Qwen-0.7B-en-sa-v1 / README.md

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	---
	tags:
	- sentence-transformers
	- sentence-similarity
	- feature-extraction
	- dense
	- generated_from_trainer
	- dataset_size:257886
	- loss:MultipleNegativesRankingLoss
	base_model: Qwen/Qwen3-Embedding-0.6B
	widget:
	- source_sentence: With another well-directed and well-aimed shaft shot by his bow
	drawn to its fullest stretch, he struck Vikarna on the soldier-joint as the latter
	neared him;
	sentences:
	- 'अल्बर्ट् मेयर् इत्यनेन इतस्ततः विकीरितैः हरितस्थानैः सह सूपर्-ब्लाक्-आधारितं
	नगरं विन्यासितम्, येन सेलुलर्-प्रतिवेशेषु तथा सञ्चारविभाजने महत्त्वं दत्तम्।

	'
	- सौहार्दै सर्वभूतेषु यः करोत्यतिमानुषः। सोऽद्य केशग्रहं श्रुत्वा पितुर्धक्ष्यति
	नो रणे॥
	- पूर्णायतविसृष्टेन सम्यक् प्रणिहितेन च। जत्रुदेशे समासाद्य विकर्णं समताडयत्॥
	- source_sentence: '"Let us summarize. In this tutorial, we learnt to:"'
	sentences:
	- लक्ष्मणस्यात्मनश्चैव रामस्तेनाकरोज्जटाः। दीर्घबाहुर्नरव्याघ्रो जटिलत्वमधारयत्॥
	तौ तदा चीरसम्पन्नौ जटामण्डलधारिणौ। अशोभेतामृषिसमौ भ्रातरौ रामलक्ष्मणौ॥
	- '"सङ्क्षेपेण, अस्मिन् अनुशिक्षणे वयं"'
	- 'भारते अनेके क्रीडाविश्वविद्यालयाः सन्ति, येषु तमिळुनाडु-शारीरिकशिक्षा तथा क्रीडा-विश्वविद्यालयः
	च प्रथमः आसीत्, तथा पञ्जाब्-क्रीडा-विश्वविद्यालयः, हरियाणा-क्रीडा-विश्वविद्यालयः
	च नवीनतमौ स्तः।

	'
	- source_sentence: 'As an assignment: Load silver chloride(AgCl) crystal structure
	and show its Miller planes.'
	sentences:
	- 'उ॒त्ता॒नाया॑मजनय॒न्सुषू॑तं॒ भुव॑द॒ग्निः पु॑रु॒पेशा॑सु॒ गर्भः॑ । शिरि॑णायां चिद॒क्तुना॒
	महो॑भि॒रप॑रीवृतो वसति॒ प्रचे॑ताः '
	- 'अत्र पाठनियोजनम् : सिल्वर् क्लोरैड् (AgCl) क्रिस्टल् स्ट्रक्चर् इतीदं लोड् कृत्वा
	तस्य मिल्लर् प्लेन्स् दर्शयन्तु ।'
	- 'भवान् एवं वदेत्, "अद्य भवान् बहुजनानां अभियोगान् प्राप्तवान् स्यात्" इति।

	'
	- source_sentence: Thereupon the chief of the Panchalas, the grandson of Shini, the
	son of Draupadi, the Provodrakas and Shikhandin, poured forth showers of arrows
	upon those huge elephants.
	sentences:
	- अन्तरिक्षे च वागुक्ता प्रतिमामानुषि किल। एवमेतन्नरपते धर्मेण तनया तव॥
	- ततः पाञ्चालशैनेयौ द्रौपदेयाः प्रभद्रकाः। शिखण्डी च महानागान् सिषिचुः शरवृष्टिभिः॥२७
	- 'यावत् प्रकरणं न्यायालये भवति तावत् तुकाराम् इत्यसौ पर्यटकेभ्यः ताजमहल् इत्येतत्
	पिहितं कर्तुं याचते।

	'
	- source_sentence: Hearing Vibhisana's words, Jambevan, best of bears, evoking utterance
	with extreme effort, said.
	sentences:
	- विभीषणवचः श्रुत्वा जाम्बवानृक्षपुङ्गवः। कृच्छादब्युद्गिरन्वाक्यमिदं वचनमब्रवीत्॥
	- 'आल्फा-बे आल्फा- बे इतीदं मार्केट् टोर् नेटवर्क् इत्यत्र कार्यं कुर्वत् एकं ऑनलाइन
	डार्कनेट् मार्केट्प्लेस् आसीत्।

	'
	- स शरान्वञ्चयामास तेषामाशुचरः कपिः। रथवेगांश्च वीराणां विचरन्विमलेऽम्बरे॥
	pipeline_tag: sentence-similarity
	library_name: sentence-transformers
	metrics:
	- src2trg_accuracy
	- trg2src_accuracy
	- mean_accuracy
	model-index:
	- name: SentenceTransformer based on Qwen/Qwen3-Embedding-0.6B
	results:
	- task:
	type: translation
	name: Translation
	dataset:
	name: eval en sa
	type: eval-en-sa
	metrics:
	- type: src2trg_accuracy
	value: 0.896
	name: Src2Trg Accuracy
	- type: trg2src_accuracy
	value: 0.896
	name: Trg2Src Accuracy
	- type: mean_accuracy
	value: 0.896
	name: Mean Accuracy
	---

	# SentenceTransformer based on Qwen/Qwen3-Embedding-0.6B

	This is a [sentence-transformers](https://www.SBERT.net) model finetuned from [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B). It maps sentences & paragraphs to a 1024-dimensional dense vector space and can be used for semantic textual similarity, semantic search, paraphrase mining, text classification, clustering, and more.

	## Model Details

	### Model Description
	- Model Type: Sentence Transformer
	- Base model: [Qwen/Qwen3-Embedding-0.6B](https://huggingface.co/Qwen/Qwen3-Embedding-0.6B) <!-- at revision c54f2e6e80b2d7b7de06f51cec4959f6b3e03418 -->
	- Maximum Sequence Length: 2048 tokens
	- Output Dimensionality: 1024 dimensions
	- Similarity Function: Cosine Similarity
	<!-- - Training Dataset: Unknown -->
	<!-- - Language: Unknown -->
	<!-- - License: Unknown -->

	### Model Sources

	- Documentation: [Sentence Transformers Documentation](https://sbert.net)
	- Repository: [Sentence Transformers on GitHub](https://github.com/UKPLab/sentence-transformers)
	- Hugging Face: [Sentence Transformers on Hugging Face](https://huggingface.co/models?library=sentence-transformers)

	### Full Model Architecture

	```
	SentenceTransformer(
	(0): Transformer({'max_seq_length': 2048, 'do_lower_case': False, 'architecture': 'Qwen3Model'})
	(1): Pooling({'word_embedding_dimension': 1024, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': False, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': True, 'include_prompt': True})
	(2): Normalize()
	)
	```

	## Usage

	### Direct Usage (Sentence Transformers)

	First install the Sentence Transformers library:

	```bash
	pip install -U sentence-transformers
	```

	Then you can load this model and run inference.
	```python
	from sentence_transformers import SentenceTransformer

	# Download from the 🤗 Hub
	model = SentenceTransformer("sentence_transformers_model_id")
	# Run inference
	queries = [
	"Hearing Vibhisana\u0027s words, Jambevan, best of bears, evoking utterance with extreme effort, said.",
	]
	documents = [
	'विभीषणवचः श्रुत्वा जाम्बवानृक्षपुङ्गवः। कृच्छादब्युद्गिरन्वाक्यमिदं वचनमब्रवीत्॥',
	'स शरान्वञ्चयामास तेषामाशुचरः कपिः। रथवेगांश्च वीराणां विचरन्विमलेऽम्बरे॥',
	'आल्फा-बे आल्फा- बे इतीदं मार्केट् टोर् नेटवर्क् इत्यत्र कार्यं कुर्वत् एकं ऑनलाइन डार्कनेट् मार्केट्प्लेस् आसीत्।\n',
	]
	query_embeddings = model.encode_query(queries)
	document_embeddings = model.encode_document(documents)
	print(query_embeddings.shape, document_embeddings.shape)
	# [1, 1024] [3, 1024]

	# Get the similarity scores for the embeddings
	similarities = model.similarity(query_embeddings, document_embeddings)
	print(similarities)
	# tensor([[ 0.6203, 0.0006, 0.1011]])
	```

	<!--
	### Direct Usage (Transformers)

	<details><summary>Click to see the direct usage in Transformers</summary>

	</details>
	-->

	<!--
	### Downstream Usage (Sentence Transformers)

	You can finetune this model on your own dataset.

	<details><summary>Click to expand</summary>

	</details>
	-->

	<!--
	### Out-of-Scope Use

	List how the model may foreseeably be misused and address what users ought not to do with the model.
	-->

	## Evaluation

	### Metrics

	#### Translation

	* Dataset: `eval-en-sa`
	* Evaluated with [<code>TranslationEvaluator</code>](https://sbert.net/docs/package_reference/sentence_transformer/evaluation.html#sentence_transformers.evaluation.TranslationEvaluator)

	\| Metric \| Value \|
	\|:------------------\|:----------\|
	\| src2trg_accuracy \| 0.896 \|
	\| trg2src_accuracy \| 0.896 \|
	\| mean_accuracy \| 0.896 \|

	<!--
	## Bias, Risks and Limitations

	What are the known or foreseeable issues stemming from this model? You could also flag here known failure cases or weaknesses of the model.
	-->

	<!--
	### Recommendations

	What are recommendations with respect to the foreseeable issues? For example, filtering explicit content.
	-->

	## Training Details

	### Training Dataset

	#### Unnamed Dataset

	* Size: 257,886 training samples
	* Columns: <code>sentence_0</code> and <code>sentence_1</code>
	* Approximate statistics based on the first 1000 samples:
	\| \| sentence_0 \| sentence_1 \|
	\|:--------\|:-----------------------------------------------------------------------------------\|:------------------------------------------------------------------------------------\|
	\| type \| string \| string \|
	\| details \| <ul><li>min: 3 tokens</li><li>mean: 30.43 tokens</li><li>max: 229 tokens</li></ul> \| <ul><li>min: 11 tokens</li><li>mean: 91.02 tokens</li><li>max: 565 tokens</li></ul> \|
	* Samples:
	\| sentence_0 \| sentence_1 \|
	\|:-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------\|:-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------\|
	\| <code>But there is another, namely the Supreme Being, called Paramatma, who being the everlasting Lord, and pervading the three worlds, sustains them.</code> \| <code>उत्तमः पुरुषस्त्वन्यः परमात्मेत्युदाहृतः। यो लोकत्रयमाविश्य बिभर्त्यव्यय ईश्वरः॥</code> \|
	\| <code>The Nanda king is described to be cruel, against dharma and shastras, and born out of an illicit relationship followed by a coup.<br></code> \| <code>नन्द-वंशस्य राजा क्रूरी, धर्मस्य शास्त्रस्य च विरोधी, प्रतिरोधात् परम् अक्रमात् सम्बन्धात् जातः इति च वर्णितः अस्ति।<br></code> \|
	\| <code>Some say that the qualities of such men are not lost. Some say that they are all lost. Those who say that they are not lost rely upon the Shrutis, which do not contain any declaration to the contrary. They, however, who say, that the qualities are all lost rely on the Smritis. One should taking into consideration both these opinions, judge as to which of them is right.</code> \| <code>प्रध्वस्ता न निवर्तन्ते निवृत्तिर्नोपलभ्यते। प्रत्यक्षेण परोक्षं तदनुमानेन सिध्यति॥ एवमेकेऽध्यवस्यन्ति निवृत्तिरिति चापरे। उभयं सम्प्रधायैतद् व्यवस्येत यथामति॥</code> \|
	* Loss: [<code>MultipleNegativesRankingLoss</code>](https://sbert.net/docs/package_reference/sentence_transformer/losses.html#multiplenegativesrankingloss) with these parameters:
	```json
	{
	"scale": 20.0,
	"similarity_fct": "cos_sim"
	}
	```

	### Training Hyperparameters
	#### Non-Default Hyperparameters

	- `eval_strategy`: steps
	- `per_device_train_batch_size`: 4
	- `per_device_eval_batch_size`: 4
	- `num_train_epochs`: 15
	- `multi_dataset_batch_sampler`: round_robin

	#### All Hyperparameters
	<details><summary>Click to expand</summary>

	- `overwrite_output_dir`: False
	- `do_predict`: False
	- `eval_strategy`: steps
	- `prediction_loss_only`: True
	- `per_device_train_batch_size`: 4
	- `per_device_eval_batch_size`: 4
	- `per_gpu_train_batch_size`: None
	- `per_gpu_eval_batch_size`: None
	- `gradient_accumulation_steps`: 1
	- `eval_accumulation_steps`: None
	- `torch_empty_cache_steps`: None
	- `learning_rate`: 5e-05
	- `weight_decay`: 0.0
	- `adam_beta1`: 0.9
	- `adam_beta2`: 0.999
	- `adam_epsilon`: 1e-08
	- `max_grad_norm`: 1
	- `num_train_epochs`: 15
	- `max_steps`: -1
	- `lr_scheduler_type`: linear
	- `lr_scheduler_kwargs`: {}
	- `warmup_ratio`: 0.0
	- `warmup_steps`: 0
	- `log_level`: passive
	- `log_level_replica`: warning
	- `log_on_each_node`: True
	- `logging_nan_inf_filter`: True
	- `save_safetensors`: True
	- `save_on_each_node`: False
	- `save_only_model`: False
	- `restore_callback_states_from_checkpoint`: False
	- `no_cuda`: False
	- `use_cpu`: False
	- `use_mps_device`: False
	- `seed`: 42
	- `data_seed`: None
	- `jit_mode_eval`: False
	- `use_ipex`: False
	- `bf16`: False
	- `fp16`: False
	- `fp16_opt_level`: O1
	- `half_precision_backend`: auto
	- `bf16_full_eval`: False
	- `fp16_full_eval`: False
	- `tf32`: None
	- `local_rank`: 0
	- `ddp_backend`: None
	- `tpu_num_cores`: None
	- `tpu_metrics_debug`: False
	- `debug`: []
	- `dataloader_drop_last`: False
	- `dataloader_num_workers`: 0
	- `dataloader_prefetch_factor`: None
	- `past_index`: -1
	- `disable_tqdm`: False
	- `remove_unused_columns`: True
	- `label_names`: None
	- `load_best_model_at_end`: False
	- `ignore_data_skip`: False
	- `fsdp`: []
	- `fsdp_min_num_params`: 0
	- `fsdp_config`: {'min_num_params': 0, 'xla': False, 'xla_fsdp_v2': False, 'xla_fsdp_grad_ckpt': False}
	- `fsdp_transformer_layer_cls_to_wrap`: None
	- `accelerator_config`: {'split_batches': False, 'dispatch_batches': None, 'even_batches': True, 'use_seedable_sampler': True, 'non_blocking': False, 'gradient_accumulation_kwargs': None}
	- `deepspeed`: None
	- `label_smoothing_factor`: 0.0
	- `optim`: adamw_torch
	- `optim_args`: None
	- `adafactor`: False
	- `group_by_length`: False
	- `length_column_name`: length
	- `ddp_find_unused_parameters`: None
	- `ddp_bucket_cap_mb`: None
	- `ddp_broadcast_buffers`: False
	- `dataloader_pin_memory`: True
	- `dataloader_persistent_workers`: False
	- `skip_memory_metrics`: True
	- `use_legacy_prediction_loop`: False
	- `push_to_hub`: False
	- `resume_from_checkpoint`: None
	- `hub_model_id`: None
	- `hub_strategy`: every_save
	- `hub_private_repo`: None
	- `hub_always_push`: False
	- `hub_revision`: None
	- `gradient_checkpointing`: False
	- `gradient_checkpointing_kwargs`: None
	- `include_inputs_for_metrics`: False
	- `include_for_metrics`: []
	- `eval_do_concat_batches`: True
	- `fp16_backend`: auto
	- `push_to_hub_model_id`: None
	- `push_to_hub_organization`: None
	- `mp_parameters`:
	- `auto_find_batch_size`: False
	- `full_determinism`: False
	- `torchdynamo`: None
	- `ray_scope`: last
	- `ddp_timeout`: 1800
	- `torch_compile`: False
	- `torch_compile_backend`: None
	- `torch_compile_mode`: None
	- `include_tokens_per_second`: False
	- `include_num_input_tokens_seen`: False
	- `neftune_noise_alpha`: None
	- `optim_target_modules`: None
	- `batch_eval_metrics`: False
	- `eval_on_start`: False
	- `use_liger_kernel`: False
	- `liger_kernel_config`: None
	- `eval_use_gather_object`: False
	- `average_tokens_across_devices`: False
	- `prompts`: None
	- `batch_sampler`: batch_sampler
	- `multi_dataset_batch_sampler`: round_robin
	- `router_mapping`: {}
	- `learning_rate_mapping`: {}

	</details>

	### Training Logs
	<details><summary>Click to expand</summary>

	\| Epoch \| Step \| Training Loss \| eval-en-sa_mean_accuracy \|
	\|:-------:\|:------:\|:-------------:\|:------------------------:\|
	\| 0.0078 \| 500 \| 0.1029 \| - \|
	\| 0.0155 \| 1000 \| 0.0394 \| - \|
	\| 0.0233 \| 1500 \| 0.0325 \| - \|
	\| 0.0310 \| 2000 \| 0.027 \| - \|
	\| 0.0388 \| 2500 \| 0.031 \| - \|
	\| 0.0465 \| 3000 \| 0.0361 \| - \|
	\| 0.0543 \| 3500 \| 0.0448 \| - \|
	\| 0.0620 \| 4000 \| 0.036 \| - \|
	\| 0.0698 \| 4500 \| 0.0404 \| - \|
	\| 0.0776 \| 5000 \| 0.0549 \| - \|
	\| 0.0853 \| 5500 \| 0.0708 \| - \|
	\| 0.0931 \| 6000 \| 0.0422 \| - \|
	\| 0.1008 \| 6500 \| 0.0469 \| - \|
	\| 0.1086 \| 7000 \| 0.0441 \| - \|
	\| 0.1163 \| 7500 \| 0.0543 \| - \|
	\| 0.1241 \| 8000 \| 0.0587 \| - \|
	\| 0.1318 \| 8500 \| 0.0621 \| - \|
	\| 0.1396 \| 9000 \| 0.0703 \| - \|
	\| 0.1474 \| 9500 \| 0.0634 \| - \|
	\| 0.1551 \| 10000 \| 0.0576 \| - \|
	\| 0.1629 \| 10500 \| 0.0513 \| - \|
	\| 0.1706 \| 11000 \| 0.0485 \| - \|
	\| 0.1784 \| 11500 \| 0.059 \| - \|
	\| 0.1861 \| 12000 \| 0.0539 \| - \|
	\| 0.1939 \| 12500 \| 0.0578 \| - \|
	\| 0.2016 \| 13000 \| 0.0613 \| - \|
	\| 0.2094 \| 13500 \| 0.0649 \| - \|
	\| 0.2171 \| 14000 \| 0.046 \| - \|
	\| 0.2249 \| 14500 \| 0.0354 \| - \|
	\| 0.2327 \| 15000 \| 0.0648 \| - \|
	\| 0.2404 \| 15500 \| 0.0457 \| - \|
	\| 0.2482 \| 16000 \| 0.0433 \| - \|
	\| 0.2559 \| 16500 \| 0.0408 \| - \|
	\| 0.2637 \| 17000 \| 0.0407 \| - \|
	\| 0.2714 \| 17500 \| 0.0479 \| - \|
	\| 0.2792 \| 18000 \| 0.0364 \| - \|
	\| 0.2869 \| 18500 \| 0.0542 \| - \|
	\| 0.2947 \| 19000 \| 0.0416 \| - \|
	\| 0.3025 \| 19500 \| 0.0352 \| - \|
	\| 0.3102 \| 20000 \| 0.0556 \| - \|
	\| 0.3180 \| 20500 \| 0.0323 \| - \|
	\| 0.3257 \| 21000 \| 0.0553 \| - \|
	\| 0.3335 \| 21500 \| 0.0417 \| - \|
	\| 0.3412 \| 22000 \| 0.0292 \| - \|
	\| 0.3490 \| 22500 \| 0.0482 \| - \|
	\| 0.3567 \| 23000 \| 0.0294 \| - \|
	\| 0.3645 \| 23500 \| 0.035 \| - \|
	\| 0.3723 \| 24000 \| 0.0423 \| - \|
	\| 0.3800 \| 24500 \| 0.0419 \| - \|
	\| 0.3878 \| 25000 \| 0.0224 \| - \|
	\| 0.3955 \| 25500 \| 0.0392 \| - \|
	\| 0.4033 \| 26000 \| 0.0293 \| - \|
	\| 0.4110 \| 26500 \| 0.0325 \| - \|
	\| 0.4188 \| 27000 \| 0.0196 \| - \|
	\| 0.4265 \| 27500 \| 0.0304 \| - \|
	\| 0.4343 \| 28000 \| 0.0463 \| - \|
	\| 0.4421 \| 28500 \| 0.0271 \| - \|
	\| 0.4498 \| 29000 \| 0.029 \| - \|
	\| 0.4576 \| 29500 \| 0.0384 \| - \|
	\| 0.4653 \| 30000 \| 0.0321 \| - \|
	\| 0.4731 \| 30500 \| 0.0339 \| - \|
	\| 0.4808 \| 31000 \| 0.0356 \| - \|
	\| 0.4886 \| 31500 \| 0.027 \| - \|
	\| 0.4963 \| 32000 \| 0.0396 \| - \|
	\| 0.5041 \| 32500 \| 0.0295 \| - \|
	\| 0.5119 \| 33000 \| 0.0296 \| - \|
	\| 0.5196 \| 33500 \| 0.0348 \| - \|
	\| 0.5274 \| 34000 \| 0.0293 \| - \|
	\| 0.5351 \| 34500 \| 0.0231 \| - \|
	\| 0.5429 \| 35000 \| 0.0298 \| - \|
	\| 0.5506 \| 35500 \| 0.0272 \| - \|
	\| 0.5584 \| 36000 \| 0.0328 \| - \|
	\| 0.5661 \| 36500 \| 0.0253 \| - \|
	\| 0.5739 \| 37000 \| 0.0261 \| - \|
	\| 0.5816 \| 37500 \| 0.0241 \| - \|
	\| 0.5894 \| 38000 \| 0.0358 \| - \|
	\| 0.5972 \| 38500 \| 0.0246 \| - \|
	\| 0.6049 \| 39000 \| 0.0409 \| - \|
	\| 0.6127 \| 39500 \| 0.0252 \| - \|
	\| 0.6204 \| 40000 \| 0.0376 \| - \|
	\| 0.6282 \| 40500 \| 0.0327 \| - \|
	\| 0.6359 \| 41000 \| 0.023 \| - \|
	\| 0.6437 \| 41500 \| 0.0189 \| - \|
	\| 0.6514 \| 42000 \| 0.0294 \| - \|
	\| 0.6592 \| 42500 \| 0.0225 \| - \|
	\| 0.6670 \| 43000 \| 0.0344 \| - \|
	\| 0.6747 \| 43500 \| 0.015 \| - \|
	\| 0.6825 \| 44000 \| 0.0277 \| - \|
	\| 0.6902 \| 44500 \| 0.035 \| - \|
	\| 0.6980 \| 45000 \| 0.031 \| - \|
	\| 0.7057 \| 45500 \| 0.0255 \| - \|
	\| 0.7135 \| 46000 \| 0.0288 \| - \|
	\| 0.7212 \| 46500 \| 0.0242 \| - \|
	\| 0.7290 \| 47000 \| 0.0232 \| - \|
	\| 0.7368 \| 47500 \| 0.0256 \| - \|
	\| 0.7445 \| 48000 \| 0.0277 \| - \|
	\| 0.7523 \| 48500 \| 0.0328 \| - \|
	\| 0.7600 \| 49000 \| 0.0223 \| - \|
	\| 0.7678 \| 49500 \| 0.0194 \| - \|
	\| 0.7755 \| 50000 \| 0.021 \| 0.6445 \|
	\| 0.7833 \| 50500 \| 0.0261 \| - \|
	\| 0.7910 \| 51000 \| 0.0382 \| - \|
	\| 0.7988 \| 51500 \| 0.0272 \| - \|
	\| 0.8066 \| 52000 \| 0.0198 \| - \|
	\| 0.8143 \| 52500 \| 0.0277 \| - \|
	\| 0.8221 \| 53000 \| 0.029 \| - \|
	\| 0.8298 \| 53500 \| 0.0285 \| - \|
	\| 0.8376 \| 54000 \| 0.0127 \| - \|
	\| 0.8453 \| 54500 \| 0.0225 \| - \|
	\| 0.8531 \| 55000 \| 0.0253 \| - \|
	\| 0.8608 \| 55500 \| 0.0233 \| - \|
	\| 0.8686 \| 56000 \| 0.0127 \| - \|
	\| 0.8763 \| 56500 \| 0.0154 \| - \|
	\| 0.8841 \| 57000 \| 0.0228 \| - \|
	\| 0.8919 \| 57500 \| 0.0257 \| - \|
	\| 0.8996 \| 58000 \| 0.0201 \| - \|
	\| 0.9074 \| 58500 \| 0.0192 \| - \|
	\| 0.9151 \| 59000 \| 0.0222 \| - \|
	\| 0.9229 \| 59500 \| 0.0185 \| - \|
	\| 0.9306 \| 60000 \| 0.0254 \| - \|
	\| 0.9384 \| 60500 \| 0.0155 \| - \|
	\| 0.9461 \| 61000 \| 0.0397 \| - \|
	\| 0.9539 \| 61500 \| 0.0235 \| - \|
	\| 0.9617 \| 62000 \| 0.0222 \| - \|
	\| 0.9694 \| 62500 \| 0.0123 \| - \|
	\| 0.9772 \| 63000 \| 0.0275 \| - \|
	\| 0.9849 \| 63500 \| 0.0247 \| - \|
	\| 0.9927 \| 64000 \| 0.0233 \| - \|
	\| 1.0 \| 64472 \| - \| 0.6890 \|
	\| 1.0004 \| 64500 \| 0.0212 \| - \|
	\| 1.0082 \| 65000 \| 0.0155 \| - \|
	\| 1.0159 \| 65500 \| 0.013 \| - \|
	\| 1.0237 \| 66000 \| 0.0217 \| - \|
	\| 1.0315 \| 66500 \| 0.0169 \| - \|
	\| 1.0392 \| 67000 \| 0.0127 \| - \|
	\| 1.0470 \| 67500 \| 0.0184 \| - \|
	\| 1.0547 \| 68000 \| 0.0159 \| - \|
	\| 1.0625 \| 68500 \| 0.0202 \| - \|
	\| 1.0702 \| 69000 \| 0.0121 \| - \|
	\| 1.0780 \| 69500 \| 0.0207 \| - \|
	\| 1.0857 \| 70000 \| 0.0232 \| - \|
	\| 1.0935 \| 70500 \| 0.0177 \| - \|
	\| 1.1013 \| 71000 \| 0.0207 \| - \|
	\| 1.1090 \| 71500 \| 0.0163 \| - \|
	\| 1.1168 \| 72000 \| 0.0229 \| - \|
	\| 1.1245 \| 72500 \| 0.0111 \| - \|
	\| 1.1323 \| 73000 \| 0.0252 \| - \|
	\| 1.1400 \| 73500 \| 0.0231 \| - \|
	\| 1.1478 \| 74000 \| 0.0194 \| - \|
	\| 1.1555 \| 74500 \| 0.016 \| - \|
	\| 1.1633 \| 75000 \| 0.014 \| - \|
	\| 1.1711 \| 75500 \| 0.0297 \| - \|
	\| 1.1788 \| 76000 \| 0.0175 \| - \|
	\| 1.1866 \| 76500 \| 0.0152 \| - \|
	\| 1.1943 \| 77000 \| 0.0198 \| - \|
	\| 1.2021 \| 77500 \| 0.0118 \| - \|
	\| 1.2098 \| 78000 \| 0.0154 \| - \|
	\| 1.2176 \| 78500 \| 0.0162 \| - \|
	\| 1.2253 \| 79000 \| 0.0174 \| - \|
	\| 1.2331 \| 79500 \| 0.0154 \| - \|
	\| 1.2408 \| 80000 \| 0.0248 \| - \|
	\| 1.2486 \| 80500 \| 0.0129 \| - \|
	\| 1.2564 \| 81000 \| 0.0211 \| - \|
	\| 1.2641 \| 81500 \| 0.0218 \| - \|
	\| 1.2719 \| 82000 \| 0.0284 \| - \|
	\| 1.2796 \| 82500 \| 0.0178 \| - \|
	\| 1.2874 \| 83000 \| 0.0142 \| - \|
	\| 1.2951 \| 83500 \| 0.0153 \| - \|
	\| 1.3029 \| 84000 \| 0.0167 \| - \|
	\| 1.3106 \| 84500 \| 0.0228 \| - \|
	\| 1.3184 \| 85000 \| 0.0131 \| - \|
	\| 1.3262 \| 85500 \| 0.0146 \| - \|
	\| 1.3339 \| 86000 \| 0.0245 \| - \|
	\| 1.3417 \| 86500 \| 0.0101 \| - \|
	\| 1.3494 \| 87000 \| 0.0175 \| - \|
	\| 1.3572 \| 87500 \| 0.017 \| - \|
	\| 1.3649 \| 88000 \| 0.0174 \| - \|
	\| 1.3727 \| 88500 \| 0.0112 \| - \|
	\| 1.3804 \| 89000 \| 0.0144 \| - \|
	\| 1.3882 \| 89500 \| 0.0162 \| - \|
	\| 1.3960 \| 90000 \| 0.0131 \| - \|
	\| 1.4037 \| 90500 \| 0.0119 \| - \|
	\| 1.4115 \| 91000 \| 0.015 \| - \|
	\| 1.4192 \| 91500 \| 0.018 \| - \|
	\| 1.4270 \| 92000 \| 0.0159 \| - \|
	\| 1.4347 \| 92500 \| 0.0117 \| - \|
	\| 1.4425 \| 93000 \| 0.0101 \| - \|
	\| 1.4502 \| 93500 \| 0.0147 \| - \|
	\| 1.4580 \| 94000 \| 0.0102 \| - \|
	\| 1.4658 \| 94500 \| 0.0156 \| - \|
	\| 1.4735 \| 95000 \| 0.0211 \| - \|
	\| 1.4813 \| 95500 \| 0.0138 \| - \|
	\| 1.4890 \| 96000 \| 0.0151 \| - \|
	\| 1.4968 \| 96500 \| 0.0117 \| - \|
	\| 1.5045 \| 97000 \| 0.0102 \| - \|
	\| 1.5123 \| 97500 \| 0.0116 \| - \|
	\| 1.5200 \| 98000 \| 0.0141 \| - \|
	\| 1.5278 \| 98500 \| 0.023 \| - \|
	\| 1.5356 \| 99000 \| 0.0159 \| - \|
	\| 1.5433 \| 99500 \| 0.0132 \| - \|
	\| 1.5511 \| 100000 \| 0.0156 \| 0.683 \|
	\| 1.5588 \| 100500 \| 0.0237 \| - \|
	\| 1.5666 \| 101000 \| 0.0153 \| - \|
	\| 1.5743 \| 101500 \| 0.017 \| - \|
	\| 1.5821 \| 102000 \| 0.0181 \| - \|
	\| 1.5898 \| 102500 \| 0.0122 \| - \|
	\| 1.5976 \| 103000 \| 0.0054 \| - \|
	\| 1.6053 \| 103500 \| 0.0146 \| - \|
	\| 1.6131 \| 104000 \| 0.0136 \| - \|
	\| 1.6209 \| 104500 \| 0.0194 \| - \|
	\| 1.6286 \| 105000 \| 0.0134 \| - \|
	\| 1.6364 \| 105500 \| 0.0157 \| - \|
	\| 1.6441 \| 106000 \| 0.0078 \| - \|
	\| 1.6519 \| 106500 \| 0.0143 \| - \|
	\| 1.6596 \| 107000 \| 0.0169 \| - \|
	\| 1.6674 \| 107500 \| 0.0183 \| - \|
	\| 1.6751 \| 108000 \| 0.0151 \| - \|
	\| 1.6829 \| 108500 \| 0.0109 \| - \|
	\| 1.6907 \| 109000 \| 0.0185 \| - \|
	\| 1.6984 \| 109500 \| 0.0166 \| - \|
	\| 1.7062 \| 110000 \| 0.0122 \| - \|
	\| 1.7139 \| 110500 \| 0.016 \| - \|
	\| 1.7217 \| 111000 \| 0.0199 \| - \|
	\| 1.7294 \| 111500 \| 0.0129 \| - \|
	\| 1.7372 \| 112000 \| 0.022 \| - \|
	\| 1.7449 \| 112500 \| 0.0106 \| - \|
	\| 1.7527 \| 113000 \| 0.0104 \| - \|
	\| 1.7605 \| 113500 \| 0.0187 \| - \|
	\| 1.7682 \| 114000 \| 0.0211 \| - \|
	\| 1.7760 \| 114500 \| 0.0123 \| - \|
	\| 1.7837 \| 115000 \| 0.0116 \| - \|
	\| 1.7915 \| 115500 \| 0.0176 \| - \|
	\| 1.7992 \| 116000 \| 0.0153 \| - \|
	\| 1.8070 \| 116500 \| 0.0154 \| - \|
	\| 1.8147 \| 117000 \| 0.0185 \| - \|
	\| 1.8225 \| 117500 \| 0.0126 \| - \|
	\| 1.8303 \| 118000 \| 0.0167 \| - \|
	\| 1.8380 \| 118500 \| 0.0066 \| - \|
	\| 1.8458 \| 119000 \| 0.0141 \| - \|
	\| 1.8535 \| 119500 \| 0.0113 \| - \|
	\| 1.8613 \| 120000 \| 0.0143 \| - \|
	\| 1.8690 \| 120500 \| 0.0133 \| - \|
	\| 1.8768 \| 121000 \| 0.0118 \| - \|
	\| 1.8845 \| 121500 \| 0.0183 \| - \|
	\| 1.8923 \| 122000 \| 0.0144 \| - \|
	\| 1.9000 \| 122500 \| 0.0118 \| - \|
	\| 1.9078 \| 123000 \| 0.0114 \| - \|
	\| 1.9156 \| 123500 \| 0.0117 \| - \|
	\| 1.9233 \| 124000 \| 0.0085 \| - \|
	\| 1.9311 \| 124500 \| 0.0097 \| - \|
	\| 1.9388 \| 125000 \| 0.0113 \| - \|
	\| 1.9466 \| 125500 \| 0.0181 \| - \|
	\| 1.9543 \| 126000 \| 0.0165 \| - \|
	\| 1.9621 \| 126500 \| 0.0133 \| - \|
	\| 1.9698 \| 127000 \| 0.0182 \| - \|
	\| 1.9776 \| 127500 \| 0.0089 \| - \|
	\| 1.9854 \| 128000 \| 0.0083 \| - \|
	\| 1.9931 \| 128500 \| 0.0206 \| - \|
	\| 2.0 \| 128944 \| - \| 0.708 \|
	\| 2.0009 \| 129000 \| 0.0078 \| - \|
	\| 2.0086 \| 129500 \| 0.0119 \| - \|
	\| 2.0164 \| 130000 \| 0.0129 \| - \|
	\| 2.0241 \| 130500 \| 0.0101 \| - \|
	\| 2.0319 \| 131000 \| 0.0202 \| - \|
	\| 2.0396 \| 131500 \| 0.0066 \| - \|
	\| 2.0474 \| 132000 \| 0.0052 \| - \|
	\| 2.0552 \| 132500 \| 0.0099 \| - \|
	\| 2.0629 \| 133000 \| 0.0072 \| - \|
	\| 2.0707 \| 133500 \| 0.0147 \| - \|
	\| 2.0784 \| 134000 \| 0.0058 \| - \|
	\| 2.0862 \| 134500 \| 0.0103 \| - \|
	\| 2.0939 \| 135000 \| 0.0078 \| - \|
	\| 2.1017 \| 135500 \| 0.0184 \| - \|
	\| 2.1094 \| 136000 \| 0.0058 \| - \|
	\| 2.1172 \| 136500 \| 0.0047 \| - \|
	\| 2.1250 \| 137000 \| 0.0115 \| - \|
	\| 2.1327 \| 137500 \| 0.0083 \| - \|
	\| 2.1405 \| 138000 \| 0.0082 \| - \|
	\| 2.1482 \| 138500 \| 0.0094 \| - \|
	\| 2.1560 \| 139000 \| 0.0188 \| - \|
	\| 2.1637 \| 139500 \| 0.0059 \| - \|
	\| 2.1715 \| 140000 \| 0.0136 \| - \|
	\| 2.1792 \| 140500 \| 0.0134 \| - \|
	\| 2.1870 \| 141000 \| 0.0083 \| - \|
	\| 2.1948 \| 141500 \| 0.0114 \| - \|
	\| 2.2025 \| 142000 \| 0.015 \| - \|
	\| 2.2103 \| 142500 \| 0.006 \| - \|
	\| 2.2180 \| 143000 \| 0.0095 \| - \|
	\| 2.2258 \| 143500 \| 0.0095 \| - \|
	\| 2.2335 \| 144000 \| 0.0091 \| - \|
	\| 2.2413 \| 144500 \| 0.0094 \| - \|
	\| 2.2490 \| 145000 \| 0.0049 \| - \|
	\| 2.2568 \| 145500 \| 0.0077 \| - \|
	\| 2.2645 \| 146000 \| 0.0113 \| - \|
	\| 2.2723 \| 146500 \| 0.0085 \| - \|
	\| 2.2801 \| 147000 \| 0.009 \| - \|
	\| 2.2878 \| 147500 \| 0.0162 \| - \|
	\| 2.2956 \| 148000 \| 0.0176 \| - \|
	\| 2.3033 \| 148500 \| 0.0155 \| - \|
	\| 2.3111 \| 149000 \| 0.0106 \| - \|
	\| 2.3188 \| 149500 \| 0.0132 \| - \|
	\| 2.3266 \| 150000 \| 0.0057 \| 0.7135 \|
	\| 2.3343 \| 150500 \| 0.007 \| - \|
	\| 2.3421 \| 151000 \| 0.0046 \| - \|
	\| 2.3499 \| 151500 \| 0.0145 \| - \|
	\| 2.3576 \| 152000 \| 0.012 \| - \|
	\| 2.3654 \| 152500 \| 0.0128 \| - \|
	\| 2.3731 \| 153000 \| 0.012 \| - \|
	\| 2.3809 \| 153500 \| 0.01 \| - \|
	\| 2.3886 \| 154000 \| 0.0083 \| - \|
	\| 2.3964 \| 154500 \| 0.0117 \| - \|
	\| 2.4041 \| 155000 \| 0.0064 \| - \|
	\| 2.4119 \| 155500 \| 0.0092 \| - \|
	\| 2.4197 \| 156000 \| 0.0107 \| - \|
	\| 2.4274 \| 156500 \| 0.0091 \| - \|
	\| 2.4352 \| 157000 \| 0.0087 \| - \|
	\| 2.4429 \| 157500 \| 0.0149 \| - \|
	\| 2.4507 \| 158000 \| 0.0116 \| - \|
	\| 2.4584 \| 158500 \| 0.0133 \| - \|
	\| 2.4662 \| 159000 \| 0.0068 \| - \|
	\| 2.4739 \| 159500 \| 0.0117 \| - \|
	\| 2.4817 \| 160000 \| 0.0075 \| - \|
	\| 2.4895 \| 160500 \| 0.0082 \| - \|
	\| 2.4972 \| 161000 \| 0.0083 \| - \|
	\| 2.5050 \| 161500 \| 0.0216 \| - \|
	\| 2.5127 \| 162000 \| 0.0082 \| - \|
	\| 2.5205 \| 162500 \| 0.0037 \| - \|
	\| 2.5282 \| 163000 \| 0.0125 \| - \|
	\| 2.5360 \| 163500 \| 0.0134 \| - \|
	\| 2.5437 \| 164000 \| 0.0048 \| - \|
	\| 2.5515 \| 164500 \| 0.0092 \| - \|
	\| 2.5593 \| 165000 \| 0.0065 \| - \|
	\| 2.5670 \| 165500 \| 0.0131 \| - \|
	\| 2.5748 \| 166000 \| 0.0071 \| - \|
	\| 2.5825 \| 166500 \| 0.0069 \| - \|
	\| 2.5903 \| 167000 \| 0.009 \| - \|
	\| 2.5980 \| 167500 \| 0.006 \| - \|
	\| 2.6058 \| 168000 \| 0.0081 \| - \|
	\| 2.6135 \| 168500 \| 0.008 \| - \|
	\| 2.6213 \| 169000 \| 0.0059 \| - \|
	\| 2.6290 \| 169500 \| 0.0067 \| - \|
	\| 2.6368 \| 170000 \| 0.0086 \| - \|
	\| 2.6446 \| 170500 \| 0.013 \| - \|
	\| 2.6523 \| 171000 \| 0.0064 \| - \|
	\| 2.6601 \| 171500 \| 0.0092 \| - \|
	\| 2.6678 \| 172000 \| 0.0091 \| - \|
	\| 2.6756 \| 172500 \| 0.0087 \| - \|
	\| 2.6833 \| 173000 \| 0.0105 \| - \|
	\| 2.6911 \| 173500 \| 0.0098 \| - \|
	\| 2.6988 \| 174000 \| 0.0096 \| - \|
	\| 2.7066 \| 174500 \| 0.017 \| - \|
	\| 2.7144 \| 175000 \| 0.005 \| - \|
	\| 2.7221 \| 175500 \| 0.007 \| - \|
	\| 2.7299 \| 176000 \| 0.0086 \| - \|
	\| 2.7376 \| 176500 \| 0.0111 \| - \|
	\| 2.7454 \| 177000 \| 0.0079 \| - \|
	\| 2.7531 \| 177500 \| 0.0106 \| - \|
	\| 2.7609 \| 178000 \| 0.0045 \| - \|
	\| 2.7686 \| 178500 \| 0.0154 \| - \|
	\| 2.7764 \| 179000 \| 0.0108 \| - \|
	\| 2.7842 \| 179500 \| 0.0073 \| - \|
	\| 2.7919 \| 180000 \| 0.0077 \| - \|
	\| 2.7997 \| 180500 \| 0.0144 \| - \|
	\| 2.8074 \| 181000 \| 0.0099 \| - \|
	\| 2.8152 \| 181500 \| 0.0125 \| - \|
	\| 2.8229 \| 182000 \| 0.011 \| - \|
	\| 2.8307 \| 182500 \| 0.0068 \| - \|
	\| 2.8384 \| 183000 \| 0.007 \| - \|
	\| 2.8462 \| 183500 \| 0.0069 \| - \|
	\| 2.8540 \| 184000 \| 0.0087 \| - \|
	\| 2.8617 \| 184500 \| 0.0092 \| - \|
	\| 2.8695 \| 185000 \| 0.0055 \| - \|
	\| 2.8772 \| 185500 \| 0.0067 \| - \|
	\| 2.8850 \| 186000 \| 0.0104 \| - \|
	\| 2.8927 \| 186500 \| 0.0076 \| - \|
	\| 2.9005 \| 187000 \| 0.005 \| - \|
	\| 2.9082 \| 187500 \| 0.0123 \| - \|
	\| 2.9160 \| 188000 \| 0.0103 \| - \|
	\| 2.9237 \| 188500 \| 0.0067 \| - \|
	\| 2.9315 \| 189000 \| 0.0124 \| - \|
	\| 2.9393 \| 189500 \| 0.0138 \| - \|
	\| 2.9470 \| 190000 \| 0.0165 \| - \|
	\| 2.9548 \| 190500 \| 0.0138 \| - \|
	\| 2.9625 \| 191000 \| 0.009 \| - \|
	\| 2.9703 \| 191500 \| 0.0098 \| - \|
	\| 2.9780 \| 192000 \| 0.011 \| - \|
	\| 2.9858 \| 192500 \| 0.0126 \| - \|
	\| 2.9935 \| 193000 \| 0.004 \| - \|
	\| 3.0 \| 193416 \| - \| 0.74 \|
	\| 3.0013 \| 193500 \| 0.0085 \| - \|
	\| 3.0091 \| 194000 \| 0.0044 \| - \|
	\| 3.0168 \| 194500 \| 0.0055 \| - \|
	\| 3.0246 \| 195000 \| 0.0085 \| - \|
	\| 3.0323 \| 195500 \| 0.0042 \| - \|
	\| 3.0401 \| 196000 \| 0.0096 \| - \|
	\| 3.0478 \| 196500 \| 0.0071 \| - \|
	\| 3.0556 \| 197000 \| 0.0085 \| - \|
	\| 3.0633 \| 197500 \| 0.0031 \| - \|
	\| 3.0711 \| 198000 \| 0.0066 \| - \|
	\| 3.0789 \| 198500 \| 0.0057 \| - \|
	\| 3.0866 \| 199000 \| 0.0051 \| - \|
	\| 3.0944 \| 199500 \| 0.0043 \| - \|
	\| 3.1021 \| 200000 \| 0.0058 \| 0.7465 \|
	\| 3.1099 \| 200500 \| 0.0097 \| - \|
	\| 3.1176 \| 201000 \| 0.0091 \| - \|
	\| 3.1254 \| 201500 \| 0.0071 \| - \|
	\| 3.1331 \| 202000 \| 0.0035 \| - \|
	\| 3.1409 \| 202500 \| 0.0079 \| - \|
	\| 3.1487 \| 203000 \| 0.0085 \| - \|
	\| 3.1564 \| 203500 \| 0.0041 \| - \|
	\| 3.1642 \| 204000 \| 0.006 \| - \|
	\| 3.1719 \| 204500 \| 0.0049 \| - \|
	\| 3.1797 \| 205000 \| 0.0092 \| - \|
	\| 3.1874 \| 205500 \| 0.0057 \| - \|
	\| 3.1952 \| 206000 \| 0.008 \| - \|
	\| 3.2029 \| 206500 \| 0.008 \| - \|
	\| 3.2107 \| 207000 \| 0.0046 \| - \|
	\| 3.2185 \| 207500 \| 0.0084 \| - \|
	\| 3.2262 \| 208000 \| 0.0108 \| - \|
	\| 3.2340 \| 208500 \| 0.0035 \| - \|
	\| 3.2417 \| 209000 \| 0.0083 \| - \|
	\| 3.2495 \| 209500 \| 0.0055 \| - \|
	\| 3.2572 \| 210000 \| 0.0049 \| - \|
	\| 3.2650 \| 210500 \| 0.0051 \| - \|
	\| 3.2727 \| 211000 \| 0.0104 \| - \|
	\| 3.2805 \| 211500 \| 0.0072 \| - \|
	\| 3.2882 \| 212000 \| 0.0044 \| - \|
	\| 3.2960 \| 212500 \| 0.0071 \| - \|
	\| 3.3038 \| 213000 \| 0.0063 \| - \|
	\| 3.3115 \| 213500 \| 0.006 \| - \|
	\| 3.3193 \| 214000 \| 0.0043 \| - \|
	\| 3.3270 \| 214500 \| 0.0053 \| - \|
	\| 3.3348 \| 215000 \| 0.0086 \| - \|
	\| 3.3425 \| 215500 \| 0.007 \| - \|
	\| 3.3503 \| 216000 \| 0.0074 \| - \|
	\| 3.3580 \| 216500 \| 0.0056 \| - \|
	\| 3.3658 \| 217000 \| 0.0076 \| - \|
	\| 3.3736 \| 217500 \| 0.0101 \| - \|
	\| 3.3813 \| 218000 \| 0.0051 \| - \|
	\| 3.3891 \| 218500 \| 0.0039 \| - \|
	\| 3.3968 \| 219000 \| 0.0063 \| - \|
	\| 3.4046 \| 219500 \| 0.0042 \| - \|
	\| 3.4123 \| 220000 \| 0.005 \| - \|
	\| 3.4201 \| 220500 \| 0.0038 \| - \|
	\| 3.4278 \| 221000 \| 0.006 \| - \|
	\| 3.4356 \| 221500 \| 0.0129 \| - \|
	\| 3.4434 \| 222000 \| 0.005 \| - \|
	\| 3.4511 \| 222500 \| 0.0083 \| - \|
	\| 3.4589 \| 223000 \| 0.0037 \| - \|
	\| 3.4666 \| 223500 \| 0.0072 \| - \|
	\| 3.4744 \| 224000 \| 0.0106 \| - \|
	\| 3.4821 \| 224500 \| 0.0053 \| - \|
	\| 3.4899 \| 225000 \| 0.0061 \| - \|
	\| 3.4976 \| 225500 \| 0.0044 \| - \|
	\| 3.5054 \| 226000 \| 0.018 \| - \|
	\| 3.5132 \| 226500 \| 0.0052 \| - \|
	\| 3.5209 \| 227000 \| 0.0112 \| - \|
	\| 3.5287 \| 227500 \| 0.0081 \| - \|
	\| 3.5364 \| 228000 \| 0.0028 \| - \|
	\| 3.5442 \| 228500 \| 0.0048 \| - \|
	\| 3.5519 \| 229000 \| 0.0106 \| - \|
	\| 3.5597 \| 229500 \| 0.004 \| - \|
	\| 3.5674 \| 230000 \| 0.0032 \| - \|
	\| 3.5752 \| 230500 \| 0.0147 \| - \|
	\| 3.5830 \| 231000 \| 0.0053 \| - \|
	\| 3.5907 \| 231500 \| 0.0124 \| - \|
	\| 3.5985 \| 232000 \| 0.0061 \| - \|
	\| 3.6062 \| 232500 \| 0.0075 \| - \|
	\| 3.6140 \| 233000 \| 0.0053 \| - \|
	\| 3.6217 \| 233500 \| 0.0056 \| - \|
	\| 3.6295 \| 234000 \| 0.0062 \| - \|
	\| 3.6372 \| 234500 \| 0.0102 \| - \|
	\| 3.6450 \| 235000 \| 0.0072 \| - \|
	\| 3.6527 \| 235500 \| 0.0116 \| - \|
	\| 3.6605 \| 236000 \| 0.0062 \| - \|
	\| 3.6683 \| 236500 \| 0.0068 \| - \|
	\| 3.6760 \| 237000 \| 0.0053 \| - \|
	\| 3.6838 \| 237500 \| 0.0076 \| - \|
	\| 3.6915 \| 238000 \| 0.0103 \| - \|
	\| 3.6993 \| 238500 \| 0.007 \| - \|
	\| 3.7070 \| 239000 \| 0.004 \| - \|
	\| 3.7148 \| 239500 \| 0.0093 \| - \|
	\| 3.7225 \| 240000 \| 0.0091 \| - \|
	\| 3.7303 \| 240500 \| 0.0073 \| - \|
	\| 3.7381 \| 241000 \| 0.006 \| - \|
	\| 3.7458 \| 241500 \| 0.006 \| - \|
	\| 3.7536 \| 242000 \| 0.007 \| - \|
	\| 3.7613 \| 242500 \| 0.0071 \| - \|
	\| 3.7691 \| 243000 \| 0.0072 \| - \|
	\| 3.7768 \| 243500 \| 0.0117 \| - \|
	\| 3.7846 \| 244000 \| 0.0032 \| - \|
	\| 3.7923 \| 244500 \| 0.0026 \| - \|
	\| 3.8001 \| 245000 \| 0.0041 \| - \|
	\| 3.8079 \| 245500 \| 0.0044 \| - \|
	\| 3.8156 \| 246000 \| 0.0109 \| - \|
	\| 3.8234 \| 246500 \| 0.0086 \| - \|
	\| 3.8311 \| 247000 \| 0.0044 \| - \|
	\| 3.8389 \| 247500 \| 0.006 \| - \|
	\| 3.8466 \| 248000 \| 0.0038 \| - \|
	\| 3.8544 \| 248500 \| 0.0025 \| - \|
	\| 3.8621 \| 249000 \| 0.0031 \| - \|
	\| 3.8699 \| 249500 \| 0.0035 \| - \|
	\| 3.8777 \| 250000 \| 0.0052 \| 0.7595 \|
	\| 3.8854 \| 250500 \| 0.0065 \| - \|
	\| 3.8932 \| 251000 \| 0.0091 \| - \|
	\| 3.9009 \| 251500 \| 0.0068 \| - \|
	\| 3.9087 \| 252000 \| 0.0079 \| - \|
	\| 3.9164 \| 252500 \| 0.0115 \| - \|
	\| 3.9242 \| 253000 \| 0.0042 \| - \|
	\| 3.9319 \| 253500 \| 0.0069 \| - \|
	\| 3.9397 \| 254000 \| 0.0079 \| - \|
	\| 3.9475 \| 254500 \| 0.0071 \| - \|
	\| 3.9552 \| 255000 \| 0.002 \| - \|
	\| 3.9630 \| 255500 \| 0.0062 \| - \|
	\| 3.9707 \| 256000 \| 0.0071 \| - \|
	\| 3.9785 \| 256500 \| 0.0063 \| - \|
	\| 3.9862 \| 257000 \| 0.0017 \| - \|
	\| 3.9940 \| 257500 \| 0.0091 \| - \|
	\| 4.0 \| 257888 \| - \| 0.752 \|
	\| 4.0017 \| 258000 \| 0.0037 \| - \|
	\| 4.0095 \| 258500 \| 0.0041 \| - \|
	\| 4.0172 \| 259000 \| 0.0057 \| - \|
	\| 4.0250 \| 259500 \| 0.0032 \| - \|
	\| 4.0328 \| 260000 \| 0.0038 \| - \|
	\| 4.0405 \| 260500 \| 0.0072 \| - \|
	\| 4.0483 \| 261000 \| 0.0033 \| - \|
	\| 4.0560 \| 261500 \| 0.0066 \| - \|
	\| 4.0638 \| 262000 \| 0.0102 \| - \|
	\| 4.0715 \| 262500 \| 0.0074 \| - \|
	\| 4.0793 \| 263000 \| 0.0054 \| - \|
	\| 4.0870 \| 263500 \| 0.0025 \| - \|
	\| 4.0948 \| 264000 \| 0.0063 \| - \|
	\| 4.1026 \| 264500 \| 0.0057 \| - \|
	\| 4.1103 \| 265000 \| 0.0078 \| - \|
	\| 4.1181 \| 265500 \| 0.0032 \| - \|
	\| 4.1258 \| 266000 \| 0.0065 \| - \|
	\| 4.1336 \| 266500 \| 0.0034 \| - \|
	\| 4.1413 \| 267000 \| 0.0038 \| - \|
	\| 4.1491 \| 267500 \| 0.0058 \| - \|
	\| 4.1568 \| 268000 \| 0.0028 \| - \|
	\| 4.1646 \| 268500 \| 0.0034 \| - \|
	\| 4.1724 \| 269000 \| 0.0091 \| - \|
	\| 4.1801 \| 269500 \| 0.005 \| - \|
	\| 4.1879 \| 270000 \| 0.0056 \| - \|
	\| 4.1956 \| 270500 \| 0.004 \| - \|
	\| 4.2034 \| 271000 \| 0.0036 \| - \|
	\| 4.2111 \| 271500 \| 0.0062 \| - \|
	\| 4.2189 \| 272000 \| 0.0035 \| - \|
	\| 4.2266 \| 272500 \| 0.004 \| - \|
	\| 4.2344 \| 273000 \| 0.003 \| - \|
	\| 4.2422 \| 273500 \| 0.0064 \| - \|
	\| 4.2499 \| 274000 \| 0.0059 \| - \|
	\| 4.2577 \| 274500 \| 0.0018 \| - \|
	\| 4.2654 \| 275000 \| 0.0069 \| - \|
	\| 4.2732 \| 275500 \| 0.0053 \| - \|
	\| 4.2809 \| 276000 \| 0.0064 \| - \|
	\| 4.2887 \| 276500 \| 0.0049 \| - \|
	\| 4.2964 \| 277000 \| 0.0066 \| - \|
	\| 4.3042 \| 277500 \| 0.0078 \| - \|
	\| 4.3119 \| 278000 \| 0.0025 \| - \|
	\| 4.3197 \| 278500 \| 0.0033 \| - \|
	\| 4.3275 \| 279000 \| 0.0054 \| - \|
	\| 4.3352 \| 279500 \| 0.0047 \| - \|
	\| 4.3430 \| 280000 \| 0.0047 \| - \|
	\| 4.3507 \| 280500 \| 0.0035 \| - \|
	\| 4.3585 \| 281000 \| 0.0025 \| - \|
	\| 4.3662 \| 281500 \| 0.0038 \| - \|
	\| 4.3740 \| 282000 \| 0.0023 \| - \|
	\| 4.3817 \| 282500 \| 0.0054 \| - \|
	\| 4.3895 \| 283000 \| 0.0059 \| - \|
	\| 4.3973 \| 283500 \| 0.004 \| - \|
	\| 4.4050 \| 284000 \| 0.0064 \| - \|
	\| 4.4128 \| 284500 \| 0.0123 \| - \|
	\| 4.4205 \| 285000 \| 0.0047 \| - \|
	\| 4.4283 \| 285500 \| 0.003 \| - \|
	\| 4.4360 \| 286000 \| 0.0074 \| - \|
	\| 4.4438 \| 286500 \| 0.0056 \| - \|
	\| 4.4515 \| 287000 \| 0.0097 \| - \|
	\| 4.4593 \| 287500 \| 0.0077 \| - \|
	\| 4.4671 \| 288000 \| 0.0085 \| - \|
	\| 4.4748 \| 288500 \| 0.003 \| - \|
	\| 4.4826 \| 289000 \| 0.0071 \| - \|
	\| 4.4903 \| 289500 \| 0.0033 \| - \|
	\| 4.4981 \| 290000 \| 0.0042 \| - \|
	\| 4.5058 \| 290500 \| 0.0063 \| - \|
	\| 4.5136 \| 291000 \| 0.0046 \| - \|
	\| 4.5213 \| 291500 \| 0.0067 \| - \|
	\| 4.5291 \| 292000 \| 0.0057 \| - \|
	\| 4.5369 \| 292500 \| 0.0079 \| - \|
	\| 4.5446 \| 293000 \| 0.0031 \| - \|
	\| 4.5524 \| 293500 \| 0.0031 \| - \|
	\| 4.5601 \| 294000 \| 0.0056 \| - \|
	\| 4.5679 \| 294500 \| 0.0027 \| - \|
	\| 4.5756 \| 295000 \| 0.0017 \| - \|
	\| 4.5834 \| 295500 \| 0.0074 \| - \|
	\| 4.5911 \| 296000 \| 0.0064 \| - \|
	\| 4.5989 \| 296500 \| 0.0083 \| - \|
	\| 4.6067 \| 297000 \| 0.0047 \| - \|
	\| 4.6144 \| 297500 \| 0.004 \| - \|
	\| 4.6222 \| 298000 \| 0.0053 \| - \|
	\| 4.6299 \| 298500 \| 0.0082 \| - \|
	\| 4.6377 \| 299000 \| 0.0084 \| - \|
	\| 4.6454 \| 299500 \| 0.0057 \| - \|
	\| 4.6532 \| 300000 \| 0.0066 \| 0.7365 \|
	\| 4.6609 \| 300500 \| 0.0041 \| - \|
	\| 4.6687 \| 301000 \| 0.0051 \| - \|
	\| 4.6764 \| 301500 \| 0.0039 \| - \|
	\| 4.6842 \| 302000 \| 0.0041 \| - \|
	\| 4.6920 \| 302500 \| 0.0027 \| - \|
	\| 4.6997 \| 303000 \| 0.005 \| - \|
	\| 4.7075 \| 303500 \| 0.0059 \| - \|
	\| 4.7152 \| 304000 \| 0.0047 \| - \|
	\| 4.7230 \| 304500 \| 0.0055 \| - \|
	\| 4.7307 \| 305000 \| 0.0079 \| - \|
	\| 4.7385 \| 305500 \| 0.0079 \| - \|
	\| 4.7462 \| 306000 \| 0.0032 \| - \|
	\| 4.7540 \| 306500 \| 0.0059 \| - \|
	\| 4.7618 \| 307000 \| 0.0044 \| - \|
	\| 4.7695 \| 307500 \| 0.0028 \| - \|
	\| 4.7773 \| 308000 \| 0.0083 \| - \|
	\| 4.7850 \| 308500 \| 0.0064 \| - \|
	\| 4.7928 \| 309000 \| 0.0057 \| - \|
	\| 4.8005 \| 309500 \| 0.0055 \| - \|
	\| 4.8083 \| 310000 \| 0.0053 \| - \|
	\| 4.8160 \| 310500 \| 0.0034 \| - \|
	\| 4.8238 \| 311000 \| 0.0039 \| - \|
	\| 4.8316 \| 311500 \| 0.0056 \| - \|
	\| 4.8393 \| 312000 \| 0.0046 \| - \|
	\| 4.8471 \| 312500 \| 0.0039 \| - \|
	\| 4.8548 \| 313000 \| 0.0043 \| - \|
	\| 4.8626 \| 313500 \| 0.0052 \| - \|
	\| 4.8703 \| 314000 \| 0.0049 \| - \|
	\| 4.8781 \| 314500 \| 0.0045 \| - \|
	\| 4.8858 \| 315000 \| 0.0053 \| - \|
	\| 4.8936 \| 315500 \| 0.0056 \| - \|
	\| 4.9014 \| 316000 \| 0.0027 \| - \|
	\| 4.9091 \| 316500 \| 0.0042 \| - \|
	\| 4.9169 \| 317000 \| 0.005 \| - \|
	\| 4.9246 \| 317500 \| 0.0039 \| - \|
	\| 4.9324 \| 318000 \| 0.0027 \| - \|
	\| 4.9401 \| 318500 \| 0.004 \| - \|
	\| 4.9479 \| 319000 \| 0.0026 \| - \|
	\| 4.9556 \| 319500 \| 0.0025 \| - \|
	\| 4.9634 \| 320000 \| 0.0054 \| - \|
	\| 4.9712 \| 320500 \| 0.0073 \| - \|
	\| 4.9789 \| 321000 \| 0.0085 \| - \|
	\| 4.9867 \| 321500 \| 0.0029 \| - \|
	\| 4.9944 \| 322000 \| 0.0046 \| - \|
	\| 5.0 \| 322360 \| - \| 0.7515 \|
	\| 5.0022 \| 322500 \| 0.0052 \| - \|
	\| 5.0099 \| 323000 \| 0.0015 \| - \|
	\| 5.0177 \| 323500 \| 0.0022 \| - \|
	\| 5.0254 \| 324000 \| 0.0019 \| - \|
	\| 5.0332 \| 324500 \| 0.0026 \| - \|
	\| 5.0409 \| 325000 \| 0.0012 \| - \|
	\| 5.0487 \| 325500 \| 0.004 \| - \|
	\| 5.0565 \| 326000 \| 0.0031 \| - \|
	\| 5.0642 \| 326500 \| 0.0051 \| - \|
	\| 5.0720 \| 327000 \| 0.004 \| - \|
	\| 5.0797 \| 327500 \| 0.0043 \| - \|
	\| 5.0875 \| 328000 \| 0.0053 \| - \|
	\| 5.0952 \| 328500 \| 0.0014 \| - \|
	\| 5.1030 \| 329000 \| 0.0017 \| - \|
	\| 5.1107 \| 329500 \| 0.0038 \| - \|
	\| 5.1185 \| 330000 \| 0.0059 \| - \|
	\| 5.1263 \| 330500 \| 0.0039 \| - \|
	\| 5.1340 \| 331000 \| 0.0058 \| - \|
	\| 5.1418 \| 331500 \| 0.003 \| - \|
	\| 5.1495 \| 332000 \| 0.0044 \| - \|
	\| 5.1573 \| 332500 \| 0.0028 \| - \|
	\| 5.1650 \| 333000 \| 0.0039 \| - \|
	\| 5.1728 \| 333500 \| 0.0039 \| - \|
	\| 5.1805 \| 334000 \| 0.0018 \| - \|
	\| 5.1883 \| 334500 \| 0.0049 \| - \|
	\| 5.1961 \| 335000 \| 0.0026 \| - \|
	\| 5.2038 \| 335500 \| 0.0018 \| - \|
	\| 5.2116 \| 336000 \| 0.0049 \| - \|
	\| 5.2193 \| 336500 \| 0.0042 \| - \|
	\| 5.2271 \| 337000 \| 0.0051 \| - \|
	\| 5.2348 \| 337500 \| 0.005 \| - \|
	\| 5.2426 \| 338000 \| 0.0029 \| - \|
	\| 5.2503 \| 338500 \| 0.002 \| - \|
	\| 5.2581 \| 339000 \| 0.0025 \| - \|
	\| 5.2659 \| 339500 \| 0.003 \| - \|
	\| 5.2736 \| 340000 \| 0.002 \| - \|
	\| 5.2814 \| 340500 \| 0.0058 \| - \|
	\| 5.2891 \| 341000 \| 0.0061 \| - \|
	\| 5.2969 \| 341500 \| 0.0042 \| - \|
	\| 5.3046 \| 342000 \| 0.0025 \| - \|
	\| 5.3124 \| 342500 \| 0.0061 \| - \|
	\| 5.3201 \| 343000 \| 0.0024 \| - \|
	\| 5.3279 \| 343500 \| 0.0083 \| - \|
	\| 5.3356 \| 344000 \| 0.0013 \| - \|
	\| 5.3434 \| 344500 \| 0.003 \| - \|
	\| 5.3512 \| 345000 \| 0.001 \| - \|
	\| 5.3589 \| 345500 \| 0.0058 \| - \|
	\| 5.3667 \| 346000 \| 0.0021 \| - \|
	\| 5.3744 \| 346500 \| 0.0015 \| - \|
	\| 5.3822 \| 347000 \| 0.0018 \| - \|
	\| 5.3899 \| 347500 \| 0.0021 \| - \|
	\| 5.3977 \| 348000 \| 0.0029 \| - \|
	\| 5.4054 \| 348500 \| 0.0018 \| - \|
	\| 5.4132 \| 349000 \| 0.0036 \| - \|
	\| 5.4210 \| 349500 \| 0.0065 \| - \|
	\| 5.4287 \| 350000 \| 0.0052 \| 0.779 \|
	\| 5.4365 \| 350500 \| 0.0023 \| - \|
	\| 5.4442 \| 351000 \| 0.0093 \| - \|
	\| 5.4520 \| 351500 \| 0.0046 \| - \|
	\| 5.4597 \| 352000 \| 0.0009 \| - \|
	\| 5.4675 \| 352500 \| 0.0033 \| - \|
	\| 5.4752 \| 353000 \| 0.0053 \| - \|
	\| 5.4830 \| 353500 \| 0.004 \| - \|
	\| 5.4908 \| 354000 \| 0.0087 \| - \|
	\| 5.4985 \| 354500 \| 0.0021 \| - \|
	\| 5.5063 \| 355000 \| 0.0028 \| - \|
	\| 5.5140 \| 355500 \| 0.002 \| - \|
	\| 5.5218 \| 356000 \| 0.0013 \| - \|
	\| 5.5295 \| 356500 \| 0.003 \| - \|
	\| 5.5373 \| 357000 \| 0.0047 \| - \|
	\| 5.5450 \| 357500 \| 0.002 \| - \|
	\| 5.5528 \| 358000 \| 0.003 \| - \|
	\| 5.5606 \| 358500 \| 0.0037 \| - \|
	\| 5.5683 \| 359000 \| 0.0062 \| - \|
	\| 5.5761 \| 359500 \| 0.0025 \| - \|
	\| 5.5838 \| 360000 \| 0.0044 \| - \|
	\| 5.5916 \| 360500 \| 0.0085 \| - \|
	\| 5.5993 \| 361000 \| 0.0022 \| - \|
	\| 5.6071 \| 361500 \| 0.0063 \| - \|
	\| 5.6148 \| 362000 \| 0.0059 \| - \|
	\| 5.6226 \| 362500 \| 0.0089 \| - \|
	\| 5.6304 \| 363000 \| 0.0054 \| - \|
	\| 5.6381 \| 363500 \| 0.0082 \| - \|
	\| 5.6459 \| 364000 \| 0.0054 \| - \|
	\| 5.6536 \| 364500 \| 0.0022 \| - \|
	\| 5.6614 \| 365000 \| 0.0041 \| - \|
	\| 5.6691 \| 365500 \| 0.006 \| - \|
	\| 5.6769 \| 366000 \| 0.0065 \| - \|
	\| 5.6846 \| 366500 \| 0.0024 \| - \|
	\| 5.6924 \| 367000 \| 0.0021 \| - \|
	\| 5.7001 \| 367500 \| 0.0048 \| - \|
	\| 5.7079 \| 368000 \| 0.0054 \| - \|
	\| 5.7157 \| 368500 \| 0.0033 \| - \|
	\| 5.7234 \| 369000 \| 0.0014 \| - \|
	\| 5.7312 \| 369500 \| 0.0026 \| - \|
	\| 5.7389 \| 370000 \| 0.0042 \| - \|
	\| 5.7467 \| 370500 \| 0.0033 \| - \|
	\| 5.7544 \| 371000 \| 0.0096 \| - \|
	\| 5.7622 \| 371500 \| 0.0031 \| - \|
	\| 5.7699 \| 372000 \| 0.0044 \| - \|
	\| 5.7777 \| 372500 \| 0.0041 \| - \|
	\| 5.7855 \| 373000 \| 0.0024 \| - \|
	\| 5.7932 \| 373500 \| 0.0075 \| - \|
	\| 5.8010 \| 374000 \| 0.0031 \| - \|
	\| 5.8087 \| 374500 \| 0.0023 \| - \|
	\| 5.8165 \| 375000 \| 0.0045 \| - \|
	\| 5.8242 \| 375500 \| 0.0041 \| - \|
	\| 5.8320 \| 376000 \| 0.0063 \| - \|
	\| 5.8397 \| 376500 \| 0.0031 \| - \|
	\| 5.8475 \| 377000 \| 0.0066 \| - \|
	\| 5.8553 \| 377500 \| 0.0069 \| - \|
	\| 5.8630 \| 378000 \| 0.0039 \| - \|
	\| 5.8708 \| 378500 \| 0.0052 \| - \|
	\| 5.8785 \| 379000 \| 0.0024 \| - \|
	\| 5.8863 \| 379500 \| 0.0045 \| - \|
	\| 5.8940 \| 380000 \| 0.0017 \| - \|
	\| 5.9018 \| 380500 \| 0.0055 \| - \|
	\| 5.9095 \| 381000 \| 0.0028 \| - \|
	\| 5.9173 \| 381500 \| 0.0026 \| - \|
	\| 5.9251 \| 382000 \| 0.0026 \| - \|
	\| 5.9328 \| 382500 \| 0.0042 \| - \|
	\| 5.9406 \| 383000 \| 0.002 \| - \|
	\| 5.9483 \| 383500 \| 0.007 \| - \|
	\| 5.9561 \| 384000 \| 0.0064 \| - \|
	\| 5.9638 \| 384500 \| 0.0044 \| - \|
	\| 5.9716 \| 385000 \| 0.0058 \| - \|
	\| 5.9793 \| 385500 \| 0.0087 \| - \|
	\| 5.9871 \| 386000 \| 0.0045 \| - \|
	\| 5.9949 \| 386500 \| 0.0049 \| - \|
	\| 6.0 \| 386832 \| - \| 0.782 \|
	\| 6.0026 \| 387000 \| 0.0028 \| - \|
	\| 6.0104 \| 387500 \| 0.0083 \| - \|
	\| 6.0181 \| 388000 \| 0.0007 \| - \|
	\| 6.0259 \| 388500 \| 0.0023 \| - \|
	\| 6.0336 \| 389000 \| 0.0015 \| - \|
	\| 6.0414 \| 389500 \| 0.0023 \| - \|
	\| 6.0491 \| 390000 \| 0.0027 \| - \|
	\| 6.0569 \| 390500 \| 0.0029 \| - \|
	\| 6.0646 \| 391000 \| 0.0025 \| - \|
	\| 6.0724 \| 391500 \| 0.0032 \| - \|
	\| 6.0802 \| 392000 \| 0.0008 \| - \|
	\| 6.0879 \| 392500 \| 0.0025 \| - \|
	\| 6.0957 \| 393000 \| 0.0022 \| - \|
	\| 6.1034 \| 393500 \| 0.0047 \| - \|
	\| 6.1112 \| 394000 \| 0.0018 \| - \|
	\| 6.1189 \| 394500 \| 0.006 \| - \|
	\| 6.1267 \| 395000 \| 0.0047 \| - \|
	\| 6.1344 \| 395500 \| 0.0049 \| - \|
	\| 6.1422 \| 396000 \| 0.002 \| - \|
	\| 6.1500 \| 396500 \| 0.0039 \| - \|
	\| 6.1577 \| 397000 \| 0.0039 \| - \|
	\| 6.1655 \| 397500 \| 0.0076 \| - \|
	\| 6.1732 \| 398000 \| 0.0038 \| - \|
	\| 6.1810 \| 398500 \| 0.005 \| - \|
	\| 6.1887 \| 399000 \| 0.0019 \| - \|
	\| 6.1965 \| 399500 \| 0.0028 \| - \|
	\| 6.2042 \| 400000 \| 0.0015 \| 0.791 \|
	\| 6.2120 \| 400500 \| 0.003 \| - \|
	\| 6.2198 \| 401000 \| 0.0037 \| - \|
	\| 6.2275 \| 401500 \| 0.0027 \| - \|
	\| 6.2353 \| 402000 \| 0.005 \| - \|
	\| 6.2430 \| 402500 \| 0.0033 \| - \|
	\| 6.2508 \| 403000 \| 0.0035 \| - \|
	\| 6.2585 \| 403500 \| 0.0047 \| - \|
	\| 6.2663 \| 404000 \| 0.0021 \| - \|
	\| 6.2740 \| 404500 \| 0.0013 \| - \|
	\| 6.2818 \| 405000 \| 0.0032 \| - \|
	\| 6.2896 \| 405500 \| 0.001 \| - \|
	\| 6.2973 \| 406000 \| 0.0031 \| - \|
	\| 6.3051 \| 406500 \| 0.0034 \| - \|
	\| 6.3128 \| 407000 \| 0.0008 \| - \|
	\| 6.3206 \| 407500 \| 0.004 \| - \|
	\| 6.3283 \| 408000 \| 0.0034 \| - \|
	\| 6.3361 \| 408500 \| 0.0027 \| - \|
	\| 6.3438 \| 409000 \| 0.0011 \| - \|
	\| 6.3516 \| 409500 \| 0.0015 \| - \|
	\| 6.3593 \| 410000 \| 0.0029 \| - \|
	\| 6.3671 \| 410500 \| 0.0015 \| - \|
	\| 6.3749 \| 411000 \| 0.0013 \| - \|
	\| 6.3826 \| 411500 \| 0.0049 \| - \|
	\| 6.3904 \| 412000 \| 0.0047 \| - \|
	\| 6.3981 \| 412500 \| 0.0025 \| - \|
	\| 6.4059 \| 413000 \| 0.0024 \| - \|
	\| 6.4136 \| 413500 \| 0.0041 \| - \|
	\| 6.4214 \| 414000 \| 0.0026 \| - \|
	\| 6.4291 \| 414500 \| 0.0049 \| - \|
	\| 6.4369 \| 415000 \| 0.0021 \| - \|
	\| 6.4447 \| 415500 \| 0.0021 \| - \|
	\| 6.4524 \| 416000 \| 0.0032 \| - \|
	\| 6.4602 \| 416500 \| 0.0054 \| - \|
	\| 6.4679 \| 417000 \| 0.0019 \| - \|
	\| 6.4757 \| 417500 \| 0.0081 \| - \|
	\| 6.4834 \| 418000 \| 0.0033 \| - \|
	\| 6.4912 \| 418500 \| 0.0021 \| - \|
	\| 6.4989 \| 419000 \| 0.0043 \| - \|
	\| 6.5067 \| 419500 \| 0.0045 \| - \|
	\| 6.5145 \| 420000 \| 0.003 \| - \|
	\| 6.5222 \| 420500 \| 0.0028 \| - \|
	\| 6.5300 \| 421000 \| 0.0029 \| - \|
	\| 6.5377 \| 421500 \| 0.0025 \| - \|
	\| 6.5455 \| 422000 \| 0.002 \| - \|
	\| 6.5532 \| 422500 \| 0.0027 \| - \|
	\| 6.5610 \| 423000 \| 0.0022 \| - \|
	\| 6.5687 \| 423500 \| 0.0015 \| - \|
	\| 6.5765 \| 424000 \| 0.0024 \| - \|
	\| 6.5843 \| 424500 \| 0.0058 \| - \|
	\| 6.5920 \| 425000 \| 0.0026 \| - \|
	\| 6.5998 \| 425500 \| 0.0016 \| - \|
	\| 6.6075 \| 426000 \| 0.0029 \| - \|
	\| 6.6153 \| 426500 \| 0.0033 \| - \|
	\| 6.6230 \| 427000 \| 0.0024 \| - \|
	\| 6.6308 \| 427500 \| 0.0019 \| - \|
	\| 6.6385 \| 428000 \| 0.0058 \| - \|
	\| 6.6463 \| 428500 \| 0.0036 \| - \|
	\| 6.6541 \| 429000 \| 0.0026 \| - \|
	\| 6.6618 \| 429500 \| 0.0038 \| - \|
	\| 6.6696 \| 430000 \| 0.0025 \| - \|
	\| 6.6773 \| 430500 \| 0.0041 \| - \|
	\| 6.6851 \| 431000 \| 0.0022 \| - \|
	\| 6.6928 \| 431500 \| 0.0018 \| - \|
	\| 6.7006 \| 432000 \| 0.0043 \| - \|
	\| 6.7083 \| 432500 \| 0.0029 \| - \|
	\| 6.7161 \| 433000 \| 0.0056 \| - \|
	\| 6.7238 \| 433500 \| 0.003 \| - \|
	\| 6.7316 \| 434000 \| 0.0022 \| - \|
	\| 6.7394 \| 434500 \| 0.003 \| - \|
	\| 6.7471 \| 435000 \| 0.0016 \| - \|
	\| 6.7549 \| 435500 \| 0.0071 \| - \|
	\| 6.7626 \| 436000 \| 0.002 \| - \|
	\| 6.7704 \| 436500 \| 0.0033 \| - \|
	\| 6.7781 \| 437000 \| 0.0029 \| - \|
	\| 6.7859 \| 437500 \| 0.0017 \| - \|
	\| 6.7936 \| 438000 \| 0.0025 \| - \|
	\| 6.8014 \| 438500 \| 0.0029 \| - \|
	\| 6.8092 \| 439000 \| 0.0013 \| - \|
	\| 6.8169 \| 439500 \| 0.0023 \| - \|
	\| 6.8247 \| 440000 \| 0.0015 \| - \|
	\| 6.8324 \| 440500 \| 0.0037 \| - \|
	\| 6.8402 \| 441000 \| 0.0015 \| - \|
	\| 6.8479 \| 441500 \| 0.0014 \| - \|
	\| 6.8557 \| 442000 \| 0.0011 \| - \|
	\| 6.8634 \| 442500 \| 0.0038 \| - \|
	\| 6.8712 \| 443000 \| 0.0039 \| - \|
	\| 6.8790 \| 443500 \| 0.0028 \| - \|
	\| 6.8867 \| 444000 \| 0.0048 \| - \|
	\| 6.8945 \| 444500 \| 0.0042 \| - \|
	\| 6.9022 \| 445000 \| 0.0013 \| - \|
	\| 6.9100 \| 445500 \| 0.0027 \| - \|
	\| 6.9177 \| 446000 \| 0.0036 \| - \|
	\| 6.9255 \| 446500 \| 0.0028 \| - \|
	\| 6.9332 \| 447000 \| 0.0044 \| - \|
	\| 6.9410 \| 447500 \| 0.0016 \| - \|
	\| 6.9488 \| 448000 \| 0.0018 \| - \|
	\| 6.9565 \| 448500 \| 0.0036 \| - \|
	\| 6.9643 \| 449000 \| 0.0032 \| - \|
	\| 6.9720 \| 449500 \| 0.0044 \| - \|
	\| 6.9798 \| 450000 \| 0.0029 \| 0.79 \|
	\| 6.9875 \| 450500 \| 0.0016 \| - \|
	\| 6.9953 \| 451000 \| 0.0032 \| - \|
	\| 7.0 \| 451304 \| - \| 0.7915 \|
	\| 7.0030 \| 451500 \| 0.0038 \| - \|
	\| 7.0108 \| 452000 \| 0.0016 \| - \|
	\| 7.0186 \| 452500 \| 0.0018 \| - \|
	\| 7.0263 \| 453000 \| 0.0011 \| - \|
	\| 7.0341 \| 453500 \| 0.0009 \| - \|
	\| 7.0418 \| 454000 \| 0.0055 \| - \|
	\| 7.0496 \| 454500 \| 0.0027 \| - \|
	\| 7.0573 \| 455000 \| 0.0027 \| - \|
	\| 7.0651 \| 455500 \| 0.0034 \| - \|
	\| 7.0728 \| 456000 \| 0.0014 \| - \|
	\| 7.0806 \| 456500 \| 0.0031 \| - \|
	\| 7.0883 \| 457000 \| 0.0009 \| - \|
	\| 7.0961 \| 457500 \| 0.0023 \| - \|
	\| 7.1039 \| 458000 \| 0.0019 \| - \|
	\| 7.1116 \| 458500 \| 0.0054 \| - \|
	\| 7.1194 \| 459000 \| 0.0062 \| - \|
	\| 7.1271 \| 459500 \| 0.0007 \| - \|
	\| 7.1349 \| 460000 \| 0.0008 \| - \|
	\| 7.1426 \| 460500 \| 0.0034 \| - \|
	\| 7.1504 \| 461000 \| 0.0008 \| - \|
	\| 7.1581 \| 461500 \| 0.0008 \| - \|
	\| 7.1659 \| 462000 \| 0.004 \| - \|
	\| 7.1737 \| 462500 \| 0.0014 \| - \|
	\| 7.1814 \| 463000 \| 0.0012 \| - \|
	\| 7.1892 \| 463500 \| 0.0012 \| - \|
	\| 7.1969 \| 464000 \| 0.0019 \| - \|
	\| 7.2047 \| 464500 \| 0.0016 \| - \|
	\| 7.2124 \| 465000 \| 0.0053 \| - \|
	\| 7.2202 \| 465500 \| 0.0016 \| - \|
	\| 7.2279 \| 466000 \| 0.0008 \| - \|
	\| 7.2357 \| 466500 \| 0.0025 \| - \|
	\| 7.2435 \| 467000 \| 0.0009 \| - \|
	\| 7.2512 \| 467500 \| 0.0017 \| - \|
	\| 7.2590 \| 468000 \| 0.0009 \| - \|
	\| 7.2667 \| 468500 \| 0.0019 \| - \|
	\| 7.2745 \| 469000 \| 0.0033 \| - \|
	\| 7.2822 \| 469500 \| 0.0009 \| - \|
	\| 7.2900 \| 470000 \| 0.0019 \| - \|
	\| 7.2977 \| 470500 \| 0.0017 \| - \|
	\| 7.3055 \| 471000 \| 0.0024 \| - \|
	\| 7.3133 \| 471500 \| 0.0015 \| - \|
	\| 7.3210 \| 472000 \| 0.0011 \| - \|
	\| 7.3288 \| 472500 \| 0.0036 \| - \|
	\| 7.3365 \| 473000 \| 0.0005 \| - \|
	\| 7.3443 \| 473500 \| 0.0012 \| - \|
	\| 7.3520 \| 474000 \| 0.0027 \| - \|
	\| 7.3598 \| 474500 \| 0.0022 \| - \|
	\| 7.3675 \| 475000 \| 0.0003 \| - \|
	\| 7.3753 \| 475500 \| 0.0019 \| - \|
	\| 7.3831 \| 476000 \| 0.0019 \| - \|
	\| 7.3908 \| 476500 \| 0.002 \| - \|
	\| 7.3986 \| 477000 \| 0.0018 \| - \|
	\| 7.4063 \| 477500 \| 0.0026 \| - \|
	\| 7.4141 \| 478000 \| 0.0006 \| - \|
	\| 7.4218 \| 478500 \| 0.0028 \| - \|
	\| 7.4296 \| 479000 \| 0.0031 \| - \|
	\| 7.4373 \| 479500 \| 0.0057 \| - \|
	\| 7.4451 \| 480000 \| 0.0017 \| - \|
	\| 7.4528 \| 480500 \| 0.0016 \| - \|
	\| 7.4606 \| 481000 \| 0.0009 \| - \|
	\| 7.4684 \| 481500 \| 0.0005 \| - \|
	\| 7.4761 \| 482000 \| 0.0024 \| - \|
	\| 7.4839 \| 482500 \| 0.0058 \| - \|
	\| 7.4916 \| 483000 \| 0.0032 \| - \|
	\| 7.4994 \| 483500 \| 0.0021 \| - \|
	\| 7.5071 \| 484000 \| 0.0013 \| - \|
	\| 7.5149 \| 484500 \| 0.0023 \| - \|
	\| 7.5226 \| 485000 \| 0.0015 \| - \|
	\| 7.5304 \| 485500 \| 0.0037 \| - \|
	\| 7.5382 \| 486000 \| 0.002 \| - \|
	\| 7.5459 \| 486500 \| 0.0026 \| - \|
	\| 7.5537 \| 487000 \| 0.003 \| - \|
	\| 7.5614 \| 487500 \| 0.0049 \| - \|
	\| 7.5692 \| 488000 \| 0.0017 \| - \|
	\| 7.5769 \| 488500 \| 0.001 \| - \|
	\| 7.5847 \| 489000 \| 0.0015 \| - \|
	\| 7.5924 \| 489500 \| 0.0011 \| - \|
	\| 7.6002 \| 490000 \| 0.0016 \| - \|
	\| 7.6080 \| 490500 \| 0.004 \| - \|
	\| 7.6157 \| 491000 \| 0.0023 \| - \|
	\| 7.6235 \| 491500 \| 0.0024 \| - \|
	\| 7.6312 \| 492000 \| 0.0019 \| - \|
	\| 7.6390 \| 492500 \| 0.001 \| - \|
	\| 7.6467 \| 493000 \| 0.0018 \| - \|
	\| 7.6545 \| 493500 \| 0.0014 \| - \|
	\| 7.6622 \| 494000 \| 0.0003 \| - \|
	\| 7.6700 \| 494500 \| 0.0016 \| - \|
	\| 7.6778 \| 495000 \| 0.0009 \| - \|
	\| 7.6855 \| 495500 \| 0.0015 \| - \|
	\| 7.6933 \| 496000 \| 0.0023 \| - \|
	\| 7.7010 \| 496500 \| 0.001 \| - \|
	\| 7.7088 \| 497000 \| 0.0017 \| - \|
	\| 7.7165 \| 497500 \| 0.0032 \| - \|
	\| 7.7243 \| 498000 \| 0.0018 \| - \|
	\| 7.7320 \| 498500 \| 0.0038 \| - \|
	\| 7.7398 \| 499000 \| 0.0013 \| - \|
	\| 7.7475 \| 499500 \| 0.0018 \| - \|
	\| 7.7553 \| 500000 \| 0.0014 \| 0.822 \|
	\| 7.7631 \| 500500 \| 0.0017 \| - \|
	\| 7.7708 \| 501000 \| 0.0009 \| - \|
	\| 7.7786 \| 501500 \| 0.0024 \| - \|
	\| 7.7863 \| 502000 \| 0.0007 \| - \|
	\| 7.7941 \| 502500 \| 0.0023 \| - \|
	\| 7.8018 \| 503000 \| 0.0022 \| - \|
	\| 7.8096 \| 503500 \| 0.0018 \| - \|
	\| 7.8173 \| 504000 \| 0.0025 \| - \|
	\| 7.8251 \| 504500 \| 0.0044 \| - \|
	\| 7.8329 \| 505000 \| 0.0019 \| - \|
	\| 7.8406 \| 505500 \| 0.0009 \| - \|
	\| 7.8484 \| 506000 \| 0.0026 \| - \|
	\| 7.8561 \| 506500 \| 0.0007 \| - \|
	\| 7.8639 \| 507000 \| 0.0018 \| - \|
	\| 7.8716 \| 507500 \| 0.0013 \| - \|
	\| 7.8794 \| 508000 \| 0.0024 \| - \|
	\| 7.8871 \| 508500 \| 0.0025 \| - \|
	\| 7.8949 \| 509000 \| 0.0014 \| - \|
	\| 7.9027 \| 509500 \| 0.0009 \| - \|
	\| 7.9104 \| 510000 \| 0.0017 \| - \|
	\| 7.9182 \| 510500 \| 0.005 \| - \|
	\| 7.9259 \| 511000 \| 0.0012 \| - \|
	\| 7.9337 \| 511500 \| 0.0007 \| - \|
	\| 7.9414 \| 512000 \| 0.0015 \| - \|
	\| 7.9492 \| 512500 \| 0.0024 \| - \|
	\| 7.9569 \| 513000 \| 0.0011 \| - \|
	\| 7.9647 \| 513500 \| 0.001 \| - \|
	\| 7.9725 \| 514000 \| 0.0028 \| - \|
	\| 7.9802 \| 514500 \| 0.0017 \| - \|
	\| 7.9880 \| 515000 \| 0.0006 \| - \|
	\| 7.9957 \| 515500 \| 0.0039 \| - \|
	\| 8.0 \| 515776 \| - \| 0.8215 \|
	\| 8.0035 \| 516000 \| 0.0012 \| - \|
	\| 8.0112 \| 516500 \| 0.0017 \| - \|
	\| 8.0190 \| 517000 \| 0.0025 \| - \|
	\| 8.0267 \| 517500 \| 0.0005 \| - \|
	\| 8.0345 \| 518000 \| 0.0034 \| - \|
	\| 8.0423 \| 518500 \| 0.0008 \| - \|
	\| 8.0500 \| 519000 \| 0.005 \| - \|
	\| 8.0578 \| 519500 \| 0.0022 \| - \|
	\| 8.0655 \| 520000 \| 0.0006 \| - \|
	\| 8.0733 \| 520500 \| 0.0015 \| - \|
	\| 8.0810 \| 521000 \| 0.0008 \| - \|
	\| 8.0888 \| 521500 \| 0.0012 \| - \|
	\| 8.0965 \| 522000 \| 0.0007 \| - \|
	\| 8.1043 \| 522500 \| 0.0004 \| - \|
	\| 8.1120 \| 523000 \| 0.0019 \| - \|
	\| 8.1198 \| 523500 \| 0.0017 \| - \|
	\| 8.1276 \| 524000 \| 0.0008 \| - \|
	\| 8.1353 \| 524500 \| 0.0042 \| - \|
	\| 8.1431 \| 525000 \| 0.0019 \| - \|
	\| 8.1508 \| 525500 \| 0.0007 \| - \|
	\| 8.1586 \| 526000 \| 0.0019 \| - \|
	\| 8.1663 \| 526500 \| 0.003 \| - \|
	\| 8.1741 \| 527000 \| 0.0008 \| - \|
	\| 8.1818 \| 527500 \| 0.0012 \| - \|
	\| 8.1896 \| 528000 \| 0.0007 \| - \|
	\| 8.1974 \| 528500 \| 0.0024 \| - \|
	\| 8.2051 \| 529000 \| 0.0018 \| - \|
	\| 8.2129 \| 529500 \| 0.0026 \| - \|
	\| 8.2206 \| 530000 \| 0.0007 \| - \|
	\| 8.2284 \| 530500 \| 0.003 \| - \|
	\| 8.2361 \| 531000 \| 0.0023 \| - \|
	\| 8.2439 \| 531500 \| 0.0009 \| - \|
	\| 8.2516 \| 532000 \| 0.0014 \| - \|
	\| 8.2594 \| 532500 \| 0.0009 \| - \|
	\| 8.2672 \| 533000 \| 0.0013 \| - \|
	\| 8.2749 \| 533500 \| 0.0032 \| - \|
	\| 8.2827 \| 534000 \| 0.0025 \| - \|
	\| 8.2904 \| 534500 \| 0.0011 \| - \|
	\| 8.2982 \| 535000 \| 0.0045 \| - \|
	\| 8.3059 \| 535500 \| 0.0015 \| - \|
	\| 8.3137 \| 536000 \| 0.0008 \| - \|
	\| 8.3214 \| 536500 \| 0.0023 \| - \|
	\| 8.3292 \| 537000 \| 0.0041 \| - \|
	\| 8.3370 \| 537500 \| 0.0023 \| - \|
	\| 8.3447 \| 538000 \| 0.0027 \| - \|
	\| 8.3525 \| 538500 \| 0.004 \| - \|
	\| 8.3602 \| 539000 \| 0.0018 \| - \|
	\| 8.3680 \| 539500 \| 0.0037 \| - \|
	\| 8.3757 \| 540000 \| 0.0014 \| - \|
	\| 8.3835 \| 540500 \| 0.0008 \| - \|
	\| 8.3912 \| 541000 \| 0.0006 \| - \|
	\| 8.3990 \| 541500 \| 0.0009 \| - \|
	\| 8.4068 \| 542000 \| 0.0016 \| - \|
	\| 8.4145 \| 542500 \| 0.0012 \| - \|
	\| 8.4223 \| 543000 \| 0.0012 \| - \|
	\| 8.4300 \| 543500 \| 0.0008 \| - \|
	\| 8.4378 \| 544000 \| 0.002 \| - \|
	\| 8.4455 \| 544500 \| 0.0005 \| - \|
	\| 8.4533 \| 545000 \| 0.0013 \| - \|
	\| 8.4610 \| 545500 \| 0.0004 \| - \|
	\| 8.4688 \| 546000 \| 0.0024 \| - \|
	\| 8.4765 \| 546500 \| 0.0021 \| - \|
	\| 8.4843 \| 547000 \| 0.0017 \| - \|
	\| 8.4921 \| 547500 \| 0.0033 \| - \|
	\| 8.4998 \| 548000 \| 0.0036 \| - \|
	\| 8.5076 \| 548500 \| 0.0015 \| - \|
	\| 8.5153 \| 549000 \| 0.001 \| - \|
	\| 8.5231 \| 549500 \| 0.0037 \| - \|
	\| 8.5308 \| 550000 \| 0.0011 \| 0.824 \|
	\| 8.5386 \| 550500 \| 0.0014 \| - \|
	\| 8.5463 \| 551000 \| 0.0026 \| - \|
	\| 8.5541 \| 551500 \| 0.0017 \| - \|
	\| 8.5619 \| 552000 \| 0.0021 \| - \|
	\| 8.5696 \| 552500 \| 0.0014 \| - \|
	\| 8.5774 \| 553000 \| 0.0015 \| - \|
	\| 8.5851 \| 553500 \| 0.0025 \| - \|
	\| 8.5929 \| 554000 \| 0.001 \| - \|
	\| 8.6006 \| 554500 \| 0.001 \| - \|
	\| 8.6084 \| 555000 \| 0.0016 \| - \|
	\| 8.6161 \| 555500 \| 0.0011 \| - \|
	\| 8.6239 \| 556000 \| 0.0018 \| - \|
	\| 8.6317 \| 556500 \| 0.0012 \| - \|
	\| 8.6394 \| 557000 \| 0.002 \| - \|
	\| 8.6472 \| 557500 \| 0.0007 \| - \|
	\| 8.6549 \| 558000 \| 0.0005 \| - \|
	\| 8.6627 \| 558500 \| 0.0013 \| - \|
	\| 8.6704 \| 559000 \| 0.0046 \| - \|
	\| 8.6782 \| 559500 \| 0.001 \| - \|
	\| 8.6859 \| 560000 \| 0.0015 \| - \|
	\| 8.6937 \| 560500 \| 0.0012 \| - \|
	\| 8.7015 \| 561000 \| 0.0011 \| - \|
	\| 8.7092 \| 561500 \| 0.0012 \| - \|
	\| 8.7170 \| 562000 \| 0.0005 \| - \|
	\| 8.7247 \| 562500 \| 0.0014 \| - \|
	\| 8.7325 \| 563000 \| 0.0004 \| - \|
	\| 8.7402 \| 563500 \| 0.0009 \| - \|
	\| 8.7480 \| 564000 \| 0.0022 \| - \|
	\| 8.7557 \| 564500 \| 0.0005 \| - \|
	\| 8.7635 \| 565000 \| 0.0037 \| - \|
	\| 8.7712 \| 565500 \| 0.0003 \| - \|
	\| 8.7790 \| 566000 \| 0.0023 \| - \|
	\| 8.7868 \| 566500 \| 0.0008 \| - \|
	\| 8.7945 \| 567000 \| 0.0007 \| - \|
	\| 8.8023 \| 567500 \| 0.0025 \| - \|
	\| 8.8100 \| 568000 \| 0.0018 \| - \|
	\| 8.8178 \| 568500 \| 0.0056 \| - \|
	\| 8.8255 \| 569000 \| 0.0014 \| - \|
	\| 8.8333 \| 569500 \| 0.0008 \| - \|
	\| 8.8410 \| 570000 \| 0.0007 \| - \|
	\| 8.8488 \| 570500 \| 0.0039 \| - \|
	\| 8.8566 \| 571000 \| 0.0012 \| - \|
	\| 8.8643 \| 571500 \| 0.0013 \| - \|
	\| 8.8721 \| 572000 \| 0.0017 \| - \|
	\| 8.8798 \| 572500 \| 0.0009 \| - \|
	\| 8.8876 \| 573000 \| 0.0009 \| - \|
	\| 8.8953 \| 573500 \| 0.0008 \| - \|
	\| 8.9031 \| 574000 \| 0.002 \| - \|
	\| 8.9108 \| 574500 \| 0.001 \| - \|
	\| 8.9186 \| 575000 \| 0.0005 \| - \|
	\| 8.9264 \| 575500 \| 0.0011 \| - \|
	\| 8.9341 \| 576000 \| 0.0009 \| - \|
	\| 8.9419 \| 576500 \| 0.0024 \| - \|
	\| 8.9496 \| 577000 \| 0.0017 \| - \|
	\| 8.9574 \| 577500 \| 0.0023 \| - \|
	\| 8.9651 \| 578000 \| 0.0033 \| - \|
	\| 8.9729 \| 578500 \| 0.0029 \| - \|
	\| 8.9806 \| 579000 \| 0.0015 \| - \|
	\| 8.9884 \| 579500 \| 0.0018 \| - \|
	\| 8.9962 \| 580000 \| 0.0013 \| - \|
	\| 9.0 \| 580248 \| - \| 0.842 \|
	\| 9.0039 \| 580500 \| 0.0004 \| - \|
	\| 9.0117 \| 581000 \| 0.0011 \| - \|
	\| 9.0194 \| 581500 \| 0.0016 \| - \|
	\| 9.0272 \| 582000 \| 0.0018 \| - \|
	\| 9.0349 \| 582500 \| 0.001 \| - \|
	\| 9.0427 \| 583000 \| 0.0013 \| - \|
	\| 9.0504 \| 583500 \| 0.0014 \| - \|
	\| 9.0582 \| 584000 \| 0.0007 \| - \|
	\| 9.0660 \| 584500 \| 0.0027 \| - \|
	\| 9.0737 \| 585000 \| 0.0006 \| - \|
	\| 9.0815 \| 585500 \| 0.002 \| - \|
	\| 9.0892 \| 586000 \| 0.0011 \| - \|
	\| 9.0970 \| 586500 \| 0.0005 \| - \|
	\| 9.1047 \| 587000 \| 0.0015 \| - \|
	\| 9.1125 \| 587500 \| 0.0004 \| - \|
	\| 9.1202 \| 588000 \| 0.0006 \| - \|
	\| 9.1280 \| 588500 \| 0.004 \| - \|
	\| 9.1357 \| 589000 \| 0.0014 \| - \|
	\| 9.1435 \| 589500 \| 0.0013 \| - \|
	\| 9.1513 \| 590000 \| 0.0016 \| - \|
	\| 9.1590 \| 590500 \| 0.0005 \| - \|
	\| 9.1668 \| 591000 \| 0.001 \| - \|
	\| 9.1745 \| 591500 \| 0.0032 \| - \|
	\| 9.1823 \| 592000 \| 0.0038 \| - \|
	\| 9.1900 \| 592500 \| 0.0008 \| - \|
	\| 9.1978 \| 593000 \| 0.0021 \| - \|
	\| 9.2055 \| 593500 \| 0.0003 \| - \|
	\| 9.2133 \| 594000 \| 0.0002 \| - \|
	\| 9.2211 \| 594500 \| 0.0006 \| - \|
	\| 9.2288 \| 595000 \| 0.0008 \| - \|
	\| 9.2366 \| 595500 \| 0.0005 \| - \|
	\| 9.2443 \| 596000 \| 0.0014 \| - \|
	\| 9.2521 \| 596500 \| 0.0022 \| - \|
	\| 9.2598 \| 597000 \| 0.0009 \| - \|
	\| 9.2676 \| 597500 \| 0.0033 \| - \|
	\| 9.2753 \| 598000 \| 0.0014 \| - \|
	\| 9.2831 \| 598500 \| 0.0011 \| - \|
	\| 9.2909 \| 599000 \| 0.0007 \| - \|
	\| 9.2986 \| 599500 \| 0.0007 \| - \|
	\| 9.3064 \| 600000 \| 0.0006 \| 0.845 \|
	\| 9.3141 \| 600500 \| 0.0012 \| - \|
	\| 9.3219 \| 601000 \| 0.0007 \| - \|
	\| 9.3296 \| 601500 \| 0.0022 \| - \|
	\| 9.3374 \| 602000 \| 0.0017 \| - \|
	\| 9.3451 \| 602500 \| 0.0006 \| - \|
	\| 9.3529 \| 603000 \| 0.0004 \| - \|
	\| 9.3607 \| 603500 \| 0.0013 \| - \|
	\| 9.3684 \| 604000 \| 0.0009 \| - \|
	\| 9.3762 \| 604500 \| 0.0003 \| - \|
	\| 9.3839 \| 605000 \| 0.0018 \| - \|
	\| 9.3917 \| 605500 \| 0.0008 \| - \|
	\| 9.3994 \| 606000 \| 0.0013 \| - \|
	\| 9.4072 \| 606500 \| 0.0007 \| - \|
	\| 9.4149 \| 607000 \| 0.0006 \| - \|
	\| 9.4227 \| 607500 \| 0.0013 \| - \|
	\| 9.4305 \| 608000 \| 0.0004 \| - \|
	\| 9.4382 \| 608500 \| 0.0004 \| - \|
	\| 9.4460 \| 609000 \| 0.001 \| - \|
	\| 9.4537 \| 609500 \| 0.001 \| - \|
	\| 9.4615 \| 610000 \| 0.0006 \| - \|
	\| 9.4692 \| 610500 \| 0.0008 \| - \|
	\| 9.4770 \| 611000 \| 0.0017 \| - \|
	\| 9.4847 \| 611500 \| 0.0005 \| - \|
	\| 9.4925 \| 612000 \| 0.0012 \| - \|
	\| 9.5002 \| 612500 \| 0.0007 \| - \|
	\| 9.5080 \| 613000 \| 0.0009 \| - \|
	\| 9.5158 \| 613500 \| 0.0012 \| - \|
	\| 9.5235 \| 614000 \| 0.0019 \| - \|
	\| 9.5313 \| 614500 \| 0.001 \| - \|
	\| 9.5390 \| 615000 \| 0.0002 \| - \|
	\| 9.5468 \| 615500 \| 0.0048 \| - \|
	\| 9.5545 \| 616000 \| 0.0014 \| - \|
	\| 9.5623 \| 616500 \| 0.0004 \| - \|
	\| 9.5700 \| 617000 \| 0.0011 \| - \|
	\| 9.5778 \| 617500 \| 0.0014 \| - \|
	\| 9.5856 \| 618000 \| 0.0017 \| - \|
	\| 9.5933 \| 618500 \| 0.0015 \| - \|
	\| 9.6011 \| 619000 \| 0.0017 \| - \|
	\| 9.6088 \| 619500 \| 0.0014 \| - \|
	\| 9.6166 \| 620000 \| 0.0006 \| - \|
	\| 9.6243 \| 620500 \| 0.0009 \| - \|
	\| 9.6321 \| 621000 \| 0.0011 \| - \|
	\| 9.6398 \| 621500 \| 0.0002 \| - \|
	\| 9.6476 \| 622000 \| 0.0018 \| - \|
	\| 9.6554 \| 622500 \| 0.0012 \| - \|
	\| 9.6631 \| 623000 \| 0.0018 \| - \|
	\| 9.6709 \| 623500 \| 0.0006 \| - \|
	\| 9.6786 \| 624000 \| 0.0022 \| - \|
	\| 9.6864 \| 624500 \| 0.0003 \| - \|
	\| 9.6941 \| 625000 \| 0.0035 \| - \|
	\| 9.7019 \| 625500 \| 0.0021 \| - \|
	\| 9.7096 \| 626000 \| 0.003 \| - \|
	\| 9.7174 \| 626500 \| 0.0005 \| - \|
	\| 9.7252 \| 627000 \| 0.0009 \| - \|
	\| 9.7329 \| 627500 \| 0.001 \| - \|
	\| 9.7407 \| 628000 \| 0.0005 \| - \|
	\| 9.7484 \| 628500 \| 0.0007 \| - \|
	\| 9.7562 \| 629000 \| 0.0019 \| - \|
	\| 9.7639 \| 629500 \| 0.0017 \| - \|
	\| 9.7717 \| 630000 \| 0.0016 \| - \|
	\| 9.7794 \| 630500 \| 0.0003 \| - \|
	\| 9.7872 \| 631000 \| 0.002 \| - \|
	\| 9.7949 \| 631500 \| 0.0007 \| - \|
	\| 9.8027 \| 632000 \| 0.0002 \| - \|
	\| 9.8105 \| 632500 \| 0.0008 \| - \|
	\| 9.8182 \| 633000 \| 0.0006 \| - \|
	\| 9.8260 \| 633500 \| 0.0005 \| - \|
	\| 9.8337 \| 634000 \| 0.0005 \| - \|
	\| 9.8415 \| 634500 \| 0.0007 \| - \|
	\| 9.8492 \| 635000 \| 0.0019 \| - \|
	\| 9.8570 \| 635500 \| 0.0016 \| - \|
	\| 9.8647 \| 636000 \| 0.0027 \| - \|
	\| 9.8725 \| 636500 \| 0.0018 \| - \|
	\| 9.8803 \| 637000 \| 0.0005 \| - \|
	\| 9.8880 \| 637500 \| 0.0008 \| - \|
	\| 9.8958 \| 638000 \| 0.0007 \| - \|
	\| 9.9035 \| 638500 \| 0.0014 \| - \|
	\| 9.9113 \| 639000 \| 0.0011 \| - \|
	\| 9.9190 \| 639500 \| 0.001 \| - \|
	\| 9.9268 \| 640000 \| 0.0011 \| - \|
	\| 9.9345 \| 640500 \| 0.0012 \| - \|
	\| 9.9423 \| 641000 \| 0.0019 \| - \|
	\| 9.9501 \| 641500 \| 0.0014 \| - \|
	\| 9.9578 \| 642000 \| 0.0007 \| - \|
	\| 9.9656 \| 642500 \| 0.0006 \| - \|
	\| 9.9733 \| 643000 \| 0.0007 \| - \|
	\| 9.9811 \| 643500 \| 0.0052 \| - \|
	\| 9.9888 \| 644000 \| 0.0002 \| - \|
	\| 9.9966 \| 644500 \| 0.0013 \| - \|
	\| 10.0 \| 644720 \| - \| 0.848 \|
	\| 10.0043 \| 645000 \| 0.0011 \| - \|
	\| 10.0121 \| 645500 \| 0.0003 \| - \|
	\| 10.0199 \| 646000 \| 0.0014 \| - \|
	\| 10.0276 \| 646500 \| 0.0006 \| - \|
	\| 10.0354 \| 647000 \| 0.0018 \| - \|
	\| 10.0431 \| 647500 \| 0.0005 \| - \|
	\| 10.0509 \| 648000 \| 0.0007 \| - \|
	\| 10.0586 \| 648500 \| 0.0005 \| - \|
	\| 10.0664 \| 649000 \| 0.0015 \| - \|
	\| 10.0741 \| 649500 \| 0.0004 \| - \|
	\| 10.0819 \| 650000 \| 0.001 \| 0.852 \|
	\| 10.0897 \| 650500 \| 0.0006 \| - \|
	\| 10.0974 \| 651000 \| 0.001 \| - \|
	\| 10.1052 \| 651500 \| 0.004 \| - \|
	\| 10.1129 \| 652000 \| 0.0013 \| - \|
	\| 10.1207 \| 652500 \| 0.0011 \| - \|
	\| 10.1284 \| 653000 \| 0.0004 \| - \|
	\| 10.1362 \| 653500 \| 0.0003 \| - \|
	\| 10.1439 \| 654000 \| 0.0003 \| - \|
	\| 10.1517 \| 654500 \| 0.0009 \| - \|
	\| 10.1594 \| 655000 \| 0.0006 \| - \|
	\| 10.1672 \| 655500 \| 0.0004 \| - \|
	\| 10.1750 \| 656000 \| 0.0003 \| - \|
	\| 10.1827 \| 656500 \| 0.0003 \| - \|
	\| 10.1905 \| 657000 \| 0.0003 \| - \|
	\| 10.1982 \| 657500 \| 0.0002 \| - \|
	\| 10.2060 \| 658000 \| 0.0005 \| - \|
	\| 10.2137 \| 658500 \| 0.0006 \| - \|
	\| 10.2215 \| 659000 \| 0.0008 \| - \|
	\| 10.2292 \| 659500 \| 0.0028 \| - \|
	\| 10.2370 \| 660000 \| 0.0035 \| - \|
	\| 10.2448 \| 660500 \| 0.001 \| - \|
	\| 10.2525 \| 661000 \| 0.0007 \| - \|
	\| 10.2603 \| 661500 \| 0.0003 \| - \|
	\| 10.2680 \| 662000 \| 0.0006 \| - \|
	\| 10.2758 \| 662500 \| 0.0006 \| - \|
	\| 10.2835 \| 663000 \| 0.0007 \| - \|
	\| 10.2913 \| 663500 \| 0.0003 \| - \|
	\| 10.2990 \| 664000 \| 0.001 \| - \|
	\| 10.3068 \| 664500 \| 0.0023 \| - \|
	\| 10.3146 \| 665000 \| 0.0012 \| - \|
	\| 10.3223 \| 665500 \| 0.0071 \| - \|
	\| 10.3301 \| 666000 \| 0.0027 \| - \|
	\| 10.3378 \| 666500 \| 0.0008 \| - \|
	\| 10.3456 \| 667000 \| 0.0019 \| - \|
	\| 10.3533 \| 667500 \| 0.0007 \| - \|
	\| 10.3611 \| 668000 \| 0.0008 \| - \|
	\| 10.3688 \| 668500 \| 0.0008 \| - \|
	\| 10.3766 \| 669000 \| 0.0008 \| - \|
	\| 10.3844 \| 669500 \| 0.0009 \| - \|
	\| 10.3921 \| 670000 \| 0.0002 \| - \|
	\| 10.3999 \| 670500 \| 0.0019 \| - \|
	\| 10.4076 \| 671000 \| 0.0014 \| - \|
	\| 10.4154 \| 671500 \| 0.0015 \| - \|
	\| 10.4231 \| 672000 \| 0.0017 \| - \|
	\| 10.4309 \| 672500 \| 0.0033 \| - \|
	\| 10.4386 \| 673000 \| 0.0024 \| - \|
	\| 10.4464 \| 673500 \| 0.0006 \| - \|
	\| 10.4542 \| 674000 \| 0.0003 \| - \|
	\| 10.4619 \| 674500 \| 0.0003 \| - \|
	\| 10.4697 \| 675000 \| 0.0008 \| - \|
	\| 10.4774 \| 675500 \| 0.0005 \| - \|
	\| 10.4852 \| 676000 \| 0.0008 \| - \|
	\| 10.4929 \| 676500 \| 0.0008 \| - \|
	\| 10.5007 \| 677000 \| 0.0005 \| - \|
	\| 10.5084 \| 677500 \| 0.0004 \| - \|
	\| 10.5162 \| 678000 \| 0.0005 \| - \|
	\| 10.5239 \| 678500 \| 0.0012 \| - \|
	\| 10.5317 \| 679000 \| 0.0005 \| - \|
	\| 10.5395 \| 679500 \| 0.0002 \| - \|
	\| 10.5472 \| 680000 \| 0.0004 \| - \|
	\| 10.5550 \| 680500 \| 0.0038 \| - \|
	\| 10.5627 \| 681000 \| 0.0052 \| - \|
	\| 10.5705 \| 681500 \| 0.0013 \| - \|
	\| 10.5782 \| 682000 \| 0.0006 \| - \|
	\| 10.5860 \| 682500 \| 0.0005 \| - \|
	\| 10.5937 \| 683000 \| 0.0007 \| - \|
	\| 10.6015 \| 683500 \| 0.0009 \| - \|
	\| 10.6093 \| 684000 \| 0.002 \| - \|
	\| 10.6170 \| 684500 \| 0.0014 \| - \|
	\| 10.6248 \| 685000 \| 0.0009 \| - \|
	\| 10.6325 \| 685500 \| 0.0004 \| - \|
	\| 10.6403 \| 686000 \| 0.0005 \| - \|
	\| 10.6480 \| 686500 \| 0.0022 \| - \|
	\| 10.6558 \| 687000 \| 0.0014 \| - \|
	\| 10.6635 \| 687500 \| 0.0003 \| - \|
	\| 10.6713 \| 688000 \| 0.0003 \| - \|
	\| 10.6791 \| 688500 \| 0.0013 \| - \|
	\| 10.6868 \| 689000 \| 0.0006 \| - \|
	\| 10.6946 \| 689500 \| 0.0015 \| - \|
	\| 10.7023 \| 690000 \| 0.0004 \| - \|
	\| 10.7101 \| 690500 \| 0.0002 \| - \|
	\| 10.7178 \| 691000 \| 0.002 \| - \|
	\| 10.7256 \| 691500 \| 0.0004 \| - \|
	\| 10.7333 \| 692000 \| 0.0003 \| - \|
	\| 10.7411 \| 692500 \| 0.0003 \| - \|
	\| 10.7489 \| 693000 \| 0.0004 \| - \|
	\| 10.7566 \| 693500 \| 0.0059 \| - \|
	\| 10.7644 \| 694000 \| 0.0005 \| - \|
	\| 10.7721 \| 694500 \| 0.002 \| - \|
	\| 10.7799 \| 695000 \| 0.0004 \| - \|
	\| 10.7876 \| 695500 \| 0.0008 \| - \|
	\| 10.7954 \| 696000 \| 0.0005 \| - \|
	\| 10.8031 \| 696500 \| 0.0011 \| - \|
	\| 10.8109 \| 697000 \| 0.0005 \| - \|
	\| 10.8186 \| 697500 \| 0.0007 \| - \|
	\| 10.8264 \| 698000 \| 0.0026 \| - \|
	\| 10.8342 \| 698500 \| 0.0004 \| - \|
	\| 10.8419 \| 699000 \| 0.0017 \| - \|
	\| 10.8497 \| 699500 \| 0.0013 \| - \|
	\| 10.8574 \| 700000 \| 0.0007 \| 0.855 \|
	\| 10.8652 \| 700500 \| 0.0013 \| - \|
	\| 10.8729 \| 701000 \| 0.0012 \| - \|
	\| 10.8807 \| 701500 \| 0.0011 \| - \|
	\| 10.8884 \| 702000 \| 0.0012 \| - \|
	\| 10.8962 \| 702500 \| 0.0008 \| - \|
	\| 10.9040 \| 703000 \| 0.0004 \| - \|
	\| 10.9117 \| 703500 \| 0.0002 \| - \|
	\| 10.9195 \| 704000 \| 0.0005 \| - \|
	\| 10.9272 \| 704500 \| 0.0018 \| - \|
	\| 10.9350 \| 705000 \| 0.0008 \| - \|
	\| 10.9427 \| 705500 \| 0.0014 \| - \|
	\| 10.9505 \| 706000 \| 0.0016 \| - \|
	\| 10.9582 \| 706500 \| 0.0005 \| - \|
	\| 10.9660 \| 707000 \| 0.0022 \| - \|
	\| 10.9738 \| 707500 \| 0.0008 \| - \|
	\| 10.9815 \| 708000 \| 0.0006 \| - \|
	\| 10.9893 \| 708500 \| 0.0009 \| - \|
	\| 10.9970 \| 709000 \| 0.0003 \| - \|
	\| 11.0 \| 709192 \| - \| 0.8655 \|
	\| 11.0048 \| 709500 \| 0.0008 \| - \|
	\| 11.0125 \| 710000 \| 0.0007 \| - \|
	\| 11.0203 \| 710500 \| 0.0007 \| - \|
	\| 11.0280 \| 711000 \| 0.0007 \| - \|
	\| 11.0358 \| 711500 \| 0.0011 \| - \|
	\| 11.0436 \| 712000 \| 0.0008 \| - \|
	\| 11.0513 \| 712500 \| 0.0004 \| - \|
	\| 11.0591 \| 713000 \| 0.0005 \| - \|
	\| 11.0668 \| 713500 \| 0.0034 \| - \|
	\| 11.0746 \| 714000 \| 0.0002 \| - \|
	\| 11.0823 \| 714500 \| 0.0024 \| - \|
	\| 11.0901 \| 715000 \| 0.0004 \| - \|
	\| 11.0978 \| 715500 \| 0.0019 \| - \|
	\| 11.1056 \| 716000 \| 0.0005 \| - \|
	\| 11.1134 \| 716500 \| 0.0014 \| - \|
	\| 11.1211 \| 717000 \| 0.0009 \| - \|
	\| 11.1289 \| 717500 \| 0.0003 \| - \|
	\| 11.1366 \| 718000 \| 0.0004 \| - \|
	\| 11.1444 \| 718500 \| 0.0003 \| - \|
	\| 11.1521 \| 719000 \| 0.0012 \| - \|
	\| 11.1599 \| 719500 \| 0.0003 \| - \|
	\| 11.1676 \| 720000 \| 0.0006 \| - \|
	\| 11.1754 \| 720500 \| 0.0003 \| - \|
	\| 11.1831 \| 721000 \| 0.0009 \| - \|
	\| 11.1909 \| 721500 \| 0.0006 \| - \|
	\| 11.1987 \| 722000 \| 0.0004 \| - \|
	\| 11.2064 \| 722500 \| 0.0008 \| - \|
	\| 11.2142 \| 723000 \| 0.0023 \| - \|
	\| 11.2219 \| 723500 \| 0.0006 \| - \|
	\| 11.2297 \| 724000 \| 0.0005 \| - \|
	\| 11.2374 \| 724500 \| 0.0005 \| - \|
	\| 11.2452 \| 725000 \| 0.0006 \| - \|
	\| 11.2529 \| 725500 \| 0.0002 \| - \|
	\| 11.2607 \| 726000 \| 0.0005 \| - \|
	\| 11.2685 \| 726500 \| 0.0008 \| - \|
	\| 11.2762 \| 727000 \| 0.0015 \| - \|
	\| 11.2840 \| 727500 \| 0.0002 \| - \|
	\| 11.2917 \| 728000 \| 0.0006 \| - \|
	\| 11.2995 \| 728500 \| 0.0008 \| - \|
	\| 11.3072 \| 729000 \| 0.0003 \| - \|
	\| 11.3150 \| 729500 \| 0.0008 \| - \|
	\| 11.3227 \| 730000 \| 0.0006 \| - \|
	\| 11.3305 \| 730500 \| 0.0003 \| - \|
	\| 11.3383 \| 731000 \| 0.0012 \| - \|
	\| 11.3460 \| 731500 \| 0.001 \| - \|
	\| 11.3538 \| 732000 \| 0.0016 \| - \|
	\| 11.3615 \| 732500 \| 0.0016 \| - \|
	\| 11.3693 \| 733000 \| 0.0011 \| - \|
	\| 11.3770 \| 733500 \| 0.0004 \| - \|
	\| 11.3848 \| 734000 \| 0.0014 \| - \|
	\| 11.3925 \| 734500 \| 0.0003 \| - \|
	\| 11.4003 \| 735000 \| 0.0002 \| - \|
	\| 11.4081 \| 735500 \| 0.0005 \| - \|
	\| 11.4158 \| 736000 \| 0.0018 \| - \|
	\| 11.4236 \| 736500 \| 0.0002 \| - \|
	\| 11.4313 \| 737000 \| 0.001 \| - \|
	\| 11.4391 \| 737500 \| 0.0002 \| - \|
	\| 11.4468 \| 738000 \| 0.0003 \| - \|
	\| 11.4546 \| 738500 \| 0.0002 \| - \|
	\| 11.4623 \| 739000 \| 0.0002 \| - \|
	\| 11.4701 \| 739500 \| 0.002 \| - \|
	\| 11.4779 \| 740000 \| 0.0009 \| - \|
	\| 11.4856 \| 740500 \| 0.0004 \| - \|
	\| 11.4934 \| 741000 \| 0.0004 \| - \|
	\| 11.5011 \| 741500 \| 0.0004 \| - \|
	\| 11.5089 \| 742000 \| 0.0004 \| - \|
	\| 11.5166 \| 742500 \| 0.001 \| - \|
	\| 11.5244 \| 743000 \| 0.0004 \| - \|
	\| 11.5321 \| 743500 \| 0.0006 \| - \|
	\| 11.5399 \| 744000 \| 0.0005 \| - \|
	\| 11.5476 \| 744500 \| 0.0003 \| - \|
	\| 11.5554 \| 745000 \| 0.0004 \| - \|
	\| 11.5632 \| 745500 \| 0.0003 \| - \|
	\| 11.5709 \| 746000 \| 0.0015 \| - \|
	\| 11.5787 \| 746500 \| 0.0005 \| - \|
	\| 11.5864 \| 747000 \| 0.0007 \| - \|
	\| 11.5942 \| 747500 \| 0.0005 \| - \|
	\| 11.6019 \| 748000 \| 0.0018 \| - \|
	\| 11.6097 \| 748500 \| 0.0013 \| - \|
	\| 11.6174 \| 749000 \| 0.0009 \| - \|
	\| 11.6252 \| 749500 \| 0.0004 \| - \|
	\| 11.6330 \| 750000 \| 0.0013 \| 0.8735 \|
	\| 11.6407 \| 750500 \| 0.0007 \| - \|
	\| 11.6485 \| 751000 \| 0.0022 \| - \|
	\| 11.6562 \| 751500 \| 0.0002 \| - \|
	\| 11.6640 \| 752000 \| 0.0013 \| - \|
	\| 11.6717 \| 752500 \| 0.0004 \| - \|
	\| 11.6795 \| 753000 \| 0.0019 \| - \|
	\| 11.6872 \| 753500 \| 0.0003 \| - \|
	\| 11.6950 \| 754000 \| 0.0006 \| - \|
	\| 11.7028 \| 754500 \| 0.0007 \| - \|
	\| 11.7105 \| 755000 \| 0.0002 \| - \|
	\| 11.7183 \| 755500 \| 0.0008 \| - \|
	\| 11.7260 \| 756000 \| 0.0011 \| - \|
	\| 11.7338 \| 756500 \| 0.0005 \| - \|
	\| 11.7415 \| 757000 \| 0.0008 \| - \|
	\| 11.7493 \| 757500 \| 0.0004 \| - \|
	\| 11.7570 \| 758000 \| 0.0011 \| - \|
	\| 11.7648 \| 758500 \| 0.0011 \| - \|
	\| 11.7726 \| 759000 \| 0.001 \| - \|
	\| 11.7803 \| 759500 \| 0.0001 \| - \|
	\| 11.7881 \| 760000 \| 0.0005 \| - \|
	\| 11.7958 \| 760500 \| 0.0007 \| - \|
	\| 11.8036 \| 761000 \| 0.0005 \| - \|
	\| 11.8113 \| 761500 \| 0.0012 \| - \|
	\| 11.8191 \| 762000 \| 0.0003 \| - \|
	\| 11.8268 \| 762500 \| 0.0005 \| - \|
	\| 11.8346 \| 763000 \| 0.0003 \| - \|
	\| 11.8424 \| 763500 \| 0.0002 \| - \|
	\| 11.8501 \| 764000 \| 0.0006 \| - \|
	\| 11.8579 \| 764500 \| 0.0004 \| - \|
	\| 11.8656 \| 765000 \| 0.0006 \| - \|
	\| 11.8734 \| 765500 \| 0.0017 \| - \|
	\| 11.8811 \| 766000 \| 0.0002 \| - \|
	\| 11.8889 \| 766500 \| 0.0003 \| - \|
	\| 11.8966 \| 767000 \| 0.0003 \| - \|
	\| 11.9044 \| 767500 \| 0.0006 \| - \|
	\| 11.9121 \| 768000 \| 0.0007 \| - \|
	\| 11.9199 \| 768500 \| 0.0002 \| - \|
	\| 11.9277 \| 769000 \| 0.0021 \| - \|
	\| 11.9354 \| 769500 \| 0.0008 \| - \|
	\| 11.9432 \| 770000 \| 0.0004 \| - \|
	\| 11.9509 \| 770500 \| 0.0003 \| - \|
	\| 11.9587 \| 771000 \| 0.0004 \| - \|
	\| 11.9664 \| 771500 \| 0.0003 \| - \|
	\| 11.9742 \| 772000 \| 0.0002 \| - \|
	\| 11.9819 \| 772500 \| 0.0016 \| - \|
	\| 11.9897 \| 773000 \| 0.0004 \| - \|
	\| 11.9975 \| 773500 \| 0.0003 \| - \|
	\| 12.0 \| 773664 \| - \| 0.8735 \|
	\| 12.0052 \| 774000 \| 0.0013 \| - \|
	\| 12.0130 \| 774500 \| 0.0007 \| - \|
	\| 12.0207 \| 775000 \| 0.0002 \| - \|
	\| 12.0285 \| 775500 \| 0.0004 \| - \|
	\| 12.0362 \| 776000 \| 0.0001 \| - \|
	\| 12.0440 \| 776500 \| 0.0005 \| - \|
	\| 12.0517 \| 777000 \| 0.0002 \| - \|
	\| 12.0595 \| 777500 \| 0.0005 \| - \|
	\| 12.0673 \| 778000 \| 0.0003 \| - \|
	\| 12.0750 \| 778500 \| 0.0003 \| - \|
	\| 12.0828 \| 779000 \| 0.0008 \| - \|
	\| 12.0905 \| 779500 \| 0.0004 \| - \|
	\| 12.0983 \| 780000 \| 0.0002 \| - \|
	\| 12.1060 \| 780500 \| 0.0006 \| - \|
	\| 12.1138 \| 781000 \| 0.0005 \| - \|
	\| 12.1215 \| 781500 \| 0.0005 \| - \|
	\| 12.1293 \| 782000 \| 0.0005 \| - \|
	\| 12.1371 \| 782500 \| 0.0002 \| - \|
	\| 12.1448 \| 783000 \| 0.0002 \| - \|
	\| 12.1526 \| 783500 \| 0.0002 \| - \|
	\| 12.1603 \| 784000 \| 0.0004 \| - \|
	\| 12.1681 \| 784500 \| 0.0003 \| - \|
	\| 12.1758 \| 785000 \| 0.0001 \| - \|
	\| 12.1836 \| 785500 \| 0.0003 \| - \|
	\| 12.1913 \| 786000 \| 0.0001 \| - \|
	\| 12.1991 \| 786500 \| 0.0008 \| - \|
	\| 12.2068 \| 787000 \| 0.0005 \| - \|
	\| 12.2146 \| 787500 \| 0.0003 \| - \|
	\| 12.2224 \| 788000 \| 0.0004 \| - \|
	\| 12.2301 \| 788500 \| 0.0022 \| - \|
	\| 12.2379 \| 789000 \| 0.0003 \| - \|
	\| 12.2456 \| 789500 \| 0.0006 \| - \|
	\| 12.2534 \| 790000 \| 0.0002 \| - \|
	\| 12.2611 \| 790500 \| 0.0007 \| - \|
	\| 12.2689 \| 791000 \| 0.0004 \| - \|
	\| 12.2766 \| 791500 \| 0.0002 \| - \|
	\| 12.2844 \| 792000 \| 0.002 \| - \|
	\| 12.2922 \| 792500 \| 0.0009 \| - \|
	\| 12.2999 \| 793000 \| 0.0006 \| - \|
	\| 12.3077 \| 793500 \| 0.0001 \| - \|
	\| 12.3154 \| 794000 \| 0.0001 \| - \|
	\| 12.3232 \| 794500 \| 0.0003 \| - \|
	\| 12.3309 \| 795000 \| 0.0003 \| - \|
	\| 12.3387 \| 795500 \| 0.0004 \| - \|
	\| 12.3464 \| 796000 \| 0.0011 \| - \|
	\| 12.3542 \| 796500 \| 0.0011 \| - \|
	\| 12.3620 \| 797000 \| 0.0003 \| - \|
	\| 12.3697 \| 797500 \| 0.0003 \| - \|
	\| 12.3775 \| 798000 \| 0.0002 \| - \|
	\| 12.3852 \| 798500 \| 0.0013 \| - \|
	\| 12.3930 \| 799000 \| 0.0003 \| - \|
	\| 12.4007 \| 799500 \| 0.0003 \| - \|
	\| 12.4085 \| 800000 \| 0.0004 \| 0.878 \|
	\| 12.4162 \| 800500 \| 0.0002 \| - \|
	\| 12.4240 \| 801000 \| 0.0002 \| - \|
	\| 12.4318 \| 801500 \| 0.0003 \| - \|
	\| 12.4395 \| 802000 \| 0.0006 \| - \|
	\| 12.4473 \| 802500 \| 0.0003 \| - \|
	\| 12.4550 \| 803000 \| 0.0004 \| - \|
	\| 12.4628 \| 803500 \| 0.0018 \| - \|
	\| 12.4705 \| 804000 \| 0.0001 \| - \|
	\| 12.4783 \| 804500 \| 0.0001 \| - \|
	\| 12.4860 \| 805000 \| 0.0009 \| - \|
	\| 12.4938 \| 805500 \| 0.0003 \| - \|
	\| 12.5016 \| 806000 \| 0.0006 \| - \|
	\| 12.5093 \| 806500 \| 0.0002 \| - \|
	\| 12.5171 \| 807000 \| 0.0001 \| - \|
	\| 12.5248 \| 807500 \| 0.0002 \| - \|
	\| 12.5326 \| 808000 \| 0.0002 \| - \|
	\| 12.5403 \| 808500 \| 0.0008 \| - \|
	\| 12.5481 \| 809000 \| 0.0002 \| - \|
	\| 12.5558 \| 809500 \| 0.0002 \| - \|
	\| 12.5636 \| 810000 \| 0.0002 \| - \|
	\| 12.5713 \| 810500 \| 0.0009 \| - \|
	\| 12.5791 \| 811000 \| 0.001 \| - \|
	\| 12.5869 \| 811500 \| 0.0005 \| - \|
	\| 12.5946 \| 812000 \| 0.0002 \| - \|
	\| 12.6024 \| 812500 \| 0.0005 \| - \|
	\| 12.6101 \| 813000 \| 0.0003 \| - \|
	\| 12.6179 \| 813500 \| 0.0002 \| - \|
	\| 12.6256 \| 814000 \| 0.001 \| - \|
	\| 12.6334 \| 814500 \| 0.0005 \| - \|
	\| 12.6411 \| 815000 \| 0.0001 \| - \|
	\| 12.6489 \| 815500 \| 0.0002 \| - \|
	\| 12.6567 \| 816000 \| 0.0002 \| - \|
	\| 12.6644 \| 816500 \| 0.0003 \| - \|
	\| 12.6722 \| 817000 \| 0.0011 \| - \|
	\| 12.6799 \| 817500 \| 0.0017 \| - \|
	\| 12.6877 \| 818000 \| 0.0003 \| - \|
	\| 12.6954 \| 818500 \| 0.0006 \| - \|
	\| 12.7032 \| 819000 \| 0.0003 \| - \|
	\| 12.7109 \| 819500 \| 0.0002 \| - \|
	\| 12.7187 \| 820000 \| 0.0005 \| - \|
	\| 12.7265 \| 820500 \| 0.0003 \| - \|
	\| 12.7342 \| 821000 \| 0.0008 \| - \|
	\| 12.7420 \| 821500 \| 0.0001 \| - \|
	\| 12.7497 \| 822000 \| 0.0004 \| - \|
	\| 12.7575 \| 822500 \| 0.0003 \| - \|
	\| 12.7652 \| 823000 \| 0.0006 \| - \|
	\| 12.7730 \| 823500 \| 0.0001 \| - \|
	\| 12.7807 \| 824000 \| 0.0002 \| - \|
	\| 12.7885 \| 824500 \| 0.0003 \| - \|
	\| 12.7963 \| 825000 \| 0.0002 \| - \|
	\| 12.8040 \| 825500 \| 0.0007 \| - \|
	\| 12.8118 \| 826000 \| 0.0004 \| - \|
	\| 12.8195 \| 826500 \| 0.0009 \| - \|
	\| 12.8273 \| 827000 \| 0.0002 \| - \|
	\| 12.8350 \| 827500 \| 0.0008 \| - \|
	\| 12.8428 \| 828000 \| 0.0007 \| - \|
	\| 12.8505 \| 828500 \| 0.0008 \| - \|
	\| 12.8583 \| 829000 \| 0.0002 \| - \|
	\| 12.8661 \| 829500 \| 0.0002 \| - \|
	\| 12.8738 \| 830000 \| 0.0005 \| - \|
	\| 12.8816 \| 830500 \| 0.0002 \| - \|
	\| 12.8893 \| 831000 \| 0.0015 \| - \|
	\| 12.8971 \| 831500 \| 0.0001 \| - \|
	\| 12.9048 \| 832000 \| 0.0002 \| - \|
	\| 12.9126 \| 832500 \| 0.0004 \| - \|
	\| 12.9203 \| 833000 \| 0.0007 \| - \|
	\| 12.9281 \| 833500 \| 0.0008 \| - \|
	\| 12.9358 \| 834000 \| 0.0001 \| - \|
	\| 12.9436 \| 834500 \| 0.0004 \| - \|
	\| 12.9514 \| 835000 \| 0.0003 \| - \|
	\| 12.9591 \| 835500 \| 0.0007 \| - \|
	\| 12.9669 \| 836000 \| 0.0009 \| - \|
	\| 12.9746 \| 836500 \| 0.0014 \| - \|
	\| 12.9824 \| 837000 \| 0.0004 \| - \|
	\| 12.9901 \| 837500 \| 0.0007 \| - \|
	\| 12.9979 \| 838000 \| 0.0008 \| - \|
	\| 13.0 \| 838136 \| - \| 0.8825 \|
	\| 13.0056 \| 838500 \| 0.0004 \| - \|
	\| 13.0134 \| 839000 \| 0.0002 \| - \|
	\| 13.0212 \| 839500 \| 0.0011 \| - \|
	\| 13.0289 \| 840000 \| 0.0003 \| - \|
	\| 13.0367 \| 840500 \| 0.0007 \| - \|
	\| 13.0444 \| 841000 \| 0.0011 \| - \|
	\| 13.0522 \| 841500 \| 0.0005 \| - \|
	\| 13.0599 \| 842000 \| 0.0001 \| - \|
	\| 13.0677 \| 842500 \| 0.0013 \| - \|
	\| 13.0754 \| 843000 \| 0.0003 \| - \|
	\| 13.0832 \| 843500 \| 0.0005 \| - \|
	\| 13.0910 \| 844000 \| 0.0003 \| - \|
	\| 13.0987 \| 844500 \| 0.0001 \| - \|
	\| 13.1065 \| 845000 \| 0.0001 \| - \|
	\| 13.1142 \| 845500 \| 0.0003 \| - \|
	\| 13.1220 \| 846000 \| 0.0003 \| - \|
	\| 13.1297 \| 846500 \| 0.0003 \| - \|
	\| 13.1375 \| 847000 \| 0.0003 \| - \|
	\| 13.1452 \| 847500 \| 0.0002 \| - \|
	\| 13.1530 \| 848000 \| 0.001 \| - \|
	\| 13.1608 \| 848500 \| 0.0012 \| - \|
	\| 13.1685 \| 849000 \| 0.0016 \| - \|
	\| 13.1763 \| 849500 \| 0.0002 \| - \|
	\| 13.1840 \| 850000 \| 0.0003 \| 0.8815 \|
	\| 13.1918 \| 850500 \| 0.0003 \| - \|
	\| 13.1995 \| 851000 \| 0.001 \| - \|
	\| 13.2073 \| 851500 \| 0.0001 \| - \|
	\| 13.2150 \| 852000 \| 0.0003 \| - \|
	\| 13.2228 \| 852500 \| 0.0015 \| - \|
	\| 13.2305 \| 853000 \| 0.0002 \| - \|
	\| 13.2383 \| 853500 \| 0.0001 \| - \|
	\| 13.2461 \| 854000 \| 0.0004 \| - \|
	\| 13.2538 \| 854500 \| 0.0004 \| - \|
	\| 13.2616 \| 855000 \| 0.001 \| - \|
	\| 13.2693 \| 855500 \| 0.0014 \| - \|
	\| 13.2771 \| 856000 \| 0.0004 \| - \|
	\| 13.2848 \| 856500 \| 0.0002 \| - \|
	\| 13.2926 \| 857000 \| 0.0023 \| - \|
	\| 13.3003 \| 857500 \| 0.0002 \| - \|
	\| 13.3081 \| 858000 \| 0.0005 \| - \|
	\| 13.3159 \| 858500 \| 0.0003 \| - \|
	\| 13.3236 \| 859000 \| 0.0007 \| - \|
	\| 13.3314 \| 859500 \| 0.0003 \| - \|
	\| 13.3391 \| 860000 \| 0.0006 \| - \|
	\| 13.3469 \| 860500 \| 0.0013 \| - \|
	\| 13.3546 \| 861000 \| 0.0001 \| - \|
	\| 13.3624 \| 861500 \| 0.0004 \| - \|
	\| 13.3701 \| 862000 \| 0.0001 \| - \|
	\| 13.3779 \| 862500 \| 0.0003 \| - \|
	\| 13.3857 \| 863000 \| 0.0006 \| - \|
	\| 13.3934 \| 863500 \| 0.0003 \| - \|
	\| 13.4012 \| 864000 \| 0.0006 \| - \|
	\| 13.4089 \| 864500 \| 0.0001 \| - \|
	\| 13.4167 \| 865000 \| 0.0001 \| - \|
	\| 13.4244 \| 865500 \| 0.0001 \| - \|
	\| 13.4322 \| 866000 \| 0.0004 \| - \|
	\| 13.4399 \| 866500 \| 0.0001 \| - \|
	\| 13.4477 \| 867000 \| 0.0004 \| - \|
	\| 13.4555 \| 867500 \| 0.0031 \| - \|
	\| 13.4632 \| 868000 \| 0.0004 \| - \|
	\| 13.4710 \| 868500 \| 0.0002 \| - \|
	\| 13.4787 \| 869000 \| 0.0005 \| - \|
	\| 13.4865 \| 869500 \| 0.0003 \| - \|
	\| 13.4942 \| 870000 \| 0.0004 \| - \|
	\| 13.5020 \| 870500 \| 0.0 \| - \|
	\| 13.5097 \| 871000 \| 0.0005 \| - \|
	\| 13.5175 \| 871500 \| 0.0003 \| - \|
	\| 13.5253 \| 872000 \| 0.0014 \| - \|
	\| 13.5330 \| 872500 \| 0.0001 \| - \|
	\| 13.5408 \| 873000 \| 0.0001 \| - \|
	\| 13.5485 \| 873500 \| 0.0007 \| - \|
	\| 13.5563 \| 874000 \| 0.0006 \| - \|
	\| 13.5640 \| 874500 \| 0.0004 \| - \|
	\| 13.5718 \| 875000 \| 0.0038 \| - \|
	\| 13.5795 \| 875500 \| 0.0002 \| - \|
	\| 13.5873 \| 876000 \| 0.0003 \| - \|
	\| 13.5950 \| 876500 \| 0.0005 \| - \|
	\| 13.6028 \| 877000 \| 0.0018 \| - \|
	\| 13.6106 \| 877500 \| 0.0001 \| - \|
	\| 13.6183 \| 878000 \| 0.0001 \| - \|
	\| 13.6261 \| 878500 \| 0.0018 \| - \|
	\| 13.6338 \| 879000 \| 0.0013 \| - \|
	\| 13.6416 \| 879500 \| 0.0006 \| - \|
	\| 13.6493 \| 880000 \| 0.0 \| - \|
	\| 13.6571 \| 880500 \| 0.0001 \| - \|
	\| 13.6648 \| 881000 \| 0.0007 \| - \|
	\| 13.6726 \| 881500 \| 0.0001 \| - \|
	\| 13.6804 \| 882000 \| 0.0001 \| - \|
	\| 13.6881 \| 882500 \| 0.0001 \| - \|
	\| 13.6959 \| 883000 \| 0.0002 \| - \|
	\| 13.7036 \| 883500 \| 0.0007 \| - \|
	\| 13.7114 \| 884000 \| 0.0002 \| - \|
	\| 13.7191 \| 884500 \| 0.0002 \| - \|
	\| 13.7269 \| 885000 \| 0.001 \| - \|
	\| 13.7346 \| 885500 \| 0.0002 \| - \|
	\| 13.7424 \| 886000 \| 0.0003 \| - \|
	\| 13.7502 \| 886500 \| 0.0003 \| - \|
	\| 13.7579 \| 887000 \| 0.0001 \| - \|
	\| 13.7657 \| 887500 \| 0.0001 \| - \|
	\| 13.7734 \| 888000 \| 0.0007 \| - \|
	\| 13.7812 \| 888500 \| 0.0004 \| - \|
	\| 13.7889 \| 889000 \| 0.0001 \| - \|
	\| 13.7967 \| 889500 \| 0.0002 \| - \|
	\| 13.8044 \| 890000 \| 0.0003 \| - \|
	\| 13.8122 \| 890500 \| 0.0001 \| - \|
	\| 13.8200 \| 891000 \| 0.0002 \| - \|
	\| 13.8277 \| 891500 \| 0.0002 \| - \|
	\| 13.8355 \| 892000 \| 0.0006 \| - \|
	\| 13.8432 \| 892500 \| 0.0004 \| - \|
	\| 13.8510 \| 893000 \| 0.0014 \| - \|
	\| 13.8587 \| 893500 \| 0.0003 \| - \|
	\| 13.8665 \| 894000 \| 0.0001 \| - \|
	\| 13.8742 \| 894500 \| 0.0007 \| - \|
	\| 13.8820 \| 895000 \| 0.0004 \| - \|
	\| 13.8898 \| 895500 \| 0.0012 \| - \|
	\| 13.8975 \| 896000 \| 0.0007 \| - \|
	\| 13.9053 \| 896500 \| 0.0004 \| - \|
	\| 13.9130 \| 897000 \| 0.0004 \| - \|
	\| 13.9208 \| 897500 \| 0.0003 \| - \|
	\| 13.9285 \| 898000 \| 0.0006 \| - \|
	\| 13.9363 \| 898500 \| 0.0033 \| - \|
	\| 13.9440 \| 899000 \| 0.0003 \| - \|
	\| 13.9518 \| 899500 \| 0.0006 \| - \|
	\| 13.9595 \| 900000 \| 0.0002 \| 0.893 \|
	\| 13.9673 \| 900500 \| 0.0008 \| - \|
	\| 13.9751 \| 901000 \| 0.0005 \| - \|
	\| 13.9828 \| 901500 \| 0.0003 \| - \|
	\| 13.9906 \| 902000 \| 0.0005 \| - \|
	\| 13.9983 \| 902500 \| 0.0002 \| - \|
	\| 14.0 \| 902608 \| - \| 0.8915 \|
	\| 14.0061 \| 903000 \| 0.0001 \| - \|
	\| 14.0138 \| 903500 \| 0.0003 \| - \|
	\| 14.0216 \| 904000 \| 0.0005 \| - \|
	\| 14.0293 \| 904500 \| 0.0001 \| - \|
	\| 14.0371 \| 905000 \| 0.0001 \| - \|
	\| 14.0449 \| 905500 \| 0.0001 \| - \|
	\| 14.0526 \| 906000 \| 0.0005 \| - \|
	\| 14.0604 \| 906500 \| 0.0018 \| - \|
	\| 14.0681 \| 907000 \| 0.0027 \| - \|
	\| 14.0759 \| 907500 \| 0.0012 \| - \|
	\| 14.0836 \| 908000 \| 0.0004 \| - \|
	\| 14.0914 \| 908500 \| 0.0002 \| - \|
	\| 14.0991 \| 909000 \| 0.001 \| - \|
	\| 14.1069 \| 909500 \| 0.0007 \| - \|
	\| 14.1147 \| 910000 \| 0.0004 \| - \|
	\| 14.1224 \| 910500 \| 0.0002 \| - \|
	\| 14.1302 \| 911000 \| 0.0001 \| - \|
	\| 14.1379 \| 911500 \| 0.0005 \| - \|
	\| 14.1457 \| 912000 \| 0.0005 \| - \|
	\| 14.1534 \| 912500 \| 0.0002 \| - \|
	\| 14.1612 \| 913000 \| 0.0003 \| - \|
	\| 14.1689 \| 913500 \| 0.0002 \| - \|
	\| 14.1767 \| 914000 \| 0.0001 \| - \|
	\| 14.1845 \| 914500 \| 0.0001 \| - \|
	\| 14.1922 \| 915000 \| 0.0004 \| - \|
	\| 14.2000 \| 915500 \| 0.0006 \| - \|
	\| 14.2077 \| 916000 \| 0.0004 \| - \|
	\| 14.2155 \| 916500 \| 0.0002 \| - \|
	\| 14.2232 \| 917000 \| 0.0024 \| - \|
	\| 14.2310 \| 917500 \| 0.0005 \| - \|
	\| 14.2387 \| 918000 \| 0.0001 \| - \|
	\| 14.2465 \| 918500 \| 0.0002 \| - \|
	\| 14.2542 \| 919000 \| 0.0002 \| - \|
	\| 14.2620 \| 919500 \| 0.0007 \| - \|
	\| 14.2698 \| 920000 \| 0.0006 \| - \|
	\| 14.2775 \| 920500 \| 0.0003 \| - \|
	\| 14.2853 \| 921000 \| 0.0002 \| - \|
	\| 14.2930 \| 921500 \| 0.0001 \| - \|
	\| 14.3008 \| 922000 \| 0.0003 \| - \|
	\| 14.3085 \| 922500 \| 0.0001 \| - \|
	\| 14.3163 \| 923000 \| 0.0002 \| - \|
	\| 14.3240 \| 923500 \| 0.002 \| - \|
	\| 14.3318 \| 924000 \| 0.0001 \| - \|
	\| 14.3396 \| 924500 \| 0.0012 \| - \|
	\| 14.3473 \| 925000 \| 0.0008 \| - \|
	\| 14.3551 \| 925500 \| 0.0003 \| - \|
	\| 14.3628 \| 926000 \| 0.0005 \| - \|
	\| 14.3706 \| 926500 \| 0.0001 \| - \|
	\| 14.3783 \| 927000 \| 0.0001 \| - \|
	\| 14.3861 \| 927500 \| 0.0002 \| - \|
	\| 14.3938 \| 928000 \| 0.0001 \| - \|
	\| 14.4016 \| 928500 \| 0.0026 \| - \|
	\| 14.4094 \| 929000 \| 0.0004 \| - \|
	\| 14.4171 \| 929500 \| 0.0006 \| - \|
	\| 14.4249 \| 930000 \| 0.0005 \| - \|
	\| 14.4326 \| 930500 \| 0.0002 \| - \|
	\| 14.4404 \| 931000 \| 0.0002 \| - \|
	\| 14.4481 \| 931500 \| 0.0008 \| - \|
	\| 14.4559 \| 932000 \| 0.0003 \| - \|
	\| 14.4636 \| 932500 \| 0.0008 \| - \|
	\| 14.4714 \| 933000 \| 0.0001 \| - \|
	\| 14.4792 \| 933500 \| 0.0001 \| - \|
	\| 14.4869 \| 934000 \| 0.0002 \| - \|
	\| 14.4947 \| 934500 \| 0.0011 \| - \|
	\| 14.5024 \| 935000 \| 0.0008 \| - \|
	\| 14.5102 \| 935500 \| 0.0004 \| - \|
	\| 14.5179 \| 936000 \| 0.0002 \| - \|
	\| 14.5257 \| 936500 \| 0.0006 \| - \|
	\| 14.5334 \| 937000 \| 0.0003 \| - \|
	\| 14.5412 \| 937500 \| 0.0001 \| - \|
	\| 14.5490 \| 938000 \| 0.0004 \| - \|
	\| 14.5567 \| 938500 \| 0.0001 \| - \|
	\| 14.5645 \| 939000 \| 0.0012 \| - \|
	\| 14.5722 \| 939500 \| 0.0001 \| - \|
	\| 14.5800 \| 940000 \| 0.0008 \| - \|
	\| 14.5877 \| 940500 \| 0.0002 \| - \|
	\| 14.5955 \| 941000 \| 0.0003 \| - \|
	\| 14.6032 \| 941500 \| 0.0002 \| - \|
	\| 14.6110 \| 942000 \| 0.0001 \| - \|
	\| 14.6187 \| 942500 \| 0.0002 \| - \|
	\| 14.6265 \| 943000 \| 0.0005 \| - \|
	\| 14.6343 \| 943500 \| 0.0013 \| - \|
	\| 14.6420 \| 944000 \| 0.0004 \| - \|
	\| 14.6498 \| 944500 \| 0.0007 \| - \|
	\| 14.6575 \| 945000 \| 0.0001 \| - \|
	\| 14.6653 \| 945500 \| 0.0003 \| - \|
	\| 14.6730 \| 946000 \| 0.0001 \| - \|
	\| 14.6808 \| 946500 \| 0.0002 \| - \|
	\| 14.6885 \| 947000 \| 0.0002 \| - \|
	\| 14.6963 \| 947500 \| 0.0002 \| - \|
	\| 14.7041 \| 948000 \| 0.0003 \| - \|
	\| 14.7118 \| 948500 \| 0.0001 \| - \|
	\| 14.7196 \| 949000 \| 0.0001 \| - \|
	\| 14.7273 \| 949500 \| 0.0008 \| - \|
	\| 14.7351 \| 950000 \| 0.0009 \| 0.8955 \|
	\| 14.7428 \| 950500 \| 0.0003 \| - \|
	\| 14.7506 \| 951000 \| 0.0002 \| - \|
	\| 14.7583 \| 951500 \| 0.0004 \| - \|
	\| 14.7661 \| 952000 \| 0.0001 \| - \|
	\| 14.7739 \| 952500 \| 0.0003 \| - \|
	\| 14.7816 \| 953000 \| 0.0001 \| - \|
	\| 14.7894 \| 953500 \| 0.0001 \| - \|
	\| 14.7971 \| 954000 \| 0.0001 \| - \|
	\| 14.8049 \| 954500 \| 0.0002 \| - \|
	\| 14.8126 \| 955000 \| 0.0007 \| - \|
	\| 14.8204 \| 955500 \| 0.0012 \| - \|
	\| 14.8281 \| 956000 \| 0.0003 \| - \|
	\| 14.8359 \| 956500 \| 0.0002 \| - \|
	\| 14.8437 \| 957000 \| 0.0002 \| - \|
	\| 14.8514 \| 957500 \| 0.0002 \| - \|
	\| 14.8592 \| 958000 \| 0.0006 \| - \|
	\| 14.8669 \| 958500 \| 0.0001 \| - \|
	\| 14.8747 \| 959000 \| 0.0004 \| - \|
	\| 14.8824 \| 959500 \| 0.0004 \| - \|
	\| 14.8902 \| 960000 \| 0.0011 \| - \|
	\| 14.8979 \| 960500 \| 0.0001 \| - \|
	\| 14.9057 \| 961000 \| 0.0001 \| - \|
	\| 14.9135 \| 961500 \| 0.0002 \| - \|
	\| 14.9212 \| 962000 \| 0.0001 \| - \|
	\| 14.9290 \| 962500 \| 0.0006 \| - \|
	\| 14.9367 \| 963000 \| 0.0001 \| - \|
	\| 14.9445 \| 963500 \| 0.0001 \| - \|
	\| 14.9522 \| 964000 \| 0.0006 \| - \|
	\| 14.9600 \| 964500 \| 0.0005 \| - \|
	\| 14.9677 \| 965000 \| 0.0001 \| - \|
	\| 14.9755 \| 965500 \| 0.0001 \| - \|
	\| 14.9832 \| 966000 \| 0.0002 \| - \|
	\| 14.9910 \| 966500 \| 0.0004 \| - \|
	\| 14.9988 \| 967000 \| 0.0001 \| - \|
	\| 15.0 \| 967080 \| - \| 0.896 \|

	</details>

	### Framework Versions
	- Python: 3.10.18
	- Sentence Transformers: 5.0.0
	- Transformers: 4.53.1
	- PyTorch: 2.7.1+cu126
	- Accelerate: 1.10.0
	- Datasets: 3.6.0
	- Tokenizers: 0.21.2

	## Citation

	### BibTeX

	#### Sentence Transformers
	```bibtex
	@inproceedings{reimers-2019-sentence-bert,
	title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
	author = "Reimers, Nils and Gurevych, Iryna",
	booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
	month = "11",
	year = "2019",
	publisher = "Association for Computational Linguistics",
	url = "https://arxiv.org/abs/1908.10084",
	}
	```

	#### MultipleNegativesRankingLoss
	```bibtex
	@misc{henderson2017efficient,
	title={Efficient Natural Language Response Suggestion for Smart Reply},
	author={Matthew Henderson and Rami Al-Rfou and Brian Strope and Yun-hsuan Sung and Laszlo Lukacs and Ruiqi Guo and Sanjiv Kumar and Balint Miklos and Ray Kurzweil},
	year={2017},
	eprint={1705.00652},
	archivePrefix={arXiv},
	primaryClass={cs.CL}
	}
	```

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