qcz/GTE-ModernColBERT-v1-InstructColBERT

PyLate model based on lightonai/GTE-ModernColBERT-v1

This is a PyLate model finetuned from lightonai/GTE-ModernColBERT-v1 on the msmarco-w-instructions dataset. It maps sentences & paragraphs to sequences of 128-dimensional dense vectors and can be used for semantic textual similarity using the MaxSim operator.

Model Details

Model Description

• Model Type: PyLate model
• Base model: lightonai/GTE-ModernColBERT-v1
• Document Length: 1024 tokens
• Query Length: 512 tokens
• Output Dimensionality: 128 tokens
• Similarity Function: MaxSim
• Training Dataset:
  • msmarco-w-instructions

Model Sources

• Documentation: PyLate Documentation
• Repository: PyLate on GitHub
• Hugging Face: PyLate models on Hugging Face

Full Model Architecture

ColBERT(
  (0): Transformer({'max_seq_length': 511, 'do_lower_case': False, 'architecture': 'ModernBertModel'})
  (1): Dense({'in_features': 768, 'out_features': 128, 'bias': False, 'activation_function': 'torch.nn.modules.linear.Identity', 'use_residual': False})
)

Usage

First install the PyLate library:

pip install -U pylate

Retrieval

Use this model with PyLate to index and retrieve documents. The index uses FastPLAID for efficient similarity search.

Indexing documents

Load the ColBERT model and initialize the PLAID index, then encode and index your documents:

from pylate import indexes, models, retrieve

# Step 1: Load the ColBERT model
model = models.ColBERT(
    model_name_or_path="pylate_model_id",
)

# Step 2: Initialize the PLAID index
index = indexes.PLAID(
    index_folder="pylate-index",
    index_name="index",
    override=True,  # This overwrites the existing index if any
)

# Step 3: Encode the documents
documents_ids = ["1", "2", "3"]
documents = ["document 1 text", "document 2 text", "document 3 text"]

documents_embeddings = model.encode(
    documents,
    batch_size=32,
    is_query=False,  # Ensure that it is set to False to indicate that these are documents, not queries
    show_progress_bar=True,
)

# Step 4: Add document embeddings to the index by providing embeddings and corresponding ids
index.add_documents(
    documents_ids=documents_ids,
    documents_embeddings=documents_embeddings,
)

Note that you do not have to recreate the index and encode the documents every time. Once you have created an index and added the documents, you can re-use the index later by loading it:

# To load an index, simply instantiate it with the correct folder/name and without overriding it
index = indexes.PLAID(
    index_folder="pylate-index",
    index_name="index",
)

Retrieving top-k documents for queries

Once the documents are indexed, you can retrieve the top-k most relevant documents for a given set of queries. To do so, initialize the ColBERT retriever with the index you want to search in, encode the queries and then retrieve the top-k documents to get the top matches ids and relevance scores:

# Step 1: Initialize the ColBERT retriever
retriever = retrieve.ColBERT(index=index)

# Step 2: Encode the queries
queries_embeddings = model.encode(
    ["query for document 3", "query for document 1"],
    batch_size=32,
    is_query=True,  #  # Ensure that it is set to False to indicate that these are queries
    show_progress_bar=True,
)

# Step 3: Retrieve top-k documents
scores = retriever.retrieve(
    queries_embeddings=queries_embeddings,
    k=10,  # Retrieve the top 10 matches for each query
)

Reranking

If you only want to use the ColBERT model to perform reranking on top of your first-stage retrieval pipeline without building an index, you can simply use rank function and pass the queries and documents to rerank:

from pylate import rank, models

queries = [
    "query A",
    "query B",
]

documents = [
    ["document A", "document B"],
    ["document 1", "document C", "document B"],
]

documents_ids = [
    [1, 2],
    [1, 3, 2],
]

model = models.ColBERT(
    model_name_or_path="pylate_model_id",
)

queries_embeddings = model.encode(
    queries,
    is_query=True,
)

documents_embeddings = model.encode(
    documents,
    is_query=False,
)

reranked_documents = rank.rerank(
    documents_ids=documents_ids,
    queries_embeddings=queries_embeddings,
    documents_embeddings=documents_embeddings,
)

Training Details

Training Dataset

msmarco-w-instructions

• Dataset: msmarco-w-instructions at 1006ea7
• Size: 980,250 training samples
• Columns: query, positive, negative_1, negative_2, negative_3, negative_4, negative_5, negative_6, negative_7, negative_8, negative_9, negative_10, negative_11, negative_12, negative_13, negative_14, negative_15, negative_16, negative_17, negative_18, negative_19, negative_20, negative_21, negative_22, negative_23, negative_24, negative_25, negative_26, negative_27, negative_28, negative_29, and negative_30
• Approximate statistics based on the first 1000 samples:

  	query	positive	negative_1	negative_2	negative_3	negative_4	negative_5	negative_6	negative_7	negative_8	negative_9	negative_10	negative_11	negative_12	negative_13	negative_14	negative_15	negative_16	negative_17	negative_18	negative_19	negative_20	negative_21	negative_22	negative_23	negative_24	negative_25	negative_26	negative_27	negative_28	negative_29	negative_30
  type	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string	string
  details	min: 5 tokens mean: 67.79 tokens max: 328 tokens	min: 31 tokens mean: 92.53 tokens max: 232 tokens	min: 34 tokens mean: 79.7 tokens max: 256 tokens	min: 20 tokens mean: 78.22 tokens max: 205 tokens	min: 16 tokens mean: 84.03 tokens max: 223 tokens	min: 20 tokens mean: 86.12 tokens max: 256 tokens	min: 20 tokens mean: 85.81 tokens max: 223 tokens	min: 16 tokens mean: 86.63 tokens max: 271 tokens	min: 28 tokens mean: 84.02 tokens max: 227 tokens	min: 20 tokens mean: 87.18 tokens max: 271 tokens	min: 22 tokens mean: 85.9 tokens max: 255 tokens	min: 17 tokens mean: 86.6 tokens max: 244 tokens	min: 22 tokens mean: 87.1 tokens max: 247 tokens	min: 26 tokens mean: 88.25 tokens max: 210 tokens	min: 17 tokens mean: 87.54 tokens max: 244 tokens	min: 25 tokens mean: 85.85 tokens max: 254 tokens	min: 26 tokens mean: 88.0 tokens max: 241 tokens	min: 26 tokens mean: 87.97 tokens max: 254 tokens	min: 27 tokens mean: 86.32 tokens max: 252 tokens	min: 19 tokens mean: 87.77 tokens max: 240 tokens	min: 27 tokens mean: 88.07 tokens max: 252 tokens	min: 25 tokens mean: 86.63 tokens max: 227 tokens	min: 19 tokens mean: 87.46 tokens max: 240 tokens	min: 20 tokens mean: 87.85 tokens max: 236 tokens	min: 20 tokens mean: 86.87 tokens max: 228 tokens	min: 21 tokens mean: 87.38 tokens max: 512 tokens	min: 22 tokens mean: 86.78 tokens max: 512 tokens	min: 24 tokens mean: 87.13 tokens max: 221 tokens	min: 25 tokens mean: 88.45 tokens max: 512 tokens	min: 24 tokens mean: 86.37 tokens max: 265 tokens	min: 19 tokens mean: 88.7 tokens max: 243 tokens	min: 21 tokens mean: 88.49 tokens max: 252 tokens

• Samples:

  query	positive	negative_1	negative_2	negative_3	negative_4	negative_5	negative_6	negative_7	negative_8	negative_9	negative_10	negative_11	negative_12	negative_13	negative_14	negative_15	negative_16	negative_17	negative_18	negative_19	negative_20	negative_21	negative_22	negative_23	negative_24	negative_25	negative_26	negative_27	negative_28	negative_29	negative_30
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California Unemployment Extension If your California unemployment benefits have run out you may be eligible to receive extended unemployment benefits through one of the state or federal unemployment extension programs. This federal unemployment extension programs is called Emergency Unemployment Compensation, 2008 (Also known as EUC08).f you qualify for the EB unemployment extension you will receive additional benefits equal to 20 weeks or 80% of the maximum benefit amount on the original unemployment claim, whichever amount is less.	The Natural Rate, NAIRU, and Monetary Policy Figure 1 shows two additional estimates of the natural rate, together with the actual total civilian unemployment rate and the long-run average rate. The estimate labeled Natural Rate 1 is obtained by removing an estimate of short-run cyclical unemployment from the actual rate.	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At their peak, the federally backed programs extended benefits to up to 99 weeks in some — though never all — states.	- As of December, 2008, The duration of CO unemployment benefits was 13-26 weeks, but benefits can be extended by Colorado during times of high unemployment or other special circumstances.	- You can collect the equivalent of 26 weeks of total unemployment benefits on a claim. A claim is in effect for a one-year period. Within that claim year, maximum benefits would be 26 times your Weekly Benefit Rate. Using the previous example, with a Weekly Benefit Rate of $152, you would be entitled to collect $3,952.	Here's How Long Unemployment Benefits Now Last In Each State Under normal times, an individual can collect unemployment benefits for a maximum of 26 weeks. But after the recession, Congress passed the emergency benefit program to extend that duration to 73 weeks, although the exact length varied by state.Now, federal benefits have returned to their 26 week duration.nder normal times, an individual can collect unemployment benefits for a maximum of 26 weeks. But after the recession, Congress passed the emergency benefit program to extend that duration to 73 weeks, although the exact length varied by state.	Cobb County Unemployment Office Cobb County Unemployment Office. Find Cobb County Georgia unemployment offices, including state, federal, and department of labor offices. Unemployment offices provide information on unemployment eligibility and status, compensation, and filing weekly unemployment claims or benefits. Name.	- Unemployed residents must be aware of the qualifications for unemployment in order to determine if they meet the criteria. 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For example, the economic stimulus package passed by Congress in February 2009 provided for extended (and increased) unemployment benefits, and Ohio passed a law in the spring of 2009 further extending benefits.	How long can you collect state disability? CA = 52 weeks NY = 26 Weeks NJ = 26 Weeks HI = 26 Weeks RI = The duration of your claim is equal to 36% of your total base period wages divided by your weekly benefit rate (not including dependent's allowance). The most you are allowed to collect is an amount equal to 30 full weeks.
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Alan Menken According to Alan Menken ... after age 30 it is a downhill plunge. Menken wrote several shows that were not produced, including Atina, Evil Queen of the Galaxy (1980), with lyrics by Steve Brown. He also wrote The Thorn with lyrics by Brown, which was commissioned by Divine in 1980.	Henry Wadsworth Longfellow Poems such as “Paul Revere’s Ride,” Evangeline, A Tale of Acadie (1847), and “A Psalm of Life” became mainstays of national culture, long remembered by generations of readers who studied them in school.	Do Not Stand at My Grave and Weep Do Not Stand at My Grave and Weep. Do Not Stand at My Grave and Weep is a poem written in 1932 by Mary Elizabeth Frye. Although the origin of the poem was disputed until later in her life, Mary Frye's authorship was confirmed in 1998 after research by Abigail Van Buren, a newspaper columnist. 1 Origins.	- Randall's most famous poem is The Ballad of Birmingham, written during the 1960s, about the 1963 bombing of the church Martin Luther King, Jr. belonged to in Birmingham, Alabama.[2] Randall's poetry	Best Famous Romantic Poets of All-time Andreas Kalvos. Andreas Kalvos (Greek: ἀνδρέας κάλβος, also transliterated as Andreas Calvos; 1 April 1792 – November 3, 1869) was a Greek poet of the Romantic school. He published only two collections of poems — the Lyra of 1824 and the Lyrica of 1826. He was a contemporary of the poets Ugo Foscolo and Dionysios Solomos.	The Hollywood Ten This is a static page that is no longer maintained. The Hollywood Ten. American novelist and journalist Alvah Bessie wrote screenplays for Warner Brothers and other studios during the mid and late '40s. As a screenwriter, he was nominated for an Academy Award for Best Original Story for the patriotic Warner's film Objective Burma(1945).	Austin Miles' Methodist Hymn: In The Garden You Are At: AllSands Home > Religious > Christian > Austin Miles' Methodist hymn: in the garden. Written in 1912 by C. Austin Miles, as a commission by a music publisher, “In the Garden” was no less spiritually inspired for all its secular beginnings. Miles left an accounting of the writing of it. He describes sitting in a darkened room and taking up the Bible for inspiration.	- He also wrote a paper concerning aggression instinct and Freud did not approve. In addition, Alfred wrote a paper on children's feelings of inferiority. Which agreed with Freud's sexual notions. Freud named Adler president of Viennese Analytic Society co-editor of organization newsletter.	Sermons on Mark - Brian Bill Browse Collections. The Roman Centurion. Mark 15:39 tells us that the Roman centurion, who had witnessed the suffering and death of Christ at Calvary first-hand, said: Truly this man was the Son of God!.	Alan Menken According to Alan Menken ... after age 30 it is a downhill plunge. Menken wrote several shows that were not produced, including Atina, Evil Queen of the Galaxy (1980), with lyrics by Steve Brown. He also wrote The Thorn with lyrics by Brown, which was commissioned by Divine in 1980.	Who wrote the final draft of the Constitution? Related Videos. 0. But only one man actually wrote the words on the paper when the text had been decided. Each of the state delegates to the convention had an influence on the wording of the Constitution. Their names can be found at the link below. The man who actually wrote the words is named Jacob Shallus.	- In the Name of the Lord Lyrics. In the Name of the Lord was written by Raymond Brown, Ragan Courtney, Camp Kirkland. In the Name of the Lord was written by Raymond Brown, Ragan Courtney, Camp Kirkland.	Analysis of âDown Underâ by Men At Work written by Davis King Analysis of “Down Under” by Men At Work written by Davis King Posted on September 20, 2015 by nking3 Men At Work is an Australian rock band who formed in 1978 in Sydney, Australia by their lead vocalist Colin Hay. Known for their cutting edge style of play and groovy, easy-going sound, Men At Work quickly arouse as one of the top bands of the early 80s around the world. Most notably is their Billboard charts number one hit “Down Under”.	- Calvary Community Church - Phoenix. 1 Calvary Community Church was started in 1982 by Pastor J. Mark Martin. Calvary, a non-denominational church, started with only 11 people in a northwest Phoenix elementary school band room and today has grown to be the church home for over 10,000.	Charles Wesley Hymns Charles Wesley Hymns. Charles Wesley (1707-1788), who wrote hundreds of hymns and poems, was one of the most prolific English poets. His hymns witness to the power of God in Christ today and in every age. He and his brother John Wesley founded Methodism.	Down in the Boondocks (song) Down in the Boondocks is a song written by Joe South and recorded by American artist Billy Joe Royal. It was a hit in 1965, reaching number 9 on the Billboard Hot 100 chart. In the UK, it hit number 38 on the Record Retailer chart. The song comes from the album Down in the Boondocks.	In the Garden (1912 song) In the Garden (1912 song) For the Van Morrison song, see In the Garden (Van Morrison song). In the Garden (sometimes rendered by its first line I Come to the Garden Alone) is a gospel song written by American songwriter C. Austin Miles (1868–1946), a former pharmacist who served as editor and manager at Hall-Mack publishers for 37 years.	George Eliot Mary Ann Evans redirects here. For the wife of Benjamin Disraeli, see Mary Anne Disraeli. Mary Anne Evans (22 November 1819 – 22 December 1880; alternatively Mary Ann or Marian), known by her pen name George Eliot, was an English novelist, poet, journalist, translator and one of the leading writers of the Victorian era.	Ode to a Nightingale Ode to a Nightingale. Ode to a Nightingale is a poem by John Keats written either in the garden of the Spaniards Inn, Hampstead, London or, according to Keats' friend Charles Armitage Brown, under a plum tree in the garden of Keats' house at Wentworth Place, also in Hampstead.	- You%27re A Mean One Mr. Grinch by Thurl Ravenscroft Songfacts. 1 This was written and recorded for the classic 1966 Dr. Seuss TV Holiday Special How The Grinch Stole Christmas. Seuss wrote the lyrics and Albert Hague wrote the music.	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He wrote about 33 plays, shows, comics, novels and more in the … 59 years that he lived for.

• Loss: pylate.losses.cached_contrastive.CachedContrastive

Training Hyperparameters

Non-Default Hyperparameters

• per_device_train_batch_size: 64
• per_device_eval_batch_size: 64
• learning_rate: 1e-05
• num_train_epochs: 1
• bf16: True
• dataloader_num_workers: 1

All Hyperparameters

Click to expand

• overwrite_output_dir: False
• do_predict: False
• eval_strategy: no
• prediction_loss_only: True
• per_device_train_batch_size: 64
• per_device_eval_batch_size: 64
• 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: 1e-05
• weight_decay: 0.0
• adam_beta1: 0.9
• adam_beta2: 0.999
• adam_epsilon: 1e-08
• max_grad_norm: 1.0
• num_train_epochs: 1
• 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: True
• fp16: False
• fp16_opt_level: O1
• half_precision_backend: auto
• bf16_full_eval: False
• fp16_full_eval: False
• tf32: None
• local_rank: 2
• ddp_backend: None
• tpu_num_cores: None
• tpu_metrics_debug: False
• debug: []
• dataloader_drop_last: True
• dataloader_num_workers: 1
• 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}
• parallelism_config: None
• deepspeed: None
• label_smoothing_factor: 0.0
• optim: adamw_torch_fused
• 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: True
• prompts: None
• batch_sampler: batch_sampler
• multi_dataset_batch_sampler: proportional
• router_mapping: {}
• learning_rate_mapping: {}

Training Logs

Click to expand

Epoch	Step	Training Loss
0.0003	1	30.2757
0.0005	2	29.9636
0.0008	3	29.8431
0.0010	4	29.0659
0.0013	5	28.7523
0.0016	6	27.6691
0.0018	7	27.3794
0.0021	8	25.5033
0.0024	9	25.6614
0.0026	10	25.8087
0.0029	11	24.3789
0.0031	12	24.2203
0.0034	13	23.0721
0.0037	14	22.4213
0.0039	15	21.9229
0.0042	16	21.1382
0.0044	17	20.6394
0.0047	18	20.5249
0.0050	19	18.7369
0.0052	20	17.5361
0.0055	21	17.6123
0.0057	22	16.6632
0.0060	23	15.644
0.0063	24	15.7027
0.0065	25	15.1862
0.0068	26	14.3775
0.0071	27	14.1358
0.0073	28	14.0459
0.0076	29	11.6536
0.0078	30	12.5823
0.0081	31	13.4384
0.0084	32	12.1333
0.0086	33	11.9911
0.0089	34	12.861
0.0091	35	11.8937
0.0094	36	11.422
0.0097	37	10.3666
0.0099	38	11.1888
0.0102	39	10.5024
0.0104	40	11.3395
0.0107	41	11.2623
0.0110	42	10.8843
0.0112	43	9.7799
0.0115	44	10.5655
0.0118	45	10.1398
0.0120	46	9.2369
0.0123	47	10.5876
0.0125	48	9.7023
0.0128	49	9.2971
0.0131	50	10.5522
0.0133	51	9.8727
0.0136	52	9.6701
0.0138	53	10.1214
0.0141	54	9.333
0.0144	55	9.1196
0.0146	56	9.358
0.0149	57	9.2872
0.0151	58	9.0573
0.0154	59	8.8257
0.0157	60	8.5293
0.0159	61	8.4285
0.0162	62	8.5785
0.0165	63	8.8942
0.0167	64	8.2798
0.0170	65	8.6684
0.0172	66	8.7003
0.0175	67	8.6042
0.0178	68	8.0086
0.0180	69	7.6224
0.0183	70	8.0139
0.0185	71	7.9758
0.0188	72	8.7862
0.0191	73	8.3694
0.0193	74	8.8254
0.0196	75	7.4997
0.0198	76	7.4304
0.0201	77	7.5256
0.0204	78	8.3488
0.0206	79	7.6406
0.0209	80	7.5284
0.0212	81	7.7694
0.0214	82	7.5392
0.0217	83	7.3526
0.0219	84	7.7522
0.0222	85	7.5666
0.0225	86	7.6307
0.0227	87	8.1705
0.0230	88	8.0792
0.0232	89	8.0457
0.0235	90	8.2724
0.0238	91	7.1912
0.0240	92	7.3791
0.0243	93	7.663
0.0245	94	7.4751
0.0248	95	8.6286
0.0251	96	8.5363
0.0253	97	8.0055
0.0256	98	7.6803
0.0259	99	7.6221
0.0261	100	7.7359
0.0264	101	7.9503
0.0266	102	8.0699
0.0269	103	7.8837
0.0272	104	6.6203
0.0274	105	7.0219
0.0277	106	7.7074
0.0279	107	7.2411
0.0282	108	7.4356
0.0285	109	7.3595
0.0287	110	7.6894
0.0290	111	7.0457
0.0293	112	7.918
0.0295	113	7.1948
0.0298	114	6.5285
0.0300	115	7.608
0.0303	116	7.4044
0.0306	117	6.9619
0.0308	118	7.3076
0.0311	119	7.8205
0.0313	120	7.1636
0.0316	121	7.3977
0.0319	122	6.496
0.0321	123	7.6703
0.0324	124	7.3166
0.0326	125	7.3984
0.0329	126	8.5491
0.0332	127	7.1492
0.0334	128	7.6703
0.0337	129	7.9792
0.0340	130	6.9993
0.0342	131	7.7641
0.0345	132	7.6333
0.0347	133	7.2368
0.0350	134	6.9932
0.0353	135	7.0464
0.0355	136	7.6029
0.0358	137	7.2209
0.0360	138	6.9496
0.0363	139	7.5153
0.0366	140	6.6741
0.0368	141	7.3548
0.0371	142	7.6566
0.0373	143	7.8981
0.0376	144	6.9144
0.0379	145	7.6483
0.0381	146	6.7669
0.0384	147	7.4102
0.0387	148	7.1229
0.0389	149	6.4215
0.0392	150	7.2475
0.0394	151	8.0415
0.0397	152	7.2094
0.0400	153	7.5626
0.0402	154	7.6732
0.0405	155	7.7343
0.0407	156	7.7701
0.0410	157	6.7177
0.0413	158	6.5687
0.0415	159	7.3328
0.0418	160	6.8421
0.0420	161	6.9955
0.0423	162	7.0652
0.0426	163	6.1503
0.0428	164	7.2053
0.0431	165	6.8283
0.0434	166	7.3624
0.0436	167	7.239
0.0439	168	6.8503
0.0441	169	7.5729
0.0444	170	7.2554
0.0447	171	7.313
0.0449	172	7.7452
0.0452	173	7.6161
0.0454	174	7.2242
0.0457	175	7.1608
0.0460	176	7.1244
0.0462	177	7.3093
0.0465	178	7.5494
0.0467	179	7.7963
0.0470	180	7.2434
0.0473	181	6.2933
0.0475	182	7.1565
0.0478	183	6.7382
0.0481	184	6.935
0.0483	185	6.9179
0.0486	186	6.9681
0.0488	187	6.6834
0.0491	188	6.408
0.0494	189	6.8532
0.0496	190	6.9498
0.0499	191	7.1127
0.0501	192	7.0704
0.0504	193	6.0664
0.0507	194	6.6029
0.0509	195	5.8906
0.0512	196	7.0834
0.0514	197	7.1391
0.0517	198	6.5711
0.0520	199	6.6407
0.0522	200	5.5556
0.0525	201	6.3444
0.0528	202	7.0272
0.0530	203	6.2549
0.0533	204	6.6024
0.0535	205	6.3501
0.0538	206	6.3999
0.0541	207	6.4711
0.0543	208	6.6516
0.0546	209	6.3225
0.0548	210	6.6084
0.0551	211	6.2606
0.0554	212	6.8112
0.0556	213	6.3443
0.0559	214	6.0834
0.0562	215	6.6182
0.0564	216	6.5238
0.0567	217	6.4451
0.0569	218	6.6879
0.0572	219	7.1048
0.0575	220	6.528
0.0577	221	6.759
0.0580	222	6.32
0.0582	223	6.2726
0.0585	224	5.8013
0.0588	225	6.0266
0.0590	226	6.6184
0.0593	227	6.9936
0.0595	228	6.5822
0.0598	229	6.7435
0.0601	230	6.4187
0.0603	231	7.3536
0.0606	232	6.8078
0.0609	233	6.3785
0.0611	234	6.6159
0.0614	235	5.6944
0.0616	236	6.8739
0.0619	237	6.4356
0.0622	238	6.5505
0.0624	239	6.4201
0.0627	240	6.8032
0.0629	241	6.3995
0.0632	242	6.2935
0.0635	243	6.0353
0.0637	244	6.2508
0.0640	245	6.5214
0.0642	246	5.9827
0.0645	247	6.2837
0.0648	248	6.3255
0.0650	249	6.3662
0.0653	250	7.618
0.0656	251	6.7046
0.0658	252	6.7575
0.0661	253	5.8629
0.0663	254	6.265
0.0666	255	6.1753
0.0669	256	5.9878
0.0671	257	6.1247
0.0674	258	6.0476
0.0676	259	7.0562
0.0679	260	6.2515
0.0682	261	6.2467
0.0684	262	6.7162
0.0687	263	6.3846
0.0689	264	6.1876
0.0692	265	6.5304
0.0695	266	6.4323
0.0697	267	5.9315
0.0700	268	5.95
0.0703	269	6.51
0.0705	270	5.9267
0.0708	271	6.0158
0.0710	272	6.4538
0.0713	273	6.2913
0.0716	274	6.1954
0.0718	275	5.5056
0.0721	276	6.6367
0.0723	277	5.4973
0.0726	278	5.7568
0.0729	279	6.72
0.0731	280	6.8529
0.0734	281	6.5128
0.0736	282	6.303
0.0739	283	6.1459
0.0742	284	6.2321
0.0744	285	5.7196
0.0747	286	6.058
0.0750	287	5.2406
0.0752	288	6.0829
0.0755	289	5.9851
0.0757	290	5.3537
0.0760	291	5.6394
0.0763	292	6.5007
0.0765	293	6.4405
0.0768	294	6.4104
0.0770	295	6.2589
0.0773	296	5.8514
0.0776	297	7.0445
0.0778	298	5.2054
0.0781	299	6.2228
0.0783	300	5.961
0.0786	301	6.8418
0.0789	302	6.2739
0.0791	303	6.033
0.0794	304	6.0921
0.0797	305	6.2165
0.0799	306	6.4691
0.0802	307	6.111
0.0804	308	6.0615
0.0807	309	6.4261
0.0810	310	6.0572
0.0812	311	5.8215
0.0815	312	5.9449
0.0817	313	6.3006
0.0820	314	5.4556
0.0823	315	6.0569
0.0825	316	5.9073
0.0828	317	5.5877
0.0831	318	6.2065
0.0833	319	5.6535
0.0836	320	6.0299
0.0838	321	5.9449
0.0841	322	6.2634
0.0844	323	6.203
0.0846	324	5.8166
0.0849	325	5.6154
0.0851	326	6.7529
0.0854	327	6.3141
0.0857	328	6.5453
0.0859	329	6.4737
0.0862	330	6.7352
0.0864	331	6.5833
0.0867	332	6.393
0.0870	333	5.8623
0.0872	334	6.3205
0.0875	335	6.303
0.0878	336	6.2023
0.0880	337	6.376
0.0883	338	6.2227
0.0885	339	5.951
0.0888	340	5.5675
0.0891	341	6.2012
0.0893	342	5.891
0.0896	343	6.0501
0.0898	344	5.9971
0.0901	345	6.4033
0.0904	346	5.9699
0.0906	347	6.1679
0.0909	348	5.6746
0.0911	349	5.8079
0.0914	350	6.1378
0.0917	351	5.9232
0.0919	352	5.5771
0.0922	353	6.1069
0.0925	354	5.4514
0.0927	355	5.7824
0.0930	356	6.0636
0.0932	357	5.2049
0.0935	358	5.8718
0.0938	359	6.2722
0.0940	360	6.3504
0.0943	361	6.6398
0.0945	362	6.1182
0.0948	363	5.8441
0.0951	364	6.3329
0.0953	365	5.9969
0.0956	366	5.9871
0.0958	367	6.0858
0.0961	368	5.6498
0.0964	369	5.9626
0.0966	370	5.6787
0.0969	371	6.802
0.0972	372	5.8423
0.0974	373	5.7416
0.0977	374	5.4622
0.0979	375	5.8618
0.0982	376	6.2851
0.0985	377	5.1705
0.0987	378	6.2103
0.0990	379	5.5584
0.0992	380	5.7965
0.0995	381	5.3705
0.0998	382	5.9672
0.1000	383	6.6614
0.1003	384	6.6875
0.1005	385	6.5955
0.1008	386	6.0174
0.1011	387	5.7283
0.1013	388	5.307
0.1016	389	6.3858
0.1019	390	6.0507
0.1021	391	5.5449
0.1024	392	4.984
0.1026	393	5.2925
0.1029	394	5.58
0.1032	395	6.3282
0.1034	396	6.3644
0.1037	397	6.1937
0.1039	398	5.5784
0.1042	399	6.0535
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0.1050	402	5.7127
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0.1055	404	5.8657
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0.1060	406	5.4221
0.1063	407	6.0381
0.1066	408	5.4677
0.1068	409	6.2268
0.1071	410	6.1958
0.1073	411	6.4093
0.1076	412	5.9588
0.1079	413	5.7654
0.1081	414	5.9954
0.1084	415	5.369
0.1086	416	6.2118
0.1089	417	5.9201
0.1092	418	6.1113
0.1094	419	5.6071
0.1097	420	6.7666
0.1100	421	6.6647
0.1102	422	5.8505
0.1105	423	5.7156
0.1107	424	5.1373
0.1110	425	6.244
0.1113	426	5.8229
0.1115	427	6.2752
0.1118	428	6.0228
0.1120	429	5.3636
0.1123	430	6.4547
0.1126	431	5.7838
0.1128	432	5.7299
0.1131	433	5.5293
0.1133	434	5.9662
0.1136	435	6.5817
0.1139	436	5.7237
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0.1144	438	6.2919
0.1147	439	5.2297
0.1149	440	6.2369
0.1152	441	5.6516
0.1154	442	5.7682
0.1157	443	5.734
0.1160	444	5.7262
0.1162	445	5.2906
0.1165	446	5.3626
0.1167	447	5.3905
0.1170	448	5.3968
0.1173	449	5.6941
0.1175	450	5.3063
0.1178	451	5.1586
0.1180	452	5.5547
0.1183	453	5.5474
0.1186	454	6.2315
0.1188	455	5.6523
0.1191	456	5.7127
0.1194	457	5.6824
0.1196	458	5.3595
0.1199	459	6.1592
0.1201	460	6.1516
0.1204	461	6.2828
0.1207	462	6.4922
0.1209	463	6.3624
0.1212	464	6.2745
0.1214	465	5.9575
0.1217	466	5.8743
0.1220	467	5.4283
0.1222	468	5.4184
0.1225	469	5.6043
0.1227	470	5.8193
0.1230	471	4.8837
0.1233	472	6.0319
0.1235	473	6.2264
0.1238	474	6.4235
0.1241	475	5.6788
0.1243	476	5.3654
0.1246	477	6.1273
0.1248	478	5.3953
0.1251	479	5.9479
0.1254	480	5.3233
0.1256	481	5.633
0.1259	482	5.8924
0.1261	483	5.4146
0.1264	484	6.5363
0.1267	485	5.9025
0.1269	486	6.1307
0.1272	487	5.929
0.1274	488	5.9115
0.1277	489	5.303
0.1280	490	5.4171
0.1282	491	5.7537
0.1285	492	5.8235
0.1288	493	5.874
0.1290	494	5.6104
0.1293	495	5.752
0.1295	496	5.8784
0.1298	497	6.515
0.1301	498	6.3185
0.1303	499	5.6927
0.1306	500	5.5756
0.1308	501	5.7234
0.1311	502	6.3167
0.1314	503	6.0453
0.1316	504	6.3701
0.1319	505	6.0429
0.1321	506	5.3315
0.1324	507	5.5594
0.1327	508	5.5337
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0.1332	510	5.9046
0.1335	511	5.8807
0.1337	512	5.6341
0.1340	513	6.3848
0.1342	514	5.8522
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0.1350	517	5.7501
0.1353	518	5.5937
0.1355	519	5.7238
0.1358	520	6.1663
0.1361	521	5.3622
0.1363	522	5.836
0.1366	523	6.0669
0.1369	524	6.1619
0.1371	525	5.4315
0.1374	526	5.8931
0.1376	527	5.5319
0.1379	528	6.191
0.1382	529	5.1621
0.1384	530	6.3049
0.1387	531	5.4871
0.1389	532	5.8757
0.1392	533	5.9087
0.1395	534	5.1862
0.1397	535	6.4274
0.1400	536	5.4738
0.1402	537	6.3569
0.1405	538	5.2714
0.1408	539	6.041
0.1410	540	5.5833
0.1413	541	5.4946
0.1416	542	5.7871
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0.1421	544	6.2816
0.1423	545	5.5979
0.1426	546	5.5282
0.1429	547	6.0401
0.1431	548	5.4868
0.1434	549	5.2217
0.1436	550	5.5762
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0.1442	552	5.616
0.1444	553	6.1032
0.1447	554	5.2116
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0.1452	556	5.2518
0.1455	557	5.8671
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0.1460	559	6.0596
0.1463	560	5.1476
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0.1468	562	5.7276
0.1470	563	5.8873
0.1473	564	6.1236
0.1476	565	5.4738
0.1478	566	6.0877
0.1481	567	6.2322
0.1483	568	5.6806
0.1486	569	5.6185
0.1489	570	5.5723
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0.1643	629	6.2849
0.1645	630	5.1466
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0.1651	632	5.3442
0.1653	633	5.989
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0.1737	665	6.3503
0.1739	666	5.7132
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0.1750	670	5.8872
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0.1755	672	6.0835
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0.1857	711	5.6314
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0.1862	713	5.4406
0.1865	714	5.9093
0.1867	715	5.5026
0.1870	716	5.5748
0.1873	717	6.8901
0.1875	718	5.8305
0.1878	719	5.5264
0.1880	720	5.1739
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0.1886	722	5.8721
0.1888	723	5.387
0.1891	724	4.8271
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0.1899	727	6.2239
0.1901	728	4.7985
0.1904	729	5.1459
0.1907	730	5.709
0.1909	731	5.4233
0.1912	732	6.2935
0.1914	733	5.6296
0.1917	734	5.9846
0.1920	735	5.6742
0.1922	736	5.252
0.1925	737	6.1573
0.1927	738	5.9204
0.1930	739	5.6156
0.1933	740	5.5819
0.1935	741	5.9007
0.1938	742	5.3348
0.1940	743	5.8383
0.1943	744	5.4541
0.1946	745	6.1515
0.1948	746	5.4075
0.1951	747	5.8524
0.1954	748	5.0598
0.1956	749	5.3448
0.1959	750	6.2494
0.1961	751	5.6194
0.1964	752	5.3108
0.1967	753	5.1879
0.1969	754	6.075
0.1972	755	6.1186
0.1974	756	5.912
0.1977	757	5.5618
0.1980	758	4.7998
0.1982	759	5.2679
0.1985	760	5.2931
0.1987	761	5.2355
0.1990	762	5.5045
0.1993	763	5.3583
0.1995	764	5.5486
0.1998	765	5.302
0.2001	766	5.475
0.2003	767	5.9917
0.2006	768	5.7826
0.2008	769	5.3301
0.2011	770	5.4799
0.2014	771	6.1955
0.2016	772	5.2272
0.2019	773	5.6436
0.2021	774	5.6234
0.2024	775	5.3662
0.2027	776	5.477
0.2029	777	5.772
0.2032	778	5.816
0.2034	779	5.2933
0.2037	780	5.4467
0.2040	781	5.6499
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0.2050	785	5.9163
0.2053	786	5.8747
0.2055	787	5.8734
0.2058	788	5.3044
0.2061	789	5.6492
0.2063	790	4.9384
0.2066	791	5.1429
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0.2079	796	5.5136
0.2081	797	5.7632
0.2084	798	6.0855
0.2087	799	5.4903
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0.2105	806	4.9064
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0.2110	808	4.7975
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0.2118	811	5.1795
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0.2183	836	5.8777
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0.2390	915	5.7759
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0.2418	926	5.6207
0.2421	927	6.1011
0.2424	928	5.5282
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0.2429	930	5.8598
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0.2434	932	5.7311
0.2437	933	5.6633
0.2439	934	5.332
0.2442	935	6.0452
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0.2447	937	5.3764
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0.2452	939	5.0978
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0.2463	943	5.5411
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0.2515	963	6.0411
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0.2554	978	4.7416
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0.2565	982	5.746
0.2567	983	5.8336
0.2570	984	4.9258
0.2572	985	5.6654
0.2575	986	5.5536
0.2578	987	6.0993
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0.2596	994	5.5683
0.2599	995	5.2296
0.2601	996	5.3384
0.2604	997	5.4003
0.2606	998	5.6173
0.2609	999	5.7789
0.2612	1000	5.2442
0.2614	1001	5.5635
0.2617	1002	5.4306
0.2619	1003	5.0521
0.2622	1004	5.1493
0.2625	1005	5.2756
0.2627	1006	4.8817
0.2630	1007	6.018
0.2633	1008	5.9386
0.2635	1009	6.001
0.2638	1010	5.7054
0.2640	1011	5.6639
0.2643	1012	5.5456
0.2646	1013	5.0327
0.2648	1014	5.5161
0.2651	1015	5.2952
0.2653	1016	5.611
0.2656	1017	5.8283
0.2659	1018	5.2759
0.2661	1019	5.6497
0.2664	1020	5.8408
0.2666	1021	6.2114
0.2669	1022	5.2553
0.2672	1023	5.8109
0.2674	1024	5.6136
0.2677	1025	5.4756
0.2680	1026	6.1244
0.2682	1027	4.9356
0.2685	1028	5.5337
0.2687	1029	5.8526
0.2690	1030	5.0508
0.2693	1031	5.3185
0.2695	1032	6.3707
0.2698	1033	5.4
0.2700	1034	5.2209
0.2703	1035	5.4365
0.2706	1036	5.7096
0.2708	1037	5.7128
0.2711	1038	5.4969
0.2714	1039	6.2063
0.2716	1040	5.1788
0.2719	1041	5.8865
0.2721	1042	5.9162
0.2724	1043	5.8113
0.2727	1044	5.4214
0.2729	1045	5.996
0.2732	1046	5.9538
0.2734	1047	5.3877
0.2737	1048	4.9047
0.2740	1049	5.1872
0.2742	1050	5.5793
0.2745	1051	5.4811
0.2747	1052	5.3911
0.2750	1053	4.8177
0.2753	1054	5.0409
0.2755	1055	5.5773
0.2758	1056	5.6323
0.2761	1057	5.3106
0.2763	1058	5.466
0.2766	1059	5.3488
0.2768	1060	5.2936
0.2771	1061	5.4396
0.2774	1062	5.2961
0.2776	1063	5.1737
0.2779	1064	5.0512
0.2781	1065	4.9112
0.2784	1066	5.6859
0.2787	1067	5.7408
0.2789	1068	5.7305
0.2792	1069	5.7423
0.2794	1070	5.6169
0.2797	1071	6.4388
0.2800	1072	5.3105
0.2802	1073	5.4391
0.2805	1074	5.9154
0.2808	1075	5.4914
0.2810	1076	4.9157
0.2813	1077	5.651
0.2815	1078	5.0978
0.2818	1079	5.4727
0.2821	1080	6.0934
0.2823	1081	5.331
0.2826	1082	5.4705
0.2828	1083	6.0406
0.2831	1084	6.1097
0.2834	1085	5.4936
0.2836	1086	4.9918
0.2839	1087	5.9716
0.2841	1088	5.4913
0.2844	1089	5.373
0.2847	1090	5.9469
0.2849	1091	5.1636
0.2852	1092	5.3463
0.2855	1093	5.6715
0.2857	1094	5.6467
0.2860	1095	5.3077
0.2862	1096	5.0298
0.2865	1097	5.4911
0.2868	1098	5.3765
0.2870	1099	5.6997
0.2873	1100	5.2532
0.2875	1101	5.6817
0.2878	1102	5.5135
0.2881	1103	5.735
0.2883	1104	5.4781
0.2886	1105	5.7985
0.2888	1106	4.9755
0.2891	1107	5.3813
0.2894	1108	5.2217
0.2896	1109	5.146
0.2899	1110	5.9078
0.2902	1111	5.3593
0.2904	1112	4.7645
0.2907	1113	5.8527
0.2909	1114	5.6711
0.2912	1115	5.7382
0.2915	1116	5.5781
0.2917	1117	5.9161
0.2920	1118	5.4165
0.2922	1119	5.8968
0.2925	1120	5.3888
0.2928	1121	5.9074
0.2930	1122	5.4316
0.2933	1123	5.9087
0.2935	1124	5.2609
0.2938	1125	4.8858
0.2941	1126	5.0528
0.2943	1127	5.1902
0.2946	1128	6.3594
0.2949	1129	5.6083
0.2951	1130	5.9332
0.2954	1131	5.281
0.2956	1132	5.2314
0.2959	1133	5.7051
0.2962	1134	5.7352
0.2964	1135	5.2754
0.2967	1136	5.4633
0.2969	1137	5.4615
0.2972	1138	5.6795
0.2975	1139	5.5014
0.2977	1140	5.853
0.2980	1141	5.1966
0.2983	1142	5.9962
0.2985	1143	6.1608
0.2988	1144	5.7611
0.2990	1145	5.9245
0.2993	1146	4.9346
0.2996	1147	5.9349
0.2998	1148	6.1536
0.3001	1149	5.9925
0.3003	1150	4.7946
0.3006	1151	5.4244
0.3009	1152	5.9385
0.3011	1153	5.194
0.3014	1154	5.4121
0.3016	1155	5.2677
0.3019	1156	4.5109
0.3022	1157	5.143
0.3024	1158	5.1651
0.3027	1159	4.9551
0.3030	1160	5.0078
0.3032	1161	5.6192
0.3035	1162	5.2367
0.3037	1163	4.9135
0.3040	1164	4.8607
0.3043	1165	5.2139
0.3045	1166	5.4343
0.3048	1167	5.5363
0.3050	1168	5.4569
0.3053	1169	5.8663
0.3056	1170	5.2217
0.3058	1171	5.2134
0.3061	1172	6.8288
0.3063	1173	5.3097
0.3066	1174	5.9701
0.3069	1175	5.1301
0.3071	1176	5.2884
0.3074	1177	5.2831
0.3077	1178	5.4211
0.3079	1179	5.5545
0.3082	1180	4.8507
0.3084	1181	5.1666
0.3087	1182	5.1809
0.3090	1183	5.609
0.3092	1184	5.5004
0.3095	1185	5.8867
0.3097	1186	5.2607
0.3100	1187	4.7657
0.3103	1188	4.8442
0.3105	1189	6.1422
0.3108	1190	5.3696
0.3110	1191	5.3873
0.3113	1192	5.0552
0.3116	1193	5.0709
0.3118	1194	5.5203
0.3121	1195	5.7951
0.3124	1196	6.0175
0.3126	1197	5.7899
0.3129	1198	5.0467
0.3131	1199	4.7958
0.3134	1200	6.0377
0.3137	1201	4.8982
0.3139	1202	5.4119
0.3142	1203	5.2559
0.3144	1204	5.4239
0.3147	1205	5.2203
0.3150	1206	5.6323
0.3152	1207	5.5883
0.3155	1208	5.5127
0.3157	1209	5.3098
0.3160	1210	4.9727
0.3163	1211	5.0269
0.3165	1212	5.3614
0.3168	1213	5.6277
0.3171	1214	5.6436
0.3173	1215	5.9736
0.3176	1216	5.8964
0.3178	1217	4.7588
0.3181	1218	5.2144
0.3184	1219	6.39
0.3186	1220	5.717
0.3189	1221	6.2588
0.3191	1222	5.5156
0.3194	1223	5.2875
0.3197	1224	5.2836
0.3199	1225	5.184
0.3202	1226	5.8369
0.3204	1227	5.6085
0.3207	1228	5.2276
0.3210	1229	5.3069
0.3212	1230	5.3271
0.3215	1231	5.4643
0.3218	1232	5.5761
0.3220	1233	5.8796
0.3223	1234	5.9093
0.3225	1235	6.123
0.3228	1236	5.7172
0.3231	1237	5.3712
0.3233	1238	4.9149
0.3236	1239	4.8674
0.3238	1240	5.0
0.3241	1241	5.2615
0.3244	1242	5.6583
0.3246	1243	5.5498
0.3249	1244	5.4533
0.3252	1245	5.5559
0.3254	1246	5.4779
0.3257	1247	5.0822
0.3259	1248	6.4698
0.3262	1249	5.4874
0.3265	1250	4.9831
0.3267	1251	5.3347
0.3270	1252	5.8951
0.3272	1253	5.9434
0.3275	1254	5.6823
0.3278	1255	5.4816
0.3280	1256	4.8445
0.3283	1257	5.5186
0.3285	1258	5.6812
0.3288	1259	5.5255
0.3291	1260	5.3005
0.3293	1261	4.9279
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0.3299	1263	5.0515
0.3301	1264	5.609
0.3304	1265	5.3565
0.3306	1266	5.0854
0.3309	1267	5.03
0.3312	1268	5.4301
0.3314	1269	5.7485
0.3317	1270	6.3412
0.3319	1271	5.0942
0.3322	1272	5.5655
0.3325	1273	5.9737
0.3327	1274	5.5769
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0.3335	1277	5.7366
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0.3348	1282	5.7591
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0.3356	1285	5.533
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0.3361	1287	5.307
0.3364	1288	4.8673
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0.3369	1290	5.6454
0.3372	1291	5.3756
0.3374	1292	5.0253
0.3377	1293	5.6394
0.3379	1294	4.8625
0.3382	1295	5.5188
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0.3387	1297	5.0319
0.3390	1298	6.2163
0.3393	1299	5.5274
0.3395	1300	5.2869
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0.3400	1302	6.25
0.3403	1303	4.7422
0.3406	1304	5.8922
0.3408	1305	5.2241
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0.3413	1307	5.5796
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0.3421	1310	4.8374
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0.3455	1323	5.398
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0.3460	1325	5.4299
0.3463	1326	4.7955
0.3466	1327	5.1557
0.3468	1328	5.2194
0.3471	1329	5.6913
0.3473	1330	5.2367
0.3476	1331	5.3675
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0.3481	1333	5.3725
0.3484	1334	5.6267
0.3487	1335	5.6928
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0.3492	1337	6.0466
0.3494	1338	5.6785
0.3497	1339	5.4029
0.3500	1340	5.0263
0.3502	1341	5.6859
0.3505	1342	5.5883
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0.3513	1345	4.9451
0.3515	1346	5.166
0.3518	1347	5.3444
0.3521	1348	5.5771
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0.3526	1350	5.3918
0.3528	1351	5.3906
0.3531	1352	5.3658
0.3534	1353	5.6923
0.3536	1354	5.6144
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0.3544	1357	4.6948
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0.3549	1359	4.7794
0.3552	1360	5.1144
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0.3557	1362	5.6169
0.3560	1363	6.3002
0.3562	1364	5.0393
0.3565	1365	6.0638
0.3568	1366	5.515
0.3570	1367	4.8371
0.3573	1368	5.3269
0.3575	1369	5.2401
0.3578	1370	5.3536
0.3581	1371	5.8356
0.3583	1372	5.2141
0.3586	1373	4.8983
0.3588	1374	5.0736
0.3591	1375	5.7161
0.3594	1376	4.5213
0.3596	1377	5.0325
0.3599	1378	5.2428
0.3601	1379	4.9
0.3604	1380	5.2117
0.3607	1381	4.9215
0.3609	1382	5.5912
0.3612	1383	5.6263
0.3615	1384	5.7439
0.3617	1385	5.1864
0.3620	1386	5.7669
0.3622	1387	5.49
0.3625	1388	6.0202
0.3628	1389	5.7809
0.3630	1390	5.5011
0.3633	1391	5.3174
0.3635	1392	4.6171
0.3638	1393	5.5578
0.3641	1394	5.3344
0.3643	1395	5.2725
0.3646	1396	4.6225
0.3648	1397	5.6193
0.3651	1398	5.9332
0.3654	1399	4.7246
0.3656	1400	5.5725
0.3659	1401	5.4146
0.3662	1402	6.3149
0.3664	1403	5.0159
0.3667	1404	5.1201
0.3669	1405	5.1403
0.3672	1406	5.879
0.3675	1407	5.0006
0.3677	1408	6.1572
0.3680	1409	5.3767
0.3682	1410	5.5483
0.3685	1411	5.2045
0.3688	1412	5.16
0.3690	1413	5.3152
0.3693	1414	5.4952
0.3695	1415	4.9525
0.3698	1416	5.1969
0.3701	1417	5.4813
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0.3706	1419	5.0939
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0.3711	1421	6.0783
0.3714	1422	5.476
0.3716	1423	5.1065
0.3719	1424	5.0275
0.3722	1425	5.5336
0.3724	1426	4.9963
0.3727	1427	5.9139
0.3729	1428	5.7744
0.3732	1429	6.4145
0.3735	1430	5.6643
0.3737	1431	4.9951
0.3740	1432	5.0881
0.3742	1433	5.0232
0.3745	1434	4.9833
0.3748	1435	4.9994
0.3750	1436	6.1372
0.3753	1437	5.812
0.3756	1438	5.5495
0.3758	1439	5.3967
0.3761	1440	5.8244
0.3763	1441	5.3059
0.3766	1442	5.2532
0.3769	1443	6.262
0.3771	1444	5.3006
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0.3776	1446	5.4314
0.3779	1447	5.0081
0.3782	1448	5.2724
0.3784	1449	4.6716
0.3787	1450	5.4606
0.3790	1451	5.6999
0.3792	1452	5.5515
0.3795	1453	5.7505
0.3797	1454	5.9219
0.3800	1455	4.7998
0.3803	1456	5.0892
0.3805	1457	5.7553
0.3808	1458	5.486
0.3810	1459	5.6827
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0.3818	1462	5.5619
0.3821	1463	6.0945
0.3823	1464	5.9869
0.3826	1465	4.8717
0.3829	1466	6.0476
0.3831	1467	5.1316
0.3834	1468	4.9527
0.3837	1469	4.9278
0.3839	1470	5.1705
0.3842	1471	5.8059
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0.3850	1474	5.3308
0.3852	1475	5.4066
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0.3860	1478	5.155
0.3863	1479	4.7969
0.3865	1480	5.2909
0.3868	1481	5.0142
0.3870	1482	5.7839
0.3873	1483	5.8164
0.3876	1484	5.0745
0.3878	1485	5.709
0.3881	1486	5.1027
0.3884	1487	5.0956
0.3886	1488	5.1907
0.3889	1489	4.8132
0.3891	1490	5.6294
0.3894	1491	4.7497
0.3897	1492	5.3366
0.3899	1493	4.9465
0.3902	1494	5.481
0.3904	1495	6.0111
0.3907	1496	5.5239
0.3910	1497	4.8621
0.3912	1498	5.6378
0.3915	1499	5.5439
0.3917	1500	5.5025
0.3920	1501	5.1553
0.3923	1502	4.9728
0.3925	1503	5.117
0.3928	1504	4.9953
0.3931	1505	4.9385
0.3933	1506	5.0001
0.3936	1507	4.9473
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0.3941	1509	5.1561
0.3944	1510	5.5066
0.3946	1511	5.6925
0.3949	1512	5.1788
0.3951	1513	5.4886
0.3954	1514	5.4482
0.3957	1515	6.113
0.3959	1516	5.775
0.3962	1517	5.4131
0.3964	1518	5.7467
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0.3970	1520	5.8813
0.3972	1521	5.6316
0.3975	1522	4.9758
0.3978	1523	4.6551
0.3980	1524	5.5668
0.3983	1525	5.5145
0.3985	1526	4.9201
0.3988	1527	5.4111
0.3991	1528	5.0959
0.3993	1529	5.9911
0.3996	1530	5.5795
0.3998	1531	4.8487
0.4001	1532	4.9407
0.4004	1533	5.2579
0.4006	1534	5.0356
0.4009	1535	5.2576
0.4011	1536	5.6882
0.4014	1537	4.752
0.4017	1538	5.5363
0.4019	1539	5.0282
0.4022	1540	5.5165
0.4025	1541	5.4981
0.4027	1542	5.3247
0.4030	1543	5.5058
0.4032	1544	5.8032
0.4035	1545	4.9196
0.4038	1546	5.0087
0.4040	1547	5.0006
0.4043	1548	6.0612
0.4045	1549	5.4533
0.4048	1550	5.7832
0.4051	1551	4.8229
0.4053	1552	5.597
0.4056	1553	5.4927
0.4059	1554	4.9935
0.4061	1555	5.7885
0.4064	1556	4.9828
0.4066	1557	5.1526
0.4069	1558	5.023
0.4072	1559	4.6823
0.4074	1560	5.5773
0.4077	1561	5.6576
0.4079	1562	5.3579
0.4082	1563	4.8575
0.4085	1564	4.8211
0.4087	1565	4.8385
0.4090	1566	5.6347
0.4092	1567	5.2527
0.4095	1568	5.5883
0.4098	1569	5.6015
0.4100	1570	5.2821
0.4103	1571	5.3216
0.4106	1572	5.4596
0.4108	1573	5.0364
0.4111	1574	5.2192
0.4113	1575	5.7173
0.4116	1576	5.8166
0.4119	1577	5.777
0.4121	1578	4.8727
0.4124	1579	5.2425
0.4126	1580	5.913
0.4129	1581	5.3414
0.4132	1582	5.3298
0.4134	1583	5.7411
0.4137	1584	5.4946
0.4139	1585	4.7449
0.4142	1586	5.314
0.4145	1587	5.0179
0.4147	1588	5.2798
0.4150	1589	4.6677
0.4153	1590	4.9372
0.4155	1591	5.5517
0.4158	1592	4.9033
0.4160	1593	5.5217
0.4163	1594	5.4114
0.4166	1595	5.6971
0.4168	1596	5.2189
0.4171	1597	5.2116
0.4173	1598	5.2561
0.4176	1599	5.5054
0.4179	1600	4.6423
0.4181	1601	5.4305
0.4184	1602	5.2803
0.4186	1603	5.7018
0.4189	1604	4.7023
0.4192	1605	5.5801
0.4194	1606	5.9366
0.4197	1607	5.1707
0.4200	1608	4.728
0.4202	1609	5.2042
0.4205	1610	5.401
0.4207	1611	4.8403
0.4210	1612	5.857
0.4213	1613	5.5455
0.4215	1614	5.5001
0.4218	1615	6.0517
0.4220	1616	5.2632
0.4223	1617	5.6863
0.4226	1618	5.3546
0.4228	1619	5.3003
0.4231	1620	5.1475
0.4233	1621	5.4256
0.4236	1622	5.3191
0.4239	1623	4.7445
0.4241	1624	4.963
0.4244	1625	4.9654
0.4247	1626	5.6731
0.4249	1627	5.7526
0.4252	1628	5.6373
0.4254	1629	5.4141
0.4257	1630	5.281
0.4260	1631	5.2857
0.4262	1632	5.0501
0.4265	1633	5.3966
0.4267	1634	5.4345
0.4270	1635	5.6554
0.4273	1636	4.8107
0.4275	1637	5.5282
0.4278	1638	5.1614
0.4280	1639	5.4178
0.4283	1640	4.7341
0.4286	1641	5.5649
0.4288	1642	5.0583
0.4291	1643	4.4394
0.4294	1644	5.4619
0.4296	1645	5.137
0.4299	1646	4.5514
0.4301	1647	5.268
0.4304	1648	5.5624
0.4307	1649	5.6896
0.4309	1650	4.8034
0.4312	1651	5.3087
0.4314	1652	5.8269
0.4317	1653	4.7175
0.4320	1654	5.368
0.4322	1655	5.1016
0.4325	1656	5.7612
0.4328	1657	4.3325
0.4330	1658	4.5945
0.4333	1659	5.4995
0.4335	1660	5.1453
0.4338	1661	5.5632
0.4341	1662	5.0691
0.4343	1663	5.1515
0.4346	1664	6.156
0.4348	1665	5.9605
0.4351	1666	5.2996
0.4354	1667	5.4519
0.4356	1668	5.2056
0.4359	1669	5.2329
0.4361	1670	5.6932
0.4364	1671	5.7143
0.4367	1672	5.4644
0.4369	1673	5.4253
0.4372	1674	6.1654
0.4375	1675	4.867
0.4377	1676	5.2294
0.4380	1677	5.3395
0.4382	1678	5.1633
0.4385	1679	5.0873
0.4388	1680	4.9189
0.4390	1681	5.7214
0.4393	1682	5.0672
0.4395	1683	4.7077
0.4398	1684	5.6089
0.4401	1685	4.8907
0.4403	1686	5.4147
0.4406	1687	4.2982
0.4408	1688	5.9382
0.4411	1689	5.5914
0.4414	1690	5.3947
0.4416	1691	5.4206
0.4419	1692	5.3766
0.4422	1693	5.0531
0.4424	1694	5.2575
0.4427	1695	5.397
0.4429	1696	5.1123
0.4432	1697	5.5249
0.4435	1698	5.4467
0.4437	1699	6.0549
0.4440	1700	4.8901
0.4442	1701	4.669
0.4445	1702	5.1833
0.4448	1703	5.3755
0.4450	1704	5.1006
0.4453	1705	5.5573
0.4455	1706	5.3861
0.4458	1707	5.9148
0.4461	1708	5.0539
0.4463	1709	4.7252
0.4466	1710	4.8987
0.4469	1711	5.2409
0.4471	1712	5.5695
0.4474	1713	4.7129
0.4476	1714	5.8773
0.4479	1715	5.4611
0.4482	1716	5.2583
0.4484	1717	5.7982
0.4487	1718	5.4699
0.4489	1719	5.5237
0.4492	1720	5.1863
0.4495	1721	5.5667
0.4497	1722	4.9599
0.4500	1723	5.4192
0.4502	1724	5.1945
0.4505	1725	5.0974
0.4508	1726	5.4327
0.4510	1727	5.2784
0.4513	1728	4.6449
0.4516	1729	5.1102
0.4518	1730	5.2135
0.4521	1731	5.4423
0.4523	1732	4.9978
0.4526	1733	6.2366
0.4529	1734	5.8996
0.4531	1735	5.5176
0.4534	1736	4.7835
0.4536	1737	5.2226
0.4539	1738	5.3127
0.4542	1739	4.9711
0.4544	1740	4.8284
0.4547	1741	5.386
0.4549	1742	5.0648
0.4552	1743	5.0046
0.4555	1744	5.319
0.4557	1745	5.1693
0.4560	1746	5.2167
0.4563	1747	5.4029
0.4565	1748	4.8552
0.4568	1749	4.9434
0.4570	1750	4.303
0.4573	1751	4.8395
0.4576	1752	4.8167
0.4578	1753	5.3024
0.4581	1754	5.2406
0.4583	1755	5.0989
0.4586	1756	5.3457
0.4589	1757	4.978
0.4591	1758	4.7191
0.4594	1759	6.1105
0.4597	1760	5.6471
0.4599	1761	5.4074
0.4602	1762	5.3421
0.4604	1763	4.7158
0.4607	1764	5.6146
0.4610	1765	5.6809
0.4612	1766	4.9066
0.4615	1767	4.8758
0.4617	1768	5.2397
0.4620	1769	5.7398
0.4623	1770	5.5416
0.4625	1771	5.1061
0.4628	1772	5.3393
0.4630	1773	5.9946
0.4633	1774	5.558
0.4636	1775	5.4229
0.4638	1776	5.5554
0.4641	1777	5.5774
0.4644	1778	5.2065
0.4646	1779	5.6769
0.4649	1780	4.8824
0.4651	1781	5.1764
0.4654	1782	5.6342
0.4657	1783	5.4374
0.4659	1784	5.9006
0.4662	1785	5.3374
0.4664	1786	4.6935
0.4667	1787	5.2424
0.4670	1788	5.2483
0.4672	1789	5.0341
0.4675	1790	5.1486
0.4677	1791	4.9859
0.4680	1792	5.7738
0.4683	1793	5.5717
0.4685	1794	5.6171
0.4688	1795	4.8776
0.4691	1796	5.4696
0.4693	1797	5.0334
0.4696	1798	4.8272
0.4698	1799	6.1006
0.4701	1800	5.2553
0.4704	1801	5.5865
0.4706	1802	5.4022
0.4709	1803	5.8273
0.4711	1804	5.6203
0.4714	1805	5.1928
0.4717	1806	5.0866
0.4719	1807	5.4945
0.4722	1808	5.0485
0.4724	1809	5.4053
0.4727	1810	5.457
0.4730	1811	4.815
0.4732	1812	5.4967
0.4735	1813	5.8783
0.4738	1814	4.9805
0.4740	1815	5.0197
0.4743	1816	5.3679
0.4745	1817	5.4462
0.4748	1818	5.5322
0.4751	1819	4.7373
0.4753	1820	6.0122
0.4756	1821	5.5487
0.4758	1822	5.4787
0.4761	1823	5.743
0.4764	1824	5.2477
0.4766	1825	5.3211
0.4769	1826	4.4467
0.4771	1827	5.2274
0.4774	1828	4.8177
0.4777	1829	4.7159
0.4779	1830	5.1076
0.4782	1831	4.415
0.4785	1832	5.2433
0.4787	1833	5.3619
0.4790	1834	5.8681
0.4792	1835	5.0442
0.4795	1836	5.1425
0.4798	1837	5.0084
0.4800	1838	5.0687
0.4803	1839	5.3787
0.4805	1840	5.6467
0.4808	1841	5.4856
0.4811	1842	5.5872
0.4813	1843	4.9195
0.4816	1844	5.3361
0.4818	1845	5.567
0.4821	1846	5.1453
0.4824	1847	5.2244
0.4826	1848	6.163
0.4829	1849	5.5602
0.4832	1850	5.8548
0.4834	1851	5.6972
0.4837	1852	4.4946
0.4839	1853	5.504
0.4842	1854	5.7985
0.4845	1855	4.8474
0.4847	1856	4.9238
0.4850	1857	5.4497
0.4852	1858	5.0339
0.4855	1859	4.827
0.4858	1860	5.5253
0.4860	1861	4.6687
0.4863	1862	5.2123
0.4866	1863	5.6452
0.4868	1864	5.367
0.4871	1865	5.3205
0.4873	1866	4.3566
0.4876	1867	5.1319
0.4879	1868	5.6161
0.4881	1869	5.5128
0.4884	1870	5.2568
0.4886	1871	4.6679
0.4889	1872	5.206
0.4892	1873	5.903
0.4894	1874	5.3344
0.4897	1875	5.8587
0.4899	1876	5.0135
0.4902	1877	5.1255
0.4905	1878	5.776
0.4907	1879	5.818
0.4910	1880	5.0702
0.4913	1881	5.1689
0.4915	1882	5.4885
0.4918	1883	4.5685
0.4920	1884	5.431
0.4923	1885	5.357
0.4926	1886	4.7956
0.4928	1887	5.3476
0.4931	1888	4.8442
0.4933	1889	6.1702
0.4936	1890	5.7392
0.4939	1891	5.4576
0.4941	1892	5.7771
0.4944	1893	5.4697
0.4946	1894	5.649
0.4949	1895	5.6513
0.4952	1896	5.4172
0.4954	1897	5.1649
0.4957	1898	4.3912
0.4960	1899	5.6162
0.4962	1900	4.8143
0.4965	1901	5.4447
0.4967	1902	5.0294
0.4970	1903	5.031
0.4973	1904	4.8923
0.4975	1905	4.8014
0.4978	1906	4.7558
0.4980	1907	4.4831
0.4983	1908	4.9883
0.4986	1909	5.1906
0.4988	1910	5.1809
0.4991	1911	5.3905
0.4993	1912	5.5605
0.4996	1913	5.147
0.4999	1914	6.0142
0.5001	1915	5.1703
0.5004	1916	5.2011
0.5007	1917	4.7684
0.5009	1918	5.1294
0.5012	1919	5.3636
0.5014	1920	5.4833
0.5017	1921	6.0433
0.5020	1922	5.684
0.5022	1923	5.6852
0.5025	1924	5.8626
0.5027	1925	5.0066
0.5030	1926	4.7196
0.5033	1927	5.0823
0.5035	1928	5.7162
0.5038	1929	5.1397
0.5040	1930	5.0531
0.5043	1931	5.5305
0.5046	1932	5.5347
0.5048	1933	5.0625
0.5051	1934	5.2596
0.5054	1935	5.4568
0.5056	1936	5.2709
0.5059	1937	5.0957
0.5061	1938	5.225
0.5064	1939	4.5868
0.5067	1940	5.5133
0.5069	1941	5.5157
0.5072	1942	5.7131
0.5074	1943	5.206
0.5077	1944	5.1926
0.5080	1945	4.9586
0.5082	1946	5.2285
0.5085	1947	5.5331
0.5087	1948	5.6074
0.5090	1949	5.1596
0.5093	1950	5.1732
0.5095	1951	5.4642
0.5098	1952	5.2457
0.5101	1953	4.9412
0.5103	1954	5.0773
0.5106	1955	4.6969
0.5108	1956	4.9808
0.5111	1957	5.4271
0.5114	1958	4.652
0.5116	1959	5.6167
0.5119	1960	5.3703
0.5121	1961	5.4106
0.5124	1962	5.3102
0.5127	1963	5.6003
0.5129	1964	5.166
0.5132	1965	4.967
0.5134	1966	4.8938
0.5137	1967	6.2327
0.5140	1968	5.1597
0.5142	1969	5.3603
0.5145	1970	5.1835
0.5148	1971	4.7431
0.5150	1972	5.2546
0.5153	1973	5.1634
0.5155	1974	6.0693
0.5158	1975	5.2224
0.5161	1976	5.068
0.5163	1977	4.7097
0.5166	1978	5.7599
0.5168	1979	5.9526
0.5171	1980	5.7782
0.5174	1981	5.2351
0.5176	1982	5.1683
0.5179	1983	4.8553
0.5182	1984	5.026
0.5184	1985	5.0976
0.5187	1986	5.4893
0.5189	1987	4.915
0.5192	1988	5.038
0.5195	1989	5.7217
0.5197	1990	4.9438
0.5200	1991	4.9163
0.5202	1992	5.4423
0.5205	1993	4.8907
0.5208	1994	5.0464
0.5210	1995	5.0017
0.5213	1996	5.0653
0.5215	1997	5.1906
0.5218	1998	4.9499
0.5221	1999	5.4849
0.5223	2000	5.5947
0.5226	2001	4.8976
0.5229	2002	5.3555
0.5231	2003	5.019
0.5234	2004	4.9914
0.5236	2005	4.9013
0.5239	2006	5.148
0.5242	2007	4.9526
0.5244	2008	5.0681
0.5247	2009	5.358
0.5249	2010	5.2884
0.5252	2011	5.286
0.5255	2012	5.607
0.5257	2013	5.5943
0.5260	2014	5.3239
0.5262	2015	4.2444
0.5265	2016	5.1347
0.5268	2017	5.9491
0.5270	2018	5.1218
0.5273	2019	5.1479
0.5276	2020	5.2611
0.5278	2021	5.2757
0.5281	2022	5.5108
0.5283	2023	5.0925
0.5286	2024	5.1179
0.5289	2025	5.5278
0.5291	2026	5.1096
0.5294	2027	4.9394
0.5296	2028	5.55
0.5299	2029	5.978
0.5302	2030	5.6274
0.5304	2031	4.8455
0.5307	2032	5.2294
0.5309	2033	5.584
0.5312	2034	5.1694
0.5315	2035	5.431
0.5317	2036	5.3765
0.5320	2037	6.2436
0.5323	2038	5.1816
0.5325	2039	5.8883
0.5328	2040	5.5821
0.5330	2041	4.6407
0.5333	2042	5.4175
0.5336	2043	5.7709
0.5338	2044	6.0613
0.5341	2045	4.6439
0.5343	2046	5.6319
0.5346	2047	5.5904
0.5349	2048	5.2804
0.5351	2049	5.5868
0.5354	2050	5.0636
0.5356	2051	5.3649
0.5359	2052	6.1864
0.5362	2053	4.9527
0.5364	2054	5.29
0.5367	2055	4.8521
0.5370	2056	5.6959
0.5372	2057	4.7605
0.5375	2058	5.2671
0.5377	2059	5.109
0.5380	2060	5.356
0.5383	2061	5.2989
0.5385	2062	5.0122
0.5388	2063	5.2815
0.5390	2064	5.0143
0.5393	2065	5.521
0.5396	2066	5.594
0.5398	2067	4.8191
0.5401	2068	5.039
0.5403	2069	5.3103
0.5406	2070	5.418
0.5409	2071	5.429
0.5411	2072	5.3002
0.5414	2073	6.3435
0.5417	2074	5.25
0.5419	2075	5.1784
0.5422	2076	4.3779
0.5424	2077	5.1107
0.5427	2078	5.6719
0.5430	2079	5.5758
0.5432	2080	5.2083
0.5435	2081	5.505
0.5437	2082	4.892
0.5440	2083	5.0662
0.5443	2084	5.0574
0.5445	2085	5.2532
0.5448	2086	4.9788
0.5451	2087	5.4435
0.5453	2088	5.4703
0.5456	2089	5.2916
0.5458	2090	5.4958
0.5461	2091	5.2266
0.5464	2092	5.6097
0.5466	2093	5.4024
0.5469	2094	5.7381
0.5471	2095	5.8712
0.5474	2096	4.3528
0.5477	2097	5.343
0.5479	2098	5.271
0.5482	2099	5.4964
0.5484	2100	5.4486
0.5487	2101	5.9348
0.5490	2102	4.8537
0.5492	2103	5.5191
0.5495	2104	5.3489
0.5498	2105	5.0748
0.5500	2106	4.929
0.5503	2107	5.6675
0.5505	2108	4.7429
0.5508	2109	5.428
0.5511	2110	5.4424
0.5513	2111	5.0317
0.5516	2112	5.5789
0.5518	2113	5.1565
0.5521	2114	5.6998
0.5524	2115	5.8385
0.5526	2116	4.5525
0.5529	2117	5.58
0.5531	2118	5.0466
0.5534	2119	5.7623
0.5537	2120	4.6752
0.5539	2121	5.1071
0.5542	2122	5.3294
0.5545	2123	5.2727
0.5547	2124	5.0877
0.5550	2125	5.149
0.5552	2126	4.8511
0.5555	2127	5.1882
0.5558	2128	5.4614
0.5560	2129	5.5931
0.5563	2130	5.4132
0.5565	2131	5.3578
0.5568	2132	4.973
0.5571	2133	5.4015
0.5573	2134	4.9218
0.5576	2135	5.053
0.5578	2136	4.9357
0.5581	2137	5.2074
0.5584	2138	5.719
0.5586	2139	5.2612
0.5589	2140	5.381
0.5592	2141	5.4663
0.5594	2142	5.7012
0.5597	2143	5.1835
0.5599	2144	4.8352
0.5602	2145	4.941
0.5605	2146	5.2456
0.5607	2147	6.1973
0.5610	2148	5.5216
0.5612	2149	5.2798
0.5615	2150	5.4727
0.5618	2151	5.1884
0.5620	2152	5.1385
0.5623	2153	5.2058
0.5625	2154	5.5974
0.5628	2155	5.8109
0.5631	2156	5.7697
0.5633	2157	5.7471
0.5636	2158	4.8171
0.5639	2159	5.1883
0.5641	2160	5.2125
0.5644	2161	5.1629
0.5646	2162	5.3882
0.5649	2163	5.4773
0.5652	2164	5.45
0.5654	2165	5.0101
0.5657	2166	5.1414
0.5659	2167	5.3915
0.5662	2168	5.077
0.5665	2169	5.6689
0.5667	2170	5.679
0.5670	2171	5.0807
0.5672	2172	4.5406
0.5675	2173	5.0723
0.5678	2174	5.3192
0.5680	2175	5.1067
0.5683	2176	5.1358
0.5686	2177	4.6299
0.5688	2178	5.8626
0.5691	2179	5.6242
0.5693	2180	4.9325
0.5696	2181	4.8988
0.5699	2182	5.6408
0.5701	2183	5.1612
0.5704	2184	4.7463
0.5706	2185	5.1094
0.5709	2186	5.8891
0.5712	2187	5.7819
0.5714	2188	5.3033
0.5717	2189	6.0996
0.5720	2190	5.6046
0.5722	2191	4.7551
0.5725	2192	5.3697
0.5727	2193	4.9023
0.5730	2194	5.7418
0.5733	2195	5.3101
0.5735	2196	5.7834
0.5738	2197	5.6234
0.5740	2198	5.0575
0.5743	2199	5.9529
0.5746	2200	5.8066
0.5748	2201	5.3115
0.5751	2202	5.3994
0.5753	2203	5.3487
0.5756	2204	5.2753
0.5759	2205	4.8341
0.5761	2206	5.5578
0.5764	2207	4.8495
0.5767	2208	4.9344
0.5769	2209	5.0535
0.5772	2210	5.4691
0.5774	2211	5.7904
0.5777	2212	6.1155
0.5780	2213	5.0085
0.5782	2214	5.5523
0.5785	2215	5.5353
0.5787	2216	5.4456
0.5790	2217	5.4247
0.5793	2218	5.3698
0.5795	2219	5.4137
0.5798	2220	5.4959
0.5800	2221	4.7915
0.5803	2222	5.5713
0.5806	2223	5.6385
0.5808	2224	5.6495
0.5811	2225	5.2698
0.5814	2226	5.7022
0.5816	2227	5.2362
0.5819	2228	5.8188
0.5821	2229	5.0066
0.5824	2230	5.2924
0.5827	2231	5.0824
0.5829	2232	4.9453
0.5832	2233	5.7474
0.5834	2234	6.2216
0.5837	2235	5.6307
0.5840	2236	4.9881
0.5842	2237	5.5639
0.5845	2238	4.8581
0.5847	2239	4.9868
0.5850	2240	4.8501
0.5853	2241	5.0639
0.5855	2242	5.1979
0.5858	2243	5.6139
0.5861	2244	5.2296
0.5863	2245	5.7495
0.5866	2246	5.9532
0.5868	2247	5.5811
0.5871	2248	4.9997
0.5874	2249	5.3083
0.5876	2250	5.5092
0.5879	2251	5.6114
0.5881	2252	5.0798
0.5884	2253	4.8237
0.5887	2254	4.8209
0.5889	2255	5.1254
0.5892	2256	6.3494
0.5894	2257	5.6988
0.5897	2258	4.9831
0.5900	2259	5.6144
0.5902	2260	5.4376
0.5905	2261	5.2223
0.5908	2262	5.4067
0.5910	2263	4.9572
0.5913	2264	5.3169
0.5915	2265	4.3219
0.5918	2266	4.9717
0.5921	2267	5.2194
0.5923	2268	5.3768
0.5926	2269	5.1894
0.5928	2270	5.3066
0.5931	2271	4.6995
0.5934	2272	5.0089
0.5936	2273	4.9257
0.5939	2274	5.6378
0.5941	2275	5.2139
0.5944	2276	6.2463
0.5947	2277	5.0179
0.5949	2278	5.7948
0.5952	2279	5.4809
0.5955	2280	5.6908
0.5957	2281	5.9324
0.5960	2282	5.4551
0.5962	2283	4.8629
0.5965	2284	5.5026
0.5968	2285	5.242
0.5970	2286	5.2124
0.5973	2287	5.1855
0.5975	2288	4.927
0.5978	2289	5.8469
0.5981	2290	5.2486
0.5983	2291	5.1728
0.5986	2292	5.7285
0.5989	2293	5.2327
0.5991	2294	5.5038
0.5994	2295	4.7421
0.5996	2296	4.9838
0.5999	2297	5.2418
0.6002	2298	4.8599
0.6004	2299	5.9423
0.6007	2300	4.8771
0.6009	2301	5.9569
0.6012	2302	4.3825
0.6015	2303	4.8845
0.6017	2304	5.4214
0.6020	2305	5.3841
0.6022	2306	5.3805
0.6025	2307	5.6039
0.6028	2308	4.7015
0.6030	2309	5.271
0.6033	2310	4.7345
0.6036	2311	5.5447
0.6038	2312	5.2296
0.6041	2313	5.4113
0.6043	2314	5.0396
0.6046	2315	4.9203
0.6049	2316	5.8071
0.6051	2317	5.6148
0.6054	2318	5.088
0.6056	2319	4.6348
0.6059	2320	4.9748
0.6062	2321	5.3209
0.6064	2322	4.8222
0.6067	2323	6.1768
0.6069	2324	5.0566
0.6072	2325	5.1795
0.6075	2326	5.1639
0.6077	2327	5.3517
0.6080	2328	5.3407
0.6083	2329	4.6726
0.6085	2330	5.7128
0.6088	2331	5.3319
0.6090	2332	5.1903
0.6093	2333	5.1494
0.6096	2334	5.2226
0.6098	2335	4.848
0.6101	2336	5.1792
0.6103	2337	5.5703
0.6106	2338	5.6122
0.6109	2339	5.63
0.6111	2340	5.6122
0.6114	2341	5.184
0.6116	2342	4.6654
0.6119	2343	5.169
0.6122	2344	5.1111
0.6124	2345	5.4406
0.6127	2346	6.0576
0.6130	2347	5.3801
0.6132	2348	4.9725
0.6135	2349	5.2828
0.6137	2350	4.8281
0.6140	2351	5.0251
0.6143	2352	5.7072
0.6145	2353	5.0368
0.6148	2354	5.8165
0.6150	2355	4.989
0.6153	2356	5.7193
0.6156	2357	5.1479
0.6158	2358	5.1344
0.6161	2359	4.9015
0.6163	2360	5.7268
0.6166	2361	4.7856
0.6169	2362	5.6785
0.6171	2363	4.8779
0.6174	2364	4.9529
0.6177	2365	5.3092
0.6179	2366	5.1146
0.6182	2367	5.7024
0.6184	2368	5.9336
0.6187	2369	5.6495
0.6190	2370	4.3003
0.6192	2371	5.692
0.6195	2372	5.4796
0.6197	2373	5.8327
0.6200	2374	5.4346
0.6203	2375	5.3252
0.6205	2376	5.7006
0.6208	2377	5.7103
0.6210	2378	4.8509
0.6213	2379	5.0329
0.6216	2380	4.7898
0.6218	2381	5.7665
0.6221	2382	5.0441
0.6224	2383	4.8736
0.6226	2384	5.4085
0.6229	2385	5.9133
0.6231	2386	5.4815
0.6234	2387	5.5399
0.6237	2388	4.8179
0.6239	2389	5.1731
0.6242	2390	5.0737
0.6244	2391	5.8171
0.6247	2392	5.4922
0.6250	2393	5.4685
0.6252	2394	5.575
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0.6258	2396	5.1962
0.6260	2397	4.9985
0.6263	2398	4.9894
0.6265	2399	5.2892
0.6268	2400	4.8995
0.6271	2401	5.3874
0.6273	2402	5.2674
0.6276	2403	4.9227
0.6278	2404	5.4689
0.6281	2405	4.7644
0.6284	2406	5.9538
0.6286	2407	5.2438
0.6289	2408	4.513
0.6291	2409	5.1117
0.6294	2410	5.4804
0.6297	2411	5.1971
0.6299	2412	5.2373
0.6302	2413	4.8595
0.6305	2414	5.3189
0.6307	2415	5.4048
0.6310	2416	5.0155
0.6312	2417	5.0332
0.6315	2418	5.4581
0.6318	2419	4.9241
0.6320	2420	5.6655
0.6323	2421	4.9867
0.6325	2422	5.0288
0.6328	2423	5.9082
0.6331	2424	5.098
0.6333	2425	5.3708
0.6336	2426	4.8735
0.6338	2427	5.094
0.6341	2428	5.7445
0.6344	2429	4.6406
0.6346	2430	5.733
0.6349	2431	5.3862
0.6352	2432	4.8525
0.6354	2433	5.1365
0.6357	2434	5.4425
0.6359	2435	5.299
0.6362	2436	5.1811
0.6365	2437	5.9959
0.6367	2438	4.9313
0.6370	2439	4.8785
0.6372	2440	5.0338
0.6375	2441	5.0308
0.6378	2442	4.9866
0.6380	2443	5.0797
0.6383	2444	5.5103
0.6385	2445	5.2405
0.6388	2446	5.447
0.6391	2447	4.6858
0.6393	2448	4.9842
0.6396	2449	5.1203
0.6399	2450	5.1611
0.6401	2451	5.128
0.6404	2452	5.4508
0.6406	2453	5.3428
0.6409	2454	6.1071
0.6412	2455	5.8197
0.6414	2456	5.1646
0.6417	2457	5.1673
0.6419	2458	5.2892
0.6422	2459	5.4532
0.6425	2460	5.4173
0.6427	2461	4.2222
0.6430	2462	4.978
0.6432	2463	4.8664
0.6435	2464	5.5478
0.6438	2465	5.3911
0.6440	2466	4.5677
0.6443	2467	5.3631
0.6446	2468	5.4473
0.6448	2469	5.2288
0.6451	2470	5.1655
0.6453	2471	4.9475
0.6456	2472	5.5412
0.6459	2473	5.0222
0.6461	2474	5.9736
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0.6466	2476	4.4489
0.6469	2477	5.6354
0.6472	2478	5.5047
0.6474	2479	5.4342
0.6477	2480	5.2791
0.6479	2481	5.0997
0.6482	2482	4.8337
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0.6490	2485	5.4127
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0.6498	2488	5.3089
0.6500	2489	4.3616
0.6503	2490	5.3048
0.6506	2491	5.3241
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0.6511	2493	4.5927
0.6513	2494	5.5253
0.6516	2495	4.8101
0.6519	2496	5.222
0.6521	2497	5.8016
0.6524	2498	5.5504
0.6527	2499	5.529
0.6529	2500	5.0936
0.6532	2501	5.0335
0.6534	2502	4.9954
0.6537	2503	4.5308
0.6540	2504	4.7833
0.6542	2505	5.2632
0.6545	2506	4.9824
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0.6550	2508	4.7621
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0.6555	2510	5.2696
0.6558	2511	5.1047
0.6560	2512	4.8793
0.6563	2513	5.9361
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0.6568	2515	5.6275
0.6571	2516	5.514
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0.6576	2518	5.953
0.6579	2519	4.9416
0.6581	2520	5.4657
0.6584	2521	5.4077
0.6587	2522	5.2
0.6589	2523	5.2553
0.6592	2524	5.4062
0.6594	2525	5.6674
0.6597	2526	4.761
0.6600	2527	5.3508
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0.6607	2530	5.9564
0.6610	2531	5.2636
0.6613	2532	5.2702
0.6615	2533	5.0589
0.6618	2534	4.8481
0.6621	2535	4.4364
0.6623	2536	5.0629
0.6626	2537	5.4798
0.6628	2538	4.8162
0.6631	2539	5.2158
0.6634	2540	4.6631
0.6636	2541	5.1307
0.6639	2542	5.7656
0.6641	2543	5.7636
0.6644	2544	5.6764
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0.6657	2549	5.3958
0.6660	2550	4.983
0.6662	2551	5.3707
0.6665	2552	4.7624
0.6668	2553	5.3695
0.6670	2554	4.8645
0.6673	2555	4.9968
0.6675	2556	6.0936
0.6678	2557	5.4118
0.6681	2558	5.5939
0.6683	2559	5.1188
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0.6688	2561	5.2098
0.6691	2562	4.9928
0.6694	2563	5.1881
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0.6699	2565	4.7357
0.6701	2566	5.37
0.6704	2567	5.1046
0.6707	2568	4.9022
0.6709	2569	5.0582
0.6712	2570	4.8479
0.6715	2571	4.4434
0.6717	2572	5.4994
0.6720	2573	4.656
0.6722	2574	5.3872
0.6725	2575	5.2643
0.6728	2576	4.6543
0.6730	2577	5.9188
0.6733	2578	4.9159
0.6735	2579	5.4563
0.6738	2580	5.0092
0.6741	2581	5.6942
0.6743	2582	5.5296
0.6746	2583	5.4733
0.6748	2584	5.465
0.6751	2585	5.7519
0.6754	2586	5.2379
0.6756	2587	4.8509
0.6759	2588	4.8731
0.6762	2589	4.2626
0.6764	2590	4.9382
0.6767	2591	4.7418
0.6769	2592	4.8456
0.6772	2593	5.5325
0.6775	2594	5.3932
0.6777	2595	5.8335
0.6780	2596	4.9539
0.6782	2597	5.4113
0.6785	2598	4.6189
0.6788	2599	5.2307
0.6790	2600	5.3361
0.6793	2601	4.8941
0.6796	2602	5.1019
0.6798	2603	5.1804
0.6801	2604	5.1241
0.6803	2605	5.7955
0.6806	2606	4.6138
0.6809	2607	4.826
0.6811	2608	5.6865
0.6814	2609	4.9387
0.6816	2610	5.37
0.6819	2611	5.2571
0.6822	2612	4.7991
0.6824	2613	5.2528
0.6827	2614	5.7744
0.6829	2615	4.6932
0.6832	2616	5.6808
0.6835	2617	5.575
0.6837	2618	5.5694
0.6840	2619	4.6368
0.6843	2620	4.8335
0.6845	2621	5.1639
0.6848	2622	4.82
0.6850	2623	4.8796
0.6853	2624	5.5276
0.6856	2625	5.469
0.6858	2626	4.9159
0.6861	2627	5.2572
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0.6866	2629	6.0452
0.6869	2630	4.9849
0.6871	2631	4.9392
0.6874	2632	5.1663
0.6876	2633	4.3827
0.6879	2634	5.0966
0.6882	2635	5.0766
0.6884	2636	4.4816
0.6887	2637	5.3261
0.6890	2638	4.7116
0.6892	2639	5.6102
0.6895	2640	5.7463
0.6897	2641	5.4271
0.6900	2642	4.847
0.6903	2643	4.975
0.6905	2644	5.0474
0.6908	2645	5.6384
0.6910	2646	4.9673
0.6913	2647	5.6342
0.6916	2648	4.9424
0.6918	2649	4.9377
0.6921	2650	5.1562
0.6923	2651	5.5854
0.6926	2652	4.5216
0.6929	2653	4.7097
0.6931	2654	5.3305
0.6934	2655	5.2321
0.6937	2656	5.387
0.6939	2657	5.1628
0.6942	2658	5.9355
0.6944	2659	5.0666
0.6947	2660	5.3996
0.6950	2661	5.0114
0.6952	2662	5.0946
0.6955	2663	5.7115
0.6957	2664	5.1553
0.6960	2665	5.4533
0.6963	2666	5.2047
0.6965	2667	5.2913
0.6968	2668	4.6383
0.6970	2669	4.9858
0.6973	2670	4.8696
0.6976	2671	5.2665
0.6978	2672	4.6841
0.6981	2673	5.5904
0.6984	2674	4.3489
0.6986	2675	5.1812
0.6989	2676	5.6937
0.6991	2677	5.4908
0.6994	2678	5.4129
0.6997	2679	5.3111
0.6999	2680	5.6888
0.7002	2681	5.6626
0.7004	2682	4.8602
0.7007	2683	4.7605
0.7010	2684	4.715
0.7012	2685	5.2228
0.7015	2686	4.8636
0.7017	2687	4.7027
0.7020	2688	5.6823
0.7023	2689	5.5099
0.7025	2690	4.7124
0.7028	2691	4.8858
0.7031	2692	5.1073
0.7033	2693	5.2989
0.7036	2694	5.3459
0.7038	2695	4.8029
0.7041	2696	5.6416
0.7044	2697	5.3723
0.7046	2698	5.3221
0.7049	2699	5.0429
0.7051	2700	6.1437
0.7054	2701	5.0249
0.7057	2702	5.3787
0.7059	2703	4.133
0.7062	2704	4.9615
0.7065	2705	5.3747
0.7067	2706	5.2186
0.7070	2707	5.4961
0.7072	2708	5.5992
0.7075	2709	6.0436
0.7078	2710	4.8797
0.7080	2711	5.4608
0.7083	2712	5.3867
0.7085	2713	5.3516
0.7088	2714	5.6971
0.7091	2715	5.2848
0.7093	2716	5.4221
0.7096	2717	4.7256
0.7098	2718	4.5822
0.7101	2719	4.7697
0.7104	2720	5.1755
0.7106	2721	4.8386
0.7109	2722	5.4785
0.7112	2723	5.2733
0.7114	2724	5.5365
0.7117	2725	5.5428
0.7119	2726	4.6351
0.7122	2727	5.5858
0.7125	2728	5.1519
0.7127	2729	5.5366
0.7130	2730	5.1194
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0.7135	2732	4.7593
0.7138	2733	5.3931
0.7140	2734	4.8861
0.7143	2735	5.0677
0.7145	2736	5.4495
0.7148	2737	4.7138
0.7151	2738	5.114
0.7153	2739	4.675
0.7156	2740	4.7797
0.7159	2741	4.6495
0.7161	2742	5.3453
0.7164	2743	5.3164
0.7166	2744	5.8072
0.7169	2745	4.9184
0.7172	2746	4.9778
0.7174	2747	5.1712
0.7177	2748	4.8491
0.7179	2749	5.768
0.7182	2750	4.2384
0.7185	2751	5.1924
0.7187	2752	5.5552
0.7190	2753	5.8187
0.7192	2754	5.6472
0.7195	2755	4.7934
0.7198	2756	5.805
0.7200	2757	5.228
0.7203	2758	4.5894
0.7206	2759	5.547
0.7208	2760	5.2196
0.7211	2761	4.8267
0.7213	2762	5.0305
0.7216	2763	5.479
0.7219	2764	4.8071
0.7221	2765	5.2264
0.7224	2766	4.9821
0.7226	2767	5.1903
0.7229	2768	5.3294
0.7232	2769	5.4045
0.7234	2770	5.4639
0.7237	2771	4.6959
0.7239	2772	5.6011
0.7242	2773	4.9258
0.7245	2774	5.1295
0.7247	2775	5.1955
0.7250	2776	5.322
0.7253	2777	5.6366
0.7255	2778	4.7064
0.7258	2779	5.2702
0.7260	2780	5.3923
0.7263	2781	5.4516
0.7266	2782	4.8877
0.7268	2783	5.2921
0.7271	2784	4.7799
0.7273	2785	5.4912
0.7276	2786	5.6117
0.7279	2787	4.7877
0.7281	2788	5.4638
0.7284	2789	5.0606
0.7286	2790	5.0397
0.7289	2791	5.2809
0.7292	2792	5.5809
0.7294	2793	5.1302
0.7297	2794	5.6809
0.7300	2795	5.2848
0.7302	2796	5.7162
0.7305	2797	5.6911
0.7307	2798	5.3704
0.7310	2799	5.227
0.7313	2800	5.5609
0.7315	2801	5.3964
0.7318	2802	5.5434
0.7320	2803	4.8046
0.7323	2804	4.9325
0.7326	2805	4.9312
0.7328	2806	4.9637
0.7331	2807	5.0359
0.7334	2808	4.7733
0.7336	2809	5.3192
0.7339	2810	5.2803
0.7341	2811	5.3922
0.7344	2812	4.9837
0.7347	2813	4.9059
0.7349	2814	5.2751
0.7352	2815	5.1563
0.7354	2816	4.9054
0.7357	2817	4.9733
0.7360	2818	5.341
0.7362	2819	5.2644
0.7365	2820	5.5846
0.7367	2821	5.5036
0.7370	2822	5.2289
0.7373	2823	5.2876
0.7375	2824	4.6411
0.7378	2825	5.1407
0.7381	2826	5.2764
0.7383	2827	4.7572
0.7386	2828	5.4345
0.7388	2829	4.965
0.7391	2830	5.5689
0.7394	2831	5.1948
0.7396	2832	5.3546
0.7399	2833	5.7648
0.7401	2834	5.6205
0.7404	2835	6.0862
0.7407	2836	5.2684
0.7409	2837	5.17
0.7412	2838	5.5766
0.7414	2839	5.4664
0.7417	2840	5.6702
0.7420	2841	5.3722
0.7422	2842	5.19
0.7425	2843	5.6418
0.7428	2844	5.7026
0.7430	2845	5.0759
0.7433	2846	4.6311
0.7435	2847	4.8186
0.7438	2848	4.6904
0.7441	2849	4.9698
0.7443	2850	5.2267
0.7446	2851	5.6112
0.7448	2852	4.985
0.7451	2853	5.5972
0.7454	2854	5.869
0.7456	2855	5.45
0.7459	2856	4.7681
0.7461	2857	5.4864
0.7464	2858	5.4446
0.7467	2859	5.3324
0.7469	2860	4.8541
0.7472	2861	5.2585
0.7475	2862	5.3195
0.7477	2863	6.1313
0.7480	2864	5.1886
0.7482	2865	5.0801
0.7485	2866	5.7813
0.7488	2867	5.1963
0.7490	2868	4.913
0.7493	2869	5.043
0.7495	2870	4.8626
0.7498	2871	5.1108
0.7501	2872	5.6555
0.7503	2873	5.4815
0.7506	2874	5.5349
0.7508	2875	5.1125
0.7511	2876	5.1391
0.7514	2877	5.0853
0.7516	2878	5.3306
0.7519	2879	5.8212
0.7522	2880	4.9244
0.7524	2881	4.3902
0.7527	2882	5.6591
0.7529	2883	5.7203
0.7532	2884	5.2686
0.7535	2885	4.8589
0.7537	2886	5.9258
0.7540	2887	5.5819
0.7542	2888	5.6315
0.7545	2889	4.7637
0.7548	2890	5.6538
0.7550	2891	4.8267
0.7553	2892	5.5351
0.7555	2893	5.1621
0.7558	2894	5.2144
0.7561	2895	4.9985
0.7563	2896	4.5584
0.7566	2897	5.2737
0.7569	2898	4.7371
0.7571	2899	4.9148
0.7574	2900	5.1816
0.7576	2901	5.0032
0.7579	2902	5.3287
0.7582	2903	5.3484
0.7584	2904	5.401
0.7587	2905	5.5168
0.7589	2906	5.6878
0.7592	2907	5.7239
0.7595	2908	4.4947
0.7597	2909	5.2251
0.7600	2910	5.5231
0.7603	2911	5.1614
0.7605	2912	4.6973
0.7608	2913	5.5752
0.7610	2914	5.922
0.7613	2915	4.3535
0.7616	2916	5.023
0.7618	2917	5.4917
0.7621	2918	5.3759
0.7623	2919	4.941
0.7626	2920	5.1865
0.7629	2921	5.3825
0.7631	2922	5.5767
0.7634	2923	4.7005
0.7636	2924	5.3844
0.7639	2925	5.3122
0.7642	2926	5.1169
0.7644	2927	4.9799
0.7647	2928	5.4791
0.7650	2929	4.8379
0.7652	2930	5.9374
0.7655	2931	4.7492
0.7657	2932	5.4528
0.7660	2933	5.2278
0.7663	2934	4.9058
0.7665	2935	5.179
0.7668	2936	5.4093
0.7670	2937	5.5105
0.7673	2938	4.9234
0.7676	2939	4.798
0.7678	2940	4.6327
0.7681	2941	4.7087
0.7683	2942	4.9242
0.7686	2943	4.5398
0.7689	2944	4.8099
0.7691	2945	5.5441
0.7694	2946	4.9146
0.7697	2947	5.311
0.7699	2948	4.6984
0.7702	2949	5.0984
0.7704	2950	5.1175
0.7707	2951	5.1812
0.7710	2952	5.0861
0.7712	2953	5.1178
0.7715	2954	5.8886
0.7717	2955	5.1534
0.7720	2956	4.9498
0.7723	2957	4.9062
0.7725	2958	5.0549
0.7728	2959	5.2043
0.7730	2960	4.3165
0.7733	2961	5.3313
0.7736	2962	5.0431
0.7738	2963	5.5122
0.7741	2964	4.9154
0.7744	2965	4.7036
0.7746	2966	5.2847
0.7749	2967	5.423
0.7751	2968	5.5356
0.7754	2969	5.2271
0.7757	2970	5.8493
0.7759	2971	5.4024
0.7762	2972	5.0585
0.7764	2973	5.3954
0.7767	2974	5.4914
0.7770	2975	5.7864
0.7772	2976	5.2274
0.7775	2977	5.3593
0.7777	2978	5.5982
0.7780	2979	4.9142
0.7783	2980	5.8916
0.7785	2981	4.9517
0.7788	2982	4.8895
0.7791	2983	4.8259
0.7793	2984	5.3818
0.7796	2985	4.5466
0.7798	2986	5.7589
0.7801	2987	5.3052
0.7804	2988	5.4748
0.7806	2989	5.2031
0.7809	2990	5.2995
0.7811	2991	4.643
0.7814	2992	5.4301
0.7817	2993	5.3573
0.7819	2994	6.2375
0.7822	2995	5.6147
0.7824	2996	5.321
0.7827	2997	5.0328
0.7830	2998	4.743
0.7832	2999	5.2692
0.7835	3000	5.4665
0.7838	3001	5.4493
0.7840	3002	5.0772
0.7843	3003	5.7291
0.7845	3004	5.3891
0.7848	3005	5.7848
0.7851	3006	5.3886
0.7853	3007	4.9624
0.7856	3008	4.5534
0.7858	3009	5.2443
0.7861	3010	4.604
0.7864	3011	5.2734
0.7866	3012	5.655
0.7869	3013	4.8119
0.7872	3014	5.8676
0.7874	3015	5.3432
0.7877	3016	4.7719
0.7879	3017	5.4975
0.7882	3018	5.6795
0.7885	3019	5.082
0.7887	3020	5.0419
0.7890	3021	5.457
0.7892	3022	4.8388
0.7895	3023	5.9262
0.7898	3024	4.5972
0.7900	3025	5.0082
0.7903	3026	4.5636
0.7905	3027	5.5329
0.7908	3028	5.51
0.7911	3029	4.5359
0.7913	3030	5.7699
0.7916	3031	5.3058
0.7919	3032	4.5198
0.7921	3033	5.6755
0.7924	3034	5.0713
0.7926	3035	5.5649
0.7929	3036	4.9878
0.7932	3037	5.4798
0.7934	3038	4.983
0.7937	3039	5.3117
0.7939	3040	4.8543
0.7942	3041	4.8411
0.7945	3042	4.5367
0.7947	3043	5.7423
0.7950	3044	4.9472
0.7952	3045	5.4135
0.7955	3046	5.1752
0.7958	3047	5.3903
0.7960	3048	5.144
0.7963	3049	4.4094
0.7966	3050	5.013
0.7968	3051	5.6937
0.7971	3052	4.9363
0.7973	3053	5.2382
0.7976	3054	4.7971
0.7979	3055	5.4639
0.7981	3056	5.1926
0.7984	3057	4.7791
0.7986	3058	4.6915
0.7989	3059	5.0847
0.7992	3060	5.543
0.7994	3061	5.0026
0.7997	3062	5.3952
0.7999	3063	4.8745
0.8002	3064	5.8527
0.8005	3065	5.4349
0.8007	3066	5.1157
0.8010	3067	4.5926
0.8013	3068	5.0661
0.8015	3069	5.525
0.8018	3070	5.1522
0.8020	3071	4.8403
0.8023	3072	5.3896
0.8026	3073	6.0623
0.8028	3074	5.3713
0.8031	3075	4.6204
0.8033	3076	5.3463
0.8036	3077	5.1736
0.8039	3078	5.2509
0.8041	3079	5.2802
0.8044	3080	5.1957
0.8046	3081	5.3487
0.8049	3082	5.0591
0.8052	3083	5.4287
0.8054	3084	4.7916
0.8057	3085	4.5769
0.8060	3086	4.7488
0.8062	3087	5.3365
0.8065	3088	5.5988
0.8067	3089	4.8891
0.8070	3090	5.5674
0.8073	3091	4.9728
0.8075	3092	5.2182
0.8078	3093	5.4307
0.8080	3094	5.2505
0.8083	3095	5.4499
0.8086	3096	4.5901
0.8088	3097	5.131
0.8091	3098	4.9032
0.8093	3099	5.4358
0.8096	3100	5.315
0.8099	3101	5.1192
0.8101	3102	4.8294
0.8104	3103	4.8123
0.8107	3104	4.488
0.8109	3105	5.3106
0.8112	3106	5.2275
0.8114	3107	5.4681
0.8117	3108	5.2019
0.8120	3109	4.9118
0.8122	3110	5.7357
0.8125	3111	5.612
0.8127	3112	5.3634
0.8130	3113	5.2333
0.8133	3114	5.7967
0.8135	3115	5.6527
0.8138	3116	5.3183
0.8141	3117	5.0676
0.8143	3118	5.0983
0.8146	3119	5.0234
0.8148	3120	5.1107
0.8151	3121	5.2598
0.8154	3122	5.4083
0.8156	3123	5.3434
0.8159	3124	5.4682
0.8161	3125	4.8251
0.8164	3126	4.3837
0.8167	3127	5.3529
0.8169	3128	5.3508
0.8172	3129	5.2522
0.8174	3130	4.6867
0.8177	3131	6.0711
0.8180	3132	4.9974
0.8182	3133	5.3119
0.8185	3134	4.8508
0.8188	3135	5.2131
0.8190	3136	5.164
0.8193	3137	5.6386
0.8195	3138	5.5845
0.8198	3139	5.8811
0.8201	3140	4.1712
0.8203	3141	5.6368
0.8206	3142	4.6958
0.8208	3143	5.3801
0.8211	3144	4.5025
0.8214	3145	4.9191
0.8216	3146	4.8906
0.8219	3147	4.8707
0.8221	3148	5.5335
0.8224	3149	4.9935
0.8227	3150	5.498
0.8229	3151	4.5707
0.8232	3152	4.299
0.8235	3153	4.7882
0.8237	3154	5.4474
0.8240	3155	5.0509
0.8242	3156	5.0337
0.8245	3157	5.043
0.8248	3158	5.1384
0.8250	3159	5.08
0.8253	3160	5.3224
0.8255	3161	5.8446
0.8258	3162	4.8558
0.8261	3163	5.2711
0.8263	3164	5.5619
0.8266	3165	5.493
0.8268	3166	4.8613
0.8271	3167	4.9726
0.8274	3168	5.0009
0.8276	3169	5.0396
0.8279	3170	5.8515
0.8282	3171	5.2983
0.8284	3172	5.3499
0.8287	3173	5.5994
0.8289	3174	5.0824
0.8292	3175	5.3025
0.8295	3176	5.8718
0.8297	3177	5.0604
0.8300	3178	5.0668
0.8302	3179	5.2265
0.8305	3180	5.2666
0.8308	3181	5.0144
0.8310	3182	5.6703
0.8313	3183	5.4647
0.8315	3184	5.3871
0.8318	3185	5.4799
0.8321	3186	4.9495
0.8323	3187	5.1558
0.8326	3188	4.6427
0.8329	3189	5.3026
0.8331	3190	5.5483
0.8334	3191	5.0102
0.8336	3192	5.3415
0.8339	3193	4.7259
0.8342	3194	4.3916
0.8344	3195	5.27
0.8347	3196	5.1438
0.8349	3197	4.3895
0.8352	3198	5.1767
0.8355	3199	4.7125
0.8357	3200	5.3653
0.8360	3201	5.0434
0.8362	3202	5.6789
0.8365	3203	5.2607
0.8368	3204	4.5027
0.8370	3205	5.7856
0.8373	3206	5.0788
0.8376	3207	4.8243
0.8378	3208	5.0556
0.8381	3209	4.6766
0.8383	3210	5.3795
0.8386	3211	5.1284
0.8389	3212	5.117
0.8391	3213	5.6835
0.8394	3214	5.7568
0.8396	3215	5.523
0.8399	3216	5.2768
0.8402	3217	4.9743
0.8404	3218	5.8944
0.8407	3219	5.4836
0.8410	3220	5.1455
0.8412	3221	4.8463
0.8415	3222	5.3099
0.8417	3223	5.3156
0.8420	3224	5.2647
0.8423	3225	5.0001
0.8425	3226	5.1695
0.8428	3227	4.8064
0.8430	3228	5.5692
0.8433	3229	4.8009
0.8436	3230	5.5731
0.8438	3231	5.2715
0.8441	3232	5.4095
0.8443	3233	5.155
0.8446	3234	5.4916
0.8449	3235	5.0384
0.8451	3236	4.9196
0.8454	3237	5.2342
0.8457	3238	4.9129
0.8459	3239	5.1102
0.8462	3240	5.3643
0.8464	3241	4.7756
0.8467	3242	5.2543
0.8470	3243	5.3862
0.8472	3244	5.8499
0.8475	3245	5.1253
0.8477	3246	4.8651
0.8480	3247	5.0368
0.8483	3248	5.6772
0.8485	3249	4.7254
0.8488	3250	5.2179
0.8490	3251	5.4998
0.8493	3252	4.9849
0.8496	3253	5.1455
0.8498	3254	5.1266
0.8501	3255	5.6533
0.8504	3256	4.6652
0.8506	3257	4.6641
0.8509	3258	4.9019
0.8511	3259	5.1908
0.8514	3260	5.7742
0.8517	3261	5.924
0.8519	3262	5.8353
0.8522	3263	5.663
0.8524	3264	5.4637
0.8527	3265	4.8393
0.8530	3266	5.217
0.8532	3267	4.4182
0.8535	3268	4.5902
0.8537	3269	5.1512
0.8540	3270	5.5819
0.8543	3271	5.2104
0.8545	3272	5.1582
0.8548	3273	5.5305
0.8551	3274	5.4208
0.8553	3275	5.6904
0.8556	3276	5.5741
0.8558	3277	5.5494
0.8561	3278	5.3379
0.8564	3279	5.4465
0.8566	3280	5.1753
0.8569	3281	4.7029
0.8571	3282	5.3712
0.8574	3283	5.0745
0.8577	3284	5.0848
0.8579	3285	5.4078
0.8582	3286	5.1801
0.8584	3287	4.5513
0.8587	3288	5.3432
0.8590	3289	5.0831
0.8592	3290	5.2471
0.8595	3291	5.9279
0.8598	3292	4.573
0.8600	3293	4.9543
0.8603	3294	4.6199
0.8605	3295	4.494
0.8608	3296	5.1385
0.8611	3297	5.4331
0.8613	3298	4.8057
0.8616	3299	5.2493
0.8618	3300	5.0196
0.8621	3301	4.8482
0.8624	3302	5.7669
0.8626	3303	5.9301
0.8629	3304	4.74
0.8631	3305	4.7852
0.8634	3306	4.9165
0.8637	3307	5.7968
0.8639	3308	5.2976
0.8642	3309	5.5109
0.8645	3310	5.0519
0.8647	3311	4.4266
0.8650	3312	5.008
0.8652	3313	4.9898
0.8655	3314	5.4381
0.8658	3315	5.0858
0.8660	3316	5.272
0.8663	3317	4.8343
0.8665	3318	5.2721
0.8668	3319	5.3271
0.8671	3320	5.5383
0.8673	3321	4.7739
0.8676	3322	5.2585
0.8679	3323	5.3534
0.8681	3324	5.9771
0.8684	3325	5.6295
0.8686	3326	5.0551
0.8689	3327	5.5565
0.8692	3328	5.456
0.8694	3329	5.4673
0.8697	3330	4.8986
0.8699	3331	5.146
0.8702	3332	4.7588
0.8705	3333	4.7221
0.8707	3334	6.0083
0.8710	3335	5.3778
0.8712	3336	5.8674
0.8715	3337	5.5856
0.8718	3338	5.5316
0.8720	3339	4.9685
0.8723	3340	5.1656
0.8726	3341	5.2334
0.8728	3342	5.5601
0.8731	3343	5.0886
0.8733	3344	5.2354
0.8736	3345	4.4695
0.8739	3346	5.5011
0.8741	3347	5.5482
0.8744	3348	5.4623
0.8746	3349	5.4032
0.8749	3350	4.7483
0.8752	3351	4.8916
0.8754	3352	5.6949
0.8757	3353	4.8932
0.8759	3354	4.8531
0.8762	3355	5.1134
0.8765	3356	5.2375
0.8767	3357	5.5166
0.8770	3358	5.2929
0.8773	3359	5.6428
0.8775	3360	5.4605
0.8778	3361	4.9695
0.8780	3362	4.4761
0.8783	3363	5.2691
0.8786	3364	5.2164
0.8788	3365	5.0593
0.8791	3366	5.5197
0.8793	3367	5.1587
0.8796	3368	5.7611
0.8799	3369	4.6702
0.8801	3370	5.1585
0.8804	3371	5.2701
0.8806	3372	5.0006
0.8809	3373	4.8517
0.8812	3374	5.0093
0.8814	3375	5.3759
0.8817	3376	5.1288
0.8820	3377	4.9293
0.8822	3378	5.3244
0.8825	3379	5.139
0.8827	3380	5.054
0.8830	3381	5.799
0.8833	3382	5.1815
0.8835	3383	5.9759
0.8838	3384	5.4069
0.8840	3385	5.4689
0.8843	3386	5.0931
0.8846	3387	4.8719
0.8848	3388	4.7961
0.8851	3389	5.7374
0.8853	3390	4.9612
0.8856	3391	5.4182
0.8859	3392	6.0275
0.8861	3393	4.967
0.8864	3394	4.8443
0.8867	3395	5.2232
0.8869	3396	5.5956
0.8872	3397	4.9649
0.8874	3398	4.7941
0.8877	3399	5.4514
0.8880	3400	5.0776
0.8882	3401	4.8418
0.8885	3402	5.3012
0.8887	3403	5.3092
0.8890	3404	5.2748
0.8893	3405	5.0291
0.8895	3406	4.939
0.8898	3407	4.9386
0.8900	3408	5.4652
0.8903	3409	5.2345
0.8906	3410	5.3826
0.8908	3411	5.2709
0.8911	3412	4.5903
0.8914	3413	4.2527
0.8916	3414	5.6193
0.8919	3415	5.2394
0.8921	3416	4.9166
0.8924	3417	5.0349
0.8927	3418	5.2937
0.8929	3419	4.886
0.8932	3420	5.4073
0.8934	3421	4.5637
0.8937	3422	5.6141
0.8940	3423	5.2316
0.8942	3424	5.6334
0.8945	3425	5.454
0.8948	3426	5.5636
0.8950	3427	5.6255
0.8953	3428	5.9184
0.8955	3429	5.3875
0.8958	3430	4.9954
0.8961	3431	5.1702
0.8963	3432	5.4872
0.8966	3433	5.1943
0.8968	3434	5.2036
0.8971	3435	5.4401
0.8974	3436	4.7256
0.8976	3437	5.4966
0.8979	3438	5.5456
0.8981	3439	5.0314
0.8984	3440	5.5365
0.8987	3441	5.3579
0.8989	3442	4.9158
0.8992	3443	5.3237
0.8995	3444	5.807
0.8997	3445	4.9384
0.9000	3446	5.5505
0.9002	3447	5.6154
0.9005	3448	5.3113
0.9008	3449	4.8723
0.9010	3450	4.7299
0.9013	3451	5.2694
0.9015	3452	5.6979
0.9018	3453	5.0973
0.9021	3454	4.9904
0.9023	3455	5.2824
0.9026	3456	5.4459
0.9028	3457	5.2742
0.9031	3458	5.6213
0.9034	3459	4.7022
0.9036	3460	5.5403
0.9039	3461	5.1224
0.9042	3462	4.7395
0.9044	3463	4.6177
0.9047	3464	5.1389
0.9049	3465	5.0443
0.9052	3466	5.1091
0.9055	3467	4.9109
0.9057	3468	5.0825
0.9060	3469	5.0242
0.9062	3470	5.0725
0.9065	3471	6.0629
0.9068	3472	4.9823
0.9070	3473	5.2803
0.9073	3474	5.7041
0.9075	3475	4.7811
0.9078	3476	4.8481
0.9081	3477	5.6822
0.9083	3478	5.6361
0.9086	3479	5.6895
0.9089	3480	5.3389
0.9091	3481	4.9884
0.9094	3482	5.206
0.9096	3483	5.4722
0.9099	3484	5.3425
0.9102	3485	5.3396
0.9104	3486	5.5441
0.9107	3487	4.9061
0.9109	3488	5.5487
0.9112	3489	5.4999
0.9115	3490	4.826
0.9117	3491	5.3929
0.9120	3492	4.8697
0.9122	3493	5.2653
0.9125	3494	5.113
0.9128	3495	4.983
0.9130	3496	4.5965
0.9133	3497	5.7308
0.9136	3498	4.9512
0.9138	3499	4.6741
0.9141	3500	5.6452
0.9143	3501	4.9031
0.9146	3502	5.4606
0.9149	3503	5.1324
0.9151	3504	4.8452
0.9154	3505	5.1007
0.9156	3506	5.6779
0.9159	3507	4.9192
0.9162	3508	5.4822
0.9164	3509	5.1016
0.9167	3510	4.7448
0.9169	3511	4.632
0.9172	3512	5.257
0.9175	3513	5.0572
0.9177	3514	4.5174
0.9180	3515	5.4296
0.9183	3516	4.929
0.9185	3517	5.2867
0.9188	3518	4.6421
0.9190	3519	4.768
0.9193	3520	4.5638
0.9196	3521	4.7233
0.9198	3522	4.9387
0.9201	3523	5.4351
0.9203	3524	5.2729
0.9206	3525	5.1844
0.9209	3526	5.7219
0.9211	3527	5.2666
0.9214	3528	5.2251
0.9217	3529	5.2615
0.9219	3530	5.4712
0.9222	3531	4.8945
0.9224	3532	4.7675
0.9227	3533	4.5572
0.9230	3534	4.9464
0.9232	3535	5.6842
0.9235	3536	4.7696
0.9237	3537	5.1849
0.9240	3538	5.1352
0.9243	3539	5.4216
0.9245	3540	5.2695
0.9248	3541	4.9911
0.9250	3542	5.274
0.9253	3543	4.7561
0.9256	3544	4.7277
0.9258	3545	5.0867
0.9261	3546	5.0385
0.9264	3547	4.919
0.9266	3548	5.5386
0.9269	3549	5.1315
0.9271	3550	5.1678
0.9274	3551	5.0016
0.9277	3552	5.2466
0.9279	3553	5.4592
0.9282	3554	5.0342
0.9284	3555	5.3449
0.9287	3556	5.3637
0.9290	3557	5.2919
0.9292	3558	5.2323
0.9295	3559	5.1278
0.9297	3560	4.9271
0.9300	3561	5.3568
0.9303	3562	4.7638
0.9305	3563	5.3108
0.9308	3564	5.3561
0.9311	3565	6.0791
0.9313	3566	5.0913
0.9316	3567	5.2614
0.9318	3568	5.613
0.9321	3569	5.1146
0.9324	3570	5.3423
0.9326	3571	4.9428
0.9329	3572	5.2815
0.9331	3573	5.277
0.9334	3574	4.5095
0.9337	3575	5.1415
0.9339	3576	5.6756
0.9342	3577	5.5682
0.9344	3578	5.3518
0.9347	3579	5.7017
0.9350	3580	5.2931
0.9352	3581	5.1239
0.9355	3582	4.2089
0.9358	3583	5.1782
0.9360	3584	4.9245
0.9363	3585	4.8919
0.9365	3586	5.445
0.9368	3587	5.5902
0.9371	3588	4.8462
0.9373	3589	4.3825
0.9376	3590	5.3986
0.9378	3591	4.9905
0.9381	3592	5.2523
0.9384	3593	5.3439
0.9386	3594	5.3065
0.9389	3595	5.0952
0.9391	3596	5.3504
0.9394	3597	5.0052
0.9397	3598	4.8749
0.9399	3599	5.8101
0.9402	3600	5.0933
0.9405	3601	4.6963
0.9407	3602	5.3842
0.9410	3603	5.2255
0.9412	3604	5.668
0.9415	3605	5.9115
0.9418	3606	4.5939
0.9420	3607	5.2414
0.9423	3608	5.0059
0.9425	3609	5.0142
0.9428	3610	5.1898
0.9431	3611	5.2362
0.9433	3612	4.8204
0.9436	3613	5.1545
0.9438	3614	4.8767
0.9441	3615	5.5107
0.9444	3616	4.9996
0.9446	3617	5.4382
0.9449	3618	6.0503
0.9452	3619	4.4884
0.9454	3620	5.2032
0.9457	3621	4.932
0.9459	3622	5.5321
0.9462	3623	4.404
0.9465	3624	5.301
0.9467	3625	5.1494
0.9470	3626	4.578
0.9472	3627	5.4767
0.9475	3628	5.4129
0.9478	3629	6.0133
0.9480	3630	4.9561
0.9483	3631	6.0779
0.9486	3632	5.4569
0.9488	3633	5.2539
0.9491	3634	5.0553
0.9493	3635	5.607
0.9496	3636	4.9698
0.9499	3637	5.3157
0.9501	3638	5.6931
0.9504	3639	5.322
0.9506	3640	5.6756
0.9509	3641	6.02
0.9512	3642	4.8031
0.9514	3643	5.0295
0.9517	3644	5.5677
0.9519	3645	5.0701
0.9522	3646	5.5274
0.9525	3647	5.2132
0.9527	3648	5.1644
0.9530	3649	4.8018
0.9533	3650	5.1231
0.9535	3651	5.0628
0.9538	3652	5.4465
0.9540	3653	5.6204
0.9543	3654	4.8102
0.9546	3655	5.5977
0.9548	3656	4.6205
0.9551	3657	4.8574
0.9553	3658	5.3943
0.9556	3659	5.1011
0.9559	3660	4.8206
0.9561	3661	5.209
0.9564	3662	4.9009
0.9566	3663	5.063
0.9569	3664	5.4453
0.9572	3665	5.4522
0.9574	3666	4.7388
0.9577	3667	5.2879
0.9580	3668	4.5983
0.9582	3669	5.0388
0.9585	3670	5.0385
0.9587	3671	5.3808
0.9590	3672	5.9215
0.9593	3673	5.1423
0.9595	3674	4.894
0.9598	3675	5.059
0.9600	3676	5.5883
0.9603	3677	5.011
0.9606	3678	5.2079
0.9608	3679	5.4789
0.9611	3680	4.643
0.9613	3681	5.467
0.9616	3682	4.6961
0.9619	3683	5.0894
0.9621	3684	5.4789
0.9624	3685	5.2085
0.9627	3686	4.7923
0.9629	3687	4.83
0.9632	3688	5.4365
0.9634	3689	5.4411
0.9637	3690	5.2869
0.9640	3691	5.5281
0.9642	3692	5.0461
0.9645	3693	4.5849
0.9647	3694	5.0748
0.9650	3695	5.2024
0.9653	3696	5.1238
0.9655	3697	5.2014
0.9658	3698	5.0656
0.9660	3699	4.5702
0.9663	3700	4.949
0.9666	3701	5.0823
0.9668	3702	6.0102
0.9671	3703	4.8454
0.9674	3704	5.0584
0.9676	3705	4.9227
0.9679	3706	5.4758
0.9681	3707	5.5011
0.9684	3708	4.3689
0.9687	3709	5.7218
0.9689	3710	4.7993
0.9692	3711	5.1486
0.9694	3712	4.6632
0.9697	3713	5.9193
0.9700	3714	5.3862
0.9702	3715	4.7074
0.9705	3716	4.5348
0.9707	3717	5.4095
0.9710	3718	5.2207
0.9713	3719	5.2706
0.9715	3720	5.0869
0.9718	3721	4.578
0.9721	3722	4.8243
0.9723	3723	4.5704
0.9726	3724	5.1861
0.9728	3725	5.0326
0.9731	3726	4.6474
0.9734	3727	4.5257
0.9736	3728	5.6667
0.9739	3729	5.2848
0.9741	3730	5.4334
0.9744	3731	5.3935
0.9747	3732	5.8881
0.9749	3733	5.5007
0.9752	3734	4.9704
0.9755	3735	4.9873
0.9757	3736	5.1149
0.9760	3737	5.8142
0.9762	3738	6.0784
0.9765	3739	5.4941
0.9768	3740	4.8572
0.9770	3741	5.4889
0.9773	3742	5.6058
0.9775	3743	4.7496
0.9778	3744	5.4087
0.9781	3745	4.7524
0.9783	3746	4.7179
0.9786	3747	5.2239
0.9788	3748	5.2979
0.9791	3749	5.3646
0.9794	3750	5.6637
0.9796	3751	5.1709
0.9799	3752	4.9987
0.9802	3753	5.3971
0.9804	3754	4.2899
0.9807	3755	5.2533
0.9809	3756	6.021
0.9812	3757	5.0195
0.9815	3758	4.4439
0.9817	3759	4.6029
0.9820	3760	4.5883
0.9822	3761	4.8448
0.9825	3762	5.1341
0.9828	3763	5.0537
0.9830	3764	5.3158
0.9833	3765	5.7867
0.9835	3766	5.1062
0.9838	3767	4.6172
0.9841	3768	5.4798
0.9843	3769	5.7307
0.9846	3770	4.8696
0.9849	3771	4.9442
0.9851	3772	4.5738
0.9854	3773	4.905
0.9856	3774	5.4682
0.9859	3775	4.5035
0.9862	3776	5.3506
0.9864	3777	4.8132
0.9867	3778	5.0654
0.9869	3779	6.2654
0.9872	3780	5.487
0.9875	3781	5.6713
0.9877	3782	5.5867
0.9880	3783	5.3453
0.9882	3784	5.1262
0.9885	3785	5.323
0.9888	3786	4.9705
0.9890	3787	5.0986
0.9893	3788	5.5887
0.9896	3789	5.173
0.9898	3790	5.56
0.9901	3791	5.1831
0.9903	3792	5.3441
0.9906	3793	5.1395
0.9909	3794	5.5819
0.9911	3795	5.1072
0.9914	3796	5.522
0.9916	3797	4.6315
0.9919	3798	5.5372
0.9922	3799	5.4465
0.9924	3800	5.3483
0.9927	3801	4.8189
0.9929	3802	5.1081
0.9932	3803	4.6686
0.9935	3804	5.1972
0.9937	3805	5.3112
0.9940	3806	4.2635
0.9943	3807	4.8744
0.9945	3808	5.1704
0.9948	3809	5.1171
0.9950	3810	5.5294
0.9953	3811	5.1709
0.9956	3812	5.0573
0.9958	3813	5.4088
0.9961	3814	5.3728
0.9963	3815	4.8439
0.9966	3816	5.0727
0.9969	3817	5.4796
0.9971	3818	5.7143
0.9974	3819	4.6662
0.9976	3820	5.7541
0.9979	3821	5.4006
0.9982	3822	5.4241
0.9984	3823	4.4132
0.9987	3824	4.9605
0.9990	3825	5.5175
0.9992	3826	5.5906
0.9995	3827	5.7098
0.9997	3828	5.2459
1.0	3829	5.6289

Framework Versions

• Python: 3.11.14
• Sentence Transformers: 5.1.1
• PyLate: 1.3.4
• Transformers: 4.56.2
• PyTorch: 2.8.0+cu128
• Accelerate: 1.12.0
• Datasets: 4.5.0
• Tokenizers: 0.22.2

Citation

BibTeX

Sentence Transformers

@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"
}

PyLate

@misc{PyLate,
title={PyLate: Flexible Training and Retrieval for Late Interaction Models},
author={Chaffin, Antoine and Sourty, Raphaël},
url={https://github.com/lightonai/pylate},
year={2024}
}

CachedContrastive

@misc{gao2021scaling,
    title={Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup},
    author={Luyu Gao and Yunyi Zhang and Jiawei Han and Jamie Callan},
    year={2021},
    eprint={2101.06983},
    archivePrefix={arXiv},
    primaryClass={cs.LG}
}