00:43<01:12, 34.02ex/s]

preprocess datasets #1:  14%|█▎        | 514/3786 [00:43<04:21, 12.53ex/s]
preprocess datasets #0:  12%|█▏        | 462/3786 [00:43<05:17, 10.47ex/s]


preprocess datasets #2:  32%|███▏      | 1201/3786 [00:43<01:14, 34.48ex/s]



preprocess datasets #3:  33%|███▎      | 1250/3786 [00:43<01:46, 23.84ex/s]

preprocess datasets #1:  14%|█▎        | 516/3786 [00:43<04:08, 13.17ex/s]




preprocess datasets #4:  35%|███▌      | 1339/3785 [00:43<01:17, 31.60ex/s]
preprocess datasets #0:  12%|█▏        | 464/3786 [00:43<04:42, 11.76ex/s]



preprocess datasets #3:  33%|███▎      | 1254/3786 [00:43<01:36, 26.32ex/s]




preprocess datasets #4:  36%|███▌      | 1344/3785 [00:43<01:09, 34.90ex/s]
preprocess datasets #0:  12%|█▏        | 466/3786 [00:44<04:19, 12.79ex/s]


preprocess datasets #2:  32%|███▏      | 1205/3786 [00:44<01:35, 27.05ex/s]

preprocess datasets #1:  14%|█▎        | 518/3786 [00:44<04:33, 11.95ex/s]



preprocess datasets #3:  33%|███▎      | 1257/3786 [00:44<01:41, 24.81ex/s]




preprocess datasets #4:  36%|███▌      | 1348/3785 [00:44<01:17, 31.52ex/s]
preprocess datasets #0:  12%|█▏        | 468/3786 [00:44<04:27, 12.40ex/s]


preprocess datasets #2:  32%|███▏      | 1209/3786 [00:44<01:41, 25.27ex/s]

preprocess datasets #1:  14%|█▎        | 520/3786 [00:44<04:13, 12.87ex/s]



preprocess datasets #3:  33%|███▎      | 1260/3786 [00:44<01:37, 25.79ex/s]




preprocess datasets #4:  36%|███▌      | 1353/3785 [00:44<01:07, 35.80ex/s]


preprocess datasets #2:  32%|███▏      | 1212/3786 [00:44<01:40, 25.57ex/s]



preprocess datasets #3:  33%|███▎      | 1263/3786 [00:44<01:35, 26.50ex/s]
preprocess datasets #0:  12%|█▏        | 470/3786 [00:44<04:44, 11.67ex/s]

preprocess datasets #1:  14%|█▍        | 522/3786 [00:44<04:23, 12.37ex/s]




preprocess datasets #4:  36%|███▌      | 1357/3785 [00:44<01:16, 31.66ex/s]


preprocess datasets #2:  32%|███▏      | 1215/3786 [00:44<01:38, 26.06ex/s]



preprocess datasets #3:  33%|███▎      | 1266/3786 [00:44<01:38, 25.53ex/s]




preprocess datasets #4:  36%|███▌      | 1363/3785 [00:44<01:03, 38.27ex/s]


preprocess datasets #2:  32%|███▏      | 1220/3786 [00:44<01:22, 31.14ex/s]

preprocess datasets #1:  14%|█▍        | 524/3786 [00:44<04:22, 12.42ex/s]
preprocess datasets #0:  12%|█▏        | 472/3786 [00:44<04:43, 11.69ex/s]



preprocess datasets #3:  34%|███▎      | 1269/3786 [00:44<01:39, 25.17ex/s]




preprocess datasets #4:  36%|███▌      | 1368/3785 [00:44<00:59, 40.35ex/s]

preprocess datasets #1:  14%|█▍        | 526/3786 [00:44<04:11, 12.97ex/s]


preprocess datasets #2:  32%|███▏      | 1224/3786 [00:44<01:28, 28.99ex/s]



preprocess datasets #3:  34%|███▎      | 1274/3786 [00:44<01:23, 30.21ex/s]
preprocess datasets #0:  13%|█▎        | 474/3786 [00:44<04:47, 11.52ex/s]




preprocess datasets #4:  36%|███▋      | 1373/3785 [00:44<00:59, 40.55ex/s]


preprocess datasets #2:  32%|███▏      | 1228/3786 [00:44<01:28, 28.79ex/s]



preprocess datasets #3:  34%|███▍      | 1278/3786 [00:44<01:36, 25.92ex/s]




preprocess datasets #4:  36%|███▋      | 1378/3785 [00:44<01:05, 36.72ex/s]

preprocess datasets #1:  14%|█▍        | 528/3786 [00:44<04:51, 11.17ex/s]
preprocess datasets #0:  13%|█▎        | 476/3786 [00:44<04:56, 11.15ex/s]


preprocess datasets #2:  33%|███▎      | 1231/3786 [00:44<01:32, 27.74ex/s]



preprocess datasets #3:  34%|███▍      | 1281/3786 [00:45<01:45, 23.77ex/s]
preprocess datasets #0:  13%|█▎        | 478/3786 [00:45<04:43, 11.69ex/s]


preprocess datasets #2:  33%|███▎      | 1234/3786 [00:45<01:41, 25.24ex/s]

preprocess datasets #1:  14%|█▍        | 530/3786 [00:45<05:21, 10.12ex/s]



preprocess datasets #3:  34%|███▍      | 1284/3786 [00:45<01:42, 24.43ex/s]




preprocess datasets #4:  37%|███▋      | 1382/3785 [00:45<01:32, 25.88ex/s]


preprocess datasets #2:  33%|███▎      | 1237/3786 [00:45<01:41, 25.03ex/s]
preprocess datasets #0:  13%|█▎        | 480/3786 [00:45<04:39, 11.81ex/s]



preprocess datasets #3:  34%|███▍      | 1287/3786 [00:45<01:40, 24.79ex/s]


preprocess datasets #2:  33%|███▎      | 1242/3786 [00:45<01:25, 29.62ex/s]




preprocess datasets #4:  37%|███▋      | 1386/3785 [00:45<01:37, 24.57ex/s]

preprocess datasets #1:  14%|█▍        | 532/3786 [00:45<05:42,  9.51ex/s]
preprocess datasets #0:  13%|█▎        | 482/3786 [00:45<04:48, 11.47ex/s]



preprocess datasets #3:  34%|███▍      | 1291/3786 [00:45<01:35, 26.08ex/s]


preprocess datasets #2:  33%|███▎      | 1246/3786 [00:45<01:31, 27.72ex/s]




preprocess datasets #4:  37%|███▋      | 1391/3785 [00:45<01:29, 26.69ex/s]



preprocess datasets #3:  34%|███▍      | 1294/3786 [00:45<01:39, 24.97ex/s]
preprocess datasets #0:  13%|█▎        | 484/3786 [00:45<04:42, 11.69ex/s]

preprocess datasets #1:  14%|█▍        | 534/3786 [00:45<05:38,  9.60ex/s]


preprocess datasets #2:  33%|███▎      | 1250/3786 [00:45<01:24, 29.90ex/s]



preprocess datasets #3:  34%|███▍      | 1298/3786 [00:45<01:32, 26.83ex/s]
preprocess datasets #0:  13%|█▎        | 486/3786 [00:45<04:10, 13.17ex/s]




preprocess datasets #4:  37%|███▋      | 1394/3785 [00:45<01:37, 24.42ex/s]

preprocess datasets #1:  14%|█▍        | 535/3786 [00:45<05:41,  9.52ex/s]


preprocess datasets #2:  33%|███▎      | 1254/3786 [00:45<01:32, 27.49ex/s]




preprocess datasets #4:  37%|███▋      | 1397/3785 [00:45<01:36, 24.69ex/s]



preprocess datasets #3:  34%|███▍      | 1301/3786 [00:45<01:43, 24.05ex/s]
preprocess datasets #0:  13%|█▎        | 488/3786 [00:45<04:22, 12.58ex/s]


preprocess datasets #2:  33%|███▎      | 1257/3786 [00:45<01:30, 27.99ex/s]




preprocess datasets #4:  37%|███▋      | 1400/3785 [00:45<01:32, 25.78ex/s]

preprocess datasets #1:  14%|█▍        | 537/3786 [00:45<05:52,  9.23ex/s]



preprocess datasets #3:  34%|███▍      | 1304/3786 [00:45<01:45, 23.48ex/s]


preprocess datasets #2:  33%|███▎      | 1260/3786 [00:45<01:30, 27.77ex/s]
preprocess datasets #0:  13%|█▎        | 490/3786 [00:46<04:20, 12.64ex/s]

preprocess datasets #1:  14%|█▍        | 538/3786 [00:46<06:00,  9.02ex/s]




preprocess datasets #4:  37%|███▋      | 1404/3785 [00:46<01:32, 25.83ex/s]



preprocess datasets #3:  35%|███▍      | 1307/3786 [00:46<01:44, 23.77ex/s]


preprocess datasets #2:  33%|███▎      | 1264/3786 [00:46<01:24, 29.93ex/s]




preprocess datasets #4:  37%|███▋      | 1408/3785 [00:46<01:25, 27.81ex/s]



preprocess datasets #3:  35%|███▍      | 1311/3786 [00:46<01:32, 26.83ex/s]


preprocess datasets #2:  33%|███▎      | 1268/3786 [00:46<01:22, 30.53ex/s]
preprocess datasets #0:  13%|█▎        | 492/3786 [00:46<05:01, 10.91ex/s]




preprocess datasets #4:  37%|███▋      | 1412/3785 [00:46<01:23, 28.40ex/s]



preprocess datasets #3:  35%|███▍      | 1314/3786 [00:46<01:29, 27.57ex/s]

preprocess datasets #1:  14%|█▍        | 540/3786 [00:46<06:23,  8.45ex/s]


preprocess datasets #2:  34%|███▎      | 1272/3786 [00:46<01:26, 28.95ex/s]




preprocess datasets #4:  37%|███▋      | 1415/3785 [00:46<01:25, 27.56ex/s]

preprocess datasets #1:  14%|█▍        | 541/3786 [00:46<06:26,  8.39ex/s]



preprocess datasets #3:  35%|███▍      | 1319/3786 [00:46<01:20, 30.52ex/s]
preprocess datasets #0:  13%|█▎        | 494/3786 [00:46<05:15, 10.44ex/s]


preprocess datasets #2:  34%|███▎      | 1276/3786 [00:46<01:23, 29.92ex/s]



preprocess datasets #3:  35%|███▍      | 1323/3786 [00:46<01:19, 30.87ex/s]




preprocess datasets #4:  37%|███▋      | 1419/3785 [00:46<01:26, 27.30ex/s]

preprocess datasets #1:  14%|█▍        | 543/3786 [00:46<05:42,  9.47ex/s]


preprocess datasets #2:  34%|███▍      | 1280/3786 [00:46<01:24, 29.53ex/s]



preprocess datasets #3:  35%|███▌      | 1328/3786 [00:46<01:11, 34.57ex/s]
preprocess datasets #0:  13%|█▎        | 496/3786 [00:46<05:30,  9.96ex/s]




preprocess datasets #4:  38%|███▊      | 1422/3785 [00:46<01:26, 27.24ex/s]

preprocess datasets #1:  14%|█▍        | 544/3786 [00:46<05:47,  9.32ex/s]


preprocess datasets #2:  34%|███▍      | 1283/3786 [00:46<01:35, 26.10ex/s]



preprocess datasets #3:  35%|███▌      | 1333/3786 [00:46<01:08, 35.93ex/s]

preprocess datasets #1:  14%|█▍        | 545/3786 [00:46<05:45,  9.39ex/s]




preprocess datasets #4:  38%|███▊      | 1425/3785 [00:46<01:34, 24.91ex/s]


preprocess datasets #2:  34%|███▍      | 1286/3786 [00:46<01:32, 26.91ex/s]
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preprocess datasets #3:  35%|███▌      | 1338/3786 [00:46<01:02, 39.18ex/s]




preprocess datasets #4:  38%|███▊      | 1428/3785 [00:46<01:35, 24.75ex/s]
preprocess datasets #0:  13%|█▎        | 499/3786 [00:47<05:44,  9.54ex/s]


preprocess datasets #2:  34%|███▍      | 1289/3786 [00:47<01:42, 24.27ex/s]

preprocess datasets #1:  14%|█▍        | 547/3786 [00:47<06:12,  8.69ex/s]



preprocess datasets #3:  35%|███▌      | 1342/3786 [00:47<01:11, 34.00ex/s]




preprocess datasets #4:  38%|███▊      | 1431/3785 [00:47<01:37, 24.22ex/s]
preprocess datasets #0:  13%|█▎        | 500/3786 [00:47<05:47,  9.45ex/s]


preprocess datasets #2:  34%|███▍      | 1293/3786 [00:47<01:30, 27.61ex/s]

preprocess datasets #1:  14%|█▍        | 548/3786 [00:47<06:04,  8.87ex/s]




preprocess datasets #4:  38%|███▊      | 1436/3785 [00:47<01:22, 28.63ex/s]



preprocess datasets #3:  36%|███▌      | 1346/3786 [00:47<01:18, 30.96ex/s]


preprocess datasets #2:  34%|███▍      | 1296/3786 [00:47<01:29, 27.72ex/s]




preprocess datasets #4:  38%|███▊      | 1440/3785 [00:47<01:20, 29.10ex/s]



preprocess datasets #3:  36%|███▌      | 1350/3786 [00:47<01:18, 31.21ex/s]


preprocess datasets #2:  34%|███▍      | 1299/3786 [00:47<01:28, 28.15ex/s]
preprocess datasets #0:  13%|█▎        | 502/3786 [00:47<06:26,  8.49ex/s]

preprocess datasets #1:  15%|█▍        | 550/3786 [00:47<06:36,  8.15ex/s]




preprocess datasets #4:  38%|███▊      | 1443/3785 [00:47<01:22, 28.29ex/s]


preprocess datasets #2:  34%|███▍      | 1303/3786 [00:47<01:23, 29.84ex/s]
preprocess datasets #0:  13%|█▎        | 503/3786 [00:47<06:15,  8.75ex/s]



preprocess datasets #3:  36%|███▌      | 1354/3786 [00:47<01:23, 29.07ex/s]




preprocess datasets #4:  38%|███▊      | 1446/3785 [00:47<01:23, 28.14ex/s]


preprocess datasets #2:  35%|███▍      | 1308/3786 [00:47<01:15, 33.02ex/s]



preprocess datasets #3:  36%|███▌      | 1358/3786 [00:47<01:24, 28.80ex/s]




preprocess datasets #4:  38%|███▊      | 1450/3785 [00:47<01:18, 29.70ex/s]


preprocess datasets #2:  35%|███▍      | 1314/3786 [00:47<01:01, 39.93ex/s]
preprocess datasets #0:  13%|█▎        | 505/3786 [00:47<06:23,  8.56ex/s]

preprocess datasets #1:  15%|█▍        | 551/3786 [00:47<08:48,  6.12ex/s]



preprocess datasets #3:  36%|███▌      | 1362/3786 [00:47<01:23, 28.89ex/s]




preprocess datasets #4:  38%|███▊      | 1454/3785 [00:47<01:15, 30.87ex/s]


preprocess datasets #2:  35%|███▍      | 1321/3786 [00:47<00:51, 47.95ex/s]

preprocess datasets #1:  15%|█▍        | 552/3786 [00:47<08:25,  6.39ex/s]
preprocess datasets #0:  13%|█▎        | 507/3786 [00:47<05:47,  9.42ex/s]



preprocess datasets #3:  36%|███▌      | 1365/3786 [00:47<01:29, 27.03ex/s]




preprocess datasets #4:  39%|███▊      | 1458/3785 [00:47<01:19, 29.37ex/s]

preprocess datasets #1:  15%|█▍        | 553/3786 [00:48<07:59,  6.74ex/s]
preprocess datasets #0:  13%|█▎        | 509/3786 [00:48<04:47, 11.39ex/s]



preprocess datasets #3:  36%|███▌      | 1368/3786 [00:48<01:28, 27.33ex/s]


preprocess datasets #2:  35%|███▌      | 1326/3786 [00:48<01:08, 36.15ex/s]




preprocess datasets #4:  39%|███▊      | 1461/3785 [00:48<01:20, 28.75ex/s]
preprocess datasets #0:  13%|█▎        | 511/3786 [00:48<04:30, 12.09ex/s]




preprocess datasets #4:  39%|███▊      | 1465/3785 [00:48<01:18, 29.64ex/s]



preprocess datasets #3:  36%|███▌      | 1371/3786 [00:48<01:43, 23.43ex/s]


preprocess datasets #2:  35%|███▌      | 1331/3786 [00:48<01:14, 32.88ex/s]

preprocess datasets #1:  15%|█▍        | 555/3786 [00:48<07:11,  7.49ex/s]




preprocess datasets #4:  39%|███▉      | 1469/3785 [00:48<01:12, 31.76ex/s]
preprocess datasets #0:  14%|█▎        | 513/3786 [00:48<04:31, 12.07ex/s]


preprocess datasets #2:  35%|███▌      | 1336/3786 [00:48<01:09, 35.24ex/s]



preprocess datasets #3:  36%|███▋      | 1375/3786 [00:48<01:39, 24.26ex/s]




preprocess datasets #4:  39%|███▉      | 1473/3785 [00:48<01:09, 33.42ex/s]

preprocess datasets #1:  15%|█▍        | 557/3786 [00:48<06:42,  8.02ex/s]
preprocess datasets #0:  14%|█▎        | 515/3786 [00:48<04:21, 12.49ex/s]



preprocess datasets #3:  36%|███▋      | 1378/3786 [00:48<01:40, 24.05ex/s]


preprocess datasets #2:  35%|███▌      | 1340/3786 [00:48<01:16, 31.79ex/s]




preprocess datasets #4:  39%|███▉      | 1477/3785 [00:48<01:08, 33.55ex/s]
preprocess datasets #0:  14%|█▎        | 517/3786 [00:48<04:07, 13.20ex/s]



preprocess datasets #3:  36%|███▋      | 1381/3786 [00:48<01:44, 23.06ex/s]




preprocess datasets #4:  39%|███▉      | 1481/3785 [00:48<01:10, 32.90ex/s]

preprocess datasets #1:  15%|█▍        | 559/3786 [00:48<06:09,  8.74ex/s]


preprocess datasets #2:  35%|███▌      | 1344/3786 [00:48<01:24, 28.88ex/s]

preprocess datasets #1:  15%|█▍        | 560/3786 [00:48<06:09,  8.74ex/s]



preprocess datasets #3:  37%|███▋      | 1384/3786 [00:48<01:47, 22.42ex/s]
preprocess datasets #0:  14%|█▎        | 519/3786 [00:48<04:23, 12.42ex/s]




preprocess datasets #4:  39%|███▉      | 1485/3785 [00:48<01:14, 31.02ex/s]


preprocess datasets #2:  36%|███▌      | 1348/3786 [00:48<01:28, 27.52ex/s]



preprocess datasets #3:  37%|███▋      | 1387/3786 [00:48<01:40, 23.89ex/s]

preprocess datasets #1:  15%|█▍        | 561/3786 [00:48<06:18,  8.53ex/s]




preprocess datasets #4:  39%|███▉      | 1490/3785 [00:48<01:10, 32.63ex/s]


preprocess datasets #2:  36%|███▌      | 1352/3786 [00:48<01:23, 29.23ex/s]
preprocess datasets #0:  14%|█▍        | 521/3786 [00:49<04:37, 11.77ex/s]



preprocess datasets #3:  37%|███▋      | 1390/3786 [00:48<01:35, 25.00ex/s]

preprocess datasets #1:  15%|█▍        | 562/3786 [00:49<06:21,  8.45ex/s]


preprocess datasets #2:  36%|███▌      | 1358/3786 [00:49<01:07, 35.98ex/s]




preprocess datasets #4:  39%|███▉      | 1494/3785 [00:49<01:14, 30.59ex/s]



preprocess datasets #3:  37%|███▋      | 1394/3786 [00:49<01:24, 28.29ex/s]
preprocess datasets #0:  14%|█▍        | 523/3786 [00:49<04:41, 11.59ex/s]


preprocess datasets #2:  36%|███▌      | 1362/3786 [00:49<01:08, 35.36ex/s]

preprocess datasets #1:  15%|█▍        | 564/3786 [00:49<06:18,  8.51ex/s]




preprocess datasets #4:  40%|███▉      | 1498/3785 [00:49<01:22, 27.74ex/s]



preprocess datasets #3:  37%|███▋      | 1397/3786 [00:49<01:39, 24.12ex/s]
preprocess datasets #0:  14%|█▍        | 525/3786 [00:49<04:40, 11.63ex/s]


preprocess datasets #2:  36%|███▌      | 1366/3786 [00:49<01:16, 31.56ex/s]




preprocess datasets #4:  40%|███▉      | 1503/3785 [00:49<01:12, 31.45ex/s]

preprocess datasets #1:  15%|█▍        | 565/3786 [00:49<07:04,  7.58ex/s]



preprocess datasets #3:  37%|███▋      | 1400/3786 [00:49<01:46, 22.36ex/s]


preprocess datasets #2:  36%|███▌      | 1370/3786 [00:49<01:12, 33.38ex/s]
preprocess datasets #0:  14%|█▍        | 527/3786 [00:49<04:23, 12.37ex/s]




preprocess datasets #4:  40%|███▉      | 1507/3785 [00:49<01:10, 32.48ex/s]



preprocess datasets #3:  37%|███▋      | 1403/3786 [00:49<01:42, 23.19ex/s]


preprocess datasets #2:  36%|███▋      | 1374/3786 [00:49<01:16, 31.43ex/s]




preprocess datasets #4:  40%|███▉      | 1513/3785 [00:49<01:01, 36.80ex/s]

preprocess datasets #1:  15%|█▍        | 567/3786 [00:49<06:30,  8.24ex/s]
preprocess datasets #0:  14%|█▍        | 529/3786 [00:49<04:38, 11.68ex/s]



preprocess datasets #3:  37%|███▋      | 1407/3786 [00:49<01:33, 25.45ex/s]


preprocess datasets #2:  36%|███▋      | 1378/3786 [00:49<01:21, 29.63ex/s]

preprocess datasets #1:  15%|█▌        | 568/3786 [00:49<06:46,  7.92ex/s]




preprocess datasets #4:  40%|████      | 1517/3785 [00:49<01:09, 32.51ex/s]
preprocess datasets #0:  14%|█▍        | 531/3786 [00:49<04:29, 12.08ex/s]



preprocess datasets #3:  37%|███▋      | 1412/3786 [00:49<01:22, 28.92ex/s]


preprocess datasets #2:  37%|███▋      | 1382/3786 [00:49<01:23, 28.64ex/s]




preprocess datasets #4:  40%|████      | 1521/3785 [00:49<01:10, 32.20ex/s]



preprocess datasets #3:  37%|███▋      | 1415/3786 [00:49<01:24, 28.20ex/s]

preprocess datasets #1:  15%|█▌        | 570/3786 [00:49<05:51,  9.16ex/s]
preprocess datasets #0:  14%|█▍        | 533/3786 [00:49<04:15, 12.75ex/s]


preprocess datasets #2:  37%|███▋      | 1385/3786 [00:50<01:24, 28.32ex/s]



preprocess datasets #3:  37%|███▋      | 1418/3786 [00:50<01:24, 27.92ex/s]

preprocess datasets #1:  15%|█▌        | 571/3786 [00:50<06:02,  8.88ex/s]




preprocess datasets #4:  40%|████      | 1525/3785 [00:50<01:19, 28.40ex/s]


preprocess datasets #2:  37%|███▋      | 1389/3786 [00:50<01:20, 29.73ex/s]



preprocess datasets #3:  38%|███▊      | 1422/3786 [00:50<01:18, 30.23ex/s]
preprocess datasets #0:  14%|█▍        | 535/3786 [00:50<04:52, 11.10ex/s]




preprocess datasets #4:  40%|████      | 1528/3785 [00:50<01:21, 27.53ex/s]

preprocess datasets #1:  15%|█▌        | 573/3786 [00:50<05:30,  9.72ex/s]


preprocess datasets #2:  37%|███▋      | 1393/3786 [00:50<01:19, 29.97ex/s]



preprocess datasets #3:  38%|███▊      | 1427/3786 [00:50<01:08, 34.53ex/s]
preprocess datasets #0:  14%|█▍        | 537/3786 [00:50<04:37, 11.71ex/s]




preprocess datasets #4:  40%|████      | 1532/3785 [00:50<01:19, 28.35ex/s]


preprocess datasets #2:  37%|███▋      | 1397/3786 [00:50<01:17, 30.74ex/s]



preprocess datasets #3:  38%|███▊      | 1431/3786 [00:50<01:08, 34.37ex/s]




preprocess datasets #4:  41%|████      | 1535/3785 [00:50<01:18, 28.71ex/s]

preprocess datasets #1:  15%|█▌        | 575/3786 [00:50<05:30,  9.72ex/s]
preprocess datasets #0:  14%|█▍        | 539/3786 [00:50<04:27, 12.15ex/s]


preprocess datasets #2:  37%|███▋      | 1401/3786 [00:50<01:19, 29.92ex/s]



preprocess datasets #3:  38%|███▊      | 1435/3786 [00:50<01:13, 31.89ex/s]




preprocess datasets #4:  41%|████      | 1538/3785 [00:50<01:21, 27.43ex/s]
preprocess datasets #0:  14%|█▍        | 541/3786 [00:50<04:03, 13.34ex/s]

preprocess datasets #1:  15%|█▌        | 576/3786 [00:50<06:02,  8.85ex/s]



preprocess datasets #3:  38%|███▊      | 1439/3786 [00:50<01:13, 31.90ex/s]


preprocess datasets #2:  37%|███▋      | 1405/3786 [00:50<01:22, 28.80ex/s]
preprocess datasets #0:  14%|█▍        | 544/3786 [00:50<03:10, 17.01ex/s]




preprocess datasets #4:  41%|████      | 1542/3785 [00:50<01:20, 27.86ex/s]

preprocess datasets #1:  15%|█▌        | 577/3786 [00:50<06:13,  8.58ex/s]



preprocess datasets #3:  38%|███▊      | 1443/3786 [00:50<01:14, 31.54ex/s]


preprocess datasets #2:  37%|███▋      | 1409/3786 [00:50<01:18, 30.42ex/s]




preprocess datasets #4:  41%|████      | 1545/3785 [00:50<01:21, 27.65ex/s]

preprocess datasets #1:  15%|█▌        | 578/3786 [00:50<06:07,  8.72ex/s]
preprocess datasets #0:  14%|█▍        | 547/3786 [00:50<03:09, 17.10ex/s]



preprocess datasets #3:  38%|███▊      | 1447/3786 [00:50<01:12, 32.27ex/s]


preprocess datasets #2:  37%|███▋      | 1414/3786 [00:50<01:14, 32.05ex/s]




preprocess datasets #4:  41%|████      | 1548/3785 [00:50<01:23, 26.73ex/s]

preprocess datasets #1:  15%|█▌        | 579/3786 [00:51<06:29,  8.24ex/s]
preprocess datasets #0:  15%|█▍        | 549/3786 [00:51<03:23, 15.92ex/s]



preprocess datasets #3:  38%|███▊      | 1451/3786 [00:51<01:13, 31.63ex/s]




preprocess datasets #4:  41%|████      | 1551/3785 [00:51<01:24, 26.36ex/s]


preprocess datasets #2:  37%|███▋      | 1418/3786 [00:51<01:24, 27.96ex/s]



preprocess datasets #3:  38%|███▊      | 1455/3786 [00:51<01:12, 32.16ex/s]

preprocess datasets #1:  15%|█▌        | 581/3786 [00:51<05:55,  9.02ex/s]




preprocess datasets #4:  41%|████      | 1555/3785 [00:51<01:21, 27.26ex/s]
preprocess datasets #0:  15%|█▍        | 551/3786 [00:51<03:44, 14.39ex/s]


preprocess datasets #2:  38%|███▊      | 1422/3786 [00:51<01:19, 29.61ex/s]



preprocess datasets #3:  39%|███▊      | 1459/3786 [00:51<01:15, 30.96ex/s]




preprocess datasets #4:  41%|████      | 1558/3785 [00:51<01:24, 26.51ex/s]

preprocess datasets #1:  15%|█▌        | 582/3786 [00:51<06:28,  8.24ex/s]
preprocess datasets #0:  15%|█▍        | 553/3786 [00:51<03:49, 14.11ex/s]


preprocess datasets #2:  38%|███▊      | 1426/3786 [00:51<01:24, 27.93ex/s]




preprocess datasets #4:  41%|████▏     | 1563/3785 [00:51<01:12, 30.61ex/s]

preprocess datasets #1:  15%|█▌        | 583/3786 [00:51<06:39,  8.02ex/s]



preprocess datasets #3:  39%|███▊      | 1463/3786 [00:51<01:27, 26.64ex/s]


preprocess datasets #2:  38%|███▊      | 1431/3786 [00:51<01:18, 29.83ex/s]
preprocess datasets #0:  15%|█▍        | 555/3786 [00:51<04:21, 12.38ex/s]




preprocess datasets #4:  41%|████▏     | 1567/3785 [00:51<01:19, 27.85ex/s]



preprocess datasets #3:  39%|███▊      | 1466/3786 [00:51<01:31, 25.48ex/s]

preprocess datasets #1:  15%|█▌        | 585/3786 [00:51<05:52,  9.08ex/s]
preprocess datasets #0:  15%|█▍        | 557/3786 [00:51<04:06, 13.12ex/s]


preprocess datasets #2:  38%|███▊      | 1435/3786 [00:51<01:23, 28.05ex/s]



preprocess datasets #3:  39%|███▉      | 1470/3786 [00:51<01:23, 27.81ex/s]




preprocess datasets #4:  41%|████▏     | 1570/3785 [00:51<01:23, 26.44ex/s]


preprocess datasets #2:  38%|███▊      | 1439/3786 [00:51<01:16, 30.67ex/s]
preprocess datasets #0:  15%|█▍        | 559/3786 [00:51<04:04, 13.22ex/s]



preprocess datasets #3:  39%|███▉      | 1475/3786 [00:51<01:11, 32.46ex/s]

preprocess datasets #1:  16%|█▌        | 587/3786 [00:51<05:47,  9.21ex/s]




preprocess datasets #4:  42%|████▏     | 1574/3785 [00:51<01:20, 27.33ex/s]


preprocess datasets #2:  38%|███▊      | 1443/3786 [00:51<01:20, 29.27ex/s]



preprocess datasets #3:  39%|███▉      | 1480/3786 [00:51<01:05, 35.44ex/s]




preprocess datasets #4:  42%|████▏     | 1579/3785 [00:51<01:09, 31.61ex/s]
preprocess datasets #0:  15%|█▍        | 561/3786 [00:52<04:15, 12.60ex/s]

preprocess datasets #1:  16%|█▌        | 589/3786 [00:52<05:31,  9.64ex/s]



preprocess datasets #3:  39%|███▉      | 1485/3786 [00:52<00:59, 38.60ex/s]

preprocess datasets #1:  16%|█▌        | 590/3786 [00:52<05:50,  9.12ex/s]



preprocess datasets #3:  39%|███▉      | 1490/3786 [00:52<00:58, 39.51ex/s]




preprocess datasets #4:  42%|████▏     | 1583/3785 [00:52<01:20, 27.32ex/s]
preprocess datasets #0:  15%|█▍        | 563/3786 [00:52<04:23, 12.25ex/s]


preprocess datasets #2:  38%|███▊      | 1447/3786 [00:52<01:37, 23.88ex/s]


preprocess datasets #2:  38%|███▊      | 1452/3786 [00:52<01:21, 28.68ex/s]



preprocess datasets #3:  40%|███▉      | 1496/3786 [00:52<00:55, 41.58ex/s]




preprocess datasets #4:  42%|████▏     | 1587/3785 [00:52<01:17, 28.26ex/s]
preprocess datasets #0:  15%|█▍        | 565/3786 [00:52<04:29, 11.95ex/s]

preprocess datasets #1:  16%|█▌        | 592/3786 [00:52<05:39,  9.41ex/s]


preprocess datasets #2:  38%|███▊      | 1456/3786 [00:52<01:16, 30.31ex/s]




preprocess datasets #4:  42%|████▏     | 1590/3785 [00:52<01:26, 25.43ex/s]

preprocess datasets #1:  16%|█▌        | 593/3786 [00:52<05:43,  9.30ex/s]



preprocess datasets #3:  40%|███▉      | 1501/3786 [00:52<01:02, 36.40ex/s]


preprocess datasets #2:  39%|███▊      | 1462/3786 [00:52<01:02, 36.94ex/s]
preprocess datasets #0:  15%|█▍        | 567/3786 [00:52<04:37, 11.61ex/s]




preprocess datasets #4:  42%|████▏     | 1593/3785 [00:52<01:24, 25.80ex/s]

preprocess datasets #1:  16%|█▌        | 594/3786 [00:52<05:42,  9.31ex/s]


preprocess datasets #2:  39%|███▊      | 1467/3786 [00:52<01:00, 38.55ex/s]



preprocess datasets #3:  40%|███▉      | 1506/3786 [00:52<01:03, 36.05ex/s]
preprocess datasets #0:  15%|█▌        | 569/3786 [00:52<04:20, 12.36ex/s]




preprocess datasets #4:  42%|████▏     | 1598/3785 [00:52<01:10, 30.94ex/s]

preprocess datasets #1:  16%|█▌        | 595/3786 [00:52<05:39,  9.39ex/s]



preprocess datasets #3:  40%|███▉      | 1510/3786 [00:52<01:10, 32.15ex/s]




preprocess datasets #4:  42%|████▏     | 1602/3785 [00:52<01:10, 31.10ex/s]


preprocess datasets #2:  39%|███▉      | 1472/3786 [00:52<01:08, 33.69ex/s]
preprocess datasets #0:  15%|█▌        | 571/3786 [00:52<04:43, 11.35ex/s]

preprocess datasets #1:  16%|█▌        | 597/3786 [00:52<05:50,  9.10ex/s]


preprocess datasets #2:  39%|███▉      | 1477/3786 [00:52<01:04, 35.91ex/s]



preprocess datasets #3:  40%|███▉      | 1514/3786 [00:52<01:22, 27.67ex/s]




preprocess datasets #4:  42%|████▏     | 1606/3785 [00:53<01:21, 26.77ex/s]

preprocess datasets #1:  16%|█▌        | 598/3786 [00:53<06:01,  8.82ex/s]
preprocess datasets #0:  15%|█▌        | 573/3786 [00:53<04:50, 11.06ex/s]


preprocess datasets #2:  39%|███▉      | 1481/3786 [00:53<01:11, 32.30ex/s]



preprocess datasets #3:  40%|████      | 1517/3786 [00:53<01:23, 27.26ex/s]




preprocess datasets #4:  43%|████▎     | 1610/3785 [00:53<01:14, 29.37ex/s]

preprocess datasets #1:  16%|█▌        | 599/3786 [00:53<06:25,  8.27ex/s]



preprocess datasets #3:  40%|████      | 1520/3786 [00:53<01:25, 26.64ex/s]




preprocess datasets #4:  43%|████▎     | 1615/3785 [00:53<01:05, 33.11ex/s]


preprocess datasets #2:  39%|███▉      | 1486/3786 [00:53<01:08, 33.39ex/s]
preprocess datasets #0:  15%|█▌        | 575/3786 [00:53<05:03, 10.56ex/s]



preprocess datasets #3:  40%|████      | 1523/3786 [00:53<01:23, 27.13ex/s]


preprocess datasets #2:  39%|███▉      | 1491/3786 [00:53<01:02, 36.76ex/s]




preprocess datasets #4:  43%|████▎     | 1619/3785 [00:53<01:10, 30.61ex/s]

preprocess datasets #1:  16%|█▌        | 601/3786 [00:53<06:15,  8.49ex/s]



preprocess datasets #3:  40%|████      | 1527/3786 [00:53<01:16, 29.48ex/s]


preprocess datasets #2:  39%|███▉      | 1495/3786 [00:53<01:01, 37.00ex/s]
preprocess datasets #0:  15%|█▌        | 577/3786 [00:53<05:32,  9.66ex/s]




preprocess datasets #4:  43%|████▎     | 1623/3785 [00:53<01:15, 28.45ex/s]

preprocess datasets #1:  16%|█▌        | 602/3786 [00:53<06:28,  8.19ex/s]


preprocess datasets #2:  40%|███▉      | 1500/3786 [00:53<00:59, 38.18ex/s]



preprocess datasets #3:  40%|████      | 1531/3786 [00:53<01:15, 29.72ex/s]




preprocess datasets #4:  43%|████▎     | 1628/3785 [00:53<01:06, 32.53ex/s]

preprocess datasets #1:  16%|█▌        | 603/3786 [00:53<06:23,  8.31ex/s]
preprocess datasets #0:  15%|█▌        | 579/3786 [00:53<05:04, 10.52ex/s]


preprocess datasets #2:  40%|███▉      | 1504/3786 [00:53<01:03, 35.98ex/s]



preprocess datasets #3:  41%|████      | 1535/3786 [00:53<01:22, 27.27ex/s]
preprocess datasets #0:  15%|█▌        | 581/3786 [00:53<04:24, 12.13ex/s]


preprocess datasets #2:  40%|███▉      | 1508/3786 [00:53<01:06, 34.03ex/s]

preprocess datasets #1:  16%|█▌        | 605/3786 [00:53<05:36,  9.44ex/s]




preprocess datasets #4:  43%|████▎     | 1632/3785 [00:53<01:20, 26.83ex/s]



preprocess datasets #3:  41%|████      | 1539/3786 [00:53<01:19, 28.13ex/s]
preprocess datasets #0:  15%|█▌        | 584/3786 [00:53<03:41, 14.44ex/s]




preprocess datasets #4:  43%|████▎     | 1636/3785 [00:53<01:12, 29.59ex/s]


preprocess datasets #2:  40%|███▉      | 1512/3786 [00:54<01:13, 31.04ex/s]



preprocess datasets #3:  41%|████      | 1543/3786 [00:54<01:16, 29.19ex/s]

preprocess datasets #1:  16%|█▌        | 607/3786 [00:54<05:34,  9.52ex/s]


preprocess datasets #2:  40%|████      | 1516/3786 [00:54<01:08, 32.93ex/s]
preprocess datasets #0:  15%|█▌        | 586/3786 [00:54<03:49, 13.94ex/s]




preprocess datasets #4:  43%|████▎     | 1640/3785 [00:54<01:10, 30.37ex/s]



preprocess datasets #3:  41%|████      | 1550/3786 [00:54<01:04, 34.88ex/s]

preprocess datasets #1:  16%|█▌        | 609/3786 [00:54<04:57, 10.66ex/s]


preprocess datasets #2:  40%|████      | 1522/3786 [00:54<00:58, 38.48ex/s]
preprocess datasets #0:  16%|█▌        | 588/3786 [00:54<03:56, 13.51ex/s]




preprocess datasets #4:  43%|████▎     | 1644/3785 [00:54<01:14, 28.78ex/s]



preprocess datasets #3:  41%|████      | 1554/3786 [00:54<01:04, 34.64ex/s]


preprocess datasets #2:  40%|████      | 1527/3786 [00:54<00:56, 39.73ex/s]

preprocess datasets #1:  16%|█▌        | 611/3786 [00:54<04:45, 11.13ex/s]




preprocess datasets #4:  44%|████▎     | 1648/3785 [00:54<01:08, 31.01ex/s]
preprocess datasets #0:  16%|█▌        | 590/3786 [00:54<03:56, 13.54ex/s]



preprocess datasets #3:  41%|████      | 1558/3786 [00:54<01:08, 32.29ex/s]




preprocess datasets #4:  44%|████▎     | 1652/3785 [00:54<01:06, 31.89ex/s]


preprocess datasets #2:  40%|████      | 1532/3786 [00:54<01:01, 36.50ex/s]



preprocess datasets #3:  41%|████▏     | 1562/3786 [00:54<01:05, 33.78ex/s]

preprocess datasets #1:  16%|█▌        | 613/3786 [00:54<04:49, 10.97ex/s]


preprocess datasets #2:  41%|████      | 1536/3786 [00:54<01:01, 36.52ex/s]




preprocess datasets #4:  44%|████▍     | 1656/3785 [00:54<01:13, 29.02ex/s]



preprocess datasets #3:  41%|████▏     | 1566/3786 [00:54<01:08, 32.42ex/s]
preprocess datasets #0:  16%|█▌        | 592/3786 [00:54<05:03, 10.53ex/s]


preprocess datasets #2:  41%|████      | 1541/3786 [00:54<00:57, 39.00ex/s]

preprocess datasets #1:  16%|█▌        | 615/3786 [00:54<05:22,  9.85ex/s]




preprocess datasets #4:  44%|████▍     | 1660/3785 [00:54<01:14, 28.49ex/s]



preprocess datasets #3:  41%|████▏     | 1570/3786 [00:54<01:13, 30.07ex/s]


preprocess datasets #2:  41%|████      | 1546/3786 [00:54<00:56, 39.91ex/s]




preprocess datasets #4:  44%|████▍     | 1663/3785 [00:54<01:18, 27.16ex/s]



preprocess datasets #3:  42%|████▏     | 1575/3786 [00:54<01:05, 33.78ex/s]


preprocess datasets #2:  41%|████      | 1551/3786 [00:54<00:53, 41.47ex/s]
preprocess datasets #0:  16%|█▌        | 594/3786 [00:55<05:47,  9.19ex/s]

preprocess datasets #1:  16%|█▋        | 617/3786 [00:55<05:17,  9.98ex/s]



preprocess datasets #3:  42%|████▏     | 1581/3786 [00:55<00:54, 40.24ex/s]




preprocess datasets #4:  44%|████▍     | 1668/3785 [00:55<01:09, 30.50ex/s]


preprocess datasets #2:  41%|████      | 1556/3786 [00:55<00:54, 40.89ex/s]


preprocess datasets #2:  41%|████▏     | 1562/3786 [00:55<00:53, 41.26ex/s]
preprocess datasets #0:  16%|█▌        | 596/3786 [00:55<05:50,  9.09ex/s]




preprocess datasets #4:  44%|████▍     | 1672/3785 [00:55<01:13, 28.67ex/s]



preprocess datasets #3:  42%|████▏     | 1586/3786 [00:55<01:02, 35.12ex/s]

preprocess datasets #1:  16%|█▋        | 619/3786 [00:55<05:52,  8.99ex/s]



preprocess datasets #3:  42%|████▏     | 1590/3786 [00:55<01:01, 35.72ex/s]
preprocess datasets #0:  16%|█▌        | 598/3786 [00:55<05:06, 10.42ex/s]




preprocess datasets #4:  44%|████▍     | 1675/3785 [00:55<01:17, 27.08ex/s]


preprocess datasets #2:  41%|████▏     | 1567/3786 [00:55<01:00, 36.66ex/s]

preprocess datasets #1:  16%|█▋        | 620/3786 [00:55<06:17,  8.38ex/s]




preprocess datasets #4:  44%|████▍     | 1679/3785 [00:55<01:12, 28.93ex/s]


preprocess datasets #2:  42%|████▏     | 1572/3786 [00:55<00:57, 38.82ex/s]



preprocess datasets #3:  42%|████▏     | 1594/3786 [00:55<01:12, 30.07ex/s]
preprocess datasets #0:  16%|█▌        | 600/3786 [00:55<05:02, 10.55ex/s]

preprocess datasets #1:  16%|█▋        | 621/3786 [00:55<06:33,  8.05ex/s]




preprocess datasets #4:  44%|████▍     | 1682/3785 [00:55<01:17, 27.19ex/s]


preprocess datasets #2:  42%|████▏     | 1577/3786 [00:55<00:53, 40.93ex/s]
preprocess datasets #0:  16%|█▌        | 602/3786 [00:55<04:38, 11.44ex/s]

preprocess datasets #1:  16%|█▋        | 622/3786 [00:55<06:48,  7.75ex/s]




preprocess datasets #4:  45%|████▍     | 1685/3785 [00:55<01:19, 26.49ex/s]


preprocess datasets #2:  42%|████▏     | 1582/3786 [00:55<00:57, 38.61ex/s]



preprocess datasets #3:  42%|████▏     | 1598/3786 [00:55<01:29, 24.44ex/s]




preprocess datasets #4:  45%|████▍     | 1688/3785 [00:55<01:16, 27.25ex/s]



preprocess datasets #3:  42%|████▏     | 1602/3786 [00:55<01:20, 27.21ex/s]

preprocess datasets #1:  16%|█▋        | 623/3786 [00:55<07:13,  7.30ex/s]


preprocess datasets #2:  42%|████▏     | 1586/3786 [00:55<01:01, 35.76ex/s]
preprocess datasets #0:  16%|█▌        | 604/3786 [00:55<05:01, 10.56ex/s]




preprocess datasets #4:  45%|████▍     | 1691/3785 [00:55<01:16, 27.42ex/s]



preprocess datasets #3:  42%|████▏     | 1607/3786 [00:55<01:09, 31.45ex/s]

preprocess datasets #1:  17%|█▋        | 625/3786 [00:56<05:58,  8.82ex/s]




preprocess datasets #4:  45%|████▍     | 1694/3785 [00:56<01:17, 26.89ex/s]
preprocess datasets #0:  16%|█▌        | 607/3786 [00:56<04:14, 12.47ex/s]


preprocess datasets #2:  42%|████▏     | 1590/3786 [00:56<01:17, 28.45ex/s]



preprocess datasets #3:  43%|████▎     | 1611/3786 [00:56<01:09, 31.19ex/s]




preprocess datasets #4:  45%|████▍     | 1699/3785 [00:56<01:04, 32.50ex/s]

preprocess datasets #1:  17%|█▋        | 627/3786 [00:56<05:17,  9.95ex/s]



preprocess datasets #3:  43%|████▎     | 1616/3786 [00:56<01:03, 34.34ex/s]
preprocess datasets #0:  16%|█▌        | 609/3786 [00:56<04:17, 12.35ex/s]


preprocess datasets #2:  42%|████▏     | 1595/3786 [00:56<01:11, 30.63ex/s]

preprocess datasets #1:  17%|█▋        | 628/3786 [00:56<05:35,  9.41ex/s]




preprocess datasets #4:  45%|████▍     | 1703/3785 [00:56<01:17, 26.80ex/s]



preprocess datasets #3:  43%|████▎     | 1620/3786 [00:56<01:05, 32.94ex/s]


preprocess datasets #2:  42%|████▏     | 1599/3786 [00:56<01:11, 30.75ex/s]
preprocess datasets #0:  16%|█▌        | 611/3786 [00:56<04:11, 12.61ex/s]

preprocess datasets #1:  17%|█▋        | 629/3786 [00:56<05:39,  9.31ex/s]




preprocess datasets #4:  45%|████▌     | 1706/3785 [00:56<01:22, 25.14ex/s]


preprocess datasets #2:  42%|████▏     | 1603/3786 [00:56<01:13, 29.71ex/s]
preprocess datasets #0:  16%|█▌        | 613/3786 [00:56<04:05, 12.92ex/s]



preprocess datasets #3:  43%|████▎     | 1624/3786 [00:56<01:15, 28.49ex/s]




preprocess datasets #4:  45%|████▌     | 1710/3785 [00:56<01:18, 26.30ex/s]

preprocess datasets #1:  17%|█▋        | 631/3786 [00:56<05:33,  9.46ex/s]


preprocess datasets #2:  42%|████▏     | 1607/3786 [00:56<01:15, 28.77ex/s]
preprocess datasets #0:  16%|█▌        | 615/3786 [00:56<04:33, 11.61ex/s]



preprocess datasets #3:  43%|████▎     | 1628/3786 [00:56<01:24, 25.46ex/s]




preprocess datasets #4:  45%|████▌     | 1715/3785 [00:56<01:09, 29.99ex/s]


preprocess datasets #2:  43%|████▎     | 1611/3786 [00:56<01:16, 28.36ex/s]

preprocess datasets #1:  17%|█▋        | 633/3786 [00:56<05:16,  9.97ex/s]
preprocess datasets #0:  16%|█▋        | 617/3786 [00:56<04:02, 13.05ex/s]



preprocess datasets #3:  43%|████▎     | 1631/3786 [00:56<01:22, 26.05ex/s]




preprocess datasets #4:  45%|████▌     | 1719/3785 [00:56<01:09, 29.84ex/s]


preprocess datasets #2:  43%|████▎     | 1615/3786 [00:56<01:15, 28.90ex/s]
preprocess datasets #0:  16%|█▋        | 619/3786 [00:57<03:47, 13.93ex/s]



preprocess datasets #3:  43%|████▎     | 1634/3786 [00:56<01:24, 25.47ex/s]

preprocess datasets #1:  17%|█▋        | 635/3786 [00:57<05:16,  9.94ex/s]




preprocess datasets #4:  46%|████▌     | 1723/3785 [00:57<01:08, 29.98ex/s]


preprocess datasets #2:  43%|████▎     | 1618/3786 [00:57<01:16, 28.20ex/s]
preprocess datasets #0:  16%|█▋        | 621/3786 [00:57<03:44, 14.11ex/s]



preprocess datasets #3:  43%|████▎     | 1638/3786 [00:57<01:23, 25.61ex/s]


preprocess datasets #2:  43%|████▎     | 1622/3786 [00:57<01:10, 30.56ex/s]




preprocess datasets #4:  46%|████▌     | 1727/3785 [00:57<01:11, 28.63ex/s]

preprocess datasets #1:  17%|█▋        | 637/3786 [00:57<05:16,  9.95ex/s]
preprocess datasets #0:  16%|█▋        | 623/3786 [00:57<03:40, 14.32ex/s]




preprocess datasets #4:  46%|████▌     | 1730/3785 [00:57<01:11, 28.85ex/s]


preprocess datasets #2:  43%|████▎     | 1628/3786 [00:57<01:00, 35.73ex/s]



preprocess datasets #3:  43%|████▎     | 1642/3786 [00:57<01:24, 25.27ex/s]
preprocess datasets #0:  17%|█▋        | 625/3786 [00:57<03:33, 14.79ex/s]

preprocess datasets #1:  17%|█▋        | 638/3786 [00:57<05:52,  8.92ex/s]



preprocess datasets #3:  43%|████▎     | 1645/3786 [00:57<01:24, 25.35ex/s]




preprocess datasets #4:  46%|████▌     | 1734/3785 [00:57<01:09, 29.34ex/s]


preprocess datasets #2:  43%|████▎     | 1632/3786 [00:57<01:03, 34.04ex/s]




preprocess datasets #4:  46%|████▌     | 1737/3785 [00:57<01:10, 28.94ex/s]



preprocess datasets #3:  44%|████▎     | 1648/3786 [00:57<01:24, 25.39ex/s]
preprocess datasets #0:  17%|█▋        | 627/3786 [00:57<03:56, 13.35ex/s]


preprocess datasets #2:  43%|████▎     | 1636/3786 [00:57<01:05, 32.79ex/s]

preprocess datasets #1:  17%|█▋        | 640/3786 [00:57<05:26,  9.64ex/s]




preprocess datasets #4:  46%|████▌     | 1742/3785 [00:57<00:59, 34.14ex/s]


preprocess datasets #2:  43%|████▎     | 1641/3786 [00:57<00:58, 36.60ex/s]



preprocess datasets #3:  44%|████▎     | 1653/3786 [00:57<01:15, 28.28ex/s]
preprocess datasets #0:  17%|█▋        | 629/3786 [00:57<03:55, 13.40ex/s]




preprocess datasets #4:  46%|████▌     | 1746/3785 [00:57<01:00, 33.57ex/s]

preprocess datasets #1:  17%|█▋        | 642/3786 [00:57<05:47,  9.04ex/s]



preprocess datasets #3:  44%|████▍     | 1657/3786 [00:57<01:14, 28.57ex/s]


preprocess datasets #2:  43%|████▎     | 1645/3786 [00:57<01:06, 32.18ex/s]




preprocess datasets #4:  46%|████▌     | 1750/3785 [00:57<00:59, 34.15ex/s]
preprocess datasets #0:  17%|█▋        | 631/3786 [00:57<04:20, 12.09ex/s]

preprocess datasets #1:  17%|█▋        | 643/3786 [00:57<05:43,  9.16ex/s]



preprocess datasets #3:  44%|████▍     | 1660/3786 [00:57<01:16, 27.73ex/s]


preprocess datasets #2:  44%|████▎     | 1649/3786 [00:57<01:05, 32.45ex/s]




preprocess datasets #4:  46%|████▋     | 1754/3785 [00:57<00:57, 35.21ex/s]

preprocess datasets #1:  17%|█▋        | 644/3786 [00:58<05:56,  8.82ex/s]



preprocess datasets #3:  44%|████▍     | 1663/3786 [00:58<01:16, 27.59ex/s]
preprocess datasets #0:  17%|█▋        | 633/3786 [00:58<04:11, 12.53ex/s]




preprocess datasets #4:  46%|████▋     | 1758/3785 [00:58<00:59, 34.30ex/s]


preprocess datasets #2:  44%|████▎     | 1653/3786 [00:58<01:11, 29.77ex/s]



preprocess datasets #3:  44%|████▍     | 1667/3786 [00:58<01:09, 30.70ex/s]
preprocess datasets #0:  17%|█▋        | 635/3786 [00:58<03:45, 14.00ex/s]




preprocess datasets #4:  47%|████▋     | 1762/3785 [00:58<00:57, 35.47ex/s]

preprocess datasets #1:  17%|█▋        | 646/3786 [00:58<05:40,  9.22ex/s]



preprocess datasets #3:  44%|████▍     | 1671/3786 [00:58<01:04, 32.57ex/s]


preprocess datasets #2:  44%|████▍     | 1657/3786 [00:58<01:18, 27.19ex/s]




preprocess datasets #4:  47%|████▋     | 1766/3785 [00:58<00:57, 35.34ex/s]

preprocess datasets #1:  17%|█▋        | 647/3786 [00:58<05:35,  9.36ex/s]



preprocess datasets #3:  44%|████▍     | 1678/3786 [00:58<00:49, 42.56ex/s]


preprocess datasets #2:  44%|████▍     | 1660/3786 [00:58<01:19, 26.90ex/s]
preprocess datasets #0:  17%|█▋        | 637/3786 [00:58<04:44, 11.06ex/s]




preprocess datasets #4:  47%|████▋     | 1772/3785 [00:58<00:48, 41.09ex/s]



preprocess datasets #3:  44%|████▍     | 1683/3786 [00:58<00:52, 40.34ex/s]

preprocess datasets #1:  17%|█▋        | 649/3786 [00:58<04:59, 10.46ex/s]


preprocess datasets #2:  44%|████▍     | 1664/3786 [00:58<01:14, 28.42ex/s]




preprocess datasets #4:  47%|████▋     | 1778/3785 [00:58<00:45, 44.30ex/s]
preprocess datasets #0:  17%|█▋        | 639/3786 [00:58<04:40, 11.20ex/s]


preprocess datasets #2:  44%|████▍     | 1667/3786 [00:58<01:17, 27.51ex/s]



preprocess datasets #3:  45%|████▍     | 1688/3786 [00:58<00:56, 37.32ex/s]




preprocess datasets #4:  47%|████▋     | 1783/3785 [00:58<00:47, 41.90ex/s]
preprocess datasets #0:  17%|█▋        | 642/3786 [00:58<03:32, 14.82ex/s]

preprocess datasets #1:  17%|█▋        | 651/3786 [00:58<05:28,  9.54ex/s]



preprocess datasets #3:  45%|████▍     | 1692/3786 [00:58<00:58, 36.06ex/s]


preprocess datasets #2:  44%|████▍     | 1671/3786 [00:58<01:14, 28.54ex/s]




preprocess datasets #4:  47%|████▋     | 1789/3785 [00:58<00:45, 43.63ex/s]
preprocess datasets #0:  17%|█▋        | 644/3786 [00:58<03:38, 14.38ex/s]


preprocess datasets #2:  44%|████▍     | 1675/3786 [00:58<01:09, 30.40ex/s]

preprocess datasets #1:  17%|█▋        | 653/3786 [00:58<05:02, 10.35ex/s]



preprocess datasets #3:  45%|████▍     | 1696/3786 [00:58<01:05, 32.08ex/s]




preprocess datasets #4:  47%|████▋     | 1794/3785 [00:58<00:51, 38.63ex/s]
preprocess datasets #0:  17%|█▋        | 646/3786 [00:59<03:35, 14.57ex/s]


preprocess datasets #2:  44%|████▍     | 1679/3786 [00:59<01:07, 31.34ex/s]



preprocess datasets #3:  45%|████▍     | 1700/3786 [00:59<01:07, 30.87ex/s]




preprocess datasets #4:  48%|████▊     | 1800/3785 [00:59<00:47, 41.63ex/s]

preprocess datasets #1:  17%|█▋        | 656/3786 [00:59<04:21, 11.97ex/s]
preprocess datasets #0:  17%|█▋        | 648/3786 [00:59<03:48, 13.74ex/s]


preprocess datasets #2:  44%|████▍     | 1683/3786 [00:59<01:10, 29.65ex/s]




preprocess datasets #4:  48%|████▊     | 1805/3785 [00:59<00:46, 42.87ex/s]



preprocess datasets #3:  45%|████▌     | 1704/3786 [00:59<01:06, 31.32ex/s]
preprocess datasets #0:  17%|█▋        | 650/3786 [00:59<03:51, 13.57ex/s]




preprocess datasets #4:  48%|████▊     | 1810/3785 [00:59<00:46, 42.93ex/s]



preprocess datasets #3:  45%|████▌     | 1708/3786 [00:59<01:04, 32.02ex/s]


preprocess datasets #2:  45%|████▍     | 1687/3786 [00:59<01:15, 27.95ex/s]

preprocess datasets #1:  17%|█▋        | 658/3786 [00:59<05:27,  9.56ex/s]




preprocess datasets #4:  48%|████▊     | 1815/3785 [00:59<00:44, 44.10ex/s]


preprocess datasets #2:  45%|████▍     | 1690/3786 [00:59<01:18, 26.55ex/s]



preprocess datasets #3:  45%|████▌     | 1712/3786 [00:59<01:13, 28.36ex/s]
preprocess datasets #0:  17%|█▋        | 653/3786 [00:59<03:58, 13.15ex/s]




preprocess datasets #4:  48%|████▊     | 1820/3785 [00:59<00:46, 42.26ex/s]


preprocess datasets #2:  45%|████▍     | 1694/3786 [00:59<01:14, 28.24ex/s]



preprocess datasets #3:  45%|████▌     | 1715/3786 [00:59<01:19, 26.13ex/s]


preprocess datasets #2:  45%|████▍     | 1699/3786 [00:59<01:08, 30.35ex/s]

preprocess datasets #1:  17%|█▋        | 660/3786 [00:59<06:11,  8.42ex/s]




preprocess datasets #4:  48%|████▊     | 1825/3785 [00:59<00:53, 36.86ex/s]



preprocess datasets #3:  45%|████▌     | 1718/3786 [00:59<01:27, 23.53ex/s]
preprocess datasets #0:  17%|█▋        | 655/3786 [00:59<05:04, 10.29ex/s]




preprocess datasets #4:  48%|████▊     | 1829/3785 [00:59<00:55, 35.08ex/s]


preprocess datasets #2:  45%|████▍     | 1703/3786 [00:59<01:13, 28.45ex/s]

preprocess datasets #1:  17%|█▋        | 662/3786 [00:59<05:52,  8.87ex/s]



preprocess datasets #3:  45%|████▌     | 1721/3786 [00:59<01:28, 23.32ex/s]


preprocess datasets #2:  45%|████▌     | 1707/3786 [00:59<01:08, 30.40ex/s]
preprocess datasets #0:  17%|█▋        | 657/3786 [01:00<05:00, 10.42ex/s]




preprocess datasets #4:  48%|████▊     | 1833/3785 [01:00<01:07, 29.07ex/s]



preprocess datasets #3:  46%|████▌     | 1725/3786 [01:00<01:22, 24.95ex/s]


preprocess datasets #2:  45%|████▌     | 1711/3786 [01:00<01:03, 32.72ex/s]

preprocess datasets #1:  18%|█▊        | 664/3786 [01:00<05:33,  9.37ex/s]
preprocess datasets #0:  17%|█▋        | 659/3786 [01:00<04:33, 11.45ex/s]



preprocess datasets #3:  46%|████▌     | 1728/3786 [01:00<01:20, 25.68ex/s]




preprocess datasets #4:  49%|████▊     | 1838/3785 [01:00<01:01, 31.89ex/s]


preprocess datasets #2:  45%|████▌     | 1715/3786 [01:00<01:00, 34.22ex/s]

preprocess datasets #1:  18%|█▊        | 665/3786 [01:00<06:00,  8.66ex/s]




preprocess datasets #4:  49%|████▊     | 1843/3785 [01:00<00:57, 34.02ex/s]



preprocess datasets #3:  46%|████▌     | 1731/3786 [01:00<01:22, 24.94ex/s]
preprocess datasets #0:  17%|█▋        | 661/3786 [01:00<04:40, 11.14ex/s]

preprocess datasets #1:  18%|█▊        | 666/3786 [01:00<06:11,  8.39ex/s]


preprocess datasets #2:  45%|████▌     | 1719/3786 [01:00<01:16, 27.19ex/s]



preprocess datasets #3:  46%|████▌     | 1734/3786 [01:00<01:23, 24.57ex/s]




preprocess datasets #4:  49%|████▉     | 1847/3785 [01:00<01:03, 30.58ex/s]
preprocess datasets #0:  18%|█▊        | 663/3786 [01:00<04:23, 11.84ex/s]



preprocess datasets #3:  46%|████▌     | 1737/3786 [01:00<01:22, 24.88ex/s]

preprocess datasets #1:  18%|█▊        | 668/3786 [01:00<05:41,  9.13ex/s]


preprocess datasets #2:  46%|████▌     | 1723/3786 [01:00<01:20, 25.54ex/s]
preprocess datasets #0:  18%|█▊        | 665/3786 [01:00<04:03, 12.81ex/s]




preprocess datasets #4:  49%|████▉     | 1851/3785 [01:00<01:10, 27.29ex/s]



preprocess datasets #3:  46%|████▌     | 1740/3786 [01:00<01:21, 25.05ex/s]


preprocess datasets #2:  46%|████▌     | 1727/3786 [01:00<01:13, 27.89ex/s]
preprocess datasets #0:  18%|█▊        | 667/3786 [01:00<04:02, 12.87ex/s]



preprocess datasets #3:  46%|████▌     | 1744/3786 [01:00<01:12, 28.10ex/s]




preprocess datasets #4:  49%|████▉     | 1854/3785 [01:00<01:13, 26.15ex/s]


preprocess datasets #2:  46%|████▌     | 1731/3786 [01:00<01:11, 28.75ex/s]

preprocess datasets #1:  18%|█▊        | 670/3786 [01:00<06:04,  8.55ex/s]



preprocess datasets #3:  46%|████▋     | 1752/3786 [01:00<00:49, 40.98ex/s]




preprocess datasets #4:  49%|████▉     | 1858/3785 [01:00<01:06, 29.16ex/s]
preprocess datasets #0:  18%|█▊        | 669/3786 [01:00<04:03, 12.78ex/s]


preprocess datasets #2:  46%|████▌     | 1736/3786 [01:00<01:04, 31.87ex/s]

preprocess datasets #1:  18%|█▊        | 671/3786 [01:00<06:07,  8.48ex/s]



preprocess datasets #3:  46%|████▋     | 1757/3786 [01:01<00:50, 40.03ex/s]
preprocess datasets #0:  18%|█▊        | 671/3786 [01:01<03:41, 14.09ex/s]


preprocess datasets #2:  46%|████▌     | 1741/3786 [01:01<00:57, 35.68ex/s]




preprocess datasets #4:  49%|████▉     | 1862/3785 [01:01<01:10, 27.34ex/s]

preprocess datasets #1:  18%|█▊        | 672/3786 [01:01<06:22,  8.14ex/s]



preprocess datasets #3:  47%|████▋     | 1762/3786 [01:01<00:49, 40.93ex/s]




preprocess datasets #4:  49%|████▉     | 1865/3785 [01:01<01:08, 27.91ex/s]
preprocess datasets #0:  18%|█▊        | 673/3786 [01:01<04:04, 12.72ex/s]


preprocess datasets #2:  46%|████▌     | 1745/3786 [01:01<01:06, 30.56ex/s]

preprocess datasets #1:  18%|█▊        | 674/3786 [01:01<05:45,  9.01ex/s]




preprocess datasets #4:  49%|████▉     | 1870/3785 [01:01<01:03, 30.02ex/s]


preprocess datasets #2:  46%|████▌     | 1749/3786 [01:01<01:03, 32.00ex/s]



preprocess datasets #3:  47%|████▋     | 1767/3786 [01:01<01:02, 32.30ex/s]
preprocess datasets #0:  18%|█▊        | 675/3786 [01:01<04:11, 12.38ex/s]

preprocess datasets #1:  18%|█▊        | 675/3786 [01:01<05:53,  8.80ex/s]



preprocess datasets #3:  47%|████▋     | 1771/3786 [01:01<01:02, 32.10ex/s]


preprocess datasets #2:  46%|████▋     | 1753/3786 [01:01<01:06, 30.69ex/s]

preprocess datasets #1:  18%|█▊        | 676/3786 [01:01<05:43,  9.05ex/s]




preprocess datasets #4:  50%|████▉     | 1874/3785 [01:01<01:18, 24.44ex/s]
preprocess datasets #0:  18%|█▊        | 677/3786 [01:01<04:19, 12.00ex/s]



preprocess datasets #3:  47%|████▋     | 1775/3786 [01:01<01:01, 32.56ex/s]

preprocess datasets #1:  18%|█▊        | 677/3786 [01:01<05:43,  9.06ex/s]




preprocess datasets #4:  50%|████▉     | 1881/3785 [01:01<00:57, 32.86ex/s]


preprocess datasets #2:  46%|████▋     | 1757/3786 [01:01<01:16, 26.60ex/s]
preprocess datasets #0:  18%|█▊        | 679/3786 [01:01<04:32, 11.40ex/s]




preprocess datasets #4:  50%|████▉     | 1885/3785 [01:01<01:00, 31.58ex/s]

preprocess datasets #1:  18%|█▊        | 679/3786 [01:01<05:27,  9.48ex/s]



preprocess datasets #3:  47%|████▋     | 1779/3786 [01:01<01:17, 26.06ex/s]


preprocess datasets #2:  46%|████▋     | 1760/3786 [01:01<01:25, 23.66ex/s]




preprocess datasets #4:  50%|████▉     | 1890/3785 [01:01<00:55, 33.93ex/s]

preprocess datasets #1:  18%|█▊        | 680/3786 [01:01<05:26,  9.52ex/s]
preprocess datasets #0:  18%|█▊        | 681/3786 [01:01<04:25, 11.68ex/s]



preprocess datasets #3:  47%|████▋     | 1782/3786 [01:01<01:20, 24.91ex/s]


preprocess datasets #2:  47%|████▋     | 1763/3786 [01:02<01:25, 23.60ex/s]




preprocess datasets #4:  50%|█████     | 1894/3785 [01:02<00:54, 34.81ex/s]

preprocess datasets #1:  18%|█▊        | 681/3786 [01:02<05:42,  9.06ex/s]



preprocess datasets #3:  47%|████▋     | 1785/3786 [01:02<01:22, 24.36ex/s]


preprocess datasets #2:  47%|████▋     | 1768/3786 [01:02<01:15, 26.87ex/s]
preprocess datasets #0:  18%|█▊        | 683/3786 [01:02<04:43, 10.96ex/s]




preprocess datasets #4:  50%|█████     | 1900/3785 [01:02<00:48, 38.74ex/s]

preprocess datasets #1:  18%|█▊        | 682/3786 [01:02<05:55,  8.73ex/s]


preprocess datasets #2:  47%|████▋     | 1772/3786 [01:02<01:08, 29.53ex/s]



preprocess datasets #3:  47%|████▋     | 1788/3786 [01:02<01:23, 23.94ex/s]




preprocess datasets #4:  50%|█████     | 1905/3785 [01:02<00:48, 39.01ex/s]

preprocess datasets #1:  18%|█▊        | 683/3786 [01:02<05:49,  8.87ex/s]
preprocess datasets #0:  18%|█▊        | 685/3786 [01:02<04:47, 10.80ex/s]


preprocess datasets #2:  47%|████▋     | 1776/3786 [01:02<01:06, 30.30ex/s]




preprocess datasets #4:  50%|█████     | 1910/3785 [01:02<00:47, 39.15ex/s]



preprocess datasets #3:  47%|████▋     | 1791/3786 [01:02<01:30, 22.09ex/s]

preprocess datasets #1:  18%|█▊        | 685/3786 [01:02<05:15,  9.82ex/s]
preprocess datasets #0:  18%|█▊        | 687/3786 [01:02<04:20, 11.89ex/s]


preprocess datasets #2:  47%|████▋     | 1780/3786 [01:02<01:03, 31.75ex/s]



preprocess datasets #3:  47%|████▋     | 1794/3786 [01:02<01:29, 22.36ex/s]




preprocess datasets #4:  51%|█████     | 1914/3785 [01:02<00:53, 35.06ex/s]


preprocess datasets #2:  47%|████▋     | 1784/3786 [01:02<01:00, 33.07ex/s]

preprocess datasets #1:  18%|█▊        | 687/3786 [01:02<05:04, 10.19ex/s]



preprocess datasets #3:  47%|████▋     | 1797/3786 [01:02<01:25, 23.25ex/s]
preprocess datasets #0:  18%|█▊        | 690/3786 [01:02<03:56, 13.10ex/s]


preprocess datasets #2:  47%|████▋     | 1788/3786 [01:02<01:01, 32.65ex/s]




preprocess datasets #4:  51%|█████     | 1918/3785 [01:02<01:02, 29.96ex/s]



preprocess datasets #3:  48%|████▊     | 1800/3786 [01:02<01:29, 22.07ex/s]

preprocess datasets #1:  18%|█▊        | 689/3786 [01:02<04:46, 10.80ex/s]
preprocess datasets #0:  18%|█▊        | 692/3786 [01:02<03:55, 13.11ex/s]


preprocess datasets #2:  47%|████▋     | 1792/3786 [01:02<01:02, 31.96ex/s]




preprocess datasets #4:  51%|█████     | 1922/3785 [01:02<01:04, 28.81ex/s]



preprocess datasets #3:  48%|████▊     | 1803/3786 [01:02<01:24, 23.48ex/s]


preprocess datasets #2:  47%|████▋     | 1797/3786 [01:02<00:54, 36.20ex/s]
preprocess datasets #0:  18%|█▊        | 694/3786 [01:02<03:51, 13.33ex/s]




preprocess datasets #4:  51%|█████     | 1926/3785 [01:03<01:01, 30.29ex/s]

preprocess datasets #1:  18%|█▊        | 691/3786 [01:03<04:56, 10.43ex/s]



preprocess datasets #3:  48%|████▊     | 1806/3786 [01:03<01:26, 22.77ex/s]


preprocess datasets #2:  48%|████▊     | 1801/3786 [01:03<00:55, 35.55ex/s]
preprocess datasets #0:  18%|█▊        | 696/3786 [01:03<03:36, 14.26ex/s]


preprocess datasets #2:  48%|████▊     | 1805/3786 [01:03<00:53, 36.72ex/s]




preprocess datasets #4:  51%|█████     | 1930/3785 [01:03<01:05, 28.45ex/s]

preprocess datasets #1:  18%|█▊        | 693/3786 [01:03<04:43, 10.91ex/s]



preprocess datasets #3:  48%|████▊     | 1809/3786 [01:03<01:25, 23.02ex/s]
preprocess datasets #0:  18%|█▊        | 698/3786 [01:03<03:50, 13.42ex/s]




preprocess datasets #4:  51%|█████     | 1934/3785 [01:03<01:03, 29.15ex/s]


preprocess datasets #2:  48%|████▊     | 1809/3786 [01:03<00:58, 34.06ex/s]

preprocess datasets #1:  18%|█▊        | 695/3786 [01:03<04:23, 11.74ex/s]



preprocess datasets #3:  48%|████▊     | 1814/3786 [01:03<01:12, 27.15ex/s]
preprocess datasets #0:  19%|█▊        | 701/3786 [01:03<03:21, 15.32ex/s]




preprocess datasets #4:  51%|█████     | 1937/3785 [01:03<01:04, 28.66ex/s]


preprocess datasets #2:  48%|████▊     | 1813/3786 [01:03<00:56, 34.99ex/s]



preprocess datasets #3:  48%|████▊     | 1818/3786 [01:03<01:16, 25.61ex/s]

preprocess datasets #1:  18%|█▊        | 697/3786 [01:03<04:33, 11.30ex/s]




preprocess datasets #4:  51%|█████▏    | 1940/3785 [01:03<01:05, 27.96ex/s]


preprocess datasets #2:  48%|████▊     | 1817/3786 [01:03<01:02, 31.72ex/s]
preprocess datasets #0:  19%|█▊        | 703/3786 [01:03<03:54, 13.16ex/s]



preprocess datasets #3:  48%|████▊     | 1821/3786 [01:03<01:21, 24.07ex/s]




preprocess datasets #4:  51%|█████▏    | 1943/3785 [01:03<01:13, 25.02ex/s]

preprocess datasets #1:  18%|█▊        | 699/3786 [01:03<04:29, 11.44ex/s]


preprocess datasets #2:  48%|████▊     | 1821/3786 [01:03<01:10, 27.77ex/s]



preprocess datasets #3:  48%|████▊     | 1825/3786 [01:03<01:14, 26.40ex/s]
preprocess datasets #0:  19%|█▊        | 705/3786 [01:03<04:06, 12.52ex/s]

preprocess datasets #1:  19%|█▊        | 701/3786 [01:03<04:14, 12.13ex/s]




preprocess datasets #4:  51%|█████▏    | 1946/3785 [01:03<01:20, 22.73ex/s]


preprocess datasets #2:  48%|████▊     | 1824/3786 [01:03<01:09, 28.03ex/s]



preprocess datasets #3:  48%|████▊     | 1828/3786 [01:03<01:15, 25.88ex/s]

preprocess datasets #1:  19%|█▊        | 703/3786 [01:03<03:56, 13.02ex/s]




preprocess datasets #4:  52%|█████▏    | 1950/3785 [01:03<01:11, 25.65ex/s]
preprocess datasets #0:  19%|█▊        | 707/3786 [01:04<04:19, 11.89ex/s]



preprocess datasets #3:  48%|████▊     | 1831/3786 [01:03<01:15, 25.75ex/s]


preprocess datasets #2:  48%|████▊     | 1827/3786 [01:04<01:17, 25.40ex/s]

preprocess datasets #1:  19%|█▊        | 705/3786 [01:04<03:49, 13.42ex/s]




preprocess datasets #4:  52%|█████▏    | 1953/3785 [01:04<01:15, 24.41ex/s]


preprocess datasets #2:  48%|████▊     | 1830/3786 [01:04<01:17, 25.14ex/s]



preprocess datasets #3:  48%|████▊     | 1834/3786 [01:04<01:17, 25.33ex/s]
preprocess datasets #0:  19%|█▊        | 709/3786 [01:04<04:29, 11.42ex/s]




preprocess datasets #4:  52%|█████▏    | 1956/3785 [01:04<01:15, 24.15ex/s]



preprocess datasets #3:  49%|████▊     | 1837/3786 [01:04<01:13, 26.49ex/s]


preprocess datasets #2:  48%|████▊     | 1834/3786 [01:04<01:11, 27.14ex/s]

preprocess datasets #1:  19%|█▊        | 707/3786 [01:04<04:04, 12.58ex/s]




preprocess datasets #4:  52%|█████▏    | 1961/3785 [01:04<01:01, 29.61ex/s]



preprocess datasets #3:  49%|████▊     | 1840/3786 [01:04<01:14, 26.29ex/s]
preprocess datasets #0:  19%|█▉        | 712/3786 [01:04<04:01, 12.72ex/s]


preprocess datasets #2:  49%|████▊     | 1837/3786 [01:04<01:15, 25.66ex/s]

preprocess datasets #1:  19%|█▊        | 709/3786 [01:04<03:56, 13.03ex/s]




preprocess datasets #4:  52%|█████▏    | 1966/3785 [01:04<00:53, 34.27ex/s]



preprocess datasets #3:  49%|████▊     | 1843/3786 [01:04<01:18, 24.67ex/s]
preprocess datasets #0:  19%|█▉        | 714/3786 [01:04<03:56, 12.97ex/s]


preprocess datasets #2:  49%|████▊     | 1840/3786 [01:04<01:19, 24.60ex/s]

preprocess datasets #1:  19%|█▉        | 711/3786 [01:04<03:50, 13.37ex/s]




preprocess datasets #4:  52%|█████▏    | 1970/3785 [01:04<00:55, 32.69ex/s]


preprocess datasets #2:  49%|████▊     | 1843/3786 [01:04<01:16, 25.52ex/s]



preprocess datasets #3:  49%|████▉     | 1846/3786 [01:04<01:23, 23.14ex/s]
preprocess datasets #0:  19%|█▉        | 717/3786 [01:04<03:31, 14.52ex/s]



preprocess datasets #3:  49%|████▉     | 1849/3786 [01:04<01:20, 24.09ex/s]


preprocess datasets #2:  49%|████▉     | 1846/3786 [01:04<01:16, 25.43ex/s]




preprocess datasets #4:  52%|█████▏    | 1974/3785 [01:04<01:03, 28.66ex/s]

preprocess datasets #1:  19%|█▉        | 713/3786 [01:04<04:22, 11.72ex/s]
preprocess datasets #0:  19%|█▉        | 719/3786 [01:04<03:38, 14.05ex/s]



preprocess datasets #3:  49%|████▉     | 1852/3786 [01:04<01:19, 24.22ex/s]


preprocess datasets #2:  49%|████▉     | 1849/3786 [01:04<01:20, 24.14ex/s]




preprocess datasets #4:  52%|█████▏    | 1978/3785 [01:04<01:05, 27.68ex/s]

preprocess datasets #1:  19%|█▉        | 715/3786 [01:04<04:37, 11.08ex/s]
preprocess datasets #0:  19%|█▉        | 721/3786 [01:05<03:43, 13.74ex/s]



preprocess datasets #3:  49%|████▉     | 1856/3786 [01:05<01:14, 25.77ex/s]


preprocess datasets #2:  49%|████▉     | 1852/3786 [01:05<01:19, 24.48ex/s]




preprocess datasets #4:  52%|█████▏    | 1981/3785 [01:05<01:05, 27.73ex/s]
preprocess datasets #0:  19%|█▉        | 723/3786 [01:05<03:36, 14.15ex/s]


preprocess datasets #2:  49%|████▉     | 1855/3786 [01:05<01:16, 25.20ex/s]




preprocess datasets #4:  52%|█████▏    | 1987/3785 [01:05<00:54, 33.22ex/s]



preprocess datasets #3:  49%|████▉     | 1859/3786 [01:05<01:22, 23.48ex/s]

preprocess datasets #1:  19%|█▉        | 717/3786 [01:05<04:57, 10.32ex/s]


preprocess datasets #2:  49%|████▉     | 1859/3786 [01:05<01:06, 29.01ex/s]




preprocess datasets #4:  53%|█████▎    | 1991/3785 [01:05<00:52, 33.85ex/s]



preprocess datasets #3:  49%|████▉     | 1862/3786 [01:05<01:17, 24.81ex/s]
preprocess datasets #0:  19%|█▉        | 725/3786 [01:05<03:43, 13.70ex/s]

preprocess datasets #1:  19%|█▉        | 719/3786 [01:05<04:33, 11.20ex/s]



preprocess datasets #3:  49%|████▉     | 1867/3786 [01:05<01:03, 30.20ex/s]


preprocess datasets #2:  49%|████▉     | 1862/3786 [01:05<01:18, 24.47ex/s]




preprocess datasets #4:  53%|█████▎    | 1995/3785 [01:05<00:59, 30.23ex/s]

preprocess datasets #1:  19%|█▉        | 721/3786 [01:05<04:07, 12.39ex/s]
preprocess datasets #0:  19%|█▉        | 727/3786 [01:05<04:13, 12.08ex/s]



preprocess datasets #3:  49%|████▉     | 1872/3786 [01:05<00:55, 34.56ex/s]


preprocess datasets #2:  49%|████▉     | 1866/3786 [01:05<01:10, 27.20ex/s]

preprocess datasets #1:  19%|█▉        | 723/3786 [01:05<04:04, 12.55ex/s]



preprocess datasets #3:  50%|████▉     | 1876/3786 [01:05<00:57, 32.94ex/s]
preprocess datasets #0:  19%|█▉        | 729/3786 [01:05<04:01, 12.65ex/s]


preprocess datasets #2:  49%|████▉     | 1869/3786 [01:05<01:15, 25.55ex/s]

preprocess datasets #1:  19%|█▉        | 725/3786 [01:05<03:51, 13.21ex/s]



preprocess datasets #3:  50%|████▉     | 1880/3786 [01:05<01:02, 30.42ex/s]


preprocess datasets #2:  49%|████▉     | 1872/3786 [01:05<01:18, 24.34ex/s]
preprocess datasets #0:  19%|█▉        | 731/3786 [01:05<04:05, 12.43ex/s]

preprocess datasets #1:  19%|█▉        | 727/3786 [01:05<03:36, 14.11ex/s]




preprocess datasets #4:  53%|█████▎    | 2000/3785 [01:05<01:34, 18.92ex/s]



preprocess datasets #3:  50%|████▉     | 1884/3786 [01:05<01:04, 29.48ex/s]


preprocess datasets #2:  50%|████▉     | 1876/3786 [01:05<01:16, 25.08ex/s]
preprocess datasets #0:  19%|█▉        | 733/3786 [01:05<04:11, 12.13ex/s]

preprocess datasets #1:  19%|█▉        | 729/3786 [01:06<03:27, 14.71ex/s]




preprocess datasets #4:  53%|█████▎    | 2003/3785 [01:06<01:30, 19.72ex/s]


preprocess datasets #2:  50%|████▉     | 1880/3786 [01:06<01:10, 26.94ex/s]



preprocess datasets #3:  50%|████▉     | 1888/3786 [01:06<01:05, 29.18ex/s]
preprocess datasets #0:  19%|█▉        | 735/3786 [01:06<04:01, 12.61ex/s]

preprocess datasets #1:  19%|█▉        | 731/3786 [01:06<03:29, 14.58ex/s]




preprocess datasets #4:  53%|█████▎    | 2009/3785 [01:06<01:08, 26.06ex/s]


preprocess datasets #2:  50%|████▉     | 1885/3786 [01:06<00:59, 31.85ex/s]



preprocess datasets #3:  50%|█████     | 1894/3786 [01:06<00:55, 34.09ex/s]

preprocess datasets #1:  19%|█▉        | 733/3786 [01:06<03:15, 15.62ex/s]
preprocess datasets #0:  19%|█▉        | 737/3786 [01:06<03:52, 13.10ex/s]




preprocess datasets #4:  53%|█████▎    | 2015/3785 [01:06<00:58, 30.16ex/s]



preprocess datasets #3:  50%|█████     | 1898/3786 [01:06<00:54, 34.82ex/s]


preprocess datasets #2:  50%|████▉     | 1889/3786 [01:06<01:02, 30.22ex/s]




preprocess datasets #4:  53%|█████▎    | 2019/3785 [01:06<00:55, 31.92ex/s]

preprocess datasets #1:  19%|█▉        | 735/3786 [01:06<03:25, 14.82ex/s]
preprocess datasets #0:  20%|█▉        | 739/3786 [01:06<04:07, 12.30ex/s]



preprocess datasets #3:  50%|█████     | 1903/3786 [01:06<00:53, 35.08ex/s]


preprocess datasets #2:  50%|█████     | 1894/3786 [01:06<00:58, 32.58ex/s]




preprocess datasets #4:  53%|█████▎    | 2023/3785 [01:06<00:55, 32.03ex/s]

preprocess datasets #1:  19%|█▉        | 737/3786 [01:06<03:19, 15.25ex/s]



preprocess datasets #3:  50%|█████     | 1907/3786 [01:06<00:54, 34.27ex/s]
preprocess datasets #0:  20%|█▉        | 741/3786 [01:06<04:05, 12.42ex/s]


preprocess datasets #2:  50%|█████     | 1898/3786 [01:06<01:06, 28.59ex/s]




preprocess datasets #4:  54%|█████▎    | 2028/3785 [01:06<00:51, 33.84ex/s]

preprocess datasets #1:  20%|█▉        | 739/3786 [01:06<03:17, 15.45ex/s]



preprocess datasets #3:  50%|█████     | 1911/3786 [01:06<00:56, 33.14ex/s]
preprocess datasets #0:  20%|█▉        | 743/3786 [01:06<03:44, 13.55ex/s]


preprocess datasets #2:  50%|█████     | 1902/3786 [01:06<01:03, 29.64ex/s]



preprocess datasets #3:  51%|█████     | 1915/3786 [01:06<00:54, 34.27ex/s]




preprocess datasets #4:  54%|█████▎    | 2032/3785 [01:06<00:59, 29.44ex/s]

preprocess datasets #1:  20%|█▉        | 741/3786 [01:06<03:52, 13.11ex/s]
preprocess datasets #0:  20%|█▉        | 745/3786 [01:06<03:41, 13.71ex/s]



preprocess datasets #3:  51%|█████     | 1919/3786 [01:06<00:53, 34.82ex/s]


preprocess datasets #2:  50%|█████     | 1906/3786 [01:06<01:11, 26.41ex/s]




preprocess datasets #4:  54%|█████▍    | 2036/3785 [01:06<01:00, 28.97ex/s]
preprocess datasets #0:  20%|█▉        | 747/3786 [01:07<03:28, 14.56ex/s]



preprocess datasets #3:  51%|█████     | 1923/3786 [01:07<00:51, 35.84ex/s]

preprocess datasets #1:  20%|█▉        | 743/3786 [01:07<04:08, 12.26ex/s]




preprocess datasets #4:  54%|█████▍    | 2040/3785 [01:07<00:56, 30.85ex/s]


preprocess datasets #2:  50%|█████     | 1910/3786 [01:07<01:10, 26.79ex/s]
preprocess datasets #0:  20%|█▉        | 749/3786 [01:07<03:32, 14.30ex/s]



preprocess datasets #3:  51%|█████     | 1927/3786 [01:07<00:50, 36.97ex/s]


preprocess datasets #2:  51%|█████     | 1913/3786 [01:07<01:08, 27.25ex/s]




preprocess datasets #4:  54%|█████▍    | 2046/3785 [01:07<00:47, 36.23ex/s]



preprocess datasets #3:  51%|█████     | 1932/3786 [01:07<00:45, 40.47ex/s]

preprocess datasets #1:  20%|█▉        | 745/3786 [01:07<04:17, 11.79ex/s]


preprocess datasets #2:  51%|█████     | 1916/3786 [01:07<01:07, 27.68ex/s]




preprocess datasets #4:  54%|█████▍    | 2051/3785 [01:07<00:44, 38.61ex/s]
preprocess datasets #0:  20%|█▉        | 751/3786 [01:07<04:00, 12.63ex/s]



preprocess datasets #3:  51%|█████     | 1937/3786 [01:07<00:47, 39.24ex/s]

preprocess datasets #1:  20%|█▉        | 747/3786 [01:07<04:15, 11.88ex/s]


preprocess datasets #2:  51%|█████     | 1921/3786 [01:07<00:59, 31.31ex/s]




preprocess datasets #4:  54%|█████▍    | 2056/3785 [01:07<00:47, 36.38ex/s]



preprocess datasets #3:  51%|█████▏    | 1942/3786 [01:07<00:48, 38.17ex/s]

preprocess datasets #1:  20%|█▉        | 749/3786 [01:07<04:00, 12.62ex/s]
preprocess datasets #0:  20%|█▉        | 753/3786 [01:07<04:39, 10.83ex/s]


preprocess datasets #2:  51%|█████     | 1925/3786 [01:07<01:01, 30.31ex/s]




preprocess datasets #4:  54%|█████▍    | 2060/3785 [01:07<00:48, 35.74ex/s]


preprocess datasets #2:  51%|█████     | 1930/3786 [01:07<00:57, 32.25ex/s]



preprocess datasets #3:  51%|█████▏    | 1946/3786 [01:07<01:00, 30.29ex/s]

preprocess datasets #1:  20%|█▉        | 751/3786 [01:07<04:14, 11.93ex/s]
preprocess datasets #0:  20%|█▉        | 755/3786 [01:07<04:31, 11.18ex/s]




preprocess datasets #4:  55%|█████▍    | 2064/3785 [01:07<00:56, 30.46ex/s]


preprocess datasets #2:  51%|█████     | 1934/3786 [01:07<00:59, 31.24ex/s]



preprocess datasets #3:  52%|█████▏    | 1950/3786 [01:07<01:01, 29.91ex/s]




preprocess datasets #4:  55%|█████▍    | 2068/3785 [01:07<00:54, 31.68ex/s]

preprocess datasets #1:  20%|█▉        | 753/3786 [01:07<04:26, 11.39ex/s]
preprocess datasets #0:  20%|█▉        | 757/3786 [01:07<04:48, 10.52ex/s]


preprocess datasets #2:  51%|█████     | 1938/3786 [01:07<00:58, 31.42ex/s]



preprocess datasets #3:  52%|█████▏    | 1954/3786 [01:07<01:02, 29.18ex/s]




preprocess datasets #4:  55%|█████▍    | 2072/3785 [01:07<00:55, 31.12ex/s]

preprocess datasets #1:  20%|█▉        | 755/3786 [01:08<04:09, 12.13ex/s]




preprocess datasets #4:  55%|█████▍    | 2076/3785 [01:08<00:51, 32.92ex/s]
preprocess datasets #0:  20%|██        | 759/3786 [01:08<04:47, 10.52ex/s]


preprocess datasets #2:  51%|█████▏    | 1942/3786 [01:08<01:05, 28.07ex/s]



preprocess datasets #3:  52%|█████▏    | 1958/3786 [01:08<01:08, 26.71ex/s]




preprocess datasets #4:  55%|█████▍    | 2081/3785 [01:08<00:46, 36.66ex/s]

preprocess datasets #1:  20%|█▉        | 757/3786 [01:08<04:24, 11.47ex/s]


preprocess datasets #2:  51%|█████▏    | 1945/3786 [01:08<01:05, 28.06ex/s]



preprocess datasets #3:  52%|█████▏    | 1962/3786 [01:08<01:02, 29.37ex/s]
preprocess datasets #0:  20%|██        | 761/3786 [01:08<04:47, 10.51ex/s]




preprocess datasets #4:  55%|█████▌    | 2085/3785 [01:08<00:48, 34.85ex/s]

preprocess datasets #1:  20%|██        | 759/3786 [01:08<04:04, 12.38ex/s]


preprocess datasets #2:  51%|█████▏    | 1949/3786 [01:08<01:03, 28.81ex/s]



preprocess datasets #3:  52%|█████▏    | 1966/3786 [01:08<01:02, 29.21ex/s]
preprocess datasets #0:  20%|██        | 763/3786 [01:08<04:41, 10.73ex/s]


preprocess datasets #2:  52%|█████▏    | 1954/3786 [01:08<00:57, 31.67ex/s]




preprocess datasets #4:  55%|█████▌    | 2089/3785 [01:08<00:57, 29.62ex/s]



preprocess datasets #3:  52%|█████▏    | 1972/3786 [01:08<00:54, 33.53ex/s]

preprocess datasets #1:  20%|██        | 761/3786 [01:08<04:29, 11.24ex/s]


preprocess datasets #2:  52%|█████▏    | 1959/3786 [01:08<00:53, 34.27ex/s]
preprocess datasets #0:  20%|██        | 765/3786 [01:08<04:16, 11.77ex/s]



preprocess datasets #3:  52%|█████▏    | 1976/3786 [01:08<00:54, 32.96ex/s]




preprocess datasets #4:  55%|█████▌    | 2093/3785 [01:08<00:58, 28.76ex/s]
preprocess datasets #0:  20%|██        | 767/3786 [01:08<03:52, 12.99ex/s]

preprocess datasets #1:  20%|██        | 763/3786 [01:08<04:22, 11.52ex/s]


preprocess datasets #2:  52%|█████▏    | 1963/3786 [01:08<00:55, 32.92ex/s]




preprocess datasets #4:  55%|█████▌    | 2097/3785 [01:08<00:54, 31.19ex/s]



preprocess datasets #3:  52%|█████▏    | 1981/3786 [01:08<00:53, 33.64ex/s]
preprocess datasets #0:  20%|██        | 769/3786 [01:08<03:40, 13.71ex/s]

preprocess datasets #1:  20%|██        | 765/3786 [01:08<04:04, 12.38ex/s]




preprocess datasets #4:  56%|█████▌    | 2101/3785 [01:08<00:54, 31.14ex/s]


preprocess datasets #2:  52%|█████▏    | 1967/3786 [01:08<01:00, 30.31ex/s]



preprocess datasets #3:  52%|█████▏    | 1985/3786 [01:08<01:00, 29.65ex/s]

preprocess datasets #1:  20%|██        | 767/3786 [01:09<03:53, 12.92ex/s]


preprocess datasets #2:  52%|█████▏    | 1971/3786 [01:09<00:56, 32.12ex/s]




preprocess datasets #4:  56%|█████▌    | 2105/3785 [01:09<00:53, 31.49ex/s]
preprocess datasets #0:  20%|██        | 771/3786 [01:09<03:54, 12.86ex/s]



preprocess datasets #3:  53%|█████▎    | 1989/3786 [01:09<01:00, 29.80ex/s]


preprocess datasets #2:  52%|█████▏    | 1977/3786 [01:09<00:47, 38.07ex/s]
preprocess datasets #0:  20%|██        | 773/3786 [01:09<03:36, 13.90ex/s]




preprocess datasets #4:  56%|█████▌    | 2109/3785 [01:09<00:55, 30.03ex/s]

preprocess datasets #1:  20%|██        | 769/3786 [01:09<03:57, 12.68ex/s]



preprocess datasets #3:  53%|█████▎    | 1993/3786 [01:09<01:00, 29.69ex/s]


preprocess datasets #2:  52%|█████▏    | 1983/3786 [01:09<00:43, 41.57ex/s]




preprocess datasets #4:  56%|█████▌    | 2114/3785 [01:09<00:50, 33.35ex/s]
preprocess datasets #0:  20%|██        | 775/3786 [01:09<03:36, 13.91ex/s]

preprocess datasets #1:  20%|██        | 771/3786 [01:09<03:56, 12.74ex/s]


preprocess datasets #2:  53%|█████▎    | 1989/3786 [01:09<00:39, 45.46ex/s]



preprocess datasets #3:  53%|█████▎    | 1998/3786 [01:09<00:55, 32.02ex/s]
preprocess datasets #0:  21%|██        | 777/3786 [01:09<03:32, 14.17ex/s]




preprocess datasets #4:  56%|█████▌    | 2118/3785 [01:09<00:54, 30.53ex/s]


preprocess datasets #2:  53%|█████▎    | 1994/3786 [01:09<00:45, 39.69ex/s]

preprocess datasets #1:  20%|██        | 773/3786 [01:09<04:11, 11.98ex/s]




preprocess datasets #4:  56%|█████▌    | 2122/3785 [01:09<00:51, 32.48ex/s]
preprocess datasets #0:  21%|██        | 779/3786 [01:09<03:51, 13.00ex/s]


preprocess datasets #2:  53%|█████▎    | 1999/3786 [01:09<00:45, 38.99ex/s]

preprocess datasets #1:  20%|██        | 775/3786 [01:09<03:56, 12.70ex/s]




preprocess datasets #4:  56%|█████▌    | 2127/3785 [01:09<00:46, 35.62ex/s]
preprocess datasets #0:  21%|██        | 781/3786 [01:09<04:06, 12.19ex/s]




preprocess datasets #4:  56%|█████▋    | 2131/3785 [01:09<00:53, 30.98ex/s]

preprocess datasets #1:  21%|██        | 777/3786 [01:09<04:31, 11.06ex/s]
preprocess datasets #0:  21%|██        | 783/3786 [01:09<03:50, 13.03ex/s]




preprocess datasets #4:  56%|█████▋    | 2135/3785 [01:09<00:51, 32.25ex/s]



preprocess datasets #3:  53%|█████▎    | 2002/3786 [01:10<01:56, 15.28ex/s]

preprocess datasets #1:  21%|██        | 779/3786 [01:10<04:27, 11.26ex/s]



preprocess datasets #3:  53%|█████▎    | 2005/3786 [01:10<01:44, 17.09ex/s]
preprocess datasets #0:  21%|██        | 785/3786 [01:10<03:58, 12.58ex/s]




preprocess datasets #4:  57%|█████▋    | 2139/3785 [01:10<00:55, 29.78ex/s]


preprocess datasets #2:  53%|█████▎    | 2004/3786 [01:10<01:22, 21.70ex/s]

preprocess datasets #1:  21%|██        | 781/3786 [01:10<04:11, 11.94ex/s]



preprocess datasets #3:  53%|█████▎    | 2009/3786 [01:10<01:27, 20.39ex/s]




preprocess datasets #4:  57%|█████▋    | 2143/3785 [01:10<00:57, 28.67ex/s]


preprocess datasets #2:  53%|█████▎    | 2008/3786 [01:10<01:16, 23.27ex/s]
preprocess datasets #0:  21%|██        | 787/3786 [01:10<04:13, 11.85ex/s]



preprocess datasets #3:  53%|█████▎    | 2014/3786 [01:10<01:10, 25.28ex/s]

preprocess datasets #1:  21%|██        | 783/3786 [01:10<04:11, 11.92ex/s]




preprocess datasets #4:  57%|█████▋    | 2146/3785 [01:10<01:04, 25.40ex/s]



preprocess datasets #3:  53%|█████▎    | 2018/3786 [01:10<01:05, 26.83ex/s]


preprocess datasets #2:  53%|█████▎    | 2012/3786 [01:10<01:19, 22.29ex/s]
preprocess datasets #0:  21%|██        | 789/3786 [01:10<04:19, 11.56ex/s]

preprocess datasets #1:  21%|██        | 785/3786 [01:10<04:02, 12.36ex/s]




preprocess datasets #4:  57%|█████▋    | 2149/3785 [01:10<01:08, 24.01ex/s]



preprocess datasets #3:  53%|█████▎    | 2024/3786 [01:10<00:54, 32.37ex/s]


preprocess datasets #2:  53%|█████▎    | 2016/3786 [01:10<01:16, 23.13ex/s]
preprocess datasets #0:  21%|██        | 791/3786 [01:10<04:12, 11.85ex/s]



preprocess datasets #3:  54%|█████▎    | 2028/3786 [01:10<00:52, 33.53ex/s]

preprocess datasets #1:  21%|██        | 787/3786 [01:10<04:10, 11.96ex/s]




preprocess datasets #4:  57%|█████▋    | 2152/3785 [01:10<01:12, 22.49ex/s]


preprocess datasets #2:  53%|█████▎    | 2019/3786 [01:10<01:14, 23.63ex/s]



preprocess datasets #3:  54%|█████▎    | 2032/3786 [01:10<00:53, 32.76ex/s]

preprocess datasets #1:  21%|██        | 789/3786 [01:10<04:10, 11.99ex/s]
preprocess datasets #0:  21%|██        | 793/3786 [01:10<04:43, 10.56ex/s]


preprocess datasets #2:  53%|█████▎    | 2023/3786 [01:10<01:11, 24.82ex/s]




preprocess datasets #4:  57%|█████▋    | 2155/3785 [01:10<01:20, 20.27ex/s]



preprocess datasets #3:  54%|█████▍    | 2036/3786 [01:10<00:57, 30.21ex/s]


preprocess datasets #2:  54%|█████▎    | 2026/3786 [01:11<01:11, 24.48ex/s]
preprocess datasets #0:  21%|██        | 795/3786 [01:11<04:20, 11.46ex/s]




preprocess datasets #4:  57%|█████▋    | 2158/3785 [01:11<01:21, 20.07ex/s]

preprocess datasets #1:  21%|██        | 791/3786 [01:11<04:28, 11.16ex/s]



preprocess datasets #3:  54%|█████▍    | 2040/3786 [01:11<00:58, 29.62ex/s]


preprocess datasets #2:  54%|█████▎    | 2029/3786 [01:11<01:14, 23.46ex/s]




preprocess datasets #4:  57%|█████▋    | 2161/3785 [01:11<01:13, 22.13ex/s]
preprocess datasets #0:  21%|██        | 797/3786 [01:11<04:23, 11.35ex/s]

preprocess datasets #1:  21%|██        | 793/3786 [01:11<04:13, 11.83ex/s]



preprocess datasets #3:  54%|█████▍    | 2044/3786 [01:11<01:00, 28.60ex/s]


preprocess datasets #2:  54%|█████▎    | 2033/3786 [01:11<01:09, 25.37ex/s]




preprocess datasets #4:  57%|█████▋    | 2164/3785 [01:11<01:14, 21.73ex/s]
preprocess datasets #0:  21%|██        | 800/3786 [01:11<03:45, 13.26ex/s]



preprocess datasets #3:  54%|█████▍    | 2047/3786 [01:11<01:01, 28.10ex/s]

preprocess datasets #1:  21%|██        | 795/3786 [01:11<04:06, 12.14ex/s]


preprocess datasets #2:  54%|█████▍    | 2038/3786 [01:11<00:56, 30.91ex/s]




preprocess datasets #4:  57%|█████▋    | 2167/3785 [01:11<01:10, 22.85ex/s]



preprocess datasets #3:  54%|█████▍    | 2052/3786 [01:11<00:53, 32.16ex/s]
preprocess datasets #0:  21%|██        | 802/3786 [01:11<03:43, 13.36ex/s]

preprocess datasets #1:  21%|██        | 797/3786 [01:11<04:00, 12.42ex/s]




preprocess datasets #4:  57%|█████▋    | 2172/3785 [01:11<00:56, 28.43ex/s]


preprocess datasets #2:  54%|█████▍    | 2042/3786 [01:11<01:01, 28.17ex/s]



preprocess datasets #3:  54%|█████▍    | 2056/3786 [01:11<00:55, 31.15ex/s]

preprocess datasets #1:  21%|██        | 799/3786 [01:11<03:53, 12.77ex/s]




preprocess datasets #4:  57%|█████▋    | 2176/3785 [01:11<00:56, 28.58ex/s]
preprocess datasets #0:  21%|██        | 804/3786 [01:11<03:52, 12.84ex/s]



preprocess datasets #3:  54%|█████▍    | 2060/3786 [01:11<00:54, 31.64ex/s]


preprocess datasets #2:  54%|█████▍    | 2046/3786 [01:11<01:09, 24.92ex/s]




preprocess datasets #4:  58%|█████▊    | 2179/3785 [01:11<00:58, 27.51ex/s]
preprocess datasets #0:  21%|██▏       | 806/3786 [01:11<03:51, 12.86ex/s]

preprocess datasets #1:  21%|██        | 801/3786 [01:11<04:02, 12.30ex/s]


preprocess datasets #2:  54%|█████▍    | 2049/3786 [01:11<01:13, 23.53ex/s]



preprocess datasets #3:  55%|█████▍    | 2064/3786 [01:11<01:01, 28.12ex/s]




preprocess datasets #4:  58%|█████▊    | 2183/3785 [01:11<00:58, 27.50ex/s]
preprocess datasets #0:  21%|██▏       | 808/3786 [01:12<03:49, 12.96ex/s]


preprocess datasets #2:  54%|█████▍    | 2052/3786 [01:12<01:09, 24.89ex/s]




preprocess datasets #4:  58%|█████▊    | 2188/3785 [01:12<00:49, 32.41ex/s]



preprocess datasets #3:  55%|█████▍    | 2068/3786 [01:12<00:58, 29.25ex/s]

preprocess datasets #1:  21%|██        | 803/3786 [01:12<04:21, 11.42ex/s]


preprocess datasets #2:  54%|█████▍    | 2056/3786 [01:12<01:03, 27.13ex/s]
preprocess datasets #0:  21%|██▏       | 810/3786 [01:12<03:50, 12.94ex/s]



preprocess datasets #3:  55%|█████▍    | 2072/3786 [01:12<00:57, 29.70ex/s]




preprocess datasets #4:  58%|█████▊    | 2193/3785 [01:12<00:46, 34.11ex/s]


preprocess datasets #2:  54%|█████▍    | 2059/3786 [01:12<01:08, 25.28ex/s]

preprocess datasets #1:  21%|██▏       | 805/3786 [01:12<04:45, 10.45ex/s]




preprocess datasets #4:  58%|█████▊    | 2197/3785 [01:12<00:45, 34.75ex/s]
preprocess datasets #0:  21%|██▏       | 812/3786 [01:12<03:54, 12.69ex/s]



preprocess datasets #3:  55%|█████▍    | 2076/3786 [01:12<01:00, 28.49ex/s]




preprocess datasets #4:  58%|█████▊    | 2201/3785 [01:12<00:44, 35.62ex/s]


preprocess datasets #2:  54%|█████▍    | 2063/3786 [01:12<01:04, 26.76ex/s]



preprocess datasets #3:  55%|█████▍    | 2079/3786 [01:12<01:00, 28.31ex/s]

preprocess datasets #1:  21%|██▏       | 807/3786 [01:12<04:46, 10.40ex/s]
preprocess datasets #0:  22%|██▏       | 814/3786 [01:12<04:01, 12.29ex/s]




preprocess datasets #4:  58%|█████▊    | 2205/3785 [01:12<00:44, 35.27ex/s]


preprocess datasets #2:  55%|█████▍    | 2066/3786 [01:12<01:04, 26.59ex/s]



preprocess datasets #3:  55%|█████▌    | 2084/3786 [01:12<00:52, 32.24ex/s]




preprocess datasets #4:  58%|█████▊    | 2209/3785 [01:12<00:45, 34.88ex/s]


preprocess datasets #2:  55%|█████▍    | 2069/3786 [01:12<01:04, 26.68ex/s]
preprocess datasets #0:  22%|██▏       | 816/3786 [01:12<03:55, 12.61ex/s]



preprocess datasets #3:  55%|█████▌    | 2088/3786 [01:12<00:59, 28.42ex/s]


preprocess datasets #2:  55%|█████▍    | 2072/3786 [01:12<01:03, 26.93ex/s]

preprocess datasets #1:  21%|██▏       | 809/3786 [01:12<05:17,  9.39ex/s]
preprocess datasets #0:  22%|██▏       | 818/3786 [01:12<03:40, 13.45ex/s]




preprocess datasets #4:  58%|█████▊    | 2214/3785 [01:12<00:46, 34.12ex/s]



preprocess datasets #3:  55%|█████▌    | 2091/3786 [01:12<01:01, 27.42ex/s]


preprocess datasets #2:  55%|█████▍    | 2075/3786 [01:12<01:10, 24.36ex/s]

preprocess datasets #1:  21%|██▏       | 811/3786 [01:12<04:51, 10.21ex/s]
preprocess datasets #0:  22%|██▏       | 820/3786 [01:12<03:39, 13.53ex/s]




preprocess datasets #4:  59%|█████▊    | 2218/3785 [01:12<00:47, 32.85ex/s]



preprocess datasets #3:  55%|█████▌    | 2095/3786 [01:12<00:57, 29.20ex/s]


preprocess datasets #2:  55%|█████▍    | 2079/3786 [01:13<01:04, 26.54ex/s]




preprocess datasets #4:  59%|█████▊    | 2223/3785 [01:13<00:42, 36.76ex/s]

preprocess datasets #1:  21%|██▏       | 813/3786 [01:13<04:37, 10.72ex/s]



preprocess datasets #3:  55%|█████▌    | 2100/3786 [01:13<00:51, 32.96ex/s]
preprocess datasets #0:  22%|██▏       | 822/3786 [01:13<04:04, 12.12ex/s]


preprocess datasets #2:  55%|█████▌    | 2083/3786 [01:13<00:59, 28.67ex/s]




preprocess datasets #4:  59%|█████▉    | 2227/3785 [01:13<00:49, 31.33ex/s]



preprocess datasets #3:  56%|█████▌    | 2105/3786 [01:13<00:46, 35.89ex/s]

preprocess datasets #1:  22%|██▏       | 815/3786 [01:13<04:22, 11.30ex/s]
preprocess datasets #0:  22%|██▏       | 824/3786 [01:13<03:53, 12.69ex/s]


preprocess datasets #2:  55%|█████▌    | 2087/3786 [01:13<00:57, 29.74ex/s]



preprocess datasets #3:  56%|█████▌    | 2109/3786 [01:13<00:52, 32.21ex/s]

preprocess datasets #1:  22%|██▏       | 817/3786 [01:13<04:12, 11.77ex/s]




preprocess datasets #4:  59%|█████▉    | 2231/3785 [01:13<00:55, 27.91ex/s]
preprocess datasets #0:  22%|██▏       | 826/3786 [01:13<03:44, 13.19ex/s]


preprocess datasets #2:  55%|█████▌    | 2091/3786 [01:13<01:03, 26.83ex/s]



preprocess datasets #3:  56%|█████▌    | 2114/3786 [01:13<00:46, 36.12ex/s]




preprocess datasets #4:  59%|█████▉    | 2234/3785 [01:13<00:55, 27.73ex/s]

preprocess datasets #1:  22%|██▏       | 819/3786 [01:13<04:07, 11.97ex/s]


preprocess datasets #2:  55%|█████▌    | 2094/3786 [01:13<01:02, 27.07ex/s]
preprocess datasets #0:  22%|██▏       | 828/3786 [01:13<03:55, 12.57ex/s]



preprocess datasets #3:  56%|█████▌    | 2118/3786 [01:13<00:49, 33.56ex/s]




preprocess datasets #4:  59%|█████▉    | 2237/3785 [01:13<00:58, 26.65ex/s]


preprocess datasets #2:  55%|█████▌    | 2098/3786 [01:13<00:59, 28.18ex/s]



preprocess datasets #3:  56%|█████▌    | 2123/3786 [01:13<00:44, 37.20ex/s]

preprocess datasets #1:  22%|██▏       | 822/3786 [01:13<03:47, 13.05ex/s]
preprocess datasets #0:  22%|██▏       | 830/3786 [01:13<04:00, 12.30ex/s]




preprocess datasets #4:  59%|█████▉    | 2240/3785 [01:13<01:03, 24.45ex/s]


preprocess datasets #2:  56%|█████▌    | 2102/3786 [01:13<00:57, 29.53ex/s]



preprocess datasets #3:  56%|█████▌    | 2129/3786 [01:13<00:39, 42.18ex/s]
preprocess datasets #0:  22%|██▏       | 832/3786 [01:13<03:35, 13.74ex/s]

preprocess datasets #1:  22%|██▏       | 824/3786 [01:13<03:51, 12.78ex/s]




preprocess datasets #4:  59%|█████▉    | 2244/3785 [01:13<00:58, 26.42ex/s]


preprocess datasets #2:  56%|█████▌    | 2106/3786 [01:13<00:52, 32.06ex/s]



preprocess datasets #3:  56%|█████▋    | 2134/3786 [01:13<00:40, 40.82ex/s]




preprocess datasets #4:  59%|█████▉    | 2247/3785 [01:14<01:01, 25.16ex/s]
preprocess datasets #0:  22%|██▏       | 834/3786 [01:14<03:56, 12.49ex/s]


preprocess datasets #2:  56%|█████▌    | 2110/3786 [01:14<00:56, 29.54ex/s]



preprocess datasets #3:  56%|█████▋    | 2139/3786 [01:14<00:39, 41.18ex/s]

preprocess datasets #1:  22%|██▏       | 826/3786 [01:14<04:11, 11.76ex/s]




preprocess datasets #4:  59%|█████▉    | 2251/3785 [01:14<00:55, 27.52ex/s]


preprocess datasets #2:  56%|█████▌    | 2115/3786 [01:14<00:52, 32.11ex/s]



preprocess datasets #3:  57%|█████▋    | 2145/3786 [01:14<00:36, 44.57ex/s]
preprocess datasets #0:  22%|██▏       | 836/3786 [01:14<03:55, 12.50ex/s]




preprocess datasets #4:  60%|█████▉    | 2256/3785 [01:14<00:46, 32.60ex/s]

preprocess datasets #1:  22%|██▏       | 829/3786 [01:14<03:39, 13.50ex/s]
preprocess datasets #0:  22%|██▏       | 838/3786 [01:14<03:44, 13.12ex/s]


preprocess datasets #2:  56%|█████▌    | 2119/3786 [01:14<00:56, 29.65ex/s]



preprocess datasets #3:  57%|█████▋    | 2150/3786 [01:14<00:43, 37.20ex/s]




preprocess datasets #4:  60%|█████▉    | 2260/3785 [01:14<00:51, 29.38ex/s]
preprocess datasets #0:  22%|██▏       | 840/3786 [01:14<03:22, 14.56ex/s]

preprocess datasets #1:  22%|██▏       | 831/3786 [01:14<03:55, 12.57ex/s]


preprocess datasets #2:  56%|█████▌    | 2123/3786 [01:14<00:58, 28.39ex/s]



preprocess datasets #3:  57%|█████▋    | 2154/3786 [01:14<00:47, 34.42ex/s]
preprocess datasets #0:  22%|██▏       | 843/3786 [01:14<02:52, 17.02ex/s]




preprocess datasets #4:  60%|█████▉    | 2264/3785 [01:14<00:53, 28.68ex/s]

preprocess datasets #1:  22%|██▏       | 833/3786 [01:14<03:57, 12.43ex/s]



preprocess datasets #3:  57%|█████▋    | 2158/3786 [01:14<00:48, 33.75ex/s]


preprocess datasets #2:  56%|█████▌    | 2127/3786 [01:14<00:58, 28.33ex/s]
preprocess datasets #0:  22%|██▏       | 845/3786 [01:14<03:03, 16.01ex/s]




preprocess datasets #4:  60%|█████▉    | 2267/3785 [01:14<00:57, 26.35ex/s]

preprocess datasets #1:  22%|██▏       | 835/3786 [01:14<03:44, 13.16ex/s]


preprocess datasets #2:  56%|█████▋    | 2130/3786 [01:14<01:01, 26.90ex/s]



preprocess datasets #3:  57%|█████▋    | 2163/3786 [01:14<00:47, 34.24ex/s]
preprocess datasets #0:  22%|██▏       | 847/3786 [01:14<03:01, 16.18ex/s]




preprocess datasets #4:  60%|██████    | 2271/3785 [01:14<00:57, 26.38ex/s]


preprocess datasets #2:  56%|█████▋    | 2133/3786 [01:14<01:00, 27.51ex/s]

preprocess datasets #1:  22%|██▏       | 837/3786 [01:14<03:47, 12.99ex/s]



preprocess datasets #3:  57%|█████▋    | 2167/3786 [01:14<00:53, 30.09ex/s]




preprocess datasets #4:  60%|██████    | 2274/3785 [01:14<00:59, 25.39ex/s]


preprocess datasets #2:  56%|█████▋    | 2138/3786 [01:15<00:55, 29.74ex/s]
preprocess datasets #0:  22%|██▏       | 849/3786 [01:15<03:43, 13.13ex/s]

preprocess datasets #1:  22%|██▏       | 840/3786 [01:15<03:19, 14.76ex/s]




preprocess datasets #4:  60%|██████    | 2277/3785 [01:15<00:58, 25.79ex/s]



preprocess datasets #3:  57%|█████▋    | 2171/3786 [01:15<00:59, 27.25ex/s]


preprocess datasets #2:  57%|█████▋    | 2142/3786 [01:15<00:59, 27.54ex/s]

preprocess datasets #1:  22%|██▏       | 842/3786 [01:15<03:21, 14.62ex/s]
preprocess datasets #0:  22%|██▏       | 851/3786 [01:15<03:49, 12.79ex/s]




preprocess datasets #4:  60%|██████    | 2281/3785 [01:15<00:56, 26.50ex/s]



preprocess datasets #3:  57%|█████▋    | 2174/3786 [01:15<01:01, 26.06ex/s]


preprocess datasets #2:  57%|█████▋    | 2145/3786 [01:15<01:02, 26.06ex/s]




preprocess datasets #4:  60%|██████    | 2285/3785 [01:15<00:52, 28.80ex/s]



preprocess datasets #3:  58%|█████▊    | 2177/3786 [01:15<01:00, 26.59ex/s]
preprocess datasets #0:  23%|██▎       | 853/3786 [01:15<03:59, 12.24ex/s]


preprocess datasets #2:  57%|█████▋    | 2148/3786 [01:15<01:03, 25.90ex/s]

preprocess datasets #1:  22%|██▏       | 844/3786 [01:15<04:06, 11.95ex/s]



preprocess datasets #3:  58%|█████▊    | 2180/3786 [01:15<00:59, 27.13ex/s]




preprocess datasets #4:  61%|██████    | 2290/3785 [01:15<00:49, 30.27ex/s]
preprocess datasets #0:  23%|██▎       | 855/3786 [01:15<03:57, 12.33ex/s]



preprocess datasets #3:  58%|█████▊    | 2185/3786 [01:15<00:48, 32.84ex/s]


preprocess datasets #2:  57%|█████▋    | 2152/3786 [01:15<01:01, 26.41ex/s]

preprocess datasets #1:  22%|██▏       | 846/3786 [01:15<04:08, 11.83ex/s]




preprocess datasets #4:  61%|██████    | 2294/3785 [01:15<00:50, 29.77ex/s]



preprocess datasets #3:  58%|█████▊    | 2189/3786 [01:15<00:46, 34.53ex/s]
preprocess datasets #0:  23%|██▎       | 858/3786 [01:15<03:21, 14.50ex/s]


preprocess datasets #2:  57%|█████▋    | 2156/3786 [01:15<01:02, 26.25ex/s]




preprocess datasets #4:  61%|██████    | 2297/3785 [01:15<00:51, 29.13ex/s]

preprocess datasets #1:  22%|██▏       | 848/3786 [01:15<04:10, 11.73ex/s]



preprocess datasets #3:  58%|█████▊    | 2193/3786 [01:15<00:48, 32.94ex/s]




preprocess datasets #4:  61%|██████    | 2301/3785 [01:15<00:46, 31.77ex/s]


preprocess datasets #2:  57%|█████▋    | 2159/3786 [01:15<01:02, 26.18ex/s]
preprocess datasets #0:  23%|██▎       | 860/3786 [01:15<03:29, 13.96ex/s]



preprocess datasets #3:  58%|█████▊    | 2198/3786 [01:15<00:45, 35.04ex/s]




preprocess datasets #4:  61%|██████    | 2305/3785 [01:15<00:45, 32.63ex/s]


preprocess datasets #2:  57%|█████▋    | 2163/3786 [01:16<00:59, 27.07ex/s]
preprocess datasets #0:  23%|██▎       | 862/3786 [01:16<03:44, 13.04ex/s]



preprocess datasets #3:  58%|█████▊    | 2202/3786 [01:16<00:47, 33.28ex/s]




preprocess datasets #4:  61%|██████    | 2310/3785 [01:16<00:42, 34.77ex/s]


preprocess datasets #2:  57%|█████▋    | 2166/3786 [01:16<01:05, 24.91ex/s]
preprocess datasets #0:  23%|██▎       | 864/3786 [01:16<03:28, 14.02ex/s]

preprocess datasets #1:  22%|██▏       | 850/3786 [01:16<05:41,  8.60ex/s]



preprocess datasets #3:  58%|█████▊    | 2206/3786 [01:16<00:51, 30.60ex/s]
preprocess datasets #0:  23%|██▎       | 866/3786 [01:16<03:11, 15.25ex/s]


preprocess datasets #2:  57%|█████▋    | 2169/3786 [01:16<01:06, 24.18ex/s]

preprocess datasets #1:  23%|██▎       | 852/3786 [01:16<04:47, 10.19ex/s]




preprocess datasets #4:  61%|██████    | 2314/3785 [01:16<00:51, 28.48ex/s]



preprocess datasets #3:  58%|█████▊    | 2211/3786 [01:16<00:44, 35.13ex/s]


preprocess datasets #2:  57%|█████▋    | 2172/3786 [01:16<01:03, 25.29ex/s]

preprocess datasets #1:  23%|██▎       | 854/3786 [01:16<04:32, 10.76ex/s]




preprocess datasets #4:  61%|██████▏   | 2321/3785 [01:16<00:43, 33.81ex/s]



preprocess datasets #3:  59%|█████▊    | 2216/3786 [01:16<00:41, 37.61ex/s]


preprocess datasets #2:  57%|█████▋    | 2175/3786 [01:16<01:07, 23.81ex/s]
preprocess datasets #0:  23%|██▎       | 868/3786 [01:16<04:12, 11.57ex/s]




preprocess datasets #4:  61%|██████▏   | 2325/3785 [01:16<00:45, 32.01ex/s]



preprocess datasets #3:  59%|█████▊    | 2220/3786 [01:16<00:45, 34.15ex/s]
preprocess datasets #0:  23%|██▎       | 870/3786 [01:16<03:43, 13.04ex/s]


preprocess datasets #2:  58%|█████▊    | 2179/3786 [01:16<01:05, 24.40ex/s]

preprocess datasets #1:  23%|██▎       | 856/3786 [01:16<04:59,  9.78ex/s]




preprocess datasets #4:  62%|██████▏   | 2329/3785 [01:16<00:43, 33.46ex/s]



preprocess datasets #3:  59%|█████▉    | 2225/3786 [01:16<00:44, 34.70ex/s]


preprocess datasets #2:  58%|█████▊    | 2182/3786 [01:16<01:02, 25.67ex/s]
preprocess datasets #0:  23%|██▎       | 872/3786 [01:16<03:54, 12.40ex/s]

preprocess datasets #1:  23%|██▎       | 858/3786 [01:16<04:25, 11.04ex/s]




preprocess datasets #4:  62%|██████▏   | 2333/3785 [01:16<00:45, 31.85ex/s]



preprocess datasets #3:  59%|█████▉    | 2230/3786 [01:16<00:45, 34.38ex/s]


preprocess datasets #2:  58%|█████▊    | 2186/3786 [01:16<00:58, 27.13ex/s]

preprocess datasets #1:  23%|██▎       | 860/3786 [01:17<04:06, 11.86ex/s]




preprocess datasets #4:  62%|██████▏   | 2337/3785 [01:17<00:47, 30.26ex/s]
preprocess datasets #0:  23%|██▎       | 875/3786 [01:17<03:30, 13.82ex/s]


preprocess datasets #2:  58%|█████▊    | 2189/3786 [01:17<01:02, 25.57ex/s]



preprocess datasets #3:  59%|█████▉    | 2234/3786 [01:17<00:50, 30.62ex/s]




preprocess datasets #4:  62%|██████▏   | 2341/3785 [01:17<00:48, 30.03ex/s]


preprocess datasets #2:  58%|█████▊    | 2192/3786 [01:17<01:02, 25.60ex/s]
preprocess datasets #0:  23%|██▎       | 877/3786 [01:17<03:41, 13.14ex/s]

preprocess datasets #1:  23%|██▎       | 862/3786 [01:17<04:26, 10.97ex/s]



preprocess datasets #3:  59%|█████▉    | 2238/3786 [01:17<00:51, 30.13ex/s]




preprocess datasets #4:  62%|██████▏   | 2345/3785 [01:17<00:44, 32.36ex/s]


preprocess datasets #2:  58%|█████▊    | 2195/3786 [01:17<01:00, 26.25ex/s]
preprocess datasets #0:  23%|██▎       | 879/3786 [01:17<03:24, 14.20ex/s]




preprocess datasets #4:  62%|██████▏   | 2352/3785 [01:17<00:34, 41.33ex/s]



preprocess datasets #3:  59%|█████▉    | 2242/3786 [01:17<00:58, 26.31ex/s]

preprocess datasets #1:  23%|██▎       | 864/3786 [01:17<04:44, 10.29ex/s]


preprocess datasets #2:  58%|█████▊    | 2198/3786 [01:17<01:04, 24.71ex/s]
preprocess datasets #0:  23%|██▎       | 881/3786 [01:17<03:24, 14.21ex/s]




preprocess datasets #4:  62%|██████▏   | 2359/3785 [01:17<00:30, 46.20ex/s]


preprocess datasets #2:  58%|█████▊    | 2202/3786 [01:17<00:57, 27.70ex/s]



preprocess datasets #3:  59%|█████▉    | 2245/3786 [01:17<01:01, 25.13ex/s]
preprocess datasets #0:  23%|██▎       | 883/3786 [01:17<03:24, 14.23ex/s]




preprocess datasets #4:  63%|██████▎   | 2367/3785 [01:17<00:26, 53.05ex/s]

preprocess datasets #1:  23%|██▎       | 866/3786 [01:17<04:41, 10.39ex/s]


preprocess datasets #2:  58%|█████▊    | 2205/3786 [01:17<00:56, 28.18ex/s]



preprocess datasets #3:  59%|█████▉    | 2248/3786 [01:17<01:09, 22.19ex/s]




preprocess datasets #4:  63%|██████▎   | 2373/3785 [01:17<00:29, 47.65ex/s]


preprocess datasets #2:  58%|█████▊    | 2208/3786 [01:17<00:56, 27.70ex/s]
preprocess datasets #0:  23%|██▎       | 885/3786 [01:17<03:42, 13.06ex/s]

preprocess datasets #1:  23%|██▎       | 868/3786 [01:17<04:25, 11.00ex/s]


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preprocess datasets #3:  59%|█████▉    | 2251/3786 [01:17<01:12, 21.28ex/s]
preprocess datasets #0:  23%|██▎       | 887/3786 [01:17<03:54, 12.36ex/s]




preprocess datasets #4:  63%|██████▎   | 2378/3785 [01:17<00:38, 36.60ex/s]


preprocess datasets #2:  58%|█████▊    | 2214/3786 [01:17<00:57, 27.15ex/s]

preprocess datasets #1:  23%|██▎       | 870/3786 [01:18<04:52,  9.98ex/s]



preprocess datasets #3:  60%|█████▉    | 2256/3786 [01:18<00:58, 25.94ex/s]
preprocess datasets #0:  23%|██▎       | 889/3786 [01:18<03:43, 12.95ex/s]


preprocess datasets #2:  59%|█████▊    | 2217/3786 [01:18<01:00, 26.03ex/s]




preprocess datasets #4:  63%|██████▎   | 2383/3785 [01:18<00:39, 35.45ex/s]



preprocess datasets #3:  60%|█████▉    | 2260/3786 [01:18<00:56, 26.98ex/s]

preprocess datasets #1:  23%|██▎       | 872/3786 [01:18<04:55,  9.86ex/s]
preprocess datasets #0:  24%|██▎       | 891/3786 [01:18<03:43, 12.94ex/s]




preprocess datasets #4:  63%|██████▎   | 2387/3785 [01:18<00:40, 34.54ex/s]



preprocess datasets #3:  60%|█████▉    | 2265/3786 [01:18<00:47, 31.79ex/s]


preprocess datasets #2:  59%|█████▊    | 2221/3786 [01:18<01:00, 25.79ex/s]
preprocess datasets #0:  24%|██▎       | 893/3786 [01:18<03:31, 13.67ex/s]




preprocess datasets #4:  63%|██████▎   | 2391/3785 [01:18<00:40, 34.30ex/s]



preprocess datasets #3:  60%|█████▉    | 2270/3786 [01:18<00:43, 34.74ex/s]


preprocess datasets #2:  59%|█████▊    | 2224/3786 [01:18<01:01, 25.59ex/s]

preprocess datasets #1:  23%|██▎       | 874/3786 [01:18<04:49, 10.07ex/s]



preprocess datasets #3:  60%|██████    | 2274/3786 [01:18<00:42, 35.60ex/s]




preprocess datasets #4:  63%|██████▎   | 2396/3785 [01:18<00:38, 35.65ex/s]
preprocess datasets #0:  24%|██▎       | 896/3786 [01:18<03:02, 15.81ex/s]


preprocess datasets #2:  59%|█████▉    | 2228/3786 [01:18<00:56, 27.76ex/s]



preprocess datasets #3:  60%|██████    | 2279/3786 [01:18<00:40, 37.66ex/s]


preprocess datasets #2:  59%|█████▉    | 2232/3786 [01:18<00:51, 30.00ex/s]

preprocess datasets #1:  23%|██▎       | 876/3786 [01:18<04:59,  9.73ex/s]
preprocess datasets #0:  24%|██▎       | 898/3786 [01:18<03:06, 15.51ex/s]




preprocess datasets #4:  63%|██████▎   | 2400/3785 [01:18<00:42, 32.78ex/s]


preprocess datasets #2:  59%|█████▉    | 2237/3786 [01:18<00:44, 34.88ex/s]



preprocess datasets #3:  60%|██████    | 2283/3786 [01:18<00:42, 35.44ex/s]
preprocess datasets #0:  24%|██▍       | 900/3786 [01:18<03:01, 15.89ex/s]

preprocess datasets #1:  23%|██▎       | 878/3786 [01:18<04:36, 10.50ex/s]



preprocess datasets #3:  60%|██████    | 2287/3786 [01:18<00:42, 35.64ex/s]


preprocess datasets #2:  59%|█████▉    | 2243/3786 [01:18<00:39, 38.80ex/s]




preprocess datasets #4:  64%|██████▎   | 2404/3785 [01:18<00:52, 26.46ex/s]

preprocess datasets #1:  23%|██▎       | 880/3786 [01:18<04:14, 11.43ex/s]
preprocess datasets #0:  24%|██▍       | 902/3786 [01:18<03:23, 14.16ex/s]


preprocess datasets #2:  59%|█████▉    | 2249/3786 [01:18<00:35, 43.40ex/s]



preprocess datasets #3:  61%|██████    | 2291/3786 [01:19<00:47, 31.22ex/s]




preprocess datasets #4:  64%|██████▎   | 2409/3785 [01:19<00:47, 29.16ex/s]

preprocess datasets #1:  23%|██▎       | 882/3786 [01:19<03:43, 13.00ex/s]


preprocess datasets #2:  60%|█████▉    | 2254/3786 [01:19<00:36, 42.29ex/s]
preprocess datasets #0:  24%|██▍       | 904/3786 [01:19<03:31, 13.64ex/s]




preprocess datasets #4:  64%|██████▍   | 2414/3785 [01:19<00:43, 31.84ex/s]



preprocess datasets #3:  61%|██████    | 2295/3786 [01:19<00:49, 30.32ex/s]


preprocess datasets #2:  60%|█████▉    | 2259/3786 [01:19<00:35, 42.69ex/s]

preprocess datasets #1:  23%|██▎       | 884/3786 [01:19<04:02, 11.98ex/s]
preprocess datasets #0:  24%|██▍       | 906/3786 [01:19<03:29, 13.71ex/s]




preprocess datasets #4:  64%|██████▍   | 2418/3785 [01:19<00:44, 30.49ex/s]



preprocess datasets #3:  61%|██████    | 2300/3786 [01:19<00:48, 30.57ex/s]

preprocess datasets #1:  23%|██▎       | 886/3786 [01:19<03:50, 12.60ex/s]


preprocess datasets #2:  60%|█████▉    | 2264/3786 [01:19<00:40, 37.30ex/s]
preprocess datasets #0:  24%|██▍       | 908/3786 [01:19<03:29, 13.72ex/s]



preprocess datasets #3:  61%|██████    | 2304/3786 [01:19<00:49, 30.04ex/s]
preprocess datasets #0:  24%|██▍       | 910/3786 [01:19<03:14, 14.82ex/s]


preprocess datasets #2:  60%|█████▉    | 2268/3786 [01:19<00:42, 35.58ex/s]




preprocess datasets #4:  64%|██████▍   | 2422/3785 [01:19<00:54, 25.11ex/s]

preprocess datasets #1:  23%|██▎       | 888/3786 [01:19<04:03, 11.89ex/s]



preprocess datasets #3:  61%|██████    | 2308/3786 [01:19<00:46, 31.74ex/s]


preprocess datasets #2:  60%|██████    | 2272/3786 [01:19<00:44, 34.15ex/s]
preprocess datasets #0:  24%|██▍       | 912/3786 [01:19<03:21, 14.29ex/s]



preprocess datasets #3:  61%|██████    | 2312/3786 [01:19<00:45, 32.19ex/s]




preprocess datasets #4:  64%|██████▍   | 2425/3785 [01:19<00:58, 23.35ex/s]

preprocess datasets #1:  24%|██▎       | 890/3786 [01:19<03:55, 12.28ex/s]


preprocess datasets #2:  60%|██████    | 2276/3786 [01:19<00:45, 33.19ex/s]
preprocess datasets #0:  24%|██▍       | 914/3786 [01:19<03:11, 14.97ex/s]




preprocess datasets #4:  64%|██████▍   | 2428/3785 [01:19<00:56, 23.93ex/s]



preprocess datasets #3:  61%|██████    | 2316/3786 [01:19<00:46, 31.91ex/s]

preprocess datasets #1:  24%|██▎       | 892/3786 [01:19<03:33, 13.53ex/s]


preprocess datasets #2:  60%|██████    | 2280/3786 [01:19<00:47, 31.96ex/s]
preprocess datasets #0:  24%|██▍       | 916/3786 [01:19<03:25, 13.99ex/s]




preprocess datasets #4:  64%|██████▍   | 2432/3785 [01:19<00:54, 24.79ex/s]



preprocess datasets #3:  61%|██████▏   | 2320/3786 [01:19<00:48, 30.01ex/s]

preprocess datasets #1:  24%|██▎       | 894/3786 [01:20<03:44, 12.89ex/s]


preprocess datasets #2:  60%|██████    | 2284/3786 [01:20<00:45, 32.81ex/s]




preprocess datasets #4:  64%|██████▍   | 2436/3785 [01:20<00:48, 27.75ex/s]
preprocess datasets #0:  24%|██▍       | 918/3786 [01:20<03:20, 14.32ex/s]



preprocess datasets #3:  61%|██████▏   | 2324/3786 [01:20<00:49, 29.33ex/s]


preprocess datasets #2:  60%|██████    | 2289/3786 [01:20<00:41, 36.30ex/s]

preprocess datasets #1:  24%|██▎       | 896/3786 [01:20<03:58, 12.11ex/s]




preprocess datasets #4:  64%|██████▍   | 2439/3785 [01:20<00:50, 26.59ex/s]
preprocess datasets #0:  24%|██▍       | 920/3786 [01:20<03:16, 14.58ex/s]



preprocess datasets #3:  61%|██████▏   | 2328/3786 [01:20<00:47, 30.59ex/s]


preprocess datasets #2:  61%|██████    | 2293/3786 [01:20<00:45, 33.02ex/s]




preprocess datasets #4:  65%|██████▍   | 2443/3785 [01:20<00:47, 28.22ex/s]
preprocess datasets #0:  24%|██▍       | 922/3786 [01:20<03:20, 14.29ex/s]

preprocess datasets #1:  24%|██▎       | 898/3786 [01:20<04:06, 11.70ex/s]



preprocess datasets #3:  62%|██████▏   | 2332/3786 [01:20<00:52, 27.50ex/s]




preprocess datasets #4:  65%|██████▍   | 2446/3785 [01:20<00:47, 28.33ex/s]


preprocess datasets #2:  61%|██████    | 2297/3786 [01:20<00:47, 31.15ex/s]

preprocess datasets #1:  24%|██▍       | 900/3786 [01:20<03:56, 12.21ex/s]




preprocess datasets #4:  65%|██████▍   | 2449/3785 [01:20<00:47, 27.84ex/s]
preprocess datasets #0:  24%|██▍       | 924/3786 [01:20<03:38, 13.12ex/s]



preprocess datasets #3:  62%|██████▏   | 2336/3786 [01:20<00:50, 28.63ex/s]


preprocess datasets #2:  61%|██████    | 2301/3786 [01:20<00:49, 29.85ex/s]




preprocess datasets #4:  65%|██████▍   | 2456/3785 [01:20<00:35, 37.95ex/s]



preprocess datasets #3:  62%|██████▏   | 2340/3786 [01:20<00:48, 29.86ex/s]
preprocess datasets #0:  24%|██▍       | 926/3786 [01:20<03:31, 13.51ex/s]


preprocess datasets #2:  61%|██████    | 2305/3786 [01:20<00:46, 32.17ex/s]




preprocess datasets #4:  65%|██████▍   | 2460/3785 [01:20<00:37, 35.22ex/s]

preprocess datasets #1:  24%|██▍       | 902/3786 [01:20<04:40, 10.29ex/s]



preprocess datasets #3:  62%|██████▏   | 2344/3786 [01:20<00:48, 29.63ex/s]


preprocess datasets #2:  61%|██████    | 2311/3786 [01:20<00:39, 37.35ex/s]
preprocess datasets #0:  25%|██▍       | 928/3786 [01:20<03:28, 13.71ex/s]




preprocess datasets #4:  65%|██████▌   | 2464/3785 [01:20<00:36, 36.43ex/s]
preprocess datasets #0:  25%|██▍       | 930/3786 [01:20<03:11, 14.92ex/s]


preprocess datasets #2:  61%|██████    | 2316/3786 [01:20<00:38, 38.24ex/s]



preprocess datasets #3:  62%|██████▏   | 2348/3786 [01:20<00:54, 26.56ex/s]




preprocess datasets #4:  65%|██████▌   | 2468/3785 [01:21<00:39, 33.49ex/s]


preprocess datasets #2:  61%|██████▏   | 2320/3786 [01:21<00:41, 35.72ex/s]
preprocess datasets #0:  25%|██▍       | 932/3786 [01:21<03:31, 13.47ex/s]



preprocess datasets #3:  62%|██████▏   | 2351/3786 [01:21<00:56, 25.53ex/s]

preprocess datasets #1:  24%|██▍       | 904/3786 [01:21<05:58,  8.03ex/s]




preprocess datasets #4:  65%|██████▌   | 2472/3785 [01:21<00:43, 30.27ex/s]


preprocess datasets #2:  61%|██████▏   | 2324/3786 [01:21<00:44, 32.68ex/s]



preprocess datasets #3:  62%|██████▏   | 2355/3786 [01:21<00:52, 27.52ex/s]
preprocess datasets #0:  25%|██▍       | 934/3786 [01:21<03:28, 13.71ex/s]




preprocess datasets #4:  65%|██████▌   | 2478/3785 [01:21<00:36, 35.62ex/s]

preprocess datasets #1:  24%|██▍       | 905/3786 [01:21<06:11,  7.76ex/s]


preprocess datasets #2:  62%|██████▏   | 2330/3786 [01:21<00:39, 36.65ex/s]



preprocess datasets #3:  62%|██████▏   | 2359/3786 [01:21<00:49, 28.63ex/s]
preprocess datasets #0:  25%|██▍       | 936/3786 [01:21<03:37, 13.12ex/s]




preprocess datasets #4:  66%|██████▌   | 2482/3785 [01:21<00:37, 34.87ex/s]

preprocess datasets #1:  24%|██▍       | 906/3786 [01:21<06:12,  7.73ex/s]


preprocess datasets #2:  62%|██████▏   | 2336/3786 [01:21<00:36, 40.23ex/s]



preprocess datasets #3:  62%|██████▏   | 2362/3786 [01:21<00:53, 26.65ex/s]




preprocess datasets #4:  66%|██████▌   | 2486/3785 [01:21<00:36, 35.71ex/s]


preprocess datasets #2:  62%|██████▏   | 2341/3786 [01:21<00:34, 41.56ex/s]

preprocess datasets #1:  24%|██▍       | 908/3786 [01:21<05:17,  9.08ex/s]



preprocess datasets #3:  62%|██████▏   | 2366/3786 [01:21<00:52, 27.03ex/s]
preprocess datasets #0:  25%|██▍       | 938/3786 [01:21<04:21, 10.87ex/s]




preprocess datasets #4:  66%|██████▌   | 2490/3785 [01:21<00:39, 32.49ex/s]


preprocess datasets #2:  62%|██████▏   | 2346/3786 [01:21<00:38, 37.11ex/s]



preprocess datasets #3:  63%|██████▎   | 2369/3786 [01:21<00:53, 26.62ex/s]

preprocess datasets #1:  24%|██▍       | 910/3786 [01:21<04:59,  9.61ex/s]




preprocess datasets #4:  66%|██████▌   | 2494/3785 [01:21<00:38, 33.35ex/s]
preprocess datasets #0:  25%|██▍       | 940/3786 [01:21<04:08, 11.45ex/s]



preprocess datasets #3:  63%|██████▎   | 2374/3786 [01:21<00:43, 32.34ex/s]




preprocess datasets #4:  66%|██████▌   | 2499/3785 [01:21<00:35, 35.88ex/s]
preprocess datasets #0:  25%|██▍       | 942/3786 [01:21<03:43, 12.73ex/s]


preprocess datasets #2:  62%|██████▏   | 2350/3786 [01:21<00:48, 29.66ex/s]

preprocess datasets #1:  24%|██▍       | 912/3786 [01:22<05:00,  9.55ex/s]



preprocess datasets #3:  63%|██████▎   | 2378/3786 [01:21<00:45, 31.17ex/s]




preprocess datasets #4:  66%|██████▌   | 2503/3785 [01:21<00:34, 36.72ex/s]
preprocess datasets #0:  25%|██▍       | 944/3786 [01:22<03:46, 12.56ex/s]



preprocess datasets #3:  63%|██████▎   | 2382/3786 [01:22<00:44, 31.90ex/s]


preprocess datasets #2:  62%|██████▏   | 2354/3786 [01:22<00:51, 27.67ex/s]

preprocess datasets #1:  24%|██▍       | 913/3786 [01:22<05:29,  8.71ex/s]




preprocess datasets #4:  66%|██████▌   | 2507/3785 [01:22<00:39, 32.20ex/s]
preprocess datasets #0:  25%|██▍       | 946/3786 [01:22<03:39, 12.96ex/s]


preprocess datasets #2:  62%|██████▏   | 2358/3786 [01:22<00:50, 28.49ex/s]



preprocess datasets #3:  63%|██████▎   | 2386/3786 [01:22<00:45, 30.70ex/s]




preprocess datasets #4:  66%|██████▋   | 2511/3785 [01:22<00:41, 30.95ex/s]


preprocess datasets #2:  62%|██████▏   | 2363/3786 [01:22<00:44, 32.00ex/s]

preprocess datasets #1:  24%|██▍       | 915/3786 [01:22<05:36,  8.52ex/s]



preprocess datasets #3:  63%|██████▎   | 2391/3786 [01:22<00:44, 31.03ex/s]
preprocess datasets #0:  25%|██▌       | 948/3786 [01:22<03:48, 12.44ex/s]




preprocess datasets #4:  66%|██████▋   | 2516/3785 [01:22<00:36, 34.80ex/s]


preprocess datasets #2:  63%|██████▎   | 2369/3786 [01:22<00:37, 37.85ex/s]

preprocess datasets #1:  24%|██▍       | 916/3786 [01:22<05:28,  8.74ex/s]
preprocess datasets #0:  25%|██▌       | 950/3786 [01:22<03:38, 13.00ex/s]



preprocess datasets #3:  63%|██████▎   | 2395/3786 [01:22<00:46, 29.68ex/s]


preprocess datasets #2:  63%|██████▎   | 2374/3786 [01:22<00:35, 39.62ex/s]




preprocess datasets #4:  67%|██████▋   | 2520/3785 [01:22<00:45, 27.70ex/s]

preprocess datasets #1:  24%|██▍       | 918/3786 [01:22<04:58,  9.60ex/s]



preprocess datasets #3:  63%|██████▎   | 2399/3786 [01:22<00:44, 30.88ex/s]


preprocess datasets #2:  63%|██████▎   | 2379/3786 [01:22<00:34, 40.46ex/s]
preprocess datasets #0:  25%|██▌       | 952/3786 [01:22<03:47, 12.47ex/s]

preprocess datasets #1:  24%|██▍       | 919/3786 [01:22<05:06,  9.35ex/s]



preprocess datasets #3:  63%|██████▎   | 2404/3786 [01:22<00:39, 34.75ex/s]


preprocess datasets #2:  63%|██████▎   | 2384/3786 [01:22<00:34, 40.84ex/s]




preprocess datasets #4:  67%|██████▋   | 2524/3785 [01:22<00:51, 24.65ex/s]
preprocess datasets #0:  25%|██▌       | 954/3786 [01:22<03:49, 12.32ex/s]

preprocess datasets #1:  24%|██▍       | 920/3786 [01:22<05:29,  8.69ex/s]




preprocess datasets #4:  67%|██████▋   | 2527/3785 [01:22<00:49, 25.60ex/s]


preprocess datasets #2:  63%|██████▎   | 2389/3786 [01:22<00:35, 39.53ex/s]



preprocess datasets #3:  64%|██████▎   | 2408/3786 [01:22<00:45, 30.36ex/s]
preprocess datasets #0:  25%|██▌       | 956/3786 [01:23<03:38, 12.94ex/s]




preprocess datasets #4:  67%|██████▋   | 2530/3785 [01:23<00:47, 26.53ex/s]

preprocess datasets #1:  24%|██▍       | 922/3786 [01:23<04:44, 10.06ex/s]



preprocess datasets #3:  64%|██████▎   | 2413/3786 [01:23<00:41, 33.47ex/s]


preprocess datasets #2:  63%|██████▎   | 2395/3786 [01:23<00:34, 40.21ex/s]




preprocess datasets #4:  67%|██████▋   | 2533/3785 [01:23<00:48, 26.03ex/s]
preprocess datasets #0:  25%|██▌       | 958/3786 [01:23<03:41, 12.76ex/s]


preprocess datasets #2:  63%|██████▎   | 2400/3786 [01:23<00:33, 40.86ex/s]



preprocess datasets #3:  64%|██████▍   | 2417/3786 [01:23<00:43, 31.27ex/s]

preprocess datasets #1:  24%|██▍       | 924/3786 [01:23<04:47,  9.94ex/s]




preprocess datasets #4:  67%|██████▋   | 2537/3785 [01:23<00:46, 26.92ex/s]



preprocess datasets #3:  64%|██████▍   | 2421/3786 [01:23<00:41, 32.78ex/s]
preprocess datasets #0:  25%|██▌       | 961/3786 [01:23<03:21, 14.02ex/s]


preprocess datasets #2:  64%|██████▎   | 2405/3786 [01:23<00:39, 35.40ex/s]




preprocess datasets #4:  67%|██████▋   | 2540/3785 [01:23<00:47, 26.26ex/s]
preprocess datasets #0:  25%|██▌       | 963/3786 [01:23<03:11, 14.74ex/s]



preprocess datasets #3:  64%|██████▍   | 2425/3786 [01:23<00:45, 29.84ex/s]

preprocess datasets #1:  24%|██▍       | 926/3786 [01:23<04:58,  9.59ex/s]


preprocess datasets #2:  64%|██████▎   | 2409/3786 [01:23<00:39, 35.16ex/s]




preprocess datasets #4:  67%|██████▋   | 2543/3785 [01:23<00:48, 25.42ex/s]
preprocess datasets #0:  25%|██▌       | 965/3786 [01:23<03:21, 13.97ex/s]




preprocess datasets #4:  67%|██████▋   | 2546/3785 [01:23<00:47, 25.97ex/s]


preprocess datasets #2:  64%|██████▎   | 2413/3786 [01:23<00:42, 32.33ex/s]

preprocess datasets #1:  25%|██▍       | 928/3786 [01:23<04:42, 10.12ex/s]



preprocess datasets #3:  64%|██████▍   | 2429/3786 [01:23<00:51, 26.17ex/s]
preprocess datasets #0:  26%|██▌       | 967/3786 [01:23<03:15, 14.39ex/s]




preprocess datasets #4:  67%|██████▋   | 2549/3785 [01:23<00:52, 23.77ex/s]



preprocess datasets #3:  64%|██████▍   | 2432/3786 [01:23<00:53, 25.32ex/s]


preprocess datasets #2:  64%|██████▍   | 2417/3786 [01:23<00:47, 28.87ex/s]

preprocess datasets #1:  25%|██▍       | 930/3786 [01:23<04:40, 10.19ex/s]
preprocess datasets #0:  26%|██▌       | 969/3786 [01:23<03:22, 13.90ex/s]



preprocess datasets #3:  64%|██████▍   | 2437/3786 [01:23<00:44, 30.27ex/s]




preprocess datasets #4:  67%|██████▋   | 2552/3785 [01:23<00:58, 21.10ex/s]
preprocess datasets #0:  26%|██▌       | 971/3786 [01:24<03:04, 15.22ex/s]

preprocess datasets #1:  25%|██▍       | 932/3786 [01:24<04:26, 10.70ex/s]


preprocess datasets #2:  64%|██████▍   | 2421/3786 [01:24<00:52, 25.91ex/s]



preprocess datasets #3:  65%|██████▍   | 2442/3786 [01:24<00:40, 33.05ex/s]



preprocess datasets #3:  65%|██████▍   | 2446/3786 [01:24<00:38, 34.40ex/s]
preprocess datasets #0:  26%|██▌       | 973/3786 [01:24<03:08, 14.91ex/s]




preprocess datasets #4:  68%|██████▊   | 2555/3785 [01:24<01:04, 19.07ex/s]


preprocess datasets #2:  64%|██████▍   | 2424/3786 [01:24<00:56, 24.26ex/s]

preprocess datasets #1:  25%|██▍       | 934/3786 [01:24<04:22, 10.88ex/s]



preprocess datasets #3:  65%|██████▍   | 2450/3786 [01:24<00:38, 34.34ex/s]




preprocess datasets #4:  68%|██████▊   | 2558/3785 [01:24<00:57, 21.31ex/s]


preprocess datasets #2:  64%|██████▍   | 2427/3786 [01:24<00:57, 23.75ex/s]
preprocess datasets #0:  26%|██▌       | 975/3786 [01:24<03:17, 14.25ex/s]

preprocess datasets #1:  25%|██▍       | 936/3786 [01:24<04:07, 11.52ex/s]



preprocess datasets #3:  65%|██████▍   | 2455/3786 [01:24<00:36, 36.71ex/s]




preprocess datasets #4:  68%|██████▊   | 2562/3785 [01:24<00:49, 24.80ex/s]


preprocess datasets #2:  64%|██████▍   | 2431/3786 [01:24<00:54, 24.96ex/s]
preprocess datasets #0:  26%|██▌       | 977/3786 [01:24<03:21, 13.91ex/s]



preprocess datasets #3:  65%|██████▍   | 2460/3786 [01:24<00:33, 39.99ex/s]




preprocess datasets #4:  68%|██████▊   | 2567/3785 [01:24<00:39, 30.80ex/s]

preprocess datasets #1:  25%|██▍       | 938/3786 [01:24<04:14, 11.21ex/s]


preprocess datasets #2:  64%|██████▍   | 2435/3786 [01:24<00:50, 26.51ex/s]
preprocess datasets #0:  26%|██▌       | 979/3786 [01:24<03:13, 14.53ex/s]



preprocess datasets #3:  65%|██████▌   | 2466/3786 [01:24<00:29, 44.32ex/s]




preprocess datasets #4:  68%|██████▊   | 2571/3785 [01:24<00:39, 30.56ex/s]



preprocess datasets #3:  65%|██████▌   | 2472/3786 [01:24<00:28, 45.79ex/s]


preprocess datasets #2:  64%|██████▍   | 2438/3786 [01:24<00:54, 24.87ex/s]

preprocess datasets #1:  25%|██▍       | 940/3786 [01:24<04:24, 10.77ex/s]
preprocess datasets #0:  26%|██▌       | 981/3786 [01:24<03:26, 13.62ex/s]




preprocess datasets #4:  68%|██████▊   | 2575/3785 [01:24<00:44, 27.28ex/s]



preprocess datasets #3:  65%|██████▌   | 2478/3786 [01:24<00:27, 47.03ex/s]


preprocess datasets #2:  64%|██████▍   | 2441/3786 [01:24<00:55, 24.35ex/s]




preprocess datasets #4:  68%|██████▊   | 2580/3785 [01:24<00:37, 32.43ex/s]
preprocess datasets #0:  26%|██▌       | 983/3786 [01:24<03:28, 13.45ex/s]

preprocess datasets #1:  25%|██▍       | 942/3786 [01:24<04:25, 10.70ex/s]


preprocess datasets #2:  65%|██████▍   | 2445/3786 [01:25<00:49, 26.88ex/s]



preprocess datasets #3:  66%|██████▌   | 2483/3786 [01:24<00:30, 42.76ex/s]
preprocess datasets #0:  26%|██▌       | 985/3786 [01:25<03:15, 14.34ex/s]

preprocess datasets #1:  25%|██▍       | 944/3786 [01:25<04:02, 11.71ex/s]


preprocess datasets #2:  65%|██████▍   | 2448/3786 [01:25<00:49, 27.29ex/s]




preprocess datasets #4:  68%|██████▊   | 2584/3785 [01:25<00:42, 27.98ex/s]



preprocess datasets #3:  66%|██████▌   | 2488/3786 [01:25<00:34, 37.91ex/s]


preprocess datasets #2:  65%|██████▍   | 2451/3786 [01:25<00:48, 27.54ex/s]
preprocess datasets #0:  26%|██▌       | 987/3786 [01:25<03:29, 13.34ex/s]



preprocess datasets #3:  66%|██████▌   | 2492/3786 [01:25<00:34, 37.83ex/s]




preprocess datasets #4:  68%|██████▊   | 2588/3785 [01:25<00:45, 26.30ex/s]


preprocess datasets #2:  65%|██████▍   | 2454/3786 [01:25<00:47, 27.82ex/s]
preprocess datasets #0:  26%|██▌       | 989/3786 [01:25<03:22, 13.82ex/s]

preprocess datasets #1:  25%|██▍       | 946/3786 [01:25<04:49,  9.82ex/s]




preprocess datasets #4:  68%|██████▊   | 2591/3785 [01:25<00:48, 24.84ex/s]


preprocess datasets #2:  65%|██████▍   | 2459/3786 [01:25<00:42, 31.27ex/s]



preprocess datasets #3:  66%|██████▌   | 2496/3786 [01:25<00:39, 32.43ex/s]

preprocess datasets #1:  25%|██▌       | 948/3786 [01:25<04:06, 11.52ex/s]
preprocess datasets #0:  26%|██▌       | 992/3786 [01:25<03:08, 14.85ex/s]


preprocess datasets #2:  65%|██████▌   | 2463/3786 [01:25<00:42, 31.21ex/s]




preprocess datasets #4:  69%|██████▊   | 2594/3785 [01:25<00:50, 23.77ex/s]



preprocess datasets #3:  66%|██████▌   | 2500/3786 [01:25<00:40, 31.58ex/s]

preprocess datasets #1:  25%|██▌       | 950/3786 [01:25<04:03, 11.65ex/s]
preprocess datasets #0:  26%|██▋       | 994/3786 [01:25<03:09, 14.71ex/s]




preprocess datasets #4:  69%|██████▊   | 2598/3785 [01:25<00:43, 27.19ex/s]



preprocess datasets #3:  66%|██████▌   | 2504/3786 [01:25<00:41, 30.58ex/s]


preprocess datasets #2:  65%|██████▌   | 2467/3786 [01:25<00:46, 28.28ex/s]

preprocess datasets #1:  25%|██▌       | 952/3786 [01:25<03:46, 12.49ex/s]




preprocess datasets #4:  69%|██████▊   | 2601/3785 [01:25<00:45, 26.24ex/s]
preprocess datasets #0:  26%|██▋       | 996/3786 [01:25<03:17, 14.11ex/s]



preprocess datasets #3:  66%|██████▌   | 2508/3786 [01:25<00:41, 30.89ex/s]


preprocess datasets #2:  65%|██████▌   | 2470/3786 [01:25<00:49, 26.67ex/s]

preprocess datasets #1:  25%|██▌       | 954/3786 [01:25<03:26, 13.73ex/s]




preprocess datasets #4:  69%|██████▉   | 2606/3785 [01:25<00:38, 30.35ex/s]
preprocess datasets #0:  26%|██▋       | 998/3786 [01:25<03:07, 14.87ex/s]

preprocess datasets #1:  25%|██▌       | 956/3786 [01:26<03:19, 14.18ex/s]



preprocess datasets #3:  66%|██████▋   | 2512/3786 [01:25<00:43, 29.14ex/s]


preprocess datasets #2:  65%|██████▌   | 2473/3786 [01:26<00:53, 24.39ex/s]




preprocess datasets #4:  69%|██████▉   | 2610/3785 [01:26<00:42, 27.67ex/s]



preprocess datasets #3:  66%|██████▋   | 2515/3786 [01:26<00:46, 27.58ex/s]


preprocess datasets #2:  65%|██████▌   | 2476/3786 [01:26<00:52, 24.72ex/s]

preprocess datasets #1:  25%|██▌       | 958/3786 [01:26<03:26, 13.70ex/s]




preprocess datasets #4:  69%|██████▉   | 2613/3785 [01:26<00:45, 25.53ex/s]



preprocess datasets #3:  67%|██████▋   | 2518/3786 [01:26<00:47, 26.80ex/s]


preprocess datasets #2:  66%|██████▌   | 2480/3786 [01:26<00:50, 25.72ex/s]

preprocess datasets #1:  25%|██▌       | 960/3786 [01:26<03:25, 13.76ex/s]



preprocess datasets #3:  67%|██████▋   | 2521/3786 [01:26<00:46, 27.08ex/s]


preprocess datasets #2:  66%|██████▌   | 2483/3786 [01:26<00:50, 25.60ex/s]




preprocess datasets #4:  69%|██████▉   | 2616/3785 [01:26<00:50, 23.35ex/s]



preprocess datasets #3:  67%|██████▋   | 2525/3786 [01:26<00:43, 28.88ex/s]

preprocess datasets #1:  25%|██▌       | 962/3786 [01:26<03:38, 12.93ex/s]


preprocess datasets #2:  66%|██████▌   | 2487/3786 [01:26<00:46, 27.94ex/s]




preprocess datasets #4:  69%|██████▉   | 2619/3785 [01:26<00:52, 22.37ex/s]



preprocess datasets #3:  67%|██████▋   | 2529/3786 [01:26<00:43, 28.96ex/s]


preprocess datasets #2:  66%|██████▌   | 2491/3786 [01:26<00:46, 28.03ex/s]




preprocess datasets #4:  69%|██████▉   | 2624/3785 [01:26<00:41, 27.83ex/s]

preprocess datasets #1:  25%|██▌       | 964/3786 [01:26<04:00, 11.74ex/s]



preprocess datasets #3:  67%|██████▋   | 2532/3786 [01:26<00:48, 25.88ex/s]


preprocess datasets #2:  66%|██████▌   | 2496/3786 [01:26<00:41, 31.10ex/s]




preprocess datasets #4:  69%|██████▉   | 2629/3785 [01:26<00:37, 30.51ex/s]

preprocess datasets #1:  26%|██▌       | 966/3786 [01:26<03:49, 12.31ex/s]



preprocess datasets #3:  67%|██████▋   | 2537/3786 [01:26<00:40, 31.01ex/s]

preprocess datasets #1:  26%|██▌       | 968/3786 [01:26<03:25, 13.72ex/s]




preprocess datasets #4:  70%|██████▉   | 2633/3785 [01:26<00:39, 29.08ex/s]


preprocess datasets #2:  66%|██████▌   | 2500/3786 [01:26<00:45, 28.50ex/s]



preprocess datasets #3:  67%|██████▋   | 2541/3786 [01:27<00:40, 30.75ex/s]

preprocess datasets #1:  26%|██▌       | 970/3786 [01:27<03:16, 14.34ex/s]


preprocess datasets #2:  66%|██████▌   | 2503/3786 [01:27<00:45, 28.23ex/s]




preprocess datasets #4:  70%|██████▉   | 2637/3785 [01:27<00:38, 29.61ex/s]

preprocess datasets #1:  26%|██▌       | 972/3786 [01:27<03:03, 15.37ex/s]



preprocess datasets #3:  67%|██████▋   | 2545/3786 [01:27<00:43, 28.55ex/s]


preprocess datasets #2:  66%|██████▌   | 2506/3786 [01:27<00:50, 25.48ex/s]




preprocess datasets #4:  70%|██████▉   | 2641/3785 [01:27<00:40, 28.44ex/s]



preprocess datasets #3:  67%|██████▋   | 2548/3786 [01:27<00:43, 28.34ex/s]

preprocess datasets #1:  26%|██▌       | 974/3786 [01:27<03:10, 14.79ex/s]


preprocess datasets #2:  66%|██████▋   | 2510/3786 [01:27<00:45, 27.95ex/s]




preprocess datasets #4:  70%|██████▉   | 2644/3785 [01:27<00:40, 28.48ex/s]



preprocess datasets #3:  67%|██████▋   | 2551/3786 [01:27<00:49, 24.77ex/s]




preprocess datasets #4:  70%|██████▉   | 2648/3785 [01:27<00:37, 30.49ex/s]


preprocess datasets #2:  66%|██████▋   | 2513/3786 [01:27<00:47, 26.80ex/s]

preprocess datasets #1:  26%|██▌       | 976/3786 [01:27<03:33, 13.14ex/s]
preprocess datasets #0:  26%|██▋       | 1000/3786 [01:27<12:54,  3.60ex/s]


preprocess datasets #2:  66%|██████▋   | 2517/3786 [01:27<00:43, 29.07ex/s]



preprocess datasets #3:  67%|██████▋   | 2555/3786 [01:27<00:47, 25.65ex/s]




preprocess datasets #4:  70%|███████   | 2652/3785 [01:27<00:38, 29.75ex/s]

preprocess datasets #1:  26%|██▌       | 979/3786 [01:27<02:48, 16.62ex/s]


preprocess datasets #2:  67%|██████▋   | 2522/3786 [01:27<00:37, 33.52ex/s]




preprocess datasets #4:  70%|███████   | 2656/3785 [01:27<00:35, 32.06ex/s]
preprocess datasets #0:  26%|██▋       | 1002/3786 [01:27<10:19,  4.49ex/s]



preprocess datasets #3:  68%|██████▊   | 2560/3786 [01:27<00:43, 27.88ex/s]


preprocess datasets #2:  67%|██████▋   | 2527/3786 [01:27<00:35, 35.22ex/s]
preprocess datasets #0:  27%|██▋       | 1004/3786 [01:27<08:02,  5.76ex/s]




preprocess datasets #4:  70%|███████   | 2660/3785 [01:27<00:35, 31.29ex/s]

preprocess datasets #1:  26%|██▌       | 981/3786 [01:27<03:32, 13.21ex/s]



preprocess datasets #3:  68%|██████▊   | 2564/3786 [01:27<00:41, 29.71ex/s]


preprocess datasets #2:  67%|██████▋   | 2531/3786 [01:27<00:37, 33.61ex/s]




preprocess datasets #4:  70%|███████   | 2664/3785 [01:27<00:35, 31.57ex/s]
preprocess datasets #0:  27%|██▋       | 1006/3786 [01:28<06:42,  6.90ex/s]



preprocess datasets #3:  68%|██████▊   | 2568/3786 [01:27<00:41, 29.55ex/s]

preprocess datasets #1:  26%|██▌       | 983/3786 [01:28<03:32, 13.17ex/s]


preprocess datasets #2:  67%|██████▋   | 2535/3786 [01:28<00:38, 32.48ex/s]




preprocess datasets #4:  71%|███████   | 2669/3785 [01:28<00:33, 33.58ex/s]
preprocess datasets #0:  27%|██▋       | 1008/3786 [01:28<05:50,  7.93ex/s]



preprocess datasets #3:  68%|██████▊   | 2571/3786 [01:28<00:47, 25.63ex/s]




preprocess datasets #4:  71%|███████   | 2673/3785 [01:28<00:34, 32.67ex/s]


preprocess datasets #2:  67%|██████▋   | 2539/3786 [01:28<00:41, 30.41ex/s]

preprocess datasets #1:  26%|██▌       | 985/3786 [01:28<04:06, 11.35ex/s]
preprocess datasets #0:  27%|██▋       | 1010/3786 [01:28<04:59,  9.27ex/s]



preprocess datasets #3:  68%|██████▊   | 2574/3786 [01:28<00:47, 25.68ex/s]



preprocess datasets #3:  68%|██████▊   | 2579/3786 [01:28<00:39, 30.43ex/s]


preprocess datasets #2:  67%|██████▋   | 2543/3786 [01:28<00:43, 28.47ex/s]

preprocess datasets #1:  26%|██▌       | 987/3786 [01:28<04:07, 11.32ex/s]
preprocess datasets #0:  27%|██▋       | 1012/3786 [01:28<04:32, 10.17ex/s]




preprocess datasets #4:  71%|███████   | 2677/3785 [01:28<00:40, 27.40ex/s]


preprocess datasets #2:  67%|██████▋   | 2546/3786 [01:28<00:43, 28.44ex/s]



preprocess datasets #3:  68%|██████▊   | 2583/3786 [01:28<00:37, 32.04ex/s]




preprocess datasets #4:  71%|███████   | 2680/3785 [01:28<00:39, 27.88ex/s]
preprocess datasets #0:  27%|██▋       | 1014/3786 [01:28<04:08, 11.15ex/s]


preprocess datasets #2:  67%|██████▋   | 2550/3786 [01:28<00:42, 29.23ex/s]




preprocess datasets #4:  71%|███████   | 2684/3785 [01:28<00:37, 29.61ex/s]



preprocess datasets #3:  68%|██████▊   | 2587/3786 [01:28<00:39, 30.58ex/s]

preprocess datasets #1:  26%|██▌       | 989/3786 [01:28<04:34, 10.19ex/s]
preprocess datasets #0:  27%|██▋       | 1016/3786 [01:28<04:06, 11.25ex/s]


preprocess datasets #2:  67%|██████▋   | 2553/3786 [01:28<00:45, 27.37ex/s]




preprocess datasets #4:  71%|███████   | 2689/3785 [01:28<00:33, 32.54ex/s]



preprocess datasets #3:  68%|██████▊   | 2591/3786 [01:28<00:39, 29.98ex/s]
preprocess datasets #0:  27%|██▋       | 1018/3786 [01:28<03:43, 12.36ex/s]

preprocess datasets #1:  26%|██▌       | 991/3786 [01:28<04:46,  9.75ex/s]



preprocess datasets #3:  69%|██████▊   | 2596/3786 [01:28<00:34, 34.18ex/s]


preprocess datasets #2:  68%|██████▊   | 2556/3786 [01:28<00:50, 24.44ex/s]




preprocess datasets #4:  71%|███████   | 2693/3785 [01:28<00:36, 29.79ex/s]
preprocess datasets #0:  27%|██▋       | 1020/3786 [01:29<03:36, 12.76ex/s]



preprocess datasets #3:  69%|██████▊   | 2600/3786 [01:29<00:34, 34.60ex/s]


preprocess datasets #2:  68%|██████▊   | 2559/3786 [01:29<00:51, 23.97ex/s]




preprocess datasets #4:  71%|███████▏  | 2697/3785 [01:29<00:37, 29.02ex/s]

preprocess datasets #1:  26%|██▌       | 993/3786 [01:29<04:45,  9.78ex/s]



preprocess datasets #3:  69%|██████▉   | 2605/3786 [01:29<00:31, 37.87ex/s]
preprocess datasets #0:  27%|██▋       | 1022/3786 [01:29<03:31, 13.09ex/s]


preprocess datasets #2:  68%|██████▊   | 2564/3786 [01:29<00:42, 28.42ex/s]

preprocess datasets #1:  26%|██▋       | 995/3786 [01:29<04:11, 11.10ex/s]




preprocess datasets #4:  71%|███████▏  | 2700/3785 [01:29<00:41, 26.23ex/s]



preprocess datasets #3:  69%|██████▉   | 2610/3786 [01:29<00:29, 39.35ex/s]


preprocess datasets #2:  68%|██████▊   | 2568/3786 [01:29<00:42, 28.63ex/s]



preprocess datasets #3:  69%|██████▉   | 2614/3786 [01:29<00:29, 39.31ex/s]
preprocess datasets #0:  27%|██▋       | 1024/3786 [01:29<03:44, 12.29ex/s]




preprocess datasets #4:  71%|███████▏  | 2704/3785 [01:29<00:38, 28.10ex/s]

preprocess datasets #1:  26%|██▋       | 997/3786 [01:29<04:20, 10.70ex/s]


preprocess datasets #2:  68%|██████▊   | 2572/3786 [01:29<00:42, 28.64ex/s]




preprocess datasets #4:  72%|███████▏  | 2708/3785 [01:29<00:35, 30.28ex/s]



preprocess datasets #3:  69%|██████▉   | 2619/3786 [01:29<00:30, 38.48ex/s]
preprocess datasets #0:  27%|██▋       | 1026/3786 [01:29<03:42, 12.40ex/s]

preprocess datasets #1:  26%|██▋       | 999/3786 [01:29<03:54, 11.91ex/s]




preprocess datasets #4:  72%|███████▏  | 2712/3785 [01:29<00:34, 30.75ex/s]



preprocess datasets #3:  69%|██████▉   | 2623/3786 [01:29<00:34, 33.98ex/s]


preprocess datasets #2:  68%|██████▊   | 2575/3786 [01:29<00:49, 24.36ex/s]




preprocess datasets #4:  72%|███████▏  | 2717/3785 [01:29<00:30, 34.56ex/s]
preprocess datasets #0:  27%|██▋       | 1028/3786 [01:29<04:05, 11.22ex/s]



preprocess datasets #3:  69%|██████▉   | 2629/3786 [01:29<00:30, 37.66ex/s]


preprocess datasets #2:  68%|██████▊   | 2579/3786 [01:29<00:46, 26.08ex/s]




preprocess datasets #4:  72%|███████▏  | 2721/3785 [01:29<00:31, 33.81ex/s]


preprocess datasets #2:  68%|██████▊   | 2582/3786 [01:29<00:47, 25.34ex/s]



preprocess datasets #3:  70%|██████▉   | 2633/3786 [01:29<00:37, 31.09ex/s]




preprocess datasets #4:  72%|███████▏  | 2725/3785 [01:29<00:33, 31.67ex/s]
preprocess datasets #0:  27%|██▋       | 1030/3786 [01:30<04:42,  9.74ex/s]


preprocess datasets #2:  68%|██████▊   | 2585/3786 [01:30<00:46, 25.68ex/s]



preprocess datasets #3:  70%|██████▉   | 2637/3786 [01:30<00:41, 27.87ex/s]


preprocess datasets #2:  68%|██████▊   | 2588/3786 [01:30<00:47, 25.05ex/s]




preprocess datasets #4:  72%|███████▏  | 2729/3785 [01:30<00:39, 26.49ex/s]
preprocess datasets #0:  27%|██▋       | 1032/3786 [01:30<04:47,  9.58ex/s]


preprocess datasets #2:  68%|██████▊   | 2592/3786 [01:30<00:45, 26.29ex/s]



preprocess datasets #3:  70%|██████▉   | 2640/3786 [01:30<00:44, 25.84ex/s]




preprocess datasets #4:  72%|███████▏  | 2732/3785 [01:30<00:42, 25.05ex/s]



preprocess datasets #3:  70%|██████▉   | 2643/3786 [01:30<00:43, 26.15ex/s]
preprocess datasets #0:  27%|██▋       | 1034/3786 [01:30<04:44,  9.67ex/s]




preprocess datasets #4:  72%|███████▏  | 2735/3785 [01:30<00:40, 26.04ex/s]


preprocess datasets #2:  69%|██████▊   | 2595/3786 [01:30<00:50, 23.59ex/s]

preprocess datasets #1:  26%|██▋       | 1001/3786 [01:30<08:58,  5.17ex/s]



preprocess datasets #3:  70%|██████▉   | 2647/3786 [01:30<00:42, 26.61ex/s]




preprocess datasets #4:  72%|███████▏  | 2741/3785 [01:30<00:32, 32.03ex/s]


preprocess datasets #2:  69%|██████▊   | 2598/3786 [01:30<00:50, 23.50ex/s]
preprocess datasets #0:  27%|██▋       | 1036/3786 [01:30<04:27, 10.27ex/s]

preprocess datasets #1:  26%|██▋       | 1003/3786 [01:30<07:16,  6.38ex/s]



preprocess datasets #3:  70%|██████▉   | 2650/3786 [01:30<00:44, 25.52ex/s]


preprocess datasets #2:  69%|██████▊   | 2601/3786 [01:30<00:49, 23.83ex/s]




preprocess datasets #4:  73%|███████▎  | 2745/3785 [01:30<00:33, 30.76ex/s]
preprocess datasets #0:  27%|██▋       | 1038/3786 [01:30<04:29, 10.18ex/s]



preprocess datasets #3:  70%|███████   | 2653/3786 [01:30<00:43, 26.01ex/s]


preprocess datasets #2:  69%|██████▉   | 2605/3786 [01:30<00:44, 26.73ex/s]

preprocess datasets #1:  27%|██▋       | 1005/3786 [01:30<06:35,  7.03ex/s]



preprocess datasets #3:  70%|███████   | 2657/3786 [01:30<00:40, 28.21ex/s]




preprocess datasets #4:  73%|███████▎  | 2749/3785 [01:30<00:39, 26.32ex/s]


preprocess datasets #2:  69%|██████▉   | 2608/3786 [01:30<00:45, 26.10ex/s]
preprocess datasets #0:  27%|██▋       | 1040/3786 [01:30<04:22, 10.47ex/s]

preprocess datasets #1:  27%|██▋       | 1007/3786 [01:30<05:49,  7.94ex/s]



preprocess datasets #3:  70%|███████   | 2661/3786 [01:30<00:36, 30.57ex/s]


preprocess datasets #2:  69%|██████▉   | 2612/3786 [01:31<00:40, 28.99ex/s]




preprocess datasets #4:  73%|███████▎  | 2752/3785 [01:31<00:42, 24.46ex/s]



preprocess datasets #3:  70%|███████   | 2665/3786 [01:31<00:36, 31.03ex/s]


preprocess datasets #2:  69%|██████▉   | 2617/3786 [01:31<00:34, 33.92ex/s]
preprocess datasets #0:  28%|██▊       | 1042/3786 [01:31<04:30, 10.14ex/s]




preprocess datasets #4:  73%|███████▎  | 2755/3785 [01:31<00:43, 23.66ex/s]

preprocess datasets #1:  27%|██▋       | 1009/3786 [01:31<05:49,  7.95ex/s]


preprocess datasets #2:  69%|██████▉   | 2622/3786 [01:31<00:30, 37.99ex/s]



preprocess datasets #3:  70%|███████   | 2669/3786 [01:31<00:38, 29.22ex/s]




preprocess datasets #4:  73%|███████▎  | 2758/3785 [01:31<00:41, 25.03ex/s]


preprocess datasets #2:  69%|██████▉   | 2626/3786 [01:31<00:30, 37.42ex/s]
preprocess datasets #0:  28%|██▊       | 1044/3786 [01:31<04:29, 10.18ex/s]



preprocess datasets #3:  71%|███████   | 2673/3786 [01:31<00:35, 31.69ex/s]

preprocess datasets #1:  27%|██▋       | 1011/3786 [01:31<05:08,  9.01ex/s]




preprocess datasets #4:  73%|███████▎  | 2763/3785 [01:31<00:34, 29.83ex/s]


preprocess datasets #2:  70%|██████▉   | 2632/3786 [01:31<00:27, 41.62ex/s]



preprocess datasets #3:  71%|███████   | 2678/3786 [01:31<00:32, 34.14ex/s]

preprocess datasets #1:  27%|██▋       | 1013/3786 [01:31<04:35, 10.08ex/s]
preprocess datasets #0:  28%|██▊       | 1046/3786 [01:31<04:41,  9.74ex/s]


preprocess datasets #2:  70%|██████▉   | 2637/3786 [01:31<00:27, 41.80ex/s]




preprocess datasets #4:  73%|███████▎  | 2767/3785 [01:31<00:38, 26.70ex/s]



preprocess datasets #3:  71%|███████   | 2684/3786 [01:31<00:28, 39.19ex/s]

preprocess datasets #1:  27%|██▋       | 1015/3786 [01:31<03:56, 11.74ex/s]




preprocess datasets #4:  73%|███████▎  | 2771/3785 [01:31<00:35, 28.43ex/s]


preprocess datasets #2:  70%|██████▉   | 2642/3786 [01:31<00:28, 40.08ex/s]



preprocess datasets #3:  71%|███████   | 2689/3786 [01:31<00:27, 39.73ex/s]

preprocess datasets #1:  27%|██▋       | 1017/3786 [01:31<03:39, 12.61ex/s]
preprocess datasets #0:  28%|██▊       | 1048/3786 [01:31<04:41,  9.73ex/s]




preprocess datasets #4:  73%|███████▎  | 2774/3785 [01:31<00:37, 26.90ex/s]



preprocess datasets #3:  71%|███████   | 2694/3786 [01:31<00:25, 42.25ex/s]


preprocess datasets #2:  70%|██████▉   | 2647/3786 [01:31<00:29, 39.05ex/s]

preprocess datasets #1:  27%|██▋       | 1019/3786 [01:31<03:30, 13.16ex/s]




preprocess datasets #4:  73%|███████▎  | 2777/3785 [01:31<00:36, 27.53ex/s]



preprocess datasets #3:  71%|███████▏  | 2699/3786 [01:31<00:25, 42.92ex/s]
preprocess datasets #0:  28%|██▊       | 1050/3786 [01:31<04:31, 10.10ex/s]


preprocess datasets #2:  70%|███████   | 2651/3786 [01:31<00:29, 38.77ex/s]




preprocess datasets #4:  73%|███████▎  | 2780/3785 [01:32<00:36, 27.23ex/s]



preprocess datasets #3:  71%|███████▏  | 2705/3786 [01:32<00:24, 43.78ex/s]


preprocess datasets #2:  70%|███████   | 2655/3786 [01:32<00:30, 36.54ex/s]

preprocess datasets #1:  27%|██▋       | 1021/3786 [01:32<03:50, 11.98ex/s]




preprocess datasets #4:  74%|███████▎  | 2783/3785 [01:32<00:38, 26.06ex/s]
preprocess datasets #0:  28%|██▊       | 1052/3786 [01:32<04:41,  9.71ex/s]



preprocess datasets #3:  72%|███████▏  | 2710/3786 [01:32<00:24, 43.55ex/s]

preprocess datasets #1:  27%|██▋       | 1023/3786 [01:32<03:43, 12.36ex/s]


preprocess datasets #2:  70%|███████   | 2659/3786 [01:32<00:34, 32.20ex/s]




preprocess datasets #4:  74%|███████▎  | 2787/3785 [01:32<00:34, 29.05ex/s]



preprocess datasets #3:  72%|███████▏  | 2715/3786 [01:32<00:27, 38.60ex/s]
preprocess datasets #0:  28%|██▊       | 1054/3786 [01:32<04:37,  9.86ex/s]

preprocess datasets #1:  27%|██▋       | 1025/3786 [01:32<03:33, 12.90ex/s]




preprocess datasets #4:  74%|███████▍  | 2793/3785 [01:32<00:28, 35.34ex/s]


preprocess datasets #2:  70%|███████   | 2663/3786 [01:32<00:41, 27.20ex/s]



preprocess datasets #3:  72%|███████▏  | 2719/3786 [01:32<00:28, 37.68ex/s]
preprocess datasets #0:  28%|██▊       | 1056/3786 [01:32<04:26, 10.23ex/s]


preprocess datasets #2:  70%|███████   | 2666/3786 [01:32<00:41, 26.86ex/s]




preprocess datasets #4:  74%|███████▍  | 2798/3785 [01:32<00:29, 33.43ex/s]

preprocess datasets #1:  27%|██▋       | 1027/3786 [01:32<04:06, 11.18ex/s]




preprocess datasets #4:  74%|███████▍  | 2802/3785 [01:32<00:28, 34.22ex/s]



preprocess datasets #3:  72%|███████▏  | 2723/3786 [01:32<00:35, 30.21ex/s]


preprocess datasets #2:  70%|███████   | 2669/3786 [01:32<00:42, 26.07ex/s]
preprocess datasets #0:  28%|██▊       | 1058/3786 [01:32<04:28, 10.17ex/s]


preprocess datasets #2:  71%|███████   | 2672/3786 [01:32<00:42, 25.96ex/s]

preprocess datasets #1:  27%|██▋       | 1029/3786 [01:32<04:21, 10.55ex/s]




preprocess datasets #4:  74%|███████▍  | 2806/3785 [01:32<00:31, 30.67ex/s]



preprocess datasets #3:  72%|███████▏  | 2727/3786 [01:32<00:37, 28.44ex/s]


preprocess datasets #2:  71%|███████   | 2676/3786 [01:32<00:38, 29.00ex/s]
preprocess datasets #0:  28%|██▊       | 1060/3786 [01:32<04:24, 10.30ex/s]




preprocess datasets #4:  74%|███████▍  | 2810/3785 [01:32<00:29, 32.52ex/s]



preprocess datasets #3:  72%|███████▏  | 2731/3786 [01:33<00:39, 27.02ex/s]

preprocess datasets #1:  27%|██▋       | 1031/3786 [01:33<04:22, 10.50ex/s]


preprocess datasets #2:  71%|███████   | 2679/3786 [01:33<00:40, 27.32ex/s]




preprocess datasets #4:  74%|███████▍  | 2814/3785 [01:33<00:31, 30.38ex/s]



preprocess datasets #3:  72%|███████▏  | 2736/3786 [01:33<00:33, 31.81ex/s]


preprocess datasets #2:  71%|███████   | 2682/3786 [01:33<00:41, 26.86ex/s]
preprocess datasets #0:  28%|██▊       | 1062/3786 [01:33<04:34,  9.91ex/s]

preprocess datasets #1:  27%|██▋       | 1033/3786 [01:33<04:36,  9.94ex/s]




preprocess datasets #4:  74%|███████▍  | 2818/3785 [01:33<00:33, 28.99ex/s]


preprocess datasets #2:  71%|███████   | 2687/3786 [01:33<00:36, 29.96ex/s]



preprocess datasets #3:  72%|███████▏  | 2740/3786 [01:33<00:38, 27.27ex/s]
preprocess datasets #0:  28%|██▊       | 1064/3786 [01:33<04:23, 10.32ex/s]




preprocess datasets #4:  75%|███████▍  | 2824/3785 [01:33<00:29, 33.10ex/s]


preprocess datasets #2:  71%|███████   | 2691/3786 [01:33<00:36, 30.03ex/s]



preprocess datasets #3:  72%|███████▏  | 2744/3786 [01:33<00:36, 28.17ex/s]

preprocess datasets #1:  27%|██▋       | 1035/3786 [01:33<04:37,  9.92ex/s]




preprocess datasets #4:  75%|███████▍  | 2829/3785 [01:33<00:26, 35.99ex/s]
preprocess datasets #0:  28%|██▊       | 1066/3786 [01:33<04:25, 10.25ex/s]



preprocess datasets #3:  73%|███████▎  | 2748/3786 [01:33<00:37, 27.62ex/s]

preprocess datasets #1:  27%|██▋       | 1037/3786 [01:33<04:31, 10.14ex/s]


preprocess datasets #2:  71%|███████   | 2695/3786 [01:33<00:43, 24.95ex/s]




preprocess datasets #4:  75%|███████▍  | 2833/3785 [01:33<00:29, 32.72ex/s]
preprocess datasets #0:  28%|██▊       | 1068/3786 [01:33<04:07, 10.98ex/s]



preprocess datasets #3:  73%|███████▎  | 2755/3786 [01:33<00:28, 36.33ex/s]




preprocess datasets #4:  75%|███████▍  | 2837/3785 [01:33<00:27, 34.29ex/s]


preprocess datasets #2:  71%|███████▏  | 2698/3786 [01:33<00:43, 25.26ex/s]



preprocess datasets #3:  73%|███████▎  | 2759/3786 [01:33<00:27, 36.84ex/s]

preprocess datasets #1:  27%|██▋       | 1039/3786 [01:33<04:20, 10.53ex/s]




preprocess datasets #4:  75%|███████▌  | 2841/3785 [01:33<00:26, 35.04ex/s]


preprocess datasets #2:  71%|███████▏  | 2701/3786 [01:33<00:44, 24.57ex/s]
preprocess datasets #0:  28%|██▊       | 1070/3786 [01:33<04:24, 10.26ex/s]



preprocess datasets #3:  73%|███████▎  | 2764/3786 [01:33<00:25, 39.84ex/s]

preprocess datasets #1:  27%|██▋       | 1041/3786 [01:33<04:03, 11.28ex/s]




preprocess datasets #4:  75%|███████▌  | 2845/3785 [01:33<00:26, 34.82ex/s]



preprocess datasets #3:  73%|███████▎  | 2770/3786 [01:34<00:22, 44.57ex/s]


preprocess datasets #2:  71%|███████▏  | 2704/3786 [01:34<00:44, 24.39ex/s]



preprocess datasets #3:  73%|███████▎  | 2775/3786 [01:34<00:22, 45.41ex/s]
preprocess datasets #0:  28%|██▊       | 1072/3786 [01:34<04:34,  9.88ex/s]


preprocess datasets #2:  72%|███████▏  | 2707/3786 [01:34<00:43, 24.93ex/s]




preprocess datasets #4:  75%|███████▌  | 2849/3785 [01:34<00:33, 28.31ex/s]



preprocess datasets #3:  73%|███████▎  | 2780/3786 [01:34<00:21, 46.06ex/s]

preprocess datasets #1:  28%|██▊       | 1043/3786 [01:34<04:41,  9.75ex/s]


preprocess datasets #2:  72%|███████▏  | 2710/3786 [01:34<00:43, 24.83ex/s]
preprocess datasets #0:  28%|██▊       | 1074/3786 [01:34<04:27, 10.16ex/s]



preprocess datasets #3:  74%|███████▎  | 2785/3786 [01:34<00:21, 46.11ex/s]




preprocess datasets #4:  75%|███████▌  | 2853/3785 [01:34<00:33, 27.77ex/s]


preprocess datasets #2:  72%|███████▏  | 2713/3786 [01:34<00:43, 24.49ex/s]




preprocess datasets #4:  75%|███████▌  | 2856/3785 [01:34<00:33, 27.77ex/s]



preprocess datasets #3:  74%|███████▎  | 2790/3786 [01:34<00:23, 42.42ex/s]


preprocess datasets #2:  72%|███████▏  | 2717/3786 [01:34<00:38, 27.84ex/s]
preprocess datasets #0:  28%|██▊       | 1076/3786 [01:34<04:23, 10.29ex/s]

preprocess datasets #1:  28%|██▊       | 1045/3786 [01:34<05:27,  8.36ex/s]




preprocess datasets #4:  76%|███████▌  | 2859/3785 [01:34<00:35, 26.02ex/s]



preprocess datasets #3:  74%|███████▍  | 2795/3786 [01:34<00:22, 43.13ex/s]


preprocess datasets #2:  72%|███████▏  | 2721/3786 [01:34<00:35, 30.30ex/s]
preprocess datasets #0:  28%|██▊       | 1078/3786 [01:34<03:49, 11.79ex/s]

preprocess datasets #1:  28%|██▊       | 1047/3786 [01:34<04:56,  9.23ex/s]



preprocess datasets #3:  74%|███████▍  | 2800/3786 [01:34<00:24, 39.73ex/s]


preprocess datasets #2:  72%|███████▏  | 2725/3786 [01:34<00:36, 29.24ex/s]




preprocess datasets #4:  76%|███████▌  | 2862/3785 [01:34<00:39, 23.57ex/s]

preprocess datasets #1:  28%|██▊       | 1049/3786 [01:34<04:31, 10.09ex/s]


preprocess datasets #2:  72%|███████▏  | 2728/3786 [01:34<00:39, 26.99ex/s]




preprocess datasets #4:  76%|███████▌  | 2865/3785 [01:34<00:39, 23.02ex/s]
preprocess datasets #0:  29%|██▊       | 1080/3786 [01:34<04:33,  9.91ex/s]



preprocess datasets #3:  74%|███████▍  | 2805/3786 [01:34<00:27, 36.27ex/s]




preprocess datasets #4:  76%|███████▌  | 2868/3785 [01:35<00:39, 23.05ex/s]


preprocess datasets #2:  72%|███████▏  | 2732/3786 [01:35<00:37, 27.95ex/s]



preprocess datasets #3:  74%|███████▍  | 2809/3786 [01:35<00:28, 33.82ex/s]

preprocess datasets #1:  28%|██▊       | 1051/3786 [01:35<04:42,  9.70ex/s]
preprocess datasets #0:  29%|██▊       | 1082/3786 [01:35<04:41,  9.60ex/s]




preprocess datasets #4:  76%|███████▌  | 2872/3785 [01:35<00:34, 26.29ex/s]


preprocess datasets #2:  72%|███████▏  | 2735/3786 [01:35<00:39, 26.76ex/s]



preprocess datasets #3:  74%|███████▍  | 2813/3786 [01:35<00:33, 29.20ex/s]




preprocess datasets #4:  76%|███████▌  | 2875/3785 [01:35<00:35, 25.59ex/s]

preprocess datasets #1:  28%|██▊       | 1053/3786 [01:35<04:37,  9.85ex/s]


preprocess datasets #2:  72%|███████▏  | 2738/3786 [01:35<00:44, 23.69ex/s]
preprocess datasets #0:  29%|██▊       | 1084/3786 [01:35<04:54,  9.16ex/s]



preprocess datasets #3:  74%|███████▍  | 2817/3786 [01:35<00:33, 28.94ex/s]




preprocess datasets #4:  76%|███████▌  | 2878/3785 [01:35<00:38, 23.42ex/s]


preprocess datasets #2:  72%|███████▏  | 2741/3786 [01:35<00:46, 22.61ex/s]

preprocess datasets #1:  28%|██▊       | 1055/3786 [01:35<04:26, 10.24ex/s]



preprocess datasets #3:  75%|███████▍  | 2822/3786 [01:35<00:31, 31.09ex/s]
preprocess datasets #0:  29%|██▊       | 1086/3786 [01:35<04:33,  9.89ex/s]




preprocess datasets #4:  76%|███████▌  | 2881/3785 [01:35<00:41, 21.82ex/s]


preprocess datasets #2:  73%|███████▎  | 2745/3786 [01:35<00:42, 24.78ex/s]



preprocess datasets #3:  75%|███████▍  | 2826/3786 [01:35<00:30, 31.60ex/s]

preprocess datasets #1:  28%|██▊       | 1057/3786 [01:35<04:27, 10.21ex/s]




preprocess datasets #4:  76%|███████▌  | 2884/3785 [01:35<00:38, 23.12ex/s]
preprocess datasets #0:  29%|██▊       | 1088/3786 [01:35<04:19, 10.41ex/s]


preprocess datasets #2:  73%|███████▎  | 2748/3786 [01:35<00:43, 23.94ex/s]



preprocess datasets #3:  75%|███████▍  | 2830/3786 [01:35<00:28, 33.06ex/s]




preprocess datasets #4:  76%|███████▋  | 2887/3785 [01:35<00:36, 24.54ex/s]

preprocess datasets #1:  28%|██▊       | 1059/3786 [01:35<04:14, 10.70ex/s]


preprocess datasets #2:  73%|███████▎  | 2751/3786 [01:35<00:43, 23.99ex/s]



preprocess datasets #3:  75%|███████▍  | 2834/3786 [01:35<00:30, 31.54ex/s]
preprocess datasets #0:  29%|██▉       | 1090/3786 [01:35<04:19, 10.38ex/s]




preprocess datasets #4:  76%|███████▋  | 2890/3785 [01:35<00:42, 21.29ex/s]


preprocess datasets #2:  73%|███████▎  | 2754/3786 [01:36<00:44, 23.18ex/s]

preprocess datasets #1:  28%|██▊       | 1061/3786 [01:36<04:07, 11.00ex/s]



preprocess datasets #3:  75%|███████▍  | 2838/3786 [01:36<00:33, 28.50ex/s]
preprocess datasets #0:  29%|██▉       | 1092/3786 [01:36<04:18, 10.42ex/s]




preprocess datasets #4:  77%|███████▋  | 2896/3785 [01:36<00:30, 29.54ex/s]


preprocess datasets #2:  73%|███████▎  | 2758/3786 [01:36<00:38, 26.42ex/s]

preprocess datasets #1:  28%|██▊       | 1063/3786 [01:36<04:04, 11.15ex/s]



preprocess datasets #3:  75%|███████▌  | 2842/3786 [01:36<00:32, 28.80ex/s]


preprocess datasets #2:  73%|███████▎  | 2762/3786 [01:36<00:35, 28.51ex/s]




preprocess datasets #4:  77%|███████▋  | 2900/3785 [01:36<00:31, 28.33ex/s]
preprocess datasets #0:  29%|██▉       | 1094/3786 [01:36<04:07, 10.87ex/s]



preprocess datasets #3:  75%|███████▌  | 2845/3786 [01:36<00:34, 27.51ex/s]


preprocess datasets #2:  73%|███████▎  | 2766/3786 [01:36<00:33, 30.65ex/s]




preprocess datasets #4:  77%|███████▋  | 2904/3785 [01:36<00:29, 30.34ex/s]

preprocess datasets #1:  28%|██▊       | 1065/3786 [01:36<04:05, 11.08ex/s]



preprocess datasets #3:  75%|███████▌  | 2849/3786 [01:36<00:31, 29.97ex/s]


preprocess datasets #2:  73%|███████▎  | 2771/3786 [01:36<00:28, 35.41ex/s]
preprocess datasets #0:  29%|██▉       | 1096/3786 [01:36<04:16, 10.49ex/s]




preprocess datasets #4:  77%|███████▋  | 2908/3785 [01:36<00:30, 28.60ex/s]


preprocess datasets #2:  73%|███████▎  | 2775/3786 [01:36<00:28, 35.71ex/s]



preprocess datasets #3:  75%|███████▌  | 2854/3786 [01:36<00:28, 32.49ex/s]

preprocess datasets #1:  28%|██▊       | 1067/3786 [01:36<04:18, 10.51ex/s]
preprocess datasets #0:  29%|██▉       | 1098/3786 [01:36<04:14, 10.57ex/s]




preprocess datasets #4:  77%|███████▋  | 2912/3785 [01:36<00:31, 27.87ex/s]



preprocess datasets #3:  75%|███████▌  | 2858/3786 [01:36<00:27, 33.34ex/s]


preprocess datasets #2:  73%|███████▎  | 2779/3786 [01:36<00:29, 34.46ex/s]




preprocess datasets #4:  77%|███████▋  | 2916/3785 [01:36<00:29, 29.40ex/s]

preprocess datasets #1:  28%|██▊       | 1069/3786 [01:36<04:27, 10.17ex/s]



preprocess datasets #3:  76%|███████▌  | 2862/3786 [01:36<00:27, 33.21ex/s]


preprocess datasets #2:  74%|███████▎  | 2783/3786 [01:36<00:29, 34.28ex/s]
preprocess datasets #0:  29%|██▉       | 1100/3786 [01:36<04:12, 10.63ex/s]




preprocess datasets #4:  77%|███████▋  | 2920/3785 [01:36<00:28, 30.51ex/s]



preprocess datasets #3:  76%|███████▌  | 2868/3786 [01:36<00:23, 39.11ex/s]


preprocess datasets #2:  74%|███████▎  | 2787/3786 [01:36<00:31, 32.15ex/s]

preprocess datasets #1:  28%|██▊       | 1071/3786 [01:37<04:25, 10.21ex/s]



preprocess datasets #3:  76%|███████▌  | 2873/3786 [01:37<00:22, 41.19ex/s]
preprocess datasets #0:  29%|██▉       | 1102/3786 [01:37<04:11, 10.67ex/s]




preprocess datasets #4:  77%|███████▋  | 2924/3785 [01:37<00:30, 28.30ex/s]


preprocess datasets #2:  74%|███████▎  | 2791/3786 [01:37<00:31, 31.40ex/s]



preprocess datasets #3:  76%|███████▌  | 2878/3786 [01:37<00:21, 41.36ex/s]

preprocess datasets #1:  28%|██▊       | 1073/3786 [01:37<04:10, 10.83ex/s]
preprocess datasets #0:  29%|██▉       | 1104/3786 [01:37<04:03, 11.03ex/s]




preprocess datasets #4:  77%|███████▋  | 2928/3785 [01:37<00:29, 29.08ex/s]


preprocess datasets #2:  74%|███████▍  | 2795/3786 [01:37<00:35, 28.02ex/s]

preprocess datasets #1:  28%|██▊       | 1075/3786 [01:37<03:40, 12.28ex/s]



preprocess datasets #3:  76%|███████▌  | 2883/3786 [01:37<00:22, 39.52ex/s]




preprocess datasets #4:  77%|███████▋  | 2932/3785 [01:37<00:28, 29.89ex/s]
preprocess datasets #0:  29%|██▉       | 1106/3786 [01:37<03:48, 11.72ex/s]


preprocess datasets #2:  74%|███████▍  | 2798/3786 [01:37<00:36, 27.19ex/s]

preprocess datasets #1:  28%|██▊       | 1077/3786 [01:37<03:25, 13.16ex/s]



preprocess datasets #3:  76%|███████▋  | 2888/3786 [01:37<00:24, 37.24ex/s]




preprocess datasets #4:  78%|███████▊  | 2939/3785 [01:37<00:21, 38.90ex/s]

preprocess datasets #1:  28%|██▊       | 1079/3786 [01:37<03:04, 14.64ex/s]


preprocess datasets #2:  74%|███████▍  | 2802/3786 [01:37<00:34, 28.91ex/s]
preprocess datasets #0:  29%|██▉       | 1108/3786 [01:37<04:16, 10.42ex/s]



preprocess datasets #3:  76%|███████▋  | 2892/3786 [01:37<00:27, 32.36ex/s]

preprocess datasets #1:  29%|██▊       | 1081/3786 [01:37<03:00, 14.99ex/s]


preprocess datasets #2:  74%|███████▍  | 2806/3786 [01:37<00:33, 29.46ex/s]




preprocess datasets #4:  78%|███████▊  | 2944/3785 [01:37<00:27, 30.95ex/s]



preprocess datasets #3:  77%|███████▋  | 2897/3786 [01:37<00:25, 35.11ex/s]


preprocess datasets #2:  74%|███████▍  | 2809/3786 [01:37<00:33, 29.46ex/s]

preprocess datasets #1:  29%|██▊       | 1083/3786 [01:37<03:08, 14.30ex/s]




preprocess datasets #4:  78%|███████▊  | 2948/3785 [01:37<00:25, 32.61ex/s]



preprocess datasets #3:  77%|███████▋  | 2902/3786 [01:37<00:23, 38.13ex/s]
preprocess datasets #0:  29%|██▉       | 1110/3786 [01:37<04:39,  9.57ex/s]


preprocess datasets #2:  74%|███████▍  | 2813/3786 [01:37<00:32, 30.40ex/s]




preprocess datasets #4:  78%|███████▊  | 2953/3785 [01:37<00:24, 34.02ex/s]

preprocess datasets #1:  29%|██▊       | 1086/3786 [01:37<02:44, 16.37ex/s]



preprocess datasets #3:  77%|███████▋  | 2906/3786 [01:37<00:23, 37.95ex/s]
preprocess datasets #0:  29%|██▉       | 1111/3786 [01:37<04:42,  9.48ex/s]


preprocess datasets #2:  74%|███████▍  | 2819/3786 [01:37<00:26, 36.99ex/s]
preprocess datasets #0:  29%|██▉       | 1112/3786 [01:38<04:44,  9.39ex/s]



preprocess datasets #3:  77%|███████▋  | 2913/3786 [01:38<00:20, 42.85ex/s]


preprocess datasets #2:  75%|███████▍  | 2823/3786 [01:38<00:25, 37.10ex/s]

preprocess datasets #1:  29%|██▊       | 1088/3786 [01:38<03:05, 14.54ex/s]




preprocess datasets #4:  78%|███████▊  | 2957/3785 [01:38<00:27, 29.85ex/s]
preprocess datasets #0:  29%|██▉       | 1113/3786 [01:38<04:43,  9.43ex/s]



preprocess datasets #3:  77%|███████▋  | 2918/3786 [01:38<00:21, 39.56ex/s]


preprocess datasets #2:  75%|███████▍  | 2827/3786 [01:38<00:28, 33.29ex/s]
preprocess datasets #0:  29%|██▉       | 1114/3786 [01:38<05:01,  8.86ex/s]


preprocess datasets #2:  75%|███████▍  | 2831/3786 [01:38<00:28, 33.30ex/s]




preprocess datasets #4:  78%|███████▊  | 2961/3785 [01:38<00:34, 23.87ex/s]



preprocess datasets #3:  77%|███████▋  | 2923/3786 [01:38<00:23, 36.11ex/s]

preprocess datasets #1:  29%|██▉       | 1090/3786 [01:38<04:05, 10.99ex/s]
preprocess datasets #0:  29%|██▉       | 1115/3786 [01:38<05:02,  8.83ex/s]



preprocess datasets #3:  77%|███████▋  | 2927/3786 [01:38<00:24, 35.03ex/s]




preprocess datasets #4:  78%|███████▊  | 2966/3785 [01:38<00:31, 26.00ex/s]
preprocess datasets #0:  29%|██▉       | 1116/3786 [01:38<05:01,  8.87ex/s]


preprocess datasets #2:  75%|███████▍  | 2835/3786 [01:38<00:33, 28.66ex/s]

preprocess datasets #1:  29%|██▉       | 1092/3786 [01:38<04:06, 10.92ex/s]




preprocess datasets #4:  78%|███████▊  | 2969/3785 [01:38<00:32, 25.44ex/s]



preprocess datasets #3:  77%|███████▋  | 2934/3786 [01:38<00:21, 39.68ex/s]
preprocess datasets #0:  30%|██▉       | 1118/3786 [01:38<04:15, 10.44ex/s]


preprocess datasets #2:  75%|███████▍  | 2839/3786 [01:38<00:33, 28.56ex/s]

preprocess datasets #1:  29%|██▉       | 1094/3786 [01:38<04:03, 11.06ex/s]


preprocess datasets #2:  75%|███████▌  | 2843/3786 [01:38<00:31, 29.66ex/s]




preprocess datasets #4:  79%|███████▊  | 2972/3785 [01:38<00:35, 23.03ex/s]



preprocess datasets #3:  78%|███████▊  | 2939/3786 [01:38<00:24, 34.88ex/s]

preprocess datasets #1:  29%|██▉       | 1096/3786 [01:38<03:56, 11.36ex/s]
preprocess datasets #0:  30%|██▉       | 1120/3786 [01:38<04:52,  9.10ex/s]




preprocess datasets #4:  79%|███████▊  | 2975/3785 [01:38<00:36, 22.31ex/s]


preprocess datasets #2:  75%|███████▌  | 2847/3786 [01:38<00:35, 26.81ex/s]



preprocess datasets #3:  78%|███████▊  | 2943/3786 [01:38<00:26, 32.11ex/s]




preprocess datasets #4:  79%|███████▊  | 2980/3785 [01:39<00:28, 27.94ex/s]
preprocess datasets #0:  30%|██▉       | 1122/3786 [01:39<04:19, 10.26ex/s]

preprocess datasets #1:  29%|██▉       | 1098/3786 [01:39<03:54, 11.47ex/s]



preprocess datasets #3:  78%|███████▊  | 2947/3786 [01:39<00:25, 32.91ex/s]


preprocess datasets #2:  75%|███████▌  | 2850/3786 [01:39<00:37, 24.96ex/s]




preprocess datasets #4:  79%|███████▉  | 2984/3785 [01:39<00:27, 29.50ex/s]



preprocess datasets #3:  78%|███████▊  | 2951/3786 [01:39<00:25, 32.53ex/s]
preprocess datasets #0:  30%|██▉       | 1124/3786 [01:39<04:09, 10.67ex/s]


preprocess datasets #2:  75%|███████▌  | 2853/3786 [01:39<00:37, 24.66ex/s]

preprocess datasets #1:  29%|██▉       | 1100/3786 [01:39<03:59, 11.21ex/s]




preprocess datasets #4:  79%|███████▉  | 2988/3785 [01:39<00:26, 29.78ex/s]



preprocess datasets #3:  78%|███████▊  | 2955/3786 [01:39<00:26, 30.89ex/s]


preprocess datasets #2:  75%|███████▌  | 2856/3786 [01:39<00:41, 22.67ex/s]
preprocess datasets #0:  30%|██▉       | 1126/3786 [01:39<04:01, 10.99ex/s]




preprocess datasets #4:  79%|███████▉  | 2993/3785 [01:39<00:23, 33.13ex/s]

preprocess datasets #1:  29%|██▉       | 1102/3786 [01:39<04:16, 10.46ex/s]




preprocess datasets #4:  79%|███████▉  | 2997/3785 [01:39<00:22, 34.57ex/s]


preprocess datasets #2:  76%|███████▌  | 2859/3786 [01:39<00:40, 23.13ex/s]



preprocess datasets #3:  78%|███████▊  | 2959/3786 [01:39<00:28, 28.57ex/s]
preprocess datasets #0:  30%|██▉       | 1128/3786 [01:39<03:46, 11.76ex/s]


preprocess datasets #2:  76%|███████▌  | 2862/3786 [01:39<00:39, 23.65ex/s]



preprocess datasets #3:  78%|███████▊  | 2962/3786 [01:39<00:30, 26.97ex/s]

preprocess datasets #1:  29%|██▉       | 1104/3786 [01:39<04:16, 10.47ex/s]
preprocess datasets #0:  30%|██▉       | 1130/3786 [01:39<03:43, 11.87ex/s]



preprocess datasets #3:  78%|███████▊  | 2965/3786 [01:39<00:31, 26.02ex/s]


preprocess datasets #2:  76%|███████▌  | 2865/3786 [01:39<00:43, 20.98ex/s]

preprocess datasets #1:  29%|██▉       | 1106/3786 [01:39<04:00, 11.13ex/s]
preprocess datasets #0:  30%|██▉       | 1132/3786 [01:39<03:39, 12.07ex/s]



preprocess datasets #3:  78%|███████▊  | 2969/3786 [01:39<00:28, 29.00ex/s]




preprocess datasets #4:  79%|███████▉  | 3001/3785 [01:39<00:41, 18.77ex/s]

preprocess datasets #1:  29%|██▉       | 1108/3786 [01:39<03:47, 11.77ex/s]


preprocess datasets #2:  76%|███████▌  | 2870/3786 [01:39<00:37, 24.16ex/s]



preprocess datasets #3:  79%|███████▊  | 2973/3786 [01:39<00:26, 30.84ex/s]
preprocess datasets #0:  30%|██▉       | 1134/3786 [01:40<03:26, 12.82ex/s]




preprocess datasets #4:  79%|███████▉  | 3005/3785 [01:40<00:36, 21.60ex/s]


preprocess datasets #2:  76%|███████▌  | 2873/3786 [01:40<00:36, 24.94ex/s]
preprocess datasets #0:  30%|███       | 1136/3786 [01:40<03:15, 13.57ex/s]



preprocess datasets #3:  79%|███████▊  | 2977/3786 [01:40<00:29, 27.55ex/s]

preprocess datasets #1:  29%|██▉       | 1110/3786 [01:40<04:06, 10.86ex/s]




preprocess datasets #4:  80%|███████▉  | 3010/3785 [01:40<00:30, 25.11ex/s]


preprocess datasets #2:  76%|███████▌  | 2879/3786 [01:40<00:29, 31.17ex/s]



preprocess datasets #3:  79%|███████▊  | 2980/3786 [01:40<00:29, 27.37ex/s]




preprocess datasets #4:  80%|███████▉  | 3014/3785 [01:40<00:28, 27.53ex/s]


preprocess datasets #2:  76%|███████▌  | 2883/3786 [01:40<00:28, 32.22ex/s]
preprocess datasets #0:  30%|███       | 1138/3786 [01:40<03:39, 12.04ex/s]

preprocess datasets #1:  29%|██▉       | 1112/3786 [01:40<04:03, 10.98ex/s]



preprocess datasets #3:  79%|███████▉  | 2983/3786 [01:40<00:33, 24.11ex/s]


preprocess datasets #2:  76%|███████▋  | 2887/3786 [01:40<00:27, 32.14ex/s]




preprocess datasets #4:  80%|███████▉  | 3018/3785 [01:40<00:27, 27.78ex/s]
preprocess datasets #0:  30%|███       | 1140/3786 [01:40<03:47, 11.65ex/s]

preprocess datasets #1:  29%|██▉       | 1114/3786 [01:40<04:10, 10.66ex/s]



preprocess datasets #3:  79%|███████▉  | 2987/3786 [01:40<00:32, 24.39ex/s]


preprocess datasets #2:  76%|███████▋  | 2891/3786 [01:40<00:31, 28.76ex/s]




preprocess datasets #4:  80%|███████▉  | 3022/3785 [01:40<00:33, 23.12ex/s]

preprocess datasets #1:  29%|██▉       | 1116/3786 [01:40<03:55, 11.32ex/s]



preprocess datasets #3:  79%|███████▉  | 2992/3786 [01:40<00:26, 30.06ex/s]


preprocess datasets #2:  76%|███████▋  | 2895/3786 [01:40<00:32, 27.74ex/s]




preprocess datasets #4:  80%|███████▉  | 3027/3785 [01:40<00:27, 27.54ex/s]



preprocess datasets #3:  79%|███████▉  | 2996/3786 [01:40<00:26, 29.50ex/s]

preprocess datasets #1:  30%|██▉       | 1118/3786 [01:40<03:52, 11.49ex/s]


preprocess datasets #2:  77%|███████▋  | 2900/3786 [01:40<00:27, 32.04ex/s]
preprocess datasets #0:  30%|███       | 1142/3786 [01:40<05:10,  8.50ex/s]




preprocess datasets #4:  80%|████████  | 3031/3785 [01:40<00:25, 29.33ex/s]


preprocess datasets #2:  77%|███████▋  | 2904/3786 [01:41<00:29, 30.11ex/s]




preprocess datasets #4:  80%|████████  | 3035/3785 [01:41<00:26, 28.45ex/s]

preprocess datasets #1:  30%|██▉       | 1120/3786 [01:41<04:07, 10.77ex/s]
preprocess datasets #0:  30%|███       | 1144/3786 [01:41<04:56,  8.92ex/s]


preprocess datasets #2:  77%|███████▋  | 2908/3786 [01:41<00:30, 28.85ex/s]




preprocess datasets #4:  80%|████████  | 3039/3785 [01:41<00:26, 28.47ex/s]
preprocess datasets #0:  30%|███       | 1146/3786 [01:41<04:46,  9.22ex/s]

preprocess datasets #1:  30%|██▉       | 1122/3786 [01:41<04:19, 10.26ex/s]


preprocess datasets #2:  77%|███████▋  | 2911/3786 [01:41<00:31, 27.68ex/s]



preprocess datasets #3:  79%|███████▉  | 3000/3786 [01:41<00:48, 16.07ex/s]




preprocess datasets #4:  80%|████████  | 3043/3785 [01:41<00:30, 24.38ex/s]


preprocess datasets #2:  77%|███████▋  | 2915/3786 [01:41<00:31, 27.99ex/s]
preprocess datasets #0:  30%|███       | 1148/3786 [01:41<04:27,  9.87ex/s]



preprocess datasets #3:  79%|███████▉  | 3006/3786 [01:41<00:35, 21.71ex/s]




preprocess datasets #4:  80%|████████  | 3046/3785 [01:41<00:29, 24.69ex/s]

preprocess datasets #1:  30%|██▉       | 1124/3786 [01:41<04:45,  9.33ex/s]


preprocess datasets #2:  77%|███████▋  | 2918/3786 [01:41<00:33, 25.88ex/s]



preprocess datasets #3:  80%|███████▉  | 3010/3786 [01:41<00:31, 24.36ex/s]
preprocess datasets #0:  30%|███       | 1150/3786 [01:41<04:20, 10.11ex/s]

preprocess datasets #1:  30%|██▉       | 1125/3786 [01:41<04:51,  9.13ex/s]




preprocess datasets #4:  81%|████████  | 3050/3785 [01:41<00:29, 25.01ex/s]



preprocess datasets #3:  80%|███████▉  | 3015/3786 [01:41<00:27, 28.49ex/s]


preprocess datasets #2:  77%|███████▋  | 2921/3786 [01:41<00:34, 24.98ex/s]
preprocess datasets #0:  30%|███       | 1152/3786 [01:41<04:16, 10.27ex/s]



preprocess datasets #3:  80%|███████▉  | 3019/3786 [01:41<00:27, 28.21ex/s]


preprocess datasets #2:  77%|███████▋  | 2925/3786 [01:41<00:32, 26.57ex/s]

preprocess datasets #1:  30%|██▉       | 1127/3786 [01:41<04:34,  9.70ex/s]




preprocess datasets #4:  81%|████████  | 3053/3785 [01:41<00:32, 22.47ex/s]


preprocess datasets #2:  77%|███████▋  | 2928/3786 [01:42<00:34, 25.17ex/s]



preprocess datasets #3:  80%|███████▉  | 3024/3786 [01:42<00:25, 29.42ex/s]

preprocess datasets #1:  30%|██▉       | 1129/3786 [01:42<04:11, 10.56ex/s]




preprocess datasets #4:  81%|████████  | 3056/3785 [01:42<00:33, 21.81ex/s]
preprocess datasets #0:  30%|███       | 1154/3786 [01:42<04:27,  9.82ex/s]



preprocess datasets #3:  80%|███████▉  | 3028/3786 [01:42<00:25, 29.89ex/s]




preprocess datasets #4:  81%|████████  | 3059/3785 [01:42<00:31, 22.91ex/s]


preprocess datasets #2:  77%|███████▋  | 2931/3786 [01:42<00:37, 23.07ex/s]

preprocess datasets #1:  30%|██▉       | 1131/3786 [01:42<03:56, 11.23ex/s]
preprocess datasets #0:  31%|███       | 1156/3786 [01:42<04:17, 10.22ex/s]




preprocess datasets #4:  81%|████████  | 3062/3785 [01:42<00:31, 23.18ex/s]


preprocess datasets #2:  78%|███████▊  | 2935/3786 [01:42<00:33, 25.20ex/s]



preprocess datasets #3:  80%|████████  | 3032/3786 [01:42<00:26, 28.71ex/s]

preprocess datasets #1:  30%|██▉       | 1133/3786 [01:42<04:15, 10.37ex/s]



preprocess datasets #3:  80%|████████  | 3037/3786 [01:42<00:23, 32.42ex/s]




preprocess datasets #4:  81%|████████  | 3065/3785 [01:42<00:32, 22.45ex/s]


preprocess datasets #2:  78%|███████▊  | 2938/3786 [01:42<00:35, 23.82ex/s]
preprocess datasets #0:  31%|███       | 1158/3786 [01:42<04:18, 10.17ex/s]




preprocess datasets #4:  81%|████████  | 3069/3785 [01:42<00:27, 25.98ex/s]


preprocess datasets #2:  78%|███████▊  | 2942/3786 [01:42<00:32, 26.26ex/s]

preprocess datasets #1:  30%|██▉       | 1135/3786 [01:42<04:07, 10.72ex/s]
preprocess datasets #0:  31%|███       | 1160/3786 [01:42<03:54, 11.21ex/s]



preprocess datasets #3:  80%|████████  | 3041/3786 [01:42<00:25, 28.67ex/s]




preprocess datasets #4:  81%|████████  | 3074/3785 [01:42<00:24, 28.51ex/s]


preprocess datasets #2:  78%|███████▊  | 2945/3786 [01:42<00:35, 23.84ex/s]

preprocess datasets #1:  30%|███       | 1137/3786 [01:42<03:54, 11.31ex/s]



preprocess datasets #3:  80%|████████  | 3045/3786 [01:42<00:25, 29.06ex/s]
preprocess datasets #0:  31%|███       | 1162/3786 [01:42<03:53, 11.23ex/s]




preprocess datasets #4:  81%|████████▏ | 3077/3785 [01:42<00:25, 27.34ex/s]


preprocess datasets #2:  78%|███████▊  | 2948/3786 [01:42<00:33, 25.13ex/s]



preprocess datasets #3:  81%|████████  | 3049/3786 [01:42<00:25, 29.15ex/s]

preprocess datasets #1:  30%|███       | 1139/3786 [01:42<03:43, 11.83ex/s]
preprocess datasets #0:  31%|███       | 1164/3786 [01:42<03:33, 12.30ex/s]




preprocess datasets #4:  81%|████████▏ | 3081/3785 [01:42<00:24, 28.51ex/s]


preprocess datasets #2:  78%|███████▊  | 2953/3786 [01:42<00:30, 27.71ex/s]



preprocess datasets #3:  81%|████████  | 3053/3786 [01:43<00:25, 28.33ex/s]
preprocess datasets #0:  31%|███       | 1166/3786 [01:43<03:25, 12.78ex/s]




preprocess datasets #4:  81%|████████▏ | 3084/3785 [01:43<00:27, 25.30ex/s]


preprocess datasets #2:  78%|███████▊  | 2956/3786 [01:43<00:30, 26.96ex/s]

preprocess datasets #1:  30%|███       | 1141/3786 [01:43<04:11, 10.51ex/s]



preprocess datasets #3:  81%|████████  | 3058/3786 [01:43<00:22, 31.92ex/s]


preprocess datasets #2:  78%|███████▊  | 2959/3786 [01:43<00:31, 26.39ex/s]
preprocess datasets #0:  31%|███       | 1168/3786 [01:43<03:45, 11.63ex/s]



preprocess datasets #3:  81%|████████  | 3063/3786 [01:43<00:21, 33.37ex/s]




preprocess datasets #4:  82%|████████▏ | 3087/3785 [01:43<00:34, 20.49ex/s]

preprocess datasets #1:  30%|███       | 1143/3786 [01:43<04:25,  9.96ex/s]


preprocess datasets #2:  78%|███████▊  | 2964/3786 [01:43<00:28, 29.25ex/s]



preprocess datasets #3:  81%|████████  | 3067/3786 [01:43<00:21, 34.14ex/s]




preprocess datasets #4:  82%|████████▏ | 3091/3785 [01:43<00:28, 23.97ex/s]
preprocess datasets #0:  31%|███       | 1170/3786 [01:43<03:55, 11.12ex/s]


preprocess datasets #2:  78%|███████▊  | 2967/3786 [01:43<00:29, 27.31ex/s]



preprocess datasets #3:  81%|████████  | 3071/3786 [01:43<00:22, 32.37ex/s]




preprocess datasets #4:  82%|████████▏ | 3094/3785 [01:43<00:28, 24.07ex/s]
preprocess datasets #0:  31%|███       | 1172/3786 [01:43<03:50, 11.36ex/s]


preprocess datasets #2:  78%|███████▊  | 2970/3786 [01:43<00:30, 26.72ex/s]




preprocess datasets #4:  82%|████████▏ | 3097/3785 [01:43<00:27, 24.59ex/s]

preprocess datasets #1:  30%|███       | 1145/3786 [01:43<05:14,  8.40ex/s]



preprocess datasets #3:  81%|████████  | 3075/3786 [01:43<00:24, 29.40ex/s]


preprocess datasets #2:  79%|███████▊  | 2973/3786 [01:43<00:33, 23.95ex/s]

preprocess datasets #1:  30%|███       | 1146/3786 [01:43<05:11,  8.47ex/s]
preprocess datasets #0:  31%|███       | 1174/3786 [01:43<04:05, 10.66ex/s]




preprocess datasets #4:  82%|████████▏ | 3100/3785 [01:43<00:31, 21.54ex/s]



preprocess datasets #3:  81%|████████▏ | 3079/3786 [01:43<00:25, 27.53ex/s]


preprocess datasets #2:  79%|███████▊  | 2976/3786 [01:43<00:35, 22.73ex/s]

preprocess datasets #1:  30%|███       | 1148/3786 [01:43<04:25,  9.94ex/s]




preprocess datasets #4:  82%|████████▏ | 3103/3785 [01:43<00:30, 22.69ex/s]



preprocess datasets #3:  81%|████████▏ | 3082/3786 [01:43<00:26, 26.12ex/s]
preprocess datasets #0:  31%|███       | 1176/3786 [01:44<04:05, 10.64ex/s]


preprocess datasets #2:  79%|███████▊  | 2980/3786 [01:44<00:33, 24.07ex/s]




preprocess datasets #4:  82%|████████▏ | 3107/3785 [01:44<00:25, 26.41ex/s]



preprocess datasets #3:  81%|████████▏ | 3085/3786 [01:44<00:25, 26.98ex/s]

preprocess datasets #1:  30%|███       | 1150/3786 [01:44<04:30,  9.74ex/s]




preprocess datasets #4:  82%|████████▏ | 3110/3785 [01:44<00:25, 26.44ex/s]
preprocess datasets #0:  31%|███       | 1178/3786 [01:44<04:10, 10.43ex/s]


preprocess datasets #2:  79%|███████▉  | 2983/3786 [01:44<00:35, 22.78ex/s]

preprocess datasets #1:  30%|███       | 1152/3786 [01:44<03:48, 11.53ex/s]



preprocess datasets #3:  82%|████████▏ | 3088/3786 [01:44<00:28, 24.54ex/s]




preprocess datasets #4:  82%|████████▏ | 3115/3785 [01:44<00:21, 31.53ex/s]


preprocess datasets #2:  79%|███████▉  | 2986/3786 [01:44<00:34, 23.26ex/s]



preprocess datasets #3:  82%|████████▏ | 3091/3786 [01:44<00:27, 25.56ex/s]
preprocess datasets #0:  31%|███       | 1180/3786 [01:44<04:05, 10.60ex/s]




preprocess datasets #4:  82%|████████▏ | 3119/3785 [01:44<00:20, 32.26ex/s]

preprocess datasets #1:  30%|███       | 1154/3786 [01:44<04:00, 10.96ex/s]


preprocess datasets #2:  79%|███████▉  | 2989/3786 [01:44<00:32, 24.74ex/s]



preprocess datasets #3:  82%|████████▏ | 3094/3786 [01:44<00:27, 25.39ex/s]




preprocess datasets #4:  83%|████████▎ | 3123/3785 [01:44<00:21, 30.12ex/s]


preprocess datasets #2:  79%|███████▉  | 2992/3786 [01:44<00:32, 24.46ex/s]
preprocess datasets #0:  31%|███       | 1182/3786 [01:44<04:04, 10.67ex/s]



preprocess datasets #3:  82%|████████▏ | 3097/3786 [01:44<00:27, 25.10ex/s]




preprocess datasets #4:  83%|████████▎ | 3127/3785 [01:44<00:20, 32.03ex/s]


preprocess datasets #2:  79%|███████▉  | 2995/3786 [01:44<00:32, 24.05ex/s]



preprocess datasets #3:  82%|████████▏ | 3103/3786 [01:44<00:20, 33.65ex/s]

preprocess datasets #1:  31%|███       | 1156/3786 [01:44<04:34,  9.60ex/s]
preprocess datasets #0:  31%|███▏      | 1184/3786 [01:44<04:18, 10.05ex/s]


preprocess datasets #2:  79%|███████▉  | 2998/3786 [01:44<00:31, 25.09ex/s]




preprocess datasets #4:  83%|████████▎ | 3132/3785 [01:44<00:19, 33.07ex/s]



preprocess datasets #3:  82%|████████▏ | 3107/3786 [01:44<00:20, 33.02ex/s]

preprocess datasets #1:  31%|███       | 1158/3786 [01:44<04:09, 10.54ex/s]




preprocess datasets #4:  83%|████████▎ | 3137/3785 [01:44<00:18, 34.28ex/s]



preprocess datasets #3:  82%|████████▏ | 3111/3786 [01:44<00:21, 31.51ex/s]

preprocess datasets #1:  31%|███       | 1160/3786 [01:45<03:56, 11.12ex/s]
preprocess datasets #0:  31%|███▏      | 1186/3786 [01:45<04:24,  9.85ex/s]



preprocess datasets #3:  82%|████████▏ | 3115/3786 [01:45<00:23, 29.10ex/s]




preprocess datasets #4:  83%|████████▎ | 3141/3785 [01:45<00:22, 29.26ex/s]
preprocess datasets #0:  31%|███▏      | 1187/3786 [01:45<04:44,  9.13ex/s]

preprocess datasets #1:  31%|███       | 1162/3786 [01:45<03:53, 11.23ex/s]
preprocess datasets #0:  31%|███▏      | 1188/3786 [01:45<04:54,  8.82ex/s]



preprocess datasets #3:  82%|████████▏ | 3119/3786 [01:45<00:24, 27.67ex/s]


preprocess datasets #2:  79%|███████▉  | 3001/3786 [01:45<00:59, 13.13ex/s]




preprocess datasets #4:  83%|████████▎ | 3145/3785 [01:45<00:22, 28.15ex/s]
preprocess datasets #0:  31%|███▏      | 1189/3786 [01:45<04:49,  8.96ex/s]


preprocess datasets #2:  79%|███████▉  | 3004/3786 [01:45<00:50, 15.54ex/s]




preprocess datasets #4:  83%|████████▎ | 3149/3785 [01:45<00:21, 29.72ex/s]

preprocess datasets #1:  31%|███       | 1164/3786 [01:45<04:14, 10.29ex/s]



preprocess datasets #3:  83%|████████▎ | 3124/3786 [01:45<00:21, 30.35ex/s]


preprocess datasets #2:  79%|███████▉  | 3008/3786 [01:45<00:39, 19.86ex/s]
preprocess datasets #0:  31%|███▏      | 1191/3786 [01:45<03:57, 10.94ex/s]



preprocess datasets #3:  83%|████████▎ | 3128/3786 [01:45<00:21, 30.15ex/s]


preprocess datasets #2:  80%|███████▉  | 3011/3786 [01:45<00:35, 21.71ex/s]




preprocess datasets #4:  83%|████████▎ | 3153/3785 [01:45<00:24, 26.17ex/s]

preprocess datasets #1:  31%|███       | 1166/3786 [01:45<04:13, 10.33ex/s]



preprocess datasets #3:  83%|████████▎ | 3132/3786 [01:45<00:21, 30.30ex/s]
preprocess datasets #0:  32%|███▏      | 1193/3786 [01:45<04:02, 10.68ex/s]

preprocess datasets #1:  31%|███       | 1168/3786 [01:45<03:49, 11.40ex/s]


preprocess datasets #2:  80%|███████▉  | 3014/3786 [01:45<00:36, 21.33ex/s]




preprocess datasets #4:  83%|████████▎ | 3156/3785 [01:45<00:26, 24.06ex/s]



preprocess datasets #3:  83%|████████▎ | 3136/3786 [01:45<00:22, 29.37ex/s]


preprocess datasets #2:  80%|███████▉  | 3018/3786 [01:45<00:30, 25.22ex/s]




preprocess datasets #4:  83%|████████▎ | 3159/3785 [01:45<00:25, 25.00ex/s]

preprocess datasets #1:  31%|███       | 1170/3786 [01:45<04:00, 10.90ex/s]



preprocess datasets #3:  83%|████████▎ | 3142/3786 [01:45<00:18, 35.19ex/s]


preprocess datasets #2:  80%|███████▉  | 3022/3786 [01:45<00:26, 28.60ex/s]
preprocess datasets #0:  32%|███▏      | 1195/3786 [01:46<05:07,  8.41ex/s]




preprocess datasets #4:  84%|████████▎ | 3162/3785 [01:46<00:28, 22.07ex/s]



preprocess datasets #3:  83%|████████▎ | 3146/3786 [01:46<00:19, 33.52ex/s]


preprocess datasets #2:  80%|███████▉  | 3026/3786 [01:46<00:27, 27.28ex/s]

preprocess datasets #1:  31%|███       | 1172/3786 [01:46<04:02, 10.80ex/s]
preprocess datasets #0:  32%|███▏      | 1196/3786 [01:46<05:00,  8.63ex/s]




preprocess datasets #4:  84%|████████▎ | 3166/3785 [01:46<00:24, 25.70ex/s]



preprocess datasets #3:  83%|████████▎ | 3151/3786 [01:46<00:17, 35.68ex/s]


preprocess datasets #2:  80%|████████  | 3031/3786 [01:46<00:24, 30.76ex/s]

preprocess datasets #1:  31%|███       | 1174/3786 [01:46<03:55, 11.08ex/s]




preprocess datasets #4:  84%|████████▎ | 3169/3785 [01:46<00:25, 23.71ex/s]



preprocess datasets #3:  83%|████████▎ | 3155/3786 [01:46<00:18, 34.61ex/s]
preprocess datasets #0:  32%|███▏      | 1198/3786 [01:46<04:40,  9.21ex/s]


preprocess datasets #2:  80%|████████  | 3035/3786 [01:46<00:24, 30.48ex/s]




preprocess datasets #4:  84%|████████▍ | 3173/3785 [01:46<00:22, 26.72ex/s]

preprocess datasets #1:  31%|███       | 1176/3786 [01:46<03:49, 11.35ex/s]


preprocess datasets #2:  80%|████████  | 3041/3786 [01:46<00:19, 37.39ex/s]
preprocess datasets #0:  32%|███▏      | 1200/3786 [01:46<04:13, 10.20ex/s]



preprocess datasets #3:  83%|████████▎ | 3159/3786 [01:46<00:20, 31.07ex/s]




preprocess datasets #4:  84%|████████▍ | 3176/3785 [01:46<00:23, 26.42ex/s]


preprocess datasets #2:  80%|████████  | 3047/3786 [01:46<00:17, 42.48ex/s]

preprocess datasets #1:  31%|███       | 1178/3786 [01:46<03:45, 11.58ex/s]




preprocess datasets #4:  84%|████████▍ | 3180/3785 [01:46<00:20, 29.47ex/s]
preprocess datasets #0:  32%|███▏      | 1202/3786 [01:46<04:18, 10.00ex/s]


preprocess datasets #2:  81%|████████  | 3052/3786 [01:46<00:17, 41.27ex/s]



preprocess datasets #3:  84%|████████▎ | 3163/3786 [01:46<00:25, 24.88ex/s]

preprocess datasets #1:  31%|███       | 1180/3786 [01:46<03:35, 12.09ex/s]




preprocess datasets #4:  84%|████████▍ | 3184/3785 [01:46<00:20, 29.08ex/s]


preprocess datasets #2:  81%|████████  | 3057/3786 [01:46<00:19, 38.09ex/s]




preprocess datasets #4:  84%|████████▍ | 3188/3785 [01:46<00:19, 31.00ex/s]



preprocess datasets #3:  84%|████████▎ | 3166/3786 [01:46<00:28, 21.87ex/s]
preprocess datasets #0:  32%|███▏      | 1204/3786 [01:46<04:37,  9.29ex/s]

preprocess datasets #1:  31%|███       | 1182/3786 [01:46<03:44, 11.62ex/s]


preprocess datasets #2:  81%|████████  | 3063/3786 [01:47<00:17, 41.01ex/s]



preprocess datasets #3:  84%|████████▎ | 3169/3786 [01:47<00:28, 21.64ex/s]


preprocess datasets #2:  81%|████████  | 3068/3786 [01:47<00:16, 43.02ex/s]




preprocess datasets #4:  84%|████████▍ | 3192/3785 [01:47<00:22, 25.94ex/s]

preprocess datasets #1:  31%|███▏      | 1184/3786 [01:47<03:33, 12.20ex/s]
preprocess datasets #0:  32%|███▏      | 1206/3786 [01:47<04:29,  9.57ex/s]



preprocess datasets #3:  84%|████████▍ | 3174/3786 [01:47<00:23, 25.52ex/s]




preprocess datasets #4:  84%|████████▍ | 3195/3785 [01:47<00:23, 25.24ex/s]


preprocess datasets #2:  81%|████████  | 3073/3786 [01:47<00:17, 39.69ex/s]

preprocess datasets #1:  31%|███▏      | 1186/3786 [01:47<03:26, 12.60ex/s]
preprocess datasets #0:  32%|███▏      | 1207/3786 [01:47<04:38,  9.27ex/s]




preprocess datasets #4:  85%|████████▍ | 3199/3785 [01:47<00:20, 28.62ex/s]



preprocess datasets #3:  84%|████████▍ | 3178/3786 [01:47<00:23, 25.75ex/s]


preprocess datasets #2:  81%|████████▏ | 3078/3786 [01:47<00:17, 39.67ex/s]
preprocess datasets #0:  32%|███▏      | 1208/3786 [01:47<04:47,  8.98ex/s]

preprocess datasets #1:  31%|███▏      | 1188/3786 [01:47<03:42, 11.67ex/s]
preprocess datasets #0:  32%|███▏      | 1209/3786 [01:47<04:47,  8.96ex/s]



preprocess datasets #3:  84%|████████▍ | 3181/3786 [01:47<00:25, 24.07ex/s]


preprocess datasets #2:  81%|████████▏ | 3083/3786 [01:47<00:19, 36.19ex/s]




preprocess datasets #4:  85%|████████▍ | 3203/3785 [01:47<00:26, 22.09ex/s]
preprocess datasets #0:  32%|███▏      | 1210/3786 [01:47<04:40,  9.19ex/s]



preprocess datasets #3:  84%|████████▍ | 3184/3786 [01:47<00:24, 24.55ex/s]

preprocess datasets #1:  31%|███▏      | 1190/3786 [01:47<03:44, 11.58ex/s]


preprocess datasets #2:  82%|████████▏ | 3087/3786 [01:47<00:21, 32.21ex/s]




preprocess datasets #4:  85%|████████▍ | 3208/3785 [01:47<00:22, 25.68ex/s]



preprocess datasets #3:  84%|████████▍ | 3188/3786 [01:47<00:22, 26.11ex/s]

preprocess datasets #1:  31%|███▏      | 1192/3786 [01:47<03:35, 12.06ex/s]
preprocess datasets #0:  32%|███▏      | 1212/3786 [01:47<04:39,  9.21ex/s]




preprocess datasets #4:  85%|████████▍ | 3211/3785 [01:47<00:22, 25.15ex/s]


preprocess datasets #2:  82%|████████▏ | 3091/3786 [01:47<00:23, 29.52ex/s]



preprocess datasets #3:  84%|████████▍ | 3191/3786 [01:47<00:25, 23.80ex/s]

preprocess datasets #1:  32%|███▏      | 1194/3786 [01:47<03:29, 12.37ex/s]




preprocess datasets #4:  85%|████████▍ | 3216/3785 [01:47<00:18, 30.44ex/s]
preprocess datasets #0:  32%|███▏      | 1213/3786 [01:48<05:06,  8.39ex/s]


preprocess datasets #2:  82%|████████▏ | 3096/3786 [01:48<00:21, 32.04ex/s]



preprocess datasets #3:  84%|████████▍ | 3196/3786 [01:48<00:22, 25.92ex/s]
preprocess datasets #0:  32%|███▏      | 1214/3786 [01:48<05:05,  8.42ex/s]


preprocess datasets #2:  82%|████████▏ | 3100/3786 [01:48<00:20, 33.12ex/s]




preprocess datasets #4:  85%|████████▌ | 3220/3785 [01:48<00:19, 29.70ex/s]

preprocess datasets #1:  32%|███▏      | 1196/3786 [01:48<03:36, 11.96ex/s]
preprocess datasets #0:  32%|███▏      | 1215/3786 [01:48<04:56,  8.67ex/s]



preprocess datasets #3:  84%|████████▍ | 3199/3786 [01:48<00:23, 24.98ex/s]


preprocess datasets #2:  82%|████████▏ | 3105/3786 [01:48<00:18, 36.22ex/s]




preprocess datasets #4:  85%|████████▌ | 3224/3785 [01:48<00:18, 31.01ex/s]
preprocess datasets #0:  32%|███▏      | 1217/3786 [01:48<03:47, 11.27ex/s]



preprocess datasets #3:  85%|████████▍ | 3204/3786 [01:48<00:19, 30.40ex/s]

preprocess datasets #1:  32%|███▏      | 1198/3786 [01:48<03:56, 10.94ex/s]


preprocess datasets #2:  82%|████████▏ | 3111/3786 [01:48<00:17, 39.64ex/s]




preprocess datasets #4:  85%|████████▌ | 3228/3785 [01:48<00:20, 27.26ex/s]



preprocess datasets #3:  85%|████████▍ | 3210/3786 [01:48<00:15, 36.92ex/s]
preprocess datasets #0:  32%|███▏      | 1219/3786 [01:48<03:37, 11.81ex/s]


preprocess datasets #2:  82%|████████▏ | 3117/3786 [01:48<00:15, 42.01ex/s]



preprocess datasets #3:  85%|████████▍ | 3215/3786 [01:48<00:14, 40.23ex/s]




preprocess datasets #4:  85%|████████▌ | 3231/3785 [01:48<00:22, 24.89ex/s]

preprocess datasets #1:  32%|███▏      | 1200/3786 [01:48<04:16, 10.06ex/s]


preprocess datasets #2:  82%|████████▏ | 3122/3786 [01:48<00:17, 36.95ex/s]
preprocess datasets #0:  32%|███▏      | 1221/3786 [01:48<03:58, 10.74ex/s]




preprocess datasets #4:  85%|████████▌ | 3234/3785 [01:48<00:22, 24.34ex/s]



preprocess datasets #3:  85%|████████▌ | 3220/3786 [01:48<00:16, 34.51ex/s]

preprocess datasets #1:  32%|███▏      | 1202/3786 [01:48<04:10, 10.30ex/s]


preprocess datasets #2:  83%|████████▎ | 3126/3786 [01:48<00:19, 33.70ex/s]




preprocess datasets #4:  86%|████████▌ | 3237/3785 [01:48<00:21, 25.18ex/s]



preprocess datasets #3:  85%|████████▌ | 3225/3786 [01:48<00:15, 37.28ex/s]
preprocess datasets #0:  32%|███▏      | 1223/3786 [01:48<03:50, 11.14ex/s]


preprocess datasets #2:  83%|████████▎ | 3130/3786 [01:48<00:19, 32.91ex/s]

preprocess datasets #1:  32%|███▏      | 1204/3786 [01:48<04:04, 10.57ex/s]




preprocess datasets #4:  86%|████████▌ | 3241/3785 [01:48<00:20, 26.74ex/s]



preprocess datasets #3:  85%|████████▌ | 3229/3786 [01:48<00:15, 36.27ex/s]
preprocess datasets #0:  32%|███▏      | 1225/3786 [01:49<03:56, 10.85ex/s]




preprocess datasets #4:  86%|████████▌ | 3244/3785 [01:49<00:20, 26.38ex/s]


preprocess datasets #2:  83%|████████▎ | 3135/3786 [01:49<00:18, 34.36ex/s]



preprocess datasets #3:  85%|████████▌ | 3233/3786 [01:49<00:16, 33.81ex/s]

preprocess datasets #1:  32%|███▏      | 1206/3786 [01:49<04:11, 10.24ex/s]




preprocess datasets #4:  86%|████████▌ | 3247/3785 [01:49<00:20, 26.82ex/s]


preprocess datasets #2:  83%|████████▎ | 3139/3786 [01:49<00:19, 32.77ex/s]
preprocess datasets #0:  32%|███▏      | 1227/3786 [01:49<03:49, 11.15ex/s]



preprocess datasets #3:  85%|████████▌ | 3237/3786 [01:49<00:16, 33.01ex/s]




preprocess datasets #4:  86%|████████▌ | 3250/3785 [01:49<00:20, 25.50ex/s]


preprocess datasets #2:  83%|████████▎ | 3143/3786 [01:49<00:18, 34.37ex/s]



preprocess datasets #3:  86%|████████▌ | 3242/3786 [01:49<00:15, 34.16ex/s]

preprocess datasets #1:  32%|███▏      | 1208/3786 [01:49<04:17,  9.99ex/s]
preprocess datasets #0:  32%|███▏      | 1229/3786 [01:49<03:37, 11.75ex/s]




preprocess datasets #4:  86%|████████▌ | 3253/3785 [01:49<00:20, 26.33ex/s]


preprocess datasets #2:  83%|████████▎ | 3148/3786 [01:49<00:17, 37.25ex/s]

preprocess datasets #1:  32%|███▏      | 1210/3786 [01:49<03:59, 10.74ex/s]


preprocess datasets #2:  83%|████████▎ | 3154/3786 [01:49<00:14, 43.10ex/s]




preprocess datasets #4:  86%|████████▌ | 3258/3785 [01:49<00:17, 29.43ex/s]



preprocess datasets #3:  86%|████████▌ | 3246/3786 [01:49<00:18, 28.50ex/s]
preprocess datasets #0:  33%|███▎      | 1231/3786 [01:49<04:01, 10.58ex/s]


preprocess datasets #2:  83%|████████▎ | 3161/3786 [01:49<00:12, 48.91ex/s]



preprocess datasets #3:  86%|████████▌ | 3250/3786 [01:49<00:17, 30.49ex/s]




preprocess datasets #4:  86%|████████▌ | 3261/3785 [01:49<00:18, 28.45ex/s]

preprocess datasets #1:  32%|███▏      | 1212/3786 [01:49<03:51, 11.12ex/s]
preprocess datasets #0:  33%|███▎      | 1233/3786 [01:49<03:39, 11.64ex/s]




preprocess datasets #4:  86%|████████▋ | 3266/3785 [01:49<00:15, 32.94ex/s]



preprocess datasets #3:  86%|████████▌ | 3254/3786 [01:49<00:16, 31.29ex/s]


preprocess datasets #2:  84%|████████▎ | 3167/3786 [01:49<00:14, 41.90ex/s]
preprocess datasets #0:  33%|███▎      | 1235/3786 [01:49<03:23, 12.55ex/s]



preprocess datasets #3:  86%|████████▌ | 3259/3786 [01:49<00:15, 34.44ex/s]




preprocess datasets #4:  86%|████████▋ | 3270/3785 [01:49<00:16, 31.45ex/s]

preprocess datasets #1:  32%|███▏      | 1214/3786 [01:49<04:14, 10.09ex/s]
preprocess datasets #0:  33%|███▎      | 1237/3786 [01:50<03:15, 13.01ex/s]



preprocess datasets #3:  86%|████████▌ | 3263/3786 [01:49<00:14, 35.67ex/s]


preprocess datasets #2:  84%|████████▍ | 3172/3786 [01:50<00:17, 35.90ex/s]




preprocess datasets #4:  86%|████████▋ | 3274/3785 [01:50<00:15, 32.29ex/s]

preprocess datasets #1:  32%|███▏      | 1216/3786 [01:50<04:11, 10.23ex/s]


preprocess datasets #2:  84%|████████▍ | 3177/3786 [01:50<00:16, 36.29ex/s]



preprocess datasets #3:  86%|████████▋ | 3267/3786 [01:50<00:15, 32.89ex/s]




preprocess datasets #4:  87%|████████▋ | 3278/3785 [01:50<00:15, 32.58ex/s]
preprocess datasets #0:  33%|███▎      | 1239/3786 [01:50<03:30, 12.13ex/s]



preprocess datasets #3:  86%|████████▋ | 3271/3786 [01:50<00:16, 31.39ex/s]




preprocess datasets #4:  87%|████████▋ | 3282/3785 [01:50<00:16, 31.07ex/s]


preprocess datasets #2:  84%|████████▍ | 3181/3786 [01:50<00:19, 31.81ex/s]

preprocess datasets #1:  32%|███▏      | 1218/3786 [01:50<04:22,  9.79ex/s]
preprocess datasets #0:  33%|███▎      | 1241/3786 [01:50<03:24, 12.47ex/s]

preprocess datasets #1:  32%|███▏      | 1219/3786 [01:50<04:22,  9.80ex/s]




preprocess datasets #4:  87%|████████▋ | 3286/3785 [01:50<00:16, 29.97ex/s]



preprocess datasets #3:  87%|████████▋ | 3275/3786 [01:50<00:17, 28.55ex/s]


preprocess datasets #2:  84%|████████▍ | 3185/3786 [01:50<00:19, 30.39ex/s]
preprocess datasets #0:  33%|███▎      | 1243/3786 [01:50<03:38, 11.65ex/s]

preprocess datasets #1:  32%|███▏      | 1221/3786 [01:50<03:46, 11.30ex/s]



preprocess datasets #3:  87%|████████▋ | 3279/3786 [01:50<00:17, 28.34ex/s]


preprocess datasets #2:  84%|████████▍ | 3189/3786 [01:50<00:20, 28.89ex/s]




preprocess datasets #4:  87%|████████▋ | 3290/3785 [01:50<00:18, 26.18ex/s]
preprocess datasets #0:  33%|███▎      | 1245/3786 [01:50<03:18, 12.77ex/s]

preprocess datasets #1:  32%|███▏      | 1223/3786 [01:50<03:25, 12.47ex/s]



preprocess datasets #3:  87%|████████▋ | 3283/3786 [01:50<00:17, 28.59ex/s]




preprocess datasets #4:  87%|████████▋ | 3293/3785 [01:50<00:18, 26.80ex/s]


preprocess datasets #2:  84%|████████▍ | 3192/3786 [01:50<00:21, 27.49ex/s]




preprocess datasets #4:  87%|████████▋ | 3296/3785 [01:50<00:18, 26.78ex/s]


preprocess datasets #2:  84%|████████▍ | 3196/3786 [01:50<00:19, 29.51ex/s]



preprocess datasets #3:  87%|████████▋ | 3287/3786 [01:50<00:16, 29.35ex/s]
preprocess datasets #0:  33%|███▎      | 1247/3786 [01:50<03:57, 10.70ex/s]

preprocess datasets #1:  32%|███▏      | 1225/3786 [01:50<04:01, 10.61ex/s]




preprocess datasets #4:  87%|████████▋ | 3299/3785 [01:50<00:18, 26.76ex/s]



preprocess datasets #3:  87%|████████▋ | 3290/3786 [01:50<00:17, 28.06ex/s]


preprocess datasets #2:  85%|████████▍ | 3200/3786 [01:51<00:19, 29.61ex/s]




preprocess datasets #4:  87%|████████▋ | 3302/3785 [01:51<00:17, 27.08ex/s]

preprocess datasets #1:  32%|███▏      | 1227/3786 [01:51<04:03, 10.51ex/s]
preprocess datasets #0:  33%|███▎      | 1249/3786 [01:51<04:13, 10.02ex/s]


preprocess datasets #2:  85%|████████▍ | 3204/3786 [01:51<00:20, 28.87ex/s]



preprocess datasets #3:  87%|████████▋ | 3294/3786 [01:51<00:18, 26.62ex/s]




preprocess datasets #4:  87%|████████▋ | 3306/3785 [01:51<00:17, 26.75ex/s]

preprocess datasets #1:  32%|███▏      | 1229/3786 [01:51<03:39, 11.63ex/s]



preprocess datasets #3:  87%|████████▋ | 3298/3786 [01:51<00:16, 29.39ex/s]


preprocess datasets #2:  85%|████████▍ | 3208/3786 [01:51<00:19, 30.23ex/s]
preprocess datasets #0:  33%|███▎      | 1251/3786 [01:51<04:09, 10.14ex/s]



preprocess datasets #3:  87%|████████▋ | 3302/3786 [01:51<00:16, 29.97ex/s]




preprocess datasets #4:  87%|████████▋ | 3311/3785 [01:51<00:16, 28.00ex/s]

preprocess datasets #1:  33%|███▎      | 1231/3786 [01:51<03:28, 12.27ex/s]


preprocess datasets #2:  85%|████████▍ | 3212/3786 [01:51<00:20, 28.20ex/s]



preprocess datasets #3:  87%|████████▋ | 3306/3786 [01:51<00:14, 32.33ex/s]
preprocess datasets #0:  33%|███▎      | 1253/3786 [01:51<04:03, 10.42ex/s]

preprocess datasets #1:  33%|███▎      | 1234/3786 [01:51<02:48, 15.14ex/s]




preprocess datasets #4:  88%|████████▊ | 3314/3785 [01:51<00:18, 26.01ex/s]


preprocess datasets #2:  85%|████████▍ | 3215/3786 [01:51<00:21, 26.82ex/s]



preprocess datasets #3:  87%|████████▋ | 3311/3786 [01:51<00:13, 34.62ex/s]
preprocess datasets #0:  33%|███▎      | 1255/3786 [01:51<03:41, 11.43ex/s]


preprocess datasets #2:  85%|████████▌ | 3219/3786 [01:51<00:18, 29.89ex/s]

preprocess datasets #1:  33%|███▎      | 1236/3786 [01:51<02:47, 15.22ex/s]




preprocess datasets #4:  88%|████████▊ | 3318/3785 [01:51<00:18, 25.87ex/s]



preprocess datasets #3:  88%|████████▊ | 3315/3786 [01:51<00:14, 32.69ex/s]


preprocess datasets #2:  85%|████████▌ | 3224/3786 [01:51<00:16, 33.93ex/s]




preprocess datasets #4:  88%|████████▊ | 3321/3785 [01:51<00:17, 26.78ex/s]

preprocess datasets #1:  33%|███▎      | 1238/3786 [01:51<02:53, 14.66ex/s]
preprocess datasets #0:  33%|███▎      | 1257/3786 [01:51<03:37, 11.60ex/s]



preprocess datasets #3:  88%|████████▊ | 3319/3786 [01:51<00:13, 34.29ex/s]


preprocess datasets #2:  85%|████████▌ | 3230/3786 [01:51<00:14, 38.93ex/s]




preprocess datasets #4:  88%|████████▊ | 3324/3785 [01:51<00:18, 25.44ex/s]
preprocess datasets #0:  33%|███▎      | 1259/3786 [01:52<03:31, 11.97ex/s]



preprocess datasets #3:  88%|████████▊ | 3325/3786 [01:52<00:12, 36.21ex/s]


preprocess datasets #2:  85%|████████▌ | 3235/3786 [01:52<00:14, 38.69ex/s]




preprocess datasets #4:  88%|████████▊ | 3327/3785 [01:52<00:17, 25.82ex/s]

preprocess datasets #1:  33%|███▎      | 1240/3786 [01:52<03:38, 11.67ex/s]
preprocess datasets #0:  33%|███▎      | 1261/3786 [01:52<03:15, 12.93ex/s]



preprocess datasets #3:  88%|████████▊ | 3330/3786 [01:52<00:11, 38.18ex/s]


preprocess datasets #2:  86%|████████▌ | 3239/3786 [01:52<00:14, 38.21ex/s]




preprocess datasets #4:  88%|████████▊ | 3332/3785 [01:52<00:16, 27.69ex/s]



preprocess datasets #3:  88%|████████▊ | 3334/3786 [01:52<00:11, 38.07ex/s]

preprocess datasets #1:  33%|███▎      | 1242/3786 [01:52<03:46, 11.24ex/s]


preprocess datasets #2:  86%|████████▌ | 3243/3786 [01:52<00:15, 34.07ex/s]




preprocess datasets #4:  88%|████████▊ | 3337/3785 [01:52<00:13, 32.63ex/s]
preprocess datasets #0:  33%|███▎      | 1263/3786 [01:52<03:43, 11.28ex/s]



preprocess datasets #3:  88%|████████▊ | 3340/3786 [01:52<00:11, 38.97ex/s]

preprocess datasets #1:  33%|███▎      | 1244/3786 [01:52<03:32, 11.95ex/s]


preprocess datasets #2:  86%|████████▌ | 3247/3786 [01:52<00:17, 31.69ex/s]




preprocess datasets #4:  88%|████████▊ | 3342/3785 [01:52<00:13, 33.65ex/s]



preprocess datasets #3:  88%|████████▊ | 3345/3786 [01:52<00:11, 39.34ex/s]


preprocess datasets #2:  86%|████████▌ | 3251/3786 [01:52<00:15, 33.54ex/s]




preprocess datasets #4:  88%|████████▊ | 3346/3785 [01:52<00:13, 31.40ex/s]

preprocess datasets #1:  33%|███▎      | 1246/3786 [01:52<03:41, 11.48ex/s]



preprocess datasets #3:  88%|████████▊ | 3349/3786 [01:52<00:11, 38.81ex/s]
preprocess datasets #0:  33%|███▎      | 1267/3786 [01:52<03:22, 12.47ex/s]


preprocess datasets #2:  86%|████████▌ | 3255/3786 [01:52<00:17, 30.27ex/s]




preprocess datasets #4:  89%|████████▊ | 3352/3785 [01:52<00:12, 35.07ex/s]



preprocess datasets #3:  89%|████████▊ | 3353/3786 [01:52<00:12, 35.54ex/s]


preprocess datasets #2:  86%|████████▌ | 3259/3786 [01:52<00:16, 31.68ex/s]

preprocess datasets #1:  33%|███▎      | 1248/3786 [01:52<03:58, 10.64ex/s]
preprocess datasets #0:  34%|███▎      | 1269/3786 [01:52<03:36, 11.62ex/s]



preprocess datasets #3:  89%|████████▊ | 3357/3786 [01:52<00:12, 34.52ex/s]




preprocess datasets #4:  89%|████████▊ | 3356/3785 [01:52<00:13, 32.07ex/s]


preprocess datasets #2:  86%|████████▌ | 3263/3786 [01:52<00:16, 32.45ex/s]

preprocess datasets #1:  33%|███▎      | 1250/3786 [01:52<03:42, 11.38ex/s]



preprocess datasets #3:  89%|████████▉ | 3361/3786 [01:52<00:11, 35.53ex/s]
preprocess datasets #0:  34%|███▎      | 1271/3786 [01:53<03:41, 11.36ex/s]




preprocess datasets #4:  89%|████████▉ | 3362/3785 [01:53<00:11, 36.28ex/s]


preprocess datasets #2:  86%|████████▋ | 3267/3786 [01:53<00:18, 28.23ex/s]



preprocess datasets #3:  89%|████████▉ | 3365/3786 [01:53<00:12, 33.65ex/s]




preprocess datasets #4:  89%|████████▉ | 3367/3785 [01:53<00:10, 39.09ex/s]

preprocess datasets #1:  33%|███▎      | 1252/3786 [01:53<03:37, 11.66ex/s]


preprocess datasets #2:  86%|████████▋ | 3271/3786 [01:53<00:16, 30.52ex/s]




preprocess datasets #4:  89%|████████▉ | 3372/3785 [01:53<00:10, 39.92ex/s]



preprocess datasets #3:  89%|████████▉ | 3369/3786 [01:53<00:12, 32.45ex/s]

preprocess datasets #1:  33%|███▎      | 1254/3786 [01:53<03:19, 12.71ex/s]
preprocess datasets #0:  34%|███▎      | 1273/3786 [01:53<04:04, 10.27ex/s]


preprocess datasets #2:  87%|████████▋ | 3275/3786 [01:53<00:15, 32.19ex/s]



preprocess datasets #3:  89%|████████▉ | 3373/3786 [01:53<00:12, 33.21ex/s]




preprocess datasets #4:  89%|████████▉ | 3377/3785 [01:53<00:10, 38.99ex/s]
preprocess datasets #0:  34%|███▎      | 1275/3786 [01:53<03:44, 11.18ex/s]

preprocess datasets #1:  33%|███▎      | 1256/3786 [01:53<03:20, 12.62ex/s]


preprocess datasets #2:  87%|████████▋ | 3279/3786 [01:53<00:15, 33.68ex/s]



preprocess datasets #3:  89%|████████▉ | 3377/3786 [01:53<00:12, 33.18ex/s]

preprocess datasets #1:  33%|███▎      | 1258/3786 [01:53<03:20, 12.63ex/s]


preprocess datasets #2:  87%|████████▋ | 3283/3786 [01:53<00:15, 31.96ex/s]
preprocess datasets #0:  34%|███▎      | 1277/3786 [01:53<04:05, 10.22ex/s]




preprocess datasets #4:  89%|████████▉ | 3381/3785 [01:53<00:14, 27.95ex/s]



preprocess datasets #3:  89%|████████▉ | 3381/3786 [01:53<00:13, 30.48ex/s]


preprocess datasets #2:  87%|████████▋ | 3287/3786 [01:53<00:14, 33.27ex/s]



preprocess datasets #3:  89%|████████▉ | 3385/3786 [01:53<00:12, 31.73ex/s]

preprocess datasets #1:  33%|███▎      | 1260/3786 [01:53<03:32, 11.89ex/s]




preprocess datasets #4:  89%|████████▉ | 3385/3785 [01:53<00:14, 27.69ex/s]
preprocess datasets #0:  34%|███▍      | 1279/3786 [01:53<04:02, 10.33ex/s]


preprocess datasets #2:  87%|████████▋ | 3291/3786 [01:53<00:16, 30.82ex/s]



preprocess datasets #3:  90%|████████▉ | 3389/3786 [01:53<00:12, 32.90ex/s]




preprocess datasets #4:  90%|████████▉ | 3389/3785 [01:53<00:13, 29.91ex/s]

preprocess datasets #1:  33%|███▎      | 1262/3786 [01:53<03:42, 11.36ex/s]



preprocess datasets #3:  90%|████████▉ | 3393/3786 [01:53<00:11, 33.55ex/s]


preprocess datasets #2:  87%|████████▋ | 3295/3786 [01:53<00:16, 29.14ex/s]
preprocess datasets #0:  34%|███▍      | 1281/3786 [01:54<04:03, 10.27ex/s]

preprocess datasets #1:  33%|███▎      | 1264/3786 [01:54<03:16, 12.83ex/s]


preprocess datasets #2:  87%|████████▋ | 3298/3786 [01:54<00:17, 28.69ex/s]




preprocess datasets #4:  90%|████████▉ | 3393/3785 [01:54<00:15, 25.39ex/s]
preprocess datasets #0:  34%|███▍      | 1283/3786 [01:54<03:34, 11.65ex/s]



preprocess datasets #3:  90%|████████▉ | 3397/3786 [01:54<00:12, 30.82ex/s]




preprocess datasets #4:  90%|████████▉ | 3396/3785 [01:54<00:14, 26.11ex/s]


preprocess datasets #2:  87%|████████▋ | 3301/3786 [01:54<00:17, 27.05ex/s]

preprocess datasets #1:  33%|███▎      | 1266/3786 [01:54<03:19, 12.63ex/s]



preprocess datasets #3:  90%|████████▉ | 3401/3786 [01:54<00:11, 32.32ex/s]
preprocess datasets #0:  34%|███▍      | 1285/3786 [01:54<03:44, 11.12ex/s]



preprocess datasets #3:  90%|████████▉ | 3405/3786 [01:54<00:11, 33.82ex/s]




preprocess datasets #4:  90%|████████▉ | 3400/3785 [01:54<00:14, 26.85ex/s]


preprocess datasets #2:  87%|████████▋ | 3305/3786 [01:54<00:17, 27.79ex/s]

preprocess datasets #1:  33%|███▎      | 1268/3786 [01:54<03:16, 12.82ex/s]


preprocess datasets #2:  87%|████████▋ | 3311/3786 [01:54<00:14, 33.16ex/s]




preprocess datasets #4:  90%|████████▉ | 3405/3785 [01:54<00:13, 29.12ex/s]



preprocess datasets #3:  90%|█████████ | 3409/3786 [01:54<00:12, 30.63ex/s]

preprocess datasets #1:  34%|███▎      | 1270/3786 [01:54<03:25, 12.23ex/s]
preprocess datasets #0:  34%|███▍      | 1287/3786 [01:54<04:07, 10.11ex/s]


preprocess datasets #2:  88%|████████▊ | 3315/3786 [01:54<00:15, 29.75ex/s]



preprocess datasets #3:  90%|█████████ | 3414/3786 [01:54<00:11, 31.01ex/s]




preprocess datasets #4:  90%|█████████ | 3409/3785 [01:54<00:14, 26.59ex/s]
preprocess datasets #0:  34%|███▍      | 1289/3786 [01:54<03:55, 10.60ex/s]

preprocess datasets #1:  34%|███▎      | 1272/3786 [01:54<03:43, 11.25ex/s]




preprocess datasets #4:  90%|█████████ | 3412/3785 [01:54<00:13, 27.12ex/s]



preprocess datasets #3:  90%|█████████ | 3418/3786 [01:54<00:13, 27.72ex/s]
preprocess datasets #0:  34%|███▍      | 1291/3786 [01:54<03:33, 11.67ex/s]


preprocess datasets #2:  88%|████████▊ | 3319/3786 [01:54<00:18, 25.15ex/s]




preprocess datasets #4:  90%|█████████ | 3416/3785 [01:54<00:12, 30.08ex/s]

preprocess datasets #1:  34%|███▎      | 1274/3786 [01:54<03:27, 12.11ex/s]
preprocess datasets #0:  34%|███▍      | 1293/3786 [01:55<03:10, 13.06ex/s]



preprocess datasets #3:  90%|█████████ | 3421/3786 [01:54<00:14, 25.59ex/s]




preprocess datasets #4:  90%|█████████ | 3420/3785 [01:54<00:11, 31.19ex/s]


preprocess datasets #2:  88%|████████▊ | 3322/3786 [01:55<00:19, 24.03ex/s]

preprocess datasets #1:  34%|███▎      | 1276/3786 [01:55<03:28, 12.05ex/s]




preprocess datasets #4:  90%|█████████ | 3425/3785 [01:55<00:10, 33.43ex/s]
preprocess datasets #0:  34%|███▍      | 1295/3786 [01:55<03:11, 13.00ex/s]



preprocess datasets #3:  90%|█████████ | 3424/3786 [01:55<00:14, 24.27ex/s]


preprocess datasets #2:  88%|████████▊ | 3325/3786 [01:55<00:20, 22.71ex/s]

preprocess datasets #1:  34%|███▍      | 1278/3786 [01:55<03:11, 13.10ex/s]




preprocess datasets #4:  91%|█████████ | 3430/3785 [01:55<00:09, 36.80ex/s]



preprocess datasets #3:  91%|█████████ | 3427/3786 [01:55<00:15, 22.55ex/s]
preprocess datasets #0:  34%|███▍      | 1297/3786 [01:55<03:25, 12.13ex/s]


preprocess datasets #2:  88%|████████▊ | 3328/3786 [01:55<00:22, 20.53ex/s]

preprocess datasets #1:  34%|███▍      | 1280/3786 [01:55<03:29, 11.95ex/s]




preprocess datasets #4:  91%|█████████ | 3434/3785 [01:55<00:10, 32.17ex/s]



preprocess datasets #3:  91%|█████████ | 3431/3786 [01:55<00:13, 25.73ex/s]
preprocess datasets #0:  34%|███▍      | 1299/3786 [01:55<03:28, 11.91ex/s]


preprocess datasets #2:  88%|████████▊ | 3331/3786 [01:55<00:22, 20.49ex/s]

preprocess datasets #1:  34%|███▍      | 1282/3786 [01:55<03:15, 12.81ex/s]



preprocess datasets #3:  91%|█████████ | 3435/3786 [01:55<00:12, 27.45ex/s]




preprocess datasets #4:  91%|█████████ | 3438/3785 [01:55<00:11, 30.50ex/s]


preprocess datasets #2:  88%|████████▊ | 3334/3786 [01:55<00:20, 22.49ex/s]
preprocess datasets #0:  34%|███▍      | 1301/3786 [01:55<03:22, 12.30ex/s]




preprocess datasets #4:  91%|█████████ | 3442/3785 [01:55<00:10, 31.40ex/s]



preprocess datasets #3:  91%|█████████ | 3438/3786 [01:55<00:13, 25.10ex/s]


preprocess datasets #2:  88%|████████▊ | 3337/3786 [01:55<00:19, 23.34ex/s]




preprocess datasets #4:  91%|█████████ | 3447/3785 [01:55<00:09, 34.76ex/s]

preprocess datasets #1:  34%|███▍      | 1284/3786 [01:55<04:03, 10.28ex/s]


preprocess datasets #2:  88%|████████▊ | 3340/3786 [01:55<00:18, 24.65ex/s]



preprocess datasets #3:  91%|█████████ | 3441/3786 [01:55<00:15, 22.74ex/s]
preprocess datasets #0:  34%|███▍      | 1304/3786 [01:55<03:07, 13.24ex/s]


preprocess datasets #2:  88%|████████▊ | 3343/3786 [01:55<00:17, 25.61ex/s]




preprocess datasets #4:  91%|█████████ | 3451/3785 [01:55<00:10, 31.45ex/s]

preprocess datasets #1:  34%|███▍      | 1286/3786 [01:55<03:41, 11.27ex/s]



preprocess datasets #3:  91%|█████████ | 3446/3786 [01:55<00:12, 26.56ex/s]
preprocess datasets #0:  34%|███▍      | 1306/3786 [01:56<03:25, 12.04ex/s]

preprocess datasets #1:  34%|███▍      | 1288/3786 [01:56<03:16, 12.70ex/s]


preprocess datasets #2:  88%|████████▊ | 3347/3786 [01:56<00:16, 26.65ex/s]




preprocess datasets #4:  91%|█████████▏| 3455/3785 [01:56<00:11, 28.82ex/s]



preprocess datasets #3:  91%|█████████ | 3450/3786 [01:56<00:12, 28.00ex/s]


preprocess datasets #2:  89%|████████▊ | 3351/3786 [01:56<00:15, 28.43ex/s]
preprocess datasets #0:  35%|███▍      | 1308/3786 [01:56<03:20, 12.34ex/s]



preprocess datasets #3:  91%|█████████ | 3453/3786 [01:56<00:12, 27.68ex/s]




preprocess datasets #4:  91%|█████████▏| 3459/3785 [01:56<00:10, 30.03ex/s]

preprocess datasets #1:  34%|███▍      | 1290/3786 [01:56<03:34, 11.62ex/s]


preprocess datasets #2:  89%|████████▊ | 3356/3786 [01:56<00:13, 32.95ex/s]



preprocess datasets #3:  91%|█████████▏| 3457/3786 [01:56<00:11, 29.63ex/s]




preprocess datasets #4:  91%|█████████▏| 3463/3785 [01:56<00:10, 31.12ex/s]
preprocess datasets #0:  35%|███▍      | 1310/3786 [01:56<03:18, 12.47ex/s]

preprocess datasets #1:  34%|███▍      | 1292/3786 [01:56<03:29, 11.90ex/s]


preprocess datasets #2:  89%|████████▉ | 3362/3786 [01:56<00:11, 37.26ex/s]



preprocess datasets #3:  91%|█████████▏| 3461/3786 [01:56<00:10, 31.75ex/s]




preprocess datasets #4:  92%|█████████▏| 3467/3785 [01:56<00:10, 30.25ex/s]
preprocess datasets #0:  35%|███▍      | 1312/3786 [01:56<03:09, 13.05ex/s]


preprocess datasets #2:  89%|████████▉ | 3366/3786 [01:56<00:11, 35.08ex/s]



preprocess datasets #3:  92%|█████████▏| 3465/3786 [01:56<00:10, 30.28ex/s]




preprocess datasets #4:  92%|█████████▏| 3471/3785 [01:56<00:10, 30.30ex/s]

preprocess datasets #1:  34%|███▍      | 1294/3786 [01:56<03:53, 10.68ex/s]
preprocess datasets #0:  35%|███▍      | 1314/3786 [01:56<03:14, 12.72ex/s]




preprocess datasets #4:  92%|█████████▏| 3476/3785 [01:56<00:09, 34.23ex/s]



preprocess datasets #3:  92%|█████████▏| 3469/3786 [01:56<00:10, 29.42ex/s]


preprocess datasets #2:  89%|████████▉ | 3370/3786 [01:56<00:13, 30.89ex/s]




preprocess datasets #4:  92%|█████████▏| 3480/3785 [01:56<00:08, 34.09ex/s]
preprocess datasets #0:  35%|███▍      | 1316/3786 [01:56<03:32, 11.60ex/s]



preprocess datasets #3:  92%|█████████▏| 3473/3786 [01:56<00:10, 28.87ex/s]

preprocess datasets #1:  34%|███▍      | 1296/3786 [01:56<04:08, 10.04ex/s]


preprocess datasets #2:  89%|████████▉ | 3374/3786 [01:56<00:14, 29.27ex/s]




preprocess datasets #4:  92%|█████████▏| 3484/3785 [01:56<00:09, 32.43ex/s]



preprocess datasets #3:  92%|█████████▏| 3476/3786 [01:57<00:11, 26.13ex/s]


preprocess datasets #2:  89%|████████▉ | 3378/3786 [01:57<00:14, 28.61ex/s]
preprocess datasets #0:  35%|███▍      | 1318/3786 [01:57<03:40, 11.19ex/s]

preprocess datasets #1:  34%|███▍      | 1299/3786 [01:57<03:38, 11.37ex/s]


preprocess datasets #2:  89%|████████▉ | 3381/3786 [01:57<00:14, 28.86ex/s]




preprocess datasets #4:  92%|█████████▏| 3488/3785 [01:57<00:10, 28.74ex/s]



preprocess datasets #3:  92%|█████████▏| 3479/3786 [01:57<00:12, 24.82ex/s]
preprocess datasets #0:  35%|███▍      | 1320/3786 [01:57<03:36, 11.41ex/s]


preprocess datasets #2:  89%|████████▉ | 3385/3786 [01:57<00:12, 31.58ex/s]

preprocess datasets #1:  34%|███▍      | 1301/3786 [01:57<03:38, 11.39ex/s]




preprocess datasets #4:  92%|█████████▏| 3492/3785 [01:57<00:10, 28.60ex/s]



preprocess datasets #3:  92%|█████████▏| 3482/3786 [01:57<00:13, 22.91ex/s]


preprocess datasets #2:  90%|████████▉ | 3389/3786 [01:57<00:13, 29.77ex/s]
preprocess datasets #0:  35%|███▍      | 1322/3786 [01:57<03:36, 11.37ex/s]




preprocess datasets #4:  92%|█████████▏| 3495/3785 [01:57<00:11, 26.04ex/s]



preprocess datasets #3:  92%|█████████▏| 3485/3786 [01:57<00:13, 22.61ex/s]

preprocess datasets #1:  34%|███▍      | 1303/3786 [01:57<04:08, 10.00ex/s]


preprocess datasets #2:  90%|████████▉ | 3393/3786 [01:57<00:13, 28.48ex/s]




preprocess datasets #4:  92%|█████████▏| 3498/3785 [01:57<00:11, 26.03ex/s]



preprocess datasets #3:  92%|█████████▏| 3489/3786 [01:57<00:11, 25.93ex/s]
preprocess datasets #0:  35%|███▍      | 1324/3786 [01:57<03:47, 10.83ex/s]



preprocess datasets #3:  92%|█████████▏| 3493/3786 [01:57<00:10, 28.87ex/s]


preprocess datasets #2:  90%|████████▉ | 3396/3786 [01:57<00:14, 26.61ex/s]




preprocess datasets #4:  92%|█████████▏| 3501/3785 [01:57<00:11, 24.78ex/s]

preprocess datasets #1:  34%|███▍      | 1305/3786 [01:57<04:12,  9.84ex/s]


preprocess datasets #2:  90%|████████▉ | 3400/3786 [01:57<00:12, 29.73ex/s]
preprocess datasets #0:  35%|███▌      | 1326/3786 [01:57<03:46, 10.87ex/s]




preprocess datasets #4:  93%|█████████▎| 3504/3785 [01:57<00:11, 25.37ex/s]



preprocess datasets #3:  92%|█████████▏| 3496/3786 [01:57<00:10, 26.38ex/s]

preprocess datasets #1:  35%|███▍      | 1307/3786 [01:57<03:51, 10.71ex/s]


preprocess datasets #2:  90%|████████▉ | 3405/3786 [01:57<00:11, 34.38ex/s]




preprocess datasets #4:  93%|█████████▎| 3507/3785 [01:57<00:10, 25.82ex/s]



preprocess datasets #3:  92%|█████████▏| 3499/3786 [01:57<00:10, 26.85ex/s]
preprocess datasets #0:  35%|███▌      | 1328/3786 [01:57<03:39, 11.21ex/s]


preprocess datasets #2:  90%|█████████ | 3409/3786 [01:58<00:10, 35.21ex/s]

preprocess datasets #1:  35%|███▍      | 1309/3786 [01:58<03:36, 11.46ex/s]




preprocess datasets #4:  93%|█████████▎| 3510/3785 [01:58<00:10, 26.12ex/s]



preprocess datasets #3:  93%|█████████▎| 3503/3786 [01:58<00:09, 28.56ex/s]


preprocess datasets #2:  90%|█████████ | 3413/3786 [01:58<00:10, 34.69ex/s]
preprocess datasets #0:  35%|███▌      | 1330/3786 [01:58<03:41, 11.09ex/s]



preprocess datasets #3:  93%|█████████▎| 3506/3786 [01:58<00:10, 27.52ex/s]




preprocess datasets #4:  93%|█████████▎| 3514/3785 [01:58<00:10, 25.98ex/s]

preprocess datasets #1:  35%|███▍      | 1311/3786 [01:58<03:35, 11.47ex/s]


preprocess datasets #2:  90%|█████████ | 3418/3786 [01:58<00:09, 38.79ex/s]



preprocess datasets #3:  93%|█████████▎| 3510/3786 [01:58<00:09, 30.48ex/s]




preprocess datasets #4:  93%|█████████▎| 3517/3785 [01:58<00:10, 25.47ex/s]


preprocess datasets #2:  90%|█████████ | 3422/3786 [01:58<00:10, 33.30ex/s]



preprocess datasets #3:  93%|█████████▎| 3514/3786 [01:58<00:09, 29.32ex/s]




preprocess datasets #4:  93%|█████████▎| 3522/3785 [01:58<00:08, 29.48ex/s]
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preprocess datasets #1:  35%|███▍      | 1313/3786 [01:58<04:12,  9.79ex/s]



preprocess datasets #3:  93%|█████████▎| 3518/3786 [01:58<00:08, 30.01ex/s]


preprocess datasets #2:  90%|█████████ | 3426/3786 [01:58<00:12, 29.03ex/s]




preprocess datasets #4:  93%|█████████▎| 3526/3785 [01:58<00:08, 30.74ex/s]
preprocess datasets #0:  35%|███▌      | 1333/3786 [01:58<04:33,  8.98ex/s]

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preprocess datasets #4:  93%|█████████▎| 3530/3785 [01:58<00:08, 30.84ex/s]


preprocess datasets #2:  91%|█████████ | 3430/3786 [01:58<00:12, 29.33ex/s]



preprocess datasets #3:  93%|█████████▎| 3522/3786 [01:58<00:09, 27.77ex/s]
preprocess datasets #0:  35%|███▌      | 1335/3786 [01:58<04:08,  9.86ex/s]

preprocess datasets #1:  35%|███▍      | 1317/3786 [01:58<03:44, 11.01ex/s]


preprocess datasets #2:  91%|█████████ | 3434/3786 [01:58<00:11, 30.14ex/s]




preprocess datasets #4:  93%|█████████▎| 3534/3785 [01:58<00:08, 31.15ex/s]



preprocess datasets #3:  93%|█████████▎| 3525/3786 [01:58<00:10, 23.81ex/s]
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preprocess datasets #4:  93%|█████████▎| 3538/3785 [01:58<00:08, 29.94ex/s]


preprocess datasets #2:  91%|█████████ | 3438/3786 [01:58<00:12, 28.52ex/s]



preprocess datasets #3:  93%|█████████▎| 3528/3786 [01:59<00:11, 22.98ex/s]

preprocess datasets #1:  35%|███▍      | 1319/3786 [01:59<04:09,  9.90ex/s]


preprocess datasets #2:  91%|█████████ | 3441/3786 [01:59<00:12, 27.09ex/s]
preprocess datasets #0:  35%|███▌      | 1339/3786 [01:59<04:01, 10.13ex/s]




preprocess datasets #4:  94%|█████████▎| 3542/3785 [01:59<00:08, 27.69ex/s]



preprocess datasets #3:  93%|█████████▎| 3532/3786 [01:59<00:09, 26.08ex/s]


preprocess datasets #2:  91%|█████████ | 3444/3786 [01:59<00:12, 27.07ex/s]

preprocess datasets #1:  35%|███▍      | 1321/3786 [01:59<04:12,  9.78ex/s]




preprocess datasets #4:  94%|█████████▎| 3546/3785 [01:59<00:08, 28.06ex/s]
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preprocess datasets #3:  93%|█████████▎| 3535/3786 [01:59<00:10, 23.63ex/s]


preprocess datasets #2:  91%|█████████ | 3447/3786 [01:59<00:13, 25.91ex/s]




preprocess datasets #4:  94%|█████████▍| 3549/3785 [01:59<00:08, 27.55ex/s]



preprocess datasets #3:  93%|█████████▎| 3538/3786 [01:59<00:09, 24.80ex/s]

preprocess datasets #1:  35%|███▍      | 1323/3786 [01:59<04:10,  9.85ex/s]
preprocess datasets #0:  35%|███▌      | 1343/3786 [01:59<03:38, 11.18ex/s]


preprocess datasets #2:  91%|█████████ | 3451/3786 [01:59<00:12, 27.52ex/s]




preprocess datasets #4:  94%|█████████▍| 3552/3785 [01:59<00:08, 27.83ex/s]



preprocess datasets #3:  94%|█████████▎| 3543/3786 [01:59<00:08, 30.19ex/s]
preprocess datasets #0:  36%|███▌      | 1345/3786 [01:59<03:21, 12.13ex/s]




preprocess datasets #4:  94%|█████████▍| 3555/3785 [01:59<00:08, 27.72ex/s]

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preprocess datasets #2:  91%|█████████ | 3454/3786 [01:59<00:12, 25.87ex/s]



preprocess datasets #3:  94%|█████████▎| 3549/3786 [01:59<00:06, 36.25ex/s]




preprocess datasets #4:  94%|█████████▍| 3558/3785 [01:59<00:08, 27.59ex/s]


preprocess datasets #2:  91%|█████████▏| 3457/3786 [01:59<00:12, 26.35ex/s]



preprocess datasets #3:  94%|█████████▍| 3555/3786 [01:59<00:05, 39.38ex/s]

preprocess datasets #1:  35%|███▌      | 1327/3786 [01:59<03:50, 10.65ex/s]
preprocess datasets #0:  36%|███▌      | 1347/3786 [01:59<03:35, 11.34ex/s]




preprocess datasets #4:  94%|█████████▍| 3561/3785 [01:59<00:07, 28.04ex/s]


preprocess datasets #2:  91%|█████████▏| 3460/3786 [01:59<00:14, 21.84ex/s]




preprocess datasets #4:  94%|█████████▍| 3564/3785 [01:59<00:07, 27.89ex/s]

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preprocess datasets #3:  94%|█████████▍| 3560/3786 [01:59<00:06, 33.84ex/s]
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preprocess datasets #4:  94%|█████████▍| 3569/3785 [02:00<00:06, 32.22ex/s]


preprocess datasets #2:  91%|█████████▏| 3463/3786 [02:00<00:14, 21.54ex/s]

preprocess datasets #1:  35%|███▌      | 1331/3786 [02:00<03:26, 11.91ex/s]



preprocess datasets #3:  94%|█████████▍| 3564/3786 [02:00<00:07, 30.06ex/s]




preprocess datasets #4:  94%|█████████▍| 3573/3785 [02:00<00:06, 33.04ex/s]


preprocess datasets #2:  92%|█████████▏| 3466/3786 [02:00<00:14, 21.65ex/s]

preprocess datasets #1:  35%|███▌      | 1333/3786 [02:00<03:18, 12.34ex/s]
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preprocess datasets #3:  94%|█████████▍| 3568/3786 [02:00<00:07, 29.19ex/s]




preprocess datasets #4:  95%|█████████▍| 3577/3785 [02:00<00:06, 30.77ex/s]


preprocess datasets #2:  92%|█████████▏| 3469/3786 [02:00<00:16, 19.72ex/s]
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preprocess datasets #4:  95%|█████████▍| 3581/3785 [02:00<00:06, 32.25ex/s]

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preprocess datasets #3:  94%|█████████▍| 3573/3786 [02:00<00:07, 30.18ex/s]


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preprocess datasets #4:  95%|█████████▍| 3585/3785 [02:00<00:05, 34.26ex/s]
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preprocess datasets #3:  94%|█████████▍| 3577/3786 [02:00<00:07, 27.41ex/s]




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preprocess datasets #3:  95%|█████████▍| 3582/3786 [02:00<00:06, 30.80ex/s]


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preprocess datasets #4:  95%|█████████▍| 3594/3785 [02:00<00:05, 32.90ex/s]
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preprocess datasets #3:  95%|█████████▍| 3586/3786 [02:00<00:07, 28.39ex/s]




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preprocess datasets #4:  95%|█████████▌| 3603/3785 [02:01<00:05, 33.59ex/s]


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preprocess datasets #3:  95%|█████████▍| 3592/3786 [02:01<00:07, 27.14ex/s]
preprocess datasets #0:  36%|███▌      | 1360/3786 [02:01<03:44, 10.81ex/s]




preprocess datasets #4:  95%|█████████▌| 3607/3785 [02:01<00:05, 34.72ex/s]

preprocess datasets #1:  36%|███▌      | 1345/3786 [02:01<03:33, 11.46ex/s]



preprocess datasets #3:  95%|█████████▍| 3595/3786 [02:01<00:07, 26.75ex/s]


preprocess datasets #2:  92%|█████████▏| 3492/3786 [02:01<00:11, 25.56ex/s]




preprocess datasets #4:  95%|█████████▌| 3611/3785 [02:01<00:06, 28.91ex/s]



preprocess datasets #3:  95%|█████████▌| 3598/3786 [02:01<00:06, 27.01ex/s]


preprocess datasets #2:  92%|█████████▏| 3495/3786 [02:01<00:11, 26.18ex/s]
preprocess datasets #0:  36%|███▌      | 1362/3786 [02:01<03:57, 10.20ex/s]

preprocess datasets #1:  36%|███▌      | 1347/3786 [02:01<03:33, 11.42ex/s]


preprocess datasets #2:  92%|█████████▏| 3499/3786 [02:01<00:09, 29.76ex/s]



preprocess datasets #3:  95%|█████████▌| 3601/3786 [02:01<00:07, 26.00ex/s]




preprocess datasets #4:  96%|█████████▌| 3615/3785 [02:01<00:06, 27.82ex/s]

preprocess datasets #1:  36%|███▌      | 1349/3786 [02:01<03:24, 11.93ex/s]


preprocess datasets #2:  93%|█████████▎| 3503/3786 [02:01<00:08, 31.99ex/s]



preprocess datasets #3:  95%|█████████▌| 3604/3786 [02:01<00:06, 26.38ex/s]




preprocess datasets #4:  96%|█████████▌| 3618/3785 [02:01<00:05, 28.06ex/s]


preprocess datasets #2:  93%|█████████▎| 3509/3786 [02:01<00:07, 39.35ex/s]




preprocess datasets #4:  96%|█████████▌| 3621/3785 [02:01<00:05, 28.46ex/s]



preprocess datasets #3:  95%|█████████▌| 3609/3786 [02:01<00:05, 30.60ex/s]

preprocess datasets #1:  36%|███▌      | 1351/3786 [02:01<03:30, 11.55ex/s]
preprocess datasets #0:  36%|███▌      | 1364/3786 [02:01<05:11,  7.78ex/s]


preprocess datasets #2:  93%|█████████▎| 3516/3786 [02:01<00:06, 44.84ex/s]




preprocess datasets #4:  96%|█████████▌| 3625/3785 [02:01<00:05, 31.17ex/s]



preprocess datasets #3:  95%|█████████▌| 3613/3786 [02:01<00:06, 27.57ex/s]


preprocess datasets #2:  93%|█████████▎| 3521/3786 [02:01<00:06, 39.96ex/s]
preprocess datasets #0:  36%|███▌      | 1366/3786 [02:02<04:53,  8.24ex/s]

preprocess datasets #1:  36%|███▌      | 1353/3786 [02:02<03:46, 10.74ex/s]




preprocess datasets #4:  96%|█████████▌| 3629/3785 [02:01<00:05, 28.50ex/s]



preprocess datasets #3:  96%|█████████▌| 3616/3786 [02:02<00:06, 26.68ex/s]

preprocess datasets #1:  36%|███▌      | 1355/3786 [02:02<03:22, 12.02ex/s]




preprocess datasets #4:  96%|█████████▌| 3634/3785 [02:02<00:04, 32.90ex/s]


preprocess datasets #2:  93%|█████████▎| 3526/3786 [02:02<00:07, 35.06ex/s]



preprocess datasets #3:  96%|█████████▌| 3619/3786 [02:02<00:06, 25.38ex/s]
preprocess datasets #0:  36%|███▌      | 1368/3786 [02:02<04:35,  8.77ex/s]




preprocess datasets #4:  96%|█████████▌| 3638/3785 [02:02<00:04, 32.20ex/s]

preprocess datasets #1:  36%|███▌      | 1357/3786 [02:02<03:15, 12.41ex/s]


preprocess datasets #2:  93%|█████████▎| 3531/3786 [02:02<00:06, 37.19ex/s]



preprocess datasets #3:  96%|█████████▌| 3623/3786 [02:02<00:05, 27.20ex/s]
preprocess datasets #0:  36%|███▌      | 1370/3786 [02:02<04:12,  9.57ex/s]


preprocess datasets #2:  93%|█████████▎| 3535/3786 [02:02<00:06, 36.63ex/s]



preprocess datasets #3:  96%|█████████▌| 3627/3786 [02:02<00:05, 29.42ex/s]

preprocess datasets #1:  36%|███▌      | 1359/3786 [02:02<03:14, 12.47ex/s]




preprocess datasets #4:  96%|█████████▌| 3642/3785 [02:02<00:05, 27.92ex/s]
preprocess datasets #0:  36%|███▌      | 1372/3786 [02:02<03:56, 10.22ex/s]


preprocess datasets #2:  93%|█████████▎| 3539/3786 [02:02<00:07, 32.26ex/s]



preprocess datasets #3:  96%|█████████▌| 3631/3786 [02:02<00:05, 28.57ex/s]




preprocess datasets #4:  96%|█████████▋| 3645/3785 [02:02<00:05, 26.04ex/s]

preprocess datasets #1:  36%|███▌      | 1361/3786 [02:02<03:18, 12.21ex/s]
preprocess datasets #0:  36%|███▋      | 1374/3786 [02:02<03:23, 11.88ex/s]



preprocess datasets #3:  96%|█████████▌| 3634/3786 [02:02<00:05, 28.74ex/s]




preprocess datasets #4:  96%|█████████▋| 3648/3785 [02:02<00:05, 25.99ex/s]

preprocess datasets #1:  36%|███▌      | 1363/3786 [02:02<02:59, 13.52ex/s]


preprocess datasets #2:  94%|█████████▎| 3543/3786 [02:02<00:07, 30.87ex/s]
preprocess datasets #0:  36%|███▋      | 1376/3786 [02:02<03:01, 13.29ex/s]




preprocess datasets #4:  96%|█████████▋| 3652/3785 [02:02<00:04, 28.00ex/s]



preprocess datasets #3:  96%|█████████▌| 3637/3786 [02:02<00:05, 25.83ex/s]


preprocess datasets #2:  94%|█████████▎| 3547/3786 [02:02<00:07, 30.54ex/s]

preprocess datasets #1:  36%|███▌      | 1365/3786 [02:02<03:19, 12.15ex/s]




preprocess datasets #4:  97%|█████████▋| 3656/3785 [02:02<00:04, 30.81ex/s]
preprocess datasets #0:  36%|███▋      | 1378/3786 [02:02<03:16, 12.27ex/s]



preprocess datasets #3:  96%|█████████▌| 3641/3786 [02:02<00:05, 28.67ex/s]


preprocess datasets #2:  94%|█████████▍| 3551/3786 [02:03<00:08, 27.36ex/s]



preprocess datasets #3:  96%|█████████▋| 3646/3786 [02:03<00:04, 33.75ex/s]




preprocess datasets #4:  97%|█████████▋| 3660/3785 [02:03<00:04, 29.98ex/s]
preprocess datasets #0:  36%|███▋      | 1380/3786 [02:03<03:07, 12.83ex/s]

preprocess datasets #1:  36%|███▌      | 1367/3786 [02:03<03:27, 11.65ex/s]



preprocess datasets #3:  96%|█████████▋| 3650/3786 [02:03<00:04, 32.73ex/s]
preprocess datasets #0:  37%|███▋      | 1382/3786 [02:03<02:51, 14.04ex/s]


preprocess datasets #2:  94%|█████████▍| 3555/3786 [02:03<00:08, 26.66ex/s]




preprocess datasets #4:  97%|█████████▋| 3664/3785 [02:03<00:04, 28.51ex/s]



preprocess datasets #3:  97%|█████████▋| 3654/3786 [02:03<00:03, 33.48ex/s]

preprocess datasets #1:  36%|███▌      | 1369/3786 [02:03<03:39, 11.01ex/s]


preprocess datasets #2:  94%|█████████▍| 3558/3786 [02:03<00:08, 26.24ex/s]




preprocess datasets #4:  97%|█████████▋| 3668/3785 [02:03<00:03, 31.23ex/s]
preprocess datasets #0:  37%|███▋      | 1384/3786 [02:03<03:03, 13.07ex/s]




preprocess datasets #4:  97%|█████████▋| 3672/3785 [02:03<00:03, 33.15ex/s]



preprocess datasets #3:  97%|█████████▋| 3658/3786 [02:03<00:04, 29.41ex/s]


preprocess datasets #2:  94%|█████████▍| 3561/3786 [02:03<00:09, 23.66ex/s]
preprocess datasets #0:  37%|███▋      | 1386/3786 [02:03<03:00, 13.26ex/s]

preprocess datasets #1:  36%|███▌      | 1371/3786 [02:03<03:51, 10.42ex/s]




preprocess datasets #4:  97%|█████████▋| 3676/3785 [02:03<00:03, 32.29ex/s]


preprocess datasets #2:  94%|█████████▍| 3564/3786 [02:03<00:09, 23.76ex/s]



preprocess datasets #3:  97%|█████████▋| 3662/3786 [02:03<00:04, 28.18ex/s]
preprocess datasets #0:  37%|███▋      | 1388/3786 [02:03<02:59, 13.33ex/s]




preprocess datasets #4:  97%|█████████▋| 3680/3785 [02:03<00:03, 28.99ex/s]



preprocess datasets #3:  97%|█████████▋| 3665/3786 [02:03<00:04, 27.85ex/s]


preprocess datasets #2:  94%|█████████▍| 3567/3786 [02:03<00:09, 23.34ex/s]

preprocess datasets #1:  36%|███▋      | 1373/3786 [02:03<04:12,  9.56ex/s]



preprocess datasets #3:  97%|█████████▋| 3671/3786 [02:03<00:03, 33.42ex/s]
preprocess datasets #0:  37%|███▋      | 1390/3786 [02:03<03:22, 11.82ex/s]


preprocess datasets #2:  94%|█████████▍| 3571/3786 [02:03<00:08, 25.23ex/s]

preprocess datasets #1:  36%|███▋      | 1375/3786 [02:03<03:33, 11.32ex/s]




preprocess datasets #4:  97%|█████████▋| 3684/3785 [02:03<00:03, 27.64ex/s]



preprocess datasets #3:  97%|█████████▋| 3676/3786 [02:03<00:03, 34.39ex/s]




preprocess datasets #4:  97%|█████████▋| 3689/3785 [02:03<00:02, 32.03ex/s]


preprocess datasets #2:  94%|█████████▍| 3574/3786 [02:03<00:08, 24.33ex/s]
preprocess datasets #0:  37%|███▋      | 1392/3786 [02:04<03:28, 11.46ex/s]

preprocess datasets #1:  36%|███▋      | 1377/3786 [02:04<03:38, 11.05ex/s]



preprocess datasets #3:  97%|█████████▋| 3681/3786 [02:04<00:02, 37.88ex/s]


preprocess datasets #2:  94%|█████████▍| 3577/3786 [02:04<00:08, 24.77ex/s]




preprocess datasets #4:  98%|█████████▊| 3693/3785 [02:04<00:03, 26.87ex/s]

preprocess datasets #1:  36%|███▋      | 1379/3786 [02:04<03:24, 11.76ex/s]



preprocess datasets #3:  97%|█████████▋| 3685/3786 [02:04<00:02, 36.33ex/s]


preprocess datasets #2:  95%|█████████▍| 3581/3786 [02:04<00:07, 28.22ex/s]
preprocess datasets #0:  37%|███▋      | 1394/3786 [02:04<03:59, 10.00ex/s]




preprocess datasets #4:  98%|█████████▊| 3696/3785 [02:04<00:03, 26.37ex/s]



preprocess datasets #3:  97%|█████████▋| 3689/3786 [02:04<00:02, 33.96ex/s]


preprocess datasets #2:  95%|█████████▍| 3584/3786 [02:04<00:07, 26.31ex/s]




preprocess datasets #4:  98%|█████████▊| 3699/3785 [02:04<00:03, 26.36ex/s]
preprocess datasets #0:  37%|███▋      | 1396/3786 [02:04<03:44, 10.67ex/s]


preprocess datasets #2:  95%|█████████▍| 3587/3786 [02:04<00:07, 25.43ex/s]



preprocess datasets #3:  98%|█████████▊| 3694/3786 [02:04<00:02, 34.82ex/s]

preprocess datasets #1:  36%|███▋      | 1381/3786 [02:04<04:14,  9.45ex/s]




preprocess datasets #4:  98%|█████████▊| 3703/3785 [02:04<00:03, 26.85ex/s]


preprocess datasets #2:  95%|█████████▍| 3590/3786 [02:04<00:07, 26.08ex/s]



preprocess datasets #3:  98%|█████████▊| 3698/3786 [02:04<00:02, 35.97ex/s]
preprocess datasets #0:  37%|███▋      | 1398/3786 [02:04<03:21, 11.87ex/s]



preprocess datasets #3:  98%|█████████▊| 3703/3786 [02:04<00:02, 39.26ex/s]




preprocess datasets #4:  98%|█████████▊| 3707/3785 [02:04<00:02, 27.90ex/s]


preprocess datasets #2:  95%|█████████▍| 3593/3786 [02:04<00:07, 25.23ex/s]

preprocess datasets #1:  37%|███▋      | 1383/3786 [02:04<04:12,  9.50ex/s]
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preprocess datasets #4:  98%|█████████▊| 3712/3785 [02:04<00:02, 32.52ex/s]



preprocess datasets #3:  98%|█████████▊| 3709/3786 [02:04<00:01, 41.08ex/s]


preprocess datasets #2:  95%|█████████▍| 3596/3786 [02:04<00:07, 24.28ex/s]

preprocess datasets #1:  37%|███▋      | 1385/3786 [02:04<03:58, 10.08ex/s]
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preprocess datasets #4:  98%|█████████▊| 3716/3785 [02:04<00:02, 33.42ex/s]



preprocess datasets #3:  98%|█████████▊| 3714/3786 [02:04<00:01, 40.91ex/s]


preprocess datasets #2:  95%|█████████▌| 3600/3786 [02:04<00:06, 27.38ex/s]

preprocess datasets #1:  37%|███▋      | 1387/3786 [02:05<03:28, 11.52ex/s]




preprocess datasets #4:  98%|█████████▊| 3720/3785 [02:05<00:01, 34.83ex/s]
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preprocess datasets #2:  95%|█████████▌| 3603/3786 [02:05<00:06, 26.78ex/s]



preprocess datasets #3:  98%|█████████▊| 3719/3786 [02:05<00:01, 38.53ex/s]




preprocess datasets #4:  98%|█████████▊| 3724/3785 [02:05<00:01, 35.90ex/s]


preprocess datasets #2:  95%|█████████▌| 3607/3786 [02:05<00:05, 30.01ex/s]

preprocess datasets #1:  37%|███▋      | 1389/3786 [02:05<03:29, 11.42ex/s]



preprocess datasets #3:  98%|█████████▊| 3725/3786 [02:05<00:01, 41.28ex/s]
preprocess datasets #0:  37%|███▋      | 1407/3786 [02:05<03:18, 11.96ex/s]




preprocess datasets #4:  98%|█████████▊| 3728/3785 [02:05<00:01, 31.87ex/s]


preprocess datasets #2:  95%|█████████▌| 3611/3786 [02:05<00:05, 31.79ex/s]

preprocess datasets #1:  37%|███▋      | 1391/3786 [02:05<03:23, 11.79ex/s]


preprocess datasets #2:  96%|█████████▌| 3616/3786 [02:05<00:04, 34.67ex/s]



preprocess datasets #3:  99%|█████████▊| 3730/3786 [02:05<00:01, 33.66ex/s]




preprocess datasets #4:  99%|█████████▊| 3732/3785 [02:05<00:01, 29.69ex/s]
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preprocess datasets #2:  96%|█████████▌| 3620/3786 [02:05<00:04, 35.91ex/s]

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preprocess datasets #3:  99%|█████████▊| 3734/3786 [02:05<00:01, 32.49ex/s]




preprocess datasets #4:  99%|█████████▊| 3736/3785 [02:05<00:01, 29.51ex/s]


preprocess datasets #2:  96%|█████████▌| 3624/3786 [02:05<00:04, 34.64ex/s]



preprocess datasets #3:  99%|█████████▉| 3739/3786 [02:05<00:01, 35.26ex/s]
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preprocess datasets #4:  99%|█████████▉| 3740/3785 [02:05<00:01, 26.63ex/s]


preprocess datasets #2:  96%|█████████▌| 3628/3786 [02:05<00:04, 32.70ex/s]

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preprocess datasets #3:  99%|█████████▉| 3743/3786 [02:05<00:01, 31.22ex/s]
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preprocess datasets #2:  96%|█████████▌| 3634/3786 [02:05<00:03, 39.74ex/s]




preprocess datasets #4:  99%|█████████▉| 3744/3785 [02:05<00:01, 25.76ex/s]

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preprocess datasets #3:  99%|█████████▉| 3747/3786 [02:05<00:01, 29.83ex/s]


preprocess datasets #2:  96%|█████████▌| 3639/3786 [02:06<00:03, 37.06ex/s]




preprocess datasets #4:  99%|█████████▉| 3747/3785 [02:06<00:01, 25.49ex/s]


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preprocess datasets #4:  99%|█████████▉| 3750/3785 [02:06<00:01, 26.12ex/s]

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preprocess datasets #3:  99%|█████████▉| 3751/3786 [02:06<00:01, 26.03ex/s]
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preprocess datasets #4:  99%|█████████▉| 3753/3785 [02:06<00:01, 25.15ex/s]


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preprocess datasets #3:  99%|█████████▉| 3754/3786 [02:06<00:01, 26.10ex/s]

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preprocess datasets #3:  99%|█████████▉| 3758/3786 [02:06<00:00, 28.78ex/s]




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preprocess datasets #2:  96%|█████████▋| 3651/3786 [02:06<00:04, 29.52ex/s]
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preprocess datasets #3:  99%|█████████▉| 3762/3786 [02:06<00:00, 29.59ex/s]




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preprocess datasets #3:  99%|█████████▉| 3766/3786 [02:06<00:00, 29.98ex/s]
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preprocess datasets #2:  97%|█████████▋| 3661/3786 [02:06<00:04, 26.92ex/s]

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preprocess datasets #3: 100%|█████████▉| 3773/3786 [02:06<00:00, 26.80ex/s]




preprocess datasets #4: 100%|█████████▉| 3769/3785 [02:07<00:00, 21.32ex/s]


preprocess datasets #2:  97%|█████████▋| 3664/3786 [02:07<00:04, 24.62ex/s]

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preprocess datasets #3: 100%|█████████▉| 3777/3786 [02:07<00:00, 27.16ex/s]




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preprocess datasets #2:  97%|█████████▋| 3676/3786 [02:07<00:04, 24.37ex/s]




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preprocess datasets #1:  37%|███▋      | 1416/3786 [02:07<03:23, 11.65ex/s]
preprocess datasets #4: 100%|██████████| 3785/3785 [02:07<00:00, 29.66ex/s]



preprocess datasets #2:  97%|█████████▋| 3682/3786 [02:07<00:03, 32.09ex/s]
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preprocess datasets #3:   0%|          | 0/944 [00:00<?, ?ex/s]/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=8000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")
/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=8000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")
/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=32000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")
/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=32000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")
/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=32000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")





preprocess datasets #4:   0%|          | 1/944 [00:01<22:37,  1.44s/ex]/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=8000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")




preprocess datasets #3:   0%|          | 1/944 [00:01<23:05,  1.47s/ex]/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=8000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")

preprocess datasets #0:   0%|          | 1/945 [00:01<23:58,  1.52s/ex]

preprocess datasets #1:   0%|          | 1/945 [00:01<23:46,  1.51s/ex]/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=32000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")
/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=32000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")



preprocess datasets #2:   0%|          | 1/945 [00:01<24:04,  1.53s/ex]/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=32000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")





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preprocess datasets #2:   1%|          | 11/945 [00:01<01:40,  9.27ex/s]/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/datasets/features/audio.py:279: FutureWarning: Pass orig_sr=8000, target_sr=16000 as keyword args. From version 0.10 passing these as positional arguments will result in an error
  array = librosa.resample(array, sampling_rate, self.sampling_rate, res_type="kaiser_best")





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preprocess datasets #3:   5%|▌         | 50/944 [00:02<00:25, 35.36ex/s]


preprocess datasets #2:   7%|▋         | 63/945 [00:02<00:17, 49.06ex/s]




preprocess datasets #4:   7%|▋         | 70/944 [00:02<00:20, 43.60ex/s]

preprocess datasets #1:   3%|▎         | 25/945 [00:02<00:54, 16.99ex/s]
preprocess datasets #0:   3%|▎         | 28/945 [00:03<00:57, 15.99ex/s]


preprocess datasets #2:   7%|▋         | 69/945 [00:03<00:16, 51.84ex/s]



preprocess datasets #3:   6%|▌         | 55/944 [00:03<00:24, 36.09ex/s]




preprocess datasets #4:   8%|▊         | 75/944 [00:03<00:19, 44.88ex/s]
preprocess datasets #0:   3%|▎         | 30/945 [00:03<00:54, 16.78ex/s]

preprocess datasets #1:   3%|▎         | 28/945 [00:03<00:52, 17.58ex/s]



preprocess datasets #3:   6%|▋         | 61/944 [00:03<00:21, 41.04ex/s]


preprocess datasets #2:   8%|▊         | 75/945 [00:03<00:16, 51.32ex/s]




preprocess datasets #4:   8%|▊         | 80/944 [00:03<00:21, 40.84ex/s]
preprocess datasets #0:   3%|▎         | 32/945 [00:03<00:54, 16.84ex/s]


preprocess datasets #2:   9%|▊         | 81/945 [00:03<00:17, 50.47ex/s]



preprocess datasets #3:   7%|▋         | 66/944 [00:03<00:22, 39.02ex/s]

preprocess datasets #1:   3%|▎         | 30/945 [00:03<00:59, 15.43ex/s]




preprocess datasets #4:   9%|▉         | 86/944 [00:03<00:19, 44.23ex/s]
preprocess datasets #0:   4%|▎         | 35/945 [00:03<00:47, 19.05ex/s]


preprocess datasets #2:   9%|▉         | 87/945 [00:03<00:17, 47.99ex/s]



preprocess datasets #3:   8%|▊         | 71/944 [00:03<00:22, 38.44ex/s]

preprocess datasets #1:   3%|▎         | 32/945 [00:03<00:56, 16.16ex/s]
preprocess datasets #0:   4%|▍         | 37/945 [00:03<00:48, 18.60ex/s]




preprocess datasets #4:  10%|▉         | 91/944 [00:03<00:20, 41.50ex/s]


preprocess datasets #2:  10%|▉         | 92/945 [00:03<00:19, 43.28ex/s]



preprocess datasets #3:   8%|▊         | 75/944 [00:03<00:24, 34.98ex/s]

preprocess datasets #1:   4%|▎         | 35/945 [00:03<00:51, 17.62ex/s]




preprocess datasets #4:  10%|█         | 96/944 [00:03<00:20, 41.56ex/s]
preprocess datasets #0:   4%|▍         | 40/945 [00:03<00:49, 18.21ex/s]

preprocess datasets #1:   4%|▍         | 37/945 [00:03<00:50, 18.00ex/s]


preprocess datasets #2:  10%|█         | 97/945 [00:03<00:19, 43.54ex/s]



preprocess datasets #3:   8%|▊         | 80/944 [00:03<00:23, 36.99ex/s]




preprocess datasets #4:  11%|█         | 101/944 [00:03<00:19, 42.57ex/s]
preprocess datasets #0:   4%|▍         | 42/945 [00:03<00:48, 18.53ex/s]

preprocess datasets #1:   4%|▍         | 39/945 [00:03<00:50, 17.96ex/s]



preprocess datasets #3:   9%|▉         | 85/944 [00:03<00:22, 37.75ex/s]
preprocess datasets #0:   5%|▍         | 44/945 [00:03<00:47, 18.90ex/s]




preprocess datasets #4:  11%|█         | 106/944 [00:03<00:20, 40.63ex/s]


preprocess datasets #2:  11%|█         | 102/945 [00:03<00:21, 38.55ex/s]



preprocess datasets #3:  10%|▉         | 90/944 [00:03<00:21, 38.93ex/s]
preprocess datasets #0:   5%|▍         | 46/945 [00:03<00:48, 18.41ex/s]




preprocess datasets #4:  12%|█▏        | 111/944 [00:03<00:20, 39.85ex/s]

preprocess datasets #1:   4%|▍         | 41/945 [00:03<01:01, 14.72ex/s]


preprocess datasets #2:  11%|█▏        | 107/945 [00:03<00:23, 35.81ex/s]



preprocess datasets #3:  10%|▉         | 94/944 [00:04<00:22, 37.18ex/s]
preprocess datasets #0:   5%|▌         | 48/945 [00:04<00:53, 16.81ex/s]


preprocess datasets #2:  12%|█▏        | 111/945 [00:04<00:23, 35.48ex/s]




preprocess datasets #4:  12%|█▏        | 116/944 [00:04<00:22, 36.27ex/s]

preprocess datasets #1:   5%|▍         | 43/945 [00:04<01:06, 13.56ex/s]



preprocess datasets #3:  10%|█         | 99/944 [00:04<00:22, 37.37ex/s]
preprocess datasets #0:   5%|▌         | 51/945 [00:04<00:48, 18.62ex/s]


preprocess datasets #2:  12%|█▏        | 116/945 [00:04<00:22, 36.64ex/s]




preprocess datasets #4:  13%|█▎        | 120/944 [00:04<00:25, 31.97ex/s]



preprocess datasets #3:  11%|█         | 103/944 [00:04<00:24, 34.31ex/s]

preprocess datasets #1:   5%|▍         | 45/945 [00:04<01:11, 12.60ex/s]
preprocess datasets #0:   6%|▌         | 53/945 [00:04<00:50, 17.76ex/s]


preprocess datasets #2:  13%|█▎        | 120/945 [00:04<00:23, 35.07ex/s]



preprocess datasets #3:  11%|█▏        | 107/944 [00:04<00:24, 34.80ex/s]




preprocess datasets #4:  13%|█▎        | 124/944 [00:04<00:26, 30.82ex/s]

preprocess datasets #1:   5%|▍         | 47/945 [00:04<01:06, 13.57ex/s]
preprocess datasets #0:   6%|▌         | 56/945 [00:04<00:49, 17.93ex/s]


preprocess datasets #2:  13%|█▎        | 124/945 [00:04<00:26, 31.09ex/s]




preprocess datasets #4:  14%|█▎        | 128/944 [00:04<00:25, 31.68ex/s]



preprocess datasets #3:  12%|█▏        | 111/944 [00:04<00:25, 33.14ex/s]

preprocess datasets #1:   5%|▌         | 49/945 [00:04<01:06, 13.46ex/s]
preprocess datasets #0:   6%|▌         | 58/945 [00:04<00:52, 16.88ex/s]



preprocess datasets #3:  12%|█▏        | 115/944 [00:04<00:24, 33.74ex/s]




preprocess datasets #4:  14%|█▍        | 132/944 [00:04<00:25, 31.53ex/s]


preprocess datasets #2:  14%|█▎        | 128/945 [00:04<00:29, 28.08ex/s]



preprocess datasets #3:  13%|█▎        | 119/944 [00:04<00:24, 34.15ex/s]

preprocess datasets #1:   5%|▌         | 51/945 [00:04<01:11, 12.46ex/s]
preprocess datasets #0:   6%|▋         | 61/945 [00:04<00:51, 17.28ex/s]


preprocess datasets #2:  14%|█▍        | 132/945 [00:04<00:28, 29.00ex/s]




preprocess datasets #4:  14%|█▍        | 136/944 [00:04<00:29, 27.69ex/s]



preprocess datasets #3:  13%|█▎        | 123/944 [00:04<00:23, 34.93ex/s]


preprocess datasets #2:  14%|█▍        | 136/945 [00:04<00:25, 31.28ex/s]
preprocess datasets #0:   7%|▋         | 64/945 [00:04<00:49, 17.79ex/s]




preprocess datasets #4:  15%|█▍        | 140/944 [00:04<00:28, 28.06ex/s]

preprocess datasets #1:   6%|▌         | 53/945 [00:05<01:20, 11.06ex/s]



preprocess datasets #3:  13%|█▎        | 127/944 [00:05<00:26, 31.05ex/s]
preprocess datasets #0:   7%|▋         | 66/945 [00:05<00:52, 16.77ex/s]




preprocess datasets #4:  15%|█▌        | 144/944 [00:05<00:26, 29.90ex/s]


preprocess datasets #2:  15%|█▍        | 140/945 [00:05<00:29, 27.67ex/s]

preprocess datasets #1:   6%|▌         | 55/945 [00:05<01:18, 11.39ex/s]



preprocess datasets #3:  14%|█▍        | 131/944 [00:05<00:27, 29.14ex/s]
preprocess datasets #0:   7%|▋         | 68/945 [00:05<00:54, 16.23ex/s]


preprocess datasets #2:  15%|█▌        | 144/945 [00:05<00:27, 28.89ex/s]




preprocess datasets #4:  16%|█▌        | 148/944 [00:05<00:27, 29.30ex/s]

preprocess datasets #1:   6%|▌         | 57/945 [00:05<01:12, 12.24ex/s]



preprocess datasets #3:  14%|█▍        | 135/944 [00:05<00:27, 29.68ex/s]


preprocess datasets #2:  16%|█▌        | 148/945 [00:05<00:25, 30.77ex/s]




preprocess datasets #4:  16%|█▌        | 152/944 [00:05<00:25, 31.37ex/s]
preprocess datasets #0:   7%|▋         | 70/945 [00:05<00:59, 14.77ex/s]



preprocess datasets #3:  15%|█▍        | 140/944 [00:05<00:25, 31.59ex/s]


preprocess datasets #2:  16%|█▌        | 152/945 [00:05<00:26, 29.97ex/s]




preprocess datasets #4:  17%|█▋        | 156/944 [00:05<00:27, 28.91ex/s]
preprocess datasets #0:   8%|▊         | 72/945 [00:05<00:57, 15.26ex/s]



preprocess datasets #3:  15%|█▌        | 144/944 [00:05<00:26, 29.94ex/s]


preprocess datasets #2:  17%|█▋        | 156/945 [00:05<00:26, 29.28ex/s]




preprocess datasets #4:  17%|█▋        | 159/944 [00:05<00:29, 26.41ex/s]
preprocess datasets #0:   8%|▊         | 74/945 [00:05<00:58, 14.77ex/s]

preprocess datasets #1:   6%|▌         | 59/945 [00:05<01:44,  8.45ex/s]


preprocess datasets #2:  17%|█▋        | 159/945 [00:05<00:28, 27.69ex/s]
preprocess datasets #0:   8%|▊         | 76/945 [00:05<00:56, 15.40ex/s]



preprocess datasets #3:  16%|█▌        | 148/944 [00:05<00:28, 27.81ex/s]




preprocess datasets #4:  17%|█▋        | 162/944 [00:05<00:30, 25.24ex/s]


preprocess datasets #2:  17%|█▋        | 164/945 [00:05<00:24, 32.54ex/s]




preprocess datasets #4:  18%|█▊        | 166/944 [00:05<00:27, 28.71ex/s]

preprocess datasets #1:   6%|▋         | 61/945 [00:05<01:37,  9.06ex/s]
preprocess datasets #0:   8%|▊         | 78/945 [00:05<00:55, 15.48ex/s]



preprocess datasets #3:  16%|█▌        | 152/944 [00:05<00:30, 25.98ex/s]


preprocess datasets #2:  18%|█▊        | 168/945 [00:05<00:24, 32.27ex/s]




preprocess datasets #4:  18%|█▊        | 171/944 [00:06<00:24, 31.58ex/s]
preprocess datasets #0:   9%|▊         | 81/945 [00:06<00:48, 17.74ex/s]

preprocess datasets #1:   7%|▋         | 63/945 [00:06<01:30,  9.76ex/s]



preprocess datasets #3:  16%|█▋        | 155/944 [00:06<00:30, 26.16ex/s]


preprocess datasets #2:  18%|█▊        | 172/945 [00:06<00:22, 33.87ex/s]




preprocess datasets #4:  19%|█▉        | 178/944 [00:06<00:19, 40.23ex/s]
preprocess datasets #0:   9%|▉         | 83/945 [00:06<00:48, 17.82ex/s]



preprocess datasets #3:  17%|█▋        | 158/944 [00:06<00:30, 25.96ex/s]

preprocess datasets #1:   7%|▋         | 65/945 [00:06<01:23, 10.53ex/s]
preprocess datasets #0:   9%|▉         | 85/945 [00:06<00:47, 18.25ex/s]


preprocess datasets #2:  19%|█▊        | 176/945 [00:06<00:25, 29.77ex/s]




preprocess datasets #4:  19%|█▉        | 184/944 [00:06<00:18, 41.45ex/s]



preprocess datasets #3:  17%|█▋        | 163/944 [00:06<00:26, 29.45ex/s]


preprocess datasets #2:  19%|█▉        | 180/945 [00:06<00:23, 32.05ex/s]
preprocess datasets #0:   9%|▉         | 87/945 [00:06<00:48, 17.75ex/s]

preprocess datasets #1:   7%|▋         | 67/945 [00:06<01:18, 11.25ex/s]



preprocess datasets #3:  18%|█▊        | 168/944 [00:06<00:23, 33.63ex/s]




preprocess datasets #4:  20%|██        | 189/944 [00:06<00:21, 35.36ex/s]
preprocess datasets #0:   9%|▉         | 89/945 [00:06<00:49, 17.40ex/s]

preprocess datasets #1:   7%|▋         | 69/945 [00:06<01:10, 12.39ex/s]


preprocess datasets #2:  19%|█▉        | 184/945 [00:06<00:24, 30.77ex/s]



preprocess datasets #3:  18%|█▊        | 172/944 [00:06<00:24, 31.47ex/s]




preprocess datasets #4:  20%|██        | 193/944 [00:06<00:23, 32.02ex/s]


preprocess datasets #2:  20%|██        | 189/945 [00:06<00:22, 33.36ex/s]
preprocess datasets #0:  10%|▉         | 91/945 [00:06<00:54, 15.69ex/s]

preprocess datasets #1:   8%|▊         | 71/945 [00:06<01:13, 11.93ex/s]



preprocess datasets #3:  19%|█▉        | 177/944 [00:06<00:22, 34.02ex/s]
preprocess datasets #0:  10%|▉         | 93/945 [00:06<00:52, 16.34ex/s]




preprocess datasets #4:  21%|██        | 197/944 [00:06<00:24, 30.74ex/s]


preprocess datasets #2:  20%|██        | 193/945 [00:06<00:24, 31.10ex/s]

preprocess datasets #1:   8%|▊         | 73/945 [00:06<01:09, 12.57ex/s]



preprocess datasets #3:  19%|█▉        | 181/944 [00:06<00:23, 32.96ex/s]


preprocess datasets #2:  21%|██        | 197/945 [00:06<00:22, 32.72ex/s]




preprocess datasets #4:  21%|██▏       | 201/944 [00:06<00:24, 30.09ex/s]
preprocess datasets #0:  10%|█         | 95/945 [00:06<00:57, 14.85ex/s]



preprocess datasets #3:  20%|█▉        | 185/944 [00:06<00:22, 33.43ex/s]

preprocess datasets #1:   8%|▊         | 75/945 [00:06<01:06, 13.05ex/s]




preprocess datasets #4:  22%|██▏       | 205/944 [00:07<00:25, 29.20ex/s]
preprocess datasets #0:  10%|█         | 97/945 [00:07<00:57, 14.64ex/s]


preprocess datasets #2:  21%|██▏       | 201/945 [00:07<00:25, 28.90ex/s]



preprocess datasets #3:  20%|██        | 189/944 [00:07<00:22, 33.05ex/s]




preprocess datasets #4:  22%|██▏       | 209/944 [00:07<00:23, 30.76ex/s]

preprocess datasets #1:   8%|▊         | 77/945 [00:07<01:18, 11.09ex/s]



preprocess datasets #3:  21%|██        | 194/944 [00:07<00:21, 35.45ex/s]
preprocess datasets #0:  10%|█         | 99/945 [00:07<00:59, 14.22ex/s]


preprocess datasets #2:  22%|██▏       | 205/945 [00:07<00:27, 27.15ex/s]




preprocess datasets #4:  23%|██▎       | 213/944 [00:07<00:25, 28.99ex/s]


preprocess datasets #2:  22%|██▏       | 209/945 [00:07<00:24, 29.92ex/s]
preprocess datasets #0:  11%|█         | 101/945 [00:07<00:58, 14.37ex/s]



preprocess datasets #3:  21%|██        | 198/944 [00:07<00:23, 31.74ex/s]

preprocess datasets #1:   8%|▊         | 79/945 [00:07<01:16, 11.26ex/s]




preprocess datasets #4:  23%|██▎       | 216/944 [00:07<00:25, 28.75ex/s]


preprocess datasets #2:  23%|██▎       | 213/945 [00:07<00:24, 29.40ex/s]
preprocess datasets #0:  11%|█         | 103/945 [00:07<01:02, 13.48ex/s]



preprocess datasets #3:  21%|██▏       | 202/944 [00:07<00:25, 29.59ex/s]

preprocess datasets #1:   9%|▊         | 81/945 [00:07<01:13, 11.80ex/s]




preprocess datasets #4:  23%|██▎       | 219/944 [00:07<00:26, 27.68ex/s]




preprocess datasets #4:  24%|██▎       | 224/944 [00:07<00:22, 32.62ex/s]


preprocess datasets #2:  23%|██▎       | 217/945 [00:07<00:28, 25.59ex/s]

preprocess datasets #1:   9%|▉         | 83/945 [00:07<01:13, 11.75ex/s]



preprocess datasets #3:  22%|██▏       | 206/944 [00:07<00:27, 26.83ex/s]
preprocess datasets #0:  11%|█         | 105/945 [00:07<01:07, 12.41ex/s]




preprocess datasets #4:  24%|██▍       | 228/944 [00:07<00:21, 32.93ex/s]


preprocess datasets #2:  23%|██▎       | 220/945 [00:07<00:27, 25.97ex/s]



preprocess datasets #3:  22%|██▏       | 211/944 [00:07<00:24, 30.41ex/s]

preprocess datasets #1:   9%|▉         | 85/945 [00:07<01:11, 11.96ex/s]
preprocess datasets #0:  11%|█▏        | 107/945 [00:07<01:06, 12.61ex/s]


preprocess datasets #2:  24%|██▎       | 223/945 [00:07<00:28, 25.69ex/s]

preprocess datasets #1:   9%|▉         | 87/945 [00:07<01:05, 13.04ex/s]




preprocess datasets #4:  25%|██▍       | 232/944 [00:07<00:25, 27.78ex/s]



preprocess datasets #3:  23%|██▎       | 215/944 [00:07<00:25, 29.09ex/s]
preprocess datasets #0:  12%|█▏        | 109/945 [00:08<01:05, 12.67ex/s]


preprocess datasets #2:  24%|██▍       | 227/945 [00:08<00:28, 25.64ex/s]




preprocess datasets #4:  25%|██▍       | 235/944 [00:08<00:25, 28.08ex/s]



preprocess datasets #3:  23%|██▎       | 219/944 [00:08<00:24, 30.06ex/s]
preprocess datasets #0:  12%|█▏        | 111/945 [00:08<01:06, 12.46ex/s]




preprocess datasets #4:  25%|██▌       | 239/944 [00:08<00:23, 30.04ex/s]

preprocess datasets #1:   9%|▉         | 89/945 [00:08<01:13, 11.59ex/s]


preprocess datasets #2:  24%|██▍       | 230/945 [00:08<00:29, 24.60ex/s]



preprocess datasets #3:  24%|██▎       | 224/944 [00:08<00:21, 32.87ex/s]




preprocess datasets #4:  26%|██▌       | 243/944 [00:08<00:22, 30.89ex/s]


preprocess datasets #2:  25%|██▍       | 236/945 [00:08<00:22, 31.08ex/s]

preprocess datasets #1:  10%|▉         | 91/945 [00:08<01:10, 12.19ex/s]



preprocess datasets #3:  24%|██▍       | 228/944 [00:08<00:22, 32.29ex/s]
preprocess datasets #0:  12%|█▏        | 113/945 [00:08<01:12, 11.54ex/s]




preprocess datasets #4:  26%|██▌       | 247/944 [00:08<00:21, 31.73ex/s]



preprocess datasets #3:  25%|██▍       | 232/944 [00:08<00:20, 34.07ex/s]


preprocess datasets #2:  25%|██▌       | 240/945 [00:08<00:24, 28.37ex/s]
preprocess datasets #0:  12%|█▏        | 115/945 [00:08<01:06, 12.52ex/s]

preprocess datasets #1:  10%|▉         | 93/945 [00:08<01:18, 10.79ex/s]




preprocess datasets #4:  27%|██▋       | 251/944 [00:08<00:22, 30.17ex/s]



preprocess datasets #3:  25%|██▌       | 236/944 [00:08<00:22, 31.88ex/s]


preprocess datasets #2:  26%|██▌       | 244/945 [00:08<00:24, 28.63ex/s]
preprocess datasets #0:  12%|█▏        | 117/945 [00:08<01:07, 12.31ex/s]

preprocess datasets #1:  10%|█         | 95/945 [00:08<01:10, 12.14ex/s]




preprocess datasets #4:  27%|██▋       | 255/944 [00:08<00:22, 31.03ex/s]



preprocess datasets #3:  25%|██▌       | 240/944 [00:08<00:24, 29.03ex/s]


preprocess datasets #2:  26%|██▌       | 248/945 [00:08<00:24, 28.81ex/s]




preprocess datasets #4:  27%|██▋       | 259/944 [00:08<00:21, 31.85ex/s]
preprocess datasets #0:  13%|█▎        | 119/945 [00:08<01:05, 12.64ex/s]

preprocess datasets #1:  10%|█         | 97/945 [00:08<01:12, 11.68ex/s]


preprocess datasets #2:  27%|██▋       | 251/945 [00:08<00:24, 28.67ex/s]




preprocess datasets #4:  28%|██▊       | 263/944 [00:08<00:20, 33.54ex/s]
preprocess datasets #0:  13%|█▎        | 121/945 [00:09<01:02, 13.26ex/s]


preprocess datasets #2:  27%|██▋       | 254/945 [00:09<00:24, 27.79ex/s]

preprocess datasets #1:  10%|█         | 99/945 [00:09<01:08, 12.34ex/s]



preprocess datasets #3:  26%|██▌       | 244/944 [00:09<00:30, 23.15ex/s]




preprocess datasets #4:  28%|██▊       | 269/944 [00:09<00:17, 39.37ex/s]
preprocess datasets #0:  13%|█▎        | 123/945 [00:09<00:57, 14.21ex/s]


preprocess datasets #2:  28%|██▊       | 260/945 [00:09<00:20, 33.83ex/s]




preprocess datasets #4:  29%|██▉       | 274/944 [00:09<00:15, 42.08ex/s]

preprocess datasets #1:  11%|█         | 101/945 [00:09<01:05, 12.83ex/s]



preprocess datasets #3:  26%|██▌       | 247/944 [00:09<00:30, 22.96ex/s]


preprocess datasets #2:  28%|██▊       | 264/945 [00:09<00:19, 34.99ex/s]
preprocess datasets #0:  13%|█▎        | 125/945 [00:09<01:04, 12.81ex/s]




preprocess datasets #4:  30%|██▉       | 279/944 [00:09<00:17, 38.28ex/s]

preprocess datasets #1:  11%|█         | 103/945 [00:09<01:03, 13.30ex/s]



preprocess datasets #3:  26%|██▋       | 250/944 [00:09<00:31, 22.17ex/s]


preprocess datasets #2:  28%|██▊       | 268/945 [00:09<00:20, 32.60ex/s]




preprocess datasets #4:  30%|███       | 284/944 [00:09<00:16, 39.78ex/s]



preprocess datasets #3:  27%|██▋       | 254/944 [00:09<00:27, 25.39ex/s]
preprocess datasets #0:  13%|█▎        | 127/945 [00:09<01:08, 12.02ex/s]


preprocess datasets #2:  29%|██▉       | 272/945 [00:09<00:21, 31.13ex/s]

preprocess datasets #1:  11%|█         | 105/945 [00:09<01:15, 11.17ex/s]



preprocess datasets #3:  27%|██▋       | 258/944 [00:09<00:25, 26.98ex/s]




preprocess datasets #4:  31%|███       | 289/944 [00:09<00:18, 34.73ex/s]


preprocess datasets #2:  29%|██▉       | 278/945 [00:09<00:17, 37.69ex/s]



preprocess datasets #3:  28%|██▊       | 263/944 [00:09<00:22, 29.89ex/s]
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preprocess datasets #4:  31%|███       | 293/944 [00:09<00:19, 33.75ex/s]


preprocess datasets #2:  30%|███       | 284/945 [00:09<00:16, 40.88ex/s]

preprocess datasets #1:  11%|█▏        | 107/945 [00:09<01:21, 10.28ex/s]
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preprocess datasets #3:  28%|██▊       | 267/944 [00:09<00:24, 28.14ex/s]


preprocess datasets #2:  31%|███       | 289/945 [00:09<00:15, 42.81ex/s]




preprocess datasets #4:  31%|███▏      | 297/944 [00:09<00:20, 30.98ex/s]

preprocess datasets #1:  12%|█▏        | 109/945 [00:09<01:20, 10.41ex/s]


preprocess datasets #2:  32%|███▏      | 298/945 [00:09<00:12, 53.88ex/s]
preprocess datasets #0:  14%|█▍        | 133/945 [00:10<01:07, 12.00ex/s]




preprocess datasets #4:  32%|███▏      | 301/944 [00:10<00:20, 31.18ex/s]



preprocess datasets #3:  29%|██▉       | 273/944 [00:10<00:21, 30.64ex/s]


preprocess datasets #2:  32%|███▏      | 304/945 [00:10<00:12, 52.24ex/s]

preprocess datasets #1:  12%|█▏        | 111/945 [00:10<01:14, 11.15ex/s]




preprocess datasets #4:  33%|███▎      | 310/944 [00:10<00:14, 43.88ex/s]
preprocess datasets #0:  14%|█▍        | 135/945 [00:10<01:16, 10.55ex/s]



preprocess datasets #3:  29%|██▉       | 277/944 [00:10<00:25, 26.08ex/s]


preprocess datasets #2:  33%|███▎      | 310/945 [00:10<00:13, 48.80ex/s]




preprocess datasets #4:  33%|███▎      | 316/944 [00:10<00:14, 42.93ex/s]

preprocess datasets #1:  12%|█▏        | 113/945 [00:10<01:13, 11.34ex/s]



preprocess datasets #3:  30%|██▉       | 281/944 [00:10<00:23, 28.72ex/s]
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preprocess datasets #2:  33%|███▎      | 315/945 [00:10<00:15, 40.87ex/s]




preprocess datasets #4:  34%|███▍      | 321/944 [00:10<00:15, 39.29ex/s]



preprocess datasets #3:  30%|███       | 285/944 [00:10<00:21, 31.01ex/s]

preprocess datasets #1:  12%|█▏        | 115/945 [00:10<01:19, 10.45ex/s]



preprocess datasets #3:  31%|███       | 289/944 [00:10<00:21, 31.16ex/s]


preprocess datasets #2:  34%|███▍      | 320/945 [00:10<00:16, 38.27ex/s]
preprocess datasets #0:  15%|█▍        | 139/945 [00:10<01:14, 10.85ex/s]




preprocess datasets #4:  35%|███▍      | 326/944 [00:10<00:18, 33.38ex/s]



preprocess datasets #3:  31%|███       | 293/944 [00:10<00:19, 33.18ex/s]

preprocess datasets #1:  12%|█▏        | 117/945 [00:10<01:15, 10.98ex/s]


preprocess datasets #2:  34%|███▍      | 325/945 [00:10<00:17, 35.47ex/s]
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preprocess datasets #4:  35%|███▍      | 330/944 [00:10<00:18, 32.47ex/s]



preprocess datasets #3:  31%|███▏      | 297/944 [00:10<00:18, 34.12ex/s]


preprocess datasets #2:  35%|███▍      | 329/945 [00:10<00:17, 35.64ex/s]

preprocess datasets #1:  13%|█▎        | 119/945 [00:10<01:14, 11.10ex/s]
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preprocess datasets #3:  32%|███▏      | 301/944 [00:10<00:19, 33.23ex/s]




preprocess datasets #4:  35%|███▌      | 334/944 [00:10<00:21, 28.54ex/s]


preprocess datasets #2:  35%|███▌      | 333/945 [00:10<00:18, 33.96ex/s]

preprocess datasets #1:  13%|█▎        | 121/945 [00:11<01:12, 11.39ex/s]
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preprocess datasets #4:  36%|███▌      | 340/944 [00:11<00:17, 34.55ex/s]



preprocess datasets #3:  32%|███▏      | 305/944 [00:11<00:22, 28.92ex/s]


preprocess datasets #2:  36%|███▌      | 339/945 [00:11<00:15, 38.89ex/s]
preprocess datasets #0:  16%|█▌        | 147/945 [00:11<01:01, 13.00ex/s]




preprocess datasets #4:  36%|███▋      | 344/944 [00:11<00:18, 32.95ex/s]


preprocess datasets #2:  36%|███▋      | 344/945 [00:11<00:15, 39.40ex/s]

preprocess datasets #1:  13%|█▎        | 123/945 [00:11<01:16, 10.78ex/s]



preprocess datasets #3:  33%|███▎      | 310/944 [00:11<00:21, 29.55ex/s]




preprocess datasets #4:  37%|███▋      | 348/944 [00:11<00:18, 32.93ex/s]



preprocess datasets #3:  33%|███▎      | 315/944 [00:11<00:19, 32.25ex/s]


preprocess datasets #2:  37%|███▋      | 349/945 [00:11<00:17, 34.81ex/s]

preprocess datasets #1:  13%|█▎        | 125/945 [00:11<01:16, 10.78ex/s]
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preprocess datasets #4:  37%|███▋      | 352/944 [00:11<00:19, 31.13ex/s]



preprocess datasets #3:  34%|███▍      | 319/944 [00:11<00:19, 31.87ex/s]


preprocess datasets #2:  37%|███▋      | 353/945 [00:11<00:19, 30.81ex/s]
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preprocess datasets #4:  38%|███▊      | 356/944 [00:11<00:19, 30.01ex/s]



preprocess datasets #3:  34%|███▍      | 323/944 [00:11<00:19, 31.75ex/s]


preprocess datasets #2:  38%|███▊      | 358/945 [00:11<00:17, 33.85ex/s]

preprocess datasets #1:  13%|█▎        | 127/945 [00:11<01:29,  9.15ex/s]




preprocess datasets #4:  38%|███▊      | 360/944 [00:11<00:18, 31.68ex/s]



preprocess datasets #3:  35%|███▍      | 330/944 [00:11<00:15, 39.37ex/s]


preprocess datasets #2:  38%|███▊      | 362/945 [00:11<00:16, 34.78ex/s]
preprocess datasets #0:  16%|█▌        | 153/945 [00:11<01:18, 10.07ex/s]

preprocess datasets #1:  14%|█▎        | 129/945 [00:11<01:21,  9.96ex/s]




preprocess datasets #4:  39%|███▊      | 364/944 [00:11<00:19, 30.28ex/s]


preprocess datasets #2:  39%|███▊      | 366/945 [00:11<00:16, 35.60ex/s]



preprocess datasets #3:  35%|███▌      | 335/944 [00:11<00:19, 31.60ex/s]




preprocess datasets #4:  39%|███▉      | 368/944 [00:11<00:18, 31.68ex/s]


preprocess datasets #2:  39%|███▉      | 370/945 [00:12<00:16, 35.43ex/s]

preprocess datasets #1:  14%|█▍        | 131/945 [00:12<01:16, 10.63ex/s]
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preprocess datasets #4:  39%|███▉      | 372/944 [00:12<00:18, 30.86ex/s]


preprocess datasets #2:  40%|███▉      | 375/945 [00:12<00:15, 37.71ex/s]



preprocess datasets #3:  36%|███▌      | 339/944 [00:12<00:20, 29.74ex/s]

preprocess datasets #1:  14%|█▍        | 133/945 [00:12<01:16, 10.66ex/s]




preprocess datasets #4:  40%|███▉      | 377/944 [00:12<00:16, 34.32ex/s]



preprocess datasets #3:  36%|███▋      | 343/944 [00:12<00:19, 30.91ex/s]
preprocess datasets #0:  17%|█▋        | 157/945 [00:12<01:19,  9.90ex/s]


preprocess datasets #2:  40%|████      | 379/945 [00:12<00:16, 34.55ex/s]

preprocess datasets #1:  14%|█▍        | 135/945 [00:12<01:12, 11.10ex/s]


preprocess datasets #2:  41%|████      | 383/945 [00:12<00:15, 35.18ex/s]




preprocess datasets #4:  40%|████      | 381/944 [00:12<00:17, 31.72ex/s]



preprocess datasets #3:  37%|███▋      | 348/944 [00:12<00:19, 31.34ex/s]
preprocess datasets #0:  17%|█▋        | 159/945 [00:12<01:20,  9.73ex/s]


preprocess datasets #2:  41%|████      | 387/945 [00:12<00:16, 34.76ex/s]




preprocess datasets #4:  41%|████      | 386/944 [00:12<00:16, 34.15ex/s]
preprocess datasets #0:  17%|█▋        | 161/945 [00:12<01:11, 11.02ex/s]

preprocess datasets #1:  14%|█▍        | 137/945 [00:12<01:19, 10.13ex/s]



preprocess datasets #3:  37%|███▋      | 352/944 [00:12<00:22, 26.35ex/s]


preprocess datasets #2:  41%|████▏     | 391/945 [00:12<00:16, 33.12ex/s]




preprocess datasets #4:  42%|████▏     | 392/944 [00:12<00:14, 37.61ex/s]


preprocess datasets #2:  42%|████▏     | 395/945 [00:12<00:17, 30.99ex/s]



preprocess datasets #3:  38%|███▊      | 355/944 [00:12<00:24, 24.22ex/s]
preprocess datasets #0:  17%|█▋        | 163/945 [00:12<01:11, 10.92ex/s]




preprocess datasets #4:  42%|████▏     | 397/944 [00:12<00:15, 35.64ex/s]

preprocess datasets #1:  15%|█▍        | 139/945 [00:12<01:20, 10.02ex/s]



preprocess datasets #3:  38%|███▊      | 358/944 [00:12<00:24, 24.02ex/s]


preprocess datasets #2:  42%|████▏     | 399/945 [00:12<00:18, 29.61ex/s]
preprocess datasets #0:  17%|█▋        | 165/945 [00:12<01:07, 11.51ex/s]

preprocess datasets #1:  15%|█▍        | 141/945 [00:13<01:17, 10.36ex/s]




preprocess datasets #4:  42%|████▏     | 401/944 [00:12<00:18, 29.45ex/s]



preprocess datasets #3:  38%|███▊      | 361/944 [00:13<00:23, 24.55ex/s]


preprocess datasets #2:  43%|████▎     | 403/945 [00:13<00:18, 29.02ex/s]




preprocess datasets #4:  43%|████▎     | 405/944 [00:13<00:18, 29.80ex/s]
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preprocess datasets #3:  39%|███▉      | 366/944 [00:13<00:20, 28.43ex/s]


preprocess datasets #2:  43%|████▎     | 410/945 [00:13<00:14, 37.36ex/s]

preprocess datasets #1:  15%|█▌        | 143/945 [00:13<01:22,  9.72ex/s]




preprocess datasets #4:  43%|████▎     | 410/944 [00:13<00:16, 32.80ex/s]


preprocess datasets #2:  44%|████▍     | 414/945 [00:13<00:14, 36.23ex/s]



preprocess datasets #3:  39%|███▉      | 370/944 [00:13<00:20, 27.48ex/s]

preprocess datasets #1:  15%|█▌        | 144/945 [00:13<01:22,  9.74ex/s]




preprocess datasets #4:  44%|████▍     | 415/944 [00:13<00:14, 36.54ex/s]
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preprocess datasets #3:  40%|███▉      | 374/944 [00:13<00:20, 27.99ex/s]

preprocess datasets #1:  15%|█▌        | 146/945 [00:13<01:12, 11.09ex/s]




preprocess datasets #4:  45%|████▍     | 421/944 [00:13<00:12, 42.33ex/s]


preprocess datasets #2:  44%|████▍     | 418/945 [00:13<00:15, 33.08ex/s]



preprocess datasets #3:  40%|████      | 378/944 [00:13<00:18, 30.14ex/s]




preprocess datasets #4:  45%|████▌     | 427/944 [00:13<00:11, 43.70ex/s]

preprocess datasets #1:  16%|█▌        | 148/945 [00:13<01:05, 12.13ex/s]


preprocess datasets #2:  45%|████▍     | 422/945 [00:13<00:16, 31.92ex/s]
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preprocess datasets #3:  40%|████      | 382/944 [00:13<00:17, 31.98ex/s]




preprocess datasets #4:  46%|████▌     | 432/944 [00:13<00:11, 44.02ex/s]

preprocess datasets #1:  16%|█▌        | 150/945 [00:13<00:58, 13.52ex/s]


preprocess datasets #2:  45%|████▌     | 426/945 [00:13<00:16, 30.96ex/s]



preprocess datasets #3:  41%|████      | 388/944 [00:13<00:14, 39.00ex/s]
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preprocess datasets #2:  46%|████▌     | 430/945 [00:13<00:15, 32.63ex/s]

preprocess datasets #1:  16%|█▌        | 152/945 [00:13<01:04, 12.30ex/s]



preprocess datasets #3:  42%|████▏     | 393/944 [00:13<00:15, 35.65ex/s]




preprocess datasets #4:  46%|████▋     | 437/944 [00:13<00:15, 33.17ex/s]


preprocess datasets #2:  46%|████▌     | 436/945 [00:13<00:12, 39.26ex/s]
preprocess datasets #0:  19%|█▊        | 175/945 [00:14<01:21,  9.47ex/s]

preprocess datasets #1:  16%|█▋        | 154/945 [00:14<01:02, 12.59ex/s]



preprocess datasets #3:  42%|████▏     | 398/944 [00:14<00:14, 37.70ex/s]




preprocess datasets #4:  47%|████▋     | 441/944 [00:14<00:16, 30.20ex/s]


preprocess datasets #2:  47%|████▋     | 441/945 [00:14<00:15, 33.56ex/s]
preprocess datasets #0:  19%|█▊        | 176/945 [00:14<01:20,  9.52ex/s]



preprocess datasets #3:  43%|████▎     | 402/944 [00:14<00:15, 33.91ex/s]

preprocess datasets #1:  17%|█▋        | 156/945 [00:14<01:02, 12.57ex/s]




preprocess datasets #4:  47%|████▋     | 445/944 [00:14<00:16, 30.07ex/s]
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preprocess datasets #2:  47%|████▋     | 445/945 [00:14<00:17, 28.87ex/s]



preprocess datasets #3:  43%|████▎     | 406/944 [00:14<00:16, 31.78ex/s]




preprocess datasets #4:  48%|████▊     | 449/944 [00:14<00:18, 27.14ex/s]

preprocess datasets #1:  17%|█▋        | 158/945 [00:14<01:11, 10.99ex/s]


preprocess datasets #2:  48%|████▊     | 449/945 [00:14<00:16, 30.20ex/s]
preprocess datasets #0:  19%|█▉        | 179/945 [00:14<01:19,  9.63ex/s]



preprocess datasets #3:  43%|████▎     | 410/944 [00:14<00:16, 31.87ex/s]




preprocess datasets #4:  48%|████▊     | 452/944 [00:14<00:18, 26.91ex/s]
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preprocess datasets #3:  44%|████▍     | 415/944 [00:14<00:16, 32.19ex/s]

preprocess datasets #1:  17%|█▋        | 160/945 [00:14<01:15, 10.33ex/s]




preprocess datasets #4:  49%|████▊     | 459/944 [00:14<00:13, 34.74ex/s]



preprocess datasets #3:  44%|████▍     | 419/944 [00:14<00:15, 33.06ex/s]


preprocess datasets #2:  48%|████▊     | 458/945 [00:14<00:16, 29.69ex/s]




preprocess datasets #4:  49%|████▉     | 465/944 [00:14<00:11, 40.06ex/s]
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preprocess datasets #3:  45%|████▍     | 423/944 [00:14<00:16, 31.46ex/s]




preprocess datasets #4:  50%|████▉     | 470/944 [00:14<00:13, 35.65ex/s]
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preprocess datasets #4:  50%|█████     | 475/944 [00:15<00:12, 36.31ex/s]

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preprocess datasets #3:  46%|████▌     | 430/944 [00:15<00:18, 27.85ex/s]




preprocess datasets #4:  51%|█████     | 479/944 [00:15<00:13, 35.58ex/s]

preprocess datasets #1:  17%|█▋        | 163/945 [00:15<01:47,  7.25ex/s]
preprocess datasets #0:  20%|█▉        | 187/945 [00:15<01:21,  9.28ex/s]




preprocess datasets #4:  51%|█████▏    | 484/944 [00:15<00:11, 38.79ex/s]



preprocess datasets #3:  46%|████▌     | 434/944 [00:15<00:18, 28.10ex/s]


preprocess datasets #2:  51%|█████     | 478/945 [00:15<00:14, 32.25ex/s]

preprocess datasets #1:  17%|█▋        | 164/945 [00:15<01:50,  7.05ex/s]
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preprocess datasets #3:  46%|████▋     | 437/944 [00:15<00:19, 26.42ex/s]




preprocess datasets #4:  52%|█████▏    | 489/944 [00:15<00:12, 37.78ex/s]


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preprocess datasets #3:  47%|████▋     | 441/944 [00:15<00:18, 27.74ex/s]

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preprocess datasets #3:  47%|████▋     | 447/944 [00:15<00:14, 34.47ex/s]
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preprocess datasets #4:  53%|█████▎    | 501/944 [00:15<00:13, 32.83ex/s]
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preprocess datasets #2:  52%|█████▏    | 496/945 [00:15<00:13, 33.04ex/s]

preprocess datasets #1:  18%|█▊        | 167/945 [00:15<01:59,  6.50ex/s]




preprocess datasets #4:  53%|█████▎    | 505/944 [00:15<00:13, 33.44ex/s]



preprocess datasets #3:  48%|████▊     | 455/944 [00:15<00:15, 31.48ex/s]


preprocess datasets #2:  53%|█████▎    | 500/945 [00:15<00:13, 33.97ex/s]
preprocess datasets #0:  21%|██        | 195/945 [00:16<01:05, 11.40ex/s]

preprocess datasets #1:  18%|█▊        | 168/945 [00:16<01:48,  7.15ex/s]



preprocess datasets #3:  49%|████▊     | 459/944 [00:16<00:15, 31.42ex/s]




preprocess datasets #4:  54%|█████▍    | 510/944 [00:16<00:12, 34.14ex/s]


preprocess datasets #2:  53%|█████▎    | 504/945 [00:16<00:13, 32.13ex/s]
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preprocess datasets #4:  55%|█████▍    | 516/944 [00:16<00:11, 37.64ex/s]


preprocess datasets #2:  54%|█████▍    | 508/945 [00:16<00:13, 32.15ex/s]

preprocess datasets #1:  18%|█▊        | 170/945 [00:16<01:46,  7.31ex/s]



preprocess datasets #3:  49%|████▉     | 463/944 [00:16<00:17, 26.78ex/s]




preprocess datasets #4:  55%|█████▌    | 521/944 [00:16<00:11, 36.81ex/s]
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preprocess datasets #3:  49%|████▉     | 466/944 [00:16<00:17, 27.03ex/s]

preprocess datasets #1:  18%|█▊        | 171/945 [00:16<01:47,  7.17ex/s]


preprocess datasets #2:  54%|█████▍    | 512/945 [00:16<00:15, 28.23ex/s]




preprocess datasets #4:  56%|█████▌    | 525/944 [00:16<00:11, 36.15ex/s]



preprocess datasets #3:  50%|████▉     | 470/944 [00:16<00:15, 29.86ex/s]

preprocess datasets #1:  18%|█▊        | 173/945 [00:16<01:26,  8.96ex/s]


preprocess datasets #2:  55%|█████▍    | 516/945 [00:16<00:15, 28.02ex/s]




preprocess datasets #4:  56%|█████▌    | 529/944 [00:16<00:11, 35.35ex/s]
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preprocess datasets #1:  18%|█▊        | 174/945 [00:16<01:28,  8.69ex/s]




preprocess datasets #4:  56%|█████▋    | 533/944 [00:16<00:12, 32.59ex/s]



preprocess datasets #3:  51%|█████     | 479/944 [00:16<00:14, 32.87ex/s]


preprocess datasets #2:  55%|█████▌    | 523/945 [00:16<00:13, 30.49ex/s]
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preprocess datasets #4:  57%|█████▋    | 537/944 [00:16<00:13, 30.23ex/s]

preprocess datasets #1:  19%|█▊        | 175/945 [00:16<01:52,  6.86ex/s]
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preprocess datasets #4:  57%|█████▋    | 541/944 [00:17<00:13, 29.79ex/s]

preprocess datasets #1:  19%|█▊        | 176/945 [00:17<02:02,  6.28ex/s]
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preprocess datasets #4:  58%|█████▊    | 547/944 [00:17<00:10, 36.67ex/s]


preprocess datasets #2:  57%|█████▋    | 538/945 [00:17<00:11, 36.28ex/s]

preprocess datasets #1:  19%|█▉        | 178/945 [00:17<01:26,  8.84ex/s]



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preprocess datasets #4:  59%|█████▊    | 553/944 [00:17<00:09, 40.38ex/s]


preprocess datasets #2:  57%|█████▋    | 542/945 [00:17<00:11, 35.94ex/s]

preprocess datasets #1:  19%|█▉        | 180/945 [00:17<01:09, 11.05ex/s]
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preprocess datasets #3:  53%|█████▎    | 503/944 [00:17<00:11, 39.83ex/s]


preprocess datasets #2:  58%|█████▊    | 546/945 [00:17<00:11, 35.85ex/s]

preprocess datasets #1:  19%|█▉        | 182/945 [00:17<01:06, 11.47ex/s]




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preprocess datasets #3:  54%|█████▍    | 508/944 [00:17<00:11, 36.60ex/s]


preprocess datasets #2:  58%|█████▊    | 550/945 [00:17<00:12, 32.11ex/s]
preprocess datasets #0:  22%|██▏       | 211/945 [00:17<01:12, 10.15ex/s]

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preprocess datasets #3:  54%|█████▍    | 512/944 [00:17<00:12, 35.38ex/s]
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preprocess datasets #4:  61%|██████    | 576/944 [00:17<00:08, 44.05ex/s]


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preprocess datasets #3:  55%|█████▌    | 521/944 [00:17<00:11, 35.93ex/s]




preprocess datasets #4:  62%|██████▏   | 581/944 [00:17<00:09, 38.15ex/s]


preprocess datasets #2:  59%|█████▉    | 562/945 [00:17<00:12, 30.36ex/s]

preprocess datasets #1:  20%|█▉        | 188/945 [00:17<01:01, 12.37ex/s]
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preprocess datasets #3:  56%|█████▌    | 525/944 [00:18<00:12, 34.86ex/s]




preprocess datasets #4:  62%|██████▏   | 586/944 [00:18<00:09, 38.48ex/s]


preprocess datasets #2:  60%|█████▉    | 566/945 [00:18<00:12, 29.86ex/s]

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preprocess datasets #3:  56%|█████▌    | 529/944 [00:18<00:14, 28.94ex/s]




preprocess datasets #4:  63%|██████▎   | 595/944 [00:18<00:08, 39.13ex/s]

preprocess datasets #1:  20%|██        | 192/945 [00:18<01:02, 12.01ex/s]
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preprocess datasets #3:  56%|█████▋    | 533/944 [00:18<00:13, 30.62ex/s]


preprocess datasets #2:  61%|██████    | 573/945 [00:18<00:14, 25.83ex/s]




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preprocess datasets #3:  57%|█████▋    | 537/944 [00:18<00:13, 31.02ex/s]


preprocess datasets #2:  61%|██████    | 577/945 [00:18<00:13, 27.98ex/s]




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preprocess datasets #2:  61%|██████▏   | 581/945 [00:18<00:12, 30.26ex/s]



preprocess datasets #3:  57%|█████▋    | 541/944 [00:18<00:13, 29.32ex/s]

preprocess datasets #1:  21%|██        | 196/945 [00:18<01:03, 11.79ex/s]
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preprocess datasets #4:  65%|██████▍   | 611/944 [00:18<00:09, 34.07ex/s]


preprocess datasets #2:  62%|██████▏   | 585/945 [00:18<00:11, 30.74ex/s]
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preprocess datasets #3:  58%|█████▊    | 546/944 [00:18<00:12, 33.13ex/s]

preprocess datasets #1:  21%|██        | 198/945 [00:18<01:02, 11.96ex/s]


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preprocess datasets #4:  65%|██████▌   | 615/944 [00:18<00:10, 32.71ex/s]
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preprocess datasets #3:  58%|█████▊    | 550/944 [00:18<00:13, 28.43ex/s]

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preprocess datasets #4:  66%|██████▌   | 619/944 [00:19<00:10, 31.60ex/s]


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preprocess datasets #3:  59%|█████▊    | 554/944 [00:19<00:12, 30.78ex/s]

preprocess datasets #1:  21%|██▏       | 202/945 [00:19<01:00, 12.34ex/s]
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preprocess datasets #4:  66%|██████▌   | 625/944 [00:19<00:08, 36.17ex/s]


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preprocess datasets #3:  59%|█████▉    | 560/944 [00:19<00:11, 34.63ex/s]


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preprocess datasets #3:  60%|█████▉    | 564/944 [00:19<00:11, 34.32ex/s]
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preprocess datasets #3:  60%|██████    | 568/944 [00:19<00:10, 35.46ex/s]

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preprocess datasets #3:  61%|██████    | 572/944 [00:19<00:10, 35.16ex/s]


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preprocess datasets #3:  61%|██████    | 576/944 [00:19<00:10, 35.45ex/s]
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preprocess datasets #3:  61%|██████▏   | 580/944 [00:19<00:11, 31.19ex/s]


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preprocess datasets #1:  22%|██▏       | 212/945 [00:19<00:59, 12.30ex/s]




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preprocess datasets #3:  62%|██████▏   | 588/944 [00:20<00:11, 30.32ex/s]

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preprocess datasets #3:  63%|██████▎   | 592/944 [00:20<00:12, 29.09ex/s]

preprocess datasets #1:  23%|██▎       | 216/945 [00:20<00:58, 12.55ex/s]




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preprocess datasets #3:  63%|██████▎   | 596/944 [00:20<00:11, 30.88ex/s]
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preprocess datasets #3:  65%|██████▍   | 612/944 [00:20<00:10, 32.53ex/s]

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preprocess datasets #3:  66%|██████▌   | 625/944 [00:21<00:09, 34.53ex/s]
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preprocess datasets #3:  69%|██████▉   | 650/944 [00:21<00:07, 41.07ex/s]
preprocess datasets #0:  28%|██▊       | 262/945 [00:21<01:03, 10.73ex/s]

preprocess datasets #1:  25%|██▌       | 238/945 [00:21<00:51, 13.62ex/s]


preprocess datasets #2:  74%|███████▎  | 695/945 [00:21<00:08, 29.70ex/s]




preprocess datasets #4:  77%|███████▋  | 727/944 [00:21<00:07, 27.63ex/s]
preprocess datasets #0:  28%|██▊       | 264/945 [00:22<00:57, 11.83ex/s]

preprocess datasets #1:  25%|██▌       | 240/945 [00:22<00:47, 14.85ex/s]



preprocess datasets #3:  69%|██████▉   | 655/944 [00:22<00:09, 31.22ex/s]




preprocess datasets #4:  78%|███████▊  | 733/944 [00:22<00:06, 34.34ex/s]


preprocess datasets #2:  74%|███████▍  | 699/945 [00:22<00:08, 30.64ex/s]

preprocess datasets #1:  26%|██▌       | 242/945 [00:22<00:46, 15.11ex/s]
preprocess datasets #0:  28%|██▊       | 266/945 [00:22<00:56, 11.97ex/s]




preprocess datasets #4:  78%|███████▊  | 739/944 [00:22<00:05, 39.85ex/s]


preprocess datasets #2:  74%|███████▍  | 703/945 [00:22<00:08, 29.54ex/s]



preprocess datasets #3:  70%|██████▉   | 659/944 [00:22<00:09, 28.89ex/s]

preprocess datasets #1:  26%|██▌       | 245/945 [00:22<00:41, 16.94ex/s]




preprocess datasets #4:  79%|███████▉  | 744/944 [00:22<00:05, 38.92ex/s]
preprocess datasets #0:  28%|██▊       | 268/945 [00:22<00:58, 11.67ex/s]



preprocess datasets #3:  70%|███████   | 663/944 [00:22<00:09, 29.60ex/s]


preprocess datasets #2:  75%|███████▍  | 708/945 [00:22<00:07, 31.01ex/s]




preprocess datasets #4:  79%|███████▉  | 749/944 [00:22<00:04, 40.42ex/s]

preprocess datasets #1:  26%|██▌       | 247/945 [00:22<00:44, 15.63ex/s]


preprocess datasets #2:  75%|███████▌  | 713/945 [00:22<00:06, 35.19ex/s]



preprocess datasets #3:  71%|███████   | 667/944 [00:22<00:09, 30.64ex/s]
preprocess datasets #0:  29%|██▊       | 270/945 [00:22<00:54, 12.45ex/s]
preprocess datasets #0:  29%|██▉       | 272/945 [00:22<00:48, 13.99ex/s]




preprocess datasets #4:  80%|███████▉  | 754/944 [00:22<00:05, 35.85ex/s]

preprocess datasets #1:  26%|██▋       | 249/945 [00:22<00:48, 14.48ex/s]



preprocess datasets #3:  71%|███████   | 671/944 [00:22<00:08, 30.44ex/s]


preprocess datasets #2:  76%|███████▌  | 717/945 [00:22<00:07, 32.47ex/s]



preprocess datasets #3:  72%|███████▏  | 675/944 [00:22<00:08, 31.53ex/s]

preprocess datasets #1:  27%|██▋       | 251/945 [00:22<00:48, 14.35ex/s]
preprocess datasets #0:  29%|██▉       | 274/945 [00:22<00:49, 13.59ex/s]




preprocess datasets #4:  80%|████████  | 758/944 [00:22<00:05, 31.50ex/s]


preprocess datasets #2:  76%|███████▋  | 721/945 [00:22<00:07, 30.12ex/s]



preprocess datasets #3:  72%|███████▏  | 680/944 [00:22<00:07, 35.82ex/s]
preprocess datasets #0:  29%|██▉       | 276/945 [00:22<00:48, 13.74ex/s]

preprocess datasets #1:  27%|██▋       | 253/945 [00:22<00:50, 13.82ex/s]


preprocess datasets #2:  77%|███████▋  | 725/945 [00:22<00:07, 30.49ex/s]




preprocess datasets #4:  81%|████████  | 762/944 [00:22<00:06, 28.52ex/s]



preprocess datasets #3:  72%|███████▏  | 684/944 [00:22<00:07, 35.17ex/s]


preprocess datasets #2:  77%|███████▋  | 729/945 [00:23<00:06, 32.25ex/s]
preprocess datasets #0:  29%|██▉       | 278/945 [00:23<00:48, 13.63ex/s]

preprocess datasets #1:  27%|██▋       | 255/945 [00:23<00:49, 13.93ex/s]




preprocess datasets #4:  81%|████████  | 766/944 [00:23<00:05, 29.67ex/s]


preprocess datasets #2:  78%|███████▊  | 735/945 [00:23<00:05, 38.28ex/s]



preprocess datasets #3:  73%|███████▎  | 688/944 [00:23<00:08, 28.96ex/s]




preprocess datasets #4:  82%|████████▏ | 770/944 [00:23<00:05, 31.29ex/s]

preprocess datasets #1:  27%|██▋       | 257/945 [00:23<00:49, 13.83ex/s]
preprocess datasets #0:  30%|██▉       | 280/945 [00:23<00:51, 12.87ex/s]


preprocess datasets #2:  78%|███████▊  | 741/945 [00:23<00:04, 42.93ex/s]




preprocess datasets #4:  82%|████████▏ | 775/944 [00:23<00:04, 35.41ex/s]

preprocess datasets #1:  27%|██▋       | 259/945 [00:23<00:48, 14.29ex/s]



preprocess datasets #3:  73%|███████▎  | 692/944 [00:23<00:09, 27.04ex/s]


preprocess datasets #2:  79%|███████▉  | 746/945 [00:23<00:05, 37.73ex/s]
preprocess datasets #0:  30%|██▉       | 283/945 [00:23<00:49, 13.29ex/s]



preprocess datasets #3:  74%|███████▎  | 696/944 [00:23<00:08, 29.37ex/s]




preprocess datasets #4:  83%|████████▎ | 779/944 [00:23<00:05, 30.33ex/s]


preprocess datasets #2:  79%|███████▉  | 751/945 [00:23<00:05, 37.99ex/s]



preprocess datasets #3:  74%|███████▍  | 700/944 [00:23<00:07, 31.48ex/s]

preprocess datasets #1:  28%|██▊       | 261/945 [00:23<00:59, 11.55ex/s]




preprocess datasets #4:  83%|████████▎ | 783/944 [00:23<00:05, 30.20ex/s]
preprocess datasets #0:  30%|███       | 285/945 [00:23<00:54, 12.08ex/s]


preprocess datasets #2:  80%|███████▉  | 755/945 [00:23<00:05, 37.43ex/s]

preprocess datasets #1:  28%|██▊       | 263/945 [00:23<00:53, 12.77ex/s]



preprocess datasets #3:  75%|███████▍  | 704/944 [00:23<00:08, 28.54ex/s]




preprocess datasets #4:  83%|████████▎ | 788/944 [00:23<00:04, 33.78ex/s]


preprocess datasets #2:  80%|████████  | 760/945 [00:23<00:04, 39.57ex/s]
preprocess datasets #0:  30%|███       | 287/945 [00:23<00:51, 12.82ex/s]




preprocess datasets #4:  84%|████████▍ | 792/944 [00:23<00:04, 34.97ex/s]



preprocess datasets #3:  75%|███████▌  | 708/944 [00:23<00:07, 29.97ex/s]

preprocess datasets #1:  28%|██▊       | 265/945 [00:23<00:52, 12.95ex/s]
preprocess datasets #0:  31%|███       | 289/945 [00:23<00:50, 13.00ex/s]


preprocess datasets #2:  81%|████████  | 765/945 [00:23<00:05, 35.42ex/s]



preprocess datasets #3:  75%|███████▌  | 712/944 [00:23<00:07, 31.99ex/s]




preprocess datasets #4:  84%|████████▍ | 796/944 [00:23<00:04, 33.78ex/s]

preprocess datasets #1:  28%|██▊       | 267/945 [00:24<00:54, 12.50ex/s]



preprocess datasets #3:  76%|███████▌  | 716/944 [00:24<00:06, 34.00ex/s]




preprocess datasets #4:  85%|████████▍ | 800/944 [00:24<00:04, 34.78ex/s]


preprocess datasets #2:  81%|████████▏ | 769/945 [00:24<00:05, 32.43ex/s]
preprocess datasets #0:  31%|███       | 291/945 [00:24<00:53, 12.27ex/s]



preprocess datasets #3:  76%|███████▋  | 720/944 [00:24<00:06, 34.75ex/s]

preprocess datasets #1:  28%|██▊       | 269/945 [00:24<00:54, 12.41ex/s]




preprocess datasets #4:  85%|████████▌ | 804/944 [00:24<00:04, 32.99ex/s]
preprocess datasets #0:  31%|███       | 293/945 [00:24<00:48, 13.34ex/s]


preprocess datasets #2:  82%|████████▏ | 773/945 [00:24<00:05, 31.01ex/s]



preprocess datasets #3:  77%|███████▋  | 724/944 [00:24<00:06, 35.62ex/s]




preprocess datasets #4:  86%|████████▌ | 809/944 [00:24<00:03, 35.92ex/s]

preprocess datasets #1:  29%|██▊       | 271/945 [00:24<00:52, 12.72ex/s]
preprocess datasets #0:  31%|███▏      | 296/945 [00:24<00:42, 15.35ex/s]



preprocess datasets #3:  77%|███████▋  | 728/944 [00:24<00:06, 34.47ex/s]


preprocess datasets #2:  82%|████████▏ | 777/945 [00:24<00:05, 29.13ex/s]




preprocess datasets #4:  86%|████████▌ | 813/944 [00:24<00:03, 34.85ex/s]

preprocess datasets #1:  29%|██▉       | 273/945 [00:24<00:52, 12.89ex/s]



preprocess datasets #3:  78%|███████▊  | 732/944 [00:24<00:06, 32.97ex/s]


preprocess datasets #2:  83%|████████▎ | 781/945 [00:24<00:05, 29.42ex/s]
preprocess datasets #0:  32%|███▏      | 299/945 [00:24<00:38, 16.57ex/s]




preprocess datasets #4:  87%|████████▋ | 817/944 [00:24<00:03, 36.05ex/s]



preprocess datasets #3:  78%|███████▊  | 737/944 [00:24<00:05, 36.66ex/s]

preprocess datasets #1:  29%|██▉       | 275/945 [00:24<00:51, 12.94ex/s]


preprocess datasets #2:  83%|████████▎ | 785/945 [00:24<00:05, 30.83ex/s]




preprocess datasets #4:  87%|████████▋ | 822/944 [00:24<00:03, 39.27ex/s]
preprocess datasets #0:  32%|███▏      | 301/945 [00:24<00:39, 16.29ex/s]



preprocess datasets #3:  78%|███████▊  | 741/944 [00:24<00:05, 35.63ex/s]




preprocess datasets #4:  88%|████████▊ | 827/944 [00:24<00:02, 41.72ex/s]
preprocess datasets #0:  32%|███▏      | 303/945 [00:24<00:38, 16.67ex/s]


preprocess datasets #2:  84%|████████▎ | 791/945 [00:24<00:04, 34.27ex/s]

preprocess datasets #1:  29%|██▉       | 277/945 [00:24<00:56, 11.82ex/s]




preprocess datasets #4:  88%|████████▊ | 832/944 [00:24<00:02, 40.56ex/s]



preprocess datasets #3:  79%|███████▉  | 745/944 [00:24<00:05, 33.40ex/s]


preprocess datasets #2:  84%|████████▍ | 795/945 [00:24<00:04, 33.93ex/s]
preprocess datasets #0:  32%|███▏      | 305/945 [00:24<00:44, 14.47ex/s]




preprocess datasets #4:  89%|████████▊ | 837/944 [00:24<00:02, 42.84ex/s]

preprocess datasets #1:  30%|██▉       | 279/945 [00:24<00:54, 12.21ex/s]


preprocess datasets #2:  85%|████████▍ | 799/945 [00:25<00:04, 33.77ex/s]



preprocess datasets #3:  79%|███████▉  | 749/944 [00:25<00:06, 29.53ex/s]
preprocess datasets #0:  32%|███▏      | 307/945 [00:25<00:41, 15.39ex/s]




preprocess datasets #4:  89%|████████▉ | 842/944 [00:25<00:02, 41.69ex/s]

preprocess datasets #1:  30%|██▉       | 281/945 [00:25<00:52, 12.72ex/s]


preprocess datasets #2:  85%|████████▌ | 804/945 [00:25<00:03, 36.86ex/s]



preprocess datasets #3:  80%|███████▉  | 753/944 [00:25<00:06, 29.45ex/s]
preprocess datasets #0:  33%|███▎      | 309/945 [00:25<00:40, 15.55ex/s]




preprocess datasets #4:  90%|████████▉ | 847/944 [00:25<00:02, 43.81ex/s]


preprocess datasets #2:  86%|████████▌ | 808/945 [00:25<00:03, 37.45ex/s]

preprocess datasets #1:  30%|██▉       | 283/945 [00:25<00:49, 13.26ex/s]



preprocess datasets #3:  80%|████████  | 757/944 [00:25<00:06, 28.91ex/s]
preprocess datasets #0:  33%|███▎      | 311/945 [00:25<00:44, 14.20ex/s]


preprocess datasets #2:  86%|████████▋ | 817/945 [00:25<00:02, 46.82ex/s]

preprocess datasets #1:  30%|███       | 285/945 [00:25<00:47, 13.95ex/s]




preprocess datasets #4:  90%|█████████ | 852/944 [00:25<00:02, 35.69ex/s]



preprocess datasets #3:  81%|████████  | 760/944 [00:25<00:07, 25.63ex/s]
preprocess datasets #0:  33%|███▎      | 314/945 [00:25<00:38, 16.48ex/s]


preprocess datasets #2:  87%|████████▋ | 822/945 [00:25<00:02, 43.79ex/s]




preprocess datasets #4:  91%|█████████ | 858/944 [00:25<00:02, 40.76ex/s]

preprocess datasets #1:  30%|███       | 287/945 [00:25<00:48, 13.65ex/s]



preprocess datasets #3:  81%|████████  | 763/944 [00:25<00:07, 25.59ex/s]
preprocess datasets #0:  33%|███▎      | 316/945 [00:25<00:39, 15.92ex/s]




preprocess datasets #4:  91%|█████████▏| 863/944 [00:25<00:02, 39.29ex/s]


preprocess datasets #2:  88%|████████▊ | 827/945 [00:25<00:03, 38.82ex/s]

preprocess datasets #1:  31%|███       | 289/945 [00:25<00:47, 13.94ex/s]



preprocess datasets #3:  81%|████████▏ | 767/944 [00:25<00:06, 27.46ex/s]
preprocess datasets #0:  34%|███▎      | 318/945 [00:25<00:41, 15.17ex/s]


preprocess datasets #2:  88%|████████▊ | 833/945 [00:25<00:02, 41.10ex/s]

preprocess datasets #1:  31%|███       | 291/945 [00:25<00:44, 14.56ex/s]




preprocess datasets #4:  92%|█████████▏| 868/944 [00:25<00:02, 35.97ex/s]



preprocess datasets #3:  82%|████████▏ | 771/944 [00:25<00:05, 28.94ex/s]


preprocess datasets #2:  89%|████████▊ | 838/945 [00:25<00:02, 40.88ex/s]
preprocess datasets #0:  34%|███▍      | 320/945 [00:25<00:43, 14.37ex/s]




preprocess datasets #4:  92%|█████████▏| 872/944 [00:25<00:02, 35.04ex/s]

preprocess datasets #1:  31%|███       | 293/945 [00:25<00:46, 14.13ex/s]



preprocess datasets #3:  82%|████████▏ | 774/944 [00:26<00:06, 25.06ex/s]
preprocess datasets #0:  34%|███▍      | 322/945 [00:26<00:40, 15.49ex/s]


preprocess datasets #2:  89%|████████▉ | 844/945 [00:26<00:02, 42.18ex/s]




preprocess datasets #4:  93%|█████████▎| 876/944 [00:26<00:01, 34.43ex/s]

preprocess datasets #1:  31%|███       | 295/945 [00:26<00:46, 14.06ex/s]



preprocess datasets #3:  82%|████████▏ | 777/944 [00:26<00:06, 25.34ex/s]




preprocess datasets #4:  93%|█████████▎| 881/944 [00:26<00:01, 36.57ex/s]


preprocess datasets #2:  90%|████████▉ | 850/945 [00:26<00:02, 41.94ex/s]
preprocess datasets #0:  34%|███▍      | 324/945 [00:26<00:45, 13.78ex/s]

preprocess datasets #1:  31%|███▏      | 297/945 [00:26<00:46, 14.04ex/s]



preprocess datasets #3:  83%|████████▎ | 780/944 [00:26<00:06, 25.15ex/s]




preprocess datasets #4:  94%|█████████▍| 885/944 [00:26<00:01, 34.67ex/s]



preprocess datasets #3:  83%|████████▎ | 784/944 [00:26<00:05, 26.68ex/s]


preprocess datasets #2:  90%|█████████ | 855/945 [00:26<00:02, 36.12ex/s]

preprocess datasets #1:  32%|███▏      | 299/945 [00:26<00:47, 13.70ex/s]
preprocess datasets #0:  34%|███▍      | 326/945 [00:26<00:48, 12.67ex/s]



preprocess datasets #3:  83%|████████▎ | 788/944 [00:26<00:05, 28.79ex/s]




preprocess datasets #4:  94%|█████████▍| 889/944 [00:26<00:01, 28.81ex/s]


preprocess datasets #2:  91%|█████████ | 859/945 [00:26<00:02, 32.89ex/s]

preprocess datasets #1:  32%|███▏      | 301/945 [00:26<00:47, 13.60ex/s]
preprocess datasets #0:  35%|███▍      | 328/945 [00:26<00:47, 13.11ex/s]



preprocess datasets #3:  84%|████████▍ | 791/944 [00:26<00:05, 27.18ex/s]




preprocess datasets #4:  95%|█████████▍| 893/944 [00:26<00:01, 29.33ex/s]


preprocess datasets #2:  91%|█████████▏| 863/945 [00:26<00:02, 32.94ex/s]

preprocess datasets #1:  32%|███▏      | 303/945 [00:26<00:45, 14.13ex/s]
preprocess datasets #0:  35%|███▌      | 331/945 [00:26<00:42, 14.53ex/s]



preprocess datasets #3:  84%|████████▍ | 794/944 [00:26<00:05, 27.35ex/s]




preprocess datasets #4:  95%|█████████▌| 897/944 [00:26<00:01, 31.36ex/s]

preprocess datasets #1:  32%|███▏      | 305/945 [00:26<00:42, 15.12ex/s]


preprocess datasets #2:  92%|█████████▏| 867/945 [00:26<00:02, 33.06ex/s]
preprocess datasets #0:  35%|███▌      | 333/945 [00:26<00:42, 14.34ex/s]




preprocess datasets #4:  95%|█████████▌| 901/944 [00:26<00:01, 30.51ex/s]


preprocess datasets #2:  92%|█████████▏| 872/945 [00:26<00:02, 36.26ex/s]

preprocess datasets #1:  32%|███▏      | 307/945 [00:26<00:40, 15.77ex/s]



preprocess datasets #3:  84%|████████▍ | 797/944 [00:26<00:06, 23.33ex/s]
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preprocess datasets #3:  85%|████████▍ | 800/944 [00:27<00:05, 24.07ex/s]




preprocess datasets #4:  96%|█████████▌| 906/944 [00:27<00:01, 30.75ex/s]


preprocess datasets #2:  93%|█████████▎| 876/945 [00:27<00:02, 31.27ex/s]

preprocess datasets #1:  33%|███▎      | 309/945 [00:27<00:50, 12.56ex/s]



preprocess datasets #3:  85%|████████▌ | 803/944 [00:27<00:05, 25.11ex/s]




preprocess datasets #4:  97%|█████████▋| 913/944 [00:27<00:00, 38.81ex/s]
preprocess datasets #0:  36%|███▌      | 337/945 [00:27<00:43, 13.98ex/s]


preprocess datasets #2:  93%|█████████▎| 880/945 [00:27<00:02, 31.53ex/s]



preprocess datasets #3:  85%|████████▌ | 806/944 [00:27<00:05, 26.29ex/s]

preprocess datasets #1:  33%|███▎      | 311/945 [00:27<00:47, 13.36ex/s]
preprocess datasets #0:  36%|███▌      | 339/945 [00:27<00:40, 15.14ex/s]




preprocess datasets #4:  97%|█████████▋| 918/944 [00:27<00:00, 37.11ex/s]


preprocess datasets #2:  94%|█████████▎| 884/945 [00:27<00:02, 30.17ex/s]



preprocess datasets #3:  86%|████████▌ | 810/944 [00:27<00:04, 29.03ex/s]

preprocess datasets #1:  33%|███▎      | 313/945 [00:27<00:46, 13.73ex/s]




preprocess datasets #4:  98%|█████████▊| 925/944 [00:27<00:00, 42.36ex/s]



preprocess datasets #3:  86%|████████▋ | 815/944 [00:27<00:03, 32.81ex/s]


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preprocess datasets #4:  99%|█████████▊| 931/944 [00:27<00:00, 45.53ex/s]
preprocess datasets #0:  36%|███▌      | 341/945 [00:27<00:54, 11.18ex/s]

preprocess datasets #1:  33%|███▎      | 315/945 [00:27<00:50, 12.54ex/s]



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preprocess datasets #2:  94%|█████████▍| 891/945 [00:27<00:01, 27.62ex/s]


preprocess datasets #2:  95%|█████████▍| 894/945 [00:27<00:01, 27.51ex/s]

preprocess datasets #1:  34%|███▎      | 317/945 [00:27<00:49, 12.81ex/s]




preprocess datasets #4:  99%|█████████▉| 936/944 [00:27<00:00, 36.99ex/s]



preprocess datasets #3:  87%|████████▋ | 824/944 [00:27<00:03, 32.27ex/s]
preprocess datasets #0:  36%|███▋      | 343/945 [00:27<01:00, 10.00ex/s]


preprocess datasets #2:  95%|█████████▌| 898/945 [00:27<00:01, 30.03ex/s]



preprocess datasets #3:  88%|████████▊ | 828/944 [00:27<00:03, 33.93ex/s]




preprocess datasets #4: 100%|█████████▉| 941/944 [00:27<00:00, 36.95ex/s]

preprocess datasets #1:  34%|███▍      | 319/945 [00:27<00:50, 12.45ex/s]
preprocess datasets #4: 100%|██████████| 944/944 [00:27<00:00, 33.82ex/s]



preprocess datasets #2:  96%|█████████▌| 903/945 [00:27<00:01, 33.83ex/s]
preprocess datasets #0:  37%|███▋      | 345/945 [00:27<00:56, 10.69ex/s]



preprocess datasets #3:  88%|████████▊ | 832/944 [00:27<00:03, 31.85ex/s]

preprocess datasets #1:  34%|███▍      | 321/945 [00:28<00:46, 13.35ex/s]


preprocess datasets #2:  96%|█████████▌| 909/945 [00:28<00:00, 39.68ex/s]



preprocess datasets #3:  89%|████████▊ | 837/944 [00:28<00:03, 35.26ex/s]

preprocess datasets #1:  34%|███▍      | 323/945 [00:28<00:45, 13.66ex/s]
preprocess datasets #0:  37%|███▋      | 347/945 [00:28<00:57, 10.43ex/s]


preprocess datasets #2:  97%|█████████▋| 914/945 [00:28<00:00, 38.45ex/s]



preprocess datasets #3:  89%|████████▉ | 841/944 [00:28<00:02, 34.34ex/s]

preprocess datasets #1:  34%|███▍      | 325/945 [00:28<00:45, 13.70ex/s]
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preprocess datasets #2:  97%|█████████▋| 920/945 [00:28<00:00, 40.85ex/s]



preprocess datasets #3:  90%|████████▉ | 847/944 [00:28<00:02, 40.92ex/s]

preprocess datasets #1:  35%|███▍      | 327/945 [00:28<00:45, 13.69ex/s]



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preprocess datasets #2:  98%|█████████▊| 925/945 [00:28<00:00, 39.55ex/s]


preprocess datasets #2:  98%|█████████▊| 929/945 [00:28<00:00, 38.42ex/s]
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preprocess datasets #1:  35%|███▍      | 329/945 [00:28<00:44, 14.00ex/s]



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preprocess datasets #1:  35%|███▌      | 331/945 [00:28<00:43, 14.18ex/s]



preprocess datasets #3:  91%|█████████▏| 862/944 [00:28<00:02, 38.40ex/s]
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preprocess datasets #2:  99%|█████████▉| 939/945 [00:28<00:00, 43.37ex/s]



preprocess datasets #3:  92%|█████████▏| 866/944 [00:28<00:02, 36.65ex/s]

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preprocess datasets #2: 100%|█████████▉| 944/945 [00:28<00:00, 44.38ex/s]
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preprocess datasets #0:  38%|███▊      | 355/945 [00:28<00:54, 10.80ex/s]



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preprocess datasets #1:  36%|███▌      | 337/945 [00:29<00:40, 15.04ex/s]



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preprocess datasets #1:  36%|███▌      | 339/945 [00:29<00:46, 13.15ex/s]



preprocess datasets #3:  94%|█████████▎| 883/944 [00:29<00:01, 34.05ex/s]

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preprocess datasets #1:  37%|███▋      | 345/945 [00:29<00:45, 13.14ex/s]



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preprocess datasets #3:  96%|█████████▌| 906/944 [00:29<00:00, 40.22ex/s]

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preprocess datasets #3:  97%|█████████▋| 911/944 [00:30<00:00, 40.44ex/s]
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preprocess datasets #1:  37%|███▋      | 351/945 [00:30<00:42, 14.13ex/s]



preprocess datasets #3:  97%|█████████▋| 916/944 [00:30<00:00, 40.33ex/s]
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preprocess datasets #3:  98%|█████████▊| 921/944 [00:30<00:00, 41.68ex/s]

preprocess datasets #1:  37%|███▋      | 353/945 [00:30<00:44, 13.37ex/s]
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preprocess datasets #1:  38%|███▊      | 355/945 [00:30<00:39, 14.84ex/s]
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preprocess datasets #1:  38%|███▊      | 357/945 [00:30<00:41, 14.03ex/s]



preprocess datasets #3:  99%|█████████▊| 931/944 [00:30<00:00, 31.99ex/s]
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preprocess datasets #1:  38%|███▊      | 361/945 [00:30<00:44, 13.14ex/s]
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preprocess datasets #1:  38%|███▊      | 363/945 [00:31<00:45, 12.90ex/s]



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preprocess datasets #3: 100%|██████████| 944/944 [00:31<00:00, 30.25ex/s]


preprocess datasets #1:  39%|███▊      | 365/945 [00:31<00:42, 13.80ex/s]
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Feature extractor saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/preprocessor_config.json
tokenizer config file saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/tokenizer_config.json
Special tokens file saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/special_tokens_map.json
added tokens file saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/added_tokens.json
Configuration saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/config.json
loading configuration file experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/preprocessor_config.json
loading configuration file experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/config.json
Model config Wav2Vec2Config {
  "_name_or_path": "experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/",
  "activation_dropout": 0.0,
  "adapter_kernel_size": 3,
  "adapter_stride": 2,
  "add_adapter": false,
  "apply_spec_augment": true,
  "architectures": [
    "Wav2Vec2ForCTC"
  ],
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "classifier_proj_size": 256,
  "codevector_dim": 256,
  "contrastive_logits_temperature": 0.1,
  "conv_bias": true,
  "conv_dim": [
    512,
    512,
    512,
    512,
    512,
    512,
    512
  ],
  "conv_kernel": [
    10,
    3,
    3,
    3,
    3,
    2,
    2
  ],
  "conv_stride": [
    5,
    2,
    2,
    2,
    2,
    2,
    2
  ],
  "ctc_loss_reduction": "mean",
  "ctc_zero_infinity": true,
  "diversity_loss_weight": 0.1,
  "do_stable_layer_norm": true,
  "eos_token_id": 2,
  "feat_extract_activation": "gelu",
  "feat_extract_dropout": 0.0,
  "feat_extract_norm": "layer",
  "feat_proj_dropout": 0.05,
  "feat_quantizer_dropout": 0.0,
  "final_dropout": 0.0,
  "hidden_act": "gelu",
  "hidden_dropout": 0.0,
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "layer_norm_eps": 1e-05,
  "layerdrop": 0.0,
  "mask_feature_length": 12,
  "mask_feature_min_masks": 0,
  "mask_feature_prob": 0.0,
  "mask_time_length": 12,
  "mask_time_min_masks": 2,
  "mask_time_prob": 0.075,
  "model_type": "wav2vec2",
  "num_adapter_layers": 3,
  "num_attention_heads": 16,
  "num_codevector_groups": 2,
  "num_codevectors_per_group": 320,
  "num_conv_pos_embedding_groups": 16,
  "num_conv_pos_embeddings": 128,
  "num_feat_extract_layers": 7,
  "num_hidden_layers": 24,
  "num_negatives": 100,
  "output_hidden_size": 1024,
  "pad_token_id": 28,
  "proj_codevector_dim": 256,
  "tdnn_dilation": [
    1,
    2,
    3,
    1,
    1
  ],
  "tdnn_dim": [
    512,
    512,
    512,
    512,
    1500
  ],
  "tdnn_kernel": [
    5,
    3,
    3,
    1,
    1
  ],
  "transformers_version": "4.24.0",
  "use_weighted_layer_sum": false,
  "vocab_size": 31,
  "xvector_output_dim": 512
}

loading configuration file experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/preprocessor_config.json
Feature extractor Wav2Vec2FeatureExtractor {
  "do_normalize": true,
  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
  "feature_size": 1,
  "padding_side": "right",
  "padding_value": 0.0,
  "return_attention_mask": true,
  "sampling_rate": 16000
}

loading file vocab.json
loading file tokenizer_config.json
loading file added_tokens.json
loading file special_tokens_map.json
Adding <s> to the vocabulary
Adding </s> to the vocabulary
max_steps is given, it will override any value given in num_train_epochs
Using cuda_amp half precision backend
The following columns in the training set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
/idiap/user/jzuluaga/miniconda3/envs/w2v2/lib/python3.10/site-packages/transformers/optimization.py:306: FutureWarning: This implementation of AdamW is deprecated and will be removed in a future version. Use the PyTorch implementation torch.optim.AdamW instead, or set `no_deprecation_warning=True` to disable this warning
  warnings.warn(
***** Running training *****
  Num examples = 18925
  Num Epochs = 13
  Instantaneous batch size per device = 24
  Total train batch size (w. parallel, distributed & accumulation) = 24
  Gradient Accumulation steps = 1
  Total optimization steps = 10000
  Number of trainable parameters = 311260319

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  5%|▌         | 500/10000 [08:04<54:08,  2.92it/s]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12


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 10%|█         | 1000/10000 [18:43<3:22:07,  1.35s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 2.2638113498687744, 'eval_wer': 0.9359337678636492, 'eval_runtime': 149.9992, 'eval_samples_per_second': 31.487, 'eval_steps_per_second': 2.627, 'epoch': 0.63}
{'loss': 2.6089, 'learning_rate': 9.970000000000001e-05, 'epoch': 1.27}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-1000
Configuration saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-1000/config.json
Model weights saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-1000/pytorch_model.bin
Feature extractor saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-1000/preprocessor_config.json

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 15%|█▌        | 1500/10000 [29:11<3:04:31,  1.30s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.7277476787567139, 'eval_wer': 0.24067851503987692, 'eval_runtime': 148.226, 'eval_samples_per_second': 31.864, 'eval_steps_per_second': 2.658, 'epoch': 1.27}


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 20%|██        | 2000/10000 [39:35<2:15:40,  1.02s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.5800275802612305, 'eval_wer': 0.1745475891664305, 'eval_runtime': 148.0487, 'eval_samples_per_second': 31.902, 'eval_steps_per_second': 2.661, 'epoch': 1.9}
{'loss': 0.6019, 'learning_rate': 8.892222222222223e-05, 'epoch': 2.53}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-2000
Configuration saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-2000/config.json
Model weights saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-2000/pytorch_model.bin
Feature extractor saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-2000/preprocessor_config.json
Deleting older checkpoint [experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-1000] due to args.save_total_limit

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 25%|██▌       | 2500/10000 [50:03<1:42:47,  1.22it/s]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.48867326974868774, 'eval_wer': 0.15135014776729688, 'eval_runtime': 148.4526, 'eval_samples_per_second': 31.815, 'eval_steps_per_second': 2.654, 'epoch': 2.53}


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 30%|███       | 3000/10000 [1:00:23<1:31:27,  1.28it/s]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.466572642326355, 'eval_wer': 0.14213999433221328, 'eval_runtime': 148.0238, 'eval_samples_per_second': 31.907, 'eval_steps_per_second': 2.662, 'epoch': 3.17}
{'loss': 0.4722, 'learning_rate': 7.78111111111111e-05, 'epoch': 3.8}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-3000
Configuration saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-3000/config.json
Model weights saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-3000/pytorch_model.bin
Feature extractor saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-3000/preprocessor_config.json
Deleting older checkpoint [experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-2000] due to args.save_total_limit

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 35%|███▌      | 3500/10000 [1:10:52<58:08,  1.86it/s]  The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.44257038831710815, 'eval_wer': 0.14505485607870128, 'eval_runtime': 149.7003, 'eval_samples_per_second': 31.55, 'eval_steps_per_second': 2.632, 'epoch': 3.8}


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 40%|████      | 4000/10000 [1:21:16<2:22:55,  1.43s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.41759932041168213, 'eval_wer': 0.12481276061697907, 'eval_runtime': 149.0588, 'eval_samples_per_second': 31.685, 'eval_steps_per_second': 2.643, 'epoch': 4.44}
{'loss': 0.4278, 'learning_rate': 6.671111111111111e-05, 'epoch': 5.07}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-4000
Configuration saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-4000/config.json
Model weights saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-4000/pytorch_model.bin
Feature extractor saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-4000/preprocessor_config.json
Deleting older checkpoint [experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-3000] due to args.save_total_limit

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 45%|████▌     | 4500/10000 [1:31:57<2:18:03,  1.51s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.4364745318889618, 'eval_wer': 0.12388162422573985, 'eval_runtime': 148.5505, 'eval_samples_per_second': 31.794, 'eval_steps_per_second': 2.652, 'epoch': 5.07}


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 50%|█████     | 5000/10000 [1:42:39<1:45:19,  1.26s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.3815610408782959, 'eval_wer': 0.1177280272053763, 'eval_runtime': 149.3382, 'eval_samples_per_second': 31.626, 'eval_steps_per_second': 2.638, 'epoch': 5.7}
{'loss': 0.369, 'learning_rate': 5.560000000000001e-05, 'epoch': 6.34}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-5000
Configuration saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-5000/config.json
Model weights saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-5000/pytorch_model.bin
Feature extractor saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-5000/preprocessor_config.json
Deleting older checkpoint [experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-4000] due to args.save_total_limit

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 55%|█████▌    | 5500/10000 [1:53:45<1:22:46,  1.10s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.4113306403160095, 'eval_wer': 0.11716124853244808, 'eval_runtime': 159.7075, 'eval_samples_per_second': 29.573, 'eval_steps_per_second': 2.467, 'epoch': 6.34}


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 60%|██████    | 6000/10000 [2:04:28<1:01:58,  1.08it/s]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.3862614035606384, 'eval_wer': 0.1230112141208858, 'eval_runtime': 152.4609, 'eval_samples_per_second': 30.978, 'eval_steps_per_second': 2.584, 'epoch': 6.97}
{'loss': 0.341, 'learning_rate': 4.448888888888889e-05, 'epoch': 7.6}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-6000
Configuration saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-6000/config.json
Model weights saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-6000/pytorch_model.bin
Feature extractor saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-6000/preprocessor_config.json
Deleting older checkpoint [experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-5000] due to args.save_total_limit

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 65%|██████▌   | 6500/10000 [2:15:39<44:41,  1.31it/s]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.384976863861084, 'eval_wer': 0.1116149143759362, 'eval_runtime': 159.7493, 'eval_samples_per_second': 29.565, 'eval_steps_per_second': 2.466, 'epoch': 7.6}


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 70%|███████   | 7000/10000 [2:26:56<41:32,  1.20it/s]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.401400089263916, 'eval_wer': 0.11406420792680458, 'eval_runtime': 155.917, 'eval_samples_per_second': 30.292, 'eval_steps_per_second': 2.527, 'epoch': 8.24}
{'loss': 0.3119, 'learning_rate': 3.337777777777778e-05, 'epoch': 8.87}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-7000
Configuration saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-7000/config.json
Model weights saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-7000/pytorch_model.bin
Feature extractor saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-7000/preprocessor_config.json
Deleting older checkpoint [experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-6000] due to args.save_total_limit

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 75%|███████▌  | 7500/10000 [2:38:35<16:16,  2.56it/s]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.39530250430107117, 'eval_wer': 0.10782964252459415, 'eval_runtime': 165.7417, 'eval_samples_per_second': 28.496, 'eval_steps_per_second': 2.377, 'epoch': 8.87}


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 80%|████████  | 8000/10000 [2:50:01<49:21,  1.48s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.4018384516239166, 'eval_wer': 0.10801182138374965, 'eval_runtime': 163.4263, 'eval_samples_per_second': 28.9, 'eval_steps_per_second': 2.411, 'epoch': 9.51}
{'loss': 0.3008, 'learning_rate': 2.2277777777777778e-05, 'epoch': 10.14}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-8000
Configuration saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-8000/config.json
Model weights saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-8000/pytorch_model.bin
Feature extractor saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-8000/preprocessor_config.json
Deleting older checkpoint [experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-7000] due to args.save_total_limit

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 85%|████████▌ | 8500/10000 [3:01:48<37:24,  1.50s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.3963571786880493, 'eval_wer': 0.10744504271082142, 'eval_runtime': 172.5171, 'eval_samples_per_second': 27.377, 'eval_steps_per_second': 2.284, 'epoch': 10.14}


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 90%|█████████ | 9000/10000 [3:13:17<19:08,  1.15s/it]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.39167362451553345, 'eval_wer': 0.10780940042913242, 'eval_runtime': 165.6389, 'eval_samples_per_second': 28.514, 'eval_steps_per_second': 2.379, 'epoch': 10.77}
{'loss': 0.2741, 'learning_rate': 1.1166666666666668e-05, 'epoch': 11.41}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-9000
Configuration saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-9000/config.json
Model weights saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-9000/pytorch_model.bin
Feature extractor saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-9000/preprocessor_config.json
Deleting older checkpoint [experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-8000] due to args.save_total_limit

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 95%|█████████▌| 9500/10000 [3:24:56<07:35,  1.10it/s]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.3961273431777954, 'eval_wer': 0.10568398040565159, 'eval_runtime': 164.9191, 'eval_samples_per_second': 28.638, 'eval_steps_per_second': 2.389, 'epoch': 11.41}


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100%|██████████| 10000/10000 [3:36:20<00:00,  1.06it/s]The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.39744970202445984, 'eval_wer': 0.10529938059187888, 'eval_runtime': 164.8733, 'eval_samples_per_second': 28.646, 'eval_steps_per_second': 2.39, 'epoch': 12.04}
{'loss': 0.2531, 'learning_rate': 5.555555555555556e-08, 'epoch': 12.67}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-10000
Configuration saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-10000/config.json
Model weights saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-10000/pytorch_model.bin
Feature extractor saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-10000/preprocessor_config.json
Deleting older checkpoint [experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/checkpoint-9000] due to args.save_total_limit


Training completed. Do not forget to share your model on huggingface.co/models =)



                                                       

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Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/
Configuration saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/config.json
Model weights saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/pytorch_model.bin
Feature extractor saved in experiments/results/bs_exp/linear/wav2vec2-large-960h-lv60-self/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/preprocessor_config.json
{'eval_loss': 0.40417608618736267, 'eval_wer': 0.10485405449172099, 'eval_runtime': 164.6908, 'eval_samples_per_second': 28.678, 'eval_steps_per_second': 2.392, 'epoch': 12.67}
{'train_runtime': 13155.4001, 'train_samples_per_second': 18.243, 'train_steps_per_second': 0.76, 'train_loss': 0.5960800704956055, 'epoch': 12.67}
***** train metrics *****
  epoch                    =      12.67
  train_loss               =     0.5961
  train_runtime            = 3:39:15.40
  train_samples            =      18925
  train_samples_per_second =     18.243
  train_steps_per_second   =       0.76
11/28/2022 11:59:48 - INFO - __main__ - *** Evaluate ***
The following columns in the evaluation set don't have a corresponding argument in `Wav2Vec2ForCTC.forward` and have been ignored: input_length. If input_length are not expected by `Wav2Vec2ForCTC.forward`,  you can safely ignore this message.
***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12

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Dropping the following result as it does not have all the necessary fields:
{'metrics': [{'name': 'Wer', 'type': 'wer', 'value': 0.10485405449172099}]}
***** eval metrics *****
  epoch                   =      12.67
  eval_loss               =     0.4042
  eval_runtime            = 0:02:43.54
  eval_samples            =       4723
  eval_samples_per_second =     28.879
  eval_steps_per_second   =      2.409
  eval_wer                =     0.1049
# Accounting: time=14013 threads=1
# Finished at Mon 28 Nov 12:02:34 CET 2022 with status 0