# Running on vgni005
# Started at Mon 28 Nov 08:08:31 CET 2022
# python3 src/run_speech_recognition_ctc.py --report_to=none --run_name=experiments/results/bs_exp/linear/wav2vec2-xls-r-300m/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-xls-r-300m --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-xls-r-300m/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 08:08:41 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True
11/28/2022 08:08:41 - 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-xls-r-300m/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/runs/Nov28_08-08-40_vgni005,
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-xls-r-300m/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-xls-r-300m/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 08:08:41 - 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-xls-r-300m/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-xls-r-300m/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 08:09:56 - 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-xls-r-300m/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-xls-r-300m/snapshots/1a640f32ac3e39899438a2931f9924c02f080a54/config.json
Model config Wav2Vec2Config {
  "_name_or_path": "facebook/wav2vec2-xls-r-300m",
  "activation_dropout": 0.0,
  "adapter_kernel_size": 3,
  "adapter_stride": 2,
  "add_adapter": false,
  "apply_spec_augment": true,
  "architectures": [
    "Wav2Vec2ForPreTraining"
  ],
  "attention_dropout": 0.1,
  "bos_token_id": 1,
  "classifier_proj_size": 256,
  "codevector_dim": 768,
  "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": 0.0,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout": 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": 0.075,
  "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": 0,
  "proj_codevector_dim": 768,
  "tdnn_dilation": [
    1,
    2,
    3,
    1,
    1
  ],
  "tdnn_dim": [
    512,
    512,
    512,
    512,
    1500
  ],
  "tdnn_kernel": [
    5,
    3,
    3,
    1,
    1
  ],
  "torch_dtype": "float32",
  "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-xls-r-300m/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-xls-r-300m/snapshots/1a640f32ac3e39899438a2931f9924c02f080a54/preprocessor_config.json
Feature extractor Wav2Vec2FeatureExtractor {
  "do_normalize": true,
  "feature_extractor_type": "Wav2Vec2FeatureExtractor",
  "feature_size": 1,
  "padding_side": "right",
  "padding_value": 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-xls-r-300m/snapshots/1a640f32ac3e39899438a2931f9924c02f080a54/pytorch_model.bin
Some weights of the model checkpoint at facebook/wav2vec2-xls-r-300m were not used when initializing Wav2Vec2ForCTC: ['project_q.bias', 'project_q.weight', 'project_hid.weight', 'quantizer.weight_proj.bias', 'quantizer.weight_proj.weight', 'project_hid.bias', 'quantizer.codevectors']
- This IS expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).
- This IS NOT expected if you are initializing Wav2Vec2ForCTC from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).
Some weights of Wav2Vec2ForCTC were not initialized from the model checkpoint at facebook/wav2vec2-xls-r-300m and are newly initialized: ['lm_head.bias', 'lm_head.weight']
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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  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=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")

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  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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  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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  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:   6%|▌         | 209/3785 [00:09<02:02, 29.19ex/s]
preprocess datasets #0:   2%|▏         | 81/3786 [00:09<05:11, 11.90ex/s]



preprocess datasets #3:   6%|▌         | 224/3786 [00:09<02:11, 27.02ex/s]




preprocess datasets #4:   6%|▌         | 213/3785 [00:09<02:03, 28.84ex/s]


preprocess datasets #2:   5%|▌         | 190/3786 [00:09<02:11, 27.35ex/s]

preprocess datasets #1:   3%|▎         | 121/3786 [00:09<04:57, 12.32ex/s]




preprocess datasets #4:   6%|▌         | 217/3785 [00:09<01:57, 30.43ex/s]



preprocess datasets #3:   6%|▌         | 227/3786 [00:09<02:27, 24.10ex/s]


preprocess datasets #2:   5%|▌         | 193/3786 [00:09<02:14, 26.69ex/s]
preprocess datasets #0:   2%|▏         | 83/3786 [00:09<05:59, 10.30ex/s]

preprocess datasets #1:   3%|▎         | 123/3786 [00:09<05:00, 12.20ex/s]




preprocess datasets #4:   6%|▌         | 221/3785 [00:09<01:51, 31.91ex/s]



preprocess datasets #3:   6%|▌         | 231/3786 [00:09<02:14, 26.39ex/s]


preprocess datasets #2:   5%|▌         | 196/3786 [00:09<02:16, 26.27ex/s]

preprocess datasets #1:   3%|▎         | 125/3786 [00:09<04:45, 12.84ex/s]
preprocess datasets #0:   2%|▏         | 85/3786 [00:09<05:43, 10.77ex/s]


preprocess datasets #2:   5%|▌         | 199/3786 [00:09<02:18, 25.98ex/s]



preprocess datasets #3:   6%|▌         | 235/3786 [00:09<02:13, 26.62ex/s]




preprocess datasets #4:   6%|▌         | 225/3785 [00:09<02:01, 29.32ex/s]


preprocess datasets #2:   5%|▌         | 204/3786 [00:09<02:00, 29.85ex/s]

preprocess datasets #1:   3%|▎         | 127/3786 [00:09<04:52, 12.51ex/s]
preprocess datasets #0:   2%|▏         | 87/3786 [00:09<05:32, 11.13ex/s]



preprocess datasets #3:   6%|▋         | 238/3786 [00:09<02:22, 24.88ex/s]




preprocess datasets #4:   6%|▌         | 229/3785 [00:09<02:19, 25.58ex/s]



preprocess datasets #3:   6%|▋         | 241/3786 [00:09<02:19, 25.39ex/s]


preprocess datasets #2:   5%|▌         | 208/3786 [00:09<02:05, 28.44ex/s]
preprocess datasets #0:   2%|▏         | 89/3786 [00:10<05:27, 11.29ex/s]




preprocess datasets #4:   6%|▌         | 233/3785 [00:09<02:04, 28.52ex/s]



preprocess datasets #3:   6%|▋         | 244/3786 [00:10<02:30, 23.55ex/s]

preprocess datasets #1:   3%|▎         | 129/3786 [00:10<05:59, 10.18ex/s]


preprocess datasets #2:   6%|▌         | 211/3786 [00:10<02:18, 25.81ex/s]
preprocess datasets #0:   2%|▏         | 91/3786 [00:10<05:21, 11.51ex/s]


preprocess datasets #2:   6%|▌         | 215/3786 [00:10<02:04, 28.65ex/s]



preprocess datasets #3:   7%|▋         | 247/3786 [00:10<02:33, 23.03ex/s]




preprocess datasets #4:   6%|▋         | 237/3785 [00:10<02:30, 23.53ex/s]

preprocess datasets #1:   3%|▎         | 131/3786 [00:10<05:53, 10.33ex/s]
preprocess datasets #0:   2%|▏         | 93/3786 [00:10<05:10, 11.89ex/s]


preprocess datasets #2:   6%|▌         | 221/3786 [00:10<01:38, 36.24ex/s]



preprocess datasets #3:   7%|▋         | 250/3786 [00:10<02:40, 22.02ex/s]




preprocess datasets #4:   6%|▋         | 241/3785 [00:10<02:25, 24.29ex/s]


preprocess datasets #2:   6%|▌         | 225/3786 [00:10<01:38, 36.11ex/s]

preprocess datasets #1:   4%|▎         | 133/3786 [00:10<05:49, 10.44ex/s]



preprocess datasets #3:   7%|▋         | 253/3786 [00:10<02:33, 23.04ex/s]




preprocess datasets #4:   6%|▋         | 244/3785 [00:10<02:33, 23.07ex/s]
preprocess datasets #0:   3%|▎         | 95/3786 [00:10<05:52, 10.46ex/s]


preprocess datasets #2:   6%|▌         | 231/3786 [00:10<01:41, 34.89ex/s]



preprocess datasets #3:   7%|▋         | 256/3786 [00:10<02:36, 22.55ex/s]




preprocess datasets #4:   7%|▋         | 248/3785 [00:10<02:17, 25.70ex/s]

preprocess datasets #1:   4%|▎         | 135/3786 [00:10<05:47, 10.51ex/s]


preprocess datasets #2:   6%|▌         | 235/3786 [00:10<01:41, 34.90ex/s]
preprocess datasets #0:   3%|▎         | 97/3786 [00:10<05:41, 10.80ex/s]



preprocess datasets #3:   7%|▋         | 261/3786 [00:10<02:14, 26.22ex/s]




preprocess datasets #4:   7%|▋         | 253/3785 [00:10<02:02, 28.82ex/s]

preprocess datasets #1:   4%|▎         | 137/3786 [00:10<05:32, 10.99ex/s]
preprocess datasets #0:   3%|▎         | 99/3786 [00:10<05:18, 11.57ex/s]


preprocess datasets #2:   6%|▋         | 240/3786 [00:10<01:47, 32.85ex/s]



preprocess datasets #3:   7%|▋         | 264/3786 [00:10<02:16, 25.79ex/s]




preprocess datasets #4:   7%|▋         | 257/3785 [00:10<01:56, 30.30ex/s]

preprocess datasets #1:   4%|▎         | 139/3786 [00:10<05:27, 11.15ex/s]



preprocess datasets #3:   7%|▋         | 269/3786 [00:10<01:58, 29.74ex/s]
preprocess datasets #0:   3%|▎         | 101/3786 [00:11<05:30, 11.14ex/s]


preprocess datasets #2:   6%|▋         | 244/3786 [00:11<02:10, 27.19ex/s]




preprocess datasets #4:   7%|▋         | 261/3785 [00:11<02:17, 25.59ex/s]

preprocess datasets #1:   4%|▎         | 141/3786 [00:11<05:10, 11.74ex/s]



preprocess datasets #3:   7%|▋         | 273/3786 [00:11<01:55, 30.34ex/s]




preprocess datasets #4:   7%|▋         | 265/3785 [00:11<02:05, 28.09ex/s]
preprocess datasets #0:   3%|▎         | 103/3786 [00:11<05:21, 11.45ex/s]


preprocess datasets #2:   7%|▋         | 248/3786 [00:11<02:08, 27.57ex/s]



preprocess datasets #3:   7%|▋         | 277/3786 [00:11<02:02, 28.66ex/s]

preprocess datasets #1:   4%|▍         | 143/3786 [00:11<05:09, 11.78ex/s]
preprocess datasets #0:   3%|▎         | 105/3786 [00:11<04:43, 13.00ex/s]




preprocess datasets #4:   7%|▋         | 269/3785 [00:11<02:04, 28.34ex/s]


preprocess datasets #2:   7%|▋         | 251/3786 [00:11<02:11, 26.91ex/s]



preprocess datasets #3:   7%|▋         | 281/3786 [00:11<01:55, 30.33ex/s]
preprocess datasets #0:   3%|▎         | 107/3786 [00:11<04:41, 13.07ex/s]




preprocess datasets #4:   7%|▋         | 274/3785 [00:11<01:52, 31.33ex/s]

preprocess datasets #1:   4%|▍         | 145/3786 [00:11<05:24, 11.21ex/s]



preprocess datasets #3:   8%|▊         | 285/3786 [00:11<01:49, 32.00ex/s]


preprocess datasets #2:   7%|▋         | 254/3786 [00:11<02:32, 23.23ex/s]




preprocess datasets #4:   7%|▋         | 278/3785 [00:11<01:55, 30.26ex/s]

preprocess datasets #1:   4%|▍         | 147/3786 [00:11<05:00, 12.11ex/s]
preprocess datasets #0:   3%|▎         | 109/3786 [00:11<04:59, 12.29ex/s]


preprocess datasets #2:   7%|▋         | 257/3786 [00:11<02:36, 22.58ex/s]



preprocess datasets #3:   8%|▊         | 289/3786 [00:11<02:11, 26.63ex/s]




preprocess datasets #4:   7%|▋         | 282/3785 [00:11<01:59, 29.36ex/s]

preprocess datasets #1:   4%|▍         | 149/3786 [00:11<05:22, 11.27ex/s]
preprocess datasets #0:   3%|▎         | 111/3786 [00:11<05:20, 11.48ex/s]


preprocess datasets #2:   7%|▋         | 260/3786 [00:11<02:50, 20.73ex/s]




preprocess datasets #4:   8%|▊         | 288/3785 [00:11<01:37, 36.00ex/s]



preprocess datasets #3:   8%|▊         | 292/3786 [00:11<02:23, 24.40ex/s]


preprocess datasets #2:   7%|▋         | 263/3786 [00:11<02:42, 21.72ex/s]

preprocess datasets #1:   4%|▍         | 151/3786 [00:12<05:06, 11.86ex/s]



preprocess datasets #3:   8%|▊         | 295/3786 [00:11<02:17, 25.36ex/s]




preprocess datasets #4:   8%|▊         | 292/3785 [00:12<01:49, 31.83ex/s]
preprocess datasets #0:   3%|▎         | 113/3786 [00:12<05:27, 11.21ex/s]


preprocess datasets #2:   7%|▋         | 266/3786 [00:12<02:37, 22.34ex/s]



preprocess datasets #3:   8%|▊         | 298/3786 [00:12<02:33, 22.73ex/s]




preprocess datasets #4:   8%|▊         | 296/3785 [00:12<01:50, 31.70ex/s]

preprocess datasets #1:   4%|▍         | 153/3786 [00:12<05:30, 10.98ex/s]


preprocess datasets #2:   7%|▋         | 269/3786 [00:12<02:33, 22.90ex/s]



preprocess datasets #3:   8%|▊         | 303/3786 [00:12<02:03, 28.14ex/s]
preprocess datasets #0:   3%|▎         | 115/3786 [00:12<06:20,  9.65ex/s]




preprocess datasets #4:   8%|▊         | 300/3785 [00:12<02:00, 28.85ex/s]


preprocess datasets #2:   7%|▋         | 272/3786 [00:12<02:29, 23.53ex/s]

preprocess datasets #1:   4%|▍         | 155/3786 [00:12<05:22, 11.27ex/s]



preprocess datasets #3:   8%|▊         | 309/3786 [00:12<01:42, 33.90ex/s]


preprocess datasets #2:   7%|▋         | 275/3786 [00:12<02:29, 23.51ex/s]




preprocess datasets #4:   8%|▊         | 304/3785 [00:12<02:04, 27.90ex/s]



preprocess datasets #3:   8%|▊         | 313/3786 [00:12<01:45, 32.77ex/s]
preprocess datasets #0:   3%|▎         | 118/3786 [00:12<05:33, 11.00ex/s]

preprocess datasets #1:   4%|▍         | 157/3786 [00:12<05:47, 10.45ex/s]




preprocess datasets #4:   8%|▊         | 309/3785 [00:12<01:53, 30.62ex/s]


preprocess datasets #2:   7%|▋         | 278/3786 [00:12<02:41, 21.79ex/s]



preprocess datasets #3:   8%|▊         | 317/3786 [00:12<01:54, 30.37ex/s]
preprocess datasets #0:   3%|▎         | 120/3786 [00:12<05:27, 11.19ex/s]




preprocess datasets #4:   8%|▊         | 313/3785 [00:12<01:52, 30.92ex/s]


preprocess datasets #2:   7%|▋         | 283/3786 [00:12<02:12, 26.37ex/s]

preprocess datasets #1:   4%|▍         | 159/3786 [00:12<05:55, 10.21ex/s]



preprocess datasets #3:   8%|▊         | 321/3786 [00:12<01:56, 29.83ex/s]
preprocess datasets #0:   3%|▎         | 122/3786 [00:12<05:00, 12.20ex/s]


preprocess datasets #2:   8%|▊         | 286/3786 [00:12<02:14, 25.93ex/s]




preprocess datasets #4:   8%|▊         | 317/3785 [00:12<01:56, 29.82ex/s]



preprocess datasets #3:   9%|▊         | 325/3786 [00:12<01:53, 30.56ex/s]
preprocess datasets #0:   3%|▎         | 124/3786 [00:13<04:52, 12.53ex/s]

preprocess datasets #1:   4%|▍         | 161/3786 [00:13<06:00, 10.05ex/s]




preprocess datasets #4:   9%|▊         | 322/3785 [00:12<01:44, 33.07ex/s]


preprocess datasets #2:   8%|▊         | 289/3786 [00:13<02:29, 23.45ex/s]



preprocess datasets #3:   9%|▊         | 329/3786 [00:13<01:58, 29.16ex/s]
preprocess datasets #0:   3%|▎         | 126/3786 [00:13<04:50, 12.61ex/s]




preprocess datasets #4:   9%|▊         | 326/3785 [00:13<01:45, 32.67ex/s]


preprocess datasets #2:   8%|▊         | 293/3786 [00:13<02:10, 26.80ex/s]



preprocess datasets #3:   9%|▉         | 333/3786 [00:13<01:54, 30.23ex/s]

preprocess datasets #1:   4%|▍         | 163/3786 [00:13<06:13,  9.69ex/s]


preprocess datasets #2:   8%|▊         | 296/3786 [00:13<02:17, 25.45ex/s]




preprocess datasets #4:   9%|▊         | 330/3785 [00:13<01:54, 30.26ex/s]
preprocess datasets #0:   3%|▎         | 128/3786 [00:13<04:59, 12.20ex/s]



preprocess datasets #3:   9%|▉         | 337/3786 [00:13<01:52, 30.65ex/s]

preprocess datasets #1:   4%|▍         | 165/3786 [00:13<05:51, 10.31ex/s]


preprocess datasets #2:   8%|▊         | 300/3786 [00:13<02:05, 27.86ex/s]




preprocess datasets #4:   9%|▉         | 334/3785 [00:13<01:58, 29.11ex/s]



preprocess datasets #3:   9%|▉         | 341/3786 [00:13<01:48, 31.69ex/s]
preprocess datasets #0:   3%|▎         | 130/3786 [00:13<05:08, 11.87ex/s]


preprocess datasets #2:   8%|▊         | 304/3786 [00:13<01:56, 29.90ex/s]




preprocess datasets #4:   9%|▉         | 337/3785 [00:13<02:05, 27.37ex/s]

preprocess datasets #1:   4%|▍         | 167/3786 [00:13<05:51, 10.30ex/s]



preprocess datasets #3:   9%|▉         | 345/3786 [00:13<01:51, 30.91ex/s]
preprocess datasets #0:   3%|▎         | 132/3786 [00:13<04:46, 12.77ex/s]


preprocess datasets #2:   8%|▊         | 308/3786 [00:13<01:51, 31.31ex/s]




preprocess datasets #4:   9%|▉         | 341/3785 [00:13<01:59, 28.87ex/s]



preprocess datasets #3:   9%|▉         | 350/3786 [00:13<01:47, 31.86ex/s]
preprocess datasets #0:   4%|▎         | 134/3786 [00:13<04:41, 12.97ex/s]

preprocess datasets #1:   4%|▍         | 169/3786 [00:13<05:48, 10.38ex/s]


preprocess datasets #2:   8%|▊         | 312/3786 [00:13<01:55, 30.20ex/s]




preprocess datasets #4:   9%|▉         | 344/3785 [00:13<02:04, 27.62ex/s]



preprocess datasets #3:   9%|▉         | 355/3786 [00:13<01:36, 35.39ex/s]
preprocess datasets #0:   4%|▎         | 136/3786 [00:13<04:17, 14.17ex/s]

preprocess datasets #1:   5%|▍         | 171/3786 [00:13<05:14, 11.50ex/s]




preprocess datasets #4:   9%|▉         | 347/3785 [00:13<02:07, 26.98ex/s]


preprocess datasets #2:   8%|▊         | 316/3786 [00:13<02:06, 27.41ex/s]



preprocess datasets #3:  10%|▉         | 362/3786 [00:13<01:23, 40.93ex/s]
preprocess datasets #0:   4%|▎         | 138/3786 [00:14<04:19, 14.07ex/s]

preprocess datasets #1:   5%|▍         | 173/3786 [00:14<05:18, 11.33ex/s]




preprocess datasets #4:   9%|▉         | 350/3785 [00:14<02:20, 24.38ex/s]


preprocess datasets #2:   8%|▊         | 319/3786 [00:14<02:21, 24.56ex/s]



preprocess datasets #3:  10%|▉         | 367/3786 [00:14<01:34, 36.36ex/s]
preprocess datasets #0:   4%|▎         | 140/3786 [00:14<04:48, 12.64ex/s]


preprocess datasets #2:   9%|▊         | 322/3786 [00:14<02:20, 24.63ex/s]




preprocess datasets #4:   9%|▉         | 353/3785 [00:14<02:38, 21.59ex/s]



preprocess datasets #3:  10%|▉         | 371/3786 [00:14<01:35, 35.80ex/s]

preprocess datasets #1:   5%|▍         | 175/3786 [00:14<05:52, 10.24ex/s]


preprocess datasets #2:   9%|▊         | 326/3786 [00:14<02:08, 26.99ex/s]



preprocess datasets #3:  10%|▉         | 375/3786 [00:14<01:44, 32.73ex/s]
preprocess datasets #0:   4%|▍         | 142/3786 [00:14<05:18, 11.44ex/s]




preprocess datasets #4:   9%|▉         | 356/3785 [00:14<02:46, 20.65ex/s]


preprocess datasets #2:   9%|▊         | 330/3786 [00:14<02:02, 28.15ex/s]

preprocess datasets #1:   5%|▍         | 177/3786 [00:14<05:38, 10.65ex/s]



preprocess datasets #3:  10%|█         | 379/3786 [00:14<01:41, 33.53ex/s]




preprocess datasets #4:   9%|▉         | 359/3785 [00:14<02:43, 20.97ex/s]


preprocess datasets #2:   9%|▉         | 335/3786 [00:14<01:45, 32.74ex/s]
preprocess datasets #0:   4%|▍         | 144/3786 [00:14<05:39, 10.72ex/s]



preprocess datasets #3:  10%|█         | 383/3786 [00:14<01:47, 31.60ex/s]




preprocess datasets #4:  10%|▉         | 363/3785 [00:14<02:20, 24.39ex/s]

preprocess datasets #1:   5%|▍         | 179/3786 [00:14<06:12,  9.69ex/s]


preprocess datasets #2:   9%|▉         | 339/3786 [00:14<01:53, 30.43ex/s]




preprocess datasets #4:  10%|▉         | 367/3785 [00:14<02:03, 27.77ex/s]



preprocess datasets #3:  10%|█         | 387/3786 [00:14<01:47, 31.74ex/s]
preprocess datasets #0:   4%|▍         | 146/3786 [00:14<05:56, 10.20ex/s]

preprocess datasets #1:   5%|▍         | 181/3786 [00:14<05:40, 10.58ex/s]



preprocess datasets #3:  10%|█         | 391/3786 [00:14<01:41, 33.57ex/s]




preprocess datasets #4:  10%|▉         | 370/3785 [00:14<02:12, 25.71ex/s]


preprocess datasets #2:   9%|▉         | 343/3786 [00:14<02:18, 24.78ex/s]



preprocess datasets #3:  10%|█         | 396/3786 [00:14<01:29, 37.68ex/s]
preprocess datasets #0:   4%|▍         | 148/3786 [00:15<05:43, 10.59ex/s]




preprocess datasets #4:  10%|▉         | 373/3785 [00:15<02:08, 26.61ex/s]


preprocess datasets #2:   9%|▉         | 346/3786 [00:15<02:20, 24.55ex/s]




preprocess datasets #4:  10%|▉         | 376/3785 [00:15<02:07, 26.82ex/s]



preprocess datasets #3:  11%|█         | 400/3786 [00:15<01:44, 32.37ex/s]

preprocess datasets #1:   5%|▍         | 183/3786 [00:15<06:46,  8.86ex/s]


preprocess datasets #2:   9%|▉         | 352/3786 [00:15<01:56, 29.55ex/s]




preprocess datasets #4:  10%|█         | 380/3785 [00:15<01:55, 29.38ex/s]
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preprocess datasets #3:  11%|█         | 404/3786 [00:15<01:45, 32.07ex/s]

preprocess datasets #1:   5%|▍         | 185/3786 [00:15<06:05,  9.85ex/s]




preprocess datasets #4:  10%|█         | 384/3785 [00:15<01:53, 30.06ex/s]


preprocess datasets #2:   9%|▉         | 356/3786 [00:15<02:09, 26.55ex/s]
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preprocess datasets #3:  11%|█         | 409/3786 [00:15<01:44, 32.32ex/s]




preprocess datasets #4:  10%|█         | 388/3785 [00:15<02:03, 27.50ex/s]
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preprocess datasets #3:  11%|█         | 414/3786 [00:15<01:40, 33.65ex/s]


preprocess datasets #2:   9%|▉         | 359/3786 [00:15<02:22, 24.08ex/s]

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preprocess datasets #4:  10%|█         | 393/3785 [00:15<01:45, 32.07ex/s]


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preprocess datasets #3:  11%|█         | 418/3786 [00:15<01:42, 33.01ex/s]

preprocess datasets #1:   5%|▍         | 188/3786 [00:15<06:49,  8.79ex/s]




preprocess datasets #4:  10%|█         | 397/3785 [00:15<01:40, 33.80ex/s]
preprocess datasets #0:   4%|▍         | 156/3786 [00:15<05:31, 10.96ex/s]



preprocess datasets #3:  11%|█         | 422/3786 [00:15<01:43, 32.58ex/s]


preprocess datasets #2:  10%|▉         | 366/3786 [00:15<02:15, 25.22ex/s]




preprocess datasets #4:  11%|█         | 401/3785 [00:15<01:39, 33.93ex/s]

preprocess datasets #1:   5%|▌         | 190/3786 [00:15<05:57, 10.06ex/s]
preprocess datasets #0:   4%|▍         | 158/3786 [00:15<05:28, 11.05ex/s]


preprocess datasets #2:  10%|▉         | 372/3786 [00:15<01:44, 32.52ex/s]



preprocess datasets #3:  11%|█▏        | 426/3786 [00:15<01:49, 30.63ex/s]




preprocess datasets #4:  11%|█         | 405/3785 [00:16<01:53, 29.73ex/s]

preprocess datasets #1:   5%|▌         | 192/3786 [00:16<05:41, 10.52ex/s]
preprocess datasets #0:   4%|▍         | 160/3786 [00:16<04:50, 12.49ex/s]


preprocess datasets #2:  10%|▉         | 377/3786 [00:16<01:40, 33.82ex/s]



preprocess datasets #3:  11%|█▏        | 430/3786 [00:16<01:53, 29.54ex/s]




preprocess datasets #4:  11%|█         | 409/3785 [00:16<01:55, 29.29ex/s]
preprocess datasets #0:   4%|▍         | 163/3786 [00:16<04:15, 14.20ex/s]

preprocess datasets #1:   5%|▌         | 194/3786 [00:16<05:45, 10.39ex/s]



preprocess datasets #3:  11%|█▏        | 434/3786 [00:16<01:51, 30.20ex/s]


preprocess datasets #2:  10%|█         | 381/3786 [00:16<01:57, 28.91ex/s]




preprocess datasets #4:  11%|█         | 413/3785 [00:16<02:00, 28.09ex/s]

preprocess datasets #1:   5%|▌         | 196/3786 [00:16<05:25, 11.03ex/s]



preprocess datasets #3:  12%|█▏        | 438/3786 [00:16<01:54, 29.22ex/s]


preprocess datasets #2:  10%|█         | 385/3786 [00:16<01:55, 29.41ex/s]
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preprocess datasets #4:  11%|█         | 416/3785 [00:16<01:59, 28.29ex/s]


preprocess datasets #2:  10%|█         | 389/3786 [00:16<01:50, 30.67ex/s]



preprocess datasets #3:  12%|█▏        | 441/3786 [00:16<02:07, 26.25ex/s]




preprocess datasets #4:  11%|█         | 421/3785 [00:16<01:43, 32.42ex/s]
preprocess datasets #0:   4%|▍         | 167/3786 [00:16<05:03, 11.92ex/s]

preprocess datasets #1:   5%|▌         | 198/3786 [00:16<05:48, 10.29ex/s]


preprocess datasets #2:  10%|█         | 393/3786 [00:16<01:43, 32.86ex/s]



preprocess datasets #3:  12%|█▏        | 444/3786 [00:16<02:05, 26.56ex/s]




preprocess datasets #4:  11%|█         | 425/3785 [00:16<01:41, 32.98ex/s]


preprocess datasets #2:  11%|█         | 398/3786 [00:16<01:37, 34.78ex/s]



preprocess datasets #3:  12%|█▏        | 449/3786 [00:16<01:44, 32.07ex/s]




preprocess datasets #4:  11%|█▏        | 429/3785 [00:16<01:41, 33.10ex/s]
preprocess datasets #0:   4%|▍         | 169/3786 [00:16<05:36, 10.76ex/s]

preprocess datasets #1:   5%|▌         | 200/3786 [00:16<06:11,  9.65ex/s]


preprocess datasets #2:  11%|█         | 402/3786 [00:16<01:39, 34.13ex/s]



preprocess datasets #3:  12%|█▏        | 453/3786 [00:16<01:42, 32.58ex/s]




preprocess datasets #4:  11%|█▏        | 434/3785 [00:16<01:39, 33.80ex/s]



preprocess datasets #3:  12%|█▏        | 457/3786 [00:16<01:37, 34.29ex/s]




preprocess datasets #4:  12%|█▏        | 438/3785 [00:17<01:36, 34.51ex/s]


preprocess datasets #2:  11%|█         | 406/3786 [00:17<01:56, 28.99ex/s]
preprocess datasets #0:   5%|▍         | 171/3786 [00:17<06:02,  9.99ex/s]

preprocess datasets #1:   5%|▌         | 202/3786 [00:17<06:32,  9.13ex/s]



preprocess datasets #3:  12%|█▏        | 462/3786 [00:17<01:31, 36.19ex/s]




preprocess datasets #4:  12%|█▏        | 442/3785 [00:17<01:41, 32.78ex/s]


preprocess datasets #2:  11%|█         | 410/3786 [00:17<01:56, 29.00ex/s]

preprocess datasets #1:   5%|▌         | 203/3786 [00:17<06:32,  9.12ex/s]



preprocess datasets #3:  12%|█▏        | 467/3786 [00:17<01:29, 37.23ex/s]
preprocess datasets #0:   5%|▍         | 173/3786 [00:17<05:49, 10.34ex/s]




preprocess datasets #4:  12%|█▏        | 448/3785 [00:17<01:24, 39.59ex/s]

preprocess datasets #1:   5%|▌         | 205/3786 [00:17<05:59,  9.96ex/s]



preprocess datasets #3:  12%|█▏        | 471/3786 [00:17<01:37, 34.03ex/s]


preprocess datasets #2:  11%|█         | 414/3786 [00:17<02:16, 24.63ex/s]




preprocess datasets #4:  12%|█▏        | 453/3785 [00:17<01:30, 36.68ex/s]
preprocess datasets #0:   5%|▍         | 175/3786 [00:17<05:46, 10.41ex/s]



preprocess datasets #3:  13%|█▎        | 476/3786 [00:17<01:36, 34.46ex/s]

preprocess datasets #1:   5%|▌         | 207/3786 [00:17<05:56, 10.04ex/s]


preprocess datasets #2:  11%|█         | 417/3786 [00:17<02:23, 23.51ex/s]
preprocess datasets #0:   5%|▍         | 177/3786 [00:17<05:27, 11.03ex/s]




preprocess datasets #4:  12%|█▏        | 458/3785 [00:17<01:37, 33.98ex/s]



preprocess datasets #3:  13%|█▎        | 480/3786 [00:17<01:54, 28.88ex/s]


preprocess datasets #2:  11%|█         | 420/3786 [00:17<02:38, 21.27ex/s]




preprocess datasets #4:  12%|█▏        | 462/3785 [00:17<01:44, 31.74ex/s]

preprocess datasets #1:   6%|▌         | 209/3786 [00:17<06:30,  9.15ex/s]
preprocess datasets #0:   5%|▍         | 179/3786 [00:17<05:54, 10.17ex/s]



preprocess datasets #3:  13%|█▎        | 484/3786 [00:17<01:55, 28.69ex/s]


preprocess datasets #2:  11%|█         | 424/3786 [00:17<02:24, 23.20ex/s]




preprocess datasets #4:  12%|█▏        | 466/3785 [00:17<01:48, 30.45ex/s]

preprocess datasets #1:   6%|▌         | 210/3786 [00:17<06:40,  8.93ex/s]
preprocess datasets #0:   5%|▍         | 181/3786 [00:18<05:20, 11.25ex/s]


preprocess datasets #2:  11%|█▏        | 428/3786 [00:18<02:05, 26.78ex/s]



preprocess datasets #3:  13%|█▎        | 487/3786 [00:18<02:18, 23.86ex/s]




preprocess datasets #4:  12%|█▏        | 470/3785 [00:18<01:57, 28.17ex/s]


preprocess datasets #2:  11%|█▏        | 432/3786 [00:18<01:53, 29.53ex/s]

preprocess datasets #1:   6%|▌         | 212/3786 [00:18<06:16,  9.48ex/s]



preprocess datasets #3:  13%|█▎        | 490/3786 [00:18<02:19, 23.66ex/s]




preprocess datasets #4:  12%|█▏        | 473/3785 [00:18<02:06, 26.23ex/s]


preprocess datasets #2:  12%|█▏        | 436/3786 [00:18<01:49, 30.63ex/s]
preprocess datasets #0:   5%|▍         | 183/3786 [00:18<06:16,  9.57ex/s]

preprocess datasets #1:   6%|▌         | 213/3786 [00:18<06:33,  9.08ex/s]



preprocess datasets #3:  13%|█▎        | 493/3786 [00:18<02:14, 24.51ex/s]


preprocess datasets #2:  12%|█▏        | 440/3786 [00:18<01:42, 32.55ex/s]




preprocess datasets #4:  13%|█▎        | 477/3785 [00:18<01:55, 28.63ex/s]
preprocess datasets #0:   5%|▍         | 185/3786 [00:18<05:45, 10.43ex/s]



preprocess datasets #3:  13%|█▎        | 497/3786 [00:18<01:59, 27.53ex/s]




preprocess datasets #4:  13%|█▎        | 481/3785 [00:18<01:48, 30.41ex/s]


preprocess datasets #2:  12%|█▏        | 444/3786 [00:18<01:49, 30.41ex/s]

preprocess datasets #1:   6%|▌         | 215/3786 [00:18<06:28,  9.20ex/s]



preprocess datasets #3:  13%|█▎        | 501/3786 [00:18<01:48, 30.17ex/s]




preprocess datasets #4:  13%|█▎        | 486/3785 [00:18<01:37, 33.73ex/s]
preprocess datasets #0:   5%|▍         | 187/3786 [00:18<05:39, 10.60ex/s]

preprocess datasets #1:   6%|▌         | 216/3786 [00:18<06:41,  8.89ex/s]


preprocess datasets #2:  12%|█▏        | 448/3786 [00:18<01:52, 29.73ex/s]




preprocess datasets #4:  13%|█▎        | 492/3785 [00:18<01:24, 38.95ex/s]



preprocess datasets #3:  13%|█▎        | 505/3786 [00:18<02:00, 27.12ex/s]
preprocess datasets #0:   5%|▍         | 189/3786 [00:18<05:13, 11.49ex/s]

preprocess datasets #1:   6%|▌         | 218/3786 [00:18<05:56, 10.01ex/s]




preprocess datasets #4:  13%|█▎        | 498/3785 [00:18<01:14, 44.01ex/s]


preprocess datasets #2:  12%|█▏        | 452/3786 [00:18<02:03, 26.98ex/s]



preprocess datasets #3:  13%|█▎        | 508/3786 [00:18<02:00, 27.17ex/s]



preprocess datasets #3:  13%|█▎        | 511/3786 [00:18<01:59, 27.49ex/s]
preprocess datasets #0:   5%|▌         | 191/3786 [00:18<05:23, 11.12ex/s]


preprocess datasets #2:  12%|█▏        | 455/3786 [00:18<02:05, 26.64ex/s]




preprocess datasets #4:  13%|█▎        | 503/3785 [00:18<01:20, 40.85ex/s]

preprocess datasets #1:   6%|▌         | 220/3786 [00:18<05:42, 10.40ex/s]


preprocess datasets #2:  12%|█▏        | 460/3786 [00:19<01:43, 32.07ex/s]



preprocess datasets #3:  14%|█▎        | 514/3786 [00:19<02:10, 25.07ex/s]




preprocess datasets #4:  13%|█▎        | 508/3785 [00:19<01:28, 37.21ex/s]
preprocess datasets #0:   5%|▌         | 193/3786 [00:19<05:22, 11.14ex/s]

preprocess datasets #1:   6%|▌         | 222/3786 [00:19<05:24, 10.99ex/s]


preprocess datasets #2:  12%|█▏        | 464/3786 [00:19<01:42, 32.43ex/s]



preprocess datasets #3:  14%|█▎        | 517/3786 [00:19<02:11, 24.83ex/s]




preprocess datasets #4:  14%|█▎        | 512/3785 [00:19<01:37, 33.65ex/s]



preprocess datasets #3:  14%|█▎        | 520/3786 [00:19<02:06, 25.75ex/s]

preprocess datasets #1:   6%|▌         | 224/3786 [00:19<05:26, 10.90ex/s]


preprocess datasets #2:  12%|█▏        | 468/3786 [00:19<01:54, 28.89ex/s]
preprocess datasets #0:   5%|▌         | 195/3786 [00:19<05:46, 10.37ex/s]



preprocess datasets #3:  14%|█▍        | 524/3786 [00:19<01:58, 27.56ex/s]




preprocess datasets #4:  14%|█▎        | 516/3785 [00:19<01:53, 28.75ex/s]


preprocess datasets #2:  12%|█▏        | 472/3786 [00:19<01:51, 29.71ex/s]
preprocess datasets #0:   5%|▌         | 197/3786 [00:19<05:47, 10.33ex/s]

preprocess datasets #1:   6%|▌         | 226/3786 [00:19<05:50, 10.16ex/s]



preprocess datasets #3:  14%|█▍        | 529/3786 [00:19<01:40, 32.48ex/s]




preprocess datasets #4:  14%|█▎        | 520/3785 [00:19<01:47, 30.40ex/s]


preprocess datasets #2:  13%|█▎        | 476/3786 [00:19<01:57, 28.12ex/s]



preprocess datasets #3:  14%|█▍        | 534/3786 [00:19<01:28, 36.56ex/s]
preprocess datasets #0:   5%|▌         | 199/3786 [00:19<05:05, 11.72ex/s]

preprocess datasets #1:   6%|▌         | 228/3786 [00:19<05:15, 11.27ex/s]




preprocess datasets #4:  14%|█▍        | 524/3785 [00:19<01:56, 27.88ex/s]


preprocess datasets #2:  13%|█▎        | 479/3786 [00:19<02:02, 27.06ex/s]



preprocess datasets #3:  14%|█▍        | 540/3786 [00:19<01:16, 42.45ex/s]

preprocess datasets #1:   6%|▌         | 230/3786 [00:19<04:48, 12.32ex/s]
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preprocess datasets #3:  14%|█▍        | 545/3786 [00:19<01:15, 42.88ex/s]


preprocess datasets #2:  13%|█▎        | 482/3786 [00:19<02:08, 25.64ex/s]




preprocess datasets #4:  14%|█▍        | 527/3785 [00:19<02:09, 25.09ex/s]

preprocess datasets #1:   6%|▌         | 232/3786 [00:19<04:17, 13.80ex/s]


preprocess datasets #2:  13%|█▎        | 485/3786 [00:19<02:04, 26.53ex/s]



preprocess datasets #3:  15%|█▍        | 550/3786 [00:19<01:17, 41.73ex/s]
preprocess datasets #0:   5%|▌         | 203/3786 [00:20<05:21, 11.14ex/s]

preprocess datasets #1:   6%|▌         | 235/3786 [00:20<03:31, 16.77ex/s]




preprocess datasets #4:  14%|█▍        | 530/3785 [00:20<02:28, 21.87ex/s]


preprocess datasets #2:  13%|█▎        | 488/3786 [00:20<02:10, 25.36ex/s]



preprocess datasets #3:  15%|█▍        | 555/3786 [00:20<01:28, 36.32ex/s]
preprocess datasets #0:   5%|▌         | 205/3786 [00:20<05:11, 11.51ex/s]

preprocess datasets #1:   6%|▋         | 237/3786 [00:20<04:04, 14.49ex/s]




preprocess datasets #4:  14%|█▍        | 533/3785 [00:20<02:27, 22.05ex/s]


preprocess datasets #2:  13%|█▎        | 491/3786 [00:20<02:22, 23.17ex/s]



preprocess datasets #3:  15%|█▍        | 559/3786 [00:20<01:36, 33.42ex/s]




preprocess datasets #4:  14%|█▍        | 537/3785 [00:20<02:05, 25.82ex/s]
preprocess datasets #0:   5%|▌         | 207/3786 [00:20<05:13, 11.43ex/s]

preprocess datasets #1:   6%|▋         | 239/3786 [00:20<04:30, 13.11ex/s]


preprocess datasets #2:  13%|█▎        | 494/3786 [00:20<02:25, 22.58ex/s]




preprocess datasets #4:  14%|█▍        | 540/3785 [00:20<02:12, 24.46ex/s]



preprocess datasets #3:  15%|█▍        | 563/3786 [00:20<01:49, 29.45ex/s]


preprocess datasets #2:  13%|█▎        | 497/3786 [00:20<02:20, 23.37ex/s]

preprocess datasets #1:   6%|▋         | 241/3786 [00:20<04:28, 13.18ex/s]




preprocess datasets #4:  14%|█▍        | 543/3785 [00:20<02:08, 25.26ex/s]



preprocess datasets #3:  15%|█▍        | 567/3786 [00:20<01:49, 29.28ex/s]
preprocess datasets #0:   6%|▌         | 209/3786 [00:20<06:09,  9.68ex/s]


preprocess datasets #2:  13%|█▎        | 500/3786 [00:20<02:19, 23.51ex/s]




preprocess datasets #4:  14%|█▍        | 546/3785 [00:20<02:13, 24.22ex/s]

preprocess datasets #1:   6%|▋         | 243/3786 [00:20<04:32, 12.99ex/s]



preprocess datasets #3:  15%|█▌        | 571/3786 [00:20<01:47, 29.85ex/s]


preprocess datasets #2:  13%|█▎        | 504/3786 [00:20<02:06, 25.92ex/s]




preprocess datasets #4:  15%|█▍        | 550/3785 [00:20<01:55, 28.04ex/s]

preprocess datasets #1:   6%|▋         | 245/3786 [00:20<04:27, 13.25ex/s]


preprocess datasets #2:  13%|█▎        | 507/3786 [00:20<02:04, 26.40ex/s]
preprocess datasets #0:   6%|▌         | 211/3786 [00:20<06:39,  8.96ex/s]




preprocess datasets #4:  15%|█▍        | 554/3785 [00:20<01:46, 30.46ex/s]



preprocess datasets #3:  15%|█▌        | 575/3786 [00:20<01:58, 27.02ex/s]


preprocess datasets #2:  13%|█▎        | 511/3786 [00:21<02:01, 27.04ex/s]

preprocess datasets #1:   7%|▋         | 247/3786 [00:21<04:38, 12.69ex/s]




preprocess datasets #4:  15%|█▍        | 560/3785 [00:21<01:29, 36.13ex/s]



preprocess datasets #3:  15%|█▌        | 578/3786 [00:21<02:00, 26.65ex/s]
preprocess datasets #0:   6%|▌         | 213/3786 [00:21<06:11,  9.62ex/s]


preprocess datasets #2:  14%|█▎        | 514/3786 [00:21<01:58, 27.64ex/s]




preprocess datasets #4:  15%|█▍        | 564/3785 [00:21<01:31, 35.06ex/s]

preprocess datasets #1:   7%|▋         | 249/3786 [00:21<04:52, 12.10ex/s]



preprocess datasets #3:  15%|█▌        | 581/3786 [00:21<02:12, 24.20ex/s]


preprocess datasets #2:  14%|█▎        | 517/3786 [00:21<01:55, 28.20ex/s]
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preprocess datasets #4:  15%|█▌        | 568/3785 [00:21<01:30, 35.66ex/s]



preprocess datasets #3:  15%|█▌        | 585/3786 [00:21<02:00, 26.46ex/s]

preprocess datasets #1:   7%|▋         | 251/3786 [00:21<04:31, 13.00ex/s]


preprocess datasets #2:  14%|█▍        | 523/3786 [00:21<01:32, 35.42ex/s]
preprocess datasets #0:   6%|▌         | 217/3786 [00:21<05:18, 11.22ex/s]




preprocess datasets #4:  15%|█▌        | 572/3785 [00:21<01:31, 35.28ex/s]

preprocess datasets #1:   7%|▋         | 253/3786 [00:21<04:21, 13.49ex/s]


preprocess datasets #2:  14%|█▍        | 527/3786 [00:21<01:40, 32.59ex/s]
preprocess datasets #0:   6%|▌         | 219/3786 [00:21<04:44, 12.54ex/s]




preprocess datasets #4:  15%|█▌        | 576/3785 [00:21<01:29, 35.70ex/s]



preprocess datasets #3:  16%|█▌        | 588/3786 [00:21<02:11, 24.29ex/s]

preprocess datasets #1:   7%|▋         | 255/3786 [00:21<03:57, 14.85ex/s]



preprocess datasets #3:  16%|█▌        | 592/3786 [00:21<01:55, 27.77ex/s]




preprocess datasets #4:  15%|█▌        | 581/3785 [00:21<01:25, 37.31ex/s]


preprocess datasets #2:  14%|█▍        | 532/3786 [00:21<01:34, 34.26ex/s]
preprocess datasets #0:   6%|▌         | 221/3786 [00:21<04:57, 12.00ex/s]

preprocess datasets #1:   7%|▋         | 257/3786 [00:21<03:41, 15.92ex/s]



preprocess datasets #3:  16%|█▌        | 595/3786 [00:21<02:07, 25.08ex/s]


preprocess datasets #2:  14%|█▍        | 538/3786 [00:21<01:25, 37.84ex/s]




preprocess datasets #4:  15%|█▌        | 585/3785 [00:21<01:39, 32.20ex/s]

preprocess datasets #1:   7%|▋         | 259/3786 [00:21<03:56, 14.91ex/s]



preprocess datasets #3:  16%|█▌        | 599/3786 [00:21<01:52, 28.45ex/s]


preprocess datasets #2:  14%|█▍        | 542/3786 [00:21<01:34, 34.28ex/s]




preprocess datasets #4:  16%|█▌        | 589/3785 [00:21<01:41, 31.37ex/s]
preprocess datasets #0:   6%|▌         | 223/3786 [00:21<05:40, 10.45ex/s]

preprocess datasets #1:   7%|▋         | 261/3786 [00:21<03:52, 15.15ex/s]



preprocess datasets #3:  16%|█▌        | 603/3786 [00:21<01:52, 28.25ex/s]




preprocess datasets #4:  16%|█▌        | 593/3785 [00:22<01:36, 33.06ex/s]


preprocess datasets #2:  14%|█▍        | 546/3786 [00:22<01:50, 29.41ex/s]



preprocess datasets #3:  16%|█▌        | 606/3786 [00:22<02:00, 26.33ex/s]

preprocess datasets #1:   7%|▋         | 264/3786 [00:22<03:42, 15.81ex/s]




preprocess datasets #4:  16%|█▌        | 597/3785 [00:22<01:37, 32.74ex/s]



preprocess datasets #3:  16%|█▌        | 609/3786 [00:22<01:57, 26.94ex/s]
preprocess datasets #0:   6%|▌         | 225/3786 [00:22<06:54,  8.59ex/s]

preprocess datasets #1:   7%|▋         | 266/3786 [00:22<03:50, 15.24ex/s]


preprocess datasets #2:  15%|█▍        | 550/3786 [00:22<02:03, 26.10ex/s]




preprocess datasets #4:  16%|█▌        | 601/3785 [00:22<01:46, 29.91ex/s]



preprocess datasets #3:  16%|█▌        | 614/3786 [00:22<01:38, 32.31ex/s]

preprocess datasets #1:   7%|▋         | 268/3786 [00:22<03:53, 15.07ex/s]
preprocess datasets #0:   6%|▌         | 227/3786 [00:22<06:27,  9.19ex/s]




preprocess datasets #4:  16%|█▌        | 606/3785 [00:22<01:38, 32.23ex/s]


preprocess datasets #2:  15%|█▍        | 553/3786 [00:22<02:15, 23.86ex/s]



preprocess datasets #3:  16%|█▋        | 619/3786 [00:22<01:29, 35.56ex/s]




preprocess datasets #4:  16%|█▌        | 610/3785 [00:22<01:34, 33.71ex/s]



preprocess datasets #3:  16%|█▋        | 624/3786 [00:22<01:21, 38.58ex/s]


preprocess datasets #2:  15%|█▍        | 556/3786 [00:22<02:19, 23.12ex/s]
preprocess datasets #0:   6%|▌         | 229/3786 [00:22<06:12,  9.54ex/s]

preprocess datasets #1:   7%|▋         | 271/3786 [00:22<03:59, 14.69ex/s]




preprocess datasets #4:  16%|█▌        | 614/3785 [00:22<01:34, 33.64ex/s]



preprocess datasets #3:  17%|█▋        | 629/3786 [00:22<01:17, 40.80ex/s]


preprocess datasets #2:  15%|█▍        | 559/3786 [00:22<02:17, 23.47ex/s]




preprocess datasets #4:  16%|█▋        | 618/3785 [00:22<01:34, 33.57ex/s]



preprocess datasets #3:  17%|█▋        | 634/3786 [00:22<01:16, 41.39ex/s]
preprocess datasets #0:   6%|▌         | 231/3786 [00:22<05:49, 10.16ex/s]


preprocess datasets #2:  15%|█▍        | 563/3786 [00:22<02:01, 26.42ex/s]

preprocess datasets #1:   7%|▋         | 274/3786 [00:22<03:57, 14.78ex/s]




preprocess datasets #4:  16%|█▋        | 622/3785 [00:22<01:37, 32.53ex/s]



preprocess datasets #3:  17%|█▋        | 639/3786 [00:22<01:19, 39.63ex/s]


preprocess datasets #2:  15%|█▍        | 566/3786 [00:22<02:06, 25.54ex/s]

preprocess datasets #1:   7%|▋         | 276/3786 [00:23<04:07, 14.15ex/s]
preprocess datasets #0:   6%|▌         | 233/3786 [00:23<06:02,  9.79ex/s]




preprocess datasets #4:  17%|█▋        | 628/3785 [00:23<01:26, 36.67ex/s]


preprocess datasets #2:  15%|█▌        | 569/3786 [00:23<02:05, 25.62ex/s]



preprocess datasets #3:  17%|█▋        | 644/3786 [00:23<01:23, 37.70ex/s]

preprocess datasets #1:   7%|▋         | 278/3786 [00:23<03:56, 14.81ex/s]


preprocess datasets #2:  15%|█▌        | 572/3786 [00:23<02:00, 26.57ex/s]




preprocess datasets #4:  17%|█▋        | 632/3785 [00:23<01:33, 33.72ex/s]



preprocess datasets #3:  17%|█▋        | 649/3786 [00:23<01:21, 38.69ex/s]
preprocess datasets #0:   6%|▌         | 235/3786 [00:23<06:16,  9.43ex/s]

preprocess datasets #1:   7%|▋         | 280/3786 [00:23<03:59, 14.62ex/s]




preprocess datasets #4:  17%|█▋        | 636/3785 [00:23<01:35, 32.90ex/s]


preprocess datasets #2:  15%|█▌        | 575/3786 [00:23<02:13, 24.04ex/s]



preprocess datasets #3:  17%|█▋        | 655/3786 [00:23<01:17, 40.65ex/s]
preprocess datasets #0:   6%|▌         | 236/3786 [00:23<06:16,  9.42ex/s]

preprocess datasets #1:   7%|▋         | 282/3786 [00:23<03:55, 14.88ex/s]


preprocess datasets #2:  15%|█▌        | 578/3786 [00:23<02:17, 23.29ex/s]




preprocess datasets #4:  17%|█▋        | 640/3785 [00:23<01:41, 31.13ex/s]
preprocess datasets #0:   6%|▋         | 238/3786 [00:23<05:33, 10.64ex/s]



preprocess datasets #3:  17%|█▋        | 660/3786 [00:23<01:27, 35.52ex/s]


preprocess datasets #2:  15%|█▌        | 581/3786 [00:23<02:10, 24.61ex/s]

preprocess datasets #1:   8%|▊         | 284/3786 [00:23<04:24, 13.25ex/s]



preprocess datasets #3:  18%|█▊        | 664/3786 [00:23<01:29, 34.90ex/s]




preprocess datasets #4:  17%|█▋        | 644/3785 [00:23<01:50, 28.34ex/s]
preprocess datasets #0:   6%|▋         | 240/3786 [00:23<05:16, 11.22ex/s]


preprocess datasets #2:  15%|█▌        | 585/3786 [00:23<02:01, 26.39ex/s]



preprocess datasets #3:  18%|█▊        | 669/3786 [00:23<01:23, 37.12ex/s]

preprocess datasets #1:   8%|▊         | 287/3786 [00:23<04:09, 14.03ex/s]
preprocess datasets #0:   6%|▋         | 242/3786 [00:23<04:52, 12.10ex/s]




preprocess datasets #4:  17%|█▋        | 649/3785 [00:23<01:47, 29.27ex/s]


preprocess datasets #2:  16%|█▌        | 589/3786 [00:23<01:52, 28.54ex/s]




preprocess datasets #4:  17%|█▋        | 656/3785 [00:23<01:21, 38.16ex/s]



preprocess datasets #3:  18%|█▊        | 673/3786 [00:23<01:39, 31.26ex/s]

preprocess datasets #1:   8%|▊         | 290/3786 [00:23<03:54, 14.88ex/s]


preprocess datasets #2:  16%|█▌        | 593/3786 [00:23<01:48, 29.36ex/s]
preprocess datasets #0:   6%|▋         | 244/3786 [00:23<04:54, 12.01ex/s]




preprocess datasets #4:  17%|█▋        | 661/3785 [00:24<01:22, 37.74ex/s]



preprocess datasets #3:  18%|█▊        | 678/3786 [00:24<01:33, 33.10ex/s]


preprocess datasets #2:  16%|█▌        | 596/3786 [00:24<02:00, 26.38ex/s]

preprocess datasets #1:   8%|▊         | 292/3786 [00:24<04:15, 13.69ex/s]




preprocess datasets #4:  18%|█▊        | 667/3785 [00:24<01:13, 42.71ex/s]
preprocess datasets #0:   6%|▋         | 246/3786 [00:24<05:26, 10.86ex/s]


preprocess datasets #2:  16%|█▌        | 600/3786 [00:24<01:52, 28.23ex/s]



preprocess datasets #3:  18%|█▊        | 682/3786 [00:24<01:42, 30.38ex/s]

preprocess datasets #1:   8%|▊         | 294/3786 [00:24<04:17, 13.55ex/s]




preprocess datasets #4:  18%|█▊        | 672/3785 [00:24<01:16, 40.70ex/s]



preprocess datasets #3:  18%|█▊        | 686/3786 [00:24<01:39, 31.07ex/s]


preprocess datasets #2:  16%|█▌        | 603/3786 [00:24<02:02, 26.06ex/s]




preprocess datasets #4:  18%|█▊        | 677/3785 [00:24<01:12, 42.66ex/s]

preprocess datasets #1:   8%|▊         | 296/3786 [00:24<04:01, 14.43ex/s]
preprocess datasets #0:   7%|▋         | 248/3786 [00:24<06:07,  9.63ex/s]


preprocess datasets #2:  16%|█▌        | 606/3786 [00:24<02:01, 26.08ex/s]



preprocess datasets #3:  18%|█▊        | 690/3786 [00:24<01:38, 31.49ex/s]
preprocess datasets #0:   7%|▋         | 250/3786 [00:24<05:15, 11.21ex/s]




preprocess datasets #4:  18%|█▊        | 682/3785 [00:24<01:26, 35.83ex/s]



preprocess datasets #3:  18%|█▊        | 694/3786 [00:24<01:33, 32.99ex/s]


preprocess datasets #2:  16%|█▌        | 609/3786 [00:24<02:11, 24.16ex/s]

preprocess datasets #1:   8%|▊         | 298/3786 [00:24<04:59, 11.63ex/s]



preprocess datasets #3:  18%|█▊        | 698/3786 [00:24<01:34, 32.55ex/s]


preprocess datasets #2:  16%|█▌        | 613/3786 [00:24<01:55, 27.39ex/s]




preprocess datasets #4:  18%|█▊        | 686/3785 [00:24<01:38, 31.58ex/s]
preprocess datasets #0:   7%|▋         | 253/3786 [00:24<04:48, 12.26ex/s]

preprocess datasets #1:   8%|▊         | 300/3786 [00:24<04:46, 12.15ex/s]



preprocess datasets #3:  19%|█▊        | 702/3786 [00:24<01:30, 34.09ex/s]


preprocess datasets #2:  16%|█▋        | 617/3786 [00:24<01:48, 29.24ex/s]




preprocess datasets #4:  18%|█▊        | 690/3785 [00:24<01:35, 32.40ex/s]
preprocess datasets #0:   7%|▋         | 255/3786 [00:24<04:45, 12.36ex/s]


preprocess datasets #2:  16%|█▋        | 621/3786 [00:24<01:39, 31.79ex/s]

preprocess datasets #1:   8%|▊         | 302/3786 [00:24<04:42, 12.34ex/s]



preprocess datasets #3:  19%|█▊        | 706/3786 [00:24<01:40, 30.61ex/s]




preprocess datasets #4:  18%|█▊        | 694/3785 [00:24<01:40, 30.74ex/s]
preprocess datasets #0:   7%|▋         | 257/3786 [00:25<04:29, 13.09ex/s]


preprocess datasets #2:  17%|█▋        | 625/3786 [00:25<01:39, 31.85ex/s]



preprocess datasets #3:  19%|█▉        | 710/3786 [00:25<01:38, 31.21ex/s]

preprocess datasets #1:   8%|▊         | 304/3786 [00:25<04:35, 12.64ex/s]




preprocess datasets #4:  18%|█▊        | 698/3785 [00:25<01:53, 27.28ex/s]


preprocess datasets #2:  17%|█▋        | 629/3786 [00:25<01:42, 30.70ex/s]



preprocess datasets #3:  19%|█▉        | 714/3786 [00:25<01:39, 30.89ex/s]

preprocess datasets #1:   8%|▊         | 306/3786 [00:25<04:22, 13.26ex/s]
preprocess datasets #0:   7%|▋         | 259/3786 [00:25<05:03, 11.62ex/s]




preprocess datasets #4:  19%|█▊        | 703/3785 [00:25<01:36, 31.83ex/s]


preprocess datasets #2:  17%|█▋        | 633/3786 [00:25<01:40, 31.41ex/s]



preprocess datasets #3:  19%|█▉        | 718/3786 [00:25<01:38, 31.24ex/s]

preprocess datasets #1:   8%|▊         | 308/3786 [00:25<04:21, 13.31ex/s]




preprocess datasets #4:  19%|█▊        | 707/3785 [00:25<01:39, 30.85ex/s]
preprocess datasets #0:   7%|▋         | 261/3786 [00:25<05:05, 11.53ex/s]



preprocess datasets #3:  19%|█▉        | 722/3786 [00:25<01:35, 32.14ex/s]


preprocess datasets #2:  17%|█▋        | 637/3786 [00:25<01:45, 29.86ex/s]

preprocess datasets #1:   8%|▊         | 310/3786 [00:25<04:17, 13.48ex/s]


preprocess datasets #2:  17%|█▋        | 641/3786 [00:25<01:39, 31.70ex/s]




preprocess datasets #4:  19%|█▉        | 714/3785 [00:25<01:25, 35.71ex/s]



preprocess datasets #3:  19%|█▉        | 726/3786 [00:25<01:37, 31.29ex/s]
preprocess datasets #0:   7%|▋         | 263/3786 [00:25<05:01, 11.69ex/s]

preprocess datasets #1:   8%|▊         | 312/3786 [00:25<04:05, 14.18ex/s]


preprocess datasets #2:  17%|█▋        | 645/3786 [00:25<01:34, 33.12ex/s]



preprocess datasets #3:  19%|█▉        | 731/3786 [00:25<01:25, 35.65ex/s]




preprocess datasets #4:  19%|█▉        | 720/3785 [00:25<01:23, 36.51ex/s]
preprocess datasets #0:   7%|▋         | 265/3786 [00:25<04:58, 11.78ex/s]



preprocess datasets #3:  19%|█▉        | 735/3786 [00:25<01:30, 33.82ex/s]


preprocess datasets #2:  17%|█▋        | 649/3786 [00:25<01:46, 29.58ex/s]




preprocess datasets #4:  19%|█▉        | 726/3785 [00:25<01:16, 40.25ex/s]
preprocess datasets #0:   7%|▋         | 267/3786 [00:25<04:32, 12.91ex/s]

preprocess datasets #1:   8%|▊         | 314/3786 [00:25<05:01, 11.53ex/s]



preprocess datasets #3:  20%|█▉        | 741/3786 [00:25<01:18, 38.87ex/s]


preprocess datasets #2:  17%|█▋        | 653/3786 [00:25<01:39, 31.50ex/s]




preprocess datasets #4:  19%|█▉        | 731/3785 [00:26<01:22, 37.05ex/s]
preprocess datasets #0:   7%|▋         | 269/3786 [00:26<04:29, 13.07ex/s]

preprocess datasets #1:   8%|▊         | 316/3786 [00:26<04:51, 11.91ex/s]



preprocess datasets #3:  20%|█▉        | 745/3786 [00:26<01:20, 37.87ex/s]


preprocess datasets #2:  17%|█▋        | 657/3786 [00:26<01:42, 30.64ex/s]




preprocess datasets #4:  19%|█▉        | 735/3785 [00:26<01:21, 37.20ex/s]



preprocess datasets #3:  20%|█▉        | 751/3786 [00:26<01:10, 43.24ex/s]
preprocess datasets #0:   7%|▋         | 271/3786 [00:26<04:17, 13.64ex/s]

preprocess datasets #1:   8%|▊         | 318/3786 [00:26<04:41, 12.34ex/s]




preprocess datasets #4:  20%|█▉        | 739/3785 [00:26<01:26, 35.04ex/s]


preprocess datasets #2:  17%|█▋        | 661/3786 [00:26<01:53, 27.59ex/s]



preprocess datasets #3:  20%|█▉        | 756/3786 [00:26<01:12, 42.05ex/s]
preprocess datasets #0:   7%|▋         | 273/3786 [00:26<04:36, 12.70ex/s]




preprocess datasets #4:  20%|█▉        | 743/3785 [00:26<01:25, 35.47ex/s]



preprocess datasets #3:  20%|██        | 761/3786 [00:26<01:13, 41.04ex/s]

preprocess datasets #1:   8%|▊         | 320/3786 [00:26<05:15, 10.97ex/s]


preprocess datasets #2:  18%|█▊        | 664/3786 [00:26<02:01, 25.71ex/s]




preprocess datasets #4:  20%|█▉        | 747/3785 [00:26<01:32, 32.91ex/s]


preprocess datasets #2:  18%|█▊        | 667/3786 [00:26<02:04, 25.05ex/s]



preprocess datasets #3:  20%|██        | 767/3786 [00:26<01:12, 41.56ex/s]
preprocess datasets #0:   7%|▋         | 275/3786 [00:26<05:08, 11.40ex/s]

preprocess datasets #1:   9%|▊         | 322/3786 [00:26<04:59, 11.57ex/s]



preprocess datasets #3:  20%|██        | 772/3786 [00:26<01:15, 39.82ex/s]


preprocess datasets #2:  18%|█▊        | 671/3786 [00:26<02:01, 25.74ex/s]




preprocess datasets #4:  20%|█▉        | 751/3785 [00:26<01:50, 27.45ex/s]
preprocess datasets #0:   7%|▋         | 277/3786 [00:26<05:00, 11.68ex/s]

preprocess datasets #1:   9%|▊         | 324/3786 [00:26<04:51, 11.86ex/s]


preprocess datasets #2:  18%|█▊        | 676/3786 [00:26<01:42, 30.21ex/s]
preprocess datasets #0:   7%|▋         | 279/3786 [00:26<04:39, 12.55ex/s]




preprocess datasets #4:  20%|█▉        | 754/3785 [00:26<01:58, 25.55ex/s]



preprocess datasets #3:  21%|██        | 777/3786 [00:26<01:24, 35.48ex/s]

preprocess datasets #1:   9%|▊         | 326/3786 [00:26<04:40, 12.34ex/s]


preprocess datasets #2:  18%|█▊        | 680/3786 [00:26<01:43, 29.96ex/s]




preprocess datasets #4:  20%|██        | 757/3785 [00:26<01:55, 26.20ex/s]



preprocess datasets #3:  21%|██        | 781/3786 [00:26<01:25, 35.21ex/s]

preprocess datasets #1:   9%|▊         | 328/3786 [00:27<04:19, 13.35ex/s]




preprocess datasets #4:  20%|██        | 760/3785 [00:27<01:55, 26.18ex/s]
preprocess datasets #0:   7%|▋         | 281/3786 [00:27<05:18, 11.01ex/s]



preprocess datasets #3:  21%|██        | 785/3786 [00:27<01:27, 34.25ex/s]


preprocess datasets #2:  18%|█▊        | 684/3786 [00:27<01:51, 27.75ex/s]

preprocess datasets #1:   9%|▊         | 330/3786 [00:27<04:27, 12.94ex/s]




preprocess datasets #4:  20%|██        | 764/3785 [00:27<01:47, 28.04ex/s]


preprocess datasets #2:  18%|█▊        | 688/3786 [00:27<01:45, 29.45ex/s]



preprocess datasets #3:  21%|██        | 789/3786 [00:27<01:28, 33.81ex/s]
preprocess datasets #0:   7%|▋         | 283/3786 [00:27<05:18, 11.00ex/s]




preprocess datasets #4:  20%|██        | 768/3785 [00:27<01:40, 30.13ex/s]

preprocess datasets #1:   9%|▉         | 332/3786 [00:27<04:39, 12.36ex/s]


preprocess datasets #2:  18%|█▊        | 692/3786 [00:27<01:48, 28.62ex/s]



preprocess datasets #3:  21%|██        | 793/3786 [00:27<01:36, 31.00ex/s]




preprocess datasets #4:  20%|██        | 772/3785 [00:27<01:41, 29.67ex/s]
preprocess datasets #0:   8%|▊         | 285/3786 [00:27<05:34, 10.45ex/s]

preprocess datasets #1:   9%|▉         | 334/3786 [00:27<04:41, 12.27ex/s]


preprocess datasets #2:  18%|█▊        | 695/3786 [00:27<01:55, 26.81ex/s]



preprocess datasets #3:  21%|██        | 797/3786 [00:27<01:42, 29.11ex/s]




preprocess datasets #4:  21%|██        | 776/3785 [00:27<01:49, 27.45ex/s]


preprocess datasets #2:  18%|█▊        | 698/3786 [00:27<01:58, 26.05ex/s]
preprocess datasets #0:   8%|▊         | 287/3786 [00:27<05:27, 10.69ex/s]



preprocess datasets #3:  21%|██        | 801/3786 [00:27<01:37, 30.54ex/s]

preprocess datasets #1:   9%|▉         | 337/3786 [00:27<04:05, 14.08ex/s]




preprocess datasets #4:  21%|██        | 779/3785 [00:27<01:48, 27.72ex/s]

preprocess datasets #1:   9%|▉         | 339/3786 [00:27<03:47, 15.18ex/s]


preprocess datasets #2:  19%|█▊        | 701/3786 [00:27<02:07, 24.21ex/s]



preprocess datasets #3:  21%|██▏       | 805/3786 [00:27<01:36, 30.97ex/s]




preprocess datasets #4:  21%|██        | 784/3785 [00:27<01:30, 33.16ex/s]
preprocess datasets #0:   8%|▊         | 289/3786 [00:27<05:24, 10.77ex/s]

preprocess datasets #1:   9%|▉         | 341/3786 [00:27<03:47, 15.14ex/s]


preprocess datasets #2:  19%|█▊        | 705/3786 [00:27<01:58, 26.08ex/s]



preprocess datasets #3:  21%|██▏       | 809/3786 [00:27<01:40, 29.64ex/s]
preprocess datasets #0:   8%|▊         | 291/3786 [00:28<04:58, 11.70ex/s]




preprocess datasets #4:  21%|██        | 788/3785 [00:27<01:38, 30.48ex/s]


preprocess datasets #2:  19%|█▊        | 709/3786 [00:28<01:52, 27.30ex/s]



preprocess datasets #3:  21%|██▏       | 813/3786 [00:28<01:39, 29.75ex/s]

preprocess datasets #1:   9%|▉         | 343/3786 [00:28<04:09, 13.78ex/s]


preprocess datasets #2:  19%|█▉        | 712/3786 [00:28<01:59, 25.77ex/s]
preprocess datasets #0:   8%|▊         | 293/3786 [00:28<05:19, 10.93ex/s]




preprocess datasets #4:  21%|██        | 792/3785 [00:28<01:57, 25.57ex/s]



preprocess datasets #3:  22%|██▏       | 817/3786 [00:28<01:41, 29.16ex/s]

preprocess datasets #1:   9%|▉         | 345/3786 [00:28<04:12, 13.60ex/s]




preprocess datasets #4:  21%|██        | 795/3785 [00:28<01:53, 26.36ex/s]


preprocess datasets #2:  19%|█▉        | 716/3786 [00:28<01:52, 27.38ex/s]



preprocess datasets #3:  22%|██▏       | 821/3786 [00:28<01:36, 30.74ex/s]

preprocess datasets #1:   9%|▉         | 347/3786 [00:28<04:14, 13.54ex/s]
preprocess datasets #0:   8%|▊         | 295/3786 [00:28<05:25, 10.72ex/s]


preprocess datasets #2:  19%|█▉        | 720/3786 [00:28<01:43, 29.54ex/s]




preprocess datasets #4:  21%|██        | 800/3785 [00:28<01:40, 29.65ex/s]



preprocess datasets #3:  22%|██▏       | 825/3786 [00:28<01:47, 27.45ex/s]

preprocess datasets #1:   9%|▉         | 349/3786 [00:28<04:13, 13.57ex/s]


preprocess datasets #2:  19%|█▉        | 723/3786 [00:28<01:48, 28.24ex/s]




preprocess datasets #4:  21%|██        | 804/3785 [00:28<01:39, 30.00ex/s]
preprocess datasets #0:   8%|▊         | 297/3786 [00:28<05:21, 10.85ex/s]



preprocess datasets #3:  22%|██▏       | 828/3786 [00:28<01:51, 26.64ex/s]


preprocess datasets #2:  19%|█▉        | 727/3786 [00:28<01:41, 30.06ex/s]

preprocess datasets #1:   9%|▉         | 351/3786 [00:28<04:24, 12.99ex/s]




preprocess datasets #4:  21%|██▏       | 808/3785 [00:28<01:39, 29.78ex/s]



preprocess datasets #3:  22%|██▏       | 833/3786 [00:28<01:33, 31.73ex/s]


preprocess datasets #2:  19%|█▉        | 732/3786 [00:28<01:32, 32.90ex/s]
preprocess datasets #0:   8%|▊         | 299/3786 [00:28<05:42, 10.18ex/s]




preprocess datasets #4:  21%|██▏       | 812/3785 [00:28<01:36, 30.74ex/s]



preprocess datasets #3:  22%|██▏       | 838/3786 [00:28<01:22, 35.59ex/s]

preprocess datasets #1:   9%|▉         | 353/3786 [00:28<04:39, 12.27ex/s]


preprocess datasets #2:  19%|█▉        | 736/3786 [00:28<01:35, 32.05ex/s]




preprocess datasets #4:  22%|██▏       | 819/3785 [00:28<01:16, 38.83ex/s]



preprocess datasets #3:  22%|██▏       | 844/3786 [00:28<01:11, 41.43ex/s]

preprocess datasets #1:   9%|▉         | 355/3786 [00:29<04:17, 13.35ex/s]


preprocess datasets #2:  20%|█▉        | 741/3786 [00:29<01:24, 36.24ex/s]
preprocess datasets #0:   8%|▊         | 301/3786 [00:29<06:12,  9.37ex/s]




preprocess datasets #4:  22%|██▏       | 823/3785 [00:29<01:20, 36.92ex/s]



preprocess datasets #3:  22%|██▏       | 849/3786 [00:29<01:16, 38.64ex/s]


preprocess datasets #2:  20%|█▉        | 747/3786 [00:29<01:12, 42.16ex/s]




preprocess datasets #4:  22%|██▏       | 830/3785 [00:29<01:07, 43.90ex/s]

preprocess datasets #1:   9%|▉         | 357/3786 [00:29<04:28, 12.79ex/s]
preprocess datasets #0:   8%|▊         | 303/3786 [00:29<05:37, 10.31ex/s]



preprocess datasets #3:  23%|██▎       | 854/3786 [00:29<01:12, 40.69ex/s]

preprocess datasets #1:   9%|▉         | 359/3786 [00:29<04:16, 13.37ex/s]


preprocess datasets #2:  20%|█▉        | 752/3786 [00:29<01:24, 36.08ex/s]




preprocess datasets #4:  22%|██▏       | 835/3785 [00:29<01:11, 41.04ex/s]
preprocess datasets #0:   8%|▊         | 305/3786 [00:29<05:28, 10.59ex/s]



preprocess datasets #3:  23%|██▎       | 859/3786 [00:29<01:23, 34.97ex/s]

preprocess datasets #1:  10%|▉         | 361/3786 [00:29<03:54, 14.63ex/s]




preprocess datasets #4:  22%|██▏       | 840/3785 [00:29<01:14, 39.34ex/s]


preprocess datasets #2:  20%|█▉        | 756/3786 [00:29<01:35, 31.73ex/s]

preprocess datasets #1:  10%|▉         | 363/3786 [00:29<03:36, 15.82ex/s]



preprocess datasets #3:  23%|██▎       | 863/3786 [00:29<01:26, 33.77ex/s]


preprocess datasets #2:  20%|██        | 760/3786 [00:29<01:35, 31.69ex/s]




preprocess datasets #4:  22%|██▏       | 845/3785 [00:29<01:20, 36.63ex/s]

preprocess datasets #1:  10%|▉         | 365/3786 [00:29<03:33, 16.02ex/s]



preprocess datasets #3:  23%|██▎       | 868/3786 [00:29<01:20, 36.05ex/s]
preprocess datasets #0:   8%|▊         | 307/3786 [00:29<06:21,  9.11ex/s]


preprocess datasets #2:  20%|██        | 764/3786 [00:29<01:37, 30.96ex/s]



preprocess datasets #3:  23%|██▎       | 872/3786 [00:29<01:24, 34.60ex/s]

preprocess datasets #1:  10%|▉         | 367/3786 [00:29<03:48, 14.94ex/s]




preprocess datasets #4:  22%|██▏       | 849/3785 [00:29<01:35, 30.81ex/s]
preprocess datasets #0:   8%|▊         | 309/3786 [00:29<05:51,  9.88ex/s]


preprocess datasets #2:  20%|██        | 768/3786 [00:29<01:41, 29.88ex/s]

preprocess datasets #1:  10%|▉         | 369/3786 [00:29<03:41, 15.45ex/s]



preprocess datasets #3:  23%|██▎       | 876/3786 [00:29<01:29, 32.60ex/s]




preprocess datasets #4:  23%|██▎       | 853/3785 [00:29<01:33, 31.23ex/s]
preprocess datasets #0:   8%|▊         | 311/3786 [00:30<05:31, 10.48ex/s]



preprocess datasets #3:  23%|██▎       | 880/3786 [00:30<01:27, 33.28ex/s]


preprocess datasets #2:  20%|██        | 772/3786 [00:30<01:43, 29.00ex/s]

preprocess datasets #1:  10%|▉         | 371/3786 [00:30<03:47, 14.99ex/s]




preprocess datasets #4:  23%|██▎       | 857/3785 [00:30<01:37, 30.18ex/s]
preprocess datasets #0:   8%|▊         | 313/3786 [00:30<04:53, 11.84ex/s]


preprocess datasets #2:  20%|██        | 775/3786 [00:30<01:46, 28.23ex/s]




preprocess datasets #4:  23%|██▎       | 861/3785 [00:30<01:41, 28.93ex/s]



preprocess datasets #3:  23%|██▎       | 884/3786 [00:30<01:44, 27.82ex/s]

preprocess datasets #1:  10%|▉         | 373/3786 [00:30<04:12, 13.51ex/s]


preprocess datasets #2:  21%|██        | 778/3786 [00:30<01:49, 27.55ex/s]




preprocess datasets #4:  23%|██▎       | 864/3785 [00:30<01:44, 27.82ex/s]
preprocess datasets #0:   8%|▊         | 315/3786 [00:30<05:34, 10.38ex/s]



preprocess datasets #3:  23%|██▎       | 889/3786 [00:30<01:36, 30.16ex/s]


preprocess datasets #2:  21%|██        | 781/3786 [00:30<01:47, 27.84ex/s]

preprocess datasets #1:  10%|▉         | 375/3786 [00:30<04:17, 13.27ex/s]




preprocess datasets #4:  23%|██▎       | 868/3785 [00:30<01:38, 29.70ex/s]


preprocess datasets #2:  21%|██        | 787/3786 [00:30<01:29, 33.69ex/s]



preprocess datasets #3:  24%|██▎       | 893/3786 [00:30<01:39, 29.13ex/s]

preprocess datasets #1:  10%|▉         | 377/3786 [00:30<04:20, 13.10ex/s]
preprocess datasets #0:   8%|▊         | 317/3786 [00:30<06:18,  9.16ex/s]




preprocess datasets #4:  23%|██▎       | 872/3785 [00:30<01:47, 27.17ex/s]



preprocess datasets #3:  24%|██▎       | 897/3786 [00:30<01:37, 29.75ex/s]


preprocess datasets #2:  21%|██        | 791/3786 [00:30<01:40, 29.90ex/s]

preprocess datasets #1:  10%|█         | 379/3786 [00:30<04:16, 13.26ex/s]



preprocess datasets #3:  24%|██▍       | 901/3786 [00:30<01:32, 31.24ex/s]
preprocess datasets #0:   8%|▊         | 319/3786 [00:30<05:41, 10.17ex/s]




preprocess datasets #4:  23%|██▎       | 875/3785 [00:30<02:00, 24.15ex/s]


preprocess datasets #2:  21%|██        | 795/3786 [00:30<01:41, 29.56ex/s]

preprocess datasets #1:  10%|█         | 381/3786 [00:30<04:20, 13.09ex/s]



preprocess datasets #3:  24%|██▍       | 905/3786 [00:30<01:30, 31.71ex/s]
preprocess datasets #0:   8%|▊         | 321/3786 [00:30<05:19, 10.84ex/s]




preprocess datasets #4:  23%|██▎       | 878/3785 [00:30<02:02, 23.77ex/s]

preprocess datasets #1:  10%|█         | 383/3786 [00:31<04:06, 13.79ex/s]



preprocess datasets #3:  24%|██▍       | 911/3786 [00:30<01:15, 38.27ex/s]


preprocess datasets #2:  21%|██        | 799/3786 [00:31<01:51, 26.88ex/s]




preprocess datasets #4:  23%|██▎       | 881/3785 [00:31<01:58, 24.52ex/s]



preprocess datasets #3:  24%|██▍       | 915/3786 [00:31<01:14, 38.69ex/s]


preprocess datasets #2:  21%|██        | 802/3786 [00:31<01:55, 25.95ex/s]
preprocess datasets #0:   9%|▊         | 323/3786 [00:31<05:23, 10.70ex/s]

preprocess datasets #1:  10%|█         | 385/3786 [00:31<04:22, 12.97ex/s]




preprocess datasets #4:  23%|██▎       | 884/3785 [00:31<01:59, 24.37ex/s]



preprocess datasets #3:  24%|██▍       | 920/3786 [00:31<01:16, 37.39ex/s]


preprocess datasets #2:  21%|██▏       | 805/3786 [00:31<01:56, 25.59ex/s]




preprocess datasets #4:  23%|██▎       | 887/3785 [00:31<01:57, 24.56ex/s]
preprocess datasets #0:   9%|▊         | 325/3786 [00:31<05:23, 10.69ex/s]

preprocess datasets #1:  10%|█         | 387/3786 [00:31<04:23, 12.88ex/s]



preprocess datasets #3:  24%|██▍       | 924/3786 [00:31<01:18, 36.47ex/s]


preprocess datasets #2:  21%|██▏       | 808/3786 [00:31<01:59, 24.82ex/s]




preprocess datasets #4:  24%|██▎       | 893/3785 [00:31<01:33, 30.77ex/s]



preprocess datasets #3:  25%|██▍       | 929/3786 [00:31<01:13, 38.95ex/s]

preprocess datasets #1:  10%|█         | 389/3786 [00:31<04:24, 12.82ex/s]


preprocess datasets #2:  21%|██▏       | 811/3786 [00:31<01:56, 25.58ex/s]
preprocess datasets #0:   9%|▊         | 327/3786 [00:31<05:57,  9.68ex/s]




preprocess datasets #4:  24%|██▎       | 897/3785 [00:31<01:35, 30.22ex/s]



preprocess datasets #3:  25%|██▍       | 935/3786 [00:31<01:08, 41.56ex/s]


preprocess datasets #2:  22%|██▏       | 817/3786 [00:31<01:29, 33.10ex/s]

preprocess datasets #1:  10%|█         | 391/3786 [00:31<04:16, 13.26ex/s]




preprocess datasets #4:  24%|██▍       | 901/3785 [00:31<01:33, 30.79ex/s]


preprocess datasets #2:  22%|██▏       | 823/3786 [00:31<01:15, 39.29ex/s]



preprocess datasets #3:  25%|██▍       | 940/3786 [00:31<01:11, 39.69ex/s]

preprocess datasets #1:  10%|█         | 393/3786 [00:31<04:10, 13.56ex/s]




preprocess datasets #4:  24%|██▍       | 905/3785 [00:31<01:31, 31.38ex/s]


preprocess datasets #2:  22%|██▏       | 828/3786 [00:31<01:11, 41.09ex/s]
preprocess datasets #0:   9%|▊         | 330/3786 [00:31<05:34, 10.35ex/s]



preprocess datasets #3:  25%|██▍       | 945/3786 [00:31<01:15, 37.85ex/s]


preprocess datasets #2:  22%|██▏       | 834/3786 [00:31<01:05, 45.36ex/s]

preprocess datasets #1:  10%|█         | 395/3786 [00:31<04:21, 12.97ex/s]




preprocess datasets #4:  24%|██▍       | 910/3785 [00:31<01:21, 35.12ex/s]



preprocess datasets #3:  25%|██▌       | 949/3786 [00:31<01:17, 36.48ex/s]
preprocess datasets #0:   9%|▉         | 332/3786 [00:32<05:46,  9.97ex/s]


preprocess datasets #2:  22%|██▏       | 839/3786 [00:32<01:09, 42.52ex/s]

preprocess datasets #1:  10%|█         | 397/3786 [00:32<04:26, 12.73ex/s]




preprocess datasets #4:  24%|██▍       | 914/3785 [00:32<01:34, 30.30ex/s]



preprocess datasets #3:  25%|██▌       | 954/3786 [00:32<01:14, 38.16ex/s]


preprocess datasets #2:  22%|██▏       | 844/3786 [00:32<01:06, 44.41ex/s]
preprocess datasets #0:   9%|▉         | 334/3786 [00:32<05:20, 10.77ex/s]



preprocess datasets #3:  25%|██▌       | 958/3786 [00:32<01:15, 37.47ex/s]




preprocess datasets #4:  24%|██▍       | 918/3785 [00:32<01:32, 30.94ex/s]

preprocess datasets #1:  11%|█         | 399/3786 [00:32<04:26, 12.70ex/s]


preprocess datasets #2:  22%|██▏       | 849/3786 [00:32<01:07, 43.24ex/s]




preprocess datasets #4:  24%|██▍       | 922/3785 [00:32<01:29, 32.08ex/s]



preprocess datasets #3:  25%|██▌       | 962/3786 [00:32<01:22, 34.19ex/s]


preprocess datasets #2:  23%|██▎       | 854/3786 [00:32<01:10, 41.75ex/s]

preprocess datasets #1:  11%|█         | 401/3786 [00:32<04:37, 12.18ex/s]



preprocess datasets #3:  26%|██▌       | 966/3786 [00:32<01:20, 35.12ex/s]




preprocess datasets #4:  24%|██▍       | 926/3785 [00:32<01:31, 31.24ex/s]
preprocess datasets #0:   9%|▉         | 336/3786 [00:32<06:27,  8.91ex/s]


preprocess datasets #2:  23%|██▎       | 859/3786 [00:32<01:10, 41.29ex/s]

preprocess datasets #1:  11%|█         | 403/3786 [00:32<04:47, 11.75ex/s]




preprocess datasets #4:  25%|██▍       | 930/3785 [00:32<01:35, 29.91ex/s]


preprocess datasets #2:  23%|██▎       | 864/3786 [00:32<01:08, 42.47ex/s]



preprocess datasets #3:  26%|██▌       | 970/3786 [00:32<01:34, 29.85ex/s]
preprocess datasets #0:   9%|▉         | 338/3786 [00:32<05:58,  9.61ex/s]




preprocess datasets #4:  25%|██▍       | 934/3785 [00:32<01:34, 30.12ex/s]


preprocess datasets #2:  23%|██▎       | 869/3786 [00:32<01:07, 43.11ex/s]



preprocess datasets #3:  26%|██▌       | 974/3786 [00:32<01:40, 27.91ex/s]

preprocess datasets #1:  11%|█         | 405/3786 [00:32<05:11, 10.87ex/s]
preprocess datasets #0:   9%|▉         | 340/3786 [00:32<06:06,  9.41ex/s]


preprocess datasets #2:  23%|██▎       | 874/3786 [00:32<01:13, 39.59ex/s]



preprocess datasets #3:  26%|██▌       | 977/3786 [00:32<01:41, 27.56ex/s]




preprocess datasets #4:  25%|██▍       | 938/3785 [00:32<01:48, 26.16ex/s]

preprocess datasets #1:  11%|█         | 407/3786 [00:33<05:09, 10.91ex/s]
preprocess datasets #0:   9%|▉         | 341/3786 [00:33<06:10,  9.30ex/s]




preprocess datasets #4:  25%|██▍       | 941/3785 [00:33<01:48, 26.15ex/s]



preprocess datasets #3:  26%|██▌       | 981/3786 [00:33<01:39, 28.08ex/s]


preprocess datasets #2:  23%|██▎       | 879/3786 [00:33<01:20, 36.04ex/s]

preprocess datasets #1:  11%|█         | 409/3786 [00:33<04:57, 11.34ex/s]




preprocess datasets #4:  25%|██▍       | 945/3785 [00:33<01:38, 28.97ex/s]
preprocess datasets #0:   9%|▉         | 343/3786 [00:33<05:39, 10.13ex/s]



preprocess datasets #3:  26%|██▌       | 984/3786 [00:33<01:43, 27.10ex/s]


preprocess datasets #2:  23%|██▎       | 883/3786 [00:33<01:26, 33.71ex/s]




preprocess datasets #4:  25%|██▌       | 949/3785 [00:33<01:31, 30.96ex/s]


preprocess datasets #2:  23%|██▎       | 887/3786 [00:33<01:27, 33.07ex/s]



preprocess datasets #3:  26%|██▌       | 988/3786 [00:33<01:44, 26.66ex/s]
preprocess datasets #0:   9%|▉         | 345/3786 [00:33<05:24, 10.61ex/s]

preprocess datasets #1:  11%|█         | 411/3786 [00:33<05:07, 10.99ex/s]




preprocess datasets #4:  25%|██▌       | 953/3785 [00:33<01:28, 32.05ex/s]



preprocess datasets #3:  26%|██▌       | 991/3786 [00:33<01:42, 27.22ex/s]


preprocess datasets #2:  24%|██▎       | 891/3786 [00:33<01:30, 31.91ex/s]
preprocess datasets #0:   9%|▉         | 348/3786 [00:33<04:21, 13.14ex/s]




preprocess datasets #4:  25%|██▌       | 958/3785 [00:33<01:19, 35.59ex/s]



preprocess datasets #3:  26%|██▋       | 995/3786 [00:33<01:33, 29.88ex/s]

preprocess datasets #1:  11%|█         | 413/3786 [00:33<05:26, 10.32ex/s]




preprocess datasets #4:  25%|██▌       | 964/3785 [00:33<01:09, 40.43ex/s]


preprocess datasets #2:  24%|██▎       | 895/3786 [00:33<01:42, 28.24ex/s]



preprocess datasets #3:  26%|██▋       | 999/3786 [00:33<01:34, 29.38ex/s]
preprocess datasets #0:   9%|▉         | 350/3786 [00:33<04:57, 11.55ex/s]

preprocess datasets #1:  11%|█         | 415/3786 [00:33<05:02, 11.16ex/s]




preprocess datasets #4:  26%|██▌       | 970/3785 [00:33<01:05, 43.11ex/s]


preprocess datasets #2:  24%|██▎       | 898/3786 [00:33<01:50, 26.08ex/s]
preprocess datasets #0:   9%|▉         | 352/3786 [00:33<04:39, 12.30ex/s]




preprocess datasets #4:  26%|██▌       | 976/3785 [00:33<01:02, 44.65ex/s]

preprocess datasets #1:  11%|█         | 417/3786 [00:33<05:11, 10.81ex/s]


preprocess datasets #2:  24%|██▍       | 901/3786 [00:33<01:59, 24.08ex/s]




preprocess datasets #4:  26%|██▌       | 981/3785 [00:34<01:05, 42.56ex/s]
preprocess datasets #0:   9%|▉         | 354/3786 [00:34<04:42, 12.14ex/s]

preprocess datasets #1:  11%|█         | 419/3786 [00:34<04:42, 11.93ex/s]


preprocess datasets #2:  24%|██▍       | 904/3786 [00:34<02:00, 23.95ex/s]




preprocess datasets #4:  26%|██▌       | 986/3785 [00:34<01:03, 43.83ex/s]


preprocess datasets #2:  24%|██▍       | 908/3786 [00:34<01:46, 27.05ex/s]




preprocess datasets #4:  26%|██▌       | 991/3785 [00:34<01:08, 41.06ex/s]
preprocess datasets #0:   9%|▉         | 356/3786 [00:34<05:15, 10.86ex/s]

preprocess datasets #1:  11%|█         | 421/3786 [00:34<05:29, 10.22ex/s]


preprocess datasets #2:  24%|██▍       | 913/3786 [00:34<01:33, 30.87ex/s]



preprocess datasets #3:  26%|██▋       | 1002/3786 [00:34<03:43, 12.47ex/s]
preprocess datasets #0:   9%|▉         | 358/3786 [00:34<05:14, 10.91ex/s]




preprocess datasets #4:  26%|██▋       | 996/3785 [00:34<01:20, 34.55ex/s]



preprocess datasets #3:  27%|██▋       | 1006/3786 [00:34<02:54, 15.93ex/s]

preprocess datasets #1:  11%|█         | 423/3786 [00:34<05:01, 11.15ex/s]


preprocess datasets #2:  24%|██▍       | 917/3786 [00:34<01:37, 29.37ex/s]



preprocess datasets #3:  27%|██▋       | 1013/3786 [00:34<01:58, 23.39ex/s]


preprocess datasets #2:  24%|██▍       | 921/3786 [00:34<01:38, 29.21ex/s]
preprocess datasets #0:  10%|▉         | 360/3786 [00:34<05:10, 11.04ex/s]

preprocess datasets #1:  11%|█▏        | 426/3786 [00:34<04:16, 13.08ex/s]


preprocess datasets #2:  24%|██▍       | 925/3786 [00:34<01:32, 30.79ex/s]
preprocess datasets #0:  10%|▉         | 362/3786 [00:34<04:31, 12.60ex/s]



preprocess datasets #3:  27%|██▋       | 1019/3786 [00:34<01:40, 27.57ex/s]

preprocess datasets #1:  11%|█▏        | 428/3786 [00:34<04:17, 13.05ex/s]


preprocess datasets #2:  25%|██▍       | 931/3786 [00:34<01:19, 35.80ex/s]



preprocess datasets #3:  27%|██▋       | 1024/3786 [00:34<01:30, 30.57ex/s]

preprocess datasets #1:  11%|█▏        | 430/3786 [00:34<04:12, 13.29ex/s]
preprocess datasets #0:  10%|▉         | 364/3786 [00:35<05:02, 11.31ex/s]



preprocess datasets #3:  27%|██▋       | 1029/3786 [00:34<01:20, 34.15ex/s]


preprocess datasets #2:  25%|██▍       | 935/3786 [00:34<01:23, 34.21ex/s]



preprocess datasets #3:  27%|██▋       | 1034/3786 [00:35<01:19, 34.52ex/s]

preprocess datasets #1:  11%|█▏        | 432/3786 [00:35<04:28, 12.47ex/s]


preprocess datasets #2:  25%|██▍       | 939/3786 [00:35<01:27, 32.70ex/s]




preprocess datasets #4:  26%|██▋       | 1000/3785 [00:35<03:02, 15.25ex/s]
preprocess datasets #0:  10%|▉         | 366/3786 [00:35<05:17, 10.79ex/s]



preprocess datasets #3:  27%|██▋       | 1038/3786 [00:35<01:20, 34.34ex/s]




preprocess datasets #4:  27%|██▋       | 1004/3785 [00:35<02:37, 17.64ex/s]

preprocess datasets #1:  11%|█▏        | 434/3786 [00:35<04:32, 12.30ex/s]


preprocess datasets #2:  25%|██▍       | 944/3786 [00:35<01:28, 31.96ex/s]



preprocess datasets #3:  28%|██▊       | 1043/3786 [00:35<01:13, 37.29ex/s]




preprocess datasets #4:  27%|██▋       | 1007/3785 [00:35<02:28, 18.67ex/s]
preprocess datasets #0:  10%|▉         | 368/3786 [00:35<06:02,  9.42ex/s]


preprocess datasets #2:  25%|██▌       | 948/3786 [00:35<01:35, 29.73ex/s]

preprocess datasets #1:  12%|█▏        | 436/3786 [00:35<04:33, 12.27ex/s]



preprocess datasets #3:  28%|██▊       | 1048/3786 [00:35<01:13, 37.40ex/s]




preprocess datasets #4:  27%|██▋       | 1010/3785 [00:35<02:19, 19.84ex/s]


preprocess datasets #2:  25%|██▌       | 952/3786 [00:35<01:33, 30.41ex/s]



preprocess datasets #3:  28%|██▊       | 1052/3786 [00:35<01:13, 37.05ex/s]

preprocess datasets #1:  12%|█▏        | 438/3786 [00:35<04:27, 12.51ex/s]
preprocess datasets #0:  10%|▉         | 370/3786 [00:35<05:50,  9.75ex/s]




preprocess datasets #4:  27%|██▋       | 1014/3785 [00:35<02:07, 21.70ex/s]



preprocess datasets #3:  28%|██▊       | 1056/3786 [00:35<01:13, 37.33ex/s]


preprocess datasets #2:  25%|██▌       | 956/3786 [00:35<01:38, 28.77ex/s]
preprocess datasets #0:  10%|▉         | 372/3786 [00:35<05:01, 11.32ex/s]




preprocess datasets #4:  27%|██▋       | 1017/3785 [00:35<01:59, 23.18ex/s]



preprocess datasets #3:  28%|██▊       | 1061/3786 [00:35<01:08, 39.63ex/s]

preprocess datasets #1:  12%|█▏        | 440/3786 [00:35<05:08, 10.85ex/s]


preprocess datasets #2:  25%|██▌       | 960/3786 [00:35<01:35, 29.68ex/s]



preprocess datasets #3:  28%|██▊       | 1066/3786 [00:35<01:04, 42.12ex/s]




preprocess datasets #4:  27%|██▋       | 1020/3785 [00:35<01:58, 23.30ex/s]



preprocess datasets #3:  28%|██▊       | 1073/3786 [00:35<00:56, 48.32ex/s]


preprocess datasets #2:  25%|██▌       | 964/3786 [00:36<01:39, 28.27ex/s]

preprocess datasets #1:  12%|█▏        | 442/3786 [00:36<05:00, 11.11ex/s]




preprocess datasets #4:  27%|██▋       | 1024/3785 [00:36<01:53, 24.32ex/s]
preprocess datasets #0:  10%|▉         | 374/3786 [00:36<06:53,  8.25ex/s]



preprocess datasets #3:  28%|██▊       | 1078/3786 [00:36<01:00, 44.61ex/s]


preprocess datasets #2:  26%|██▌       | 967/3786 [00:36<01:44, 26.90ex/s]

preprocess datasets #1:  12%|█▏        | 444/3786 [00:36<05:11, 10.72ex/s]




preprocess datasets #4:  27%|██▋       | 1027/3785 [00:36<02:05, 21.93ex/s]


preprocess datasets #2:  26%|██▌       | 972/3786 [00:36<01:28, 31.65ex/s]
preprocess datasets #0:  10%|▉         | 377/3786 [00:36<05:16, 10.78ex/s]



preprocess datasets #3:  29%|██▊       | 1083/3786 [00:36<01:07, 40.30ex/s]

preprocess datasets #1:  12%|█▏        | 446/3786 [00:36<04:56, 11.28ex/s]




preprocess datasets #4:  27%|██▋       | 1030/3785 [00:36<02:07, 21.61ex/s]



preprocess datasets #3:  29%|██▊       | 1088/3786 [00:36<01:07, 40.03ex/s]
preprocess datasets #0:  10%|█         | 380/3786 [00:36<04:29, 12.63ex/s]


preprocess datasets #2:  26%|██▌       | 976/3786 [00:36<01:43, 27.26ex/s]




preprocess datasets #4:  27%|██▋       | 1033/3785 [00:36<02:05, 21.99ex/s]



preprocess datasets #3:  29%|██▉       | 1093/3786 [00:36<01:05, 41.39ex/s]

preprocess datasets #1:  12%|█▏        | 448/3786 [00:36<04:51, 11.45ex/s]


preprocess datasets #2:  26%|██▌       | 980/3786 [00:36<01:37, 28.75ex/s]
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preprocess datasets #4:  27%|██▋       | 1036/3785 [00:36<01:56, 23.61ex/s]

preprocess datasets #1:  12%|█▏        | 451/3786 [00:36<04:05, 13.60ex/s]



preprocess datasets #3:  29%|██▉       | 1098/3786 [00:36<01:12, 36.84ex/s]




preprocess datasets #4:  28%|██▊       | 1041/3785 [00:36<01:39, 27.63ex/s]


preprocess datasets #2:  26%|██▌       | 984/3786 [00:36<01:50, 25.28ex/s]
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preprocess datasets #3:  29%|██▉       | 1105/3786 [00:36<01:02, 43.09ex/s]

preprocess datasets #1:  12%|█▏        | 453/3786 [00:36<04:01, 13.82ex/s]




preprocess datasets #4:  28%|██▊       | 1044/3785 [00:36<01:41, 26.91ex/s]


preprocess datasets #2:  26%|██▌       | 987/3786 [00:36<01:55, 24.29ex/s]



preprocess datasets #3:  29%|██▉       | 1110/3786 [00:36<01:03, 42.27ex/s]




preprocess datasets #4:  28%|██▊       | 1047/3785 [00:36<01:47, 25.58ex/s]

preprocess datasets #1:  12%|█▏        | 455/3786 [00:37<04:15, 13.02ex/s]


preprocess datasets #2:  26%|██▌       | 992/3786 [00:37<01:37, 28.72ex/s]
preprocess datasets #0:  10%|█         | 386/3786 [00:37<05:28, 10.36ex/s]



preprocess datasets #3:  29%|██▉       | 1115/3786 [00:37<01:04, 41.44ex/s]




preprocess datasets #4:  28%|██▊       | 1050/3785 [00:37<01:49, 24.90ex/s]

preprocess datasets #1:  12%|█▏        | 457/3786 [00:37<04:16, 12.96ex/s]



preprocess datasets #3:  30%|██▉       | 1120/3786 [00:37<01:06, 39.98ex/s]


preprocess datasets #2:  26%|██▋       | 996/3786 [00:37<01:52, 24.77ex/s]




preprocess datasets #4:  28%|██▊       | 1053/3785 [00:37<01:56, 23.54ex/s]
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preprocess datasets #1:  12%|█▏        | 460/3786 [00:37<03:54, 14.17ex/s]



preprocess datasets #3:  30%|██▉       | 1126/3786 [00:37<01:05, 40.59ex/s]




preprocess datasets #4:  28%|██▊       | 1059/3785 [00:37<01:27, 31.07ex/s]


preprocess datasets #2:  26%|██▋       | 999/3786 [00:37<01:59, 23.28ex/s]

preprocess datasets #1:  12%|█▏        | 462/3786 [00:37<03:38, 15.24ex/s]



preprocess datasets #3:  30%|██▉       | 1131/3786 [00:37<01:03, 41.56ex/s]
preprocess datasets #0:  10%|█         | 390/3786 [00:37<05:35, 10.11ex/s]




preprocess datasets #4:  28%|██▊       | 1064/3785 [00:37<01:21, 33.55ex/s]



preprocess datasets #3:  30%|███       | 1136/3786 [00:37<01:03, 41.97ex/s]

preprocess datasets #1:  12%|█▏        | 464/3786 [00:37<03:43, 14.86ex/s]
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preprocess datasets #4:  28%|██▊       | 1068/3785 [00:37<01:23, 32.48ex/s]



preprocess datasets #3:  30%|███       | 1141/3786 [00:37<01:12, 36.66ex/s]
preprocess datasets #0:  10%|█         | 394/3786 [00:37<04:55, 11.48ex/s]

preprocess datasets #1:  12%|█▏        | 466/3786 [00:37<04:06, 13.49ex/s]




preprocess datasets #4:  28%|██▊       | 1072/3785 [00:37<01:36, 28.26ex/s]



preprocess datasets #3:  30%|███       | 1145/3786 [00:37<01:16, 34.56ex/s]

preprocess datasets #1:  12%|█▏        | 468/3786 [00:37<04:09, 13.30ex/s]




preprocess datasets #4:  28%|██▊       | 1076/3785 [00:37<01:29, 30.39ex/s]
preprocess datasets #0:  10%|█         | 396/3786 [00:38<05:21, 10.54ex/s]



preprocess datasets #3:  30%|███       | 1151/3786 [00:37<01:06, 39.35ex/s]

preprocess datasets #1:  12%|█▏        | 470/3786 [00:38<04:25, 12.48ex/s]



preprocess datasets #3:  31%|███       | 1156/3786 [00:38<01:07, 38.69ex/s]




preprocess datasets #4:  29%|██▊       | 1080/3785 [00:38<01:51, 24.26ex/s]



preprocess datasets #3:  31%|███       | 1160/3786 [00:38<01:11, 36.66ex/s]
preprocess datasets #0:  11%|█         | 398/3786 [00:38<06:08,  9.19ex/s]




preprocess datasets #4:  29%|██▊       | 1083/3785 [00:38<01:48, 24.93ex/s]

preprocess datasets #1:  12%|█▏        | 472/3786 [00:38<04:53, 11.28ex/s]



preprocess datasets #3:  31%|███       | 1164/3786 [00:38<01:12, 36.29ex/s]
preprocess datasets #0:  11%|█         | 399/3786 [00:38<06:06,  9.23ex/s]




preprocess datasets #4:  29%|██▊       | 1086/3785 [00:38<01:52, 24.02ex/s]

preprocess datasets #1:  13%|█▎        | 474/3786 [00:38<04:32, 12.16ex/s]



preprocess datasets #3:  31%|███       | 1169/3786 [00:38<01:08, 38.23ex/s]
preprocess datasets #0:  11%|█         | 401/3786 [00:38<05:28, 10.29ex/s]




preprocess datasets #4:  29%|██▉       | 1089/3785 [00:38<01:54, 23.54ex/s]



preprocess datasets #3:  31%|███       | 1174/3786 [00:38<01:04, 40.57ex/s]

preprocess datasets #1:  13%|█▎        | 476/3786 [00:38<04:29, 12.28ex/s]




preprocess datasets #4:  29%|██▉       | 1092/3785 [00:38<01:49, 24.66ex/s]
preprocess datasets #0:  11%|█         | 403/3786 [00:38<05:05, 11.06ex/s]


preprocess datasets #2:  26%|██▋       | 1002/3786 [00:38<06:44,  6.88ex/s]

preprocess datasets #1:  13%|█▎        | 478/3786 [00:38<04:32, 12.12ex/s]




preprocess datasets #4:  29%|██▉       | 1096/3785 [00:38<01:46, 25.28ex/s]


preprocess datasets #2:  27%|██▋       | 1006/3786 [00:38<04:56,  9.36ex/s]
preprocess datasets #0:  11%|█         | 405/3786 [00:38<04:58, 11.33ex/s]



preprocess datasets #3:  31%|███       | 1179/3786 [00:38<01:25, 30.46ex/s]

preprocess datasets #1:  13%|█▎        | 480/3786 [00:38<04:01, 13.71ex/s]




preprocess datasets #4:  29%|██▉       | 1099/3785 [00:38<01:44, 25.70ex/s]


preprocess datasets #2:  27%|██▋       | 1011/3786 [00:38<03:29, 13.23ex/s]
preprocess datasets #0:  11%|█         | 407/3786 [00:39<04:46, 11.81ex/s]



preprocess datasets #3:  31%|███       | 1183/3786 [00:39<01:29, 29.04ex/s]

preprocess datasets #1:  13%|█▎        | 482/3786 [00:39<03:59, 13.80ex/s]




preprocess datasets #4:  29%|██▉       | 1103/3785 [00:39<01:34, 28.33ex/s]


preprocess datasets #2:  27%|██▋       | 1015/3786 [00:39<02:52, 16.09ex/s]



preprocess datasets #3:  31%|███▏      | 1187/3786 [00:39<01:26, 29.90ex/s]




preprocess datasets #4:  29%|██▉       | 1106/3785 [00:39<01:37, 27.55ex/s]
preprocess datasets #0:  11%|█         | 409/3786 [00:39<04:48, 11.72ex/s]


preprocess datasets #2:  27%|██▋       | 1020/3786 [00:39<02:14, 20.55ex/s]

preprocess datasets #1:  13%|█▎        | 484/3786 [00:39<04:01, 13.67ex/s]




preprocess datasets #4:  29%|██▉       | 1110/3785 [00:39<01:28, 30.30ex/s]


preprocess datasets #2:  27%|██▋       | 1024/3786 [00:39<01:56, 23.81ex/s]



preprocess datasets #3:  31%|███▏      | 1191/3786 [00:39<01:35, 27.21ex/s]
preprocess datasets #0:  11%|█         | 411/3786 [00:39<04:34, 12.29ex/s]

preprocess datasets #1:  13%|█▎        | 486/3786 [00:39<04:02, 13.61ex/s]




preprocess datasets #4:  29%|██▉       | 1114/3785 [00:39<01:25, 31.22ex/s]


preprocess datasets #2:  27%|██▋       | 1031/3786 [00:39<01:27, 31.35ex/s]



preprocess datasets #3:  32%|███▏      | 1195/3786 [00:39<01:27, 29.58ex/s]

preprocess datasets #1:  13%|█▎        | 488/3786 [00:39<04:06, 13.37ex/s]
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preprocess datasets #3:  32%|███▏      | 1199/3786 [00:39<01:20, 31.95ex/s]


preprocess datasets #2:  27%|██▋       | 1036/3786 [00:39<01:22, 33.53ex/s]




preprocess datasets #4:  30%|██▉       | 1118/3785 [00:39<01:36, 27.55ex/s]



preprocess datasets #3:  32%|███▏      | 1203/3786 [00:39<01:17, 33.16ex/s]

preprocess datasets #1:  13%|█▎        | 490/3786 [00:39<04:03, 13.51ex/s]


preprocess datasets #2:  27%|██▋       | 1041/3786 [00:39<01:21, 33.54ex/s]
preprocess datasets #0:  11%|█         | 415/3786 [00:39<04:52, 11.54ex/s]




preprocess datasets #4:  30%|██▉       | 1123/3785 [00:39<01:25, 31.13ex/s]



preprocess datasets #3:  32%|███▏      | 1207/3786 [00:39<01:15, 34.30ex/s]

preprocess datasets #1:  13%|█▎        | 492/3786 [00:39<03:53, 14.09ex/s]


preprocess datasets #2:  28%|██▊       | 1046/3786 [00:39<01:15, 36.50ex/s]




preprocess datasets #4:  30%|██▉       | 1127/3785 [00:39<01:28, 30.14ex/s]
preprocess datasets #0:  11%|█         | 417/3786 [00:39<04:56, 11.35ex/s]


preprocess datasets #2:  28%|██▊       | 1051/3786 [00:39<01:13, 37.27ex/s]

preprocess datasets #1:  13%|█▎        | 494/3786 [00:39<04:01, 13.61ex/s]



preprocess datasets #3:  32%|███▏      | 1211/3786 [00:39<01:32, 27.74ex/s]




preprocess datasets #4:  30%|██▉       | 1132/3785 [00:39<01:17, 34.37ex/s]


preprocess datasets #2:  28%|██▊       | 1056/3786 [00:40<01:15, 36.23ex/s]

preprocess datasets #1:  13%|█▎        | 497/3786 [00:40<03:32, 15.49ex/s]
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preprocess datasets #4:  30%|███       | 1136/3785 [00:40<01:22, 31.96ex/s]


preprocess datasets #2:  28%|██▊       | 1060/3786 [00:40<01:13, 37.05ex/s]



preprocess datasets #3:  32%|███▏      | 1215/3786 [00:40<01:50, 23.34ex/s]

preprocess datasets #1:  13%|█▎        | 499/3786 [00:40<03:42, 14.79ex/s]


preprocess datasets #2:  28%|██▊       | 1065/3786 [00:40<01:08, 39.90ex/s]




preprocess datasets #4:  30%|███       | 1140/3785 [00:40<01:32, 28.47ex/s]
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preprocess datasets #3:  32%|███▏      | 1220/3786 [00:40<01:34, 27.09ex/s]


preprocess datasets #2:  28%|██▊       | 1070/3786 [00:40<01:04, 42.33ex/s]




preprocess datasets #4:  30%|███       | 1144/3785 [00:40<01:31, 29.00ex/s]

preprocess datasets #1:  13%|█▎        | 501/3786 [00:40<04:20, 12.63ex/s]
preprocess datasets #0:  11%|█         | 423/3786 [00:40<05:11, 10.81ex/s]


preprocess datasets #2:  28%|██▊       | 1075/3786 [00:40<01:03, 42.53ex/s]



preprocess datasets #3:  32%|███▏      | 1224/3786 [00:40<01:41, 25.22ex/s]




preprocess datasets #4:  30%|███       | 1149/3785 [00:40<01:19, 33.35ex/s]



preprocess datasets #3:  32%|███▏      | 1229/3786 [00:40<01:29, 28.59ex/s]

preprocess datasets #1:  13%|█▎        | 504/3786 [00:40<03:58, 13.78ex/s]


preprocess datasets #2:  29%|██▊       | 1080/3786 [00:40<01:09, 38.70ex/s]




preprocess datasets #4:  30%|███       | 1153/3785 [00:40<01:21, 32.38ex/s]
preprocess datasets #0:  11%|█         | 425/3786 [00:40<05:20, 10.48ex/s]

preprocess datasets #1:  13%|█▎        | 506/3786 [00:40<03:43, 14.66ex/s]




preprocess datasets #4:  31%|███       | 1157/3785 [00:40<01:19, 32.86ex/s]


preprocess datasets #2:  29%|██▊       | 1085/3786 [00:40<01:09, 39.00ex/s]



preprocess datasets #3:  33%|███▎      | 1233/3786 [00:40<01:36, 26.52ex/s]
preprocess datasets #0:  11%|█▏        | 427/3786 [00:40<05:25, 10.31ex/s]




preprocess datasets #4:  31%|███       | 1161/3785 [00:40<01:23, 31.42ex/s]


preprocess datasets #2:  29%|██▉       | 1090/3786 [00:40<01:12, 37.31ex/s]



preprocess datasets #3:  33%|███▎      | 1236/3786 [00:40<01:41, 25.16ex/s]

preprocess datasets #1:  13%|█▎        | 508/3786 [00:40<04:13, 12.92ex/s]




preprocess datasets #4:  31%|███       | 1165/3785 [00:41<01:18, 33.23ex/s]


preprocess datasets #2:  29%|██▉       | 1095/3786 [00:41<01:07, 40.15ex/s]



preprocess datasets #3:  33%|███▎      | 1240/3786 [00:41<01:36, 26.33ex/s]
preprocess datasets #0:  11%|█▏        | 429/3786 [00:41<05:42,  9.79ex/s]

preprocess datasets #1:  13%|█▎        | 510/3786 [00:41<04:15, 12.84ex/s]




preprocess datasets #4:  31%|███       | 1169/3785 [00:41<01:19, 33.11ex/s]


preprocess datasets #2:  29%|██▉       | 1101/3786 [00:41<01:02, 43.07ex/s]



preprocess datasets #3:  33%|███▎      | 1243/3786 [00:41<01:35, 26.71ex/s]
preprocess datasets #0:  11%|█▏        | 431/3786 [00:41<05:15, 10.64ex/s]




preprocess datasets #4:  31%|███       | 1173/3785 [00:41<01:23, 31.33ex/s]


preprocess datasets #2:  29%|██▉       | 1106/3786 [00:41<01:07, 39.61ex/s]

preprocess datasets #1:  14%|█▎        | 512/3786 [00:41<04:30, 12.12ex/s]



preprocess datasets #3:  33%|███▎      | 1247/3786 [00:41<01:28, 28.54ex/s]




preprocess datasets #4:  31%|███       | 1178/3785 [00:41<01:13, 35.39ex/s]


preprocess datasets #2:  29%|██▉       | 1112/3786 [00:41<01:01, 43.16ex/s]

preprocess datasets #1:  14%|█▎        | 514/3786 [00:41<04:10, 13.08ex/s]
preprocess datasets #0:  11%|█▏        | 433/3786 [00:41<05:15, 10.62ex/s]



preprocess datasets #3:  33%|███▎      | 1250/3786 [00:41<01:33, 27.05ex/s]




preprocess datasets #4:  31%|███▏      | 1183/3785 [00:41<01:10, 37.16ex/s]


preprocess datasets #2:  30%|██▉       | 1117/3786 [00:41<01:01, 43.14ex/s]



preprocess datasets #3:  33%|███▎      | 1254/3786 [00:41<01:24, 30.11ex/s]

preprocess datasets #1:  14%|█▎        | 516/3786 [00:41<03:57, 13.75ex/s]
preprocess datasets #0:  11%|█▏        | 435/3786 [00:41<05:14, 10.64ex/s]




preprocess datasets #4:  31%|███▏      | 1188/3785 [00:41<01:09, 37.41ex/s]


preprocess datasets #2:  30%|██▉       | 1122/3786 [00:41<01:05, 40.82ex/s]



preprocess datasets #3:  33%|███▎      | 1258/3786 [00:41<01:27, 29.05ex/s]

preprocess datasets #1:  14%|█▎        | 518/3786 [00:41<04:19, 12.59ex/s]




preprocess datasets #4:  31%|███▏      | 1192/3785 [00:41<01:09, 37.57ex/s]


preprocess datasets #2:  30%|██▉       | 1127/3786 [00:41<01:05, 40.44ex/s]
preprocess datasets #0:  12%|█▏        | 437/3786 [00:41<05:07, 10.89ex/s]



preprocess datasets #3:  33%|███▎      | 1262/3786 [00:41<01:22, 30.63ex/s]

preprocess datasets #1:  14%|█▎        | 520/3786 [00:41<03:59, 13.65ex/s]




preprocess datasets #4:  32%|███▏      | 1198/3785 [00:41<01:04, 40.14ex/s]


preprocess datasets #2:  30%|██▉       | 1132/3786 [00:41<01:03, 41.97ex/s]



preprocess datasets #3:  33%|███▎      | 1266/3786 [00:41<01:27, 28.67ex/s]
preprocess datasets #0:  12%|█▏        | 439/3786 [00:42<05:03, 11.02ex/s]

preprocess datasets #1:  14%|█▍        | 522/3786 [00:42<03:55, 13.83ex/s]




preprocess datasets #4:  32%|███▏      | 1205/3785 [00:41<00:56, 45.33ex/s]


preprocess datasets #2:  30%|███       | 1137/3786 [00:42<01:05, 40.67ex/s]



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preprocess datasets #4:  32%|███▏      | 1212/3785 [00:42<00:50, 51.22ex/s]
preprocess datasets #0:  12%|█▏        | 441/3786 [00:42<04:54, 11.36ex/s]

preprocess datasets #1:  14%|█▍        | 524/3786 [00:42<03:54, 13.92ex/s]


preprocess datasets #2:  30%|███       | 1142/3786 [00:42<01:04, 41.06ex/s]



preprocess datasets #3:  34%|███▎      | 1274/3786 [00:42<01:18, 32.06ex/s]

preprocess datasets #1:  14%|█▍        | 526/3786 [00:42<03:36, 15.04ex/s]




preprocess datasets #4:  32%|███▏      | 1218/3785 [00:42<00:54, 47.53ex/s]
preprocess datasets #0:  12%|█▏        | 443/3786 [00:42<05:20, 10.43ex/s]



preprocess datasets #3:  34%|███▍      | 1278/3786 [00:42<01:29, 27.91ex/s]


preprocess datasets #2:  30%|███       | 1147/3786 [00:42<01:25, 30.89ex/s]

preprocess datasets #1:  14%|█▍        | 528/3786 [00:42<04:20, 12.50ex/s]




preprocess datasets #4:  32%|███▏      | 1223/3785 [00:42<01:10, 36.47ex/s]
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preprocess datasets #3:  34%|███▍      | 1281/3786 [00:42<01:39, 25.30ex/s]




preprocess datasets #4:  32%|███▏      | 1228/3785 [00:42<01:07, 37.97ex/s]



preprocess datasets #3:  34%|███▍      | 1284/3786 [00:42<01:37, 25.66ex/s]
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preprocess datasets #2:  31%|███       | 1155/3786 [00:42<01:29, 29.44ex/s]

preprocess datasets #1:  14%|█▍        | 530/3786 [00:42<04:58, 10.91ex/s]




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preprocess datasets #3:  34%|███▍      | 1287/3786 [00:42<01:35, 26.25ex/s]
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preprocess datasets #2:  31%|███       | 1159/3786 [00:42<01:41, 25.94ex/s]



preprocess datasets #3:  34%|███▍      | 1291/3786 [00:42<01:31, 27.42ex/s]

preprocess datasets #1:  14%|█▍        | 532/3786 [00:42<05:17, 10.24ex/s]
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preprocess datasets #3:  34%|███▍      | 1294/3786 [00:43<01:34, 26.24ex/s]


preprocess datasets #2:  31%|███       | 1164/3786 [00:43<01:30, 28.84ex/s]




preprocess datasets #4:  33%|███▎      | 1249/3785 [00:43<01:01, 41.53ex/s]

preprocess datasets #1:  14%|█▍        | 534/3786 [00:43<05:21, 10.11ex/s]



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preprocess datasets #2:  31%|███       | 1168/3786 [00:43<01:32, 28.18ex/s]
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preprocess datasets #3:  34%|███▍      | 1301/3786 [00:43<01:35, 26.13ex/s]


preprocess datasets #2:  31%|███       | 1171/3786 [00:43<01:36, 27.16ex/s]

preprocess datasets #1:  14%|█▍        | 536/3786 [00:43<05:20, 10.15ex/s]




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preprocess datasets #3:  34%|███▍      | 1304/3786 [00:43<01:33, 26.59ex/s]
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preprocess datasets #3:  35%|███▍      | 1307/3786 [00:43<01:34, 26.11ex/s]


preprocess datasets #2:  31%|███       | 1177/3786 [00:43<01:36, 27.17ex/s]

preprocess datasets #1:  14%|█▍        | 538/3786 [00:43<05:54,  9.16ex/s]




preprocess datasets #4:  34%|███▎      | 1268/3785 [00:43<01:08, 36.95ex/s]



preprocess datasets #3:  35%|███▍      | 1311/3786 [00:43<01:26, 28.73ex/s]
preprocess datasets #0:  12%|█▏        | 457/3786 [00:43<05:32, 10.00ex/s]


preprocess datasets #2:  31%|███       | 1181/3786 [00:43<01:28, 29.46ex/s]



preprocess datasets #3:  35%|███▍      | 1314/3786 [00:43<01:26, 28.49ex/s]


preprocess datasets #2:  31%|███▏      | 1184/3786 [00:43<01:30, 28.72ex/s]




preprocess datasets #4:  34%|███▎      | 1274/3785 [00:43<01:03, 39.54ex/s]
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preprocess datasets #2:  31%|███▏      | 1187/3786 [00:43<01:31, 28.29ex/s]

preprocess datasets #1:  14%|█▍        | 540/3786 [00:43<06:16,  8.63ex/s]



preprocess datasets #3:  35%|███▍      | 1319/3786 [00:43<01:20, 30.65ex/s]

preprocess datasets #1:  14%|█▍        | 541/3786 [00:43<06:12,  8.71ex/s]


preprocess datasets #2:  31%|███▏      | 1191/3786 [00:43<01:27, 29.73ex/s]




preprocess datasets #4:  34%|███▍      | 1279/3785 [00:43<01:21, 30.71ex/s]



preprocess datasets #3:  35%|███▍      | 1323/3786 [00:44<01:23, 29.41ex/s]
preprocess datasets #0:  12%|█▏        | 461/3786 [00:44<05:27, 10.16ex/s]


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preprocess datasets #1:  14%|█▍        | 543/3786 [00:44<05:33,  9.72ex/s]



preprocess datasets #3:  35%|███▌      | 1326/3786 [00:44<01:29, 27.48ex/s]




preprocess datasets #4:  34%|███▍      | 1283/3785 [00:44<01:26, 28.96ex/s]
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preprocess datasets #3:  35%|███▌      | 1330/3786 [00:44<01:21, 30.14ex/s]




preprocess datasets #4:  34%|███▍      | 1287/3785 [00:44<01:25, 29.29ex/s]

preprocess datasets #1:  14%|█▍        | 545/3786 [00:44<05:47,  9.34ex/s]


preprocess datasets #2:  32%|███▏      | 1203/3786 [00:44<01:25, 30.09ex/s]
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preprocess datasets #3:  35%|███▌      | 1334/3786 [00:44<01:23, 29.41ex/s]




preprocess datasets #4:  34%|███▍      | 1292/3785 [00:44<01:19, 31.38ex/s]


preprocess datasets #2:  32%|███▏      | 1207/3786 [00:44<01:20, 32.10ex/s]



preprocess datasets #3:  35%|███▌      | 1338/3786 [00:44<01:25, 28.53ex/s]




preprocess datasets #4:  34%|███▍      | 1299/3785 [00:44<01:05, 37.83ex/s]
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preprocess datasets #1:  14%|█▍        | 547/3786 [00:44<06:11,  8.71ex/s]



preprocess datasets #3:  35%|███▌      | 1341/3786 [00:44<01:28, 27.52ex/s]




preprocess datasets #4:  34%|███▍      | 1304/3785 [00:44<01:03, 39.06ex/s]


preprocess datasets #2:  32%|███▏      | 1217/3786 [00:44<01:07, 38.02ex/s]
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preprocess datasets #4:  35%|███▍      | 1309/3785 [00:44<00:59, 41.57ex/s]


preprocess datasets #2:  32%|███▏      | 1222/3786 [00:44<01:02, 40.75ex/s]



preprocess datasets #3:  35%|███▌      | 1344/3786 [00:44<01:37, 24.93ex/s]

preprocess datasets #1:  15%|█▍        | 549/3786 [00:44<05:55,  9.11ex/s]




preprocess datasets #4:  35%|███▍      | 1314/3785 [00:44<01:02, 39.37ex/s]



preprocess datasets #3:  36%|███▌      | 1347/3786 [00:44<01:35, 25.57ex/s]
preprocess datasets #0:  12%|█▏        | 472/3786 [00:44<04:54, 11.24ex/s]

preprocess datasets #1:  15%|█▍        | 550/3786 [00:45<06:43,  8.02ex/s]


preprocess datasets #2:  32%|███▏      | 1227/3786 [00:45<01:14, 34.14ex/s]




preprocess datasets #4:  35%|███▍      | 1319/3785 [00:45<01:06, 37.17ex/s]



preprocess datasets #3:  36%|███▌      | 1351/3786 [00:45<01:34, 25.82ex/s]
preprocess datasets #0:  13%|█▎        | 474/3786 [00:45<04:49, 11.42ex/s]


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preprocess datasets #4:  35%|███▍      | 1324/3785 [00:45<01:04, 37.94ex/s]



preprocess datasets #3:  36%|███▌      | 1354/3786 [00:45<01:35, 25.45ex/s]
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preprocess datasets #4:  35%|███▌      | 1330/3785 [00:45<00:58, 41.89ex/s]



preprocess datasets #3:  36%|███▌      | 1357/3786 [00:45<01:33, 26.10ex/s]

preprocess datasets #1:  15%|█▍        | 551/3786 [00:45<08:45,  6.16ex/s]


preprocess datasets #2:  33%|███▎      | 1235/3786 [00:45<01:36, 26.55ex/s]



preprocess datasets #3:  36%|███▌      | 1360/3786 [00:45<01:31, 26.40ex/s]
preprocess datasets #0:  13%|█▎        | 478/3786 [00:45<04:33, 12.10ex/s]

preprocess datasets #1:  15%|█▍        | 552/3786 [00:45<08:27,  6.38ex/s]




preprocess datasets #4:  35%|███▌      | 1335/3785 [00:45<01:05, 37.63ex/s]


preprocess datasets #2:  33%|███▎      | 1238/3786 [00:45<01:34, 27.09ex/s]



preprocess datasets #3:  36%|███▌      | 1363/3786 [00:45<01:30, 26.73ex/s]

preprocess datasets #1:  15%|█▍        | 553/3786 [00:45<07:58,  6.75ex/s]
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preprocess datasets #4:  35%|███▌      | 1339/3785 [00:45<01:09, 35.07ex/s]


preprocess datasets #2:  33%|███▎      | 1242/3786 [00:45<01:29, 28.52ex/s]



preprocess datasets #3:  36%|███▌      | 1366/3786 [00:45<01:34, 25.61ex/s]




preprocess datasets #4:  35%|███▌      | 1343/3785 [00:45<01:07, 36.02ex/s]
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preprocess datasets #1:  15%|█▍        | 555/3786 [00:45<07:11,  7.49ex/s]



preprocess datasets #3:  36%|███▌      | 1369/3786 [00:45<01:41, 23.90ex/s]




preprocess datasets #4:  36%|███▌      | 1347/3785 [00:45<01:15, 32.41ex/s]


preprocess datasets #2:  33%|███▎      | 1250/3786 [00:45<01:30, 28.06ex/s]



preprocess datasets #3:  36%|███▌      | 1372/3786 [00:45<01:42, 23.47ex/s]
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preprocess datasets #4:  36%|███▌      | 1352/3785 [00:45<01:07, 36.20ex/s]

preprocess datasets #1:  15%|█▍        | 557/3786 [00:46<06:42,  8.03ex/s]



preprocess datasets #3:  36%|███▋      | 1375/3786 [00:46<01:40, 24.04ex/s]


preprocess datasets #2:  33%|███▎      | 1253/3786 [00:46<01:40, 25.30ex/s]
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preprocess datasets #4:  36%|███▌      | 1356/3785 [00:46<01:16, 31.73ex/s]


preprocess datasets #2:  33%|███▎      | 1256/3786 [00:46<01:40, 25.24ex/s]



preprocess datasets #3:  36%|███▋      | 1378/3786 [00:46<01:44, 23.00ex/s]

preprocess datasets #1:  15%|█▍        | 559/3786 [00:46<06:14,  8.61ex/s]




preprocess datasets #4:  36%|███▌      | 1362/3785 [00:46<01:04, 37.57ex/s]
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preprocess datasets #2:  33%|███▎      | 1259/3786 [00:46<01:41, 24.92ex/s]

preprocess datasets #1:  15%|█▍        | 560/3786 [00:46<06:10,  8.70ex/s]



preprocess datasets #3:  36%|███▋      | 1381/3786 [00:46<01:50, 21.77ex/s]




preprocess datasets #4:  36%|███▌      | 1367/3785 [00:46<01:02, 38.47ex/s]
preprocess datasets #0:  13%|█▎        | 490/3786 [00:46<04:26, 12.35ex/s]


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preprocess datasets #1:  15%|█▍        | 561/3786 [00:46<06:12,  8.67ex/s]




preprocess datasets #4:  36%|███▌      | 1372/3785 [00:46<01:00, 39.83ex/s]



preprocess datasets #3:  37%|███▋      | 1384/3786 [00:46<01:53, 21.22ex/s]


preprocess datasets #2:  33%|███▎      | 1266/3786 [00:46<01:35, 26.42ex/s]

preprocess datasets #1:  15%|█▍        | 562/3786 [00:46<06:21,  8.45ex/s]



preprocess datasets #3:  37%|███▋      | 1387/3786 [00:46<01:45, 22.68ex/s]




preprocess datasets #4:  36%|███▋      | 1377/3785 [00:46<01:02, 38.71ex/s]
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preprocess datasets #3:  37%|███▋      | 1390/3786 [00:46<01:40, 23.79ex/s]

preprocess datasets #1:  15%|█▍        | 564/3786 [00:46<06:06,  8.78ex/s]




preprocess datasets #4:  36%|███▋      | 1381/3785 [00:46<01:13, 32.78ex/s]


preprocess datasets #2:  34%|███▎      | 1273/3786 [00:46<01:36, 26.09ex/s]



preprocess datasets #3:  37%|███▋      | 1394/3786 [00:46<01:28, 27.01ex/s]
preprocess datasets #0:  13%|█▎        | 494/3786 [00:46<05:18, 10.34ex/s]


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preprocess datasets #1:  15%|█▍        | 565/3786 [00:46<06:51,  7.82ex/s]




preprocess datasets #4:  37%|███▋      | 1385/3785 [00:46<01:23, 28.91ex/s]



preprocess datasets #3:  37%|███▋      | 1397/3786 [00:46<01:40, 23.76ex/s]


preprocess datasets #2:  34%|███▍      | 1280/3786 [00:47<01:33, 26.73ex/s]
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preprocess datasets #4:  37%|███▋      | 1389/3785 [00:47<01:19, 30.28ex/s]



preprocess datasets #3:  37%|███▋      | 1400/3786 [00:47<01:46, 22.45ex/s]

preprocess datasets #1:  15%|█▍        | 567/3786 [00:47<06:21,  8.43ex/s]


preprocess datasets #2:  34%|███▍      | 1283/3786 [00:47<01:44, 23.86ex/s]



preprocess datasets #3:  37%|███▋      | 1403/3786 [00:47<01:41, 23.57ex/s]
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preprocess datasets #4:  37%|███▋      | 1393/3785 [00:47<01:28, 27.16ex/s]

preprocess datasets #1:  15%|█▌        | 568/3786 [00:47<06:37,  8.09ex/s]


preprocess datasets #2:  34%|███▍      | 1286/3786 [00:47<01:40, 24.82ex/s]



preprocess datasets #3:  37%|███▋      | 1407/3786 [00:47<01:31, 26.09ex/s]




preprocess datasets #4:  37%|███▋      | 1396/3785 [00:47<01:32, 25.85ex/s]
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preprocess datasets #1:  15%|█▌        | 570/3786 [00:47<05:47,  9.27ex/s]


preprocess datasets #2:  34%|███▍      | 1289/3786 [00:47<01:52, 22.18ex/s]



preprocess datasets #3:  37%|███▋      | 1412/3786 [00:47<01:19, 29.80ex/s]




preprocess datasets #4:  37%|███▋      | 1400/3785 [00:47<01:26, 27.51ex/s]

preprocess datasets #1:  15%|█▌        | 571/3786 [00:47<05:58,  8.96ex/s]


preprocess datasets #2:  34%|███▍      | 1293/3786 [00:47<01:40, 24.90ex/s]




preprocess datasets #4:  37%|███▋      | 1403/3785 [00:47<01:25, 27.92ex/s]



preprocess datasets #3:  37%|███▋      | 1416/3786 [00:47<01:26, 27.29ex/s]
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preprocess datasets #4:  37%|███▋      | 1406/3785 [00:47<01:27, 27.19ex/s]


preprocess datasets #2:  34%|███▍      | 1296/3786 [00:47<01:42, 24.35ex/s]

preprocess datasets #1:  15%|█▌        | 573/3786 [00:47<05:25,  9.87ex/s]



preprocess datasets #3:  37%|███▋      | 1419/3786 [00:47<01:29, 26.46ex/s]
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preprocess datasets #4:  37%|███▋      | 1409/3785 [00:47<01:25, 27.64ex/s]


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preprocess datasets #3:  38%|███▊      | 1422/3786 [00:47<01:33, 25.35ex/s]




preprocess datasets #4:  37%|███▋      | 1412/3785 [00:47<01:24, 28.15ex/s]

preprocess datasets #1:  15%|█▌        | 575/3786 [00:48<05:30,  9.72ex/s]


preprocess datasets #2:  34%|███▍      | 1303/3786 [00:48<01:38, 25.15ex/s]



preprocess datasets #3:  38%|███▊      | 1426/3786 [00:48<01:23, 28.14ex/s]




preprocess datasets #4:  37%|███▋      | 1415/3785 [00:48<01:25, 27.79ex/s]
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preprocess datasets #1:  15%|█▌        | 576/3786 [00:48<05:58,  8.95ex/s]


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preprocess datasets #3:  38%|███▊      | 1429/3786 [00:48<01:32, 25.52ex/s]




preprocess datasets #4:  37%|███▋      | 1419/3785 [00:48<01:24, 27.93ex/s]


preprocess datasets #2:  35%|███▍      | 1311/3786 [00:48<01:20, 30.93ex/s]

preprocess datasets #1:  15%|█▌        | 577/3786 [00:48<06:05,  8.79ex/s]
preprocess datasets #0:  13%|█▎        | 507/3786 [00:48<05:48,  9.40ex/s]



preprocess datasets #3:  38%|███▊      | 1432/3786 [00:48<01:32, 25.45ex/s]




preprocess datasets #4:  38%|███▊      | 1422/3785 [00:48<01:24, 27.99ex/s]


preprocess datasets #2:  35%|███▍      | 1318/3786 [00:48<01:00, 40.51ex/s]

preprocess datasets #1:  15%|█▌        | 578/3786 [00:48<06:00,  8.90ex/s]
preprocess datasets #0:  13%|█▎        | 510/3786 [00:48<04:40, 11.66ex/s]



preprocess datasets #3:  38%|███▊      | 1435/3786 [00:48<01:35, 24.54ex/s]




preprocess datasets #4:  38%|███▊      | 1425/3785 [00:48<01:32, 25.58ex/s]


preprocess datasets #2:  35%|███▍      | 1323/3786 [00:48<01:01, 39.78ex/s]

preprocess datasets #1:  15%|█▌        | 579/3786 [00:48<06:20,  8.44ex/s]



preprocess datasets #3:  38%|███▊      | 1439/3786 [00:48<01:27, 26.73ex/s]
preprocess datasets #0:  14%|█▎        | 512/3786 [00:48<04:23, 12.41ex/s]




preprocess datasets #4:  38%|███▊      | 1428/3785 [00:48<01:32, 25.35ex/s]

preprocess datasets #1:  15%|█▌        | 580/3786 [00:48<06:11,  8.62ex/s]


preprocess datasets #2:  35%|███▌      | 1328/3786 [00:48<01:09, 35.51ex/s]

preprocess datasets #1:  15%|█▌        | 581/3786 [00:48<06:06,  8.75ex/s]




preprocess datasets #4:  38%|███▊      | 1431/3785 [00:48<01:34, 24.81ex/s]



preprocess datasets #3:  38%|███▊      | 1443/3786 [00:48<01:24, 27.61ex/s]
preprocess datasets #0:  14%|█▎        | 514/3786 [00:48<04:20, 12.54ex/s]


preprocess datasets #2:  35%|███▌      | 1333/3786 [00:48<01:05, 37.60ex/s]



preprocess datasets #3:  38%|███▊      | 1446/3786 [00:48<01:25, 27.52ex/s]




preprocess datasets #4:  38%|███▊      | 1436/3785 [00:48<01:18, 30.04ex/s]
preprocess datasets #0:  14%|█▎        | 516/3786 [00:48<03:57, 13.77ex/s]

preprocess datasets #1:  15%|█▌        | 582/3786 [00:48<06:51,  7.78ex/s]


preprocess datasets #2:  35%|███▌      | 1339/3786 [00:48<00:57, 42.41ex/s]




preprocess datasets #4:  38%|███▊      | 1440/3785 [00:48<01:14, 31.42ex/s]



preprocess datasets #3:  38%|███▊      | 1450/3786 [00:48<01:20, 29.04ex/s]


preprocess datasets #2:  35%|███▌      | 1344/3786 [00:49<00:58, 41.69ex/s]

preprocess datasets #1:  15%|█▌        | 583/3786 [00:49<06:57,  7.67ex/s]
preprocess datasets #0:  14%|█▎        | 518/3786 [00:49<04:15, 12.78ex/s]



preprocess datasets #3:  38%|███▊      | 1454/3786 [00:49<01:13, 31.76ex/s]




preprocess datasets #4:  38%|███▊      | 1444/3785 [00:49<01:10, 32.98ex/s]


preprocess datasets #2:  36%|███▌      | 1349/3786 [00:49<01:03, 38.53ex/s]



preprocess datasets #3:  39%|███▊      | 1458/3786 [00:49<01:12, 32.14ex/s]




preprocess datasets #4:  38%|███▊      | 1448/3785 [00:49<01:10, 33.09ex/s]

preprocess datasets #1:  15%|█▌        | 585/3786 [00:49<05:56,  8.98ex/s]
preprocess datasets #0:  14%|█▎        | 520/3786 [00:49<04:39, 11.68ex/s]




preprocess datasets #4:  38%|███▊      | 1453/3785 [00:49<01:04, 36.24ex/s]


preprocess datasets #2:  36%|███▌      | 1353/3786 [00:49<01:15, 32.36ex/s]



preprocess datasets #3:  39%|███▊      | 1462/3786 [00:49<01:27, 26.52ex/s]

preprocess datasets #1:  16%|█▌        | 587/3786 [00:49<05:51,  9.11ex/s]
preprocess datasets #0:  14%|█▍        | 522/3786 [00:49<04:42, 11.57ex/s]




preprocess datasets #4:  38%|███▊      | 1457/3785 [00:49<01:09, 33.68ex/s]


preprocess datasets #2:  36%|███▌      | 1358/3786 [00:49<01:08, 35.49ex/s]




preprocess datasets #4:  39%|███▊      | 1461/3785 [00:49<01:09, 33.36ex/s]



preprocess datasets #3:  39%|███▊      | 1465/3786 [00:49<01:40, 23.21ex/s]

preprocess datasets #1:  16%|█▌        | 589/3786 [00:49<05:34,  9.56ex/s]
preprocess datasets #0:  14%|█▍        | 524/3786 [00:49<04:45, 11.42ex/s]


preprocess datasets #2:  36%|███▌      | 1362/3786 [00:49<01:21, 29.79ex/s]



preprocess datasets #3:  39%|███▉      | 1468/3786 [00:49<01:35, 24.32ex/s]




preprocess datasets #4:  39%|███▊      | 1465/3785 [00:49<01:10, 33.00ex/s]

preprocess datasets #1:  16%|█▌        | 590/3786 [00:49<05:48,  9.18ex/s]
preprocess datasets #0:  14%|█▍        | 526/3786 [00:49<04:39, 11.66ex/s]



preprocess datasets #3:  39%|███▉      | 1471/3786 [00:49<01:30, 25.61ex/s]




preprocess datasets #4:  39%|███▉      | 1469/3785 [00:49<01:06, 34.75ex/s]


preprocess datasets #2:  36%|███▌      | 1366/3786 [00:49<01:30, 26.71ex/s]




preprocess datasets #4:  39%|███▉      | 1473/3785 [00:49<01:04, 35.89ex/s]

preprocess datasets #1:  16%|█▌        | 592/3786 [00:49<05:35,  9.53ex/s]



preprocess datasets #3:  39%|███▉      | 1475/3786 [00:49<01:31, 25.32ex/s]


preprocess datasets #2:  36%|███▌      | 1370/3786 [00:49<01:24, 28.49ex/s]
preprocess datasets #0:  14%|█▍        | 528/3786 [00:50<04:59, 10.89ex/s]




preprocess datasets #4:  39%|███▉      | 1477/3785 [00:49<01:04, 35.75ex/s]

preprocess datasets #1:  16%|█▌        | 593/3786 [00:50<05:34,  9.54ex/s]



preprocess datasets #3:  39%|███▉      | 1478/3786 [00:50<01:36, 23.86ex/s]




preprocess datasets #4:  39%|███▉      | 1481/3785 [00:50<01:05, 34.98ex/s]


preprocess datasets #2:  36%|███▋      | 1374/3786 [00:50<01:29, 26.91ex/s]
preprocess datasets #0:  14%|█▍        | 530/3786 [00:50<04:43, 11.50ex/s]

preprocess datasets #1:  16%|█▌        | 594/3786 [00:50<05:49,  9.14ex/s]



preprocess datasets #3:  39%|███▉      | 1482/3786 [00:50<01:25, 26.95ex/s]




preprocess datasets #4:  39%|███▉      | 1485/3785 [00:50<01:09, 33.14ex/s]
preprocess datasets #0:  14%|█▍        | 532/3786 [00:50<04:28, 12.11ex/s]


preprocess datasets #2:  36%|███▋      | 1377/3786 [00:50<01:36, 24.93ex/s]

preprocess datasets #1:  16%|█▌        | 595/3786 [00:50<06:04,  8.75ex/s]



preprocess datasets #3:  39%|███▉      | 1486/3786 [00:50<01:25, 27.05ex/s]




preprocess datasets #4:  39%|███▉      | 1490/3785 [00:50<01:06, 34.46ex/s]

preprocess datasets #1:  16%|█▌        | 596/3786 [00:50<05:58,  8.90ex/s]


preprocess datasets #2:  36%|███▋      | 1380/3786 [00:50<01:34, 25.43ex/s]



preprocess datasets #3:  39%|███▉      | 1490/3786 [00:50<01:21, 28.01ex/s]
preprocess datasets #0:  14%|█▍        | 534/3786 [00:50<04:42, 11.53ex/s]


preprocess datasets #2:  37%|███▋      | 1383/3786 [00:50<01:33, 25.83ex/s]

preprocess datasets #1:  16%|█▌        | 597/3786 [00:50<06:09,  8.64ex/s]




preprocess datasets #4:  39%|███▉      | 1494/3785 [00:50<01:10, 32.47ex/s]



preprocess datasets #3:  39%|███▉      | 1494/3786 [00:50<01:18, 29.35ex/s]


preprocess datasets #2:  37%|███▋      | 1386/3786 [00:50<01:34, 25.40ex/s]
preprocess datasets #0:  14%|█▍        | 536/3786 [00:50<04:43, 11.46ex/s]



preprocess datasets #3:  40%|███▉      | 1497/3786 [00:50<01:17, 29.43ex/s]




preprocess datasets #4:  40%|███▉      | 1498/3785 [00:50<01:17, 29.58ex/s]


preprocess datasets #2:  37%|███▋      | 1390/3786 [00:50<01:27, 27.30ex/s]

preprocess datasets #1:  16%|█▌        | 599/3786 [00:50<06:14,  8.51ex/s]




preprocess datasets #4:  40%|███▉      | 1503/3785 [00:50<01:07, 33.79ex/s]
preprocess datasets #0:  14%|█▍        | 538/3786 [00:50<04:38, 11.65ex/s]


preprocess datasets #2:  37%|███▋      | 1394/3786 [00:50<01:20, 29.54ex/s]



preprocess datasets #3:  40%|███▉      | 1500/3786 [00:50<01:34, 24.12ex/s]




preprocess datasets #4:  40%|███▉      | 1507/3785 [00:50<01:05, 34.90ex/s]
preprocess datasets #0:  14%|█▍        | 540/3786 [00:50<04:13, 12.80ex/s]

preprocess datasets #1:  16%|█▌        | 601/3786 [00:51<06:06,  8.69ex/s]



preprocess datasets #3:  40%|███▉      | 1503/3786 [00:50<01:33, 24.43ex/s]


preprocess datasets #2:  37%|███▋      | 1398/3786 [00:51<01:23, 28.59ex/s]




preprocess datasets #4:  40%|███▉      | 1513/3785 [00:51<00:57, 39.28ex/s]
preprocess datasets #0:  14%|█▍        | 542/3786 [00:51<03:56, 13.70ex/s]

preprocess datasets #1:  16%|█▌        | 602/3786 [00:51<06:21,  8.34ex/s]



preprocess datasets #3:  40%|███▉      | 1506/3786 [00:51<01:34, 24.12ex/s]


preprocess datasets #2:  37%|███▋      | 1401/3786 [00:51<01:26, 27.69ex/s]
preprocess datasets #0:  14%|█▍        | 545/3786 [00:51<03:32, 15.22ex/s]




preprocess datasets #4:  40%|████      | 1518/3785 [00:51<01:07, 33.64ex/s]

preprocess datasets #1:  16%|█▌        | 603/3786 [00:51<06:19,  8.40ex/s]



preprocess datasets #3:  40%|███▉      | 1509/3786 [00:51<01:34, 24.12ex/s]


preprocess datasets #2:  37%|███▋      | 1404/3786 [00:51<01:32, 25.85ex/s]
preprocess datasets #0:  14%|█▍        | 547/3786 [00:51<03:19, 16.27ex/s]




preprocess datasets #4:  40%|████      | 1522/3785 [00:51<01:08, 32.83ex/s]



preprocess datasets #3:  40%|███▉      | 1512/3786 [00:51<01:38, 23.12ex/s]


preprocess datasets #2:  37%|███▋      | 1409/3786 [00:51<01:21, 29.32ex/s]

preprocess datasets #1:  16%|█▌        | 605/3786 [00:51<05:44,  9.24ex/s]
preprocess datasets #0:  15%|█▍        | 549/3786 [00:51<03:32, 15.22ex/s]


preprocess datasets #2:  37%|███▋      | 1413/3786 [00:51<01:14, 31.89ex/s]



preprocess datasets #3:  40%|████      | 1515/3786 [00:51<01:33, 24.33ex/s]




preprocess datasets #4:  40%|████      | 1526/3785 [00:51<01:13, 30.92ex/s]



preprocess datasets #3:  40%|████      | 1518/3786 [00:51<01:29, 25.45ex/s]

preprocess datasets #1:  16%|█▌        | 607/3786 [00:51<05:45,  9.20ex/s]




preprocess datasets #4:  40%|████      | 1530/3785 [00:51<01:14, 30.21ex/s]
preprocess datasets #0:  15%|█▍        | 551/3786 [00:51<03:55, 13.76ex/s]


preprocess datasets #2:  37%|███▋      | 1417/3786 [00:51<01:25, 27.79ex/s]



preprocess datasets #3:  40%|████      | 1521/3786 [00:51<01:28, 25.69ex/s]




preprocess datasets #4:  41%|████      | 1534/3785 [00:51<01:15, 29.67ex/s]
preprocess datasets #0:  15%|█▍        | 553/3786 [00:51<03:54, 13.80ex/s]

preprocess datasets #1:  16%|█▌        | 609/3786 [00:51<05:17, 10.01ex/s]


preprocess datasets #2:  38%|███▊      | 1420/3786 [00:51<01:27, 27.08ex/s]



preprocess datasets #3:  40%|████      | 1525/3786 [00:51<01:20, 28.04ex/s]


preprocess datasets #2:  38%|███▊      | 1423/3786 [00:51<01:27, 27.09ex/s]




preprocess datasets #4:  41%|████      | 1538/3785 [00:51<01:20, 28.08ex/s]

preprocess datasets #1:  16%|█▌        | 611/3786 [00:52<05:09, 10.26ex/s]



preprocess datasets #3:  40%|████      | 1530/3786 [00:51<01:17, 29.11ex/s]
preprocess datasets #0:  15%|█▍        | 555/3786 [00:52<04:25, 12.15ex/s]


preprocess datasets #2:  38%|███▊      | 1426/3786 [00:52<01:26, 27.35ex/s]




preprocess datasets #4:  41%|████      | 1542/3785 [00:52<01:20, 27.87ex/s]



preprocess datasets #3:  40%|████      | 1533/3786 [00:52<01:19, 28.51ex/s]


preprocess datasets #2:  38%|███▊      | 1431/3786 [00:52<01:13, 32.07ex/s]
preprocess datasets #0:  15%|█▍        | 557/3786 [00:52<04:14, 12.70ex/s]

preprocess datasets #1:  16%|█▌        | 613/3786 [00:52<05:12, 10.16ex/s]




preprocess datasets #4:  41%|████      | 1545/3785 [00:52<01:22, 27.19ex/s]


preprocess datasets #2:  38%|███▊      | 1435/3786 [00:52<01:13, 32.18ex/s]



preprocess datasets #3:  41%|████      | 1536/3786 [00:52<01:29, 25.12ex/s]
preprocess datasets #0:  15%|█▍        | 559/3786 [00:52<04:09, 12.94ex/s]




preprocess datasets #4:  41%|████      | 1548/3785 [00:52<01:24, 26.44ex/s]


preprocess datasets #2:  38%|███▊      | 1440/3786 [00:52<01:07, 34.55ex/s]



preprocess datasets #3:  41%|████      | 1539/3786 [00:52<01:31, 24.63ex/s]

preprocess datasets #1:  16%|█▌        | 615/3786 [00:52<05:42,  9.25ex/s]




preprocess datasets #4:  41%|████      | 1551/3785 [00:52<01:27, 25.61ex/s]
preprocess datasets #0:  15%|█▍        | 561/3786 [00:52<04:17, 12.53ex/s]


preprocess datasets #2:  38%|███▊      | 1445/3786 [00:52<01:03, 36.79ex/s]



preprocess datasets #3:  41%|████      | 1543/3786 [00:52<01:28, 25.40ex/s]




preprocess datasets #4:  41%|████      | 1555/3785 [00:52<01:25, 26.18ex/s]


preprocess datasets #2:  38%|███▊      | 1449/3786 [00:52<01:02, 37.10ex/s]
preprocess datasets #0:  15%|█▍        | 563/3786 [00:52<04:25, 12.12ex/s]

preprocess datasets #1:  16%|█▋        | 617/3786 [00:52<05:36,  9.42ex/s]



preprocess datasets #3:  41%|████      | 1549/3786 [00:52<01:08, 32.63ex/s]




preprocess datasets #4:  41%|████      | 1558/3785 [00:52<01:27, 25.42ex/s]


preprocess datasets #2:  38%|███▊      | 1455/3786 [00:52<00:58, 39.71ex/s]



preprocess datasets #3:  41%|████      | 1554/3786 [00:52<01:07, 33.16ex/s]

preprocess datasets #1:  16%|█▋        | 618/3786 [00:52<06:22,  8.27ex/s]
preprocess datasets #0:  15%|█▍        | 565/3786 [00:52<04:40, 11.47ex/s]




preprocess datasets #4:  41%|████▏     | 1562/3785 [00:52<01:18, 28.42ex/s]


preprocess datasets #2:  39%|███▊      | 1460/3786 [00:52<00:55, 42.27ex/s]



preprocess datasets #3:  41%|████      | 1558/3786 [00:52<01:10, 31.74ex/s]


preprocess datasets #2:  39%|███▊      | 1466/3786 [00:52<00:51, 45.18ex/s]




preprocess datasets #4:  41%|████▏     | 1565/3785 [00:52<01:22, 27.01ex/s]
preprocess datasets #0:  15%|█▍        | 567/3786 [00:53<04:51, 11.04ex/s]




preprocess datasets #4:  41%|████▏     | 1568/3785 [00:53<01:22, 27.03ex/s]



preprocess datasets #3:  41%|████▏     | 1562/3786 [00:53<01:11, 31.23ex/s]

preprocess datasets #1:  16%|█▋        | 620/3786 [00:53<06:28,  8.14ex/s]


preprocess datasets #2:  39%|███▉      | 1471/3786 [00:53<00:59, 38.88ex/s]
preprocess datasets #0:  15%|█▌        | 569/3786 [00:53<04:33, 11.76ex/s]




preprocess datasets #4:  42%|████▏     | 1573/3785 [00:53<01:09, 31.97ex/s]

preprocess datasets #1:  16%|█▋        | 621/3786 [00:53<06:39,  7.92ex/s]



preprocess datasets #3:  41%|████▏     | 1566/3786 [00:53<01:14, 29.68ex/s]


preprocess datasets #2:  39%|███▉      | 1476/3786 [00:53<00:57, 40.01ex/s]




preprocess datasets #4:  42%|████▏     | 1577/3785 [00:53<01:06, 33.39ex/s]

preprocess datasets #1:  16%|█▋        | 622/3786 [00:53<06:49,  7.72ex/s]
preprocess datasets #0:  15%|█▌        | 571/3786 [00:53<04:54, 10.91ex/s]



preprocess datasets #3:  41%|████▏     | 1570/3786 [00:53<01:20, 27.45ex/s]




preprocess datasets #4:  42%|████▏     | 1581/3785 [00:53<01:05, 33.44ex/s]


preprocess datasets #2:  39%|███▉      | 1481/3786 [00:53<01:07, 34.36ex/s]




preprocess datasets #4:  42%|████▏     | 1585/3785 [00:53<01:02, 35.16ex/s]



preprocess datasets #3:  42%|████▏     | 1573/3786 [00:53<01:22, 26.73ex/s]

preprocess datasets #1:  16%|█▋        | 623/3786 [00:53<07:14,  7.28ex/s]


preprocess datasets #2:  39%|███▉      | 1485/3786 [00:53<01:04, 35.47ex/s]
preprocess datasets #0:  15%|█▌        | 573/3786 [00:53<05:06, 10.47ex/s]



preprocess datasets #3:  42%|████▏     | 1577/3786 [00:53<01:15, 29.36ex/s]




preprocess datasets #4:  42%|████▏     | 1589/3785 [00:53<01:06, 33.23ex/s]


preprocess datasets #2:  39%|███▉      | 1489/3786 [00:53<01:10, 32.42ex/s]

preprocess datasets #1:  17%|█▋        | 625/3786 [00:53<06:07,  8.60ex/s]



preprocess datasets #3:  42%|████▏     | 1582/3786 [00:53<01:10, 31.22ex/s]
preprocess datasets #0:  15%|█▌        | 575/3786 [00:53<05:04, 10.56ex/s]


preprocess datasets #2:  39%|███▉      | 1494/3786 [00:53<01:04, 35.59ex/s]




preprocess datasets #4:  42%|████▏     | 1593/3785 [00:53<01:13, 30.01ex/s]

preprocess datasets #1:  17%|█▋        | 627/3786 [00:53<05:23,  9.75ex/s]




preprocess datasets #4:  42%|████▏     | 1598/3785 [00:53<01:04, 33.83ex/s]


preprocess datasets #2:  40%|███▉      | 1498/3786 [00:53<01:08, 33.51ex/s]



preprocess datasets #3:  42%|████▏     | 1586/3786 [00:53<01:23, 26.37ex/s]

preprocess datasets #1:  17%|█▋        | 628/3786 [00:54<05:43,  9.20ex/s]
preprocess datasets #0:  15%|█▌        | 577/3786 [00:54<05:33,  9.63ex/s]




preprocess datasets #4:  42%|████▏     | 1602/3785 [00:54<01:03, 34.13ex/s]



preprocess datasets #3:  42%|████▏     | 1589/3786 [00:54<01:21, 26.88ex/s]


preprocess datasets #2:  40%|███▉      | 1502/3786 [00:54<01:14, 30.81ex/s]

preprocess datasets #1:  17%|█▋        | 629/3786 [00:54<05:49,  9.03ex/s]
preprocess datasets #0:  15%|█▌        | 579/3786 [00:54<05:14, 10.20ex/s]



preprocess datasets #3:  42%|████▏     | 1592/3786 [00:54<01:24, 25.93ex/s]




preprocess datasets #4:  42%|████▏     | 1606/3785 [00:54<01:15, 28.94ex/s]


preprocess datasets #2:  40%|███▉      | 1506/3786 [00:54<01:20, 28.45ex/s]

preprocess datasets #1:  17%|█▋        | 631/3786 [00:54<05:44,  9.15ex/s]
preprocess datasets #0:  15%|█▌        | 581/3786 [00:54<04:38, 11.49ex/s]




preprocess datasets #4:  43%|████▎     | 1610/3785 [00:54<01:09, 31.20ex/s]



preprocess datasets #3:  42%|████▏     | 1595/3786 [00:54<01:30, 24.23ex/s]


preprocess datasets #2:  40%|███▉      | 1509/3786 [00:54<01:26, 26.19ex/s]
preprocess datasets #0:  15%|█▌        | 583/3786 [00:54<04:04, 13.11ex/s]




preprocess datasets #4:  43%|████▎     | 1615/3785 [00:54<01:02, 34.45ex/s]



preprocess datasets #3:  42%|████▏     | 1598/3786 [00:54<01:31, 24.02ex/s]

preprocess datasets #1:  17%|█▋        | 633/3786 [00:54<05:20,  9.84ex/s]


preprocess datasets #2:  40%|███▉      | 1512/3786 [00:54<01:33, 24.24ex/s]
preprocess datasets #0:  15%|█▌        | 585/3786 [00:54<04:13, 12.62ex/s]



preprocess datasets #3:  42%|████▏     | 1604/3786 [00:54<01:10, 30.79ex/s]




preprocess datasets #4:  43%|████▎     | 1619/3785 [00:54<01:11, 30.20ex/s]


preprocess datasets #2:  40%|████      | 1516/3786 [00:54<01:24, 26.78ex/s]

preprocess datasets #1:  17%|█▋        | 635/3786 [00:54<05:17,  9.91ex/s]



preprocess datasets #3:  42%|████▏     | 1608/3786 [00:54<01:08, 31.57ex/s]
preprocess datasets #0:  16%|█▌        | 587/3786 [00:54<04:08, 12.86ex/s]


preprocess datasets #2:  40%|████      | 1520/3786 [00:54<01:18, 29.00ex/s]




preprocess datasets #4:  43%|████▎     | 1623/3785 [00:54<01:18, 27.61ex/s]



preprocess datasets #3:  43%|████▎     | 1612/3786 [00:54<01:07, 32.03ex/s]

preprocess datasets #1:  17%|█▋        | 637/3786 [00:54<05:15,  9.99ex/s]


preprocess datasets #2:  40%|████      | 1524/3786 [00:54<01:12, 31.37ex/s]




preprocess datasets #4:  43%|████▎     | 1628/3785 [00:54<01:09, 31.09ex/s]
preprocess datasets #0:  16%|█▌        | 589/3786 [00:54<04:18, 12.39ex/s]



preprocess datasets #3:  43%|████▎     | 1617/3786 [00:54<01:00, 35.93ex/s]


preprocess datasets #2:  40%|████      | 1528/3786 [00:55<01:16, 29.69ex/s]

preprocess datasets #1:  17%|█▋        | 638/3786 [00:55<05:53,  8.89ex/s]



preprocess datasets #3:  43%|████▎     | 1621/3786 [00:55<01:02, 34.80ex/s]
preprocess datasets #0:  16%|█▌        | 591/3786 [00:55<04:41, 11.34ex/s]




preprocess datasets #4:  43%|████▎     | 1632/3785 [00:55<01:24, 25.37ex/s]



preprocess datasets #3:  43%|████▎     | 1625/3786 [00:55<01:04, 33.26ex/s]


preprocess datasets #2:  40%|████      | 1532/3786 [00:55<01:24, 26.72ex/s]

preprocess datasets #1:  17%|█▋        | 640/3786 [00:55<05:28,  9.57ex/s]




preprocess datasets #4:  43%|████▎     | 1636/3785 [00:55<01:17, 27.88ex/s]


preprocess datasets #2:  41%|████      | 1535/3786 [00:55<01:22, 27.31ex/s]

preprocess datasets #1:  17%|█▋        | 641/3786 [00:55<05:29,  9.54ex/s]



preprocess datasets #3:  43%|████▎     | 1629/3786 [00:55<01:08, 31.66ex/s]




preprocess datasets #4:  43%|████▎     | 1640/3785 [00:55<01:15, 28.34ex/s]



preprocess datasets #3:  43%|████▎     | 1633/3786 [00:55<01:05, 32.72ex/s]


preprocess datasets #2:  41%|████      | 1538/3786 [00:55<01:26, 25.91ex/s]

preprocess datasets #1:  17%|█▋        | 642/3786 [00:55<05:57,  8.79ex/s]




preprocess datasets #4:  43%|████▎     | 1644/3785 [00:55<01:16, 27.90ex/s]
preprocess datasets #0:  16%|█▌        | 593/3786 [00:55<06:34,  8.09ex/s]


preprocess datasets #2:  41%|████      | 1541/3786 [00:55<01:25, 26.15ex/s]



preprocess datasets #3:  43%|████▎     | 1638/3786 [00:55<01:03, 33.99ex/s]




preprocess datasets #4:  44%|████▎     | 1649/3785 [00:55<01:06, 32.29ex/s]


preprocess datasets #2:  41%|████      | 1544/3786 [00:55<01:23, 26.81ex/s]

preprocess datasets #1:  17%|█▋        | 644/3786 [00:55<05:55,  8.84ex/s]



preprocess datasets #3:  43%|████▎     | 1643/3786 [00:55<00:57, 37.11ex/s]




preprocess datasets #4:  44%|████▎     | 1653/3785 [00:55<01:05, 32.43ex/s]


preprocess datasets #2:  41%|████      | 1547/3786 [00:55<01:23, 26.88ex/s]
preprocess datasets #0:  16%|█▌        | 595/3786 [00:55<06:39,  7.99ex/s]



preprocess datasets #3:  44%|████▎     | 1648/3786 [00:55<00:54, 39.04ex/s]

preprocess datasets #1:  17%|█▋        | 646/3786 [00:55<05:41,  9.20ex/s]


preprocess datasets #2:  41%|████      | 1550/3786 [00:55<01:25, 26.19ex/s]



preprocess datasets #3:  44%|████▎     | 1654/3786 [00:55<00:48, 44.19ex/s]
preprocess datasets #0:  16%|█▌        | 597/3786 [00:55<05:47,  9.19ex/s]




preprocess datasets #4:  44%|████▍     | 1657/3785 [00:55<01:13, 29.03ex/s]


preprocess datasets #2:  41%|████      | 1554/3786 [00:56<01:18, 28.26ex/s]



preprocess datasets #3:  44%|████▍     | 1659/3786 [00:56<00:51, 41.31ex/s]

preprocess datasets #1:  17%|█▋        | 648/3786 [00:56<05:17,  9.87ex/s]
preprocess datasets #0:  16%|█▌        | 599/3786 [00:56<05:18,  9.99ex/s]




preprocess datasets #4:  44%|████▍     | 1663/3785 [00:56<01:07, 31.44ex/s]


preprocess datasets #2:  41%|████      | 1557/3786 [00:56<01:19, 28.14ex/s]




preprocess datasets #4:  44%|████▍     | 1668/3785 [00:56<01:03, 33.55ex/s]



preprocess datasets #3:  44%|████▍     | 1664/3786 [00:56<00:58, 36.42ex/s]
preprocess datasets #0:  16%|█▌        | 601/3786 [00:56<05:05, 10.42ex/s]


preprocess datasets #2:  41%|████▏     | 1562/3786 [00:56<01:14, 29.81ex/s]

preprocess datasets #1:  17%|█▋        | 650/3786 [00:56<05:34,  9.37ex/s]



preprocess datasets #3:  44%|████▍     | 1669/3786 [00:56<00:57, 36.66ex/s]




preprocess datasets #4:  44%|████▍     | 1672/3785 [00:56<01:07, 31.13ex/s]


preprocess datasets #2:  41%|████▏     | 1565/3786 [00:56<01:16, 29.19ex/s]

preprocess datasets #1:  17%|█▋        | 652/3786 [00:56<05:05, 10.27ex/s]
preprocess datasets #0:  16%|█▌        | 603/3786 [00:56<05:15, 10.10ex/s]



preprocess datasets #3:  44%|████▍     | 1675/3786 [00:56<00:51, 40.67ex/s]


preprocess datasets #2:  41%|████▏     | 1568/3786 [00:56<01:22, 26.87ex/s]




preprocess datasets #4:  44%|████▍     | 1676/3785 [00:56<01:11, 29.68ex/s]



preprocess datasets #3:  44%|████▍     | 1680/3786 [00:56<00:49, 42.55ex/s]

preprocess datasets #1:  17%|█▋        | 654/3786 [00:56<04:36, 11.32ex/s]
preprocess datasets #0:  16%|█▌        | 605/3786 [00:56<04:47, 11.07ex/s]


preprocess datasets #2:  41%|████▏     | 1571/3786 [00:56<01:20, 27.41ex/s]




preprocess datasets #4:  44%|████▍     | 1680/3785 [00:56<01:12, 29.13ex/s]


preprocess datasets #2:  42%|████▏     | 1575/3786 [00:56<01:14, 29.62ex/s]

preprocess datasets #1:  17%|█▋        | 656/3786 [00:56<04:24, 11.82ex/s]



preprocess datasets #3:  45%|████▍     | 1685/3786 [00:56<00:56, 37.12ex/s]
preprocess datasets #0:  16%|█▌        | 607/3786 [00:56<04:31, 11.72ex/s]




preprocess datasets #4:  44%|████▍     | 1683/3785 [00:56<01:16, 27.47ex/s]


preprocess datasets #2:  42%|████▏     | 1579/3786 [00:56<01:13, 29.89ex/s]



preprocess datasets #3:  45%|████▍     | 1691/3786 [00:56<00:55, 38.06ex/s]
preprocess datasets #0:  16%|█▌        | 609/3786 [00:56<04:27, 11.89ex/s]




preprocess datasets #4:  45%|████▍     | 1686/3785 [00:56<01:18, 26.67ex/s]


preprocess datasets #2:  42%|████▏     | 1582/3786 [00:57<01:16, 28.95ex/s]




preprocess datasets #4:  45%|████▍     | 1690/3785 [00:57<01:13, 28.38ex/s]

preprocess datasets #1:  17%|█▋        | 658/3786 [00:57<05:37,  9.27ex/s]



preprocess datasets #3:  45%|████▍     | 1695/3786 [00:57<01:03, 33.03ex/s]
preprocess datasets #0:  16%|█▌        | 611/3786 [00:57<04:25, 11.98ex/s]


preprocess datasets #2:  42%|████▏     | 1585/3786 [00:57<01:19, 27.68ex/s]




preprocess datasets #4:  45%|████▍     | 1693/3785 [00:57<01:12, 28.76ex/s]
preprocess datasets #0:  16%|█▌        | 613/3786 [00:57<04:11, 12.61ex/s]


preprocess datasets #2:  42%|████▏     | 1588/3786 [00:57<01:22, 26.66ex/s]




preprocess datasets #4:  45%|████▍     | 1697/3785 [00:57<01:06, 31.47ex/s]



preprocess datasets #3:  45%|████▍     | 1699/3786 [00:57<01:09, 29.90ex/s]


preprocess datasets #2:  42%|████▏     | 1591/3786 [00:57<01:26, 25.42ex/s]



preprocess datasets #3:  45%|████▍     | 1703/3786 [00:57<01:08, 30.21ex/s]




preprocess datasets #4:  45%|████▍     | 1701/3785 [00:57<01:08, 30.49ex/s]

preprocess datasets #1:  17%|█▋        | 660/3786 [00:57<06:31,  7.98ex/s]
preprocess datasets #0:  16%|█▌        | 615/3786 [00:57<04:41, 11.26ex/s]


preprocess datasets #2:  42%|████▏     | 1595/3786 [00:57<01:16, 28.73ex/s]



preprocess datasets #3:  45%|████▌     | 1708/3786 [00:57<01:08, 30.53ex/s]




preprocess datasets #4:  45%|████▌     | 1705/3785 [00:57<01:12, 28.78ex/s]
preprocess datasets #0:  16%|█▋        | 617/3786 [00:57<04:08, 12.75ex/s]


preprocess datasets #2:  42%|████▏     | 1599/3786 [00:57<01:11, 30.55ex/s]

preprocess datasets #1:  17%|█▋        | 662/3786 [00:57<06:13,  8.36ex/s]




preprocess datasets #4:  45%|████▌     | 1709/3785 [00:57<01:07, 30.70ex/s]
preprocess datasets #0:  16%|█▋        | 619/3786 [00:57<03:50, 13.74ex/s]



preprocess datasets #3:  45%|████▌     | 1712/3786 [00:57<01:14, 27.86ex/s]


preprocess datasets #2:  42%|████▏     | 1603/3786 [00:57<01:20, 27.17ex/s]




preprocess datasets #4:  45%|████▌     | 1714/3785 [00:57<01:00, 34.29ex/s]

preprocess datasets #1:  18%|█▊        | 664/3786 [00:57<05:49,  8.94ex/s]
preprocess datasets #0:  16%|█▋        | 621/3786 [00:57<03:45, 14.04ex/s]



preprocess datasets #3:  45%|████▌     | 1715/3786 [00:57<01:18, 26.34ex/s]


preprocess datasets #2:  42%|████▏     | 1606/3786 [00:57<01:22, 26.38ex/s]




preprocess datasets #4:  45%|████▌     | 1718/3785 [00:57<01:01, 33.39ex/s]
preprocess datasets #0:  16%|█▋        | 623/3786 [00:58<03:34, 14.74ex/s]

preprocess datasets #1:  18%|█▊        | 665/3786 [00:57<06:07,  8.50ex/s]



preprocess datasets #3:  45%|████▌     | 1718/3786 [00:58<01:23, 24.65ex/s]




preprocess datasets #4:  45%|████▌     | 1722/3785 [00:58<01:00, 34.27ex/s]


preprocess datasets #2:  42%|████▏     | 1609/3786 [00:58<01:27, 24.99ex/s]
preprocess datasets #0:  17%|█▋        | 625/3786 [00:58<03:27, 15.20ex/s]

preprocess datasets #1:  18%|█▊        | 666/3786 [00:58<06:15,  8.30ex/s]



preprocess datasets #3:  45%|████▌     | 1721/3786 [00:58<01:20, 25.58ex/s]


preprocess datasets #2:  43%|████▎     | 1612/3786 [00:58<01:24, 25.72ex/s]




preprocess datasets #4:  46%|████▌     | 1726/3785 [00:58<01:02, 33.10ex/s]



preprocess datasets #3:  46%|████▌     | 1726/3786 [00:58<01:08, 30.01ex/s]

preprocess datasets #1:  18%|█▊        | 668/3786 [00:58<05:39,  9.18ex/s]
preprocess datasets #0:  17%|█▋        | 627/3786 [00:58<04:00, 13.15ex/s]


preprocess datasets #2:  43%|████▎     | 1615/3786 [00:58<01:29, 24.26ex/s]



preprocess datasets #3:  46%|████▌     | 1730/3786 [00:58<01:04, 32.00ex/s]




preprocess datasets #4:  46%|████▌     | 1730/3785 [00:58<01:13, 28.07ex/s]


preprocess datasets #2:  43%|████▎     | 1618/3786 [00:58<01:28, 24.58ex/s]
preprocess datasets #0:  17%|█▋        | 629/3786 [00:58<04:04, 12.94ex/s]




preprocess datasets #4:  46%|████▌     | 1733/3785 [00:58<01:12, 28.12ex/s]



preprocess datasets #3:  46%|████▌     | 1734/3786 [00:58<01:04, 31.94ex/s]


preprocess datasets #2:  43%|████▎     | 1622/3786 [00:58<01:17, 27.93ex/s]

preprocess datasets #1:  18%|█▊        | 670/3786 [00:58<06:06,  8.51ex/s]



preprocess datasets #3:  46%|████▌     | 1738/3786 [00:58<01:05, 31.24ex/s]




preprocess datasets #4:  46%|████▌     | 1736/3785 [00:58<01:21, 25.21ex/s]


preprocess datasets #2:  43%|████▎     | 1627/3786 [00:58<01:06, 32.42ex/s]
preprocess datasets #0:  17%|█▋        | 631/3786 [00:58<04:32, 11.60ex/s]

preprocess datasets #1:  18%|█▊        | 671/3786 [00:58<06:16,  8.28ex/s]




preprocess datasets #4:  46%|████▌     | 1740/3785 [00:58<01:15, 27.18ex/s]


preprocess datasets #2:  43%|████▎     | 1631/3786 [00:58<01:05, 33.09ex/s]



preprocess datasets #3:  46%|████▌     | 1742/3786 [00:58<01:08, 29.99ex/s]
preprocess datasets #0:  17%|█▋        | 633/3786 [00:58<04:13, 12.46ex/s]

preprocess datasets #1:  18%|█▊        | 672/3786 [00:58<06:26,  8.05ex/s]




preprocess datasets #4:  46%|████▌     | 1744/3785 [00:58<01:10, 28.89ex/s]



preprocess datasets #3:  46%|████▌     | 1748/3786 [00:58<00:55, 36.52ex/s]
preprocess datasets #0:  17%|█▋        | 635/3786 [00:58<03:49, 13.76ex/s]


preprocess datasets #2:  43%|████▎     | 1635/3786 [00:58<01:10, 30.50ex/s]




preprocess datasets #4:  46%|████▌     | 1749/3785 [00:58<01:02, 32.74ex/s]



preprocess datasets #3:  46%|████▋     | 1753/3786 [00:58<00:55, 36.37ex/s]


preprocess datasets #2:  43%|████▎     | 1640/3786 [00:59<01:01, 35.13ex/s]

preprocess datasets #1:  18%|█▊        | 674/3786 [00:59<05:55,  8.75ex/s]




preprocess datasets #4:  46%|████▋     | 1753/3785 [00:59<01:04, 31.55ex/s]

preprocess datasets #1:  18%|█▊        | 675/3786 [00:59<05:54,  8.77ex/s]



preprocess datasets #3:  46%|████▋     | 1757/3786 [00:59<01:01, 33.24ex/s]


preprocess datasets #2:  43%|████▎     | 1644/3786 [00:59<01:07, 31.95ex/s]
preprocess datasets #0:  17%|█▋        | 637/3786 [00:59<04:56, 10.62ex/s]




preprocess datasets #4:  46%|████▋     | 1757/3785 [00:59<01:03, 32.02ex/s]



preprocess datasets #3:  47%|████▋     | 1761/3786 [00:59<01:02, 32.48ex/s]


preprocess datasets #2:  44%|████▎     | 1648/3786 [00:59<01:07, 31.45ex/s]

preprocess datasets #1:  18%|█▊        | 677/3786 [00:59<05:38,  9.19ex/s]
preprocess datasets #0:  17%|█▋        | 639/3786 [00:59<04:52, 10.76ex/s]




preprocess datasets #4:  47%|████▋     | 1761/3785 [00:59<01:08, 29.59ex/s]


preprocess datasets #2:  44%|████▎     | 1652/3786 [00:59<01:10, 30.47ex/s]



preprocess datasets #3:  47%|████▋     | 1765/3786 [00:59<01:09, 28.94ex/s]




preprocess datasets #4:  47%|████▋     | 1766/3785 [00:59<01:01, 32.90ex/s]

preprocess datasets #1:  18%|█▊        | 679/3786 [00:59<05:25,  9.56ex/s]
preprocess datasets #0:  17%|█▋        | 643/3786 [00:59<03:36, 14.49ex/s]



preprocess datasets #3:  47%|████▋     | 1768/3786 [00:59<01:11, 28.20ex/s]


preprocess datasets #2:  44%|████▎     | 1656/3786 [00:59<01:11, 29.87ex/s]

preprocess datasets #1:  18%|█▊        | 680/3786 [00:59<05:22,  9.62ex/s]




preprocess datasets #4:  47%|████▋     | 1770/3785 [00:59<00:59, 33.59ex/s]



preprocess datasets #3:  47%|████▋     | 1772/3786 [00:59<01:06, 30.38ex/s]
preprocess datasets #0:  17%|█▋        | 645/3786 [00:59<03:49, 13.67ex/s]

preprocess datasets #1:  18%|█▊        | 681/3786 [00:59<05:30,  9.40ex/s]




preprocess datasets #4:  47%|████▋     | 1775/3785 [00:59<00:55, 36.49ex/s]


preprocess datasets #2:  44%|████▍     | 1660/3786 [00:59<01:17, 27.50ex/s]
preprocess datasets #0:  17%|█▋        | 647/3786 [00:59<03:36, 14.50ex/s]



preprocess datasets #3:  47%|████▋     | 1776/3786 [00:59<01:06, 30.16ex/s]

preprocess datasets #1:  18%|█▊        | 682/3786 [00:59<05:45,  8.98ex/s]




preprocess datasets #4:  47%|████▋     | 1780/3785 [00:59<00:52, 37.89ex/s]


preprocess datasets #2:  44%|████▍     | 1664/3786 [00:59<01:14, 28.37ex/s]

preprocess datasets #1:  18%|█▊        | 683/3786 [01:00<05:46,  8.95ex/s]
preprocess datasets #0:  17%|█▋        | 649/3786 [01:00<03:52, 13.51ex/s]




preprocess datasets #4:  47%|████▋     | 1784/3785 [01:00<00:58, 34.26ex/s]


preprocess datasets #2:  44%|████▍     | 1667/3786 [01:00<01:18, 26.99ex/s]



preprocess datasets #3:  47%|████▋     | 1780/3786 [01:00<01:21, 24.52ex/s]
preprocess datasets #0:  17%|█▋        | 652/3786 [01:00<03:25, 15.23ex/s]


preprocess datasets #2:  44%|████▍     | 1671/3786 [01:00<01:17, 27.41ex/s]




preprocess datasets #4:  47%|████▋     | 1789/3785 [01:00<00:57, 34.60ex/s]

preprocess datasets #1:  18%|█▊        | 685/3786 [01:00<05:15,  9.83ex/s]



preprocess datasets #3:  47%|████▋     | 1784/3786 [01:00<01:14, 26.77ex/s]


preprocess datasets #2:  44%|████▍     | 1675/3786 [01:00<01:14, 28.25ex/s]



preprocess datasets #3:  47%|████▋     | 1787/3786 [01:00<01:18, 25.58ex/s]

preprocess datasets #1:  18%|█▊        | 687/3786 [01:00<05:04, 10.17ex/s]




preprocess datasets #4:  47%|████▋     | 1793/3785 [01:00<01:07, 29.39ex/s]


preprocess datasets #2:  44%|████▍     | 1679/3786 [01:00<01:13, 28.56ex/s]



preprocess datasets #3:  47%|████▋     | 1790/3786 [01:00<01:18, 25.44ex/s]




preprocess datasets #4:  47%|████▋     | 1797/3785 [01:00<01:04, 31.05ex/s]

preprocess datasets #1:  18%|█▊        | 689/3786 [01:00<04:47, 10.79ex/s]
preprocess datasets #0:  17%|█▋        | 654/3786 [01:00<05:03, 10.33ex/s]


preprocess datasets #2:  44%|████▍     | 1682/3786 [01:00<01:14, 28.24ex/s]



preprocess datasets #3:  47%|████▋     | 1793/3786 [01:00<01:20, 24.76ex/s]




preprocess datasets #4:  48%|████▊     | 1801/3785 [01:00<01:06, 30.05ex/s]


preprocess datasets #2:  45%|████▍     | 1685/3786 [01:00<01:14, 28.39ex/s]



preprocess datasets #3:  47%|████▋     | 1797/3786 [01:00<01:16, 26.00ex/s]

preprocess datasets #1:  18%|█▊        | 691/3786 [01:00<04:55, 10.47ex/s]
preprocess datasets #0:  17%|█▋        | 656/3786 [01:00<05:05, 10.24ex/s]




preprocess datasets #4:  48%|████▊     | 1805/3785 [01:00<01:06, 29.83ex/s]


preprocess datasets #2:  45%|████▍     | 1688/3786 [01:00<01:22, 25.40ex/s]



preprocess datasets #3:  48%|████▊     | 1800/3786 [01:00<01:21, 24.32ex/s]

preprocess datasets #1:  18%|█▊        | 693/3786 [01:00<04:41, 10.98ex/s]




preprocess datasets #4:  48%|████▊     | 1809/3785 [01:00<01:09, 28.47ex/s]
preprocess datasets #0:  17%|█▋        | 658/3786 [01:00<05:03, 10.32ex/s]


preprocess datasets #2:  45%|████▍     | 1691/3786 [01:00<01:28, 23.55ex/s]



preprocess datasets #3:  48%|████▊     | 1804/3786 [01:00<01:15, 26.10ex/s]




preprocess datasets #4:  48%|████▊     | 1813/3785 [01:00<01:04, 30.64ex/s]

preprocess datasets #1:  18%|█▊        | 695/3786 [01:01<04:28, 11.49ex/s]


preprocess datasets #2:  45%|████▍     | 1695/3786 [01:01<01:17, 26.96ex/s]



preprocess datasets #3:  48%|████▊     | 1807/3786 [01:01<01:15, 26.20ex/s]
preprocess datasets #0:  17%|█▋        | 660/3786 [01:01<05:03, 10.31ex/s]


preprocess datasets #2:  45%|████▍     | 1699/3786 [01:01<01:11, 29.21ex/s]




preprocess datasets #4:  48%|████▊     | 1817/3785 [01:01<01:11, 27.61ex/s]



preprocess datasets #3:  48%|████▊     | 1813/3786 [01:01<00:57, 34.47ex/s]

preprocess datasets #1:  18%|█▊        | 697/3786 [01:01<04:59, 10.33ex/s]
preprocess datasets #0:  17%|█▋        | 662/3786 [01:01<05:01, 10.37ex/s]




preprocess datasets #4:  48%|████▊     | 1821/3785 [01:01<01:07, 29.29ex/s]


preprocess datasets #2:  45%|████▍     | 1703/3786 [01:01<01:16, 27.37ex/s]



preprocess datasets #3:  48%|████▊     | 1818/3786 [01:01<00:59, 33.22ex/s]
preprocess datasets #0:  18%|█▊        | 664/3786 [01:01<04:23, 11.86ex/s]


preprocess datasets #2:  45%|████▌     | 1706/3786 [01:01<01:14, 27.96ex/s]

preprocess datasets #1:  18%|█▊        | 699/3786 [01:01<04:53, 10.52ex/s]




preprocess datasets #4:  48%|████▊     | 1825/3785 [01:01<01:09, 28.18ex/s]



preprocess datasets #3:  48%|████▊     | 1822/3786 [01:01<01:02, 31.34ex/s]
preprocess datasets #0:  18%|█▊        | 666/3786 [01:01<04:12, 12.35ex/s]


preprocess datasets #2:  45%|████▌     | 1709/3786 [01:01<01:18, 26.53ex/s]




preprocess datasets #4:  48%|████▊     | 1828/3785 [01:01<01:10, 27.83ex/s]



preprocess datasets #3:  48%|████▊     | 1826/3786 [01:01<01:01, 31.79ex/s]

preprocess datasets #1:  19%|█▊        | 701/3786 [01:01<04:48, 10.68ex/s]




preprocess datasets #4:  48%|████▊     | 1831/3785 [01:01<01:12, 26.89ex/s]


preprocess datasets #2:  45%|████▌     | 1713/3786 [01:01<01:17, 26.91ex/s]
preprocess datasets #0:  18%|█▊        | 668/3786 [01:01<04:21, 11.90ex/s]



preprocess datasets #3:  48%|████▊     | 1830/3786 [01:01<01:06, 29.38ex/s]

preprocess datasets #1:  19%|█▊        | 703/3786 [01:01<04:31, 11.35ex/s]


preprocess datasets #2:  45%|████▌     | 1716/3786 [01:01<01:18, 26.49ex/s]




preprocess datasets #4:  48%|████▊     | 1834/3785 [01:01<01:17, 25.23ex/s]
preprocess datasets #0:  18%|█▊        | 670/3786 [01:01<03:52, 13.40ex/s]



preprocess datasets #3:  48%|████▊     | 1834/3786 [01:01<01:08, 28.48ex/s]




preprocess datasets #4:  49%|████▊     | 1839/3785 [01:01<01:03, 30.68ex/s]

preprocess datasets #1:  19%|█▊        | 705/3786 [01:01<04:25, 11.62ex/s]


preprocess datasets #2:  45%|████▌     | 1719/3786 [01:01<01:21, 25.38ex/s]
preprocess datasets #0:  18%|█▊        | 672/3786 [01:02<03:40, 14.11ex/s]



preprocess datasets #3:  49%|████▊     | 1838/3786 [01:02<01:04, 30.42ex/s]




preprocess datasets #4:  49%|████▊     | 1843/3785 [01:02<01:00, 32.27ex/s]


preprocess datasets #2:  45%|████▌     | 1722/3786 [01:02<01:19, 25.97ex/s]

preprocess datasets #1:  19%|█▊        | 707/3786 [01:02<04:37, 11.11ex/s]
preprocess datasets #0:  18%|█▊        | 674/3786 [01:02<04:11, 12.38ex/s]


preprocess datasets #2:  46%|████▌     | 1727/3786 [01:02<01:06, 30.97ex/s]



preprocess datasets #3:  49%|████▊     | 1842/3786 [01:02<01:04, 29.97ex/s]




preprocess datasets #4:  49%|████▉     | 1847/3785 [01:02<01:04, 30.18ex/s]


preprocess datasets #2:  46%|████▌     | 1731/3786 [01:02<01:01, 33.28ex/s]

preprocess datasets #1:  19%|█▊        | 709/3786 [01:02<04:26, 11.57ex/s]
preprocess datasets #0:  18%|█▊        | 676/3786 [01:02<04:07, 12.57ex/s]




preprocess datasets #4:  49%|████▉     | 1851/3785 [01:02<01:07, 28.56ex/s]


preprocess datasets #2:  46%|████▌     | 1737/3786 [01:02<00:50, 40.20ex/s]



preprocess datasets #3:  49%|████▉     | 1846/3786 [01:02<01:15, 25.68ex/s]

preprocess datasets #1:  19%|█▉        | 711/3786 [01:02<04:12, 12.17ex/s]




preprocess datasets #4:  49%|████▉     | 1854/3785 [01:02<01:09, 27.78ex/s]


preprocess datasets #2:  46%|████▌     | 1742/3786 [01:02<00:47, 42.93ex/s]



preprocess datasets #3:  49%|████▉     | 1849/3786 [01:02<01:13, 26.30ex/s]
preprocess datasets #0:  18%|█▊        | 678/3786 [01:02<04:32, 11.40ex/s]




preprocess datasets #4:  49%|████▉     | 1859/3785 [01:02<01:01, 31.54ex/s]


preprocess datasets #2:  46%|████▌     | 1747/3786 [01:02<00:48, 42.41ex/s]



preprocess datasets #3:  49%|████▉     | 1852/3786 [01:02<01:14, 25.86ex/s]

preprocess datasets #1:  19%|█▉        | 713/3786 [01:02<04:31, 11.32ex/s]
preprocess datasets #0:  18%|█▊        | 680/3786 [01:02<04:22, 11.84ex/s]




preprocess datasets #4:  49%|████▉     | 1863/3785 [01:02<01:00, 31.72ex/s]


preprocess datasets #2:  46%|████▋     | 1752/3786 [01:02<00:52, 38.61ex/s]



preprocess datasets #3:  49%|████▉     | 1856/3786 [01:02<01:12, 26.52ex/s]

preprocess datasets #1:  19%|█▉        | 715/3786 [01:02<04:32, 11.27ex/s]




preprocess datasets #4:  49%|████▉     | 1868/3785 [01:02<00:57, 33.52ex/s]
preprocess datasets #0:  18%|█▊        | 682/3786 [01:02<04:34, 11.30ex/s]



preprocess datasets #3:  49%|████▉     | 1859/3786 [01:02<01:19, 24.12ex/s]


preprocess datasets #2:  46%|████▋     | 1756/3786 [01:02<01:02, 32.26ex/s]




preprocess datasets #4:  49%|████▉     | 1872/3785 [01:03<01:04, 29.50ex/s]

preprocess datasets #1:  19%|█▉        | 717/3786 [01:03<04:50, 10.57ex/s]



preprocess datasets #3:  49%|████▉     | 1863/3786 [01:03<01:13, 25.99ex/s]


preprocess datasets #2:  46%|████▋     | 1760/3786 [01:03<01:02, 32.40ex/s]
preprocess datasets #0:  18%|█▊        | 684/3786 [01:03<04:43, 10.96ex/s]



preprocess datasets #3:  49%|████▉     | 1870/3786 [01:03<00:53, 35.80ex/s]




preprocess datasets #4:  50%|████▉     | 1876/3785 [01:03<01:07, 28.39ex/s]


preprocess datasets #2:  47%|████▋     | 1764/3786 [01:03<01:01, 32.62ex/s]

preprocess datasets #1:  19%|█▉        | 719/3786 [01:03<04:27, 11.46ex/s]
preprocess datasets #0:  18%|█▊        | 686/3786 [01:03<04:43, 10.93ex/s]



preprocess datasets #3:  50%|████▉     | 1876/3786 [01:03<00:47, 40.28ex/s]


preprocess datasets #2:  47%|████▋     | 1768/3786 [01:03<00:59, 33.90ex/s]

preprocess datasets #1:  19%|█▉        | 721/3786 [01:03<04:03, 12.60ex/s]




preprocess datasets #4:  50%|████▉     | 1882/3785 [01:03<00:57, 33.05ex/s]



preprocess datasets #3:  50%|████▉     | 1881/3786 [01:03<00:46, 41.19ex/s]


preprocess datasets #2:  47%|████▋     | 1772/3786 [01:03<00:57, 35.24ex/s]
preprocess datasets #0:  18%|█▊        | 689/3786 [01:03<04:01, 12.85ex/s]




preprocess datasets #4:  50%|████▉     | 1887/3785 [01:03<00:54, 34.74ex/s]

preprocess datasets #1:  19%|█▉        | 723/3786 [01:03<04:14, 12.04ex/s]


preprocess datasets #2:  47%|████▋     | 1776/3786 [01:03<01:01, 32.42ex/s]




preprocess datasets #4:  50%|████▉     | 1892/3785 [01:03<00:51, 36.61ex/s]



preprocess datasets #3:  50%|████▉     | 1886/3786 [01:03<00:53, 35.62ex/s]
preprocess datasets #0:  18%|█▊        | 691/3786 [01:03<04:14, 12.15ex/s]

preprocess datasets #1:  19%|█▉        | 725/3786 [01:03<04:01, 12.67ex/s]




preprocess datasets #4:  50%|█████     | 1896/3785 [01:03<00:52, 35.66ex/s]


preprocess datasets #2:  47%|████▋     | 1780/3786 [01:03<01:05, 30.84ex/s]



preprocess datasets #3:  50%|████▉     | 1890/3786 [01:03<00:58, 32.27ex/s]

preprocess datasets #1:  19%|█▉        | 727/3786 [01:03<03:43, 13.68ex/s]
preprocess datasets #0:  18%|█▊        | 693/3786 [01:03<04:06, 12.54ex/s]




preprocess datasets #4:  50%|█████     | 1900/3785 [01:03<00:55, 33.78ex/s]


preprocess datasets #2:  47%|████▋     | 1784/3786 [01:03<01:09, 28.89ex/s]



preprocess datasets #3:  50%|█████     | 1894/3786 [01:03<00:58, 32.34ex/s]

preprocess datasets #1:  19%|█▉        | 729/3786 [01:03<03:58, 12.84ex/s]
preprocess datasets #0:  18%|█▊        | 695/3786 [01:03<04:16, 12.04ex/s]




preprocess datasets #4:  50%|█████     | 1904/3785 [01:03<01:00, 31.20ex/s]


preprocess datasets #2:  47%|████▋     | 1787/3786 [01:04<01:18, 25.57ex/s]



preprocess datasets #3:  50%|█████     | 1898/3786 [01:04<01:05, 28.72ex/s]

preprocess datasets #1:  19%|█▉        | 731/3786 [01:04<03:44, 13.62ex/s]
preprocess datasets #0:  18%|█▊        | 697/3786 [01:04<04:08, 12.44ex/s]


preprocess datasets #2:  47%|████▋     | 1790/3786 [01:04<01:19, 25.26ex/s]




preprocess datasets #4:  50%|█████     | 1908/3785 [01:04<01:03, 29.47ex/s]



preprocess datasets #3:  50%|█████     | 1902/3786 [01:04<01:07, 28.06ex/s]

preprocess datasets #1:  19%|█▉        | 733/3786 [01:04<03:47, 13.41ex/s]




preprocess datasets #4:  51%|█████     | 1912/3785 [01:04<01:01, 30.44ex/s]
preprocess datasets #0:  18%|█▊        | 699/3786 [01:04<04:03, 12.66ex/s]


preprocess datasets #2:  47%|████▋     | 1793/3786 [01:04<01:22, 24.18ex/s]



preprocess datasets #3:  50%|█████     | 1905/3786 [01:04<01:12, 26.07ex/s]

preprocess datasets #1:  19%|█▉        | 735/3786 [01:04<03:56, 12.90ex/s]
preprocess datasets #0:  19%|█▊        | 701/3786 [01:04<03:49, 13.42ex/s]


preprocess datasets #2:  47%|████▋     | 1798/3786 [01:04<01:15, 26.41ex/s]



preprocess datasets #3:  50%|█████     | 1908/3786 [01:04<01:14, 25.35ex/s]




preprocess datasets #4:  51%|█████     | 1916/3785 [01:04<01:17, 24.21ex/s]

preprocess datasets #1:  19%|█▉        | 737/3786 [01:04<03:51, 13.20ex/s]


preprocess datasets #2:  48%|████▊     | 1802/3786 [01:04<01:09, 28.48ex/s]



preprocess datasets #3:  50%|█████     | 1911/3786 [01:04<01:13, 25.65ex/s]
preprocess datasets #0:  19%|█▊        | 703/3786 [01:04<04:11, 12.24ex/s]




preprocess datasets #4:  51%|█████     | 1920/3785 [01:04<01:10, 26.38ex/s]

preprocess datasets #1:  20%|█▉        | 739/3786 [01:04<03:39, 13.91ex/s]


preprocess datasets #2:  48%|████▊     | 1807/3786 [01:04<01:01, 32.22ex/s]



preprocess datasets #3:  51%|█████     | 1914/3786 [01:04<01:15, 24.85ex/s]




preprocess datasets #4:  51%|█████     | 1923/3785 [01:04<01:10, 26.49ex/s]
preprocess datasets #0:  19%|█▊        | 705/3786 [01:04<04:15, 12.08ex/s]



preprocess datasets #3:  51%|█████     | 1917/3786 [01:04<01:13, 25.43ex/s]

preprocess datasets #1:  20%|█▉        | 741/3786 [01:04<03:48, 13.32ex/s]




preprocess datasets #4:  51%|█████     | 1927/3785 [01:04<01:04, 28.64ex/s]


preprocess datasets #2:  48%|████▊     | 1811/3786 [01:04<01:10, 28.09ex/s]



preprocess datasets #3:  51%|█████     | 1920/3786 [01:04<01:12, 25.79ex/s]
preprocess datasets #0:  19%|█▊        | 707/3786 [01:04<04:15, 12.04ex/s]


preprocess datasets #2:  48%|████▊     | 1815/3786 [01:04<01:04, 30.58ex/s]

preprocess datasets #1:  20%|█▉        | 743/3786 [01:04<03:51, 13.17ex/s]




preprocess datasets #4:  51%|█████     | 1931/3785 [01:04<01:04, 28.57ex/s]



preprocess datasets #3:  51%|█████     | 1923/3786 [01:05<01:10, 26.32ex/s]




preprocess datasets #4:  51%|█████     | 1935/3785 [01:05<01:00, 30.65ex/s]
preprocess datasets #0:  19%|█▊        | 709/3786 [01:05<04:28, 11.44ex/s]


preprocess datasets #2:  48%|████▊     | 1819/3786 [01:05<01:10, 28.10ex/s]

preprocess datasets #1:  20%|█▉        | 745/3786 [01:05<03:55, 12.93ex/s]



preprocess datasets #3:  51%|█████     | 1926/3786 [01:05<01:10, 26.46ex/s]
preprocess datasets #0:  19%|█▉        | 711/3786 [01:05<03:58, 12.88ex/s]


preprocess datasets #2:  48%|████▊     | 1823/3786 [01:05<01:06, 29.46ex/s]



preprocess datasets #3:  51%|█████     | 1930/3786 [01:05<01:03, 29.02ex/s]




preprocess datasets #4:  51%|█████     | 1939/3785 [01:05<01:05, 28.35ex/s]

preprocess datasets #1:  20%|█▉        | 747/3786 [01:05<04:10, 12.11ex/s]



preprocess datasets #3:  51%|█████     | 1935/3786 [01:05<00:53, 34.50ex/s]


preprocess datasets #2:  48%|████▊     | 1827/3786 [01:05<01:08, 28.64ex/s]
preprocess datasets #0:  19%|█▉        | 713/3786 [01:05<04:05, 12.53ex/s]




preprocess datasets #4:  51%|█████▏    | 1942/3785 [01:05<01:10, 26.11ex/s]

preprocess datasets #1:  20%|█▉        | 749/3786 [01:05<03:57, 12.80ex/s]



preprocess datasets #3:  51%|█████     | 1940/3786 [01:05<00:47, 38.54ex/s]


preprocess datasets #2:  48%|████▊     | 1831/3786 [01:05<01:04, 30.28ex/s]
preprocess datasets #0:  19%|█▉        | 715/3786 [01:05<04:01, 12.73ex/s]




preprocess datasets #4:  51%|█████▏    | 1945/3785 [01:05<01:15, 24.32ex/s]



preprocess datasets #3:  51%|█████▏    | 1944/3786 [01:05<00:56, 32.77ex/s]

preprocess datasets #1:  20%|█▉        | 751/3786 [01:05<04:13, 11.99ex/s]




preprocess datasets #4:  51%|█████▏    | 1948/3785 [01:05<01:12, 25.28ex/s]


preprocess datasets #2:  48%|████▊     | 1836/3786 [01:05<01:03, 30.85ex/s]
preprocess datasets #0:  19%|█▉        | 718/3786 [01:05<03:38, 14.02ex/s]




preprocess datasets #4:  52%|█████▏    | 1951/3785 [01:05<01:11, 25.63ex/s]



preprocess datasets #3:  51%|█████▏    | 1948/3786 [01:05<01:03, 28.79ex/s]


preprocess datasets #2:  49%|████▊     | 1840/3786 [01:05<01:10, 27.76ex/s]

preprocess datasets #1:  20%|█▉        | 753/3786 [01:05<04:29, 11.24ex/s]




preprocess datasets #4:  52%|█████▏    | 1955/3785 [01:05<01:03, 28.84ex/s]
preprocess datasets #0:  19%|█▉        | 720/3786 [01:05<03:45, 13.60ex/s]



preprocess datasets #3:  52%|█████▏    | 1952/3786 [01:05<01:03, 28.94ex/s]


preprocess datasets #2:  49%|████▊     | 1843/3786 [01:05<01:09, 28.16ex/s]




preprocess datasets #4:  52%|█████▏    | 1961/3785 [01:05<00:52, 34.83ex/s]

preprocess datasets #1:  20%|█▉        | 755/3786 [01:06<04:16, 11.81ex/s]


preprocess datasets #2:  49%|████▉     | 1846/3786 [01:06<01:13, 26.47ex/s]
preprocess datasets #0:  19%|█▉        | 722/3786 [01:06<04:05, 12.46ex/s]



preprocess datasets #3:  52%|█████▏    | 1956/3786 [01:06<01:07, 27.01ex/s]




preprocess datasets #4:  52%|█████▏    | 1967/3785 [01:06<00:46, 38.87ex/s]

preprocess datasets #1:  20%|█▉        | 757/3786 [01:06<04:29, 11.23ex/s]



preprocess datasets #3:  52%|█████▏    | 1960/3786 [01:06<01:01, 29.82ex/s]


preprocess datasets #2:  49%|████▉     | 1849/3786 [01:06<01:18, 24.83ex/s]
preprocess datasets #0:  19%|█▉        | 724/3786 [01:06<04:04, 12.54ex/s]




preprocess datasets #4:  52%|█████▏    | 1973/3785 [01:06<00:45, 39.42ex/s]

preprocess datasets #1:  20%|██        | 759/3786 [01:06<04:11, 12.02ex/s]


preprocess datasets #2:  49%|████▉     | 1852/3786 [01:06<01:18, 24.72ex/s]



preprocess datasets #3:  52%|█████▏    | 1964/3786 [01:06<01:01, 29.81ex/s]




preprocess datasets #4:  52%|█████▏    | 1977/3785 [01:06<00:47, 38.37ex/s]
preprocess datasets #0:  19%|█▉        | 726/3786 [01:06<04:08, 12.30ex/s]



preprocess datasets #3:  52%|█████▏    | 1970/3786 [01:06<00:49, 36.89ex/s]


preprocess datasets #2:  49%|████▉     | 1855/3786 [01:06<01:16, 25.09ex/s]




preprocess datasets #4:  52%|█████▏    | 1981/3785 [01:06<00:46, 38.75ex/s]

preprocess datasets #1:  20%|██        | 761/3786 [01:06<04:16, 11.78ex/s]



preprocess datasets #3:  52%|█████▏    | 1974/3786 [01:06<00:50, 35.86ex/s]




preprocess datasets #4:  53%|█████▎    | 1988/3785 [01:06<00:38, 46.58ex/s]
preprocess datasets #0:  19%|█▉        | 728/3786 [01:06<04:28, 11.39ex/s]


preprocess datasets #2:  49%|████▉     | 1860/3786 [01:06<01:10, 27.24ex/s]

preprocess datasets #1:  20%|██        | 763/3786 [01:06<04:07, 12.20ex/s]



preprocess datasets #3:  52%|█████▏    | 1978/3786 [01:06<00:52, 34.40ex/s]




preprocess datasets #4:  53%|█████▎    | 1993/3785 [01:06<00:41, 43.60ex/s]
preprocess datasets #0:  19%|█▉        | 730/3786 [01:06<04:10, 12.21ex/s]


preprocess datasets #2:  49%|████▉     | 1863/3786 [01:06<01:15, 25.56ex/s]

preprocess datasets #1:  20%|██        | 765/3786 [01:06<03:47, 13.25ex/s]



preprocess datasets #3:  52%|█████▏    | 1982/3786 [01:06<00:53, 33.64ex/s]




preprocess datasets #4:  53%|█████▎    | 1998/3785 [01:06<00:40, 43.83ex/s]


preprocess datasets #2:  49%|████▉     | 1867/3786 [01:06<01:06, 28.71ex/s]

preprocess datasets #1:  20%|██        | 767/3786 [01:06<03:26, 14.61ex/s]
preprocess datasets #0:  19%|█▉        | 732/3786 [01:06<04:04, 12.47ex/s]



preprocess datasets #3:  52%|█████▏    | 1986/3786 [01:06<00:59, 30.03ex/s]


preprocess datasets #2:  49%|████▉     | 1870/3786 [01:07<01:13, 26.06ex/s]

preprocess datasets #1:  20%|██        | 769/3786 [01:07<03:29, 14.40ex/s]
preprocess datasets #0:  19%|█▉        | 734/3786 [01:07<04:12, 12.10ex/s]



preprocess datasets #3:  53%|█████▎    | 1990/3786 [01:07<01:00, 29.48ex/s]


preprocess datasets #2:  49%|████▉     | 1873/3786 [01:07<01:21, 23.49ex/s]

preprocess datasets #1:  20%|██        | 771/3786 [01:07<03:27, 14.51ex/s]
preprocess datasets #0:  19%|█▉        | 736/3786 [01:07<04:05, 12.44ex/s]



preprocess datasets #3:  53%|█████▎    | 1994/3786 [01:07<00:57, 30.98ex/s]


preprocess datasets #2:  50%|████▉     | 1876/3786 [01:07<01:16, 24.96ex/s]




preprocess datasets #4:  53%|█████▎    | 2003/3785 [01:07<01:21, 21.89ex/s]



preprocess datasets #3:  53%|█████▎    | 1998/3786 [01:07<00:55, 32.29ex/s]

preprocess datasets #1:  20%|██        | 773/3786 [01:07<03:53, 12.89ex/s]
preprocess datasets #0:  19%|█▉        | 738/3786 [01:07<04:00, 12.66ex/s]


preprocess datasets #2:  50%|████▉     | 1880/3786 [01:07<01:10, 27.16ex/s]




preprocess datasets #4:  53%|█████▎    | 2011/3785 [01:07<00:57, 30.74ex/s]


preprocess datasets #2:  50%|████▉     | 1885/3786 [01:07<00:58, 32.31ex/s]

preprocess datasets #1:  20%|██        | 775/3786 [01:07<03:45, 13.35ex/s]
preprocess datasets #0:  20%|█▉        | 740/3786 [01:07<04:02, 12.54ex/s]




preprocess datasets #4:  53%|█████▎    | 2017/3785 [01:07<00:51, 34.63ex/s]


preprocess datasets #2:  50%|████▉     | 1889/3786 [01:07<00:56, 33.77ex/s]




preprocess datasets #4:  53%|█████▎    | 2022/3785 [01:07<00:48, 36.60ex/s]


preprocess datasets #2:  50%|█████     | 1894/3786 [01:07<00:49, 37.99ex/s]
preprocess datasets #0:  20%|█▉        | 742/3786 [01:07<04:05, 12.39ex/s]

preprocess datasets #1:  21%|██        | 777/3786 [01:07<04:21, 11.52ex/s]




preprocess datasets #4:  54%|█████▎    | 2028/3785 [01:07<00:43, 40.19ex/s]


preprocess datasets #2:  50%|█████     | 1898/3786 [01:07<00:59, 31.86ex/s]
preprocess datasets #0:  20%|█▉        | 744/3786 [01:07<04:13, 12.01ex/s]

preprocess datasets #1:  21%|██        | 779/3786 [01:07<04:18, 11.62ex/s]



preprocess datasets #3:  53%|█████▎    | 2002/3786 [01:07<01:56, 15.25ex/s]




preprocess datasets #4:  54%|█████▎    | 2033/3785 [01:07<00:48, 36.10ex/s]


preprocess datasets #2:  50%|█████     | 1902/3786 [01:08<00:58, 32.06ex/s]
preprocess datasets #0:  20%|█▉        | 746/3786 [01:08<04:05, 12.37ex/s]

preprocess datasets #1:  21%|██        | 781/3786 [01:08<04:06, 12.18ex/s]



preprocess datasets #3:  53%|█████▎    | 2007/3786 [01:08<01:31, 19.46ex/s]




preprocess datasets #4:  54%|█████▍    | 2038/3785 [01:08<00:45, 38.31ex/s]


preprocess datasets #2:  50%|█████     | 1906/3786 [01:08<01:06, 28.31ex/s]




preprocess datasets #4:  54%|█████▍    | 2046/3785 [01:08<00:36, 47.01ex/s]



preprocess datasets #3:  53%|█████▎    | 2014/3786 [01:08<01:06, 26.77ex/s]
preprocess datasets #0:  20%|█▉        | 748/3786 [01:08<04:04, 12.44ex/s]

preprocess datasets #1:  21%|██        | 783/3786 [01:08<04:07, 12.15ex/s]




preprocess datasets #4:  54%|█████▍    | 2052/3785 [01:08<00:34, 50.19ex/s]



preprocess datasets #3:  53%|█████▎    | 2019/3786 [01:08<00:58, 30.26ex/s]


preprocess datasets #2:  50%|█████     | 1910/3786 [01:08<01:06, 28.42ex/s]

preprocess datasets #1:  21%|██        | 785/3786 [01:08<03:57, 12.65ex/s]
preprocess datasets #0:  20%|█▉        | 750/3786 [01:08<04:19, 11.70ex/s]



preprocess datasets #3:  54%|█████▎    | 2026/3786 [01:08<00:47, 36.69ex/s]




preprocess datasets #4:  54%|█████▍    | 2058/3785 [01:08<00:36, 47.58ex/s]


preprocess datasets #2:  51%|█████     | 1914/3786 [01:08<01:04, 29.10ex/s]

preprocess datasets #1:  21%|██        | 787/3786 [01:08<04:02, 12.37ex/s]



preprocess datasets #3:  54%|█████▎    | 2031/3786 [01:08<00:45, 38.57ex/s]


preprocess datasets #2:  51%|█████     | 1918/3786 [01:08<00:59, 31.56ex/s]




preprocess datasets #4:  55%|█████▍    | 2064/3785 [01:08<00:38, 44.78ex/s]
preprocess datasets #0:  20%|█▉        | 752/3786 [01:08<04:35, 11.00ex/s]


preprocess datasets #2:  51%|█████     | 1922/3786 [01:08<00:56, 32.93ex/s]

preprocess datasets #1:  21%|██        | 789/3786 [01:08<03:56, 12.69ex/s]



preprocess datasets #3:  54%|█████▍    | 2036/3786 [01:08<00:46, 38.04ex/s]




preprocess datasets #4:  55%|█████▍    | 2069/3785 [01:08<00:37, 45.83ex/s]


preprocess datasets #2:  51%|█████     | 1926/3786 [01:08<00:56, 32.94ex/s]
preprocess datasets #0:  20%|█▉        | 754/3786 [01:08<04:53, 10.33ex/s]




preprocess datasets #4:  55%|█████▍    | 2075/3785 [01:08<00:38, 44.63ex/s]



preprocess datasets #3:  54%|█████▍    | 2041/3786 [01:08<00:48, 36.33ex/s]

preprocess datasets #1:  21%|██        | 791/3786 [01:08<04:11, 11.91ex/s]


preprocess datasets #2:  51%|█████     | 1931/3786 [01:08<00:51, 36.19ex/s]




preprocess datasets #4:  55%|█████▌    | 2082/3785 [01:08<00:35, 47.91ex/s]



preprocess datasets #3:  54%|█████▍    | 2046/3786 [01:08<00:46, 37.04ex/s]

preprocess datasets #1:  21%|██        | 793/3786 [01:09<03:57, 12.61ex/s]


preprocess datasets #2:  51%|█████     | 1935/3786 [01:09<00:50, 36.78ex/s]
preprocess datasets #0:  20%|█▉        | 756/3786 [01:09<05:02, 10.03ex/s]



preprocess datasets #3:  54%|█████▍    | 2052/3786 [01:09<00:41, 41.50ex/s]




preprocess datasets #4:  55%|█████▌    | 2087/3785 [01:09<00:39, 43.25ex/s]


preprocess datasets #2:  51%|█████     | 1939/3786 [01:09<00:52, 35.34ex/s]

preprocess datasets #1:  21%|██        | 795/3786 [01:09<03:55, 12.68ex/s]



preprocess datasets #3:  54%|█████▍    | 2057/3786 [01:09<00:42, 40.39ex/s]
preprocess datasets #0:  20%|██        | 758/3786 [01:09<04:58, 10.14ex/s]




preprocess datasets #4:  55%|█████▌    | 2092/3785 [01:09<00:41, 41.06ex/s]


preprocess datasets #2:  51%|█████▏    | 1943/3786 [01:09<00:55, 33.39ex/s]

preprocess datasets #1:  21%|██        | 797/3786 [01:09<03:51, 12.91ex/s]



preprocess datasets #3:  54%|█████▍    | 2062/3786 [01:09<00:45, 37.64ex/s]




preprocess datasets #4:  55%|█████▌    | 2097/3785 [01:09<00:41, 40.38ex/s]
preprocess datasets #0:  20%|██        | 760/3786 [01:09<04:59, 10.12ex/s]


preprocess datasets #2:  51%|█████▏    | 1947/3786 [01:09<01:00, 30.26ex/s]

preprocess datasets #1:  21%|██        | 799/3786 [01:09<03:44, 13.30ex/s]



preprocess datasets #3:  55%|█████▍    | 2067/3786 [01:09<00:43, 39.44ex/s]




preprocess datasets #4:  56%|█████▌    | 2102/3785 [01:09<00:41, 40.77ex/s]


preprocess datasets #2:  52%|█████▏    | 1951/3786 [01:09<01:04, 28.59ex/s]



preprocess datasets #3:  55%|█████▍    | 2072/3786 [01:09<00:42, 40.08ex/s]




preprocess datasets #4:  56%|█████▌    | 2107/3785 [01:09<00:40, 41.57ex/s]

preprocess datasets #1:  21%|██        | 801/3786 [01:09<03:51, 12.88ex/s]
preprocess datasets #0:  20%|██        | 762/3786 [01:09<05:16,  9.57ex/s]


preprocess datasets #2:  52%|█████▏    | 1955/3786 [01:09<01:00, 30.29ex/s]




preprocess datasets #4:  56%|█████▌    | 2112/3785 [01:09<00:38, 43.09ex/s]



preprocess datasets #3:  55%|█████▍    | 2077/3786 [01:09<00:42, 39.78ex/s]
preprocess datasets #0:  20%|██        | 764/3786 [01:09<04:34, 11.01ex/s]


preprocess datasets #2:  52%|█████▏    | 1959/3786 [01:09<00:56, 32.08ex/s]

preprocess datasets #1:  21%|██        | 803/3786 [01:09<04:14, 11.72ex/s]




preprocess datasets #4:  56%|█████▌    | 2117/3785 [01:09<00:38, 43.49ex/s]



preprocess datasets #3:  55%|█████▍    | 2082/3786 [01:09<00:42, 40.48ex/s]
preprocess datasets #0:  20%|██        | 767/3786 [01:09<03:46, 13.34ex/s]




preprocess datasets #4:  56%|█████▌    | 2122/3785 [01:09<00:37, 43.80ex/s]


preprocess datasets #2:  52%|█████▏    | 1963/3786 [01:09<00:58, 30.97ex/s]



preprocess datasets #3:  55%|█████▌    | 2087/3786 [01:09<00:42, 39.78ex/s]

preprocess datasets #1:  21%|██▏       | 805/3786 [01:10<04:32, 10.95ex/s]
preprocess datasets #0:  20%|██        | 769/3786 [01:10<03:34, 14.08ex/s]




preprocess datasets #4:  56%|█████▌    | 2129/3785 [01:10<00:35, 46.20ex/s]


preprocess datasets #2:  52%|█████▏    | 1967/3786 [01:10<01:03, 28.80ex/s]



preprocess datasets #3:  55%|█████▌    | 2092/3786 [01:10<00:45, 37.62ex/s]




preprocess datasets #4:  56%|█████▋    | 2134/3785 [01:10<00:38, 42.98ex/s]

preprocess datasets #1:  21%|██▏       | 807/3786 [01:10<04:34, 10.85ex/s]



preprocess datasets #3:  55%|█████▌    | 2097/3786 [01:10<00:42, 39.31ex/s]


preprocess datasets #2:  52%|█████▏    | 1971/3786 [01:10<01:01, 29.40ex/s]
preprocess datasets #0:  20%|██        | 771/3786 [01:10<03:53, 12.90ex/s]




preprocess datasets #4:  57%|█████▋    | 2139/3785 [01:10<00:38, 42.54ex/s]



preprocess datasets #3:  56%|█████▌    | 2104/3786 [01:10<00:36, 46.28ex/s]
preprocess datasets #0:  20%|██        | 773/3786 [01:10<03:40, 13.69ex/s]


preprocess datasets #2:  52%|█████▏    | 1976/3786 [01:10<00:57, 31.58ex/s]



preprocess datasets #3:  56%|█████▌    | 2109/3786 [01:10<00:38, 43.08ex/s]


preprocess datasets #2:  52%|█████▏    | 1980/3786 [01:10<00:54, 33.14ex/s]

preprocess datasets #1:  21%|██▏       | 809/3786 [01:10<05:10,  9.60ex/s]




preprocess datasets #4:  57%|█████▋    | 2144/3785 [01:10<00:42, 38.82ex/s]
preprocess datasets #0:  20%|██        | 775/3786 [01:10<03:46, 13.32ex/s]



preprocess datasets #3:  56%|█████▌    | 2115/3786 [01:10<00:35, 46.64ex/s]


preprocess datasets #2:  52%|█████▏    | 1984/3786 [01:10<00:56, 32.16ex/s]




preprocess datasets #4:  57%|█████▋    | 2148/3785 [01:10<00:45, 36.23ex/s]

preprocess datasets #1:  21%|██▏       | 811/3786 [01:10<04:43, 10.48ex/s]
preprocess datasets #0:  21%|██        | 777/3786 [01:10<03:43, 13.47ex/s]



preprocess datasets #3:  56%|█████▌    | 2120/3786 [01:10<00:37, 44.32ex/s]


preprocess datasets #2:  53%|█████▎    | 1989/3786 [01:10<00:54, 32.75ex/s]




preprocess datasets #4:  57%|█████▋    | 2152/3785 [01:10<00:49, 33.30ex/s]

preprocess datasets #1:  21%|██▏       | 813/3786 [01:10<04:24, 11.26ex/s]



preprocess datasets #3:  56%|█████▌    | 2128/3786 [01:10<00:31, 52.00ex/s]
preprocess datasets #0:  21%|██        | 779/3786 [01:10<03:56, 12.69ex/s]

preprocess datasets #1:  22%|██▏       | 815/3786 [01:10<04:06, 12.05ex/s]




preprocess datasets #4:  57%|█████▋    | 2156/3785 [01:10<00:52, 31.03ex/s]



preprocess datasets #3:  56%|█████▋    | 2134/3786 [01:10<00:31, 53.06ex/s]


preprocess datasets #2:  53%|█████▎    | 1993/3786 [01:10<01:01, 29.39ex/s]



preprocess datasets #3:  57%|█████▋    | 2140/3786 [01:11<00:30, 54.80ex/s]
preprocess datasets #0:  21%|██        | 781/3786 [01:11<04:08, 12.11ex/s]




preprocess datasets #4:  57%|█████▋    | 2161/3785 [01:11<00:46, 34.59ex/s]


preprocess datasets #2:  53%|█████▎    | 1997/3786 [01:11<01:01, 29.31ex/s]

preprocess datasets #1:  22%|██▏       | 817/3786 [01:11<04:06, 12.05ex/s]



preprocess datasets #3:  57%|█████▋    | 2146/3786 [01:11<00:29, 55.09ex/s]
preprocess datasets #0:  21%|██        | 783/3786 [01:11<03:50, 13.02ex/s]




preprocess datasets #4:  57%|█████▋    | 2165/3785 [01:11<00:48, 33.31ex/s]

preprocess datasets #1:  22%|██▏       | 819/3786 [01:11<04:12, 11.74ex/s]




preprocess datasets #4:  57%|█████▋    | 2171/3785 [01:11<00:40, 39.52ex/s]



preprocess datasets #3:  57%|█████▋    | 2152/3786 [01:11<00:32, 50.18ex/s]
preprocess datasets #0:  21%|██        | 785/3786 [01:11<04:05, 12.21ex/s]

preprocess datasets #1:  22%|██▏       | 821/3786 [01:11<03:44, 13.23ex/s]




preprocess datasets #4:  57%|█████▋    | 2176/3785 [01:11<00:41, 39.21ex/s]



preprocess datasets #3:  57%|█████▋    | 2158/3786 [01:11<00:36, 44.47ex/s]




preprocess datasets #4:  58%|█████▊    | 2181/3785 [01:11<00:41, 38.52ex/s]

preprocess datasets #1:  22%|██▏       | 823/3786 [01:11<03:48, 12.94ex/s]
preprocess datasets #0:  21%|██        | 787/3786 [01:11<04:21, 11.48ex/s]



preprocess datasets #3:  57%|█████▋    | 2163/3786 [01:11<00:35, 45.72ex/s]




preprocess datasets #4:  58%|█████▊    | 2187/3785 [01:11<00:37, 42.58ex/s]



preprocess datasets #3:  57%|█████▋    | 2168/3786 [01:11<00:37, 43.15ex/s]

preprocess datasets #1:  22%|██▏       | 825/3786 [01:11<04:00, 12.33ex/s]
preprocess datasets #0:  21%|██        | 789/3786 [01:11<04:27, 11.20ex/s]




preprocess datasets #4:  58%|█████▊    | 2193/3785 [01:11<00:35, 44.32ex/s]



preprocess datasets #3:  57%|█████▋    | 2173/3786 [01:11<00:40, 40.24ex/s]




preprocess datasets #4:  58%|█████▊    | 2198/3785 [01:11<00:35, 45.21ex/s]

preprocess datasets #1:  22%|██▏       | 827/3786 [01:11<04:02, 12.19ex/s]
preprocess datasets #0:  21%|██        | 791/3786 [01:11<04:25, 11.29ex/s]



preprocess datasets #3:  58%|█████▊    | 2178/3786 [01:11<00:39, 40.56ex/s]




preprocess datasets #4:  58%|█████▊    | 2204/3785 [01:11<00:34, 45.97ex/s]


preprocess datasets #2:  53%|█████▎    | 2000/3786 [01:11<02:56, 10.10ex/s]



preprocess datasets #3:  58%|█████▊    | 2185/3786 [01:12<00:34, 46.61ex/s]

preprocess datasets #1:  22%|██▏       | 830/3786 [01:12<03:38, 13.50ex/s]


preprocess datasets #2:  53%|█████▎    | 2007/3786 [01:12<01:50, 16.05ex/s]




preprocess datasets #4:  58%|█████▊    | 2210/3785 [01:12<00:32, 48.15ex/s]
preprocess datasets #0:  21%|██        | 793/3786 [01:12<04:58, 10.03ex/s]



preprocess datasets #3:  58%|█████▊    | 2191/3786 [01:12<00:32, 49.18ex/s]


preprocess datasets #2:  53%|█████▎    | 2011/3786 [01:12<01:34, 18.71ex/s]




preprocess datasets #4:  59%|█████▊    | 2215/3785 [01:12<00:36, 43.01ex/s]

preprocess datasets #1:  22%|██▏       | 832/3786 [01:12<04:02, 12.19ex/s]



preprocess datasets #3:  58%|█████▊    | 2197/3786 [01:12<00:32, 48.59ex/s]
preprocess datasets #0:  21%|██        | 795/3786 [01:12<04:35, 10.87ex/s]


preprocess datasets #2:  53%|█████▎    | 2016/3786 [01:12<01:17, 22.76ex/s]




preprocess datasets #4:  59%|█████▊    | 2220/3785 [01:12<00:37, 42.26ex/s]

preprocess datasets #1:  22%|██▏       | 834/3786 [01:12<03:39, 13.48ex/s]



preprocess datasets #3:  58%|█████▊    | 2202/3786 [01:12<00:34, 45.48ex/s]


preprocess datasets #2:  53%|█████▎    | 2021/3786 [01:12<01:04, 27.25ex/s]
preprocess datasets #0:  21%|██        | 797/3786 [01:12<04:36, 10.81ex/s]




preprocess datasets #4:  59%|█████▉    | 2225/3785 [01:12<00:39, 39.71ex/s]

preprocess datasets #1:  22%|██▏       | 836/3786 [01:12<03:42, 13.26ex/s]


preprocess datasets #2:  54%|█████▎    | 2026/3786 [01:12<00:58, 30.11ex/s]



preprocess datasets #3:  58%|█████▊    | 2207/3786 [01:12<00:40, 39.39ex/s]
preprocess datasets #0:  21%|██        | 799/3786 [01:12<04:04, 12.24ex/s]

preprocess datasets #1:  22%|██▏       | 838/3786 [01:12<03:36, 13.62ex/s]


preprocess datasets #2:  54%|█████▎    | 2031/3786 [01:12<00:52, 33.57ex/s]



preprocess datasets #3:  58%|█████▊    | 2213/3786 [01:12<00:37, 41.88ex/s]
preprocess datasets #0:  21%|██        | 801/3786 [01:12<04:00, 12.40ex/s]




preprocess datasets #4:  59%|█████▉    | 2230/3785 [01:12<00:49, 31.49ex/s]

preprocess datasets #1:  22%|██▏       | 840/3786 [01:12<03:20, 14.69ex/s]


preprocess datasets #2:  54%|█████▍    | 2037/3786 [01:12<00:44, 38.98ex/s]



preprocess datasets #3:  59%|█████▊    | 2218/3786 [01:12<00:38, 41.03ex/s]


preprocess datasets #2:  54%|█████▍    | 2042/3786 [01:12<00:42, 40.57ex/s]
preprocess datasets #0:  21%|██        | 803/3786 [01:12<04:00, 12.42ex/s]




preprocess datasets #4:  59%|█████▉    | 2234/3785 [01:12<00:52, 29.42ex/s]

preprocess datasets #1:  22%|██▏       | 842/3786 [01:12<03:23, 14.44ex/s]



preprocess datasets #3:  59%|█████▊    | 2223/3786 [01:12<00:38, 40.83ex/s]


preprocess datasets #2:  54%|█████▍    | 2047/3786 [01:13<00:46, 37.28ex/s]
preprocess datasets #0:  21%|██▏       | 805/3786 [01:13<04:08, 12.00ex/s]



preprocess datasets #3:  59%|█████▉    | 2228/3786 [01:13<00:39, 39.47ex/s]




preprocess datasets #4:  59%|█████▉    | 2238/3785 [01:13<00:58, 26.48ex/s]


preprocess datasets #2:  54%|█████▍    | 2052/3786 [01:13<00:43, 39.45ex/s]

preprocess datasets #1:  22%|██▏       | 844/3786 [01:13<04:13, 11.62ex/s]




preprocess datasets #4:  59%|█████▉    | 2242/3785 [01:13<00:53, 28.81ex/s]
preprocess datasets #0:  21%|██▏       | 807/3786 [01:13<03:59, 12.45ex/s]



preprocess datasets #3:  59%|█████▉    | 2232/3786 [01:13<00:43, 35.46ex/s]


preprocess datasets #2:  54%|█████▍    | 2058/3786 [01:13<00:40, 42.24ex/s]




preprocess datasets #4:  59%|█████▉    | 2246/3785 [01:13<00:54, 28.42ex/s]

preprocess datasets #1:  22%|██▏       | 846/3786 [01:13<04:26, 11.02ex/s]


preprocess datasets #2:  54%|█████▍    | 2063/3786 [01:13<00:40, 42.64ex/s]



preprocess datasets #3:  59%|█████▉    | 2236/3786 [01:13<00:48, 31.95ex/s]
preprocess datasets #0:  21%|██▏       | 809/3786 [01:13<04:04, 12.18ex/s]




preprocess datasets #4:  59%|█████▉    | 2251/3785 [01:13<00:47, 32.27ex/s]


preprocess datasets #2:  55%|█████▍    | 2069/3786 [01:13<00:39, 43.16ex/s]
preprocess datasets #0:  21%|██▏       | 811/3786 [01:13<03:56, 12.57ex/s]



preprocess datasets #3:  59%|█████▉    | 2241/3786 [01:13<00:48, 31.59ex/s]

preprocess datasets #1:  22%|██▏       | 848/3786 [01:13<04:31, 10.82ex/s]




preprocess datasets #4:  60%|█████▉    | 2258/3785 [01:13<00:39, 38.81ex/s]


preprocess datasets #2:  55%|█████▍    | 2074/3786 [01:13<00:42, 40.67ex/s]
preprocess datasets #0:  21%|██▏       | 813/3786 [01:13<03:55, 12.65ex/s]




preprocess datasets #4:  60%|█████▉    | 2263/3785 [01:13<00:39, 38.37ex/s]



preprocess datasets #3:  59%|█████▉    | 2245/3786 [01:13<00:56, 27.31ex/s]


preprocess datasets #2:  55%|█████▍    | 2080/3786 [01:13<00:38, 44.83ex/s]




preprocess datasets #4:  60%|█████▉    | 2267/3785 [01:13<00:43, 34.82ex/s]
preprocess datasets #0:  22%|██▏       | 815/3786 [01:13<04:07, 12.01ex/s]


preprocess datasets #2:  55%|█████▌    | 2087/3786 [01:13<00:36, 46.28ex/s]



preprocess datasets #3:  59%|█████▉    | 2248/3786 [01:13<01:05, 23.42ex/s]

preprocess datasets #1:  22%|██▏       | 850/3786 [01:14<06:07,  7.99ex/s]


preprocess datasets #2:  55%|█████▌    | 2092/3786 [01:14<00:37, 44.92ex/s]




preprocess datasets #4:  60%|██████    | 2271/3785 [01:14<00:48, 30.98ex/s]
preprocess datasets #0:  22%|██▏       | 817/3786 [01:14<04:05, 12.10ex/s]

preprocess datasets #1:  23%|██▎       | 852/3786 [01:14<05:07,  9.55ex/s]



preprocess datasets #3:  59%|█████▉    | 2251/3786 [01:14<01:09, 21.99ex/s]


preprocess datasets #2:  55%|█████▌    | 2097/3786 [01:14<00:38, 44.43ex/s]
preprocess datasets #0:  22%|██▏       | 819/3786 [01:14<03:38, 13.56ex/s]



preprocess datasets #3:  60%|█████▉    | 2254/3786 [01:14<01:05, 23.44ex/s]




preprocess datasets #4:  60%|██████    | 2275/3785 [01:14<00:54, 27.65ex/s]

preprocess datasets #1:  23%|██▎       | 854/3786 [01:14<04:48, 10.17ex/s]


preprocess datasets #2:  56%|█████▌    | 2103/3786 [01:14<00:35, 47.36ex/s]
preprocess datasets #0:  22%|██▏       | 821/3786 [01:14<03:56, 12.52ex/s]



preprocess datasets #3:  60%|█████▉    | 2257/3786 [01:14<01:05, 23.32ex/s]


preprocess datasets #2:  56%|█████▌    | 2109/3786 [01:14<00:33, 49.55ex/s]




preprocess datasets #4:  60%|██████    | 2278/3785 [01:14<00:58, 25.96ex/s]

preprocess datasets #1:  23%|██▎       | 856/3786 [01:14<04:59,  9.78ex/s]



preprocess datasets #3:  60%|█████▉    | 2260/3786 [01:14<01:04, 23.60ex/s]




preprocess datasets #4:  60%|██████    | 2281/3785 [01:14<00:56, 26.64ex/s]


preprocess datasets #2:  56%|█████▌    | 2115/3786 [01:14<00:33, 50.53ex/s]
preprocess datasets #0:  22%|██▏       | 823/3786 [01:14<03:57, 12.50ex/s]




preprocess datasets #4:  60%|██████    | 2285/3785 [01:14<00:52, 28.77ex/s]



preprocess datasets #3:  60%|█████▉    | 2264/3786 [01:14<00:57, 26.34ex/s]

preprocess datasets #1:  23%|██▎       | 858/3786 [01:14<04:29, 10.86ex/s]


preprocess datasets #2:  56%|█████▌    | 2121/3786 [01:14<00:35, 46.66ex/s]
preprocess datasets #0:  22%|██▏       | 825/3786 [01:14<04:02, 12.23ex/s]



preprocess datasets #3:  60%|█████▉    | 2269/3786 [01:14<00:49, 30.76ex/s]




preprocess datasets #4:  61%|██████    | 2290/3785 [01:14<00:47, 31.26ex/s]

preprocess datasets #1:  23%|██▎       | 860/3786 [01:14<04:02, 12.07ex/s]


preprocess datasets #2:  56%|█████▌    | 2126/3786 [01:14<00:35, 47.12ex/s]




preprocess datasets #4:  61%|██████    | 2294/3785 [01:14<00:46, 32.21ex/s]
preprocess datasets #0:  22%|██▏       | 827/3786 [01:14<04:04, 12.11ex/s]



preprocess datasets #3:  60%|██████    | 2273/3786 [01:14<00:51, 29.22ex/s]


preprocess datasets #2:  56%|█████▋    | 2131/3786 [01:14<00:36, 44.75ex/s]

preprocess datasets #1:  23%|██▎       | 862/3786 [01:14<04:16, 11.40ex/s]




preprocess datasets #4:  61%|██████    | 2298/3785 [01:14<00:43, 34.01ex/s]



preprocess datasets #3:  60%|██████    | 2278/3786 [01:14<00:45, 33.45ex/s]


preprocess datasets #2:  56%|█████▋    | 2138/3786 [01:15<00:34, 47.79ex/s]
preprocess datasets #0:  22%|██▏       | 829/3786 [01:15<03:58, 12.39ex/s]




preprocess datasets #4:  61%|██████    | 2303/3785 [01:15<00:42, 35.14ex/s]

preprocess datasets #1:  23%|██▎       | 864/3786 [01:15<04:24, 11.04ex/s]


preprocess datasets #2:  57%|█████▋    | 2143/3786 [01:15<00:36, 44.43ex/s]



preprocess datasets #3:  60%|██████    | 2282/3786 [01:15<00:50, 29.77ex/s]
preprocess datasets #0:  22%|██▏       | 831/3786 [01:15<03:49, 12.87ex/s]




preprocess datasets #4:  61%|██████    | 2307/3785 [01:15<00:40, 36.25ex/s]


preprocess datasets #2:  57%|█████▋    | 2148/3786 [01:15<00:37, 44.21ex/s]



preprocess datasets #3:  60%|██████    | 2286/3786 [01:15<00:48, 30.99ex/s]




preprocess datasets #4:  61%|██████    | 2312/3785 [01:15<00:41, 35.57ex/s]

preprocess datasets #1:  23%|██▎       | 866/3786 [01:15<04:34, 10.62ex/s]
preprocess datasets #0:  22%|██▏       | 833/3786 [01:15<04:06, 11.97ex/s]


preprocess datasets #2:  57%|█████▋    | 2153/3786 [01:15<00:36, 45.10ex/s]



preprocess datasets #3:  60%|██████    | 2290/3786 [01:15<00:51, 28.98ex/s]




preprocess datasets #4:  61%|██████    | 2316/3785 [01:15<00:44, 33.36ex/s]

preprocess datasets #1:  23%|██▎       | 868/3786 [01:15<04:12, 11.55ex/s]


preprocess datasets #2:  57%|█████▋    | 2158/3786 [01:15<00:36, 44.30ex/s]
preprocess datasets #0:  22%|██▏       | 835/3786 [01:15<04:19, 11.37ex/s]



preprocess datasets #3:  61%|██████    | 2295/3786 [01:15<00:48, 30.60ex/s]


preprocess datasets #2:  57%|█████▋    | 2163/3786 [01:15<00:36, 44.95ex/s]




preprocess datasets #4:  61%|██████▏   | 2321/3785 [01:15<00:40, 35.90ex/s]

preprocess datasets #1:  23%|██▎       | 870/3786 [01:15<04:25, 11.00ex/s]
preprocess datasets #0:  22%|██▏       | 837/3786 [01:15<04:14, 11.58ex/s]


preprocess datasets #2:  57%|█████▋    | 2168/3786 [01:15<00:37, 42.64ex/s]



preprocess datasets #3:  61%|██████    | 2300/3786 [01:15<00:47, 31.19ex/s]




preprocess datasets #4:  61%|██████▏   | 2325/3785 [01:15<00:44, 33.09ex/s]


preprocess datasets #2:  57%|█████▋    | 2173/3786 [01:15<00:36, 44.12ex/s]




preprocess datasets #4:  62%|██████▏   | 2329/3785 [01:15<00:42, 34.31ex/s]



preprocess datasets #3:  61%|██████    | 2304/3786 [01:15<00:48, 30.69ex/s]
preprocess datasets #0:  22%|██▏       | 839/3786 [01:15<04:08, 11.87ex/s]

preprocess datasets #1:  23%|██▎       | 872/3786 [01:15<04:30, 10.77ex/s]


preprocess datasets #2:  58%|█████▊    | 2178/3786 [01:15<00:37, 42.52ex/s]



preprocess datasets #3:  61%|██████    | 2308/3786 [01:15<00:45, 32.19ex/s]
preprocess datasets #0:  22%|██▏       | 841/3786 [01:16<03:40, 13.38ex/s]




preprocess datasets #4:  62%|██████▏   | 2333/3785 [01:15<00:45, 31.64ex/s]

preprocess datasets #1:  23%|██▎       | 874/3786 [01:16<04:29, 10.80ex/s]
preprocess datasets #0:  22%|██▏       | 843/3786 [01:16<03:20, 14.70ex/s]



preprocess datasets #3:  61%|██████    | 2312/3786 [01:16<00:44, 32.94ex/s]


preprocess datasets #2:  58%|█████▊    | 2183/3786 [01:16<00:40, 39.47ex/s]




preprocess datasets #4:  62%|██████▏   | 2337/3785 [01:16<00:48, 29.96ex/s]



preprocess datasets #3:  61%|██████    | 2316/3786 [01:16<00:44, 32.92ex/s]


preprocess datasets #2:  58%|█████▊    | 2188/3786 [01:16<00:40, 38.98ex/s]
preprocess datasets #0:  22%|██▏       | 845/3786 [01:16<03:32, 13.84ex/s]

preprocess datasets #1:  23%|██▎       | 876/3786 [01:16<04:41, 10.32ex/s]




preprocess datasets #4:  62%|██████▏   | 2341/3785 [01:16<00:48, 29.54ex/s]


preprocess datasets #2:  58%|█████▊    | 2192/3786 [01:16<00:41, 38.23ex/s]



preprocess datasets #3:  61%|██████▏   | 2320/3786 [01:16<00:46, 31.64ex/s]
preprocess datasets #0:  22%|██▏       | 847/3786 [01:16<03:31, 13.87ex/s]




preprocess datasets #4:  62%|██████▏   | 2345/3785 [01:16<00:48, 29.79ex/s]

preprocess datasets #1:  23%|██▎       | 878/3786 [01:16<04:30, 10.76ex/s]


preprocess datasets #2:  58%|█████▊    | 2196/3786 [01:16<00:41, 38.18ex/s]



preprocess datasets #3:  61%|██████▏   | 2324/3786 [01:16<00:45, 31.93ex/s]




preprocess datasets #4:  62%|██████▏   | 2351/3785 [01:16<00:40, 35.74ex/s]


preprocess datasets #2:  58%|█████▊    | 2200/3786 [01:16<00:44, 35.78ex/s]

preprocess datasets #1:  23%|██▎       | 880/3786 [01:16<04:09, 11.64ex/s]
preprocess datasets #0:  22%|██▏       | 849/3786 [01:16<04:01, 12.17ex/s]



preprocess datasets #3:  62%|██████▏   | 2329/3786 [01:16<00:45, 32.15ex/s]




preprocess datasets #4:  62%|██████▏   | 2355/3785 [01:16<00:39, 35.83ex/s]


preprocess datasets #2:  58%|█████▊    | 2204/3786 [01:16<00:44, 35.40ex/s]

preprocess datasets #1:  23%|██▎       | 882/3786 [01:16<03:44, 12.92ex/s]




preprocess datasets #4:  62%|██████▏   | 2359/3785 [01:16<00:41, 34.65ex/s]



preprocess datasets #3:  62%|██████▏   | 2333/3786 [01:16<00:47, 30.59ex/s]
preprocess datasets #0:  22%|██▏       | 851/3786 [01:16<04:06, 11.89ex/s]


preprocess datasets #2:  58%|█████▊    | 2208/3786 [01:16<00:47, 33.14ex/s]




preprocess datasets #4:  62%|██████▏   | 2364/3785 [01:16<00:37, 38.10ex/s]



preprocess datasets #3:  62%|██████▏   | 2337/3786 [01:16<00:45, 32.07ex/s]

preprocess datasets #1:  23%|██▎       | 884/3786 [01:16<04:04, 11.87ex/s]
preprocess datasets #0:  23%|██▎       | 853/3786 [01:16<04:07, 11.83ex/s]


preprocess datasets #2:  58%|█████▊    | 2212/3786 [01:16<00:49, 31.77ex/s]



preprocess datasets #3:  62%|██████▏   | 2343/3786 [01:16<00:37, 38.00ex/s]




preprocess datasets #4:  63%|██████▎   | 2368/3785 [01:16<00:40, 35.08ex/s]

preprocess datasets #1:  23%|██▎       | 886/3786 [01:17<03:51, 12.55ex/s]
preprocess datasets #0:  23%|██▎       | 855/3786 [01:17<04:05, 11.94ex/s]


preprocess datasets #2:  59%|█████▊    | 2216/3786 [01:17<00:52, 30.05ex/s]




preprocess datasets #4:  63%|██████▎   | 2372/3785 [01:17<00:39, 35.58ex/s]

preprocess datasets #1:  23%|██▎       | 888/3786 [01:17<04:02, 11.97ex/s]



preprocess datasets #3:  62%|██████▏   | 2347/3786 [01:17<00:50, 28.75ex/s]


preprocess datasets #2:  59%|█████▊    | 2220/3786 [01:17<00:52, 29.82ex/s]
preprocess datasets #0:  23%|██▎       | 858/3786 [01:17<03:27, 14.11ex/s]




preprocess datasets #4:  63%|██████▎   | 2376/3785 [01:17<00:47, 29.60ex/s]

preprocess datasets #1:  24%|██▎       | 890/3786 [01:17<03:49, 12.60ex/s]



preprocess datasets #3:  62%|██████▏   | 2351/3786 [01:17<00:51, 28.11ex/s]


preprocess datasets #2:  59%|█████▊    | 2224/3786 [01:17<00:57, 27.01ex/s]
preprocess datasets #0:  23%|██▎       | 860/3786 [01:17<03:39, 13.32ex/s]

preprocess datasets #1:  24%|██▎       | 892/3786 [01:17<03:28, 13.87ex/s]




preprocess datasets #4:  63%|██████▎   | 2380/3785 [01:17<00:49, 28.30ex/s]



preprocess datasets #3:  62%|██████▏   | 2355/3786 [01:17<00:48, 29.79ex/s]


preprocess datasets #2:  59%|█████▉    | 2228/3786 [01:17<00:55, 28.26ex/s]




preprocess datasets #4:  63%|██████▎   | 2384/3785 [01:17<00:45, 30.52ex/s]



preprocess datasets #3:  62%|██████▏   | 2359/3786 [01:17<00:46, 30.38ex/s]

preprocess datasets #1:  24%|██▎       | 894/3786 [01:17<03:37, 13.29ex/s]
preprocess datasets #0:  23%|██▎       | 862/3786 [01:17<04:08, 11.77ex/s]


preprocess datasets #2:  59%|█████▉    | 2232/3786 [01:17<00:51, 30.08ex/s]




preprocess datasets #4:  63%|██████▎   | 2388/3785 [01:17<00:49, 28.36ex/s]



preprocess datasets #3:  62%|██████▏   | 2363/3786 [01:17<00:47, 29.94ex/s]


preprocess datasets #2:  59%|█████▉    | 2238/3786 [01:17<00:42, 36.22ex/s]
preprocess datasets #0:  23%|██▎       | 864/3786 [01:17<03:53, 12.49ex/s]

preprocess datasets #1:  24%|██▎       | 896/3786 [01:17<03:44, 12.90ex/s]




preprocess datasets #4:  63%|██████▎   | 2393/3785 [01:17<00:42, 32.61ex/s]


preprocess datasets #2:  59%|█████▉    | 2245/3786 [01:17<00:34, 44.29ex/s]



preprocess datasets #3:  63%|██████▎   | 2367/3786 [01:17<00:50, 28.37ex/s]
preprocess datasets #0:  23%|██▎       | 866/3786 [01:17<03:39, 13.27ex/s]

preprocess datasets #1:  24%|██▎       | 898/3786 [01:17<03:53, 12.36ex/s]


preprocess datasets #2:  59%|█████▉    | 2250/3786 [01:18<00:34, 44.26ex/s]



preprocess datasets #3:  63%|██████▎   | 2371/3786 [01:18<00:47, 30.06ex/s]




preprocess datasets #4:  63%|██████▎   | 2397/3785 [01:18<00:48, 28.43ex/s]

preprocess datasets #1:  24%|██▍       | 900/3786 [01:18<03:45, 12.81ex/s]


preprocess datasets #2:  60%|█████▉    | 2255/3786 [01:18<00:35, 43.71ex/s]



preprocess datasets #3:  63%|██████▎   | 2376/3786 [01:18<00:42, 32.96ex/s]




preprocess datasets #4:  63%|██████▎   | 2401/3785 [01:18<00:46, 29.86ex/s]
preprocess datasets #0:  23%|██▎       | 868/3786 [01:18<04:34, 10.62ex/s]



preprocess datasets #3:  63%|██████▎   | 2380/3786 [01:18<00:41, 33.69ex/s]


preprocess datasets #2:  60%|█████▉    | 2260/3786 [01:18<00:40, 37.38ex/s]
preprocess datasets #0:  23%|██▎       | 870/3786 [01:18<04:11, 11.60ex/s]




preprocess datasets #4:  64%|██████▎   | 2405/3785 [01:18<00:51, 26.95ex/s]

preprocess datasets #1:  24%|██▍       | 902/3786 [01:18<04:30, 10.66ex/s]



preprocess datasets #3:  63%|██████▎   | 2384/3786 [01:18<00:42, 33.14ex/s]




preprocess datasets #4:  64%|██████▎   | 2410/3785 [01:18<00:44, 30.73ex/s]


preprocess datasets #2:  60%|█████▉    | 2264/3786 [01:18<00:45, 33.42ex/s]
preprocess datasets #0:  23%|██▎       | 872/3786 [01:18<04:14, 11.44ex/s]



preprocess datasets #3:  63%|██████▎   | 2388/3786 [01:18<00:43, 31.81ex/s]




preprocess datasets #4:  64%|██████▍   | 2415/3785 [01:18<00:40, 34.21ex/s]


preprocess datasets #2:  60%|█████▉    | 2268/3786 [01:18<00:47, 32.11ex/s]



preprocess datasets #3:  63%|██████▎   | 2392/3786 [01:18<00:44, 31.18ex/s]
preprocess datasets #0:  23%|██▎       | 875/3786 [01:18<03:45, 12.89ex/s]

preprocess datasets #1:  24%|██▍       | 904/3786 [01:18<05:37,  8.55ex/s]


preprocess datasets #2:  60%|██████    | 2272/3786 [01:18<00:48, 31.18ex/s]




preprocess datasets #4:  64%|██████▍   | 2419/3785 [01:18<00:45, 29.96ex/s]



preprocess datasets #3:  63%|██████▎   | 2396/3786 [01:18<00:42, 32.46ex/s]

preprocess datasets #1:  24%|██▍       | 905/3786 [01:18<05:50,  8.22ex/s]


preprocess datasets #2:  60%|██████    | 2276/3786 [01:18<00:50, 30.01ex/s]
preprocess datasets #0:  23%|██▎       | 877/3786 [01:18<03:56, 12.30ex/s]



preprocess datasets #3:  63%|██████▎   | 2400/3786 [01:18<00:41, 33.30ex/s]




preprocess datasets #4:  64%|██████▍   | 2423/3785 [01:18<00:51, 26.31ex/s]
preprocess datasets #0:  23%|██▎       | 879/3786 [01:19<03:32, 13.69ex/s]

preprocess datasets #1:  24%|██▍       | 906/3786 [01:19<05:56,  8.08ex/s]



preprocess datasets #3:  64%|██████▎   | 2405/3786 [01:19<00:39, 34.57ex/s]


preprocess datasets #2:  60%|██████    | 2280/3786 [01:19<00:52, 28.64ex/s]




preprocess datasets #4:  64%|██████▍   | 2426/3785 [01:19<00:54, 24.95ex/s]
preprocess datasets #0:  23%|██▎       | 881/3786 [01:19<03:24, 14.19ex/s]

preprocess datasets #1:  24%|██▍       | 908/3786 [01:19<05:03,  9.49ex/s]



preprocess datasets #3:  64%|██████▎   | 2409/3786 [01:19<00:41, 33.32ex/s]


preprocess datasets #2:  60%|██████    | 2284/3786 [01:19<00:52, 28.86ex/s]




preprocess datasets #4:  64%|██████▍   | 2429/3785 [01:19<00:56, 24.08ex/s]
preprocess datasets #0:  23%|██▎       | 883/3786 [01:19<03:21, 14.41ex/s]



preprocess datasets #3:  64%|██████▎   | 2413/3786 [01:19<00:39, 34.69ex/s]


preprocess datasets #2:  60%|██████    | 2289/3786 [01:19<00:47, 31.57ex/s]

preprocess datasets #1:  24%|██▍       | 910/3786 [01:19<04:46, 10.05ex/s]




preprocess datasets #4:  64%|██████▍   | 2432/3785 [01:19<00:53, 25.08ex/s]



preprocess datasets #3:  64%|██████▍   | 2417/3786 [01:19<00:42, 32.56ex/s]
preprocess datasets #0:  23%|██▎       | 885/3786 [01:19<03:35, 13.43ex/s]




preprocess datasets #4:  64%|██████▍   | 2436/3785 [01:19<00:48, 28.02ex/s]


preprocess datasets #2:  61%|██████    | 2293/3786 [01:19<00:52, 28.47ex/s]



preprocess datasets #3:  64%|██████▍   | 2421/3786 [01:19<00:39, 34.41ex/s]

preprocess datasets #1:  24%|██▍       | 912/3786 [01:19<04:47,  9.98ex/s]




preprocess datasets #4:  64%|██████▍   | 2439/3785 [01:19<00:51, 26.11ex/s]
preprocess datasets #0:  23%|██▎       | 887/3786 [01:19<03:56, 12.27ex/s]


preprocess datasets #2:  61%|██████    | 2296/3786 [01:19<00:58, 25.60ex/s]



preprocess datasets #3:  64%|██████▍   | 2425/3786 [01:19<00:44, 30.85ex/s]




preprocess datasets #4:  65%|██████▍   | 2443/3785 [01:19<00:49, 27.33ex/s]


preprocess datasets #2:  61%|██████    | 2299/3786 [01:19<00:59, 25.14ex/s]
preprocess datasets #0:  23%|██▎       | 889/3786 [01:19<03:49, 12.62ex/s]

preprocess datasets #1:  24%|██▍       | 914/3786 [01:19<05:12,  9.20ex/s]




preprocess datasets #4:  65%|██████▍   | 2446/3785 [01:19<00:49, 27.32ex/s]



preprocess datasets #3:  64%|██████▍   | 2429/3786 [01:19<00:50, 27.06ex/s]

preprocess datasets #1:  24%|██▍       | 915/3786 [01:19<05:21,  8.94ex/s]


preprocess datasets #2:  61%|██████    | 2304/3786 [01:19<00:52, 28.12ex/s]
preprocess datasets #0:  24%|██▎       | 891/3786 [01:19<03:40, 13.10ex/s]




preprocess datasets #4:  65%|██████▍   | 2449/3785 [01:19<00:49, 27.25ex/s]



preprocess datasets #3:  64%|██████▍   | 2432/3786 [01:19<00:51, 26.24ex/s]

preprocess datasets #1:  24%|██▍       | 916/3786 [01:20<05:16,  9.06ex/s]


preprocess datasets #2:  61%|██████    | 2310/3786 [01:20<00:42, 35.10ex/s]




preprocess datasets #4:  65%|██████▍   | 2455/3785 [01:20<00:37, 35.65ex/s]
preprocess datasets #0:  24%|██▎       | 893/3786 [01:20<03:29, 13.81ex/s]



preprocess datasets #3:  64%|██████▍   | 2436/3786 [01:20<00:46, 29.01ex/s]

preprocess datasets #1:  24%|██▍       | 917/3786 [01:20<05:10,  9.25ex/s]


preprocess datasets #2:  61%|██████    | 2314/3786 [01:20<00:41, 35.16ex/s]




preprocess datasets #4:  65%|██████▍   | 2459/3785 [01:20<00:37, 34.96ex/s]
preprocess datasets #0:  24%|██▎       | 896/3786 [01:20<03:02, 15.83ex/s]



preprocess datasets #3:  64%|██████▍   | 2441/3786 [01:20<00:40, 33.45ex/s]




preprocess datasets #4:  65%|██████▌   | 2463/3785 [01:20<00:37, 35.11ex/s]


preprocess datasets #2:  61%|██████    | 2318/3786 [01:20<00:45, 31.99ex/s]

preprocess datasets #1:  24%|██▍       | 919/3786 [01:20<04:45, 10.04ex/s]
preprocess datasets #0:  24%|██▎       | 898/3786 [01:20<03:04, 15.68ex/s]



preprocess datasets #3:  65%|██████▍   | 2446/3786 [01:20<00:40, 33.19ex/s]




preprocess datasets #4:  65%|██████▌   | 2467/3785 [01:20<00:38, 33.90ex/s]
preprocess datasets #0:  24%|██▍       | 900/3786 [01:20<03:03, 15.70ex/s]



preprocess datasets #3:  65%|██████▍   | 2450/3786 [01:20<00:40, 33.14ex/s]


preprocess datasets #2:  61%|██████▏   | 2322/3786 [01:20<00:53, 27.18ex/s]

preprocess datasets #1:  24%|██▍       | 921/3786 [01:20<04:48,  9.93ex/s]




preprocess datasets #4:  65%|██████▌   | 2471/3785 [01:20<00:39, 33.01ex/s]



preprocess datasets #3:  65%|██████▍   | 2455/3786 [01:20<00:39, 33.87ex/s]
preprocess datasets #0:  24%|██▍       | 902/3786 [01:20<03:20, 14.35ex/s]


preprocess datasets #2:  61%|██████▏   | 2325/3786 [01:20<00:56, 25.68ex/s]

preprocess datasets #1:  24%|██▍       | 923/3786 [01:20<04:23, 10.87ex/s]




preprocess datasets #4:  65%|██████▌   | 2475/3785 [01:20<00:40, 32.71ex/s]



preprocess datasets #3:  65%|██████▍   | 2459/3786 [01:20<00:40, 33.02ex/s]


preprocess datasets #2:  62%|██████▏   | 2329/3786 [01:20<00:52, 27.66ex/s]




preprocess datasets #4:  66%|██████▌   | 2480/3785 [01:20<00:35, 36.63ex/s]
preprocess datasets #0:  24%|██▍       | 904/3786 [01:20<03:26, 13.97ex/s]

preprocess datasets #1:  24%|██▍       | 925/3786 [01:20<04:36, 10.34ex/s]


preprocess datasets #2:  62%|██████▏   | 2332/3786 [01:20<00:53, 26.95ex/s]



preprocess datasets #3:  65%|██████▌   | 2463/3786 [01:20<00:40, 32.52ex/s]




preprocess datasets #4:  66%|██████▌   | 2484/3785 [01:20<00:37, 34.60ex/s]
preprocess datasets #0:  24%|██▍       | 906/3786 [01:20<03:22, 14.23ex/s]


preprocess datasets #2:  62%|██████▏   | 2336/3786 [01:20<00:52, 27.59ex/s]




preprocess datasets #4:  66%|██████▌   | 2488/3785 [01:20<00:38, 33.71ex/s]



preprocess datasets #3:  65%|██████▌   | 2468/3786 [01:21<00:41, 31.99ex/s]
preprocess datasets #0:  24%|██▍       | 908/3786 [01:21<03:22, 14.20ex/s]

preprocess datasets #1:  24%|██▍       | 927/3786 [01:21<04:42, 10.11ex/s]



preprocess datasets #3:  65%|██████▌   | 2472/3786 [01:21<00:40, 32.80ex/s]


preprocess datasets #2:  62%|██████▏   | 2340/3786 [01:21<00:52, 27.72ex/s]
preprocess datasets #0:  24%|██▍       | 910/3786 [01:21<03:06, 15.42ex/s]




preprocess datasets #4:  66%|██████▌   | 2492/3785 [01:21<00:40, 31.84ex/s]

preprocess datasets #1:  25%|██▍       | 929/3786 [01:21<04:37, 10.29ex/s]



preprocess datasets #3:  65%|██████▌   | 2477/3786 [01:21<00:36, 35.83ex/s]




preprocess datasets #4:  66%|██████▌   | 2497/3785 [01:21<00:37, 34.06ex/s]


preprocess datasets #2:  62%|██████▏   | 2344/3786 [01:21<00:52, 27.52ex/s]
preprocess datasets #0:  24%|██▍       | 912/3786 [01:21<03:14, 14.78ex/s]




preprocess datasets #4:  66%|██████▌   | 2502/3785 [01:21<00:34, 36.99ex/s]



preprocess datasets #3:  66%|██████▌   | 2481/3786 [01:21<00:39, 32.89ex/s]
preprocess datasets #0:  24%|██▍       | 914/3786 [01:21<03:07, 15.31ex/s]


preprocess datasets #2:  62%|██████▏   | 2347/3786 [01:21<00:54, 26.44ex/s]

preprocess datasets #1:  25%|██▍       | 931/3786 [01:21<04:31, 10.51ex/s]



preprocess datasets #3:  66%|██████▌   | 2486/3786 [01:21<00:35, 36.14ex/s]




preprocess datasets #4:  66%|██████▌   | 2506/3785 [01:21<00:37, 33.68ex/s]

preprocess datasets #1:  25%|██▍       | 933/3786 [01:21<04:07, 11.52ex/s]
preprocess datasets #0:  24%|██▍       | 916/3786 [01:21<03:20, 14.30ex/s]


preprocess datasets #2:  62%|██████▏   | 2350/3786 [01:21<01:01, 23.50ex/s]



preprocess datasets #3:  66%|██████▌   | 2491/3786 [01:21<00:33, 38.82ex/s]




preprocess datasets #4:  66%|██████▋   | 2510/3785 [01:21<00:40, 31.18ex/s]
preprocess datasets #0:  24%|██▍       | 918/3786 [01:21<03:15, 14.67ex/s]

preprocess datasets #1:  25%|██▍       | 935/3786 [01:21<03:54, 12.16ex/s]


preprocess datasets #2:  62%|██████▏   | 2353/3786 [01:21<01:02, 23.11ex/s]



preprocess datasets #3:  66%|██████▌   | 2495/3786 [01:21<00:33, 38.56ex/s]


preprocess datasets #2:  62%|██████▏   | 2356/3786 [01:21<00:59, 24.10ex/s]
preprocess datasets #0:  24%|██▍       | 920/3786 [01:21<03:12, 14.88ex/s]




preprocess datasets #4:  66%|██████▋   | 2514/3785 [01:21<00:41, 30.49ex/s]



preprocess datasets #3:  66%|██████▌   | 2499/3786 [01:21<00:34, 37.47ex/s]

preprocess datasets #1:  25%|██▍       | 937/3786 [01:21<04:06, 11.55ex/s]


preprocess datasets #2:  62%|██████▏   | 2360/3786 [01:21<00:52, 27.07ex/s]



preprocess datasets #3:  66%|██████▌   | 2504/3786 [01:21<00:32, 38.87ex/s]
preprocess datasets #0:  24%|██▍       | 922/3786 [01:22<03:16, 14.58ex/s]




preprocess datasets #4:  67%|██████▋   | 2518/3785 [01:21<00:42, 29.65ex/s]


preprocess datasets #2:  62%|██████▏   | 2365/3786 [01:22<00:44, 31.93ex/s]



preprocess datasets #3:  66%|██████▋   | 2509/3786 [01:22<00:31, 40.68ex/s]

preprocess datasets #1:  25%|██▍       | 939/3786 [01:22<04:18, 10.99ex/s]
preprocess datasets #0:  24%|██▍       | 924/3786 [01:22<03:27, 13.79ex/s]


preprocess datasets #2:  63%|██████▎   | 2371/3786 [01:22<00:38, 37.16ex/s]



preprocess datasets #3:  66%|██████▋   | 2514/3786 [01:22<00:32, 39.40ex/s]




preprocess datasets #4:  67%|██████▋   | 2522/3785 [01:22<00:55, 22.95ex/s]
preprocess datasets #0:  24%|██▍       | 926/3786 [01:22<03:22, 14.10ex/s]

preprocess datasets #1:  25%|██▍       | 941/3786 [01:22<04:14, 11.18ex/s]


preprocess datasets #2:  63%|██████▎   | 2375/3786 [01:22<00:38, 36.22ex/s]



preprocess datasets #3:  67%|██████▋   | 2518/3786 [01:22<00:33, 37.55ex/s]




preprocess datasets #4:  67%|██████▋   | 2525/3785 [01:22<00:52, 23.88ex/s]


preprocess datasets #2:  63%|██████▎   | 2379/3786 [01:22<00:38, 36.41ex/s]
preprocess datasets #0:  25%|██▍       | 928/3786 [01:22<03:20, 14.27ex/s]



preprocess datasets #3:  67%|██████▋   | 2523/3786 [01:22<00:31, 39.85ex/s]

preprocess datasets #1:  25%|██▍       | 943/3786 [01:22<04:18, 10.98ex/s]




preprocess datasets #4:  67%|██████▋   | 2529/3785 [01:22<00:49, 25.61ex/s]


preprocess datasets #2:  63%|██████▎   | 2383/3786 [01:22<00:41, 34.02ex/s]



preprocess datasets #3:  67%|██████▋   | 2529/3786 [01:22<00:29, 42.33ex/s]

preprocess datasets #1:  25%|██▍       | 945/3786 [01:22<04:05, 11.58ex/s]




preprocess datasets #4:  67%|██████▋   | 2532/3785 [01:22<00:50, 24.66ex/s]
preprocess datasets #0:  25%|██▍       | 931/3786 [01:22<03:29, 13.60ex/s]


preprocess datasets #2:  63%|██████▎   | 2387/3786 [01:22<00:41, 33.34ex/s]



preprocess datasets #3:  67%|██████▋   | 2534/3786 [01:22<00:30, 41.61ex/s]




preprocess datasets #4:  67%|██████▋   | 2536/3785 [01:22<00:47, 26.51ex/s]
preprocess datasets #0:  25%|██▍       | 933/3786 [01:22<03:21, 14.17ex/s]


preprocess datasets #2:  63%|██████▎   | 2391/3786 [01:22<00:43, 32.15ex/s]



preprocess datasets #3:  67%|██████▋   | 2541/3786 [01:22<00:26, 46.37ex/s]

preprocess datasets #1:  25%|██▌       | 947/3786 [01:22<04:35, 10.31ex/s]




preprocess datasets #4:  67%|██████▋   | 2539/3785 [01:22<00:47, 26.16ex/s]
preprocess datasets #0:  25%|██▍       | 935/3786 [01:22<03:11, 14.85ex/s]


preprocess datasets #2:  63%|██████▎   | 2395/3786 [01:22<00:45, 30.66ex/s]



preprocess datasets #3:  67%|██████▋   | 2546/3786 [01:22<00:29, 41.63ex/s]

preprocess datasets #1:  25%|██▌       | 949/3786 [01:23<04:13, 11.21ex/s]




preprocess datasets #4:  67%|██████▋   | 2542/3785 [01:22<00:51, 24.20ex/s]


preprocess datasets #2:  63%|██████▎   | 2399/3786 [01:23<00:42, 32.37ex/s]

preprocess datasets #1:  25%|██▌       | 951/3786 [01:23<03:52, 12.17ex/s]
preprocess datasets #0:  25%|██▍       | 937/3786 [01:23<04:00, 11.85ex/s]



preprocess datasets #3:  67%|██████▋   | 2551/3786 [01:23<00:36, 33.82ex/s]




preprocess datasets #4:  67%|██████▋   | 2546/3785 [01:23<00:51, 24.23ex/s]


preprocess datasets #2:  63%|██████▎   | 2403/3786 [01:23<00:45, 30.22ex/s]

preprocess datasets #1:  25%|██▌       | 953/3786 [01:23<03:28, 13.60ex/s]



preprocess datasets #3:  67%|██████▋   | 2555/3786 [01:23<00:36, 34.14ex/s]
preprocess datasets #0:  25%|██▍       | 939/3786 [01:23<04:02, 11.76ex/s]


preprocess datasets #2:  64%|██████▎   | 2407/3786 [01:23<00:44, 30.80ex/s]




preprocess datasets #4:  67%|██████▋   | 2549/3785 [01:23<00:55, 22.32ex/s]

preprocess datasets #1:  25%|██▌       | 955/3786 [01:23<03:14, 14.52ex/s]



preprocess datasets #3:  68%|██████▊   | 2560/3786 [01:23<00:34, 35.05ex/s]
preprocess datasets #0:  25%|██▍       | 941/3786 [01:23<03:47, 12.51ex/s]


preprocess datasets #2:  64%|██████▎   | 2411/3786 [01:23<00:44, 30.82ex/s]

preprocess datasets #1:  25%|██▌       | 957/3786 [01:23<03:08, 15.00ex/s]




preprocess datasets #4:  67%|██████▋   | 2552/3785 [01:23<01:00, 20.27ex/s]



preprocess datasets #3:  68%|██████▊   | 2564/3786 [01:23<00:34, 35.66ex/s]

preprocess datasets #1:  25%|██▌       | 959/3786 [01:23<03:16, 14.39ex/s]
preprocess datasets #0:  25%|██▍       | 943/3786 [01:23<03:57, 11.96ex/s]


preprocess datasets #2:  64%|██████▍   | 2415/3786 [01:23<00:51, 26.50ex/s]



preprocess datasets #3:  68%|██████▊   | 2568/3786 [01:23<00:35, 34.11ex/s]




preprocess datasets #4:  68%|██████▊   | 2555/3785 [01:23<01:05, 18.74ex/s]

preprocess datasets #1:  25%|██▌       | 961/3786 [01:23<03:17, 14.33ex/s]


preprocess datasets #2:  64%|██████▍   | 2418/3786 [01:23<00:54, 25.22ex/s]
preprocess datasets #0:  25%|██▍       | 945/3786 [01:23<03:57, 11.98ex/s]




preprocess datasets #4:  68%|██████▊   | 2558/3785 [01:23<00:58, 20.98ex/s]



preprocess datasets #3:  68%|██████▊   | 2572/3786 [01:23<00:40, 29.62ex/s]
preprocess datasets #0:  25%|██▌       | 947/3786 [01:23<03:41, 12.85ex/s]




preprocess datasets #4:  68%|██████▊   | 2562/3785 [01:23<00:50, 24.18ex/s]


preprocess datasets #2:  64%|██████▍   | 2421/3786 [01:23<00:58, 23.36ex/s]



preprocess datasets #3:  68%|██████▊   | 2576/3786 [01:23<00:40, 29.91ex/s]




preprocess datasets #4:  68%|██████▊   | 2567/3785 [01:24<00:40, 30.15ex/s]
preprocess datasets #0:  25%|██▌       | 949/3786 [01:24<03:33, 13.28ex/s]


preprocess datasets #2:  64%|██████▍   | 2424/3786 [01:24<00:59, 22.73ex/s]



preprocess datasets #3:  68%|██████▊   | 2581/3786 [01:24<00:36, 33.07ex/s]

preprocess datasets #1:  25%|██▌       | 963/3786 [01:24<04:41, 10.02ex/s]




preprocess datasets #4:  68%|██████▊   | 2571/3785 [01:24<00:40, 30.25ex/s]



preprocess datasets #3:  68%|██████▊   | 2585/3786 [01:24<00:34, 34.70ex/s]
preprocess datasets #0:  25%|██▌       | 951/3786 [01:24<03:33, 13.31ex/s]


preprocess datasets #2:  64%|██████▍   | 2427/3786 [01:24<01:00, 22.59ex/s]

preprocess datasets #1:  26%|██▌       | 966/3786 [01:24<03:54, 12.03ex/s]



preprocess datasets #3:  68%|██████▊   | 2589/3786 [01:24<00:37, 31.92ex/s]




preprocess datasets #4:  68%|██████▊   | 2575/3785 [01:24<00:44, 27.43ex/s]


preprocess datasets #2:  64%|██████▍   | 2431/3786 [01:24<00:57, 23.71ex/s]

preprocess datasets #1:  26%|██▌       | 968/3786 [01:24<03:40, 12.76ex/s]
preprocess datasets #0:  25%|██▌       | 953/3786 [01:24<03:54, 12.11ex/s]



preprocess datasets #3:  68%|██████▊   | 2593/3786 [01:24<00:35, 33.41ex/s]




preprocess datasets #4:  68%|██████▊   | 2581/3785 [01:24<00:36, 33.05ex/s]


preprocess datasets #2:  64%|██████▍   | 2435/3786 [01:24<00:53, 25.19ex/s]



preprocess datasets #3:  69%|██████▊   | 2598/3786 [01:24<00:32, 36.35ex/s]

preprocess datasets #1:  26%|██▌       | 970/3786 [01:24<03:40, 12.79ex/s]
preprocess datasets #0:  25%|██▌       | 955/3786 [01:24<03:47, 12.43ex/s]


preprocess datasets #2:  64%|██████▍   | 2438/3786 [01:24<00:57, 23.45ex/s]



preprocess datasets #3:  69%|██████▊   | 2602/3786 [01:24<00:34, 34.80ex/s]
preprocess datasets #0:  25%|██▌       | 957/3786 [01:24<03:34, 13.18ex/s]




preprocess datasets #4:  68%|██████▊   | 2585/3785 [01:24<00:45, 26.65ex/s]

preprocess datasets #1:  26%|██▌       | 972/3786 [01:24<03:31, 13.29ex/s]


preprocess datasets #2:  64%|██████▍   | 2441/3786 [01:24<00:57, 23.23ex/s]



preprocess datasets #3:  69%|██████▉   | 2609/3786 [01:24<00:27, 42.34ex/s]




preprocess datasets #4:  68%|██████▊   | 2588/3785 [01:24<00:45, 26.20ex/s]
preprocess datasets #0:  25%|██▌       | 959/3786 [01:24<03:33, 13.22ex/s]

preprocess datasets #1:  26%|██▌       | 974/3786 [01:24<03:41, 12.71ex/s]


preprocess datasets #2:  65%|██████▍   | 2445/3786 [01:24<00:50, 26.54ex/s]



preprocess datasets #3:  69%|██████▉   | 2614/3786 [01:24<00:29, 39.28ex/s]




preprocess datasets #4:  68%|██████▊   | 2591/3785 [01:24<00:48, 24.83ex/s]
preprocess datasets #0:  25%|██▌       | 961/3786 [01:25<03:24, 13.79ex/s]


preprocess datasets #2:  65%|██████▍   | 2449/3786 [01:25<00:45, 29.57ex/s]



preprocess datasets #3:  69%|██████▉   | 2619/3786 [01:25<00:29, 39.40ex/s]

preprocess datasets #1:  26%|██▌       | 976/3786 [01:25<04:10, 11.24ex/s]
preprocess datasets #0:  25%|██▌       | 963/3786 [01:25<03:16, 14.33ex/s]




preprocess datasets #4:  69%|██████▊   | 2594/3785 [01:25<00:50, 23.47ex/s]


preprocess datasets #2:  65%|██████▍   | 2453/3786 [01:25<00:42, 31.11ex/s]




preprocess datasets #4:  69%|██████▊   | 2598/3785 [01:25<00:44, 26.76ex/s]



preprocess datasets #3:  69%|██████▉   | 2624/3786 [01:25<00:30, 37.87ex/s]

preprocess datasets #1:  26%|██▌       | 979/3786 [01:25<03:19, 14.07ex/s]


preprocess datasets #2:  65%|██████▍   | 2459/3786 [01:25<00:34, 38.37ex/s]
preprocess datasets #0:  25%|██▌       | 965/3786 [01:25<03:24, 13.78ex/s]




preprocess datasets #4:  69%|██████▊   | 2601/3785 [01:25<00:45, 25.94ex/s]



preprocess datasets #3:  69%|██████▉   | 2630/3786 [01:25<00:28, 40.32ex/s]


preprocess datasets #2:  65%|██████▌   | 2464/3786 [01:25<00:35, 36.95ex/s]
preprocess datasets #0:  26%|██▌       | 967/3786 [01:25<03:15, 14.41ex/s]




preprocess datasets #4:  69%|██████▉   | 2606/3785 [01:25<00:39, 29.85ex/s]

preprocess datasets #1:  26%|██▌       | 981/3786 [01:25<04:03, 11.50ex/s]


preprocess datasets #2:  65%|██████▌   | 2468/3786 [01:25<00:36, 36.17ex/s]
preprocess datasets #0:  26%|██▌       | 969/3786 [01:25<03:22, 13.88ex/s]



preprocess datasets #3:  70%|██████▉   | 2635/3786 [01:25<00:37, 30.59ex/s]




preprocess datasets #4:  69%|██████▉   | 2610/3785 [01:25<00:43, 27.00ex/s]

preprocess datasets #1:  26%|██▌       | 983/3786 [01:25<04:00, 11.67ex/s]


preprocess datasets #2:  65%|██████▌   | 2472/3786 [01:25<00:42, 30.67ex/s]
preprocess datasets #0:  26%|██▌       | 972/3786 [01:25<03:06, 15.06ex/s]




preprocess datasets #4:  69%|██████▉   | 2613/3785 [01:25<00:46, 25.19ex/s]



preprocess datasets #3:  70%|██████▉   | 2639/3786 [01:25<00:42, 26.88ex/s]


preprocess datasets #2:  65%|██████▌   | 2476/3786 [01:25<00:46, 28.19ex/s]
preprocess datasets #0:  26%|██▌       | 974/3786 [01:25<03:17, 14.22ex/s]

preprocess datasets #1:  26%|██▌       | 985/3786 [01:25<04:29, 10.38ex/s]




preprocess datasets #4:  69%|██████▉   | 2616/3785 [01:25<00:50, 23.32ex/s]



preprocess datasets #3:  70%|██████▉   | 2642/3786 [01:25<00:44, 25.77ex/s]


preprocess datasets #2:  66%|██████▌   | 2480/3786 [01:26<00:47, 27.51ex/s]
preprocess datasets #0:  26%|██▌       | 976/3786 [01:26<03:35, 13.06ex/s]



preprocess datasets #3:  70%|██████▉   | 2646/3786 [01:26<00:40, 28.03ex/s]




preprocess datasets #4:  69%|██████▉   | 2619/3785 [01:26<00:51, 22.45ex/s]

preprocess datasets #1:  26%|██▌       | 987/3786 [01:26<04:30, 10.33ex/s]


preprocess datasets #2:  66%|██████▌   | 2483/3786 [01:26<00:47, 27.18ex/s]




preprocess datasets #4:  69%|██████▉   | 2624/3785 [01:26<00:41, 28.05ex/s]
preprocess datasets #0:  26%|██▌       | 978/3786 [01:26<03:31, 13.28ex/s]



preprocess datasets #3:  70%|██████▉   | 2650/3786 [01:26<00:42, 26.49ex/s]


preprocess datasets #2:  66%|██████▌   | 2488/3786 [01:26<00:42, 30.64ex/s]



preprocess datasets #3:  70%|███████   | 2653/3786 [01:26<00:41, 27.09ex/s]




preprocess datasets #4:  69%|██████▉   | 2629/3785 [01:26<00:37, 30.46ex/s]

preprocess datasets #1:  26%|██▌       | 989/3786 [01:26<04:53,  9.53ex/s]


preprocess datasets #2:  66%|██████▌   | 2492/3786 [01:26<00:41, 30.99ex/s]
preprocess datasets #0:  26%|██▌       | 980/3786 [01:26<03:39, 12.80ex/s]



preprocess datasets #3:  70%|███████   | 2657/3786 [01:26<00:39, 28.75ex/s]


preprocess datasets #2:  66%|██████▌   | 2496/3786 [01:26<00:40, 32.04ex/s]




preprocess datasets #4:  70%|██████▉   | 2633/3785 [01:26<00:39, 29.05ex/s]
preprocess datasets #0:  26%|██▌       | 982/3786 [01:26<03:27, 13.49ex/s]



preprocess datasets #3:  70%|███████   | 2661/3786 [01:26<00:36, 30.99ex/s]

preprocess datasets #1:  26%|██▌       | 991/3786 [01:26<05:10,  9.01ex/s]




preprocess datasets #4:  70%|██████▉   | 2637/3785 [01:26<00:38, 30.03ex/s]


preprocess datasets #2:  66%|██████▌   | 2500/3786 [01:26<00:44, 28.58ex/s]
preprocess datasets #0:  26%|██▌       | 984/3786 [01:26<03:38, 12.85ex/s]



preprocess datasets #3:  70%|███████   | 2665/3786 [01:26<00:35, 31.62ex/s]




preprocess datasets #4:  70%|██████▉   | 2641/3785 [01:26<00:38, 29.62ex/s]


preprocess datasets #2:  66%|██████▌   | 2503/3786 [01:26<00:45, 27.99ex/s]
preprocess datasets #0:  26%|██▌       | 986/3786 [01:26<03:25, 13.60ex/s]

preprocess datasets #1:  26%|██▌       | 993/3786 [01:26<05:09,  9.02ex/s]



preprocess datasets #3:  70%|███████   | 2669/3786 [01:26<00:37, 29.70ex/s]




preprocess datasets #4:  70%|██████▉   | 2645/3785 [01:26<00:39, 29.01ex/s]


preprocess datasets #2:  66%|██████▌   | 2506/3786 [01:26<00:50, 25.38ex/s]

preprocess datasets #1:  26%|██▋       | 995/3786 [01:26<04:29, 10.37ex/s]
preprocess datasets #0:  26%|██▌       | 988/3786 [01:26<03:27, 13.47ex/s]



preprocess datasets #3:  71%|███████   | 2673/3786 [01:26<00:38, 29.21ex/s]




preprocess datasets #4:  70%|███████   | 2650/3785 [01:26<00:33, 33.50ex/s]


preprocess datasets #2:  66%|██████▋   | 2510/3786 [01:27<00:45, 27.78ex/s]



preprocess datasets #3:  71%|███████   | 2676/3786 [01:27<00:37, 29.36ex/s]
preprocess datasets #0:  26%|██▌       | 990/3786 [01:27<03:22, 13.82ex/s]




preprocess datasets #4:  70%|███████   | 2654/3785 [01:27<00:34, 32.90ex/s]


preprocess datasets #2:  66%|██████▋   | 2513/3786 [01:27<00:48, 26.50ex/s]

preprocess datasets #1:  26%|██▋       | 997/3786 [01:27<04:47,  9.72ex/s]
preprocess datasets #0:  26%|██▌       | 992/3786 [01:27<03:23, 13.72ex/s]




preprocess datasets #4:  70%|███████   | 2658/3785 [01:27<00:33, 33.94ex/s]



preprocess datasets #3:  71%|███████   | 2679/3786 [01:27<00:44, 24.60ex/s]


preprocess datasets #2:  66%|██████▋   | 2517/3786 [01:27<00:43, 28.96ex/s]

preprocess datasets #1:  26%|██▋       | 999/3786 [01:27<04:24, 10.54ex/s]



preprocess datasets #3:  71%|███████   | 2684/3786 [01:27<00:37, 29.68ex/s]




preprocess datasets #4:  70%|███████   | 2662/3785 [01:27<00:34, 32.34ex/s]


preprocess datasets #2:  67%|██████▋   | 2522/3786 [01:27<00:37, 33.90ex/s]
preprocess datasets #0:  26%|██▋       | 994/3786 [01:27<03:26, 13.52ex/s]




preprocess datasets #4:  70%|███████   | 2667/3785 [01:27<00:31, 35.86ex/s]


preprocess datasets #2:  67%|██████▋   | 2527/3786 [01:27<00:34, 36.02ex/s]



preprocess datasets #3:  71%|███████   | 2688/3786 [01:27<00:38, 28.22ex/s]
preprocess datasets #0:  26%|██▋       | 996/3786 [01:27<03:26, 13.51ex/s]




preprocess datasets #4:  71%|███████   | 2671/3785 [01:27<00:32, 33.97ex/s]



preprocess datasets #3:  71%|███████   | 2691/3786 [01:27<00:38, 28.25ex/s]


preprocess datasets #2:  67%|██████▋   | 2531/3786 [01:27<00:36, 34.06ex/s]
preprocess datasets #0:  26%|██▋       | 998/3786 [01:27<03:14, 14.37ex/s]



preprocess datasets #3:  71%|███████   | 2695/3786 [01:27<00:37, 28.79ex/s]


preprocess datasets #2:  67%|██████▋   | 2535/3786 [01:27<00:39, 31.79ex/s]




preprocess datasets #4:  71%|███████   | 2675/3785 [01:27<00:36, 30.22ex/s]



preprocess datasets #3:  71%|███████▏  | 2699/3786 [01:27<00:36, 29.92ex/s]


preprocess datasets #2:  67%|██████▋   | 2539/3786 [01:27<00:41, 30.37ex/s]




preprocess datasets #4:  71%|███████   | 2679/3785 [01:27<00:37, 29.68ex/s]



preprocess datasets #3:  71%|███████▏  | 2703/3786 [01:27<00:35, 30.81ex/s]




preprocess datasets #4:  71%|███████   | 2683/3785 [01:28<00:36, 29.86ex/s]


preprocess datasets #2:  67%|██████▋   | 2543/3786 [01:28<00:42, 29.02ex/s]



preprocess datasets #3:  72%|███████▏  | 2707/3786 [01:28<00:33, 32.25ex/s]




preprocess datasets #4:  71%|███████   | 2688/3785 [01:28<00:32, 33.39ex/s]


preprocess datasets #2:  67%|██████▋   | 2546/3786 [01:28<00:42, 28.98ex/s]

preprocess datasets #1:  26%|██▋       | 1001/3786 [01:28<09:22,  4.95ex/s]



preprocess datasets #3:  72%|███████▏  | 2711/3786 [01:28<00:32, 33.03ex/s]


preprocess datasets #2:  67%|██████▋   | 2550/3786 [01:28<00:41, 29.96ex/s]

preprocess datasets #1:  26%|██▋       | 1003/3786 [01:28<07:24,  6.26ex/s]



preprocess datasets #3:  72%|███████▏  | 2715/3786 [01:28<00:32, 32.76ex/s]




preprocess datasets #4:  71%|███████   | 2692/3785 [01:28<00:38, 28.64ex/s]



preprocess datasets #3:  72%|███████▏  | 2719/3786 [01:28<00:31, 34.13ex/s]


preprocess datasets #2:  67%|██████▋   | 2554/3786 [01:28<00:46, 26.44ex/s]




preprocess datasets #4:  71%|███████   | 2696/3785 [01:28<00:39, 27.41ex/s]

preprocess datasets #1:  27%|██▋       | 1005/3786 [01:28<06:27,  7.18ex/s]
preprocess datasets #0:  26%|██▋       | 1000/3786 [01:28<08:34,  5.42ex/s]



preprocess datasets #3:  72%|███████▏  | 2723/3786 [01:28<00:34, 30.57ex/s]


preprocess datasets #2:  68%|██████▊   | 2557/3786 [01:28<00:51, 23.98ex/s]




preprocess datasets #4:  71%|███████▏  | 2700/3785 [01:28<00:39, 27.55ex/s]

preprocess datasets #1:  27%|██▋       | 1007/3786 [01:28<05:32,  8.36ex/s]



preprocess datasets #3:  72%|███████▏  | 2727/3786 [01:28<00:34, 30.70ex/s]
preprocess datasets #0:  26%|██▋       | 1002/3786 [01:28<07:25,  6.24ex/s]


preprocess datasets #2:  68%|██████▊   | 2560/3786 [01:28<00:51, 23.62ex/s]




preprocess datasets #4:  71%|███████▏  | 2704/3785 [01:28<00:37, 28.88ex/s]



preprocess datasets #3:  72%|███████▏  | 2731/3786 [01:28<00:35, 29.86ex/s]

preprocess datasets #1:  27%|██▋       | 1009/3786 [01:28<05:21,  8.63ex/s]
preprocess datasets #0:  27%|██▋       | 1004/3786 [01:28<06:07,  7.57ex/s]


preprocess datasets #2:  68%|██████▊   | 2565/3786 [01:28<00:43, 28.02ex/s]




preprocess datasets #4:  72%|███████▏  | 2708/3785 [01:28<00:36, 29.61ex/s]

preprocess datasets #1:  27%|██▋       | 1011/3786 [01:29<04:39,  9.91ex/s]


preprocess datasets #2:  68%|██████▊   | 2568/3786 [01:29<00:45, 26.87ex/s]



preprocess datasets #3:  72%|███████▏  | 2737/3786 [01:29<00:32, 32.75ex/s]




preprocess datasets #4:  72%|███████▏  | 2712/3785 [01:29<00:37, 28.88ex/s]
preprocess datasets #0:  27%|██▋       | 1006/3786 [01:29<05:31,  8.39ex/s]

preprocess datasets #1:  27%|██▋       | 1013/3786 [01:29<04:05, 11.29ex/s]




preprocess datasets #4:  72%|███████▏  | 2717/3785 [01:29<00:32, 32.65ex/s]



preprocess datasets #3:  72%|███████▏  | 2741/3786 [01:29<00:33, 31.54ex/s]


preprocess datasets #2:  68%|██████▊   | 2572/3786 [01:29<00:46, 26.33ex/s]
preprocess datasets #0:  27%|██▋       | 1008/3786 [01:29<05:17,  8.74ex/s]




preprocess datasets #4:  72%|███████▏  | 2721/3785 [01:29<00:31, 33.34ex/s]

preprocess datasets #1:  27%|██▋       | 1016/3786 [01:29<03:23, 13.61ex/s]



preprocess datasets #3:  73%|███████▎  | 2745/3786 [01:29<00:36, 28.68ex/s]


preprocess datasets #2:  68%|██████▊   | 2575/3786 [01:29<00:54, 22.05ex/s]

preprocess datasets #1:  27%|██▋       | 1018/3786 [01:29<03:07, 14.77ex/s]




preprocess datasets #4:  72%|███████▏  | 2725/3785 [01:29<00:33, 31.29ex/s]
preprocess datasets #0:  27%|██▋       | 1010/3786 [01:29<04:50,  9.56ex/s]



preprocess datasets #3:  73%|███████▎  | 2748/3786 [01:29<00:37, 27.49ex/s]


preprocess datasets #2:  68%|██████▊   | 2578/3786 [01:29<00:51, 23.45ex/s]

preprocess datasets #1:  27%|██▋       | 1020/3786 [01:29<03:08, 14.68ex/s]


preprocess datasets #2:  68%|██████▊   | 2581/3786 [01:29<00:48, 24.85ex/s]



preprocess datasets #3:  73%|███████▎  | 2753/3786 [01:29<00:32, 31.35ex/s]
preprocess datasets #0:  27%|██▋       | 1012/3786 [01:29<04:41,  9.86ex/s]




preprocess datasets #4:  72%|███████▏  | 2729/3785 [01:29<00:39, 26.41ex/s]

preprocess datasets #1:  27%|██▋       | 1022/3786 [01:29<03:13, 14.32ex/s]



preprocess datasets #3:  73%|███████▎  | 2757/3786 [01:29<00:31, 32.38ex/s]


preprocess datasets #2:  68%|██████▊   | 2584/3786 [01:29<00:51, 23.50ex/s]




preprocess datasets #4:  72%|███████▏  | 2732/3785 [01:29<00:42, 24.79ex/s]
preprocess datasets #0:  27%|██▋       | 1014/3786 [01:29<04:29, 10.27ex/s]

preprocess datasets #1:  27%|██▋       | 1024/3786 [01:29<03:23, 13.60ex/s]


preprocess datasets #2:  68%|██████▊   | 2587/3786 [01:29<00:50, 23.66ex/s]



preprocess datasets #3:  73%|███████▎  | 2761/3786 [01:29<00:34, 30.09ex/s]




preprocess datasets #4:  72%|███████▏  | 2735/3785 [01:29<00:40, 25.78ex/s]

preprocess datasets #1:  27%|██▋       | 1026/3786 [01:29<03:09, 14.59ex/s]



preprocess datasets #3:  73%|███████▎  | 2766/3786 [01:30<00:32, 31.79ex/s]




preprocess datasets #4:  72%|███████▏  | 2741/3785 [01:30<00:33, 31.56ex/s]
preprocess datasets #0:  27%|██▋       | 1016/3786 [01:30<04:39,  9.90ex/s]


preprocess datasets #2:  68%|██████▊   | 2592/3786 [01:30<00:45, 26.52ex/s]



preprocess datasets #3:  73%|███████▎  | 2770/3786 [01:30<00:30, 33.65ex/s]




preprocess datasets #4:  73%|███████▎  | 2745/3785 [01:30<00:34, 30.37ex/s]


preprocess datasets #2:  69%|██████▊   | 2595/3786 [01:30<00:49, 24.19ex/s]
preprocess datasets #0:  27%|██▋       | 1018/3786 [01:30<04:20, 10.62ex/s]

preprocess datasets #1:  27%|██▋       | 1028/3786 [01:30<03:44, 12.31ex/s]



preprocess datasets #3:  73%|███████▎  | 2774/3786 [01:30<00:31, 31.94ex/s]


preprocess datasets #2:  69%|██████▊   | 2598/3786 [01:30<00:48, 24.32ex/s]

preprocess datasets #1:  27%|██▋       | 1030/3786 [01:30<03:35, 12.77ex/s]
preprocess datasets #0:  27%|██▋       | 1020/3786 [01:30<04:15, 10.83ex/s]




preprocess datasets #4:  73%|███████▎  | 2749/3785 [01:30<00:39, 26.20ex/s]



preprocess datasets #3:  73%|███████▎  | 2778/3786 [01:30<00:31, 32.00ex/s]


preprocess datasets #2:  69%|██████▊   | 2601/3786 [01:30<00:51, 23.19ex/s]

preprocess datasets #1:  27%|██▋       | 1032/3786 [01:30<03:42, 12.36ex/s]



preprocess datasets #3:  74%|███████▎  | 2783/3786 [01:30<00:29, 33.85ex/s]
preprocess datasets #0:  27%|██▋       | 1022/3786 [01:30<04:05, 11.24ex/s]




preprocess datasets #4:  73%|███████▎  | 2752/3785 [01:30<00:42, 24.15ex/s]


preprocess datasets #2:  69%|██████▉   | 2605/3786 [01:30<00:46, 25.53ex/s]



preprocess datasets #3:  74%|███████▎  | 2787/3786 [01:30<00:30, 33.10ex/s]




preprocess datasets #4:  73%|███████▎  | 2755/3785 [01:30<00:44, 23.39ex/s]

preprocess datasets #1:  27%|██▋       | 1034/3786 [01:30<03:46, 12.15ex/s]
preprocess datasets #0:  27%|██▋       | 1024/3786 [01:30<04:12, 10.94ex/s]


preprocess datasets #2:  69%|██████▉   | 2608/3786 [01:30<00:49, 23.85ex/s]




preprocess datasets #4:  73%|███████▎  | 2758/3785 [01:30<00:41, 24.74ex/s]



preprocess datasets #3:  74%|███████▎  | 2791/3786 [01:30<00:31, 31.90ex/s]


preprocess datasets #2:  69%|██████▉   | 2611/3786 [01:30<00:48, 24.47ex/s]
preprocess datasets #0:  27%|██▋       | 1026/3786 [01:30<04:03, 11.36ex/s]

preprocess datasets #1:  27%|██▋       | 1036/3786 [01:30<04:01, 11.40ex/s]



preprocess datasets #3:  74%|███████▍  | 2796/3786 [01:30<00:28, 35.34ex/s]




preprocess datasets #4:  73%|███████▎  | 2763/3785 [01:30<00:34, 29.44ex/s]


preprocess datasets #2:  69%|██████▉   | 2616/3786 [01:30<00:40, 28.56ex/s]



preprocess datasets #3:  74%|███████▍  | 2800/3786 [01:30<00:27, 35.72ex/s]

preprocess datasets #1:  27%|██▋       | 1038/3786 [01:31<03:50, 11.90ex/s]




preprocess datasets #4:  73%|███████▎  | 2767/3785 [01:31<00:37, 26.97ex/s]


preprocess datasets #2:  69%|██████▉   | 2620/3786 [01:31<00:38, 30.50ex/s]
preprocess datasets #0:  27%|██▋       | 1028/3786 [01:31<04:21, 10.55ex/s]



preprocess datasets #3:  74%|███████▍  | 2804/3786 [01:31<00:29, 33.78ex/s]

preprocess datasets #1:  27%|██▋       | 1040/3786 [01:31<03:34, 12.79ex/s]




preprocess datasets #4:  73%|███████▎  | 2771/3785 [01:31<00:35, 28.67ex/s]


preprocess datasets #2:  69%|██████▉   | 2624/3786 [01:31<00:40, 28.58ex/s]



preprocess datasets #3:  74%|███████▍  | 2808/3786 [01:31<00:28, 33.98ex/s]

preprocess datasets #1:  28%|██▊       | 1042/3786 [01:31<03:21, 13.61ex/s]




preprocess datasets #4:  73%|███████▎  | 2774/3785 [01:31<00:35, 28.32ex/s]


preprocess datasets #2:  69%|██████▉   | 2628/3786 [01:31<00:38, 29.75ex/s]
preprocess datasets #0:  27%|██▋       | 1030/3786 [01:31<04:54,  9.37ex/s]



preprocess datasets #3:  74%|███████▍  | 2812/3786 [01:31<00:30, 32.25ex/s]




preprocess datasets #4:  73%|███████▎  | 2778/3785 [01:31<00:32, 31.20ex/s]


preprocess datasets #2:  70%|██████▉   | 2632/3786 [01:31<00:37, 31.10ex/s]
preprocess datasets #0:  27%|██▋       | 1031/3786 [01:31<05:01,  9.13ex/s]




preprocess datasets #4:  74%|███████▎  | 2782/3785 [01:31<00:33, 29.96ex/s]



preprocess datasets #3:  74%|███████▍  | 2816/3786 [01:31<00:32, 29.76ex/s]

preprocess datasets #1:  28%|██▊       | 1044/3786 [01:31<04:10, 10.93ex/s]


preprocess datasets #2:  70%|██████▉   | 2636/3786 [01:31<00:35, 32.83ex/s]



preprocess datasets #3:  74%|███████▍  | 2820/3786 [01:31<00:31, 30.92ex/s]
preprocess datasets #0:  27%|██▋       | 1033/3786 [01:31<04:40,  9.83ex/s]




preprocess datasets #4:  74%|███████▎  | 2786/3785 [01:31<00:32, 30.74ex/s]


preprocess datasets #2:  70%|██████▉   | 2640/3786 [01:31<00:34, 33.42ex/s]

preprocess datasets #1:  28%|██▊       | 1046/3786 [01:31<04:18, 10.61ex/s]




preprocess datasets #4:  74%|███████▍  | 2793/3785 [01:31<00:26, 38.12ex/s]
preprocess datasets #0:  27%|██▋       | 1034/3786 [01:31<04:54,  9.33ex/s]



preprocess datasets #3:  75%|███████▍  | 2824/3786 [01:31<00:33, 28.80ex/s]


preprocess datasets #2:  70%|██████▉   | 2644/3786 [01:31<00:38, 29.78ex/s]

preprocess datasets #1:  28%|██▊       | 1048/3786 [01:31<03:56, 11.57ex/s]




preprocess datasets #4:  74%|███████▍  | 2798/3785 [01:31<00:27, 36.16ex/s]



preprocess datasets #3:  75%|███████▍  | 2827/3786 [01:31<00:35, 27.40ex/s]
preprocess datasets #0:  27%|██▋       | 1036/3786 [01:32<04:32, 10.08ex/s]


preprocess datasets #2:  70%|██████▉   | 2648/3786 [01:32<00:39, 28.46ex/s]

preprocess datasets #1:  28%|██▊       | 1050/3786 [01:32<03:49, 11.91ex/s]




preprocess datasets #4:  74%|███████▍  | 2803/3785 [01:32<00:25, 38.20ex/s]



preprocess datasets #3:  75%|███████▍  | 2831/3786 [01:32<00:32, 29.08ex/s]


preprocess datasets #2:  70%|███████   | 2651/3786 [01:32<00:41, 27.13ex/s]
preprocess datasets #0:  27%|██▋       | 1038/3786 [01:32<04:33, 10.06ex/s]



preprocess datasets #3:  75%|███████▍  | 2834/3786 [01:32<00:33, 28.59ex/s]




preprocess datasets #4:  74%|███████▍  | 2807/3785 [01:32<00:27, 35.51ex/s]

preprocess datasets #1:  28%|██▊       | 1052/3786 [01:32<03:50, 11.88ex/s]


preprocess datasets #2:  70%|███████   | 2654/3786 [01:32<00:41, 27.11ex/s]



preprocess datasets #3:  75%|███████▍  | 2837/3786 [01:32<00:35, 26.47ex/s]




preprocess datasets #4:  74%|███████▍  | 2811/3785 [01:32<00:28, 34.65ex/s]

preprocess datasets #1:  28%|██▊       | 1054/3786 [01:32<03:34, 12.76ex/s]
preprocess datasets #0:  27%|██▋       | 1040/3786 [01:32<04:25, 10.34ex/s]


preprocess datasets #2:  70%|███████   | 2658/3786 [01:32<00:41, 27.45ex/s]




preprocess datasets #4:  74%|███████▍  | 2815/3785 [01:32<00:27, 34.79ex/s]



preprocess datasets #3:  75%|███████▌  | 2840/3786 [01:32<00:36, 26.05ex/s]

preprocess datasets #1:  28%|██▊       | 1056/3786 [01:32<03:57, 11.50ex/s]
preprocess datasets #0:  28%|██▊       | 1042/3786 [01:32<04:34, 10.00ex/s]


preprocess datasets #2:  70%|███████   | 2661/3786 [01:32<00:46, 24.38ex/s]



preprocess datasets #3:  75%|███████▌  | 2843/3786 [01:32<00:39, 23.58ex/s]




preprocess datasets #4:  74%|███████▍  | 2819/3785 [01:32<00:31, 30.97ex/s]

preprocess datasets #1:  28%|██▊       | 1058/3786 [01:32<03:44, 12.18ex/s]




preprocess datasets #4:  75%|███████▍  | 2824/3785 [01:32<00:27, 34.46ex/s]


preprocess datasets #2:  70%|███████   | 2664/3786 [01:32<00:48, 22.96ex/s]



preprocess datasets #3:  75%|███████▌  | 2846/3786 [01:32<00:39, 23.90ex/s]
preprocess datasets #0:  28%|██▊       | 1044/3786 [01:32<04:33, 10.04ex/s]




preprocess datasets #4:  75%|███████▍  | 2829/3785 [01:32<00:25, 37.35ex/s]

preprocess datasets #1:  28%|██▊       | 1060/3786 [01:32<03:33, 12.76ex/s]



preprocess datasets #3:  75%|███████▌  | 2852/3786 [01:32<00:30, 30.46ex/s]


preprocess datasets #2:  70%|███████   | 2667/3786 [01:32<00:51, 21.78ex/s]



preprocess datasets #3:  75%|███████▌  | 2858/3786 [01:32<00:25, 36.76ex/s]




preprocess datasets #4:  75%|███████▍  | 2833/3785 [01:32<00:28, 33.90ex/s]

preprocess datasets #1:  28%|██▊       | 1062/3786 [01:33<03:28, 13.07ex/s]
preprocess datasets #0:  28%|██▊       | 1046/3786 [01:33<04:45,  9.60ex/s]


preprocess datasets #2:  71%|███████   | 2670/3786 [01:33<00:49, 22.50ex/s]



preprocess datasets #3:  76%|███████▌  | 2862/3786 [01:33<00:25, 36.49ex/s]
preprocess datasets #0:  28%|██▊       | 1047/3786 [01:33<04:44,  9.64ex/s]




preprocess datasets #4:  75%|███████▍  | 2838/3785 [01:33<00:26, 35.39ex/s]


preprocess datasets #2:  71%|███████   | 2673/3786 [01:33<00:50, 22.23ex/s]

preprocess datasets #1:  28%|██▊       | 1064/3786 [01:33<03:31, 12.85ex/s]



preprocess datasets #3:  76%|███████▌  | 2868/3786 [01:33<00:22, 41.28ex/s]
preprocess datasets #0:  28%|██▊       | 1048/3786 [01:33<04:46,  9.56ex/s]




preprocess datasets #4:  75%|███████▌  | 2842/3785 [01:33<00:26, 35.84ex/s]


preprocess datasets #2:  71%|███████   | 2678/3786 [01:33<00:39, 27.76ex/s]



preprocess datasets #3:  76%|███████▌  | 2873/3786 [01:33<00:22, 40.74ex/s]




preprocess datasets #4:  75%|███████▌  | 2846/3785 [01:33<00:26, 35.73ex/s]

preprocess datasets #1:  28%|██▊       | 1066/3786 [01:33<03:42, 12.22ex/s]
preprocess datasets #0:  28%|██▊       | 1050/3786 [01:33<04:32, 10.04ex/s]


preprocess datasets #2:  71%|███████   | 2681/3786 [01:33<00:44, 24.97ex/s]

preprocess datasets #1:  28%|██▊       | 1068/3786 [01:33<03:37, 12.48ex/s]




preprocess datasets #4:  75%|███████▌  | 2850/3785 [01:33<00:29, 31.27ex/s]



preprocess datasets #3:  76%|███████▌  | 2878/3786 [01:33<00:25, 35.80ex/s]


preprocess datasets #2:  71%|███████   | 2686/3786 [01:33<00:36, 29.95ex/s]
preprocess datasets #0:  28%|██▊       | 1052/3786 [01:33<04:44,  9.61ex/s]




preprocess datasets #4:  75%|███████▌  | 2854/3785 [01:33<00:29, 31.89ex/s]



preprocess datasets #3:  76%|███████▌  | 2882/3786 [01:33<00:26, 34.19ex/s]


preprocess datasets #2:  71%|███████   | 2690/3786 [01:33<00:36, 29.72ex/s]

preprocess datasets #1:  28%|██▊       | 1070/3786 [01:33<04:05, 11.04ex/s]




preprocess datasets #4:  76%|███████▌  | 2858/3785 [01:33<00:28, 32.92ex/s]



preprocess datasets #3:  76%|███████▌  | 2886/3786 [01:33<00:27, 32.48ex/s]
preprocess datasets #0:  28%|██▊       | 1054/3786 [01:33<04:39,  9.77ex/s]


preprocess datasets #2:  71%|███████   | 2694/3786 [01:33<00:38, 28.64ex/s]


preprocess datasets #2:  71%|███████   | 2697/3786 [01:33<00:37, 28.79ex/s]

preprocess datasets #1:  28%|██▊       | 1072/3786 [01:33<04:21, 10.40ex/s]




preprocess datasets #4:  76%|███████▌  | 2862/3785 [01:33<00:34, 26.84ex/s]



preprocess datasets #3:  76%|███████▋  | 2890/3786 [01:33<00:32, 27.29ex/s]
preprocess datasets #0:  28%|██▊       | 1056/3786 [01:34<04:31, 10.04ex/s]


preprocess datasets #2:  71%|███████▏  | 2700/3786 [01:34<00:39, 27.24ex/s]




preprocess datasets #4:  76%|███████▌  | 2865/3785 [01:34<00:35, 25.68ex/s]



preprocess datasets #3:  76%|███████▋  | 2894/3786 [01:34<00:32, 27.83ex/s]


preprocess datasets #2:  71%|███████▏  | 2705/3786 [01:34<00:32, 32.84ex/s]

preprocess datasets #1:  28%|██▊       | 1074/3786 [01:34<04:29, 10.06ex/s]




preprocess datasets #4:  76%|███████▌  | 2868/3785 [01:34<00:35, 25.52ex/s]
preprocess datasets #0:  28%|██▊       | 1058/3786 [01:34<04:33,  9.99ex/s]



preprocess datasets #3:  77%|███████▋  | 2899/3786 [01:34<00:27, 32.58ex/s]

preprocess datasets #1:  28%|██▊       | 1076/3786 [01:34<03:56, 11.44ex/s]


preprocess datasets #2:  72%|███████▏  | 2709/3786 [01:34<00:33, 32.35ex/s]




preprocess datasets #4:  76%|███████▌  | 2872/3785 [01:34<00:32, 28.24ex/s]



preprocess datasets #3:  77%|███████▋  | 2903/3786 [01:34<00:29, 30.38ex/s]
preprocess datasets #0:  28%|██▊       | 1060/3786 [01:34<04:29, 10.10ex/s]




preprocess datasets #4:  76%|███████▌  | 2875/3785 [01:34<00:33, 27.07ex/s]


preprocess datasets #2:  72%|███████▏  | 2713/3786 [01:34<00:36, 29.38ex/s]

preprocess datasets #1:  28%|██▊       | 1079/3786 [01:34<03:27, 13.07ex/s]



preprocess datasets #3:  77%|███████▋  | 2908/3786 [01:34<00:25, 34.39ex/s]


preprocess datasets #2:  72%|███████▏  | 2717/3786 [01:34<00:35, 30.16ex/s]




preprocess datasets #4:  76%|███████▌  | 2878/3785 [01:34<00:37, 24.49ex/s]



preprocess datasets #3:  77%|███████▋  | 2912/3786 [01:34<00:25, 34.93ex/s]

preprocess datasets #1:  29%|██▊       | 1081/3786 [01:34<03:24, 13.24ex/s]
preprocess datasets #0:  28%|██▊       | 1062/3786 [01:34<04:41,  9.69ex/s]


preprocess datasets #2:  72%|███████▏  | 2721/3786 [01:34<00:34, 31.15ex/s]




preprocess datasets #4:  76%|███████▌  | 2881/3785 [01:34<00:39, 22.64ex/s]



preprocess datasets #3:  77%|███████▋  | 2916/3786 [01:34<00:28, 31.05ex/s]

preprocess datasets #1:  29%|██▊       | 1083/3786 [01:34<03:36, 12.48ex/s]
preprocess datasets #0:  28%|██▊       | 1064/3786 [01:34<04:28, 10.14ex/s]


preprocess datasets #2:  72%|███████▏  | 2725/3786 [01:34<00:35, 30.04ex/s]




preprocess datasets #4:  76%|███████▌  | 2884/3785 [01:34<00:37, 24.18ex/s]



preprocess datasets #3:  77%|███████▋  | 2920/3786 [01:34<00:30, 28.75ex/s]

preprocess datasets #1:  29%|██▊       | 1086/3786 [01:34<03:10, 14.21ex/s]


preprocess datasets #2:  72%|███████▏  | 2729/3786 [01:34<00:37, 27.84ex/s]
preprocess datasets #0:  28%|██▊       | 1066/3786 [01:35<04:29, 10.10ex/s]




preprocess datasets #4:  76%|███████▋  | 2888/3785 [01:34<00:37, 23.97ex/s]



preprocess datasets #3:  77%|███████▋  | 2924/3786 [01:35<00:27, 31.16ex/s]

preprocess datasets #1:  29%|██▊       | 1088/3786 [01:35<03:19, 13.52ex/s]


preprocess datasets #2:  72%|███████▏  | 2732/3786 [01:35<00:38, 27.10ex/s]




preprocess datasets #4:  76%|███████▋  | 2891/3785 [01:35<00:37, 23.60ex/s]
preprocess datasets #0:  28%|██▊       | 1068/3786 [01:35<04:10, 10.86ex/s]



preprocess datasets #3:  77%|███████▋  | 2928/3786 [01:35<00:28, 30.05ex/s]


preprocess datasets #2:  72%|███████▏  | 2735/3786 [01:35<00:40, 26.07ex/s]




preprocess datasets #4:  77%|███████▋  | 2897/3785 [01:35<00:28, 30.89ex/s]



preprocess datasets #3:  77%|███████▋  | 2932/3786 [01:35<00:26, 32.30ex/s]

preprocess datasets #1:  29%|██▉       | 1090/3786 [01:35<03:36, 12.47ex/s]
preprocess datasets #0:  28%|██▊       | 1070/3786 [01:35<04:30, 10.04ex/s]


preprocess datasets #2:  72%|███████▏  | 2738/3786 [01:35<00:43, 24.13ex/s]




preprocess datasets #4:  77%|███████▋  | 2901/3785 [01:35<00:29, 29.59ex/s]



preprocess datasets #3:  78%|███████▊  | 2936/3786 [01:35<00:28, 30.05ex/s]

preprocess datasets #1:  29%|██▉       | 1092/3786 [01:35<03:35, 12.48ex/s]


preprocess datasets #2:  72%|███████▏  | 2741/3786 [01:35<00:44, 23.44ex/s]




preprocess datasets #4:  77%|███████▋  | 2905/3785 [01:35<00:28, 30.79ex/s]



preprocess datasets #3:  78%|███████▊  | 2940/3786 [01:35<00:26, 31.67ex/s]
preprocess datasets #0:  28%|██▊       | 1072/3786 [01:35<04:37,  9.77ex/s]

preprocess datasets #1:  29%|██▉       | 1094/3786 [01:35<03:34, 12.56ex/s]


preprocess datasets #2:  73%|███████▎  | 2745/3786 [01:35<00:40, 25.68ex/s]




preprocess datasets #4:  77%|███████▋  | 2909/3785 [01:35<00:29, 29.96ex/s]



preprocess datasets #3:  78%|███████▊  | 2944/3786 [01:35<00:27, 30.38ex/s]

preprocess datasets #1:  29%|██▉       | 1096/3786 [01:35<03:28, 12.91ex/s]
preprocess datasets #0:  28%|██▊       | 1074/3786 [01:35<04:26, 10.17ex/s]


preprocess datasets #2:  73%|███████▎  | 2748/3786 [01:35<00:41, 25.08ex/s]




preprocess datasets #4:  77%|███████▋  | 2913/3785 [01:35<00:29, 29.63ex/s]



preprocess datasets #3:  78%|███████▊  | 2948/3786 [01:35<00:28, 29.09ex/s]


preprocess datasets #2:  73%|███████▎  | 2751/3786 [01:35<00:40, 25.47ex/s]

preprocess datasets #1:  29%|██▉       | 1098/3786 [01:35<03:24, 13.12ex/s]




preprocess datasets #4:  77%|███████▋  | 2917/3785 [01:35<00:27, 31.01ex/s]



preprocess datasets #3:  78%|███████▊  | 2953/3786 [01:35<00:24, 33.49ex/s]
preprocess datasets #0:  28%|██▊       | 1076/3786 [01:36<04:23, 10.28ex/s]


preprocess datasets #2:  73%|███████▎  | 2754/3786 [01:36<00:42, 24.19ex/s]
preprocess datasets #0:  28%|██▊       | 1078/3786 [01:36<03:49, 11.79ex/s]

preprocess datasets #1:  29%|██▉       | 1100/3786 [01:36<03:31, 12.69ex/s]



preprocess datasets #3:  78%|███████▊  | 2957/3786 [01:36<00:27, 30.44ex/s]




preprocess datasets #4:  77%|███████▋  | 2921/3785 [01:36<00:30, 28.19ex/s]


preprocess datasets #2:  73%|███████▎  | 2759/3786 [01:36<00:35, 29.19ex/s]




preprocess datasets #4:  77%|███████▋  | 2924/3785 [01:36<00:32, 26.58ex/s]



preprocess datasets #3:  78%|███████▊  | 2961/3786 [01:36<00:29, 28.14ex/s]

preprocess datasets #1:  29%|██▉       | 1102/3786 [01:36<03:44, 11.97ex/s]


preprocess datasets #2:  73%|███████▎  | 2764/3786 [01:36<00:33, 30.81ex/s]
preprocess datasets #0:  29%|██▊       | 1080/3786 [01:36<04:32,  9.94ex/s]




preprocess datasets #4:  77%|███████▋  | 2928/3785 [01:36<00:32, 26.47ex/s]


preprocess datasets #2:  73%|███████▎  | 2770/3786 [01:36<00:27, 37.00ex/s]



preprocess datasets #3:  78%|███████▊  | 2965/3786 [01:36<00:29, 27.56ex/s]

preprocess datasets #1:  29%|██▉       | 1104/3786 [01:36<03:41, 12.08ex/s]


preprocess datasets #2:  73%|███████▎  | 2774/3786 [01:36<00:27, 37.33ex/s]




preprocess datasets #4:  77%|███████▋  | 2931/3785 [01:36<00:34, 24.91ex/s]



preprocess datasets #3:  78%|███████▊  | 2970/3786 [01:36<00:26, 31.15ex/s]

preprocess datasets #1:  29%|██▉       | 1106/3786 [01:36<03:27, 12.92ex/s]
preprocess datasets #0:  29%|██▊       | 1082/3786 [01:36<04:42,  9.58ex/s]




preprocess datasets #4:  78%|███████▊  | 2935/3785 [01:36<00:30, 27.81ex/s]


preprocess datasets #2:  73%|███████▎  | 2779/3786 [01:36<00:26, 38.30ex/s]



preprocess datasets #3:  79%|███████▊  | 2975/3786 [01:36<00:24, 33.59ex/s]

preprocess datasets #1:  29%|██▉       | 1108/3786 [01:36<03:15, 13.70ex/s]




preprocess datasets #4:  78%|███████▊  | 2939/3785 [01:36<00:29, 28.58ex/s]


preprocess datasets #2:  74%|███████▎  | 2783/3786 [01:36<00:28, 34.93ex/s]
preprocess datasets #0:  29%|██▊       | 1084/3786 [01:36<04:57,  9.08ex/s]



preprocess datasets #3:  79%|███████▊  | 2979/3786 [01:36<00:28, 27.93ex/s]

preprocess datasets #1:  29%|██▉       | 1110/3786 [01:36<03:32, 12.59ex/s]




preprocess datasets #4:  78%|███████▊  | 2942/3785 [01:36<00:33, 25.14ex/s]


preprocess datasets #2:  74%|███████▎  | 2787/3786 [01:36<00:33, 29.77ex/s]
preprocess datasets #0:  29%|██▊       | 1086/3786 [01:37<04:36,  9.76ex/s]

preprocess datasets #1:  29%|██▉       | 1112/3786 [01:37<03:29, 12.77ex/s]



preprocess datasets #3:  79%|███████▉  | 2983/3786 [01:37<00:30, 26.35ex/s]




preprocess datasets #4:  78%|███████▊  | 2945/3785 [01:37<00:36, 22.75ex/s]


preprocess datasets #2:  74%|███████▎  | 2791/3786 [01:37<00:36, 27.15ex/s]
preprocess datasets #0:  29%|██▊       | 1088/3786 [01:37<04:23, 10.25ex/s]



preprocess datasets #3:  79%|███████▉  | 2987/3786 [01:37<00:29, 26.71ex/s]

preprocess datasets #1:  29%|██▉       | 1114/3786 [01:37<03:35, 12.40ex/s]




preprocess datasets #4:  78%|███████▊  | 2949/3785 [01:37<00:32, 26.04ex/s]


preprocess datasets #2:  74%|███████▍  | 2794/3786 [01:37<00:39, 25.00ex/s]



preprocess datasets #3:  79%|███████▉  | 2993/3786 [01:37<00:24, 32.02ex/s]

preprocess datasets #1:  29%|██▉       | 1116/3786 [01:37<03:22, 13.18ex/s]




preprocess datasets #4:  78%|███████▊  | 2953/3785 [01:37<00:31, 26.78ex/s]
preprocess datasets #0:  29%|██▉       | 1090/3786 [01:37<04:24, 10.19ex/s]



preprocess datasets #3:  79%|███████▉  | 2997/3786 [01:37<00:24, 32.82ex/s]


preprocess datasets #2:  74%|███████▍  | 2797/3786 [01:37<00:41, 23.61ex/s]




preprocess datasets #4:  78%|███████▊  | 2956/3785 [01:37<00:31, 26.10ex/s]

preprocess datasets #1:  30%|██▉       | 1118/3786 [01:37<03:18, 13.42ex/s]
preprocess datasets #0:  29%|██▉       | 1092/3786 [01:37<04:23, 10.24ex/s]


preprocess datasets #2:  74%|███████▍  | 2800/3786 [01:37<00:43, 22.43ex/s]




preprocess datasets #4:  78%|███████▊  | 2959/3785 [01:37<00:33, 24.39ex/s]

preprocess datasets #1:  30%|██▉       | 1120/3786 [01:37<03:35, 12.36ex/s]


preprocess datasets #2:  74%|███████▍  | 2804/3786 [01:37<00:39, 24.98ex/s]




preprocess datasets #4:  78%|███████▊  | 2962/3785 [01:37<00:33, 24.38ex/s]
preprocess datasets #0:  29%|██▉       | 1094/3786 [01:37<04:14, 10.58ex/s]




preprocess datasets #4:  78%|███████▊  | 2966/3785 [01:37<00:30, 26.81ex/s]

preprocess datasets #1:  30%|██▉       | 1122/3786 [01:37<03:49, 11.63ex/s]



preprocess datasets #3:  79%|███████▉  | 3001/3786 [01:37<00:42, 18.50ex/s]


preprocess datasets #2:  74%|███████▍  | 2807/3786 [01:37<00:43, 22.54ex/s]
preprocess datasets #0:  29%|██▉       | 1096/3786 [01:37<04:22, 10.23ex/s]




preprocess datasets #4:  78%|███████▊  | 2969/3785 [01:37<00:30, 26.57ex/s]



preprocess datasets #3:  79%|███████▉  | 3006/3786 [01:37<00:34, 22.50ex/s]


preprocess datasets #2:  74%|███████▍  | 2810/3786 [01:38<00:43, 22.52ex/s]




preprocess datasets #4:  79%|███████▊  | 2972/3785 [01:38<00:32, 24.86ex/s]

preprocess datasets #1:  30%|██▉       | 1124/3786 [01:38<04:22, 10.15ex/s]
preprocess datasets #0:  29%|██▉       | 1098/3786 [01:38<04:17, 10.43ex/s]



preprocess datasets #3:  80%|███████▉  | 3010/3786 [01:38<00:31, 24.38ex/s]


preprocess datasets #2:  74%|███████▍  | 2813/3786 [01:38<00:43, 22.51ex/s]




preprocess datasets #4:  79%|███████▊  | 2975/3785 [01:38<00:31, 25.38ex/s]



preprocess datasets #3:  80%|███████▉  | 3016/3786 [01:38<00:25, 30.42ex/s]


preprocess datasets #2:  74%|███████▍  | 2817/3786 [01:38<00:38, 25.31ex/s]
preprocess datasets #0:  29%|██▉       | 1100/3786 [01:38<04:12, 10.62ex/s]

preprocess datasets #1:  30%|██▉       | 1126/3786 [01:38<04:25, 10.01ex/s]




preprocess datasets #4:  79%|███████▉  | 2981/3785 [01:38<00:23, 33.63ex/s]



preprocess datasets #3:  80%|███████▉  | 3020/3786 [01:38<00:23, 32.30ex/s]


preprocess datasets #2:  75%|███████▍  | 2821/3786 [01:38<00:35, 27.54ex/s]




preprocess datasets #4:  79%|███████▉  | 2986/3785 [01:38<00:23, 33.99ex/s]

preprocess datasets #1:  30%|██▉       | 1128/3786 [01:38<04:08, 10.69ex/s]
preprocess datasets #0:  29%|██▉       | 1102/3786 [01:38<04:09, 10.78ex/s]



preprocess datasets #3:  80%|███████▉  | 3025/3786 [01:38<00:22, 33.94ex/s]




preprocess datasets #4:  79%|███████▉  | 2990/3785 [01:38<00:22, 35.03ex/s]


preprocess datasets #2:  75%|███████▍  | 2824/3786 [01:38<00:41, 23.30ex/s]



preprocess datasets #3:  80%|████████  | 3030/3786 [01:38<00:21, 35.57ex/s]

preprocess datasets #1:  30%|██▉       | 1130/3786 [01:38<03:59, 11.11ex/s]
preprocess datasets #0:  29%|██▉       | 1104/3786 [01:38<04:01, 11.13ex/s]


preprocess datasets #2:  75%|███████▍  | 2827/3786 [01:38<00:39, 24.48ex/s]




preprocess datasets #4:  79%|███████▉  | 2995/3785 [01:38<00:21, 37.07ex/s]



preprocess datasets #3:  80%|████████  | 3035/3786 [01:38<00:19, 38.23ex/s]
preprocess datasets #0:  29%|██▉       | 1106/3786 [01:38<03:43, 11.98ex/s]

preprocess datasets #1:  30%|██▉       | 1132/3786 [01:38<03:56, 11.24ex/s]


preprocess datasets #2:  75%|███████▍  | 2830/3786 [01:38<00:40, 23.87ex/s]



preprocess datasets #3:  80%|████████  | 3040/3786 [01:38<00:18, 39.82ex/s]


preprocess datasets #2:  75%|███████▍  | 2833/3786 [01:38<00:38, 24.73ex/s]

preprocess datasets #1:  30%|██▉       | 1134/3786 [01:39<03:56, 11.20ex/s]



preprocess datasets #3:  80%|████████  | 3045/3786 [01:39<00:20, 36.82ex/s]
preprocess datasets #0:  29%|██▉       | 1108/3786 [01:39<04:16, 10.46ex/s]


preprocess datasets #2:  75%|███████▍  | 2836/3786 [01:39<00:38, 24.45ex/s]


preprocess datasets #2:  75%|███████▍  | 2839/3786 [01:39<00:42, 22.38ex/s]



preprocess datasets #3:  81%|████████  | 3049/3786 [01:39<00:26, 28.28ex/s]

preprocess datasets #1:  30%|███       | 1136/3786 [01:39<04:44,  9.32ex/s]


preprocess datasets #2:  75%|███████▌  | 2843/3786 [01:39<00:38, 24.73ex/s]



preprocess datasets #3:  81%|████████  | 3053/3786 [01:39<00:25, 29.15ex/s]
preprocess datasets #0:  29%|██▉       | 1110/3786 [01:39<05:21,  8.33ex/s]

preprocess datasets #1:  30%|███       | 1138/3786 [01:39<04:24, 10.00ex/s]



preprocess datasets #3:  81%|████████  | 3058/3786 [01:39<00:21, 33.69ex/s]


preprocess datasets #2:  75%|███████▌  | 2846/3786 [01:39<00:38, 24.63ex/s]
preprocess datasets #0:  29%|██▉       | 1111/3786 [01:39<05:19,  8.36ex/s]



preprocess datasets #3:  81%|████████  | 3064/3786 [01:39<00:18, 39.57ex/s]

preprocess datasets #1:  30%|███       | 1140/3786 [01:39<04:11, 10.54ex/s]
preprocess datasets #0:  29%|██▉       | 1112/3786 [01:39<05:18,  8.39ex/s]


preprocess datasets #2:  75%|███████▌  | 2849/3786 [01:39<00:42, 22.05ex/s]



preprocess datasets #3:  81%|████████  | 3070/3786 [01:39<00:16, 44.68ex/s]




preprocess datasets #4:  79%|███████▉  | 3000/3785 [01:39<01:04, 12.23ex/s]
preprocess datasets #0:  29%|██▉       | 1113/3786 [01:39<05:14,  8.50ex/s]


preprocess datasets #2:  75%|███████▌  | 2852/3786 [01:39<00:40, 22.91ex/s]




preprocess datasets #4:  79%|███████▉  | 3004/3785 [01:39<00:53, 14.61ex/s]



preprocess datasets #3:  81%|████████  | 3075/3786 [01:39<00:18, 38.71ex/s]
preprocess datasets #0:  29%|██▉       | 1114/3786 [01:39<05:20,  8.35ex/s]

preprocess datasets #1:  30%|███       | 1142/3786 [01:39<04:32,  9.72ex/s]




preprocess datasets #4:  79%|███████▉  | 3008/3785 [01:39<00:44, 17.63ex/s]


preprocess datasets #2:  75%|███████▌  | 2855/3786 [01:39<00:43, 21.52ex/s]
preprocess datasets #0:  29%|██▉       | 1115/3786 [01:40<05:20,  8.34ex/s]



preprocess datasets #3:  81%|████████▏ | 3080/3786 [01:39<00:19, 36.39ex/s]




preprocess datasets #4:  80%|███████▉  | 3012/3785 [01:40<00:37, 20.36ex/s]


preprocess datasets #2:  75%|███████▌  | 2858/3786 [01:40<00:45, 20.52ex/s]
preprocess datasets #0:  29%|██▉       | 1116/3786 [01:40<05:10,  8.59ex/s]



preprocess datasets #3:  81%|████████▏ | 3084/3786 [01:40<00:19, 36.59ex/s]




preprocess datasets #4:  80%|███████▉  | 3016/3785 [01:40<00:34, 22.43ex/s]



preprocess datasets #3:  82%|████████▏ | 3088/3786 [01:40<00:19, 36.45ex/s]
preprocess datasets #0:  30%|██▉       | 1118/3786 [01:40<04:18, 10.33ex/s]

preprocess datasets #1:  30%|███       | 1144/3786 [01:40<05:37,  7.83ex/s]


preprocess datasets #2:  76%|███████▌  | 2862/3786 [01:40<00:42, 21.77ex/s]



preprocess datasets #3:  82%|████████▏ | 3092/3786 [01:40<00:18, 37.33ex/s]

preprocess datasets #1:  30%|███       | 1145/3786 [01:40<05:26,  8.08ex/s]




preprocess datasets #4:  80%|███████▉  | 3020/3785 [01:40<00:34, 22.48ex/s]



preprocess datasets #3:  82%|████████▏ | 3096/3786 [01:40<00:18, 36.91ex/s]

preprocess datasets #1:  30%|███       | 1146/3786 [01:40<05:22,  8.19ex/s]


preprocess datasets #2:  76%|███████▌  | 2865/3786 [01:40<00:49, 18.61ex/s]
preprocess datasets #0:  30%|██▉       | 1120/3786 [01:40<04:50,  9.18ex/s]




preprocess datasets #4:  80%|███████▉  | 3023/3785 [01:40<00:35, 21.41ex/s]



preprocess datasets #3:  82%|████████▏ | 3103/3786 [01:40<00:15, 44.23ex/s]


preprocess datasets #2:  76%|███████▌  | 2869/3786 [01:40<00:41, 22.15ex/s]




preprocess datasets #4:  80%|████████  | 3028/3785 [01:40<00:28, 26.68ex/s]

preprocess datasets #1:  30%|███       | 1148/3786 [01:40<04:38,  9.49ex/s]
preprocess datasets #0:  30%|██▉       | 1122/3786 [01:40<04:16, 10.38ex/s]



preprocess datasets #3:  82%|████████▏ | 3108/3786 [01:40<00:16, 42.36ex/s]




preprocess datasets #4:  80%|████████  | 3032/3785 [01:40<00:26, 28.45ex/s]


preprocess datasets #2:  76%|███████▌  | 2872/3786 [01:40<00:43, 21.25ex/s]



preprocess datasets #3:  82%|████████▏ | 3113/3786 [01:40<00:16, 41.62ex/s]

preprocess datasets #1:  30%|███       | 1150/3786 [01:40<04:24,  9.98ex/s]
preprocess datasets #0:  30%|██▉       | 1124/3786 [01:40<04:02, 10.96ex/s]


preprocess datasets #2:  76%|███████▌  | 2877/3786 [01:40<00:34, 26.16ex/s]




preprocess datasets #4:  80%|████████  | 3036/3785 [01:40<00:28, 26.60ex/s]



preprocess datasets #3:  82%|████████▏ | 3118/3786 [01:40<00:16, 39.38ex/s]

preprocess datasets #1:  30%|███       | 1153/3786 [01:40<03:33, 12.34ex/s]
preprocess datasets #0:  30%|██▉       | 1126/3786 [01:41<03:56, 11.27ex/s]


preprocess datasets #2:  76%|███████▌  | 2880/3786 [01:40<00:34, 26.43ex/s]




preprocess datasets #4:  80%|████████  | 3040/3785 [01:41<00:27, 27.04ex/s]



preprocess datasets #3:  83%|████████▎ | 3124/3786 [01:41<00:16, 41.26ex/s]


preprocess datasets #2:  76%|███████▌  | 2884/3786 [01:41<00:31, 28.77ex/s]
preprocess datasets #0:  30%|██▉       | 1128/3786 [01:41<03:40, 12.06ex/s]




preprocess datasets #4:  80%|████████  | 3043/3785 [01:41<00:30, 24.56ex/s]



preprocess datasets #3:  83%|████████▎ | 3129/3786 [01:41<00:16, 39.37ex/s]

preprocess datasets #1:  31%|███       | 1155/3786 [01:41<04:07, 10.64ex/s]


preprocess datasets #2:  76%|███████▋  | 2888/3786 [01:41<00:32, 28.04ex/s]
preprocess datasets #0:  30%|██▉       | 1130/3786 [01:41<03:51, 11.45ex/s]




preprocess datasets #4:  80%|████████  | 3046/3785 [01:41<00:29, 25.06ex/s]



preprocess datasets #3:  83%|████████▎ | 3135/3786 [01:41<00:15, 41.19ex/s]

preprocess datasets #1:  31%|███       | 1157/3786 [01:41<03:52, 11.30ex/s]


preprocess datasets #2:  76%|███████▋  | 2891/3786 [01:41<00:36, 24.75ex/s]



preprocess datasets #3:  83%|████████▎ | 3142/3786 [01:41<00:13, 46.43ex/s]




preprocess datasets #4:  81%|████████  | 3050/3785 [01:41<00:29, 25.16ex/s]

preprocess datasets #1:  31%|███       | 1159/3786 [01:41<03:42, 11.82ex/s]


preprocess datasets #2:  76%|███████▋  | 2894/3786 [01:41<00:34, 25.73ex/s]
preprocess datasets #0:  30%|██▉       | 1132/3786 [01:41<04:05, 10.81ex/s]



preprocess datasets #3:  83%|████████▎ | 3147/3786 [01:41<00:13, 46.20ex/s]

preprocess datasets #1:  31%|███       | 1161/3786 [01:41<03:23, 12.87ex/s]


preprocess datasets #2:  77%|███████▋  | 2897/3786 [01:41<00:35, 25.33ex/s]




preprocess datasets #4:  81%|████████  | 3053/3785 [01:41<00:32, 22.68ex/s]
preprocess datasets #0:  30%|██▉       | 1134/3786 [01:41<03:57, 11.16ex/s]



preprocess datasets #3:  83%|████████▎ | 3153/3786 [01:41<00:13, 47.98ex/s]


preprocess datasets #2:  77%|███████▋  | 2901/3786 [01:41<00:33, 26.42ex/s]




preprocess datasets #4:  81%|████████  | 3056/3785 [01:41<00:32, 22.13ex/s]

preprocess datasets #1:  31%|███       | 1163/3786 [01:41<03:26, 12.72ex/s]



preprocess datasets #3:  83%|████████▎ | 3158/3786 [01:41<00:14, 44.84ex/s]
preprocess datasets #0:  30%|███       | 1136/3786 [01:41<03:50, 11.50ex/s]


preprocess datasets #2:  77%|███████▋  | 2904/3786 [01:41<00:34, 25.73ex/s]




preprocess datasets #4:  81%|████████  | 3059/3785 [01:41<00:31, 23.19ex/s]




preprocess datasets #4:  81%|████████  | 3062/3785 [01:42<00:30, 23.58ex/s]



preprocess datasets #3:  84%|████████▎ | 3163/3786 [01:42<00:17, 35.41ex/s]


preprocess datasets #2:  77%|███████▋  | 2907/3786 [01:42<00:35, 24.60ex/s]

preprocess datasets #1:  31%|███       | 1165/3786 [01:42<04:06, 10.65ex/s]
preprocess datasets #0:  30%|███       | 1138/3786 [01:42<04:15, 10.37ex/s]


preprocess datasets #2:  77%|███████▋  | 2911/3786 [01:42<00:31, 27.62ex/s]




preprocess datasets #4:  81%|████████  | 3065/3785 [01:42<00:32, 22.28ex/s]

preprocess datasets #1:  31%|███       | 1168/3786 [01:42<03:22, 12.93ex/s]



preprocess datasets #3:  84%|████████▎ | 3167/3786 [01:42<00:20, 30.83ex/s]


preprocess datasets #2:  77%|███████▋  | 2915/3786 [01:42<00:28, 30.40ex/s]
preprocess datasets #0:  30%|███       | 1140/3786 [01:42<04:09, 10.59ex/s]




preprocess datasets #4:  81%|████████  | 3069/3785 [01:42<00:27, 25.85ex/s]



preprocess datasets #3:  84%|████████▍ | 3171/3786 [01:42<00:19, 32.23ex/s]

preprocess datasets #1:  31%|███       | 1170/3786 [01:42<03:34, 12.17ex/s]


preprocess datasets #2:  77%|███████▋  | 2919/3786 [01:42<00:31, 27.91ex/s]



preprocess datasets #3:  84%|████████▍ | 3175/3786 [01:42<00:18, 33.71ex/s]




preprocess datasets #4:  81%|████████  | 3074/3785 [01:42<00:24, 28.51ex/s]



preprocess datasets #3:  84%|████████▍ | 3179/3786 [01:42<00:18, 33.64ex/s]




preprocess datasets #4:  81%|████████▏ | 3077/3785 [01:42<00:25, 27.32ex/s]


preprocess datasets #2:  77%|███████▋  | 2922/3786 [01:42<00:34, 24.79ex/s]

preprocess datasets #1:  31%|███       | 1172/3786 [01:42<03:41, 11.78ex/s]
preprocess datasets #0:  30%|███       | 1142/3786 [01:42<05:27,  8.07ex/s]



preprocess datasets #3:  84%|████████▍ | 3183/3786 [01:42<00:18, 33.23ex/s]


preprocess datasets #2:  77%|███████▋  | 2925/3786 [01:42<00:33, 25.91ex/s]




preprocess datasets #4:  81%|████████▏ | 3081/3785 [01:42<00:24, 28.25ex/s]

preprocess datasets #1:  31%|███       | 1174/3786 [01:42<03:39, 11.90ex/s]



preprocess datasets #3:  84%|████████▍ | 3189/3786 [01:42<00:15, 39.59ex/s]


preprocess datasets #2:  77%|███████▋  | 2928/3786 [01:42<00:34, 24.79ex/s]
preprocess datasets #0:  30%|███       | 1144/3786 [01:42<05:03,  8.70ex/s]




preprocess datasets #4:  81%|████████▏ | 3084/3785 [01:42<00:27, 25.29ex/s]



preprocess datasets #3:  84%|████████▍ | 3194/3786 [01:42<00:15, 39.37ex/s]

preprocess datasets #1:  31%|███       | 1176/3786 [01:42<03:40, 11.82ex/s]


preprocess datasets #2:  77%|███████▋  | 2931/3786 [01:42<00:37, 22.87ex/s]
preprocess datasets #0:  30%|███       | 1146/3786 [01:43<04:46,  9.23ex/s]



preprocess datasets #3:  84%|████████▍ | 3199/3786 [01:43<00:15, 36.90ex/s]




preprocess datasets #4:  82%|████████▏ | 3087/3785 [01:43<00:33, 20.81ex/s]

preprocess datasets #1:  31%|███       | 1178/3786 [01:43<03:35, 12.07ex/s]


preprocess datasets #2:  78%|███████▊  | 2935/3786 [01:43<00:33, 25.58ex/s]




preprocess datasets #4:  82%|████████▏ | 3091/3785 [01:43<00:28, 24.49ex/s]



preprocess datasets #3:  85%|████████▍ | 3205/3786 [01:43<00:13, 41.65ex/s]
preprocess datasets #0:  30%|███       | 1148/3786 [01:43<04:22, 10.03ex/s]

preprocess datasets #1:  31%|███       | 1180/3786 [01:43<03:29, 12.41ex/s]


preprocess datasets #2:  78%|███████▊  | 2938/3786 [01:43<00:35, 24.20ex/s]




preprocess datasets #4:  82%|████████▏ | 3094/3785 [01:43<00:27, 24.77ex/s]



preprocess datasets #3:  85%|████████▍ | 3211/3786 [01:43<00:13, 43.99ex/s]


preprocess datasets #2:  78%|███████▊  | 2942/3786 [01:43<00:31, 27.16ex/s]
preprocess datasets #0:  30%|███       | 1150/3786 [01:43<04:13, 10.38ex/s]




preprocess datasets #4:  82%|████████▏ | 3097/3785 [01:43<00:26, 25.57ex/s]



preprocess datasets #3:  85%|████████▍ | 3216/3786 [01:43<00:12, 44.42ex/s]

preprocess datasets #1:  31%|███       | 1182/3786 [01:43<03:41, 11.74ex/s]


preprocess datasets #2:  78%|███████▊  | 2945/3786 [01:43<00:34, 24.65ex/s]



preprocess datasets #3:  85%|████████▌ | 3221/3786 [01:43<00:12, 44.87ex/s]
preprocess datasets #0:  30%|███       | 1152/3786 [01:43<04:05, 10.72ex/s]




preprocess datasets #4:  82%|████████▏ | 3100/3785 [01:43<00:30, 22.35ex/s]

preprocess datasets #1:  31%|███▏      | 1184/3786 [01:43<03:33, 12.20ex/s]


preprocess datasets #2:  78%|███████▊  | 2948/3786 [01:43<00:32, 25.68ex/s]



preprocess datasets #3:  85%|████████▌ | 3227/3786 [01:43<00:11, 46.96ex/s]




preprocess datasets #4:  82%|████████▏ | 3103/3785 [01:43<00:28, 23.54ex/s]


preprocess datasets #2:  78%|███████▊  | 2952/3786 [01:43<00:28, 29.19ex/s]

preprocess datasets #1:  31%|███▏      | 1186/3786 [01:43<03:25, 12.65ex/s]
preprocess datasets #0:  30%|███       | 1154/3786 [01:43<04:12, 10.43ex/s]



preprocess datasets #3:  85%|████████▌ | 3232/3786 [01:43<00:11, 46.37ex/s]




preprocess datasets #4:  82%|████████▏ | 3107/3785 [01:43<00:24, 27.41ex/s]



preprocess datasets #3:  85%|████████▌ | 3237/3786 [01:43<00:11, 46.01ex/s]


preprocess datasets #2:  78%|███████▊  | 2956/3786 [01:43<00:31, 26.57ex/s]




preprocess datasets #4:  82%|████████▏ | 3110/3785 [01:43<00:24, 27.15ex/s]

preprocess datasets #1:  31%|███▏      | 1188/3786 [01:43<03:35, 12.03ex/s]
preprocess datasets #0:  31%|███       | 1156/3786 [01:43<04:05, 10.71ex/s]



preprocess datasets #3:  86%|████████▌ | 3243/3786 [01:43<00:12, 44.55ex/s]


preprocess datasets #2:  78%|███████▊  | 2959/3786 [01:44<00:31, 26.33ex/s]




preprocess datasets #4:  82%|████████▏ | 3115/3785 [01:43<00:20, 32.20ex/s]

preprocess datasets #1:  31%|███▏      | 1190/3786 [01:44<03:35, 12.04ex/s]



preprocess datasets #3:  86%|████████▌ | 3248/3786 [01:44<00:11, 45.40ex/s]
preprocess datasets #0:  31%|███       | 1158/3786 [01:44<04:09, 10.52ex/s]




preprocess datasets #4:  82%|████████▏ | 3119/3785 [01:44<00:20, 33.17ex/s]


preprocess datasets #2:  78%|███████▊  | 2964/3786 [01:44<00:28, 28.48ex/s]

preprocess datasets #1:  31%|███▏      | 1192/3786 [01:44<03:23, 12.73ex/s]



preprocess datasets #3:  86%|████████▌ | 3253/3786 [01:44<00:11, 44.95ex/s]
preprocess datasets #0:  31%|███       | 1160/3786 [01:44<03:49, 11.46ex/s]




preprocess datasets #4:  83%|████████▎ | 3123/3785 [01:44<00:21, 30.93ex/s]


preprocess datasets #2:  78%|███████▊  | 2967/3786 [01:44<00:31, 25.95ex/s]



preprocess datasets #3:  86%|████████▌ | 3258/3786 [01:44<00:11, 44.70ex/s]

preprocess datasets #1:  32%|███▏      | 1194/3786 [01:44<03:27, 12.48ex/s]




preprocess datasets #4:  83%|████████▎ | 3127/3785 [01:44<00:20, 32.37ex/s]
preprocess datasets #0:  31%|███       | 1162/3786 [01:44<03:48, 11.48ex/s]


preprocess datasets #2:  78%|███████▊  | 2970/3786 [01:44<00:31, 25.86ex/s]



preprocess datasets #3:  86%|████████▌ | 3263/3786 [01:44<00:11, 45.46ex/s]




preprocess datasets #4:  83%|████████▎ | 3132/3785 [01:44<00:19, 33.42ex/s]
preprocess datasets #0:  31%|███       | 1164/3786 [01:44<03:29, 12.52ex/s]

preprocess datasets #1:  32%|███▏      | 1196/3786 [01:44<03:36, 11.94ex/s]


preprocess datasets #2:  79%|███████▊  | 2973/3786 [01:44<00:34, 23.41ex/s]



preprocess datasets #3:  86%|████████▋ | 3268/3786 [01:44<00:12, 40.07ex/s]




preprocess datasets #4:  83%|████████▎ | 3137/3785 [01:44<00:18, 35.03ex/s]
preprocess datasets #0:  31%|███       | 1166/3786 [01:44<03:23, 12.91ex/s]


preprocess datasets #2:  79%|███████▊  | 2976/3786 [01:44<00:37, 21.65ex/s]

preprocess datasets #1:  32%|███▏      | 1198/3786 [01:44<03:55, 11.01ex/s]



preprocess datasets #3:  86%|████████▋ | 3273/3786 [01:44<00:14, 35.01ex/s]




preprocess datasets #4:  83%|████████▎ | 3141/3785 [01:44<00:21, 29.45ex/s]
preprocess datasets #0:  31%|███       | 1168/3786 [01:44<03:42, 11.79ex/s]


preprocess datasets #2:  79%|███████▊  | 2980/3786 [01:44<00:35, 22.92ex/s]



preprocess datasets #3:  87%|████████▋ | 3277/3786 [01:44<00:15, 33.55ex/s]




preprocess datasets #4:  83%|████████▎ | 3145/3785 [01:44<00:22, 28.29ex/s]

preprocess datasets #1:  32%|███▏      | 1200/3786 [01:45<04:14, 10.16ex/s]


preprocess datasets #2:  79%|███████▉  | 2983/3786 [01:45<00:35, 22.39ex/s]



preprocess datasets #3:  87%|████████▋ | 3281/3786 [01:45<00:16, 31.51ex/s]
preprocess datasets #0:  31%|███       | 1170/3786 [01:45<03:49, 11.41ex/s]




preprocess datasets #4:  83%|████████▎ | 3149/3785 [01:45<00:21, 29.67ex/s]


preprocess datasets #2:  79%|███████▉  | 2986/3786 [01:45<00:35, 22.73ex/s]

preprocess datasets #1:  32%|███▏      | 1202/3786 [01:45<04:12, 10.25ex/s]



preprocess datasets #3:  87%|████████▋ | 3285/3786 [01:45<00:16, 30.03ex/s]
preprocess datasets #0:  31%|███       | 1172/3786 [01:45<03:43, 11.71ex/s]


preprocess datasets #2:  79%|███████▉  | 2989/3786 [01:45<00:33, 24.00ex/s]




preprocess datasets #4:  83%|████████▎ | 3153/3785 [01:45<00:23, 26.35ex/s]

preprocess datasets #1:  32%|███▏      | 1204/3786 [01:45<04:02, 10.64ex/s]



preprocess datasets #3:  87%|████████▋ | 3289/3786 [01:45<00:17, 27.92ex/s]


preprocess datasets #2:  79%|███████▉  | 2992/3786 [01:45<00:32, 24.18ex/s]
preprocess datasets #0:  31%|███       | 1174/3786 [01:45<03:56, 11.07ex/s]




preprocess datasets #4:  83%|████████▎ | 3156/3785 [01:45<00:25, 24.61ex/s]



preprocess datasets #3:  87%|████████▋ | 3293/3786 [01:45<00:17, 28.90ex/s]


preprocess datasets #2:  79%|███████▉  | 2995/3786 [01:45<00:33, 23.97ex/s]




preprocess datasets #4:  83%|████████▎ | 3159/3785 [01:45<00:24, 25.48ex/s]

preprocess datasets #1:  32%|███▏      | 1206/3786 [01:45<04:15, 10.11ex/s]
preprocess datasets #0:  31%|███       | 1176/3786 [01:45<03:53, 11.16ex/s]



preprocess datasets #3:  87%|████████▋ | 3296/3786 [01:45<00:18, 26.65ex/s]


preprocess datasets #2:  79%|███████▉  | 2999/3786 [01:45<00:29, 26.41ex/s]




preprocess datasets #4:  84%|████████▎ | 3162/3785 [01:45<00:27, 22.69ex/s]



preprocess datasets #3:  87%|████████▋ | 3301/3786 [01:45<00:16, 29.83ex/s]

preprocess datasets #1:  32%|███▏      | 1208/3786 [01:45<04:18,  9.95ex/s]
preprocess datasets #0:  31%|███       | 1178/3786 [01:45<03:59, 10.91ex/s]




preprocess datasets #4:  84%|████████▎ | 3167/3785 [01:45<00:23, 26.67ex/s]



preprocess datasets #3:  87%|████████▋ | 3305/3786 [01:45<00:15, 31.98ex/s]

preprocess datasets #1:  32%|███▏      | 1210/3786 [01:45<04:03, 10.58ex/s]



preprocess datasets #3:  87%|████████▋ | 3310/3786 [01:45<00:13, 36.44ex/s]
preprocess datasets #0:  31%|███       | 1180/3786 [01:46<03:56, 11.03ex/s]




preprocess datasets #4:  84%|████████▍ | 3170/3785 [01:46<00:26, 23.40ex/s]

preprocess datasets #1:  32%|███▏      | 1212/3786 [01:46<03:54, 10.99ex/s]



preprocess datasets #3:  88%|████████▊ | 3314/3786 [01:46<00:14, 31.99ex/s]




preprocess datasets #4:  84%|████████▍ | 3173/3785 [01:46<00:25, 24.24ex/s]
preprocess datasets #0:  31%|███       | 1182/3786 [01:46<03:57, 10.98ex/s]



preprocess datasets #3:  88%|████████▊ | 3318/3786 [01:46<00:13, 33.79ex/s]




preprocess datasets #4:  84%|████████▍ | 3176/3785 [01:46<00:25, 24.22ex/s]



preprocess datasets #3:  88%|████████▊ | 3324/3786 [01:46<00:11, 40.41ex/s]

preprocess datasets #1:  32%|███▏      | 1214/3786 [01:46<04:17,  9.99ex/s]
preprocess datasets #0:  31%|███▏      | 1184/3786 [01:46<04:11, 10.33ex/s]




preprocess datasets #4:  84%|████████▍ | 3180/3785 [01:46<00:22, 27.04ex/s]



preprocess datasets #3:  88%|████████▊ | 3329/3786 [01:46<00:11, 40.04ex/s]




preprocess datasets #4:  84%|████████▍ | 3183/3785 [01:46<00:22, 27.05ex/s]


preprocess datasets #2:  79%|███████▉  | 3002/3786 [01:46<01:27,  8.98ex/s]

preprocess datasets #1:  32%|███▏      | 1216/3786 [01:46<04:17,  9.99ex/s]
preprocess datasets #0:  31%|███▏      | 1186/3786 [01:46<04:16, 10.12ex/s]



preprocess datasets #3:  88%|████████▊ | 3334/3786 [01:46<00:11, 39.31ex/s]




preprocess datasets #4:  84%|████████▍ | 3188/3785 [01:46<00:20, 28.64ex/s]


preprocess datasets #2:  79%|███████▉  | 3007/3786 [01:46<00:59, 13.06ex/s]



preprocess datasets #3:  88%|████████▊ | 3340/3786 [01:46<00:10, 40.92ex/s]


preprocess datasets #2:  80%|███████▉  | 3011/3786 [01:46<00:47, 16.48ex/s]
preprocess datasets #0:  31%|███▏      | 1188/3786 [01:46<04:13, 10.24ex/s]

preprocess datasets #1:  32%|███▏      | 1218/3786 [01:46<04:32,  9.43ex/s]




preprocess datasets #4:  84%|████████▍ | 3191/3785 [01:46<00:22, 26.07ex/s]



preprocess datasets #3:  88%|████████▊ | 3345/3786 [01:46<00:10, 41.63ex/s]

preprocess datasets #1:  32%|███▏      | 1219/3786 [01:46<04:34,  9.35ex/s]


preprocess datasets #2:  80%|███████▉  | 3015/3786 [01:46<00:40, 19.17ex/s]
preprocess datasets #0:  31%|███▏      | 1191/3786 [01:47<03:37, 11.91ex/s]



preprocess datasets #3:  88%|████████▊ | 3350/3786 [01:46<00:10, 39.72ex/s]




preprocess datasets #4:  84%|████████▍ | 3194/3785 [01:47<00:28, 20.67ex/s]


preprocess datasets #2:  80%|███████▉  | 3021/3786 [01:47<00:30, 25.33ex/s]

preprocess datasets #1:  32%|███▏      | 1221/3786 [01:47<03:59, 10.72ex/s]



preprocess datasets #3:  89%|████████▊ | 3355/3786 [01:47<00:11, 38.37ex/s]


preprocess datasets #2:  80%|███████▉  | 3025/3786 [01:47<00:28, 26.80ex/s]
preprocess datasets #0:  32%|███▏      | 1193/3786 [01:47<03:45, 11.51ex/s]




preprocess datasets #4:  85%|████████▍ | 3199/3785 [01:47<00:24, 24.29ex/s]

preprocess datasets #1:  32%|███▏      | 1223/3786 [01:47<03:39, 11.65ex/s]



preprocess datasets #3:  89%|████████▉ | 3361/3786 [01:47<00:10, 42.03ex/s]


preprocess datasets #2:  80%|████████  | 3031/3786 [01:47<00:24, 31.36ex/s]




preprocess datasets #4:  85%|████████▍ | 3202/3785 [01:47<00:27, 20.94ex/s]



preprocess datasets #3:  89%|████████▉ | 3366/3786 [01:47<00:10, 39.82ex/s]


preprocess datasets #2:  80%|████████  | 3035/3786 [01:47<00:22, 32.70ex/s]

preprocess datasets #1:  32%|███▏      | 1225/3786 [01:47<04:16,  9.97ex/s]




preprocess datasets #4:  85%|████████▍ | 3205/3785 [01:47<00:26, 22.11ex/s]


preprocess datasets #2:  80%|████████  | 3042/3786 [01:47<00:17, 41.36ex/s]



preprocess datasets #3:  89%|████████▉ | 3371/3786 [01:47<00:10, 39.45ex/s]
preprocess datasets #0:  32%|███▏      | 1195/3786 [01:47<04:52,  8.85ex/s]


preprocess datasets #2:  81%|████████  | 3050/3786 [01:47<00:15, 48.30ex/s]
preprocess datasets #0:  32%|███▏      | 1196/3786 [01:47<04:50,  8.91ex/s]



preprocess datasets #3:  89%|████████▉ | 3375/3786 [01:47<00:10, 37.83ex/s]

preprocess datasets #1:  32%|███▏      | 1227/3786 [01:47<04:18,  9.89ex/s]




preprocess datasets #4:  85%|████████▍ | 3209/3785 [01:47<00:25, 23.04ex/s]



preprocess datasets #3:  89%|████████▉ | 3379/3786 [01:47<00:11, 36.65ex/s]




preprocess datasets #4:  85%|████████▍ | 3214/3785 [01:47<00:20, 28.35ex/s]


preprocess datasets #2:  81%|████████  | 3056/3786 [01:47<00:16, 45.56ex/s]

preprocess datasets #1:  32%|███▏      | 1229/3786 [01:47<03:53, 10.93ex/s]
preprocess datasets #0:  32%|███▏      | 1198/3786 [01:47<04:39,  9.28ex/s]


preprocess datasets #2:  81%|████████  | 3063/3786 [01:47<00:14, 49.35ex/s]



preprocess datasets #3:  89%|████████▉ | 3383/3786 [01:47<00:12, 32.94ex/s]




preprocess datasets #4:  85%|████████▌ | 3219/3785 [01:47<00:19, 29.17ex/s]

preprocess datasets #1:  33%|███▎      | 1231/3786 [01:47<03:39, 11.66ex/s]
preprocess datasets #0:  32%|███▏      | 1200/3786 [01:48<04:17, 10.06ex/s]


preprocess datasets #2:  81%|████████  | 3070/3786 [01:48<00:14, 50.93ex/s]



preprocess datasets #3:  89%|████████▉ | 3388/3786 [01:48<00:11, 35.10ex/s]




preprocess datasets #4:  85%|████████▌ | 3223/3785 [01:48<00:18, 30.25ex/s]

preprocess datasets #1:  33%|███▎      | 1234/3786 [01:48<02:58, 14.27ex/s]



preprocess datasets #3:  90%|████████▉ | 3392/3786 [01:48<00:11, 34.73ex/s]


preprocess datasets #2:  81%|████████  | 3076/3786 [01:48<00:14, 48.09ex/s]




preprocess datasets #4:  85%|████████▌ | 3227/3785 [01:48<00:19, 28.80ex/s]
preprocess datasets #0:  32%|███▏      | 1202/3786 [01:48<04:25,  9.72ex/s]

preprocess datasets #1:  33%|███▎      | 1236/3786 [01:48<02:58, 14.28ex/s]



preprocess datasets #3:  90%|████████▉ | 3396/3786 [01:48<00:11, 34.43ex/s]


preprocess datasets #2:  81%|████████▏ | 3081/3786 [01:48<00:14, 47.94ex/s]




preprocess datasets #4:  85%|████████▌ | 3230/3785 [01:48<00:20, 26.72ex/s]

preprocess datasets #1:  33%|███▎      | 1238/3786 [01:48<03:01, 14.01ex/s]



preprocess datasets #3:  90%|████████▉ | 3400/3786 [01:48<00:11, 34.67ex/s]


preprocess datasets #2:  82%|████████▏ | 3086/3786 [01:48<00:16, 41.94ex/s]
preprocess datasets #0:  32%|███▏      | 1204/3786 [01:48<04:47,  8.98ex/s]



preprocess datasets #3:  90%|████████▉ | 3404/3786 [01:48<00:10, 35.85ex/s]




preprocess datasets #4:  85%|████████▌ | 3233/3785 [01:48<00:22, 24.63ex/s]


preprocess datasets #2:  82%|████████▏ | 3091/3786 [01:48<00:17, 39.34ex/s]




preprocess datasets #4:  85%|████████▌ | 3236/3785 [01:48<00:23, 23.76ex/s]

preprocess datasets #1:  33%|███▎      | 1240/3786 [01:48<03:48, 11.14ex/s]



preprocess datasets #3:  90%|█████████ | 3408/3786 [01:48<00:11, 31.56ex/s]


preprocess datasets #2:  82%|████████▏ | 3096/3786 [01:48<00:16, 41.57ex/s]
preprocess datasets #0:  32%|███▏      | 1206/3786 [01:48<04:45,  9.02ex/s]




preprocess datasets #4:  86%|████████▌ | 3241/3785 [01:48<00:19, 27.34ex/s]


preprocess datasets #2:  82%|████████▏ | 3101/3786 [01:48<00:15, 42.85ex/s]



preprocess datasets #3:  90%|█████████ | 3414/3786 [01:48<00:10, 34.11ex/s]

preprocess datasets #1:  33%|███▎      | 1242/3786 [01:48<03:50, 11.02ex/s]
preprocess datasets #0:  32%|███▏      | 1207/3786 [01:48<04:56,  8.70ex/s]




preprocess datasets #4:  86%|████████▌ | 3244/3785 [01:48<00:20, 26.91ex/s]


preprocess datasets #2:  82%|████████▏ | 3109/3786 [01:48<00:13, 51.29ex/s]

preprocess datasets #1:  33%|███▎      | 1244/3786 [01:48<03:34, 11.85ex/s]
preprocess datasets #0:  32%|███▏      | 1208/3786 [01:49<05:07,  8.38ex/s]



preprocess datasets #3:  90%|█████████ | 3418/3786 [01:48<00:12, 30.48ex/s]




preprocess datasets #4:  86%|████████▌ | 3247/3785 [01:48<00:19, 27.27ex/s]


preprocess datasets #2:  82%|████████▏ | 3115/3786 [01:49<00:13, 51.03ex/s]
preprocess datasets #0:  32%|███▏      | 1209/3786 [01:49<05:08,  8.34ex/s]




preprocess datasets #4:  86%|████████▌ | 3250/3785 [01:49<00:20, 26.23ex/s]

preprocess datasets #1:  33%|███▎      | 1246/3786 [01:49<03:40, 11.52ex/s]


preprocess datasets #2:  82%|████████▏ | 3121/3786 [01:49<00:13, 47.76ex/s]



preprocess datasets #3:  90%|█████████ | 3422/3786 [01:49<00:14, 25.90ex/s]
preprocess datasets #0:  32%|███▏      | 1210/3786 [01:49<05:06,  8.42ex/s]




preprocess datasets #4:  86%|████████▌ | 3254/3785 [01:49<00:18, 28.45ex/s]



preprocess datasets #3:  90%|█████████ | 3425/3786 [01:49<00:13, 26.69ex/s]


preprocess datasets #2:  83%|████████▎ | 3126/3786 [01:49<00:15, 43.23ex/s]
preprocess datasets #0:  32%|███▏      | 1211/3786 [01:49<05:01,  8.55ex/s]




preprocess datasets #4:  86%|████████▌ | 3258/3785 [01:49<00:17, 30.18ex/s]

preprocess datasets #1:  33%|███▎      | 1248/3786 [01:49<03:55, 10.76ex/s]



preprocess datasets #3:  91%|█████████ | 3428/3786 [01:49<00:13, 26.09ex/s]


preprocess datasets #2:  83%|████████▎ | 3131/3786 [01:49<00:15, 43.49ex/s]
preprocess datasets #0:  32%|███▏      | 1212/3786 [01:49<05:03,  8.47ex/s]




preprocess datasets #4:  86%|████████▌ | 3262/3785 [01:49<00:17, 29.97ex/s]

preprocess datasets #1:  33%|███▎      | 1250/3786 [01:49<03:40, 11.51ex/s]


preprocess datasets #2:  83%|████████▎ | 3136/3786 [01:49<00:14, 43.47ex/s]



preprocess datasets #3:  91%|█████████ | 3433/3786 [01:49<00:12, 28.07ex/s]
preprocess datasets #0:  32%|███▏      | 1213/3786 [01:49<05:38,  7.60ex/s]




preprocess datasets #4:  86%|████████▋ | 3268/3785 [01:49<00:14, 34.91ex/s]

preprocess datasets #1:  33%|███▎      | 1252/3786 [01:49<03:34, 11.81ex/s]


preprocess datasets #2:  83%|████████▎ | 3141/3786 [01:49<00:15, 41.32ex/s]



preprocess datasets #3:  91%|█████████ | 3436/3786 [01:49<00:13, 26.77ex/s]
preprocess datasets #0:  32%|███▏      | 1214/3786 [01:49<05:37,  7.63ex/s]




preprocess datasets #4:  86%|████████▋ | 3272/3785 [01:49<00:15, 33.85ex/s]


preprocess datasets #2:  83%|████████▎ | 3146/3786 [01:49<00:14, 43.20ex/s]

preprocess datasets #1:  33%|███▎      | 1254/3786 [01:49<03:17, 12.81ex/s]
preprocess datasets #0:  32%|███▏      | 1215/3786 [01:49<05:20,  8.02ex/s]




preprocess datasets #4:  87%|████████▋ | 3276/3785 [01:49<00:14, 34.38ex/s]



preprocess datasets #3:  91%|█████████ | 3440/3786 [01:49<00:13, 25.42ex/s]


preprocess datasets #2:  83%|████████▎ | 3154/3786 [01:49<00:12, 50.19ex/s]
preprocess datasets #0:  32%|███▏      | 1217/3786 [01:49<03:57, 10.80ex/s]

preprocess datasets #1:  33%|███▎      | 1256/3786 [01:49<03:19, 12.71ex/s]




preprocess datasets #4:  87%|████████▋ | 3280/3785 [01:49<00:14, 35.12ex/s]



preprocess datasets #3:  91%|█████████ | 3444/3786 [01:49<00:12, 27.26ex/s]


preprocess datasets #2:  84%|████████▎ | 3162/3786 [01:50<00:11, 54.56ex/s]
preprocess datasets #0:  32%|███▏      | 1219/3786 [01:50<03:42, 11.51ex/s]



preprocess datasets #3:  91%|█████████ | 3449/3786 [01:50<00:10, 30.98ex/s]

preprocess datasets #1:  33%|███▎      | 1258/3786 [01:50<03:20, 12.58ex/s]




preprocess datasets #4:  87%|████████▋ | 3284/3785 [01:50<00:16, 31.25ex/s]


preprocess datasets #2:  84%|████████▎ | 3168/3786 [01:50<00:12, 48.90ex/s]



preprocess datasets #3:  91%|█████████ | 3453/3786 [01:50<00:11, 30.13ex/s]


preprocess datasets #2:  84%|████████▍ | 3173/3786 [01:50<00:13, 43.89ex/s]




preprocess datasets #4:  87%|████████▋ | 3288/3785 [01:50<00:18, 26.94ex/s]

preprocess datasets #1:  33%|███▎      | 1260/3786 [01:50<03:42, 11.37ex/s]
preprocess datasets #0:  32%|███▏      | 1221/3786 [01:50<04:08, 10.32ex/s]



preprocess datasets #3:  91%|█████████▏| 3458/3786 [01:50<00:09, 34.16ex/s]


preprocess datasets #2:  84%|████████▍ | 3178/3786 [01:50<00:13, 45.15ex/s]




preprocess datasets #4:  87%|████████▋ | 3292/3785 [01:50<00:18, 27.31ex/s]



preprocess datasets #3:  91%|█████████▏| 3462/3786 [01:50<00:09, 34.98ex/s]
preprocess datasets #0:  32%|███▏      | 1223/3786 [01:50<04:03, 10.53ex/s]

preprocess datasets #1:  33%|███▎      | 1262/3786 [01:50<03:50, 10.94ex/s]


preprocess datasets #2:  84%|████████▍ | 3183/3786 [01:50<00:14, 42.50ex/s]



preprocess datasets #3:  92%|█████████▏| 3466/3786 [01:50<00:09, 34.66ex/s]




preprocess datasets #4:  87%|████████▋ | 3296/3785 [01:50<00:17, 28.38ex/s]

preprocess datasets #1:  33%|███▎      | 1264/3786 [01:50<03:27, 12.17ex/s]



preprocess datasets #3:  92%|█████████▏| 3470/3786 [01:50<00:09, 33.78ex/s]


preprocess datasets #2:  84%|████████▍ | 3188/3786 [01:50<00:15, 39.44ex/s]




preprocess datasets #4:  87%|████████▋ | 3300/3785 [01:50<00:16, 29.24ex/s]
preprocess datasets #0:  32%|███▏      | 1225/3786 [01:50<04:19,  9.89ex/s]

preprocess datasets #1:  33%|███▎      | 1266/3786 [01:50<03:30, 11.99ex/s]




preprocess datasets #4:  87%|████████▋ | 3303/3785 [01:50<00:16, 29.01ex/s]



preprocess datasets #3:  92%|█████████▏| 3474/3786 [01:50<00:10, 31.06ex/s]


preprocess datasets #2:  84%|████████▍ | 3193/3786 [01:50<00:16, 35.58ex/s]
preprocess datasets #0:  32%|███▏      | 1227/3786 [01:50<04:11, 10.18ex/s]




preprocess datasets #4:  87%|████████▋ | 3307/3785 [01:50<00:15, 31.02ex/s]

preprocess datasets #1:  33%|███▎      | 1268/3786 [01:50<03:23, 12.37ex/s]


preprocess datasets #2:  84%|████████▍ | 3197/3786 [01:51<00:17, 34.64ex/s]



preprocess datasets #3:  92%|█████████▏| 3478/3786 [01:51<00:10, 28.39ex/s]
preprocess datasets #0:  32%|███▏      | 1229/3786 [01:51<03:58, 10.73ex/s]




preprocess datasets #4:  87%|████████▋ | 3311/3785 [01:51<00:16, 28.79ex/s]

preprocess datasets #1:  34%|███▎      | 1270/3786 [01:51<03:35, 11.70ex/s]


preprocess datasets #2:  85%|████████▍ | 3201/3786 [01:51<00:18, 31.91ex/s]



preprocess datasets #3:  92%|█████████▏| 3481/3786 [01:51<00:11, 25.64ex/s]




preprocess datasets #4:  88%|████████▊ | 3314/3785 [01:51<00:18, 25.63ex/s]


preprocess datasets #2:  85%|████████▍ | 3205/3786 [01:51<00:18, 30.96ex/s]



preprocess datasets #3:  92%|█████████▏| 3484/3786 [01:51<00:12, 24.29ex/s]

preprocess datasets #1:  34%|███▎      | 1272/3786 [01:51<03:48, 11.02ex/s]
preprocess datasets #0:  33%|███▎      | 1231/3786 [01:51<04:41,  9.09ex/s]




preprocess datasets #4:  88%|████████▊ | 3318/3785 [01:51<00:17, 26.21ex/s]


preprocess datasets #2:  85%|████████▍ | 3209/3786 [01:51<00:19, 30.16ex/s]



preprocess datasets #3:  92%|█████████▏| 3489/3786 [01:51<00:10, 28.20ex/s]

preprocess datasets #1:  34%|███▎      | 1274/3786 [01:51<03:30, 11.93ex/s]
preprocess datasets #0:  33%|███▎      | 1233/3786 [01:51<04:13, 10.08ex/s]




preprocess datasets #4:  88%|████████▊ | 3322/3785 [01:51<00:17, 26.48ex/s]



preprocess datasets #3:  92%|█████████▏| 3493/3786 [01:51<00:10, 29.20ex/s]


preprocess datasets #2:  85%|████████▍ | 3213/3786 [01:51<00:20, 27.46ex/s]




preprocess datasets #4:  88%|████████▊ | 3326/3785 [01:51<00:15, 28.93ex/s]

preprocess datasets #1:  34%|███▎      | 1276/3786 [01:51<03:30, 11.92ex/s]
preprocess datasets #0:  33%|███▎      | 1235/3786 [01:51<03:59, 10.67ex/s]


preprocess datasets #2:  85%|████████▍ | 3217/3786 [01:51<00:18, 29.98ex/s]



preprocess datasets #3:  92%|█████████▏| 3496/3786 [01:51<00:11, 26.16ex/s]




preprocess datasets #4:  88%|████████▊ | 3332/3785 [01:51<00:13, 34.70ex/s]

preprocess datasets #1:  34%|███▍      | 1278/3786 [01:51<03:08, 13.29ex/s]


preprocess datasets #2:  85%|████████▌ | 3223/3786 [01:51<00:15, 35.62ex/s]



preprocess datasets #3:  92%|█████████▏| 3499/3786 [01:51<00:10, 26.22ex/s]
preprocess datasets #0:  33%|███▎      | 1237/3786 [01:51<03:52, 10.95ex/s]




preprocess datasets #4:  88%|████████▊ | 3339/3785 [01:51<00:10, 43.21ex/s]


preprocess datasets #2:  85%|████████▌ | 3227/3786 [01:51<00:15, 36.44ex/s]

preprocess datasets #1:  34%|███▍      | 1280/3786 [01:51<03:22, 12.39ex/s]



preprocess datasets #3:  93%|█████████▎| 3503/3786 [01:51<00:10, 27.36ex/s]




preprocess datasets #4:  88%|████████▊ | 3344/3785 [01:51<00:10, 41.56ex/s]
preprocess datasets #0:  33%|███▎      | 1239/3786 [01:52<04:08, 10.26ex/s]

preprocess datasets #1:  34%|███▍      | 1282/3786 [01:52<03:07, 13.35ex/s]


preprocess datasets #2:  85%|████████▌ | 3231/3786 [01:52<00:16, 33.46ex/s]



preprocess datasets #3:  93%|█████████▎| 3506/3786 [01:52<00:10, 26.79ex/s]




preprocess datasets #4:  88%|████████▊ | 3349/3785 [01:52<00:10, 42.07ex/s]



preprocess datasets #3:  93%|█████████▎| 3510/3786 [01:52<00:09, 29.88ex/s]
preprocess datasets #0:  33%|███▎      | 1241/3786 [01:52<04:01, 10.56ex/s]


preprocess datasets #2:  85%|████████▌ | 3235/3786 [01:52<00:18, 29.55ex/s]




preprocess datasets #4:  89%|████████▊ | 3354/3785 [01:52<00:10, 39.21ex/s]



preprocess datasets #3:  93%|█████████▎| 3514/3786 [01:52<00:09, 29.19ex/s]

preprocess datasets #1:  34%|███▍      | 1284/3786 [01:52<04:03, 10.26ex/s]


preprocess datasets #2:  86%|████████▌ | 3239/3786 [01:52<00:18, 30.00ex/s]



preprocess datasets #3:  93%|█████████▎| 3518/3786 [01:52<00:08, 30.09ex/s]




preprocess datasets #4:  89%|████████▊ | 3359/3785 [01:52<00:13, 32.39ex/s]
preprocess datasets #0:  33%|███▎      | 1243/3786 [01:52<04:15,  9.95ex/s]

preprocess datasets #1:  34%|███▍      | 1286/3786 [01:52<03:43, 11.16ex/s]


preprocess datasets #2:  86%|████████▌ | 3243/3786 [01:52<00:19, 28.31ex/s]




preprocess datasets #4:  89%|████████▉ | 3363/3785 [01:52<00:13, 30.94ex/s]
preprocess datasets #0:  33%|███▎      | 1245/3786 [01:52<03:55, 10.77ex/s]



preprocess datasets #3:  93%|█████████▎| 3522/3786 [01:52<00:09, 27.64ex/s]

preprocess datasets #1:  34%|███▍      | 1288/3786 [01:52<03:20, 12.47ex/s]


preprocess datasets #2:  86%|████████▌ | 3246/3786 [01:52<00:19, 27.92ex/s]




preprocess datasets #4:  89%|████████▉ | 3367/3785 [01:52<00:13, 31.86ex/s]


preprocess datasets #2:  86%|████████▌ | 3250/3786 [01:52<00:18, 29.77ex/s]



preprocess datasets #3:  93%|█████████▎| 3525/3786 [01:52<00:10, 24.67ex/s]

preprocess datasets #1:  34%|███▍      | 1290/3786 [01:52<03:37, 11.48ex/s]




preprocess datasets #4:  89%|████████▉ | 3371/3785 [01:52<00:14, 29.21ex/s]
preprocess datasets #0:  33%|███▎      | 1247/3786 [01:52<04:33,  9.30ex/s]



preprocess datasets #3:  93%|█████████▎| 3528/3786 [01:52<00:10, 24.28ex/s]


preprocess datasets #2:  86%|████████▌ | 3254/3786 [01:52<00:19, 26.98ex/s]

preprocess datasets #1:  34%|███▍      | 1292/3786 [01:53<03:32, 11.74ex/s]



preprocess datasets #3:  93%|█████████▎| 3532/3786 [01:53<00:09, 27.78ex/s]




preprocess datasets #4:  89%|████████▉ | 3375/3785 [01:53<00:13, 29.57ex/s]


preprocess datasets #2:  86%|████████▌ | 3259/3786 [01:53<00:17, 30.52ex/s]
preprocess datasets #0:  33%|███▎      | 1249/3786 [01:53<04:45,  8.90ex/s]


preprocess datasets #2:  86%|████████▌ | 3263/3786 [01:53<00:16, 31.46ex/s]



preprocess datasets #3:  93%|█████████▎| 3535/3786 [01:53<00:10, 24.14ex/s]

preprocess datasets #1:  34%|███▍      | 1294/3786 [01:53<03:56, 10.52ex/s]




preprocess datasets #4:  89%|████████▉ | 3379/3785 [01:53<00:16, 25.18ex/s]
preprocess datasets #0:  33%|███▎      | 1250/3786 [01:53<04:42,  8.98ex/s]



preprocess datasets #3:  93%|█████████▎| 3538/3786 [01:53<00:10, 22.94ex/s]


preprocess datasets #2:  86%|████████▋ | 3267/3786 [01:53<00:18, 27.91ex/s]




preprocess datasets #4:  89%|████████▉ | 3382/3785 [01:53<00:16, 23.72ex/s]
preprocess datasets #0:  33%|███▎      | 1252/3786 [01:53<04:27,  9.48ex/s]

preprocess datasets #1:  34%|███▍      | 1296/3786 [01:53<04:11,  9.90ex/s]


preprocess datasets #2:  86%|████████▋ | 3271/3786 [01:53<00:17, 30.03ex/s]



preprocess datasets #3:  94%|█████████▎| 3543/3786 [01:53<00:09, 26.34ex/s]




preprocess datasets #4:  89%|████████▉ | 3386/3785 [01:53<00:14, 27.13ex/s]
preprocess datasets #0:  33%|███▎      | 1253/3786 [01:53<04:24,  9.58ex/s]


preprocess datasets #2:  87%|████████▋ | 3275/3786 [01:53<00:16, 30.56ex/s]



preprocess datasets #3:  94%|█████████▎| 3547/3786 [01:53<00:08, 27.11ex/s]




preprocess datasets #4:  90%|████████▉ | 3391/3785 [01:53<00:13, 28.81ex/s]

preprocess datasets #1:  34%|███▍      | 1299/3786 [01:53<03:38, 11.37ex/s]
preprocess datasets #0:  33%|███▎      | 1255/3786 [01:53<03:55, 10.76ex/s]



preprocess datasets #3:  94%|█████████▍| 3551/3786 [01:53<00:08, 29.00ex/s]


preprocess datasets #2:  87%|████████▋ | 3280/3786 [01:53<00:16, 30.39ex/s]




preprocess datasets #4:  90%|████████▉ | 3395/3785 [01:53<00:14, 26.64ex/s]

preprocess datasets #1:  34%|███▍      | 1301/3786 [01:53<03:36, 11.46ex/s]



preprocess datasets #3:  94%|█████████▍| 3554/3786 [01:53<00:08, 29.00ex/s]
preprocess datasets #0:  33%|███▎      | 1257/3786 [01:53<03:52, 10.86ex/s]


preprocess datasets #2:  87%|████████▋ | 3284/3786 [01:53<00:17, 28.53ex/s]




preprocess datasets #4:  90%|████████▉ | 3400/3785 [01:53<00:13, 29.25ex/s]



preprocess datasets #3:  94%|█████████▍| 3557/3786 [01:54<00:09, 24.22ex/s]
preprocess datasets #0:  33%|███▎      | 1259/3786 [01:54<03:44, 11.25ex/s]


preprocess datasets #2:  87%|████████▋ | 3287/3786 [01:54<00:17, 27.95ex/s]

preprocess datasets #1:  34%|███▍      | 1303/3786 [01:54<04:03, 10.21ex/s]




preprocess datasets #4:  90%|████████▉ | 3405/3785 [01:54<00:12, 30.95ex/s]



preprocess datasets #3:  94%|█████████▍| 3560/3786 [01:54<00:09, 23.89ex/s]


preprocess datasets #2:  87%|████████▋ | 3290/3786 [01:54<00:18, 26.92ex/s]
preprocess datasets #0:  33%|███▎      | 1261/3786 [01:54<03:27, 12.17ex/s]


preprocess datasets #2:  87%|████████▋ | 3293/3786 [01:54<00:18, 26.73ex/s]

preprocess datasets #1:  34%|███▍      | 1305/3786 [01:54<04:03, 10.18ex/s]



preprocess datasets #3:  94%|█████████▍| 3563/3786 [01:54<00:10, 22.02ex/s]




preprocess datasets #4:  90%|█████████ | 3409/3785 [01:54<00:14, 26.68ex/s]
preprocess datasets #0:  33%|███▎      | 1263/3786 [01:54<03:55, 10.72ex/s]

preprocess datasets #1:  35%|███▍      | 1307/3786 [01:54<03:42, 11.12ex/s]




preprocess datasets #4:  90%|█████████ | 3412/3785 [01:54<00:13, 26.77ex/s]


preprocess datasets #2:  87%|████████▋ | 3297/3786 [01:54<00:18, 26.84ex/s]



preprocess datasets #3:  94%|█████████▍| 3567/3786 [01:54<00:09, 22.94ex/s]




preprocess datasets #4:  90%|█████████ | 3416/3785 [01:54<00:12, 29.26ex/s]

preprocess datasets #1:  35%|███▍      | 1309/3786 [01:54<03:25, 12.03ex/s]


preprocess datasets #2:  87%|████████▋ | 3300/3786 [01:54<00:19, 25.26ex/s]



preprocess datasets #3:  94%|█████████▍| 3571/3786 [01:54<00:08, 25.83ex/s]




preprocess datasets #4:  90%|█████████ | 3420/3785 [01:54<00:12, 29.70ex/s]
preprocess datasets #0:  33%|███▎      | 1267/3786 [01:54<03:24, 12.34ex/s]


preprocess datasets #2:  87%|████████▋ | 3303/3786 [01:54<00:18, 25.69ex/s]

preprocess datasets #1:  35%|███▍      | 1311/3786 [01:54<03:24, 12.08ex/s]



preprocess datasets #3:  94%|█████████▍| 3574/3786 [01:54<00:08, 24.58ex/s]




preprocess datasets #4:  90%|█████████ | 3424/3785 [01:54<00:11, 31.56ex/s]


preprocess datasets #2:  87%|████████▋ | 3308/3786 [01:54<00:15, 30.96ex/s]



preprocess datasets #3:  94%|█████████▍| 3577/3786 [01:54<00:08, 23.65ex/s]




preprocess datasets #4:  91%|█████████ | 3428/3785 [01:54<00:10, 32.83ex/s]
preprocess datasets #0:  34%|███▎      | 1269/3786 [01:54<03:39, 11.47ex/s]


preprocess datasets #2:  87%|████████▋ | 3312/3786 [01:54<00:14, 32.96ex/s]

preprocess datasets #1:  35%|███▍      | 1313/3786 [01:55<04:01, 10.25ex/s]



preprocess datasets #3:  95%|█████████▍| 3582/3786 [01:54<00:07, 28.42ex/s]




preprocess datasets #4:  91%|█████████ | 3432/3785 [01:55<00:10, 32.28ex/s]


preprocess datasets #2:  88%|████████▊ | 3316/3786 [01:55<00:15, 30.09ex/s]
preprocess datasets #0:  34%|███▎      | 1271/3786 [01:55<03:44, 11.19ex/s]



preprocess datasets #3:  95%|█████████▍| 3585/3786 [01:55<00:06, 28.75ex/s]

preprocess datasets #1:  35%|███▍      | 1315/3786 [01:55<03:40, 11.20ex/s]




preprocess datasets #4:  91%|█████████ | 3436/3785 [01:55<00:11, 31.14ex/s]



preprocess datasets #3:  95%|█████████▍| 3588/3786 [01:55<00:06, 28.55ex/s]


preprocess datasets #2:  88%|████████▊ | 3320/3786 [01:55<00:17, 26.97ex/s]

preprocess datasets #1:  35%|███▍      | 1317/3786 [01:55<03:34, 11.53ex/s]




preprocess datasets #4:  91%|█████████ | 3440/3785 [01:55<00:11, 30.37ex/s]
preprocess datasets #0:  34%|███▎      | 1273/3786 [01:55<04:08, 10.11ex/s]



preprocess datasets #3:  95%|█████████▍| 3591/3786 [01:55<00:07, 24.84ex/s]




preprocess datasets #4:  91%|█████████ | 3446/3785 [01:55<00:09, 36.63ex/s]


preprocess datasets #2:  88%|████████▊ | 3323/3786 [01:55<00:19, 23.78ex/s]
preprocess datasets #0:  34%|███▎      | 1275/3786 [01:55<03:44, 11.19ex/s]



preprocess datasets #3:  95%|█████████▍| 3594/3786 [01:55<00:07, 25.87ex/s]

preprocess datasets #1:  35%|███▍      | 1319/3786 [01:55<04:00, 10.27ex/s]




preprocess datasets #4:  91%|█████████ | 3450/3785 [01:55<00:10, 32.45ex/s]


preprocess datasets #2:  88%|████████▊ | 3326/3786 [01:55<00:21, 21.81ex/s]



preprocess datasets #3:  95%|█████████▌| 3598/3786 [01:55<00:06, 27.74ex/s]




preprocess datasets #4:  91%|█████████▏| 3454/3785 [01:55<00:10, 32.00ex/s]



preprocess datasets #3:  95%|█████████▌| 3601/3786 [01:55<00:06, 26.86ex/s]
preprocess datasets #0:  34%|███▎      | 1277/3786 [01:55<04:13,  9.91ex/s]


preprocess datasets #2:  88%|████████▊ | 3329/3786 [01:55<00:21, 21.09ex/s]

preprocess datasets #1:  35%|███▍      | 1321/3786 [01:55<04:03, 10.11ex/s]




preprocess datasets #4:  91%|█████████▏| 3458/3785 [01:55<00:09, 32.83ex/s]



preprocess datasets #3:  95%|█████████▌| 3604/3786 [01:55<00:06, 27.63ex/s]


preprocess datasets #2:  88%|████████▊ | 3333/3786 [01:55<00:19, 23.29ex/s]
preprocess datasets #0:  34%|███▍      | 1279/3786 [01:55<04:14,  9.85ex/s]



preprocess datasets #3:  95%|█████████▌| 3609/3786 [01:55<00:05, 32.23ex/s]




preprocess datasets #4:  91%|█████████▏| 3462/3785 [01:55<00:09, 32.90ex/s]

preprocess datasets #1:  35%|███▍      | 1323/3786 [01:55<04:02, 10.14ex/s]


preprocess datasets #2:  88%|████████▊ | 3336/3786 [01:56<00:18, 23.90ex/s]




preprocess datasets #4:  92%|█████████▏| 3466/3785 [01:56<00:09, 32.56ex/s]

preprocess datasets #1:  35%|███▍      | 1325/3786 [01:56<03:42, 11.06ex/s]



preprocess datasets #3:  95%|█████████▌| 3613/3786 [01:56<00:05, 29.08ex/s]
preprocess datasets #0:  34%|███▍      | 1281/3786 [01:56<04:14,  9.84ex/s]


preprocess datasets #2:  88%|████████▊ | 3340/3786 [01:56<00:17, 25.29ex/s]




preprocess datasets #4:  92%|█████████▏| 3470/3785 [01:56<00:09, 32.83ex/s]



preprocess datasets #3:  96%|█████████▌| 3616/3786 [01:56<00:05, 28.45ex/s]


preprocess datasets #2:  88%|████████▊ | 3343/3786 [01:56<00:17, 25.76ex/s]
preprocess datasets #0:  34%|███▍      | 1283/3786 [01:56<03:40, 11.36ex/s]

preprocess datasets #1:  35%|███▌      | 1327/3786 [01:56<03:37, 11.32ex/s]




preprocess datasets #4:  92%|█████████▏| 3475/3785 [01:56<00:08, 37.21ex/s]



preprocess datasets #3:  96%|█████████▌| 3619/3786 [01:56<00:06, 27.07ex/s]


preprocess datasets #2:  88%|████████▊ | 3346/3786 [01:56<00:16, 26.58ex/s]

preprocess datasets #1:  35%|███▌      | 1329/3786 [01:56<03:26, 11.91ex/s]




preprocess datasets #4:  92%|█████████▏| 3480/3785 [01:56<00:08, 37.51ex/s]
preprocess datasets #0:  34%|███▍      | 1285/3786 [01:56<03:52, 10.78ex/s]


preprocess datasets #2:  88%|████████▊ | 3349/3786 [01:56<00:16, 26.92ex/s]



preprocess datasets #3:  96%|█████████▌| 3623/3786 [01:56<00:05, 28.67ex/s]

preprocess datasets #1:  35%|███▌      | 1331/3786 [01:56<03:12, 12.79ex/s]




preprocess datasets #4:  92%|█████████▏| 3484/3785 [01:56<00:08, 35.69ex/s]



preprocess datasets #3:  96%|█████████▌| 3627/3786 [01:56<00:05, 31.07ex/s]


preprocess datasets #2:  89%|████████▊ | 3353/3786 [01:56<00:14, 29.09ex/s]

preprocess datasets #1:  35%|███▌      | 1333/3786 [01:56<03:05, 13.26ex/s]


preprocess datasets #2:  89%|████████▊ | 3359/3786 [01:56<00:11, 35.76ex/s]




preprocess datasets #4:  92%|█████████▏| 3488/3785 [01:56<00:09, 31.82ex/s]
preprocess datasets #0:  34%|███▍      | 1287/3786 [01:56<04:15,  9.78ex/s]



preprocess datasets #3:  96%|█████████▌| 3631/3786 [01:56<00:05, 30.23ex/s]


preprocess datasets #2:  89%|████████▉ | 3363/3786 [01:56<00:11, 36.26ex/s]




preprocess datasets #4:  92%|█████████▏| 3492/3785 [01:56<00:09, 31.18ex/s]

preprocess datasets #1:  35%|███▌      | 1335/3786 [01:56<03:15, 12.56ex/s]



preprocess datasets #3:  96%|█████████▌| 3635/3786 [01:56<00:05, 29.28ex/s]
preprocess datasets #0:  34%|███▍      | 1289/3786 [01:56<04:04, 10.20ex/s]

preprocess datasets #1:  35%|███▌      | 1337/3786 [01:57<03:06, 13.12ex/s]


preprocess datasets #2:  89%|████████▉ | 3367/3786 [01:57<00:13, 30.00ex/s]




preprocess datasets #4:  92%|█████████▏| 3496/3785 [01:56<00:10, 28.69ex/s]



preprocess datasets #3:  96%|█████████▌| 3638/3786 [01:57<00:05, 25.91ex/s]
preprocess datasets #0:  34%|███▍      | 1291/3786 [01:57<03:41, 11.28ex/s]


preprocess datasets #2:  89%|████████▉ | 3371/3786 [01:57<00:13, 30.67ex/s]

preprocess datasets #1:  35%|███▌      | 1339/3786 [01:57<02:57, 13.76ex/s]
preprocess datasets #0:  34%|███▍      | 1293/3786 [01:57<03:17, 12.64ex/s]




preprocess datasets #4:  92%|█████████▏| 3500/3785 [01:57<00:09, 29.45ex/s]



preprocess datasets #3:  96%|█████████▌| 3644/3786 [01:57<00:04, 32.33ex/s]



preprocess datasets #3:  96%|█████████▋| 3650/3786 [01:57<00:03, 37.06ex/s]

preprocess datasets #1:  35%|███▌      | 1341/3786 [01:57<03:06, 13.14ex/s]


preprocess datasets #2:  89%|████████▉ | 3375/3786 [01:57<00:14, 27.86ex/s]
preprocess datasets #0:  34%|███▍      | 1295/3786 [01:57<03:20, 12.45ex/s]




preprocess datasets #4:  93%|█████████▎| 3504/3785 [01:57<00:10, 27.02ex/s]



preprocess datasets #3:  97%|█████████▋| 3655/3786 [01:57<00:03, 38.90ex/s]




preprocess datasets #4:  93%|█████████▎| 3507/3785 [01:57<00:10, 27.59ex/s]


preprocess datasets #2:  89%|████████▉ | 3378/3786 [01:57<00:15, 25.94ex/s]

preprocess datasets #1:  35%|███▌      | 1343/3786 [01:57<03:15, 12.52ex/s]
preprocess datasets #0:  34%|███▍      | 1297/3786 [01:57<03:32, 11.73ex/s]



preprocess datasets #3:  97%|█████████▋| 3659/3786 [01:57<00:03, 34.95ex/s]




preprocess datasets #4:  93%|█████████▎| 3511/3785 [01:57<00:09, 29.46ex/s]


preprocess datasets #2:  89%|████████▉ | 3381/3786 [01:57<00:15, 25.98ex/s]



preprocess datasets #3:  97%|█████████▋| 3663/3786 [01:57<00:03, 33.08ex/s]


preprocess datasets #2:  89%|████████▉ | 3385/3786 [01:57<00:14, 28.05ex/s]

preprocess datasets #1:  36%|███▌      | 1345/3786 [01:57<03:31, 11.56ex/s]




preprocess datasets #4:  93%|█████████▎| 3515/3785 [01:57<00:09, 28.46ex/s]
preprocess datasets #0:  34%|███▍      | 1299/3786 [01:57<03:38, 11.38ex/s]



preprocess datasets #3:  97%|█████████▋| 3668/3786 [01:57<00:03, 36.93ex/s]


preprocess datasets #2:  89%|████████▉ | 3388/3786 [01:57<00:14, 27.10ex/s]




preprocess datasets #4:  93%|█████████▎| 3518/3785 [01:57<00:09, 27.66ex/s]
preprocess datasets #0:  34%|███▍      | 1301/3786 [01:57<03:32, 11.71ex/s]

preprocess datasets #1:  36%|███▌      | 1347/3786 [01:57<03:31, 11.52ex/s]




preprocess datasets #4:  93%|█████████▎| 3522/3785 [01:57<00:08, 29.71ex/s]



preprocess datasets #3:  97%|█████████▋| 3672/3786 [01:57<00:03, 33.21ex/s]


preprocess datasets #2:  90%|████████▉ | 3391/3786 [01:57<00:15, 25.64ex/s]
preprocess datasets #0:  34%|███▍      | 1303/3786 [01:57<03:07, 13.26ex/s]

preprocess datasets #1:  36%|███▌      | 1349/3786 [01:58<03:17, 12.31ex/s]



preprocess datasets #3:  97%|█████████▋| 3676/3786 [01:58<00:03, 34.11ex/s]




preprocess datasets #4:  93%|█████████▎| 3526/3785 [01:58<00:08, 31.04ex/s]


preprocess datasets #2:  90%|████████▉ | 3394/3786 [01:58<00:16, 23.93ex/s]



preprocess datasets #3:  97%|█████████▋| 3681/3786 [01:58<00:02, 37.28ex/s]




preprocess datasets #4:  93%|█████████▎| 3530/3785 [01:58<00:08, 31.54ex/s]


preprocess datasets #2:  90%|████████▉ | 3397/3786 [01:58<00:15, 25.21ex/s]

preprocess datasets #1:  36%|███▌      | 1351/3786 [01:58<03:29, 11.63ex/s]
preprocess datasets #0:  34%|███▍      | 1305/3786 [01:58<03:39, 11.31ex/s]




preprocess datasets #4:  93%|█████████▎| 3534/3785 [01:58<00:07, 32.50ex/s]



preprocess datasets #3:  97%|█████████▋| 3685/3786 [01:58<00:02, 35.11ex/s]


preprocess datasets #2:  90%|████████▉ | 3402/3786 [01:58<00:13, 29.40ex/s]
preprocess datasets #0:  35%|███▍      | 1307/3786 [01:58<03:31, 11.70ex/s]

preprocess datasets #1:  36%|███▌      | 1353/3786 [01:58<03:46, 10.76ex/s]




preprocess datasets #4:  93%|█████████▎| 3538/3785 [01:58<00:07, 32.04ex/s]


preprocess datasets #2:  90%|█████████ | 3408/3786 [01:58<00:10, 35.39ex/s]



preprocess datasets #3:  97%|█████████▋| 3689/3786 [01:58<00:03, 31.37ex/s]
preprocess datasets #0:  35%|███▍      | 1309/3786 [01:58<03:18, 12.49ex/s]

preprocess datasets #1:  36%|███▌      | 1355/3786 [01:58<03:18, 12.24ex/s]


preprocess datasets #2:  90%|█████████ | 3412/3786 [01:58<00:10, 35.61ex/s]




preprocess datasets #4:  94%|█████████▎| 3542/3785 [01:58<00:08, 29.94ex/s]



preprocess datasets #3:  98%|█████████▊| 3693/3786 [01:58<00:03, 30.25ex/s]
preprocess datasets #0:  35%|███▍      | 1311/3786 [01:58<03:19, 12.38ex/s]


preprocess datasets #2:  90%|█████████ | 3417/3786 [01:58<00:09, 38.18ex/s]

preprocess datasets #1:  36%|███▌      | 1357/3786 [01:58<03:12, 12.62ex/s]




preprocess datasets #4:  94%|█████████▎| 3546/3785 [01:58<00:07, 30.56ex/s]



preprocess datasets #3:  98%|█████████▊| 3697/3786 [01:58<00:03, 27.29ex/s]
preprocess datasets #0:  35%|███▍      | 1313/3786 [01:58<03:13, 12.79ex/s]


preprocess datasets #2:  90%|█████████ | 3421/3786 [01:58<00:10, 33.94ex/s]

preprocess datasets #1:  36%|███▌      | 1359/3786 [01:58<03:10, 12.72ex/s]




preprocess datasets #4:  94%|█████████▍| 3550/3785 [01:58<00:07, 29.73ex/s]



preprocess datasets #3:  98%|█████████▊| 3701/3786 [01:58<00:02, 28.86ex/s]
preprocess datasets #0:  35%|███▍      | 1315/3786 [01:59<03:22, 12.21ex/s]




preprocess datasets #4:  94%|█████████▍| 3554/3785 [01:58<00:08, 28.59ex/s]

preprocess datasets #1:  36%|███▌      | 1361/3786 [01:59<03:13, 12.53ex/s]


preprocess datasets #2:  90%|█████████ | 3425/3786 [01:59<00:12, 28.15ex/s]



preprocess datasets #3:  98%|█████████▊| 3705/3786 [01:59<00:02, 28.75ex/s]




preprocess datasets #4:  94%|█████████▍| 3558/3785 [01:59<00:07, 31.05ex/s]

preprocess datasets #1:  36%|███▌      | 1363/3786 [01:59<02:55, 13.84ex/s]



preprocess datasets #3:  98%|█████████▊| 3709/3786 [01:59<00:02, 29.33ex/s]
preprocess datasets #0:  35%|███▍      | 1317/3786 [01:59<03:38, 11.29ex/s]




preprocess datasets #4:  94%|█████████▍| 3562/3785 [01:59<00:06, 32.60ex/s]


preprocess datasets #2:  91%|█████████ | 3429/3786 [01:59<00:14, 25.39ex/s]



preprocess datasets #3:  98%|█████████▊| 3712/3786 [01:59<00:02, 29.41ex/s]

preprocess datasets #1:  36%|███▌      | 1365/3786 [01:59<03:12, 12.58ex/s]




preprocess datasets #4:  94%|█████████▍| 3566/3785 [01:59<00:06, 33.48ex/s]


preprocess datasets #2:  91%|█████████ | 3433/3786 [01:59<00:13, 27.08ex/s]
preprocess datasets #0:  35%|███▍      | 1319/3786 [01:59<03:47, 10.84ex/s]



preprocess datasets #3:  98%|█████████▊| 3715/3786 [01:59<00:02, 27.27ex/s]




preprocess datasets #4:  94%|█████████▍| 3571/3785 [01:59<00:05, 36.89ex/s]

preprocess datasets #1:  36%|███▌      | 1367/3786 [01:59<03:17, 12.24ex/s]


preprocess datasets #2:  91%|█████████ | 3436/3786 [01:59<00:13, 26.11ex/s]



preprocess datasets #3:  98%|█████████▊| 3718/3786 [01:59<00:02, 27.27ex/s]




preprocess datasets #4:  94%|█████████▍| 3575/3785 [01:59<00:06, 32.61ex/s]
preprocess datasets #0:  35%|███▍      | 1321/3786 [01:59<04:01, 10.21ex/s]



preprocess datasets #3:  98%|█████████▊| 3723/3786 [01:59<00:01, 32.32ex/s]


preprocess datasets #2:  91%|█████████ | 3439/3786 [01:59<00:14, 23.44ex/s]

preprocess datasets #1:  36%|███▌      | 1369/3786 [01:59<03:30, 11.49ex/s]




preprocess datasets #4:  95%|█████████▍| 3579/3785 [01:59<00:06, 30.09ex/s]


preprocess datasets #2:  91%|█████████ | 3442/3786 [01:59<00:14, 24.51ex/s]
preprocess datasets #0:  35%|███▍      | 1323/3786 [01:59<03:50, 10.67ex/s]



preprocess datasets #3:  98%|█████████▊| 3727/3786 [01:59<00:02, 28.72ex/s]




preprocess datasets #4:  95%|█████████▍| 3583/3785 [01:59<00:06, 30.90ex/s]


preprocess datasets #2:  91%|█████████ | 3445/3786 [01:59<00:14, 23.33ex/s]

preprocess datasets #1:  36%|███▌      | 1371/3786 [01:59<03:48, 10.55ex/s]



preprocess datasets #3:  99%|█████████▊| 3730/3786 [01:59<00:02, 27.34ex/s]
preprocess datasets #0:  35%|███▍      | 1325/3786 [02:00<03:53, 10.56ex/s]




preprocess datasets #4:  95%|█████████▍| 3587/3785 [01:59<00:06, 31.44ex/s]


preprocess datasets #2:  91%|█████████ | 3449/3786 [01:59<00:13, 25.59ex/s]



preprocess datasets #3:  99%|█████████▊| 3733/3786 [02:00<00:02, 24.33ex/s]




preprocess datasets #4:  95%|█████████▍| 3591/3785 [02:00<00:06, 31.65ex/s]


preprocess datasets #2:  91%|█████████ | 3452/3786 [02:00<00:13, 25.65ex/s]

preprocess datasets #1:  36%|███▋      | 1373/3786 [02:00<04:11,  9.60ex/s]
preprocess datasets #0:  35%|███▌      | 1327/3786 [02:00<03:56, 10.38ex/s]



preprocess datasets #3:  99%|█████████▊| 3736/3786 [02:00<00:02, 23.89ex/s]


preprocess datasets #2:  91%|█████████▏| 3455/3786 [02:00<00:13, 24.01ex/s]




preprocess datasets #4:  95%|█████████▍| 3595/3785 [02:00<00:07, 26.80ex/s]



preprocess datasets #3:  99%|█████████▉| 3739/3786 [02:00<00:01, 25.06ex/s]

preprocess datasets #1:  36%|███▋      | 1376/3786 [02:00<03:33, 11.28ex/s]
preprocess datasets #0:  35%|███▌      | 1329/3786 [02:00<03:47, 10.82ex/s]




preprocess datasets #4:  95%|█████████▌| 3598/3785 [02:00<00:06, 27.50ex/s]


preprocess datasets #2:  91%|█████████▏| 3458/3786 [02:00<00:14, 22.63ex/s]



preprocess datasets #3:  99%|█████████▉| 3742/3786 [02:00<00:01, 23.16ex/s]

preprocess datasets #1:  36%|███▋      | 1378/3786 [02:00<03:29, 11.50ex/s]




preprocess datasets #4:  95%|█████████▌| 3602/3785 [02:00<00:06, 29.63ex/s]
preprocess datasets #0:  35%|███▌      | 1331/3786 [02:00<03:57, 10.35ex/s]


preprocess datasets #2:  91%|█████████▏| 3461/3786 [02:00<00:15, 21.42ex/s]




preprocess datasets #4:  95%|█████████▌| 3606/3785 [02:00<00:05, 31.10ex/s]



preprocess datasets #3:  99%|█████████▉| 3745/3786 [02:00<00:02, 19.88ex/s]


preprocess datasets #2:  91%|█████████▏| 3464/3786 [02:00<00:14, 22.50ex/s]

preprocess datasets #1:  36%|███▋      | 1380/3786 [02:00<03:59, 10.04ex/s]



preprocess datasets #3:  99%|█████████▉| 3748/3786 [02:00<00:01, 21.35ex/s]




preprocess datasets #4:  95%|█████████▌| 3610/3785 [02:00<00:06, 29.06ex/s]


preprocess datasets #2:  92%|█████████▏| 3467/3786 [02:00<00:15, 20.11ex/s]
preprocess datasets #0:  35%|███▌      | 1333/3786 [02:00<04:53,  8.36ex/s]



preprocess datasets #3:  99%|█████████▉| 3751/3786 [02:00<00:01, 21.67ex/s]




preprocess datasets #4:  95%|█████████▌| 3614/3785 [02:00<00:06, 26.97ex/s]

preprocess datasets #1:  37%|███▋      | 1382/3786 [02:00<04:03,  9.89ex/s]



preprocess datasets #3:  99%|█████████▉| 3754/3786 [02:01<00:01, 22.46ex/s]




preprocess datasets #4:  96%|█████████▌| 3618/3785 [02:01<00:05, 29.24ex/s]


preprocess datasets #2:  92%|█████████▏| 3470/3786 [02:01<00:16, 18.64ex/s]
preprocess datasets #0:  35%|███▌      | 1335/3786 [02:01<04:36,  8.86ex/s]



preprocess datasets #3:  99%|█████████▉| 3757/3786 [02:01<00:01, 24.11ex/s]

preprocess datasets #1:  37%|███▋      | 1384/3786 [02:01<04:02,  9.90ex/s]




preprocess datasets #4:  96%|█████████▌| 3623/3785 [02:01<00:04, 33.44ex/s]


preprocess datasets #2:  92%|█████████▏| 3473/3786 [02:01<00:15, 19.91ex/s]
preprocess datasets #0:  35%|███▌      | 1336/3786 [02:01<04:40,  8.74ex/s]



preprocess datasets #3:  99%|█████████▉| 3761/3786 [02:01<00:00, 26.91ex/s]

preprocess datasets #1:  37%|███▋      | 1386/3786 [02:01<03:43, 10.75ex/s]
preprocess datasets #0:  35%|███▌      | 1337/3786 [02:01<04:34,  8.91ex/s]




preprocess datasets #4:  96%|█████████▌| 3627/3785 [02:01<00:04, 31.90ex/s]


preprocess datasets #2:  92%|█████████▏| 3476/3786 [02:01<00:15, 20.13ex/s]



preprocess datasets #3:  99%|█████████▉| 3766/3786 [02:01<00:00, 28.24ex/s]

preprocess datasets #1:  37%|███▋      | 1388/3786 [02:01<03:20, 11.98ex/s]




preprocess datasets #4:  96%|█████████▌| 3631/3785 [02:01<00:04, 31.40ex/s]


preprocess datasets #2:  92%|█████████▏| 3479/3786 [02:01<00:15, 20.21ex/s]
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preprocess datasets #3: 100%|█████████▉| 3769/3786 [02:01<00:00, 27.28ex/s]




preprocess datasets #4:  96%|█████████▌| 3636/3785 [02:01<00:04, 33.01ex/s]

preprocess datasets #1:  37%|███▋      | 1390/3786 [02:01<03:18, 12.05ex/s]



preprocess datasets #3: 100%|█████████▉| 3772/3786 [02:01<00:00, 26.99ex/s]


preprocess datasets #2:  92%|█████████▏| 3483/3786 [02:01<00:14, 21.17ex/s]
preprocess datasets #0:  35%|███▌      | 1341/3786 [02:01<04:06,  9.91ex/s]




preprocess datasets #4:  96%|█████████▌| 3640/3785 [02:01<00:04, 29.42ex/s]

preprocess datasets #1:  37%|███▋      | 1392/3786 [02:01<03:18, 12.09ex/s]


preprocess datasets #2:  92%|█████████▏| 3486/3786 [02:01<00:13, 22.87ex/s]



preprocess datasets #3: 100%|█████████▉| 3775/3786 [02:01<00:00, 24.66ex/s]
preprocess datasets #0:  35%|███▌      | 1343/3786 [02:01<03:48, 10.68ex/s]

preprocess datasets #1:  37%|███▋      | 1394/3786 [02:01<02:58, 13.41ex/s]



preprocess datasets #3: 100%|█████████▉| 3778/3786 [02:01<00:00, 25.93ex/s]


preprocess datasets #2:  92%|█████████▏| 3489/3786 [02:01<00:13, 21.99ex/s]




preprocess datasets #4:  96%|█████████▋| 3644/3785 [02:01<00:04, 28.25ex/s]
preprocess datasets #0:  36%|███▌      | 1345/3786 [02:02<03:32, 11.47ex/s]




preprocess datasets #4:  96%|█████████▋| 3647/3785 [02:02<00:04, 27.70ex/s]



preprocess datasets #3: 100%|█████████▉| 3781/3786 [02:02<00:00, 24.45ex/s]


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preprocess datasets #3: 100%|█████████▉| 3784/3786 [02:02<00:00, 23.65ex/s]




preprocess datasets #4:  96%|█████████▋| 3652/3785 [02:02<00:04, 29.28ex/s]
preprocess datasets #0:  36%|███▌      | 1347/3786 [02:02<03:44, 10.85ex/s]


preprocess datasets #2:  92%|█████████▏| 3495/3786 [02:02<00:14, 20.50ex/s]
preprocess datasets #3: 100%|██████████| 3786/3786 [02:02<00:00, 30.97ex/s]





preprocess datasets #4:  97%|█████████▋| 3656/3785 [02:02<00:04, 31.40ex/s]

preprocess datasets #1:  37%|███▋      | 1398/3786 [02:02<03:32, 11.23ex/s]


preprocess datasets #2:  92%|█████████▏| 3498/3786 [02:02<00:13, 21.94ex/s]
preprocess datasets #0:  36%|███▌      | 1349/3786 [02:02<03:57, 10.25ex/s]




preprocess datasets #4:  97%|█████████▋| 3660/3785 [02:02<00:04, 30.78ex/s]

preprocess datasets #1:  37%|███▋      | 1400/3786 [02:02<03:39, 10.86ex/s]


preprocess datasets #2:  93%|█████████▎| 3503/3786 [02:02<00:11, 24.87ex/s]




preprocess datasets #4:  97%|█████████▋| 3664/3785 [02:02<00:04, 29.73ex/s]


preprocess datasets #2:  93%|█████████▎| 3507/3786 [02:02<00:10, 25.62ex/s]
preprocess datasets #0:  36%|███▌      | 1351/3786 [02:02<04:15,  9.52ex/s]




preprocess datasets #4:  97%|█████████▋| 3669/3785 [02:02<00:03, 32.79ex/s]

preprocess datasets #1:  37%|███▋      | 1402/3786 [02:02<03:49, 10.41ex/s]
preprocess datasets #0:  36%|███▌      | 1352/3786 [02:02<04:17,  9.46ex/s]


preprocess datasets #2:  93%|█████████▎| 3513/3786 [02:02<00:08, 32.38ex/s]




preprocess datasets #4:  97%|█████████▋| 3674/3785 [02:02<00:03, 36.45ex/s]


preprocess datasets #2:  93%|█████████▎| 3517/3786 [02:02<00:08, 32.98ex/s]

preprocess datasets #1:  37%|███▋      | 1404/3786 [02:02<03:43, 10.65ex/s]
preprocess datasets #0:  36%|███▌      | 1353/3786 [02:02<04:39,  8.69ex/s]




preprocess datasets #4:  97%|█████████▋| 3678/3785 [02:02<00:03, 34.99ex/s]

preprocess datasets #1:  37%|███▋      | 1406/3786 [02:03<03:37, 10.93ex/s]


preprocess datasets #2:  93%|█████████▎| 3521/3786 [02:03<00:09, 28.84ex/s]
preprocess datasets #0:  36%|███▌      | 1355/3786 [02:03<04:17,  9.43ex/s]




preprocess datasets #4:  97%|█████████▋| 3682/3785 [02:03<00:03, 29.16ex/s]

preprocess datasets #1:  37%|███▋      | 1408/3786 [02:03<03:22, 11.73ex/s]
preprocess datasets #0:  36%|███▌      | 1356/3786 [02:03<04:17,  9.44ex/s]


preprocess datasets #2:  93%|█████████▎| 3525/3786 [02:03<00:09, 28.70ex/s]




preprocess datasets #4:  97%|█████████▋| 3686/3785 [02:03<00:03, 30.15ex/s]


preprocess datasets #2:  93%|█████████▎| 3530/3786 [02:03<00:08, 31.91ex/s]

preprocess datasets #1:  37%|███▋      | 1410/3786 [02:03<03:16, 12.06ex/s]




preprocess datasets #4:  97%|█████████▋| 3690/3785 [02:03<00:03, 31.34ex/s]
preprocess datasets #0:  36%|███▌      | 1358/3786 [02:03<04:11,  9.65ex/s]


preprocess datasets #2:  93%|█████████▎| 3534/3786 [02:03<00:08, 31.07ex/s]
preprocess datasets #0:  36%|███▌      | 1359/3786 [02:03<04:12,  9.61ex/s]




preprocess datasets #4:  98%|█████████▊| 3694/3785 [02:03<00:03, 28.04ex/s]


preprocess datasets #2:  93%|█████████▎| 3538/3786 [02:03<00:07, 31.57ex/s]

preprocess datasets #1:  37%|███▋      | 1412/3786 [02:03<03:50, 10.31ex/s]
preprocess datasets #0:  36%|███▌      | 1361/3786 [02:03<03:32, 11.43ex/s]




preprocess datasets #4:  98%|█████████▊| 3697/3785 [02:03<00:03, 26.40ex/s]


preprocess datasets #2:  94%|█████████▎| 3542/3786 [02:03<00:09, 27.07ex/s]




preprocess datasets #4:  98%|█████████▊| 3700/3785 [02:03<00:03, 24.66ex/s]

preprocess datasets #1:  37%|███▋      | 1414/3786 [02:03<03:53, 10.15ex/s]


preprocess datasets #2:  94%|█████████▎| 3546/3786 [02:03<00:08, 29.38ex/s]




preprocess datasets #4:  98%|█████████▊| 3703/3785 [02:03<00:03, 25.83ex/s]
preprocess datasets #0:  36%|███▌      | 1363/3786 [02:03<04:22,  9.23ex/s]

preprocess datasets #1:  37%|███▋      | 1416/3786 [02:03<03:30, 11.27ex/s]




preprocess datasets #4:  98%|█████████▊| 3707/3785 [02:04<00:02, 27.23ex/s]


preprocess datasets #2:  94%|█████████▍| 3550/3786 [02:04<00:08, 26.35ex/s]

preprocess datasets #1:  37%|███▋      | 1418/3786 [02:04<03:20, 11.79ex/s]




preprocess datasets #4:  98%|█████████▊| 3712/3785 [02:04<00:02, 32.22ex/s]


preprocess datasets #2:  94%|█████████▍| 3554/3786 [02:04<00:08, 27.62ex/s]
preprocess datasets #0:  36%|███▌      | 1365/3786 [02:04<05:09,  7.83ex/s]




preprocess datasets #4:  98%|█████████▊| 3716/3785 [02:04<00:02, 29.91ex/s]

preprocess datasets #1:  38%|███▊      | 1420/3786 [02:04<03:35, 10.99ex/s]


preprocess datasets #2:  94%|█████████▍| 3557/3786 [02:04<00:09, 25.26ex/s]
preprocess datasets #0:  36%|███▌      | 1366/3786 [02:04<05:11,  7.77ex/s]




preprocess datasets #4:  98%|█████████▊| 3720/3785 [02:04<00:02, 31.86ex/s]

preprocess datasets #1:  38%|███▊      | 1422/3786 [02:04<03:36, 10.93ex/s]


preprocess datasets #2:  94%|█████████▍| 3560/3786 [02:04<00:09, 24.48ex/s]




preprocess datasets #4:  98%|█████████▊| 3725/3785 [02:04<00:01, 34.47ex/s]
preprocess datasets #0:  36%|███▌      | 1368/3786 [02:04<04:41,  8.60ex/s]

preprocess datasets #1:  38%|███▊      | 1424/3786 [02:04<03:14, 12.14ex/s]


preprocess datasets #2:  94%|█████████▍| 3563/3786 [02:04<00:09, 24.12ex/s]




preprocess datasets #4:  99%|█████████▊| 3729/3785 [02:04<00:01, 33.34ex/s]

preprocess datasets #1:  38%|███▊      | 1426/3786 [02:04<02:54, 13.56ex/s]
preprocess datasets #0:  36%|███▌      | 1370/3786 [02:04<04:11,  9.60ex/s]


preprocess datasets #2:  94%|█████████▍| 3566/3786 [02:04<00:09, 24.35ex/s]




preprocess datasets #4:  99%|█████████▊| 3733/3785 [02:04<00:01, 30.94ex/s]


preprocess datasets #2:  94%|█████████▍| 3570/3786 [02:04<00:08, 26.45ex/s]
preprocess datasets #0:  36%|███▌      | 1372/3786 [02:04<03:52, 10.40ex/s]

preprocess datasets #1:  38%|███▊      | 1428/3786 [02:04<03:05, 12.72ex/s]




preprocess datasets #4:  99%|█████████▊| 3737/3785 [02:04<00:01, 29.30ex/s]
preprocess datasets #0:  36%|███▋      | 1374/3786 [02:05<03:17, 12.19ex/s]


preprocess datasets #2:  94%|█████████▍| 3573/3786 [02:05<00:08, 25.50ex/s]

preprocess datasets #1:  38%|███▊      | 1430/3786 [02:05<03:01, 12.95ex/s]




preprocess datasets #4:  99%|█████████▉| 3740/3785 [02:05<00:01, 29.23ex/s]
preprocess datasets #0:  36%|███▋      | 1376/3786 [02:05<02:55, 13.72ex/s]


preprocess datasets #2:  94%|█████████▍| 3576/3786 [02:05<00:08, 25.88ex/s]




preprocess datasets #4:  99%|█████████▉| 3743/3785 [02:05<00:01, 29.39ex/s]


preprocess datasets #2:  95%|█████████▍| 3579/3786 [02:05<00:07, 26.86ex/s]

preprocess datasets #1:  38%|███▊      | 1432/3786 [02:05<03:10, 12.35ex/s]
preprocess datasets #0:  36%|███▋      | 1378/3786 [02:05<03:16, 12.26ex/s]




preprocess datasets #4:  99%|█████████▉| 3746/3785 [02:05<00:01, 25.85ex/s]


preprocess datasets #2:  95%|█████████▍| 3583/3786 [02:05<00:07, 28.51ex/s]

preprocess datasets #1:  38%|███▊      | 1434/3786 [02:05<03:02, 12.89ex/s]
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preprocess datasets #2:  95%|█████████▍| 3586/3786 [02:05<00:07, 27.84ex/s]




preprocess datasets #4:  99%|█████████▉| 3750/3785 [02:05<00:01, 27.57ex/s]

preprocess datasets #1:  38%|███▊      | 1436/3786 [02:05<02:53, 13.51ex/s]
preprocess datasets #0:  37%|███▋      | 1382/3786 [02:05<02:49, 14.21ex/s]


preprocess datasets #2:  95%|█████████▍| 3589/3786 [02:05<00:07, 27.53ex/s]




preprocess datasets #4:  99%|█████████▉| 3753/3785 [02:05<00:01, 25.09ex/s]

preprocess datasets #1:  38%|███▊      | 1438/3786 [02:05<02:48, 13.94ex/s]


preprocess datasets #2:  95%|█████████▍| 3592/3786 [02:05<00:07, 26.00ex/s]
preprocess datasets #0:  37%|███▋      | 1384/3786 [02:05<03:02, 13.14ex/s]

preprocess datasets #1:  38%|███▊      | 1440/3786 [02:05<02:50, 13.74ex/s]




preprocess datasets #4:  99%|█████████▉| 3756/3785 [02:05<00:01, 21.77ex/s]


preprocess datasets #2:  95%|█████████▍| 3595/3786 [02:05<00:07, 24.06ex/s]
preprocess datasets #0:  37%|███▋      | 1386/3786 [02:05<03:01, 13.20ex/s]

preprocess datasets #1:  38%|███▊      | 1442/3786 [02:05<02:41, 14.50ex/s]




preprocess datasets #4:  99%|█████████▉| 3759/3785 [02:05<00:01, 22.66ex/s]


preprocess datasets #2:  95%|█████████▌| 3600/3786 [02:06<00:07, 26.47ex/s]
preprocess datasets #0:  37%|███▋      | 1388/3786 [02:06<03:02, 13.11ex/s]




preprocess datasets #4:  99%|█████████▉| 3763/3785 [02:06<00:00, 24.86ex/s]

preprocess datasets #1:  38%|███▊      | 1444/3786 [02:06<02:50, 13.70ex/s]


preprocess datasets #2:  95%|█████████▌| 3603/3786 [02:06<00:07, 25.29ex/s]




preprocess datasets #4:  99%|█████████▉| 3766/3785 [02:06<00:00, 24.32ex/s]

preprocess datasets #1:  38%|███▊      | 1446/3786 [02:06<02:39, 14.71ex/s]


preprocess datasets #2:  95%|█████████▌| 3606/3786 [02:06<00:06, 26.15ex/s]
preprocess datasets #0:  37%|███▋      | 1390/3786 [02:06<03:28, 11.52ex/s]




preprocess datasets #4: 100%|█████████▉| 3769/3785 [02:06<00:00, 22.71ex/s]

preprocess datasets #1:  38%|███▊      | 1448/3786 [02:06<02:46, 14.07ex/s]


preprocess datasets #2:  95%|█████████▌| 3609/3786 [02:06<00:07, 23.29ex/s]
preprocess datasets #0:  37%|███▋      | 1392/3786 [02:06<03:27, 11.54ex/s]




preprocess datasets #4: 100%|█████████▉| 3772/3785 [02:06<00:00, 24.10ex/s]


preprocess datasets #2:  95%|█████████▌| 3612/3786 [02:06<00:07, 23.84ex/s]




preprocess datasets #4: 100%|█████████▉| 3775/3785 [02:06<00:00, 24.95ex/s]

preprocess datasets #1:  38%|███▊      | 1450/3786 [02:06<03:13, 12.05ex/s]
preprocess datasets #0:  37%|███▋      | 1394/3786 [02:06<03:32, 11.27ex/s]


preprocess datasets #2:  95%|█████████▌| 3615/3786 [02:06<00:07, 23.61ex/s]




preprocess datasets #4: 100%|█████████▉| 3779/3785 [02:06<00:00, 26.03ex/s]

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preprocess datasets #2:  96%|█████████▌| 3618/3786 [02:06<00:07, 23.75ex/s]
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preprocess datasets #4: 100%|█████████▉| 3782/3785 [02:06<00:00, 26.12ex/s]
preprocess datasets #4: 100%|██████████| 3785/3785 [02:06<00:00, 29.84ex/s]


preprocess datasets #1:  38%|███▊      | 1454/3786 [02:06<03:18, 11.73ex/s]


preprocess datasets #2:  96%|█████████▌| 3621/3786 [02:06<00:07, 23.30ex/s]
preprocess datasets #0:  37%|███▋      | 1398/3786 [02:06<03:14, 12.25ex/s]


preprocess datasets #2:  96%|█████████▌| 3624/3786 [02:07<00:07, 22.77ex/s]

preprocess datasets #1:  38%|███▊      | 1456/3786 [02:07<03:08, 12.37ex/s]
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preprocess datasets #2:  96%|█████████▌| 3627/3786 [02:07<00:06, 22.98ex/s]
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preprocess datasets #1:  39%|███▊      | 1458/3786 [02:07<03:15, 11.88ex/s]


preprocess datasets #2:  96%|█████████▌| 3630/3786 [02:07<00:06, 23.97ex/s]
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preprocess datasets #2:  96%|█████████▌| 3635/3786 [02:07<00:05, 29.94ex/s]

preprocess datasets #1:  39%|███▊      | 1460/3786 [02:07<03:31, 10.99ex/s]
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preprocess datasets #2:  96%|█████████▌| 3639/3786 [02:07<00:05, 28.78ex/s]


preprocess datasets #2:  96%|█████████▌| 3643/3786 [02:07<00:05, 28.58ex/s]

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preprocess datasets #2:  96%|█████████▋| 3646/3786 [02:07<00:05, 27.12ex/s]


preprocess datasets #2:  96%|█████████▋| 3649/3786 [02:07<00:04, 27.42ex/s]
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preprocess datasets #1:  39%|███▊      | 1464/3786 [02:07<04:12,  9.20ex/s]


preprocess datasets #2:  96%|█████████▋| 3653/3786 [02:08<00:04, 28.95ex/s]

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preprocess datasets #2:  97%|█████████▋| 3656/3786 [02:08<00:04, 28.75ex/s]

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preprocess datasets #2:  97%|█████████▋| 3659/3786 [02:08<00:04, 27.64ex/s]
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preprocess datasets #2:  97%|█████████▋| 3663/3786 [02:08<00:04, 29.89ex/s]

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preprocess datasets #1: 100%|█████████▉| 3777/3786 [05:17<00:00, 11.19ex/s]
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preprocess datasets #4:   0%|          | 0/944 [00:00<?, ?ex/s]



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<23:29,  1.49s/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 #1:   0%|          | 1/945 [00:01<24:28,  1.56s/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 #0:   0%|          | 1/945 [00:01<24:37,  1.57s/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%|          | 1/944 [00:01<24:37,  1.57s/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%|          | 1/945 [00:01<25:19,  1.61s/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 #4:   0%|          | 4/944 [00:01<04:54,  3.19ex/s]
preprocess datasets #0:   0%|          | 4/945 [00:01<05:04,  3.09ex/s]

preprocess datasets #1:   0%|          | 4/945 [00:01<05:09,  3.04ex/s]



preprocess datasets #3:   1%|          | 5/944 [00:01<04:04,  3.84ex/s]


preprocess datasets #2:   1%|          | 5/945 [00:01<04:08,  3.78ex/s]
preprocess datasets #0:   1%|          | 7/945 [00:01<02:39,  5.86ex/s]




preprocess datasets #4:   1%|          | 9/944 [00:01<01:59,  7.83ex/s]



preprocess datasets #3:   1%|          | 9/944 [00:01<02:04,  7.51ex/s]

preprocess datasets #1:   1%|          | 7/945 [00:01<02:51,  5.46ex/s]


preprocess datasets #2:   1%|          | 8/945 [00:01<02:31,  6.20ex/s]
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preprocess datasets #4:   1%|▏         | 13/944 [00:01<01:18, 11.92ex/s]



preprocess datasets #3:   1%|▏         | 14/944 [00:01<01:12, 12.83ex/s]

preprocess datasets #1:   1%|          | 10/945 [00:01<01:55,  8.12ex/s]




preprocess datasets #4:   2%|▏         | 20/944 [00:01<00:45, 20.38ex/s]
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preprocess datasets #2:   1%|          | 11/945 [00:02<01:47,  8.66ex/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 #1:   6%|▌         | 58/945 [00:04<01:03, 14.02ex/s]
preprocess datasets #0:   8%|▊         | 72/945 [00:04<00:43, 19.94ex/s]




preprocess datasets #4:  14%|█▍        | 130/944 [00:04<00:23, 34.61ex/s]


preprocess datasets #2:  11%|█▏        | 108/945 [00:04<00:25, 32.84ex/s]



preprocess datasets #3:  13%|█▎        | 127/944 [00:04<00:28, 29.08ex/s]
preprocess datasets #0:   8%|▊         | 75/945 [00:04<00:47, 18.46ex/s]




preprocess datasets #4:  14%|█▍        | 134/944 [00:04<00:27, 29.97ex/s]


preprocess datasets #2:  12%|█▏        | 112/945 [00:04<00:25, 32.39ex/s]

preprocess datasets #1:   6%|▋         | 60/945 [00:04<01:21, 10.87ex/s]



preprocess datasets #3:  14%|█▍        | 131/944 [00:04<00:29, 27.33ex/s]
preprocess datasets #0:   8%|▊         | 78/945 [00:04<00:45, 18.88ex/s]




preprocess datasets #4:  15%|█▍        | 138/944 [00:04<00:25, 31.62ex/s]


preprocess datasets #2:  12%|█▏        | 118/945 [00:04<00:22, 37.34ex/s]

preprocess datasets #1:   7%|▋         | 62/945 [00:04<01:12, 12.15ex/s]



preprocess datasets #3:  14%|█▍        | 135/944 [00:05<00:28, 28.08ex/s]
preprocess datasets #0:   9%|▊         | 81/945 [00:05<00:44, 19.46ex/s]


preprocess datasets #2:  13%|█▎        | 122/945 [00:05<00:23, 35.78ex/s]




preprocess datasets #4:  15%|█▌        | 142/944 [00:05<00:26, 30.10ex/s]

preprocess datasets #1:   7%|▋         | 64/945 [00:05<01:05, 13.42ex/s]



preprocess datasets #3:  15%|█▍        | 140/944 [00:05<00:26, 30.40ex/s]
preprocess datasets #0:   9%|▉         | 84/945 [00:05<00:41, 20.89ex/s]




preprocess datasets #4:  15%|█▌        | 146/944 [00:05<00:26, 29.95ex/s]

preprocess datasets #1:   7%|▋         | 67/945 [00:05<00:56, 15.50ex/s]


preprocess datasets #2:  13%|█▎        | 126/945 [00:05<00:26, 31.30ex/s]



preprocess datasets #3:  15%|█▌        | 144/944 [00:05<00:27, 29.12ex/s]




preprocess datasets #4:  16%|█▌        | 151/944 [00:05<00:24, 32.38ex/s]
preprocess datasets #0:   9%|▉         | 87/945 [00:05<00:44, 19.42ex/s]

preprocess datasets #1:   7%|▋         | 70/945 [00:05<00:49, 17.66ex/s]


preprocess datasets #2:  14%|█▍        | 130/945 [00:05<00:28, 28.39ex/s]



preprocess datasets #3:  16%|█▌        | 147/944 [00:05<00:27, 28.49ex/s]




preprocess datasets #4:  16%|█▋        | 155/944 [00:05<00:25, 31.23ex/s]


preprocess datasets #2:  14%|█▍        | 134/945 [00:05<00:26, 30.46ex/s]



preprocess datasets #3:  16%|█▌        | 150/944 [00:05<00:28, 27.91ex/s]

preprocess datasets #1:   8%|▊         | 72/945 [00:05<00:59, 14.79ex/s]
preprocess datasets #0:  10%|▉         | 90/945 [00:05<00:48, 17.62ex/s]

preprocess datasets #1:   8%|▊         | 74/945 [00:05<00:56, 15.37ex/s]



preprocess datasets #3:  16%|█▌        | 153/944 [00:05<00:31, 25.21ex/s]


preprocess datasets #2:  15%|█▍        | 138/945 [00:05<00:29, 27.15ex/s]




preprocess datasets #4:  17%|█▋        | 159/944 [00:05<00:31, 25.27ex/s]
preprocess datasets #0:  10%|▉         | 93/945 [00:05<00:47, 17.80ex/s]



preprocess datasets #3:  17%|█▋        | 156/944 [00:05<00:29, 26.34ex/s]

preprocess datasets #1:   8%|▊         | 76/945 [00:05<01:02, 13.92ex/s]
preprocess datasets #0:  10%|█         | 95/945 [00:05<00:50, 16.89ex/s]




preprocess datasets #4:  17%|█▋        | 162/944 [00:05<00:33, 23.62ex/s]


preprocess datasets #2:  15%|█▍        | 141/945 [00:05<00:33, 24.12ex/s]



preprocess datasets #3:  17%|█▋        | 161/944 [00:05<00:25, 31.29ex/s]




preprocess datasets #4:  17%|█▋        | 165/944 [00:05<00:31, 24.59ex/s]
preprocess datasets #0:  10%|█         | 97/945 [00:06<00:52, 16.02ex/s]


preprocess datasets #2:  15%|█▌        | 145/945 [00:05<00:30, 25.88ex/s]



preprocess datasets #3:  18%|█▊        | 166/944 [00:06<00:22, 35.16ex/s]

preprocess datasets #1:   8%|▊         | 78/945 [00:06<01:12, 11.91ex/s]




preprocess datasets #4:  18%|█▊        | 170/944 [00:06<00:26, 29.10ex/s]


preprocess datasets #2:  16%|█▌        | 150/945 [00:06<00:27, 29.09ex/s]



preprocess datasets #3:  18%|█▊        | 170/944 [00:06<00:22, 34.30ex/s]
preprocess datasets #0:  10%|█         | 99/945 [00:06<00:55, 15.35ex/s]




preprocess datasets #4:  19%|█▉        | 178/944 [00:06<00:20, 37.19ex/s]

preprocess datasets #1:   8%|▊         | 80/945 [00:06<01:12, 11.98ex/s]


preprocess datasets #2:  16%|█▋        | 154/945 [00:06<00:26, 29.76ex/s]
preprocess datasets #0:  11%|█         | 101/945 [00:06<00:55, 15.32ex/s]



preprocess datasets #3:  19%|█▊        | 175/944 [00:06<00:22, 34.69ex/s]

preprocess datasets #1:   9%|▊         | 82/945 [00:06<01:06, 13.01ex/s]




preprocess datasets #4:  19%|█▉        | 184/944 [00:06<00:19, 38.17ex/s]



preprocess datasets #3:  19%|█▉        | 179/944 [00:06<00:21, 35.97ex/s]
preprocess datasets #0:  11%|█         | 103/945 [00:06<00:58, 14.31ex/s]


preprocess datasets #2:  17%|█▋        | 158/945 [00:06<00:29, 26.55ex/s]



preprocess datasets #3:  19%|█▉        | 183/944 [00:06<00:21, 35.89ex/s]




preprocess datasets #4:  20%|█▉        | 188/944 [00:06<00:21, 35.04ex/s]

preprocess datasets #1:   9%|▉         | 84/945 [00:06<01:12, 11.93ex/s]


preprocess datasets #2:  17%|█▋        | 161/945 [00:06<00:29, 26.72ex/s]



preprocess datasets #3:  20%|█▉        | 187/944 [00:06<00:21, 35.48ex/s]
preprocess datasets #0:  11%|█         | 105/945 [00:06<01:03, 13.13ex/s]


preprocess datasets #2:  18%|█▊        | 166/945 [00:06<00:24, 32.13ex/s]

preprocess datasets #1:   9%|▉         | 86/945 [00:06<01:09, 12.41ex/s]




preprocess datasets #4:  20%|██        | 192/944 [00:06<00:25, 29.46ex/s]



preprocess datasets #3:  20%|██        | 191/944 [00:06<00:21, 34.67ex/s]
preprocess datasets #0:  11%|█▏        | 107/945 [00:06<01:03, 13.28ex/s]


preprocess datasets #2:  18%|█▊        | 170/945 [00:06<00:24, 31.97ex/s]



preprocess datasets #3:  21%|██        | 196/944 [00:06<00:22, 33.98ex/s]

preprocess datasets #1:   9%|▉         | 88/945 [00:06<01:13, 11.70ex/s]




preprocess datasets #4:  21%|██        | 196/944 [00:06<00:28, 26.63ex/s]
preprocess datasets #0:  12%|█▏        | 109/945 [00:06<01:02, 13.32ex/s]


preprocess datasets #2:  18%|█▊        | 174/945 [00:06<00:26, 28.93ex/s]




preprocess datasets #4:  21%|██        | 200/944 [00:07<00:28, 26.42ex/s]



preprocess datasets #3:  21%|██        | 200/944 [00:07<00:25, 29.33ex/s]
preprocess datasets #0:  12%|█▏        | 111/945 [00:07<01:06, 12.55ex/s]


preprocess datasets #2:  19%|█▉        | 178/945 [00:07<00:27, 27.68ex/s]

preprocess datasets #1:  10%|▉         | 90/945 [00:07<01:23, 10.29ex/s]




preprocess datasets #4:  22%|██▏       | 203/944 [00:07<00:27, 26.68ex/s]



preprocess datasets #3:  22%|██▏       | 204/944 [00:07<00:24, 29.84ex/s]


preprocess datasets #2:  19%|█▉        | 182/945 [00:07<00:27, 27.99ex/s]
preprocess datasets #0:  12%|█▏        | 113/945 [00:07<01:12, 11.52ex/s]




preprocess datasets #4:  22%|██▏       | 206/944 [00:07<00:31, 23.70ex/s]



preprocess datasets #3:  22%|██▏       | 208/944 [00:07<00:26, 27.42ex/s]


preprocess datasets #2:  20%|█▉        | 185/945 [00:07<00:28, 26.26ex/s]

preprocess datasets #1:  10%|▉         | 93/945 [00:07<01:20, 10.63ex/s]
preprocess datasets #0:  12%|█▏        | 115/945 [00:07<01:07, 12.30ex/s]




preprocess datasets #4:  22%|██▏       | 210/944 [00:07<00:28, 25.66ex/s]



preprocess datasets #3:  23%|██▎       | 213/944 [00:07<00:22, 31.79ex/s]


preprocess datasets #2:  20%|██        | 190/945 [00:07<00:24, 30.27ex/s]

preprocess datasets #1:  10%|█         | 95/945 [00:07<01:12, 11.64ex/s]




preprocess datasets #4:  23%|██▎       | 213/944 [00:07<00:28, 25.85ex/s]
preprocess datasets #0:  12%|█▏        | 117/945 [00:07<01:08, 12.08ex/s]



preprocess datasets #3:  23%|██▎       | 217/944 [00:07<00:25, 28.73ex/s]


preprocess datasets #2:  21%|██        | 194/945 [00:07<00:25, 29.07ex/s]




preprocess datasets #4:  23%|██▎       | 216/944 [00:07<00:27, 26.05ex/s]

preprocess datasets #1:  10%|█         | 97/945 [00:07<01:15, 11.20ex/s]
preprocess datasets #0:  13%|█▎        | 119/945 [00:07<01:06, 12.38ex/s]



preprocess datasets #3:  23%|██▎       | 221/944 [00:07<00:24, 29.53ex/s]


preprocess datasets #2:  21%|██        | 197/945 [00:07<00:27, 27.01ex/s]




preprocess datasets #4:  23%|██▎       | 219/944 [00:07<00:28, 25.35ex/s]

preprocess datasets #1:  10%|█         | 99/945 [00:07<01:11, 11.86ex/s]



preprocess datasets #3:  24%|██▍       | 225/944 [00:07<00:23, 31.18ex/s]
preprocess datasets #0:  13%|█▎        | 121/945 [00:07<01:04, 12.77ex/s]




preprocess datasets #4:  24%|██▎       | 223/944 [00:07<00:24, 28.87ex/s]


preprocess datasets #2:  21%|██        | 200/945 [00:07<00:30, 24.23ex/s]



preprocess datasets #3:  24%|██▍       | 229/944 [00:07<00:22, 32.31ex/s]

preprocess datasets #1:  11%|█         | 101/945 [00:08<01:07, 12.53ex/s]
preprocess datasets #0:  13%|█▎        | 123/945 [00:08<01:00, 13.68ex/s]




preprocess datasets #4:  24%|██▍       | 228/944 [00:08<00:23, 31.06ex/s]


preprocess datasets #2:  21%|██▏       | 203/945 [00:08<00:33, 22.41ex/s]

preprocess datasets #1:  11%|█         | 103/945 [00:08<01:04, 13.01ex/s]



preprocess datasets #3:  25%|██▍       | 234/944 [00:08<00:23, 30.47ex/s]
preprocess datasets #0:  13%|█▎        | 125/945 [00:08<01:07, 12.20ex/s]


preprocess datasets #2:  22%|██▏       | 206/945 [00:08<00:32, 23.09ex/s]




preprocess datasets #4:  25%|██▍       | 232/944 [00:08<00:27, 25.93ex/s]

preprocess datasets #1:  11%|█         | 105/945 [00:08<01:03, 13.15ex/s]



preprocess datasets #3:  25%|██▌       | 238/944 [00:08<00:24, 28.85ex/s]


preprocess datasets #2:  22%|██▏       | 209/945 [00:08<00:31, 23.47ex/s]




preprocess datasets #4:  25%|██▍       | 235/944 [00:08<00:27, 26.25ex/s]
preprocess datasets #0:  13%|█▎        | 127/945 [00:08<01:11, 11.47ex/s]



preprocess datasets #3:  26%|██▌       | 241/944 [00:08<00:25, 28.06ex/s]


preprocess datasets #2:  22%|██▏       | 212/945 [00:08<00:30, 24.38ex/s]




preprocess datasets #4:  25%|██▌       | 239/944 [00:08<00:25, 28.10ex/s]

preprocess datasets #1:  11%|█▏        | 107/945 [00:08<01:12, 11.54ex/s]


preprocess datasets #2:  23%|██▎       | 215/945 [00:08<00:32, 22.49ex/s]




preprocess datasets #4:  26%|██▌       | 243/944 [00:08<00:24, 28.83ex/s]



preprocess datasets #3:  26%|██▌       | 244/944 [00:08<00:31, 22.17ex/s]
preprocess datasets #0:  14%|█▎        | 129/945 [00:08<01:19, 10.24ex/s]

preprocess datasets #1:  12%|█▏        | 109/945 [00:08<01:13, 11.36ex/s]




preprocess datasets #4:  26%|██▌       | 247/944 [00:08<00:22, 30.65ex/s]
preprocess datasets #0:  14%|█▍        | 131/945 [00:08<01:08, 11.80ex/s]



preprocess datasets #3:  26%|██▌       | 247/944 [00:08<00:30, 22.97ex/s]


preprocess datasets #2:  23%|██▎       | 218/945 [00:08<00:34, 20.79ex/s]

preprocess datasets #1:  12%|█▏        | 111/945 [00:08<01:09, 12.00ex/s]


preprocess datasets #2:  23%|██▎       | 221/945 [00:08<00:31, 22.65ex/s]




preprocess datasets #4:  27%|██▋       | 251/944 [00:08<00:24, 28.48ex/s]



preprocess datasets #3:  26%|██▋       | 250/944 [00:08<00:30, 22.76ex/s]
preprocess datasets #0:  14%|█▍        | 133/945 [00:09<01:11, 11.39ex/s]

preprocess datasets #1:  12%|█▏        | 113/945 [00:09<01:09, 11.94ex/s]



preprocess datasets #3:  27%|██▋       | 254/944 [00:09<00:26, 25.88ex/s]




preprocess datasets #4:  27%|██▋       | 255/944 [00:09<00:24, 28.63ex/s]


preprocess datasets #2:  24%|██▎       | 224/945 [00:09<00:33, 21.34ex/s]



preprocess datasets #3:  27%|██▋       | 258/944 [00:09<00:25, 27.23ex/s]


preprocess datasets #2:  24%|██▍       | 227/945 [00:09<00:32, 21.78ex/s]




preprocess datasets #4:  27%|██▋       | 259/944 [00:09<00:24, 28.15ex/s]
preprocess datasets #0:  14%|█▍        | 135/945 [00:09<01:20, 10.05ex/s]

preprocess datasets #1:  12%|█▏        | 115/945 [00:09<01:17, 10.71ex/s]


preprocess datasets #2:  24%|██▍       | 230/945 [00:09<00:31, 22.39ex/s]



preprocess datasets #3:  28%|██▊       | 263/944 [00:09<00:23, 29.25ex/s]




preprocess datasets #4:  28%|██▊       | 262/944 [00:09<00:26, 26.02ex/s]

preprocess datasets #1:  12%|█▏        | 117/945 [00:09<01:12, 11.39ex/s]
preprocess datasets #0:  14%|█▍        | 137/945 [00:09<01:18, 10.26ex/s]


preprocess datasets #2:  25%|██▍       | 236/945 [00:09<00:23, 30.48ex/s]




preprocess datasets #4:  28%|██▊       | 265/944 [00:09<00:25, 26.16ex/s]



preprocess datasets #3:  28%|██▊       | 266/944 [00:09<00:27, 25.00ex/s]




preprocess datasets #4:  28%|██▊       | 268/944 [00:09<00:25, 26.77ex/s]

preprocess datasets #1:  13%|█▎        | 119/945 [00:09<01:11, 11.53ex/s]
preprocess datasets #0:  15%|█▍        | 139/945 [00:09<01:16, 10.59ex/s]


preprocess datasets #2:  25%|██▌       | 240/945 [00:09<00:25, 28.13ex/s]



preprocess datasets #3:  29%|██▊       | 271/944 [00:09<00:23, 28.38ex/s]




preprocess datasets #4:  29%|██▊       | 271/944 [00:09<00:26, 25.26ex/s]


preprocess datasets #2:  26%|██▌       | 243/945 [00:09<00:26, 26.65ex/s]

preprocess datasets #1:  13%|█▎        | 121/945 [00:09<01:09, 11.78ex/s]
preprocess datasets #0:  15%|█▍        | 141/945 [00:09<01:12, 11.08ex/s]



preprocess datasets #3:  29%|██▉       | 274/944 [00:09<00:28, 23.69ex/s]




preprocess datasets #4:  29%|██▉       | 275/944 [00:09<00:24, 27.02ex/s]


preprocess datasets #2:  26%|██▌       | 246/945 [00:09<00:29, 23.74ex/s]
preprocess datasets #0:  15%|█▌        | 143/945 [00:09<01:09, 11.56ex/s]

preprocess datasets #1:  13%|█▎        | 123/945 [00:09<01:13, 11.20ex/s]




preprocess datasets #4:  29%|██▉       | 278/944 [00:09<00:26, 25.25ex/s]



preprocess datasets #3:  29%|██▉       | 277/944 [00:09<00:29, 22.90ex/s]


preprocess datasets #2:  26%|██▋       | 249/945 [00:10<00:30, 23.04ex/s]




preprocess datasets #4:  30%|██▉       | 281/944 [00:10<00:25, 26.31ex/s]
preprocess datasets #0:  15%|█▌        | 145/945 [00:10<01:09, 11.52ex/s]



preprocess datasets #3:  30%|██▉       | 281/944 [00:10<00:25, 25.71ex/s]

preprocess datasets #1:  13%|█▎        | 125/945 [00:10<01:13, 11.11ex/s]


preprocess datasets #2:  27%|██▋       | 252/945 [00:10<00:31, 21.83ex/s]




preprocess datasets #4:  30%|███       | 285/944 [00:10<00:24, 27.19ex/s]
preprocess datasets #0:  16%|█▌        | 147/945 [00:10<01:03, 12.48ex/s]



preprocess datasets #3:  30%|███       | 285/944 [00:10<00:24, 26.65ex/s]




preprocess datasets #4:  31%|███       | 288/944 [00:10<00:24, 27.15ex/s]


preprocess datasets #2:  27%|██▋       | 256/945 [00:10<00:28, 24.60ex/s]



preprocess datasets #3:  31%|███       | 288/944 [00:10<00:24, 26.75ex/s]

preprocess datasets #1:  13%|█▎        | 127/945 [00:10<01:27,  9.38ex/s]



preprocess datasets #3:  31%|███       | 292/944 [00:10<00:22, 29.58ex/s]


preprocess datasets #2:  28%|██▊       | 260/945 [00:10<00:26, 25.93ex/s]




preprocess datasets #4:  31%|███       | 291/944 [00:10<00:25, 25.26ex/s]
preprocess datasets #0:  16%|█▌        | 149/945 [00:10<01:15, 10.57ex/s]


preprocess datasets #2:  28%|██▊       | 263/945 [00:10<00:25, 26.37ex/s]

preprocess datasets #1:  14%|█▎        | 129/945 [00:10<01:20, 10.14ex/s]




preprocess datasets #4:  31%|███       | 294/944 [00:10<00:26, 24.84ex/s]



preprocess datasets #3:  31%|███▏      | 296/944 [00:10<00:22, 28.31ex/s]
preprocess datasets #0:  16%|█▌        | 151/945 [00:10<01:11, 11.08ex/s]


preprocess datasets #2:  28%|██▊       | 266/945 [00:10<00:27, 24.86ex/s]

preprocess datasets #1:  14%|█▍        | 131/945 [00:10<01:16, 10.70ex/s]




preprocess datasets #4:  31%|███▏      | 297/944 [00:10<00:28, 23.05ex/s]



preprocess datasets #3:  32%|███▏      | 301/944 [00:10<00:21, 29.26ex/s]


preprocess datasets #2:  28%|██▊       | 269/945 [00:10<00:26, 25.57ex/s]



preprocess datasets #3:  32%|███▏      | 304/944 [00:10<00:22, 28.54ex/s]
preprocess datasets #0:  16%|█▌        | 153/945 [00:10<01:21,  9.66ex/s]




preprocess datasets #4:  32%|███▏      | 301/944 [00:10<00:28, 22.92ex/s]

preprocess datasets #1:  14%|█▍        | 133/945 [00:10<01:15, 10.79ex/s]


preprocess datasets #2:  29%|██▉       | 272/945 [00:10<00:27, 24.62ex/s]



preprocess datasets #3:  33%|███▎      | 307/944 [00:10<00:23, 27.49ex/s]




preprocess datasets #4:  33%|███▎      | 307/944 [00:11<00:20, 30.67ex/s]

preprocess datasets #1:  14%|█▍        | 135/945 [00:11<01:11, 11.31ex/s]


preprocess datasets #2:  29%|██▉       | 278/945 [00:11<00:22, 30.31ex/s]




preprocess datasets #4:  33%|███▎      | 312/944 [00:11<00:18, 33.95ex/s]
preprocess datasets #0:  16%|█▋        | 155/945 [00:11<01:25,  9.22ex/s]



preprocess datasets #3:  33%|███▎      | 310/944 [00:11<00:25, 24.91ex/s]



preprocess datasets #3:  33%|███▎      | 314/944 [00:11<00:22, 28.23ex/s]
preprocess datasets #0:  17%|█▋        | 156/945 [00:11<01:25,  9.22ex/s]




preprocess datasets #4:  33%|███▎      | 316/944 [00:11<00:18, 34.32ex/s]


preprocess datasets #2:  30%|███       | 284/945 [00:11<00:20, 32.21ex/s]

preprocess datasets #1:  14%|█▍        | 137/945 [00:11<01:16, 10.59ex/s]
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preprocess datasets #3:  34%|███▎      | 318/944 [00:11<00:21, 29.69ex/s]




preprocess datasets #4:  34%|███▍      | 320/944 [00:11<00:18, 34.02ex/s]


preprocess datasets #2:  30%|███       | 288/945 [00:11<00:20, 31.98ex/s]
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preprocess datasets #3:  34%|███▍      | 322/944 [00:11<00:19, 32.16ex/s]

preprocess datasets #1:  15%|█▍        | 139/945 [00:11<01:16, 10.49ex/s]


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preprocess datasets #4:  34%|███▍      | 324/944 [00:11<00:21, 29.08ex/s]



preprocess datasets #3:  35%|███▍      | 326/944 [00:11<00:18, 33.29ex/s]
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preprocess datasets #2:  32%|███▏      | 298/945 [00:11<00:16, 39.10ex/s]

preprocess datasets #1:  15%|█▍        | 141/945 [00:11<01:14, 10.79ex/s]



preprocess datasets #3:  35%|███▌      | 331/944 [00:11<00:17, 35.92ex/s]
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preprocess datasets #4:  35%|███▍      | 328/944 [00:11<00:23, 26.27ex/s]




preprocess datasets #4:  35%|███▌      | 332/944 [00:11<00:21, 28.18ex/s]

preprocess datasets #1:  15%|█▌        | 143/945 [00:11<01:17, 10.30ex/s]


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preprocess datasets #2:  33%|███▎      | 313/945 [00:11<00:16, 38.94ex/s]

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preprocess datasets #4:  36%|███▋      | 343/944 [00:12<00:16, 36.68ex/s]


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preprocess datasets #1:  16%|█▌        | 148/945 [00:12<01:02, 12.84ex/s]




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preprocess datasets #2:  34%|███▍      | 321/945 [00:12<00:19, 32.02ex/s]

preprocess datasets #1:  16%|█▌        | 151/945 [00:12<00:57, 13.83ex/s]




preprocess datasets #4:  37%|███▋      | 351/944 [00:12<00:18, 31.29ex/s]


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preprocess datasets #1:  16%|█▌        | 153/945 [00:12<00:57, 13.81ex/s]




preprocess datasets #4:  38%|███▊      | 355/944 [00:12<00:19, 30.16ex/s]


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preprocess datasets #3:  38%|███▊      | 356/944 [00:12<00:22, 25.67ex/s]




preprocess datasets #4:  38%|███▊      | 359/944 [00:12<00:19, 29.95ex/s]

preprocess datasets #1:  16%|█▋        | 155/945 [00:12<00:58, 13.54ex/s]
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preprocess datasets #4:  38%|███▊      | 363/944 [00:12<00:19, 29.76ex/s]



preprocess datasets #3:  38%|███▊      | 359/944 [00:12<00:24, 24.24ex/s]
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preprocess datasets #2:  37%|███▋      | 346/945 [00:12<00:15, 39.32ex/s]




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preprocess datasets #3:  39%|███▉      | 366/944 [00:13<00:21, 27.04ex/s]


preprocess datasets #2:  37%|███▋      | 350/945 [00:13<00:16, 36.22ex/s]




preprocess datasets #4:  39%|███▉      | 371/944 [00:13<00:19, 29.58ex/s]
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preprocess datasets #1:  17%|█▋        | 159/945 [00:13<01:13, 10.67ex/s]



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preprocess datasets #4:  40%|████      | 378/944 [00:13<00:18, 30.03ex/s]
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preprocess datasets #1:  17%|█▋        | 161/945 [00:13<01:16, 10.20ex/s]


preprocess datasets #2:  38%|███▊      | 362/945 [00:13<00:16, 35.96ex/s]



preprocess datasets #3:  40%|███▉      | 376/944 [00:13<00:21, 26.63ex/s]




preprocess datasets #4:  40%|████      | 382/944 [00:13<00:20, 28.07ex/s]


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preprocess datasets #4:  41%|████      | 385/944 [00:13<00:19, 28.31ex/s]


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preprocess datasets #4:  41%|████      | 388/944 [00:13<00:19, 28.22ex/s]


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preprocess datasets #1:  17%|█▋        | 163/945 [00:13<01:41,  7.69ex/s]




preprocess datasets #4:  41%|████▏     | 391/944 [00:13<00:19, 28.11ex/s]



preprocess datasets #3:  41%|████      | 389/944 [00:13<00:17, 30.94ex/s]
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preprocess datasets #1:  17%|█▋        | 164/945 [00:13<01:43,  7.57ex/s]


preprocess datasets #2:  40%|████      | 379/945 [00:13<00:18, 30.59ex/s]




preprocess datasets #4:  42%|████▏     | 394/944 [00:13<00:22, 24.72ex/s]



preprocess datasets #3:  42%|████▏     | 393/944 [00:13<00:18, 29.54ex/s]
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preprocess datasets #1:  17%|█▋        | 165/945 [00:14<01:46,  7.33ex/s]




preprocess datasets #4:  42%|████▏     | 397/944 [00:14<00:22, 24.50ex/s]


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preprocess datasets #3:  42%|████▏     | 397/944 [00:14<00:18, 29.78ex/s]
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preprocess datasets #1:  18%|█▊        | 166/945 [00:14<01:46,  7.32ex/s]


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preprocess datasets #3:  42%|████▏     | 401/944 [00:14<00:18, 29.74ex/s]




preprocess datasets #4:  42%|████▏     | 400/944 [00:14<00:24, 22.60ex/s]




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preprocess datasets #3:  43%|████▎     | 406/944 [00:14<00:16, 33.13ex/s]

preprocess datasets #1:  18%|█▊        | 167/945 [00:14<01:53,  6.86ex/s]


preprocess datasets #2:  41%|████▏     | 391/945 [00:14<00:20, 26.68ex/s]



preprocess datasets #3:  44%|████▎     | 412/944 [00:14<00:13, 38.61ex/s]




preprocess datasets #4:  43%|████▎     | 406/944 [00:14<00:22, 24.25ex/s]
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preprocess datasets #2:  42%|████▏     | 395/945 [00:14<00:20, 26.96ex/s]

preprocess datasets #1:  18%|█▊        | 169/945 [00:14<01:34,  8.17ex/s]



preprocess datasets #3:  44%|████▍     | 417/944 [00:14<00:12, 41.00ex/s]




preprocess datasets #4:  43%|████▎     | 410/944 [00:14<00:19, 27.60ex/s]
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preprocess datasets #4:  44%|████▍     | 415/944 [00:14<00:16, 32.41ex/s]

preprocess datasets #1:  18%|█▊        | 170/945 [00:14<01:40,  7.71ex/s]



preprocess datasets #3:  45%|████▍     | 422/944 [00:14<00:14, 35.02ex/s]




preprocess datasets #4:  45%|████▍     | 421/944 [00:14<00:13, 38.35ex/s]


preprocess datasets #2:  43%|████▎     | 402/945 [00:14<00:20, 26.76ex/s]

preprocess datasets #1:  18%|█▊        | 171/945 [00:14<01:42,  7.55ex/s]
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preprocess datasets #3:  45%|████▌     | 426/944 [00:14<00:15, 32.54ex/s]


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preprocess datasets #4:  45%|████▌     | 427/944 [00:14<00:12, 41.04ex/s]

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preprocess datasets #2:  43%|████▎     | 410/945 [00:15<00:16, 32.16ex/s]
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preprocess datasets #4:  46%|████▌     | 432/944 [00:15<00:12, 42.57ex/s]



preprocess datasets #3:  46%|████▌     | 430/944 [00:15<00:16, 30.54ex/s]


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preprocess datasets #4:  46%|████▋     | 437/944 [00:15<00:15, 31.74ex/s]


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preprocess datasets #2:  45%|████▍     | 422/945 [00:15<00:18, 28.56ex/s]




preprocess datasets #4:  47%|████▋     | 441/944 [00:15<00:17, 28.59ex/s]

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preprocess datasets #3:  47%|████▋     | 448/944 [00:15<00:14, 33.95ex/s]




preprocess datasets #4:  47%|████▋     | 445/944 [00:15<00:17, 28.69ex/s]
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preprocess datasets #3:  48%|████▊     | 452/944 [00:15<00:15, 31.59ex/s]

preprocess datasets #1:  19%|█▉        | 181/945 [00:15<01:08, 11.09ex/s]




preprocess datasets #4:  48%|████▊     | 449/944 [00:15<00:19, 25.28ex/s]


preprocess datasets #2:  46%|████▌     | 434/945 [00:15<00:15, 33.66ex/s]
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preprocess datasets #3:  48%|████▊     | 456/944 [00:15<00:15, 31.50ex/s]




preprocess datasets #4:  48%|████▊     | 452/944 [00:15<00:19, 25.65ex/s]

preprocess datasets #1:  19%|█▉        | 183/945 [00:15<01:03, 11.98ex/s]


preprocess datasets #2:  46%|████▋     | 438/945 [00:15<00:15, 33.16ex/s]
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preprocess datasets #3:  49%|████▊     | 460/944 [00:16<00:16, 28.97ex/s]

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preprocess datasets #4:  49%|████▉     | 465/944 [00:16<00:12, 37.83ex/s]
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preprocess datasets #1:  20%|█▉        | 187/945 [00:16<00:58, 12.88ex/s]



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preprocess datasets #2:  47%|████▋     | 446/945 [00:16<00:18, 27.25ex/s]
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preprocess datasets #3:  51%|█████     | 482/944 [00:16<00:14, 32.22ex/s]

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preprocess datasets #3:  54%|█████▍    | 508/944 [00:17<00:10, 39.93ex/s]


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preprocess datasets #4:  55%|█████▍    | 515/944 [00:17<00:11, 38.53ex/s]

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preprocess datasets #2:  51%|█████▏    | 486/945 [00:17<00:17, 26.93ex/s]



preprocess datasets #3:  55%|█████▍    | 518/944 [00:17<00:11, 37.36ex/s]
preprocess datasets #0:  23%|██▎       | 220/945 [00:17<01:07, 10.75ex/s]




preprocess datasets #4:  55%|█████▍    | 519/944 [00:17<00:12, 34.91ex/s]

preprocess datasets #1:  22%|██▏       | 207/945 [00:17<00:57, 12.73ex/s]


preprocess datasets #2:  52%|█████▏    | 490/945 [00:17<00:17, 25.74ex/s]



preprocess datasets #3:  56%|█████▌    | 524/944 [00:17<00:11, 37.49ex/s]
preprocess datasets #0:  23%|██▎       | 222/945 [00:17<00:57, 12.50ex/s]




preprocess datasets #4:  55%|█████▌    | 523/944 [00:17<00:13, 30.19ex/s]


preprocess datasets #2:  52%|█████▏    | 495/945 [00:17<00:14, 30.63ex/s]

preprocess datasets #1:  22%|██▏       | 209/945 [00:18<00:59, 12.37ex/s]



preprocess datasets #3:  56%|█████▌    | 528/944 [00:18<00:13, 31.37ex/s]
preprocess datasets #0:  24%|██▎       | 224/945 [00:18<01:03, 11.34ex/s]


preprocess datasets #2:  53%|█████▎    | 499/945 [00:18<00:15, 28.86ex/s]




preprocess datasets #4:  56%|█████▌    | 527/944 [00:18<00:14, 27.90ex/s]



preprocess datasets #3:  56%|█████▋    | 532/944 [00:18<00:12, 31.78ex/s]
preprocess datasets #0:  24%|██▍       | 226/945 [00:18<00:54, 13.11ex/s]

preprocess datasets #1:  22%|██▏       | 211/945 [00:18<01:02, 11.79ex/s]




preprocess datasets #4:  56%|█████▌    | 530/944 [00:18<00:15, 27.60ex/s]


preprocess datasets #2:  53%|█████▎    | 503/945 [00:18<00:16, 26.64ex/s]



preprocess datasets #3:  57%|█████▋    | 536/944 [00:18<00:13, 30.86ex/s]

preprocess datasets #1:  23%|██▎       | 213/945 [00:18<00:57, 12.74ex/s]
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preprocess datasets #4:  56%|█████▋    | 533/944 [00:18<00:15, 26.05ex/s]


preprocess datasets #2:  54%|█████▎    | 506/945 [00:18<00:16, 27.24ex/s]



preprocess datasets #3:  57%|█████▋    | 540/944 [00:18<00:12, 31.68ex/s]

preprocess datasets #1:  23%|██▎       | 215/945 [00:18<00:56, 12.81ex/s]




preprocess datasets #4:  57%|█████▋    | 536/944 [00:18<00:16, 24.69ex/s]


preprocess datasets #2:  54%|█████▍    | 509/945 [00:18<00:16, 26.12ex/s]



preprocess datasets #3:  58%|█████▊    | 544/944 [00:18<00:11, 33.50ex/s]
preprocess datasets #0:  24%|██▍       | 230/945 [00:18<01:02, 11.35ex/s]

preprocess datasets #1:  23%|██▎       | 217/945 [00:18<00:53, 13.64ex/s]



preprocess datasets #3:  58%|█████▊    | 548/944 [00:18<00:11, 33.11ex/s]




preprocess datasets #4:  57%|█████▋    | 539/944 [00:18<00:17, 22.86ex/s]


preprocess datasets #2:  54%|█████▍    | 512/945 [00:18<00:19, 22.41ex/s]

preprocess datasets #1:  23%|██▎       | 219/945 [00:18<00:54, 13.36ex/s]
preprocess datasets #0:  25%|██▍       | 232/945 [00:18<01:07, 10.55ex/s]


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preprocess datasets #4:  57%|█████▋    | 542/944 [00:18<00:18, 22.01ex/s]



preprocess datasets #3:  58%|█████▊    | 552/944 [00:18<00:13, 28.95ex/s]

preprocess datasets #1:  23%|██▎       | 221/945 [00:18<00:52, 13.85ex/s]




preprocess datasets #4:  58%|█████▊    | 546/944 [00:18<00:15, 25.41ex/s]



preprocess datasets #3:  59%|█████▉    | 556/944 [00:18<00:12, 31.30ex/s]
preprocess datasets #0:  25%|██▍       | 234/945 [00:18<01:05, 10.78ex/s]


preprocess datasets #2:  55%|█████▍    | 518/945 [00:18<00:19, 22.43ex/s]




preprocess datasets #4:  58%|█████▊    | 551/944 [00:19<00:12, 31.11ex/s]



preprocess datasets #3:  59%|█████▉    | 560/944 [00:19<00:11, 33.15ex/s]

preprocess datasets #1:  24%|██▎       | 223/945 [00:19<00:53, 13.38ex/s]


preprocess datasets #2:  55%|█████▌    | 521/945 [00:19<00:17, 24.06ex/s]
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preprocess datasets #4:  59%|█████▉    | 555/944 [00:19<00:13, 29.57ex/s]


preprocess datasets #2:  55%|█████▌    | 524/945 [00:19<00:17, 24.40ex/s]



preprocess datasets #3:  60%|█████▉    | 564/944 [00:19<00:12, 30.59ex/s]

preprocess datasets #1:  24%|██▍       | 225/945 [00:19<00:54, 13.28ex/s]




preprocess datasets #4:  59%|█████▉    | 561/944 [00:19<00:10, 35.53ex/s]



preprocess datasets #3:  60%|██████    | 568/944 [00:19<00:11, 32.09ex/s]


preprocess datasets #2:  56%|█████▌    | 528/945 [00:19<00:15, 26.67ex/s]
preprocess datasets #0:  25%|██▌       | 238/945 [00:19<01:07, 10.52ex/s]

preprocess datasets #1:  24%|██▍       | 227/945 [00:19<00:55, 13.05ex/s]



preprocess datasets #3:  61%|██████    | 572/944 [00:19<00:11, 32.08ex/s]




preprocess datasets #4:  60%|█████▉    | 566/944 [00:19<00:10, 34.92ex/s]


preprocess datasets #2:  56%|█████▌    | 531/945 [00:19<00:16, 24.41ex/s]

preprocess datasets #1:  24%|██▍       | 229/945 [00:19<00:55, 12.88ex/s]
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preprocess datasets #3:  61%|██████    | 576/944 [00:19<00:11, 31.68ex/s]




preprocess datasets #4:  60%|██████    | 571/944 [00:19<00:10, 35.55ex/s]


preprocess datasets #2:  57%|█████▋    | 534/945 [00:19<00:16, 24.49ex/s]

preprocess datasets #1:  24%|██▍       | 231/945 [00:19<00:54, 13.11ex/s]



preprocess datasets #3:  61%|██████▏   | 580/944 [00:19<00:11, 31.56ex/s]




preprocess datasets #4:  61%|██████    | 575/944 [00:19<00:10, 35.84ex/s]


preprocess datasets #2:  57%|█████▋    | 539/945 [00:19<00:13, 29.01ex/s]
preprocess datasets #0:  26%|██▌       | 242/945 [00:19<01:05, 10.72ex/s]

preprocess datasets #1:  25%|██▍       | 233/945 [00:19<00:52, 13.69ex/s]



preprocess datasets #3:  62%|██████▏   | 585/944 [00:19<00:10, 35.65ex/s]




preprocess datasets #4:  61%|██████▏   | 579/944 [00:19<00:10, 35.92ex/s]


preprocess datasets #2:  57%|█████▋    | 543/945 [00:19<00:13, 30.43ex/s]
preprocess datasets #0:  26%|██▌       | 244/945 [00:19<01:04, 10.91ex/s]

preprocess datasets #1:  25%|██▍       | 235/945 [00:19<00:48, 14.53ex/s]



preprocess datasets #3:  62%|██████▏   | 589/944 [00:19<00:10, 33.97ex/s]




preprocess datasets #4:  62%|██████▏   | 586/944 [00:19<00:08, 41.47ex/s]


preprocess datasets #2:  58%|█████▊    | 547/945 [00:19<00:12, 31.07ex/s]




preprocess datasets #4:  63%|██████▎   | 591/944 [00:20<00:08, 42.51ex/s]
preprocess datasets #0:  26%|██▌       | 246/945 [00:20<01:01, 11.40ex/s]

preprocess datasets #1:  25%|██▌       | 237/945 [00:20<00:49, 14.33ex/s]


preprocess datasets #2:  58%|█████▊    | 551/945 [00:20<00:12, 31.46ex/s]



preprocess datasets #3:  63%|██████▎   | 593/944 [00:20<00:11, 31.31ex/s]




preprocess datasets #4:  63%|██████▎   | 597/944 [00:20<00:07, 46.33ex/s]

preprocess datasets #1:  25%|██▌       | 239/945 [00:20<00:46, 15.09ex/s]



preprocess datasets #3:  63%|██████▎   | 597/944 [00:20<00:10, 33.37ex/s]
preprocess datasets #0:  26%|██▌       | 248/945 [00:20<00:58, 11.82ex/s]


preprocess datasets #2:  59%|█████▊    | 555/945 [00:20<00:13, 29.63ex/s]




preprocess datasets #4:  64%|██████▍   | 603/944 [00:20<00:06, 49.67ex/s]

preprocess datasets #1:  26%|██▌       | 241/945 [00:20<00:43, 16.07ex/s]



preprocess datasets #3:  64%|██████▎   | 601/944 [00:20<00:11, 30.33ex/s]
preprocess datasets #0:  26%|██▋       | 250/945 [00:20<00:54, 12.65ex/s]


preprocess datasets #2:  59%|█████▉    | 561/945 [00:20<00:11, 33.21ex/s]




preprocess datasets #4:  65%|██████▍   | 609/944 [00:20<00:07, 45.96ex/s]

preprocess datasets #1:  26%|██▌       | 244/945 [00:20<00:41, 16.70ex/s]



preprocess datasets #3:  64%|██████▍   | 606/944 [00:20<00:10, 33.22ex/s]


preprocess datasets #2:  60%|█████▉    | 565/945 [00:20<00:12, 31.47ex/s]




preprocess datasets #4:  65%|██████▌   | 614/944 [00:20<00:07, 41.99ex/s]
preprocess datasets #0:  27%|██▋       | 252/945 [00:20<01:00, 11.52ex/s]

preprocess datasets #1:  26%|██▌       | 246/945 [00:20<00:41, 16.72ex/s]



preprocess datasets #3:  65%|██████▍   | 612/944 [00:20<00:08, 37.95ex/s]


preprocess datasets #2:  60%|██████    | 569/945 [00:20<00:11, 32.27ex/s]




preprocess datasets #4:  66%|██████▌   | 619/944 [00:20<00:07, 40.72ex/s]



preprocess datasets #3:  65%|██████▌   | 618/944 [00:20<00:07, 43.15ex/s]

preprocess datasets #1:  26%|██▌       | 248/945 [00:20<00:48, 14.51ex/s]
preprocess datasets #0:  27%|██▋       | 254/945 [00:20<01:03, 10.95ex/s]




preprocess datasets #4:  66%|██████▌   | 625/944 [00:20<00:07, 45.15ex/s]


preprocess datasets #2:  61%|██████    | 573/945 [00:20<00:13, 28.15ex/s]



preprocess datasets #3:  66%|██████▌   | 623/944 [00:20<00:08, 38.87ex/s]

preprocess datasets #1:  26%|██▋       | 250/945 [00:20<00:44, 15.52ex/s]
preprocess datasets #0:  27%|██▋       | 256/945 [00:20<00:54, 12.64ex/s]


preprocess datasets #2:  61%|██████    | 577/945 [00:20<00:12, 30.13ex/s]



preprocess datasets #3:  67%|██████▋   | 628/944 [00:20<00:07, 41.12ex/s]




preprocess datasets #4:  67%|██████▋   | 630/944 [00:20<00:08, 37.05ex/s]

preprocess datasets #1:  27%|██▋       | 252/945 [00:21<00:47, 14.53ex/s]
preprocess datasets #0:  27%|██▋       | 258/945 [00:21<00:55, 12.39ex/s]


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preprocess datasets #3:  67%|██████▋   | 633/944 [00:21<00:07, 39.24ex/s]

preprocess datasets #1:  27%|██▋       | 254/945 [00:21<00:49, 14.06ex/s]


preprocess datasets #2:  62%|██████▏   | 585/945 [00:21<00:11, 30.97ex/s]




preprocess datasets #4:  67%|██████▋   | 635/944 [00:21<00:09, 31.59ex/s]



preprocess datasets #3:  68%|██████▊   | 638/944 [00:21<00:08, 38.22ex/s]
preprocess datasets #0:  28%|██▊       | 260/945 [00:21<01:02, 10.94ex/s]

preprocess datasets #1:  27%|██▋       | 256/945 [00:21<00:48, 14.27ex/s]


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preprocess datasets #3:  68%|██████▊   | 642/944 [00:21<00:07, 37.76ex/s]




preprocess datasets #4:  68%|██████▊   | 639/944 [00:21<00:10, 29.26ex/s]

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preprocess datasets #3:  68%|██████▊   | 646/944 [00:21<00:08, 37.16ex/s]


preprocess datasets #2:  63%|██████▎   | 593/945 [00:21<00:12, 28.13ex/s]
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preprocess datasets #3:  69%|██████▉   | 651/944 [00:21<00:08, 36.26ex/s]
preprocess datasets #0:  28%|██▊       | 264/945 [00:21<00:59, 11.37ex/s]

preprocess datasets #1:  28%|██▊       | 260/945 [00:21<00:52, 13.07ex/s]


preprocess datasets #2:  63%|██████▎   | 596/945 [00:21<00:14, 24.38ex/s]




preprocess datasets #4:  68%|██████▊   | 646/944 [00:21<00:11, 26.41ex/s]



preprocess datasets #3:  69%|██████▉   | 655/944 [00:21<00:09, 30.92ex/s]
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preprocess datasets #4:  69%|██████▉   | 649/944 [00:21<00:11, 24.77ex/s]

preprocess datasets #1:  28%|██▊       | 262/945 [00:21<00:56, 12.03ex/s]


preprocess datasets #2:  64%|██████▍   | 603/945 [00:21<00:13, 26.11ex/s]




preprocess datasets #4:  69%|██████▉   | 652/944 [00:21<00:11, 24.76ex/s]

preprocess datasets #1:  28%|██▊       | 264/945 [00:21<00:51, 13.29ex/s]



preprocess datasets #3:  70%|██████▉   | 659/944 [00:21<00:10, 27.81ex/s]
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preprocess datasets #4:  69%|██████▉   | 655/944 [00:22<00:11, 25.54ex/s]


preprocess datasets #2:  64%|██████▍   | 606/945 [00:22<00:14, 23.21ex/s]



preprocess datasets #3:  70%|███████   | 663/944 [00:22<00:09, 28.54ex/s]

preprocess datasets #1:  28%|██▊       | 266/945 [00:22<00:51, 13.09ex/s]
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preprocess datasets #4:  70%|██████▉   | 658/944 [00:22<00:11, 25.73ex/s]


preprocess datasets #2:  65%|██████▍   | 610/945 [00:22<00:12, 26.03ex/s]



preprocess datasets #3:  71%|███████   | 667/944 [00:22<00:09, 29.80ex/s]
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preprocess datasets #1:  28%|██▊       | 268/945 [00:22<00:52, 12.89ex/s]




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preprocess datasets #2:  65%|██████▍   | 614/945 [00:22<00:11, 28.39ex/s]



preprocess datasets #3:  71%|███████   | 671/944 [00:22<00:09, 29.44ex/s]
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preprocess datasets #4:  70%|███████   | 665/944 [00:22<00:10, 26.28ex/s]

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preprocess datasets #3:  72%|███████▏  | 675/944 [00:22<00:09, 29.06ex/s]




preprocess datasets #4:  71%|███████   | 668/944 [00:22<00:10, 26.63ex/s]
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preprocess datasets #4:  71%|███████▏  | 673/944 [00:22<00:08, 32.10ex/s]
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preprocess datasets #4:  72%|███████▏  | 682/944 [00:22<00:07, 36.61ex/s]

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preprocess datasets #2:  67%|██████▋   | 630/945 [00:22<00:10, 29.11ex/s]
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preprocess datasets #4:  73%|███████▎  | 688/944 [00:22<00:06, 41.39ex/s]


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preprocess datasets #1:  29%|██▉       | 278/945 [00:23<00:56, 11.79ex/s]




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preprocess datasets #3:  74%|███████▎  | 695/944 [00:23<00:07, 33.16ex/s]
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preprocess datasets #3:  74%|███████▍  | 700/944 [00:23<00:06, 37.12ex/s]

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preprocess datasets #4:  74%|███████▍  | 698/944 [00:23<00:06, 36.21ex/s]


preprocess datasets #2:  68%|██████▊   | 642/945 [00:23<00:11, 26.36ex/s]
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preprocess datasets #4:  74%|███████▍  | 703/944 [00:23<00:06, 39.48ex/s]

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preprocess datasets #3:  75%|███████▍  | 704/944 [00:23<00:07, 32.74ex/s]


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preprocess datasets #4:  75%|███████▌  | 708/944 [00:23<00:05, 41.99ex/s]
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preprocess datasets #3:  75%|███████▌  | 708/944 [00:23<00:06, 34.05ex/s]

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preprocess datasets #3:  75%|███████▌  | 712/944 [00:23<00:06, 35.04ex/s]
preprocess datasets #0:  31%|███       | 289/945 [00:23<00:53, 12.36ex/s]




preprocess datasets #4:  76%|███████▌  | 713/944 [00:23<00:06, 36.15ex/s]

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preprocess datasets #2:  69%|██████▉   | 654/945 [00:23<00:09, 31.87ex/s]



preprocess datasets #3:  76%|███████▌  | 716/944 [00:23<00:06, 34.96ex/s]




preprocess datasets #4:  76%|███████▌  | 717/944 [00:23<00:06, 33.34ex/s]
preprocess datasets #0:  31%|███       | 291/945 [00:23<00:54, 12.00ex/s]

preprocess datasets #1:  30%|███       | 288/945 [00:23<00:50, 13.03ex/s]



preprocess datasets #3:  76%|███████▋  | 721/944 [00:23<00:05, 37.64ex/s]


preprocess datasets #2:  70%|██████▉   | 658/945 [00:23<00:09, 29.36ex/s]



preprocess datasets #3:  77%|███████▋  | 726/944 [00:23<00:05, 39.78ex/s]
preprocess datasets #0:  31%|███       | 293/945 [00:23<00:50, 12.92ex/s]

preprocess datasets #1:  31%|███       | 290/945 [00:23<00:48, 13.53ex/s]




preprocess datasets #4:  76%|███████▋  | 721/944 [00:23<00:07, 30.79ex/s]


preprocess datasets #2:  70%|███████   | 662/945 [00:23<00:09, 29.35ex/s]



preprocess datasets #3:  77%|███████▋  | 731/944 [00:24<00:05, 40.04ex/s]




preprocess datasets #4:  77%|███████▋  | 725/944 [00:24<00:07, 30.97ex/s]
preprocess datasets #0:  31%|███▏      | 296/945 [00:24<00:43, 15.02ex/s]

preprocess datasets #1:  31%|███       | 292/945 [00:24<00:48, 13.49ex/s]


preprocess datasets #2:  70%|███████   | 666/945 [00:24<00:09, 30.87ex/s]



preprocess datasets #3:  78%|███████▊  | 737/944 [00:24<00:04, 44.64ex/s]




preprocess datasets #4:  77%|███████▋  | 729/944 [00:24<00:06, 31.96ex/s]

preprocess datasets #1:  31%|███       | 294/945 [00:24<00:46, 13.94ex/s]
preprocess datasets #0:  32%|███▏      | 299/945 [00:24<00:39, 16.44ex/s]


preprocess datasets #2:  71%|███████   | 670/945 [00:24<00:08, 31.16ex/s]



preprocess datasets #3:  79%|███████▊  | 743/944 [00:24<00:04, 45.65ex/s]




preprocess datasets #4:  78%|███████▊  | 736/944 [00:24<00:05, 40.68ex/s]

preprocess datasets #1:  31%|███▏      | 296/945 [00:24<00:44, 14.64ex/s]
preprocess datasets #0:  32%|███▏      | 301/945 [00:24<00:39, 16.16ex/s]


preprocess datasets #2:  71%|███████▏  | 674/945 [00:24<00:09, 29.79ex/s]




preprocess datasets #4:  78%|███████▊  | 741/944 [00:24<00:04, 40.74ex/s]



preprocess datasets #3:  79%|███████▉  | 748/944 [00:24<00:04, 42.28ex/s]
preprocess datasets #0:  32%|███▏      | 303/945 [00:24<00:37, 16.91ex/s]

preprocess datasets #1:  32%|███▏      | 298/945 [00:24<00:45, 14.19ex/s]


preprocess datasets #2:  72%|███████▏  | 678/945 [00:24<00:09, 29.24ex/s]




preprocess datasets #4:  79%|███████▉  | 746/944 [00:24<00:04, 39.95ex/s]



preprocess datasets #3:  80%|███████▉  | 753/944 [00:24<00:04, 39.56ex/s]


preprocess datasets #2:  72%|███████▏  | 682/945 [00:24<00:08, 31.41ex/s]

preprocess datasets #1:  32%|███▏      | 300/945 [00:24<00:47, 13.51ex/s]
preprocess datasets #0:  32%|███▏      | 305/945 [00:24<00:46, 13.86ex/s]




preprocess datasets #4:  80%|███████▉  | 751/944 [00:24<00:05, 38.44ex/s]



preprocess datasets #3:  80%|████████  | 758/944 [00:24<00:04, 38.44ex/s]


preprocess datasets #2:  73%|███████▎  | 686/945 [00:24<00:07, 32.81ex/s]
preprocess datasets #0:  32%|███▏      | 307/945 [00:24<00:43, 14.77ex/s]




preprocess datasets #4:  80%|███████▉  | 755/944 [00:24<00:05, 37.43ex/s]

preprocess datasets #1:  32%|███▏      | 302/945 [00:24<00:49, 13.05ex/s]


preprocess datasets #2:  73%|███████▎  | 691/945 [00:24<00:07, 33.35ex/s]



preprocess datasets #3:  81%|████████  | 763/944 [00:24<00:05, 34.52ex/s]
preprocess datasets #0:  33%|███▎      | 309/945 [00:24<00:43, 14.68ex/s]

preprocess datasets #1:  32%|███▏      | 304/945 [00:24<00:47, 13.53ex/s]




preprocess datasets #4:  80%|████████  | 759/944 [00:24<00:05, 31.42ex/s]



preprocess datasets #3:  81%|████████▏ | 767/944 [00:24<00:05, 35.35ex/s]


preprocess datasets #2:  74%|███████▎  | 695/945 [00:25<00:08, 30.98ex/s]

preprocess datasets #1:  32%|███▏      | 306/945 [00:25<00:44, 14.27ex/s]
preprocess datasets #0:  33%|███▎      | 311/945 [00:25<00:46, 13.58ex/s]



preprocess datasets #3:  82%|████████▏ | 771/944 [00:25<00:05, 34.52ex/s]


preprocess datasets #2:  74%|███████▍  | 699/945 [00:25<00:07, 31.75ex/s]




preprocess datasets #4:  81%|████████  | 763/944 [00:25<00:06, 29.29ex/s]
preprocess datasets #0:  33%|███▎      | 314/945 [00:25<00:39, 15.96ex/s]

preprocess datasets #1:  33%|███▎      | 308/945 [00:25<00:49, 12.94ex/s]




preprocess datasets #4:  81%|████████▏ | 767/944 [00:25<00:06, 29.09ex/s]


preprocess datasets #2:  74%|███████▍  | 703/945 [00:25<00:08, 30.09ex/s]



preprocess datasets #3:  82%|████████▏ | 775/944 [00:25<00:05, 28.29ex/s]
preprocess datasets #0:  33%|███▎      | 316/945 [00:25<00:42, 14.79ex/s]




preprocess datasets #4:  82%|████████▏ | 771/944 [00:25<00:05, 30.50ex/s]

preprocess datasets #1:  33%|███▎      | 310/945 [00:25<00:51, 12.40ex/s]


preprocess datasets #2:  75%|███████▍  | 708/945 [00:25<00:07, 30.56ex/s]



preprocess datasets #3:  83%|████████▎ | 779/944 [00:25<00:05, 27.96ex/s]




preprocess datasets #4:  82%|████████▏ | 775/944 [00:25<00:05, 31.23ex/s]
preprocess datasets #0:  34%|███▎      | 318/945 [00:25<00:44, 14.14ex/s]


preprocess datasets #2:  75%|███████▌  | 713/945 [00:25<00:06, 33.76ex/s]

preprocess datasets #1:  33%|███▎      | 312/945 [00:25<00:48, 13.03ex/s]



preprocess datasets #3:  83%|████████▎ | 782/944 [00:25<00:06, 25.63ex/s]
preprocess datasets #0:  34%|███▍      | 320/945 [00:25<00:46, 13.34ex/s]



preprocess datasets #3:  83%|████████▎ | 786/944 [00:25<00:05, 28.33ex/s]

preprocess datasets #1:  33%|███▎      | 314/945 [00:25<00:47, 13.20ex/s]




preprocess datasets #4:  83%|████████▎ | 779/944 [00:25<00:06, 26.20ex/s]


preprocess datasets #2:  76%|███████▌  | 717/945 [00:25<00:07, 30.61ex/s]
preprocess datasets #0:  34%|███▍      | 322/945 [00:25<00:42, 14.55ex/s]



preprocess datasets #3:  84%|████████▎ | 790/944 [00:25<00:05, 30.33ex/s]




preprocess datasets #4:  83%|████████▎ | 782/944 [00:25<00:06, 24.65ex/s]


preprocess datasets #2:  76%|███████▋  | 721/945 [00:25<00:07, 28.47ex/s]

preprocess datasets #1:  33%|███▎      | 316/945 [00:25<00:49, 12.60ex/s]




preprocess datasets #4:  83%|████████▎ | 786/944 [00:25<00:05, 27.66ex/s]



preprocess datasets #3:  84%|████████▍ | 794/944 [00:25<00:05, 28.20ex/s]
preprocess datasets #0:  34%|███▍      | 324/945 [00:26<00:46, 13.24ex/s]


preprocess datasets #2:  77%|███████▋  | 724/945 [00:26<00:08, 25.82ex/s]

preprocess datasets #1:  34%|███▎      | 318/945 [00:26<00:52, 11.85ex/s]




preprocess datasets #4:  84%|████████▎ | 790/944 [00:26<00:05, 29.05ex/s]



preprocess datasets #3:  84%|████████▍ | 797/944 [00:26<00:06, 24.30ex/s]


preprocess datasets #2:  77%|███████▋  | 727/945 [00:26<00:08, 25.08ex/s]
preprocess datasets #0:  34%|███▍      | 326/945 [00:26<00:49, 12.50ex/s]

preprocess datasets #1:  34%|███▍      | 320/945 [00:26<00:47, 13.29ex/s]




preprocess datasets #4:  84%|████████▍ | 794/944 [00:26<00:05, 28.79ex/s]



preprocess datasets #3:  85%|████████▍ | 800/944 [00:26<00:05, 24.67ex/s]


preprocess datasets #2:  77%|███████▋  | 732/945 [00:26<00:07, 30.11ex/s]

preprocess datasets #1:  34%|███▍      | 322/945 [00:26<00:44, 14.07ex/s]
preprocess datasets #0:  35%|███▍      | 328/945 [00:26<00:48, 12.69ex/s]




preprocess datasets #4:  85%|████████▍ | 798/944 [00:26<00:05, 28.62ex/s]



preprocess datasets #3:  85%|████████▌ | 803/944 [00:26<00:05, 25.56ex/s]


preprocess datasets #2:  78%|███████▊  | 736/945 [00:26<00:07, 28.72ex/s]

preprocess datasets #1:  34%|███▍      | 324/945 [00:26<00:44, 14.05ex/s]



preprocess datasets #3:  85%|████████▌ | 807/944 [00:26<00:04, 28.45ex/s]
preprocess datasets #0:  35%|███▌      | 331/945 [00:26<00:43, 14.11ex/s]




preprocess datasets #4:  85%|████████▍ | 801/944 [00:26<00:05, 26.66ex/s]


preprocess datasets #2:  78%|███████▊  | 740/945 [00:26<00:06, 30.26ex/s]



preprocess datasets #3:  86%|████████▌ | 810/944 [00:26<00:04, 28.81ex/s]




preprocess datasets #4:  85%|████████▌ | 804/944 [00:26<00:05, 27.35ex/s]

preprocess datasets #1:  34%|███▍      | 326/945 [00:26<00:46, 13.45ex/s]
preprocess datasets #0:  35%|███▌      | 333/945 [00:26<00:43, 13.93ex/s]


preprocess datasets #2:  79%|███████▊  | 744/945 [00:26<00:06, 29.72ex/s]



preprocess datasets #3:  86%|████████▌ | 814/944 [00:26<00:04, 31.63ex/s]




preprocess datasets #4:  86%|████████▌ | 808/944 [00:26<00:04, 30.46ex/s]

preprocess datasets #1:  35%|███▍      | 328/945 [00:26<00:43, 14.08ex/s]


preprocess datasets #2:  79%|███████▉  | 748/945 [00:26<00:06, 29.88ex/s]
preprocess datasets #0:  35%|███▌      | 335/945 [00:26<00:45, 13.27ex/s]



preprocess datasets #3:  87%|████████▋ | 818/944 [00:26<00:04, 31.31ex/s]




preprocess datasets #4:  86%|████████▌ | 812/944 [00:26<00:04, 29.86ex/s]

preprocess datasets #1:  35%|███▍      | 330/945 [00:26<00:41, 14.76ex/s]



preprocess datasets #3:  87%|████████▋ | 822/944 [00:26<00:03, 33.54ex/s]


preprocess datasets #2:  80%|███████▉  | 752/945 [00:26<00:06, 30.15ex/s]




preprocess datasets #4:  86%|████████▋ | 816/944 [00:26<00:04, 31.52ex/s]
preprocess datasets #0:  36%|███▌      | 337/945 [00:27<00:45, 13.42ex/s]

preprocess datasets #1:  35%|███▌      | 332/945 [00:27<00:41, 14.62ex/s]



preprocess datasets #3:  88%|████████▊ | 826/944 [00:27<00:03, 32.19ex/s]


preprocess datasets #2:  80%|████████  | 757/945 [00:27<00:05, 33.84ex/s]
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preprocess datasets #4:  87%|████████▋ | 822/944 [00:27<00:03, 37.07ex/s]

preprocess datasets #1:  35%|███▌      | 334/945 [00:27<00:41, 14.62ex/s]


preprocess datasets #2:  81%|████████  | 761/945 [00:27<00:05, 35.28ex/s]




preprocess datasets #4:  88%|████████▊ | 826/944 [00:27<00:03, 37.81ex/s]



preprocess datasets #3:  88%|████████▊ | 830/944 [00:27<00:03, 30.94ex/s]

preprocess datasets #1:  36%|███▌      | 336/945 [00:27<00:41, 14.57ex/s]


preprocess datasets #2:  81%|████████  | 765/945 [00:27<00:05, 31.16ex/s]



preprocess datasets #3:  88%|████████▊ | 834/944 [00:27<00:03, 29.04ex/s]
preprocess datasets #0:  36%|███▌      | 341/945 [00:27<00:55, 10.80ex/s]




preprocess datasets #4:  88%|████████▊ | 830/944 [00:27<00:03, 29.69ex/s]

preprocess datasets #1:  36%|███▌      | 338/945 [00:27<00:45, 13.31ex/s]


preprocess datasets #2:  81%|████████▏ | 769/945 [00:27<00:05, 29.44ex/s]



preprocess datasets #3:  89%|████████▉ | 839/944 [00:27<00:03, 32.03ex/s]




preprocess datasets #4:  88%|████████▊ | 834/944 [00:27<00:03, 29.18ex/s]



preprocess datasets #3:  90%|████████▉ | 845/944 [00:27<00:02, 38.14ex/s]

preprocess datasets #1:  36%|███▌      | 340/945 [00:27<00:44, 13.60ex/s]
preprocess datasets #0:  36%|███▋      | 343/945 [00:27<01:01,  9.80ex/s]


preprocess datasets #2:  82%|████████▏ | 773/945 [00:27<00:06, 28.42ex/s]




preprocess datasets #4:  89%|████████▉ | 838/944 [00:27<00:03, 30.00ex/s]



preprocess datasets #3:  90%|█████████ | 850/944 [00:27<00:02, 38.95ex/s]

preprocess datasets #1:  36%|███▌      | 342/945 [00:27<00:43, 13.91ex/s]


preprocess datasets #2:  82%|████████▏ | 776/945 [00:27<00:06, 27.70ex/s]




preprocess datasets #4:  89%|████████▉ | 842/944 [00:27<00:03, 31.19ex/s]
preprocess datasets #0:  37%|███▋      | 345/945 [00:27<00:57, 10.39ex/s]



preprocess datasets #3:  91%|█████████ | 856/944 [00:27<00:01, 44.33ex/s]


preprocess datasets #2:  83%|████████▎ | 780/945 [00:27<00:05, 29.16ex/s]




preprocess datasets #4:  90%|████████▉ | 846/944 [00:27<00:02, 33.00ex/s]



preprocess datasets #3:  91%|█████████ | 861/944 [00:27<00:01, 44.86ex/s]

preprocess datasets #1:  36%|███▋      | 344/945 [00:27<00:48, 12.52ex/s]
preprocess datasets #0:  37%|███▋      | 347/945 [00:28<00:57, 10.44ex/s]




preprocess datasets #4:  90%|█████████ | 850/944 [00:27<00:02, 33.58ex/s]


preprocess datasets #2:  83%|████████▎ | 785/945 [00:28<00:05, 30.59ex/s]



preprocess datasets #3:  92%|█████████▏| 866/944 [00:28<00:01, 40.16ex/s]




preprocess datasets #4:  90%|█████████ | 854/944 [00:28<00:02, 33.95ex/s]

preprocess datasets #1:  37%|███▋      | 346/945 [00:28<00:50, 11.87ex/s]


preprocess datasets #2:  84%|████████▎ | 790/945 [00:28<00:04, 34.51ex/s]
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preprocess datasets #3:  92%|█████████▏| 872/944 [00:28<00:01, 44.85ex/s]


preprocess datasets #2:  84%|████████▍ | 794/945 [00:28<00:04, 34.30ex/s]

preprocess datasets #1:  37%|███▋      | 348/945 [00:28<00:47, 12.64ex/s]




preprocess datasets #4:  91%|█████████▏| 862/944 [00:28<00:02, 39.09ex/s]



preprocess datasets #3:  93%|█████████▎| 877/944 [00:28<00:01, 40.66ex/s]

preprocess datasets #1:  37%|███▋      | 350/945 [00:28<00:42, 13.91ex/s]


preprocess datasets #2:  84%|████████▍ | 798/945 [00:28<00:04, 33.15ex/s]
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preprocess datasets #4:  92%|█████████▏| 866/944 [00:28<00:02, 36.31ex/s]



preprocess datasets #3:  93%|█████████▎| 882/944 [00:28<00:01, 41.91ex/s]


preprocess datasets #2:  85%|████████▍ | 803/945 [00:28<00:03, 35.60ex/s]

preprocess datasets #1:  37%|███▋      | 352/945 [00:28<00:43, 13.76ex/s]




preprocess datasets #4:  92%|█████████▏| 870/944 [00:28<00:02, 33.93ex/s]
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preprocess datasets #3:  94%|█████████▍| 887/944 [00:28<00:01, 36.43ex/s]


preprocess datasets #2:  85%|████████▌ | 807/945 [00:28<00:04, 34.04ex/s]

preprocess datasets #1:  37%|███▋      | 354/945 [00:28<00:41, 14.21ex/s]




preprocess datasets #4:  93%|█████████▎| 874/944 [00:28<00:02, 34.28ex/s]
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preprocess datasets #2:  86%|████████▌ | 813/945 [00:28<00:03, 40.43ex/s]



preprocess datasets #3:  94%|█████████▍| 891/944 [00:28<00:01, 36.19ex/s]




preprocess datasets #4:  93%|█████████▎| 879/944 [00:28<00:01, 37.28ex/s]

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preprocess datasets #2:  87%|████████▋ | 819/945 [00:28<00:03, 41.73ex/s]



preprocess datasets #3:  95%|█████████▍| 895/944 [00:28<00:01, 33.76ex/s]
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preprocess datasets #4:  94%|█████████▎| 883/944 [00:28<00:01, 34.10ex/s]

preprocess datasets #1:  38%|███▊      | 358/945 [00:28<00:44, 13.18ex/s]



preprocess datasets #3:  95%|█████████▌| 899/944 [00:28<00:01, 34.20ex/s]


preprocess datasets #2:  87%|████████▋ | 824/945 [00:29<00:03, 39.19ex/s]
preprocess datasets #0:  38%|███▊      | 360/945 [00:29<00:44, 13.05ex/s]




preprocess datasets #4:  94%|█████████▍| 887/944 [00:29<00:01, 29.81ex/s]

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preprocess datasets #2:  88%|████████▊ | 829/945 [00:29<00:02, 40.11ex/s]



preprocess datasets #3:  96%|█████████▌| 904/944 [00:29<00:01, 32.08ex/s]
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preprocess datasets #4:  94%|█████████▍| 891/944 [00:29<00:01, 28.12ex/s]

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preprocess datasets #2:  88%|████████▊ | 834/945 [00:29<00:02, 37.09ex/s]



preprocess datasets #3:  96%|█████████▌| 908/944 [00:29<00:01, 30.76ex/s]




preprocess datasets #4:  95%|█████████▍| 894/944 [00:29<00:01, 28.09ex/s]
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preprocess datasets #1:  39%|███▊      | 364/945 [00:29<00:41, 14.05ex/s]


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preprocess datasets #3:  97%|█████████▋| 912/944 [00:29<00:00, 32.02ex/s]


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Feature extractor saved in experiments/results/bs_exp/linear/wav2vec2-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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": [
    "Wav2Vec2ForPreTraining"
  ],
  "attention_dropout": 0.0,
  "bos_token_id": 1,
  "classifier_proj_size": 256,
  "codevector_dim": 768,
  "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_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": 768,
  "tdnn_dilation": [
    1,
    2,
    3,
    1,
    1
  ],
  "tdnn_dim": [
    512,
    512,
    512,
    512,
    1500
  ],
  "tdnn_kernel": [
    5,
    3,
    3,
    1,
    1
  ],
  "torch_dtype": "float32",
  "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-xls-r-300m/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,
  "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 [07:53<53:12,  2.98it/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 [18:23<3:16:21,  1.31s/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': 3.0458309650421143, 'eval_wer': 1.0, 'eval_runtime': 143.841, 'eval_samples_per_second': 32.835, 'eval_steps_per_second': 2.739, 'epoch': 0.63}
{'loss': 2.9181, 'learning_rate': 9.98e-05, 'epoch': 1.27}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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 [28:41<2:57:57,  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': 1.1502786874771118, 'eval_wer': 0.4722885713129023, 'eval_runtime': 143.5317, 'eval_samples_per_second': 32.906, 'eval_steps_per_second': 2.745, 'epoch': 1.27}


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 20%|██        | 2000/10000 [38:55<2:10:30,  1.02it/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': 0.8274601101875305, 'eval_wer': 0.3499858305331768, 'eval_runtime': 142.4484, 'eval_samples_per_second': 33.156, 'eval_steps_per_second': 2.766, 'epoch': 1.9}
{'loss': 0.7646, 'learning_rate': 8.89111111111111e-05, 'epoch': 2.53}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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 [49:26<1:43:37,  1.21it/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': 0.6990081667900085, 'eval_wer': 0.2845228938099672, 'eval_runtime': 145.8955, 'eval_samples_per_second': 32.372, 'eval_steps_per_second': 2.701, 'epoch': 2.53}


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 30%|███       | 3000/10000 [59:52<1:31:10,  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': 0.5828294157981873, 'eval_wer': 0.2508602890571232, 'eval_runtime': 147.7617, 'eval_samples_per_second': 31.964, 'eval_steps_per_second': 2.666, 'epoch': 3.17}
{'loss': 0.5394, 'learning_rate': 7.780000000000001e-05, 'epoch': 3.8}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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 [1:10:35<1:00:40,  1.79it/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': 0.5363064408302307, 'eval_wer': 0.24873486903364236, 'eval_runtime': 147.8939, 'eval_samples_per_second': 31.935, 'eval_steps_per_second': 2.664, 'epoch': 3.8}


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 40%|████      | 4000/10000 [1:21:03<2:27:26,  1.47s/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': 0.5467007756233215, 'eval_wer': 0.21711671592243229, 'eval_runtime': 151.8112, 'eval_samples_per_second': 31.111, 'eval_steps_per_second': 2.595, 'epoch': 4.44}
{'loss': 0.4558, 'learning_rate': 6.66888888888889e-05, 'epoch': 5.07}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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 [1:31:50<2:16:07,  1.49s/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': 0.5289521813392639, 'eval_wer': 0.20901987773774341, 'eval_runtime': 152.3052, 'eval_samples_per_second': 31.01, 'eval_steps_per_second': 2.587, 'epoch': 5.07}


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 50%|█████     | 5000/10000 [1:42:37<1:36:30,  1.16s/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': 0.4992470443248749, 'eval_wer': 0.20464758511801143, 'eval_runtime': 148.0991, 'eval_samples_per_second': 31.891, 'eval_steps_per_second': 2.66, 'epoch': 5.7}
{'loss': 0.3773, 'learning_rate': 5.558888888888889e-05, 'epoch': 6.34}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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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***** Running Evaluation *****
  Num examples = 4723
  Batch size = 12
{'eval_loss': 0.49340707063674927, 'eval_wer': 0.2051738796000162, 'eval_runtime': 155.8909, 'eval_samples_per_second': 30.297, 'eval_steps_per_second': 2.527, 'epoch': 6.34}


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 60%|██████    | 6000/10000 [2:04:03<59:54,  1.11it/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': 0.47003018856048584, 'eval_wer': 0.19827132504756892, 'eval_runtime': 146.5312, 'eval_samples_per_second': 32.232, 'eval_steps_per_second': 2.689, 'epoch': 6.97}
{'loss': 0.3301, 'learning_rate': 4.447777777777778e-05, 'epoch': 7.6}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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 [2:15:24<44:20,  1.32it/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': 0.4938233494758606, 'eval_wer': 0.18738107768916237, 'eval_runtime': 154.4839, 'eval_samples_per_second': 30.573, 'eval_steps_per_second': 2.55, 'epoch': 7.6}


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 70%|███████   | 7000/10000 [2:26:42<39:37,  1.26it/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': 0.5363861322402954, 'eval_wer': 0.18934456094894944, 'eval_runtime': 163.224, 'eval_samples_per_second': 28.936, 'eval_steps_per_second': 2.414, 'epoch': 8.24}
{'loss': 0.2938, 'learning_rate': 3.336666666666667e-05, 'epoch': 8.87}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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 [2:38:12<14:56,  2.79it/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': 0.5169841051101685, 'eval_wer': 0.18300878506943039, 'eval_runtime': 164.5878, 'eval_samples_per_second': 28.696, 'eval_steps_per_second': 2.394, 'epoch': 8.87}


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 80%|████████  | 8000/10000 [2:49:47<49:26,  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': 0.5407580733299255, 'eval_wer': 0.18149062790980122, 'eval_runtime': 163.5687, 'eval_samples_per_second': 28.875, 'eval_steps_per_second': 2.409, 'epoch': 9.51}
{'loss': 0.2674, 'learning_rate': 2.225555555555556e-05, 'epoch': 10.14}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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 [3:01:20<37:26,  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': 0.5580623149871826, 'eval_wer': 0.173272337152342, 'eval_runtime': 162.7994, 'eval_samples_per_second': 29.011, 'eval_steps_per_second': 2.42, 'epoch': 10.14}


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 90%|█████████ | 9000/10000 [3:12:34<19:18,  1.16s/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': 0.538887083530426, 'eval_wer': 0.1719161167564066, 'eval_runtime': 163.5851, 'eval_samples_per_second': 28.872, 'eval_steps_per_second': 2.409, 'epoch': 10.77}
{'loss': 0.24, 'learning_rate': 1.1144444444444445e-05, 'epoch': 11.41}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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 [3:23:58<07:29,  1.11it/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': 0.5344488024711609, 'eval_wer': 0.17141006436986356, 'eval_runtime': 163.7329, 'eval_samples_per_second': 28.846, 'eval_steps_per_second': 2.406, 'epoch': 11.41}


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100%|██████████| 10000/10000 [3:34:43<00:00,  1.14it/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': 0.5502966046333313, 'eval_wer': 0.16863689729160763, 'eval_runtime': 154.8226, 'eval_samples_per_second': 30.506, 'eval_steps_per_second': 2.545, 'epoch': 12.04}
{'loss': 0.211, 'learning_rate': 3.3333333333333334e-08, 'epoch': 12.67}


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                                                 Saving model checkpoint to experiments/results/bs_exp/linear/wav2vec2-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/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-xls-r-300m/atcosim_uwb_atcc/0.0ld_0.0ad_0.0attd_0.05fpd_0.075mtp_12mtl_0.0mfp_12mfl_1acc/preprocessor_config.json
{'eval_loss': 0.5595183372497559, 'eval_wer': 0.16865713938706936, 'eval_runtime': 157.1471, 'eval_samples_per_second': 30.055, 'eval_steps_per_second': 2.507, 'epoch': 12.67}
{'train_runtime': 13054.0758, 'train_samples_per_second': 18.385, 'train_steps_per_second': 0.766, 'train_loss': 0.6397389862060547, 'epoch': 12.67}
***** train metrics *****
  epoch                    =      12.67
  train_loss               =     0.6397
  train_runtime            = 3:37:34.07
  train_samples            =      18925
  train_samples_per_second =     18.385
  train_steps_per_second   =      0.766
11/28/2022 11:57:50 - 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': 0.16865713938706936}]}
***** eval metrics *****
  epoch                   =      12.67
  eval_loss               =     0.5595
  eval_runtime            = 0:02:41.95
  eval_samples            =       4723
  eval_samples_per_second =     29.162
  eval_steps_per_second   =      2.433
  eval_wer                =     0.1687
# Accounting: time=13924 threads=1
# Finished at Mon 28 Nov 12:00:35 CET 2022 with status 0