--- library_name: sentence-transformers pipeline_tag: sentence-similarity tags: - sentence-transformers - sentence-similarity - feature-extraction - generated_from_trainer - dataset_size:187491593 - loss:CustomTripletLoss widget: - source_sentence: 1.2 ML temsirolimus 25 MG/ML Injection sentences: - Temsirolimus 25 MG/1 ML Intravenous Solution - C3537356 - C1949367 - 0.5 ML influenza A virus vaccine, A-Victoria-361-2011 (H3N2)-like virus 0.03 MG/ML / influenza A-California-7-2009-(H1N1)v-like virus vaccine 0.03 MG/ML / influenza B virus vaccine B/Brisbane/60/2008 antigen 0.03 MG/ML / influenza B virus vaccine, B-Massachusetts-2-2012-like virus 0.03 MG/ML Prefilled Syringe [Fluzone Quadrivalent 2013-2014 Formula] - source_sentence: spastic ataxia type 2 sentences: - ZPLD2P gene - C5240110 - Kinesin Family Member 1C wt Allele - C5443974 - source_sentence: アルコール性発作 sentences: - C0586323 - C4295585 - epilepsy; alcohol - HELLP syndrome second trimester - source_sentence: Tergitol sentences: - C0439129 - F 82526 - C1563639 - CD 3 color developer, sulfate, hydrate (2:3:1) - source_sentence: Albendazol sentences: - N-(p-(((2,4-diamino-5-methyl-6-quinazolinyl)methyl)amino)benzoyl)-L-glutamic acid - C0699923 - C0130494 - SKF-92058 --- # SentenceTransformer This is a [sentence-transformers](https://www.SBERT.net) model trained. It maps sentences & paragraphs to a 384-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 - **Maximum Sequence Length:** 1024 tokens - **Output Dimensionality:** 384 tokens - **Similarity Function:** Cosine Similarity ### 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': 1024, 'do_lower_case': False}) with Transformer model: BertModel (1): Pooling({'word_embedding_dimension': 384, 'pooling_mode_cls_token': False, 'pooling_mode_mean_tokens': True, 'pooling_mode_max_tokens': False, 'pooling_mode_mean_sqrt_len_tokens': False, 'pooling_mode_weightedmean_tokens': False, 'pooling_mode_lasttoken': False, 'include_prompt': True}) ) ``` ## 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("pankajrajdeo/3749828_bioformer_16L") # Run inference sentences = [ 'Albendazol', 'SKF-92058', 'C0130494', ] embeddings = model.encode(sentences) print(embeddings.shape) # [3, 384] # Get the similarity scores for the embeddings similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] ``` ## Training Details ### Training Dataset #### Unnamed Dataset * Size: 187,491,593 training samples * Columns: anchor, positive, negative_id, positive_id, and negative * Approximate statistics based on the first 1000 samples: | | anchor | positive | negative_id | positive_id | negative | |:--------|:-----------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:--------------------------------------------------------------------------------|:-----------------------------------------------------------------------------------| | type | string | string | string | string | string | | details | | | | | | * Samples: | anchor | positive | negative_id | positive_id | negative | |:----------------------------------------------|:------------------------------------------------------------------------------------------------|:----------------------|:----------------------|:------------------------------------------------------------------------------------------------| | Zaburzenie metabolizmu minerałów | Distúrbio não especificado do metabolismo de minerais | C2887914 | C0154260 | Acute alcoholic hepatic failure | | testy funkčnosti placenty | Metoder som brukes til å vurdere morkakefunksjon. | C2350391 | C0032049 | Hjärtmuskelscintigrafi | | Tsefapiriin:Susc:Pt:Is:OrdQn | cefapirina:susceptibilidad:punto en el tiempo:cepa clínica:ordinal o cuantitativo: | C0942365 | C0801894 | 2 proyecciones:hallazgo:punto en el tiempo:tobillo.izquierdo:Narrativo:radiografía | * Loss: __main__.CustomTripletLoss with these parameters: ```json { "distance_metric": "TripletDistanceMetric.EUCLIDEAN", "triplet_margin": 5 } ``` ### Training Hyperparameters #### Non-Default Hyperparameters - `per_device_train_batch_size`: 50 - `learning_rate`: 2e-05 - `num_train_epochs`: 5 - `warmup_ratio`: 0.1 - `fp16`: True #### All Hyperparameters
Click to expand - `overwrite_output_dir`: False - `do_predict`: False - `eval_strategy`: no - `prediction_loss_only`: True - `per_device_train_batch_size`: 50 - `per_device_eval_batch_size`: 8 - `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`: 2e-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`: 5 - `max_steps`: -1 - `lr_scheduler_type`: linear - `lr_scheduler_kwargs`: {} - `warmup_ratio`: 0.1 - `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`: True - `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`: False - `hub_always_push`: False - `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 - `dispatch_batches`: None - `split_batches`: 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 - `eval_use_gather_object`: False - `batch_sampler`: batch_sampler - `multi_dataset_batch_sampler`: proportional
### Training Logs
Click to expand | Epoch | Step | Training Loss | |:------:|:-------:|:-------------:| | 0.5000 | 1875000 | 0.1053 | | 0.5003 | 1876000 | 0.0899 | | 0.5006 | 1877000 | 0.0978 | | 0.5008 | 1878000 | 0.0928 | | 0.5011 | 1879000 | 0.0887 | | 0.5014 | 1880000 | 0.0921 | | 0.5016 | 1881000 | 0.0908 | | 0.5019 | 1882000 | 0.0925 | | 0.5022 | 1883000 | 0.0886 | | 0.5024 | 1884000 | 0.0924 | | 0.5027 | 1885000 | 0.0932 | | 0.5030 | 1886000 | 0.0938 | | 0.5032 | 1887000 | 0.0976 | | 0.5035 | 1888000 | 0.087 | | 0.5038 | 1889000 | 0.0882 | | 0.5040 | 1890000 | 0.0955 | | 0.5043 | 1891000 | 0.0927 | | 0.5046 | 1892000 | 0.0922 | | 0.5048 | 1893000 | 0.086 | | 0.5051 | 1894000 | 0.0899 | | 0.5054 | 1895000 | 0.0941 | | 0.5056 | 1896000 | 0.0924 | | 0.5059 | 1897000 | 0.0941 | | 0.5062 | 1898000 | 0.0904 | | 0.5064 | 1899000 | 0.09 | | 0.5067 | 1900000 | 0.0928 | | 0.5070 | 1901000 | 0.088 | | 0.5072 | 1902000 | 0.0924 | | 0.5075 | 1903000 | 0.0927 | | 0.5078 | 1904000 | 0.0912 | | 0.5080 | 1905000 | 0.0971 | | 0.5083 | 1906000 | 0.0973 | | 0.5086 | 1907000 | 0.0932 | | 0.5088 | 1908000 | 0.092 | | 0.5091 | 1909000 | 0.0894 | | 0.5094 | 1910000 | 0.0866 | | 0.5096 | 1911000 | 0.0951 | | 0.5099 | 1912000 | 0.0924 | | 0.5102 | 1913000 | 0.0913 | | 0.5104 | 1914000 | 0.0921 | | 0.5107 | 1915000 | 0.0915 | | 0.5110 | 1916000 | 0.0897 | | 0.5112 | 1917000 | 0.0932 | | 0.5115 | 1918000 | 0.0871 | | 0.5118 | 1919000 | 0.0872 | | 0.5120 | 1920000 | 0.0962 | | 0.5123 | 1921000 | 0.0902 | | 0.5126 | 1922000 | 0.0939 | | 0.5128 | 1923000 | 0.0873 | | 0.5131 | 1924000 | 0.0841 | | 0.5134 | 1925000 | 0.0863 | | 0.5136 | 1926000 | 0.0941 | | 0.5139 | 1927000 | 0.0905 | | 0.5142 | 1928000 | 0.0876 | | 0.5144 | 1929000 | 0.0866 | | 0.5147 | 1930000 | 0.0921 | | 0.5150 | 1931000 | 0.0973 | | 0.5152 | 1932000 | 0.0937 | | 0.5155 | 1933000 | 0.0899 | | 0.5158 | 1934000 | 0.0965 | | 0.5160 | 1935000 | 0.0942 | | 0.5163 | 1936000 | 0.0927 | | 0.5166 | 1937000 | 0.0897 | | 0.5168 | 1938000 | 0.094 | | 0.5171 | 1939000 | 0.0874 | | 0.5174 | 1940000 | 0.0954 | | 0.5176 | 1941000 | 0.0904 | | 0.5179 | 1942000 | 0.0913 | | 0.5182 | 1943000 | 0.0891 | | 0.5184 | 1944000 | 0.0941 | | 0.5187 | 1945000 | 0.0908 | | 0.5190 | 1946000 | 0.0903 | | 0.5192 | 1947000 | 0.0957 | | 0.5195 | 1948000 | 0.0875 | | 0.5198 | 1949000 | 0.0895 | | 0.5200 | 1950000 | 0.0883 | | 0.5203 | 1951000 | 0.0942 | | 0.5206 | 1952000 | 0.091 | | 0.5208 | 1953000 | 0.0874 | | 0.5211 | 1954000 | 0.0921 | | 0.5214 | 1955000 | 0.0967 | | 0.5216 | 1956000 | 0.0962 | | 0.5219 | 1957000 | 0.0942 | | 0.5222 | 1958000 | 0.0818 | | 0.5224 | 1959000 | 0.0861 | | 0.5227 | 1960000 | 0.0849 | | 0.5230 | 1961000 | 0.0894 | | 0.5232 | 1962000 | 0.101 | | 0.5235 | 1963000 | 0.0832 | | 0.5238 | 1964000 | 0.0901 | | 0.5240 | 1965000 | 0.0949 | | 0.5243 | 1966000 | 0.0942 | | 0.5246 | 1967000 | 0.0897 | | 0.5248 | 1968000 | 0.0894 | | 0.5251 | 1969000 | 0.0846 | | 0.5254 | 1970000 | 0.087 | | 0.5256 | 1971000 | 0.086 | | 0.5259 | 1972000 | 0.086 | | 0.5262 | 1973000 | 0.0913 | | 0.5264 | 1974000 | 0.0916 | | 0.5267 | 1975000 | 0.0867 | | 0.5270 | 1976000 | 0.085 | | 0.5272 | 1977000 | 0.0863 | | 0.5275 | 1978000 | 0.0927 | | 0.5278 | 1979000 | 0.0866 | | 0.5280 | 1980000 | 0.0865 | | 0.5283 | 1981000 | 0.0898 | | 0.5286 | 1982000 | 0.0917 | | 0.5288 | 1983000 | 0.0864 | | 0.5291 | 1984000 | 0.0937 | | 0.5294 | 1985000 | 0.0916 | | 0.5296 | 1986000 | 0.0913 | | 0.5299 | 1987000 | 0.0927 | | 0.5302 | 1988000 | 0.0947 | | 0.5304 | 1989000 | 0.0939 | | 0.5307 | 1990000 | 0.0864 | | 0.5310 | 1991000 | 0.0816 | | 0.5312 | 1992000 | 0.0931 | | 0.5315 | 1993000 | 0.0906 | | 0.5318 | 1994000 | 0.0907 | | 0.5320 | 1995000 | 0.0895 | | 0.5323 | 1996000 | 0.0913 | | 0.5326 | 1997000 | 0.0915 | | 0.5328 | 1998000 | 0.0909 | | 0.5331 | 1999000 | 0.0917 | | 0.5334 | 2000000 | 0.0828 | | 0.5336 | 2001000 | 0.0865 | | 0.5339 | 2002000 | 0.0864 | | 0.5342 | 2003000 | 0.0887 | | 0.5344 | 2004000 | 0.0871 | | 0.5347 | 2005000 | 0.0903 | | 0.5350 | 2006000 | 0.092 | | 0.5352 | 2007000 | 0.083 | | 0.5355 | 2008000 | 0.0934 | | 0.5358 | 2009000 | 0.0885 | | 0.5360 | 2010000 | 0.0841 | | 0.5363 | 2011000 | 0.0919 | | 0.5366 | 2012000 | 0.0909 | | 0.5368 | 2013000 | 0.0899 | | 0.5371 | 2014000 | 0.0905 | | 0.5374 | 2015000 | 0.0917 | | 0.5376 | 2016000 | 0.0936 | | 0.5379 | 2017000 | 0.0926 | | 0.5382 | 2018000 | 0.0884 | | 0.5384 | 2019000 | 0.0909 | | 0.5387 | 2020000 | 0.0858 | | 0.5390 | 2021000 | 0.0927 | | 0.5392 | 2022000 | 0.0908 | | 0.5395 | 2023000 | 0.0936 | | 0.5398 | 2024000 | 0.0896 | | 0.5400 | 2025000 | 0.0948 | | 0.5403 | 2026000 | 0.091 | | 0.5406 | 2027000 | 0.0917 | | 0.5408 | 2028000 | 0.0866 | | 0.5411 | 2029000 | 0.0925 | | 0.5414 | 2030000 | 0.0846 | | 0.5416 | 2031000 | 0.0878 | | 0.5419 | 2032000 | 0.0792 | | 0.5422 | 2033000 | 0.0872 | | 0.5424 | 2034000 | 0.088 | | 0.5427 | 2035000 | 0.0972 | | 0.5430 | 2036000 | 0.081 | | 0.5432 | 2037000 | 0.0901 | | 0.5435 | 2038000 | 0.092 | | 0.5438 | 2039000 | 0.0902 | | 0.5440 | 2040000 | 0.091 | | 0.5443 | 2041000 | 0.0876 | | 0.5446 | 2042000 | 0.0799 | | 0.5448 | 2043000 | 0.0921 | | 0.5451 | 2044000 | 0.0823 | | 0.5454 | 2045000 | 0.0846 | | 0.5456 | 2046000 | 0.0863 | | 0.5459 | 2047000 | 0.0893 | | 0.5462 | 2048000 | 0.0829 | | 0.5464 | 2049000 | 0.0913 | | 0.5467 | 2050000 | 0.0956 | | 0.5470 | 2051000 | 0.0879 | | 0.5472 | 2052000 | 0.0849 | | 0.5475 | 2053000 | 0.0931 | | 0.5478 | 2054000 | 0.0822 | | 0.5480 | 2055000 | 0.086 | | 0.5483 | 2056000 | 0.0866 | | 0.5486 | 2057000 | 0.0943 | | 0.5488 | 2058000 | 0.0868 | | 0.5491 | 2059000 | 0.0918 | | 0.5494 | 2060000 | 0.0856 | | 0.5496 | 2061000 | 0.0841 | | 0.5499 | 2062000 | 0.0838 | | 0.5502 | 2063000 | 0.0906 | | 0.5504 | 2064000 | 0.0892 | | 0.5507 | 2065000 | 0.092 | | 0.5510 | 2066000 | 0.0917 | | 0.5512 | 2067000 | 0.0929 | | 0.5515 | 2068000 | 0.0847 | | 0.5518 | 2069000 | 0.0862 | | 0.5520 | 2070000 | 0.0879 | | 0.5523 | 2071000 | 0.0867 | | 0.5526 | 2072000 | 0.0868 | | 0.5528 | 2073000 | 0.0911 | | 0.5531 | 2074000 | 0.0869 | | 0.5534 | 2075000 | 0.0858 | | 0.5536 | 2076000 | 0.0882 | | 0.5539 | 2077000 | 0.086 | | 0.5542 | 2078000 | 0.0868 | | 0.5544 | 2079000 | 0.0879 | | 0.5547 | 2080000 | 0.0847 | | 0.5550 | 2081000 | 0.0907 | | 0.5552 | 2082000 | 0.0897 | | 0.5555 | 2083000 | 0.0894 | | 0.5558 | 2084000 | 0.0939 | | 0.5560 | 2085000 | 0.0878 | | 0.5563 | 2086000 | 0.0885 | | 0.5566 | 2087000 | 0.0905 | | 0.5568 | 2088000 | 0.092 | | 0.5571 | 2089000 | 0.0845 | | 0.5574 | 2090000 | 0.0854 | | 0.5576 | 2091000 | 0.0896 | | 0.5579 | 2092000 | 0.0858 | | 0.5582 | 2093000 | 0.0881 | | 0.5584 | 2094000 | 0.0891 | | 0.5587 | 2095000 | 0.0872 | | 0.5590 | 2096000 | 0.09 | | 0.5592 | 2097000 | 0.0835 | | 0.5595 | 2098000 | 0.0911 | | 0.5598 | 2099000 | 0.0909 | | 0.5600 | 2100000 | 0.087 | | 0.5603 | 2101000 | 0.099 | | 0.5606 | 2102000 | 0.0855 | | 0.5608 | 2103000 | 0.0883 | | 0.5611 | 2104000 | 0.0919 | | 0.5614 | 2105000 | 0.0906 | | 0.5616 | 2106000 | 0.0925 | | 0.5619 | 2107000 | 0.0874 | | 0.5622 | 2108000 | 0.0901 | | 0.5624 | 2109000 | 0.0839 | | 0.5627 | 2110000 | 0.0882 | | 0.5630 | 2111000 | 0.0851 | | 0.5632 | 2112000 | 0.0902 | | 0.5635 | 2113000 | 0.0874 | | 0.5638 | 2114000 | 0.0875 | | 0.5640 | 2115000 | 0.0866 | | 0.5643 | 2116000 | 0.0909 | | 0.5646 | 2117000 | 0.0905 | | 0.5648 | 2118000 | 0.0915 | | 0.5651 | 2119000 | 0.0871 | | 0.5654 | 2120000 | 0.0823 | | 0.5656 | 2121000 | 0.0923 | | 0.5659 | 2122000 | 0.0886 | | 0.5662 | 2123000 | 0.0824 | | 0.5664 | 2124000 | 0.0871 | | 0.5667 | 2125000 | 0.0808 | | 0.5670 | 2126000 | 0.0897 | | 0.5672 | 2127000 | 0.0862 | | 0.5675 | 2128000 | 0.0896 | | 0.5678 | 2129000 | 0.09 | | 0.5680 | 2130000 | 0.092 | | 0.5683 | 2131000 | 0.0875 | | 0.5686 | 2132000 | 0.0844 | | 0.5688 | 2133000 | 0.0838 | | 0.5691 | 2134000 | 0.0871 | | 0.5694 | 2135000 | 0.0812 | | 0.5696 | 2136000 | 0.0892 | | 0.5699 | 2137000 | 0.0819 | | 0.5702 | 2138000 | 0.0862 | | 0.5704 | 2139000 | 0.0895 | | 0.5707 | 2140000 | 0.0881 | | 0.5710 | 2141000 | 0.0854 | | 0.5712 | 2142000 | 0.0852 | | 0.5715 | 2143000 | 0.0825 | | 0.5718 | 2144000 | 0.0893 | | 0.5720 | 2145000 | 0.0884 | | 0.5723 | 2146000 | 0.0841 | | 0.5726 | 2147000 | 0.0897 | | 0.5728 | 2148000 | 0.0869 | | 0.5731 | 2149000 | 0.0831 | | 0.5734 | 2150000 | 0.0852 | | 0.5736 | 2151000 | 0.0858 | | 0.5739 | 2152000 | 0.0878 | | 0.5742 | 2153000 | 0.0879 | | 0.5744 | 2154000 | 0.08 | | 0.5747 | 2155000 | 0.0893 | | 0.5750 | 2156000 | 0.0868 | | 0.5752 | 2157000 | 0.0835 | | 0.5755 | 2158000 | 0.0832 | | 0.5758 | 2159000 | 0.0896 | | 0.5760 | 2160000 | 0.0856 | | 0.5763 | 2161000 | 0.0857 | | 0.5766 | 2162000 | 0.093 | | 0.5768 | 2163000 | 0.0933 | | 0.5771 | 2164000 | 0.0863 | | 0.5774 | 2165000 | 0.0857 | | 0.5776 | 2166000 | 0.0894 | | 0.5779 | 2167000 | 0.0836 | | 0.5782 | 2168000 | 0.0893 | | 0.5784 | 2169000 | 0.0803 | | 0.5787 | 2170000 | 0.081 | | 0.5790 | 2171000 | 0.089 | | 0.5792 | 2172000 | 0.0829 | | 0.5795 | 2173000 | 0.0884 | | 0.5798 | 2174000 | 0.0852 | | 0.5800 | 2175000 | 0.0798 | | 0.5803 | 2176000 | 0.0752 | | 0.5806 | 2177000 | 0.0828 | | 0.5808 | 2178000 | 0.0848 | | 0.5811 | 2179000 | 0.0895 | | 0.5814 | 2180000 | 0.0846 | | 0.5816 | 2181000 | 0.0841 | | 0.5819 | 2182000 | 0.0868 | | 0.5822 | 2183000 | 0.0885 | | 0.5824 | 2184000 | 0.0874 | | 0.5827 | 2185000 | 0.0865 | | 0.5830 | 2186000 | 0.0838 | | 0.5832 | 2187000 | 0.081 | | 0.5835 | 2188000 | 0.0829 | | 0.5838 | 2189000 | 0.0801 | | 0.5840 | 2190000 | 0.0861 | | 0.5843 | 2191000 | 0.08 | | 0.5846 | 2192000 | 0.0842 | | 0.5848 | 2193000 | 0.0831 | | 0.5851 | 2194000 | 0.0842 | | 0.5854 | 2195000 | 0.0836 | | 0.5856 | 2196000 | 0.0811 | | 0.5859 | 2197000 | 0.0851 | | 0.5862 | 2198000 | 0.0854 | | 0.5864 | 2199000 | 0.0857 | | 0.5867 | 2200000 | 0.089 | | 0.5870 | 2201000 | 0.0794 | | 0.5872 | 2202000 | 0.0908 | | 0.5875 | 2203000 | 0.0852 | | 0.5878 | 2204000 | 0.0866 | | 0.5880 | 2205000 | 0.085 | | 0.5883 | 2206000 | 0.0895 | | 0.5886 | 2207000 | 0.089 | | 0.5888 | 2208000 | 0.087 | | 0.5891 | 2209000 | 0.0822 | | 0.5894 | 2210000 | 0.09 | | 0.5896 | 2211000 | 0.0858 | | 0.5899 | 2212000 | 0.0836 | | 0.5902 | 2213000 | 0.0837 | | 0.5904 | 2214000 | 0.0881 | | 0.5907 | 2215000 | 0.0789 | | 0.5910 | 2216000 | 0.0796 | | 0.5912 | 2217000 | 0.0834 | | 0.5915 | 2218000 | 0.0839 | | 0.5918 | 2219000 | 0.0787 | | 0.5920 | 2220000 | 0.0825 | | 0.5923 | 2221000 | 0.0863 | | 0.5926 | 2222000 | 0.0862 | | 0.5928 | 2223000 | 0.0837 | | 0.5931 | 2224000 | 0.0781 | | 0.5934 | 2225000 | 0.0867 | | 0.5936 | 2226000 | 0.0897 | | 0.5939 | 2227000 | 0.0825 | | 0.5942 | 2228000 | 0.0798 | | 0.5944 | 2229000 | 0.086 | | 0.5947 | 2230000 | 0.0807 | | 0.5950 | 2231000 | 0.0788 | | 0.5952 | 2232000 | 0.0851 | | 0.5955 | 2233000 | 0.0844 | | 0.5958 | 2234000 | 0.0779 | | 0.5960 | 2235000 | 0.0804 | | 0.5963 | 2236000 | 0.0799 | | 0.5966 | 2237000 | 0.0843 | | 0.5968 | 2238000 | 0.0794 | | 0.5971 | 2239000 | 0.0848 | | 0.5974 | 2240000 | 0.0854 | | 0.5976 | 2241000 | 0.0906 | | 0.5979 | 2242000 | 0.0855 | | 0.5982 | 2243000 | 0.0793 | | 0.5984 | 2244000 | 0.0845 | | 0.5987 | 2245000 | 0.0854 | | 0.5990 | 2246000 | 0.0868 | | 0.5992 | 2247000 | 0.0867 | | 0.5995 | 2248000 | 0.0869 | | 0.5998 | 2249000 | 0.0853 | | 0.6000 | 2250000 | 0.0844 | | 0.6003 | 2251000 | 0.089 | | 0.6006 | 2252000 | 0.0789 | | 0.6008 | 2253000 | 0.0808 | | 0.6011 | 2254000 | 0.0854 | | 0.6014 | 2255000 | 0.0856 | | 0.6016 | 2256000 | 0.0874 | | 0.6019 | 2257000 | 0.0893 | | 0.6022 | 2258000 | 0.0772 | | 0.6024 | 2259000 | 0.0804 | | 0.6027 | 2260000 | 0.0903 | | 0.6030 | 2261000 | 0.0883 | | 0.6032 | 2262000 | 0.0841 | | 0.6035 | 2263000 | 0.0862 | | 0.6038 | 2264000 | 0.0806 | | 0.6040 | 2265000 | 0.0839 | | 0.6043 | 2266000 | 0.0816 | | 0.6046 | 2267000 | 0.0851 | | 0.6048 | 2268000 | 0.0786 | | 0.6051 | 2269000 | 0.0815 | | 0.6054 | 2270000 | 0.0875 | | 0.6056 | 2271000 | 0.0813 | | 0.6059 | 2272000 | 0.085 | | 0.6062 | 2273000 | 0.0818 | | 0.6064 | 2274000 | 0.0833 | | 0.6067 | 2275000 | 0.0891 | | 0.6070 | 2276000 | 0.0869 | | 0.6072 | 2277000 | 0.0818 | | 0.6075 | 2278000 | 0.0874 | | 0.6078 | 2279000 | 0.0787 | | 0.6080 | 2280000 | 0.0782 | | 0.6083 | 2281000 | 0.0809 | | 0.6086 | 2282000 | 0.083 | | 0.6088 | 2283000 | 0.082 | | 0.6091 | 2284000 | 0.0872 | | 0.6094 | 2285000 | 0.0851 | | 0.6096 | 2286000 | 0.087 | | 0.6099 | 2287000 | 0.0848 | | 0.6102 | 2288000 | 0.0821 | | 0.6104 | 2289000 | 0.085 | | 0.6107 | 2290000 | 0.0838 | | 0.6110 | 2291000 | 0.081 | | 0.6112 | 2292000 | 0.0809 | | 0.6115 | 2293000 | 0.0781 | | 0.6118 | 2294000 | 0.0796 | | 0.6120 | 2295000 | 0.0828 | | 0.6123 | 2296000 | 0.0833 | | 0.6126 | 2297000 | 0.0859 | | 0.6128 | 2298000 | 0.0824 | | 0.6131 | 2299000 | 0.0825 | | 0.6134 | 2300000 | 0.0909 | | 0.6136 | 2301000 | 0.0856 | | 0.6139 | 2302000 | 0.0827 | | 0.6142 | 2303000 | 0.0842 | | 0.6144 | 2304000 | 0.0798 | | 0.6147 | 2305000 | 0.0797 | | 0.6150 | 2306000 | 0.0812 | | 0.6152 | 2307000 | 0.0812 | | 0.6155 | 2308000 | 0.0897 | | 0.6158 | 2309000 | 0.0833 | | 0.6160 | 2310000 | 0.0835 | | 0.6163 | 2311000 | 0.0848 | | 0.6166 | 2312000 | 0.0858 | | 0.6168 | 2313000 | 0.0738 | | 0.6171 | 2314000 | 0.08 | | 0.6174 | 2315000 | 0.0784 | | 0.6176 | 2316000 | 0.0797 | | 0.6179 | 2317000 | 0.0791 | | 0.6182 | 2318000 | 0.0873 | | 0.6184 | 2319000 | 0.0825 | | 0.6187 | 2320000 | 0.0883 | | 0.6190 | 2321000 | 0.084 | | 0.6192 | 2322000 | 0.0801 | | 0.6195 | 2323000 | 0.0856 | | 0.6198 | 2324000 | 0.0764 | | 0.6200 | 2325000 | 0.088 | | 0.6203 | 2326000 | 0.0814 | | 0.6206 | 2327000 | 0.0857 | | 0.6208 | 2328000 | 0.0873 | | 0.6211 | 2329000 | 0.0846 | | 0.6214 | 2330000 | 0.0871 | | 0.6216 | 2331000 | 0.0798 | | 0.6219 | 2332000 | 0.0908 | | 0.6222 | 2333000 | 0.0799 | | 0.6224 | 2334000 | 0.0801 | | 0.6227 | 2335000 | 0.0813 | | 0.6230 | 2336000 | 0.0868 | | 0.6232 | 2337000 | 0.0794 | | 0.6235 | 2338000 | 0.0869 | | 0.6238 | 2339000 | 0.0799 | | 0.6240 | 2340000 | 0.0793 | | 0.6243 | 2341000 | 0.0801 | | 0.6246 | 2342000 | 0.0836 | | 0.6248 | 2343000 | 0.0836 | | 0.6251 | 2344000 | 0.0855 | | 0.6254 | 2345000 | 0.0792 | | 0.6256 | 2346000 | 0.0805 | | 0.6259 | 2347000 | 0.0807 | | 0.6262 | 2348000 | 0.0815 | | 0.6264 | 2349000 | 0.0864 | | 0.6267 | 2350000 | 0.0745 | | 0.6270 | 2351000 | 0.0813 | | 0.6272 | 2352000 | 0.0882 | | 0.6275 | 2353000 | 0.0789 | | 0.6278 | 2354000 | 0.0756 | | 0.6280 | 2355000 | 0.0863 | | 0.6283 | 2356000 | 0.0833 | | 0.6286 | 2357000 | 0.0739 | | 0.6288 | 2358000 | 0.081 | | 0.6291 | 2359000 | 0.0776 | | 0.6294 | 2360000 | 0.0805 | | 0.6296 | 2361000 | 0.0806 | | 0.6299 | 2362000 | 0.0882 | | 0.6302 | 2363000 | 0.0823 | | 0.6304 | 2364000 | 0.09 | | 0.6307 | 2365000 | 0.0763 | | 0.6310 | 2366000 | 0.0796 | | 0.6312 | 2367000 | 0.0835 | | 0.6315 | 2368000 | 0.0803 | | 0.6318 | 2369000 | 0.084 | | 0.6320 | 2370000 | 0.084 | | 0.6323 | 2371000 | 0.076 | | 0.6326 | 2372000 | 0.0749 | | 0.6328 | 2373000 | 0.0795 | | 0.6331 | 2374000 | 0.0813 | | 0.6334 | 2375000 | 0.0825 | | 0.6336 | 2376000 | 0.0829 | | 0.6339 | 2377000 | 0.0818 | | 0.6342 | 2378000 | 0.0797 | | 0.6344 | 2379000 | 0.0846 | | 0.6347 | 2380000 | 0.0832 | | 0.6350 | 2381000 | 0.082 | | 0.6352 | 2382000 | 0.0842 | | 0.6355 | 2383000 | 0.0849 | | 0.6358 | 2384000 | 0.08 | | 0.6360 | 2385000 | 0.0805 | | 0.6363 | 2386000 | 0.0787 | | 0.6366 | 2387000 | 0.088 | | 0.6368 | 2388000 | 0.0883 | | 0.6371 | 2389000 | 0.0807 | | 0.6374 | 2390000 | 0.0786 | | 0.6376 | 2391000 | 0.0836 | | 0.6379 | 2392000 | 0.0795 | | 0.6382 | 2393000 | 0.0801 | | 0.6384 | 2394000 | 0.085 | | 0.6387 | 2395000 | 0.0815 | | 0.6390 | 2396000 | 0.0845 | | 0.6392 | 2397000 | 0.0798 | | 0.6395 | 2398000 | 0.0836 | | 0.6398 | 2399000 | 0.0803 | | 0.6400 | 2400000 | 0.0817 | | 0.6403 | 2401000 | 0.0894 | | 0.6406 | 2402000 | 0.0809 | | 0.6408 | 2403000 | 0.0761 | | 0.6411 | 2404000 | 0.0809 | | 0.6414 | 2405000 | 0.0777 | | 0.6416 | 2406000 | 0.0794 | | 0.6419 | 2407000 | 0.0787 | | 0.6422 | 2408000 | 0.081 | | 0.6424 | 2409000 | 0.0847 | | 0.6427 | 2410000 | 0.0823 | | 0.6430 | 2411000 | 0.0751 | | 0.6432 | 2412000 | 0.0859 | | 0.6435 | 2413000 | 0.0805 | | 0.6438 | 2414000 | 0.082 | | 0.6440 | 2415000 | 0.0861 | | 0.6443 | 2416000 | 0.0842 | | 0.6446 | 2417000 | 0.0876 | | 0.6448 | 2418000 | 0.074 | | 0.6451 | 2419000 | 0.0818 | | 0.6454 | 2420000 | 0.0836 | | 0.6456 | 2421000 | 0.082 | | 0.6459 | 2422000 | 0.0749 | | 0.6462 | 2423000 | 0.0865 | | 0.6464 | 2424000 | 0.0809 | | 0.6467 | 2425000 | 0.0854 | | 0.6470 | 2426000 | 0.0829 | | 0.6472 | 2427000 | 0.08 | | 0.6475 | 2428000 | 0.0873 | | 0.6478 | 2429000 | 0.0757 | | 0.6480 | 2430000 | 0.0788 | | 0.6483 | 2431000 | 0.082 | | 0.6486 | 2432000 | 0.0834 | | 0.6488 | 2433000 | 0.0795 | | 0.6491 | 2434000 | 0.0859 | | 0.6494 | 2435000 | 0.0839 | | 0.6496 | 2436000 | 0.0874 | | 0.6499 | 2437000 | 0.0812 | | 0.6502 | 2438000 | 0.0824 | | 0.6504 | 2439000 | 0.0794 | | 0.6507 | 2440000 | 0.0795 | | 0.6510 | 2441000 | 0.0826 | | 0.6512 | 2442000 | 0.0813 | | 0.6515 | 2443000 | 0.0788 | | 0.6518 | 2444000 | 0.0848 | | 0.6520 | 2445000 | 0.0826 | | 0.6523 | 2446000 | 0.0762 | | 0.6526 | 2447000 | 0.0802 | | 0.6528 | 2448000 | 0.0871 | | 0.6531 | 2449000 | 0.0803 | | 0.6534 | 2450000 | 0.0797 | | 0.6536 | 2451000 | 0.0842 | | 0.6539 | 2452000 | 0.0819 | | 0.6542 | 2453000 | 0.0848 | | 0.6544 | 2454000 | 0.08 | | 0.6547 | 2455000 | 0.0815 | | 0.6550 | 2456000 | 0.0806 | | 0.6552 | 2457000 | 0.0811 | | 0.6555 | 2458000 | 0.0798 | | 0.6558 | 2459000 | 0.0789 | | 0.6560 | 2460000 | 0.0793 | | 0.6563 | 2461000 | 0.0821 | | 0.6566 | 2462000 | 0.0835 | | 0.6568 | 2463000 | 0.0833 | | 0.6571 | 2464000 | 0.0821 | | 0.6574 | 2465000 | 0.088 | | 0.6576 | 2466000 | 0.0822 | | 0.6579 | 2467000 | 0.0749 | | 0.6582 | 2468000 | 0.0787 | | 0.6584 | 2469000 | 0.0793 | | 0.6587 | 2470000 | 0.0793 | | 0.6590 | 2471000 | 0.0807 | | 0.6592 | 2472000 | 0.0767 | | 0.6595 | 2473000 | 0.0823 | | 0.6598 | 2474000 | 0.0867 | | 0.6600 | 2475000 | 0.0834 | | 0.6603 | 2476000 | 0.0821 | | 0.6606 | 2477000 | 0.0787 | | 0.6608 | 2478000 | 0.077 | | 0.6611 | 2479000 | 0.0771 | | 0.6614 | 2480000 | 0.0822 | | 0.6616 | 2481000 | 0.0824 | | 0.6619 | 2482000 | 0.0786 | | 0.6622 | 2483000 | 0.0795 | | 0.6624 | 2484000 | 0.0718 | | 0.6627 | 2485000 | 0.0807 | | 0.6630 | 2486000 | 0.0791 | | 0.6632 | 2487000 | 0.0801 | | 0.6635 | 2488000 | 0.0843 | | 0.6638 | 2489000 | 0.0843 | | 0.6640 | 2490000 | 0.0771 | | 0.6643 | 2491000 | 0.083 | | 0.6646 | 2492000 | 0.0824 | | 0.6648 | 2493000 | 0.0841 | | 0.6651 | 2494000 | 0.0823 | | 0.6654 | 2495000 | 0.0795 | | 0.6656 | 2496000 | 0.0825 | | 0.6659 | 2497000 | 0.0803 | | 0.6662 | 2498000 | 0.0843 | | 0.6664 | 2499000 | 0.0787 | | 0.6667 | 2500000 | 0.0817 | | 0.6670 | 2501000 | 0.0816 | | 0.6672 | 2502000 | 0.0793 | | 0.6675 | 2503000 | 0.0823 | | 0.6678 | 2504000 | 0.0764 | | 0.6680 | 2505000 | 0.0782 | | 0.6683 | 2506000 | 0.0807 | | 0.6686 | 2507000 | 0.0824 | | 0.6688 | 2508000 | 0.0768 | | 0.6691 | 2509000 | 0.0859 | | 0.6694 | 2510000 | 0.0791 | | 0.6696 | 2511000 | 0.0789 | | 0.6699 | 2512000 | 0.0848 | | 0.6702 | 2513000 | 0.0749 | | 0.6704 | 2514000 | 0.0776 | | 0.6707 | 2515000 | 0.0735 | | 0.6710 | 2516000 | 0.0778 | | 0.6712 | 2517000 | 0.0801 | | 0.6715 | 2518000 | 0.0798 | | 0.6718 | 2519000 | 0.0784 | | 0.6720 | 2520000 | 0.0781 | | 0.6723 | 2521000 | 0.0818 | | 0.6726 | 2522000 | 0.0762 | | 0.6728 | 2523000 | 0.0806 | | 0.6731 | 2524000 | 0.0773 | | 0.6734 | 2525000 | 0.0772 | | 0.6736 | 2526000 | 0.0782 | | 0.6739 | 2527000 | 0.0767 | | 0.6742 | 2528000 | 0.0828 | | 0.6744 | 2529000 | 0.0829 | | 0.6747 | 2530000 | 0.0792 | | 0.6750 | 2531000 | 0.0797 | | 0.6752 | 2532000 | 0.0823 | | 0.6755 | 2533000 | 0.0772 | | 0.6758 | 2534000 | 0.0765 | | 0.6760 | 2535000 | 0.075 | | 0.6763 | 2536000 | 0.0786 | | 0.6766 | 2537000 | 0.0785 | | 0.6768 | 2538000 | 0.0877 | | 0.6771 | 2539000 | 0.0747 | | 0.6774 | 2540000 | 0.0755 | | 0.6776 | 2541000 | 0.082 | | 0.6779 | 2542000 | 0.0759 | | 0.6782 | 2543000 | 0.0831 | | 0.6784 | 2544000 | 0.0811 | | 0.6787 | 2545000 | 0.0795 | | 0.6790 | 2546000 | 0.0852 | | 0.6792 | 2547000 | 0.0832 | | 0.6795 | 2548000 | 0.0793 | | 0.6798 | 2549000 | 0.0832 | | 0.6800 | 2550000 | 0.0799 | | 0.6803 | 2551000 | 0.0733 | | 0.6806 | 2552000 | 0.0809 | | 0.6808 | 2553000 | 0.0772 | | 0.6811 | 2554000 | 0.0801 | | 0.6814 | 2555000 | 0.0794 | | 0.6816 | 2556000 | 0.0792 | | 0.6819 | 2557000 | 0.0847 | | 0.6822 | 2558000 | 0.0748 | | 0.6824 | 2559000 | 0.0813 | | 0.6827 | 2560000 | 0.0741 | | 0.6830 | 2561000 | 0.0851 | | 0.6832 | 2562000 | 0.0763 | | 0.6835 | 2563000 | 0.0841 | | 0.6838 | 2564000 | 0.0762 | | 0.6840 | 2565000 | 0.0752 | | 0.6843 | 2566000 | 0.0857 | | 0.6846 | 2567000 | 0.0824 | | 0.6848 | 2568000 | 0.0762 | | 0.6851 | 2569000 | 0.0754 | | 0.6854 | 2570000 | 0.0795 | | 0.6856 | 2571000 | 0.0829 | | 0.6859 | 2572000 | 0.0839 | | 0.6862 | 2573000 | 0.0779 | | 0.6864 | 2574000 | 0.08 | | 0.6867 | 2575000 | 0.0722 | | 0.6870 | 2576000 | 0.0796 | | 0.6872 | 2577000 | 0.0831 | | 0.6875 | 2578000 | 0.0795 | | 0.6878 | 2579000 | 0.0827 | | 0.6880 | 2580000 | 0.0821 | | 0.6883 | 2581000 | 0.074 | | 0.6886 | 2582000 | 0.0811 | | 0.6888 | 2583000 | 0.0758 | | 0.6891 | 2584000 | 0.0742 | | 0.6894 | 2585000 | 0.0744 | | 0.6896 | 2586000 | 0.081 | | 0.6899 | 2587000 | 0.0738 | | 0.6902 | 2588000 | 0.0844 | | 0.6904 | 2589000 | 0.0773 | | 0.6907 | 2590000 | 0.0756 | | 0.6910 | 2591000 | 0.0805 | | 0.6912 | 2592000 | 0.0812 | | 0.6915 | 2593000 | 0.0757 | | 0.6918 | 2594000 | 0.0802 | | 0.6920 | 2595000 | 0.0813 | | 0.6923 | 2596000 | 0.0769 | | 0.6926 | 2597000 | 0.0752 | | 0.6928 | 2598000 | 0.0843 | | 0.6931 | 2599000 | 0.0755 | | 0.6934 | 2600000 | 0.0837 | | 0.6936 | 2601000 | 0.0823 | | 0.6939 | 2602000 | 0.0728 | | 0.6942 | 2603000 | 0.0811 | | 0.6944 | 2604000 | 0.0802 | | 0.6947 | 2605000 | 0.0758 | | 0.6950 | 2606000 | 0.0797 | | 0.6952 | 2607000 | 0.0841 | | 0.6955 | 2608000 | 0.0788 | | 0.6958 | 2609000 | 0.0811 | | 0.6960 | 2610000 | 0.0788 | | 0.6963 | 2611000 | 0.0786 | | 0.6966 | 2612000 | 0.0722 | | 0.6968 | 2613000 | 0.0853 | | 0.6971 | 2614000 | 0.0755 | | 0.6974 | 2615000 | 0.0818 | | 0.6976 | 2616000 | 0.0792 | | 0.6979 | 2617000 | 0.0854 | | 0.6982 | 2618000 | 0.0735 | | 0.6984 | 2619000 | 0.0786 | | 0.6987 | 2620000 | 0.0805 | | 0.6990 | 2621000 | 0.0756 | | 0.6992 | 2622000 | 0.0792 | | 0.6995 | 2623000 | 0.0761 | | 0.6998 | 2624000 | 0.0762 | | 0.7000 | 2625000 | 0.0778 | | 0.7003 | 2626000 | 0.0826 | | 0.7006 | 2627000 | 0.0789 | | 0.7008 | 2628000 | 0.0786 | | 0.7011 | 2629000 | 0.0792 | | 0.7014 | 2630000 | 0.0816 | | 0.7016 | 2631000 | 0.0751 | | 0.7019 | 2632000 | 0.0729 | | 0.7022 | 2633000 | 0.0776 | | 0.7024 | 2634000 | 0.0823 | | 0.7027 | 2635000 | 0.0808 | | 0.7030 | 2636000 | 0.079 | | 0.7032 | 2637000 | 0.0792 | | 0.7035 | 2638000 | 0.0761 | | 0.7038 | 2639000 | 0.0795 | | 0.7040 | 2640000 | 0.0806 | | 0.7043 | 2641000 | 0.0793 | | 0.7046 | 2642000 | 0.086 | | 0.7048 | 2643000 | 0.0765 | | 0.7051 | 2644000 | 0.0745 | | 0.7054 | 2645000 | 0.0771 | | 0.7056 | 2646000 | 0.0808 | | 0.7059 | 2647000 | 0.0805 | | 0.7062 | 2648000 | 0.0759 | | 0.7064 | 2649000 | 0.0709 | | 0.7067 | 2650000 | 0.0787 | | 0.7070 | 2651000 | 0.08 | | 0.7072 | 2652000 | 0.0826 | | 0.7075 | 2653000 | 0.085 | | 0.7078 | 2654000 | 0.08 | | 0.7080 | 2655000 | 0.0762 | | 0.7083 | 2656000 | 0.0769 | | 0.7086 | 2657000 | 0.0783 | | 0.7088 | 2658000 | 0.0837 | | 0.7091 | 2659000 | 0.0803 | | 0.7094 | 2660000 | 0.0809 | | 0.7096 | 2661000 | 0.0764 | | 0.7099 | 2662000 | 0.0791 | | 0.7102 | 2663000 | 0.0829 | | 0.7104 | 2664000 | 0.0767 | | 0.7107 | 2665000 | 0.0799 | | 0.7110 | 2666000 | 0.0789 | | 0.7112 | 2667000 | 0.0781 | | 0.7115 | 2668000 | 0.0813 | | 0.7118 | 2669000 | 0.0793 | | 0.7120 | 2670000 | 0.0793 | | 0.7123 | 2671000 | 0.0815 | | 0.7126 | 2672000 | 0.0816 | | 0.7128 | 2673000 | 0.0774 | | 0.7131 | 2674000 | 0.0785 | | 0.7134 | 2675000 | 0.0711 | | 0.7136 | 2676000 | 0.0799 | | 0.7139 | 2677000 | 0.0758 | | 0.7142 | 2678000 | 0.08 | | 0.7144 | 2679000 | 0.081 | | 0.7147 | 2680000 | 0.0797 | | 0.7150 | 2681000 | 0.0798 | | 0.7152 | 2682000 | 0.0775 | | 0.7155 | 2683000 | 0.0766 | | 0.7158 | 2684000 | 0.0803 | | 0.7160 | 2685000 | 0.0743 | | 0.7163 | 2686000 | 0.0764 | | 0.7166 | 2687000 | 0.0773 | | 0.7168 | 2688000 | 0.0773 | | 0.7171 | 2689000 | 0.0769 | | 0.7174 | 2690000 | 0.0753 | | 0.7176 | 2691000 | 0.072 | | 0.7179 | 2692000 | 0.0779 | | 0.7182 | 2693000 | 0.0778 | | 0.7184 | 2694000 | 0.0743 | | 0.7187 | 2695000 | 0.0764 | | 0.7190 | 2696000 | 0.0762 | | 0.7192 | 2697000 | 0.0791 | | 0.7195 | 2698000 | 0.0804 | | 0.7198 | 2699000 | 0.0769 | | 0.7200 | 2700000 | 0.0787 | | 0.7203 | 2701000 | 0.0804 | | 0.7206 | 2702000 | 0.0746 | | 0.7208 | 2703000 | 0.0813 | | 0.7211 | 2704000 | 0.0783 | | 0.7214 | 2705000 | 0.0783 | | 0.7216 | 2706000 | 0.0748 | | 0.7219 | 2707000 | 0.0813 | | 0.7222 | 2708000 | 0.0885 | | 0.7224 | 2709000 | 0.0749 | | 0.7227 | 2710000 | 0.0812 | | 0.7230 | 2711000 | 0.0749 | | 0.7232 | 2712000 | 0.0787 | | 0.7235 | 2713000 | 0.0823 | | 0.7238 | 2714000 | 0.0754 | | 0.7240 | 2715000 | 0.0773 | | 0.7243 | 2716000 | 0.0774 | | 0.7246 | 2717000 | 0.0785 | | 0.7248 | 2718000 | 0.0813 | | 0.7251 | 2719000 | 0.0855 | | 0.7254 | 2720000 | 0.0812 | | 0.7256 | 2721000 | 0.0751 | | 0.7259 | 2722000 | 0.0778 | | 0.7262 | 2723000 | 0.0756 | | 0.7264 | 2724000 | 0.0808 | | 0.7267 | 2725000 | 0.0768 | | 0.7270 | 2726000 | 0.0775 | | 0.7272 | 2727000 | 0.0789 | | 0.7275 | 2728000 | 0.077 | | 0.7278 | 2729000 | 0.0795 | | 0.7280 | 2730000 | 0.0805 | | 0.7283 | 2731000 | 0.069 | | 0.7286 | 2732000 | 0.0807 | | 0.7288 | 2733000 | 0.0806 | | 0.7291 | 2734000 | 0.0805 | | 0.7294 | 2735000 | 0.0746 | | 0.7296 | 2736000 | 0.0823 | | 0.7299 | 2737000 | 0.0752 | | 0.7302 | 2738000 | 0.0761 | | 0.7304 | 2739000 | 0.079 | | 0.7307 | 2740000 | 0.0772 | | 0.7310 | 2741000 | 0.0781 | | 0.7312 | 2742000 | 0.0774 | | 0.7315 | 2743000 | 0.0805 | | 0.7318 | 2744000 | 0.0784 | | 0.7320 | 2745000 | 0.0783 | | 0.7323 | 2746000 | 0.0761 | | 0.7326 | 2747000 | 0.0772 | | 0.7328 | 2748000 | 0.0755 | | 0.7331 | 2749000 | 0.0733 | | 0.7334 | 2750000 | 0.0744 | | 0.7336 | 2751000 | 0.0737 | | 0.7339 | 2752000 | 0.0747 | | 0.7342 | 2753000 | 0.0742 | | 0.7344 | 2754000 | 0.0789 | | 0.7347 | 2755000 | 0.0788 | | 0.7350 | 2756000 | 0.0789 | | 0.7352 | 2757000 | 0.0763 | | 0.7355 | 2758000 | 0.0751 | | 0.7358 | 2759000 | 0.0745 | | 0.7360 | 2760000 | 0.0814 | | 0.7363 | 2761000 | 0.0792 | | 0.7366 | 2762000 | 0.0748 | | 0.7368 | 2763000 | 0.0822 | | 0.7371 | 2764000 | 0.0754 | | 0.7374 | 2765000 | 0.0765 | | 0.7376 | 2766000 | 0.074 | | 0.7379 | 2767000 | 0.0691 | | 0.7382 | 2768000 | 0.0754 | | 0.7384 | 2769000 | 0.0703 | | 0.7387 | 2770000 | 0.0795 | | 0.7390 | 2771000 | 0.0792 | | 0.7392 | 2772000 | 0.0741 | | 0.7395 | 2773000 | 0.0712 | | 0.7398 | 2774000 | 0.0713 | | 0.7400 | 2775000 | 0.071 | | 0.7403 | 2776000 | 0.079 | | 0.7406 | 2777000 | 0.0737 | | 0.7408 | 2778000 | 0.0751 | | 0.7411 | 2779000 | 0.074 | | 0.7414 | 2780000 | 0.0737 | | 0.7416 | 2781000 | 0.0814 | | 0.7419 | 2782000 | 0.0779 | | 0.7422 | 2783000 | 0.0769 | | 0.7424 | 2784000 | 0.0798 | | 0.7427 | 2785000 | 0.077 | | 0.7430 | 2786000 | 0.0713 | | 0.7432 | 2787000 | 0.0719 | | 0.7435 | 2788000 | 0.0776 | | 0.7438 | 2789000 | 0.0818 | | 0.7440 | 2790000 | 0.0763 | | 0.7443 | 2791000 | 0.0759 | | 0.7446 | 2792000 | 0.0753 | | 0.7448 | 2793000 | 0.0736 | | 0.7451 | 2794000 | 0.0801 | | 0.7454 | 2795000 | 0.0722 | | 0.7456 | 2796000 | 0.081 | | 0.7459 | 2797000 | 0.0714 | | 0.7462 | 2798000 | 0.0762 | | 0.7464 | 2799000 | 0.0809 | | 0.7467 | 2800000 | 0.0816 | | 0.7470 | 2801000 | 0.0794 | | 0.7472 | 2802000 | 0.078 | | 0.7475 | 2803000 | 0.0758 | | 0.7478 | 2804000 | 0.0796 | | 0.7480 | 2805000 | 0.0763 | | 0.7483 | 2806000 | 0.0751 | | 0.7486 | 2807000 | 0.0741 | | 0.7488 | 2808000 | 0.0777 | | 0.7491 | 2809000 | 0.0795 | | 0.7494 | 2810000 | 0.0806 | | 0.7496 | 2811000 | 0.0768 | | 0.7499 | 2812000 | 0.0774 | | 0.7502 | 2813000 | 0.0725 | | 0.7504 | 2814000 | 0.0791 | | 0.7507 | 2815000 | 0.0747 | | 0.7510 | 2816000 | 0.078 | | 0.7512 | 2817000 | 0.0789 | | 0.7515 | 2818000 | 0.0725 | | 0.7518 | 2819000 | 0.0764 | | 0.7520 | 2820000 | 0.0809 | | 0.7523 | 2821000 | 0.0706 | | 0.7526 | 2822000 | 0.0705 | | 0.7528 | 2823000 | 0.0733 | | 0.7531 | 2824000 | 0.0756 | | 0.7534 | 2825000 | 0.0805 | | 0.7536 | 2826000 | 0.0745 | | 0.7539 | 2827000 | 0.08 | | 0.7542 | 2828000 | 0.0687 | | 0.7544 | 2829000 | 0.0788 | | 0.7547 | 2830000 | 0.0763 | | 0.7550 | 2831000 | 0.0713 | | 0.7552 | 2832000 | 0.0754 | | 0.7555 | 2833000 | 0.0775 | | 0.7558 | 2834000 | 0.0727 | | 0.7560 | 2835000 | 0.0775 | | 0.7563 | 2836000 | 0.0754 | | 0.7566 | 2837000 | 0.0782 | | 0.7568 | 2838000 | 0.0724 | | 0.7571 | 2839000 | 0.0769 | | 0.7574 | 2840000 | 0.0778 | | 0.7576 | 2841000 | 0.0783 | | 0.7579 | 2842000 | 0.0756 | | 0.7582 | 2843000 | 0.0759 | | 0.7584 | 2844000 | 0.0751 | | 0.7587 | 2845000 | 0.0807 | | 0.7590 | 2846000 | 0.0748 | | 0.7592 | 2847000 | 0.0744 | | 0.7595 | 2848000 | 0.079 | | 0.7598 | 2849000 | 0.0741 | | 0.7600 | 2850000 | 0.0743 | | 0.7603 | 2851000 | 0.0745 | | 0.7606 | 2852000 | 0.0756 | | 0.7608 | 2853000 | 0.0732 | | 0.7611 | 2854000 | 0.0746 | | 0.7614 | 2855000 | 0.0854 | | 0.7616 | 2856000 | 0.0656 | | 0.7619 | 2857000 | 0.0757 | | 0.7622 | 2858000 | 0.077 | | 0.7624 | 2859000 | 0.0745 | | 0.7627 | 2860000 | 0.0726 | | 0.7630 | 2861000 | 0.0765 | | 0.7632 | 2862000 | 0.0754 | | 0.7635 | 2863000 | 0.0792 | | 0.7638 | 2864000 | 0.0841 | | 0.7640 | 2865000 | 0.0773 | | 0.7643 | 2866000 | 0.0801 | | 0.7646 | 2867000 | 0.0693 | | 0.7648 | 2868000 | 0.0767 | | 0.7651 | 2869000 | 0.0768 | | 0.7654 | 2870000 | 0.069 | | 0.7656 | 2871000 | 0.073 | | 0.7659 | 2872000 | 0.0774 | | 0.7662 | 2873000 | 0.0731 | | 0.7664 | 2874000 | 0.0769 | | 0.7667 | 2875000 | 0.0766 | | 0.7670 | 2876000 | 0.0719 | | 0.7672 | 2877000 | 0.0725 | | 0.7675 | 2878000 | 0.079 | | 0.7678 | 2879000 | 0.0754 | | 0.7680 | 2880000 | 0.0671 | | 0.7683 | 2881000 | 0.0798 | | 0.7686 | 2882000 | 0.0712 | | 0.7688 | 2883000 | 0.0699 | | 0.7691 | 2884000 | 0.0765 | | 0.7694 | 2885000 | 0.0762 | | 0.7696 | 2886000 | 0.0746 | | 0.7699 | 2887000 | 0.0729 | | 0.7702 | 2888000 | 0.078 | | 0.7704 | 2889000 | 0.0712 | | 0.7707 | 2890000 | 0.073 | | 0.7710 | 2891000 | 0.078 | | 0.7712 | 2892000 | 0.0744 | | 0.7715 | 2893000 | 0.0692 | | 0.7718 | 2894000 | 0.0703 | | 0.7720 | 2895000 | 0.0767 | | 0.7723 | 2896000 | 0.0754 | | 0.7726 | 2897000 | 0.0751 | | 0.7728 | 2898000 | 0.0753 | | 0.7731 | 2899000 | 0.0823 | | 0.7734 | 2900000 | 0.0782 | | 0.7736 | 2901000 | 0.0793 | | 0.7739 | 2902000 | 0.0686 | | 0.7742 | 2903000 | 0.0727 | | 0.7744 | 2904000 | 0.0737 | | 0.7747 | 2905000 | 0.0717 | | 0.7750 | 2906000 | 0.0794 | | 0.7752 | 2907000 | 0.0722 | | 0.7755 | 2908000 | 0.0738 | | 0.7758 | 2909000 | 0.0778 | | 0.7760 | 2910000 | 0.0765 | | 0.7763 | 2911000 | 0.0772 | | 0.7766 | 2912000 | 0.0775 | | 0.7768 | 2913000 | 0.0733 | | 0.7771 | 2914000 | 0.0718 | | 0.7774 | 2915000 | 0.0743 | | 0.7776 | 2916000 | 0.0614 | | 0.7779 | 2917000 | 0.0736 | | 0.7782 | 2918000 | 0.0792 | | 0.7784 | 2919000 | 0.0716 | | 0.7787 | 2920000 | 0.0695 | | 0.7790 | 2921000 | 0.0735 | | 0.7792 | 2922000 | 0.074 | | 0.7795 | 2923000 | 0.0723 | | 0.7798 | 2924000 | 0.0662 | | 0.7800 | 2925000 | 0.0674 | | 0.7803 | 2926000 | 0.0771 | | 0.7806 | 2927000 | 0.0706 | | 0.7808 | 2928000 | 0.0756 | | 0.7811 | 2929000 | 0.0758 | | 0.7814 | 2930000 | 0.0828 | | 0.7816 | 2931000 | 0.075 | | 0.7819 | 2932000 | 0.079 | | 0.7822 | 2933000 | 0.0658 | | 0.7824 | 2934000 | 0.076 | | 0.7827 | 2935000 | 0.0776 | | 0.7830 | 2936000 | 0.0758 | | 0.7832 | 2937000 | 0.0748 | | 0.7835 | 2938000 | 0.0764 | | 0.7838 | 2939000 | 0.0745 | | 0.7840 | 2940000 | 0.0752 | | 0.7843 | 2941000 | 0.076 | | 0.7846 | 2942000 | 0.0772 | | 0.7848 | 2943000 | 0.0774 | | 0.7851 | 2944000 | 0.0799 | | 0.7854 | 2945000 | 0.0715 | | 0.7856 | 2946000 | 0.0696 | | 0.7859 | 2947000 | 0.0787 | | 0.7862 | 2948000 | 0.0817 | | 0.7864 | 2949000 | 0.066 | | 0.7867 | 2950000 | 0.0738 | | 0.7870 | 2951000 | 0.0749 | | 0.7872 | 2952000 | 0.0796 | | 0.7875 | 2953000 | 0.0761 | | 0.7878 | 2954000 | 0.0706 | | 0.7880 | 2955000 | 0.0716 | | 0.7883 | 2956000 | 0.0712 | | 0.7886 | 2957000 | 0.0699 | | 0.7888 | 2958000 | 0.0736 | | 0.7891 | 2959000 | 0.078 | | 0.7894 | 2960000 | 0.0735 | | 0.7896 | 2961000 | 0.0698 | | 0.7899 | 2962000 | 0.07 | | 0.7902 | 2963000 | 0.081 | | 0.7904 | 2964000 | 0.0737 | | 0.7907 | 2965000 | 0.0753 | | 0.7910 | 2966000 | 0.0694 | | 0.7912 | 2967000 | 0.0772 | | 0.7915 | 2968000 | 0.0779 | | 0.7918 | 2969000 | 0.0677 | | 0.7920 | 2970000 | 0.074 | | 0.7923 | 2971000 | 0.0737 | | 0.7926 | 2972000 | 0.0822 | | 0.7928 | 2973000 | 0.0697 | | 0.7931 | 2974000 | 0.0795 | | 0.7934 | 2975000 | 0.0734 | | 0.7936 | 2976000 | 0.0712 | | 0.7939 | 2977000 | 0.0794 | | 0.7942 | 2978000 | 0.0753 | | 0.7944 | 2979000 | 0.07 | | 0.7947 | 2980000 | 0.0759 | | 0.7950 | 2981000 | 0.0754 | | 0.7952 | 2982000 | 0.0735 | | 0.7955 | 2983000 | 0.0778 | | 0.7958 | 2984000 | 0.0659 | | 0.7960 | 2985000 | 0.0799 | | 0.7963 | 2986000 | 0.0734 | | 0.7966 | 2987000 | 0.0741 | | 0.7968 | 2988000 | 0.073 | | 0.7971 | 2989000 | 0.0714 | | 0.7974 | 2990000 | 0.0703 | | 0.7976 | 2991000 | 0.0748 | | 0.7979 | 2992000 | 0.0783 | | 0.7982 | 2993000 | 0.0756 | | 0.7984 | 2994000 | 0.0782 | | 0.7987 | 2995000 | 0.0813 | | 0.7990 | 2996000 | 0.0746 | | 0.7992 | 2997000 | 0.0713 | | 0.7995 | 2998000 | 0.08 | | 0.7998 | 2999000 | 0.0716 | | 0.8000 | 3000000 | 0.077 | | 0.8003 | 3001000 | 0.0726 | | 0.8006 | 3002000 | 0.0719 | | 0.8008 | 3003000 | 0.0741 | | 0.8011 | 3004000 | 0.0722 | | 0.8014 | 3005000 | 0.0723 | | 0.8016 | 3006000 | 0.0761 | | 0.8019 | 3007000 | 0.0737 | | 0.8022 | 3008000 | 0.0733 | | 0.8024 | 3009000 | 0.0733 | | 0.8027 | 3010000 | 0.0766 | | 0.8030 | 3011000 | 0.0742 | | 0.8032 | 3012000 | 0.0701 | | 0.8035 | 3013000 | 0.074 | | 0.8038 | 3014000 | 0.0724 | | 0.8040 | 3015000 | 0.0746 | | 0.8043 | 3016000 | 0.0748 | | 0.8046 | 3017000 | 0.0703 | | 0.8048 | 3018000 | 0.074 | | 0.8051 | 3019000 | 0.0718 | | 0.8054 | 3020000 | 0.0732 | | 0.8056 | 3021000 | 0.0761 | | 0.8059 | 3022000 | 0.0683 | | 0.8062 | 3023000 | 0.0739 | | 0.8064 | 3024000 | 0.0703 | | 0.8067 | 3025000 | 0.069 | | 0.8070 | 3026000 | 0.071 | | 0.8072 | 3027000 | 0.0722 | | 0.8075 | 3028000 | 0.0781 | | 0.8078 | 3029000 | 0.0743 | | 0.8080 | 3030000 | 0.0759 | | 0.8083 | 3031000 | 0.0706 | | 0.8086 | 3032000 | 0.0749 | | 0.8088 | 3033000 | 0.0795 | | 0.8091 | 3034000 | 0.0741 | | 0.8094 | 3035000 | 0.0677 | | 0.8096 | 3036000 | 0.0737 | | 0.8099 | 3037000 | 0.0745 | | 0.8102 | 3038000 | 0.0729 | | 0.8104 | 3039000 | 0.0725 | | 0.8107 | 3040000 | 0.0724 | | 0.8110 | 3041000 | 0.0734 | | 0.8112 | 3042000 | 0.0706 | | 0.8115 | 3043000 | 0.0728 | | 0.8118 | 3044000 | 0.0801 | | 0.8120 | 3045000 | 0.068 | | 0.8123 | 3046000 | 0.0805 | | 0.8126 | 3047000 | 0.069 | | 0.8128 | 3048000 | 0.0688 | | 0.8131 | 3049000 | 0.0716 | | 0.8134 | 3050000 | 0.0726 | | 0.8136 | 3051000 | 0.0742 | | 0.8139 | 3052000 | 0.073 | | 0.8142 | 3053000 | 0.0774 | | 0.8144 | 3054000 | 0.0692 | | 0.8147 | 3055000 | 0.0717 | | 0.8150 | 3056000 | 0.0805 | | 0.8152 | 3057000 | 0.074 | | 0.8155 | 3058000 | 0.0712 | | 0.8158 | 3059000 | 0.0752 | | 0.8160 | 3060000 | 0.0715 | | 0.8163 | 3061000 | 0.0761 | | 0.8166 | 3062000 | 0.0779 | | 0.8168 | 3063000 | 0.0716 | | 0.8171 | 3064000 | 0.076 | | 0.8174 | 3065000 | 0.071 | | 0.8176 | 3066000 | 0.0717 | | 0.8179 | 3067000 | 0.0726 | | 0.8182 | 3068000 | 0.0747 | | 0.8184 | 3069000 | 0.0736 | | 0.8187 | 3070000 | 0.0772 | | 0.8190 | 3071000 | 0.071 | | 0.8192 | 3072000 | 0.0715 | | 0.8195 | 3073000 | 0.0769 | | 0.8198 | 3074000 | 0.071 | | 0.8200 | 3075000 | 0.073 | | 0.8203 | 3076000 | 0.0659 | | 0.8206 | 3077000 | 0.0797 | | 0.8208 | 3078000 | 0.072 | | 0.8211 | 3079000 | 0.0726 | | 0.8214 | 3080000 | 0.0729 | | 0.8216 | 3081000 | 0.0773 | | 0.8219 | 3082000 | 0.0768 | | 0.8222 | 3083000 | 0.0691 | | 0.8224 | 3084000 | 0.0771 | | 0.8227 | 3085000 | 0.0685 | | 0.8230 | 3086000 | 0.0684 | | 0.8232 | 3087000 | 0.0727 | | 0.8235 | 3088000 | 0.0768 | | 0.8238 | 3089000 | 0.0776 | | 0.8240 | 3090000 | 0.0708 | | 0.8243 | 3091000 | 0.0678 | | 0.8246 | 3092000 | 0.0716 | | 0.8248 | 3093000 | 0.0717 | | 0.8251 | 3094000 | 0.0749 | | 0.8254 | 3095000 | 0.0753 | | 0.8256 | 3096000 | 0.0745 | | 0.8259 | 3097000 | 0.0785 | | 0.8262 | 3098000 | 0.0774 | | 0.8264 | 3099000 | 0.0693 | | 0.8267 | 3100000 | 0.0768 | | 0.8270 | 3101000 | 0.0776 | | 0.8272 | 3102000 | 0.0767 | | 0.8275 | 3103000 | 0.0703 | | 0.8278 | 3104000 | 0.0749 | | 0.8280 | 3105000 | 0.0742 | | 0.8283 | 3106000 | 0.0816 | | 0.8286 | 3107000 | 0.072 | | 0.8288 | 3108000 | 0.0699 | | 0.8291 | 3109000 | 0.0761 | | 0.8294 | 3110000 | 0.0739 | | 0.8296 | 3111000 | 0.0729 | | 0.8299 | 3112000 | 0.074 | | 0.8302 | 3113000 | 0.0786 | | 0.8304 | 3114000 | 0.0749 | | 0.8307 | 3115000 | 0.0747 | | 0.8310 | 3116000 | 0.0768 | | 0.8312 | 3117000 | 0.0718 | | 0.8315 | 3118000 | 0.0748 | | 0.8318 | 3119000 | 0.0717 | | 0.8320 | 3120000 | 0.0743 | | 0.8323 | 3121000 | 0.0723 | | 0.8326 | 3122000 | 0.0733 | | 0.8328 | 3123000 | 0.0722 | | 0.8331 | 3124000 | 0.0738 | | 0.8334 | 3125000 | 0.0746 | | 0.8336 | 3126000 | 0.0711 | | 0.8339 | 3127000 | 0.0797 | | 0.8342 | 3128000 | 0.0741 | | 0.8344 | 3129000 | 0.0715 | | 0.8347 | 3130000 | 0.0744 | | 0.8350 | 3131000 | 0.0732 | | 0.8352 | 3132000 | 0.0717 | | 0.8355 | 3133000 | 0.0727 | | 0.8358 | 3134000 | 0.0677 | | 0.8360 | 3135000 | 0.0746 | | 0.8363 | 3136000 | 0.0709 | | 0.8366 | 3137000 | 0.0748 | | 0.8368 | 3138000 | 0.0688 | | 0.8371 | 3139000 | 0.0681 | | 0.8374 | 3140000 | 0.0698 | | 0.8376 | 3141000 | 0.0751 | | 0.8379 | 3142000 | 0.0707 | | 0.8382 | 3143000 | 0.0758 | | 0.8384 | 3144000 | 0.0745 | | 0.8387 | 3145000 | 0.076 | | 0.8390 | 3146000 | 0.0736 | | 0.8392 | 3147000 | 0.0724 | | 0.8395 | 3148000 | 0.0688 | | 0.8398 | 3149000 | 0.0683 | | 0.8400 | 3150000 | 0.0739 | | 0.8403 | 3151000 | 0.0759 | | 0.8406 | 3152000 | 0.0708 | | 0.8408 | 3153000 | 0.0772 | | 0.8411 | 3154000 | 0.0719 | | 0.8414 | 3155000 | 0.0702 | | 0.8416 | 3156000 | 0.0777 | | 0.8419 | 3157000 | 0.0729 | | 0.8422 | 3158000 | 0.0733 | | 0.8424 | 3159000 | 0.0718 | | 0.8427 | 3160000 | 0.0765 | | 0.8430 | 3161000 | 0.0714 | | 0.8432 | 3162000 | 0.071 | | 0.8435 | 3163000 | 0.0784 | | 0.8438 | 3164000 | 0.0734 | | 0.8440 | 3165000 | 0.0755 | | 0.8443 | 3166000 | 0.0681 | | 0.8446 | 3167000 | 0.0721 | | 0.8448 | 3168000 | 0.0678 | | 0.8451 | 3169000 | 0.062 | | 0.8454 | 3170000 | 0.076 | | 0.8456 | 3171000 | 0.0668 | | 0.8459 | 3172000 | 0.076 | | 0.8462 | 3173000 | 0.0665 | | 0.8464 | 3174000 | 0.076 | | 0.8467 | 3175000 | 0.0716 | | 0.8470 | 3176000 | 0.0804 | | 0.8472 | 3177000 | 0.0701 | | 0.8475 | 3178000 | 0.0765 | | 0.8478 | 3179000 | 0.0691 | | 0.8480 | 3180000 | 0.0675 | | 0.8483 | 3181000 | 0.0661 | | 0.8486 | 3182000 | 0.0679 | | 0.8488 | 3183000 | 0.0704 | | 0.8491 | 3184000 | 0.0681 | | 0.8494 | 3185000 | 0.0666 | | 0.8496 | 3186000 | 0.0775 | | 0.8499 | 3187000 | 0.0673 | | 0.8502 | 3188000 | 0.074 | | 0.8504 | 3189000 | 0.0705 | | 0.8507 | 3190000 | 0.0778 | | 0.8510 | 3191000 | 0.0723 | | 0.8512 | 3192000 | 0.0708 | | 0.8515 | 3193000 | 0.0674 | | 0.8518 | 3194000 | 0.0782 | | 0.8520 | 3195000 | 0.0742 | | 0.8523 | 3196000 | 0.0753 | | 0.8526 | 3197000 | 0.0759 | | 0.8528 | 3198000 | 0.0737 | | 0.8531 | 3199000 | 0.0726 | | 0.8534 | 3200000 | 0.0792 | | 0.8536 | 3201000 | 0.0697 | | 0.8539 | 3202000 | 0.0747 | | 0.8542 | 3203000 | 0.0772 | | 0.8544 | 3204000 | 0.0732 | | 0.8547 | 3205000 | 0.0714 | | 0.8550 | 3206000 | 0.0675 | | 0.8552 | 3207000 | 0.0693 | | 0.8555 | 3208000 | 0.0741 | | 0.8558 | 3209000 | 0.0708 | | 0.8560 | 3210000 | 0.0777 | | 0.8563 | 3211000 | 0.0763 | | 0.8566 | 3212000 | 0.0763 | | 0.8568 | 3213000 | 0.0707 | | 0.8571 | 3214000 | 0.0716 | | 0.8574 | 3215000 | 0.0726 | | 0.8576 | 3216000 | 0.0743 | | 0.8579 | 3217000 | 0.0754 | | 0.8582 | 3218000 | 0.0713 | | 0.8584 | 3219000 | 0.0776 | | 0.8587 | 3220000 | 0.0754 | | 0.8590 | 3221000 | 0.0716 | | 0.8592 | 3222000 | 0.0762 | | 0.8595 | 3223000 | 0.079 | | 0.8598 | 3224000 | 0.0647 | | 0.8600 | 3225000 | 0.0733 | | 0.8603 | 3226000 | 0.0811 | | 0.8606 | 3227000 | 0.0683 | | 0.8608 | 3228000 | 0.0753 | | 0.8611 | 3229000 | 0.0718 | | 0.8614 | 3230000 | 0.0673 | | 0.8616 | 3231000 | 0.0738 | | 0.8619 | 3232000 | 0.0688 | | 0.8622 | 3233000 | 0.0705 | | 0.8624 | 3234000 | 0.0715 | | 0.8627 | 3235000 | 0.0751 | | 0.8630 | 3236000 | 0.0737 | | 0.8632 | 3237000 | 0.0709 | | 0.8635 | 3238000 | 0.0677 | | 0.8638 | 3239000 | 0.0663 | | 0.8640 | 3240000 | 0.0783 | | 0.8643 | 3241000 | 0.0719 | | 0.8646 | 3242000 | 0.0715 | | 0.8648 | 3243000 | 0.0767 | | 0.8651 | 3244000 | 0.0751 | | 0.8654 | 3245000 | 0.0758 | | 0.8656 | 3246000 | 0.0756 | | 0.8659 | 3247000 | 0.07 | | 0.8662 | 3248000 | 0.0716 | | 0.8664 | 3249000 | 0.0696 | | 0.8667 | 3250000 | 0.0743 | | 0.8670 | 3251000 | 0.0728 | | 0.8672 | 3252000 | 0.067 | | 0.8675 | 3253000 | 0.0706 | | 0.8678 | 3254000 | 0.0696 | | 0.8680 | 3255000 | 0.0709 | | 0.8683 | 3256000 | 0.0741 | | 0.8686 | 3257000 | 0.0812 | | 0.8688 | 3258000 | 0.0734 | | 0.8691 | 3259000 | 0.0732 | | 0.8694 | 3260000 | 0.0725 | | 0.8696 | 3261000 | 0.0681 | | 0.8699 | 3262000 | 0.0703 | | 0.8702 | 3263000 | 0.0717 | | 0.8704 | 3264000 | 0.0721 | | 0.8707 | 3265000 | 0.0725 | | 0.8710 | 3266000 | 0.072 | | 0.8712 | 3267000 | 0.0732 | | 0.8715 | 3268000 | 0.0717 | | 0.8718 | 3269000 | 0.0717 | | 0.8720 | 3270000 | 0.0696 | | 0.8723 | 3271000 | 0.069 | | 0.8726 | 3272000 | 0.0674 | | 0.8728 | 3273000 | 0.0715 | | 0.8731 | 3274000 | 0.0726 | | 0.8734 | 3275000 | 0.0738 | | 0.8736 | 3276000 | 0.064 | | 0.8739 | 3277000 | 0.0783 | | 0.8742 | 3278000 | 0.072 | | 0.8744 | 3279000 | 0.0709 | | 0.8747 | 3280000 | 0.0695 | | 0.8750 | 3281000 | 0.0715 | | 0.8752 | 3282000 | 0.0689 | | 0.8755 | 3283000 | 0.0706 | | 0.8758 | 3284000 | 0.0708 | | 0.8760 | 3285000 | 0.0695 | | 0.8763 | 3286000 | 0.0763 | | 0.8766 | 3287000 | 0.0701 | | 0.8768 | 3288000 | 0.0695 | | 0.8771 | 3289000 | 0.0679 | | 0.8774 | 3290000 | 0.0762 | | 0.8776 | 3291000 | 0.0683 | | 0.8779 | 3292000 | 0.0723 | | 0.8782 | 3293000 | 0.0756 | | 0.8784 | 3294000 | 0.0708 | | 0.8787 | 3295000 | 0.0648 | | 0.8790 | 3296000 | 0.0693 | | 0.8792 | 3297000 | 0.0765 | | 0.8795 | 3298000 | 0.0701 | | 0.8798 | 3299000 | 0.0635 | | 0.8800 | 3300000 | 0.0713 | | 0.8803 | 3301000 | 0.0717 | | 0.8806 | 3302000 | 0.0725 | | 0.8808 | 3303000 | 0.0733 | | 0.8811 | 3304000 | 0.0676 | | 0.8814 | 3305000 | 0.0693 | | 0.8816 | 3306000 | 0.0732 | | 0.8819 | 3307000 | 0.0727 | | 0.8822 | 3308000 | 0.0656 | | 0.8824 | 3309000 | 0.0697 | | 0.8827 | 3310000 | 0.0739 | | 0.8830 | 3311000 | 0.0685 | | 0.8832 | 3312000 | 0.0741 | | 0.8835 | 3313000 | 0.0708 | | 0.8838 | 3314000 | 0.0697 | | 0.8840 | 3315000 | 0.0756 | | 0.8843 | 3316000 | 0.0739 | | 0.8846 | 3317000 | 0.077 | | 0.8848 | 3318000 | 0.0742 | | 0.8851 | 3319000 | 0.0726 | | 0.8854 | 3320000 | 0.0708 | | 0.8856 | 3321000 | 0.0728 | | 0.8859 | 3322000 | 0.0723 | | 0.8862 | 3323000 | 0.0672 | | 0.8864 | 3324000 | 0.0693 | | 0.8867 | 3325000 | 0.0775 | | 0.8870 | 3326000 | 0.0744 | | 0.8872 | 3327000 | 0.0687 | | 0.8875 | 3328000 | 0.0751 | | 0.8878 | 3329000 | 0.0745 | | 0.8880 | 3330000 | 0.0711 | | 0.8883 | 3331000 | 0.0717 | | 0.8886 | 3332000 | 0.072 | | 0.8888 | 3333000 | 0.0712 | | 0.8891 | 3334000 | 0.0722 | | 0.8894 | 3335000 | 0.0721 | | 0.8896 | 3336000 | 0.0683 | | 0.8899 | 3337000 | 0.0773 | | 0.8902 | 3338000 | 0.0632 | | 0.8904 | 3339000 | 0.0695 | | 0.8907 | 3340000 | 0.0696 | | 0.8910 | 3341000 | 0.0687 | | 0.8912 | 3342000 | 0.0759 | | 0.8915 | 3343000 | 0.076 | | 0.8918 | 3344000 | 0.0696 | | 0.8920 | 3345000 | 0.0655 | | 0.8923 | 3346000 | 0.0668 | | 0.8926 | 3347000 | 0.0714 | | 0.8928 | 3348000 | 0.0733 | | 0.8931 | 3349000 | 0.0759 | | 0.8934 | 3350000 | 0.0767 | | 0.8936 | 3351000 | 0.0721 | | 0.8939 | 3352000 | 0.0651 | | 0.8942 | 3353000 | 0.0694 | | 0.8944 | 3354000 | 0.071 | | 0.8947 | 3355000 | 0.0723 | | 0.8950 | 3356000 | 0.0779 | | 0.8952 | 3357000 | 0.0674 | | 0.8955 | 3358000 | 0.0717 | | 0.8958 | 3359000 | 0.0734 | | 0.8960 | 3360000 | 0.0731 | | 0.8963 | 3361000 | 0.0663 | | 0.8966 | 3362000 | 0.0683 | | 0.8968 | 3363000 | 0.0661 | | 0.8971 | 3364000 | 0.0728 | | 0.8974 | 3365000 | 0.0664 | | 0.8976 | 3366000 | 0.0695 | | 0.8979 | 3367000 | 0.0735 | | 0.8982 | 3368000 | 0.0705 | | 0.8984 | 3369000 | 0.0765 | | 0.8987 | 3370000 | 0.073 | | 0.8990 | 3371000 | 0.07 | | 0.8992 | 3372000 | 0.0734 | | 0.8995 | 3373000 | 0.0716 | | 0.8998 | 3374000 | 0.0746 | | 0.9000 | 3375000 | 0.062 | | 0.9003 | 3376000 | 0.0677 | | 0.9006 | 3377000 | 0.069 | | 0.9008 | 3378000 | 0.0708 | | 0.9011 | 3379000 | 0.0704 | | 0.9014 | 3380000 | 0.0701 | | 0.9016 | 3381000 | 0.066 | | 0.9019 | 3382000 | 0.0667 | | 0.9022 | 3383000 | 0.0637 | | 0.9024 | 3384000 | 0.0697 | | 0.9027 | 3385000 | 0.0682 | | 0.9030 | 3386000 | 0.069 | | 0.9032 | 3387000 | 0.0728 | | 0.9035 | 3388000 | 0.0748 | | 0.9038 | 3389000 | 0.0748 | | 0.9040 | 3390000 | 0.0618 | | 0.9043 | 3391000 | 0.0735 | | 0.9046 | 3392000 | 0.0707 | | 0.9048 | 3393000 | 0.0769 | | 0.9051 | 3394000 | 0.0759 | | 0.9054 | 3395000 | 0.0681 | | 0.9056 | 3396000 | 0.0744 | | 0.9059 | 3397000 | 0.0771 | | 0.9062 | 3398000 | 0.0676 | | 0.9064 | 3399000 | 0.0721 | | 0.9067 | 3400000 | 0.0711 | | 0.9070 | 3401000 | 0.0751 | | 0.9072 | 3402000 | 0.0699 | | 0.9075 | 3403000 | 0.0682 | | 0.9078 | 3404000 | 0.0706 | | 0.9080 | 3405000 | 0.0738 | | 0.9083 | 3406000 | 0.0694 | | 0.9086 | 3407000 | 0.071 | | 0.9088 | 3408000 | 0.0715 | | 0.9091 | 3409000 | 0.0671 | | 0.9094 | 3410000 | 0.0702 | | 0.9096 | 3411000 | 0.0745 | | 0.9099 | 3412000 | 0.0727 | | 0.9102 | 3413000 | 0.0718 | | 0.9104 | 3414000 | 0.0643 | | 0.9107 | 3415000 | 0.0713 | | 0.9110 | 3416000 | 0.0705 | | 0.9112 | 3417000 | 0.0673 | | 0.9115 | 3418000 | 0.0666 | | 0.9118 | 3419000 | 0.0736 | | 0.9120 | 3420000 | 0.0689 | | 0.9123 | 3421000 | 0.0706 | | 0.9126 | 3422000 | 0.0716 | | 0.9128 | 3423000 | 0.0697 | | 0.9131 | 3424000 | 0.0736 | | 0.9134 | 3425000 | 0.0679 | | 0.9136 | 3426000 | 0.0683 | | 0.9139 | 3427000 | 0.0735 | | 0.9142 | 3428000 | 0.0669 | | 0.9144 | 3429000 | 0.0688 | | 0.9147 | 3430000 | 0.0689 | | 0.9150 | 3431000 | 0.0707 | | 0.9152 | 3432000 | 0.0752 | | 0.9155 | 3433000 | 0.0741 | | 0.9158 | 3434000 | 0.0721 | | 0.9160 | 3435000 | 0.0605 | | 0.9163 | 3436000 | 0.0721 | | 0.9166 | 3437000 | 0.072 | | 0.9168 | 3438000 | 0.0681 | | 0.9171 | 3439000 | 0.0737 | | 0.9174 | 3440000 | 0.0728 | | 0.9176 | 3441000 | 0.0705 | | 0.9179 | 3442000 | 0.0713 | | 0.9182 | 3443000 | 0.0701 | | 0.9184 | 3444000 | 0.0713 | | 0.9187 | 3445000 | 0.0672 | | 0.9190 | 3446000 | 0.0712 | | 0.9192 | 3447000 | 0.0747 | | 0.9195 | 3448000 | 0.0716 | | 0.9198 | 3449000 | 0.0737 | | 0.9200 | 3450000 | 0.0691 | | 0.9203 | 3451000 | 0.0781 | | 0.9206 | 3452000 | 0.0694 | | 0.9208 | 3453000 | 0.0656 | | 0.9211 | 3454000 | 0.0733 | | 0.9214 | 3455000 | 0.0699 | | 0.9216 | 3456000 | 0.0729 | | 0.9219 | 3457000 | 0.0711 | | 0.9222 | 3458000 | 0.0684 | | 0.9224 | 3459000 | 0.0677 | | 0.9227 | 3460000 | 0.0803 | | 0.9230 | 3461000 | 0.0659 | | 0.9232 | 3462000 | 0.067 | | 0.9235 | 3463000 | 0.0643 | | 0.9238 | 3464000 | 0.0681 | | 0.9240 | 3465000 | 0.0699 | | 0.9243 | 3466000 | 0.0701 | | 0.9246 | 3467000 | 0.069 | | 0.9248 | 3468000 | 0.0684 | | 0.9251 | 3469000 | 0.0724 | | 0.9254 | 3470000 | 0.061 | | 0.9256 | 3471000 | 0.0662 | | 0.9259 | 3472000 | 0.0709 | | 0.9262 | 3473000 | 0.0731 | | 0.9264 | 3474000 | 0.0713 | | 0.9267 | 3475000 | 0.071 | | 0.9270 | 3476000 | 0.0724 | | 0.9272 | 3477000 | 0.0719 | | 0.9275 | 3478000 | 0.0701 | | 0.9278 | 3479000 | 0.0696 | | 0.9280 | 3480000 | 0.0671 | | 0.9283 | 3481000 | 0.068 | | 0.9286 | 3482000 | 0.0695 | | 0.9288 | 3483000 | 0.0736 | | 0.9291 | 3484000 | 0.0679 | | 0.9294 | 3485000 | 0.0725 | | 0.9296 | 3486000 | 0.0673 | | 0.9299 | 3487000 | 0.072 | | 0.9302 | 3488000 | 0.0766 | | 0.9304 | 3489000 | 0.0679 | | 0.9307 | 3490000 | 0.0687 | | 0.9310 | 3491000 | 0.0698 | | 0.9312 | 3492000 | 0.0738 | | 0.9315 | 3493000 | 0.067 | | 0.9318 | 3494000 | 0.0719 | | 0.9320 | 3495000 | 0.0697 | | 0.9323 | 3496000 | 0.0709 | | 0.9326 | 3497000 | 0.069 | | 0.9328 | 3498000 | 0.0708 | | 0.9331 | 3499000 | 0.0673 | | 0.9334 | 3500000 | 0.0692 | | 0.9336 | 3501000 | 0.072 | | 0.9339 | 3502000 | 0.0624 | | 0.9342 | 3503000 | 0.0657 | | 0.9344 | 3504000 | 0.0745 | | 0.9347 | 3505000 | 0.0724 | | 0.9350 | 3506000 | 0.0635 | | 0.9352 | 3507000 | 0.069 | | 0.9355 | 3508000 | 0.0684 | | 0.9358 | 3509000 | 0.0725 | | 0.9360 | 3510000 | 0.0712 | | 0.9363 | 3511000 | 0.069 | | 0.9366 | 3512000 | 0.0666 | | 0.9368 | 3513000 | 0.0723 | | 0.9371 | 3514000 | 0.0738 | | 0.9374 | 3515000 | 0.0678 | | 0.9376 | 3516000 | 0.0683 | | 0.9379 | 3517000 | 0.0663 | | 0.9382 | 3518000 | 0.0692 | | 0.9384 | 3519000 | 0.0715 | | 0.9387 | 3520000 | 0.0719 | | 0.9390 | 3521000 | 0.0629 | | 0.9392 | 3522000 | 0.0644 | | 0.9395 | 3523000 | 0.0666 | | 0.9398 | 3524000 | 0.0738 | | 0.9400 | 3525000 | 0.0687 | | 0.9403 | 3526000 | 0.0675 | | 0.9406 | 3527000 | 0.0692 | | 0.9408 | 3528000 | 0.0723 | | 0.9411 | 3529000 | 0.0734 | | 0.9414 | 3530000 | 0.0678 | | 0.9416 | 3531000 | 0.0652 | | 0.9419 | 3532000 | 0.0705 | | 0.9422 | 3533000 | 0.0675 | | 0.9424 | 3534000 | 0.0714 | | 0.9427 | 3535000 | 0.0726 | | 0.9430 | 3536000 | 0.0687 | | 0.9432 | 3537000 | 0.0697 | | 0.9435 | 3538000 | 0.066 | | 0.9438 | 3539000 | 0.0701 | | 0.9440 | 3540000 | 0.0728 | | 0.9443 | 3541000 | 0.0668 | | 0.9446 | 3542000 | 0.0712 | | 0.9448 | 3543000 | 0.0692 | | 0.9451 | 3544000 | 0.0712 | | 0.9454 | 3545000 | 0.0729 | | 0.9456 | 3546000 | 0.0758 | | 0.9459 | 3547000 | 0.0648 | | 0.9462 | 3548000 | 0.065 | | 0.9464 | 3549000 | 0.0704 | | 0.9467 | 3550000 | 0.0745 | | 0.9470 | 3551000 | 0.0745 | | 0.9472 | 3552000 | 0.0709 | | 0.9475 | 3553000 | 0.0715 | | 0.9478 | 3554000 | 0.0625 | | 0.9480 | 3555000 | 0.0734 | | 0.9483 | 3556000 | 0.0704 | | 0.9486 | 3557000 | 0.0707 | | 0.9488 | 3558000 | 0.0699 | | 0.9491 | 3559000 | 0.0708 | | 0.9494 | 3560000 | 0.0701 | | 0.9496 | 3561000 | 0.0721 | | 0.9499 | 3562000 | 0.0656 | | 0.9502 | 3563000 | 0.0649 | | 0.9504 | 3564000 | 0.0714 | | 0.9507 | 3565000 | 0.0669 | | 0.9510 | 3566000 | 0.0656 | | 0.9512 | 3567000 | 0.066 | | 0.9515 | 3568000 | 0.0649 | | 0.9518 | 3569000 | 0.0739 | | 0.9520 | 3570000 | 0.072 | | 0.9523 | 3571000 | 0.0664 | | 0.9526 | 3572000 | 0.066 | | 0.9528 | 3573000 | 0.0655 | | 0.9531 | 3574000 | 0.0698 | | 0.9534 | 3575000 | 0.0688 | | 0.9536 | 3576000 | 0.0656 | | 0.9539 | 3577000 | 0.0672 | | 0.9542 | 3578000 | 0.0678 | | 0.9544 | 3579000 | 0.0662 | | 0.9547 | 3580000 | 0.068 | | 0.9550 | 3581000 | 0.0707 | | 0.9552 | 3582000 | 0.0697 | | 0.9555 | 3583000 | 0.0732 | | 0.9558 | 3584000 | 0.075 | | 0.9560 | 3585000 | 0.0699 | | 0.9563 | 3586000 | 0.0665 | | 0.9566 | 3587000 | 0.0709 | | 0.9568 | 3588000 | 0.0719 | | 0.9571 | 3589000 | 0.0686 | | 0.9574 | 3590000 | 0.0731 | | 0.9576 | 3591000 | 0.0656 | | 0.9579 | 3592000 | 0.0656 | | 0.9582 | 3593000 | 0.07 | | 0.9584 | 3594000 | 0.0753 | | 0.9587 | 3595000 | 0.0677 | | 0.9590 | 3596000 | 0.0693 | | 0.9592 | 3597000 | 0.068 | | 0.9595 | 3598000 | 0.0717 | | 0.9598 | 3599000 | 0.0733 | | 0.9600 | 3600000 | 0.0659 | | 0.9603 | 3601000 | 0.0682 | | 0.9606 | 3602000 | 0.0718 | | 0.9608 | 3603000 | 0.0719 | | 0.9611 | 3604000 | 0.0685 | | 0.9614 | 3605000 | 0.0647 | | 0.9616 | 3606000 | 0.0681 | | 0.9619 | 3607000 | 0.0723 | | 0.9622 | 3608000 | 0.0678 | | 0.9624 | 3609000 | 0.0654 | | 0.9627 | 3610000 | 0.0721 | | 0.9630 | 3611000 | 0.0672 | | 0.9632 | 3612000 | 0.066 | | 0.9635 | 3613000 | 0.0694 | | 0.9638 | 3614000 | 0.0727 | | 0.9640 | 3615000 | 0.0658 | | 0.9643 | 3616000 | 0.0648 | | 0.9646 | 3617000 | 0.0722 | | 0.9648 | 3618000 | 0.0712 | | 0.9651 | 3619000 | 0.0668 | | 0.9654 | 3620000 | 0.0716 | | 0.9656 | 3621000 | 0.0679 | | 0.9659 | 3622000 | 0.0663 | | 0.9662 | 3623000 | 0.0688 | | 0.9664 | 3624000 | 0.0619 | | 0.9667 | 3625000 | 0.0775 | | 0.9670 | 3626000 | 0.0651 | | 0.9672 | 3627000 | 0.0673 | | 0.9675 | 3628000 | 0.0736 | | 0.9678 | 3629000 | 0.0716 | | 0.9680 | 3630000 | 0.0744 | | 0.9683 | 3631000 | 0.069 | | 0.9686 | 3632000 | 0.0677 | | 0.9688 | 3633000 | 0.0724 | | 0.9691 | 3634000 | 0.0688 | | 0.9694 | 3635000 | 0.0675 | | 0.9696 | 3636000 | 0.069 | | 0.9699 | 3637000 | 0.0661 | | 0.9702 | 3638000 | 0.0685 | | 0.9704 | 3639000 | 0.0742 | | 0.9707 | 3640000 | 0.0607 | | 0.9710 | 3641000 | 0.0759 | | 0.9712 | 3642000 | 0.066 | | 0.9715 | 3643000 | 0.0738 | | 0.9718 | 3644000 | 0.0698 | | 0.9720 | 3645000 | 0.062 | | 0.9723 | 3646000 | 0.0679 | | 0.9726 | 3647000 | 0.0626 | | 0.9728 | 3648000 | 0.0681 | | 0.9731 | 3649000 | 0.0674 | | 0.9734 | 3650000 | 0.0661 | | 0.9736 | 3651000 | 0.0687 | | 0.9739 | 3652000 | 0.0612 | | 0.9742 | 3653000 | 0.0696 | | 0.9744 | 3654000 | 0.0667 | | 0.9747 | 3655000 | 0.0695 | | 0.9750 | 3656000 | 0.0679 | | 0.9752 | 3657000 | 0.0603 | | 0.9755 | 3658000 | 0.0608 | | 0.9758 | 3659000 | 0.0684 | | 0.9760 | 3660000 | 0.0651 | | 0.9763 | 3661000 | 0.0633 | | 0.9766 | 3662000 | 0.0701 | | 0.9768 | 3663000 | 0.0737 | | 0.9771 | 3664000 | 0.0702 | | 0.9774 | 3665000 | 0.0738 | | 0.9776 | 3666000 | 0.0651 | | 0.9779 | 3667000 | 0.0707 | | 0.9782 | 3668000 | 0.0673 | | 0.9784 | 3669000 | 0.0725 | | 0.9787 | 3670000 | 0.0643 | | 0.9790 | 3671000 | 0.0652 | | 0.9792 | 3672000 | 0.0684 | | 0.9795 | 3673000 | 0.0665 | | 0.9798 | 3674000 | 0.0692 | | 0.9800 | 3675000 | 0.064 | | 0.9803 | 3676000 | 0.0664 | | 0.9806 | 3677000 | 0.0676 | | 0.9808 | 3678000 | 0.071 | | 0.9811 | 3679000 | 0.0723 | | 0.9814 | 3680000 | 0.0714 | | 0.9816 | 3681000 | 0.0738 | | 0.9819 | 3682000 | 0.0659 | | 0.9822 | 3683000 | 0.0717 | | 0.9824 | 3684000 | 0.0731 | | 0.9827 | 3685000 | 0.0674 | | 0.9830 | 3686000 | 0.0667 | | 0.9832 | 3687000 | 0.0672 | | 0.9835 | 3688000 | 0.066 | | 0.9838 | 3689000 | 0.0669 | | 0.9840 | 3690000 | 0.0659 | | 0.9843 | 3691000 | 0.0653 | | 0.9846 | 3692000 | 0.064 | | 0.9848 | 3693000 | 0.0676 | | 0.9851 | 3694000 | 0.0712 | | 0.9854 | 3695000 | 0.0669 | | 0.9856 | 3696000 | 0.0643 | | 0.9859 | 3697000 | 0.0696 | | 0.9862 | 3698000 | 0.0661 | | 0.9864 | 3699000 | 0.0673 | | 0.9867 | 3700000 | 0.0736 | | 0.9870 | 3701000 | 0.0689 | | 0.9872 | 3702000 | 0.0706 | | 0.9875 | 3703000 | 0.0622 | | 0.9878 | 3704000 | 0.0651 | | 0.9880 | 3705000 | 0.072 | | 0.9883 | 3706000 | 0.0625 | | 0.9886 | 3707000 | 0.0648 | | 0.9888 | 3708000 | 0.062 | | 0.9891 | 3709000 | 0.0693 | | 0.9894 | 3710000 | 0.0638 | | 0.9896 | 3711000 | 0.0687 | | 0.9899 | 3712000 | 0.0702 | | 0.9902 | 3713000 | 0.0709 | | 0.9904 | 3714000 | 0.0679 | | 0.9907 | 3715000 | 0.0649 | | 0.9910 | 3716000 | 0.0676 | | 0.9912 | 3717000 | 0.0734 | | 0.9915 | 3718000 | 0.0686 | | 0.9918 | 3719000 | 0.0666 | | 0.9920 | 3720000 | 0.0636 | | 0.9923 | 3721000 | 0.0703 | | 0.9926 | 3722000 | 0.0593 | | 0.9928 | 3723000 | 0.0646 | | 0.9931 | 3724000 | 0.0675 | | 0.9934 | 3725000 | 0.0702 | | 0.9936 | 3726000 | 0.0694 | | 0.9939 | 3727000 | 0.0675 | | 0.9942 | 3728000 | 0.0645 | | 0.9944 | 3729000 | 0.0643 | | 0.9947 | 3730000 | 0.0662 | | 0.9950 | 3731000 | 0.0685 | | 0.9952 | 3732000 | 0.0678 | | 0.9955 | 3733000 | 0.0737 | | 0.9958 | 3734000 | 0.0592 | | 0.9960 | 3735000 | 0.0674 | | 0.9963 | 3736000 | 0.0698 | | 0.9966 | 3737000 | 0.0698 | | 0.9968 | 3738000 | 0.0697 | | 0.9971 | 3739000 | 0.0656 | | 0.9974 | 3740000 | 0.0684 | | 0.9976 | 3741000 | 0.0703 | | 0.9979 | 3742000 | 0.0643 | | 0.9982 | 3743000 | 0.0665 | | 0.9984 | 3744000 | 0.07 | | 0.9987 | 3745000 | 0.0688 | | 0.9990 | 3746000 | 0.0677 | | 0.9992 | 3747000 | 0.0673 | | 0.9995 | 3748000 | 0.0623 | | 0.9998 | 3749000 | 0.0662 |
### Framework Versions - Python: 3.12.2 - Sentence Transformers: 3.2.1 - Transformers: 4.46.1 - PyTorch: 2.5.0 - Accelerate: 1.0.1 - Datasets: 3.0.2 - Tokenizers: 0.20.1 ## 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", } ``` #### CustomTripletLoss ```bibtex @misc{hermans2017defense, title={In Defense of the Triplet Loss for Person Re-Identification}, author={Alexander Hermans and Lucas Beyer and Bastian Leibe}, year={2017}, eprint={1703.07737}, archivePrefix={arXiv}, primaryClass={cs.CV} } ```