12/12/2022 13:35:10 - WARNING - __main__ - Process rank: -1, device: cuda:0, n_gpu: 1distributed training: False, 16-bits training: True 12/12/2022 13:35:10 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( _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=1000, 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, generation_max_length=225, generation_num_beams=None, gradient_accumulation_steps=1, gradient_checkpointing=True, greater_is_better=None, group_by_length=False, half_precision_backend=auto, hub_model_id=None, hub_private_repo=False, hub_strategy=every_save, 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=1e-06, 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=./runs/Dec12_13-35-10_129-146-55-28, logging_first_step=False, logging_nan_inf_filter=True, logging_steps=25, logging_strategy=steps, lr_scheduler_type=linear, max_grad_norm=1.0, max_steps=5000, metric_for_best_model=None, mp_parameters=, no_cuda=False, num_train_epochs=3.0, optim=adamw_hf, optim_args=None, output_dir=./, overwrite_output_dir=True, past_index=-1, per_device_eval_batch_size=16, per_device_train_batch_size=32, predict_with_generate=True, prediction_loss_only=False, push_to_hub=True, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=, ray_scope=last, remove_unused_columns=True, report_to=['tensorboard'], resume_from_checkpoint=None, run_name=./, save_on_each_node=False, save_steps=1000, save_strategy=steps, save_total_limit=None, seed=42, sharded_ddp=[], skip_memory_metrics=True, sortish_sampler=False, tf32=None, torch_compile=False, torch_compile_backend=None, torch_compile_mode=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=200, weight_decay=0.0, xpu_backend=None, ) 12/12/2022 13:35:10 - INFO - __main__ - Training/evaluation parameters Seq2SeqTrainingArguments( _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=1000, 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, generation_max_length=225, generation_num_beams=None, gradient_accumulation_steps=1, gradient_checkpointing=True, greater_is_better=None, group_by_length=False, half_precision_backend=auto, hub_model_id=None, hub_private_repo=False, hub_strategy=every_save, 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=1e-06, 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=./runs/Dec12_13-35-10_129-146-55-28, logging_first_step=False, logging_nan_inf_filter=True, logging_steps=25, logging_strategy=steps, lr_scheduler_type=linear, max_grad_norm=1.0, max_steps=5000, metric_for_best_model=None, mp_parameters=, no_cuda=False, num_train_epochs=3.0, optim=adamw_hf, optim_args=None, output_dir=./, overwrite_output_dir=True, past_index=-1, per_device_eval_batch_size=16, per_device_train_batch_size=32, predict_with_generate=True, prediction_loss_only=False, push_to_hub=True, push_to_hub_model_id=None, push_to_hub_organization=None, push_to_hub_token=, ray_scope=last, remove_unused_columns=True, report_to=['tensorboard'], resume_from_checkpoint=None, run_name=./, save_on_each_node=False, save_steps=1000, save_strategy=steps, save_total_limit=None, seed=42, sharded_ddp=[], skip_memory_metrics=True, sortish_sampler=False, tf32=None, torch_compile=False, torch_compile_backend=None, torch_compile_mode=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=200, weight_decay=0.0, xpu_backend=None, ) 12/12/2022 13:35:12 - WARNING - datasets.builder - Using custom data configuration zeynepgulhan--mediaspeech-with-cv-tr-5f4b6cf5ea082abc 12/12/2022 13:35:13 - WARNING - datasets.builder - Using custom data configuration zeynepgulhan--mediaspeech-with-cv-tr-5f4b6cf5ea082abc [INFO|configuration_utils.py:654] 2022-12-12 13:35:13,635 >> loading configuration file config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/config.json [INFO|configuration_utils.py:706] 2022-12-12 13:35:13,638 >> Model config WhisperConfig { "_name_or_path": "openai/whisper-medium", "activation_dropout": 0.0, "activation_function": "gelu", "architectures": [ "WhisperForConditionalGeneration" ], "attention_dropout": 0.0, "begin_suppress_tokens": [ 220, 50257 ], "bos_token_id": 50257, "d_model": 1024, "decoder_attention_heads": 16, "decoder_ffn_dim": 4096, "decoder_layerdrop": 0.0, "decoder_layers": 24, "decoder_start_token_id": 50258, "dropout": 0.0, "encoder_attention_heads": 16, "encoder_ffn_dim": 4096, "encoder_layerdrop": 0.0, "encoder_layers": 24, "eos_token_id": 50257, "forced_decoder_ids": [ [ 1, 50259 ], [ 2, 50359 ], [ 3, 50363 ] ], "init_std": 0.02, "is_encoder_decoder": true, "max_length": 448, "max_source_positions": 1500, "max_target_positions": 448, "model_type": "whisper", "num_hidden_layers": 24, "num_mel_bins": 80, "pad_token_id": 50257, "scale_embedding": false, "suppress_tokens": [ 1, 2, 7, 8, 9, 10, 14, 25, 26, 27, 28, 29, 31, 58, 59, 60, 61, 62, 63, 90, 91, 92, 93, 359, 503, 522, 542, 873, 893, 902, 918, 922, 931, 1350, 1853, 1982, 2460, 2627, 3246, 3253, 3268, 3536, 3846, 3961, 4183, 4667, 6585, 6647, 7273, 9061, 9383, 10428, 10929, 11938, 12033, 12331, 12562, 13793, 14157, 14635, 15265, 15618, 16553, 16604, 18362, 18956, 20075, 21675, 22520, 26130, 26161, 26435, 28279, 29464, 31650, 32302, 32470, 36865, 42863, 47425, 49870, 50254, 50258, 50360, 50361, 50362 ], "torch_dtype": "float32", "transformers_version": "4.26.0.dev0", "use_cache": true, "vocab_size": 51865 } [INFO|feature_extraction_utils.py:464] 2022-12-12 13:35:13,878 >> loading configuration file preprocessor_config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/preprocessor_config.json [INFO|feature_extraction_utils.py:501] 2022-12-12 13:35:13,893 >> Feature extractor WhisperFeatureExtractor { "chunk_length": 30, "feature_extractor_type": "WhisperFeatureExtractor", "feature_size": 80, "hop_length": 160, "mel_filters": [ [ -0.0, 0.02486259490251541, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.001990821911022067, 0.022871771827340126, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.003981643822044134, 0.02088095061480999, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0059724655002355576, 0.018890129402279854, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.007963287644088268, 0.01689930632710457, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.009954108856618404, 0.014908484183251858, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011944931000471115, 0.012917662039399147, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.013935752213001251, 0.010926840826869011, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015926575288176537, 0.0089360186830163, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017917396500706673, 0.006945197004824877, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01990821771323681, 0.004954374860972166, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.021899040788412094, 0.0029635531827807426, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02388986200094223, 0.0009727313299663365, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025880683213472366, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025835324078798294, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010180906392633915, 0.023844502866268158, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003008912317454815, 0.021853681653738022, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004999734461307526, 0.019862858578562737, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006990555673837662, 0.0178720373660326, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008981377817690372, 0.015881216153502464, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.010972199961543083, 0.013890394009649754, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01296302117407322, 0.011899571865797043, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01495384331792593, 0.009908749721944332, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01694466546177864, 0.007917927578091621, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018935488536953926, 0.005927106365561485, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.020874010398983955, 0.004040425643324852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.022114217281341553, 0.0033186059445142746, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02173672430217266, 0.0036109676584601402, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.020497702062129974, 0.004762193653732538, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018486659973859787, 0.006592618301510811, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01585603691637516, 0.00896277092397213, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.012738768011331558, 0.011751330457627773, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009250369854271412, 0.014853144995868206, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005490840878337622, 0.018177473917603493, 0.0028155462350696325, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0015463664894923568, 0.01632951945066452, 0.007420188747346401, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011181050911545753, 0.012018864043056965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006065350491553545, 0.016561277210712433, 0.004360878840088844, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010297985281795263, 0.012770536355674267, 0.009707189165055752, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006986402906477451, 0.01485429983586073, 0.004391219466924667, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.001418047584593296, 0.011486922390758991, 0.010089744813740253, 0.00040022286702878773, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005411104764789343, 0.014735566452145576, 0.006518189795315266, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00827841367572546, 0.012277561239898205, 0.00396781275048852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002187808509916067, 0.010184479877352715, 0.00998187530785799, 0.0022864851634949446, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00386943481862545, 0.011274894699454308, 0.008466221392154694, 0.0013397691072896123, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004820294212549925, 0.011678251437842846, 0.007608682848513126, 0.0010091039584949613, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005156961735337973, 0.011507894843816757, 0.007301822770386934, 0.0011901655234396458, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004982104524970055, 0.010863498784601688, 0.007451189681887627, 0.001791381393559277, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004385921638458967, 0.009832492098212242, 0.007973956875503063, 0.002732589840888977, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034474546555429697, 0.008491347543895245, 0.008797688409686089, 0.00394382793456316, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0022357646375894547, 0.0069067515432834625, 0.009859241545200348, 0.005364237818866968, 0.0008692338014952838, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0008110002381727099, 0.005136650986969471, 0.00946230161935091, 0.0069410777650773525, 0.0027783995028585196, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003231203882023692, 0.007237049750983715, 0.00862883497029543, 0.004773912951350212, 0.0009189908159896731, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.001233637798577547, 0.0049433219246566296, 0.008653006516397, 0.006818502210080624, 0.003248583758249879, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0026164355222135782, 0.006051854696124792, 0.008880467154085636, 0.005574479699134827, 0.002268492942675948, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0002863667905330658, 0.003467798000201583, 0.0066492292098701, 0.00787146482616663, 0.004809896927326918, 0.0017483289120718837, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0009245910914614797, 0.0038708120118826628, 0.00681703258305788, 0.007283343467861414, 0.004448124207556248, 0.0016129047144204378, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0011703289346769452, 0.003898728871718049, 0.006627128925174475, 0.0070473202504217625, 0.004421714693307877, 0.0017961094854399562, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010892992140725255, 0.003615982597693801, 0.006142666097730398, 0.007102936040610075, 0.004671447444707155, 0.002239959081634879, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0007392280967906117, 0.0030791081953793764, 0.005418988410383463, 0.007397185545414686, 0.005145462695509195, 0.002893739379942417, 0.0006420162972062826, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00017068670422304422, 0.0023375742603093386, 0.004504461772739887, 0.0066713495180010796, 0.005798479542136192, 0.003713231300935149, 0.0016279831761494279, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0014345343224704266, 0.0034412189852446318, 0.005447904113680124, 0.006591092795133591, 0.004660011734813452, 0.002728930441662669, 0.0007978491485118866, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0004075043834745884, 0.002265830524265766, 0.004124156199395657, 0.005982482805848122, 0.005700822453945875, 0.003912510350346565, 0.0021241982467472553, 0.0003358862304594368, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010099108330905437, 0.002730846870690584, 0.004451782442629337, 0.006172718480229378, 0.005150905344635248, 0.0034948070533573627, 0.0018387088784947991, 0.0001826105872169137, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0012943691108375788, 0.002888072282075882, 0.004481775686144829, 0.006075479090213776, 0.0048866597935557365, 0.003353001084178686, 0.0018193417927250266, 0.00028568264679051936, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0013131388695910573, 0.0027890161145478487, 0.004264893010258675, 0.0057407706044614315, 0.004859979264438152, 0.0034397069830447435, 0.0020194342359900475, 0.0005991620710119605, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0011121684219688177, 0.002478930866345763, 0.0038456933107227087, 0.0052124555222690105, 0.005028639920055866, 0.0037133716978132725, 0.002398103242740035, 0.0010828346712514758, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0007317548734135926, 0.0019974694587290287, 0.003263183869421482, 0.004528898745775223, 0.005355686880648136, 0.004137659445405006, 0.0029196315445005894, 0.0017016039928421378, 0.0004835762665607035, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00020713974663522094, 0.0013792773243039846, 0.0025514145381748676, 0.003723552217707038, 0.004895689897239208, 0.004680895246565342, 0.0035529187880456448, 0.0024249425623565912, 0.0012969663366675377, 0.00016899015463422984, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006545265205204487, 0.0017400053329765797, 0.0028254841454327106, 0.003910962492227554, 0.004996441304683685, 0.0042709787376224995, 0.003226396394893527, 0.002181813819333911, 0.0011372314766049385, 9.264905384043232e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000854626705404371, 0.001859853626228869, 0.002865080488845706, 0.003870307235047221, 0.00487553421407938, 0.00408313749358058, 0.003115783678367734, 0.0021484296303242445, 0.001181075582280755, 0.0002137213887181133, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0008483415003865957, 0.0017792496364563704, 0.0027101580053567886, 0.0036410661414265633, 0.004571974277496338, 0.004079728852957487, 0.003183893393725157, 0.002288057701662183, 0.0013922222424298525, 0.0004963868414051831, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006716204807162285, 0.0015337044605985284, 0.002395788673311472, 0.0032578727696090937, 0.004119956865906715, 0.004227725323289633, 0.0033981208689510822, 0.0025685166474431753, 0.0017389123095199466, 0.0009093079133890569, 7.970355363795534e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0003559796023182571, 0.0011543278815224767, 0.0019526762189343572, 0.002751024439930916, 0.0035493727773427963, 0.004347721114754677, 0.0037299629766494036, 0.002961693098768592, 0.00219342322088778, 0.0014251532265916467, 0.0006568834069184959, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006682946113869548, 0.0014076193328946829, 0.0021469437051564455, 0.002886268775910139, 0.0036255933810025454, 0.004154576454311609, 0.0034431067761033773, 0.0027316368650645018, 0.0020201667211949825, 0.0013086966937407851, 0.0005972267827019095, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 9.926508937496692e-05, 0.0007839298341423273, 0.001468594535253942, 0.0021532592363655567, 0.0028379240538924932, 0.0035225888714194298, 0.0039915177039802074, 0.0033326479606330395, 0.002673778682947159, 0.002014909405261278, 0.0013560398947447538, 0.0006971705006435513, 3.8301113818306476e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00010181095422012731, 0.0007358568836934865, 0.0013699028640985489, 0.0020039486698806286, 0.002637994708493352, 0.0032720407471060753, 0.003906086552888155, 0.0033682563807815313, 0.0027580985333770514, 0.002147940918803215, 0.0015377833042293787, 0.0009276255150325596, 0.000317467754939571, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0005530364578589797, 0.0011402058880776167, 0.0017273754347115755, 0.0023145449813455343, 0.002901714527979493, 0.003488884074613452, 0.003523340215906501, 0.002958292607218027, 0.002393245231360197, 0.0018281979719176888, 0.001263150479644537, 0.0006981031037867069, 0.0001330557424807921, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0002608386566862464, 0.0008045974536798894, 0.0013483562506735325, 0.0018921148730441928, 0.0024358737282454967, 0.002979632467031479, 0.003523391205817461, 0.003251380519941449, 0.0027281083166599274, 0.002204835880547762, 0.001681563793681562, 0.001158291706815362, 0.0006350195035338402, 0.00011174729297636077, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0003849811910185963, 0.0008885387214832008, 0.001392096164636314, 0.0018956535495817661, 0.00239921105094254, 0.002902768552303314, 0.0034063260536640882, 0.003132763085886836, 0.0026481777895241976, 0.0021635922603309155, 0.0016790067311376333, 0.0011944210855290294, 0.0007098356145434082, 0.00022525011445395648, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000366741674952209, 0.0008330700220540166, 0.0012993983691558242, 0.0017657268326729536, 0.0022320549469441175, 0.002698383294045925, 0.0031647118739783764, 0.003141313325613737, 0.002692554146051407, 0.0022437951993197203, 0.00179503601975739, 0.0013462770730257034, 0.000897518009878695, 0.0004487590049393475, 0.0 ] ], "n_fft": 400, "n_samples": 480000, "nb_max_frames": 3000, "padding_side": "right", "padding_value": 0.0, "processor_class": "WhisperProcessor", "return_attention_mask": false, "sampling_rate": 16000 } [INFO|tokenization_utils_base.py:1799] 2022-12-12 13:35:14,132 >> loading file vocab.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/vocab.json [INFO|tokenization_utils_base.py:1799] 2022-12-12 13:35:14,132 >> loading file tokenizer.json from cache at None [INFO|tokenization_utils_base.py:1799] 2022-12-12 13:35:14,132 >> loading file merges.txt from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/merges.txt [INFO|tokenization_utils_base.py:1799] 2022-12-12 13:35:14,132 >> loading file normalizer.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/normalizer.json [INFO|tokenization_utils_base.py:1799] 2022-12-12 13:35:14,132 >> loading file added_tokens.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/added_tokens.json [INFO|tokenization_utils_base.py:1799] 2022-12-12 13:35:14,132 >> loading file special_tokens_map.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/special_tokens_map.json [INFO|tokenization_utils_base.py:1799] 2022-12-12 13:35:14,132 >> loading file tokenizer_config.json from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/tokenizer_config.json [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|endoftext|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|startoftranscript|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|en|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|zh|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|de|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|es|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|ru|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|ko|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|fr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|ja|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|pt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|tr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|pl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|ca|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|nl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|ar|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|sv|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|it|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|id|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|hi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|fi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|vi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|iw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,192 >> Adding <|uk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|el|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|ms|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|cs|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|ro|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|da|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|hu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|ta|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|no|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|th|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|ur|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|hr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|bg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|lt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|la|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|mi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|ml|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|cy|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|sk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|te|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|fa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|lv|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|bn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|sr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|az|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|sl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|kn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|et|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|mk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|br|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|eu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|is|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|hy|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|ne|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|mn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|bs|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|kk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|sq|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,193 >> Adding <|sw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|gl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|mr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|pa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|si|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|km|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|sn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|yo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|so|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|af|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|oc|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|ka|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|be|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|tg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|sd|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|gu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|am|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|yi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|lo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|uz|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|fo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|ht|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|ps|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|tk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|nn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|mt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|sa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|lb|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|my|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|bo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|tl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|mg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|as|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|tt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|haw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|ln|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|ha|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,194 >> Adding <|ba|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,195 >> Adding <|jw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,195 >> Adding <|su|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,195 >> Adding <|translate|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,195 >> Adding <|transcribe|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,195 >> Adding <|startoflm|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,195 >> Adding <|startofprev|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,195 >> Adding <|nocaptions|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:14,195 >> Adding <|notimestamps|> to the vocabulary [INFO|modeling_utils.py:2238] 2022-12-12 13:35:14,198 >> loading weights file pytorch_model.bin from cache at /home/ubuntu/.cache/huggingface/hub/models--openai--whisper-medium/snapshots/a0b3589e1034234495a1b696c28d4832cdaf8a32/pytorch_model.bin [INFO|modeling_utils.py:2742] 2022-12-12 13:35:22,642 >> All model checkpoint weights were used when initializing WhisperForConditionalGeneration. [INFO|modeling_utils.py:2750] 2022-12-12 13:35:22,642 >> All the weights of WhisperForConditionalGeneration were initialized from the model checkpoint at openai/whisper-medium. If your task is similar to the task the model of the checkpoint was trained on, you can already use WhisperForConditionalGeneration for predictions without further training. [INFO|feature_extraction_utils.py:368] 2022-12-12 13:35:23,314 >> Feature extractor saved in ./preprocessor_config.json [INFO|tokenization_utils_base.py:2157] 2022-12-12 13:35:23,315 >> tokenizer config file saved in ./tokenizer_config.json [INFO|tokenization_utils_base.py:2164] 2022-12-12 13:35:23,315 >> Special tokens file saved in ./special_tokens_map.json [INFO|tokenization_utils_base.py:2210] 2022-12-12 13:35:23,315 >> added tokens file saved in ./added_tokens.json [INFO|configuration_utils.py:447] 2022-12-12 13:35:23,397 >> Configuration saved in ./config.json [INFO|image_processing_utils.py:294] 2022-12-12 13:35:23,399 >> loading configuration file ./preprocessor_config.json [INFO|feature_extraction_utils.py:462] 2022-12-12 13:35:23,405 >> loading configuration file ./preprocessor_config.json [INFO|feature_extraction_utils.py:501] 2022-12-12 13:35:23,420 >> Feature extractor WhisperFeatureExtractor { "chunk_length": 30, "feature_extractor_type": "WhisperFeatureExtractor", "feature_size": 80, "hop_length": 160, "mel_filters": [ [ -0.0, 0.02486259490251541, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.001990821911022067, 0.022871771827340126, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.003981643822044134, 0.02088095061480999, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0059724655002355576, 0.018890129402279854, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.007963287644088268, 0.01689930632710457, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.009954108856618404, 0.014908484183251858, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011944931000471115, 0.012917662039399147, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.013935752213001251, 0.010926840826869011, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.015926575288176537, 0.0089360186830163, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.017917396500706673, 0.006945197004824877, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01990821771323681, 0.004954374860972166, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.021899040788412094, 0.0029635531827807426, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02388986200094223, 0.0009727313299663365, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025880683213472366, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.025835324078798294, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010180906392633915, 0.023844502866268158, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003008912317454815, 0.021853681653738022, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004999734461307526, 0.019862858578562737, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006990555673837662, 0.0178720373660326, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.008981377817690372, 0.015881216153502464, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.010972199961543083, 0.013890394009649754, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01296302117407322, 0.011899571865797043, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01495384331792593, 0.009908749721944332, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01694466546177864, 0.007917927578091621, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018935488536953926, 0.005927106365561485, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.020874010398983955, 0.004040425643324852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.022114217281341553, 0.0033186059445142746, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.02173672430217266, 0.0036109676584601402, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.020497702062129974, 0.004762193653732538, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.018486659973859787, 0.006592618301510811, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.01585603691637516, 0.00896277092397213, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.012738768011331558, 0.011751330457627773, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.009250369854271412, 0.014853144995868206, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005490840878337622, 0.018177473917603493, 0.0028155462350696325, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0015463664894923568, 0.01632951945066452, 0.007420188747346401, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.011181050911545753, 0.012018864043056965, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006065350491553545, 0.016561277210712433, 0.004360878840088844, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010297985281795263, 0.012770536355674267, 0.009707189165055752, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.006986402906477451, 0.01485429983586073, 0.004391219466924667, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.001418047584593296, 0.011486922390758991, 0.010089744813740253, 0.00040022286702878773, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005411104764789343, 0.014735566452145576, 0.006518189795315266, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00827841367572546, 0.012277561239898205, 0.00396781275048852, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.002187808509916067, 0.010184479877352715, 0.00998187530785799, 0.0022864851634949446, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00386943481862545, 0.011274894699454308, 0.008466221392154694, 0.0013397691072896123, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004820294212549925, 0.011678251437842846, 0.007608682848513126, 0.0010091039584949613, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.005156961735337973, 0.011507894843816757, 0.007301822770386934, 0.0011901655234396458, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004982104524970055, 0.010863498784601688, 0.007451189681887627, 0.001791381393559277, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.004385921638458967, 0.009832492098212242, 0.007973956875503063, 0.002732589840888977, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0034474546555429697, 0.008491347543895245, 0.008797688409686089, 0.00394382793456316, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0022357646375894547, 0.0069067515432834625, 0.009859241545200348, 0.005364237818866968, 0.0008692338014952838, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0008110002381727099, 0.005136650986969471, 0.00946230161935091, 0.0069410777650773525, 0.0027783995028585196, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.003231203882023692, 0.007237049750983715, 0.00862883497029543, 0.004773912951350212, 0.0009189908159896731, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.001233637798577547, 0.0049433219246566296, 0.008653006516397, 0.006818502210080624, 0.003248583758249879, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0026164355222135782, 0.006051854696124792, 0.008880467154085636, 0.005574479699134827, 0.002268492942675948, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0002863667905330658, 0.003467798000201583, 0.0066492292098701, 0.00787146482616663, 0.004809896927326918, 0.0017483289120718837, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0009245910914614797, 0.0038708120118826628, 0.00681703258305788, 0.007283343467861414, 0.004448124207556248, 0.0016129047144204378, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0011703289346769452, 0.003898728871718049, 0.006627128925174475, 0.0070473202504217625, 0.004421714693307877, 0.0017961094854399562, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010892992140725255, 0.003615982597693801, 0.006142666097730398, 0.007102936040610075, 0.004671447444707155, 0.002239959081634879, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0007392280967906117, 0.0030791081953793764, 0.005418988410383463, 0.007397185545414686, 0.005145462695509195, 0.002893739379942417, 0.0006420162972062826, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00017068670422304422, 0.0023375742603093386, 0.004504461772739887, 0.0066713495180010796, 0.005798479542136192, 0.003713231300935149, 0.0016279831761494279, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0014345343224704266, 0.0034412189852446318, 0.005447904113680124, 0.006591092795133591, 0.004660011734813452, 0.002728930441662669, 0.0007978491485118866, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0004075043834745884, 0.002265830524265766, 0.004124156199395657, 0.005982482805848122, 0.005700822453945875, 0.003912510350346565, 0.0021241982467472553, 0.0003358862304594368, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0010099108330905437, 0.002730846870690584, 0.004451782442629337, 0.006172718480229378, 0.005150905344635248, 0.0034948070533573627, 0.0018387088784947991, 0.0001826105872169137, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0012943691108375788, 0.002888072282075882, 0.004481775686144829, 0.006075479090213776, 0.0048866597935557365, 0.003353001084178686, 0.0018193417927250266, 0.00028568264679051936, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0013131388695910573, 0.0027890161145478487, 0.004264893010258675, 0.0057407706044614315, 0.004859979264438152, 0.0034397069830447435, 0.0020194342359900475, 0.0005991620710119605, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0011121684219688177, 0.002478930866345763, 0.0038456933107227087, 0.0052124555222690105, 0.005028639920055866, 0.0037133716978132725, 0.002398103242740035, 0.0010828346712514758, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0007317548734135926, 0.0019974694587290287, 0.003263183869421482, 0.004528898745775223, 0.005355686880648136, 0.004137659445405006, 0.0029196315445005894, 0.0017016039928421378, 0.0004835762665607035, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00020713974663522094, 0.0013792773243039846, 0.0025514145381748676, 0.003723552217707038, 0.004895689897239208, 0.004680895246565342, 0.0035529187880456448, 0.0024249425623565912, 0.0012969663366675377, 0.00016899015463422984, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006545265205204487, 0.0017400053329765797, 0.0028254841454327106, 0.003910962492227554, 0.004996441304683685, 0.0042709787376224995, 0.003226396394893527, 0.002181813819333911, 0.0011372314766049385, 9.264905384043232e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000854626705404371, 0.001859853626228869, 0.002865080488845706, 0.003870307235047221, 0.00487553421407938, 0.00408313749358058, 0.003115783678367734, 0.0021484296303242445, 0.001181075582280755, 0.0002137213887181133, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0008483415003865957, 0.0017792496364563704, 0.0027101580053567886, 0.0036410661414265633, 0.004571974277496338, 0.004079728852957487, 0.003183893393725157, 0.002288057701662183, 0.0013922222424298525, 0.0004963868414051831, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006716204807162285, 0.0015337044605985284, 0.002395788673311472, 0.0032578727696090937, 0.004119956865906715, 0.004227725323289633, 0.0033981208689510822, 0.0025685166474431753, 0.0017389123095199466, 0.0009093079133890569, 7.970355363795534e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0003559796023182571, 0.0011543278815224767, 0.0019526762189343572, 0.002751024439930916, 0.0035493727773427963, 0.004347721114754677, 0.0037299629766494036, 0.002961693098768592, 0.00219342322088778, 0.0014251532265916467, 0.0006568834069184959, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0006682946113869548, 0.0014076193328946829, 0.0021469437051564455, 0.002886268775910139, 0.0036255933810025454, 0.004154576454311609, 0.0034431067761033773, 0.0027316368650645018, 0.0020201667211949825, 0.0013086966937407851, 0.0005972267827019095, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 9.926508937496692e-05, 0.0007839298341423273, 0.001468594535253942, 0.0021532592363655567, 0.0028379240538924932, 0.0035225888714194298, 0.0039915177039802074, 0.0033326479606330395, 0.002673778682947159, 0.002014909405261278, 0.0013560398947447538, 0.0006971705006435513, 3.8301113818306476e-05, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.00010181095422012731, 0.0007358568836934865, 0.0013699028640985489, 0.0020039486698806286, 0.002637994708493352, 0.0032720407471060753, 0.003906086552888155, 0.0033682563807815313, 0.0027580985333770514, 0.002147940918803215, 0.0015377833042293787, 0.0009276255150325596, 0.000317467754939571, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0005530364578589797, 0.0011402058880776167, 0.0017273754347115755, 0.0023145449813455343, 0.002901714527979493, 0.003488884074613452, 0.003523340215906501, 0.002958292607218027, 0.002393245231360197, 0.0018281979719176888, 0.001263150479644537, 0.0006981031037867069, 0.0001330557424807921, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0002608386566862464, 0.0008045974536798894, 0.0013483562506735325, 0.0018921148730441928, 0.0024358737282454967, 0.002979632467031479, 0.003523391205817461, 0.003251380519941449, 0.0027281083166599274, 0.002204835880547762, 0.001681563793681562, 0.001158291706815362, 0.0006350195035338402, 0.00011174729297636077, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0003849811910185963, 0.0008885387214832008, 0.001392096164636314, 0.0018956535495817661, 0.00239921105094254, 0.002902768552303314, 0.0034063260536640882, 0.003132763085886836, 0.0026481777895241976, 0.0021635922603309155, 0.0016790067311376333, 0.0011944210855290294, 0.0007098356145434082, 0.00022525011445395648, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0 ], [ 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.000366741674952209, 0.0008330700220540166, 0.0012993983691558242, 0.0017657268326729536, 0.0022320549469441175, 0.002698383294045925, 0.0031647118739783764, 0.003141313325613737, 0.002692554146051407, 0.0022437951993197203, 0.00179503601975739, 0.0013462770730257034, 0.000897518009878695, 0.0004487590049393475, 0.0 ] ], "n_fft": 400, "n_samples": 480000, "nb_max_frames": 3000, "padding_side": "right", "padding_value": 0.0, "processor_class": "WhisperProcessor", "return_attention_mask": false, "sampling_rate": 16000 } [INFO|tokenization_utils_base.py:1797] 2022-12-12 13:35:23,421 >> loading file vocab.json [INFO|tokenization_utils_base.py:1797] 2022-12-12 13:35:23,421 >> loading file tokenizer.json [INFO|tokenization_utils_base.py:1797] 2022-12-12 13:35:23,421 >> loading file merges.txt [INFO|tokenization_utils_base.py:1797] 2022-12-12 13:35:23,421 >> loading file normalizer.json [INFO|tokenization_utils_base.py:1797] 2022-12-12 13:35:23,421 >> loading file added_tokens.json [INFO|tokenization_utils_base.py:1797] 2022-12-12 13:35:23,421 >> loading file special_tokens_map.json [INFO|tokenization_utils_base.py:1797] 2022-12-12 13:35:23,421 >> loading file tokenizer_config.json [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|endoftext|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|startoftranscript|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|en|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|zh|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|de|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|es|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|ru|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|ko|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|fr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|ja|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|pt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|tr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|pl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|ca|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|nl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|ar|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|sv|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|it|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|id|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|hi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|fi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|vi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|iw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|uk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|el|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|ms|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|cs|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|ro|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|da|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|hu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|ta|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,478 >> Adding <|no|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|th|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|ur|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|hr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|bg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|lt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|la|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|mi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|ml|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|cy|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|sk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|te|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|fa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|lv|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|bn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|sr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|az|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|sl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|kn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|et|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|mk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|br|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|eu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|is|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|hy|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|ne|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|mn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|bs|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|kk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|sq|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|sw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|gl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|mr|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|pa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|si|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|km|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|sn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,479 >> Adding <|yo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|so|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|af|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|oc|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|ka|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|be|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|tg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|sd|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|gu|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|am|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|yi|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|lo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|uz|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|fo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|ht|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|ps|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|tk|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|nn|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|mt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|sa|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|lb|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|my|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|bo|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|tl|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|mg|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|as|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|tt|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|haw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|ln|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|ha|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|ba|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|jw|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|su|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|translate|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|transcribe|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,480 >> Adding <|startoflm|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,481 >> Adding <|startofprev|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,481 >> Adding <|nocaptions|> to the vocabulary [INFO|tokenization_utils.py:426] 2022-12-12 13:35:23,481 >> Adding <|notimestamps|> to the vocabulary /home/ubuntu/whisper-mediaspeech-cv-tr-v2/./ is already a clone of https://huggingface.co/zeynepgulhan/whisper-mediaspeech-cv-tr-v2. Make sure you pull the latest changes with `repo.git_pull()`. 12/12/2022 13:35:25 - WARNING - huggingface_hub.repository - /home/ubuntu/whisper-mediaspeech-cv-tr-v2/./ is already a clone of https://huggingface.co/zeynepgulhan/whisper-mediaspeech-cv-tr-v2. Make sure you pull the latest changes with `repo.git_pull()`. [INFO|trainer.py:511] 2022-12-12 13:35:28,033 >> max_steps is given, it will override any value given in num_train_epochs [INFO|trainer.py:565] 2022-12-12 13:35:28,034 >> Using cuda_amp half precision backend /home/ubuntu/hf_env/lib/python3.8/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( [INFO|trainer.py:1642] 2022-12-12 13:35:28,055 >> ***** Running training ***** [INFO|trainer.py:1643] 2022-12-12 13:35:28,055 >> Num examples = 160000 [INFO|trainer.py:1644] 2022-12-12 13:35:28,055 >> Num Epochs = 9223372036854775807 [INFO|trainer.py:1645] 2022-12-12 13:35:28,055 >> Instantaneous batch size per device = 32 [INFO|trainer.py:1646] 2022-12-12 13:35:28,055 >> Total train batch size (w. parallel, distributed & accumulation) = 32 [INFO|trainer.py:1647] 2022-12-12 13:35:28,055 >> Gradient Accumulation steps = 1 [INFO|trainer.py:1648] 2022-12-12 13:35:28,055 >> Total optimization steps = 5000 [INFO|trainer.py:1649] 2022-12-12 13:35:28,057 >> Number of trainable parameters = 763857920 0%| | 0/5000 [00:00> The following columns in the training set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 0%| | 1/5000 [00:41<57:54:07, 41.70s/it] 0%| | 2/5000 [00:46<27:58:36, 20.15s/it] 0%| | 3/5000 [00:51<18:27:52, 13.30s/it] 0%| | 4/5000 [00:57<14:02:27, 10.12s/it] 0%| | 5/5000 [01:03<11:55:32, 8.60s/it] 0%| | 6/5000 [01:08<10:15:51, 7.40s/it] 0%| | 7/5000 [01:13<9:14:36, 6.66s/it] 0%| | 8/5000 [01:18<8:35:30, 6.20s/it] 0%| | 9/5000 [01:23<8:11:38, 5.91s/it] 0%| | 10/5000 [01:30<8:33:08, 6.17s/it] 0%| | 11/5000 [01:36<8:30:18, 6.14s/it] 0%| | 12/5000 [01:41<8:06:52, 5.86s/it] 0%| | 13/5000 [01:47<8:12:16, 5.92s/it] 0%| | 14/5000 [01:53<7:57:21, 5.74s/it] 0%| | 15/5000 [01:58<7:41:58, 5.56s/it] 0%| | 16/5000 [02:03<7:31:53, 5.44s/it] 0%| | 17/5000 [02:08<7:24:10, 5.35s/it] 0%| | 18/5000 [02:13<7:20:47, 5.31s/it] 0%| | 19/5000 [02:18<7:15:09, 5.24s/it] 0%| | 20/5000 [02:24<7:14:28, 5.23s/it] 0%| | 21/5000 [02:29<7:12:56, 5.22s/it] 0%| | 22/5000 [02:35<7:37:36, 5.52s/it] 0%| | 23/5000 [02:40<7:29:11, 5.42s/it] 0%| | 24/5000 [02:45<7:23:56, 5.35s/it] 0%| | 25/5000 [02:52<7:44:52, 5.61s/it] 0%| | 25/5000 [02:52<7:44:52, 5.61s/it] 1%| | 26/5000 [02:59<8:28:59, 6.14s/it] 1%| | 27/5000 [03:04<8:07:13, 5.88s/it] 1%| | 28/5000 [03:11<8:20:52, 6.04s/it] 1%| | 29/5000 [03:16<7:58:16, 5.77s/it] 1%| | 30/5000 [03:21<7:50:21, 5.68s/it] 1%| | 31/5000 [03:27<8:00:09, 5.80s/it] 1%| | 32/5000 [03:33<7:46:38, 5.64s/it] 1%| | 33/5000 [03:38<7:40:34, 5.56s/it] 1%| | 34/5000 [03:46<8:38:52, 6.27s/it] 1%| | 35/5000 [03:52<8:30:24, 6.17s/it] 1%| | 36/5000 [03:57<8:05:12, 5.86s/it] 1%| | 37/5000 [04:02<7:47:35, 5.65s/it] 1%| | 38/5000 [04:07<7:35:40, 5.51s/it] 1%| | 39/5000 [04:13<7:26:27, 5.40s/it] 1%| | 40/5000 [04:23<9:31:12, 6.91s/it] 1%| | 41/5000 [04:28<8:48:03, 6.39s/it] 1%| | 42/5000 [04:33<8:20:10, 6.05s/it] 1%| | 43/5000 [04:39<8:00:05, 5.81s/it] 1%| | 44/5000 [04:44<7:43:13, 5.61s/it] 1%| | 45/5000 [04:49<7:32:33, 5.48s/it] 1%| | 46/5000 [04:54<7:26:57, 5.41s/it] 1%| | 47/5000 [05:01<7:50:22, 5.70s/it] 1%| | 48/5000 [05:07<8:19:48, 6.06s/it] 1%| | 49/5000 [05:13<8:00:38, 5.82s/it] 1%| | 50/5000 [05:18<7:44:09, 5.63s/it] 1%| | 50/5000 [05:18<7:44:09, 5.63s/it] 1%| | 51/5000 [05:23<7:34:34, 5.51s/it] 1%| | 52/5000 [05:29<7:30:55, 5.47s/it] 1%| | 53/5000 [05:34<7:27:06, 5.42s/it] 1%| | 54/5000 [05:40<7:41:09, 5.59s/it] 1%| | 55/5000 [05:45<7:31:54, 5.48s/it] 1%| | 56/5000 [05:50<7:27:18, 5.43s/it] 1%| | 57/5000 [05:57<7:59:42, 5.82s/it] 1%| | 58/5000 [06:02<7:44:09, 5.64s/it] 1%| | 59/5000 [06:08<7:34:00, 5.51s/it] 1%| | 60/5000 [06:13<7:27:28, 5.43s/it] 1%| | 61/5000 [06:18<7:21:49, 5.37s/it] 1%| | 62/5000 [06:23<7:19:00, 5.33s/it] 1%|▏ | 63/5000 [06:28<7:16:52, 5.31s/it] 1%|▏ | 64/5000 [06:34<7:15:07, 5.29s/it] 1%|▏ | 65/5000 [06:39<7:14:15, 5.28s/it] 1%|▏ | 66/5000 [06:44<7:12:22, 5.26s/it] 1%|▏ | 67/5000 [06:49<7:11:51, 5.25s/it] 1%|▏ | 68/5000 [06:57<8:05:59, 5.91s/it] 1%|▏ | 69/5000 [07:02<7:58:14, 5.82s/it] 1%|▏ | 70/5000 [07:08<7:44:06, 5.65s/it] 1%|▏ | 71/5000 [07:13<7:32:18, 5.51s/it] 1%|▏ | 72/5000 [07:18<7:23:10, 5.40s/it] 1%|▏ | 73/5000 [07:23<7:19:22, 5.35s/it] 1%|▏ | 74/5000 [07:29<7:16:19, 5.31s/it] 2%|▏ | 75/5000 [07:34<7:14:47, 5.30s/it] 2%|▏ | 75/5000 [07:34<7:14:47, 5.30s/it] 2%|▏ | 76/5000 [07:39<7:13:17, 5.28s/it] 2%|▏ | 77/5000 [07:44<7:10:45, 5.25s/it] 2%|▏ | 78/5000 [07:49<7:06:29, 5.20s/it] 2%|▏ | 79/5000 [07:55<7:23:01, 5.40s/it] 2%|▏ | 80/5000 [08:00<7:19:06, 5.35s/it] 2%|▏ | 81/5000 [08:06<7:16:36, 5.33s/it] 2%|▏ | 82/5000 [08:11<7:12:44, 5.28s/it] 2%|▏ | 83/5000 [08:16<7:12:23, 5.28s/it] 2%|▏ | 84/5000 [08:21<7:10:42, 5.26s/it] 2%|▏ | 85/5000 [08:27<7:09:59, 5.25s/it] 2%|▏ | 86/5000 [08:32<7:10:47, 5.26s/it] 2%|▏ | 87/5000 [08:37<7:07:32, 5.22s/it] 2%|▏ | 88/5000 [08:42<7:07:25, 5.22s/it] 2%|▏ | 89/5000 [08:48<7:17:41, 5.35s/it] 2%|▏ | 90/5000 [08:53<7:14:33, 5.31s/it] 2%|▏ | 91/5000 [08:58<7:14:29, 5.31s/it] 2%|▏ | 92/5000 [09:04<7:22:24, 5.41s/it] 2%|▏ | 93/5000 [09:09<7:17:22, 5.35s/it] 2%|▏ | 94/5000 [09:14<7:11:37, 5.28s/it] 2%|▏ | 95/5000 [09:25<9:25:19, 6.92s/it] 2%|▏ | 96/5000 [09:30<8:43:50, 6.41s/it] 2%|▏ | 97/5000 [09:36<8:15:50, 6.07s/it] 2%|▏ | 98/5000 [09:42<8:32:42, 6.28s/it] 2%|▏ | 99/5000 [09:48<8:07:58, 5.97s/it] 2%|▏ | 100/5000 [09:53<7:49:26, 5.75s/it] 2%|▏ | 100/5000 [09:53<7:49:26, 5.75s/it] 2%|▏ | 101/5000 [09:58<7:37:37, 5.60s/it] 2%|▏ | 102/5000 [10:03<7:28:49, 5.50s/it] 2%|▏ | 103/5000 [10:09<7:23:08, 5.43s/it] 2%|▏ | 104/5000 [10:15<7:42:17, 5.67s/it] 2%|▏ | 105/5000 [10:20<7:32:02, 5.54s/it] 2%|▏ | 106/5000 [10:25<7:24:54, 5.45s/it] 2%|▏ | 107/5000 [10:31<7:20:21, 5.40s/it] 2%|▏ | 108/5000 [10:36<7:16:16, 5.35s/it] 2%|▏ | 109/5000 [10:41<7:13:46, 5.32s/it] 2%|▏ | 110/5000 [10:46<7:13:59, 5.33s/it] 2%|▏ | 111/5000 [10:52<7:11:30, 5.30s/it] 2%|▏ | 112/5000 [10:58<7:29:53, 5.52s/it] 2%|▏ | 113/5000 [11:03<7:24:06, 5.45s/it] 2%|▏ | 114/5000 [11:09<7:46:58, 5.73s/it] 2%|▏ | 115/5000 [11:14<7:31:28, 5.55s/it] 2%|▏ | 116/5000 [11:20<7:24:39, 5.46s/it] 2%|▏ | 117/5000 [11:25<7:19:43, 5.40s/it] 2%|▏ | 118/5000 [11:30<7:15:23, 5.35s/it] 2%|▏ | 119/5000 [11:35<7:11:09, 5.30s/it] 2%|▏ | 120/5000 [11:41<7:09:57, 5.29s/it] 2%|▏ | 121/5000 [11:46<7:07:17, 5.25s/it] 2%|▏ | 122/5000 [11:51<7:08:12, 5.27s/it] 2%|▏ | 123/5000 [11:57<7:22:06, 5.44s/it] 2%|▏ | 124/5000 [12:02<7:16:29, 5.37s/it] 2%|▎ | 125/5000 [12:07<7:11:52, 5.32s/it] 2%|▎ | 125/5000 [12:07<7:11:52, 5.32s/it] 3%|▎ | 126/5000 [12:13<7:07:55, 5.27s/it] 3%|▎ | 127/5000 [12:18<7:06:14, 5.25s/it] 3%|▎ | 128/5000 [12:23<7:05:57, 5.25s/it] 3%|▎ | 129/5000 [12:28<7:05:02, 5.24s/it] 3%|▎ | 130/5000 [12:34<7:06:40, 5.26s/it] 3%|▎ | 131/5000 [12:39<7:06:33, 5.26s/it] 3%|▎ | 132/5000 [12:44<7:10:26, 5.31s/it] 3%|▎ | 133/5000 [12:52<8:19:07, 6.15s/it] 3%|▎ | 134/5000 [12:58<7:55:48, 5.87s/it] 3%|▎ | 135/5000 [13:03<7:39:41, 5.67s/it] 3%|▎ | 136/5000 [13:08<7:30:04, 5.55s/it] 3%|▎ | 137/5000 [13:14<7:47:09, 5.76s/it] 3%|▎ | 138/5000 [13:19<7:31:39, 5.57s/it] 3%|▎ | 139/5000 [13:25<7:25:07, 5.49s/it] 3%|▎ | 140/5000 [13:32<8:14:29, 6.10s/it] 3%|▎ | 141/5000 [13:37<7:53:55, 5.85s/it] 3%|▎ | 142/5000 [13:43<7:38:46, 5.67s/it] 3%|▎ | 143/5000 [13:48<7:28:54, 5.55s/it] 3%|▎ | 144/5000 [13:53<7:21:39, 5.46s/it] 3%|▎ | 145/5000 [13:58<7:12:39, 5.35s/it] 3%|▎ | 146/5000 [14:04<7:09:35, 5.31s/it] 3%|▎ | 147/5000 [14:09<7:21:40, 5.46s/it] 3%|▎ | 148/5000 [14:15<7:17:23, 5.41s/it] 3%|▎ | 149/5000 [14:20<7:12:51, 5.35s/it] 3%|▎ | 150/5000 [14:31<9:32:30, 7.08s/it] 3%|▎ | 150/5000 [14:31<9:32:30, 7.08s/it] 3%|▎ | 151/5000 [14:36<8:45:58, 6.51s/it] 3%|▎ | 152/5000 [14:41<8:15:36, 6.13s/it] 3%|▎ | 153/5000 [14:47<7:50:17, 5.82s/it] 3%|▎ | 154/5000 [14:52<7:35:45, 5.64s/it] 3%|▎ | 155/5000 [14:57<7:25:12, 5.51s/it] 3%|▎ | 156/5000 [15:02<7:16:53, 5.41s/it] 3%|▎ | 157/5000 [15:07<7:12:39, 5.36s/it] 3%|▎ | 158/5000 [15:13<7:08:51, 5.31s/it] 3%|▎ | 159/5000 [15:18<7:04:26, 5.26s/it] 3%|▎ | 160/5000 [15:23<7:04:27, 5.26s/it] 3%|▎ | 161/5000 [15:28<7:04:32, 5.26s/it] 3%|▎ | 162/5000 [15:33<7:03:45, 5.26s/it] 3%|▎ | 163/5000 [15:39<7:13:10, 5.37s/it] 3%|▎ | 164/5000 [15:44<7:08:05, 5.31s/it] 3%|▎ | 165/5000 [15:51<7:33:35, 5.63s/it] 3%|▎ | 166/5000 [15:56<7:24:09, 5.51s/it] 3%|▎ | 167/5000 [16:01<7:23:56, 5.51s/it] 3%|▎ | 168/5000 [16:07<7:17:55, 5.44s/it] 3%|▎ | 169/5000 [16:12<7:11:06, 5.35s/it] 3%|▎ | 170/5000 [16:17<7:08:49, 5.33s/it] 3%|▎ | 171/5000 [16:22<7:06:36, 5.30s/it] 3%|▎ | 172/5000 [16:28<7:05:02, 5.28s/it] 3%|▎ | 173/5000 [16:33<7:04:07, 5.27s/it] 3%|▎ | 174/5000 [16:38<7:03:01, 5.26s/it] 4%|▎ | 175/5000 [16:44<7:08:48, 5.33s/it] 4%|▎ | 175/5000 [16:44<7:08:48, 5.33s/it] 4%|▎ | 176/5000 [16:52<8:27:56, 6.32s/it] 4%|▎ | 177/5000 [16:57<8:00:15, 5.97s/it] 4%|▎ | 178/5000 [17:03<7:41:53, 5.75s/it] 4%|▎ | 179/5000 [17:08<7:27:35, 5.57s/it] 4%|▎ | 180/5000 [17:13<7:26:42, 5.56s/it] 4%|▎ | 181/5000 [17:19<7:20:22, 5.48s/it] 4%|▎ | 182/5000 [17:24<7:14:11, 5.41s/it] 4%|▎ | 183/5000 [17:29<7:07:41, 5.33s/it] 4%|▎ | 184/5000 [17:34<7:03:33, 5.28s/it] 4%|▎ | 185/5000 [17:39<7:02:52, 5.27s/it] 4%|▎ | 186/5000 [17:45<7:05:45, 5.31s/it] 4%|▎ | 187/5000 [17:53<8:11:02, 6.12s/it] 4%|▍ | 188/5000 [17:58<7:49:40, 5.86s/it] 4%|▍ | 189/5000 [18:03<7:31:53, 5.64s/it] 4%|▍ | 190/5000 [18:08<7:23:23, 5.53s/it] 4%|▍ | 191/5000 [18:16<8:09:31, 6.11s/it] 4%|▍ | 192/5000 [18:21<7:48:17, 5.84s/it] 4%|▍ | 193/5000 [18:26<7:33:54, 5.67s/it] 4%|▍ | 194/5000 [18:32<7:40:46, 5.75s/it] 4%|▍ | 195/5000 [18:38<7:28:59, 5.61s/it] 4%|▍ | 196/5000 [18:43<7:16:35, 5.45s/it] 4%|▍ | 197/5000 [18:48<7:11:08, 5.39s/it] 4%|▍ | 198/5000 [18:53<7:06:44, 5.33s/it] 4%|▍ | 199/5000 [18:58<7:07:42, 5.35s/it] 4%|▍ | 200/5000 [19:04<7:05:20, 5.32s/it] 4%|▍ | 200/5000 [19:04<7:05:20, 5.32s/it] 4%|▍ | 201/5000 [19:10<7:24:29, 5.56s/it] 4%|▍ | 202/5000 [19:15<7:19:05, 5.49s/it] 4%|▍ | 203/5000 [19:21<7:25:24, 5.57s/it] 4%|▍ | 204/5000 [19:31<9:12:34, 6.91s/it] 4%|▍ | 205/5000 [19:36<8:31:38, 6.40s/it] 4%|▍ | 206/5000 [19:41<8:04:49, 6.07s/it] 4%|▍ | 207/5000 [19:47<7:45:29, 5.83s/it] 4%|▍ | 208/5000 [19:52<7:33:34, 5.68s/it] 4%|▍ | 209/5000 [19:57<7:23:46, 5.56s/it] 4%|▍ | 210/5000 [20:03<7:15:51, 5.46s/it] 4%|▍ | 211/5000 [20:08<7:10:43, 5.40s/it] 4%|▍ | 212/5000 [20:13<7:07:50, 5.36s/it] 4%|▍ | 213/5000 [20:18<7:04:05, 5.32s/it] 4%|▍ | 214/5000 [20:23<7:00:17, 5.27s/it] 4%|▍ | 215/5000 [20:29<7:10:51, 5.40s/it] 4%|▍ | 216/5000 [20:34<7:06:12, 5.35s/it] 4%|▍ | 217/5000 [20:40<7:08:28, 5.38s/it] 4%|▍ | 218/5000 [20:45<7:07:13, 5.36s/it] 4%|▍ | 219/5000 [20:50<7:02:09, 5.30s/it] 4%|▍ | 220/5000 [20:57<7:29:18, 5.64s/it] 4%|▍ | 221/5000 [21:02<7:21:02, 5.54s/it] 4%|▍ | 222/5000 [21:07<7:15:34, 5.47s/it] 4%|▍ | 223/5000 [21:13<7:26:59, 5.61s/it] 4%|▍ | 224/5000 [21:19<7:18:24, 5.51s/it] 4%|▍ | 225/5000 [21:24<7:11:12, 5.42s/it] 4%|▍ | 225/5000 [21:24<7:11:12, 5.42s/it] 5%|▍ | 226/5000 [21:29<7:08:42, 5.39s/it] 5%|▍ | 227/5000 [21:34<7:05:45, 5.35s/it] 5%|▍ | 228/5000 [21:40<7:01:39, 5.30s/it] 5%|▍ | 229/5000 [21:45<6:59:54, 5.28s/it] 5%|▍ | 230/5000 [21:50<6:58:54, 5.27s/it] 5%|▍ | 231/5000 [21:56<7:04:08, 5.34s/it] 5%|▍ | 232/5000 [22:02<7:33:41, 5.71s/it] 5%|▍ | 233/5000 [22:07<7:23:45, 5.59s/it] 5%|▍ | 234/5000 [22:13<7:16:39, 5.50s/it] 5%|▍ | 235/5000 [22:18<7:13:13, 5.46s/it] 5%|▍ | 236/5000 [22:23<7:11:53, 5.44s/it] 5%|▍ | 237/5000 [22:29<7:07:18, 5.38s/it] 5%|▍ | 238/5000 [22:34<7:05:44, 5.36s/it] 5%|▍ | 239/5000 [22:39<7:06:02, 5.37s/it] 5%|▍ | 240/5000 [22:45<7:08:46, 5.40s/it] 5%|▍ | 241/5000 [22:50<7:07:17, 5.39s/it] 5%|▍ | 242/5000 [22:55<7:03:14, 5.34s/it] 5%|▍ | 243/5000 [23:01<7:03:33, 5.34s/it] 5%|▍ | 244/5000 [23:07<7:32:26, 5.71s/it] 5%|▍ | 245/5000 [23:13<7:23:45, 5.60s/it] 5%|▍ | 246/5000 [23:18<7:16:17, 5.51s/it] 5%|▍ | 247/5000 [23:23<7:07:55, 5.40s/it] 5%|▍ | 248/5000 [23:28<7:05:03, 5.37s/it] 5%|▍ | 249/5000 [23:34<7:02:12, 5.33s/it] 5%|▌ | 250/5000 [23:40<7:29:32, 5.68s/it] 5%|▌ | 250/5000 [23:40<7:29:32, 5.68s/it] 5%|▌ | 251/5000 [23:47<7:45:58, 5.89s/it] 5%|▌ | 252/5000 [23:52<7:30:59, 5.70s/it] 5%|▌ | 253/5000 [23:57<7:20:01, 5.56s/it] 5%|▌ | 254/5000 [24:02<7:13:13, 5.48s/it] 5%|▌ | 255/5000 [24:08<7:09:33, 5.43s/it] 5%|▌ | 256/5000 [24:13<7:03:36, 5.36s/it] 5%|▌ | 257/5000 [24:19<7:10:55, 5.45s/it] 5%|▌ | 258/5000 [24:24<7:07:10, 5.41s/it] 5%|▌ | 259/5000 [24:38<10:31:17, 7.99s/it] 5%|▌ | 260/5000 [24:43<9:23:09, 7.13s/it] 5%|▌ | 261/5000 [24:48<8:36:43, 6.54s/it] 5%|▌ | 262/5000 [24:53<8:02:40, 6.11s/it] 5%|▌ | 263/5000 [24:58<7:39:28, 5.82s/it] 5%|▌ | 264/5000 [25:03<7:22:23, 5.60s/it] 5%|▌ | 265/5000 [25:09<7:11:15, 5.46s/it] 5%|▌ | 266/5000 [25:14<7:02:58, 5.36s/it] 5%|▌ | 267/5000 [25:19<6:55:37, 5.27s/it] 5%|▌ | 268/5000 [25:24<6:50:16, 5.20s/it] 5%|▌ | 269/5000 [25:29<6:47:37, 5.17s/it] 5%|▌ | 270/5000 [25:34<6:46:07, 5.15s/it] 5%|▌ | 271/5000 [25:39<6:45:17, 5.14s/it] 5%|▌ | 272/5000 [25:44<6:44:25, 5.13s/it] 5%|▌ | 273/5000 [25:49<6:44:08, 5.13s/it] 5%|▌ | 274/5000 [25:55<6:45:07, 5.14s/it] 6%|▌ | 275/5000 [26:00<6:43:46, 5.13s/it] 6%|▌ | 275/5000 [26:00<6:43:46, 5.13s/it] 6%|▌ | 276/5000 [26:05<6:43:58, 5.13s/it] 6%|▌ | 277/5000 [26:10<6:43:25, 5.13s/it] 6%|▌ | 278/5000 [26:15<6:44:23, 5.14s/it] 6%|▌ | 279/5000 [26:20<6:44:40, 5.14s/it] 6%|▌ | 280/5000 [26:25<6:45:19, 5.15s/it] 6%|▌ | 281/5000 [26:31<6:44:49, 5.15s/it] 6%|▌ | 282/5000 [26:36<6:44:20, 5.14s/it] 6%|▌ | 283/5000 [26:43<7:29:09, 5.71s/it] 6%|▌ | 284/5000 [26:48<7:19:45, 5.59s/it] 6%|▌ | 285/5000 [26:57<8:43:34, 6.66s/it] 6%|▌ | 286/5000 [27:03<8:15:27, 6.31s/it] 6%|▌ | 287/5000 [27:09<8:07:40, 6.21s/it] 6%|▌ | 288/5000 [27:14<7:46:42, 5.94s/it] 6%|▌ | 289/5000 [27:19<7:32:10, 5.76s/it] 6%|▌ | 290/5000 [27:25<7:22:16, 5.63s/it] 6%|▌ | 291/5000 [27:30<7:14:19, 5.53s/it] 6%|▌ | 292/5000 [27:39<8:29:39, 6.50s/it] 6%|▌ | 293/5000 [27:44<8:01:23, 6.14s/it] 6%|▌ | 294/5000 [27:49<7:41:40, 5.89s/it] 6%|▌ | 295/5000 [27:55<7:26:41, 5.70s/it] 6%|▌ | 296/5000 [28:00<7:26:49, 5.70s/it] 6%|▌ | 297/5000 [28:05<7:16:11, 5.56s/it] 6%|▌ | 298/5000 [28:11<7:09:59, 5.49s/it] 6%|▌ | 299/5000 [28:16<7:04:19, 5.42s/it] 6%|▌ | 300/5000 [28:21<7:00:41, 5.37s/it] 6%|▌ | 300/5000 [28:21<7:00:41, 5.37s/it] 6%|▌ | 301/5000 [28:27<7:00:34, 5.37s/it] 6%|▌ | 302/5000 [28:32<6:56:14, 5.32s/it] 6%|▌ | 303/5000 [28:37<6:59:34, 5.36s/it] 6%|▌ | 304/5000 [28:45<7:44:24, 5.93s/it] 6%|▌ | 305/5000 [28:50<7:42:55, 5.92s/it] 6%|▌ | 306/5000 [28:56<7:29:34, 5.75s/it] 6%|▌ | 307/5000 [29:01<7:17:51, 5.60s/it] 6%|▌ | 308/5000 [29:06<7:11:24, 5.52s/it] 6%|▌ | 309/5000 [29:12<7:14:09, 5.55s/it] 6%|▌ | 310/5000 [29:18<7:29:40, 5.75s/it] 6%|▌ | 311/5000 [29:24<7:22:33, 5.66s/it] 6%|▌ | 312/5000 [29:29<7:15:37, 5.58s/it] 6%|▋ | 313/5000 [29:34<7:09:27, 5.50s/it] 6%|▋ | 314/5000 [29:47<9:45:29, 7.50s/it] 6%|▋ | 315/5000 [29:52<8:56:15, 6.87s/it] 6%|▋ | 316/5000 [29:57<8:21:18, 6.42s/it] 6%|▋ | 317/5000 [30:03<8:06:46, 6.24s/it] 6%|▋ | 318/5000 [30:08<7:43:52, 5.94s/it] 6%|▋ | 319/5000 [30:14<7:30:48, 5.78s/it] 6%|▋ | 320/5000 [30:23<8:44:21, 6.72s/it] 6%|▋ | 321/5000 [30:29<8:43:50, 6.72s/it] 6%|▋ | 322/5000 [30:35<8:16:20, 6.37s/it] 6%|▋ | 323/5000 [30:40<7:52:36, 6.06s/it] 6%|▋ | 324/5000 [30:46<7:36:20, 5.86s/it] 6%|▋ | 325/5000 [30:51<7:26:10, 5.73s/it] 6%|▋ | 325/5000 [30:51<7:26:10, 5.73s/it] 7%|▋ | 326/5000 [30:57<7:18:00, 5.62s/it] 7%|▋ | 327/5000 [31:02<7:09:36, 5.52s/it] 7%|▋ | 328/5000 [31:07<7:04:58, 5.46s/it] 7%|▋ | 329/5000 [31:12<7:02:28, 5.43s/it] 7%|▋ | 330/5000 [31:18<7:01:15, 5.41s/it] 7%|▋ | 331/5000 [31:23<6:58:25, 5.38s/it] 7%|▋ | 332/5000 [31:29<7:00:41, 5.41s/it] 7%|▋ | 333/5000 [31:34<6:58:10, 5.38s/it] 7%|▋ | 334/5000 [31:39<6:58:27, 5.38s/it] 7%|▋ | 335/5000 [31:45<6:56:42, 5.36s/it] 7%|▋ | 336/5000 [31:52<7:50:49, 6.06s/it] 7%|▋ | 337/5000 [31:58<7:33:14, 5.83s/it] 7%|▋ | 338/5000 [32:03<7:18:49, 5.65s/it] 7%|▋ | 339/5000 [32:08<7:10:28, 5.54s/it] 7%|▋ | 340/5000 [32:14<7:06:39, 5.49s/it] 7%|▋ | 341/5000 [32:19<7:00:56, 5.42s/it] 7%|▋ | 342/5000 [32:25<7:14:15, 5.59s/it] 7%|▋ | 343/5000 [32:30<7:08:24, 5.52s/it] 7%|▋ | 344/5000 [32:35<7:02:30, 5.44s/it] 7%|▋ | 345/5000 [32:42<7:41:00, 5.94s/it] 7%|▋ | 346/5000 [32:48<7:25:47, 5.75s/it] 7%|▋ | 347/5000 [32:53<7:16:30, 5.63s/it] 7%|▋ | 348/5000 [32:58<7:07:31, 5.51s/it] 7%|▋ | 349/5000 [33:06<8:00:30, 6.20s/it] 7%|▋ | 350/5000 [33:14<8:29:07, 6.57s/it] 7%|▋ | 350/5000 [33:14<8:29:07, 6.57s/it] 7%|▋ | 351/5000 [33:22<9:15:39, 7.17s/it] 7%|▋ | 352/5000 [33:28<8:36:41, 6.67s/it] 7%|▋ | 353/5000 [33:33<8:02:44, 6.23s/it] 7%|▋ | 354/5000 [33:38<7:41:28, 5.96s/it] 7%|▋ | 355/5000 [33:43<7:25:42, 5.76s/it] 7%|▋ | 356/5000 [33:49<7:15:21, 5.62s/it] 7%|▋ | 357/5000 [33:54<7:05:51, 5.50s/it] 7%|▋ | 358/5000 [33:59<7:00:15, 5.43s/it] 7%|▋ | 359/5000 [34:05<7:09:25, 5.55s/it] 7%|▋ | 360/5000 [34:10<7:02:53, 5.47s/it] 7%|▋ | 361/5000 [34:16<6:57:27, 5.40s/it] 7%|▋ | 362/5000 [34:21<7:06:29, 5.52s/it] 7%|▋ | 363/5000 [34:27<6:59:49, 5.43s/it] 7%|▋ | 364/5000 [34:32<6:54:52, 5.37s/it] 7%|▋ | 365/5000 [34:37<6:52:29, 5.34s/it] 7%|▋ | 366/5000 [34:42<6:48:01, 5.28s/it] 7%|▋ | 367/5000 [34:51<8:05:45, 6.29s/it] 7%|▋ | 368/5000 [34:57<7:54:36, 6.15s/it] 7%|▋ | 369/5000 [35:07<9:23:55, 7.31s/it] 7%|▋ | 370/5000 [35:12<8:36:09, 6.69s/it] 7%|▋ | 371/5000 [35:18<8:09:36, 6.35s/it] 7%|▋ | 372/5000 [35:23<7:41:57, 5.99s/it] 7%|▋ | 373/5000 [35:28<7:22:44, 5.74s/it] 7%|▋ | 374/5000 [35:34<7:29:26, 5.83s/it] 8%|▊ | 375/5000 [35:40<7:33:31, 5.88s/it] 8%|▊ | 375/5000 [35:40<7:33:31, 5.88s/it] 8%|▊ | 376/5000 [35:45<7:20:14, 5.71s/it] 8%|▊ | 377/5000 [35:50<7:08:34, 5.56s/it] 8%|▊ | 378/5000 [35:56<7:01:30, 5.47s/it] 8%|▊ | 379/5000 [36:01<6:56:31, 5.41s/it] 8%|▊ | 380/5000 [36:06<6:53:17, 5.37s/it] 8%|▊ | 381/5000 [36:11<6:48:25, 5.31s/it] 8%|▊ | 382/5000 [36:17<6:47:41, 5.30s/it] 8%|▊ | 383/5000 [36:23<7:09:44, 5.58s/it] 8%|▊ | 384/5000 [36:28<7:01:54, 5.48s/it] 8%|▊ | 385/5000 [36:33<6:55:35, 5.40s/it] 8%|▊ | 386/5000 [36:39<6:52:44, 5.37s/it] 8%|▊ | 387/5000 [36:44<6:49:00, 5.32s/it] 8%|▊ | 388/5000 [36:52<8:01:34, 6.27s/it] 8%|▊ | 389/5000 [37:01<9:04:26, 7.08s/it] 8%|▊ | 390/5000 [37:07<8:22:54, 6.55s/it] 8%|▊ | 391/5000 [37:12<7:55:55, 6.20s/it] 8%|▊ | 392/5000 [37:17<7:33:54, 5.91s/it] 8%|▊ | 393/5000 [37:23<7:17:59, 5.70s/it] 8%|▊ | 394/5000 [37:28<7:03:28, 5.52s/it] 8%|▊ | 395/5000 [37:33<6:56:33, 5.43s/it] 8%|▊ | 396/5000 [37:38<6:51:53, 5.37s/it] 8%|▊ | 397/5000 [37:43<6:49:22, 5.34s/it] 8%|▊ | 398/5000 [37:48<6:45:56, 5.29s/it] 8%|▊ | 399/5000 [37:56<7:28:17, 5.85s/it] 8%|▊ | 400/5000 [38:01<7:11:12, 5.62s/it] 8%|▊ | 400/5000 [38:01<7:11:12, 5.62s/it] 8%|▊ | 401/5000 [38:06<7:02:12, 5.51s/it] 8%|▊ | 402/5000 [38:11<6:57:54, 5.45s/it] 8%|▊ | 403/5000 [38:16<6:51:22, 5.37s/it] 8%|▊ | 404/5000 [38:22<6:47:10, 5.32s/it] 8%|▊ | 405/5000 [38:27<6:43:10, 5.26s/it] 8%|▊ | 406/5000 [38:32<6:42:27, 5.26s/it] 8%|▊ | 407/5000 [38:37<6:44:38, 5.29s/it] 8%|▊ | 408/5000 [38:46<8:06:56, 6.36s/it] 8%|▊ | 409/5000 [38:51<7:37:53, 5.98s/it] 8%|▊ | 410/5000 [38:57<7:21:09, 5.77s/it] 8%|▊ | 411/5000 [39:02<7:07:13, 5.59s/it] 8%|▊ | 412/5000 [39:07<6:59:22, 5.48s/it] 8%|▊ | 413/5000 [39:12<6:53:45, 5.41s/it] 8%|▊ | 414/5000 [39:18<6:50:55, 5.38s/it] 8%|▊ | 415/5000 [39:23<6:44:24, 5.29s/it] 8%|▊ | 416/5000 [39:28<6:53:09, 5.41s/it] 8%|▊ | 417/5000 [39:34<6:50:37, 5.38s/it] 8%|▊ | 418/5000 [39:39<6:46:25, 5.32s/it] 8%|▊ | 419/5000 [39:44<6:41:56, 5.26s/it] 8%|▊ | 420/5000 [39:49<6:40:50, 5.25s/it] 8%|▊ | 421/5000 [39:58<7:59:08, 6.28s/it] 8%|▊ | 422/5000 [40:03<7:40:19, 6.03s/it] 8%|▊ | 423/5000 [40:09<7:23:11, 5.81s/it] 8%|▊ | 424/5000 [40:20<9:36:18, 7.56s/it] 8%|▊ | 425/5000 [40:28<9:51:37, 7.76s/it] 8%|▊ | 425/5000 [40:28<9:51:37, 7.76s/it] 9%|▊ | 426/5000 [40:34<9:05:32, 7.16s/it] 9%|▊ | 427/5000 [40:39<8:20:04, 6.56s/it] 9%|▊ | 428/5000 [40:45<7:48:14, 6.14s/it] 9%|▊ | 429/5000 [40:50<7:27:23, 5.87s/it] 9%|▊ | 430/5000 [40:55<7:12:51, 5.68s/it] 9%|▊ | 431/5000 [41:00<7:04:27, 5.57s/it] 9%|▊ | 432/5000 [41:06<6:54:47, 5.45s/it] 9%|▊ | 433/5000 [41:11<6:50:30, 5.39s/it] 9%|▊ | 434/5000 [41:17<6:59:38, 5.51s/it] 9%|▊ | 435/5000 [41:22<6:51:32, 5.41s/it] 9%|▊ | 436/5000 [41:27<6:46:06, 5.34s/it] 9%|▊ | 437/5000 [41:32<6:50:37, 5.40s/it] 9%|▉ | 438/5000 [41:38<6:44:53, 5.33s/it] 9%|▉ | 439/5000 [41:43<6:45:41, 5.34s/it] 9%|▉ | 440/5000 [41:48<6:40:47, 5.27s/it] 9%|▉ | 441/5000 [41:53<6:39:28, 5.26s/it] 9%|▉ | 442/5000 [41:59<6:38:11, 5.24s/it] 9%|▉ | 443/5000 [42:04<6:42:08, 5.29s/it] 9%|▉ | 444/5000 [42:09<6:41:30, 5.29s/it] 9%|▉ | 445/5000 [42:14<6:36:14, 5.22s/it] 9%|▉ | 446/5000 [42:20<6:37:36, 5.24s/it] 9%|▉ | 447/5000 [42:28<7:59:42, 6.32s/it] 9%|▉ | 448/5000 [42:34<7:46:10, 6.14s/it] 9%|▉ | 449/5000 [42:39<7:23:56, 5.85s/it] 9%|▉ | 450/5000 [42:45<7:09:14, 5.66s/it] 9%|▉ | 450/5000 [42:45<7:09:14, 5.66s/it] 9%|▉ | 451/5000 [42:50<6:58:41, 5.52s/it] 9%|▉ | 452/5000 [42:55<6:52:25, 5.44s/it] 9%|▉ | 453/5000 [43:01<7:01:19, 5.56s/it] 9%|▉ | 454/5000 [43:06<6:53:04, 5.45s/it] 9%|▉ | 455/5000 [43:11<6:50:28, 5.42s/it] 9%|▉ | 456/5000 [43:18<7:28:30, 5.92s/it] 9%|▉ | 457/5000 [43:24<7:13:22, 5.72s/it] 9%|▉ | 458/5000 [43:29<7:01:54, 5.57s/it] 9%|▉ | 459/5000 [43:34<6:52:48, 5.45s/it] 9%|▉ | 460/5000 [43:39<6:46:51, 5.38s/it] 9%|▉ | 461/5000 [43:45<6:43:12, 5.33s/it] 9%|▉ | 462/5000 [43:50<6:39:16, 5.28s/it] 9%|▉ | 463/5000 [43:56<6:57:43, 5.52s/it] 9%|▉ | 464/5000 [44:01<6:50:26, 5.43s/it] 9%|▉ | 465/5000 [44:06<6:42:50, 5.33s/it] 9%|▉ | 466/5000 [44:12<6:45:55, 5.37s/it] 9%|▉ | 467/5000 [44:17<6:42:10, 5.32s/it] 9%|▉ | 468/5000 [44:22<6:40:10, 5.30s/it] 9%|▉ | 469/5000 [44:27<6:39:26, 5.29s/it] 9%|▉ | 470/5000 [44:35<7:42:00, 6.12s/it] 9%|▉ | 471/5000 [44:41<7:20:56, 5.84s/it] 9%|▉ | 472/5000 [44:46<7:17:54, 5.80s/it] 9%|▉ | 473/5000 [44:53<7:46:03, 6.18s/it] 9%|▉ | 474/5000 [44:59<7:25:22, 5.90s/it] 10%|▉ | 475/5000 [45:04<7:09:38, 5.70s/it] 10%|▉ | 475/5000 [45:04<7:09:38, 5.70s/it] 10%|▉ | 476/5000 [45:09<6:57:57, 5.54s/it] 10%|▉ | 477/5000 [45:14<6:50:26, 5.44s/it] 10%|▉ | 478/5000 [45:19<6:42:20, 5.34s/it] 10%|▉ | 479/5000 [45:30<8:36:28, 6.85s/it] 10%|▉ | 480/5000 [45:35<8:04:29, 6.43s/it] 10%|▉ | 481/5000 [45:42<8:08:56, 6.49s/it] 10%|▉ | 482/5000 [45:47<7:39:38, 6.10s/it] 10%|▉ | 483/5000 [45:52<7:19:03, 5.83s/it] 10%|▉ | 484/5000 [45:57<7:03:55, 5.63s/it] 10%|▉ | 485/5000 [46:03<6:54:18, 5.51s/it] 10%|▉ | 486/5000 [46:08<6:48:37, 5.43s/it] 10%|▉ | 487/5000 [46:13<6:47:21, 5.42s/it] 10%|▉ | 488/5000 [46:18<6:41:01, 5.33s/it] 10%|▉ | 489/5000 [46:23<6:36:43, 5.28s/it] 10%|▉ | 490/5000 [46:29<6:36:30, 5.28s/it] 10%|▉ | 491/5000 [46:34<6:35:34, 5.26s/it] 10%|▉ | 492/5000 [46:39<6:33:47, 5.24s/it] 10%|▉ | 493/5000 [46:44<6:33:54, 5.24s/it] 10%|▉ | 494/5000 [46:50<6:31:54, 5.22s/it] 10%|▉ | 495/5000 [46:55<6:31:43, 5.22s/it] 10%|▉ | 496/5000 [47:00<6:41:29, 5.35s/it] 10%|▉ | 497/5000 [47:09<7:54:23, 6.32s/it] 10%|▉ | 498/5000 [47:14<7:26:55, 5.96s/it] 10%|▉ | 499/5000 [47:19<7:11:15, 5.75s/it] 10%|█ | 500/5000 [47:24<6:56:29, 5.55s/it] 10%|█ | 500/5000 [47:24<6:56:29, 5.55s/it] 10%|█ | 501/5000 [47:30<6:46:48, 5.43s/it] 10%|█ | 502/5000 [47:35<6:43:27, 5.38s/it] 10%|█ | 503/5000 [47:40<6:36:30, 5.29s/it] 10%|█ | 504/5000 [47:45<6:34:43, 5.27s/it] 10%|█ | 505/5000 [47:50<6:33:21, 5.25s/it] 10%|█ | 506/5000 [47:56<6:32:13, 5.24s/it] 10%|█ | 507/5000 [48:01<6:30:37, 5.22s/it] 10%|█ | 508/5000 [48:06<6:32:14, 5.24s/it] 10%|█ | 509/5000 [48:11<6:31:20, 5.23s/it] 10%|█ | 510/5000 [48:17<6:33:53, 5.26s/it] 10%|█ | 511/5000 [48:22<6:32:00, 5.24s/it] 10%|█ | 512/5000 [48:27<6:34:59, 5.28s/it] 10%|█ | 513/5000 [48:32<6:35:04, 5.28s/it] 10%|█ | 514/5000 [48:38<6:35:45, 5.29s/it] 10%|█ | 515/5000 [48:44<6:51:54, 5.51s/it] 10%|█ | 516/5000 [48:50<7:03:47, 5.67s/it] 10%|█ | 517/5000 [48:55<6:55:08, 5.56s/it] 10%|█ | 518/5000 [49:00<6:46:36, 5.44s/it] 10%|█ | 519/5000 [49:06<6:42:03, 5.38s/it] 10%|█ | 520/5000 [49:11<6:40:43, 5.37s/it] 10%|█ | 521/5000 [49:16<6:35:13, 5.29s/it] 10%|█ | 522/5000 [49:21<6:34:12, 5.28s/it] 10%|█ | 523/5000 [49:27<6:33:34, 5.27s/it] 10%|█ | 524/5000 [49:32<6:34:10, 5.28s/it] 10%|█ | 525/5000 [49:37<6:31:50, 5.25s/it] 10%|█ | 525/5000 [49:37<6:31:50, 5.25s/it] 11%|█ | 526/5000 [49:42<6:30:54, 5.24s/it] 11%|█ | 527/5000 [49:48<6:33:26, 5.28s/it] 11%|█ | 528/5000 [49:53<6:33:16, 5.28s/it] 11%|█ | 529/5000 [49:58<6:33:29, 5.28s/it] 11%|█ | 530/5000 [50:03<6:29:28, 5.23s/it] 11%|█ | 531/5000 [50:09<6:30:36, 5.24s/it] 11%|█ | 532/5000 [50:14<6:26:30, 5.19s/it] 11%|█ | 533/5000 [50:19<6:25:40, 5.18s/it] 11%|█ | 534/5000 [50:29<8:28:22, 6.83s/it] 11%|█ | 535/5000 [50:35<7:53:54, 6.37s/it] 11%|█ | 536/5000 [50:42<8:06:07, 6.53s/it] 11%|█ | 537/5000 [50:47<7:36:52, 6.14s/it] 11%|█ | 538/5000 [50:52<7:15:14, 5.85s/it] 11%|█ | 539/5000 [50:57<6:58:07, 5.62s/it] 11%|█ | 540/5000 [51:06<8:09:49, 6.59s/it] 11%|█ | 541/5000 [51:13<8:29:07, 6.85s/it] 11%|█ | 542/5000 [51:19<7:51:00, 6.34s/it] 11%|█ | 543/5000 [51:24<7:25:22, 6.00s/it] 11%|█ | 544/5000 [51:29<7:07:59, 5.76s/it] 11%|█ | 545/5000 [51:34<6:56:47, 5.61s/it] 11%|█ | 546/5000 [51:39<6:46:39, 5.48s/it] 11%|█ | 547/5000 [51:45<6:39:36, 5.38s/it] 11%|█ | 548/5000 [51:50<6:35:49, 5.33s/it] 11%|█ | 549/5000 [51:55<6:31:52, 5.28s/it] 11%|█ | 550/5000 [52:00<6:30:05, 5.26s/it] 11%|█ | 550/5000 [52:00<6:30:05, 5.26s/it] 11%|█ | 551/5000 [52:07<7:03:30, 5.71s/it] 11%|█ | 552/5000 [52:12<6:51:18, 5.55s/it] 11%|█ | 553/5000 [52:17<6:42:16, 5.43s/it] 11%|█ | 554/5000 [52:24<7:11:22, 5.82s/it] 11%|█ | 555/5000 [52:30<7:17:16, 5.90s/it] 11%|█ | 556/5000 [52:35<7:01:36, 5.69s/it] 11%|█ | 557/5000 [52:40<6:50:40, 5.55s/it] 11%|█ | 558/5000 [52:46<6:42:50, 5.44s/it] 11%|█ | 559/5000 [52:51<6:39:30, 5.40s/it] 11%|█ | 560/5000 [53:00<7:56:25, 6.44s/it] 11%|█ | 561/5000 [53:05<7:26:41, 6.04s/it] 11%|█ | 562/5000 [53:10<7:07:48, 5.78s/it] 11%|█▏ | 563/5000 [53:15<6:55:21, 5.62s/it] 11%|█▏ | 564/5000 [53:21<6:47:23, 5.51s/it] 11%|█▏ | 565/5000 [53:26<6:49:26, 5.54s/it] 11%|█▏ | 566/5000 [53:31<6:43:13, 5.46s/it] 11%|█▏ | 567/5000 [53:37<6:36:45, 5.37s/it] 11%|█▏ | 568/5000 [53:42<6:40:30, 5.42s/it] 11%|█▏ | 569/5000 [53:47<6:34:27, 5.34s/it] 11%|█▏ | 570/5000 [53:53<6:35:39, 5.36s/it] 11%|█▏ | 571/5000 [53:58<6:33:20, 5.33s/it] 11%|█▏ | 572/5000 [54:04<6:48:44, 5.54s/it] 11%|█▏ | 573/5000 [54:09<6:41:14, 5.44s/it] 11%|█▏ | 574/5000 [54:15<6:38:05, 5.40s/it] 12%|█▏ | 575/5000 [54:20<6:32:27, 5.32s/it] 12%|█▏ | 575/5000 [54:20<6:32:27, 5.32s/it] 12%|█▏ | 576/5000 [54:25<6:31:14, 5.31s/it] 12%|█▏ | 577/5000 [54:30<6:29:50, 5.29s/it] 12%|█▏ | 578/5000 [54:35<6:26:21, 5.24s/it] 12%|█▏ | 579/5000 [54:40<6:21:47, 5.18s/it] 12%|█▏ | 580/5000 [54:46<6:22:24, 5.19s/it] 12%|█▏ | 581/5000 [54:52<6:50:09, 5.57s/it] 12%|█▏ | 582/5000 [54:57<6:39:42, 5.43s/it] 12%|█▏ | 583/5000 [55:04<7:04:31, 5.77s/it] 12%|█▏ | 584/5000 [55:09<6:56:40, 5.66s/it] 12%|█▏ | 585/5000 [55:14<6:48:06, 5.55s/it] 12%|█▏ | 586/5000 [55:20<6:39:05, 5.42s/it] 12%|█▏ | 587/5000 [55:25<6:33:52, 5.36s/it] 12%|█▏ | 588/5000 [55:30<6:30:26, 5.31s/it] 12%|█▏ | 589/5000 [55:41<8:28:44, 6.92s/it] 12%|█▏ | 590/5000 [55:46<7:50:39, 6.40s/it] 12%|█▏ | 591/5000 [55:51<7:22:24, 6.02s/it] 12%|█▏ | 592/5000 [55:56<7:03:54, 5.77s/it] 12%|█▏ | 593/5000 [56:01<6:51:44, 5.61s/it] 12%|█▏ | 594/5000 [56:07<6:44:28, 5.51s/it] 12%|█▏ | 595/5000 [56:12<6:36:24, 5.40s/it] 12%|█▏ | 596/5000 [56:17<6:34:58, 5.38s/it] 12%|█▏ | 597/5000 [56:22<6:31:37, 5.34s/it] 12%|█▏ | 598/5000 [56:28<6:29:04, 5.30s/it] 12%|█▏ | 599/5000 [56:33<6:27:00, 5.28s/it] 12%|█▏ | 600/5000 [56:38<6:25:37, 5.26s/it] 12%|█▏ | 600/5000 [56:38<6:25:37, 5.26s/it] 12%|█▏ | 601/5000 [56:45<6:58:43, 5.71s/it] 12%|█▏ | 602/5000 [56:50<6:47:09, 5.55s/it] 12%|█▏ | 603/5000 [56:55<6:38:28, 5.44s/it] 12%|█▏ | 604/5000 [57:00<6:30:35, 5.33s/it] 12%|█▏ | 605/5000 [57:05<6:26:49, 5.28s/it] 12%|█▏ | 606/5000 [57:12<6:47:06, 5.56s/it] 12%|█▏ | 607/5000 [57:17<6:38:06, 5.44s/it] 12%|█▏ | 608/5000 [57:22<6:31:34, 5.35s/it] 12%|█▏ | 609/5000 [57:27<6:28:50, 5.31s/it] 12%|█▏ | 610/5000 [57:32<6:28:46, 5.31s/it] 12%|█▏ | 611/5000 [57:38<6:25:12, 5.27s/it] 12%|█▏ | 612/5000 [57:43<6:24:10, 5.25s/it] 12%|█▏ | 613/5000 [57:48<6:23:14, 5.24s/it] 12%|█▏ | 614/5000 [57:53<6:23:03, 5.24s/it] 12%|█▏ | 615/5000 [57:59<6:25:13, 5.27s/it] 12%|█▏ | 616/5000 [58:04<6:23:47, 5.25s/it] 12%|█▏ | 617/5000 [58:09<6:23:39, 5.25s/it] 12%|█▏ | 618/5000 [58:14<6:19:54, 5.20s/it] 12%|█▏ | 619/5000 [58:20<6:44:12, 5.54s/it] 12%|█▏ | 620/5000 [58:26<6:53:44, 5.67s/it] 12%|█▏ | 621/5000 [58:32<6:42:41, 5.52s/it] 12%|█▏ | 622/5000 [58:37<6:36:34, 5.44s/it] 12%|█▏ | 623/5000 [58:43<6:54:42, 5.68s/it] 12%|█▏ | 624/5000 [58:48<6:42:39, 5.52s/it] 12%|█▎ | 625/5000 [58:53<6:36:09, 5.43s/it] 12%|█▎ | 625/5000 [58:53<6:36:09, 5.43s/it] 13%|█▎ | 626/5000 [58:59<6:29:52, 5.35s/it] 13%|█▎ | 627/5000 [59:04<6:24:46, 5.28s/it] 13%|█▎ | 628/5000 [59:09<6:25:00, 5.28s/it] 13%|█▎ | 629/5000 [59:14<6:21:56, 5.24s/it] 13%|█▎ | 630/5000 [59:20<6:25:08, 5.29s/it] 13%|█▎ | 631/5000 [59:25<6:23:34, 5.27s/it] 13%|█▎ | 632/5000 [59:30<6:21:54, 5.25s/it] 13%|█▎ | 633/5000 [59:35<6:18:37, 5.20s/it] 13%|█▎ | 634/5000 [59:40<6:17:35, 5.19s/it] 13%|█▎ | 635/5000 [59:45<6:18:06, 5.20s/it] 13%|█▎ | 636/5000 [59:51<6:19:25, 5.22s/it] 13%|█▎ | 637/5000 [59:56<6:18:22, 5.20s/it] 13%|█▎ | 638/5000 [1:00:02<6:30:05, 5.37s/it] 13%|█▎ | 639/5000 [1:00:07<6:24:17, 5.29s/it] 13%|█▎ | 640/5000 [1:00:12<6:22:15, 5.26s/it] 13%|█▎ | 641/5000 [1:00:17<6:20:48, 5.24s/it] 13%|█▎ | 642/5000 [1:00:22<6:17:29, 5.20s/it] 13%|█▎ | 643/5000 [1:00:33<8:10:54, 6.76s/it] 13%|█▎ | 644/5000 [1:00:38<7:37:26, 6.30s/it] 13%|█▎ | 645/5000 [1:00:44<7:29:55, 6.20s/it] 13%|█▎ | 646/5000 [1:00:49<7:08:27, 5.90s/it] 13%|█▎ | 647/5000 [1:00:55<7:06:35, 5.88s/it] 13%|█▎ | 648/5000 [1:01:00<6:51:30, 5.67s/it] 13%|█▎ | 649/5000 [1:01:06<7:02:18, 5.82s/it] 13%|█▎ | 650/5000 [1:01:11<6:47:28, 5.62s/it] 13%|█▎ | 650/5000 [1:01:11<6:47:28, 5.62s/it] 13%|█▎ | 651/5000 [1:01:17<6:51:32, 5.68s/it] 13%|█▎ | 652/5000 [1:01:22<6:38:58, 5.51s/it] 13%|█▎ | 653/5000 [1:01:27<6:32:05, 5.41s/it] 13%|█▎ | 654/5000 [1:01:33<6:26:09, 5.33s/it] 13%|█▎ | 655/5000 [1:01:38<6:24:31, 5.31s/it] 13%|█▎ | 656/5000 [1:01:44<6:52:22, 5.70s/it] 13%|█▎ | 657/5000 [1:01:50<6:40:28, 5.53s/it] 13%|█▎ | 658/5000 [1:01:55<6:34:01, 5.44s/it] 13%|█▎ | 659/5000 [1:02:00<6:27:57, 5.36s/it] 13%|█▎ | 660/5000 [1:02:05<6:24:57, 5.32s/it] 13%|█▎ | 661/5000 [1:02:10<6:21:14, 5.27s/it] 13%|█▎ | 662/5000 [1:02:16<6:19:54, 5.25s/it] 13%|█▎ | 663/5000 [1:02:22<6:41:14, 5.55s/it] 13%|█▎ | 664/5000 [1:02:27<6:31:58, 5.42s/it] 13%|█▎ | 665/5000 [1:02:32<6:26:48, 5.35s/it] 13%|█▎ | 666/5000 [1:02:37<6:24:41, 5.33s/it] 13%|█▎ | 667/5000 [1:02:44<6:47:20, 5.64s/it] 13%|█▎ | 668/5000 [1:02:49<6:37:35, 5.51s/it] 13%|█▎ | 669/5000 [1:02:54<6:32:41, 5.44s/it] 13%|█▎ | 670/5000 [1:03:00<6:31:00, 5.42s/it] 13%|█▎ | 671/5000 [1:03:05<6:27:39, 5.37s/it] 13%|█▎ | 672/5000 [1:03:10<6:25:29, 5.34s/it] 13%|█▎ | 673/5000 [1:03:16<6:39:46, 5.54s/it] 13%|█▎ | 674/5000 [1:03:21<6:33:12, 5.45s/it] 14%|█▎ | 675/5000 [1:03:28<6:52:17, 5.72s/it] 14%|█▎ | 675/5000 [1:03:28<6:52:17, 5.72s/it] 14%|█▎ | 676/5000 [1:03:33<6:41:34, 5.57s/it] 14%|█▎ | 677/5000 [1:03:38<6:34:33, 5.48s/it] 14%|█▎ | 678/5000 [1:03:44<6:28:54, 5.40s/it] 14%|█▎ | 679/5000 [1:03:49<6:23:07, 5.32s/it] 14%|█▎ | 680/5000 [1:03:54<6:20:00, 5.28s/it] 14%|█▎ | 681/5000 [1:03:59<6:17:53, 5.25s/it] 14%|█▎ | 682/5000 [1:04:04<6:16:56, 5.24s/it] 14%|█▎ | 683/5000 [1:04:10<6:20:04, 5.28s/it] 14%|█▎ | 684/5000 [1:04:15<6:19:38, 5.28s/it] 14%|█▎ | 685/5000 [1:04:20<6:15:55, 5.23s/it] 14%|█▎ | 686/5000 [1:04:25<6:15:17, 5.22s/it] 14%|█▎ | 687/5000 [1:04:31<6:31:54, 5.45s/it] 14%|█▍ | 688/5000 [1:04:36<6:25:05, 5.36s/it] 14%|█▍ | 689/5000 [1:04:42<6:21:21, 5.31s/it] 14%|█▍ | 690/5000 [1:04:47<6:18:08, 5.26s/it] 14%|█▍ | 691/5000 [1:04:52<6:16:19, 5.24s/it] 14%|█▍ | 692/5000 [1:04:57<6:12:58, 5.19s/it] 14%|█▍ | 693/5000 [1:05:02<6:12:40, 5.19s/it] 14%|█▍ | 694/5000 [1:05:07<6:13:49, 5.21s/it] 14%|█▍ | 695/5000 [1:05:16<7:24:17, 6.19s/it] 14%|█▍ | 696/5000 [1:05:21<7:01:39, 5.88s/it] 14%|█▍ | 697/5000 [1:05:26<6:44:33, 5.64s/it] 14%|█▍ | 698/5000 [1:05:36<8:19:50, 6.97s/it] 14%|█▍ | 699/5000 [1:05:41<7:41:13, 6.43s/it] 14%|█▍ | 700/5000 [1:05:47<7:14:40, 6.07s/it] 14%|█▍ | 700/5000 [1:05:47<7:14:40, 6.07s/it] 14%|█▍ | 701/5000 [1:05:52<6:56:20, 5.81s/it] 14%|█▍ | 702/5000 [1:05:57<6:42:27, 5.62s/it] 14%|█▍ | 703/5000 [1:06:02<6:34:48, 5.51s/it] 14%|█▍ | 704/5000 [1:06:07<6:26:52, 5.40s/it] 14%|█▍ | 705/5000 [1:06:13<6:23:07, 5.35s/it] 14%|█▍ | 706/5000 [1:06:18<6:20:21, 5.31s/it] 14%|█▍ | 707/5000 [1:06:24<6:31:48, 5.48s/it] 14%|█▍ | 708/5000 [1:06:29<6:25:18, 5.39s/it] 14%|█▍ | 709/5000 [1:06:34<6:19:42, 5.31s/it] 14%|█▍ | 710/5000 [1:06:39<6:16:05, 5.26s/it] 14%|█▍ | 711/5000 [1:06:44<6:15:47, 5.26s/it] 14%|█▍ | 712/5000 [1:06:50<6:17:06, 5.28s/it] 14%|█▍ | 713/5000 [1:06:55<6:26:02, 5.40s/it] 14%|█▍ | 714/5000 [1:07:01<6:21:14, 5.34s/it] 14%|█▍ | 715/5000 [1:07:06<6:19:45, 5.32s/it] 14%|█▍ | 716/5000 [1:07:11<6:21:05, 5.34s/it] 14%|█▍ | 717/5000 [1:07:16<6:18:18, 5.30s/it] 14%|█▍ | 718/5000 [1:07:23<6:48:23, 5.72s/it] 14%|█▍ | 719/5000 [1:07:28<6:37:29, 5.57s/it] 14%|█▍ | 720/5000 [1:07:34<6:47:40, 5.71s/it] 14%|█▍ | 721/5000 [1:07:40<6:51:35, 5.77s/it] 14%|█▍ | 722/5000 [1:07:46<6:39:56, 5.61s/it] 14%|█▍ | 723/5000 [1:07:51<6:31:41, 5.49s/it] 14%|█▍ | 724/5000 [1:07:56<6:25:53, 5.41s/it] 14%|█▍ | 725/5000 [1:08:01<6:22:18, 5.37s/it] 14%|█▍ | 725/5000 [1:08:01<6:22:18, 5.37s/it] 15%|█▍ | 726/5000 [1:08:07<6:19:33, 5.33s/it] 15%|█▍ | 727/5000 [1:08:12<6:16:56, 5.29s/it] 15%|█▍ | 728/5000 [1:08:17<6:16:43, 5.29s/it] 15%|█▍ | 729/5000 [1:08:22<6:15:55, 5.28s/it] 15%|█▍ | 730/5000 [1:08:27<6:13:46, 5.25s/it] 15%|█▍ | 731/5000 [1:08:33<6:13:20, 5.25s/it] 15%|█▍ | 732/5000 [1:08:38<6:16:21, 5.29s/it] 15%|█▍ | 733/5000 [1:08:43<6:16:01, 5.29s/it] 15%|█▍ | 734/5000 [1:08:49<6:13:49, 5.26s/it] 15%|█▍ | 735/5000 [1:08:54<6:13:46, 5.26s/it] 15%|█▍ | 736/5000 [1:09:00<6:36:00, 5.57s/it] 15%|█▍ | 737/5000 [1:09:07<6:55:46, 5.85s/it] 15%|█▍ | 738/5000 [1:09:12<6:42:19, 5.66s/it] 15%|█▍ | 739/5000 [1:09:17<6:30:30, 5.50s/it] 15%|█▍ | 740/5000 [1:09:22<6:25:57, 5.44s/it] 15%|█▍ | 741/5000 [1:09:31<7:26:25, 6.29s/it] 15%|█▍ | 742/5000 [1:09:36<7:07:19, 6.02s/it] 15%|█▍ | 743/5000 [1:09:41<6:49:38, 5.77s/it] 15%|█▍ | 744/5000 [1:09:46<6:37:26, 5.60s/it] 15%|█▍ | 745/5000 [1:09:52<6:29:30, 5.49s/it] 15%|█▍ | 746/5000 [1:09:57<6:24:09, 5.42s/it] 15%|█▍ | 747/5000 [1:10:02<6:21:17, 5.38s/it] 15%|█▍ | 748/5000 [1:10:07<6:17:31, 5.33s/it] 15%|█▍ | 749/5000 [1:10:13<6:14:39, 5.29s/it] 15%|█▌ | 750/5000 [1:10:18<6:14:01, 5.28s/it] 15%|█▌ | 750/5000 [1:10:18<6:14:01, 5.28s/it] 15%|█▌ | 751/5000 [1:10:23<6:11:28, 5.25s/it] 15%|█▌ | 752/5000 [1:10:29<6:29:53, 5.51s/it] 15%|█▌ | 753/5000 [1:10:42<9:14:12, 7.83s/it] 15%|█▌ | 754/5000 [1:10:48<8:18:50, 7.05s/it] 15%|█▌ | 755/5000 [1:10:53<7:39:43, 6.50s/it] 15%|█▌ | 756/5000 [1:10:58<7:11:09, 6.10s/it] 15%|█▌ | 757/5000 [1:11:03<6:53:44, 5.85s/it] 15%|█▌ | 758/5000 [1:11:09<6:47:47, 5.77s/it] 15%|█▌ | 759/5000 [1:11:14<6:36:08, 5.60s/it] 15%|█▌ | 760/5000 [1:11:23<7:47:55, 6.62s/it] 15%|█▌ | 761/5000 [1:11:28<7:16:41, 6.18s/it] 15%|█▌ | 762/5000 [1:11:33<6:57:17, 5.91s/it] 15%|█▌ | 763/5000 [1:11:39<6:43:22, 5.71s/it] 15%|█▌ | 764/5000 [1:11:46<7:15:36, 6.17s/it] 15%|█▌ | 765/5000 [1:11:51<6:57:05, 5.91s/it] 15%|█▌ | 766/5000 [1:11:56<6:44:18, 5.73s/it] 15%|█▌ | 767/5000 [1:12:02<6:33:49, 5.58s/it] 15%|█▌ | 768/5000 [1:12:08<6:41:56, 5.70s/it] 15%|█▌ | 769/5000 [1:12:13<6:29:49, 5.53s/it] 15%|█▌ | 770/5000 [1:12:18<6:23:13, 5.44s/it] 15%|█▌ | 771/5000 [1:12:23<6:17:31, 5.36s/it] 15%|█▌ | 772/5000 [1:12:29<6:16:10, 5.34s/it] 15%|█▌ | 773/5000 [1:12:34<6:13:37, 5.30s/it] 15%|█▌ | 774/5000 [1:12:39<6:10:46, 5.26s/it] 16%|█▌ | 775/5000 [1:12:44<6:07:44, 5.22s/it] 16%|█▌ | 775/5000 [1:12:44<6:07:44, 5.22s/it] 16%|█▌ | 776/5000 [1:12:51<6:34:53, 5.61s/it] 16%|█▌ | 777/5000 [1:12:56<6:26:18, 5.49s/it] 16%|█▌ | 778/5000 [1:13:01<6:20:47, 5.41s/it] 16%|█▌ | 779/5000 [1:13:06<6:16:29, 5.35s/it] 16%|█▌ | 780/5000 [1:13:12<6:15:57, 5.35s/it] 16%|█▌ | 781/5000 [1:13:17<6:13:15, 5.31s/it] 16%|█▌ | 782/5000 [1:13:23<6:35:38, 5.63s/it] 16%|█▌ | 783/5000 [1:13:28<6:27:35, 5.51s/it] 16%|█▌ | 784/5000 [1:13:34<6:19:32, 5.40s/it] 16%|█▌ | 785/5000 [1:13:39<6:16:43, 5.36s/it] 16%|█▌ | 786/5000 [1:13:48<7:27:22, 6.37s/it] 16%|█▌ | 787/5000 [1:13:54<7:28:20, 6.39s/it] 16%|█▌ | 788/5000 [1:13:59<7:04:15, 6.04s/it] 16%|█▌ | 789/5000 [1:14:06<7:26:00, 6.36s/it] 16%|█▌ | 790/5000 [1:14:11<7:02:15, 6.02s/it] 16%|█▌ | 791/5000 [1:14:17<6:45:49, 5.79s/it] 16%|█▌ | 792/5000 [1:14:25<7:31:23, 6.44s/it] 16%|█▌ | 793/5000 [1:14:30<7:04:56, 6.06s/it] 16%|█▌ | 794/5000 [1:14:37<7:32:39, 6.46s/it] 16%|█▌ | 795/5000 [1:14:42<7:06:31, 6.09s/it] 16%|█▌ | 796/5000 [1:14:48<6:47:06, 5.81s/it] 16%|█▌ | 797/5000 [1:14:53<6:36:15, 5.66s/it] 16%|█▌ | 798/5000 [1:14:58<6:27:36, 5.53s/it] 16%|█▌ | 799/5000 [1:15:03<6:21:13, 5.44s/it] 16%|█▌ | 800/5000 [1:15:12<7:34:33, 6.49s/it] 16%|█▌ | 800/5000 [1:15:12<7:34:33, 6.49s/it] 16%|█▌ | 801/5000 [1:15:18<7:06:21, 6.09s/it] 16%|█▌ | 802/5000 [1:15:23<6:45:05, 5.79s/it] 16%|█▌ | 803/5000 [1:15:28<6:33:05, 5.62s/it] 16%|█▌ | 804/5000 [1:15:33<6:25:20, 5.51s/it] 16%|█▌ | 805/5000 [1:15:38<6:19:23, 5.43s/it] 16%|█▌ | 806/5000 [1:15:44<6:14:28, 5.36s/it] 16%|█▌ | 807/5000 [1:15:49<6:10:00, 5.29s/it] 16%|█▌ | 808/5000 [1:16:00<8:26:08, 7.24s/it] 16%|█▌ | 809/5000 [1:16:06<7:41:17, 6.60s/it] 16%|█▌ | 810/5000 [1:16:12<7:46:41, 6.68s/it] 16%|█▌ | 811/5000 [1:16:18<7:15:27, 6.24s/it] 16%|█▌ | 812/5000 [1:16:23<6:53:20, 5.92s/it] 16%|█▋ | 813/5000 [1:16:28<6:38:51, 5.72s/it] 16%|█▋ | 814/5000 [1:16:33<6:27:37, 5.56s/it] 16%|█▋ | 815/5000 [1:16:38<6:19:58, 5.45s/it] 16%|█▋ | 816/5000 [1:16:45<6:41:49, 5.76s/it] 16%|█▋ | 817/5000 [1:16:50<6:30:13, 5.60s/it] 16%|█▋ | 818/5000 [1:16:55<6:20:48, 5.46s/it] 16%|█▋ | 819/5000 [1:17:00<6:14:07, 5.37s/it] 16%|█▋ | 820/5000 [1:17:06<6:16:16, 5.40s/it] 16%|█▋ | 821/5000 [1:17:11<6:12:08, 5.34s/it] 16%|█▋ | 822/5000 [1:17:16<6:08:12, 5.29s/it] 16%|█▋ | 823/5000 [1:17:23<6:36:49, 5.70s/it] 16%|█▋ | 824/5000 [1:17:28<6:25:28, 5.54s/it] 16%|█▋ | 825/5000 [1:17:33<6:17:25, 5.42s/it] 16%|█▋ | 825/5000 [1:17:33<6:17:25, 5.42s/it] 17%|█▋ | 826/5000 [1:17:39<6:13:34, 5.37s/it] 17%|█▋ | 827/5000 [1:17:44<6:10:47, 5.33s/it] 17%|█▋ | 828/5000 [1:17:49<6:09:47, 5.32s/it] 17%|█▋ | 829/5000 [1:17:54<6:05:25, 5.26s/it] 17%|█▋ | 830/5000 [1:18:00<6:08:22, 5.30s/it] 17%|█▋ | 831/5000 [1:18:05<6:06:07, 5.27s/it] 17%|█▋ | 832/5000 [1:18:10<6:03:57, 5.24s/it] 17%|█▋ | 833/5000 [1:18:17<6:42:51, 5.80s/it] 17%|█▋ | 834/5000 [1:18:22<6:32:15, 5.65s/it] 17%|█▋ | 835/5000 [1:18:28<6:24:25, 5.54s/it] 17%|█▋ | 836/5000 [1:18:33<6:17:09, 5.43s/it] 17%|█▋ | 837/5000 [1:18:39<6:23:10, 5.52s/it] 17%|█▋ | 838/5000 [1:18:44<6:16:51, 5.43s/it] 17%|█▋ | 839/5000 [1:18:49<6:12:36, 5.37s/it] 17%|█▋ | 840/5000 [1:18:54<6:12:12, 5.37s/it] 17%|█▋ | 841/5000 [1:19:02<7:03:25, 6.11s/it] 17%|█▋ | 842/5000 [1:19:08<6:53:55, 5.97s/it] 17%|█▋ | 843/5000 [1:19:14<7:04:39, 6.13s/it] 17%|█▋ | 844/5000 [1:19:20<6:45:42, 5.86s/it] 17%|█▋ | 845/5000 [1:19:26<7:05:36, 6.15s/it] 17%|█▋ | 846/5000 [1:19:32<6:44:41, 5.85s/it] 17%|█▋ | 847/5000 [1:19:37<6:29:37, 5.63s/it] 17%|█▋ | 848/5000 [1:19:42<6:22:04, 5.52s/it] 17%|█▋ | 849/5000 [1:19:47<6:16:13, 5.44s/it] 17%|█▋ | 850/5000 [1:19:52<6:10:49, 5.36s/it] 17%|█▋ | 850/5000 [1:19:52<6:10:49, 5.36s/it] 17%|█▋ | 851/5000 [1:19:57<6:06:11, 5.30s/it] 17%|█▋ | 852/5000 [1:20:03<6:02:48, 5.25s/it] 17%|█▋ | 853/5000 [1:20:08<6:14:44, 5.42s/it] 17%|█▋ | 854/5000 [1:20:14<6:07:34, 5.32s/it] 17%|█▋ | 855/5000 [1:20:19<6:05:47, 5.29s/it] 17%|█▋ | 856/5000 [1:20:24<6:04:27, 5.28s/it] 17%|█▋ | 857/5000 [1:20:29<6:02:48, 5.25s/it] 17%|█▋ | 858/5000 [1:20:34<6:01:08, 5.23s/it] 17%|█▋ | 859/5000 [1:20:41<6:31:55, 5.68s/it] 17%|█▋ | 860/5000 [1:20:46<6:22:51, 5.55s/it] 17%|█▋ | 861/5000 [1:20:52<6:16:38, 5.46s/it] 17%|█▋ | 862/5000 [1:20:57<6:13:01, 5.41s/it] 17%|█▋ | 863/5000 [1:21:08<8:06:32, 7.06s/it] 17%|█▋ | 864/5000 [1:21:13<7:29:07, 6.52s/it] 17%|█▋ | 865/5000 [1:21:20<7:34:45, 6.60s/it] 17%|█▋ | 866/5000 [1:21:25<7:06:26, 6.19s/it] 17%|█▋ | 867/5000 [1:21:32<7:27:57, 6.50s/it] 17%|█▋ | 868/5000 [1:21:37<7:00:35, 6.11s/it] 17%|█▋ | 869/5000 [1:21:43<6:41:57, 5.84s/it] 17%|█▋ | 870/5000 [1:21:48<6:25:28, 5.60s/it] 17%|█▋ | 871/5000 [1:21:53<6:15:53, 5.46s/it] 17%|█▋ | 872/5000 [1:22:01<7:13:22, 6.30s/it] 17%|█▋ | 873/5000 [1:22:06<6:46:49, 5.91s/it] 17%|█▋ | 874/5000 [1:22:11<6:29:56, 5.67s/it] 18%|█▊ | 875/5000 [1:22:16<6:19:32, 5.52s/it] 18%|█▊ | 875/5000 [1:22:16<6:19:32, 5.52s/it] 18%|█▊ | 876/5000 [1:22:22<6:11:29, 5.40s/it] 18%|█▊ | 877/5000 [1:22:27<6:06:11, 5.33s/it] 18%|█▊ | 878/5000 [1:22:34<6:52:11, 6.00s/it] 18%|█▊ | 879/5000 [1:22:42<7:30:43, 6.56s/it] 18%|█▊ | 880/5000 [1:22:47<7:01:05, 6.13s/it] 18%|█▊ | 881/5000 [1:22:53<6:42:55, 5.87s/it] 18%|█▊ | 882/5000 [1:22:58<6:29:31, 5.68s/it] 18%|█▊ | 883/5000 [1:23:03<6:20:13, 5.54s/it] 18%|█▊ | 884/5000 [1:23:08<6:15:17, 5.47s/it] 18%|█▊ | 885/5000 [1:23:13<6:10:01, 5.40s/it] 18%|█▊ | 886/5000 [1:23:19<6:05:12, 5.33s/it] 18%|█▊ | 887/5000 [1:23:24<6:02:48, 5.29s/it] 18%|█▊ | 888/5000 [1:23:30<6:19:57, 5.54s/it] 18%|█▊ | 889/5000 [1:23:35<6:12:05, 5.43s/it] 18%|█▊ | 890/5000 [1:23:40<6:03:59, 5.31s/it] 18%|█▊ | 891/5000 [1:23:45<6:00:37, 5.27s/it] 18%|█▊ | 892/5000 [1:23:51<5:59:10, 5.25s/it] 18%|█▊ | 893/5000 [1:23:56<5:58:16, 5.23s/it] 18%|█▊ | 894/5000 [1:24:01<5:55:37, 5.20s/it] 18%|█▊ | 895/5000 [1:24:06<5:57:01, 5.22s/it] 18%|█▊ | 896/5000 [1:24:11<5:57:23, 5.23s/it] 18%|█▊ | 897/5000 [1:24:17<5:58:22, 5.24s/it] 18%|█▊ | 898/5000 [1:24:22<6:09:55, 5.41s/it] 18%|█▊ | 899/5000 [1:24:28<6:05:18, 5.34s/it] 18%|█▊ | 900/5000 [1:24:33<6:06:14, 5.36s/it] 18%|█▊ | 900/5000 [1:24:33<6:06:14, 5.36s/it] 18%|█▊ | 901/5000 [1:24:38<6:03:02, 5.31s/it] 18%|█▊ | 902/5000 [1:24:43<5:59:57, 5.27s/it] 18%|█▊ | 903/5000 [1:24:49<5:57:28, 5.24s/it] 18%|█▊ | 904/5000 [1:24:54<5:58:00, 5.24s/it] 18%|█▊ | 905/5000 [1:24:59<6:01:18, 5.29s/it] 18%|█▊ | 906/5000 [1:25:05<6:00:50, 5.29s/it] 18%|█▊ | 907/5000 [1:25:11<6:26:58, 5.67s/it] 18%|█▊ | 908/5000 [1:25:16<6:16:31, 5.52s/it] 18%|█▊ | 909/5000 [1:25:24<7:02:55, 6.20s/it] 18%|█▊ | 910/5000 [1:25:30<6:47:05, 5.97s/it] 18%|█▊ | 911/5000 [1:25:35<6:30:55, 5.74s/it] 18%|█▊ | 912/5000 [1:25:40<6:24:48, 5.65s/it] 18%|█▊ | 913/5000 [1:25:45<6:17:10, 5.54s/it] 18%|█▊ | 914/5000 [1:25:51<6:11:02, 5.45s/it] 18%|█▊ | 915/5000 [1:25:56<6:07:03, 5.39s/it] 18%|█▊ | 916/5000 [1:26:01<6:04:26, 5.35s/it] 18%|█▊ | 917/5000 [1:26:07<6:05:18, 5.37s/it] 18%|█▊ | 918/5000 [1:26:17<7:46:52, 6.86s/it] 18%|█▊ | 919/5000 [1:26:22<7:12:12, 6.35s/it] 18%|█▊ | 920/5000 [1:26:27<6:48:32, 6.01s/it] 18%|█▊ | 921/5000 [1:26:32<6:30:59, 5.75s/it] 18%|█▊ | 922/5000 [1:26:38<6:18:48, 5.57s/it] 18%|█▊ | 923/5000 [1:26:43<6:08:52, 5.43s/it] 18%|█▊ | 924/5000 [1:26:48<6:07:47, 5.41s/it] 18%|█▊ | 925/5000 [1:26:53<6:03:38, 5.35s/it] 18%|█▊ | 925/5000 [1:26:53<6:03:38, 5.35s/it] 19%|█▊ | 926/5000 [1:26:58<5:59:42, 5.30s/it] 19%|█▊ | 927/5000 [1:27:04<5:58:03, 5.27s/it] 19%|█▊ | 928/5000 [1:27:09<5:54:06, 5.22s/it] 19%|█▊ | 929/5000 [1:27:14<5:51:44, 5.18s/it] 19%|█▊ | 930/5000 [1:27:19<5:50:57, 5.17s/it] 19%|█▊ | 931/5000 [1:27:24<5:48:58, 5.15s/it] 19%|█▊ | 932/5000 [1:27:29<5:49:06, 5.15s/it] 19%|█▊ | 933/5000 [1:27:34<5:49:33, 5.16s/it] 19%|█▊ | 934/5000 [1:27:40<5:49:15, 5.15s/it] 19%|█▊ | 935/5000 [1:27:45<6:02:01, 5.34s/it] 19%|█▊ | 936/5000 [1:27:51<5:58:31, 5.29s/it] 19%|█▊ | 937/5000 [1:27:56<5:53:57, 5.23s/it] 19%|█▉ | 938/5000 [1:28:01<5:53:44, 5.23s/it] 19%|█▉ | 939/5000 [1:28:06<5:51:18, 5.19s/it] 19%|█▉ | 940/5000 [1:28:11<5:50:48, 5.18s/it] 19%|█▉ | 941/5000 [1:28:20<6:57:28, 6.17s/it] 19%|█▉ | 942/5000 [1:28:25<6:37:59, 5.88s/it] 19%|█▉ | 943/5000 [1:28:30<6:30:25, 5.77s/it] 19%|█▉ | 944/5000 [1:28:35<6:17:59, 5.59s/it] 19%|█▉ | 945/5000 [1:28:40<6:05:53, 5.41s/it] 19%|█▉ | 946/5000 [1:28:46<6:11:51, 5.50s/it] 19%|█▉ | 947/5000 [1:28:51<6:06:10, 5.42s/it] 19%|█▉ | 948/5000 [1:28:57<6:01:27, 5.35s/it] 19%|█▉ | 949/5000 [1:29:02<5:57:15, 5.29s/it] 19%|█▉ | 950/5000 [1:29:07<5:54:45, 5.26s/it] 19%|█▉ | 950/5000 [1:29:07<5:54:45, 5.26s/it] 19%|█▉ | 951/5000 [1:29:12<5:51:31, 5.21s/it] 19%|█▉ | 952/5000 [1:29:17<5:50:19, 5.19s/it] 19%|█▉ | 953/5000 [1:29:22<5:52:17, 5.22s/it] 19%|█▉ | 954/5000 [1:29:28<5:50:25, 5.20s/it] 19%|█▉ | 955/5000 [1:29:33<5:48:43, 5.17s/it] 19%|█▉ | 956/5000 [1:29:38<5:49:04, 5.18s/it] 19%|█▉ | 957/5000 [1:29:43<5:48:05, 5.17s/it] 19%|█▉ | 958/5000 [1:29:48<5:48:57, 5.18s/it] 19%|█▉ | 959/5000 [1:29:55<6:15:11, 5.57s/it] 19%|█▉ | 960/5000 [1:30:00<6:08:13, 5.47s/it] 19%|█▉ | 961/5000 [1:30:05<6:04:11, 5.41s/it] 19%|█▉ | 962/5000 [1:30:11<6:18:18, 5.62s/it] 19%|█▉ | 963/5000 [1:30:20<7:16:02, 6.48s/it] 19%|█▉ | 964/5000 [1:30:25<6:48:06, 6.07s/it] 19%|█▉ | 965/5000 [1:30:30<6:31:59, 5.83s/it] 19%|█▉ | 966/5000 [1:30:38<7:03:05, 6.29s/it] 19%|█▉ | 967/5000 [1:30:45<7:22:36, 6.58s/it] 19%|█▉ | 968/5000 [1:30:50<6:55:26, 6.18s/it] 19%|█▉ | 969/5000 [1:30:55<6:35:53, 5.89s/it] 19%|█▉ | 970/5000 [1:31:01<6:23:08, 5.70s/it] 19%|█▉ | 971/5000 [1:31:06<6:13:47, 5.57s/it] 19%|█▉ | 972/5000 [1:31:11<6:03:54, 5.42s/it] 19%|█▉ | 973/5000 [1:31:21<7:39:23, 6.84s/it] 19%|█▉ | 974/5000 [1:31:26<7:06:57, 6.36s/it] 20%|█▉ | 975/5000 [1:31:32<6:44:48, 6.03s/it] 20%|█▉ | 975/5000 [1:31:32<6:44:48, 6.03s/it] 20%|█▉ | 976/5000 [1:31:37<6:29:21, 5.81s/it] 20%|█▉ | 977/5000 [1:31:42<6:14:47, 5.59s/it] 20%|█▉ | 978/5000 [1:31:47<6:08:04, 5.49s/it] 20%|█▉ | 979/5000 [1:31:53<6:08:46, 5.50s/it] 20%|█▉ | 980/5000 [1:31:58<6:03:39, 5.43s/it] 20%|█▉ | 981/5000 [1:32:03<5:57:52, 5.34s/it] 20%|█▉ | 982/5000 [1:32:09<6:02:55, 5.42s/it] 20%|█▉ | 983/5000 [1:32:14<6:01:21, 5.40s/it] 20%|█▉ | 984/5000 [1:32:19<5:57:42, 5.34s/it] 20%|█▉ | 985/5000 [1:32:25<5:54:57, 5.30s/it] 20%|█▉ | 986/5000 [1:32:30<5:52:02, 5.26s/it] 20%|█▉ | 987/5000 [1:32:35<5:50:41, 5.24s/it] 20%|█▉ | 988/5000 [1:32:40<5:50:48, 5.25s/it] 20%|█▉ | 989/5000 [1:32:45<5:50:06, 5.24s/it] 20%|█▉ | 990/5000 [1:32:51<5:57:41, 5.35s/it] 20%|█▉ | 991/5000 [1:32:56<5:56:14, 5.33s/it] 20%|█▉ | 992/5000 [1:33:03<6:20:09, 5.69s/it] 20%|█▉ | 993/5000 [1:33:08<6:12:32, 5.58s/it] 20%|█▉ | 994/5000 [1:33:16<6:53:23, 6.19s/it] 20%|█▉ | 995/5000 [1:33:21<6:32:15, 5.88s/it] 20%|█▉ | 996/5000 [1:33:26<6:19:41, 5.69s/it] 20%|█▉ | 997/5000 [1:33:31<6:12:28, 5.58s/it] 20%|█▉ | 998/5000 [1:33:36<6:01:09, 5.41s/it] 20%|█▉ | 999/5000 [1:33:42<5:56:53, 5.35s/it] 20%|██ | 1000/5000 [1:33:47<5:54:23, 5.32s/it] 20%|██ | 1000/5000 [1:33:47<5:54:23, 5.32s/it][INFO|trainer.py:2956] 2022-12-12 15:09:15,500 >> ***** Running Evaluation ***** [INFO|trainer.py:2960] 2022-12-12 15:09:15,500 >> Num examples: Unknown [INFO|trainer.py:2961] 2022-12-12 15:09:15,500 >> Batch size = 16 [INFO|trainer_utils.py:689] 2022-12-12 15:09:46,072 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 20%|██ | 1000/5000 [3:09:28<5:54:23, 5.32s/it][INFO|trainer.py:2701] 2022-12-12 16:44:56,805 >> Saving model checkpoint to ./checkpoint-1000 [INFO|configuration_utils.py:447] 2022-12-12 16:44:56,806 >> Configuration saved in ./checkpoint-1000/config.json [INFO|modeling_utils.py:1671] 2022-12-12 16:44:59,359 >> Model weights saved in ./checkpoint-1000/pytorch_model.bin [INFO|feature_extraction_utils.py:368] 2022-12-12 16:44:59,373 >> Feature extractor saved in ./checkpoint-1000/preprocessor_config.json [INFO|feature_extraction_utils.py:368] 2022-12-12 16:45:05,874 >> Feature extractor saved in ./preprocessor_config.json 20%|██ | 1001/5000 [3:10:06<1930:10:01, 1737.58s/it] 20%|██ | 1002/5000 [3:10:14<1353:19:47, 1218.61s/it] 20%|██ | 1003/5000 [3:10:21<949:19:16, 855.03s/it] 20%|██ | 1004/5000 [3:10:27<666:19:18, 600.29s/it] 20%|██ | 1005/5000 [3:10:33<468:15:44, 421.96s/it] 20%|██ | 1006/5000 [3:10:40<330:04:22, 297.51s/it] 20%|██ | 1007/5000 [3:10:46<233:13:45, 210.27s/it] 20%|██ | 1008/5000 [3:10:55<165:57:02, 149.65s/it] 20%|██ | 1009/5000 [3:11:02<118:26:21, 106.84s/it] 20%|██ | 1010/5000 [3:11:09<85:23:18, 77.04s/it] 20%|██ | 1011/5000 [3:11:17<62:17:30, 56.22s/it] 20%|██ | 1012/5000 [3:11:24<46:00:49, 41.54s/it] 20%|██ | 1013/5000 [3:11:30<34:02:04, 30.73s/it] 20%|██ | 1014/5000 [3:11:36<25:56:25, 23.43s/it] 20%|██ | 1015/5000 [3:11:44<20:46:40, 18.77s/it] 20%|██ | 1016/5000 [3:11:51<16:59:56, 15.36s/it] 20%|██ | 1017/5000 [3:11:57<13:41:44, 12.38s/it] 20%|██ | 1018/5000 [3:12:05<12:12:25, 11.04s/it] 20%|██ | 1019/5000 [3:12:11<10:48:58, 9.78s/it] 20%|██ | 1020/5000 [3:12:17<9:25:45, 8.53s/it] 20%|██ | 1021/5000 [3:12:24<8:58:18, 8.12s/it] 20%|██ | 1022/5000 [3:12:30<8:04:21, 7.31s/it] 20%|██ | 1023/5000 [3:12:35<7:22:04, 6.67s/it] 20%|██ | 1024/5000 [3:12:42<7:43:04, 6.99s/it] 20%|██ | 1025/5000 [3:12:48<7:15:10, 6.57s/it] 20%|██ | 1025/5000 [3:12:48<7:15:10, 6.57s/it] 21%|██ | 1026/5000 [3:12:53<6:47:57, 6.16s/it] 21%|██ | 1027/5000 [3:12:59<6:29:55, 5.89s/it] 21%|██ | 1028/5000 [3:13:10<8:13:11, 7.45s/it] 21%|██ | 1029/5000 [3:13:15<7:28:20, 6.77s/it] 21%|██ | 1030/5000 [3:13:20<6:57:29, 6.31s/it] 21%|██ | 1031/5000 [3:13:25<6:35:57, 5.99s/it] 21%|██ | 1032/5000 [3:13:31<6:20:52, 5.76s/it] 21%|██ | 1033/5000 [3:13:36<6:11:21, 5.62s/it] 21%|██ | 1034/5000 [3:13:41<6:01:12, 5.46s/it] 21%|██ | 1035/5000 [3:13:46<5:55:56, 5.39s/it] 21%|██ | 1036/5000 [3:13:51<5:51:42, 5.32s/it] 21%|██ | 1037/5000 [3:13:56<5:48:15, 5.27s/it] 21%|██ | 1038/5000 [3:14:04<6:24:13, 5.82s/it] 21%|██ | 1039/5000 [3:14:09<6:12:20, 5.64s/it] 21%|██ | 1040/5000 [3:14:14<6:04:08, 5.52s/it] 21%|██ | 1041/5000 [3:14:19<5:58:17, 5.43s/it] 21%|██ | 1042/5000 [3:14:24<5:53:36, 5.36s/it] 21%|██ | 1043/5000 [3:14:30<5:49:55, 5.31s/it] 21%|██ | 1044/5000 [3:14:35<5:48:31, 5.29s/it] 21%|██ | 1045/5000 [3:14:40<5:50:04, 5.31s/it] 21%|██ | 1046/5000 [3:14:45<5:47:09, 5.27s/it] 21%|██ | 1047/5000 [3:14:53<6:24:55, 5.84s/it] 21%|██ | 1048/5000 [3:14:58<6:14:37, 5.69s/it] 21%|██ | 1049/5000 [3:15:03<6:03:28, 5.52s/it] 21%|██ | 1050/5000 [3:15:08<5:58:20, 5.44s/it] 21%|██ | 1050/5000 [3:15:08<5:58:20, 5.44s/it] 21%|██ | 1051/5000 [3:15:14<5:54:35, 5.39s/it] 21%|██ | 1052/5000 [3:15:19<5:52:03, 5.35s/it] 21%|██ | 1053/5000 [3:15:24<5:47:12, 5.28s/it] 21%|██ | 1054/5000 [3:15:29<5:45:43, 5.26s/it] 21%|██ | 1055/5000 [3:15:34<5:43:32, 5.22s/it] 21%|██ | 1056/5000 [3:15:39<5:43:42, 5.23s/it] 21%|██ | 1057/5000 [3:15:45<5:42:45, 5.22s/it] 21%|██ | 1058/5000 [3:15:52<6:20:58, 5.80s/it] 21%|██ | 1059/5000 [3:15:57<6:10:39, 5.64s/it] 21%|██ | 1060/5000 [3:16:02<6:00:36, 5.49s/it] 21%|██ | 1061/5000 [3:16:08<5:55:49, 5.42s/it] 21%|██ | 1062/5000 [3:16:13<5:53:13, 5.38s/it] 21%|██▏ | 1063/5000 [3:16:18<5:48:22, 5.31s/it] 21%|██▏ | 1064/5000 [3:16:24<6:04:53, 5.56s/it] 21%|██▏ | 1065/5000 [3:16:32<6:57:21, 6.36s/it] 21%|██▏ | 1066/5000 [3:16:40<7:21:57, 6.74s/it] 21%|██▏ | 1067/5000 [3:16:48<7:47:44, 7.14s/it] 21%|██▏ | 1068/5000 [3:16:53<7:09:43, 6.56s/it] 21%|██▏ | 1069/5000 [3:16:58<6:44:44, 6.18s/it] 21%|██▏ | 1070/5000 [3:17:04<6:26:00, 5.89s/it] 21%|██▏ | 1071/5000 [3:17:09<6:13:23, 5.70s/it] 21%|██▏ | 1072/5000 [3:17:14<6:05:57, 5.59s/it] 21%|██▏ | 1073/5000 [3:17:19<5:56:35, 5.45s/it] 21%|██▏ | 1074/5000 [3:17:25<5:52:21, 5.39s/it] 22%|██▏ | 1075/5000 [3:17:30<5:49:25, 5.34s/it] 22%|██▏ | 1075/5000 [3:17:30<5:49:25, 5.34s/it] 22%|██▏ | 1076/5000 [3:17:36<5:56:29, 5.45s/it] 22%|██▏ | 1077/5000 [3:17:41<5:56:22, 5.45s/it] 22%|██▏ | 1078/5000 [3:17:46<5:52:01, 5.39s/it] 22%|██▏ | 1079/5000 [3:17:52<5:48:55, 5.34s/it] 22%|██▏ | 1080/5000 [3:17:57<5:47:02, 5.31s/it] 22%|██▏ | 1081/5000 [3:18:02<5:45:12, 5.29s/it] 22%|██▏ | 1082/5000 [3:18:08<6:04:55, 5.59s/it] 22%|██▏ | 1083/5000 [3:18:23<9:12:07, 8.46s/it] 22%|██▏ | 1084/5000 [3:18:31<8:56:43, 8.22s/it] 22%|██▏ | 1085/5000 [3:18:36<7:57:19, 7.32s/it] 22%|██▏ | 1086/5000 [3:18:42<7:17:26, 6.71s/it] 22%|██▏ | 1087/5000 [3:18:47<6:49:44, 6.28s/it] 22%|██▏ | 1088/5000 [3:18:52<6:30:02, 5.98s/it] 22%|██▏ | 1089/5000 [3:18:57<6:14:38, 5.75s/it] 22%|██▏ | 1090/5000 [3:19:03<6:04:48, 5.60s/it] 22%|██▏ | 1091/5000 [3:19:08<6:00:46, 5.54s/it] 22%|██▏ | 1092/5000 [3:19:14<5:59:37, 5.52s/it] 22%|██▏ | 1093/5000 [3:19:19<5:55:49, 5.46s/it] 22%|██▏ | 1094/5000 [3:19:24<5:51:16, 5.40s/it] 22%|██▏ | 1095/5000 [3:19:29<5:47:02, 5.33s/it] 22%|██▏ | 1096/5000 [3:19:35<5:48:05, 5.35s/it] 22%|██▏ | 1097/5000 [3:19:40<5:52:46, 5.42s/it] 22%|██▏ | 1098/5000 [3:19:47<6:14:07, 5.75s/it] 22%|██▏ | 1099/5000 [3:19:52<6:05:59, 5.63s/it] 22%|██▏ | 1100/5000 [3:19:58<6:15:17, 5.77s/it] 22%|██▏ | 1100/5000 [3:19:58<6:15:17, 5.77s/it] 22%|██▏ | 1101/5000 [3:20:03<6:05:14, 5.62s/it] 22%|██▏ | 1102/5000 [3:20:09<6:00:08, 5.54s/it] 22%|██▏ | 1103/5000 [3:20:14<5:55:13, 5.47s/it] 22%|██▏ | 1104/5000 [3:20:20<6:10:45, 5.71s/it] 22%|██▏ | 1105/5000 [3:20:26<5:59:57, 5.54s/it] 22%|██▏ | 1106/5000 [3:20:31<5:54:09, 5.46s/it] 22%|██▏ | 1107/5000 [3:20:36<5:50:53, 5.41s/it] 22%|██▏ | 1108/5000 [3:20:42<6:01:23, 5.57s/it] 22%|██▏ | 1109/5000 [3:20:47<5:55:53, 5.49s/it] 22%|██▏ | 1110/5000 [3:20:53<5:51:45, 5.43s/it] 22%|██▏ | 1111/5000 [3:20:58<5:47:48, 5.37s/it] 22%|██▏ | 1112/5000 [3:21:03<5:43:17, 5.30s/it] 22%|██▏ | 1113/5000 [3:21:08<5:42:55, 5.29s/it] 22%|██▏ | 1114/5000 [3:21:14<5:45:38, 5.34s/it] 22%|██▏ | 1115/5000 [3:21:20<6:02:09, 5.59s/it] 22%|██▏ | 1116/5000 [3:21:25<5:53:38, 5.46s/it] 22%|██▏ | 1117/5000 [3:21:30<5:49:38, 5.40s/it] 22%|██▏ | 1118/5000 [3:21:36<5:53:11, 5.46s/it] 22%|██▏ | 1119/5000 [3:21:41<5:49:13, 5.40s/it] 22%|██▏ | 1120/5000 [3:21:46<5:46:38, 5.36s/it] 22%|██▏ | 1121/5000 [3:21:52<5:45:17, 5.34s/it] 22%|██▏ | 1122/5000 [3:21:57<5:42:23, 5.30s/it] 22%|██▏ | 1123/5000 [3:22:02<5:41:11, 5.28s/it] 22%|██▏ | 1124/5000 [3:22:08<6:00:50, 5.59s/it] 22%|██▎ | 1125/5000 [3:22:14<5:51:49, 5.45s/it] 22%|██▎ | 1125/5000 [3:22:14<5:51:49, 5.45s/it] 23%|██▎ | 1126/5000 [3:22:19<5:52:03, 5.45s/it] 23%|██▎ | 1127/5000 [3:22:24<5:48:15, 5.40s/it] 23%|██▎ | 1128/5000 [3:22:30<5:47:17, 5.38s/it] 23%|██▎ | 1129/5000 [3:22:35<5:45:05, 5.35s/it] 23%|██▎ | 1130/5000 [3:22:40<5:43:23, 5.32s/it] 23%|██▎ | 1131/5000 [3:22:47<6:03:30, 5.64s/it] 23%|██▎ | 1132/5000 [3:22:52<5:55:26, 5.51s/it] 23%|██▎ | 1133/5000 [3:22:57<5:50:25, 5.44s/it] 23%|██▎ | 1134/5000 [3:23:02<5:46:49, 5.38s/it] 23%|██▎ | 1135/5000 [3:23:08<5:54:34, 5.50s/it] 23%|██▎ | 1136/5000 [3:23:13<5:47:00, 5.39s/it] 23%|██▎ | 1137/5000 [3:23:31<9:53:15, 9.21s/it] 23%|██▎ | 1138/5000 [3:23:37<8:40:51, 8.09s/it] 23%|██▎ | 1139/5000 [3:23:42<7:42:10, 7.18s/it] 23%|██▎ | 1140/5000 [3:23:47<7:00:58, 6.54s/it] 23%|██▎ | 1141/5000 [3:23:52<6:32:37, 6.10s/it] 23%|██▎ | 1142/5000 [3:23:57<6:12:44, 5.80s/it] 23%|██▎ | 1143/5000 [3:24:02<5:58:57, 5.58s/it] 23%|██▎ | 1144/5000 [3:24:07<5:49:07, 5.43s/it] 23%|██▎ | 1145/5000 [3:24:12<5:42:31, 5.33s/it] 23%|██▎ | 1146/5000 [3:24:17<5:38:02, 5.26s/it] 23%|██▎ | 1147/5000 [3:24:23<5:34:31, 5.21s/it] 23%|██▎ | 1148/5000 [3:24:28<5:31:40, 5.17s/it] 23%|██▎ | 1149/5000 [3:24:33<5:30:45, 5.15s/it] 23%|██▎ | 1150/5000 [3:24:38<5:29:57, 5.14s/it] 23%|██▎ | 1150/5000 [3:24:38<5:29:57, 5.14s/it] 23%|██▎ | 1151/5000 [3:24:43<5:29:31, 5.14s/it] 23%|██▎ | 1152/5000 [3:24:48<5:29:08, 5.13s/it] 23%|██▎ | 1153/5000 [3:24:53<5:28:20, 5.12s/it] 23%|██▎ | 1154/5000 [3:24:58<5:28:10, 5.12s/it] 23%|██▎ | 1155/5000 [3:25:03<5:27:57, 5.12s/it] 23%|██▎ | 1156/5000 [3:25:09<5:27:20, 5.11s/it] 23%|██▎ | 1157/5000 [3:25:14<5:27:13, 5.11s/it] 23%|██▎ | 1158/5000 [3:25:19<5:26:57, 5.11s/it] 23%|██▎ | 1159/5000 [3:25:24<5:26:48, 5.11s/it] 23%|██▎ | 1160/5000 [3:25:29<5:27:25, 5.12s/it] 23%|██▎ | 1161/5000 [3:25:34<5:27:41, 5.12s/it] 23%|██▎ | 1162/5000 [3:25:39<5:27:32, 5.12s/it] 23%|██▎ | 1163/5000 [3:25:44<5:27:31, 5.12s/it] 23%|██▎ | 1164/5000 [3:25:49<5:27:06, 5.12s/it] 23%|██▎ | 1165/5000 [3:25:55<5:26:47, 5.11s/it] 23%|██▎ | 1166/5000 [3:26:00<5:27:02, 5.12s/it] 23%|██▎ | 1167/5000 [3:26:05<5:27:44, 5.13s/it] 23%|██▎ | 1168/5000 [3:26:10<5:27:26, 5.13s/it] 23%|██▎ | 1169/5000 [3:26:15<5:27:38, 5.13s/it] 23%|██▎ | 1170/5000 [3:26:20<5:27:09, 5.13s/it] 23%|██▎ | 1171/5000 [3:26:25<5:27:09, 5.13s/it] 23%|██▎ | 1172/5000 [3:26:31<5:27:03, 5.13s/it] 23%|██▎ | 1173/5000 [3:26:36<5:26:50, 5.12s/it] 23%|██▎ | 1174/5000 [3:26:41<5:27:04, 5.13s/it] 24%|██▎ | 1175/5000 [3:26:46<5:26:50, 5.13s/it] 24%|██▎ | 1175/5000 [3:26:46<5:26:50, 5.13s/it] 24%|██▎ | 1176/5000 [3:26:51<5:27:00, 5.13s/it] 24%|██▎ | 1177/5000 [3:26:56<5:26:36, 5.13s/it] 24%|██▎ | 1178/5000 [3:27:01<5:26:19, 5.12s/it] 24%|██▎ | 1179/5000 [3:27:06<5:25:39, 5.11s/it] 24%|██▎ | 1180/5000 [3:27:11<5:25:50, 5.12s/it] 24%|██▎ | 1181/5000 [3:27:17<5:25:37, 5.12s/it] 24%|██▎ | 1182/5000 [3:27:22<5:26:12, 5.13s/it] 24%|██▎ | 1183/5000 [3:27:27<5:25:44, 5.12s/it] 24%|██▎ | 1184/5000 [3:27:32<5:25:31, 5.12s/it] 24%|██▎ | 1185/5000 [3:27:37<5:25:38, 5.12s/it] 24%|██▎ | 1186/5000 [3:27:42<5:25:49, 5.13s/it] 24%|██▎ | 1187/5000 [3:27:47<5:25:59, 5.13s/it] 24%|██▍ | 1188/5000 [3:27:53<5:26:12, 5.13s/it] 24%|██▍ | 1189/5000 [3:27:58<5:25:50, 5.13s/it] 24%|██▍ | 1190/5000 [3:28:03<5:25:29, 5.13s/it] 24%|██▍ | 1191/5000 [3:28:08<5:25:22, 5.13s/it] 24%|██▍ | 1192/5000 [3:28:13<5:20:24, 5.05s/it] 24%|██▍ | 1193/5000 [3:28:16<4:52:28, 4.61s/it] 24%|██▍ | 1194/5000 [3:28:20<4:32:43, 4.30s/it] 24%|██▍ | 1195/5000 [3:28:23<4:18:46, 4.08s/it] 24%|██▍ | 1196/5000 [3:28:27<4:08:51, 3.93s/it] 24%|██▍ | 1197/5000 [3:28:31<4:02:01, 3.82s/it] 24%|██▍ | 1198/5000 [3:28:34<3:57:07, 3.74s/it] 24%|██▍ | 1199/5000 [3:28:38<3:53:41, 3.69s/it] 24%|██▍ | 1200/5000 [3:28:41<3:51:17, 3.65s/it] 24%|██▍ | 1200/5000 [3:28:41<3:51:17, 3.65s/it] 24%|██▍ | 1201/5000 [3:28:45<3:49:48, 3.63s/it] 24%|██▍ | 1202/5000 [3:28:48<3:48:38, 3.61s/it] 24%|██▍ | 1203/5000 [3:28:52<3:47:40, 3.60s/it] 24%|██▍ | 1204/5000 [3:28:56<3:47:03, 3.59s/it] 24%|██▍ | 1205/5000 [3:28:59<3:46:31, 3.58s/it] 24%|██▍ | 1206/5000 [3:29:03<3:46:48, 3.59s/it] 24%|██▍ | 1207/5000 [3:29:06<3:46:15, 3.58s/it] 24%|██▍ | 1208/5000 [3:29:08<3:09:58, 3.01s/it] 24%|██▍ | 1209/5000 [3:29:42<13:05:47, 12.44s/it] 24%|██▍ | 1210/5000 [3:29:48<10:46:27, 10.23s/it] 24%|██▍ | 1211/5000 [3:29:53<9:09:02, 8.69s/it] 24%|██▍ | 1212/5000 [3:29:58<8:00:52, 7.62s/it] 24%|██▍ | 1213/5000 [3:30:03<7:14:02, 6.88s/it] 24%|██▍ | 1214/5000 [3:30:08<6:40:41, 6.35s/it] 24%|██▍ | 1215/5000 [3:30:13<6:17:05, 5.98s/it] 24%|██▍ | 1216/5000 [3:30:18<6:00:31, 5.72s/it] 24%|██▍ | 1217/5000 [3:30:23<5:49:07, 5.54s/it] 24%|██▍ | 1218/5000 [3:30:28<5:41:01, 5.41s/it] 24%|██▍ | 1219/5000 [3:30:34<5:35:41, 5.33s/it] 24%|██▍ | 1220/5000 [3:30:39<5:31:49, 5.27s/it] 24%|██▍ | 1221/5000 [3:30:44<5:28:48, 5.22s/it] 24%|██▍ | 1222/5000 [3:30:49<5:26:40, 5.19s/it] 24%|██▍ | 1223/5000 [3:30:54<5:25:11, 5.17s/it] 24%|██▍ | 1224/5000 [3:30:59<5:24:31, 5.16s/it] 24%|██▍ | 1225/5000 [3:31:04<5:24:07, 5.15s/it] 24%|██▍ | 1225/5000 [3:31:04<5:24:07, 5.15s/it] 25%|██▍ | 1226/5000 [3:31:09<5:23:34, 5.14s/it] 25%|██▍ | 1227/5000 [3:31:15<5:23:22, 5.14s/it] 25%|██▍ | 1228/5000 [3:31:20<5:22:40, 5.13s/it] 25%|██▍ | 1229/5000 [3:31:25<5:22:40, 5.13s/it] 25%|██▍ | 1230/5000 [3:31:30<5:22:17, 5.13s/it] 25%|██▍ | 1231/5000 [3:31:35<5:22:44, 5.14s/it] 25%|██▍ | 1232/5000 [3:31:40<5:22:04, 5.13s/it] 25%|██▍ | 1233/5000 [3:31:45<5:21:42, 5.12s/it] 25%|██▍ | 1234/5000 [3:31:50<5:21:46, 5.13s/it] 25%|██▍ | 1235/5000 [3:31:56<5:21:58, 5.13s/it] 25%|██▍ | 1236/5000 [3:32:01<5:21:49, 5.13s/it] 25%|██▍ | 1237/5000 [3:32:06<5:21:15, 5.12s/it] 25%|██▍ | 1238/5000 [3:32:11<5:20:47, 5.12s/it] 25%|██▍ | 1239/5000 [3:32:16<5:20:40, 5.12s/it] 25%|██▍ | 1240/5000 [3:32:21<5:20:32, 5.12s/it] 25%|██▍ | 1241/5000 [3:32:26<5:21:02, 5.12s/it] 25%|██▍ | 1242/5000 [3:32:31<5:20:46, 5.12s/it] 25%|██▍ | 1243/5000 [3:32:37<5:20:44, 5.12s/it] 25%|██▍ | 1244/5000 [3:32:42<5:20:24, 5.12s/it] 25%|██▍ | 1245/5000 [3:32:47<5:19:59, 5.11s/it] 25%|██▍ | 1246/5000 [3:32:52<5:19:55, 5.11s/it] 25%|██▍ | 1247/5000 [3:32:57<5:19:47, 5.11s/it] 25%|██▍ | 1248/5000 [3:33:06<6:29:29, 6.23s/it] 25%|██▍ | 1249/5000 [3:33:11<6:14:03, 5.98s/it] 25%|██▌ | 1250/5000 [3:33:17<6:03:01, 5.81s/it] 25%|██▌ | 1250/5000 [3:33:17<6:03:01, 5.81s/it] 25%|██▌ | 1251/5000 [3:33:22<5:54:34, 5.67s/it] 25%|██▌ | 1252/5000 [3:33:27<5:48:28, 5.58s/it] 25%|██▌ | 1253/5000 [3:33:33<5:46:06, 5.54s/it] 25%|██▌ | 1254/5000 [3:33:38<5:43:34, 5.50s/it] 25%|██▌ | 1255/5000 [3:33:44<5:42:16, 5.48s/it] 25%|██▌ | 1256/5000 [3:33:49<5:43:59, 5.51s/it] 25%|██▌ | 1257/5000 [3:33:55<5:42:13, 5.49s/it] 25%|██▌ | 1258/5000 [3:34:00<5:40:37, 5.46s/it] 25%|██▌ | 1259/5000 [3:34:05<5:39:43, 5.45s/it] 25%|██▌ | 1260/5000 [3:34:11<5:36:15, 5.39s/it] 25%|██▌ | 1261/5000 [3:34:16<5:35:58, 5.39s/it] 25%|██▌ | 1262/5000 [3:34:22<5:35:56, 5.39s/it] 25%|██▌ | 1263/5000 [3:34:27<5:33:45, 5.36s/it] 25%|██▌ | 1264/5000 [3:34:33<5:47:52, 5.59s/it] 25%|██▌ | 1265/5000 [3:34:38<5:42:13, 5.50s/it] 25%|██▌ | 1266/5000 [3:34:44<5:38:54, 5.45s/it] 25%|██▌ | 1267/5000 [3:34:49<5:37:50, 5.43s/it] 25%|██▌ | 1268/5000 [3:34:54<5:34:42, 5.38s/it] 25%|██▌ | 1269/5000 [3:35:00<5:34:52, 5.39s/it] 25%|██▌ | 1270/5000 [3:35:05<5:32:01, 5.34s/it] 25%|██▌ | 1271/5000 [3:35:10<5:31:26, 5.33s/it] 25%|██▌ | 1272/5000 [3:35:15<5:31:02, 5.33s/it] 25%|██▌ | 1273/5000 [3:35:21<5:31:31, 5.34s/it] 25%|██▌ | 1274/5000 [3:35:26<5:29:24, 5.30s/it] 26%|██▌ | 1275/5000 [3:35:34<6:11:14, 5.98s/it] 26%|██▌ | 1275/5000 [3:35:34<6:11:14, 5.98s/it] 26%|██▌ | 1276/5000 [3:35:39<5:57:34, 5.76s/it] 26%|██▌ | 1277/5000 [3:35:44<5:50:16, 5.65s/it] 26%|██▌ | 1278/5000 [3:35:51<6:07:39, 5.93s/it] 26%|██▌ | 1279/5000 [3:35:56<5:57:07, 5.76s/it] 26%|██▌ | 1280/5000 [3:36:02<5:56:13, 5.75s/it] 26%|██▌ | 1281/5000 [3:36:07<5:47:01, 5.60s/it] 26%|██▌ | 1282/5000 [3:36:13<5:43:06, 5.54s/it] 26%|██▌ | 1283/5000 [3:36:18<5:37:23, 5.45s/it] 26%|██▌ | 1284/5000 [3:36:23<5:35:00, 5.41s/it] 26%|██▌ | 1285/5000 [3:36:29<5:42:03, 5.52s/it] 26%|██▌ | 1286/5000 [3:36:34<5:38:13, 5.46s/it] 26%|██▌ | 1287/5000 [3:36:40<5:35:34, 5.42s/it] 26%|██▌ | 1288/5000 [3:36:45<5:32:01, 5.37s/it] 26%|██▌ | 1289/5000 [3:36:50<5:37:15, 5.45s/it] 26%|██▌ | 1290/5000 [3:36:58<6:22:18, 6.18s/it] 26%|██▌ | 1291/5000 [3:37:04<6:07:52, 5.95s/it] 26%|██▌ | 1292/5000 [3:37:09<5:58:41, 5.80s/it] 26%|██▌ | 1293/5000 [3:37:14<5:49:35, 5.66s/it] 26%|██▌ | 1294/5000 [3:37:20<5:43:14, 5.56s/it] 26%|██▌ | 1295/5000 [3:37:27<6:21:25, 6.18s/it] 26%|██▌ | 1296/5000 [3:37:33<6:05:12, 5.92s/it] 26%|██▌ | 1297/5000 [3:37:38<5:53:28, 5.73s/it] 26%|██▌ | 1298/5000 [3:37:44<5:55:45, 5.77s/it] 26%|██▌ | 1299/5000 [3:37:49<5:47:15, 5.63s/it] 26%|██▌ | 1300/5000 [3:37:55<5:42:22, 5.55s/it] 26%|██▌ | 1300/5000 [3:37:55<5:42:22, 5.55s/it] 26%|██▌ | 1301/5000 [3:38:00<5:38:39, 5.49s/it] 26%|██▌ | 1302/5000 [3:38:05<5:38:33, 5.49s/it] 26%|██▌ | 1303/5000 [3:38:16<7:04:18, 6.89s/it] 26%|██▌ | 1304/5000 [3:38:22<6:56:39, 6.76s/it] 26%|██▌ | 1305/5000 [3:38:27<6:28:12, 6.30s/it] 26%|██▌ | 1306/5000 [3:38:33<6:10:26, 6.02s/it] 26%|██▌ | 1307/5000 [3:38:38<5:56:52, 5.80s/it] 26%|██▌ | 1308/5000 [3:38:43<5:47:30, 5.65s/it] 26%|██▌ | 1309/5000 [3:38:49<5:41:58, 5.56s/it] 26%|██▌ | 1310/5000 [3:38:54<5:37:16, 5.48s/it] 26%|██▌ | 1311/5000 [3:39:00<5:55:25, 5.78s/it] 26%|██▌ | 1312/5000 [3:39:06<5:57:01, 5.81s/it] 26%|██▋ | 1313/5000 [3:39:11<5:46:11, 5.63s/it] 26%|██▋ | 1314/5000 [3:39:17<5:39:02, 5.52s/it] 26%|██▋ | 1315/5000 [3:39:22<5:35:48, 5.47s/it] 26%|██▋ | 1316/5000 [3:39:27<5:32:45, 5.42s/it] 26%|██▋ | 1317/5000 [3:39:34<6:00:12, 5.87s/it] 26%|██▋ | 1318/5000 [3:39:40<5:49:25, 5.69s/it] 26%|██▋ | 1319/5000 [3:39:46<6:07:52, 6.00s/it] 26%|██▋ | 1320/5000 [3:39:52<5:56:48, 5.82s/it] 26%|██▋ | 1321/5000 [3:39:57<5:51:15, 5.73s/it] 26%|██▋ | 1322/5000 [3:40:02<5:40:39, 5.56s/it] 26%|██▋ | 1323/5000 [3:40:08<5:40:41, 5.56s/it] 26%|██▋ | 1324/5000 [3:40:13<5:36:03, 5.49s/it] 26%|██▋ | 1325/5000 [3:40:19<5:33:09, 5.44s/it] 26%|██▋ | 1325/5000 [3:40:19<5:33:09, 5.44s/it] 27%|██▋ | 1326/5000 [3:40:24<5:30:37, 5.40s/it] 27%|██▋ | 1327/5000 [3:40:31<6:03:51, 5.94s/it] 27%|██▋ | 1328/5000 [3:40:36<5:51:44, 5.75s/it] 27%|██▋ | 1329/5000 [3:40:42<5:42:14, 5.59s/it] 27%|██▋ | 1330/5000 [3:40:48<5:58:15, 5.86s/it] 27%|██▋ | 1331/5000 [3:40:54<6:02:42, 5.93s/it] 27%|██▋ | 1332/5000 [3:40:59<5:51:23, 5.75s/it] 27%|██▋ | 1333/5000 [3:41:05<5:42:09, 5.60s/it] 27%|██▋ | 1334/5000 [3:41:10<5:35:13, 5.49s/it] 27%|██▋ | 1335/5000 [3:41:15<5:32:28, 5.44s/it] 27%|██▋ | 1336/5000 [3:41:21<5:29:12, 5.39s/it] 27%|██▋ | 1337/5000 [3:41:26<5:26:38, 5.35s/it] 27%|██▋ | 1338/5000 [3:41:31<5:27:37, 5.37s/it] 27%|██▋ | 1339/5000 [3:41:36<5:25:25, 5.33s/it] 27%|██▋ | 1340/5000 [3:41:43<5:40:52, 5.59s/it] 27%|██▋ | 1341/5000 [3:41:48<5:33:01, 5.46s/it] 27%|██▋ | 1342/5000 [3:41:53<5:28:52, 5.39s/it] 27%|██▋ | 1343/5000 [3:41:58<5:25:36, 5.34s/it] 27%|██▋ | 1344/5000 [3:42:03<5:22:47, 5.30s/it] 27%|██▋ | 1345/5000 [3:42:09<5:22:53, 5.30s/it] 27%|██▋ | 1346/5000 [3:42:14<5:22:44, 5.30s/it] 27%|██▋ | 1347/5000 [3:42:20<5:35:43, 5.51s/it] 27%|██▋ | 1348/5000 [3:42:25<5:31:45, 5.45s/it] 27%|██▋ | 1349/5000 [3:42:31<5:27:53, 5.39s/it] 27%|██▋ | 1350/5000 [3:42:36<5:25:25, 5.35s/it] 27%|██▋ | 1350/5000 [3:42:36<5:25:25, 5.35s/it] 27%|██▋ | 1351/5000 [3:42:41<5:25:57, 5.36s/it] 27%|██▋ | 1352/5000 [3:42:47<5:25:45, 5.36s/it] 27%|██▋ | 1353/5000 [3:42:55<6:22:12, 6.29s/it] 27%|██▋ | 1354/5000 [3:43:02<6:24:28, 6.33s/it] 27%|██▋ | 1355/5000 [3:43:07<6:06:07, 6.03s/it] 27%|██▋ | 1356/5000 [3:43:12<5:51:18, 5.78s/it] 27%|██▋ | 1357/5000 [3:43:17<5:41:02, 5.62s/it] 27%|██▋ | 1358/5000 [3:43:29<7:40:02, 7.58s/it] 27%|██▋ | 1359/5000 [3:43:35<7:11:27, 7.11s/it] 27%|██▋ | 1360/5000 [3:43:41<6:37:48, 6.56s/it] 27%|██▋ | 1361/5000 [3:43:46<6:12:04, 6.13s/it] 27%|██▋ | 1362/5000 [3:43:51<5:56:55, 5.89s/it] 27%|██▋ | 1363/5000 [3:43:56<5:43:13, 5.66s/it] 27%|██▋ | 1364/5000 [3:44:01<5:34:03, 5.51s/it] 27%|██▋ | 1365/5000 [3:44:07<5:29:57, 5.45s/it] 27%|██▋ | 1366/5000 [3:44:12<5:26:21, 5.39s/it] 27%|██▋ | 1367/5000 [3:44:17<5:22:20, 5.32s/it] 27%|██▋ | 1368/5000 [3:44:23<5:28:25, 5.43s/it] 27%|██▋ | 1369/5000 [3:44:28<5:24:29, 5.36s/it] 27%|██▋ | 1370/5000 [3:44:34<5:32:16, 5.49s/it] 27%|██▋ | 1371/5000 [3:44:42<6:17:50, 6.25s/it] 27%|██▋ | 1372/5000 [3:44:47<5:59:46, 5.95s/it] 27%|██▋ | 1373/5000 [3:44:52<5:46:00, 5.72s/it] 27%|██▋ | 1374/5000 [3:44:58<5:50:38, 5.80s/it] 28%|██▊ | 1375/5000 [3:45:03<5:39:12, 5.61s/it] 28%|██▊ | 1375/5000 [3:45:03<5:39:12, 5.61s/it] 28%|██▊ | 1376/5000 [3:45:09<5:31:44, 5.49s/it] 28%|██▊ | 1377/5000 [3:45:15<5:41:55, 5.66s/it] 28%|██▊ | 1378/5000 [3:45:20<5:32:05, 5.50s/it] 28%|██▊ | 1379/5000 [3:45:25<5:27:05, 5.42s/it] 28%|██▊ | 1380/5000 [3:45:30<5:21:30, 5.33s/it] 28%|██▊ | 1381/5000 [3:45:35<5:19:36, 5.30s/it] 28%|██▊ | 1382/5000 [3:45:41<5:18:28, 5.28s/it] 28%|██▊ | 1383/5000 [3:45:50<6:25:49, 6.40s/it] 28%|██▊ | 1384/5000 [3:45:55<6:05:44, 6.07s/it] 28%|██▊ | 1385/5000 [3:46:00<5:50:37, 5.82s/it] 28%|██▊ | 1386/5000 [3:46:05<5:39:47, 5.64s/it] 28%|██▊ | 1387/5000 [3:46:11<5:32:23, 5.52s/it] 28%|██▊ | 1388/5000 [3:46:16<5:26:32, 5.42s/it] 28%|██▊ | 1389/5000 [3:46:21<5:21:24, 5.34s/it] 28%|██▊ | 1390/5000 [3:46:26<5:19:54, 5.32s/it] 28%|██▊ | 1391/5000 [3:46:31<5:17:05, 5.27s/it] 28%|██▊ | 1392/5000 [3:46:37<5:15:51, 5.25s/it] 28%|██▊ | 1393/5000 [3:46:42<5:14:55, 5.24s/it] 28%|██▊ | 1394/5000 [3:46:47<5:15:10, 5.24s/it] 28%|██▊ | 1395/5000 [3:46:52<5:15:41, 5.25s/it] 28%|██▊ | 1396/5000 [3:46:58<5:15:10, 5.25s/it] 28%|██▊ | 1397/5000 [3:47:03<5:23:39, 5.39s/it] 28%|██▊ | 1398/5000 [3:47:09<5:19:13, 5.32s/it] 28%|██▊ | 1399/5000 [3:47:14<5:17:14, 5.29s/it] 28%|██▊ | 1400/5000 [3:47:19<5:23:42, 5.40s/it] 28%|██▊ | 1400/5000 [3:47:19<5:23:42, 5.40s/it] 28%|██▊ | 1401/5000 [3:47:25<5:20:56, 5.35s/it] 28%|██▊ | 1402/5000 [3:47:30<5:19:14, 5.32s/it] 28%|██▊ | 1403/5000 [3:47:35<5:17:17, 5.29s/it] 28%|██▊ | 1404/5000 [3:47:40<5:14:09, 5.24s/it] 28%|██▊ | 1405/5000 [3:47:45<5:12:22, 5.21s/it] 28%|██▊ | 1406/5000 [3:47:51<5:11:40, 5.20s/it] 28%|██▊ | 1407/5000 [3:47:56<5:12:55, 5.23s/it] 28%|██▊ | 1408/5000 [3:48:01<5:13:48, 5.24s/it] 28%|██▊ | 1409/5000 [3:48:07<5:21:57, 5.38s/it] 28%|██▊ | 1410/5000 [3:48:12<5:16:21, 5.29s/it] 28%|██▊ | 1411/5000 [3:48:17<5:14:07, 5.25s/it] 28%|██▊ | 1412/5000 [3:48:25<6:09:35, 6.18s/it] 28%|██▊ | 1413/5000 [3:48:33<6:28:54, 6.51s/it] 28%|██▊ | 1414/5000 [3:48:38<6:07:36, 6.15s/it] 28%|██▊ | 1415/5000 [3:48:43<5:48:59, 5.84s/it] 28%|██▊ | 1416/5000 [3:48:48<5:39:52, 5.69s/it] 28%|██▊ | 1417/5000 [3:48:54<5:31:04, 5.54s/it] 28%|██▊ | 1418/5000 [3:48:59<5:28:27, 5.50s/it] 28%|██▊ | 1419/5000 [3:49:08<6:31:58, 6.57s/it] 28%|██▊ | 1420/5000 [3:49:13<6:08:42, 6.18s/it] 28%|██▊ | 1421/5000 [3:49:19<5:49:45, 5.86s/it] 28%|██▊ | 1422/5000 [3:49:24<5:38:11, 5.67s/it] 28%|██▊ | 1423/5000 [3:49:29<5:27:44, 5.50s/it] 28%|██▊ | 1424/5000 [3:49:34<5:22:01, 5.40s/it] 28%|██▊ | 1425/5000 [3:49:39<5:17:55, 5.34s/it] 28%|██▊ | 1425/5000 [3:49:39<5:17:55, 5.34s/it] 29%|██▊ | 1426/5000 [3:49:44<5:15:13, 5.29s/it] 29%|██▊ | 1427/5000 [3:49:50<5:12:39, 5.25s/it] 29%|██▊ | 1428/5000 [3:49:55<5:11:45, 5.24s/it] 29%|██▊ | 1429/5000 [3:50:01<5:22:20, 5.42s/it] 29%|██▊ | 1430/5000 [3:50:06<5:16:17, 5.32s/it] 29%|██▊ | 1431/5000 [3:50:11<5:13:10, 5.26s/it] 29%|██▊ | 1432/5000 [3:50:16<5:12:09, 5.25s/it] 29%|██▊ | 1433/5000 [3:50:21<5:12:45, 5.26s/it] 29%|██▊ | 1434/5000 [3:50:26<5:11:01, 5.23s/it] 29%|██▊ | 1435/5000 [3:50:32<5:09:52, 5.22s/it] 29%|██▊ | 1436/5000 [3:50:37<5:20:22, 5.39s/it] 29%|██▊ | 1437/5000 [3:50:43<5:17:17, 5.34s/it] 29%|██▉ | 1438/5000 [3:50:48<5:15:52, 5.32s/it] 29%|██▉ | 1439/5000 [3:50:55<5:41:57, 5.76s/it] 29%|██▉ | 1440/5000 [3:51:00<5:32:31, 5.60s/it] 29%|██▉ | 1441/5000 [3:51:05<5:22:56, 5.44s/it] 29%|██▉ | 1442/5000 [3:51:10<5:19:30, 5.39s/it] 29%|██▉ | 1443/5000 [3:51:15<5:15:20, 5.32s/it] 29%|██▉ | 1444/5000 [3:51:22<5:28:47, 5.55s/it] 29%|██▉ | 1445/5000 [3:51:27<5:31:35, 5.60s/it] 29%|██▉ | 1446/5000 [3:51:33<5:25:35, 5.50s/it] 29%|██▉ | 1447/5000 [3:51:38<5:20:34, 5.41s/it] 29%|██▉ | 1448/5000 [3:51:43<5:17:53, 5.37s/it] 29%|██▉ | 1449/5000 [3:51:51<6:04:57, 6.17s/it] 29%|██▉ | 1450/5000 [3:51:59<6:32:57, 6.64s/it] 29%|██▉ | 1450/5000 [3:51:59<6:32:57, 6.64s/it] 29%|██▉ | 1451/5000 [3:52:06<6:43:25, 6.82s/it] 29%|██▉ | 1452/5000 [3:52:11<6:13:35, 6.32s/it] 29%|██▉ | 1453/5000 [3:52:16<5:55:59, 6.02s/it] 29%|██▉ | 1454/5000 [3:52:22<5:47:10, 5.87s/it] 29%|██▉ | 1455/5000 [3:52:27<5:36:17, 5.69s/it] 29%|██▉ | 1456/5000 [3:52:33<5:32:29, 5.63s/it] 29%|██▉ | 1457/5000 [3:52:40<5:55:31, 6.02s/it] 29%|██▉ | 1458/5000 [3:52:45<5:40:40, 5.77s/it] 29%|██▉ | 1459/5000 [3:52:50<5:30:26, 5.60s/it] 29%|██▉ | 1460/5000 [3:52:55<5:23:36, 5.48s/it] 29%|██▉ | 1461/5000 [3:53:01<5:18:49, 5.41s/it] 29%|██▉ | 1462/5000 [3:53:06<5:16:10, 5.36s/it] 29%|██▉ | 1463/5000 [3:53:11<5:12:54, 5.31s/it] 29%|██▉ | 1464/5000 [3:53:16<5:12:39, 5.31s/it] 29%|██▉ | 1465/5000 [3:53:22<5:18:26, 5.41s/it] 29%|██▉ | 1466/5000 [3:53:27<5:15:34, 5.36s/it] 29%|██▉ | 1467/5000 [3:53:38<6:48:17, 6.93s/it] 29%|██▉ | 1468/5000 [3:53:45<6:50:04, 6.97s/it] 29%|██▉ | 1469/5000 [3:53:50<6:18:16, 6.43s/it] 29%|██▉ | 1470/5000 [3:53:55<5:58:13, 6.09s/it] 29%|██▉ | 1471/5000 [3:54:01<5:43:44, 5.84s/it] 29%|██▉ | 1472/5000 [3:54:06<5:32:56, 5.66s/it] 29%|██▉ | 1473/5000 [3:54:11<5:31:38, 5.64s/it] 29%|██▉ | 1474/5000 [3:54:17<5:25:20, 5.54s/it] 30%|██▉ | 1475/5000 [3:54:23<5:34:01, 5.69s/it] 30%|██▉ | 1475/5000 [3:54:23<5:34:01, 5.69s/it] 30%|██▉ | 1476/5000 [3:54:28<5:25:54, 5.55s/it] 30%|██▉ | 1477/5000 [3:54:33<5:20:56, 5.47s/it] 30%|██▉ | 1478/5000 [3:54:39<5:23:30, 5.51s/it] 30%|██▉ | 1479/5000 [3:54:44<5:19:13, 5.44s/it] 30%|██▉ | 1480/5000 [3:54:50<5:18:49, 5.43s/it] 30%|██▉ | 1481/5000 [3:54:55<5:14:47, 5.37s/it] 30%|██▉ | 1482/5000 [3:55:00<5:13:07, 5.34s/it] 30%|██▉ | 1483/5000 [3:55:05<5:11:41, 5.32s/it] 30%|██▉ | 1484/5000 [3:55:12<5:37:40, 5.76s/it] 30%|██▉ | 1485/5000 [3:55:17<5:29:24, 5.62s/it] 30%|██▉ | 1486/5000 [3:55:23<5:29:55, 5.63s/it] 30%|██▉ | 1487/5000 [3:55:28<5:21:09, 5.49s/it] 30%|██▉ | 1488/5000 [3:55:33<5:16:51, 5.41s/it] 30%|██▉ | 1489/5000 [3:55:39<5:12:32, 5.34s/it] 30%|██▉ | 1490/5000 [3:55:44<5:11:17, 5.32s/it] 30%|██▉ | 1491/5000 [3:55:50<5:20:26, 5.48s/it] 30%|██▉ | 1492/5000 [3:55:57<5:45:03, 5.90s/it] 30%|██▉ | 1493/5000 [3:56:02<5:33:48, 5.71s/it] 30%|██▉ | 1494/5000 [3:56:07<5:24:41, 5.56s/it] 30%|██▉ | 1495/5000 [3:56:12<5:17:47, 5.44s/it] 30%|██▉ | 1496/5000 [3:56:17<5:12:55, 5.36s/it] 30%|██▉ | 1497/5000 [3:56:23<5:10:54, 5.33s/it] 30%|██▉ | 1498/5000 [3:56:28<5:18:21, 5.45s/it] 30%|██▉ | 1499/5000 [3:56:34<5:15:39, 5.41s/it] 30%|███ | 1500/5000 [3:56:39<5:13:41, 5.38s/it] 30%|███ | 1500/5000 [3:56:39<5:13:41, 5.38s/it] 30%|███ | 1501/5000 [3:56:44<5:12:12, 5.35s/it] 30%|███ | 1502/5000 [3:56:50<5:09:25, 5.31s/it] 30%|███ | 1503/5000 [3:56:55<5:09:10, 5.30s/it] 30%|███ | 1504/5000 [3:57:00<5:07:05, 5.27s/it] 30%|███ | 1505/5000 [3:57:06<5:20:01, 5.49s/it] 30%|███ | 1506/5000 [3:57:11<5:15:06, 5.41s/it] 30%|███ | 1507/5000 [3:57:17<5:17:00, 5.45s/it] 30%|███ | 1508/5000 [3:57:22<5:11:57, 5.36s/it] 30%|███ | 1509/5000 [3:57:29<5:40:44, 5.86s/it] 30%|███ | 1510/5000 [3:57:35<5:38:43, 5.82s/it] 30%|███ | 1511/5000 [3:57:40<5:29:42, 5.67s/it] 30%|███ | 1512/5000 [3:57:45<5:22:52, 5.55s/it] 30%|███ | 1513/5000 [3:57:51<5:17:07, 5.46s/it] 30%|███ | 1514/5000 [3:57:56<5:13:26, 5.39s/it] 30%|███ | 1515/5000 [3:58:01<5:09:57, 5.34s/it] 30%|███ | 1516/5000 [3:58:06<5:06:41, 5.28s/it] 30%|███ | 1517/5000 [3:58:11<5:06:12, 5.27s/it] 30%|███ | 1518/5000 [3:58:19<5:47:57, 6.00s/it] 30%|███ | 1519/5000 [3:58:24<5:34:55, 5.77s/it] 30%|███ | 1520/5000 [3:58:30<5:30:13, 5.69s/it] 30%|███ | 1521/5000 [3:58:35<5:21:50, 5.55s/it] 30%|███ | 1522/5000 [3:58:43<6:07:33, 6.34s/it] 30%|███ | 1523/5000 [3:58:48<5:48:04, 6.01s/it] 30%|███ | 1524/5000 [3:58:55<5:58:42, 6.19s/it] 30%|███ | 1525/5000 [3:59:00<5:40:32, 5.88s/it] 30%|███ | 1525/5000 [3:59:00<5:40:32, 5.88s/it] 31%|███ | 1526/5000 [3:59:05<5:28:43, 5.68s/it] 31%|███ | 1527/5000 [3:59:11<5:22:08, 5.57s/it] 31%|███ | 1528/5000 [3:59:16<5:17:26, 5.49s/it] 31%|███ | 1529/5000 [3:59:21<5:13:01, 5.41s/it] 31%|███ | 1530/5000 [3:59:27<5:17:50, 5.50s/it] 31%|███ | 1531/5000 [3:59:32<5:12:19, 5.40s/it] 31%|███ | 1532/5000 [3:59:38<5:25:25, 5.63s/it] 31%|███ | 1533/5000 [3:59:44<5:18:55, 5.52s/it] 31%|███ | 1534/5000 [3:59:49<5:14:13, 5.44s/it] 31%|███ | 1535/5000 [3:59:54<5:14:55, 5.45s/it] 31%|███ | 1536/5000 [4:00:00<5:27:41, 5.68s/it] 31%|███ | 1537/5000 [4:00:06<5:19:41, 5.54s/it] 31%|███ | 1538/5000 [4:00:11<5:21:30, 5.57s/it] 31%|███ | 1539/5000 [4:00:17<5:15:55, 5.48s/it] 31%|███ | 1540/5000 [4:00:22<5:11:27, 5.40s/it] 31%|███ | 1541/5000 [4:00:27<5:08:15, 5.35s/it] 31%|███ | 1542/5000 [4:00:32<5:07:15, 5.33s/it] 31%|███ | 1543/5000 [4:00:38<5:08:07, 5.35s/it] 31%|███ | 1544/5000 [4:00:44<5:23:02, 5.61s/it] 31%|███ | 1545/5000 [4:00:49<5:14:01, 5.45s/it] 31%|███ | 1546/5000 [4:00:55<5:28:28, 5.71s/it] 31%|███ | 1547/5000 [4:01:01<5:22:53, 5.61s/it] 31%|███ | 1548/5000 [4:01:07<5:38:07, 5.88s/it] 31%|███ | 1549/5000 [4:01:12<5:24:59, 5.65s/it] 31%|███ | 1550/5000 [4:01:18<5:18:47, 5.54s/it] 31%|███ | 1550/5000 [4:01:18<5:18:47, 5.54s/it] 31%|███ | 1551/5000 [4:01:23<5:21:34, 5.59s/it] 31%|███ | 1552/5000 [4:01:29<5:16:04, 5.50s/it] 31%|███ | 1553/5000 [4:01:34<5:12:18, 5.44s/it] 31%|███ | 1554/5000 [4:01:39<5:07:11, 5.35s/it] 31%|███ | 1555/5000 [4:01:44<5:05:03, 5.31s/it] 31%|███ | 1556/5000 [4:01:50<5:05:47, 5.33s/it] 31%|███ | 1557/5000 [4:01:55<5:05:10, 5.32s/it] 31%|███ | 1558/5000 [4:02:01<5:09:07, 5.39s/it] 31%|███ | 1559/5000 [4:02:06<5:05:55, 5.33s/it] 31%|███ | 1560/5000 [4:02:11<5:13:03, 5.46s/it] 31%|███ | 1561/5000 [4:02:17<5:09:06, 5.39s/it] 31%|███ | 1562/5000 [4:02:22<5:08:41, 5.39s/it] 31%|███▏ | 1563/5000 [4:02:27<5:05:19, 5.33s/it] 31%|███▏ | 1564/5000 [4:02:33<5:03:41, 5.30s/it] 31%|███▏ | 1565/5000 [4:02:38<5:02:46, 5.29s/it] 31%|███▏ | 1566/5000 [4:02:43<4:59:09, 5.23s/it] 31%|███▏ | 1567/5000 [4:02:48<4:59:20, 5.23s/it] 31%|███▏ | 1568/5000 [4:02:53<4:59:58, 5.24s/it] 31%|███▏ | 1569/5000 [4:02:59<4:59:29, 5.24s/it] 31%|███▏ | 1570/5000 [4:03:04<4:59:17, 5.24s/it] 31%|███▏ | 1571/5000 [4:03:09<4:59:16, 5.24s/it] 31%|███▏ | 1572/5000 [4:03:14<4:59:26, 5.24s/it] 31%|███▏ | 1573/5000 [4:03:20<4:58:27, 5.23s/it] 31%|███▏ | 1574/5000 [4:03:25<4:59:26, 5.24s/it] 32%|███▏ | 1575/5000 [4:03:30<4:59:09, 5.24s/it] 32%|███▏ | 1575/5000 [4:03:30<4:59:09, 5.24s/it] 32%|███▏ | 1576/5000 [4:03:39<5:54:27, 6.21s/it] 32%|███▏ | 1577/5000 [4:03:47<6:28:16, 6.81s/it] 32%|███▏ | 1578/5000 [4:03:54<6:37:08, 6.96s/it] 32%|███▏ | 1579/5000 [4:03:59<6:03:54, 6.38s/it] 32%|███▏ | 1580/5000 [4:04:05<5:54:27, 6.22s/it] 32%|███▏ | 1581/5000 [4:04:10<5:36:58, 5.91s/it] 32%|███▏ | 1582/5000 [4:04:15<5:22:24, 5.66s/it] 32%|███▏ | 1583/5000 [4:04:20<5:15:02, 5.53s/it] 32%|███▏ | 1584/5000 [4:04:25<5:07:34, 5.40s/it] 32%|███▏ | 1585/5000 [4:04:31<5:02:01, 5.31s/it] 32%|███▏ | 1586/5000 [4:04:36<4:59:08, 5.26s/it] 32%|███▏ | 1587/5000 [4:04:41<4:57:55, 5.24s/it] 32%|███▏ | 1588/5000 [4:04:46<4:55:14, 5.19s/it] 32%|███▏ | 1589/5000 [4:04:51<4:54:18, 5.18s/it] 32%|███▏ | 1590/5000 [4:04:56<4:54:08, 5.18s/it] 32%|███▏ | 1591/5000 [4:05:01<4:54:00, 5.17s/it] 32%|███▏ | 1592/5000 [4:05:09<5:32:15, 5.85s/it] 32%|███▏ | 1593/5000 [4:05:14<5:20:31, 5.64s/it] 32%|███▏ | 1594/5000 [4:05:19<5:10:48, 5.48s/it] 32%|███▏ | 1595/5000 [4:05:27<5:45:30, 6.09s/it] 32%|███▏ | 1596/5000 [4:05:32<5:30:46, 5.83s/it] 32%|███▏ | 1597/5000 [4:05:37<5:17:53, 5.61s/it] 32%|███▏ | 1598/5000 [4:05:42<5:10:47, 5.48s/it] 32%|███▏ | 1599/5000 [4:05:47<5:06:36, 5.41s/it] 32%|███▏ | 1600/5000 [4:05:53<5:04:27, 5.37s/it] 32%|███▏ | 1600/5000 [4:05:53<5:04:27, 5.37s/it] 32%|███▏ | 1601/5000 [4:05:58<4:59:17, 5.28s/it] 32%|███▏ | 1602/5000 [4:06:04<5:10:52, 5.49s/it] 32%|███▏ | 1603/5000 [4:06:09<5:14:37, 5.56s/it] 32%|███▏ | 1604/5000 [4:06:15<5:07:00, 5.42s/it] 32%|███▏ | 1605/5000 [4:06:20<5:02:24, 5.34s/it] 32%|███▏ | 1606/5000 [4:06:25<4:59:30, 5.29s/it] 32%|███▏ | 1607/5000 [4:06:30<4:58:00, 5.27s/it] 32%|███▏ | 1608/5000 [4:06:38<5:37:32, 5.97s/it] 32%|███▏ | 1609/5000 [4:06:43<5:24:10, 5.74s/it] 32%|███▏ | 1610/5000 [4:06:48<5:14:27, 5.57s/it] 32%|███▏ | 1611/5000 [4:06:53<5:08:19, 5.46s/it] 32%|███▏ | 1612/5000 [4:06:59<5:04:38, 5.39s/it] 32%|███▏ | 1613/5000 [4:07:04<5:01:24, 5.34s/it] 32%|███▏ | 1614/5000 [4:07:09<4:58:05, 5.28s/it] 32%|███▏ | 1615/5000 [4:07:14<4:58:09, 5.28s/it] 32%|███▏ | 1616/5000 [4:07:19<4:55:15, 5.24s/it] 32%|███▏ | 1617/5000 [4:07:25<4:55:44, 5.25s/it] 32%|███▏ | 1618/5000 [4:07:31<5:20:22, 5.68s/it] 32%|███▏ | 1619/5000 [4:07:37<5:19:33, 5.67s/it] 32%|███▏ | 1620/5000 [4:07:43<5:17:59, 5.64s/it] 32%|███▏ | 1621/5000 [4:07:48<5:11:56, 5.54s/it] 32%|███▏ | 1622/5000 [4:07:54<5:20:00, 5.68s/it] 32%|███▏ | 1623/5000 [4:07:59<5:12:08, 5.55s/it] 32%|███▏ | 1624/5000 [4:08:04<5:07:40, 5.47s/it] 32%|███▎ | 1625/5000 [4:08:10<5:09:16, 5.50s/it] 32%|███▎ | 1625/5000 [4:08:10<5:09:16, 5.50s/it] 33%|███▎ | 1626/5000 [4:08:15<5:03:51, 5.40s/it] 33%|███▎ | 1627/5000 [4:08:20<5:00:13, 5.34s/it] 33%|███▎ | 1628/5000 [4:08:26<5:04:28, 5.42s/it] 33%|███▎ | 1629/5000 [4:08:31<5:01:50, 5.37s/it] 33%|███▎ | 1630/5000 [4:08:36<4:59:35, 5.33s/it] 33%|███▎ | 1631/5000 [4:08:42<4:57:13, 5.29s/it] 33%|███▎ | 1632/5000 [4:08:50<5:42:18, 6.10s/it] 33%|███▎ | 1633/5000 [4:08:55<5:26:43, 5.82s/it] 33%|███▎ | 1634/5000 [4:09:00<5:15:03, 5.62s/it] 33%|███▎ | 1635/5000 [4:09:05<5:09:31, 5.52s/it] 33%|███▎ | 1636/5000 [4:09:11<5:09:34, 5.52s/it] 33%|███▎ | 1637/5000 [4:09:16<5:03:08, 5.41s/it] 33%|███▎ | 1638/5000 [4:09:21<4:58:37, 5.33s/it] 33%|███▎ | 1639/5000 [4:09:26<4:56:28, 5.29s/it] 33%|███▎ | 1640/5000 [4:09:31<4:53:21, 5.24s/it] 33%|███▎ | 1641/5000 [4:09:37<4:53:17, 5.24s/it] 33%|███▎ | 1642/5000 [4:09:42<4:53:04, 5.24s/it] 33%|███▎ | 1643/5000 [4:09:47<4:50:52, 5.20s/it] 33%|███▎ | 1644/5000 [4:09:52<4:50:54, 5.20s/it] 33%|███▎ | 1645/5000 [4:09:57<4:50:07, 5.19s/it] 33%|███▎ | 1646/5000 [4:10:02<4:50:36, 5.20s/it] 33%|███▎ | 1647/5000 [4:10:08<4:49:43, 5.18s/it] 33%|███▎ | 1648/5000 [4:10:13<4:51:18, 5.21s/it] 33%|███▎ | 1649/5000 [4:10:18<4:50:19, 5.20s/it] 33%|███▎ | 1650/5000 [4:10:24<4:55:05, 5.29s/it] 33%|███▎ | 1650/5000 [4:10:24<4:55:05, 5.29s/it] 33%|███▎ | 1651/5000 [4:10:29<4:51:46, 5.23s/it] 33%|███▎ | 1652/5000 [4:10:34<4:50:55, 5.21s/it] 33%|███▎ | 1653/5000 [4:10:39<4:50:55, 5.22s/it] 33%|███▎ | 1654/5000 [4:10:44<4:52:00, 5.24s/it] 33%|███▎ | 1655/5000 [4:10:49<4:49:39, 5.20s/it] 33%|███▎ | 1656/5000 [4:10:55<4:51:52, 5.24s/it] 33%|███▎ | 1657/5000 [4:11:00<4:58:22, 5.36s/it] 33%|███▎ | 1658/5000 [4:11:06<4:56:00, 5.31s/it] 33%|███▎ | 1659/5000 [4:11:13<5:38:22, 6.08s/it] 33%|███▎ | 1660/5000 [4:11:19<5:24:29, 5.83s/it] 33%|███▎ | 1661/5000 [4:11:24<5:12:10, 5.61s/it] 33%|███▎ | 1662/5000 [4:11:29<5:04:37, 5.48s/it] 33%|███▎ | 1663/5000 [4:11:34<5:00:06, 5.40s/it] 33%|███▎ | 1664/5000 [4:11:39<4:55:00, 5.31s/it] 33%|███▎ | 1665/5000 [4:11:46<5:14:49, 5.66s/it] 33%|███▎ | 1666/5000 [4:11:51<5:07:29, 5.53s/it] 33%|███▎ | 1667/5000 [4:11:56<5:02:28, 5.45s/it] 33%|███▎ | 1668/5000 [4:12:03<5:20:42, 5.78s/it] 33%|███▎ | 1669/5000 [4:12:08<5:09:05, 5.57s/it] 33%|███▎ | 1670/5000 [4:12:13<5:01:34, 5.43s/it] 33%|███▎ | 1671/5000 [4:12:18<4:57:27, 5.36s/it] 33%|███▎ | 1672/5000 [4:12:23<4:53:09, 5.29s/it] 33%|███▎ | 1673/5000 [4:12:29<5:04:14, 5.49s/it] 33%|███▎ | 1674/5000 [4:12:34<4:57:00, 5.36s/it] 34%|███▎ | 1675/5000 [4:12:39<4:53:14, 5.29s/it] 34%|███▎ | 1675/5000 [4:12:39<4:53:14, 5.29s/it] 34%|███▎ | 1676/5000 [4:12:45<4:51:19, 5.26s/it] 34%|███▎ | 1677/5000 [4:12:50<4:50:48, 5.25s/it] 34%|███▎ | 1678/5000 [4:12:55<4:50:20, 5.24s/it] 34%|███▎ | 1679/5000 [4:13:00<4:51:11, 5.26s/it] 34%|███▎ | 1680/5000 [4:13:06<4:53:44, 5.31s/it] 34%|███▎ | 1681/5000 [4:13:14<5:34:32, 6.05s/it] 34%|███▎ | 1682/5000 [4:13:19<5:20:35, 5.80s/it] 34%|███▎ | 1683/5000 [4:13:24<5:08:45, 5.58s/it] 34%|███▎ | 1684/5000 [4:13:29<5:02:38, 5.48s/it] 34%|███▎ | 1685/5000 [4:13:34<4:58:18, 5.40s/it] 34%|███▎ | 1686/5000 [4:13:39<4:53:04, 5.31s/it] 34%|███▎ | 1687/5000 [4:13:52<7:01:24, 7.63s/it] 34%|███▍ | 1688/5000 [4:13:58<6:21:17, 6.91s/it] 34%|███▍ | 1689/5000 [4:14:03<5:54:05, 6.42s/it] 34%|███▍ | 1690/5000 [4:14:08<5:36:20, 6.10s/it] 34%|███▍ | 1691/5000 [4:14:14<5:21:14, 5.82s/it] 34%|███▍ | 1692/5000 [4:14:19<5:10:27, 5.63s/it] 34%|███▍ | 1693/5000 [4:14:24<5:03:53, 5.51s/it] 34%|███▍ | 1694/5000 [4:14:29<4:59:42, 5.44s/it] 34%|███▍ | 1695/5000 [4:14:34<4:55:55, 5.37s/it] 34%|███▍ | 1696/5000 [4:14:40<4:53:34, 5.33s/it] 34%|███▍ | 1697/5000 [4:14:45<4:50:45, 5.28s/it] 34%|███▍ | 1698/5000 [4:14:50<4:49:08, 5.25s/it] 34%|███▍ | 1699/5000 [4:14:55<4:46:41, 5.21s/it] 34%|███▍ | 1700/5000 [4:15:00<4:44:56, 5.18s/it] 34%|███▍ | 1700/5000 [4:15:00<4:44:56, 5.18s/it] 34%|███▍ | 1701/5000 [4:15:05<4:45:05, 5.19s/it] 34%|███▍ | 1702/5000 [4:15:11<4:45:36, 5.20s/it] 34%|███▍ | 1703/5000 [4:15:16<4:45:25, 5.19s/it] 34%|███▍ | 1704/5000 [4:15:21<4:45:29, 5.20s/it] 34%|███▍ | 1705/5000 [4:15:26<4:46:11, 5.21s/it] 34%|███▍ | 1706/5000 [4:15:31<4:45:59, 5.21s/it] 34%|███▍ | 1707/5000 [4:15:37<4:45:52, 5.21s/it] 34%|███▍ | 1708/5000 [4:15:42<4:45:35, 5.21s/it] 34%|███▍ | 1709/5000 [4:15:48<4:54:54, 5.38s/it] 34%|███▍ | 1710/5000 [4:15:53<4:51:12, 5.31s/it] 34%|███▍ | 1711/5000 [4:15:58<4:50:39, 5.30s/it] 34%|███▍ | 1712/5000 [4:16:03<4:49:38, 5.29s/it] 34%|███▍ | 1713/5000 [4:16:09<4:48:48, 5.27s/it] 34%|███▍ | 1714/5000 [4:16:14<4:48:17, 5.26s/it] 34%|███▍ | 1715/5000 [4:16:19<4:46:12, 5.23s/it] 34%|███▍ | 1716/5000 [4:16:24<4:48:39, 5.27s/it] 34%|███▍ | 1717/5000 [4:16:30<4:46:27, 5.24s/it] 34%|███▍ | 1718/5000 [4:16:35<4:51:12, 5.32s/it] 34%|███▍ | 1719/5000 [4:16:42<5:17:49, 5.81s/it] 34%|███▍ | 1720/5000 [4:16:47<5:09:02, 5.65s/it] 34%|███▍ | 1721/5000 [4:16:53<5:02:33, 5.54s/it] 34%|███▍ | 1722/5000 [4:16:58<4:57:23, 5.44s/it] 34%|███▍ | 1723/5000 [4:17:03<4:54:08, 5.39s/it] 34%|███▍ | 1724/5000 [4:17:08<4:51:57, 5.35s/it] 34%|███▍ | 1725/5000 [4:17:13<4:48:13, 5.28s/it] 34%|███▍ | 1725/5000 [4:17:13<4:48:13, 5.28s/it] 35%|███▍ | 1726/5000 [4:17:19<4:46:16, 5.25s/it] 35%|███▍ | 1727/5000 [4:17:24<4:45:15, 5.23s/it] 35%|███▍ | 1728/5000 [4:17:29<4:44:36, 5.22s/it] 35%|███▍ | 1729/5000 [4:17:34<4:43:01, 5.19s/it] 35%|███▍ | 1730/5000 [4:17:39<4:42:58, 5.19s/it] 35%|███▍ | 1731/5000 [4:17:44<4:42:59, 5.19s/it] 35%|███▍ | 1732/5000 [4:17:53<5:33:54, 6.13s/it] 35%|███▍ | 1733/5000 [4:17:58<5:16:25, 5.81s/it] 35%|███▍ | 1734/5000 [4:18:03<5:06:19, 5.63s/it] 35%|███▍ | 1735/5000 [4:18:08<5:00:45, 5.53s/it] 35%|███▍ | 1736/5000 [4:18:14<4:56:17, 5.45s/it] 35%|███▍ | 1737/5000 [4:18:19<4:58:35, 5.49s/it] 35%|███▍ | 1738/5000 [4:18:25<5:08:00, 5.67s/it] 35%|███▍ | 1739/5000 [4:18:31<5:10:30, 5.71s/it] 35%|███▍ | 1740/5000 [4:18:36<5:02:56, 5.58s/it] 35%|███▍ | 1741/5000 [4:18:42<4:57:53, 5.48s/it] 35%|███▍ | 1742/5000 [4:18:51<5:54:38, 6.53s/it] 35%|███▍ | 1743/5000 [4:18:56<5:33:52, 6.15s/it] 35%|███▍ | 1744/5000 [4:19:01<5:19:28, 5.89s/it] 35%|███▍ | 1745/5000 [4:19:07<5:20:47, 5.91s/it] 35%|███▍ | 1746/5000 [4:19:12<5:10:23, 5.72s/it] 35%|███▍ | 1747/5000 [4:19:18<5:03:40, 5.60s/it] 35%|███▍ | 1748/5000 [4:19:23<4:56:19, 5.47s/it] 35%|███▍ | 1749/5000 [4:19:28<4:52:48, 5.40s/it] 35%|███▌ | 1750/5000 [4:19:33<4:49:28, 5.34s/it] 35%|███▌ | 1750/5000 [4:19:33<4:49:28, 5.34s/it] 35%|███▌ | 1751/5000 [4:19:39<4:54:25, 5.44s/it] 35%|███▌ | 1752/5000 [4:19:45<4:58:46, 5.52s/it] 35%|███▌ | 1753/5000 [4:19:51<5:06:07, 5.66s/it] 35%|███▌ | 1754/5000 [4:19:56<4:58:53, 5.52s/it] 35%|███▌ | 1755/5000 [4:20:01<4:52:43, 5.41s/it] 35%|███▌ | 1756/5000 [4:20:06<4:51:14, 5.39s/it] 35%|███▌ | 1757/5000 [4:20:12<4:48:30, 5.34s/it] 35%|███▌ | 1758/5000 [4:20:17<4:44:54, 5.27s/it] 35%|███▌ | 1759/5000 [4:20:22<4:44:12, 5.26s/it] 35%|███▌ | 1760/5000 [4:20:27<4:43:35, 5.25s/it] 35%|███▌ | 1761/5000 [4:20:32<4:43:59, 5.26s/it] 35%|███▌ | 1762/5000 [4:20:39<4:59:51, 5.56s/it] 35%|███▌ | 1763/5000 [4:20:44<4:54:24, 5.46s/it] 35%|███▌ | 1764/5000 [4:20:49<4:51:16, 5.40s/it] 35%|███▌ | 1765/5000 [4:20:54<4:47:11, 5.33s/it] 35%|███▌ | 1766/5000 [4:21:00<4:46:09, 5.31s/it] 35%|███▌ | 1767/5000 [4:21:05<4:45:07, 5.29s/it] 35%|███▌ | 1768/5000 [4:21:12<5:13:12, 5.81s/it] 35%|███▌ | 1769/5000 [4:21:18<5:11:13, 5.78s/it] 35%|███▌ | 1770/5000 [4:21:23<5:02:20, 5.62s/it] 35%|███▌ | 1771/5000 [4:21:28<4:56:02, 5.50s/it] 35%|███▌ | 1772/5000 [4:21:36<5:31:18, 6.16s/it] 35%|███▌ | 1773/5000 [4:21:41<5:14:48, 5.85s/it] 35%|███▌ | 1774/5000 [4:21:46<5:05:05, 5.67s/it] 36%|███▌ | 1775/5000 [4:21:53<5:26:05, 6.07s/it] 36%|███▌ | 1775/5000 [4:21:53<5:26:05, 6.07s/it] 36%|███▌ | 1776/5000 [4:21:59<5:21:14, 5.98s/it] 36%|███▌ | 1777/5000 [4:22:04<5:08:51, 5.75s/it] 36%|███▌ | 1778/5000 [4:22:09<5:00:52, 5.60s/it] 36%|███▌ | 1779/5000 [4:22:15<4:55:11, 5.50s/it] 36%|███▌ | 1780/5000 [4:22:20<4:51:39, 5.43s/it] 36%|███▌ | 1781/5000 [4:22:29<5:45:30, 6.44s/it] 36%|███▌ | 1782/5000 [4:22:34<5:25:03, 6.06s/it] 36%|███▌ | 1783/5000 [4:22:39<5:12:21, 5.83s/it] 36%|███▌ | 1784/5000 [4:22:45<5:04:25, 5.68s/it] 36%|███▌ | 1785/5000 [4:22:50<4:54:57, 5.50s/it] 36%|███▌ | 1786/5000 [4:22:55<4:51:14, 5.44s/it] 36%|███▌ | 1787/5000 [4:23:00<4:48:05, 5.38s/it] 36%|███▌ | 1788/5000 [4:23:07<5:09:51, 5.79s/it] 36%|███▌ | 1789/5000 [4:23:12<5:02:39, 5.66s/it] 36%|███▌ | 1790/5000 [4:23:19<5:24:35, 6.07s/it] 36%|███▌ | 1791/5000 [4:23:25<5:11:41, 5.83s/it] 36%|███▌ | 1792/5000 [4:23:31<5:16:32, 5.92s/it] 36%|███▌ | 1793/5000 [4:23:37<5:22:27, 6.03s/it] 36%|███▌ | 1794/5000 [4:23:42<5:09:39, 5.80s/it] 36%|███▌ | 1795/5000 [4:23:47<5:01:17, 5.64s/it] 36%|███▌ | 1796/5000 [4:23:53<4:54:45, 5.52s/it] 36%|███▌ | 1797/5000 [4:24:03<6:12:47, 6.98s/it] 36%|███▌ | 1798/5000 [4:24:08<5:45:52, 6.48s/it] 36%|███▌ | 1799/5000 [4:24:14<5:25:16, 6.10s/it] 36%|███▌ | 1800/5000 [4:24:19<5:10:44, 5.83s/it] 36%|███▌ | 1800/5000 [4:24:19<5:10:44, 5.83s/it] 36%|███▌ | 1801/5000 [4:24:24<5:01:17, 5.65s/it] 36%|███▌ | 1802/5000 [4:24:30<5:13:52, 5.89s/it] 36%|███▌ | 1803/5000 [4:24:36<5:03:11, 5.69s/it] 36%|███▌ | 1804/5000 [4:24:41<4:56:46, 5.57s/it] 36%|███▌ | 1805/5000 [4:24:46<4:51:39, 5.48s/it] 36%|███▌ | 1806/5000 [4:24:52<4:49:59, 5.45s/it] 36%|███▌ | 1807/5000 [4:24:57<4:47:32, 5.40s/it] 36%|███▌ | 1808/5000 [4:25:02<4:47:50, 5.41s/it] 36%|███▌ | 1809/5000 [4:25:08<4:43:35, 5.33s/it] 36%|███▌ | 1810/5000 [4:25:15<5:15:58, 5.94s/it] 36%|███▌ | 1811/5000 [4:25:20<5:04:17, 5.73s/it] 36%|███▌ | 1812/5000 [4:25:25<4:56:12, 5.57s/it] 36%|███▋ | 1813/5000 [4:25:32<5:11:37, 5.87s/it] 36%|███▋ | 1814/5000 [4:25:40<5:53:26, 6.66s/it] 36%|███▋ | 1815/5000 [4:25:46<5:30:45, 6.23s/it] 36%|███▋ | 1816/5000 [4:25:51<5:14:49, 5.93s/it] 36%|███▋ | 1817/5000 [4:25:56<5:03:21, 5.72s/it] 36%|███▋ | 1818/5000 [4:26:02<5:03:38, 5.73s/it] 36%|███▋ | 1819/5000 [4:26:07<4:56:24, 5.59s/it] 36%|███▋ | 1820/5000 [4:26:12<4:50:35, 5.48s/it] 36%|███▋ | 1821/5000 [4:26:18<4:47:37, 5.43s/it] 36%|███▋ | 1822/5000 [4:26:23<4:43:22, 5.35s/it] 36%|███▋ | 1823/5000 [4:26:32<5:38:36, 6.39s/it] 36%|███▋ | 1824/5000 [4:26:37<5:19:39, 6.04s/it] 36%|███▋ | 1825/5000 [4:26:42<5:06:47, 5.80s/it] 36%|███▋ | 1825/5000 [4:26:42<5:06:47, 5.80s/it] 37%|███▋ | 1826/5000 [4:26:47<4:58:27, 5.64s/it] 37%|███▋ | 1827/5000 [4:26:53<4:52:21, 5.53s/it] 37%|███▋ | 1828/5000 [4:26:58<4:48:14, 5.45s/it] 37%|███▋ | 1829/5000 [4:27:03<4:45:28, 5.40s/it] 37%|███▋ | 1830/5000 [4:27:08<4:42:46, 5.35s/it] 37%|███▋ | 1831/5000 [4:27:14<4:42:18, 5.35s/it] 37%|███▋ | 1832/5000 [4:27:19<4:41:36, 5.33s/it] 37%|███▋ | 1833/5000 [4:27:24<4:42:02, 5.34s/it] 37%|███▋ | 1834/5000 [4:27:30<4:45:55, 5.42s/it] 37%|███▋ | 1835/5000 [4:27:35<4:43:32, 5.38s/it] 37%|███▋ | 1836/5000 [4:27:41<4:42:27, 5.36s/it] 37%|███▋ | 1837/5000 [4:27:47<5:00:32, 5.70s/it] 37%|███▋ | 1838/5000 [4:27:52<4:54:25, 5.59s/it] 37%|███▋ | 1839/5000 [4:27:58<4:50:47, 5.52s/it] 37%|███▋ | 1840/5000 [4:28:03<4:47:34, 5.46s/it] 37%|███▋ | 1841/5000 [4:28:09<4:50:56, 5.53s/it] 37%|███▋ | 1842/5000 [4:28:14<4:45:32, 5.43s/it] 37%|███▋ | 1843/5000 [4:28:19<4:43:18, 5.38s/it] 37%|███▋ | 1844/5000 [4:28:25<4:41:41, 5.36s/it] 37%|███▋ | 1845/5000 [4:28:30<4:40:12, 5.33s/it] 37%|███▋ | 1846/5000 [4:28:35<4:40:36, 5.34s/it] 37%|███▋ | 1847/5000 [4:28:40<4:39:53, 5.33s/it] 37%|███▋ | 1848/5000 [4:28:46<4:37:40, 5.29s/it] 37%|███▋ | 1849/5000 [4:28:52<4:59:04, 5.69s/it] 37%|███▋ | 1850/5000 [4:28:58<4:51:42, 5.56s/it] 37%|███▋ | 1850/5000 [4:28:58<4:51:42, 5.56s/it] 37%|███▋ | 1851/5000 [4:29:08<6:03:05, 6.92s/it] 37%|███▋ | 1852/5000 [4:29:13<5:34:40, 6.38s/it] 37%|███▋ | 1853/5000 [4:29:18<5:14:07, 5.99s/it] 37%|███▋ | 1854/5000 [4:29:23<4:59:32, 5.71s/it] 37%|███▋ | 1855/5000 [4:29:28<4:49:26, 5.52s/it] 37%|███▋ | 1856/5000 [4:29:33<4:42:27, 5.39s/it] 37%|███▋ | 1857/5000 [4:29:38<4:37:42, 5.30s/it] 37%|███▋ | 1858/5000 [4:29:43<4:34:24, 5.24s/it] 37%|███▋ | 1859/5000 [4:29:48<4:31:41, 5.19s/it] 37%|███▋ | 1860/5000 [4:29:53<4:30:08, 5.16s/it] 37%|███▋ | 1861/5000 [4:29:58<4:28:34, 5.13s/it] 37%|███▋ | 1862/5000 [4:30:04<4:27:24, 5.11s/it] 37%|███▋ | 1863/5000 [4:30:09<4:26:48, 5.10s/it] 37%|███▋ | 1864/5000 [4:30:14<4:26:50, 5.11s/it] 37%|███▋ | 1865/5000 [4:30:19<4:26:52, 5.11s/it] 37%|███▋ | 1866/5000 [4:30:24<4:26:54, 5.11s/it] 37%|███▋ | 1867/5000 [4:30:29<4:26:51, 5.11s/it] 37%|███▋ | 1868/5000 [4:30:34<4:26:09, 5.10s/it] 37%|███▋ | 1869/5000 [4:30:39<4:26:05, 5.10s/it] 37%|███▋ | 1870/5000 [4:30:44<4:26:14, 5.10s/it] 37%|███▋ | 1871/5000 [4:30:50<4:26:43, 5.11s/it] 37%|███▋ | 1872/5000 [4:30:55<4:27:26, 5.13s/it] 37%|███▋ | 1873/5000 [4:31:00<4:28:30, 5.15s/it] 37%|███▋ | 1874/5000 [4:31:05<4:28:18, 5.15s/it] 38%|███▊ | 1875/5000 [4:31:11<4:42:20, 5.42s/it] 38%|███▊ | 1875/5000 [4:31:11<4:42:20, 5.42s/it] 38%|███▊ | 1876/5000 [4:31:16<4:40:57, 5.40s/it] 38%|███▊ | 1877/5000 [4:31:22<4:40:37, 5.39s/it] 38%|███▊ | 1878/5000 [4:31:27<4:42:26, 5.43s/it] 38%|███▊ | 1879/5000 [4:31:33<4:40:17, 5.39s/it] 38%|███▊ | 1880/5000 [4:31:41<5:33:53, 6.42s/it] 38%|███▊ | 1881/5000 [4:31:47<5:16:23, 6.09s/it] 38%|███▊ | 1882/5000 [4:31:52<5:05:32, 5.88s/it] 38%|███▊ | 1883/5000 [4:31:57<4:57:03, 5.72s/it] 38%|███▊ | 1884/5000 [4:32:03<4:50:56, 5.60s/it] 38%|███▊ | 1885/5000 [4:32:08<4:47:20, 5.53s/it] 38%|███▊ | 1886/5000 [4:32:14<4:44:22, 5.48s/it] 38%|███▊ | 1887/5000 [4:32:19<4:41:58, 5.43s/it] 38%|███▊ | 1888/5000 [4:32:24<4:40:37, 5.41s/it] 38%|███▊ | 1889/5000 [4:32:30<4:39:32, 5.39s/it] 38%|███▊ | 1890/5000 [4:32:35<4:39:03, 5.38s/it] 38%|███▊ | 1891/5000 [4:32:40<4:40:18, 5.41s/it] 38%|███▊ | 1892/5000 [4:32:47<4:57:01, 5.73s/it] 38%|███▊ | 1893/5000 [4:32:54<5:22:46, 6.23s/it] 38%|███▊ | 1894/5000 [4:33:00<5:09:06, 5.97s/it] 38%|███▊ | 1895/5000 [4:33:05<4:59:15, 5.78s/it] 38%|███▊ | 1896/5000 [4:33:10<4:53:09, 5.67s/it] 38%|███▊ | 1897/5000 [4:33:16<4:48:14, 5.57s/it] 38%|███▊ | 1898/5000 [4:33:21<4:46:43, 5.55s/it] 38%|███▊ | 1899/5000 [4:33:27<4:44:43, 5.51s/it] 38%|███▊ | 1900/5000 [4:33:32<4:43:25, 5.49s/it] 38%|███▊ | 1900/5000 [4:33:32<4:43:25, 5.49s/it] 38%|███▊ | 1901/5000 [4:33:37<4:39:33, 5.41s/it] 38%|███▊ | 1902/5000 [4:33:43<4:38:13, 5.39s/it] 38%|███▊ | 1903/5000 [4:33:48<4:38:31, 5.40s/it] 38%|███▊ | 1904/5000 [4:33:53<4:37:03, 5.37s/it] 38%|███▊ | 1905/5000 [4:34:00<4:55:12, 5.72s/it] 38%|███▊ | 1906/5000 [4:34:08<5:26:19, 6.33s/it] 38%|███▊ | 1907/5000 [4:34:13<5:11:14, 6.04s/it] 38%|███▊ | 1908/5000 [4:34:19<5:08:47, 5.99s/it] 38%|███▊ | 1909/5000 [4:34:25<5:06:05, 5.94s/it] 38%|███▊ | 1910/5000 [4:34:30<4:56:50, 5.76s/it] 38%|███▊ | 1911/5000 [4:34:35<4:50:36, 5.64s/it] 38%|███▊ | 1912/5000 [4:34:41<4:45:39, 5.55s/it] 38%|███▊ | 1913/5000 [4:34:46<4:40:37, 5.45s/it] 38%|███▊ | 1914/5000 [4:34:51<4:38:47, 5.42s/it] 38%|███▊ | 1915/5000 [4:34:57<4:37:38, 5.40s/it] 38%|███▊ | 1916/5000 [4:35:02<4:37:31, 5.40s/it] 38%|███▊ | 1917/5000 [4:35:07<4:37:05, 5.39s/it] 38%|███▊ | 1918/5000 [4:35:13<4:36:48, 5.39s/it] 38%|███▊ | 1919/5000 [4:35:18<4:35:21, 5.36s/it] 38%|███▊ | 1920/5000 [4:35:24<4:35:52, 5.37s/it] 38%|███▊ | 1921/5000 [4:35:30<4:46:23, 5.58s/it] 38%|███▊ | 1922/5000 [4:35:35<4:42:27, 5.51s/it] 38%|███▊ | 1923/5000 [4:35:43<5:26:36, 6.37s/it] 38%|███▊ | 1924/5000 [4:35:49<5:09:16, 6.03s/it] 38%|███▊ | 1925/5000 [4:35:54<4:59:05, 5.84s/it] 38%|███▊ | 1925/5000 [4:35:54<4:59:05, 5.84s/it] 39%|███▊ | 1926/5000 [4:35:59<4:50:41, 5.67s/it] 39%|███▊ | 1927/5000 [4:36:04<4:43:48, 5.54s/it] 39%|███▊ | 1928/5000 [4:36:10<4:40:56, 5.49s/it] 39%|███▊ | 1929/5000 [4:36:18<5:16:58, 6.19s/it] 39%|███▊ | 1930/5000 [4:36:23<5:02:04, 5.90s/it] 39%|███▊ | 1931/5000 [4:36:28<4:51:35, 5.70s/it] 39%|███▊ | 1932/5000 [4:36:35<5:14:08, 6.14s/it] 39%|███▊ | 1933/5000 [4:36:41<5:02:08, 5.91s/it] 39%|███▊ | 1934/5000 [4:36:46<4:53:01, 5.73s/it] 39%|███▊ | 1935/5000 [4:36:51<4:44:24, 5.57s/it] 39%|███▊ | 1936/5000 [4:36:57<4:42:55, 5.54s/it] 39%|███▊ | 1937/5000 [4:37:02<4:40:32, 5.50s/it] 39%|███▉ | 1938/5000 [4:37:07<4:38:19, 5.45s/it] 39%|███▉ | 1939/5000 [4:37:13<4:36:12, 5.41s/it] 39%|███▉ | 1940/5000 [4:37:18<4:31:55, 5.33s/it] 39%|███▉ | 1941/5000 [4:37:23<4:30:45, 5.31s/it] 39%|███▉ | 1942/5000 [4:37:28<4:30:33, 5.31s/it] 39%|███▉ | 1943/5000 [4:37:34<4:30:37, 5.31s/it] 39%|███▉ | 1944/5000 [4:37:39<4:28:40, 5.28s/it] 39%|███▉ | 1945/5000 [4:37:45<4:38:19, 5.47s/it] 39%|███▉ | 1946/5000 [4:37:50<4:35:58, 5.42s/it] 39%|███▉ | 1947/5000 [4:37:56<4:34:29, 5.39s/it] 39%|███▉ | 1948/5000 [4:38:01<4:31:21, 5.33s/it] 39%|███▉ | 1949/5000 [4:38:06<4:30:08, 5.31s/it] 39%|███▉ | 1950/5000 [4:38:11<4:28:12, 5.28s/it] 39%|███▉ | 1950/5000 [4:38:11<4:28:12, 5.28s/it] 39%|███▉ | 1951/5000 [4:38:16<4:26:48, 5.25s/it] 39%|███▉ | 1952/5000 [4:38:23<4:54:49, 5.80s/it] 39%|███▉ | 1953/5000 [4:38:29<4:46:35, 5.64s/it] 39%|███▉ | 1954/5000 [4:38:34<4:40:56, 5.53s/it] 39%|███▉ | 1955/5000 [4:38:39<4:40:14, 5.52s/it] 39%|███▉ | 1956/5000 [4:38:45<4:33:56, 5.40s/it] 39%|███▉ | 1957/5000 [4:38:50<4:32:09, 5.37s/it] 39%|███▉ | 1958/5000 [4:38:55<4:30:17, 5.33s/it] 39%|███▉ | 1959/5000 [4:39:00<4:30:08, 5.33s/it] 39%|███▉ | 1960/5000 [4:39:06<4:28:34, 5.30s/it] 39%|███▉ | 1961/5000 [4:39:15<5:27:10, 6.46s/it] 39%|███▉ | 1962/5000 [4:39:20<5:14:29, 6.21s/it] 39%|███▉ | 1963/5000 [4:39:26<4:59:03, 5.91s/it] 39%|███▉ | 1964/5000 [4:39:31<4:48:48, 5.71s/it] 39%|███▉ | 1965/5000 [4:39:36<4:43:53, 5.61s/it] 39%|███▉ | 1966/5000 [4:39:42<4:39:03, 5.52s/it] 39%|███▉ | 1967/5000 [4:39:47<4:36:01, 5.46s/it] 39%|███▉ | 1968/5000 [4:39:54<4:58:58, 5.92s/it] 39%|███▉ | 1969/5000 [4:39:59<4:47:58, 5.70s/it] 39%|███▉ | 1970/5000 [4:40:04<4:41:28, 5.57s/it] 39%|███▉ | 1971/5000 [4:40:10<4:36:53, 5.48s/it] 39%|███▉ | 1972/5000 [4:40:15<4:33:08, 5.41s/it] 39%|███▉ | 1973/5000 [4:40:20<4:31:51, 5.39s/it] 39%|███▉ | 1974/5000 [4:40:25<4:27:29, 5.30s/it] 40%|███▉ | 1975/5000 [4:40:31<4:26:49, 5.29s/it] 40%|███▉ | 1975/5000 [4:40:31<4:26:49, 5.29s/it] 40%|███▉ | 1976/5000 [4:40:36<4:25:54, 5.28s/it] 40%|███▉ | 1977/5000 [4:40:41<4:25:08, 5.26s/it] 40%|███▉ | 1978/5000 [4:40:46<4:23:40, 5.24s/it] 40%|███▉ | 1979/5000 [4:40:52<4:34:23, 5.45s/it] 40%|███▉ | 1980/5000 [4:40:58<4:32:37, 5.42s/it] 40%|███▉ | 1981/5000 [4:41:03<4:31:07, 5.39s/it] 40%|███▉ | 1982/5000 [4:41:08<4:31:02, 5.39s/it] 40%|███▉ | 1983/5000 [4:41:14<4:33:52, 5.45s/it] 40%|███▉ | 1984/5000 [4:41:20<4:42:42, 5.62s/it] 40%|███▉ | 1985/5000 [4:41:25<4:37:48, 5.53s/it] 40%|███▉ | 1986/5000 [4:41:30<4:33:02, 5.44s/it] 40%|███▉ | 1987/5000 [4:41:37<4:52:25, 5.82s/it] 40%|███▉ | 1988/5000 [4:41:42<4:43:21, 5.64s/it] 40%|███▉ | 1989/5000 [4:41:48<4:37:07, 5.52s/it] 40%|███▉ | 1990/5000 [4:41:53<4:32:25, 5.43s/it] 40%|███▉ | 1991/5000 [4:41:59<4:45:35, 5.69s/it] 40%|███▉ | 1992/5000 [4:42:07<5:12:23, 6.23s/it] 40%|███▉ | 1993/5000 [4:42:12<4:57:11, 5.93s/it] 40%|███▉ | 1994/5000 [4:42:17<4:46:30, 5.72s/it] 40%|███▉ | 1995/5000 [4:42:22<4:39:07, 5.57s/it] 40%|███▉ | 1996/5000 [4:42:29<4:53:51, 5.87s/it] 40%|███▉ | 1997/5000 [4:42:34<4:44:25, 5.68s/it] 40%|███▉ | 1998/5000 [4:42:39<4:36:50, 5.53s/it] 40%|███▉ | 1999/5000 [4:42:45<4:32:04, 5.44s/it] 40%|████ | 2000/5000 [4:42:50<4:26:51, 5.34s/it] 40%|████ | 2000/5000 [4:42:50<4:26:51, 5.34s/it][INFO|trainer.py:2956] 2022-12-12 18:18:18,193 >> ***** Running Evaluation ***** [INFO|trainer.py:2960] 2022-12-12 18:18:18,193 >> Num examples: Unknown [INFO|trainer.py:2961] 2022-12-12 18:18:18,193 >> Batch size = 16 [INFO|trainer_utils.py:689] 2022-12-12 18:18:33,012 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 40%|████ | 2000/5000 [6:18:14<4:26:51, 5.34s/it][INFO|trainer.py:2701] 2022-12-12 19:53:42,501 >> Saving model checkpoint to ./checkpoint-2000 [INFO|configuration_utils.py:447] 2022-12-12 19:53:42,502 >> Configuration saved in ./checkpoint-2000/config.json [INFO|modeling_utils.py:1671] 2022-12-12 19:53:45,040 >> Model weights saved in ./checkpoint-2000/pytorch_model.bin [INFO|feature_extraction_utils.py:368] 2022-12-12 19:53:45,054 >> Feature extractor saved in ./checkpoint-2000/preprocessor_config.json [INFO|feature_extraction_utils.py:368] 2022-12-12 19:53:54,909 >> Feature extractor saved in ./preprocessor_config.json Adding files tracked by Git LFS: ['.training.log.swp']. This may take a bit of time if the files are large. {'loss': 1.1559, 'learning_rate': 1.0999999999999999e-07, 'epoch': 0.01} {'loss': 1.0819, 'learning_rate': 2.3499999999999997e-07, 'epoch': 0.01} {'loss': 1.0972, 'learning_rate': 3.6e-07, 'epoch': 0.01} {'loss': 0.6589, 'learning_rate': 4.85e-07, 'epoch': 0.02} {'loss': 0.385, 'learning_rate': 6.1e-07, 'epoch': 0.03} {'loss': 0.3134, 'learning_rate': 7.35e-07, 'epoch': 0.03} {'loss': 0.2344, 'learning_rate': 8.599999999999999e-07, 'epoch': 0.04} {'loss': 0.1881, 'learning_rate': 9.849999999999999e-07, 'epoch': 0.04} {'loss': 0.1845, 'learning_rate': 9.954166666666665e-07, 'epoch': 0.04} {'loss': 0.1956, 'learning_rate': 9.902083333333334e-07, 'epoch': 0.05} {'loss': 0.2658, 'learning_rate': 9.849999999999999e-07, 'epoch': 0.06} {'loss': 0.2565, 'learning_rate': 9.797916666666666e-07, 'epoch': 0.06} {'loss': 0.1868, 'learning_rate': 9.745833333333332e-07, 'epoch': 0.07} {'loss': 0.1813, 'learning_rate': 9.69375e-07, 'epoch': 0.07} {'loss': 0.171, 'learning_rate': 9.641666666666666e-07, 'epoch': 0.07} {'loss': 0.1544, 'learning_rate': 9.589583333333333e-07, 'epoch': 0.08} {'loss': 0.1405, 'learning_rate': 9.5375e-07, 'epoch': 0.09} {'loss': 0.1319, 'learning_rate': 9.485416666666665e-07, 'epoch': 0.09} {'loss': 0.1238, 'learning_rate': 9.433333333333333e-07, 'epoch': 0.1} {'loss': 0.1684, 'learning_rate': 9.381249999999999e-07, 'epoch': 0.1} {'loss': 0.1457, 'learning_rate': 9.329166666666666e-07, 'epoch': 0.1} {'loss': 0.1541, 'learning_rate': 9.277083333333333e-07, 'epoch': 0.11} {'loss': 0.1446, 'learning_rate': 9.225e-07, 'epoch': 0.12} {'loss': 0.1505, 'learning_rate': 9.172916666666665e-07, 'epoch': 0.12} {'loss': 0.1302, 'learning_rate': 9.120833333333333e-07, 'epoch': 0.12} {'loss': 0.1252, 'learning_rate': 9.068749999999999e-07, 'epoch': 0.13} {'loss': 0.1189, 'learning_rate': 9.016666666666666e-07, 'epoch': 0.14} {'loss': 0.0963, 'learning_rate': 8.964583333333334e-07, 'epoch': 0.14} {'loss': 0.1079, 'learning_rate': 8.912499999999999e-07, 'epoch': 0.14} {'loss': 0.1146, 'learning_rate': 8.860416666666666e-07, 'epoch': 0.15} {'loss': 0.1309, 'learning_rate': 8.808333333333333e-07, 'epoch': 0.15} {'loss': 0.1416, 'learning_rate': 8.75625e-07, 'epoch': 0.16} {'loss': 0.1375, 'learning_rate': 8.704166666666666e-07, 'epoch': 0.17} {'loss': 0.1466, 'learning_rate': 8.652083333333333e-07, 'epoch': 0.17} {'loss': 0.1319, 'learning_rate': 8.599999999999999e-07, 'epoch': 0.17} {'loss': 0.1746, 'learning_rate': 8.547916666666666e-07, 'epoch': 0.18} {'loss': 0.1136, 'learning_rate': 8.495833333333333e-07, 'epoch': 0.18} {'loss': 0.1489, 'learning_rate': 8.44375e-07, 'epoch': 0.19} {'loss': 0.1595, 'learning_rate': 8.391666666666665e-07, 'epoch': 0.2} {'loss': 0.111, 'learning_rate': 8.339583333333333e-07, 'epoch': 0.2} {'eval_loss': 0.17858517169952393, 'eval_wer': 11.006301245065291, 'eval_runtime': 5741.3045, 'eval_samples_per_second': 1.767, 'eval_steps_per_second': 0.11, 'epoch': 0.2} {'loss': 0.1149, 'learning_rate': 8.287499999999999e-07, 'epoch': 0.2} {'loss': 0.1357, 'learning_rate': 8.235416666666666e-07, 'epoch': 0.21} {'loss': 0.1384, 'learning_rate': 8.183333333333334e-07, 'epoch': 0.21} {'loss': 0.1582, 'learning_rate': 8.131249999999999e-07, 'epoch': 0.22} {'loss': 0.127, 'learning_rate': 8.079166666666666e-07, 'epoch': 0.23} {'loss': 0.1662, 'learning_rate': 8.027083333333333e-07, 'epoch': 0.23} {'loss': 0.2069, 'learning_rate': 7.975e-07, 'epoch': 0.23} {'loss': 0.1952, 'learning_rate': 7.922916666666666e-07, 'epoch': 0.24} {'loss': 0.1762, 'learning_rate': 7.870833333333334e-07, 'epoch': 1.0} {'loss': 0.1636, 'learning_rate': 7.818749999999999e-07, 'epoch': 1.01} {'loss': 0.1493, 'learning_rate': 7.766666666666666e-07, 'epoch': 1.01} {'loss': 0.13, 'learning_rate': 7.714583333333333e-07, 'epoch': 1.02} {'loss': 0.1344, 'learning_rate': 7.6625e-07, 'epoch': 1.02} {'loss': 0.1469, 'learning_rate': 7.610416666666665e-07, 'epoch': 1.03} {'loss': 0.1152, 'learning_rate': 7.558333333333333e-07, 'epoch': 1.03} {'loss': 0.1054, 'learning_rate': 7.506249999999999e-07, 'epoch': 1.04} {'loss': 0.1041, 'learning_rate': 7.454166666666666e-07, 'epoch': 1.04} {'loss': 0.1171, 'learning_rate': 7.402083333333334e-07, 'epoch': 1.05} {'loss': 0.1058, 'learning_rate': 7.35e-07, 'epoch': 1.05} {'loss': 0.1024, 'learning_rate': 7.297916666666666e-07, 'epoch': 1.06} {'loss': 0.0953, 'learning_rate': 7.245833333333333e-07, 'epoch': 1.06} {'loss': 0.0971, 'learning_rate': 7.19375e-07, 'epoch': 1.07} {'loss': 0.1032, 'learning_rate': 7.141666666666666e-07, 'epoch': 1.07} {'loss': 0.1175, 'learning_rate': 7.089583333333334e-07, 'epoch': 1.08} {'loss': 0.1012, 'learning_rate': 7.037499999999999e-07, 'epoch': 1.08} {'loss': 0.0899, 'learning_rate': 6.985416666666666e-07, 'epoch': 1.09} {'loss': 0.0885, 'learning_rate': 6.933333333333333e-07, 'epoch': 1.09} {'loss': 0.0887, 'learning_rate': 6.88125e-07, 'epoch': 1.1} {'loss': 0.1024, 'learning_rate': 6.829166666666666e-07, 'epoch': 1.1} {'loss': 0.1049, 'learning_rate': 6.777083333333333e-07, 'epoch': 1.11} {'loss': 0.1015, 'learning_rate': 6.724999999999999e-07, 'epoch': 1.11} {'loss': 0.1047, 'learning_rate': 6.672916666666666e-07, 'epoch': 1.12} {'loss': 0.1006, 'learning_rate': 6.620833333333333e-07, 'epoch': 1.12} {'loss': 0.1186, 'learning_rate': 6.56875e-07, 'epoch': 1.13} {'loss': 0.1512, 'learning_rate': 6.516666666666666e-07, 'epoch': 1.13} {'loss': 0.1514, 'learning_rate': 6.464583333333333e-07, 'epoch': 1.14} {'loss': 0.1276, 'learning_rate': 6.4125e-07, 'epoch': 1.14} {'loss': 0.117, 'learning_rate': 6.360416666666666e-07, 'epoch': 1.15} {'loss': 0.0986, 'learning_rate': 6.308333333333334e-07, 'epoch': 1.15} {'loss': 0.0961, 'learning_rate': 6.256249999999999e-07, 'epoch': 1.16} {'eval_loss': 0.17186188697814941, 'eval_wer': 10.590646826601882, 'eval_runtime': 5724.307, 'eval_samples_per_second': 1.772, 'eval_steps_per_second': 0.111, 'epoch': 1.16} 12/12/2022 19:55:06 - WARNING - huggingface_hub.repository - Adding files tracked by Git LFS: ['.training.log.swp']. This may take a bit of time if the files are large. 40%|████ | 2001/5000 [6:20:01<1460:24:44, 1753.08s/it] 40%|████ | 2002/5000 [6:20:08<1023:41:43, 1229.25s/it] 40%|████ | 2003/5000 [6:20:16<718:25:27, 862.97s/it] 40%|████ | 2004/5000 [6:20:24<504:37:42, 606.36s/it] 40%|████ | 2005/5000 [6:20:30<354:48:09, 426.47s/it] 40%|████ | 2006/5000 [6:20:39<250:17:45, 300.96s/it] 40%|████ | 2007/5000 [6:20:46<177:03:18, 212.96s/it] 40%|████ | 2008/5000 [6:20:52<125:24:53, 150.90s/it] 40%|████ | 2009/5000 [6:20:58<89:18:12, 107.49s/it] 40%|████ | 2010/5000 [6:21:06<64:18:41, 77.43s/it] 40%|████ | 2011/5000 [6:21:12<46:31:46, 56.04s/it] 40%|████ | 2012/5000 [6:21:19<34:18:10, 41.33s/it] 40%|████ | 2013/5000 [6:21:25<25:24:59, 30.63s/it] 40%|████ | 2014/5000 [6:21:33<19:46:12, 23.84s/it] 40%|████ | 2015/5000 [6:21:40<15:42:29, 18.94s/it] 40%|████ | 2016/5000 [6:21:52<13:55:20, 16.80s/it] 40%|████ | 2017/5000 [6:21:57<11:04:32, 13.37s/it] 40%|████ | 2018/5000 [6:22:06<9:54:51, 11.97s/it] 40%|████ | 2019/5000 [6:22:13<8:37:21, 10.41s/it] 40%|████ | 2020/5000 [6:22:18<7:22:29, 8.91s/it] 40%|████ | 2021/5000 [6:22:23<6:28:40, 7.83s/it] 40%|████ | 2022/5000 [6:22:31<6:23:50, 7.73s/it] 40%|████ | 2023/5000 [6:22:37<6:06:42, 7.39s/it] 40%|████ | 2024/5000 [6:22:43<5:42:01, 6.90s/it] 40%|████ | 2025/5000 [6:22:48<5:16:49, 6.39s/it] 40%|████ | 2025/5000 [6:22:48<5:16:49, 6.39s/it] 41%|████ | 2026/5000 [6:22:55<5:25:57, 6.58s/it] 41%|████ | 2027/5000 [6:23:01<5:05:19, 6.16s/it] 41%|████ | 2028/5000 [6:23:06<4:51:33, 5.89s/it] 41%|████ | 2029/5000 [6:23:11<4:42:00, 5.70s/it] 41%|████ | 2030/5000 [6:23:16<4:36:16, 5.58s/it] 41%|████ | 2031/5000 [6:23:22<4:29:38, 5.45s/it] 41%|████ | 2032/5000 [6:23:27<4:26:53, 5.40s/it] 41%|████ | 2033/5000 [6:23:32<4:23:33, 5.33s/it] 41%|████ | 2034/5000 [6:23:37<4:22:00, 5.30s/it] 41%|████ | 2035/5000 [6:23:43<4:21:25, 5.29s/it] 41%|████ | 2036/5000 [6:23:48<4:20:04, 5.26s/it] 41%|████ | 2037/5000 [6:23:53<4:24:30, 5.36s/it] 41%|████ | 2038/5000 [6:23:59<4:22:39, 5.32s/it] 41%|████ | 2039/5000 [6:24:04<4:30:20, 5.48s/it] 41%|████ | 2040/5000 [6:24:10<4:26:56, 5.41s/it] 41%|████ | 2041/5000 [6:24:15<4:24:54, 5.37s/it] 41%|████ | 2042/5000 [6:24:20<4:20:43, 5.29s/it] 41%|████ | 2043/5000 [6:24:25<4:18:28, 5.24s/it] 41%|████ | 2044/5000 [6:24:30<4:18:31, 5.25s/it] 41%|████ | 2045/5000 [6:24:36<4:17:12, 5.22s/it] 41%|████ | 2046/5000 [6:24:41<4:18:49, 5.26s/it] 41%|████ | 2047/5000 [6:24:46<4:17:35, 5.23s/it] 41%|████ | 2048/5000 [6:24:51<4:17:51, 5.24s/it] 41%|████ | 2049/5000 [6:24:57<4:26:59, 5.43s/it] 41%|████ | 2050/5000 [6:25:03<4:24:40, 5.38s/it] 41%|████ | 2050/5000 [6:25:03<4:24:40, 5.38s/it] 41%|████ | 2051/5000 [6:25:08<4:22:36, 5.34s/it] 41%|████ | 2052/5000 [6:25:13<4:21:57, 5.33s/it] 41%|████ | 2053/5000 [6:25:19<4:25:50, 5.41s/it] 41%|████ | 2054/5000 [6:25:26<4:51:24, 5.94s/it] 41%|████ | 2055/5000 [6:25:32<4:53:37, 5.98s/it] 41%|████ | 2056/5000 [6:25:37<4:43:24, 5.78s/it] 41%|████ | 2057/5000 [6:25:42<4:33:53, 5.58s/it] 41%|████ | 2058/5000 [6:25:48<4:28:59, 5.49s/it] 41%|████ | 2059/5000 [6:25:53<4:24:30, 5.40s/it] 41%|████ | 2060/5000 [6:25:58<4:22:32, 5.36s/it] 41%|████ | 2061/5000 [6:26:03<4:21:06, 5.33s/it] 41%|████ | 2062/5000 [6:26:11<4:52:15, 5.97s/it] 41%|████▏ | 2063/5000 [6:26:16<4:43:00, 5.78s/it] 41%|████▏ | 2064/5000 [6:26:21<4:35:35, 5.63s/it] 41%|████▏ | 2065/5000 [6:26:28<4:53:05, 5.99s/it] 41%|████▏ | 2066/5000 [6:26:36<5:18:33, 6.51s/it] 41%|████▏ | 2067/5000 [6:26:41<5:03:47, 6.21s/it] 41%|████▏ | 2068/5000 [6:26:47<4:49:10, 5.92s/it] 41%|████▏ | 2069/5000 [6:26:53<4:58:14, 6.11s/it] 41%|████▏ | 2070/5000 [6:26:58<4:45:21, 5.84s/it] 41%|████▏ | 2071/5000 [6:27:09<5:54:18, 7.26s/it] 41%|████▏ | 2072/5000 [6:27:14<5:25:22, 6.67s/it] 41%|████▏ | 2073/5000 [6:27:20<5:05:15, 6.26s/it] 41%|████▏ | 2074/5000 [6:27:25<4:49:24, 5.93s/it] 42%|████▏ | 2075/5000 [6:27:30<4:39:32, 5.73s/it] 42%|████▏ | 2075/5000 [6:27:30<4:39:32, 5.73s/it] 42%|████▏ | 2076/5000 [6:27:36<4:41:48, 5.78s/it] 42%|████▏ | 2077/5000 [6:27:44<5:09:18, 6.35s/it] 42%|████▏ | 2078/5000 [6:27:49<4:52:59, 6.02s/it] 42%|████▏ | 2079/5000 [6:27:54<4:40:58, 5.77s/it] 42%|████▏ | 2080/5000 [6:27:59<4:32:12, 5.59s/it] 42%|████▏ | 2081/5000 [6:28:05<4:27:12, 5.49s/it] 42%|████▏ | 2082/5000 [6:28:10<4:23:47, 5.42s/it] 42%|████▏ | 2083/5000 [6:28:16<4:36:18, 5.68s/it] 42%|████▏ | 2084/5000 [6:28:21<4:29:53, 5.55s/it] 42%|████▏ | 2085/5000 [6:28:27<4:25:31, 5.47s/it] 42%|████▏ | 2086/5000 [6:28:32<4:21:55, 5.39s/it] 42%|████▏ | 2087/5000 [6:28:37<4:22:41, 5.41s/it] 42%|████▏ | 2088/5000 [6:28:43<4:22:49, 5.42s/it] 42%|████▏ | 2089/5000 [6:28:50<4:45:14, 5.88s/it] 42%|████▏ | 2090/5000 [6:28:55<4:36:15, 5.70s/it] 42%|████▏ | 2091/5000 [6:29:00<4:29:31, 5.56s/it] 42%|████▏ | 2092/5000 [6:29:05<4:22:41, 5.42s/it] 42%|████▏ | 2093/5000 [6:29:10<4:19:15, 5.35s/it] 42%|████▏ | 2094/5000 [6:29:16<4:17:54, 5.33s/it] 42%|████▏ | 2095/5000 [6:29:21<4:15:07, 5.27s/it] 42%|████▏ | 2096/5000 [6:29:27<4:22:28, 5.42s/it] 42%|████▏ | 2097/5000 [6:29:32<4:19:42, 5.37s/it] 42%|████▏ | 2098/5000 [6:29:37<4:17:55, 5.33s/it] 42%|████▏ | 2099/5000 [6:29:42<4:14:51, 5.27s/it] 42%|████▏ | 2100/5000 [6:29:47<4:13:22, 5.24s/it] 42%|████▏ | 2100/5000 [6:29:47<4:13:22, 5.24s/it] 42%|████▏ | 2101/5000 [6:29:53<4:12:40, 5.23s/it] 42%|████▏ | 2102/5000 [6:29:58<4:11:35, 5.21s/it] 42%|████▏ | 2103/5000 [6:30:03<4:12:34, 5.23s/it] 42%|████▏ | 2104/5000 [6:30:08<4:11:05, 5.20s/it] 42%|████▏ | 2105/5000 [6:30:13<4:11:29, 5.21s/it] 42%|████▏ | 2106/5000 [6:30:19<4:11:55, 5.22s/it] 42%|████▏ | 2107/5000 [6:30:24<4:11:06, 5.21s/it] 42%|████▏ | 2108/5000 [6:30:29<4:10:22, 5.19s/it] 42%|████▏ | 2109/5000 [6:30:34<4:10:39, 5.20s/it] 42%|████▏ | 2110/5000 [6:30:40<4:11:42, 5.23s/it] 42%|████▏ | 2111/5000 [6:30:45<4:12:28, 5.24s/it] 42%|████▏ | 2112/5000 [6:30:50<4:12:45, 5.25s/it] 42%|████▏ | 2113/5000 [6:30:55<4:11:59, 5.24s/it] 42%|████▏ | 2114/5000 [6:31:02<4:26:53, 5.55s/it] 42%|████▏ | 2115/5000 [6:31:07<4:22:28, 5.46s/it] 42%|████▏ | 2116/5000 [6:31:12<4:18:55, 5.39s/it] 42%|████▏ | 2117/5000 [6:31:18<4:20:52, 5.43s/it] 42%|████▏ | 2118/5000 [6:31:23<4:27:55, 5.58s/it] 42%|████▏ | 2119/5000 [6:31:29<4:23:34, 5.49s/it] 42%|████▏ | 2120/5000 [6:31:34<4:19:30, 5.41s/it] 42%|████▏ | 2121/5000 [6:31:39<4:16:25, 5.34s/it] 42%|████▏ | 2122/5000 [6:31:44<4:14:52, 5.31s/it] 42%|████▏ | 2123/5000 [6:31:50<4:16:53, 5.36s/it] 42%|████▏ | 2124/5000 [6:31:55<4:15:12, 5.32s/it] 42%|████▎ | 2125/5000 [6:32:00<4:14:17, 5.31s/it] 42%|████▎ | 2125/5000 [6:32:00<4:14:17, 5.31s/it] 43%|████▎ | 2126/5000 [6:32:08<4:51:53, 6.09s/it] 43%|████▎ | 2127/5000 [6:32:14<4:38:52, 5.82s/it] 43%|████▎ | 2128/5000 [6:32:19<4:29:17, 5.63s/it] 43%|████▎ | 2129/5000 [6:32:24<4:23:37, 5.51s/it] 43%|████▎ | 2130/5000 [6:32:29<4:18:17, 5.40s/it] 43%|████▎ | 2131/5000 [6:32:34<4:15:49, 5.35s/it] 43%|████▎ | 2132/5000 [6:32:39<4:13:02, 5.29s/it] 43%|████▎ | 2133/5000 [6:32:45<4:11:41, 5.27s/it] 43%|████▎ | 2134/5000 [6:32:50<4:11:29, 5.27s/it] 43%|████▎ | 2135/5000 [6:32:55<4:10:49, 5.25s/it] 43%|████▎ | 2136/5000 [6:33:00<4:09:10, 5.22s/it] 43%|████▎ | 2137/5000 [6:33:05<4:08:32, 5.21s/it] 43%|████▎ | 2138/5000 [6:33:11<4:09:06, 5.22s/it] 43%|████▎ | 2139/5000 [6:33:16<4:08:55, 5.22s/it] 43%|████▎ | 2140/5000 [6:33:21<4:09:19, 5.23s/it] 43%|████▎ | 2141/5000 [6:33:27<4:17:04, 5.40s/it] 43%|████▎ | 2142/5000 [6:33:32<4:15:00, 5.35s/it] 43%|████▎ | 2143/5000 [6:33:37<4:13:12, 5.32s/it] 43%|████▎ | 2144/5000 [6:33:43<4:14:16, 5.34s/it] 43%|████▎ | 2145/5000 [6:33:48<4:10:26, 5.26s/it] 43%|████▎ | 2146/5000 [6:33:53<4:10:00, 5.26s/it] 43%|████▎ | 2147/5000 [6:33:58<4:10:13, 5.26s/it] 43%|████▎ | 2148/5000 [6:34:04<4:18:48, 5.44s/it] 43%|████▎ | 2149/5000 [6:34:10<4:15:40, 5.38s/it] 43%|████▎ | 2150/5000 [6:34:15<4:13:29, 5.34s/it] 43%|████▎ | 2150/5000 [6:34:15<4:13:29, 5.34s/it] 43%|████▎ | 2151/5000 [6:34:20<4:12:03, 5.31s/it] 43%|████▎ | 2152/5000 [6:34:25<4:09:18, 5.25s/it] 43%|████▎ | 2153/5000 [6:34:30<4:08:14, 5.23s/it] 43%|████▎ | 2154/5000 [6:34:36<4:07:58, 5.23s/it] 43%|████▎ | 2155/5000 [6:34:41<4:08:22, 5.24s/it] 43%|████▎ | 2156/5000 [6:34:46<4:11:50, 5.31s/it] 43%|████▎ | 2157/5000 [6:34:52<4:10:10, 5.28s/it] 43%|████▎ | 2158/5000 [6:34:57<4:09:29, 5.27s/it] 43%|████▎ | 2159/5000 [6:35:02<4:09:20, 5.27s/it] 43%|████▎ | 2160/5000 [6:35:11<4:59:30, 6.33s/it] 43%|████▎ | 2161/5000 [6:35:17<4:57:24, 6.29s/it] 43%|████▎ | 2162/5000 [6:35:22<4:42:42, 5.98s/it] 43%|████▎ | 2163/5000 [6:35:27<4:31:09, 5.73s/it] 43%|████▎ | 2164/5000 [6:35:33<4:23:47, 5.58s/it] 43%|████▎ | 2165/5000 [6:35:38<4:17:26, 5.45s/it] 43%|████▎ | 2166/5000 [6:35:43<4:14:03, 5.38s/it] 43%|████▎ | 2167/5000 [6:35:48<4:12:07, 5.34s/it] 43%|████▎ | 2168/5000 [6:35:55<4:37:50, 5.89s/it] 43%|████▎ | 2169/5000 [6:36:02<4:42:47, 5.99s/it] 43%|████▎ | 2170/5000 [6:36:07<4:31:14, 5.75s/it] 43%|████▎ | 2171/5000 [6:36:12<4:23:48, 5.60s/it] 43%|████▎ | 2172/5000 [6:36:17<4:18:36, 5.49s/it] 43%|████▎ | 2173/5000 [6:36:22<4:13:05, 5.37s/it] 43%|████▎ | 2174/5000 [6:36:28<4:10:31, 5.32s/it] 44%|████▎ | 2175/5000 [6:36:33<4:09:04, 5.29s/it] 44%|████▎ | 2175/5000 [6:36:33<4:09:04, 5.29s/it] 44%|████▎ | 2176/5000 [6:36:39<4:24:55, 5.63s/it] 44%|████▎ | 2177/5000 [6:36:44<4:19:30, 5.52s/it] 44%|████▎ | 2178/5000 [6:36:50<4:15:35, 5.43s/it] 44%|████▎ | 2179/5000 [6:36:55<4:13:22, 5.39s/it] 44%|████▎ | 2180/5000 [6:37:00<4:11:10, 5.34s/it] 44%|████▎ | 2181/5000 [6:37:11<5:32:11, 7.07s/it] 44%|████▎ | 2182/5000 [6:37:17<5:06:00, 6.52s/it] 44%|████▎ | 2183/5000 [6:37:22<4:47:43, 6.13s/it] 44%|████▎ | 2184/5000 [6:37:27<4:39:00, 5.94s/it] 44%|████▎ | 2185/5000 [6:37:33<4:29:49, 5.75s/it] 44%|████▎ | 2186/5000 [6:37:38<4:23:28, 5.62s/it] 44%|████▎ | 2187/5000 [6:37:43<4:18:42, 5.52s/it] 44%|████▍ | 2188/5000 [6:37:48<4:13:23, 5.41s/it] 44%|████▍ | 2189/5000 [6:37:54<4:18:11, 5.51s/it] 44%|████▍ | 2190/5000 [6:37:59<4:13:52, 5.42s/it] 44%|████▍ | 2191/5000 [6:38:05<4:12:34, 5.39s/it] 44%|████▍ | 2192/5000 [6:38:10<4:09:29, 5.33s/it] 44%|████▍ | 2193/5000 [6:38:18<4:42:35, 6.04s/it] 44%|████▍ | 2194/5000 [6:38:23<4:32:41, 5.83s/it] 44%|████▍ | 2195/5000 [6:38:28<4:23:14, 5.63s/it] 44%|████▍ | 2196/5000 [6:38:33<4:17:22, 5.51s/it] 44%|████▍ | 2197/5000 [6:38:38<4:12:38, 5.41s/it] 44%|████▍ | 2198/5000 [6:38:44<4:19:44, 5.56s/it] 44%|████▍ | 2199/5000 [6:38:52<4:54:59, 6.32s/it] 44%|████▍ | 2200/5000 [6:38:58<4:45:37, 6.12s/it] 44%|████▍ | 2200/5000 [6:38:58<4:45:37, 6.12s/it] 44%|████▍ | 2201/5000 [6:39:04<4:36:14, 5.92s/it] 44%|████▍ | 2202/5000 [6:39:09<4:27:50, 5.74s/it] 44%|████▍ | 2203/5000 [6:39:14<4:21:47, 5.62s/it] 44%|████▍ | 2204/5000 [6:39:19<4:16:47, 5.51s/it] 44%|████▍ | 2205/5000 [6:39:25<4:13:27, 5.44s/it] 44%|████▍ | 2206/5000 [6:39:30<4:09:51, 5.37s/it] 44%|████▍ | 2207/5000 [6:39:35<4:08:46, 5.34s/it] 44%|████▍ | 2208/5000 [6:39:41<4:18:59, 5.57s/it] 44%|████▍ | 2209/5000 [6:39:47<4:15:56, 5.50s/it] 44%|████▍ | 2210/5000 [6:39:52<4:13:08, 5.44s/it] 44%|████▍ | 2211/5000 [6:39:57<4:13:00, 5.44s/it] 44%|████▍ | 2212/5000 [6:40:03<4:09:09, 5.36s/it] 44%|████▍ | 2213/5000 [6:40:08<4:05:24, 5.28s/it] 44%|████▍ | 2214/5000 [6:40:14<4:23:08, 5.67s/it] 44%|████▍ | 2215/5000 [6:40:20<4:17:13, 5.54s/it] 44%|████▍ | 2216/5000 [6:40:25<4:13:28, 5.46s/it] 44%|████▍ | 2217/5000 [6:40:30<4:10:11, 5.39s/it] 44%|████▍ | 2218/5000 [6:40:35<4:08:53, 5.37s/it] 44%|████▍ | 2219/5000 [6:40:43<4:40:08, 6.04s/it] 44%|████▍ | 2220/5000 [6:40:49<4:46:57, 6.19s/it] 44%|████▍ | 2221/5000 [6:40:55<4:34:40, 5.93s/it] 44%|████▍ | 2222/5000 [6:41:00<4:25:44, 5.74s/it] 44%|████▍ | 2223/5000 [6:41:05<4:20:10, 5.62s/it] 44%|████▍ | 2224/5000 [6:41:11<4:15:30, 5.52s/it] 44%|████▍ | 2225/5000 [6:41:16<4:11:58, 5.45s/it] 44%|████▍ | 2225/5000 [6:41:16<4:11:58, 5.45s/it] 45%|████▍ | 2226/5000 [6:41:21<4:08:45, 5.38s/it] 45%|████▍ | 2227/5000 [6:41:27<4:07:28, 5.35s/it] 45%|████▍ | 2228/5000 [6:41:32<4:10:59, 5.43s/it] 45%|████▍ | 2229/5000 [6:41:38<4:19:51, 5.63s/it] 45%|████▍ | 2230/5000 [6:41:44<4:15:20, 5.53s/it] 45%|████▍ | 2231/5000 [6:41:49<4:12:55, 5.48s/it] 45%|████▍ | 2232/5000 [6:41:54<4:09:21, 5.41s/it] 45%|████▍ | 2233/5000 [6:42:01<4:35:56, 5.98s/it] 45%|████▍ | 2234/5000 [6:42:07<4:24:47, 5.74s/it] 45%|████▍ | 2235/5000 [6:42:12<4:17:10, 5.58s/it] 45%|████▍ | 2236/5000 [6:42:25<5:58:21, 7.78s/it] 45%|████▍ | 2237/5000 [6:42:30<5:27:29, 7.11s/it] 45%|████▍ | 2238/5000 [6:42:36<5:01:51, 6.56s/it] 45%|████▍ | 2239/5000 [6:42:41<4:43:36, 6.16s/it] 45%|████▍ | 2240/5000 [6:42:47<4:37:46, 6.04s/it] 45%|████▍ | 2241/5000 [6:42:55<5:06:13, 6.66s/it] 45%|████▍ | 2242/5000 [6:43:00<4:47:13, 6.25s/it] 45%|████▍ | 2243/5000 [6:43:05<4:32:20, 5.93s/it] 45%|████▍ | 2244/5000 [6:43:10<4:23:13, 5.73s/it] 45%|████▍ | 2245/5000 [6:43:16<4:15:05, 5.56s/it] 45%|████▍ | 2246/5000 [6:43:21<4:10:16, 5.45s/it] 45%|████▍ | 2247/5000 [6:43:26<4:06:37, 5.38s/it] 45%|████▍ | 2248/5000 [6:43:31<4:04:38, 5.33s/it] 45%|████▍ | 2249/5000 [6:43:36<4:01:48, 5.27s/it] 45%|████▌ | 2250/5000 [6:43:42<4:01:47, 5.28s/it] 45%|████▌ | 2250/5000 [6:43:42<4:01:47, 5.28s/it] 45%|████▌ | 2251/5000 [6:43:47<4:09:08, 5.44s/it] 45%|████▌ | 2252/5000 [6:43:55<4:31:51, 5.94s/it] 45%|████▌ | 2253/5000 [6:44:00<4:22:12, 5.73s/it] 45%|████▌ | 2254/5000 [6:44:05<4:15:21, 5.58s/it] 45%|████▌ | 2255/5000 [6:44:10<4:10:43, 5.48s/it] 45%|████▌ | 2256/5000 [6:44:15<4:06:16, 5.39s/it] 45%|████▌ | 2257/5000 [6:44:21<4:03:52, 5.33s/it] 45%|████▌ | 2258/5000 [6:44:26<4:01:48, 5.29s/it] 45%|████▌ | 2259/5000 [6:44:31<4:01:22, 5.28s/it] 45%|████▌ | 2260/5000 [6:44:36<4:00:40, 5.27s/it] 45%|████▌ | 2261/5000 [6:44:42<4:01:28, 5.29s/it] 45%|████▌ | 2262/5000 [6:44:48<4:20:35, 5.71s/it] 45%|████▌ | 2263/5000 [6:44:54<4:13:47, 5.56s/it] 45%|████▌ | 2264/5000 [6:45:00<4:24:55, 5.81s/it] 45%|████▌ | 2265/5000 [6:45:05<4:16:35, 5.63s/it] 45%|████▌ | 2266/5000 [6:45:13<4:45:14, 6.26s/it] 45%|████▌ | 2267/5000 [6:45:18<4:31:57, 5.97s/it] 45%|████▌ | 2268/5000 [6:45:23<4:21:58, 5.75s/it] 45%|████▌ | 2269/5000 [6:45:29<4:15:03, 5.60s/it] 45%|████▌ | 2270/5000 [6:45:34<4:10:23, 5.50s/it] 45%|████▌ | 2271/5000 [6:45:39<4:06:42, 5.42s/it] 45%|████▌ | 2272/5000 [6:45:44<4:04:58, 5.39s/it] 45%|████▌ | 2273/5000 [6:45:50<4:03:13, 5.35s/it] 45%|████▌ | 2274/5000 [6:45:56<4:21:35, 5.76s/it] 46%|████▌ | 2275/5000 [6:46:02<4:13:36, 5.58s/it] 46%|████▌ | 2275/5000 [6:46:02<4:13:36, 5.58s/it] 46%|████▌ | 2276/5000 [6:46:08<4:23:45, 5.81s/it] 46%|████▌ | 2277/5000 [6:46:13<4:16:09, 5.64s/it] 46%|████▌ | 2278/5000 [6:46:19<4:10:53, 5.53s/it] 46%|████▌ | 2279/5000 [6:46:24<4:06:08, 5.43s/it] 46%|████▌ | 2280/5000 [6:46:29<4:03:19, 5.37s/it] 46%|████▌ | 2281/5000 [6:46:34<4:01:28, 5.33s/it] 46%|████▌ | 2282/5000 [6:46:39<4:00:16, 5.30s/it] 46%|████▌ | 2283/5000 [6:46:45<3:59:31, 5.29s/it] 46%|████▌ | 2284/5000 [6:46:52<4:31:30, 6.00s/it] 46%|████▌ | 2285/5000 [6:46:58<4:21:13, 5.77s/it] 46%|████▌ | 2286/5000 [6:47:03<4:13:56, 5.61s/it] 46%|████▌ | 2287/5000 [6:47:08<4:10:54, 5.55s/it] 46%|████▌ | 2288/5000 [6:47:13<4:06:40, 5.46s/it] 46%|████▌ | 2289/5000 [6:47:19<4:09:04, 5.51s/it] 46%|████▌ | 2290/5000 [6:47:24<4:05:21, 5.43s/it] 46%|████▌ | 2291/5000 [6:47:32<4:40:47, 6.22s/it] 46%|████▌ | 2292/5000 [6:47:38<4:27:20, 5.92s/it] 46%|████▌ | 2293/5000 [6:47:44<4:29:17, 5.97s/it] 46%|████▌ | 2294/5000 [6:47:49<4:17:13, 5.70s/it] 46%|████▌ | 2295/5000 [6:47:54<4:10:18, 5.55s/it] 46%|████▌ | 2296/5000 [6:47:59<4:05:48, 5.45s/it] 46%|████▌ | 2297/5000 [6:48:04<4:01:43, 5.37s/it] 46%|████▌ | 2298/5000 [6:48:10<4:00:36, 5.34s/it] 46%|████▌ | 2299/5000 [6:48:16<4:14:45, 5.66s/it] 46%|████▌ | 2300/5000 [6:48:21<4:09:25, 5.54s/it] 46%|████▌ | 2300/5000 [6:48:21<4:09:25, 5.54s/it] 46%|████▌ | 2301/5000 [6:48:27<4:05:59, 5.47s/it] 46%|████▌ | 2302/5000 [6:48:33<4:11:47, 5.60s/it] 46%|████▌ | 2303/5000 [6:48:38<4:07:20, 5.50s/it] 46%|████▌ | 2304/5000 [6:48:43<4:07:13, 5.50s/it] 46%|████▌ | 2305/5000 [6:48:49<4:03:59, 5.43s/it] 46%|████▌ | 2306/5000 [6:48:54<4:02:38, 5.40s/it] 46%|████▌ | 2307/5000 [6:49:00<4:08:56, 5.55s/it] 46%|████▌ | 2308/5000 [6:49:05<4:03:14, 5.42s/it] 46%|████▌ | 2309/5000 [6:49:10<4:01:14, 5.38s/it] 46%|████▌ | 2310/5000 [6:49:15<3:59:03, 5.33s/it] 46%|████▌ | 2311/5000 [6:49:22<4:14:10, 5.67s/it] 46%|████▌ | 2312/5000 [6:49:27<4:07:19, 5.52s/it] 46%|████▋ | 2313/5000 [6:49:33<4:06:25, 5.50s/it] 46%|████▋ | 2314/5000 [6:49:38<4:02:26, 5.42s/it] 46%|████▋ | 2315/5000 [6:49:45<4:29:01, 6.01s/it] 46%|████▋ | 2316/5000 [6:49:50<4:19:05, 5.79s/it] 46%|████▋ | 2317/5000 [6:49:56<4:11:22, 5.62s/it] 46%|████▋ | 2318/5000 [6:50:01<4:06:50, 5.52s/it] 46%|████▋ | 2319/5000 [6:50:06<4:04:31, 5.47s/it] 46%|████▋ | 2320/5000 [6:50:12<4:01:41, 5.41s/it] 46%|████▋ | 2321/5000 [6:50:17<4:00:04, 5.38s/it] 46%|████▋ | 2322/5000 [6:50:24<4:20:45, 5.84s/it] 46%|████▋ | 2323/5000 [6:50:29<4:14:39, 5.71s/it] 46%|████▋ | 2324/5000 [6:50:35<4:09:44, 5.60s/it] 46%|████▋ | 2325/5000 [6:50:40<4:03:16, 5.46s/it] 46%|████▋ | 2325/5000 [6:50:40<4:03:16, 5.46s/it] 47%|████▋ | 2326/5000 [6:50:46<4:19:35, 5.82s/it] 47%|████▋ | 2327/5000 [6:50:52<4:11:35, 5.65s/it] 47%|████▋ | 2328/5000 [6:50:57<4:06:38, 5.54s/it] 47%|████▋ | 2329/5000 [6:51:03<4:19:55, 5.84s/it] 47%|████▋ | 2330/5000 [6:51:09<4:11:56, 5.66s/it] 47%|████▋ | 2331/5000 [6:51:14<4:06:47, 5.55s/it] 47%|████▋ | 2332/5000 [6:51:19<4:02:06, 5.44s/it] 47%|████▋ | 2333/5000 [6:51:24<3:59:11, 5.38s/it] 47%|████▋ | 2334/5000 [6:51:30<3:57:42, 5.35s/it] 47%|████▋ | 2335/5000 [6:51:35<3:56:02, 5.31s/it] 47%|████▋ | 2336/5000 [6:51:40<3:59:24, 5.39s/it] 47%|████▋ | 2337/5000 [6:51:46<3:57:14, 5.35s/it] 47%|████▋ | 2338/5000 [6:51:51<3:55:46, 5.31s/it] 47%|████▋ | 2339/5000 [6:51:56<3:54:30, 5.29s/it] 47%|████▋ | 2340/5000 [6:52:01<3:54:08, 5.28s/it] 47%|████▋ | 2341/5000 [6:52:07<3:51:58, 5.23s/it] 47%|████▋ | 2342/5000 [6:52:12<3:51:46, 5.23s/it] 47%|████▋ | 2343/5000 [6:52:17<3:51:25, 5.23s/it] 47%|████▋ | 2344/5000 [6:52:23<4:08:48, 5.62s/it] 47%|████▋ | 2345/5000 [6:52:37<5:58:24, 8.10s/it] 47%|████▋ | 2346/5000 [6:52:43<5:19:14, 7.22s/it] 47%|████▋ | 2347/5000 [6:52:48<4:52:16, 6.61s/it] 47%|████▋ | 2348/5000 [6:52:53<4:35:12, 6.23s/it] 47%|████▋ | 2349/5000 [6:52:58<4:21:22, 5.92s/it] 47%|████▋ | 2350/5000 [6:53:04<4:12:42, 5.72s/it] 47%|████▋ | 2350/5000 [6:53:04<4:12:42, 5.72s/it] 47%|████▋ | 2351/5000 [6:53:09<4:05:57, 5.57s/it] 47%|████▋ | 2352/5000 [6:53:14<3:59:46, 5.43s/it] 47%|████▋ | 2353/5000 [6:53:19<3:56:50, 5.37s/it] 47%|████▋ | 2354/5000 [6:53:25<3:59:26, 5.43s/it] 47%|████▋ | 2355/5000 [6:53:30<3:55:59, 5.35s/it] 47%|████▋ | 2356/5000 [6:53:36<4:03:32, 5.53s/it] 47%|████▋ | 2357/5000 [6:53:41<4:04:48, 5.56s/it] 47%|████▋ | 2358/5000 [6:53:47<4:02:15, 5.50s/it] 47%|████▋ | 2359/5000 [6:53:52<3:58:49, 5.43s/it] 47%|████▋ | 2360/5000 [6:53:57<3:55:57, 5.36s/it] 47%|████▋ | 2361/5000 [6:54:02<3:53:39, 5.31s/it] 47%|████▋ | 2362/5000 [6:54:08<3:53:56, 5.32s/it] 47%|████▋ | 2363/5000 [6:54:13<3:52:17, 5.29s/it] 47%|████▋ | 2364/5000 [6:54:18<3:51:22, 5.27s/it] 47%|████▋ | 2365/5000 [6:54:23<3:49:50, 5.23s/it] 47%|████▋ | 2366/5000 [6:54:29<3:49:48, 5.23s/it] 47%|████▋ | 2367/5000 [6:54:34<3:49:45, 5.24s/it] 47%|████▋ | 2368/5000 [6:54:41<4:10:47, 5.72s/it] 47%|████▋ | 2369/5000 [6:54:46<4:04:35, 5.58s/it] 47%|████▋ | 2370/5000 [6:54:51<3:59:57, 5.47s/it] 47%|████▋ | 2371/5000 [6:54:59<4:25:22, 6.06s/it] 47%|████▋ | 2372/5000 [6:55:04<4:14:20, 5.81s/it] 47%|████▋ | 2373/5000 [6:55:12<4:51:14, 6.65s/it] 47%|████▋ | 2374/5000 [6:55:18<4:32:22, 6.22s/it] 48%|████▊ | 2375/5000 [6:55:23<4:19:03, 5.92s/it] 48%|████▊ | 2375/5000 [6:55:23<4:19:03, 5.92s/it] 48%|████▊ | 2376/5000 [6:55:28<4:10:38, 5.73s/it] 48%|████▊ | 2377/5000 [6:55:33<4:04:43, 5.60s/it] 48%|████▊ | 2378/5000 [6:55:39<4:00:21, 5.50s/it] 48%|████▊ | 2379/5000 [6:55:44<4:02:26, 5.55s/it] 48%|████▊ | 2380/5000 [6:55:50<3:57:30, 5.44s/it] 48%|████▊ | 2381/5000 [6:55:55<3:54:51, 5.38s/it] 48%|████▊ | 2382/5000 [6:56:00<3:53:08, 5.34s/it] 48%|████▊ | 2383/5000 [6:56:05<3:51:36, 5.31s/it] 48%|████▊ | 2384/5000 [6:56:11<3:51:03, 5.30s/it] 48%|████▊ | 2385/5000 [6:56:16<3:49:52, 5.27s/it] 48%|████▊ | 2386/5000 [6:56:21<3:48:59, 5.26s/it] 48%|████▊ | 2387/5000 [6:56:26<3:48:45, 5.25s/it] 48%|████▊ | 2388/5000 [6:56:32<3:53:21, 5.36s/it] 48%|████▊ | 2389/5000 [6:56:37<3:51:49, 5.33s/it] 48%|████▊ | 2390/5000 [6:56:44<4:07:12, 5.68s/it] 48%|████▊ | 2391/5000 [6:56:51<4:34:58, 6.32s/it] 48%|████▊ | 2392/5000 [6:56:57<4:20:17, 5.99s/it] 48%|████▊ | 2393/5000 [6:57:02<4:08:46, 5.73s/it] 48%|████▊ | 2394/5000 [6:57:07<4:06:01, 5.66s/it] 48%|████▊ | 2395/5000 [6:57:13<4:00:50, 5.55s/it] 48%|████▊ | 2396/5000 [6:57:18<3:55:39, 5.43s/it] 48%|████▊ | 2397/5000 [6:57:23<3:53:15, 5.38s/it] 48%|████▊ | 2398/5000 [6:57:28<3:54:32, 5.41s/it] 48%|████▊ | 2399/5000 [6:57:34<3:52:21, 5.36s/it] 48%|████▊ | 2400/5000 [6:57:41<4:22:10, 6.05s/it] 48%|████▊ | 2400/5000 [6:57:41<4:22:10, 6.05s/it] 48%|████▊ | 2401/5000 [6:57:45<3:48:19, 5.27s/it] 48%|████▊ | 2402/5000 [6:57:48<3:24:29, 4.72s/it] 48%|████▊ | 2403/5000 [6:57:52<3:08:10, 4.35s/it] 48%|████▊ | 2404/5000 [6:57:55<2:56:38, 4.08s/it] 48%|████▊ | 2405/5000 [6:57:59<2:48:23, 3.89s/it] 48%|████▊ | 2406/5000 [6:58:02<2:42:45, 3.76s/it] 48%|████▊ | 2407/5000 [6:58:06<2:38:35, 3.67s/it] 48%|████▊ | 2408/5000 [6:58:09<2:35:38, 3.60s/it] 48%|████▊ | 2409/5000 [6:58:12<2:33:41, 3.56s/it] 48%|████▊ | 2410/5000 [6:58:16<2:32:24, 3.53s/it] 48%|████▊ | 2411/5000 [6:58:19<2:30:58, 3.50s/it] 48%|████▊ | 2412/5000 [6:58:23<2:30:17, 3.48s/it] 48%|████▊ | 2413/5000 [6:58:26<2:29:44, 3.47s/it] 48%|████▊ | 2414/5000 [6:58:30<2:29:20, 3.46s/it] 48%|████▊ | 2415/5000 [6:58:33<2:29:00, 3.46s/it] 48%|████▊ | 2416/5000 [6:58:35<2:04:57, 2.90s/it] 48%|████▊ | 2417/5000 [6:59:13<9:39:07, 13.45s/it] 48%|████▊ | 2418/5000 [6:59:18<7:53:06, 10.99s/it] 48%|████▊ | 2419/5000 [6:59:24<6:44:07, 9.39s/it] 48%|████▊ | 2420/5000 [6:59:29<5:51:21, 8.17s/it] 48%|████▊ | 2421/5000 [6:59:35<5:17:35, 7.39s/it] 48%|████▊ | 2422/5000 [6:59:40<4:49:09, 6.73s/it] 48%|████▊ | 2423/5000 [6:59:45<4:28:50, 6.26s/it] 48%|████▊ | 2424/5000 [6:59:50<4:15:32, 5.95s/it] 48%|████▊ | 2425/5000 [6:59:55<4:05:39, 5.72s/it] 48%|████▊ | 2425/5000 [6:59:55<4:05:39, 5.72s/it] 49%|████▊ | 2426/5000 [7:00:02<4:11:37, 5.87s/it] 49%|████▊ | 2427/5000 [7:00:07<4:01:53, 5.64s/it] 49%|████▊ | 2428/5000 [7:00:12<3:57:13, 5.53s/it] 49%|████▊ | 2429/5000 [7:00:17<3:52:29, 5.43s/it] 49%|████▊ | 2430/5000 [7:00:22<3:49:18, 5.35s/it] 49%|████▊ | 2431/5000 [7:00:28<3:47:17, 5.31s/it] 49%|████▊ | 2432/5000 [7:00:33<3:46:27, 5.29s/it] 49%|████▊ | 2433/5000 [7:00:41<4:18:58, 6.05s/it] 49%|████▊ | 2434/5000 [7:00:46<4:07:16, 5.78s/it] 49%|████▊ | 2435/5000 [7:00:51<4:00:26, 5.62s/it] 49%|████▊ | 2436/5000 [7:00:56<3:55:43, 5.52s/it] 49%|████▊ | 2437/5000 [7:01:06<4:44:13, 6.65s/it] 49%|████▉ | 2438/5000 [7:01:11<4:25:50, 6.23s/it] 49%|████▉ | 2439/5000 [7:01:16<4:12:32, 5.92s/it] 49%|████▉ | 2440/5000 [7:01:23<4:27:55, 6.28s/it] 49%|████▉ | 2441/5000 [7:01:31<4:44:07, 6.66s/it] 49%|████▉ | 2442/5000 [7:01:36<4:25:12, 6.22s/it] 49%|████▉ | 2443/5000 [7:01:41<4:13:12, 5.94s/it] 49%|████▉ | 2444/5000 [7:01:46<4:04:26, 5.74s/it] 49%|████▉ | 2445/5000 [7:01:52<3:57:41, 5.58s/it] 49%|████▉ | 2446/5000 [7:01:58<4:08:38, 5.84s/it] 49%|████▉ | 2447/5000 [7:02:04<4:10:56, 5.90s/it] 49%|████▉ | 2448/5000 [7:02:09<4:01:38, 5.68s/it] 49%|████▉ | 2449/5000 [7:02:15<3:55:42, 5.54s/it] 49%|████▉ | 2450/5000 [7:02:20<3:49:50, 5.41s/it] 49%|████▉ | 2450/5000 [7:02:20<3:49:50, 5.41s/it] 49%|████▉ | 2451/5000 [7:02:25<3:47:20, 5.35s/it] 49%|████▉ | 2452/5000 [7:02:30<3:44:26, 5.29s/it] 49%|████▉ | 2453/5000 [7:02:35<3:42:29, 5.24s/it] 49%|████▉ | 2454/5000 [7:02:40<3:42:00, 5.23s/it] 49%|████▉ | 2455/5000 [7:02:46<3:44:59, 5.30s/it] 49%|████▉ | 2456/5000 [7:02:56<4:46:33, 6.76s/it] 49%|████▉ | 2457/5000 [7:03:01<4:26:45, 6.29s/it] 49%|████▉ | 2458/5000 [7:03:06<4:13:55, 5.99s/it] 49%|████▉ | 2459/5000 [7:03:12<4:03:19, 5.75s/it] 49%|████▉ | 2460/5000 [7:03:17<3:56:05, 5.58s/it] 49%|████▉ | 2461/5000 [7:03:22<3:54:51, 5.55s/it] 49%|████▉ | 2462/5000 [7:03:29<4:08:51, 5.88s/it] 49%|████▉ | 2463/5000 [7:03:34<4:02:35, 5.74s/it] 49%|████▉ | 2464/5000 [7:03:42<4:29:28, 6.38s/it] 49%|████▉ | 2465/5000 [7:03:49<4:29:00, 6.37s/it] 49%|████▉ | 2466/5000 [7:03:54<4:14:44, 6.03s/it] 49%|████▉ | 2467/5000 [7:03:59<4:03:40, 5.77s/it] 49%|████▉ | 2468/5000 [7:04:04<3:56:54, 5.61s/it] 49%|████▉ | 2469/5000 [7:04:09<3:50:47, 5.47s/it] 49%|████▉ | 2470/5000 [7:04:15<3:48:01, 5.41s/it] 49%|████▉ | 2471/5000 [7:04:20<3:46:33, 5.38s/it] 49%|████▉ | 2472/5000 [7:04:25<3:43:17, 5.30s/it] 49%|████▉ | 2473/5000 [7:04:30<3:41:37, 5.26s/it] 49%|████▉ | 2474/5000 [7:04:35<3:40:12, 5.23s/it] 50%|████▉ | 2475/5000 [7:04:41<3:39:19, 5.21s/it] 50%|████▉ | 2475/5000 [7:04:41<3:39:19, 5.21s/it] 50%|████▉ | 2476/5000 [7:04:46<3:38:55, 5.20s/it] 50%|████▉ | 2477/5000 [7:04:51<3:37:38, 5.18s/it] 50%|████▉ | 2478/5000 [7:04:56<3:36:18, 5.15s/it] 50%|████▉ | 2479/5000 [7:05:03<4:05:55, 5.85s/it] 50%|████▉ | 2480/5000 [7:05:09<3:58:21, 5.68s/it] 50%|████▉ | 2481/5000 [7:05:14<3:52:20, 5.53s/it] 50%|████▉ | 2482/5000 [7:05:19<3:47:41, 5.43s/it] 50%|████▉ | 2483/5000 [7:05:24<3:45:01, 5.36s/it] 50%|████▉ | 2484/5000 [7:05:30<3:43:43, 5.34s/it] 50%|████▉ | 2485/5000 [7:05:36<3:56:07, 5.63s/it] 50%|████▉ | 2486/5000 [7:05:42<4:08:15, 5.92s/it] 50%|████▉ | 2487/5000 [7:05:48<4:05:01, 5.85s/it] 50%|████▉ | 2488/5000 [7:05:54<3:59:26, 5.72s/it] 50%|████▉ | 2489/5000 [7:05:59<3:53:34, 5.58s/it] 50%|████▉ | 2490/5000 [7:06:04<3:49:41, 5.49s/it] 50%|████▉ | 2491/5000 [7:06:09<3:46:36, 5.42s/it] 50%|████▉ | 2492/5000 [7:06:15<3:49:24, 5.49s/it] 50%|████▉ | 2493/5000 [7:06:20<3:45:43, 5.40s/it] 50%|████▉ | 2494/5000 [7:06:25<3:43:33, 5.35s/it] 50%|████▉ | 2495/5000 [7:06:31<3:42:46, 5.34s/it] 50%|████▉ | 2496/5000 [7:06:36<3:41:49, 5.32s/it] 50%|████▉ | 2497/5000 [7:06:42<3:44:55, 5.39s/it] 50%|████▉ | 2498/5000 [7:06:47<3:43:16, 5.35s/it] 50%|████▉ | 2499/5000 [7:06:52<3:47:01, 5.45s/it] 50%|█████ | 2500/5000 [7:06:58<3:46:16, 5.43s/it] 50%|█████ | 2500/5000 [7:06:58<3:46:16, 5.43s/it] 50%|█████ | 2501/5000 [7:07:03<3:43:34, 5.37s/it] 50%|█████ | 2502/5000 [7:07:08<3:41:57, 5.33s/it] 50%|█████ | 2503/5000 [7:07:14<3:41:20, 5.32s/it] 50%|█████ | 2504/5000 [7:07:19<3:38:15, 5.25s/it] 50%|█████ | 2505/5000 [7:07:24<3:38:06, 5.24s/it] 50%|█████ | 2506/5000 [7:07:29<3:37:46, 5.24s/it] 50%|█████ | 2507/5000 [7:07:34<3:38:24, 5.26s/it] 50%|█████ | 2508/5000 [7:07:40<3:37:02, 5.23s/it] 50%|█████ | 2509/5000 [7:07:45<3:35:59, 5.20s/it] 50%|█████ | 2510/5000 [7:07:50<3:36:57, 5.23s/it] 50%|█████ | 2511/5000 [7:07:58<4:15:12, 6.15s/it] 50%|█████ | 2512/5000 [7:08:04<4:03:48, 5.88s/it] 50%|█████ | 2513/5000 [7:08:09<3:56:08, 5.70s/it] 50%|█████ | 2514/5000 [7:08:14<3:50:42, 5.57s/it] 50%|█████ | 2515/5000 [7:08:19<3:46:10, 5.46s/it] 50%|█████ | 2516/5000 [7:08:25<3:44:48, 5.43s/it] 50%|█████ | 2517/5000 [7:08:30<3:43:26, 5.40s/it] 50%|█████ | 2518/5000 [7:08:35<3:42:52, 5.39s/it] 50%|█████ | 2519/5000 [7:08:41<3:40:26, 5.33s/it] 50%|█████ | 2520/5000 [7:08:46<3:39:13, 5.30s/it] 50%|█████ | 2521/5000 [7:08:51<3:40:47, 5.34s/it] 50%|█████ | 2522/5000 [7:08:57<3:40:08, 5.33s/it] 50%|█████ | 2523/5000 [7:09:02<3:38:12, 5.29s/it] 50%|█████ | 2524/5000 [7:09:07<3:38:39, 5.30s/it] 50%|█████ | 2525/5000 [7:09:13<3:40:24, 5.34s/it] 50%|█████ | 2525/5000 [7:09:13<3:40:24, 5.34s/it] 51%|█████ | 2526/5000 [7:09:18<3:38:25, 5.30s/it] 51%|█████ | 2527/5000 [7:09:23<3:38:22, 5.30s/it] 51%|█████ | 2528/5000 [7:09:30<3:57:25, 5.76s/it] 51%|█████ | 2529/5000 [7:09:35<3:51:02, 5.61s/it] 51%|█████ | 2530/5000 [7:09:40<3:47:23, 5.52s/it] 51%|█████ | 2531/5000 [7:09:46<3:42:16, 5.40s/it] 51%|█████ | 2532/5000 [7:09:51<3:39:29, 5.34s/it] 51%|█████ | 2533/5000 [7:09:56<3:37:58, 5.30s/it] 51%|█████ | 2534/5000 [7:10:01<3:37:20, 5.29s/it] 51%|█████ | 2535/5000 [7:10:06<3:36:42, 5.27s/it] 51%|█████ | 2536/5000 [7:10:12<3:34:59, 5.24s/it] 51%|█████ | 2537/5000 [7:10:17<3:34:50, 5.23s/it] 51%|█████ | 2538/5000 [7:10:22<3:34:30, 5.23s/it] 51%|█████ | 2539/5000 [7:10:27<3:34:43, 5.24s/it] 51%|█████ | 2540/5000 [7:10:32<3:32:50, 5.19s/it] 51%|█████ | 2541/5000 [7:10:38<3:39:38, 5.36s/it] 51%|█████ | 2542/5000 [7:10:45<3:57:48, 5.81s/it] 51%|█████ | 2543/5000 [7:10:50<3:51:20, 5.65s/it] 51%|█████ | 2544/5000 [7:10:55<3:45:37, 5.51s/it] 51%|█████ | 2545/5000 [7:11:01<3:41:38, 5.42s/it] 51%|█████ | 2546/5000 [7:11:06<3:38:45, 5.35s/it] 51%|█████ | 2547/5000 [7:11:12<3:48:53, 5.60s/it] 51%|█████ | 2548/5000 [7:11:17<3:44:40, 5.50s/it] 51%|█████ | 2549/5000 [7:11:23<3:41:48, 5.43s/it] 51%|█████ | 2550/5000 [7:11:28<3:38:58, 5.36s/it] 51%|█████ | 2550/5000 [7:11:28<3:38:58, 5.36s/it] 51%|█████ | 2551/5000 [7:11:33<3:38:19, 5.35s/it] 51%|█████ | 2552/5000 [7:11:38<3:37:18, 5.33s/it] 51%|█████ | 2553/5000 [7:11:44<3:37:47, 5.34s/it] 51%|█████ | 2554/5000 [7:11:49<3:35:57, 5.30s/it] 51%|█████ | 2555/5000 [7:11:56<3:52:01, 5.69s/it] 51%|█████ | 2556/5000 [7:12:01<3:47:36, 5.59s/it] 51%|█████ | 2557/5000 [7:12:06<3:42:32, 5.47s/it] 51%|█████ | 2558/5000 [7:12:11<3:40:56, 5.43s/it] 51%|█████ | 2559/5000 [7:12:17<3:39:11, 5.39s/it] 51%|█████ | 2560/5000 [7:12:22<3:37:57, 5.36s/it] 51%|█████ | 2561/5000 [7:12:27<3:37:52, 5.36s/it] 51%|█████ | 2562/5000 [7:12:33<3:35:32, 5.30s/it] 51%|█████▏ | 2563/5000 [7:12:38<3:34:24, 5.28s/it] 51%|█████▏ | 2564/5000 [7:12:44<3:48:24, 5.63s/it] 51%|█████▏ | 2565/5000 [7:12:49<3:43:11, 5.50s/it] 51%|█████▏ | 2566/5000 [7:12:58<4:15:21, 6.29s/it] 51%|█████▏ | 2567/5000 [7:13:03<4:03:20, 6.00s/it] 51%|█████▏ | 2568/5000 [7:13:08<3:53:39, 5.76s/it] 51%|█████▏ | 2569/5000 [7:13:16<4:24:22, 6.52s/it] 51%|█████▏ | 2570/5000 [7:13:22<4:09:16, 6.16s/it] 51%|█████▏ | 2571/5000 [7:13:27<3:59:04, 5.91s/it] 51%|█████▏ | 2572/5000 [7:13:32<3:51:22, 5.72s/it] 51%|█████▏ | 2573/5000 [7:13:38<3:46:20, 5.60s/it] 51%|█████▏ | 2574/5000 [7:13:43<3:42:05, 5.49s/it] 52%|█████▏ | 2575/5000 [7:13:48<3:42:27, 5.50s/it] 52%|█████▏ | 2575/5000 [7:13:48<3:42:27, 5.50s/it] 52%|█████▏ | 2576/5000 [7:13:54<3:39:58, 5.44s/it] 52%|█████▏ | 2577/5000 [7:13:59<3:35:39, 5.34s/it] 52%|█████▏ | 2578/5000 [7:14:04<3:34:35, 5.32s/it] 52%|█████▏ | 2579/5000 [7:14:10<3:39:44, 5.45s/it] 52%|█████▏ | 2580/5000 [7:14:15<3:37:40, 5.40s/it] 52%|█████▏ | 2581/5000 [7:14:20<3:36:46, 5.38s/it] 52%|█████▏ | 2582/5000 [7:14:26<3:34:17, 5.32s/it] 52%|█████▏ | 2583/5000 [7:14:32<3:42:52, 5.53s/it] 52%|█████▏ | 2584/5000 [7:14:37<3:38:54, 5.44s/it] 52%|█████▏ | 2585/5000 [7:14:42<3:36:05, 5.37s/it] 52%|█████▏ | 2586/5000 [7:14:47<3:34:31, 5.33s/it] 52%|█████▏ | 2587/5000 [7:14:53<3:36:36, 5.39s/it] 52%|█████▏ | 2588/5000 [7:14:58<3:34:32, 5.34s/it] 52%|█████▏ | 2589/5000 [7:15:03<3:32:53, 5.30s/it] 52%|█████▏ | 2590/5000 [7:15:08<3:32:31, 5.29s/it] 52%|█████▏ | 2591/5000 [7:15:14<3:31:43, 5.27s/it] 52%|█████▏ | 2592/5000 [7:15:19<3:30:07, 5.24s/it] 52%|█████▏ | 2593/5000 [7:15:24<3:31:13, 5.27s/it] 52%|█████▏ | 2594/5000 [7:15:31<3:51:54, 5.78s/it] 52%|█████▏ | 2595/5000 [7:15:36<3:45:51, 5.63s/it] 52%|█████▏ | 2596/5000 [7:15:43<3:53:36, 5.83s/it] 52%|█████▏ | 2597/5000 [7:15:48<3:45:56, 5.64s/it] 52%|█████▏ | 2598/5000 [7:15:55<4:00:39, 6.01s/it] 52%|█████▏ | 2599/5000 [7:16:01<4:02:16, 6.05s/it] 52%|█████▏ | 2600/5000 [7:16:06<3:52:52, 5.82s/it] 52%|█████▏ | 2600/5000 [7:16:06<3:52:52, 5.82s/it] 52%|█████▏ | 2601/5000 [7:16:13<4:04:32, 6.12s/it] 52%|█████▏ | 2602/5000 [7:16:18<3:54:23, 5.86s/it] 52%|█████▏ | 2603/5000 [7:16:24<3:51:54, 5.81s/it] 52%|█████▏ | 2604/5000 [7:16:29<3:47:11, 5.69s/it] 52%|█████▏ | 2605/5000 [7:16:35<3:42:30, 5.57s/it] 52%|█████▏ | 2606/5000 [7:16:40<3:38:02, 5.46s/it] 52%|█████▏ | 2607/5000 [7:16:48<4:08:20, 6.23s/it] 52%|█████▏ | 2608/5000 [7:16:53<3:56:49, 5.94s/it] 52%|█████▏ | 2609/5000 [7:16:58<3:48:29, 5.73s/it] 52%|█████▏ | 2610/5000 [7:17:04<3:42:50, 5.59s/it] 52%|█████▏ | 2611/5000 [7:17:09<3:38:21, 5.48s/it] 52%|█████▏ | 2612/5000 [7:17:16<3:51:15, 5.81s/it] 52%|█████▏ | 2613/5000 [7:17:21<3:43:21, 5.61s/it] 52%|█████▏ | 2614/5000 [7:17:26<3:37:04, 5.46s/it] 52%|█████▏ | 2615/5000 [7:17:31<3:35:11, 5.41s/it] 52%|█████▏ | 2616/5000 [7:17:36<3:34:25, 5.40s/it] 52%|█████▏ | 2617/5000 [7:17:44<4:04:18, 6.15s/it] 52%|█████▏ | 2618/5000 [7:17:50<3:53:00, 5.87s/it] 52%|█████▏ | 2619/5000 [7:17:55<3:46:01, 5.70s/it] 52%|█████▏ | 2620/5000 [7:18:04<4:21:00, 6.58s/it] 52%|█████▏ | 2621/5000 [7:18:09<4:03:33, 6.14s/it] 52%|█████▏ | 2622/5000 [7:18:14<3:51:29, 5.84s/it] 52%|█████▏ | 2623/5000 [7:18:19<3:46:34, 5.72s/it] 52%|█████▏ | 2624/5000 [7:18:24<3:40:52, 5.58s/it] 52%|█████▎ | 2625/5000 [7:18:30<3:38:14, 5.51s/it] 52%|█████▎ | 2625/5000 [7:18:30<3:38:14, 5.51s/it] 53%|█████▎ | 2626/5000 [7:18:35<3:35:47, 5.45s/it] 53%|█████▎ | 2627/5000 [7:18:40<3:33:38, 5.40s/it] 53%|█████▎ | 2628/5000 [7:18:46<3:33:25, 5.40s/it] 53%|█████▎ | 2629/5000 [7:18:51<3:30:00, 5.31s/it] 53%|█████▎ | 2630/5000 [7:18:56<3:26:54, 5.24s/it] 53%|█████▎ | 2631/5000 [7:19:01<3:26:23, 5.23s/it] 53%|█████▎ | 2632/5000 [7:19:06<3:24:28, 5.18s/it] 53%|█████▎ | 2633/5000 [7:19:13<3:40:18, 5.58s/it] 53%|█████▎ | 2634/5000 [7:19:18<3:36:27, 5.49s/it] 53%|█████▎ | 2635/5000 [7:19:23<3:33:19, 5.41s/it] 53%|█████▎ | 2636/5000 [7:19:29<3:31:09, 5.36s/it] 53%|█████▎ | 2637/5000 [7:19:34<3:28:04, 5.28s/it] 53%|█████▎ | 2638/5000 [7:19:39<3:26:55, 5.26s/it] 53%|█████▎ | 2639/5000 [7:19:45<3:41:51, 5.64s/it] 53%|█████▎ | 2640/5000 [7:19:51<3:36:58, 5.52s/it] 53%|█████▎ | 2641/5000 [7:19:57<3:52:28, 5.91s/it] 53%|█████▎ | 2642/5000 [7:20:03<3:44:10, 5.70s/it] 53%|█████▎ | 2643/5000 [7:20:08<3:38:37, 5.57s/it] 53%|█████▎ | 2644/5000 [7:20:13<3:33:58, 5.45s/it] 53%|█████▎ | 2645/5000 [7:20:18<3:30:19, 5.36s/it] 53%|█████▎ | 2646/5000 [7:20:23<3:28:08, 5.31s/it] 53%|█████▎ | 2647/5000 [7:20:29<3:27:45, 5.30s/it] 53%|█████▎ | 2648/5000 [7:20:35<3:34:37, 5.48s/it] 53%|█████▎ | 2649/5000 [7:20:40<3:29:58, 5.36s/it] 53%|█████▎ | 2650/5000 [7:20:45<3:29:15, 5.34s/it] 53%|█████▎ | 2650/5000 [7:20:45<3:29:15, 5.34s/it] 53%|█████▎ | 2651/5000 [7:20:52<3:53:50, 5.97s/it] 53%|█████▎ | 2652/5000 [7:20:58<3:44:54, 5.75s/it] 53%|█████▎ | 2653/5000 [7:21:03<3:38:26, 5.58s/it] 53%|█████▎ | 2654/5000 [7:21:08<3:34:21, 5.48s/it] 53%|█████▎ | 2655/5000 [7:21:13<3:30:21, 5.38s/it] 53%|█████▎ | 2656/5000 [7:21:18<3:26:14, 5.28s/it] 53%|█████▎ | 2657/5000 [7:21:23<3:25:34, 5.26s/it] 53%|█████▎ | 2658/5000 [7:21:29<3:22:45, 5.19s/it] 53%|█████▎ | 2659/5000 [7:21:34<3:23:29, 5.22s/it] 53%|█████▎ | 2660/5000 [7:21:39<3:23:32, 5.22s/it] 53%|█████▎ | 2661/5000 [7:21:44<3:23:45, 5.23s/it] 53%|█████▎ | 2662/5000 [7:21:49<3:22:25, 5.19s/it] 53%|█████▎ | 2663/5000 [7:21:55<3:21:54, 5.18s/it] 53%|█████▎ | 2664/5000 [7:22:00<3:22:43, 5.21s/it] 53%|█████▎ | 2665/5000 [7:22:05<3:22:02, 5.19s/it] 53%|█████▎ | 2666/5000 [7:22:10<3:22:57, 5.22s/it] 53%|█████▎ | 2667/5000 [7:22:15<3:22:39, 5.21s/it] 53%|█████▎ | 2668/5000 [7:22:21<3:22:02, 5.20s/it] 53%|█████▎ | 2669/5000 [7:22:26<3:22:24, 5.21s/it] 53%|█████▎ | 2670/5000 [7:22:31<3:21:08, 5.18s/it] 53%|█████▎ | 2671/5000 [7:22:36<3:21:11, 5.18s/it] 53%|█████▎ | 2672/5000 [7:22:41<3:19:43, 5.15s/it] 53%|█████▎ | 2673/5000 [7:22:48<3:36:55, 5.59s/it] 53%|█████▎ | 2674/5000 [7:22:53<3:31:17, 5.45s/it] 54%|█████▎ | 2675/5000 [7:23:02<4:10:13, 6.46s/it] 54%|█████▎ | 2675/5000 [7:23:02<4:10:13, 6.46s/it] 54%|█████▎ | 2676/5000 [7:23:07<3:54:31, 6.06s/it] 54%|█████▎ | 2677/5000 [7:23:12<3:44:38, 5.80s/it] 54%|█████▎ | 2678/5000 [7:23:17<3:38:16, 5.64s/it] 54%|█████▎ | 2679/5000 [7:23:23<3:33:03, 5.51s/it] 54%|█████▎ | 2680/5000 [7:23:28<3:28:48, 5.40s/it] 54%|█████▎ | 2681/5000 [7:23:33<3:26:10, 5.33s/it] 54%|█████▎ | 2682/5000 [7:23:38<3:25:02, 5.31s/it] 54%|█████▎ | 2683/5000 [7:23:44<3:27:59, 5.39s/it] 54%|█████▎ | 2684/5000 [7:23:49<3:25:54, 5.33s/it] 54%|█████▎ | 2685/5000 [7:23:54<3:24:44, 5.31s/it] 54%|█████▎ | 2686/5000 [7:24:03<4:00:27, 6.23s/it] 54%|█████▎ | 2687/5000 [7:24:08<3:48:06, 5.92s/it] 54%|█████▍ | 2688/5000 [7:24:13<3:39:55, 5.71s/it] 54%|█████▍ | 2689/5000 [7:24:18<3:34:45, 5.58s/it] 54%|█████▍ | 2690/5000 [7:24:23<3:30:17, 5.46s/it] 54%|█████▍ | 2691/5000 [7:24:29<3:27:30, 5.39s/it] 54%|█████▍ | 2692/5000 [7:24:34<3:25:44, 5.35s/it] 54%|█████▍ | 2693/5000 [7:24:39<3:24:42, 5.32s/it] 54%|█████▍ | 2694/5000 [7:24:44<3:24:14, 5.31s/it] 54%|█████▍ | 2695/5000 [7:24:50<3:27:13, 5.39s/it] 54%|█████▍ | 2696/5000 [7:24:55<3:25:23, 5.35s/it] 54%|█████▍ | 2697/5000 [7:25:01<3:24:10, 5.32s/it] 54%|█████▍ | 2698/5000 [7:25:06<3:25:34, 5.36s/it] 54%|█████▍ | 2699/5000 [7:25:11<3:24:15, 5.33s/it] 54%|█████▍ | 2700/5000 [7:25:18<3:38:35, 5.70s/it] 54%|█████▍ | 2700/5000 [7:25:18<3:38:35, 5.70s/it] 54%|█████▍ | 2701/5000 [7:25:23<3:33:59, 5.58s/it] 54%|█████▍ | 2702/5000 [7:25:28<3:30:18, 5.49s/it] 54%|█████▍ | 2703/5000 [7:25:35<3:43:08, 5.83s/it] 54%|█████▍ | 2704/5000 [7:25:40<3:36:22, 5.65s/it] 54%|█████▍ | 2705/5000 [7:25:45<3:31:26, 5.53s/it] 54%|█████▍ | 2706/5000 [7:25:52<3:47:54, 5.96s/it] 54%|█████▍ | 2707/5000 [7:25:58<3:39:43, 5.75s/it] 54%|█████▍ | 2708/5000 [7:26:03<3:32:23, 5.56s/it] 54%|█████▍ | 2709/5000 [7:26:08<3:29:01, 5.47s/it] 54%|█████▍ | 2710/5000 [7:26:13<3:26:45, 5.42s/it] 54%|█████▍ | 2711/5000 [7:26:19<3:26:29, 5.41s/it] 54%|█████▍ | 2712/5000 [7:26:24<3:23:10, 5.33s/it] 54%|█████▍ | 2713/5000 [7:26:29<3:22:26, 5.31s/it] 54%|█████▍ | 2714/5000 [7:26:34<3:21:08, 5.28s/it] 54%|█████▍ | 2715/5000 [7:26:40<3:20:11, 5.26s/it] 54%|█████▍ | 2716/5000 [7:26:47<3:49:53, 6.04s/it] 54%|█████▍ | 2717/5000 [7:26:53<3:40:53, 5.81s/it] 54%|█████▍ | 2718/5000 [7:26:58<3:37:28, 5.72s/it] 54%|█████▍ | 2719/5000 [7:27:04<3:37:24, 5.72s/it] 54%|█████▍ | 2720/5000 [7:27:09<3:31:30, 5.57s/it] 54%|█████▍ | 2721/5000 [7:27:14<3:26:07, 5.43s/it] 54%|█████▍ | 2722/5000 [7:27:20<3:24:03, 5.37s/it] 54%|█████▍ | 2723/5000 [7:27:25<3:21:15, 5.30s/it] 54%|█████▍ | 2724/5000 [7:27:30<3:20:00, 5.27s/it] 55%|█████▍ | 2725/5000 [7:27:35<3:19:45, 5.27s/it] 55%|█████▍ | 2725/5000 [7:27:35<3:19:45, 5.27s/it] 55%|█████▍ | 2726/5000 [7:27:40<3:18:36, 5.24s/it] 55%|█████▍ | 2727/5000 [7:27:48<3:46:14, 5.97s/it] 55%|█████▍ | 2728/5000 [7:27:53<3:37:47, 5.75s/it] 55%|█████▍ | 2729/5000 [7:27:58<3:31:24, 5.59s/it] 55%|█████▍ | 2730/5000 [7:28:07<4:02:53, 6.42s/it] 55%|█████▍ | 2731/5000 [7:28:14<4:09:44, 6.60s/it] 55%|█████▍ | 2732/5000 [7:28:19<3:53:19, 6.17s/it] 55%|█████▍ | 2733/5000 [7:28:24<3:41:00, 5.85s/it] 55%|█████▍ | 2734/5000 [7:28:29<3:34:27, 5.68s/it] 55%|█████▍ | 2735/5000 [7:28:35<3:28:30, 5.52s/it] 55%|█████▍ | 2736/5000 [7:28:41<3:43:36, 5.93s/it] 55%|█████▍ | 2737/5000 [7:28:47<3:36:30, 5.74s/it] 55%|█████▍ | 2738/5000 [7:28:52<3:33:55, 5.67s/it] 55%|█████▍ | 2739/5000 [7:29:00<3:55:18, 6.24s/it] 55%|█████▍ | 2740/5000 [7:29:07<4:04:11, 6.48s/it] 55%|█████▍ | 2741/5000 [7:29:12<3:49:58, 6.11s/it] 55%|█████▍ | 2742/5000 [7:29:17<3:40:11, 5.85s/it] 55%|█████▍ | 2743/5000 [7:29:23<3:33:11, 5.67s/it] 55%|█████▍ | 2744/5000 [7:29:28<3:27:52, 5.53s/it] 55%|█████▍ | 2745/5000 [7:29:33<3:24:17, 5.44s/it] 55%|█████▍ | 2746/5000 [7:29:38<3:20:19, 5.33s/it] 55%|█████▍ | 2747/5000 [7:29:43<3:19:32, 5.31s/it] 55%|█████▍ | 2748/5000 [7:29:48<3:17:24, 5.26s/it] 55%|█████▍ | 2749/5000 [7:29:54<3:17:53, 5.27s/it] 55%|█████▌ | 2750/5000 [7:30:00<3:32:16, 5.66s/it] 55%|█████▌ | 2750/5000 [7:30:00<3:32:16, 5.66s/it] 55%|█████▌ | 2751/5000 [7:30:06<3:27:29, 5.54s/it] 55%|█████▌ | 2752/5000 [7:30:11<3:22:58, 5.42s/it] 55%|█████▌ | 2753/5000 [7:30:16<3:20:59, 5.37s/it] 55%|█████▌ | 2754/5000 [7:30:21<3:20:27, 5.36s/it] 55%|█████▌ | 2755/5000 [7:30:27<3:25:45, 5.50s/it] 55%|█████▌ | 2756/5000 [7:30:32<3:22:39, 5.42s/it] 55%|█████▌ | 2757/5000 [7:30:38<3:19:56, 5.35s/it] 55%|█████▌ | 2758/5000 [7:30:43<3:18:11, 5.30s/it] 55%|█████▌ | 2759/5000 [7:30:48<3:17:27, 5.29s/it] 55%|█████▌ | 2760/5000 [7:30:54<3:24:01, 5.47s/it] 55%|█████▌ | 2761/5000 [7:30:59<3:22:09, 5.42s/it] 55%|█████▌ | 2762/5000 [7:31:04<3:18:59, 5.34s/it] 55%|█████▌ | 2763/5000 [7:31:10<3:19:22, 5.35s/it] 55%|█████▌ | 2764/5000 [7:31:15<3:18:39, 5.33s/it] 55%|█████▌ | 2765/5000 [7:31:23<3:43:37, 6.00s/it] 55%|█████▌ | 2766/5000 [7:31:28<3:34:45, 5.77s/it] 55%|█████▌ | 2767/5000 [7:31:33<3:29:05, 5.62s/it] 55%|█████▌ | 2768/5000 [7:31:39<3:32:36, 5.72s/it] 55%|█████▌ | 2769/5000 [7:31:47<3:53:23, 6.28s/it] 55%|█████▌ | 2770/5000 [7:31:52<3:40:47, 5.94s/it] 55%|█████▌ | 2771/5000 [7:31:57<3:32:05, 5.71s/it] 55%|█████▌ | 2772/5000 [7:32:03<3:41:52, 5.98s/it] 55%|█████▌ | 2773/5000 [7:32:09<3:32:01, 5.71s/it] 55%|█████▌ | 2774/5000 [7:32:15<3:35:16, 5.80s/it] 56%|█████▌ | 2775/5000 [7:32:20<3:28:48, 5.63s/it] 56%|█████▌ | 2775/5000 [7:32:20<3:28:48, 5.63s/it] 56%|█████▌ | 2776/5000 [7:32:25<3:23:46, 5.50s/it] 56%|█████▌ | 2777/5000 [7:32:30<3:20:18, 5.41s/it] 56%|█████▌ | 2778/5000 [7:32:35<3:17:47, 5.34s/it] 56%|█████▌ | 2779/5000 [7:32:41<3:16:29, 5.31s/it] 56%|█████▌ | 2780/5000 [7:32:46<3:14:50, 5.27s/it] 56%|█████▌ | 2781/5000 [7:32:53<3:36:40, 5.86s/it] 56%|█████▌ | 2782/5000 [7:32:58<3:29:30, 5.67s/it] 56%|█████▌ | 2783/5000 [7:33:04<3:24:54, 5.55s/it] 56%|█████▌ | 2784/5000 [7:33:09<3:20:17, 5.42s/it] 56%|█████▌ | 2785/5000 [7:33:17<3:54:41, 6.36s/it] 56%|█████▌ | 2786/5000 [7:33:22<3:42:44, 6.04s/it] 56%|█████▌ | 2787/5000 [7:33:28<3:35:36, 5.85s/it] 56%|█████▌ | 2788/5000 [7:33:34<3:39:23, 5.95s/it] 56%|█████▌ | 2789/5000 [7:33:39<3:31:04, 5.73s/it] 56%|█████▌ | 2790/5000 [7:33:45<3:25:08, 5.57s/it] 56%|█████▌ | 2791/5000 [7:33:50<3:21:39, 5.48s/it] 56%|█████▌ | 2792/5000 [7:33:55<3:19:04, 5.41s/it] 56%|█████▌ | 2793/5000 [7:34:00<3:17:01, 5.36s/it] 56%|█████▌ | 2794/5000 [7:34:06<3:15:48, 5.33s/it] 56%|█████▌ | 2795/5000 [7:34:13<3:37:47, 5.93s/it] 56%|█████▌ | 2796/5000 [7:34:18<3:30:47, 5.74s/it] 56%|█████▌ | 2797/5000 [7:34:23<3:24:12, 5.56s/it] 56%|█████▌ | 2798/5000 [7:34:29<3:20:45, 5.47s/it] 56%|█████▌ | 2799/5000 [7:34:34<3:22:44, 5.53s/it] 56%|█████▌ | 2800/5000 [7:34:40<3:21:00, 5.48s/it] 56%|█████▌ | 2800/5000 [7:34:40<3:21:00, 5.48s/it] 56%|█████▌ | 2801/5000 [7:34:46<3:30:23, 5.74s/it] 56%|█████▌ | 2802/5000 [7:34:51<3:25:04, 5.60s/it] 56%|█████▌ | 2803/5000 [7:34:56<3:20:33, 5.48s/it] 56%|█████▌ | 2804/5000 [7:35:01<3:16:33, 5.37s/it] 56%|█████▌ | 2805/5000 [7:35:07<3:19:09, 5.44s/it] 56%|█████▌ | 2806/5000 [7:35:12<3:16:43, 5.38s/it] 56%|█████▌ | 2807/5000 [7:35:18<3:15:06, 5.34s/it] 56%|█████▌ | 2808/5000 [7:35:23<3:14:32, 5.32s/it] 56%|█████▌ | 2809/5000 [7:35:28<3:12:14, 5.26s/it] 56%|█████▌ | 2810/5000 [7:35:34<3:18:30, 5.44s/it] 56%|█████▌ | 2811/5000 [7:35:39<3:20:42, 5.50s/it] 56%|█████▌ | 2812/5000 [7:35:45<3:18:16, 5.44s/it] 56%|█████▋ | 2813/5000 [7:35:53<3:44:17, 6.15s/it] 56%|█████▋ | 2814/5000 [7:35:58<3:34:15, 5.88s/it] 56%|█████▋ | 2815/5000 [7:36:04<3:37:42, 5.98s/it] 56%|█████▋ | 2816/5000 [7:36:10<3:38:27, 6.00s/it] 56%|█████▋ | 2817/5000 [7:36:15<3:30:36, 5.79s/it] 56%|█████▋ | 2818/5000 [7:36:21<3:26:48, 5.69s/it] 56%|█████▋ | 2819/5000 [7:36:26<3:22:07, 5.56s/it] 56%|█████▋ | 2820/5000 [7:36:31<3:18:04, 5.45s/it] 56%|█████▋ | 2821/5000 [7:36:37<3:16:00, 5.40s/it] 56%|█████▋ | 2822/5000 [7:36:42<3:14:26, 5.36s/it] 56%|█████▋ | 2823/5000 [7:36:47<3:13:31, 5.33s/it] 56%|█████▋ | 2824/5000 [7:36:52<3:10:43, 5.26s/it] 56%|█████▋ | 2825/5000 [7:36:57<3:09:40, 5.23s/it] 56%|█████▋ | 2825/5000 [7:36:57<3:09:40, 5.23s/it] 57%|█████▋ | 2826/5000 [7:37:03<3:09:51, 5.24s/it] 57%|█████▋ | 2827/5000 [7:37:08<3:09:50, 5.24s/it] 57%|█████▋ | 2828/5000 [7:37:13<3:08:00, 5.19s/it] 57%|█████▋ | 2829/5000 [7:37:19<3:12:19, 5.32s/it] 57%|█████▋ | 2830/5000 [7:37:24<3:10:36, 5.27s/it] 57%|█████▋ | 2831/5000 [7:37:29<3:08:38, 5.22s/it] 57%|█████▋ | 2832/5000 [7:37:34<3:08:28, 5.22s/it] 57%|█████▋ | 2833/5000 [7:37:39<3:06:57, 5.18s/it] 57%|█████▋ | 2834/5000 [7:37:47<3:32:21, 5.88s/it] 57%|█████▋ | 2835/5000 [7:37:52<3:25:13, 5.69s/it] 57%|█████▋ | 2836/5000 [7:37:57<3:20:11, 5.55s/it] 57%|█████▋ | 2837/5000 [7:38:02<3:16:46, 5.46s/it] 57%|█████▋ | 2838/5000 [7:38:08<3:13:33, 5.37s/it] 57%|█████▋ | 2839/5000 [7:38:13<3:10:50, 5.30s/it] 57%|█████▋ | 2840/5000 [7:38:22<3:59:09, 6.64s/it] 57%|█████▋ | 2841/5000 [7:38:28<3:46:56, 6.31s/it] 57%|█████▋ | 2842/5000 [7:38:33<3:34:55, 5.98s/it] 57%|█████▋ | 2843/5000 [7:38:42<4:01:22, 6.71s/it] 57%|█████▋ | 2844/5000 [7:38:47<3:46:31, 6.30s/it] 57%|█████▋ | 2845/5000 [7:38:53<3:45:41, 6.28s/it] 57%|█████▋ | 2846/5000 [7:38:58<3:34:15, 5.97s/it] 57%|█████▋ | 2847/5000 [7:39:04<3:26:20, 5.75s/it] 57%|█████▋ | 2848/5000 [7:39:09<3:20:00, 5.58s/it] 57%|█████▋ | 2849/5000 [7:39:14<3:16:25, 5.48s/it] 57%|█████▋ | 2850/5000 [7:39:19<3:13:42, 5.41s/it] 57%|█████▋ | 2850/5000 [7:39:19<3:13:42, 5.41s/it] 57%|█████▋ | 2851/5000 [7:39:25<3:12:22, 5.37s/it] 57%|█████▋ | 2852/5000 [7:39:30<3:10:33, 5.32s/it] 57%|█████▋ | 2853/5000 [7:39:35<3:09:52, 5.31s/it] 57%|█████▋ | 2854/5000 [7:39:40<3:08:09, 5.26s/it] 57%|█████▋ | 2855/5000 [7:39:45<3:07:28, 5.24s/it] 57%|█████▋ | 2856/5000 [7:39:51<3:07:08, 5.24s/it] 57%|█████▋ | 2857/5000 [7:39:56<3:07:16, 5.24s/it] 57%|█████▋ | 2858/5000 [7:40:04<3:33:49, 5.99s/it] 57%|█████▋ | 2859/5000 [7:40:09<3:25:11, 5.75s/it] 57%|█████▋ | 2860/5000 [7:40:15<3:32:26, 5.96s/it] 57%|█████▋ | 2861/5000 [7:40:21<3:24:56, 5.75s/it] 57%|█████▋ | 2862/5000 [7:40:26<3:18:09, 5.56s/it] 57%|█████▋ | 2863/5000 [7:40:32<3:24:49, 5.75s/it] 57%|█████▋ | 2864/5000 [7:40:38<3:24:56, 5.76s/it] 57%|█████▋ | 2865/5000 [7:40:43<3:19:02, 5.59s/it] 57%|█████▋ | 2866/5000 [7:40:48<3:15:16, 5.49s/it] 57%|█████▋ | 2867/5000 [7:40:53<3:12:58, 5.43s/it] 57%|█████▋ | 2868/5000 [7:40:59<3:11:05, 5.38s/it] 57%|█████▋ | 2869/5000 [7:41:05<3:21:38, 5.68s/it] 57%|█████▋ | 2870/5000 [7:41:10<3:16:48, 5.54s/it] 57%|█████▋ | 2871/5000 [7:41:16<3:13:43, 5.46s/it] 57%|█████▋ | 2872/5000 [7:41:21<3:11:03, 5.39s/it] 57%|█████▋ | 2873/5000 [7:41:28<3:31:35, 5.97s/it] 57%|█████▋ | 2874/5000 [7:41:33<3:24:46, 5.78s/it] 57%|█████▊ | 2875/5000 [7:41:38<3:17:16, 5.57s/it] 57%|█████▊ | 2875/5000 [7:41:38<3:17:16, 5.57s/it] 58%|█████▊ | 2876/5000 [7:41:44<3:12:56, 5.45s/it] 58%|█████▊ | 2877/5000 [7:41:49<3:10:22, 5.38s/it] 58%|█████▊ | 2878/5000 [7:41:54<3:07:32, 5.30s/it] 58%|█████▊ | 2879/5000 [7:41:59<3:06:23, 5.27s/it] 58%|█████▊ | 2880/5000 [7:42:04<3:06:09, 5.27s/it] 58%|█████▊ | 2881/5000 [7:42:10<3:13:29, 5.48s/it] 58%|█████▊ | 2882/5000 [7:42:16<3:10:59, 5.41s/it] 58%|█████▊ | 2883/5000 [7:42:21<3:07:56, 5.33s/it] 58%|█████▊ | 2884/5000 [7:42:26<3:06:37, 5.29s/it] 58%|█████▊ | 2885/5000 [7:42:32<3:12:34, 5.46s/it] 58%|█████▊ | 2886/5000 [7:42:37<3:09:46, 5.39s/it] 58%|█████▊ | 2887/5000 [7:42:42<3:08:35, 5.36s/it] 58%|█████▊ | 2888/5000 [7:42:48<3:07:27, 5.33s/it] 58%|█████▊ | 2889/5000 [7:42:53<3:06:39, 5.31s/it] 58%|█████▊ | 2890/5000 [7:42:59<3:14:27, 5.53s/it] 58%|█████▊ | 2891/5000 [7:43:04<3:09:48, 5.40s/it] 58%|█████▊ | 2892/5000 [7:43:09<3:08:10, 5.36s/it] 58%|█████▊ | 2893/5000 [7:43:14<3:06:24, 5.31s/it] 58%|█████▊ | 2894/5000 [7:43:20<3:05:54, 5.30s/it] 58%|█████▊ | 2895/5000 [7:43:29<3:45:42, 6.43s/it] 58%|█████▊ | 2896/5000 [7:43:34<3:33:21, 6.08s/it] 58%|█████▊ | 2897/5000 [7:43:39<3:23:00, 5.79s/it] 58%|█████▊ | 2898/5000 [7:43:44<3:17:00, 5.62s/it] 58%|█████▊ | 2899/5000 [7:43:50<3:12:31, 5.50s/it] 58%|█████▊ | 2900/5000 [7:43:55<3:09:41, 5.42s/it] 58%|█████▊ | 2900/5000 [7:43:55<3:09:41, 5.42s/it] 58%|█████▊ | 2901/5000 [7:44:00<3:08:06, 5.38s/it] 58%|█████▊ | 2902/5000 [7:44:05<3:06:03, 5.32s/it] 58%|█████▊ | 2903/5000 [7:44:11<3:05:37, 5.31s/it] 58%|█████▊ | 2904/5000 [7:44:16<3:05:39, 5.31s/it] 58%|█████▊ | 2905/5000 [7:44:21<3:04:22, 5.28s/it] 58%|█████▊ | 2906/5000 [7:44:28<3:25:26, 5.89s/it] 58%|█████▊ | 2907/5000 [7:44:34<3:17:23, 5.66s/it] 58%|█████▊ | 2908/5000 [7:44:39<3:13:46, 5.56s/it] 58%|█████▊ | 2909/5000 [7:44:44<3:08:57, 5.42s/it] 58%|█████▊ | 2910/5000 [7:44:53<3:43:20, 6.41s/it] 58%|█████▊ | 2911/5000 [7:44:58<3:30:38, 6.05s/it] 58%|█████▊ | 2912/5000 [7:45:03<3:23:21, 5.84s/it] 58%|█████▊ | 2913/5000 [7:45:10<3:29:07, 6.01s/it] 58%|█████▊ | 2914/5000 [7:45:15<3:21:39, 5.80s/it] 58%|█████▊ | 2915/5000 [7:45:20<3:16:07, 5.64s/it] 58%|█████▊ | 2916/5000 [7:45:26<3:21:49, 5.81s/it] 58%|█████▊ | 2917/5000 [7:45:33<3:26:10, 5.94s/it] 58%|█████▊ | 2918/5000 [7:45:38<3:19:07, 5.74s/it] 58%|█████▊ | 2919/5000 [7:45:43<3:14:37, 5.61s/it] 58%|█████▊ | 2920/5000 [7:45:49<3:16:39, 5.67s/it] 58%|█████▊ | 2921/5000 [7:45:54<3:12:57, 5.57s/it] 58%|█████▊ | 2922/5000 [7:46:00<3:08:38, 5.45s/it] 58%|█████▊ | 2923/5000 [7:46:05<3:06:24, 5.38s/it] 58%|█████▊ | 2924/5000 [7:46:10<3:05:51, 5.37s/it] 58%|█████▊ | 2925/5000 [7:46:16<3:05:15, 5.36s/it] 58%|█████▊ | 2925/5000 [7:46:16<3:05:15, 5.36s/it] 59%|█████▊ | 2926/5000 [7:46:21<3:03:53, 5.32s/it] 59%|█████▊ | 2927/5000 [7:46:26<3:03:22, 5.31s/it] 59%|█████▊ | 2928/5000 [7:46:33<3:17:05, 5.71s/it] 59%|█████▊ | 2929/5000 [7:46:38<3:11:46, 5.56s/it] 59%|█████▊ | 2930/5000 [7:46:44<3:19:02, 5.77s/it] 59%|█████▊ | 2931/5000 [7:46:49<3:13:20, 5.61s/it] 59%|█████▊ | 2932/5000 [7:46:55<3:09:35, 5.50s/it] 59%|█████▊ | 2933/5000 [7:47:00<3:13:07, 5.61s/it] 59%|█████▊ | 2934/5000 [7:47:06<3:13:28, 5.62s/it] 59%|█████▊ | 2935/5000 [7:47:11<3:08:50, 5.49s/it] 59%|█████▊ | 2936/5000 [7:47:17<3:06:38, 5.43s/it] 59%|█████▊ | 2937/5000 [7:47:22<3:04:37, 5.37s/it] 59%|█████▉ | 2938/5000 [7:47:27<3:03:22, 5.34s/it] 59%|█████▉ | 2939/5000 [7:47:32<3:03:17, 5.34s/it] 59%|█████▉ | 2940/5000 [7:47:38<3:02:20, 5.31s/it] 59%|█████▉ | 2941/5000 [7:47:43<3:01:32, 5.29s/it] 59%|█████▉ | 2942/5000 [7:47:49<3:11:53, 5.59s/it] 59%|█████▉ | 2943/5000 [7:47:56<3:27:03, 6.04s/it] 59%|█████▉ | 2944/5000 [7:48:02<3:18:18, 5.79s/it] 59%|█████▉ | 2945/5000 [7:48:07<3:15:14, 5.70s/it] 59%|█████▉ | 2946/5000 [7:48:12<3:09:28, 5.54s/it] 59%|█████▉ | 2947/5000 [7:48:17<3:05:44, 5.43s/it] 59%|█████▉ | 2948/5000 [7:48:23<3:06:39, 5.46s/it] 59%|█████▉ | 2949/5000 [7:48:28<3:04:29, 5.40s/it] 59%|█████▉ | 2950/5000 [7:48:36<3:34:50, 6.29s/it] 59%|█████▉ | 2950/5000 [7:48:36<3:34:50, 6.29s/it] 59%|█████▉ | 2951/5000 [7:48:42<3:22:49, 5.94s/it] 59%|█████▉ | 2952/5000 [7:48:47<3:14:22, 5.69s/it] 59%|█████▉ | 2953/5000 [7:48:52<3:07:52, 5.51s/it] 59%|█████▉ | 2954/5000 [7:48:57<3:05:26, 5.44s/it] 59%|█████▉ | 2955/5000 [7:49:02<3:02:45, 5.36s/it] 59%|█████▉ | 2956/5000 [7:49:07<3:00:17, 5.29s/it] 59%|█████▉ | 2957/5000 [7:49:12<2:58:00, 5.23s/it] 59%|█████▉ | 2958/5000 [7:49:18<2:58:11, 5.24s/it] 59%|█████▉ | 2959/5000 [7:49:23<2:59:00, 5.26s/it] 59%|█████▉ | 2960/5000 [7:49:28<2:58:52, 5.26s/it] 59%|█████▉ | 2961/5000 [7:49:33<2:57:41, 5.23s/it] 59%|█████▉ | 2962/5000 [7:49:39<2:56:52, 5.21s/it] 59%|█████▉ | 2963/5000 [7:49:44<2:56:37, 5.20s/it] 59%|█████▉ | 2964/5000 [7:49:49<2:55:35, 5.17s/it] 59%|█████▉ | 2965/5000 [7:49:54<2:56:25, 5.20s/it] 59%|█████▉ | 2966/5000 [7:49:59<2:56:07, 5.20s/it] 59%|█████▉ | 2967/5000 [7:50:05<2:55:40, 5.18s/it] 59%|█████▉ | 2968/5000 [7:50:10<2:55:45, 5.19s/it] 59%|█████▉ | 2969/5000 [7:50:15<2:55:16, 5.18s/it] 59%|█████▉ | 2970/5000 [7:50:20<2:56:05, 5.20s/it] 59%|█████▉ | 2971/5000 [7:50:25<2:56:41, 5.22s/it] 59%|█████▉ | 2972/5000 [7:50:31<2:55:45, 5.20s/it] 59%|█████▉ | 2973/5000 [7:50:36<2:55:20, 5.19s/it] 59%|█████▉ | 2974/5000 [7:50:41<2:56:47, 5.24s/it] 60%|█████▉ | 2975/5000 [7:50:46<2:57:45, 5.27s/it] 60%|█████▉ | 2975/5000 [7:50:46<2:57:45, 5.27s/it] 60%|█████▉ | 2976/5000 [7:50:52<2:57:18, 5.26s/it] 60%|█████▉ | 2977/5000 [7:50:57<2:56:44, 5.24s/it] 60%|█████▉ | 2978/5000 [7:51:02<2:55:53, 5.22s/it] 60%|█████▉ | 2979/5000 [7:51:07<2:55:36, 5.21s/it] 60%|█████▉ | 2980/5000 [7:51:12<2:55:18, 5.21s/it] 60%|█████▉ | 2981/5000 [7:51:18<2:56:37, 5.25s/it] 60%|█████▉ | 2982/5000 [7:51:23<2:55:57, 5.23s/it] 60%|█████▉ | 2983/5000 [7:51:29<3:08:33, 5.61s/it] 60%|█████▉ | 2984/5000 [7:51:35<3:04:51, 5.50s/it] 60%|█████▉ | 2985/5000 [7:51:40<3:01:02, 5.39s/it] 60%|█████▉ | 2986/5000 [7:51:45<2:57:46, 5.30s/it] 60%|█████▉ | 2987/5000 [7:51:51<3:09:10, 5.64s/it] 60%|█████▉ | 2988/5000 [7:51:57<3:05:08, 5.52s/it] 60%|█████▉ | 2989/5000 [7:52:04<3:22:53, 6.05s/it] 60%|█████▉ | 2990/5000 [7:52:11<3:29:59, 6.27s/it] 60%|█████▉ | 2991/5000 [7:52:16<3:19:23, 5.95s/it] 60%|█████▉ | 2992/5000 [7:52:21<3:15:51, 5.85s/it] 60%|█████▉ | 2993/5000 [7:52:27<3:08:33, 5.64s/it] 60%|█████▉ | 2994/5000 [7:52:32<3:03:05, 5.48s/it] 60%|█████▉ | 2995/5000 [7:52:37<2:59:49, 5.38s/it] 60%|█████▉ | 2996/5000 [7:52:42<3:00:22, 5.40s/it] 60%|█████▉ | 2997/5000 [7:52:50<3:22:02, 6.05s/it] 60%|█████▉ | 2998/5000 [7:52:55<3:13:51, 5.81s/it] 60%|█████▉ | 2999/5000 [7:53:01<3:11:47, 5.75s/it] 60%|██████ | 3000/5000 [7:53:06<3:05:59, 5.58s/it] 60%|██████ | 3000/5000 [7:53:06<3:05:59, 5.58s/it][INFO|trainer.py:2956] 2022-12-12 21:28:34,496 >> ***** Running Evaluation ***** [INFO|trainer.py:2960] 2022-12-12 21:28:34,496 >> Num examples: Unknown [INFO|trainer.py:2961] 2022-12-12 21:28:34,496 >> Batch size = 16 [INFO|trainer_utils.py:689] 2022-12-12 21:28:46,976 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 60%|██████ | 3000/5000 [9:28:44<3:05:59, 5.58s/it][INFO|trainer.py:2701] 2022-12-12 23:04:12,218 >> Saving model checkpoint to ./checkpoint-3000 [INFO|configuration_utils.py:447] 2022-12-12 23:04:12,219 >> Configuration saved in ./checkpoint-3000/config.json [INFO|modeling_utils.py:1671] 2022-12-12 23:04:14,766 >> Model weights saved in ./checkpoint-3000/pytorch_model.bin [INFO|feature_extraction_utils.py:368] 2022-12-12 23:04:14,781 >> Feature extractor saved in ./checkpoint-3000/preprocessor_config.json [INFO|feature_extraction_utils.py:368] 2022-12-12 23:04:24,354 >> Feature extractor saved in ./preprocessor_config.json 60%|██████ | 3001/5000 [9:30:31<975:50:39, 1757.40s/it] 60%|██████ | 3002/5000 [9:30:38<683:55:37, 1232.30s/it] 60%|██████ | 3003/5000 [9:30:44<479:31:43, 864.45s/it] 60%|██████ | 3004/5000 [9:30:52<336:47:03, 607.43s/it] 60%|██████ | 3005/5000 [9:31:04<237:35:50, 428.75s/it] 60%|██████ | 3006/5000 [9:31:09<167:08:53, 301.77s/it] 60%|██████ | 3007/5000 [9:31:14<117:49:30, 212.83s/it] 60%|██████ | 3008/5000 [9:31:20<83:18:52, 150.57s/it] 60%|██████ | 3009/5000 [9:31:25<59:08:55, 106.95s/it] 60%|██████ | 3010/5000 [9:31:30<42:18:36, 76.54s/it] 60%|██████ | 3011/5000 [9:31:36<30:26:58, 55.11s/it] 60%|██████ | 3012/5000 [9:31:41<22:09:17, 40.12s/it] 60%|██████ | 3013/5000 [9:31:46<16:24:59, 29.74s/it] 60%|██████ | 3014/5000 [9:31:51<12:21:06, 22.39s/it] 60%|██████ | 3015/5000 [9:31:57<9:29:17, 17.21s/it] 60%|██████ | 3016/5000 [9:32:02<7:29:22, 13.59s/it] 60%|██████ | 3017/5000 [9:32:07<6:05:37, 11.06s/it] 60%|██████ | 3018/5000 [9:32:12<5:08:49, 9.35s/it] 60%|██████ | 3019/5000 [9:32:17<4:27:43, 8.11s/it] 60%|██████ | 3020/5000 [9:32:24<4:11:39, 7.63s/it] 60%|██████ | 3021/5000 [9:32:29<3:47:39, 6.90s/it] 60%|██████ | 3022/5000 [9:32:34<3:29:32, 6.36s/it] 60%|██████ | 3023/5000 [9:32:39<3:16:58, 5.98s/it] 60%|██████ | 3024/5000 [9:32:44<3:08:09, 5.71s/it] 60%|██████ | 3025/5000 [9:32:50<3:02:08, 5.53s/it] 60%|██████ | 3025/5000 [9:32:50<3:02:08, 5.53s/it] 61%|██████ | 3026/5000 [9:32:55<2:57:57, 5.41s/it] 61%|██████ | 3027/5000 [9:33:00<2:54:51, 5.32s/it] 61%|██████ | 3028/5000 [9:33:05<2:52:33, 5.25s/it] 61%|██████ | 3029/5000 [9:33:10<2:51:39, 5.23s/it] 61%|██████ | 3030/5000 [9:33:15<2:50:41, 5.20s/it] 61%|██████ | 3031/5000 [9:33:20<2:49:59, 5.18s/it] 61%|██████ | 3032/5000 [9:33:25<2:49:34, 5.17s/it] 61%|██████ | 3033/5000 [9:33:31<2:49:17, 5.16s/it] 61%|██████ | 3034/5000 [9:33:36<2:49:24, 5.17s/it] 61%|██████ | 3035/5000 [9:33:41<2:49:00, 5.16s/it] 61%|██████ | 3036/5000 [9:33:46<2:48:40, 5.15s/it] 61%|██████ | 3037/5000 [9:33:51<2:48:28, 5.15s/it] 61%|██████ | 3038/5000 [9:33:56<2:48:15, 5.15s/it] 61%|██████ | 3039/5000 [9:34:02<2:48:13, 5.15s/it] 61%|██████ | 3040/5000 [9:34:07<2:48:00, 5.14s/it] 61%|██████ | 3041/5000 [9:34:12<2:47:33, 5.13s/it] 61%|██████ | 3042/5000 [9:34:17<2:47:33, 5.13s/it] 61%|██████ | 3043/5000 [9:34:22<2:47:33, 5.14s/it] 61%|██████ | 3044/5000 [9:34:27<2:47:56, 5.15s/it] 61%|██████ | 3045/5000 [9:34:32<2:47:30, 5.14s/it] 61%|██████ | 3046/5000 [9:34:38<2:47:31, 5.14s/it] 61%|██████ | 3047/5000 [9:34:43<2:47:12, 5.14s/it] 61%|██████ | 3048/5000 [9:34:48<2:47:22, 5.14s/it] 61%|██████ | 3049/5000 [9:34:53<2:47:20, 5.15s/it] 61%|██████ | 3050/5000 [9:34:58<2:47:04, 5.14s/it] 61%|██████ | 3050/5000 [9:34:58<2:47:04, 5.14s/it] 61%|██████ | 3051/5000 [9:35:03<2:46:22, 5.12s/it] 61%|██████ | 3052/5000 [9:35:08<2:48:03, 5.18s/it] 61%|██████ | 3053/5000 [9:35:14<2:47:59, 5.18s/it] 61%|██████ | 3054/5000 [9:35:19<2:47:13, 5.16s/it] 61%|██████ | 3055/5000 [9:35:24<2:46:35, 5.14s/it] 61%|██████ | 3056/5000 [9:35:29<2:46:14, 5.13s/it] 61%|██████ | 3057/5000 [9:35:34<2:46:05, 5.13s/it] 61%|██████ | 3058/5000 [9:35:39<2:46:05, 5.13s/it] 61%|██████ | 3059/5000 [9:35:52<4:01:47, 7.47s/it] 61%|██████ | 3060/5000 [9:36:01<4:15:59, 7.92s/it] 61%|██████ | 3061/5000 [9:36:06<3:49:49, 7.11s/it] 61%|██████ | 3062/5000 [9:36:12<3:33:05, 6.60s/it] 61%|██████▏ | 3063/5000 [9:36:18<3:30:14, 6.51s/it] 61%|██████▏ | 3064/5000 [9:36:24<3:20:09, 6.20s/it] 61%|██████▏ | 3065/5000 [9:36:29<3:11:43, 5.95s/it] 61%|██████▏ | 3066/5000 [9:36:34<3:06:06, 5.77s/it] 61%|██████▏ | 3067/5000 [9:36:41<3:19:25, 6.19s/it] 61%|██████▏ | 3068/5000 [9:36:47<3:09:59, 5.90s/it] 61%|██████▏ | 3069/5000 [9:36:52<3:04:53, 5.75s/it] 61%|██████▏ | 3070/5000 [9:36:57<3:00:45, 5.62s/it] 61%|██████▏ | 3071/5000 [9:37:03<2:58:00, 5.54s/it] 61%|██████▏ | 3072/5000 [9:37:08<2:55:50, 5.47s/it] 61%|██████▏ | 3073/5000 [9:37:13<2:54:40, 5.44s/it] 61%|██████▏ | 3074/5000 [9:37:20<3:06:43, 5.82s/it] 62%|██████▏ | 3075/5000 [9:37:25<3:02:15, 5.68s/it] 62%|██████▏ | 3075/5000 [9:37:25<3:02:15, 5.68s/it] 62%|██████▏ | 3076/5000 [9:37:32<3:13:31, 6.04s/it] 62%|██████▏ | 3077/5000 [9:37:38<3:06:15, 5.81s/it] 62%|██████▏ | 3078/5000 [9:37:43<3:02:52, 5.71s/it] 62%|██████▏ | 3079/5000 [9:37:49<3:07:27, 5.86s/it] 62%|██████▏ | 3080/5000 [9:37:54<3:01:36, 5.68s/it] 62%|██████▏ | 3081/5000 [9:38:00<2:57:48, 5.56s/it] 62%|██████▏ | 3082/5000 [9:38:06<3:02:08, 5.70s/it] 62%|██████▏ | 3083/5000 [9:38:12<3:02:40, 5.72s/it] 62%|██████▏ | 3084/5000 [9:38:17<2:57:58, 5.57s/it] 62%|██████▏ | 3085/5000 [9:38:22<2:55:49, 5.51s/it] 62%|██████▏ | 3086/5000 [9:38:28<2:54:30, 5.47s/it] 62%|██████▏ | 3087/5000 [9:38:33<2:53:01, 5.43s/it] 62%|██████▏ | 3088/5000 [9:38:40<3:05:23, 5.82s/it] 62%|██████▏ | 3089/5000 [9:38:47<3:15:48, 6.15s/it] 62%|██████▏ | 3090/5000 [9:38:52<3:07:28, 5.89s/it] 62%|██████▏ | 3091/5000 [9:38:57<3:01:59, 5.72s/it] 62%|██████▏ | 3092/5000 [9:39:02<2:57:47, 5.59s/it] 62%|██████▏ | 3093/5000 [9:39:08<2:55:37, 5.53s/it] 62%|██████▏ | 3094/5000 [9:39:17<3:30:11, 6.62s/it] 62%|██████▏ | 3095/5000 [9:39:22<3:17:05, 6.21s/it] 62%|██████▏ | 3096/5000 [9:39:28<3:09:47, 5.98s/it] 62%|██████▏ | 3097/5000 [9:39:33<3:03:36, 5.79s/it] 62%|██████▏ | 3098/5000 [9:39:38<2:59:21, 5.66s/it] 62%|██████▏ | 3099/5000 [9:39:44<2:55:57, 5.55s/it] 62%|██████▏ | 3100/5000 [9:39:49<2:52:59, 5.46s/it] 62%|██████▏ | 3100/5000 [9:39:49<2:52:59, 5.46s/it] 62%|██████▏ | 3101/5000 [9:39:54<2:51:15, 5.41s/it] 62%|██████▏ | 3102/5000 [9:40:00<2:50:57, 5.40s/it] 62%|██████▏ | 3103/5000 [9:40:08<3:19:00, 6.29s/it] 62%|██████▏ | 3104/5000 [9:40:13<3:09:37, 6.00s/it] 62%|██████▏ | 3105/5000 [9:40:19<3:02:08, 5.77s/it] 62%|██████▏ | 3106/5000 [9:40:24<2:57:38, 5.63s/it] 62%|██████▏ | 3107/5000 [9:40:31<3:09:36, 6.01s/it] 62%|██████▏ | 3108/5000 [9:40:36<3:03:00, 5.80s/it] 62%|██████▏ | 3109/5000 [9:40:41<2:58:39, 5.67s/it] 62%|██████▏ | 3110/5000 [9:40:47<2:53:52, 5.52s/it] 62%|██████▏ | 3111/5000 [9:40:53<2:59:27, 5.70s/it] 62%|██████▏ | 3112/5000 [9:40:58<2:55:50, 5.59s/it] 62%|██████▏ | 3113/5000 [9:41:06<3:22:53, 6.45s/it] 62%|██████▏ | 3114/5000 [9:41:16<3:53:26, 7.43s/it] 62%|██████▏ | 3115/5000 [9:41:21<3:30:56, 6.71s/it] 62%|██████▏ | 3116/5000 [9:41:26<3:15:07, 6.21s/it] 62%|██████▏ | 3117/5000 [9:41:31<3:04:08, 5.87s/it] 62%|██████▏ | 3118/5000 [9:41:36<2:56:57, 5.64s/it] 62%|██████▏ | 3119/5000 [9:41:42<2:52:08, 5.49s/it] 62%|██████▏ | 3120/5000 [9:41:47<2:48:40, 5.38s/it] 62%|██████▏ | 3121/5000 [9:41:52<2:46:19, 5.31s/it] 62%|██████▏ | 3122/5000 [9:41:57<2:44:21, 5.25s/it] 62%|██████▏ | 3123/5000 [9:42:02<2:42:49, 5.21s/it] 62%|██████▏ | 3124/5000 [9:42:07<2:41:57, 5.18s/it] 62%|██████▎ | 3125/5000 [9:42:12<2:41:20, 5.16s/it] 62%|██████▎ | 3125/5000 [9:42:12<2:41:20, 5.16s/it] 63%|██████▎ | 3126/5000 [9:42:17<2:40:50, 5.15s/it] 63%|██████▎ | 3127/5000 [9:42:23<2:40:49, 5.15s/it] 63%|██████▎ | 3128/5000 [9:42:28<2:40:37, 5.15s/it] 63%|██████▎ | 3129/5000 [9:42:33<2:40:13, 5.14s/it] 63%|██████▎ | 3130/5000 [9:42:38<2:40:01, 5.13s/it] 63%|██████▎ | 3131/5000 [9:42:43<2:39:47, 5.13s/it] 63%|██████▎ | 3132/5000 [9:42:48<2:39:42, 5.13s/it] 63%|██████▎ | 3133/5000 [9:42:53<2:40:22, 5.15s/it] 63%|██████▎ | 3134/5000 [9:42:59<2:42:36, 5.23s/it] 63%|██████▎ | 3135/5000 [9:43:04<2:41:41, 5.20s/it] 63%|██████▎ | 3136/5000 [9:43:09<2:41:08, 5.19s/it] 63%|██████▎ | 3137/5000 [9:43:14<2:40:27, 5.17s/it] 63%|██████▎ | 3138/5000 [9:43:20<2:49:36, 5.47s/it] 63%|██████▎ | 3139/5000 [9:43:26<2:50:10, 5.49s/it] 63%|██████▎ | 3140/5000 [9:43:31<2:48:14, 5.43s/it] 63%|██████▎ | 3141/5000 [9:43:37<2:47:12, 5.40s/it] 63%|██████▎ | 3142/5000 [9:43:42<2:45:40, 5.35s/it] 63%|██████▎ | 3143/5000 [9:43:47<2:46:01, 5.36s/it] 63%|██████▎ | 3144/5000 [9:43:53<2:49:47, 5.49s/it] 63%|██████▎ | 3145/5000 [9:44:00<3:04:19, 5.96s/it] 63%|██████▎ | 3146/5000 [9:44:07<3:15:35, 6.33s/it] 63%|██████▎ | 3147/5000 [9:44:13<3:05:59, 6.02s/it] 63%|██████▎ | 3148/5000 [9:44:18<3:01:33, 5.88s/it] 63%|██████▎ | 3149/5000 [9:44:24<2:57:11, 5.74s/it] 63%|██████▎ | 3150/5000 [9:44:29<2:52:06, 5.58s/it] 63%|██████▎ | 3150/5000 [9:44:29<2:52:06, 5.58s/it] 63%|██████▎ | 3151/5000 [9:44:34<2:49:00, 5.48s/it] 63%|██████▎ | 3152/5000 [9:44:39<2:48:01, 5.46s/it] 63%|██████▎ | 3153/5000 [9:44:46<2:54:32, 5.67s/it] 63%|██████▎ | 3154/5000 [9:44:51<2:51:58, 5.59s/it] 63%|██████▎ | 3155/5000 [9:44:56<2:49:59, 5.53s/it] 63%|██████▎ | 3156/5000 [9:45:03<3:00:00, 5.86s/it] 63%|██████▎ | 3157/5000 [9:45:08<2:55:37, 5.72s/it] 63%|██████▎ | 3158/5000 [9:45:17<3:20:15, 6.52s/it] 63%|██████▎ | 3159/5000 [9:45:22<3:09:32, 6.18s/it] 63%|██████▎ | 3160/5000 [9:45:28<3:03:48, 5.99s/it] 63%|██████▎ | 3161/5000 [9:45:33<2:58:32, 5.83s/it] 63%|██████▎ | 3162/5000 [9:45:40<3:08:22, 6.15s/it] 63%|██████▎ | 3163/5000 [9:45:45<3:01:26, 5.93s/it] 63%|██████▎ | 3164/5000 [9:45:51<2:56:27, 5.77s/it] 63%|██████▎ | 3165/5000 [9:45:57<2:55:51, 5.75s/it] 63%|██████▎ | 3166/5000 [9:46:02<2:51:00, 5.59s/it] 63%|██████▎ | 3167/5000 [9:46:07<2:49:02, 5.53s/it] 63%|██████▎ | 3168/5000 [9:46:13<2:47:23, 5.48s/it] 63%|██████▎ | 3169/5000 [9:46:24<3:38:30, 7.16s/it] 63%|██████▎ | 3170/5000 [9:46:29<3:21:01, 6.59s/it] 63%|██████▎ | 3171/5000 [9:46:34<3:09:20, 6.21s/it] 63%|██████▎ | 3172/5000 [9:46:39<3:01:03, 5.94s/it] 63%|██████▎ | 3173/5000 [9:46:46<3:07:25, 6.16s/it] 63%|██████▎ | 3174/5000 [9:46:52<3:02:59, 6.01s/it] 64%|██████▎ | 3175/5000 [9:46:57<2:57:09, 5.82s/it] 64%|██████▎ | 3175/5000 [9:46:57<2:57:09, 5.82s/it] 64%|██████▎ | 3176/5000 [9:47:04<3:05:53, 6.11s/it] 64%|██████▎ | 3177/5000 [9:47:09<2:58:42, 5.88s/it] 64%|██████▎ | 3178/5000 [9:47:15<2:53:52, 5.73s/it] 64%|██████▎ | 3179/5000 [9:47:20<2:49:20, 5.58s/it] 64%|██████▎ | 3180/5000 [9:47:25<2:47:06, 5.51s/it] 64%|██████▎ | 3181/5000 [9:47:31<2:45:43, 5.47s/it] 64%|██████▎ | 3182/5000 [9:47:36<2:43:07, 5.38s/it] 64%|██████▎ | 3183/5000 [9:47:43<2:59:40, 5.93s/it] 64%|██████▎ | 3184/5000 [9:47:48<2:55:10, 5.79s/it] 64%|██████▎ | 3185/5000 [9:47:54<2:50:29, 5.64s/it] 64%|██████▎ | 3186/5000 [9:47:59<2:46:08, 5.50s/it] 64%|██████▎ | 3187/5000 [9:48:04<2:43:28, 5.41s/it] 64%|██████▍ | 3188/5000 [9:48:09<2:42:07, 5.37s/it] 64%|██████▍ | 3189/5000 [9:48:15<2:40:24, 5.31s/it] 64%|██████▍ | 3190/5000 [9:48:20<2:39:17, 5.28s/it] 64%|██████▍ | 3191/5000 [9:48:25<2:41:27, 5.36s/it] 64%|██████▍ | 3192/5000 [9:48:32<2:49:13, 5.62s/it] 64%|██████▍ | 3193/5000 [9:48:37<2:45:20, 5.49s/it] 64%|██████▍ | 3194/5000 [9:48:43<2:52:20, 5.73s/it] 64%|██████▍ | 3195/5000 [9:48:48<2:49:26, 5.63s/it] 64%|██████▍ | 3196/5000 [9:48:54<2:46:01, 5.52s/it] 64%|██████▍ | 3197/5000 [9:48:59<2:42:40, 5.41s/it] 64%|██████▍ | 3198/5000 [9:49:04<2:41:28, 5.38s/it] 64%|██████▍ | 3199/5000 [9:49:09<2:40:05, 5.33s/it] 64%|██████▍ | 3200/5000 [9:49:15<2:43:43, 5.46s/it] 64%|██████▍ | 3200/5000 [9:49:15<2:43:43, 5.46s/it] 64%|██████▍ | 3201/5000 [9:49:21<2:43:12, 5.44s/it] 64%|██████▍ | 3202/5000 [9:49:26<2:41:06, 5.38s/it] 64%|██████▍ | 3203/5000 [9:49:31<2:39:47, 5.34s/it] 64%|██████▍ | 3204/5000 [9:49:36<2:38:23, 5.29s/it] 64%|██████▍ | 3205/5000 [9:49:42<2:38:20, 5.29s/it] 64%|██████▍ | 3206/5000 [9:49:47<2:38:01, 5.29s/it] 64%|██████▍ | 3207/5000 [9:49:52<2:38:11, 5.29s/it] 64%|██████▍ | 3208/5000 [9:49:57<2:37:17, 5.27s/it] 64%|██████▍ | 3209/5000 [9:50:03<2:36:43, 5.25s/it] 64%|██████▍ | 3210/5000 [9:50:08<2:39:48, 5.36s/it] 64%|██████▍ | 3211/5000 [9:50:13<2:36:51, 5.26s/it] 64%|██████▍ | 3212/5000 [9:50:18<2:36:53, 5.26s/it] 64%|██████▍ | 3213/5000 [9:50:24<2:36:24, 5.25s/it] 64%|██████▍ | 3214/5000 [9:50:29<2:35:53, 5.24s/it] 64%|██████▍ | 3215/5000 [9:50:35<2:44:50, 5.54s/it] 64%|██████▍ | 3216/5000 [9:50:41<2:44:57, 5.55s/it] 64%|██████▍ | 3217/5000 [9:50:46<2:42:05, 5.45s/it] 64%|██████▍ | 3218/5000 [9:50:51<2:39:47, 5.38s/it] 64%|██████▍ | 3219/5000 [9:50:56<2:38:13, 5.33s/it] 64%|██████▍ | 3220/5000 [9:51:01<2:36:12, 5.27s/it] 64%|██████▍ | 3221/5000 [9:51:08<2:43:23, 5.51s/it] 64%|██████▍ | 3222/5000 [9:51:13<2:40:01, 5.40s/it] 64%|██████▍ | 3223/5000 [9:51:18<2:39:06, 5.37s/it] 64%|██████▍ | 3224/5000 [9:51:27<3:11:21, 6.46s/it] 64%|██████▍ | 3225/5000 [9:51:32<3:01:02, 6.12s/it] 64%|██████▍ | 3225/5000 [9:51:32<3:01:02, 6.12s/it] 65%|██████▍ | 3226/5000 [9:51:38<2:53:25, 5.87s/it] 65%|██████▍ | 3227/5000 [9:51:43<2:47:47, 5.68s/it] 65%|██████▍ | 3228/5000 [9:51:48<2:44:00, 5.55s/it] 65%|██████▍ | 3229/5000 [9:51:53<2:41:33, 5.47s/it] 65%|██████▍ | 3230/5000 [9:52:01<2:57:58, 6.03s/it] 65%|██████▍ | 3231/5000 [9:52:08<3:11:17, 6.49s/it] 65%|██████▍ | 3232/5000 [9:52:13<2:59:52, 6.10s/it] 65%|██████▍ | 3233/5000 [9:52:20<3:05:35, 6.30s/it] 65%|██████▍ | 3234/5000 [9:52:26<2:56:45, 6.01s/it] 65%|██████▍ | 3235/5000 [9:52:31<2:49:41, 5.77s/it] 65%|██████▍ | 3236/5000 [9:52:36<2:45:30, 5.63s/it] 65%|██████▍ | 3237/5000 [9:52:42<2:44:31, 5.60s/it] 65%|██████▍ | 3238/5000 [9:52:47<2:42:30, 5.53s/it] 65%|██████▍ | 3239/5000 [9:52:52<2:39:55, 5.45s/it] 65%|██████▍ | 3240/5000 [9:52:57<2:37:19, 5.36s/it] 65%|██████▍ | 3241/5000 [9:53:03<2:35:23, 5.30s/it] 65%|██████▍ | 3242/5000 [9:53:08<2:34:06, 5.26s/it] 65%|██████▍ | 3243/5000 [9:53:13<2:33:29, 5.24s/it] 65%|██████▍ | 3244/5000 [9:53:18<2:33:22, 5.24s/it] 65%|██████▍ | 3245/5000 [9:53:24<2:35:49, 5.33s/it] 65%|██████▍ | 3246/5000 [9:53:29<2:34:06, 5.27s/it] 65%|██████▍ | 3247/5000 [9:53:34<2:33:41, 5.26s/it] 65%|██████▍ | 3248/5000 [9:53:39<2:33:33, 5.26s/it] 65%|██████▍ | 3249/5000 [9:53:48<3:00:04, 6.17s/it] 65%|██████▌ | 3250/5000 [9:53:53<2:53:05, 5.93s/it] 65%|██████▌ | 3250/5000 [9:53:53<2:53:05, 5.93s/it] 65%|██████▌ | 3251/5000 [9:53:58<2:46:17, 5.70s/it] 65%|██████▌ | 3252/5000 [9:54:03<2:41:34, 5.55s/it] 65%|██████▌ | 3253/5000 [9:54:08<2:38:17, 5.44s/it] 65%|██████▌ | 3254/5000 [9:54:14<2:36:27, 5.38s/it] 65%|██████▌ | 3255/5000 [9:54:19<2:35:20, 5.34s/it] 65%|██████▌ | 3256/5000 [9:54:25<2:39:54, 5.50s/it] 65%|██████▌ | 3257/5000 [9:54:30<2:36:03, 5.37s/it] 65%|██████▌ | 3258/5000 [9:54:35<2:35:26, 5.35s/it] 65%|██████▌ | 3259/5000 [9:54:41<2:35:54, 5.37s/it] 65%|██████▌ | 3260/5000 [9:54:46<2:37:59, 5.45s/it] 65%|██████▌ | 3261/5000 [9:54:52<2:36:03, 5.38s/it] 65%|██████▌ | 3262/5000 [9:54:57<2:35:23, 5.36s/it] 65%|██████▌ | 3263/5000 [9:55:02<2:33:45, 5.31s/it] 65%|██████▌ | 3264/5000 [9:55:07<2:32:33, 5.27s/it] 65%|██████▌ | 3265/5000 [9:55:12<2:32:05, 5.26s/it] 65%|██████▌ | 3266/5000 [9:55:18<2:32:10, 5.27s/it] 65%|██████▌ | 3267/5000 [9:55:24<2:44:56, 5.71s/it] 65%|██████▌ | 3268/5000 [9:55:31<2:48:17, 5.83s/it] 65%|██████▌ | 3269/5000 [9:55:36<2:42:58, 5.65s/it] 65%|██████▌ | 3270/5000 [9:55:41<2:39:46, 5.54s/it] 65%|██████▌ | 3271/5000 [9:55:46<2:37:15, 5.46s/it] 65%|██████▌ | 3272/5000 [9:55:52<2:35:06, 5.39s/it] 65%|██████▌ | 3273/5000 [9:55:57<2:36:35, 5.44s/it] 65%|██████▌ | 3274/5000 [9:56:02<2:34:43, 5.38s/it] 66%|██████▌ | 3275/5000 [9:56:07<2:32:22, 5.30s/it] 66%|██████▌ | 3275/5000 [9:56:07<2:32:22, 5.30s/it] 66%|██████▌ | 3276/5000 [9:56:13<2:31:32, 5.27s/it] 66%|██████▌ | 3277/5000 [9:56:18<2:31:34, 5.28s/it] 66%|██████▌ | 3278/5000 [9:56:23<2:31:35, 5.28s/it] 66%|██████▌ | 3279/5000 [9:56:33<3:08:17, 6.56s/it] 66%|██████▌ | 3280/5000 [9:56:39<3:06:21, 6.50s/it] 66%|██████▌ | 3281/5000 [9:56:45<3:04:22, 6.44s/it] 66%|██████▌ | 3282/5000 [9:56:51<2:54:07, 6.08s/it] 66%|██████▌ | 3283/5000 [9:56:57<2:55:00, 6.12s/it] 66%|██████▌ | 3284/5000 [9:57:02<2:47:59, 5.87s/it] 66%|██████▌ | 3285/5000 [9:57:07<2:41:26, 5.65s/it] 66%|██████▌ | 3286/5000 [9:57:13<2:37:42, 5.52s/it] 66%|██████▌ | 3287/5000 [9:57:18<2:35:10, 5.44s/it] 66%|██████▌ | 3288/5000 [9:57:24<2:37:25, 5.52s/it] 66%|██████▌ | 3289/5000 [9:57:30<2:46:36, 5.84s/it] 66%|██████▌ | 3290/5000 [9:57:35<2:40:47, 5.64s/it] 66%|██████▌ | 3291/5000 [9:57:40<2:36:49, 5.51s/it] 66%|██████▌ | 3292/5000 [9:57:46<2:34:24, 5.42s/it] 66%|██████▌ | 3293/5000 [9:57:51<2:32:05, 5.35s/it] 66%|██████▌ | 3294/5000 [9:57:56<2:30:47, 5.30s/it] 66%|██████▌ | 3295/5000 [9:58:03<2:45:38, 5.83s/it] 66%|██████▌ | 3296/5000 [9:58:08<2:40:09, 5.64s/it] 66%|██████▌ | 3297/5000 [9:58:14<2:36:33, 5.52s/it] 66%|██████▌ | 3298/5000 [9:58:19<2:33:15, 5.40s/it] 66%|██████▌ | 3299/5000 [9:58:24<2:32:07, 5.37s/it] 66%|██████▌ | 3300/5000 [9:58:30<2:39:00, 5.61s/it] 66%|██████▌ | 3300/5000 [9:58:30<2:39:00, 5.61s/it] 66%|██████▌ | 3301/5000 [9:58:35<2:34:57, 5.47s/it] 66%|██████▌ | 3302/5000 [9:58:41<2:33:04, 5.41s/it] 66%|██████▌ | 3303/5000 [9:58:48<2:53:17, 6.13s/it] 66%|██████▌ | 3304/5000 [9:58:54<2:45:37, 5.86s/it] 66%|██████▌ | 3305/5000 [9:58:59<2:40:24, 5.68s/it] 66%|██████▌ | 3306/5000 [9:59:04<2:36:28, 5.54s/it] 66%|██████▌ | 3307/5000 [9:59:10<2:39:41, 5.66s/it] 66%|██████▌ | 3308/5000 [9:59:15<2:36:05, 5.54s/it] 66%|██████▌ | 3309/5000 [9:59:20<2:33:15, 5.44s/it] 66%|██████▌ | 3310/5000 [9:59:26<2:30:54, 5.36s/it] 66%|██████▌ | 3311/5000 [9:59:31<2:30:03, 5.33s/it] 66%|██████▌ | 3312/5000 [9:59:36<2:29:12, 5.30s/it] 66%|██████▋ | 3313/5000 [9:59:42<2:29:33, 5.32s/it] 66%|██████▋ | 3314/5000 [9:59:47<2:29:46, 5.33s/it] 66%|██████▋ | 3315/5000 [9:59:52<2:28:42, 5.30s/it] 66%|██████▋ | 3316/5000 [9:59:57<2:27:55, 5.27s/it] 66%|██████▋ | 3317/5000 [10:00:03<2:27:36, 5.26s/it] 66%|██████▋ | 3318/5000 [10:00:08<2:28:27, 5.30s/it] 66%|██████▋ | 3319/5000 [10:00:13<2:27:14, 5.26s/it] 66%|██████▋ | 3320/5000 [10:00:18<2:26:10, 5.22s/it] 66%|██████▋ | 3321/5000 [10:00:24<2:26:44, 5.24s/it] 66%|██████▋ | 3322/5000 [10:00:29<2:26:24, 5.24s/it] 66%|██████▋ | 3323/5000 [10:00:34<2:26:32, 5.24s/it] 66%|██████▋ | 3324/5000 [10:00:39<2:25:28, 5.21s/it] 66%|██████▋ | 3325/5000 [10:00:45<2:33:32, 5.50s/it] 66%|██████▋ | 3325/5000 [10:00:45<2:33:32, 5.50s/it] 67%|██████▋ | 3326/5000 [10:00:51<2:31:04, 5.41s/it] 67%|██████▋ | 3327/5000 [10:00:56<2:28:47, 5.34s/it] 67%|██████▋ | 3328/5000 [10:01:01<2:26:42, 5.26s/it] 67%|██████▋ | 3329/5000 [10:01:06<2:25:19, 5.22s/it] 67%|██████▋ | 3330/5000 [10:01:11<2:25:29, 5.23s/it] 67%|██████▋ | 3331/5000 [10:01:17<2:26:58, 5.28s/it] 67%|██████▋ | 3332/5000 [10:01:23<2:34:38, 5.56s/it] 67%|██████▋ | 3333/5000 [10:01:28<2:31:53, 5.47s/it] 67%|██████▋ | 3334/5000 [10:01:40<3:29:06, 7.53s/it] 67%|██████▋ | 3335/5000 [10:01:46<3:15:20, 7.04s/it] 67%|██████▋ | 3336/5000 [10:01:52<3:06:55, 6.74s/it] 67%|██████▋ | 3337/5000 [10:01:58<2:54:27, 6.29s/it] 67%|██████▋ | 3338/5000 [10:02:03<2:44:54, 5.95s/it] 67%|██████▋ | 3339/5000 [10:02:08<2:41:50, 5.85s/it] 67%|██████▋ | 3340/5000 [10:02:13<2:36:00, 5.64s/it] 67%|██████▋ | 3341/5000 [10:02:19<2:32:10, 5.50s/it] 67%|██████▋ | 3342/5000 [10:02:24<2:29:39, 5.42s/it] 67%|██████▋ | 3343/5000 [10:02:29<2:30:59, 5.47s/it] 67%|██████▋ | 3344/5000 [10:02:35<2:28:47, 5.39s/it] 67%|██████▋ | 3345/5000 [10:02:43<2:52:49, 6.27s/it] 67%|██████▋ | 3346/5000 [10:02:48<2:43:24, 5.93s/it] 67%|██████▋ | 3347/5000 [10:02:53<2:37:44, 5.73s/it] 67%|██████▋ | 3348/5000 [10:02:59<2:33:36, 5.58s/it] 67%|██████▋ | 3349/5000 [10:03:04<2:30:54, 5.48s/it] 67%|██████▋ | 3350/5000 [10:03:09<2:29:18, 5.43s/it] 67%|██████▋ | 3350/5000 [10:03:09<2:29:18, 5.43s/it] 67%|██████▋ | 3351/5000 [10:03:14<2:27:42, 5.37s/it] 67%|██████▋ | 3352/5000 [10:03:20<2:27:10, 5.36s/it] 67%|██████▋ | 3353/5000 [10:03:25<2:26:12, 5.33s/it] 67%|██████▋ | 3354/5000 [10:03:31<2:35:03, 5.65s/it] 67%|██████▋ | 3355/5000 [10:03:37<2:32:40, 5.57s/it] 67%|██████▋ | 3356/5000 [10:03:42<2:30:23, 5.49s/it] 67%|██████▋ | 3357/5000 [10:03:47<2:28:19, 5.42s/it] 67%|██████▋ | 3358/5000 [10:03:53<2:26:57, 5.37s/it] 67%|██████▋ | 3359/5000 [10:03:58<2:26:23, 5.35s/it] 67%|██████▋ | 3360/5000 [10:04:05<2:39:11, 5.82s/it] 67%|██████▋ | 3361/5000 [10:04:10<2:34:23, 5.65s/it] 67%|██████▋ | 3362/5000 [10:04:15<2:30:57, 5.53s/it] 67%|██████▋ | 3363/5000 [10:04:21<2:28:47, 5.45s/it] 67%|██████▋ | 3364/5000 [10:04:26<2:26:51, 5.39s/it] 67%|██████▋ | 3365/5000 [10:04:31<2:26:53, 5.39s/it] 67%|██████▋ | 3366/5000 [10:04:37<2:26:33, 5.38s/it] 67%|██████▋ | 3367/5000 [10:04:42<2:24:40, 5.32s/it] 67%|██████▋ | 3368/5000 [10:04:47<2:23:43, 5.28s/it] 67%|██████▋ | 3369/5000 [10:04:52<2:23:19, 5.27s/it] 67%|██████▋ | 3370/5000 [10:04:57<2:23:10, 5.27s/it] 67%|██████▋ | 3371/5000 [10:05:03<2:23:14, 5.28s/it] 67%|██████▋ | 3372/5000 [10:05:08<2:23:57, 5.31s/it] 67%|██████▋ | 3373/5000 [10:05:14<2:28:10, 5.46s/it] 67%|██████▋ | 3374/5000 [10:05:19<2:26:13, 5.40s/it] 68%|██████▊ | 3375/5000 [10:05:25<2:31:59, 5.61s/it] 68%|██████▊ | 3375/5000 [10:05:25<2:31:59, 5.61s/it] 68%|██████▊ | 3376/5000 [10:05:30<2:28:11, 5.48s/it] 68%|██████▊ | 3377/5000 [10:05:36<2:25:57, 5.40s/it] 68%|██████▊ | 3378/5000 [10:05:41<2:25:05, 5.37s/it] 68%|██████▊ | 3379/5000 [10:05:46<2:23:40, 5.32s/it] 68%|██████▊ | 3380/5000 [10:05:52<2:23:50, 5.33s/it] 68%|██████▊ | 3381/5000 [10:05:57<2:27:32, 5.47s/it] 68%|██████▊ | 3382/5000 [10:06:03<2:25:47, 5.41s/it] 68%|██████▊ | 3383/5000 [10:06:08<2:26:22, 5.43s/it] 68%|██████▊ | 3384/5000 [10:06:13<2:24:31, 5.37s/it] 68%|██████▊ | 3385/5000 [10:06:19<2:27:42, 5.49s/it] 68%|██████▊ | 3386/5000 [10:06:24<2:26:00, 5.43s/it] 68%|██████▊ | 3387/5000 [10:06:30<2:30:47, 5.61s/it] 68%|██████▊ | 3388/5000 [10:06:36<2:28:06, 5.51s/it] 68%|██████▊ | 3389/5000 [10:06:45<3:01:00, 6.74s/it] 68%|██████▊ | 3390/5000 [10:06:51<2:53:57, 6.48s/it] 68%|██████▊ | 3391/5000 [10:06:56<2:43:23, 6.09s/it] 68%|██████▊ | 3392/5000 [10:07:02<2:36:28, 5.84s/it] 68%|██████▊ | 3393/5000 [10:07:07<2:31:07, 5.64s/it] 68%|██████▊ | 3394/5000 [10:07:12<2:28:01, 5.53s/it] 68%|██████▊ | 3395/5000 [10:07:18<2:28:09, 5.54s/it] 68%|██████▊ | 3396/5000 [10:07:23<2:24:49, 5.42s/it] 68%|██████▊ | 3397/5000 [10:07:28<2:23:05, 5.36s/it] 68%|██████▊ | 3398/5000 [10:07:33<2:21:57, 5.32s/it] 68%|██████▊ | 3399/5000 [10:07:38<2:20:33, 5.27s/it] 68%|██████▊ | 3400/5000 [10:07:43<2:19:22, 5.23s/it] 68%|██████▊ | 3400/5000 [10:07:43<2:19:22, 5.23s/it] 68%|██████▊ | 3401/5000 [10:07:49<2:19:11, 5.22s/it] 68%|██████▊ | 3402/5000 [10:07:54<2:18:42, 5.21s/it] 68%|██████▊ | 3403/5000 [10:07:59<2:18:25, 5.20s/it] 68%|██████▊ | 3404/5000 [10:08:04<2:18:38, 5.21s/it] 68%|██████▊ | 3405/5000 [10:08:10<2:22:36, 5.36s/it] 68%|██████▊ | 3406/5000 [10:08:15<2:22:04, 5.35s/it] 68%|██████▊ | 3407/5000 [10:08:20<2:20:25, 5.29s/it] 68%|██████▊ | 3408/5000 [10:08:26<2:25:34, 5.49s/it] 68%|██████▊ | 3409/5000 [10:08:31<2:22:30, 5.37s/it] 68%|██████▊ | 3410/5000 [10:08:39<2:37:11, 5.93s/it] 68%|██████▊ | 3411/5000 [10:08:44<2:30:57, 5.70s/it] 68%|██████▊ | 3412/5000 [10:08:49<2:27:20, 5.57s/it] 68%|██████▊ | 3413/5000 [10:08:54<2:24:16, 5.45s/it] 68%|██████▊ | 3414/5000 [10:09:00<2:21:59, 5.37s/it] 68%|██████▊ | 3415/5000 [10:09:05<2:20:18, 5.31s/it] 68%|██████▊ | 3416/5000 [10:09:10<2:19:43, 5.29s/it] 68%|██████▊ | 3417/5000 [10:09:17<2:30:19, 5.70s/it] 68%|██████▊ | 3418/5000 [10:09:22<2:25:37, 5.52s/it] 68%|██████▊ | 3419/5000 [10:09:27<2:22:23, 5.40s/it] 68%|██████▊ | 3420/5000 [10:09:32<2:20:00, 5.32s/it] 68%|██████▊ | 3421/5000 [10:09:38<2:23:17, 5.44s/it] 68%|██████▊ | 3422/5000 [10:09:43<2:21:52, 5.39s/it] 68%|██████▊ | 3423/5000 [10:09:50<2:35:13, 5.91s/it] 68%|██████▊ | 3424/5000 [10:09:55<2:30:42, 5.74s/it] 68%|██████▊ | 3425/5000 [10:10:01<2:26:42, 5.59s/it] 68%|██████▊ | 3425/5000 [10:10:01<2:26:42, 5.59s/it] 69%|██████▊ | 3426/5000 [10:10:06<2:23:51, 5.48s/it] 69%|██████▊ | 3427/5000 [10:10:11<2:22:21, 5.43s/it] 69%|██████▊ | 3428/5000 [10:10:16<2:20:53, 5.38s/it] 69%|██████▊ | 3429/5000 [10:10:22<2:19:57, 5.35s/it] 69%|██████▊ | 3430/5000 [10:10:27<2:20:17, 5.36s/it] 69%|██████▊ | 3431/5000 [10:10:32<2:19:21, 5.33s/it] 69%|██████▊ | 3432/5000 [10:10:38<2:19:10, 5.33s/it] 69%|██████▊ | 3433/5000 [10:10:43<2:19:50, 5.35s/it] 69%|██████▊ | 3434/5000 [10:10:48<2:18:28, 5.31s/it] 69%|██████▊ | 3435/5000 [10:10:54<2:18:06, 5.30s/it] 69%|██████▊ | 3436/5000 [10:10:59<2:17:16, 5.27s/it] 69%|██████▊ | 3437/5000 [10:11:04<2:17:34, 5.28s/it] 69%|██████▉ | 3438/5000 [10:11:10<2:21:36, 5.44s/it] 69%|██████▉ | 3439/5000 [10:11:16<2:23:54, 5.53s/it] 69%|██████▉ | 3440/5000 [10:11:21<2:21:44, 5.45s/it] 69%|██████▉ | 3441/5000 [10:11:26<2:20:21, 5.40s/it] 69%|██████▉ | 3442/5000 [10:11:31<2:19:07, 5.36s/it] 69%|██████▉ | 3443/5000 [10:11:38<2:28:29, 5.72s/it] 69%|██████▉ | 3444/5000 [10:11:48<2:58:05, 6.87s/it] 69%|██████▉ | 3445/5000 [10:11:53<2:45:01, 6.37s/it] 69%|██████▉ | 3446/5000 [10:11:58<2:36:14, 6.03s/it] 69%|██████▉ | 3447/5000 [10:12:03<2:29:36, 5.78s/it] 69%|██████▉ | 3448/5000 [10:12:09<2:28:10, 5.73s/it] 69%|██████▉ | 3449/5000 [10:12:15<2:33:57, 5.96s/it] 69%|██████▉ | 3450/5000 [10:12:21<2:28:43, 5.76s/it] 69%|██████▉ | 3450/5000 [10:12:21<2:28:43, 5.76s/it] 69%|██████▉ | 3451/5000 [10:12:29<2:49:14, 6.56s/it] 69%|██████▉ | 3452/5000 [10:12:34<2:38:37, 6.15s/it] 69%|██████▉ | 3453/5000 [10:12:39<2:31:49, 5.89s/it] 69%|██████▉ | 3454/5000 [10:12:46<2:34:50, 6.01s/it] 69%|██████▉ | 3455/5000 [10:12:51<2:28:38, 5.77s/it] 69%|██████▉ | 3456/5000 [10:12:56<2:24:32, 5.62s/it] 69%|██████▉ | 3457/5000 [10:13:01<2:21:34, 5.51s/it] 69%|██████▉ | 3458/5000 [10:13:07<2:19:21, 5.42s/it] 69%|██████▉ | 3459/5000 [10:13:12<2:17:55, 5.37s/it] 69%|██████▉ | 3460/5000 [10:13:17<2:17:12, 5.35s/it] 69%|██████▉ | 3461/5000 [10:13:23<2:16:39, 5.33s/it] 69%|██████▉ | 3462/5000 [10:13:28<2:15:06, 5.27s/it] 69%|██████▉ | 3463/5000 [10:13:33<2:14:53, 5.27s/it] 69%|██████▉ | 3464/5000 [10:13:38<2:13:55, 5.23s/it] 69%|██████▉ | 3465/5000 [10:13:43<2:14:03, 5.24s/it] 69%|██████▉ | 3466/5000 [10:13:48<2:13:16, 5.21s/it] 69%|██████▉ | 3467/5000 [10:13:54<2:14:14, 5.25s/it] 69%|██████▉ | 3468/5000 [10:13:59<2:15:21, 5.30s/it] 69%|██████▉ | 3469/5000 [10:14:05<2:18:06, 5.41s/it] 69%|██████▉ | 3470/5000 [10:14:11<2:23:01, 5.61s/it] 69%|██████▉ | 3471/5000 [10:14:16<2:20:09, 5.50s/it] 69%|██████▉ | 3472/5000 [10:14:21<2:17:58, 5.42s/it] 69%|██████▉ | 3473/5000 [10:14:27<2:16:59, 5.38s/it] 69%|██████▉ | 3474/5000 [10:14:32<2:15:04, 5.31s/it] 70%|██████▉ | 3475/5000 [10:14:37<2:14:56, 5.31s/it] 70%|██████▉ | 3475/5000 [10:14:37<2:14:56, 5.31s/it] 70%|██████▉ | 3476/5000 [10:14:42<2:14:06, 5.28s/it] 70%|██████▉ | 3477/5000 [10:14:48<2:14:13, 5.29s/it] 70%|██████▉ | 3478/5000 [10:14:53<2:13:24, 5.26s/it] 70%|██████▉ | 3479/5000 [10:14:58<2:12:47, 5.24s/it] 70%|██████▉ | 3480/5000 [10:15:04<2:15:57, 5.37s/it] 70%|██████▉ | 3481/5000 [10:15:09<2:14:53, 5.33s/it] 70%|██████▉ | 3482/5000 [10:15:15<2:22:41, 5.64s/it] 70%|██████▉ | 3483/5000 [10:15:21<2:19:18, 5.51s/it] 70%|██████▉ | 3484/5000 [10:15:26<2:16:29, 5.40s/it] 70%|██████▉ | 3485/5000 [10:15:31<2:15:07, 5.35s/it] 70%|██████▉ | 3486/5000 [10:15:36<2:14:09, 5.32s/it] 70%|██████▉ | 3487/5000 [10:15:41<2:13:31, 5.30s/it] 70%|██████▉ | 3488/5000 [10:15:47<2:13:09, 5.28s/it] 70%|██████▉ | 3489/5000 [10:15:52<2:12:16, 5.25s/it] 70%|██████▉ | 3490/5000 [10:15:57<2:11:51, 5.24s/it] 70%|██████▉ | 3491/5000 [10:16:02<2:10:45, 5.20s/it] 70%|██████▉ | 3492/5000 [10:16:07<2:10:56, 5.21s/it] 70%|██████▉ | 3493/5000 [10:16:13<2:10:54, 5.21s/it] 70%|██████▉ | 3494/5000 [10:16:18<2:11:15, 5.23s/it] 70%|██████▉ | 3495/5000 [10:16:23<2:11:44, 5.25s/it] 70%|██████▉ | 3496/5000 [10:16:28<2:11:32, 5.25s/it] 70%|██████▉ | 3497/5000 [10:16:34<2:15:16, 5.40s/it] 70%|██████▉ | 3498/5000 [10:16:39<2:13:14, 5.32s/it] 70%|██████▉ | 3499/5000 [10:16:48<2:35:53, 6.23s/it] 70%|███████ | 3500/5000 [10:16:53<2:29:45, 5.99s/it] 70%|███████ | 3500/5000 [10:16:53<2:29:45, 5.99s/it] 70%|███████ | 3501/5000 [10:16:58<2:23:55, 5.76s/it] 70%|███████ | 3502/5000 [10:17:04<2:19:12, 5.58s/it] 70%|███████ | 3503/5000 [10:17:09<2:17:29, 5.51s/it] 70%|███████ | 3504/5000 [10:17:16<2:31:52, 6.09s/it] 70%|███████ | 3505/5000 [10:17:22<2:25:37, 5.84s/it] 70%|███████ | 3506/5000 [10:17:27<2:20:29, 5.64s/it] 70%|███████ | 3507/5000 [10:17:32<2:17:30, 5.53s/it] 70%|███████ | 3508/5000 [10:17:37<2:15:28, 5.45s/it] 70%|███████ | 3509/5000 [10:17:42<2:13:27, 5.37s/it] 70%|███████ | 3510/5000 [10:17:48<2:11:41, 5.30s/it] 70%|███████ | 3511/5000 [10:17:53<2:11:26, 5.30s/it] 70%|███████ | 3512/5000 [10:17:58<2:10:06, 5.25s/it] 70%|███████ | 3513/5000 [10:18:03<2:10:21, 5.26s/it] 70%|███████ | 3514/5000 [10:18:09<2:15:27, 5.47s/it] 70%|███████ | 3515/5000 [10:18:15<2:13:57, 5.41s/it] 70%|███████ | 3516/5000 [10:18:20<2:12:36, 5.36s/it] 70%|███████ | 3517/5000 [10:18:25<2:12:15, 5.35s/it] 70%|███████ | 3518/5000 [10:18:30<2:11:30, 5.32s/it] 70%|███████ | 3519/5000 [10:18:36<2:10:35, 5.29s/it] 70%|███████ | 3520/5000 [10:18:41<2:09:59, 5.27s/it] 70%|███████ | 3521/5000 [10:18:46<2:09:45, 5.26s/it] 70%|███████ | 3522/5000 [10:18:51<2:09:07, 5.24s/it] 70%|███████ | 3523/5000 [10:18:58<2:17:39, 5.59s/it] 70%|███████ | 3524/5000 [10:19:04<2:25:50, 5.93s/it] 70%|███████ | 3525/5000 [10:19:11<2:29:59, 6.10s/it] 70%|███████ | 3525/5000 [10:19:11<2:29:59, 6.10s/it] 71%|███████ | 3526/5000 [10:19:17<2:26:28, 5.96s/it] 71%|███████ | 3527/5000 [10:19:22<2:21:19, 5.76s/it] 71%|███████ | 3528/5000 [10:19:27<2:17:40, 5.61s/it] 71%|███████ | 3529/5000 [10:19:34<2:28:07, 6.04s/it] 71%|███████ | 3530/5000 [10:19:40<2:26:49, 5.99s/it] 71%|███████ | 3531/5000 [10:19:45<2:21:57, 5.80s/it] 71%|███████ | 3532/5000 [10:19:51<2:19:31, 5.70s/it] 71%|███████ | 3533/5000 [10:19:56<2:16:00, 5.56s/it] 71%|███████ | 3534/5000 [10:20:02<2:16:59, 5.61s/it] 71%|███████ | 3535/5000 [10:20:07<2:14:52, 5.52s/it] 71%|███████ | 3536/5000 [10:20:12<2:13:12, 5.46s/it] 71%|███████ | 3537/5000 [10:20:18<2:11:04, 5.38s/it] 71%|███████ | 3538/5000 [10:20:24<2:19:33, 5.73s/it] 71%|███████ | 3539/5000 [10:20:30<2:20:39, 5.78s/it] 71%|███████ | 3540/5000 [10:20:35<2:16:55, 5.63s/it] 71%|███████ | 3541/5000 [10:20:41<2:14:00, 5.51s/it] 71%|███████ | 3542/5000 [10:20:46<2:11:21, 5.41s/it] 71%|███████ | 3543/5000 [10:20:51<2:10:16, 5.36s/it] 71%|███████ | 3544/5000 [10:20:56<2:09:52, 5.35s/it] 71%|███████ | 3545/5000 [10:21:02<2:15:24, 5.58s/it] 71%|███████ | 3546/5000 [10:21:08<2:12:36, 5.47s/it] 71%|███████ | 3547/5000 [10:21:13<2:10:07, 5.37s/it] 71%|███████ | 3548/5000 [10:21:18<2:08:32, 5.31s/it] 71%|███████ | 3549/5000 [10:21:23<2:08:00, 5.29s/it] 71%|███████ | 3550/5000 [10:21:28<2:07:07, 5.26s/it] 71%|███████ | 3550/5000 [10:21:28<2:07:07, 5.26s/it] 71%|███████ | 3551/5000 [10:21:33<2:05:32, 5.20s/it] 71%|███████ | 3552/5000 [10:21:39<2:05:44, 5.21s/it] 71%|███████ | 3553/5000 [10:21:48<2:35:06, 6.43s/it] 71%|███████ | 3554/5000 [10:21:53<2:25:42, 6.05s/it] 71%|███████ | 3555/5000 [10:21:58<2:19:39, 5.80s/it] 71%|███████ | 3556/5000 [10:22:04<2:15:32, 5.63s/it] 71%|███████ | 3557/5000 [10:22:09<2:12:16, 5.50s/it] 71%|███████ | 3558/5000 [10:22:14<2:09:55, 5.41s/it] 71%|███████ | 3559/5000 [10:22:19<2:08:02, 5.33s/it] 71%|███████ | 3560/5000 [10:22:24<2:06:29, 5.27s/it] 71%|███████ | 3561/5000 [10:22:30<2:06:27, 5.27s/it] 71%|███████ | 3562/5000 [10:22:35<2:05:36, 5.24s/it] 71%|███████▏ | 3563/5000 [10:22:40<2:05:31, 5.24s/it] 71%|███████▏ | 3564/5000 [10:22:45<2:05:43, 5.25s/it] 71%|███████▏ | 3565/5000 [10:22:50<2:04:31, 5.21s/it] 71%|███████▏ | 3566/5000 [10:22:56<2:04:27, 5.21s/it] 71%|███████▏ | 3567/5000 [10:23:01<2:04:55, 5.23s/it] 71%|███████▏ | 3568/5000 [10:23:06<2:05:51, 5.27s/it] 71%|███████▏ | 3569/5000 [10:23:14<2:27:25, 6.18s/it] 71%|███████▏ | 3570/5000 [10:23:20<2:20:35, 5.90s/it] 71%|███████▏ | 3571/5000 [10:23:25<2:15:28, 5.69s/it] 71%|███████▏ | 3572/5000 [10:23:30<2:12:00, 5.55s/it] 71%|███████▏ | 3573/5000 [10:23:35<2:09:09, 5.43s/it] 71%|███████▏ | 3574/5000 [10:23:40<2:07:28, 5.36s/it] 72%|███████▏ | 3575/5000 [10:23:46<2:06:55, 5.34s/it] 72%|███████▏ | 3575/5000 [10:23:46<2:06:55, 5.34s/it] 72%|███████▏ | 3576/5000 [10:23:51<2:06:14, 5.32s/it] 72%|███████▏ | 3577/5000 [10:23:56<2:06:27, 5.33s/it] 72%|███████▏ | 3578/5000 [10:24:02<2:06:38, 5.34s/it] 72%|███████▏ | 3579/5000 [10:24:07<2:06:22, 5.34s/it] 72%|███████▏ | 3580/5000 [10:24:12<2:06:09, 5.33s/it] 72%|███████▏ | 3581/5000 [10:24:18<2:06:51, 5.36s/it] 72%|███████▏ | 3582/5000 [10:24:23<2:06:20, 5.35s/it] 72%|███████▏ | 3583/5000 [10:24:28<2:05:17, 5.31s/it] 72%|███████▏ | 3584/5000 [10:24:34<2:06:49, 5.37s/it] 72%|███████▏ | 3585/5000 [10:24:39<2:06:40, 5.37s/it] 72%|███████▏ | 3586/5000 [10:24:45<2:05:40, 5.33s/it] 72%|███████▏ | 3587/5000 [10:24:50<2:05:14, 5.32s/it] 72%|███████▏ | 3588/5000 [10:24:55<2:04:45, 5.30s/it] 72%|███████▏ | 3589/5000 [10:25:00<2:04:03, 5.28s/it] 72%|███████▏ | 3590/5000 [10:25:07<2:13:44, 5.69s/it] 72%|███████▏ | 3591/5000 [10:25:14<2:21:51, 6.04s/it] 72%|███████▏ | 3592/5000 [10:25:19<2:17:07, 5.84s/it] 72%|███████▏ | 3593/5000 [10:25:24<2:12:48, 5.66s/it] 72%|███████▏ | 3594/5000 [10:25:30<2:09:40, 5.53s/it] 72%|███████▏ | 3595/5000 [10:25:35<2:07:27, 5.44s/it] 72%|███████▏ | 3596/5000 [10:25:40<2:06:28, 5.41s/it] 72%|███████▏ | 3597/5000 [10:25:47<2:17:52, 5.90s/it] 72%|███████▏ | 3598/5000 [10:25:53<2:14:22, 5.75s/it] 72%|███████▏ | 3599/5000 [10:25:58<2:10:42, 5.60s/it] 72%|███████▏ | 3600/5000 [10:26:03<2:08:31, 5.51s/it] 72%|███████▏ | 3600/5000 [10:26:03<2:08:31, 5.51s/it] 72%|███████▏ | 3601/5000 [10:26:08<2:06:02, 5.41s/it] 72%|███████▏ | 3602/5000 [10:26:14<2:05:01, 5.37s/it] 72%|███████▏ | 3603/5000 [10:26:19<2:04:26, 5.34s/it] 72%|███████▏ | 3604/5000 [10:26:26<2:15:31, 5.82s/it] 72%|███████▏ | 3605/5000 [10:26:31<2:10:49, 5.63s/it] 72%|███████▏ | 3606/5000 [10:26:36<2:07:47, 5.50s/it] 72%|███████▏ | 3607/5000 [10:26:42<2:06:11, 5.44s/it] 72%|███████▏ | 3608/5000 [10:26:46<2:02:32, 5.28s/it] 72%|███████▏ | 3609/5000 [10:26:50<1:49:36, 4.73s/it] 72%|███████▏ | 3610/5000 [10:26:53<1:40:39, 4.35s/it] 72%|███████▏ | 3611/5000 [10:26:57<1:34:32, 4.08s/it] 72%|███████▏ | 3612/5000 [10:27:00<1:29:53, 3.89s/it] 72%|███████▏ | 3613/5000 [10:27:04<1:26:51, 3.76s/it] 72%|███████▏ | 3614/5000 [10:27:07<1:24:37, 3.66s/it] 72%|███████▏ | 3615/5000 [10:27:11<1:23:05, 3.60s/it] 72%|███████▏ | 3616/5000 [10:27:14<1:22:03, 3.56s/it] 72%|███████▏ | 3617/5000 [10:27:17<1:21:14, 3.52s/it] 72%|███████▏ | 3618/5000 [10:27:21<1:20:40, 3.50s/it] 72%|███████▏ | 3619/5000 [10:27:24<1:20:16, 3.49s/it] 72%|███████▏ | 3620/5000 [10:27:28<1:19:43, 3.47s/it] 72%|███████▏ | 3621/5000 [10:27:31<1:19:22, 3.45s/it] 72%|███████▏ | 3622/5000 [10:27:35<1:19:19, 3.45s/it] 72%|███████▏ | 3623/5000 [10:27:38<1:19:03, 3.44s/it] 72%|███████▏ | 3624/5000 [10:27:40<1:06:20, 2.89s/it] 72%|███████▎ | 3625/5000 [10:28:14<4:39:09, 12.18s/it] 72%|███████▎ | 3625/5000 [10:28:14<4:39:09, 12.18s/it] 73%|███████▎ | 3626/5000 [10:28:19<3:50:41, 10.07s/it] 73%|███████▎ | 3627/5000 [10:28:24<3:16:37, 8.59s/it] 73%|███████▎ | 3628/5000 [10:28:29<2:52:56, 7.56s/it] 73%|███████▎ | 3629/5000 [10:28:35<2:40:03, 7.01s/it] 73%|███████▎ | 3630/5000 [10:28:40<2:28:02, 6.48s/it] 73%|███████▎ | 3631/5000 [10:28:45<2:19:04, 6.10s/it] 73%|███████▎ | 3632/5000 [10:28:51<2:17:34, 6.03s/it] 73%|███████▎ | 3633/5000 [10:28:56<2:11:32, 5.77s/it] 73%|███████▎ | 3634/5000 [10:29:02<2:07:56, 5.62s/it] 73%|███████▎ | 3635/5000 [10:29:07<2:05:27, 5.51s/it] 73%|███████▎ | 3636/5000 [10:29:12<2:04:43, 5.49s/it] 73%|███████▎ | 3637/5000 [10:29:19<2:10:54, 5.76s/it] 73%|███████▎ | 3638/5000 [10:29:24<2:07:16, 5.61s/it] 73%|███████▎ | 3639/5000 [10:29:29<2:06:44, 5.59s/it] 73%|███████▎ | 3640/5000 [10:29:36<2:14:15, 5.92s/it] 73%|███████▎ | 3641/5000 [10:29:41<2:09:25, 5.71s/it] 73%|███████▎ | 3642/5000 [10:29:47<2:06:25, 5.59s/it] 73%|███████▎ | 3643/5000 [10:29:52<2:03:49, 5.48s/it] 73%|███████▎ | 3644/5000 [10:29:57<2:02:05, 5.40s/it] 73%|███████▎ | 3645/5000 [10:30:02<2:00:11, 5.32s/it] 73%|███████▎ | 3646/5000 [10:30:07<1:59:50, 5.31s/it] 73%|███████▎ | 3647/5000 [10:30:13<1:58:46, 5.27s/it] 73%|███████▎ | 3648/5000 [10:30:18<1:58:45, 5.27s/it] 73%|███████▎ | 3649/5000 [10:30:24<2:02:50, 5.46s/it] 73%|███████▎ | 3650/5000 [10:30:29<2:01:33, 5.40s/it] 73%|███████▎ | 3650/5000 [10:30:29<2:01:33, 5.40s/it] 73%|███████▎ | 3651/5000 [10:30:36<2:11:54, 5.87s/it] 73%|███████▎ | 3652/5000 [10:30:42<2:09:41, 5.77s/it] 73%|███████▎ | 3653/5000 [10:30:47<2:06:08, 5.62s/it] 73%|███████▎ | 3654/5000 [10:30:52<2:02:43, 5.47s/it] 73%|███████▎ | 3655/5000 [10:30:57<2:00:43, 5.39s/it] 73%|███████▎ | 3656/5000 [10:31:06<2:23:47, 6.42s/it] 73%|███████▎ | 3657/5000 [10:31:11<2:15:55, 6.07s/it] 73%|███████▎ | 3658/5000 [10:31:16<2:09:43, 5.80s/it] 73%|███████▎ | 3659/5000 [10:31:22<2:05:59, 5.64s/it] 73%|███████▎ | 3660/5000 [10:31:27<2:03:47, 5.54s/it] 73%|███████▎ | 3661/5000 [10:31:33<2:04:32, 5.58s/it] 73%|███████▎ | 3662/5000 [10:31:38<2:02:05, 5.48s/it] 73%|███████▎ | 3663/5000 [10:31:43<2:00:14, 5.40s/it] 73%|███████▎ | 3664/5000 [10:31:51<2:15:33, 6.09s/it] 73%|███████▎ | 3665/5000 [10:31:56<2:11:50, 5.93s/it] 73%|███████▎ | 3666/5000 [10:32:02<2:06:43, 5.70s/it] 73%|███████▎ | 3667/5000 [10:32:10<2:24:04, 6.49s/it] 73%|███████▎ | 3668/5000 [10:32:15<2:15:50, 6.12s/it] 73%|███████▎ | 3669/5000 [10:32:21<2:16:21, 6.15s/it] 73%|███████▎ | 3670/5000 [10:32:26<2:09:31, 5.84s/it] 73%|███████▎ | 3671/5000 [10:32:32<2:05:44, 5.68s/it] 73%|███████▎ | 3672/5000 [10:32:37<2:03:06, 5.56s/it] 73%|███████▎ | 3673/5000 [10:32:42<2:00:47, 5.46s/it] 73%|███████▎ | 3674/5000 [10:32:47<1:58:40, 5.37s/it] 74%|███████▎ | 3675/5000 [10:32:53<2:02:33, 5.55s/it] 74%|███████▎ | 3675/5000 [10:32:53<2:02:33, 5.55s/it] 74%|███████▎ | 3676/5000 [10:32:59<2:00:56, 5.48s/it] 74%|███████▎ | 3677/5000 [10:33:04<1:59:25, 5.42s/it] 74%|███████▎ | 3678/5000 [10:33:09<1:57:36, 5.34s/it] 74%|███████▎ | 3679/5000 [10:33:15<1:58:24, 5.38s/it] 74%|███████▎ | 3680/5000 [10:33:20<1:57:03, 5.32s/it] 74%|███████▎ | 3681/5000 [10:33:25<1:57:07, 5.33s/it] 74%|███████▎ | 3682/5000 [10:33:30<1:57:07, 5.33s/it] 74%|███████▎ | 3683/5000 [10:33:36<1:56:19, 5.30s/it] 74%|███████▎ | 3684/5000 [10:33:41<1:55:57, 5.29s/it] 74%|███████▎ | 3685/5000 [10:33:46<1:54:49, 5.24s/it] 74%|███████▎ | 3686/5000 [10:33:51<1:54:21, 5.22s/it] 74%|███████▎ | 3687/5000 [10:33:56<1:54:14, 5.22s/it] 74%|███████▍ | 3688/5000 [10:34:02<1:55:04, 5.26s/it] 74%|███████▍ | 3689/5000 [10:34:07<1:55:37, 5.29s/it] 74%|███████▍ | 3690/5000 [10:34:12<1:54:44, 5.26s/it] 74%|███████▍ | 3691/5000 [10:34:18<1:54:33, 5.25s/it] 74%|███████▍ | 3692/5000 [10:34:24<2:00:17, 5.52s/it] 74%|███████▍ | 3693/5000 [10:34:29<1:57:35, 5.40s/it] 74%|███████▍ | 3694/5000 [10:34:34<1:56:20, 5.34s/it] 74%|███████▍ | 3695/5000 [10:34:40<1:58:26, 5.45s/it] 74%|███████▍ | 3696/5000 [10:34:47<2:09:26, 5.96s/it] 74%|███████▍ | 3697/5000 [10:34:52<2:06:35, 5.83s/it] 74%|███████▍ | 3698/5000 [10:34:58<2:02:16, 5.63s/it] 74%|███████▍ | 3699/5000 [10:35:03<2:00:17, 5.55s/it] 74%|███████▍ | 3700/5000 [10:35:08<1:58:21, 5.46s/it] 74%|███████▍ | 3700/5000 [10:35:08<1:58:21, 5.46s/it] 74%|███████▍ | 3701/5000 [10:35:13<1:56:46, 5.39s/it] 74%|███████▍ | 3702/5000 [10:35:19<1:56:15, 5.37s/it] 74%|███████▍ | 3703/5000 [10:35:24<1:54:36, 5.30s/it] 74%|███████▍ | 3704/5000 [10:35:29<1:53:45, 5.27s/it] 74%|███████▍ | 3705/5000 [10:35:34<1:53:37, 5.26s/it] 74%|███████▍ | 3706/5000 [10:35:40<1:53:31, 5.26s/it] 74%|███████▍ | 3707/5000 [10:35:45<1:53:34, 5.27s/it] 74%|███████▍ | 3708/5000 [10:35:51<2:00:07, 5.58s/it] 74%|███████▍ | 3709/5000 [10:35:56<1:57:33, 5.46s/it] 74%|███████▍ | 3710/5000 [10:36:03<2:06:05, 5.86s/it] 74%|███████▍ | 3711/5000 [10:36:09<2:03:21, 5.74s/it] 74%|███████▍ | 3712/5000 [10:36:14<2:00:12, 5.60s/it] 74%|███████▍ | 3713/5000 [10:36:19<1:57:54, 5.50s/it] 74%|███████▍ | 3714/5000 [10:36:25<2:01:56, 5.69s/it] 74%|███████▍ | 3715/5000 [10:36:31<1:59:11, 5.57s/it] 74%|███████▍ | 3716/5000 [10:36:37<2:03:33, 5.77s/it] 74%|███████▍ | 3717/5000 [10:36:42<2:00:09, 5.62s/it] 74%|███████▍ | 3718/5000 [10:36:47<1:57:30, 5.50s/it] 74%|███████▍ | 3719/5000 [10:36:55<2:13:52, 6.27s/it] 74%|███████▍ | 3720/5000 [10:37:01<2:07:31, 5.98s/it] 74%|███████▍ | 3721/5000 [10:37:06<2:02:40, 5.75s/it] 74%|███████▍ | 3722/5000 [10:37:11<1:59:26, 5.61s/it] 74%|███████▍ | 3723/5000 [10:37:17<1:57:24, 5.52s/it] 74%|███████▍ | 3724/5000 [10:37:22<1:54:56, 5.40s/it] 74%|███████▍ | 3725/5000 [10:37:27<1:53:47, 5.35s/it] 74%|███████▍ | 3725/5000 [10:37:27<1:53:47, 5.35s/it] 75%|███████▍ | 3726/5000 [10:37:35<2:11:32, 6.20s/it] 75%|███████▍ | 3727/5000 [10:37:40<2:05:36, 5.92s/it] 75%|███████▍ | 3728/5000 [10:37:47<2:10:20, 6.15s/it] 75%|███████▍ | 3729/5000 [10:37:53<2:11:13, 6.19s/it] 75%|███████▍ | 3730/5000 [10:37:59<2:05:37, 5.93s/it] 75%|███████▍ | 3731/5000 [10:38:04<2:01:21, 5.74s/it] 75%|███████▍ | 3732/5000 [10:38:09<1:58:22, 5.60s/it] 75%|███████▍ | 3733/5000 [10:38:14<1:55:41, 5.48s/it] 75%|███████▍ | 3734/5000 [10:38:19<1:53:02, 5.36s/it] 75%|███████▍ | 3735/5000 [10:38:25<1:52:15, 5.32s/it] 75%|███████▍ | 3736/5000 [10:38:30<1:51:33, 5.30s/it] 75%|███████▍ | 3737/5000 [10:38:35<1:50:24, 5.24s/it] 75%|███████▍ | 3738/5000 [10:38:41<1:53:16, 5.39s/it] 75%|███████▍ | 3739/5000 [10:38:49<2:08:01, 6.09s/it] 75%|███████▍ | 3740/5000 [10:38:54<2:02:32, 5.84s/it] 75%|███████▍ | 3741/5000 [10:38:59<1:58:08, 5.63s/it] 75%|███████▍ | 3742/5000 [10:39:04<1:55:02, 5.49s/it] 75%|███████▍ | 3743/5000 [10:39:09<1:52:35, 5.37s/it] 75%|███████▍ | 3744/5000 [10:39:17<2:10:40, 6.24s/it] 75%|███████▍ | 3745/5000 [10:39:23<2:04:24, 5.95s/it] 75%|███████▍ | 3746/5000 [10:39:29<2:03:35, 5.91s/it] 75%|███████▍ | 3747/5000 [10:39:34<1:59:16, 5.71s/it] 75%|███████▍ | 3748/5000 [10:39:39<1:58:25, 5.68s/it] 75%|███████▍ | 3749/5000 [10:39:45<1:55:55, 5.56s/it] 75%|███████▌ | 3750/5000 [10:39:51<1:58:01, 5.67s/it] 75%|███████▌ | 3750/5000 [10:39:51<1:58:01, 5.67s/it] 75%|███████▌ | 3751/5000 [10:39:56<1:55:17, 5.54s/it] 75%|███████▌ | 3752/5000 [10:40:01<1:53:52, 5.47s/it] 75%|███████▌ | 3753/5000 [10:40:06<1:52:37, 5.42s/it] 75%|███████▌ | 3754/5000 [10:40:12<1:50:36, 5.33s/it] 75%|███████▌ | 3755/5000 [10:40:17<1:49:51, 5.29s/it] 75%|███████▌ | 3756/5000 [10:40:22<1:49:11, 5.27s/it] 75%|███████▌ | 3757/5000 [10:40:27<1:49:04, 5.27s/it] 75%|███████▌ | 3758/5000 [10:40:34<1:58:24, 5.72s/it] 75%|███████▌ | 3759/5000 [10:40:39<1:54:50, 5.55s/it] 75%|███████▌ | 3760/5000 [10:40:44<1:52:25, 5.44s/it] 75%|███████▌ | 3761/5000 [10:40:50<1:51:07, 5.38s/it] 75%|███████▌ | 3762/5000 [10:40:55<1:49:41, 5.32s/it] 75%|███████▌ | 3763/5000 [10:41:00<1:49:08, 5.29s/it] 75%|███████▌ | 3764/5000 [10:41:06<1:55:58, 5.63s/it] 75%|███████▌ | 3765/5000 [10:41:12<1:53:51, 5.53s/it] 75%|███████▌ | 3766/5000 [10:41:17<1:51:51, 5.44s/it] 75%|███████▌ | 3767/5000 [10:41:22<1:50:52, 5.40s/it] 75%|███████▌ | 3768/5000 [10:41:28<1:50:33, 5.38s/it] 75%|███████▌ | 3769/5000 [10:41:33<1:49:29, 5.34s/it] 75%|███████▌ | 3770/5000 [10:41:38<1:49:47, 5.36s/it] 75%|███████▌ | 3771/5000 [10:41:43<1:48:39, 5.30s/it] 75%|███████▌ | 3772/5000 [10:41:49<1:47:57, 5.27s/it] 75%|███████▌ | 3773/5000 [10:41:54<1:47:35, 5.26s/it] 75%|███████▌ | 3774/5000 [10:42:03<2:10:38, 6.39s/it] 76%|███████▌ | 3775/5000 [10:42:09<2:06:11, 6.18s/it] 76%|███████▌ | 3775/5000 [10:42:09<2:06:11, 6.18s/it] 76%|███████▌ | 3776/5000 [10:42:14<2:00:10, 5.89s/it] 76%|███████▌ | 3777/5000 [10:42:21<2:05:34, 6.16s/it] 76%|███████▌ | 3778/5000 [10:42:28<2:11:37, 6.46s/it] 76%|███████▌ | 3779/5000 [10:42:33<2:03:48, 6.08s/it] 76%|███████▌ | 3780/5000 [10:42:38<1:58:30, 5.83s/it] 76%|███████▌ | 3781/5000 [10:42:43<1:54:39, 5.64s/it] 76%|███████▌ | 3782/5000 [10:42:49<1:54:43, 5.65s/it] 76%|███████▌ | 3783/5000 [10:42:54<1:52:02, 5.52s/it] 76%|███████▌ | 3784/5000 [10:43:00<1:50:07, 5.43s/it] 76%|███████▌ | 3785/5000 [10:43:05<1:49:35, 5.41s/it] 76%|███████▌ | 3786/5000 [10:43:10<1:49:09, 5.40s/it] 76%|███████▌ | 3787/5000 [10:43:17<1:54:32, 5.67s/it] 76%|███████▌ | 3788/5000 [10:43:22<1:51:57, 5.54s/it] 76%|███████▌ | 3789/5000 [10:43:27<1:49:52, 5.44s/it] 76%|███████▌ | 3790/5000 [10:43:32<1:48:32, 5.38s/it] 76%|███████▌ | 3791/5000 [10:43:37<1:47:16, 5.32s/it] 76%|███████▌ | 3792/5000 [10:43:43<1:46:57, 5.31s/it] 76%|███████▌ | 3793/5000 [10:43:48<1:46:55, 5.32s/it] 76%|███████▌ | 3794/5000 [10:43:53<1:46:38, 5.31s/it] 76%|███████▌ | 3795/5000 [10:43:59<1:50:39, 5.51s/it] 76%|███████▌ | 3796/5000 [10:44:04<1:48:19, 5.40s/it] 76%|███████▌ | 3797/5000 [10:44:10<1:46:55, 5.33s/it] 76%|███████▌ | 3798/5000 [10:44:15<1:46:18, 5.31s/it] 76%|███████▌ | 3799/5000 [10:44:20<1:45:49, 5.29s/it] 76%|███████▌ | 3800/5000 [10:44:25<1:45:20, 5.27s/it] 76%|███████▌ | 3800/5000 [10:44:25<1:45:20, 5.27s/it] 76%|███████▌ | 3801/5000 [10:44:31<1:45:16, 5.27s/it] 76%|███████▌ | 3802/5000 [10:44:37<1:50:32, 5.54s/it] 76%|███████▌ | 3803/5000 [10:44:42<1:48:44, 5.45s/it] 76%|███████▌ | 3804/5000 [10:44:47<1:46:36, 5.35s/it] 76%|███████▌ | 3805/5000 [10:44:52<1:45:52, 5.32s/it] 76%|███████▌ | 3806/5000 [10:44:58<1:45:37, 5.31s/it] 76%|███████▌ | 3807/5000 [10:45:03<1:44:38, 5.26s/it] 76%|███████▌ | 3808/5000 [10:45:08<1:44:02, 5.24s/it] 76%|███████▌ | 3809/5000 [10:45:13<1:44:12, 5.25s/it] 76%|███████▌ | 3810/5000 [10:45:21<1:59:54, 6.05s/it] 76%|███████▌ | 3811/5000 [10:45:26<1:54:44, 5.79s/it] 76%|███████▌ | 3812/5000 [10:45:31<1:50:40, 5.59s/it] 76%|███████▋ | 3813/5000 [10:45:37<1:49:05, 5.51s/it] 76%|███████▋ | 3814/5000 [10:45:43<1:52:56, 5.71s/it] 76%|███████▋ | 3815/5000 [10:45:48<1:49:59, 5.57s/it] 76%|███████▋ | 3816/5000 [10:45:54<1:52:21, 5.69s/it] 76%|███████▋ | 3817/5000 [10:46:02<2:02:29, 6.21s/it] 76%|███████▋ | 3818/5000 [10:46:07<1:57:09, 5.95s/it] 76%|███████▋ | 3819/5000 [10:46:12<1:52:44, 5.73s/it] 76%|███████▋ | 3820/5000 [10:46:18<1:50:19, 5.61s/it] 76%|███████▋ | 3821/5000 [10:46:23<1:49:29, 5.57s/it] 76%|███████▋ | 3822/5000 [10:46:28<1:46:58, 5.45s/it] 76%|███████▋ | 3823/5000 [10:46:33<1:45:21, 5.37s/it] 76%|███████▋ | 3824/5000 [10:46:39<1:44:17, 5.32s/it] 76%|███████▋ | 3825/5000 [10:46:44<1:43:03, 5.26s/it] 76%|███████▋ | 3825/5000 [10:46:44<1:43:03, 5.26s/it] 77%|███████▋ | 3826/5000 [10:46:49<1:42:52, 5.26s/it] 77%|███████▋ | 3827/5000 [10:46:54<1:42:14, 5.23s/it] 77%|███████▋ | 3828/5000 [10:47:03<2:02:02, 6.25s/it] 77%|███████▋ | 3829/5000 [10:47:08<1:55:49, 5.93s/it] 77%|███████▋ | 3830/5000 [10:47:13<1:51:45, 5.73s/it] 77%|███████▋ | 3831/5000 [10:47:19<1:52:23, 5.77s/it] 77%|███████▋ | 3832/5000 [10:47:26<2:00:15, 6.18s/it] 77%|███████▋ | 3833/5000 [10:47:31<1:54:45, 5.90s/it] 77%|███████▋ | 3834/5000 [10:47:37<1:50:30, 5.69s/it] 77%|███████▋ | 3835/5000 [10:47:42<1:47:52, 5.56s/it] 77%|███████▋ | 3836/5000 [10:47:47<1:45:38, 5.45s/it] 77%|███████▋ | 3837/5000 [10:47:52<1:44:17, 5.38s/it] 77%|███████▋ | 3838/5000 [10:47:57<1:43:08, 5.33s/it] 77%|███████▋ | 3839/5000 [10:48:03<1:42:25, 5.29s/it] 77%|███████▋ | 3840/5000 [10:48:08<1:44:58, 5.43s/it] 77%|███████▋ | 3841/5000 [10:48:14<1:43:58, 5.38s/it] 77%|███████▋ | 3842/5000 [10:48:19<1:42:57, 5.33s/it] 77%|███████▋ | 3843/5000 [10:48:24<1:42:02, 5.29s/it] 77%|███████▋ | 3844/5000 [10:48:29<1:40:58, 5.24s/it] 77%|███████▋ | 3845/5000 [10:48:34<1:40:42, 5.23s/it] 77%|███████▋ | 3846/5000 [10:48:40<1:40:48, 5.24s/it] 77%|███████▋ | 3847/5000 [10:48:45<1:40:52, 5.25s/it] 77%|███████▋ | 3848/5000 [10:48:50<1:40:33, 5.24s/it] 77%|███████▋ | 3849/5000 [10:48:55<1:40:21, 5.23s/it] 77%|███████▋ | 3850/5000 [10:49:01<1:40:31, 5.24s/it] 77%|███████▋ | 3850/5000 [10:49:01<1:40:31, 5.24s/it] 77%|███████▋ | 3851/5000 [10:49:06<1:40:32, 5.25s/it] 77%|███████▋ | 3852/5000 [10:49:11<1:39:32, 5.20s/it] 77%|███████▋ | 3853/5000 [10:49:16<1:39:51, 5.22s/it] 77%|███████▋ | 3854/5000 [10:49:22<1:40:09, 5.24s/it] 77%|███████▋ | 3855/5000 [10:49:27<1:42:41, 5.38s/it] 77%|███████▋ | 3856/5000 [10:49:33<1:41:43, 5.33s/it] 77%|███████▋ | 3857/5000 [10:49:38<1:41:52, 5.35s/it] 77%|███████▋ | 3858/5000 [10:49:43<1:42:23, 5.38s/it] 77%|███████▋ | 3859/5000 [10:49:49<1:42:25, 5.39s/it] 77%|███████▋ | 3860/5000 [10:49:54<1:41:30, 5.34s/it] 77%|███████▋ | 3861/5000 [10:50:01<1:50:16, 5.81s/it] 77%|███████▋ | 3862/5000 [10:50:06<1:47:02, 5.64s/it] 77%|███████▋ | 3863/5000 [10:50:11<1:44:11, 5.50s/it] 77%|███████▋ | 3864/5000 [10:50:17<1:42:44, 5.43s/it] 77%|███████▋ | 3865/5000 [10:50:22<1:41:43, 5.38s/it] 77%|███████▋ | 3866/5000 [10:50:27<1:41:02, 5.35s/it] 77%|███████▋ | 3867/5000 [10:50:32<1:39:58, 5.29s/it] 77%|███████▋ | 3868/5000 [10:50:38<1:39:56, 5.30s/it] 77%|███████▋ | 3869/5000 [10:50:43<1:42:22, 5.43s/it] 77%|███████▋ | 3870/5000 [10:50:49<1:41:31, 5.39s/it] 77%|███████▋ | 3871/5000 [10:50:54<1:41:15, 5.38s/it] 77%|███████▋ | 3872/5000 [10:50:59<1:40:15, 5.33s/it] 77%|███████▋ | 3873/5000 [10:51:04<1:39:48, 5.31s/it] 77%|███████▋ | 3874/5000 [10:51:10<1:39:42, 5.31s/it] 78%|███████▊ | 3875/5000 [10:51:15<1:39:29, 5.31s/it] 78%|███████▊ | 3875/5000 [10:51:15<1:39:29, 5.31s/it] 78%|███████▊ | 3876/5000 [10:51:20<1:39:54, 5.33s/it] 78%|███████▊ | 3877/5000 [10:51:26<1:39:50, 5.33s/it] 78%|███████▊ | 3878/5000 [10:51:31<1:39:00, 5.29s/it] 78%|███████▊ | 3879/5000 [10:51:37<1:45:14, 5.63s/it] 78%|███████▊ | 3880/5000 [10:51:43<1:43:01, 5.52s/it] 78%|███████▊ | 3881/5000 [10:51:48<1:41:34, 5.45s/it] 78%|███████▊ | 3882/5000 [10:51:53<1:40:18, 5.38s/it] 78%|███████▊ | 3883/5000 [10:52:01<1:54:54, 6.17s/it] 78%|███████▊ | 3884/5000 [10:52:07<1:52:05, 6.03s/it] 78%|███████▊ | 3885/5000 [10:52:12<1:49:13, 5.88s/it] 78%|███████▊ | 3886/5000 [10:52:20<1:57:16, 6.32s/it] 78%|███████▊ | 3887/5000 [10:52:25<1:51:02, 5.99s/it] 78%|███████▊ | 3888/5000 [10:52:31<1:52:15, 6.06s/it] 78%|███████▊ | 3889/5000 [10:52:36<1:47:46, 5.82s/it] 78%|███████▊ | 3890/5000 [10:52:42<1:44:15, 5.64s/it] 78%|███████▊ | 3891/5000 [10:52:48<1:45:58, 5.73s/it] 78%|███████▊ | 3892/5000 [10:52:53<1:42:58, 5.58s/it] 78%|███████▊ | 3893/5000 [10:52:58<1:41:06, 5.48s/it] 78%|███████▊ | 3894/5000 [10:53:03<1:39:44, 5.41s/it] 78%|███████▊ | 3895/5000 [10:53:09<1:38:45, 5.36s/it] 78%|███████▊ | 3896/5000 [10:53:14<1:37:32, 5.30s/it] 78%|███████▊ | 3897/5000 [10:53:19<1:37:13, 5.29s/it] 78%|███████▊ | 3898/5000 [10:53:24<1:37:07, 5.29s/it] 78%|███████▊ | 3899/5000 [10:53:30<1:36:35, 5.26s/it] 78%|███████▊ | 3900/5000 [10:53:35<1:36:07, 5.24s/it] 78%|███████▊ | 3900/5000 [10:53:35<1:36:07, 5.24s/it] 78%|███████▊ | 3901/5000 [10:53:40<1:36:07, 5.25s/it] 78%|███████▊ | 3902/5000 [10:53:45<1:35:55, 5.24s/it] 78%|███████▊ | 3903/5000 [10:53:50<1:36:03, 5.25s/it] 78%|███████▊ | 3904/5000 [10:53:57<1:40:28, 5.50s/it] 78%|███████▊ | 3905/5000 [10:54:02<1:39:18, 5.44s/it] 78%|███████▊ | 3906/5000 [10:54:07<1:38:31, 5.40s/it] 78%|███████▊ | 3907/5000 [10:54:12<1:37:31, 5.35s/it] 78%|███████▊ | 3908/5000 [10:54:18<1:37:03, 5.33s/it] 78%|███████▊ | 3909/5000 [10:54:23<1:35:57, 5.28s/it] 78%|███████▊ | 3910/5000 [10:54:28<1:35:36, 5.26s/it] 78%|███████▊ | 3911/5000 [10:54:33<1:35:01, 5.24s/it] 78%|███████▊ | 3912/5000 [10:54:38<1:34:40, 5.22s/it] 78%|███████▊ | 3913/5000 [10:54:45<1:42:26, 5.65s/it] 78%|███████▊ | 3914/5000 [10:54:50<1:39:57, 5.52s/it] 78%|███████▊ | 3915/5000 [10:54:55<1:38:01, 5.42s/it] 78%|███████▊ | 3916/5000 [10:55:01<1:37:05, 5.37s/it] 78%|███████▊ | 3917/5000 [10:55:06<1:36:12, 5.33s/it] 78%|███████▊ | 3918/5000 [10:55:13<1:45:28, 5.85s/it] 78%|███████▊ | 3919/5000 [10:55:18<1:42:12, 5.67s/it] 78%|███████▊ | 3920/5000 [10:55:25<1:47:01, 5.95s/it] 78%|███████▊ | 3921/5000 [10:55:30<1:43:17, 5.74s/it] 78%|███████▊ | 3922/5000 [10:55:36<1:41:57, 5.67s/it] 78%|███████▊ | 3923/5000 [10:55:41<1:39:14, 5.53s/it] 78%|███████▊ | 3924/5000 [10:55:47<1:40:54, 5.63s/it] 78%|███████▊ | 3925/5000 [10:55:52<1:38:20, 5.49s/it] 78%|███████▊ | 3925/5000 [10:55:52<1:38:20, 5.49s/it] 79%|███████▊ | 3926/5000 [10:55:57<1:36:53, 5.41s/it] 79%|███████▊ | 3927/5000 [10:56:02<1:35:36, 5.35s/it] 79%|███████▊ | 3928/5000 [10:56:08<1:34:51, 5.31s/it] 79%|███████▊ | 3929/5000 [10:56:13<1:37:29, 5.46s/it] 79%|███████▊ | 3930/5000 [10:56:22<1:55:50, 6.50s/it] 79%|███████▊ | 3931/5000 [10:56:27<1:48:06, 6.07s/it] 79%|███████▊ | 3932/5000 [10:56:33<1:43:13, 5.80s/it] 79%|███████▊ | 3933/5000 [10:56:38<1:39:46, 5.61s/it] 79%|███████▊ | 3934/5000 [10:56:43<1:37:48, 5.50s/it] 79%|███████▊ | 3935/5000 [10:56:48<1:36:17, 5.42s/it] 79%|███████▊ | 3936/5000 [10:56:53<1:35:28, 5.38s/it] 79%|███████▊ | 3937/5000 [10:56:59<1:34:41, 5.34s/it] 79%|███████▉ | 3938/5000 [10:57:07<1:49:37, 6.19s/it] 79%|███████▉ | 3939/5000 [10:57:12<1:45:36, 5.97s/it] 79%|███████▉ | 3940/5000 [10:57:19<1:49:34, 6.20s/it] 79%|███████▉ | 3941/5000 [10:57:24<1:44:04, 5.90s/it] 79%|███████▉ | 3942/5000 [10:57:30<1:40:30, 5.70s/it] 79%|███████▉ | 3943/5000 [10:57:35<1:38:07, 5.57s/it] 79%|███████▉ | 3944/5000 [10:57:40<1:36:27, 5.48s/it] 79%|███████▉ | 3945/5000 [10:57:46<1:38:52, 5.62s/it] 79%|███████▉ | 3946/5000 [10:57:51<1:36:16, 5.48s/it] 79%|███████▉ | 3947/5000 [10:57:56<1:34:45, 5.40s/it] 79%|███████▉ | 3948/5000 [10:58:02<1:33:52, 5.35s/it] 79%|███████▉ | 3949/5000 [10:58:07<1:32:34, 5.29s/it] 79%|███████▉ | 3950/5000 [10:58:12<1:31:39, 5.24s/it] 79%|███████▉ | 3950/5000 [10:58:12<1:31:39, 5.24s/it] 79%|███████▉ | 3951/5000 [10:58:17<1:31:54, 5.26s/it] 79%|███████▉ | 3952/5000 [10:58:22<1:31:18, 5.23s/it] 79%|███████▉ | 3953/5000 [10:58:28<1:31:22, 5.24s/it] 79%|███████▉ | 3954/5000 [10:58:33<1:31:58, 5.28s/it] 79%|███████▉ | 3955/5000 [10:58:38<1:31:02, 5.23s/it] 79%|███████▉ | 3956/5000 [10:58:43<1:31:01, 5.23s/it] 79%|███████▉ | 3957/5000 [10:58:48<1:30:32, 5.21s/it] 79%|███████▉ | 3958/5000 [10:58:54<1:33:59, 5.41s/it] 79%|███████▉ | 3959/5000 [10:59:00<1:33:21, 5.38s/it] 79%|███████▉ | 3960/5000 [10:59:05<1:31:57, 5.31s/it] 79%|███████▉ | 3961/5000 [10:59:10<1:31:10, 5.27s/it] 79%|███████▉ | 3962/5000 [10:59:17<1:37:49, 5.65s/it] 79%|███████▉ | 3963/5000 [10:59:22<1:35:25, 5.52s/it] 79%|███████▉ | 3964/5000 [10:59:30<1:50:29, 6.40s/it] 79%|███████▉ | 3965/5000 [10:59:36<1:46:14, 6.16s/it] 79%|███████▉ | 3966/5000 [10:59:41<1:41:12, 5.87s/it] 79%|███████▉ | 3967/5000 [10:59:49<1:53:22, 6.59s/it] 79%|███████▉ | 3968/5000 [10:59:55<1:50:09, 6.40s/it] 79%|███████▉ | 3969/5000 [11:00:00<1:44:11, 6.06s/it] 79%|███████▉ | 3970/5000 [11:00:06<1:39:33, 5.80s/it] 79%|███████▉ | 3971/5000 [11:00:11<1:36:40, 5.64s/it] 79%|███████▉ | 3972/5000 [11:00:16<1:34:19, 5.51s/it] 79%|███████▉ | 3973/5000 [11:00:21<1:32:59, 5.43s/it] 79%|███████▉ | 3974/5000 [11:00:27<1:31:50, 5.37s/it] 80%|███████▉ | 3975/5000 [11:00:32<1:30:39, 5.31s/it] 80%|███████▉ | 3975/5000 [11:00:32<1:30:39, 5.31s/it] 80%|███████▉ | 3976/5000 [11:00:37<1:29:56, 5.27s/it] 80%|███████▉ | 3977/5000 [11:00:42<1:29:34, 5.25s/it] 80%|███████▉ | 3978/5000 [11:00:48<1:30:40, 5.32s/it] 80%|███████▉ | 3979/5000 [11:00:53<1:30:21, 5.31s/it] 80%|███████▉ | 3980/5000 [11:00:58<1:29:50, 5.28s/it] 80%|███████▉ | 3981/5000 [11:01:03<1:29:49, 5.29s/it] 80%|███████▉ | 3982/5000 [11:01:09<1:29:06, 5.25s/it] 80%|███████▉ | 3983/5000 [11:01:14<1:28:38, 5.23s/it] 80%|███████▉ | 3984/5000 [11:01:19<1:28:35, 5.23s/it] 80%|███████▉ | 3985/5000 [11:01:24<1:28:53, 5.25s/it] 80%|███████▉ | 3986/5000 [11:01:30<1:29:18, 5.28s/it] 80%|███████▉ | 3987/5000 [11:01:35<1:30:22, 5.35s/it] 80%|███████▉ | 3988/5000 [11:01:40<1:29:37, 5.31s/it] 80%|███████▉ | 3989/5000 [11:01:46<1:29:54, 5.34s/it] 80%|███████▉ | 3990/5000 [11:01:51<1:29:15, 5.30s/it] 80%|███████▉ | 3991/5000 [11:01:56<1:29:02, 5.29s/it] 80%|███████▉ | 3992/5000 [11:02:02<1:30:01, 5.36s/it] 80%|███████▉ | 3993/5000 [11:02:10<1:44:23, 6.22s/it] 80%|███████▉ | 3994/5000 [11:02:15<1:39:42, 5.95s/it] 80%|███████▉ | 3995/5000 [11:02:21<1:36:12, 5.74s/it] 80%|███████▉ | 3996/5000 [11:02:26<1:34:07, 5.63s/it] 80%|███████▉ | 3997/5000 [11:02:31<1:31:53, 5.50s/it] 80%|███████▉ | 3998/5000 [11:02:36<1:30:21, 5.41s/it] 80%|███████▉ | 3999/5000 [11:02:42<1:28:47, 5.32s/it] 80%|████████ | 4000/5000 [11:02:47<1:28:14, 5.29s/it] 80%|████████ | 4000/5000 [11:02:47<1:28:14, 5.29s/it][INFO|trainer.py:2956] 2022-12-13 00:38:15,307 >> ***** Running Evaluation ***** [INFO|trainer.py:2960] 2022-12-13 00:38:15,307 >> Num examples: Unknown [INFO|trainer.py:2961] 2022-12-13 00:38:15,307 >> Batch size = 16 [INFO|trainer_utils.py:689] 2022-12-13 00:38:43,970 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 80%|████████ | 4000/5000 [12:39:03<1:28:14, 5.29s/it][INFO|trainer.py:2701] 2022-12-13 02:14:31,582 >> Saving model checkpoint to ./checkpoint-4000 [INFO|configuration_utils.py:447] 2022-12-13 02:14:31,583 >> Configuration saved in ./checkpoint-4000/config.json [INFO|modeling_utils.py:1671] 2022-12-13 02:14:34,137 >> Model weights saved in ./checkpoint-4000/pytorch_model.bin [INFO|feature_extraction_utils.py:368] 2022-12-13 02:14:34,152 >> Feature extractor saved in ./checkpoint-4000/preprocessor_config.json [INFO|feature_extraction_utils.py:368] 2022-12-13 02:14:44,618 >> Feature extractor saved in ./preprocessor_config.json 80%|████████ | 4001/5000 [12:40:54<491:09:22, 1769.93s/it] 80%|████████ | 4002/5000 [12:41:02<344:06:09, 1241.25s/it] 80%|████████ | 4003/5000 [12:41:09<241:14:49, 871.10s/it] 80%|████████ | 4004/5000 [12:41:15<169:12:22, 611.59s/it] 80%|████████ | 4005/5000 [12:41:23<118:56:24, 430.34s/it] 80%|████████ | 4006/5000 [12:41:30<83:47:00, 303.44s/it] 80%|████████ | 4007/5000 [12:41:36<59:03:53, 214.13s/it] 80%|████████ | 4008/5000 [12:41:44<41:57:22, 152.26s/it] 80%|████████ | 4009/5000 [12:41:52<29:59:04, 108.92s/it] 80%|████████ | 4010/5000 [12:41:58<21:30:15, 78.20s/it] 80%|████████ | 4011/5000 [12:42:06<15:40:15, 57.04s/it] 80%|████████ | 4012/5000 [12:42:12<11:26:36, 41.70s/it] 80%|████████ | 4013/5000 [12:42:19<8:35:10, 31.32s/it] 80%|████████ | 4014/5000 [12:42:26<6:34:28, 24.00s/it] 80%|████████ | 4015/5000 [12:42:33<5:11:49, 18.99s/it] 80%|████████ | 4016/5000 [12:42:41<4:15:27, 15.58s/it] 80%|████████ | 4017/5000 [12:42:46<3:24:23, 12.48s/it] 80%|████████ | 4018/5000 [12:42:52<2:55:32, 10.73s/it] 80%|████████ | 4019/5000 [12:42:58<2:27:59, 9.05s/it] 80%|████████ | 4020/5000 [12:43:03<2:08:58, 7.90s/it] 80%|████████ | 4021/5000 [12:43:08<1:56:00, 7.11s/it] 80%|████████ | 4022/5000 [12:43:13<1:46:50, 6.55s/it] 80%|████████ | 4023/5000 [12:43:19<1:40:37, 6.18s/it] 80%|████████ | 4024/5000 [12:43:24<1:36:47, 5.95s/it] 80%|████████ | 4025/5000 [12:43:29<1:34:01, 5.79s/it] 80%|████████ | 4025/5000 [12:43:29<1:34:01, 5.79s/it] 81%|████████ | 4026/5000 [12:43:35<1:30:59, 5.61s/it] 81%|████████ | 4027/5000 [12:43:40<1:29:28, 5.52s/it] 81%|████████ | 4028/5000 [12:43:45<1:29:41, 5.54s/it] 81%|████████ | 4029/5000 [12:43:51<1:27:53, 5.43s/it] 81%|████████ | 4030/5000 [12:43:56<1:26:57, 5.38s/it] 81%|████████ | 4031/5000 [12:44:01<1:26:20, 5.35s/it] 81%|████████ | 4032/5000 [12:44:06<1:25:38, 5.31s/it] 81%|████████ | 4033/5000 [12:44:12<1:25:24, 5.30s/it] 81%|████████ | 4034/5000 [12:44:18<1:28:04, 5.47s/it] 81%|████████ | 4035/5000 [12:44:23<1:26:51, 5.40s/it] 81%|████████ | 4036/5000 [12:44:28<1:26:13, 5.37s/it] 81%|████████ | 4037/5000 [12:44:33<1:25:30, 5.33s/it] 81%|████████ | 4038/5000 [12:44:39<1:24:49, 5.29s/it] 81%|████████ | 4039/5000 [12:44:44<1:27:18, 5.45s/it] 81%|████████ | 4040/5000 [12:44:50<1:26:10, 5.39s/it] 81%|████████ | 4041/5000 [12:44:55<1:25:16, 5.33s/it] 81%|████████ | 4042/5000 [12:45:00<1:25:29, 5.35s/it] 81%|████████ | 4043/5000 [12:45:05<1:24:53, 5.32s/it] 81%|████████ | 4044/5000 [12:45:11<1:24:31, 5.30s/it] 81%|████████ | 4045/5000 [12:45:16<1:23:41, 5.26s/it] 81%|████████ | 4046/5000 [12:45:21<1:24:50, 5.34s/it] 81%|████████ | 4047/5000 [12:45:27<1:23:43, 5.27s/it] 81%|████████ | 4048/5000 [12:45:34<1:36:30, 6.08s/it] 81%|████████ | 4049/5000 [12:45:40<1:32:08, 5.81s/it] 81%|████████ | 4050/5000 [12:45:45<1:31:24, 5.77s/it] 81%|████████ | 4050/5000 [12:45:45<1:31:24, 5.77s/it] 81%|████████ | 4051/5000 [12:45:52<1:36:03, 6.07s/it] 81%|████████ | 4052/5000 [12:45:59<1:37:40, 6.18s/it] 81%|████████ | 4053/5000 [12:46:04<1:32:57, 5.89s/it] 81%|████████ | 4054/5000 [12:46:11<1:37:54, 6.21s/it] 81%|████████ | 4055/5000 [12:46:16<1:32:34, 5.88s/it] 81%|████████ | 4056/5000 [12:46:21<1:29:26, 5.69s/it] 81%|████████ | 4057/5000 [12:46:26<1:27:14, 5.55s/it] 81%|████████ | 4058/5000 [12:46:32<1:25:40, 5.46s/it] 81%|████████ | 4059/5000 [12:46:39<1:33:35, 5.97s/it] 81%|████████ | 4060/5000 [12:46:44<1:29:39, 5.72s/it] 81%|████████ | 4061/5000 [12:46:49<1:26:54, 5.55s/it] 81%|████████ | 4062/5000 [12:46:54<1:25:26, 5.47s/it] 81%|████████▏ | 4063/5000 [12:47:00<1:26:52, 5.56s/it] 81%|████████▏ | 4064/5000 [12:47:06<1:27:35, 5.61s/it] 81%|████████▏ | 4065/5000 [12:47:11<1:25:45, 5.50s/it] 81%|████████▏ | 4066/5000 [12:47:19<1:37:23, 6.26s/it] 81%|████████▏ | 4067/5000 [12:47:24<1:32:22, 5.94s/it] 81%|████████▏ | 4068/5000 [12:47:29<1:28:52, 5.72s/it] 81%|████████▏ | 4069/5000 [12:47:35<1:27:51, 5.66s/it] 81%|████████▏ | 4070/5000 [12:47:42<1:36:11, 6.21s/it] 81%|████████▏ | 4071/5000 [12:47:48<1:31:36, 5.92s/it] 81%|████████▏ | 4072/5000 [12:47:53<1:28:40, 5.73s/it] 81%|████████▏ | 4073/5000 [12:48:01<1:39:26, 6.44s/it] 81%|████████▏ | 4074/5000 [12:48:06<1:33:41, 6.07s/it] 82%|████████▏ | 4075/5000 [12:48:12<1:29:40, 5.82s/it] 82%|████████▏ | 4075/5000 [12:48:12<1:29:40, 5.82s/it] 82%|████████▏ | 4076/5000 [12:48:17<1:28:04, 5.72s/it] 82%|████████▏ | 4077/5000 [12:48:23<1:28:09, 5.73s/it] 82%|████████▏ | 4078/5000 [12:48:28<1:25:14, 5.55s/it] 82%|████████▏ | 4079/5000 [12:48:33<1:23:29, 5.44s/it] 82%|████████▏ | 4080/5000 [12:48:38<1:22:19, 5.37s/it] 82%|████████▏ | 4081/5000 [12:48:44<1:21:49, 5.34s/it] 82%|████████▏ | 4082/5000 [12:48:49<1:22:36, 5.40s/it] 82%|████████▏ | 4083/5000 [12:48:56<1:27:29, 5.72s/it] 82%|████████▏ | 4084/5000 [12:49:01<1:24:44, 5.55s/it] 82%|████████▏ | 4085/5000 [12:49:06<1:23:07, 5.45s/it] 82%|████████▏ | 4086/5000 [12:49:11<1:22:13, 5.40s/it] 82%|████████▏ | 4087/5000 [12:49:16<1:20:43, 5.30s/it] 82%|████████▏ | 4088/5000 [12:49:23<1:26:06, 5.67s/it] 82%|████████▏ | 4089/5000 [12:49:28<1:24:39, 5.58s/it] 82%|████████▏ | 4090/5000 [12:49:33<1:22:36, 5.45s/it] 82%|████████▏ | 4091/5000 [12:49:39<1:21:28, 5.38s/it] 82%|████████▏ | 4092/5000 [12:49:44<1:20:42, 5.33s/it] 82%|████████▏ | 4093/5000 [12:49:49<1:19:50, 5.28s/it] 82%|████████▏ | 4094/5000 [12:49:54<1:20:05, 5.30s/it] 82%|████████▏ | 4095/5000 [12:49:59<1:19:26, 5.27s/it] 82%|████████▏ | 4096/5000 [12:50:06<1:27:15, 5.79s/it] 82%|████████▏ | 4097/5000 [12:50:12<1:24:22, 5.61s/it] 82%|████████▏ | 4098/5000 [12:50:17<1:25:00, 5.65s/it] 82%|████████▏ | 4099/5000 [12:50:24<1:27:40, 5.84s/it] 82%|████████▏ | 4100/5000 [12:50:29<1:24:50, 5.66s/it] 82%|████████▏ | 4100/5000 [12:50:29<1:24:50, 5.66s/it] 82%|████████▏ | 4101/5000 [12:50:34<1:22:54, 5.53s/it] 82%|████████▏ | 4102/5000 [12:50:39<1:21:35, 5.45s/it] 82%|████████▏ | 4103/5000 [12:50:49<1:37:55, 6.55s/it] 82%|████████▏ | 4104/5000 [12:50:54<1:31:42, 6.14s/it] 82%|████████▏ | 4105/5000 [12:50:59<1:27:25, 5.86s/it] 82%|████████▏ | 4106/5000 [12:51:04<1:24:20, 5.66s/it] 82%|████████▏ | 4107/5000 [12:51:09<1:22:22, 5.53s/it] 82%|████████▏ | 4108/5000 [12:51:15<1:21:17, 5.47s/it] 82%|████████▏ | 4109/5000 [12:51:20<1:19:45, 5.37s/it] 82%|████████▏ | 4110/5000 [12:51:25<1:18:48, 5.31s/it] 82%|████████▏ | 4111/5000 [12:51:33<1:31:37, 6.18s/it] 82%|████████▏ | 4112/5000 [12:51:38<1:27:13, 5.89s/it] 82%|████████▏ | 4113/5000 [12:51:44<1:24:09, 5.69s/it] 82%|████████▏ | 4114/5000 [12:51:49<1:22:07, 5.56s/it] 82%|████████▏ | 4115/5000 [12:51:54<1:20:32, 5.46s/it] 82%|████████▏ | 4116/5000 [12:52:00<1:23:59, 5.70s/it] 82%|████████▏ | 4117/5000 [12:52:06<1:21:53, 5.56s/it] 82%|████████▏ | 4118/5000 [12:52:11<1:20:08, 5.45s/it] 82%|████████▏ | 4119/5000 [12:52:16<1:20:17, 5.47s/it] 82%|████████▏ | 4120/5000 [12:52:22<1:18:53, 5.38s/it] 82%|████████▏ | 4121/5000 [12:52:28<1:23:52, 5.73s/it] 82%|████████▏ | 4122/5000 [12:52:33<1:21:39, 5.58s/it] 82%|████████▏ | 4123/5000 [12:52:38<1:19:24, 5.43s/it] 82%|████████▏ | 4124/5000 [12:52:45<1:23:27, 5.72s/it] 82%|████████▎ | 4125/5000 [12:52:50<1:21:08, 5.56s/it] 82%|████████▎ | 4125/5000 [12:52:50<1:21:08, 5.56s/it] 83%|████████▎ | 4126/5000 [12:52:55<1:19:53, 5.48s/it] 83%|████████▎ | 4127/5000 [12:53:02<1:23:58, 5.77s/it] 83%|████████▎ | 4128/5000 [12:53:07<1:21:37, 5.62s/it] 83%|████████▎ | 4129/5000 [12:53:12<1:19:22, 5.47s/it] 83%|████████▎ | 4130/5000 [12:53:17<1:17:53, 5.37s/it] 83%|████████▎ | 4131/5000 [12:53:22<1:16:43, 5.30s/it] 83%|████████▎ | 4132/5000 [12:53:28<1:16:20, 5.28s/it] 83%|████████▎ | 4133/5000 [12:53:33<1:15:37, 5.23s/it] 83%|████████▎ | 4134/5000 [12:53:38<1:15:40, 5.24s/it] 83%|████████▎ | 4135/5000 [12:53:44<1:20:33, 5.59s/it] 83%|████████▎ | 4136/5000 [12:53:50<1:18:41, 5.46s/it] 83%|████████▎ | 4137/5000 [12:53:56<1:20:57, 5.63s/it] 83%|████████▎ | 4138/5000 [12:54:01<1:19:40, 5.55s/it] 83%|████████▎ | 4139/5000 [12:54:08<1:24:21, 5.88s/it] 83%|████████▎ | 4140/5000 [12:54:13<1:20:43, 5.63s/it] 83%|████████▎ | 4141/5000 [12:54:18<1:18:57, 5.52s/it] 83%|████████▎ | 4142/5000 [12:54:23<1:17:15, 5.40s/it] 83%|████████▎ | 4143/5000 [12:54:28<1:16:25, 5.35s/it] 83%|████████▎ | 4144/5000 [12:54:33<1:15:53, 5.32s/it] 83%|████████▎ | 4145/5000 [12:54:42<1:30:26, 6.35s/it] 83%|████████▎ | 4146/5000 [12:54:47<1:25:19, 5.99s/it] 83%|████████▎ | 4147/5000 [12:54:53<1:21:48, 5.75s/it] 83%|████████▎ | 4148/5000 [12:54:58<1:19:27, 5.60s/it] 83%|████████▎ | 4149/5000 [12:55:03<1:17:38, 5.47s/it] 83%|████████▎ | 4150/5000 [12:55:08<1:16:23, 5.39s/it] 83%|████████▎ | 4150/5000 [12:55:08<1:16:23, 5.39s/it] 83%|████████▎ | 4151/5000 [12:55:13<1:15:26, 5.33s/it] 83%|████████▎ | 4152/5000 [12:55:19<1:16:07, 5.39s/it] 83%|████████▎ | 4153/5000 [12:55:24<1:15:41, 5.36s/it] 83%|████████▎ | 4154/5000 [12:55:29<1:14:50, 5.31s/it] 83%|████████▎ | 4155/5000 [12:55:35<1:14:31, 5.29s/it] 83%|████████▎ | 4156/5000 [12:55:40<1:16:26, 5.43s/it] 83%|████████▎ | 4157/5000 [12:55:46<1:15:06, 5.35s/it] 83%|████████▎ | 4158/5000 [12:55:55<1:32:41, 6.61s/it] 83%|████████▎ | 4159/5000 [12:56:02<1:34:42, 6.76s/it] 83%|████████▎ | 4160/5000 [12:56:07<1:28:07, 6.29s/it] 83%|████████▎ | 4161/5000 [12:56:16<1:39:24, 7.11s/it] 83%|████████▎ | 4162/5000 [12:56:22<1:33:15, 6.68s/it] 83%|████████▎ | 4163/5000 [12:56:27<1:27:00, 6.24s/it] 83%|████████▎ | 4164/5000 [12:56:32<1:22:08, 5.89s/it] 83%|████████▎ | 4165/5000 [12:56:38<1:18:51, 5.67s/it] 83%|████████▎ | 4166/5000 [12:56:43<1:16:27, 5.50s/it] 83%|████████▎ | 4167/5000 [12:56:48<1:14:37, 5.38s/it] 83%|████████▎ | 4168/5000 [12:56:53<1:13:59, 5.34s/it] 83%|████████▎ | 4169/5000 [12:56:58<1:14:27, 5.38s/it] 83%|████████▎ | 4170/5000 [12:57:04<1:13:26, 5.31s/it] 83%|████████▎ | 4171/5000 [12:57:09<1:12:48, 5.27s/it] 83%|████████▎ | 4172/5000 [12:57:14<1:12:11, 5.23s/it] 83%|████████▎ | 4173/5000 [12:57:19<1:11:46, 5.21s/it] 83%|████████▎ | 4174/5000 [12:57:24<1:11:45, 5.21s/it] 84%|████████▎ | 4175/5000 [12:57:31<1:19:08, 5.76s/it] 84%|████████▎ | 4175/5000 [12:57:31<1:19:08, 5.76s/it] 84%|████████▎ | 4176/5000 [12:57:37<1:19:52, 5.82s/it] 84%|████████▎ | 4177/5000 [12:57:42<1:17:12, 5.63s/it] 84%|████████▎ | 4178/5000 [12:57:48<1:15:20, 5.50s/it] 84%|████████▎ | 4179/5000 [12:57:53<1:13:47, 5.39s/it] 84%|████████▎ | 4180/5000 [12:58:01<1:24:43, 6.20s/it] 84%|████████▎ | 4181/5000 [12:58:06<1:20:40, 5.91s/it] 84%|████████▎ | 4182/5000 [12:58:11<1:16:43, 5.63s/it] 84%|████████▎ | 4183/5000 [12:58:16<1:15:21, 5.53s/it] 84%|████████▎ | 4184/5000 [12:58:22<1:16:32, 5.63s/it] 84%|████████▎ | 4185/5000 [12:58:27<1:14:40, 5.50s/it] 84%|████████▎ | 4186/5000 [12:58:33<1:13:22, 5.41s/it] 84%|████████▎ | 4187/5000 [12:58:38<1:12:08, 5.32s/it] 84%|████████▍ | 4188/5000 [12:58:43<1:11:18, 5.27s/it] 84%|████████▍ | 4189/5000 [12:58:48<1:10:57, 5.25s/it] 84%|████████▍ | 4190/5000 [12:58:55<1:15:50, 5.62s/it] 84%|████████▍ | 4191/5000 [12:59:00<1:13:43, 5.47s/it] 84%|████████▍ | 4192/5000 [12:59:05<1:12:15, 5.37s/it] 84%|████████▍ | 4193/5000 [12:59:10<1:11:36, 5.32s/it] 84%|████████▍ | 4194/5000 [12:59:15<1:10:24, 5.24s/it] 84%|████████▍ | 4195/5000 [12:59:20<1:09:27, 5.18s/it] 84%|████████▍ | 4196/5000 [12:59:25<1:09:21, 5.18s/it] 84%|████████▍ | 4197/5000 [12:59:31<1:11:27, 5.34s/it] 84%|████████▍ | 4198/5000 [12:59:36<1:10:22, 5.26s/it] 84%|████████▍ | 4199/5000 [12:59:41<1:09:28, 5.20s/it] 84%|████████▍ | 4200/5000 [12:59:46<1:09:33, 5.22s/it] 84%|████████▍ | 4200/5000 [12:59:46<1:09:33, 5.22s/it] 84%|████████▍ | 4201/5000 [12:59:52<1:09:08, 5.19s/it] 84%|████████▍ | 4202/5000 [12:59:57<1:09:47, 5.25s/it] 84%|████████▍ | 4203/5000 [13:00:02<1:09:40, 5.25s/it] 84%|████████▍ | 4204/5000 [13:00:07<1:09:30, 5.24s/it] 84%|████████▍ | 4205/5000 [13:00:13<1:09:24, 5.24s/it] 84%|████████▍ | 4206/5000 [13:00:18<1:09:39, 5.26s/it] 84%|████████▍ | 4207/5000 [13:00:23<1:09:21, 5.25s/it] 84%|████████▍ | 4208/5000 [13:00:28<1:09:24, 5.26s/it] 84%|████████▍ | 4209/5000 [13:00:35<1:15:16, 5.71s/it] 84%|████████▍ | 4210/5000 [13:00:41<1:13:32, 5.59s/it] 84%|████████▍ | 4211/5000 [13:00:46<1:12:08, 5.49s/it] 84%|████████▍ | 4212/5000 [13:00:51<1:11:35, 5.45s/it] 84%|████████▍ | 4213/5000 [13:01:00<1:25:59, 6.56s/it] 84%|████████▍ | 4214/5000 [13:01:06<1:20:49, 6.17s/it] 84%|████████▍ | 4215/5000 [13:01:11<1:16:58, 5.88s/it] 84%|████████▍ | 4216/5000 [13:01:16<1:13:57, 5.66s/it] 84%|████████▍ | 4217/5000 [13:01:21<1:12:15, 5.54s/it] 84%|████████▍ | 4218/5000 [13:01:26<1:10:50, 5.43s/it] 84%|████████▍ | 4219/5000 [13:01:32<1:12:15, 5.55s/it] 84%|████████▍ | 4220/5000 [13:01:38<1:11:30, 5.50s/it] 84%|████████▍ | 4221/5000 [13:01:43<1:10:20, 5.42s/it] 84%|████████▍ | 4222/5000 [13:01:48<1:09:44, 5.38s/it] 84%|████████▍ | 4223/5000 [13:01:53<1:08:46, 5.31s/it] 84%|████████▍ | 4224/5000 [13:01:58<1:08:26, 5.29s/it] 84%|████████▍ | 4225/5000 [13:02:04<1:07:45, 5.25s/it] 84%|████████▍ | 4225/5000 [13:02:04<1:07:45, 5.25s/it] 85%|████████▍ | 4226/5000 [13:02:09<1:07:58, 5.27s/it] 85%|████████▍ | 4227/5000 [13:02:15<1:10:28, 5.47s/it] 85%|████████▍ | 4228/5000 [13:02:20<1:09:30, 5.40s/it] 85%|████████▍ | 4229/5000 [13:02:25<1:09:04, 5.38s/it] 85%|████████▍ | 4230/5000 [13:02:31<1:08:43, 5.36s/it] 85%|████████▍ | 4231/5000 [13:02:36<1:08:10, 5.32s/it] 85%|████████▍ | 4232/5000 [13:02:43<1:13:54, 5.77s/it] 85%|████████▍ | 4233/5000 [13:02:48<1:11:58, 5.63s/it] 85%|████████▍ | 4234/5000 [13:02:53<1:10:13, 5.50s/it] 85%|████████▍ | 4235/5000 [13:02:59<1:09:10, 5.43s/it] 85%|████████▍ | 4236/5000 [13:03:04<1:08:12, 5.36s/it] 85%|████████▍ | 4237/5000 [13:03:09<1:07:50, 5.34s/it] 85%|████████▍ | 4238/5000 [13:03:14<1:07:34, 5.32s/it] 85%|████████▍ | 4239/5000 [13:03:19<1:06:46, 5.26s/it] 85%|████████▍ | 4240/5000 [13:03:25<1:07:40, 5.34s/it] 85%|████████▍ | 4241/5000 [13:03:34<1:21:06, 6.41s/it] 85%|████████▍ | 4242/5000 [13:03:39<1:15:56, 6.01s/it] 85%|████████▍ | 4243/5000 [13:03:44<1:13:41, 5.84s/it] 85%|████████▍ | 4244/5000 [13:03:51<1:15:34, 6.00s/it] 85%|████████▍ | 4245/5000 [13:03:58<1:19:53, 6.35s/it] 85%|████████▍ | 4246/5000 [13:04:03<1:15:45, 6.03s/it] 85%|████████▍ | 4247/5000 [13:04:09<1:12:51, 5.81s/it] 85%|████████▍ | 4248/5000 [13:04:14<1:10:48, 5.65s/it] 85%|████████▍ | 4249/5000 [13:04:19<1:09:23, 5.54s/it] 85%|████████▌ | 4250/5000 [13:04:25<1:10:13, 5.62s/it] 85%|████████▌ | 4250/5000 [13:04:25<1:10:13, 5.62s/it] 85%|████████▌ | 4251/5000 [13:04:30<1:08:58, 5.53s/it] 85%|████████▌ | 4252/5000 [13:04:35<1:07:22, 5.40s/it] 85%|████████▌ | 4253/5000 [13:04:41<1:08:40, 5.52s/it] 85%|████████▌ | 4254/5000 [13:04:46<1:07:33, 5.43s/it] 85%|████████▌ | 4255/5000 [13:04:52<1:06:52, 5.39s/it] 85%|████████▌ | 4256/5000 [13:04:57<1:06:24, 5.36s/it] 85%|████████▌ | 4257/5000 [13:05:02<1:05:49, 5.32s/it] 85%|████████▌ | 4258/5000 [13:05:07<1:05:33, 5.30s/it] 85%|████████▌ | 4259/5000 [13:05:13<1:05:14, 5.28s/it] 85%|████████▌ | 4260/5000 [13:05:18<1:05:10, 5.28s/it] 85%|████████▌ | 4261/5000 [13:05:23<1:05:07, 5.29s/it] 85%|████████▌ | 4262/5000 [13:05:28<1:04:51, 5.27s/it] 85%|████████▌ | 4263/5000 [13:05:34<1:05:35, 5.34s/it] 85%|████████▌ | 4264/5000 [13:05:39<1:05:28, 5.34s/it] 85%|████████▌ | 4265/5000 [13:05:45<1:05:17, 5.33s/it] 85%|████████▌ | 4266/5000 [13:05:50<1:04:52, 5.30s/it] 85%|████████▌ | 4267/5000 [13:05:58<1:13:32, 6.02s/it] 85%|████████▌ | 4268/5000 [13:06:06<1:22:31, 6.76s/it] 85%|████████▌ | 4269/5000 [13:06:11<1:16:27, 6.28s/it] 85%|████████▌ | 4270/5000 [13:06:16<1:12:13, 5.94s/it] 85%|████████▌ | 4271/5000 [13:06:22<1:09:27, 5.72s/it] 85%|████████▌ | 4272/5000 [13:06:27<1:08:00, 5.60s/it] 85%|████████▌ | 4273/5000 [13:06:35<1:16:22, 6.30s/it] 85%|████████▌ | 4274/5000 [13:06:40<1:12:23, 5.98s/it] 86%|████████▌ | 4275/5000 [13:06:46<1:11:41, 5.93s/it] 86%|████████▌ | 4275/5000 [13:06:46<1:11:41, 5.93s/it] 86%|████████▌ | 4276/5000 [13:06:52<1:12:14, 5.99s/it] 86%|████████▌ | 4277/5000 [13:06:57<1:09:01, 5.73s/it] 86%|████████▌ | 4278/5000 [13:07:02<1:07:13, 5.59s/it] 86%|████████▌ | 4279/5000 [13:07:08<1:05:53, 5.48s/it] 86%|████████▌ | 4280/5000 [13:07:13<1:05:05, 5.42s/it] 86%|████████▌ | 4281/5000 [13:07:18<1:05:02, 5.43s/it] 86%|████████▌ | 4282/5000 [13:07:23<1:04:05, 5.36s/it] 86%|████████▌ | 4283/5000 [13:07:29<1:03:36, 5.32s/it] 86%|████████▌ | 4284/5000 [13:07:34<1:03:12, 5.30s/it] 86%|████████▌ | 4285/5000 [13:07:39<1:02:48, 5.27s/it] 86%|████████▌ | 4286/5000 [13:07:46<1:09:25, 5.83s/it] 86%|████████▌ | 4287/5000 [13:07:52<1:07:14, 5.66s/it] 86%|████████▌ | 4288/5000 [13:07:57<1:05:39, 5.53s/it] 86%|████████▌ | 4289/5000 [13:08:02<1:04:18, 5.43s/it] 86%|████████▌ | 4290/5000 [13:08:07<1:03:42, 5.38s/it] 86%|████████▌ | 4291/5000 [13:08:12<1:02:57, 5.33s/it] 86%|████████▌ | 4292/5000 [13:08:18<1:02:40, 5.31s/it] 86%|████████▌ | 4293/5000 [13:08:23<1:02:13, 5.28s/it] 86%|████████▌ | 4294/5000 [13:08:28<1:02:03, 5.27s/it] 86%|████████▌ | 4295/5000 [13:08:33<1:01:31, 5.24s/it] 86%|████████▌ | 4296/5000 [13:08:39<1:01:34, 5.25s/it] 86%|████████▌ | 4297/5000 [13:08:44<1:01:16, 5.23s/it] 86%|████████▌ | 4298/5000 [13:08:49<1:01:07, 5.22s/it] 86%|████████▌ | 4299/5000 [13:08:54<1:00:52, 5.21s/it] 86%|████████▌ | 4300/5000 [13:08:59<1:00:32, 5.19s/it] 86%|████████▌ | 4300/5000 [13:08:59<1:00:32, 5.19s/it] 86%|████████▌ | 4301/5000 [13:09:05<1:00:36, 5.20s/it] 86%|████████▌ | 4302/5000 [13:09:10<1:00:21, 5.19s/it] 86%|████████▌ | 4303/5000 [13:09:15<1:00:15, 5.19s/it] 86%|████████▌ | 4304/5000 [13:09:21<1:02:44, 5.41s/it] 86%|████████▌ | 4305/5000 [13:09:27<1:03:29, 5.48s/it] 86%|████████▌ | 4306/5000 [13:09:32<1:02:19, 5.39s/it] 86%|████████▌ | 4307/5000 [13:09:37<1:01:38, 5.34s/it] 86%|████████▌ | 4308/5000 [13:09:42<1:01:08, 5.30s/it] 86%|████████▌ | 4309/5000 [13:09:47<1:00:59, 5.30s/it] 86%|████████▌ | 4310/5000 [13:09:53<1:02:46, 5.46s/it] 86%|████████▌ | 4311/5000 [13:10:00<1:06:43, 5.81s/it] 86%|████████▌ | 4312/5000 [13:10:05<1:04:39, 5.64s/it] 86%|████████▋ | 4313/5000 [13:10:10<1:03:00, 5.50s/it] 86%|████████▋ | 4314/5000 [13:10:15<1:01:52, 5.41s/it] 86%|████████▋ | 4315/5000 [13:10:21<1:01:04, 5.35s/it] 86%|████████▋ | 4316/5000 [13:10:26<1:00:40, 5.32s/it] 86%|████████▋ | 4317/5000 [13:10:31<1:00:17, 5.30s/it] 86%|████████▋ | 4318/5000 [13:10:36<1:00:08, 5.29s/it] 86%|████████▋ | 4319/5000 [13:10:42<59:53, 5.28s/it] 86%|████████▋ | 4320/5000 [13:10:47<59:45, 5.27s/it] 86%|████████▋ | 4321/5000 [13:10:52<59:11, 5.23s/it] 86%|████████▋ | 4322/5000 [13:11:00<1:08:48, 6.09s/it] 86%|████████▋ | 4323/5000 [13:11:05<1:05:59, 5.85s/it] 86%|████████▋ | 4324/5000 [13:11:11<1:03:48, 5.66s/it] 86%|████████▋ | 4325/5000 [13:11:16<1:02:22, 5.54s/it] 86%|████████▋ | 4325/5000 [13:11:16<1:02:22, 5.54s/it] 87%|████████▋ | 4326/5000 [13:11:21<1:01:00, 5.43s/it] 87%|████████▋ | 4327/5000 [13:11:26<1:00:26, 5.39s/it] 87%|████████▋ | 4328/5000 [13:11:32<1:00:46, 5.43s/it] 87%|████████▋ | 4329/5000 [13:11:37<1:00:09, 5.38s/it] 87%|████████▋ | 4330/5000 [13:11:42<59:26, 5.32s/it] 87%|████████▋ | 4331/5000 [13:11:48<1:00:20, 5.41s/it] 87%|████████▋ | 4332/5000 [13:11:54<1:01:21, 5.51s/it] 87%|████████▋ | 4333/5000 [13:11:59<1:00:09, 5.41s/it] 87%|████████▋ | 4334/5000 [13:12:04<59:27, 5.36s/it] 87%|████████▋ | 4335/5000 [13:12:09<58:57, 5.32s/it] 87%|████████▋ | 4336/5000 [13:12:15<58:33, 5.29s/it] 87%|████████▋ | 4337/5000 [13:12:20<58:05, 5.26s/it] 87%|████████▋ | 4338/5000 [13:12:25<57:56, 5.25s/it] 87%|████████▋ | 4339/5000 [13:12:30<57:56, 5.26s/it] 87%|████████▋ | 4340/5000 [13:12:37<1:00:58, 5.54s/it] 87%|████████▋ | 4341/5000 [13:12:42<59:41, 5.43s/it] 87%|████████▋ | 4342/5000 [13:12:48<1:01:50, 5.64s/it] 87%|████████▋ | 4343/5000 [13:12:53<1:00:34, 5.53s/it] 87%|████████▋ | 4344/5000 [13:12:58<59:32, 5.45s/it] 87%|████████▋ | 4345/5000 [13:13:04<58:33, 5.36s/it] 87%|████████▋ | 4346/5000 [13:13:09<58:11, 5.34s/it] 87%|████████▋ | 4347/5000 [13:13:17<1:08:46, 6.32s/it] 87%|████████▋ | 4348/5000 [13:13:23<1:05:09, 6.00s/it] 87%|████████▋ | 4349/5000 [13:13:28<1:02:28, 5.76s/it] 87%|████████▋ | 4350/5000 [13:13:33<1:00:30, 5.58s/it] 87%|████████▋ | 4350/5000 [13:13:33<1:00:30, 5.58s/it] 87%|████████▋ | 4351/5000 [13:13:38<59:12, 5.47s/it] 87%|████████▋ | 4352/5000 [13:13:44<1:01:29, 5.69s/it] 87%|████████▋ | 4353/5000 [13:13:50<59:56, 5.56s/it] 87%|████████▋ | 4354/5000 [13:13:58<1:07:11, 6.24s/it] 87%|████████▋ | 4355/5000 [13:14:03<1:05:12, 6.07s/it] 87%|████████▋ | 4356/5000 [13:14:08<1:02:23, 5.81s/it] 87%|████████▋ | 4357/5000 [13:14:14<1:00:31, 5.65s/it] 87%|████████▋ | 4358/5000 [13:14:19<59:34, 5.57s/it] 87%|████████▋ | 4359/5000 [13:14:25<1:01:08, 5.72s/it] 87%|████████▋ | 4360/5000 [13:14:31<1:02:14, 5.84s/it] 87%|████████▋ | 4361/5000 [13:14:36<1:00:12, 5.65s/it] 87%|████████▋ | 4362/5000 [13:14:42<58:43, 5.52s/it] 87%|████████▋ | 4363/5000 [13:14:47<57:43, 5.44s/it] 87%|████████▋ | 4364/5000 [13:14:52<57:03, 5.38s/it] 87%|████████▋ | 4365/5000 [13:14:58<56:45, 5.36s/it] 87%|████████▋ | 4366/5000 [13:15:03<56:16, 5.33s/it] 87%|████████▋ | 4367/5000 [13:15:08<56:08, 5.32s/it] 87%|████████▋ | 4368/5000 [13:15:13<55:40, 5.29s/it] 87%|████████▋ | 4369/5000 [13:15:19<55:26, 5.27s/it] 87%|████████▋ | 4370/5000 [13:15:24<55:23, 5.28s/it] 87%|████████▋ | 4371/5000 [13:15:33<1:06:55, 6.38s/it] 87%|████████▋ | 4372/5000 [13:15:38<1:03:24, 6.06s/it] 87%|████████▋ | 4373/5000 [13:15:43<1:00:53, 5.83s/it] 87%|████████▋ | 4374/5000 [13:15:49<59:31, 5.71s/it] 88%|████████▊ | 4375/5000 [13:15:54<57:58, 5.57s/it] 88%|████████▊ | 4375/5000 [13:15:54<57:58, 5.57s/it] 88%|████████▊ | 4376/5000 [13:15:59<56:50, 5.47s/it] 88%|████████▊ | 4377/5000 [13:16:18<1:37:14, 9.37s/it] 88%|████████▊ | 4378/5000 [13:16:23<1:23:46, 8.08s/it] 88%|████████▊ | 4379/5000 [13:16:28<1:14:21, 7.18s/it] 88%|████████▊ | 4380/5000 [13:16:33<1:07:42, 6.55s/it] 88%|████████▊ | 4381/5000 [13:16:38<1:03:03, 6.11s/it] 88%|████████▊ | 4382/5000 [13:16:43<59:46, 5.80s/it] 88%|████████▊ | 4383/5000 [13:16:48<57:23, 5.58s/it] 88%|████████▊ | 4384/5000 [13:16:53<55:50, 5.44s/it] 88%|████████▊ | 4385/5000 [13:16:58<54:45, 5.34s/it] 88%|████████▊ | 4386/5000 [13:17:04<53:56, 5.27s/it] 88%|████████▊ | 4387/5000 [13:17:09<53:19, 5.22s/it] 88%|████████▊ | 4388/5000 [13:17:14<52:50, 5.18s/it] 88%|████████▊ | 4389/5000 [13:17:19<52:34, 5.16s/it] 88%|████████▊ | 4390/5000 [13:17:24<52:31, 5.17s/it] 88%|████████▊ | 4391/5000 [13:17:29<52:19, 5.16s/it] 88%|████████▊ | 4392/5000 [13:17:34<52:04, 5.14s/it] 88%|████████▊ | 4393/5000 [13:17:39<51:56, 5.13s/it] 88%|████████▊ | 4394/5000 [13:17:44<51:45, 5.12s/it] 88%|████████▊ | 4395/5000 [13:17:50<51:37, 5.12s/it] 88%|████████▊ | 4396/5000 [13:17:55<51:35, 5.12s/it] 88%|████████▊ | 4397/5000 [13:18:00<51:27, 5.12s/it] 88%|████████▊ | 4398/5000 [13:18:05<51:20, 5.12s/it] 88%|████████▊ | 4399/5000 [13:18:10<51:28, 5.14s/it] 88%|████████▊ | 4400/5000 [13:18:15<51:20, 5.13s/it] 88%|████████▊ | 4400/5000 [13:18:15<51:20, 5.13s/it] 88%|████████▊ | 4401/5000 [13:18:20<51:10, 5.13s/it] 88%|████████▊ | 4402/5000 [13:18:25<51:02, 5.12s/it] 88%|████████▊ | 4403/5000 [13:18:31<50:58, 5.12s/it] 88%|████████▊ | 4404/5000 [13:18:36<50:49, 5.12s/it] 88%|████████▊ | 4405/5000 [13:18:41<50:43, 5.11s/it] 88%|████████▊ | 4406/5000 [13:18:46<50:38, 5.12s/it] 88%|████████▊ | 4407/5000 [13:18:51<50:34, 5.12s/it] 88%|████████▊ | 4408/5000 [13:18:56<50:29, 5.12s/it] 88%|████████▊ | 4409/5000 [13:19:01<50:22, 5.11s/it] 88%|████████▊ | 4410/5000 [13:19:06<50:15, 5.11s/it] 88%|████████▊ | 4411/5000 [13:19:12<50:17, 5.12s/it] 88%|████████▊ | 4412/5000 [13:19:17<50:12, 5.12s/it] 88%|████████▊ | 4413/5000 [13:19:22<50:14, 5.14s/it] 88%|████████▊ | 4414/5000 [13:19:27<50:05, 5.13s/it] 88%|████████▊ | 4415/5000 [13:19:32<49:57, 5.12s/it] 88%|████████▊ | 4416/5000 [13:19:37<49:48, 5.12s/it] 88%|████████▊ | 4417/5000 [13:19:42<49:42, 5.12s/it] 88%|████████▊ | 4418/5000 [13:19:47<49:38, 5.12s/it] 88%|████████▊ | 4419/5000 [13:19:52<49:36, 5.12s/it] 88%|████████▊ | 4420/5000 [13:19:58<49:32, 5.12s/it] 88%|████████▊ | 4421/5000 [13:20:03<49:24, 5.12s/it] 88%|████████▊ | 4422/5000 [13:20:08<49:17, 5.12s/it] 88%|████████▊ | 4423/5000 [13:20:13<49:10, 5.11s/it] 88%|████████▊ | 4424/5000 [13:20:18<49:06, 5.12s/it] 88%|████████▊ | 4425/5000 [13:20:23<49:03, 5.12s/it] 88%|████████▊ | 4425/5000 [13:20:23<49:03, 5.12s/it] 89%|████████▊ | 4426/5000 [13:20:28<48:59, 5.12s/it] 89%|████████▊ | 4427/5000 [13:20:33<48:59, 5.13s/it] 89%|████████▊ | 4428/5000 [13:20:39<49:20, 5.18s/it] 89%|████████▊ | 4429/5000 [13:20:44<49:14, 5.17s/it] 89%|████████▊ | 4430/5000 [13:20:49<49:08, 5.17s/it] 89%|████████▊ | 4431/5000 [13:20:54<48:56, 5.16s/it] 89%|████████▊ | 4432/5000 [13:21:05<1:04:31, 6.82s/it] 89%|████████▊ | 4433/5000 [13:21:10<1:00:17, 6.38s/it] 89%|████████▊ | 4434/5000 [13:21:16<57:15, 6.07s/it] 89%|████████▊ | 4435/5000 [13:21:21<55:10, 5.86s/it] 89%|████████▊ | 4436/5000 [13:21:26<53:40, 5.71s/it] 89%|████████▊ | 4437/5000 [13:21:32<52:30, 5.60s/it] 89%|████████▉ | 4438/5000 [13:21:38<54:10, 5.78s/it] 89%|████████▉ | 4439/5000 [13:21:43<52:48, 5.65s/it] 89%|████████▉ | 4440/5000 [13:21:49<51:55, 5.56s/it] 89%|████████▉ | 4441/5000 [13:21:54<51:08, 5.49s/it] 89%|████████▉ | 4442/5000 [13:21:59<50:47, 5.46s/it] 89%|████████▉ | 4443/5000 [13:22:06<54:40, 5.89s/it] 89%|████████▉ | 4444/5000 [13:22:11<52:49, 5.70s/it] 89%|████████▉ | 4445/5000 [13:22:17<51:45, 5.60s/it] 89%|████████▉ | 4446/5000 [13:22:22<51:09, 5.54s/it] 89%|████████▉ | 4447/5000 [13:22:28<50:30, 5.48s/it] 89%|████████▉ | 4448/5000 [13:22:33<50:09, 5.45s/it] 89%|████████▉ | 4449/5000 [13:22:38<49:39, 5.41s/it] 89%|████████▉ | 4450/5000 [13:22:44<49:34, 5.41s/it] 89%|████████▉ | 4450/5000 [13:22:44<49:34, 5.41s/it] 89%|████████▉ | 4451/5000 [13:22:49<49:12, 5.38s/it] 89%|████████▉ | 4452/5000 [13:22:54<49:06, 5.38s/it] 89%|████████▉ | 4453/5000 [13:23:00<50:22, 5.53s/it] 89%|████████▉ | 4454/5000 [13:23:05<49:28, 5.44s/it] 89%|████████▉ | 4455/5000 [13:23:12<52:44, 5.81s/it] 89%|████████▉ | 4456/5000 [13:23:18<51:30, 5.68s/it] 89%|████████▉ | 4457/5000 [13:23:24<53:04, 5.86s/it] 89%|████████▉ | 4458/5000 [13:23:29<51:30, 5.70s/it] 89%|████████▉ | 4459/5000 [13:23:34<50:28, 5.60s/it] 89%|████████▉ | 4460/5000 [13:23:40<49:50, 5.54s/it] 89%|████████▉ | 4461/5000 [13:23:46<50:30, 5.62s/it] 89%|████████▉ | 4462/5000 [13:23:51<49:50, 5.56s/it] 89%|████████▉ | 4463/5000 [13:23:56<49:06, 5.49s/it] 89%|████████▉ | 4464/5000 [13:24:02<48:37, 5.44s/it] 89%|████████▉ | 4465/5000 [13:24:10<55:56, 6.27s/it] 89%|████████▉ | 4466/5000 [13:24:15<53:27, 6.01s/it] 89%|████████▉ | 4467/5000 [13:24:22<55:15, 6.22s/it] 89%|████████▉ | 4468/5000 [13:24:27<52:52, 5.96s/it] 89%|████████▉ | 4469/5000 [13:24:33<51:01, 5.77s/it] 89%|████████▉ | 4470/5000 [13:24:38<49:55, 5.65s/it] 89%|████████▉ | 4471/5000 [13:24:43<48:50, 5.54s/it] 89%|████████▉ | 4472/5000 [13:24:49<48:20, 5.49s/it] 89%|████████▉ | 4473/5000 [13:24:55<50:09, 5.71s/it] 89%|████████▉ | 4474/5000 [13:25:02<52:28, 5.99s/it] 90%|████████▉ | 4475/5000 [13:25:07<50:50, 5.81s/it] 90%|████████▉ | 4475/5000 [13:25:07<50:50, 5.81s/it] 90%|████████▉ | 4476/5000 [13:25:12<49:16, 5.64s/it] 90%|████████▉ | 4477/5000 [13:25:19<53:14, 6.11s/it] 90%|████████▉ | 4478/5000 [13:25:25<51:12, 5.89s/it] 90%|████████▉ | 4479/5000 [13:25:30<49:33, 5.71s/it] 90%|████████▉ | 4480/5000 [13:25:35<48:30, 5.60s/it] 90%|████████▉ | 4481/5000 [13:25:41<47:24, 5.48s/it] 90%|████████▉ | 4482/5000 [13:25:46<46:46, 5.42s/it] 90%|████████▉ | 4483/5000 [13:25:53<50:36, 5.87s/it] 90%|████████▉ | 4484/5000 [13:25:58<49:16, 5.73s/it] 90%|████████▉ | 4485/5000 [13:26:04<47:57, 5.59s/it] 90%|████████▉ | 4486/5000 [13:26:09<46:57, 5.48s/it] 90%|████████▉ | 4487/5000 [13:26:17<54:26, 6.37s/it] 90%|████████▉ | 4488/5000 [13:26:22<51:26, 6.03s/it] 90%|████████▉ | 4489/5000 [13:26:28<49:23, 5.80s/it] 90%|████████▉ | 4490/5000 [13:26:33<48:40, 5.73s/it] 90%|████████▉ | 4491/5000 [13:26:38<47:11, 5.56s/it] 90%|████████▉ | 4492/5000 [13:26:44<46:35, 5.50s/it] 90%|████████▉ | 4493/5000 [13:26:49<45:54, 5.43s/it] 90%|████████▉ | 4494/5000 [13:26:54<45:30, 5.40s/it] 90%|████████▉ | 4495/5000 [13:27:00<45:08, 5.36s/it] 90%|████████▉ | 4496/5000 [13:27:05<44:40, 5.32s/it] 90%|████████▉ | 4497/5000 [13:27:10<44:39, 5.33s/it] 90%|████████▉ | 4498/5000 [13:27:16<44:24, 5.31s/it] 90%|████████▉ | 4499/5000 [13:27:21<44:17, 5.30s/it] 90%|█████████ | 4500/5000 [13:27:26<43:57, 5.27s/it] 90%|█████████ | 4500/5000 [13:27:26<43:57, 5.27s/it] 90%|█████████ | 4501/5000 [13:27:31<43:42, 5.25s/it] 90%|█████████ | 4502/5000 [13:27:36<43:34, 5.25s/it] 90%|█████████ | 4503/5000 [13:27:42<43:11, 5.21s/it] 90%|█████████ | 4504/5000 [13:27:50<51:10, 6.19s/it] 90%|█████████ | 4505/5000 [13:27:59<58:16, 7.06s/it] 90%|█████████ | 4506/5000 [13:28:07<59:21, 7.21s/it] 90%|█████████ | 4507/5000 [13:28:12<54:23, 6.62s/it] 90%|█████████ | 4508/5000 [13:28:18<52:36, 6.42s/it] 90%|█████████ | 4509/5000 [13:28:23<49:21, 6.03s/it] 90%|█████████ | 4510/5000 [13:28:28<47:22, 5.80s/it] 90%|█████████ | 4511/5000 [13:28:33<45:48, 5.62s/it] 90%|█████████ | 4512/5000 [13:28:39<44:21, 5.45s/it] 90%|█████████ | 4513/5000 [13:28:44<43:47, 5.40s/it] 90%|█████████ | 4514/5000 [13:28:50<45:44, 5.65s/it] 90%|█████████ | 4515/5000 [13:28:57<47:54, 5.93s/it] 90%|█████████ | 4516/5000 [13:29:02<45:59, 5.70s/it] 90%|█████████ | 4517/5000 [13:29:07<44:34, 5.54s/it] 90%|█████████ | 4518/5000 [13:29:12<43:50, 5.46s/it] 90%|█████████ | 4519/5000 [13:29:18<43:20, 5.41s/it] 90%|█████████ | 4520/5000 [13:29:23<42:34, 5.32s/it] 90%|█████████ | 4521/5000 [13:29:28<42:04, 5.27s/it] 90%|█████████ | 4522/5000 [13:29:33<41:54, 5.26s/it] 90%|█████████ | 4523/5000 [13:29:38<41:30, 5.22s/it] 90%|█████████ | 4524/5000 [13:29:43<41:21, 5.21s/it] 90%|█████████ | 4525/5000 [13:29:49<41:16, 5.21s/it] 90%|█████████ | 4525/5000 [13:29:49<41:16, 5.21s/it] 91%|█████████ | 4526/5000 [13:29:55<43:05, 5.45s/it] 91%|█████████ | 4527/5000 [13:30:00<42:25, 5.38s/it] 91%|█████████ | 4528/5000 [13:30:05<41:56, 5.33s/it] 91%|█████████ | 4529/5000 [13:30:10<41:30, 5.29s/it] 91%|█████████ | 4530/5000 [13:30:18<48:29, 6.19s/it] 91%|█████████ | 4531/5000 [13:30:24<46:09, 5.91s/it] 91%|█████████ | 4532/5000 [13:30:29<44:37, 5.72s/it] 91%|█████████ | 4533/5000 [13:30:34<43:24, 5.58s/it] 91%|█████████ | 4534/5000 [13:30:40<42:32, 5.48s/it] 91%|█████████ | 4535/5000 [13:30:45<41:43, 5.38s/it] 91%|█████████ | 4536/5000 [13:30:50<41:13, 5.33s/it] 91%|█████████ | 4537/5000 [13:30:55<41:03, 5.32s/it] 91%|█████████ | 4538/5000 [13:31:00<40:51, 5.31s/it] 91%|█████████ | 4539/5000 [13:31:06<41:33, 5.41s/it] 91%|█████████ | 4540/5000 [13:31:11<41:04, 5.36s/it] 91%|█████████ | 4541/5000 [13:31:17<40:40, 5.32s/it] 91%|█████████ | 4542/5000 [13:31:24<45:49, 6.00s/it] 91%|█████████ | 4543/5000 [13:31:29<43:46, 5.75s/it] 91%|█████████ | 4544/5000 [13:31:34<42:20, 5.57s/it] 91%|█████████ | 4545/5000 [13:31:40<41:28, 5.47s/it] 91%|█████████ | 4546/5000 [13:31:45<40:34, 5.36s/it] 91%|█████████ | 4547/5000 [13:31:50<39:47, 5.27s/it] 91%|█████████ | 4548/5000 [13:31:55<39:11, 5.20s/it] 91%|█████████ | 4549/5000 [13:32:00<39:03, 5.20s/it] 91%|█████████ | 4550/5000 [13:32:05<39:18, 5.24s/it] 91%|█████████ | 4550/5000 [13:32:05<39:18, 5.24s/it] 91%|█████████ | 4551/5000 [13:32:11<39:02, 5.22s/it] 91%|█████████ | 4552/5000 [13:32:16<38:49, 5.20s/it] 91%|█████████ | 4553/5000 [13:32:21<38:35, 5.18s/it] 91%|█████████ | 4554/5000 [13:32:26<38:31, 5.18s/it] 91%|█████████ | 4555/5000 [13:32:31<38:14, 5.16s/it] 91%|█████████ | 4556/5000 [13:32:36<38:06, 5.15s/it] 91%|█████████ | 4557/5000 [13:32:42<38:11, 5.17s/it] 91%|█████████ | 4558/5000 [13:32:48<40:55, 5.56s/it] 91%|█████████ | 4559/5000 [13:32:53<40:12, 5.47s/it] 91%|█████████ | 4560/5000 [13:33:00<43:12, 5.89s/it] 91%|█████████ | 4561/5000 [13:33:06<43:45, 5.98s/it] 91%|█████████ | 4562/5000 [13:33:12<41:58, 5.75s/it] 91%|█████████▏| 4563/5000 [13:33:17<40:41, 5.59s/it] 91%|█████████▏| 4564/5000 [13:33:22<39:54, 5.49s/it] 91%|█████████▏| 4565/5000 [13:33:28<40:22, 5.57s/it] 91%|█████████▏| 4566/5000 [13:33:33<39:32, 5.47s/it] 91%|█████████▏| 4567/5000 [13:33:38<38:45, 5.37s/it] 91%|█████████▏| 4568/5000 [13:33:43<38:18, 5.32s/it] 91%|█████████▏| 4569/5000 [13:33:49<37:57, 5.28s/it] 91%|█████████▏| 4570/5000 [13:33:54<37:32, 5.24s/it] 91%|█████████▏| 4571/5000 [13:33:59<37:28, 5.24s/it] 91%|█████████▏| 4572/5000 [13:34:04<37:14, 5.22s/it] 91%|█████████▏| 4573/5000 [13:34:10<38:21, 5.39s/it] 91%|█████████▏| 4574/5000 [13:34:15<38:05, 5.37s/it] 92%|█████████▏| 4575/5000 [13:34:20<37:51, 5.35s/it] 92%|█████████▏| 4575/5000 [13:34:20<37:51, 5.35s/it] 92%|█████████▏| 4576/5000 [13:34:26<37:34, 5.32s/it] 92%|█████████▏| 4577/5000 [13:34:31<37:31, 5.32s/it] 92%|█████████▏| 4578/5000 [13:34:36<37:03, 5.27s/it] 92%|█████████▏| 4579/5000 [13:34:41<36:58, 5.27s/it] 92%|█████████▏| 4580/5000 [13:34:47<37:12, 5.32s/it] 92%|█████████▏| 4581/5000 [13:34:53<38:46, 5.55s/it] 92%|█████████▏| 4582/5000 [13:34:58<37:51, 5.43s/it] 92%|█████████▏| 4583/5000 [13:35:03<37:27, 5.39s/it] 92%|█████████▏| 4584/5000 [13:35:09<37:06, 5.35s/it] 92%|█████████▏| 4585/5000 [13:35:14<36:57, 5.34s/it] 92%|█████████▏| 4586/5000 [13:35:19<36:30, 5.29s/it] 92%|█████████▏| 4587/5000 [13:35:25<37:05, 5.39s/it] 92%|█████████▏| 4588/5000 [13:35:30<37:03, 5.40s/it] 92%|█████████▏| 4589/5000 [13:35:36<36:40, 5.35s/it] 92%|█████████▏| 4590/5000 [13:35:41<36:22, 5.32s/it] 92%|█████████▏| 4591/5000 [13:35:46<36:13, 5.31s/it] 92%|█████████▏| 4592/5000 [13:35:51<36:17, 5.34s/it] 92%|█████████▏| 4593/5000 [13:35:57<35:53, 5.29s/it] 92%|█████████▏| 4594/5000 [13:36:03<37:21, 5.52s/it] 92%|█████████▏| 4595/5000 [13:36:08<36:44, 5.44s/it] 92%|█████████▏| 4596/5000 [13:36:13<36:14, 5.38s/it] 92%|█████████▏| 4597/5000 [13:36:21<40:13, 5.99s/it] 92%|█████████▏| 4598/5000 [13:36:26<38:41, 5.77s/it] 92%|█████████▏| 4599/5000 [13:36:33<40:45, 6.10s/it] 92%|█████████▏| 4600/5000 [13:36:38<39:21, 5.90s/it] 92%|█████████▏| 4600/5000 [13:36:38<39:21, 5.90s/it] 92%|█████████▏| 4601/5000 [13:36:44<39:29, 5.94s/it] 92%|█████████▏| 4602/5000 [13:36:50<39:37, 5.97s/it] 92%|█████████▏| 4603/5000 [13:36:55<37:42, 5.70s/it] 92%|█████████▏| 4604/5000 [13:37:00<36:33, 5.54s/it] 92%|█████████▏| 4605/5000 [13:37:06<35:57, 5.46s/it] 92%|█████████▏| 4606/5000 [13:37:11<35:26, 5.40s/it] 92%|█████████▏| 4607/5000 [13:37:16<35:00, 5.34s/it] 92%|█████████▏| 4608/5000 [13:37:21<34:41, 5.31s/it] 92%|█████████▏| 4609/5000 [13:37:27<34:33, 5.30s/it] 92%|█████████▏| 4610/5000 [13:37:32<34:02, 5.24s/it] 92%|█████████▏| 4611/5000 [13:37:37<33:50, 5.22s/it] 92%|█████████▏| 4612/5000 [13:37:42<33:48, 5.23s/it] 92%|█████████▏| 4613/5000 [13:37:47<33:43, 5.23s/it] 92%|█████████▏| 4614/5000 [13:37:53<33:37, 5.23s/it] 92%|█████████▏| 4615/5000 [13:37:58<33:38, 5.24s/it] 92%|█████████▏| 4616/5000 [13:38:03<33:20, 5.21s/it] 92%|█████████▏| 4617/5000 [13:38:09<35:23, 5.54s/it] 92%|█████████▏| 4618/5000 [13:38:15<34:43, 5.45s/it] 92%|█████████▏| 4619/5000 [13:38:20<34:12, 5.39s/it] 92%|█████████▏| 4620/5000 [13:38:25<33:48, 5.34s/it] 92%|█████████▏| 4621/5000 [13:38:30<33:33, 5.31s/it] 92%|█████████▏| 4622/5000 [13:38:36<33:09, 5.26s/it] 92%|█████████▏| 4623/5000 [13:38:41<32:55, 5.24s/it] 92%|█████████▏| 4624/5000 [13:38:46<32:46, 5.23s/it] 92%|█████████▎| 4625/5000 [13:38:51<32:37, 5.22s/it] 92%|█████████▎| 4625/5000 [13:38:51<32:37, 5.22s/it] 93%|█████████▎| 4626/5000 [13:38:56<32:36, 5.23s/it] 93%|█████████▎| 4627/5000 [13:39:04<36:06, 5.81s/it] 93%|█████████▎| 4628/5000 [13:39:09<34:45, 5.61s/it] 93%|█████████▎| 4629/5000 [13:39:14<34:01, 5.50s/it] 93%|█████████▎| 4630/5000 [13:39:19<33:29, 5.43s/it] 93%|█████████▎| 4631/5000 [13:39:24<33:04, 5.38s/it] 93%|█████████▎| 4632/5000 [13:39:32<36:21, 5.93s/it] 93%|█████████▎| 4633/5000 [13:39:37<35:03, 5.73s/it] 93%|█████████▎| 4634/5000 [13:39:42<34:23, 5.64s/it] 93%|█████████▎| 4635/5000 [13:39:48<33:38, 5.53s/it] 93%|█████████▎| 4636/5000 [13:39:55<36:15, 5.98s/it] 93%|█████████▎| 4637/5000 [13:40:00<34:39, 5.73s/it] 93%|█████████▎| 4638/5000 [13:40:05<33:40, 5.58s/it] 93%|█████████▎| 4639/5000 [13:40:10<33:04, 5.50s/it] 93%|█████████▎| 4640/5000 [13:40:15<32:19, 5.39s/it] 93%|█████████▎| 4641/5000 [13:40:21<32:03, 5.36s/it] 93%|█████████▎| 4642/5000 [13:40:26<31:36, 5.30s/it] 93%|█████████▎| 4643/5000 [13:40:32<33:47, 5.68s/it] 93%|█████████▎| 4644/5000 [13:40:38<32:51, 5.54s/it] 93%|█████████▎| 4645/5000 [13:40:43<32:20, 5.47s/it] 93%|█████████▎| 4646/5000 [13:40:50<35:09, 5.96s/it] 93%|█████████▎| 4647/5000 [13:40:55<33:45, 5.74s/it] 93%|█████████▎| 4648/5000 [13:41:01<32:41, 5.57s/it] 93%|█████████▎| 4649/5000 [13:41:06<32:01, 5.47s/it] 93%|█████████▎| 4650/5000 [13:41:11<31:35, 5.42s/it] 93%|█████████▎| 4650/5000 [13:41:11<31:35, 5.42s/it] 93%|█████████▎| 4651/5000 [13:41:16<31:04, 5.34s/it] 93%|█████████▎| 4652/5000 [13:41:25<36:30, 6.29s/it] 93%|█████████▎| 4653/5000 [13:41:30<34:21, 5.94s/it] 93%|█████████▎| 4654/5000 [13:41:35<33:08, 5.75s/it] 93%|█████████▎| 4655/5000 [13:41:40<32:20, 5.62s/it] 93%|█████████▎| 4656/5000 [13:41:47<33:28, 5.84s/it] 93%|█████████▎| 4657/5000 [13:41:52<32:32, 5.69s/it] 93%|█████████▎| 4658/5000 [13:41:58<31:52, 5.59s/it] 93%|█████████▎| 4659/5000 [13:42:03<31:31, 5.55s/it] 93%|█████████▎| 4660/5000 [13:42:08<30:47, 5.43s/it] 93%|█████████▎| 4661/5000 [13:42:13<30:28, 5.39s/it] 93%|█████████▎| 4662/5000 [13:42:20<32:34, 5.78s/it] 93%|█████████▎| 4663/5000 [13:42:25<31:28, 5.60s/it] 93%|█████████▎| 4664/5000 [13:42:31<30:45, 5.49s/it] 93%|█████████▎| 4665/5000 [13:42:36<30:12, 5.41s/it] 93%|█████████▎| 4666/5000 [13:42:41<29:56, 5.38s/it] 93%|█████████▎| 4667/5000 [13:42:46<29:33, 5.33s/it] 93%|█████████▎| 4668/5000 [13:42:51<29:10, 5.27s/it] 93%|█████████▎| 4669/5000 [13:42:57<29:06, 5.28s/it] 93%|█████████▎| 4670/5000 [13:43:02<29:07, 5.30s/it] 93%|█████████▎| 4671/5000 [13:43:08<29:39, 5.41s/it] 93%|█████████▎| 4672/5000 [13:43:13<29:20, 5.37s/it] 93%|█████████▎| 4673/5000 [13:43:19<30:40, 5.63s/it] 93%|█████████▎| 4674/5000 [13:43:24<29:55, 5.51s/it] 94%|█████████▎| 4675/5000 [13:43:30<29:27, 5.44s/it] 94%|█████████▎| 4675/5000 [13:43:30<29:27, 5.44s/it] 94%|█████████▎| 4676/5000 [13:43:35<29:00, 5.37s/it] 94%|█████████▎| 4677/5000 [13:43:40<28:39, 5.32s/it] 94%|█████████▎| 4678/5000 [13:43:45<28:30, 5.31s/it] 94%|█████████▎| 4679/5000 [13:43:51<28:15, 5.28s/it] 94%|█████████▎| 4680/5000 [13:43:56<28:09, 5.28s/it] 94%|█████████▎| 4681/5000 [13:44:01<27:54, 5.25s/it] 94%|█████████▎| 4682/5000 [13:44:06<27:47, 5.24s/it] 94%|█████████▎| 4683/5000 [13:44:12<28:22, 5.37s/it] 94%|█████████▎| 4684/5000 [13:44:20<32:25, 6.16s/it] 94%|█████████▎| 4685/5000 [13:44:25<30:52, 5.88s/it] 94%|█████████▎| 4686/5000 [13:44:30<29:48, 5.70s/it] 94%|█████████▎| 4687/5000 [13:44:36<28:54, 5.54s/it] 94%|█████████▍| 4688/5000 [13:44:41<28:25, 5.47s/it] 94%|█████████▍| 4689/5000 [13:44:46<27:58, 5.40s/it] 94%|█████████▍| 4690/5000 [13:44:52<29:16, 5.67s/it] 94%|█████████▍| 4691/5000 [13:44:58<29:22, 5.71s/it] 94%|█████████▍| 4692/5000 [13:45:04<28:38, 5.58s/it] 94%|█████████▍| 4693/5000 [13:45:10<29:14, 5.72s/it] 94%|█████████▍| 4694/5000 [13:45:15<28:25, 5.57s/it] 94%|█████████▍| 4695/5000 [13:45:20<28:02, 5.52s/it] 94%|█████████▍| 4696/5000 [13:45:25<27:33, 5.44s/it] 94%|█████████▍| 4697/5000 [13:45:31<27:10, 5.38s/it] 94%|█████████▍| 4698/5000 [13:45:36<26:57, 5.36s/it] 94%|█████████▍| 4699/5000 [13:45:41<26:38, 5.31s/it] 94%|█████████▍| 4700/5000 [13:45:46<26:18, 5.26s/it] 94%|█████████▍| 4700/5000 [13:45:46<26:18, 5.26s/it] 94%|█████████▍| 4701/5000 [13:45:52<26:04, 5.23s/it] 94%|█████████▍| 4702/5000 [13:45:58<27:48, 5.60s/it] 94%|█████████▍| 4703/5000 [13:46:03<27:20, 5.52s/it] 94%|█████████▍| 4704/5000 [13:46:09<27:07, 5.50s/it] 94%|█████████▍| 4705/5000 [13:46:14<26:34, 5.40s/it] 94%|█████████▍| 4706/5000 [13:46:20<27:26, 5.60s/it] 94%|█████████▍| 4707/5000 [13:46:28<30:14, 6.19s/it] 94%|█████████▍| 4708/5000 [13:46:33<29:28, 6.06s/it] 94%|█████████▍| 4709/5000 [13:46:38<28:02, 5.78s/it] 94%|█████████▍| 4710/5000 [13:46:44<27:09, 5.62s/it] 94%|█████████▍| 4711/5000 [13:46:49<26:21, 5.47s/it] 94%|█████████▍| 4712/5000 [13:46:55<27:07, 5.65s/it] 94%|█████████▍| 4713/5000 [13:47:01<27:09, 5.68s/it] 94%|█████████▍| 4714/5000 [13:47:07<27:20, 5.74s/it] 94%|█████████▍| 4715/5000 [13:47:12<26:29, 5.58s/it] 94%|█████████▍| 4716/5000 [13:47:17<25:55, 5.48s/it] 94%|█████████▍| 4717/5000 [13:47:22<25:24, 5.39s/it] 94%|█████████▍| 4718/5000 [13:47:27<25:09, 5.35s/it] 94%|█████████▍| 4719/5000 [13:47:35<28:15, 6.03s/it] 94%|█████████▍| 4720/5000 [13:47:40<27:04, 5.80s/it] 94%|█████████▍| 4721/5000 [13:47:47<28:15, 6.08s/it] 94%|█████████▍| 4722/5000 [13:47:53<27:46, 6.00s/it] 94%|█████████▍| 4723/5000 [13:47:58<26:35, 5.76s/it] 94%|█████████▍| 4724/5000 [13:48:03<25:46, 5.60s/it] 94%|█████████▍| 4725/5000 [13:48:08<25:03, 5.47s/it] 94%|█████████▍| 4725/5000 [13:48:08<25:03, 5.47s/it] 95%|█████████▍| 4726/5000 [13:48:14<24:41, 5.41s/it] 95%|█████████▍| 4727/5000 [13:48:19<24:23, 5.36s/it] 95%|█████████▍| 4728/5000 [13:48:24<24:05, 5.32s/it] 95%|█████████▍| 4729/5000 [13:48:29<23:46, 5.27s/it] 95%|█████████▍| 4730/5000 [13:48:35<23:37, 5.25s/it] 95%|█████████▍| 4731/5000 [13:48:40<23:33, 5.25s/it] 95%|█████████▍| 4732/5000 [13:48:45<23:27, 5.25s/it] 95%|█████████▍| 4733/5000 [13:48:50<23:23, 5.26s/it] 95%|█████████▍| 4734/5000 [13:48:56<23:19, 5.26s/it] 95%|█████████▍| 4735/5000 [13:49:01<23:11, 5.25s/it] 95%|█████████▍| 4736/5000 [13:49:06<22:56, 5.21s/it] 95%|█████████▍| 4737/5000 [13:49:12<23:33, 5.37s/it] 95%|█████████▍| 4738/5000 [13:49:18<24:42, 5.66s/it] 95%|█████████▍| 4739/5000 [13:49:23<24:05, 5.54s/it] 95%|█████████▍| 4740/5000 [13:49:29<23:37, 5.45s/it] 95%|█████████▍| 4741/5000 [13:49:34<23:26, 5.43s/it] 95%|█████████▍| 4742/5000 [13:49:39<23:05, 5.37s/it] 95%|█████████▍| 4743/5000 [13:49:44<22:44, 5.31s/it] 95%|█████████▍| 4744/5000 [13:49:49<22:30, 5.28s/it] 95%|█████████▍| 4745/5000 [13:49:55<22:13, 5.23s/it] 95%|█████████▍| 4746/5000 [13:50:00<22:07, 5.23s/it] 95%|█████████▍| 4747/5000 [13:50:05<22:04, 5.23s/it] 95%|█████████▍| 4748/5000 [13:50:10<21:57, 5.23s/it] 95%|█████████▍| 4749/5000 [13:50:16<22:36, 5.40s/it] 95%|█████████▌| 4750/5000 [13:50:21<22:13, 5.34s/it] 95%|█████████▌| 4750/5000 [13:50:21<22:13, 5.34s/it] 95%|█████████▌| 4751/5000 [13:50:27<22:25, 5.41s/it] 95%|█████████▌| 4752/5000 [13:50:33<22:39, 5.48s/it] 95%|█████████▌| 4753/5000 [13:50:38<22:12, 5.39s/it] 95%|█████████▌| 4754/5000 [13:50:43<21:54, 5.35s/it] 95%|█████████▌| 4755/5000 [13:50:50<24:30, 6.00s/it] 95%|█████████▌| 4756/5000 [13:50:56<23:18, 5.73s/it] 95%|█████████▌| 4757/5000 [13:51:01<22:29, 5.55s/it] 95%|█████████▌| 4758/5000 [13:51:06<21:55, 5.44s/it] 95%|█████████▌| 4759/5000 [13:51:12<22:10, 5.52s/it] 95%|█████████▌| 4760/5000 [13:51:17<21:41, 5.42s/it] 95%|█████████▌| 4761/5000 [13:51:25<25:23, 6.37s/it] 95%|█████████▌| 4762/5000 [13:51:30<23:43, 5.98s/it] 95%|█████████▌| 4763/5000 [13:51:36<22:33, 5.71s/it] 95%|█████████▌| 4764/5000 [13:51:41<21:44, 5.53s/it] 95%|█████████▌| 4765/5000 [13:51:46<21:08, 5.40s/it] 95%|█████████▌| 4766/5000 [13:51:51<20:56, 5.37s/it] 95%|█████████▌| 4767/5000 [13:51:56<20:33, 5.29s/it] 95%|█████████▌| 4768/5000 [13:52:01<20:16, 5.24s/it] 95%|█████████▌| 4769/5000 [13:52:08<21:30, 5.59s/it] 95%|█████████▌| 4770/5000 [13:52:13<20:52, 5.44s/it] 95%|█████████▌| 4771/5000 [13:52:18<20:22, 5.34s/it] 95%|█████████▌| 4772/5000 [13:52:23<20:00, 5.27s/it] 95%|█████████▌| 4773/5000 [13:52:28<19:44, 5.22s/it] 95%|█████████▌| 4774/5000 [13:52:33<19:34, 5.20s/it] 96%|█████████▌| 4775/5000 [13:52:38<19:24, 5.17s/it] 96%|█████████▌| 4775/5000 [13:52:38<19:24, 5.17s/it] 96%|█████████▌| 4776/5000 [13:52:43<19:15, 5.16s/it] 96%|█████████▌| 4777/5000 [13:52:49<19:08, 5.15s/it] 96%|█████████▌| 4778/5000 [13:52:55<20:14, 5.47s/it] 96%|█████████▌| 4779/5000 [13:53:01<20:59, 5.70s/it] 96%|█████████▌| 4780/5000 [13:53:06<20:14, 5.52s/it] 96%|█████████▌| 4781/5000 [13:53:11<19:41, 5.40s/it] 96%|█████████▌| 4782/5000 [13:53:16<19:18, 5.32s/it] 96%|█████████▌| 4783/5000 [13:53:22<19:01, 5.26s/it] 96%|█████████▌| 4784/5000 [13:53:27<18:47, 5.22s/it] 96%|█████████▌| 4785/5000 [13:53:33<19:25, 5.42s/it] 96%|█████████▌| 4786/5000 [13:53:38<19:13, 5.39s/it] 96%|█████████▌| 4787/5000 [13:53:43<19:06, 5.38s/it] 96%|█████████▌| 4788/5000 [13:53:48<18:51, 5.34s/it] 96%|█████████▌| 4789/5000 [13:53:54<19:27, 5.54s/it] 96%|█████████▌| 4790/5000 [13:54:00<19:09, 5.47s/it] 96%|█████████▌| 4791/5000 [13:54:08<21:28, 6.17s/it] 96%|█████████▌| 4792/5000 [13:54:13<20:24, 5.89s/it] 96%|█████████▌| 4793/5000 [13:54:18<19:39, 5.70s/it] 96%|█████████▌| 4794/5000 [13:54:23<19:06, 5.56s/it] 96%|█████████▌| 4795/5000 [13:54:29<18:43, 5.48s/it] 96%|█████████▌| 4796/5000 [13:54:34<18:20, 5.40s/it] 96%|█████████▌| 4797/5000 [13:54:39<18:16, 5.40s/it] 96%|█████████▌| 4798/5000 [13:54:45<18:10, 5.40s/it] 96%|█████████▌| 4799/5000 [13:54:50<18:07, 5.41s/it] 96%|█████████▌| 4800/5000 [13:54:56<18:18, 5.49s/it] {'loss': 0.0878, 'learning_rate': 6.204166666666666e-07, 'epoch': 1.16} {'loss': 0.0965, 'learning_rate': 6.152083333333333e-07, 'epoch': 1.17} {'loss': 0.1008, 'learning_rate': 6.1e-07, 'epoch': 1.17} {'loss': 0.1047, 'learning_rate': 6.047916666666666e-07, 'epoch': 1.18} {'loss': 0.0967, 'learning_rate': 5.995833333333333e-07, 'epoch': 1.18} {'loss': 0.0803, 'learning_rate': 5.943749999999999e-07, 'epoch': 1.19} {'loss': 0.0678, 'learning_rate': 5.891666666666666e-07, 'epoch': 1.19} {'loss': 0.0952, 'learning_rate': 5.839583333333333e-07, 'epoch': 1.2} {'loss': 0.1302, 'learning_rate': 5.7875e-07, 'epoch': 1.2} {'loss': 0.1166, 'learning_rate': 5.735416666666665e-07, 'epoch': 1.21} {'loss': 0.0873, 'learning_rate': 5.683333333333333e-07, 'epoch': 1.21} {'loss': 0.0937, 'learning_rate': 5.63125e-07, 'epoch': 1.22} {'loss': 0.1203, 'learning_rate': 5.579166666666666e-07, 'epoch': 1.22} {'loss': 0.1051, 'learning_rate': 5.527083333333334e-07, 'epoch': 1.23} {'loss': 0.0941, 'learning_rate': 5.474999999999999e-07, 'epoch': 1.23} {'loss': 0.0877, 'learning_rate': 5.422916666666666e-07, 'epoch': 1.24} {'loss': 0.0976, 'learning_rate': 5.370833333333333e-07, 'epoch': 2.0} {'loss': 0.0862, 'learning_rate': 5.31875e-07, 'epoch': 2.01} {'loss': 0.0883, 'learning_rate': 5.266666666666666e-07, 'epoch': 2.01} {'loss': 0.0771, 'learning_rate': 5.214583333333334e-07, 'epoch': 2.02} {'loss': 0.0763, 'learning_rate': 5.162499999999999e-07, 'epoch': 2.02} {'loss': 0.103, 'learning_rate': 5.110416666666666e-07, 'epoch': 2.03} {'loss': 0.1053, 'learning_rate': 5.058333333333333e-07, 'epoch': 2.03} {'loss': 0.087, 'learning_rate': 5.00625e-07, 'epoch': 2.04} {'loss': 0.0732, 'learning_rate': 4.954166666666667e-07, 'epoch': 2.04} {'loss': 0.0952, 'learning_rate': 4.902083333333333e-07, 'epoch': 2.05} {'loss': 0.0916, 'learning_rate': 4.85e-07, 'epoch': 2.05} {'loss': 0.0765, 'learning_rate': 4.797916666666667e-07, 'epoch': 2.06} {'loss': 0.0691, 'learning_rate': 4.745833333333333e-07, 'epoch': 2.06} {'loss': 0.0687, 'learning_rate': 4.6937499999999995e-07, 'epoch': 2.07} {'loss': 0.0775, 'learning_rate': 4.6416666666666663e-07, 'epoch': 2.07} {'loss': 0.076, 'learning_rate': 4.589583333333333e-07, 'epoch': 2.08} {'loss': 0.0789, 'learning_rate': 4.5374999999999994e-07, 'epoch': 2.08} {'loss': 0.0704, 'learning_rate': 4.485416666666667e-07, 'epoch': 2.09} {'loss': 0.0858, 'learning_rate': 4.4333333333333336e-07, 'epoch': 2.09} {'loss': 0.0817, 'learning_rate': 4.38125e-07, 'epoch': 2.1} {'loss': 0.0758, 'learning_rate': 4.3291666666666667e-07, 'epoch': 2.1} {'loss': 0.075, 'learning_rate': 4.2770833333333335e-07, 'epoch': 2.11} {'loss': 0.0634, 'learning_rate': 4.225e-07, 'epoch': 2.11} {'loss': 0.0732, 'learning_rate': 4.1729166666666666e-07, 'epoch': 2.12} {'eval_loss': 0.17432214319705963, 'eval_wer': 10.326829638627391, 'eval_runtime': 5737.7212, 'eval_samples_per_second': 1.768, 'eval_steps_per_second': 0.11, 'epoch': 2.12} {'loss': 0.1099, 'learning_rate': 4.1208333333333334e-07, 'epoch': 2.12} {'loss': 0.1393, 'learning_rate': 4.0687499999999997e-07, 'epoch': 2.13} {'loss': 0.1217, 'learning_rate': 4.0166666666666665e-07, 'epoch': 2.13} {'loss': 0.1038, 'learning_rate': 3.9645833333333333e-07, 'epoch': 2.14} {'loss': 0.0842, 'learning_rate': 3.9124999999999996e-07, 'epoch': 2.14} {'loss': 0.1279, 'learning_rate': 3.8604166666666664e-07, 'epoch': 2.15} {'loss': 0.1069, 'learning_rate': 3.808333333333333e-07, 'epoch': 2.15} {'loss': 0.1074, 'learning_rate': 3.7562499999999995e-07, 'epoch': 2.16} {'loss': 0.0849, 'learning_rate': 3.7041666666666663e-07, 'epoch': 2.16} {'loss': 0.0859, 'learning_rate': 3.6520833333333337e-07, 'epoch': 2.17} {'loss': 0.0855, 'learning_rate': 3.6e-07, 'epoch': 2.17} {'loss': 0.0732, 'learning_rate': 3.547916666666667e-07, 'epoch': 2.18} {'loss': 0.0761, 'learning_rate': 3.4958333333333336e-07, 'epoch': 2.18} {'loss': 0.0837, 'learning_rate': 3.44375e-07, 'epoch': 2.19} {'loss': 0.0935, 'learning_rate': 3.3916666666666667e-07, 'epoch': 2.19} {'loss': 0.0782, 'learning_rate': 3.3395833333333335e-07, 'epoch': 2.2} {'loss': 0.1018, 'learning_rate': 3.2875e-07, 'epoch': 2.2} {'loss': 0.0751, 'learning_rate': 3.2354166666666666e-07, 'epoch': 2.21} {'loss': 0.0731, 'learning_rate': 3.1833333333333334e-07, 'epoch': 2.21} {'loss': 0.0757, 'learning_rate': 3.1312499999999997e-07, 'epoch': 2.22} {'loss': 0.0947, 'learning_rate': 3.0791666666666665e-07, 'epoch': 2.22} {'loss': 0.1054, 'learning_rate': 3.0270833333333333e-07, 'epoch': 2.23} {'loss': 0.0858, 'learning_rate': 2.9749999999999996e-07, 'epoch': 2.23} {'loss': 0.0989, 'learning_rate': 2.9229166666666664e-07, 'epoch': 2.24} {'loss': 0.0981, 'learning_rate': 2.870833333333333e-07, 'epoch': 3.0} {'loss': 0.0669, 'learning_rate': 2.8187499999999995e-07, 'epoch': 3.01} {'loss': 0.0686, 'learning_rate': 2.766666666666667e-07, 'epoch': 3.01} {'loss': 0.0884, 'learning_rate': 2.7145833333333336e-07, 'epoch': 3.02} {'loss': 0.0892, 'learning_rate': 2.6625e-07, 'epoch': 3.02} {'loss': 0.0795, 'learning_rate': 2.6104166666666667e-07, 'epoch': 3.03} {'loss': 0.0735, 'learning_rate': 2.5583333333333335e-07, 'epoch': 3.03} {'loss': 0.0793, 'learning_rate': 2.50625e-07, 'epoch': 3.04} {'loss': 0.0819, 'learning_rate': 2.4541666666666666e-07, 'epoch': 3.04} {'loss': 0.0796, 'learning_rate': 2.402083333333333e-07, 'epoch': 3.05} {'loss': 0.069, 'learning_rate': 2.3499999999999997e-07, 'epoch': 3.05} {'loss': 0.0712, 'learning_rate': 2.2979166666666665e-07, 'epoch': 3.06} {'loss': 0.0596, 'learning_rate': 2.245833333333333e-07, 'epoch': 3.06} {'loss': 0.0682, 'learning_rate': 2.1937499999999996e-07, 'epoch': 3.07} {'loss': 0.069, 'learning_rate': 2.1416666666666667e-07, 'epoch': 3.07} {'loss': 0.0742, 'learning_rate': 2.0895833333333333e-07, 'epoch': 3.08} {'eval_loss': 0.17151764035224915, 'eval_wer': 10.226237473428485, 'eval_runtime': 5776.2747, 'eval_samples_per_second': 1.756, 'eval_steps_per_second': 0.11, 'epoch': 3.08} {'loss': 0.0787, 'learning_rate': 2.0374999999999998e-07, 'epoch': 3.08} {'loss': 0.0712, 'learning_rate': 1.9854166666666666e-07, 'epoch': 3.09} {'loss': 0.0688, 'learning_rate': 1.9333333333333332e-07, 'epoch': 3.09} {'loss': 0.055, 'learning_rate': 1.8812499999999997e-07, 'epoch': 3.1} {'loss': 0.0509, 'learning_rate': 1.8291666666666665e-07, 'epoch': 3.1} {'loss': 0.0513, 'learning_rate': 1.777083333333333e-07, 'epoch': 3.11} {'loss': 0.0577, 'learning_rate': 1.725e-07, 'epoch': 3.11} {'loss': 0.0767, 'learning_rate': 1.675e-07, 'epoch': 3.12} {'loss': 0.0767, 'learning_rate': 1.6229166666666667e-07, 'epoch': 3.12} {'loss': 0.0864, 'learning_rate': 1.5708333333333332e-07, 'epoch': 3.13} {'loss': 0.0706, 'learning_rate': 1.51875e-07, 'epoch': 3.13} {'loss': 0.0754, 'learning_rate': 1.4666666666666666e-07, 'epoch': 3.14} {'loss': 0.0863, 'learning_rate': 1.414583333333333e-07, 'epoch': 3.14} {'loss': 0.095, 'learning_rate': 1.3625e-07, 'epoch': 3.15} {'loss': 0.0817, 'learning_rate': 1.3104166666666667e-07, 'epoch': 3.15} {'loss': 0.1008, 'learning_rate': 1.2583333333333333e-07, 'epoch': 3.16} {'loss': 0.1203, 'learning_rate': 1.2062499999999998e-07, 'epoch': 3.16} {'loss': 0.1138, 'learning_rate': 1.1541666666666666e-07, 'epoch': 3.17} {'loss': 0.0935, 'learning_rate': 1.1020833333333333e-07, 'epoch': 3.17} {'loss': 0.0601, 'learning_rate': 1.0499999999999999e-07, 'epoch': 3.18} {'loss': 0.0678, 'learning_rate': 9.979166666666667e-08, 'epoch': 3.18} {'loss': 0.0643, 'learning_rate': 9.458333333333334e-08, 'epoch': 3.19} {'loss': 0.0856, 'learning_rate': 8.937499999999999e-08, 'epoch': 3.19} {'loss': 0.067, 'learning_rate': 8.416666666666666e-08, 'epoch': 3.2} {'loss': 0.0529, 'learning_rate': 7.895833333333334e-08, 'epoch': 3.2} {'loss': 0.0706, 'learning_rate': 7.375e-08, 'epoch': 3.21} {'loss': 0.0655, 'learning_rate': 6.854166666666666e-08, 'epoch': 3.21} {'loss': 0.0677, 'learning_rate': 6.333333333333333e-08, 'epoch': 3.22} {'loss': 0.0726, 'learning_rate': 5.8125e-08, 'epoch': 3.22} {'loss': 0.0623, 'learning_rate': 5.291666666666667e-08, 'epoch': 3.23} {'loss': 0.0785, 'learning_rate': 4.770833333333333e-08, 'epoch': 3.23} 96%|█████████▌| 4800/5000 [13:54:56<18:18, 5.49s/it] 96%|█████████▌| 4801/5000 [13:55:02<18:35, 5.61s/it] 96%|█████████▌| 4802/5000 [13:55:07<18:11, 5.51s/it] 96%|█████████▌| 4803/5000 [13:55:12<17:58, 5.48s/it] 96%|█████████▌| 4804/5000 [13:55:18<17:57, 5.50s/it] 96%|█████████▌| 4805/5000 [13:55:23<17:34, 5.41s/it] 96%|█████████▌| 4806/5000 [13:55:31<19:33, 6.05s/it] 96%|█████████▌| 4807/5000 [13:55:36<18:55, 5.88s/it] 96%|█████████▌| 4808/5000 [13:55:41<18:20, 5.73s/it] 96%|█████████▌| 4809/5000 [13:55:47<17:57, 5.64s/it] 96%|█████████▌| 4810/5000 [13:55:52<17:31, 5.53s/it] 96%|█████████▌| 4811/5000 [13:55:57<17:13, 5.47s/it] 96%|█████████▌| 4812/5000 [13:56:03<17:02, 5.44s/it] 96%|█████████▋| 4813/5000 [13:56:08<16:52, 5.42s/it] 96%|█████████▋| 4814/5000 [13:56:14<16:46, 5.41s/it] 96%|█████████▋| 4815/5000 [13:56:19<16:41, 5.41s/it] 96%|█████████▋| 4816/5000 [13:56:24<16:24, 5.35s/it] 96%|█████████▋| 4817/5000 [13:56:28<14:39, 4.80s/it] 96%|█████████▋| 4818/5000 [13:56:31<13:24, 4.42s/it] 96%|█████████▋| 4819/5000 [13:56:35<12:32, 4.16s/it] 96%|█████████▋| 4820/5000 [13:56:38<11:57, 3.98s/it] 96%|█████████▋| 4821/5000 [13:56:42<11:30, 3.86s/it] 96%|█████████▋| 4822/5000 [13:56:46<11:11, 3.77s/it] 96%|█████████▋| 4823/5000 [13:56:49<10:55, 3.71s/it] 96%|█████████▋| 4824/5000 [13:56:53<10:43, 3.65s/it] 96%|█████████▋| 4825/5000 [13:56:56<10:30, 3.60s/it] 96%|█████████▋| 4825/5000 [13:56:56<10:30, 3.60s/it] 97%|█████████▋| 4826/5000 [13:57:00<10:24, 3.59s/it] 97%|█████████▋| 4827/5000 [13:57:03<10:18, 3.57s/it] 97%|█████████▋| 4828/5000 [13:57:07<10:14, 3.57s/it] 97%|█████████▋| 4829/5000 [13:57:10<10:09, 3.56s/it] 97%|█████████▋| 4830/5000 [13:57:14<10:05, 3.56s/it] 97%|█████████▋| 4831/5000 [13:57:17<09:58, 3.54s/it] 97%|█████████▋| 4832/5000 [13:57:19<08:17, 2.96s/it] 97%|█████████▋| 4833/5000 [13:57:55<35:30, 12.76s/it] 97%|█████████▋| 4834/5000 [13:58:01<29:40, 10.72s/it] 97%|█████████▋| 4835/5000 [13:58:07<25:36, 9.31s/it] 97%|█████████▋| 4836/5000 [13:58:12<22:07, 8.10s/it] 97%|█████████▋| 4837/5000 [13:58:17<19:40, 7.24s/it] 97%|█████████▋| 4838/5000 [13:58:22<17:57, 6.65s/it] 97%|█████████▋| 4839/5000 [13:58:28<16:40, 6.22s/it] 97%|█████████▋| 4840/5000 [13:58:33<15:45, 5.91s/it] 97%|█████████▋| 4841/5000 [13:58:38<15:08, 5.72s/it] 97%|█████████▋| 4842/5000 [13:58:43<14:41, 5.58s/it] 97%|█████████▋| 4843/5000 [13:58:48<14:12, 5.43s/it] 97%|█████████▋| 4844/5000 [13:58:55<14:45, 5.68s/it] 97%|█████████▋| 4845/5000 [13:59:00<14:12, 5.50s/it] 97%|█████████▋| 4846/5000 [13:59:05<13:46, 5.37s/it] 97%|█████████▋| 4847/5000 [13:59:10<13:32, 5.31s/it] 97%|█████████▋| 4848/5000 [13:59:15<13:18, 5.26s/it] 97%|█████████▋| 4849/5000 [13:59:20<13:13, 5.26s/it] 97%|█████████▋| 4850/5000 [13:59:25<13:02, 5.22s/it] 97%|█████████▋| 4850/5000 [13:59:25<13:02, 5.22s/it] 97%|█████████▋| 4851/5000 [13:59:31<12:56, 5.21s/it] 97%|█████████▋| 4852/5000 [13:59:36<12:56, 5.25s/it] 97%|█████████▋| 4853/5000 [13:59:42<13:33, 5.54s/it] 97%|█████████▋| 4854/5000 [13:59:47<13:12, 5.43s/it] 97%|█████████▋| 4855/5000 [13:59:52<12:49, 5.31s/it] 97%|█████████▋| 4856/5000 [13:59:58<12:39, 5.27s/it] 97%|█████████▋| 4857/5000 [14:00:03<12:30, 5.25s/it] 97%|█████████▋| 4858/5000 [14:00:08<12:23, 5.24s/it] 97%|█████████▋| 4859/5000 [14:00:13<12:15, 5.21s/it] 97%|█████████▋| 4860/5000 [14:00:21<13:52, 5.95s/it] 97%|█████████▋| 4861/5000 [14:00:26<13:17, 5.73s/it] 97%|█████████▋| 4862/5000 [14:00:31<12:47, 5.56s/it] 97%|█████████▋| 4863/5000 [14:00:36<12:25, 5.44s/it] 97%|█████████▋| 4864/5000 [14:00:42<12:11, 5.38s/it] 97%|█████████▋| 4865/5000 [14:00:49<13:43, 6.10s/it] 97%|█████████▋| 4866/5000 [14:00:55<12:59, 5.81s/it] 97%|█████████▋| 4867/5000 [14:01:00<12:34, 5.68s/it] 97%|█████████▋| 4868/5000 [14:01:05<12:15, 5.57s/it] 97%|█████████▋| 4869/5000 [14:01:10<11:58, 5.48s/it] 97%|█████████▋| 4870/5000 [14:01:16<11:41, 5.40s/it] 97%|█████████▋| 4871/5000 [14:01:22<12:12, 5.67s/it] 97%|█████████▋| 4872/5000 [14:01:31<13:58, 6.55s/it] 97%|█████████▋| 4873/5000 [14:01:36<12:57, 6.12s/it] 97%|█████████▋| 4874/5000 [14:01:41<12:17, 5.85s/it] 98%|█████████▊| 4875/5000 [14:01:46<11:46, 5.66s/it] 98%|█████████▊| 4875/5000 [14:01:46<11:46, 5.66s/it] 98%|█████████▊| 4876/5000 [14:01:54<12:50, 6.21s/it] 98%|█████████▊| 4877/5000 [14:01:59<12:10, 5.94s/it] 98%|█████████▊| 4878/5000 [14:02:04<11:35, 5.70s/it] 98%|█████████▊| 4879/5000 [14:02:09<11:15, 5.58s/it] 98%|█████████▊| 4880/5000 [14:02:15<10:57, 5.48s/it] 98%|█████████▊| 4881/5000 [14:02:20<10:44, 5.42s/it] 98%|█████████▊| 4882/5000 [14:02:25<10:37, 5.40s/it] 98%|█████████▊| 4883/5000 [14:02:31<10:36, 5.44s/it] 98%|█████████▊| 4884/5000 [14:02:36<10:20, 5.35s/it] 98%|█████████▊| 4885/5000 [14:02:41<10:07, 5.28s/it] 98%|█████████▊| 4886/5000 [14:02:47<10:09, 5.35s/it] 98%|█████████▊| 4887/5000 [14:02:52<10:04, 5.35s/it] 98%|█████████▊| 4888/5000 [14:02:57<10:02, 5.38s/it] 98%|█████████▊| 4889/5000 [14:03:05<11:06, 6.00s/it] 98%|█████████▊| 4890/5000 [14:03:10<10:34, 5.77s/it] 98%|█████████▊| 4891/5000 [14:03:15<10:12, 5.62s/it] 98%|█████████▊| 4892/5000 [14:03:21<09:55, 5.52s/it] 98%|█████████▊| 4893/5000 [14:03:26<09:52, 5.54s/it] 98%|█████████▊| 4894/5000 [14:03:31<09:34, 5.42s/it] 98%|█████████▊| 4895/5000 [14:03:37<09:25, 5.39s/it] 98%|█████████▊| 4896/5000 [14:03:42<09:15, 5.34s/it] 98%|█████████▊| 4897/5000 [14:03:47<09:04, 5.28s/it] 98%|█████████▊| 4898/5000 [14:03:52<08:55, 5.25s/it] 98%|█████████▊| 4899/5000 [14:03:57<08:50, 5.26s/it] 98%|█████████▊| 4900/5000 [14:04:03<08:48, 5.29s/it] 98%|█████████▊| 4900/5000 [14:04:03<08:48, 5.29s/it] 98%|█████████▊| 4901/5000 [14:04:08<08:42, 5.28s/it] 98%|█████████▊| 4902/5000 [14:04:17<10:23, 6.37s/it] 98%|█████████▊| 4903/5000 [14:04:22<09:41, 5.99s/it] 98%|█████████▊| 4904/5000 [14:04:27<09:15, 5.78s/it] 98%|█████████▊| 4905/5000 [14:04:33<08:54, 5.63s/it] 98%|█████████▊| 4906/5000 [14:04:38<08:38, 5.51s/it] 98%|█████████▊| 4907/5000 [14:04:43<08:24, 5.43s/it] 98%|█████████▊| 4908/5000 [14:04:49<08:36, 5.61s/it] 98%|█████████▊| 4909/5000 [14:04:54<08:20, 5.50s/it] 98%|█████████▊| 4910/5000 [14:05:00<08:07, 5.42s/it] 98%|█████████▊| 4911/5000 [14:05:05<07:57, 5.37s/it] 98%|█████████▊| 4912/5000 [14:05:10<07:45, 5.29s/it] 98%|█████████▊| 4913/5000 [14:05:16<07:51, 5.42s/it] 98%|█████████▊| 4914/5000 [14:05:21<07:47, 5.43s/it] 98%|█████████▊| 4915/5000 [14:05:29<08:36, 6.07s/it] 98%|█████████▊| 4916/5000 [14:05:34<08:09, 5.82s/it] 98%|█████████▊| 4917/5000 [14:05:40<07:56, 5.74s/it] 98%|█████████▊| 4918/5000 [14:05:45<07:40, 5.61s/it] 98%|█████████▊| 4919/5000 [14:05:50<07:20, 5.44s/it] 98%|█████████▊| 4920/5000 [14:05:55<07:09, 5.37s/it] 98%|█████████▊| 4921/5000 [14:06:01<07:24, 5.62s/it] 98%|█████████▊| 4922/5000 [14:06:07<07:08, 5.49s/it] 98%|█████████▊| 4923/5000 [14:06:12<06:56, 5.41s/it] 98%|█████████▊| 4924/5000 [14:06:17<06:48, 5.37s/it] 98%|█████████▊| 4925/5000 [14:06:23<07:00, 5.61s/it] 98%|█████████▊| 4925/5000 [14:06:23<07:00, 5.61s/it] 99%|█████████▊| 4926/5000 [14:06:28<06:48, 5.53s/it] 99%|█████████▊| 4927/5000 [14:06:38<08:07, 6.68s/it] 99%|█████████▊| 4928/5000 [14:06:43<07:29, 6.24s/it] 99%|█████████▊| 4929/5000 [14:06:49<07:20, 6.21s/it] 99%|█████████▊| 4930/5000 [14:06:54<06:54, 5.93s/it] 99%|█████████▊| 4931/5000 [14:07:00<06:31, 5.67s/it] 99%|█████████▊| 4932/5000 [14:07:05<06:29, 5.73s/it] 99%|█████████▊| 4933/5000 [14:07:11<06:13, 5.57s/it] 99%|█████████▊| 4934/5000 [14:07:16<06:00, 5.47s/it] 99%|█████████▊| 4935/5000 [14:07:21<05:48, 5.36s/it] 99%|█████████▊| 4936/5000 [14:07:26<05:39, 5.31s/it] 99%|█████████▊| 4937/5000 [14:07:31<05:33, 5.29s/it] 99%|█████████▉| 4938/5000 [14:07:37<05:27, 5.28s/it] 99%|█████████▉| 4939/5000 [14:07:42<05:19, 5.24s/it] 99%|█████████▉| 4940/5000 [14:07:51<06:16, 6.28s/it] 99%|█████████▉| 4941/5000 [14:07:58<06:34, 6.68s/it] 99%|█████████▉| 4942/5000 [14:08:03<06:02, 6.25s/it] 99%|█████████▉| 4943/5000 [14:08:09<05:41, 5.99s/it] 99%|█████████▉| 4944/5000 [14:08:15<05:39, 6.05s/it] 99%|█████████▉| 4945/5000 [14:08:20<05:18, 5.80s/it] 99%|█████████▉| 4946/5000 [14:08:25<05:04, 5.63s/it] 99%|█████████▉| 4947/5000 [14:08:31<04:51, 5.51s/it] 99%|█████████▉| 4948/5000 [14:08:36<04:42, 5.44s/it] 99%|█████████▉| 4949/5000 [14:08:42<04:52, 5.73s/it] 99%|█████████▉| 4950/5000 [14:08:49<04:58, 5.96s/it] 99%|█████████▉| 4950/5000 [14:08:49<04:58, 5.96s/it] 99%|█████████▉| 4951/5000 [14:08:54<04:41, 5.74s/it] 99%|█████████▉| 4952/5000 [14:08:59<04:27, 5.58s/it] 99%|█████████▉| 4953/5000 [14:09:04<04:15, 5.44s/it] 99%|█████████▉| 4954/5000 [14:09:10<04:06, 5.36s/it] 99%|█████████▉| 4955/5000 [14:09:15<03:58, 5.31s/it] 99%|█████████▉| 4956/5000 [14:09:20<03:59, 5.44s/it] 99%|█████████▉| 4957/5000 [14:09:27<04:11, 5.86s/it] 99%|█████████▉| 4958/5000 [14:09:33<04:02, 5.78s/it] 99%|█████████▉| 4959/5000 [14:09:38<03:50, 5.61s/it] 99%|█████████▉| 4960/5000 [14:09:43<03:39, 5.49s/it] 99%|█████████▉| 4961/5000 [14:09:49<03:31, 5.41s/it] 99%|█████████▉| 4962/5000 [14:09:56<03:47, 6.00s/it] 99%|█████████▉| 4963/5000 [14:10:01<03:33, 5.76s/it] 99%|█████████▉| 4964/5000 [14:10:06<03:21, 5.60s/it] 99%|█████████▉| 4965/5000 [14:10:13<03:27, 5.93s/it] 99%|█████████▉| 4966/5000 [14:10:20<03:29, 6.15s/it] 99%|█████████▉| 4967/5000 [14:10:25<03:13, 5.88s/it] 99%|█████████▉| 4968/5000 [14:10:30<03:02, 5.72s/it] 99%|█████████▉| 4969/5000 [14:10:36<02:57, 5.74s/it] 99%|█████████▉| 4970/5000 [14:10:41<02:46, 5.56s/it] 99%|█████████▉| 4971/5000 [14:10:46<02:38, 5.46s/it] 99%|█████████▉| 4972/5000 [14:10:52<02:30, 5.39s/it] 99%|█████████▉| 4973/5000 [14:10:57<02:24, 5.36s/it] 99%|█████████▉| 4974/5000 [14:11:03<02:22, 5.50s/it] 100%|█████████▉| 4975/5000 [14:11:08<02:15, 5.42s/it] 100%|█████████▉| 4975/5000 [14:11:08<02:15, 5.42s/it] 100%|█████████▉| 4976/5000 [14:11:13<02:08, 5.37s/it] 100%|█████████▉| 4977/5000 [14:11:19<02:02, 5.34s/it] 100%|█████████▉| 4978/5000 [14:11:24<01:56, 5.31s/it] 100%|█████████▉| 4979/5000 [14:11:29<01:51, 5.30s/it] 100%|█████████▉| 4980/5000 [14:11:34<01:45, 5.27s/it] 100%|█████████▉| 4981/5000 [14:11:42<01:52, 5.92s/it] 100%|█████████▉| 4982/5000 [14:11:50<01:57, 6.52s/it] 100%|█████████▉| 4983/5000 [14:11:55<01:45, 6.21s/it] 100%|█████████▉| 4984/5000 [14:12:02<01:43, 6.48s/it] 100%|█████████▉| 4985/5000 [14:12:09<01:38, 6.54s/it] 100%|█████████▉| 4986/5000 [14:12:14<01:25, 6.13s/it] 100%|█████████▉| 4987/5000 [14:12:19<01:16, 5.87s/it] 100%|█████████▉| 4988/5000 [14:12:26<01:12, 6.06s/it] 100%|█████████▉| 4989/5000 [14:12:31<01:03, 5.82s/it] 100%|█████████▉| 4990/5000 [14:12:36<00:56, 5.66s/it] 100%|█████████▉| 4991/5000 [14:12:42<00:50, 5.62s/it] 100%|█████████▉| 4992/5000 [14:12:47<00:44, 5.51s/it] 100%|█████████▉| 4993/5000 [14:12:53<00:38, 5.47s/it] 100%|█████████▉| 4994/5000 [14:12:58<00:32, 5.40s/it] 100%|█████████▉| 4995/5000 [14:13:03<00:26, 5.35s/it] 100%|█████████▉| 4996/5000 [14:13:08<00:21, 5.35s/it] 100%|█████████▉| 4997/5000 [14:13:14<00:16, 5.46s/it] 100%|█████████▉| 4998/5000 [14:13:19<00:10, 5.36s/it] 100%|█████████▉| 4999/5000 [14:13:25<00:05, 5.33s/it] 100%|██████████| 5000/5000 [14:13:30<00:00, 5.33s/it] 100%|██████████| 5000/5000 [14:13:30<00:00, 5.33s/it][INFO|trainer.py:2956] 2022-12-13 03:48:58,419 >> ***** Running Evaluation ***** [INFO|trainer.py:2960] 2022-12-13 03:48:58,419 >> Num examples: Unknown [INFO|trainer.py:2961] 2022-12-13 03:48:58,419 >> Batch size = 16 [INFO|trainer_utils.py:689] 2022-12-13 03:49:13,959 >> The following columns in the evaluation set don't have a corresponding argument in `WhisperForConditionalGeneration.forward` and have been ignored: input_length. If input_length are not expected by `WhisperForConditionalGeneration.forward`, you can safely ignore this message. 100%|██████████| 5000/5000 [15:49:27<00:00, 5.33s/it][INFO|trainer.py:2701] 2022-12-13 05:24:55,797 >> Saving model checkpoint to ./checkpoint-5000 [INFO|configuration_utils.py:447] 2022-12-13 05:24:55,798 >> Configuration saved in ./checkpoint-5000/config.json [INFO|modeling_utils.py:1671] 2022-12-13 05:24:58,269 >> Model weights saved in ./checkpoint-5000/pytorch_model.bin [INFO|feature_extraction_utils.py:368] 2022-12-13 05:24:58,284 >> Feature extractor saved in ./checkpoint-5000/preprocessor_config.json [INFO|feature_extraction_utils.py:368] 2022-12-13 05:25:08,235 >> Feature extractor saved in ./preprocessor_config.json