From ba6fe182546adced5c9742df1f06a85179612a48 Mon Sep 17 00:00:00 2001
From: Julien Breton <julien.breton@irit.fr>
Date: Wed, 10 Jul 2024 11:41:08 +0200
Subject: [PATCH] results GPT + RB & clean project models folder
---
.gitignore | 26 +-
models/CamemBERT-base/.gitkeep | 0
models/Fine-tuned_CamemBERT-base/.gitkeep | 0
models/Fine-tuned_Miqu-1-70b/.gitkeep | 0
models/Fine-tuned_Mistral-7B/.gitkeep | 0
models/Fine-tuned_Mixtral-8x7b/.gitkeep | 0
models/Miqu-1-70b/.gitkeep | 0
models/Mistral-7B-Instruct-v0.2/.gitkeep | 0
models/Mixtral-8x7B-Instruct-v0.1/.gitkeep | 0
.../finetuning-legal-bert-classifier.ipynb | 6 +-
...+RB-finetuning-legal-bert-classifier.ipynb | 4816 +++++++++--------
results/Hybrid/GPT+RB_legal_bert.png | Bin 0 -> 30381 bytes
test.py | 31 -
13 files changed, 2467 insertions(+), 2412 deletions(-)
delete mode 100644 models/CamemBERT-base/.gitkeep
delete mode 100644 models/Fine-tuned_CamemBERT-base/.gitkeep
delete mode 100644 models/Fine-tuned_Miqu-1-70b/.gitkeep
delete mode 100644 models/Fine-tuned_Mistral-7B/.gitkeep
delete mode 100644 models/Fine-tuned_Mixtral-8x7b/.gitkeep
delete mode 100644 models/Miqu-1-70b/.gitkeep
delete mode 100644 models/Mistral-7B-Instruct-v0.2/.gitkeep
delete mode 100644 models/Mixtral-8x7B-Instruct-v0.1/.gitkeep
create mode 100644 results/Hybrid/GPT+RB_legal_bert.png
delete mode 100644 test.py
diff --git a/.gitignore b/.gitignore
index c722019..fa956d5 100644
--- a/.gitignore
+++ b/.gitignore
@@ -160,29 +160,13 @@ cython_debug/
.idea/
temp
-models/Mixtral-8x7B-Instruct-v0.1/*
-!models/Mixtral-8x7B-Instruct-v0.1/.gitkeep
-models/Mistral-7B-Instruct-v0.2/*
-!models/Mistral-7B-Instruct-v0.2/.gitkeep
-models/Fine-tuned_Mixtral-8x7b/*
-!models/Fine-tuned_Mixtral-8x7b/.gitkeep
-models/Fine-tuned_Mistral-7B/*
-!models/Fine-tuned_Mistral-7B/.gitkeep
-models/Miqu-1-70b/*
-!models/Miqu-1-70b/.gitkeep
-models/Fine-tuned_Miqu-1-70b/*
-!models/Fine-tuned_Miqu-1-70b/.gitkeep
-models/CamemBERT-base/*
-!models/CamemBERT-base/.gitkeep
-models/Fine-tuned_CamemBERT-base/*
-!models/Fine-tuned_CamemBERT-base/.gitkeep
-models/LegalCamemBERT-base/*
-!models/LegalCamemBERT-base/.gitkeep
-models/Fine-tuned_LegalCamemBERT-base/*
-!models/Fine-tuned_LegalCamemBERT-base/.gitkeep
+models/
+!models/download_model.py
+
modules/llm/Mixtral-8x7b/results/*
modules/llm/Mixtral-8x7b/.lock_preprocessing
modules/llm/Mistral-7b/results/*
modules/llm/Miqu-1-70b/results/*
-modules/camembert/models/*
+modules/bert/models
+modules/hybrid/models
diff --git a/models/CamemBERT-base/.gitkeep b/models/CamemBERT-base/.gitkeep
deleted file mode 100644
index e69de29..0000000
diff --git a/models/Fine-tuned_CamemBERT-base/.gitkeep b/models/Fine-tuned_CamemBERT-base/.gitkeep
deleted file mode 100644
index e69de29..0000000
diff --git a/models/Fine-tuned_Miqu-1-70b/.gitkeep b/models/Fine-tuned_Miqu-1-70b/.gitkeep
deleted file mode 100644
index e69de29..0000000
diff --git a/models/Fine-tuned_Mistral-7B/.gitkeep b/models/Fine-tuned_Mistral-7B/.gitkeep
deleted file mode 100644
index e69de29..0000000
diff --git a/models/Fine-tuned_Mixtral-8x7b/.gitkeep b/models/Fine-tuned_Mixtral-8x7b/.gitkeep
deleted file mode 100644
index e69de29..0000000
diff --git a/models/Miqu-1-70b/.gitkeep b/models/Miqu-1-70b/.gitkeep
deleted file mode 100644
index e69de29..0000000
diff --git a/models/Mistral-7B-Instruct-v0.2/.gitkeep b/models/Mistral-7B-Instruct-v0.2/.gitkeep
deleted file mode 100644
index e69de29..0000000
diff --git a/models/Mixtral-8x7B-Instruct-v0.1/.gitkeep b/models/Mixtral-8x7B-Instruct-v0.1/.gitkeep
deleted file mode 100644
index e69de29..0000000
diff --git a/modules/bert/finetuning-legal-bert-classifier.ipynb b/modules/bert/finetuning-legal-bert-classifier.ipynb
index 596bc6a..87fd49c 100644
--- a/modules/bert/finetuning-legal-bert-classifier.ipynb
+++ b/modules/bert/finetuning-legal-bert-classifier.ipynb
@@ -480,7 +480,7 @@
" <div>\n",
" \n",
" <progress value='1300' max='1300' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
- " [1300/1300 09:19, Epoch 100/100]\n",
+ " [1300/1300 09:29, Epoch 100/100]\n",
" </div>\n",
" <table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
@@ -3529,7 +3529,7 @@
{
"data": {
"text/plain": [
- "TrainOutput(global_step=1300, training_loss=0.03139937967061997, metrics={'train_runtime': 560.5436, 'train_samples_per_second': 36.75, 'train_steps_per_second': 2.319, 'total_flos': 2691526921113600.0, 'train_loss': 0.03139937967061997, 'epoch': 100.0})"
+ "TrainOutput(global_step=1300, training_loss=0.03139937967061997, metrics={'train_runtime': 569.8788, 'train_samples_per_second': 36.148, 'train_steps_per_second': 2.281, 'total_flos': 2691526921113600.0, 'train_loss': 0.03139937967061997, 'epoch': 100.0})"
]
},
"execution_count": 13,
@@ -3560,7 +3560,7 @@
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 14,
"id": "6b029310-5257-41d8-a5f7-3bbb2021ebae",
"metadata": {},
"outputs": [
diff --git a/modules/hybrid/GPT+RB-finetuning-legal-bert-classifier.ipynb b/modules/hybrid/GPT+RB-finetuning-legal-bert-classifier.ipynb
index 108bb50..bd3c65b 100644
--- a/modules/hybrid/GPT+RB-finetuning-legal-bert-classifier.ipynb
+++ b/modules/hybrid/GPT+RB-finetuning-legal-bert-classifier.ipynb
@@ -59,7 +59,50 @@
"start_time": "2024-06-27T14:45:38.632569Z"
}
},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "HF google storage unreachable. Downloading and preparing it from source\n"
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "705232f6dea14065ab6540da189e96b1",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Generating train split: 0 examples [00:00, ? examples/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "HF google storage unreachable. Downloading and preparing it from source\n"
+ ]
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "90e209addf0546a3a090f61f6ed937fc",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Generating train split: 0 examples [00:00, ? examples/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"from datasets import Dataset\n",
"train_ds = Dataset.from_json(\"../../data/bert+rb.annotations.train.jsonlines\")\n",
@@ -179,7 +222,36 @@
"start_time": "2024-06-27T14:46:13.689422Z"
}
},
- "outputs": [],
+ "outputs": [
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "f86b8d9a0ef344d59e975ecdb50ef8ce",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Map: 0%| | 0/159 [00:00<?, ? examples/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "data": {
+ "application/vnd.jupyter.widget-view+json": {
+ "model_id": "e7cf948385654343ab40efc7242378e9",
+ "version_major": 2,
+ "version_minor": 0
+ },
+ "text/plain": [
+ "Map: 0%| | 0/159 [00:00<?, ? examples/s]"
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ }
+ ],
"source": [
"tokenized_train_ds = train_ds.map(tokenize_and_adjust_labels, remove_columns=train_ds.column_names)\n",
"tokenized_val_ds = val_ds.map(tokenize_and_adjust_labels, remove_columns=val_ds.column_names)"
@@ -197,47 +269,56 @@
"text": [
"--------Token---------|--------Offset----------|--------Labels----------\n",
" <s> | [0, 0] | []\n",
- " Est | [0, 3] | ['action']\n",
- " puni | [4, 8] | ['action']\n",
- " des | [9, 12] | ['action']\n",
- " mêmes | [13, 18] | ['action']\n",
- " peines | [19, 25] | ['action']\n",
- " le | [26, 28] | []\n",
- " fait | [29, 33] | []\n",
- " de | [34, 36] | []\n",
- " tolérer | [37, 44] | []\n",
- " comme | [45, 50] | []\n",
- " propriétaire | [51, 63] | ['actor']\n",
- " ou | [64, 66] | ['actor']\n",
- " détenteur | [67, 76] | ['actor']\n",
- " la | [77, 79] | []\n",
- " mise | [80, 84] | []\n",
- " en | [85, 87] | []\n",
- " circulation | [88, 99] | []\n",
- " d | [100, 101] | []\n",
- " | [102, 103] | []\n",
- " ' | [102, 103] | []\n",
- " un | [104, 106] | []\n",
- " véhicule | [107, 115] | []\n",
- " sur | [116, 119] | ['location']\n",
- " les | [120, 123] | ['location']\n",
- " voies | [124, 129] | ['location']\n",
- " publiques | [130, 139] | ['location']\n",
- " par | [140, 143] | []\n",
- " une | [144, 147] | ['actor']\n",
- " personne | [148, 156] | ['actor']\n",
- " non | [157, 160] | ['condition']\n",
- " titulaire | [161, 170] | ['condition']\n",
- " d | [171, 172] | ['condition']\n",
- " | [173, 174] | ['condition']\n",
- " ' | [173, 174] | ['condition']\n",
- " un | [175, 177] | ['condition']\n",
- " permis | [178, 184] | ['condition']\n",
- " de | [185, 187] | ['condition']\n",
- " conduire | [188, 196] | ['condition']\n",
- " valable | [197, 204] | ['condition']\n",
- " | [205, 206] | []\n",
- " . | [205, 206] | []\n",
+ " afin | [0, 4] | ['condition']\n",
+ " de | [5, 7] | ['condition']\n",
+ " vérifier | [8, 16] | ['action', 'condition']\n",
+ " le | [17, 19] | ['action', 'condition']\n",
+ " kilométrage | [20, 31] | ['action', 'condition']\n",
+ " | [32, 33] | ['condition']\n",
+ " , | [32, 33] | ['condition']\n",
+ " pour | [34, 38] | ['condition']\n",
+ " les | [39, 42] | ['artifact', 'condition']\n",
+ " véhicules | [43, 52] | ['artifact', 'condition']\n",
+ " équipés | [53, 60] | ['artifact', 'condition']\n",
+ " d | [61, 62] | ['artifact', 'condition']\n",
+ " | [63, 64] | ['artifact', 'condition']\n",
+ " ' | [63, 64] | ['artifact', 'condition']\n",
+ " un | [65, 67] | ['artifact', 'condition']\n",
+ " compteur | [68, 76] | ['artifact', 'condition']\n",
+ " kilo | [77, 81] | ['artifact', 'condition']\n",
+ " métrique | [81, 89] | ['artifact', 'condition']\n",
+ " | [90, 91] | []\n",
+ " , | [90, 91] | []\n",
+ " les | [92, 95] | []\n",
+ " informations | [96, 108] | []\n",
+ " communiquées | [109, 121] | ['action', 'condition']\n",
+ " lors | [122, 126] | ['action', 'time']\n",
+ " du | [127, 129] | ['action', 'time']\n",
+ " précédent | [130, 139] | ['action', 'time']\n",
+ " contrôle | [140, 148] | ['action', 'reference', 'time']\n",
+ " technique | [149, 158] | ['action', 'reference', 'time']\n",
+ " sont | [159, 163] | ['action']\n",
+ " mises | [164, 169] | ['action']\n",
+ " à | [170, 171] | []\n",
+ " la | [172, 174] | []\n",
+ " disposition | [175, 186] | []\n",
+ " des | [187, 190] | ['actor']\n",
+ " organismes | [191, 201] | ['actor']\n",
+ " de | [202, 204] | ['actor']\n",
+ " contrôle | [205, 213] | ['actor', 'reference']\n",
+ " technique | [214, 223] | ['actor', 'reference']\n",
+ " dès | [224, 227] | []\n",
+ " qu | [228, 230] | []\n",
+ " | [231, 232] | []\n",
+ " ' | [231, 232] | []\n",
+ " elles | [233, 238] | ['action']\n",
+ " sont | [239, 243] | ['action']\n",
+ " disponibles | [244, 255] | []\n",
+ " par | [256, 259] | ['condition']\n",
+ " voie | [260, 264] | ['condition']\n",
+ " électronique | [265, 277] | ['condition']\n",
+ " | [278, 279] | []\n",
+ " . | [278, 279] | []\n",
" </s> | [0, 0] | []\n"
]
}
@@ -332,7 +413,22 @@
"execution_count": 11,
"id": "ea5d16f59728e2b9",
"metadata": {},
- "outputs": [],
+ "outputs": [
+ {
+ "name": "stderr",
+ "output_type": "stream",
+ "text": [
+ "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
+ "To disable this warning, you can either:\n",
+ "\t- Avoid using `tokenizers` before the fork if possible\n",
+ "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n",
+ "huggingface/tokenizers: The current process just got forked, after parallelism has already been used. Disabling parallelism to avoid deadlocks...\n",
+ "To disable this warning, you can either:\n",
+ "\t- Avoid using `tokenizers` before the fork if possible\n",
+ "\t- Explicitly set the environment variable TOKENIZERS_PARALLELISM=(true | false)\n"
+ ]
+ }
+ ],
"source": [
"from transformers import AutoModelForTokenClassification, TrainingArguments, Trainer, TrainerCallback\n",
"from transformers import RobertaPreTrainedModel, RobertaModel\n",
@@ -444,13 +540,13 @@
},
{
"cell_type": "code",
- "execution_count": 12,
+ "execution_count": 13,
"id": "79161ed938cad895",
"metadata": {},
"outputs": [],
"source": [
"training_args = TrainingArguments(\n",
- " #output_dir=\"./models/fine_tune_bert_output_span_cat\",\n",
+ " output_dir=\"./models/fine_tune_bert_output_span_cat\",\n",
" evaluation_strategy=\"epoch\",\n",
" learning_rate=2.5e-4,\n",
" per_device_train_batch_size=16,\n",
@@ -469,7 +565,7 @@
},
{
"cell_type": "code",
- "execution_count": 13,
+ "execution_count": 14,
"id": "931792b554582a9f",
"metadata": {},
"outputs": [
@@ -479,8 +575,8 @@
"\n",
" <div>\n",
" \n",
- " <progress value='1300' max='1300' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
- " [1300/1300 09:19, Epoch 100/100]\n",
+ " <progress value='1000' max='1000' style='width:300px; height:20px; vertical-align: middle;'></progress>\n",
+ " [1000/1000 08:00, Epoch 100/100]\n",
" </div>\n",
" <table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
@@ -519,7 +615,7 @@
" <tr>\n",
" <td>1</td>\n",
" <td>No log</td>\n",
- " <td>0.356145</td>\n",
+ " <td>0.376089</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -549,7 +645,7 @@
" <tr>\n",
" <td>2</td>\n",
" <td>No log</td>\n",
- " <td>0.279355</td>\n",
+ " <td>0.314260</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -579,7 +675,7 @@
" <tr>\n",
" <td>3</td>\n",
" <td>No log</td>\n",
- " <td>0.221275</td>\n",
+ " <td>0.261593</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -609,7 +705,7 @@
" <tr>\n",
" <td>4</td>\n",
" <td>No log</td>\n",
- " <td>0.178497</td>\n",
+ " <td>0.218287</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -639,7 +735,7 @@
" <tr>\n",
" <td>5</td>\n",
" <td>No log</td>\n",
- " <td>0.149304</td>\n",
+ " <td>0.182440</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -669,7 +765,7 @@
" <tr>\n",
" <td>6</td>\n",
" <td>No log</td>\n",
- " <td>0.127901</td>\n",
+ " <td>0.157193</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -699,7 +795,7 @@
" <tr>\n",
" <td>7</td>\n",
" <td>No log</td>\n",
- " <td>0.114968</td>\n",
+ " <td>0.137804</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -728,8 +824,8 @@
" </tr>\n",
" <tr>\n",
" <td>8</td>\n",
- " <td>0.213000</td>\n",
- " <td>0.102522</td>\n",
+ " <td>No log</td>\n",
+ " <td>0.123708</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -758,8 +854,11 @@
" </tr>\n",
" <tr>\n",
" <td>9</td>\n",
- " <td>0.213000</td>\n",
- " <td>0.097100</td>\n",
+ " <td>No log</td>\n",
+ " <td>0.109914</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -769,9 +868,6 @@
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.100648</td>\n",
- " <td>0.732010</td>\n",
- " <td>0.176965</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -784,24 +880,24 @@
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.022121</td>\n",
+ " <td>0.000000</td>\n",
" </tr>\n",
" <tr>\n",
" <td>10</td>\n",
- " <td>0.213000</td>\n",
- " <td>0.090857</td>\n",
- " <td>0.211549</td>\n",
- " <td>0.961814</td>\n",
- " <td>0.346816</td>\n",
+ " <td>0.219500</td>\n",
+ " <td>0.101260</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.878540</td>\n",
- " <td>0.699728</td>\n",
- " <td>0.779005</td>\n",
+ " <td>0.746844</td>\n",
+ " <td>0.584825</td>\n",
+ " <td>0.655978</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -814,27 +910,24 @@
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.140728</td>\n",
+ " <td>0.081997</td>\n",
" </tr>\n",
" <tr>\n",
" <td>11</td>\n",
- " <td>0.213000</td>\n",
- " <td>0.086320</td>\n",
- " <td>0.086089</td>\n",
- " <td>0.945245</td>\n",
- " <td>0.157806</td>\n",
+ " <td>0.219500</td>\n",
+ " <td>0.094583</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.804845</td>\n",
- " <td>0.739962</td>\n",
- " <td>0.771041</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
+ " <td>0.601842</td>\n",
+ " <td>0.613139</td>\n",
+ " <td>0.607438</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -844,24 +937,27 @@
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.116106</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.075930</td>\n",
" </tr>\n",
" <tr>\n",
" <td>12</td>\n",
- " <td>0.213000</td>\n",
- " <td>0.083295</td>\n",
- " <td>0.252756</td>\n",
- " <td>0.940430</td>\n",
- " <td>0.398428</td>\n",
+ " <td>0.219500</td>\n",
+ " <td>0.089450</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.806892</td>\n",
- " <td>0.700533</td>\n",
- " <td>0.749960</td>\n",
+ " <td>0.011470</td>\n",
+ " <td>0.511628</td>\n",
+ " <td>0.022438</td>\n",
+ " <td>0.546912</td>\n",
+ " <td>0.659399</td>\n",
+ " <td>0.597911</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -874,24 +970,24 @@
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.143549</td>\n",
+ " <td>0.077544</td>\n",
" </tr>\n",
" <tr>\n",
" <td>13</td>\n",
- " <td>0.213000</td>\n",
- " <td>0.082080</td>\n",
- " <td>0.211286</td>\n",
- " <td>0.971049</td>\n",
- " <td>0.347058</td>\n",
- " <td>0.000000</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
+ " <td>0.219500</td>\n",
+ " <td>0.086084</td>\n",
+ " <td>0.064567</td>\n",
+ " <td>0.611940</td>\n",
+ " <td>0.116809</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.853975</td>\n",
- " <td>0.716781</td>\n",
- " <td>0.779387</td>\n",
+ " <td>0.406674</td>\n",
+ " <td>0.428571</td>\n",
+ " <td>0.417335</td>\n",
+ " <td>0.581030</td>\n",
+ " <td>0.671795</td>\n",
+ " <td>0.623125</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -904,24 +1000,24 @@
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.140806</td>\n",
+ " <td>0.144659</td>\n",
" </tr>\n",
" <tr>\n",
" <td>14</td>\n",
- " <td>0.213000</td>\n",
- " <td>0.079545</td>\n",
- " <td>0.279265</td>\n",
- " <td>0.956835</td>\n",
- " <td>0.432345</td>\n",
+ " <td>0.219500</td>\n",
+ " <td>0.083085</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.808939</td>\n",
- " <td>0.768060</td>\n",
- " <td>0.787969</td>\n",
+ " <td>0.170490</td>\n",
+ " <td>0.436000</td>\n",
+ " <td>0.245127</td>\n",
+ " <td>0.496759</td>\n",
+ " <td>0.753233</td>\n",
+ " <td>0.598684</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -934,24 +1030,24 @@
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.152539</td>\n",
+ " <td>0.105476</td>\n",
" </tr>\n",
" <tr>\n",
" <td>15</td>\n",
- " <td>0.213000</td>\n",
- " <td>0.076363</td>\n",
- " <td>0.229921</td>\n",
- " <td>0.961581</td>\n",
- " <td>0.371108</td>\n",
- " <td>0.000000</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
+ " <td>0.219500</td>\n",
+ " <td>0.081525</td>\n",
+ " <td>0.367192</td>\n",
+ " <td>0.635043</td>\n",
+ " <td>0.465325</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.840669</td>\n",
- " <td>0.729858</td>\n",
- " <td>0.781354</td>\n",
+ " <td>0.599583</td>\n",
+ " <td>0.419249</td>\n",
+ " <td>0.493456</td>\n",
+ " <td>0.768680</td>\n",
+ " <td>0.668348</td>\n",
+ " <td>0.715011</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -964,24 +1060,24 @@
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.144058</td>\n",
+ " <td>0.209224</td>\n",
" </tr>\n",
" <tr>\n",
" <td>16</td>\n",
- " <td>0.066000</td>\n",
- " <td>0.075020</td>\n",
- " <td>0.395538</td>\n",
- " <td>0.926814</td>\n",
- " <td>0.554452</td>\n",
- " <td>0.000000</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
+ " <td>0.219500</td>\n",
+ " <td>0.080314</td>\n",
+ " <td>0.146457</td>\n",
+ " <td>0.680488</td>\n",
+ " <td>0.241037</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.780621</td>\n",
- " <td>0.739974</td>\n",
- " <td>0.759754</td>\n",
+ " <td>0.328467</td>\n",
+ " <td>0.417772</td>\n",
+ " <td>0.367776</td>\n",
+ " <td>0.545889</td>\n",
+ " <td>0.711111</td>\n",
+ " <td>0.617641</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -994,24 +1090,27 @@
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.164276</td>\n",
+ " <td>0.153307</td>\n",
" </tr>\n",
" <tr>\n",
" <td>17</td>\n",
- " <td>0.066000</td>\n",
- " <td>0.076133</td>\n",
- " <td>0.360367</td>\n",
- " <td>0.925202</td>\n",
- " <td>0.518700</td>\n",
+ " <td>0.219500</td>\n",
+ " <td>0.077264</td>\n",
+ " <td>0.242520</td>\n",
+ " <td>0.683432</td>\n",
+ " <td>0.358001</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
+ " <td>0.448905</td>\n",
+ " <td>0.410195</td>\n",
+ " <td>0.428678</td>\n",
+ " <td>0.644490</td>\n",
+ " <td>0.688160</td>\n",
+ " <td>0.665610</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.853292</td>\n",
- " <td>0.724088</td>\n",
- " <td>0.783399</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
@@ -1021,2500 +1120,2497 @@
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.000000</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0.162762</td>\n",
+ " <td>0.181536</td>\n",
" </tr>\n",
" <tr>\n",
" <td>18</td>\n",
- " <td>0.066000</td>\n",
- " <td>0.072838</td>\n",
- " <td>0.371916</td>\n",
- " <td>0.929790</td>\n",
- " <td>0.531309</td>\n",
- " <td>0.113429</td>\n",
- " <td>0.750000</td>\n",
- " <td>0.197055</td>\n",
+ " <td>0.219500</td>\n",
+ " <td>0.076721</td>\n",
+ " <td>0.182415</td>\n",
+ " <td>0.672798</td>\n",
+ " <td>0.287012</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.903446</td>\n",
- " <td>0.696659</td>\n",
- " <td>0.786690</td>\n",
+ " <td>0.372263</td>\n",
+ " <td>0.413434</td>\n",
+ " <td>0.391770</td>\n",
+ " <td>0.638349</td>\n",
+ " <td>0.710596</td>\n",
+ " <td>0.672538</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.376667</td>\n",
- " <td>0.953586</td>\n",
- " <td>0.540024</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.256885</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.168915</td>\n",
" </tr>\n",
" <tr>\n",
" <td>19</td>\n",
- " <td>0.066000</td>\n",
- " <td>0.075695</td>\n",
- " <td>0.292388</td>\n",
- " <td>0.934564</td>\n",
- " <td>0.445422</td>\n",
- " <td>0.018253</td>\n",
- " <td>1.000000</td>\n",
- " <td>0.035851</td>\n",
+ " <td>0.219500</td>\n",
+ " <td>0.076433</td>\n",
+ " <td>0.162992</td>\n",
+ " <td>0.679431</td>\n",
+ " <td>0.262913</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.741726</td>\n",
- " <td>0.725150</td>\n",
- " <td>0.733345</td>\n",
+ " <td>0.328467</td>\n",
+ " <td>0.431803</td>\n",
+ " <td>0.373112</td>\n",
+ " <td>0.570113</td>\n",
+ " <td>0.728422</td>\n",
+ " <td>0.639617</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.190000</td>\n",
- " <td>0.934426</td>\n",
- " <td>0.315789</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.191301</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.159455</td>\n",
" </tr>\n",
" <tr>\n",
" <td>20</td>\n",
- " <td>0.066000</td>\n",
- " <td>0.072801</td>\n",
- " <td>0.347244</td>\n",
- " <td>0.934322</td>\n",
- " <td>0.506315</td>\n",
- " <td>0.031291</td>\n",
- " <td>0.888889</td>\n",
- " <td>0.060453</td>\n",
+ " <td>0.073300</td>\n",
+ " <td>0.073838</td>\n",
+ " <td>0.244882</td>\n",
+ " <td>0.696269</td>\n",
+ " <td>0.362330</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.785739</td>\n",
- " <td>0.740514</td>\n",
- " <td>0.762457</td>\n",
+ " <td>0.384254</td>\n",
+ " <td>0.441053</td>\n",
+ " <td>0.410699</td>\n",
+ " <td>0.576595</td>\n",
+ " <td>0.696907</td>\n",
+ " <td>0.631068</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.446667</td>\n",
- " <td>0.917808</td>\n",
- " <td>0.600897</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.241265</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <td>21</td>\n",
- " <td>0.066000</td>\n",
- " <td>0.072491</td>\n",
- " <td>0.309974</td>\n",
- " <td>0.944800</td>\n",
- " <td>0.466798</td>\n",
- " <td>0.156454</td>\n",
- " <td>0.845070</td>\n",
- " <td>0.264026</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.834869</td>\n",
- " <td>0.731540</td>\n",
- " <td>0.779796</td>\n",
+ " <td>0.175512</td>\n",
+ " </tr>\n",
+ " <tr>\n",
+ " <td>21</td>\n",
+ " <td>0.073300</td>\n",
+ " <td>0.074023</td>\n",
+ " <td>0.294226</td>\n",
+ " <td>0.720900</td>\n",
+ " <td>0.417894</td>\n",
+ " <td>0.074316</td>\n",
+ " <td>0.826087</td>\n",
+ " <td>0.136364</td>\n",
+ " <td>0.537018</td>\n",
+ " <td>0.432410</td>\n",
+ " <td>0.479070</td>\n",
+ " <td>0.740020</td>\n",
+ " <td>0.649596</td>\n",
+ " <td>0.691866</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.425000</td>\n",
- " <td>0.930657</td>\n",
- " <td>0.583524</td>\n",
+ " <td>0.016667</td>\n",
+ " <td>0.500000</td>\n",
+ " <td>0.032258</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.261768</td>\n",
+ " <td>0.219681</td>\n",
" </tr>\n",
" <tr>\n",
" <td>22</td>\n",
- " <td>0.066000</td>\n",
- " <td>0.068607</td>\n",
- " <td>0.371654</td>\n",
- " <td>0.930966</td>\n",
- " <td>0.531232</td>\n",
- " <td>0.299870</td>\n",
- " <td>0.827338</td>\n",
- " <td>0.440191</td>\n",
- " <td>0.017727</td>\n",
- " <td>0.693878</td>\n",
- " <td>0.034570</td>\n",
- " <td>0.829751</td>\n",
- " <td>0.748308</td>\n",
- " <td>0.786928</td>\n",
+ " <td>0.073300</td>\n",
+ " <td>0.075232</td>\n",
+ " <td>0.261155</td>\n",
+ " <td>0.740879</td>\n",
+ " <td>0.386183</td>\n",
+ " <td>0.082138</td>\n",
+ " <td>0.636364</td>\n",
+ " <td>0.145497</td>\n",
+ " <td>0.398332</td>\n",
+ " <td>0.445481</td>\n",
+ " <td>0.420589</td>\n",
+ " <td>0.565336</td>\n",
+ " <td>0.707817</td>\n",
+ " <td>0.628604</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.603333</td>\n",
- " <td>0.853774</td>\n",
- " <td>0.707031</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.312494</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.197609</td>\n",
" </tr>\n",
" <tr>\n",
" <td>23</td>\n",
- " <td>0.066000</td>\n",
- " <td>0.067250</td>\n",
- " <td>0.345144</td>\n",
- " <td>0.931963</td>\n",
- " <td>0.503735</td>\n",
- " <td>0.045632</td>\n",
- " <td>0.813953</td>\n",
- " <td>0.086420</td>\n",
- " <td>0.000521</td>\n",
- " <td>1.000000</td>\n",
- " <td>0.001042</td>\n",
- " <td>0.891505</td>\n",
- " <td>0.721026</td>\n",
- " <td>0.797254</td>\n",
+ " <td>0.073300</td>\n",
+ " <td>0.072111</td>\n",
+ " <td>0.259055</td>\n",
+ " <td>0.766900</td>\n",
+ " <td>0.387287</td>\n",
+ " <td>0.571056</td>\n",
+ " <td>0.662632</td>\n",
+ " <td>0.613445</td>\n",
+ " <td>0.430657</td>\n",
+ " <td>0.456858</td>\n",
+ " <td>0.443371</td>\n",
+ " <td>0.707267</td>\n",
+ " <td>0.665703</td>\n",
+ " <td>0.685856</td>\n",
" <td>0.000000</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.630000</td>\n",
- " <td>0.821739</td>\n",
- " <td>0.713208</td>\n",
- " <td>0.119444</td>\n",
- " <td>0.811321</td>\n",
- " <td>0.208232</td>\n",
- " <td>0.288736</td>\n",
+ " <td>0.003333</td>\n",
+ " <td>0.666667</td>\n",
+ " <td>0.006633</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.267074</td>\n",
" </tr>\n",
" <tr>\n",
" <td>24</td>\n",
- " <td>0.039600</td>\n",
- " <td>0.069559</td>\n",
- " <td>0.358793</td>\n",
- " <td>0.931834</td>\n",
- " <td>0.518097</td>\n",
- " <td>0.320730</td>\n",
- " <td>0.857143</td>\n",
- " <td>0.466793</td>\n",
- " <td>0.024505</td>\n",
- " <td>0.618421</td>\n",
- " <td>0.047141</td>\n",
- " <td>0.849198</td>\n",
- " <td>0.734652</td>\n",
- " <td>0.787783</td>\n",
+ " <td>0.073300</td>\n",
+ " <td>0.072799</td>\n",
+ " <td>0.279265</td>\n",
+ " <td>0.789318</td>\n",
+ " <td>0.412563</td>\n",
+ " <td>0.524120</td>\n",
+ " <td>0.616564</td>\n",
+ " <td>0.566596</td>\n",
+ " <td>0.349844</td>\n",
+ " <td>0.452156</td>\n",
+ " <td>0.394474</td>\n",
+ " <td>0.522689</td>\n",
+ " <td>0.721281</td>\n",
+ " <td>0.606133</td>\n",
" <td>0.000000</td>\n",
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" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.465000</td>\n",
- " <td>0.880126</td>\n",
- " <td>0.608506</td>\n",
- " <td>0.113889</td>\n",
- " <td>1.000000</td>\n",
- " <td>0.204489</td>\n",
- " <td>0.329101</td>\n",
+ " <td>0.056667</td>\n",
+ " <td>0.346939</td>\n",
+ " <td>0.097421</td>\n",
+ " <td>0.009722</td>\n",
+ " <td>0.875000</td>\n",
+ " <td>0.019231</td>\n",
+ " <td>0.262052</td>\n",
" </tr>\n",
" <tr>\n",
" <td>25</td>\n",
- " <td>0.039600</td>\n",
- " <td>0.068075</td>\n",
- " <td>0.327559</td>\n",
- " <td>0.946889</td>\n",
- " <td>0.486739</td>\n",
- " <td>0.342894</td>\n",
- " <td>0.903780</td>\n",
- " <td>0.497164</td>\n",
- " <td>0.032325</td>\n",
- " <td>0.584906</td>\n",
- " <td>0.061265</td>\n",
- " <td>0.777209</td>\n",
- " <td>0.771942</td>\n",
- " <td>0.774566</td>\n",
+ " <td>0.073300</td>\n",
+ " <td>0.071249</td>\n",
+ " <td>0.321260</td>\n",
+ " <td>0.775665</td>\n",
+ " <td>0.454343</td>\n",
+ " <td>0.689700</td>\n",
+ " <td>0.633533</td>\n",
+ " <td>0.660424</td>\n",
+ " <td>0.508863</td>\n",
+ " <td>0.475402</td>\n",
+ " <td>0.491564</td>\n",
+ " <td>0.625725</td>\n",
+ " <td>0.731844</td>\n",
+ " <td>0.674637</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.611667</td>\n",
- " <td>0.924433</td>\n",
- " <td>0.736209</td>\n",
- " <td>0.390278</td>\n",
- " <td>0.962329</td>\n",
- " <td>0.555336</td>\n",
- " <td>0.388910</td>\n",
+ " <td>0.008333</td>\n",
+ " <td>1.000000</td>\n",
+ " <td>0.016529</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.287187</td>\n",
" </tr>\n",
" <tr>\n",
" <td>26</td>\n",
- " <td>0.039600</td>\n",
- " <td>0.065591</td>\n",
- " <td>0.366404</td>\n",
- " <td>0.933779</td>\n",
- " <td>0.526296</td>\n",
- " <td>0.389831</td>\n",
- " <td>0.876833</td>\n",
- " <td>0.539711</td>\n",
- " <td>0.103754</td>\n",
- " <td>0.583578</td>\n",
- " <td>0.176184</td>\n",
- " <td>0.820539</td>\n",
- " <td>0.786205</td>\n",
- " <td>0.803005</td>\n",
+ " <td>0.073300</td>\n",
+ " <td>0.069421</td>\n",
+ " <td>0.324672</td>\n",
+ " <td>0.784898</td>\n",
+ " <td>0.459339</td>\n",
+ " <td>0.715776</td>\n",
+ " <td>0.550100</td>\n",
+ " <td>0.622096</td>\n",
+ " <td>0.505214</td>\n",
+ " <td>0.478755</td>\n",
+ " <td>0.491629</td>\n",
+ " <td>0.676561</td>\n",
+ " <td>0.716143</td>\n",
+ " <td>0.695789</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.636667</td>\n",
- " <td>0.892523</td>\n",
- " <td>0.743191</td>\n",
- " <td>0.376389</td>\n",
- " <td>0.944251</td>\n",
- " <td>0.538232</td>\n",
- " <td>0.415827</td>\n",
+ " <td>0.140000</td>\n",
+ " <td>0.750000</td>\n",
+ " <td>0.235955</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.313101</td>\n",
" </tr>\n",
" <tr>\n",
" <td>27</td>\n",
- " <td>0.039600</td>\n",
- " <td>0.073091</td>\n",
- " <td>0.295538</td>\n",
- " <td>0.947014</td>\n",
- " <td>0.450490</td>\n",
- " <td>0.289439</td>\n",
- " <td>0.906122</td>\n",
- " <td>0.438735</td>\n",
- " <td>0.010949</td>\n",
- " <td>0.724138</td>\n",
- " <td>0.021572</td>\n",
- " <td>0.717844</td>\n",
- " <td>0.830964</td>\n",
- " <td>0.770273</td>\n",
+ " <td>0.073300</td>\n",
+ " <td>0.071551</td>\n",
+ " <td>0.371916</td>\n",
+ " <td>0.769690</td>\n",
+ " <td>0.501504</td>\n",
+ " <td>0.794003</td>\n",
+ " <td>0.539415</td>\n",
+ " <td>0.642405</td>\n",
+ " <td>0.609489</td>\n",
+ " <td>0.494920</td>\n",
+ " <td>0.546262</td>\n",
+ " <td>0.678608</td>\n",
+ " <td>0.722485</td>\n",
+ " <td>0.699859</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.446667</td>\n",
- " <td>0.917808</td>\n",
- " <td>0.600897</td>\n",
- " <td>0.137500</td>\n",
- " <td>0.798387</td>\n",
- " <td>0.234597</td>\n",
- " <td>0.314570</td>\n",
+ " <td>0.171667</td>\n",
+ " <td>0.628049</td>\n",
+ " <td>0.269634</td>\n",
+ " <td>0.109722</td>\n",
+ " <td>1.000000</td>\n",
+ " <td>0.197747</td>\n",
+ " <td>0.357176</td>\n",
" </tr>\n",
" <tr>\n",
" <td>28</td>\n",
- " <td>0.039600</td>\n",
- " <td>0.067930</td>\n",
- " <td>0.333071</td>\n",
- " <td>0.941395</td>\n",
- " <td>0.492051</td>\n",
- " <td>0.365059</td>\n",
- " <td>0.840841</td>\n",
- " <td>0.509091</td>\n",
- " <td>0.058916</td>\n",
- " <td>0.576531</td>\n",
- " <td>0.106906</td>\n",
- " <td>0.842375</td>\n",
- " <td>0.768680</td>\n",
- " <td>0.803842</td>\n",
+ " <td>0.073300</td>\n",
+ " <td>0.071422</td>\n",
+ " <td>0.335433</td>\n",
+ " <td>0.797753</td>\n",
+ " <td>0.472284</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.529055</td>\n",
+ " <td>0.635417</td>\n",
+ " <td>0.567779</td>\n",
+ " <td>0.549722</td>\n",
+ " <td>0.558605</td>\n",
+ " <td>0.665984</td>\n",
+ " <td>0.717120</td>\n",
+ " <td>0.690607</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.545000</td>\n",
- " <td>0.886179</td>\n",
- " <td>0.674923</td>\n",
- " <td>0.601389</td>\n",
- " <td>0.835907</td>\n",
- " <td>0.699515</td>\n",
- " <td>0.410791</td>\n",
+ " <td>0.463333</td>\n",
+ " <td>0.691542</td>\n",
+ " <td>0.554890</td>\n",
+ " <td>0.595833</td>\n",
+ " <td>0.777174</td>\n",
+ " <td>0.674528</td>\n",
+ " <td>0.448291</td>\n",
" </tr>\n",
" <tr>\n",
" <td>29</td>\n",
- " <td>0.039600</td>\n",
- " <td>0.064891</td>\n",
- " <td>0.356693</td>\n",
- " <td>0.939185</td>\n",
- " <td>0.517025</td>\n",
- " <td>0.458931</td>\n",
- " <td>0.836105</td>\n",
- " <td>0.592593</td>\n",
- " <td>0.015641</td>\n",
- " <td>0.500000</td>\n",
- " <td>0.030334</td>\n",
- " <td>0.851245</td>\n",
- " <td>0.791310</td>\n",
- " <td>0.820184</td>\n",
+ " <td>0.073300</td>\n",
+ " <td>0.070572</td>\n",
+ " <td>0.336483</td>\n",
+ " <td>0.779805</td>\n",
+ " <td>0.470114</td>\n",
+ " <td>0.757497</td>\n",
+ " <td>0.522013</td>\n",
+ " <td>0.618085</td>\n",
+ " <td>0.590719</td>\n",
+ " <td>0.519963</td>\n",
+ " <td>0.553088</td>\n",
+ " <td>0.675879</td>\n",
+ " <td>0.736431</td>\n",
+ " <td>0.704857</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
" <td>0.000000</td>\n",
" <td>0</td>\n",
" <td>0</td>\n",
- " <td>0.006711</td>\n",
+ " <td>0.473333</td>\n",
+ " <td>0.827988</td>\n",
+ " <td>0.602333</td>\n",
+ " <td>0.050000</td>\n",
" <td>1.000000</td>\n",
- " <td>0.013333</td>\n",
- " <td>0.586667</td>\n",
- " <td>0.911917</td>\n",
- " <td>0.713996</td>\n",
- " <td>0.581944</td>\n",
- " <td>0.833002</td>\n",
- " <td>0.685200</td>\n",
- " <td>0.421583</td>\n",
+ " <td>0.095238</td>\n",
+ " <td>0.380464</td>\n",
" </tr>\n",
" <tr>\n",
" <td>30</td>\n",
- " <td>0.039600</td>\n",
- " <td>0.063571</td>\n",
- " <td>0.398950</td>\n",
- " <td>0.929664</td>\n",
- " <td>0.558310</td>\n",
- " <td>0.434159</td>\n",
- " <td>0.856041</td>\n",
- " <td>0.576125</td>\n",
- " <td>0.078728</td>\n",
- " <td>0.653680</td>\n",
- " <td>0.140530</td>\n",
- " <td>0.801774</td>\n",
- " <td>0.804244</td>\n",
- " <td>0.803007</td>\n",
- " <td>0.000000</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0.120805</td>\n",
- " <td>1.000000</td>\n",
- " <td>0.215569</td>\n",
- " <td>0.626667</td>\n",
- " <td>0.856492</td>\n",
- " <td>0.723773</td>\n",
- " <td>0.562500</td>\n",
- " <td>0.816532</td>\n",
- " <td>0.666118</td>\n",
- " <td>0.460429</td>\n",
+ " <td>0.043800</td>\n",
+ " <td>0.070337</td>\n",
+ " <td>0.333333</td>\n",
+ " <td>0.777710</td>\n",
+ " <td>0.466654</td>\n",
+ " <td>0.790091</td>\n",
+ " <td>0.527415</td>\n",
+ " <td>0.632568</td>\n",
+ " <td>0.567258</td>\n",
+ " <td>0.534644</td>\n",
+ " <td>0.550468</td>\n",
+ " <td>0.680655</td>\n",
+ " <td>0.713775</td>\n",
+ " <td>0.696822</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.060403</td>\n",
+ " <td>0.900000</td>\n",
+ " <td>0.113208</td>\n",
+ " <td>0.460000</td>\n",
+ " <td>0.737968</td>\n",
+ " <td>0.566735</td>\n",
+ " <td>0.377778</td>\n",
+ " <td>0.931507</td>\n",
+ " <td>0.537549</td>\n",
+ " <td>0.445500</td>\n",
" </tr>\n",
" <tr>\n",
" <td>31</td>\n",
- " <td>0.025000</td>\n",
- " <td>0.064738</td>\n",
- " <td>0.365879</td>\n",
- " <td>0.934943</td>\n",
- " <td>0.525939</td>\n",
- " <td>0.451108</td>\n",
- " <td>0.850123</td>\n",
- " <td>0.589438</td>\n",
- " <td>0.098540</td>\n",
- " <td>0.682310</td>\n",
- " <td>0.172210</td>\n",
- " <td>0.834869</td>\n",
- " <td>0.803085</td>\n",
- " <td>0.818668</td>\n",
- " <td>0.000000</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0.322148</td>\n",
- " <td>0.960000</td>\n",
- " <td>0.482412</td>\n",
- " <td>0.603333</td>\n",
- " <td>0.889435</td>\n",
- " <td>0.718967</td>\n",
- " <td>0.643056</td>\n",
- " <td>0.774247</td>\n",
- " <td>0.702580</td>\n",
- " <td>0.501277</td>\n",
+ " <td>0.043800</td>\n",
+ " <td>0.069928</td>\n",
+ " <td>0.328609</td>\n",
+ " <td>0.778123</td>\n",
+ " <td>0.462078</td>\n",
+ " <td>0.769231</td>\n",
+ " <td>0.530099</td>\n",
+ " <td>0.627660</td>\n",
+ " <td>0.571950</td>\n",
+ " <td>0.538802</td>\n",
+ " <td>0.554881</td>\n",
+ " <td>0.685773</td>\n",
+ " <td>0.718370</td>\n",
+ " <td>0.701693</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.261745</td>\n",
+ " <td>0.684211</td>\n",
+ " <td>0.378641</td>\n",
+ " <td>0.496667</td>\n",
+ " <td>0.754430</td>\n",
+ " <td>0.598995</td>\n",
+ " <td>0.519444</td>\n",
+ " <td>0.905569</td>\n",
+ " <td>0.660194</td>\n",
+ " <td>0.498018</td>\n",
" </tr>\n",
" <tr>\n",
" <td>32</td>\n",
- " <td>0.025000</td>\n",
- " <td>0.065563</td>\n",
- " <td>0.390289</td>\n",
- " <td>0.929956</td>\n",
- " <td>0.549824</td>\n",
- " <td>0.499348</td>\n",
- " <td>0.878440</td>\n",
- " <td>0.636741</td>\n",
- " <td>0.048488</td>\n",
- " <td>0.837838</td>\n",
- " <td>0.091671</td>\n",
- " <td>0.785739</td>\n",
- " <td>0.828119</td>\n",
- " <td>0.806373</td>\n",
- " <td>0.000000</td>\n",
- " <td>0</td>\n",
- " <td>0</td>\n",
- " <td>0.382550</td>\n",
- " <td>0.966102</td>\n",
- " <td>0.548077</td>\n",
- " <td>0.556667</td>\n",
- " <td>0.897849</td>\n",
- " <td>0.687243</td>\n",
- " <td>0.583333</td>\n",
- " <td>0.804598</td>\n",
- " <td>0.676329</td>\n",
- " <td>0.499532</td>\n",
+ " <td>0.043800</td>\n",
+ " <td>0.068045</td>\n",
+ " <td>0.359843</td>\n",
+ " <td>0.780752</td>\n",
+ " <td>0.492634</td>\n",
+ " <td>0.777053</td>\n",
+ " <td>0.534529</td>\n",
+ " <td>0.633369</td>\n",
+ " <td>0.557873</td>\n",
+ " <td>0.543423</td>\n",
+ " <td>0.550553</td>\n",
+ " <td>0.671784</td>\n",
+ " <td>0.731426</td>\n",
+ " <td>0.700338</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.557047</td>\n",
+ " <td>0.873684</td>\n",
+ " <td>0.680328</td>\n",
+ " <td>0.633333</td>\n",
+ " <td>0.755467</td>\n",
+ " <td>0.689030</td>\n",
+ " <td>0.451389</td>\n",
+ " <td>0.855263</td>\n",
+ " <td>0.590909</td>\n",
+ " <td>0.542145</td>\n",
" </tr>\n",
" <tr>\n",
" <td>33</td>\n",
- " <td>0.025000</td>\n",
- " <td>0.062232</td>\n",
- " <td>0.400525</td>\n",
- " <td>0.924288</td>\n",
- " <td>0.558872</td>\n",
- " <td>0.584094</td>\n",
- " <td>0.843691</td>\n",
- " <td>0.690293</td>\n",
- " <td>0.070386</td>\n",
- " <td>0.870968</td>\n",
- " <td>0.130246</td>\n",
- " <td>0.822927</td>\n",
- " <td>0.824615</td>\n",
- " <td>0.823770</td>\n",
- " <td>0.086124</td>\n",
- " <td>0.720000</td>\n",
- " <td>0.153846</td>\n",
- " <td>0.395973</td>\n",
- " <td>0.967213</td>\n",
- " <td>0.561905</td>\n",
- " <td>0.638333</td>\n",
- " <td>0.892774</td>\n",
- " <td>0.744412</td>\n",
- " <td>0.623611</td>\n",
- " <td>0.850379</td>\n",
- " <td>0.719551</td>\n",
- " <td>0.547862</td>\n",
+ " <td>0.043800</td>\n",
+ " <td>0.070134</td>\n",
+ " <td>0.365092</td>\n",
+ " <td>0.778400</td>\n",
+ " <td>0.497052</td>\n",
+ " <td>0.777053</td>\n",
+ " <td>0.523266</td>\n",
+ " <td>0.625393</td>\n",
+ " <td>0.546403</td>\n",
+ " <td>0.536610</td>\n",
+ " <td>0.541462</td>\n",
+ " <td>0.673831</td>\n",
+ " <td>0.730670</td>\n",
+ " <td>0.701100</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.630872</td>\n",
+ " <td>0.752000</td>\n",
+ " <td>0.686131</td>\n",
+ " <td>0.393333</td>\n",
+ " <td>0.756410</td>\n",
+ " <td>0.517544</td>\n",
+ " <td>0.587500</td>\n",
+ " <td>0.865031</td>\n",
+ " <td>0.699752</td>\n",
+ " <td>0.533554</td>\n",
" </tr>\n",
" <tr>\n",
" <td>34</td>\n",
- " <td>0.025000</td>\n",
- " <td>0.063367</td>\n",
- " <td>0.382677</td>\n",
- " <td>0.929254</td>\n",
- " <td>0.542108</td>\n",
- " <td>0.610169</td>\n",
- " <td>0.808290</td>\n",
- " <td>0.695394</td>\n",
- " <td>0.097497</td>\n",
- " <td>0.682482</td>\n",
- " <td>0.170620</td>\n",
- " <td>0.847834</td>\n",
- " <td>0.809710</td>\n",
- " <td>0.828333</td>\n",
- " <td>0.153110</td>\n",
- " <td>0.744186</td>\n",
- " <td>0.253968</td>\n",
- " <td>0.422819</td>\n",
- " <td>0.940299</td>\n",
- " <td>0.583333</td>\n",
- " <td>0.620000</td>\n",
- " <td>0.900726</td>\n",
- " <td>0.734452</td>\n",
- " <td>0.636111</td>\n",
- " <td>0.865784</td>\n",
- " <td>0.733387</td>\n",
- " <td>0.567700</td>\n",
+ " <td>0.043800</td>\n",
+ " <td>0.070325</td>\n",
+ " <td>0.362992</td>\n",
+ " <td>0.783126</td>\n",
+ " <td>0.496055</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.528139</td>\n",
+ " <td>0.634755</td>\n",
+ " <td>0.574557</td>\n",
+ " <td>0.539667</td>\n",
+ " <td>0.556566</td>\n",
+ " <td>0.684067</td>\n",
+ " <td>0.718638</td>\n",
+ " <td>0.700926</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.657718</td>\n",
+ " <td>0.715328</td>\n",
+ " <td>0.685315</td>\n",
+ " <td>0.623333</td>\n",
+ " <td>0.752515</td>\n",
+ " <td>0.681860</td>\n",
+ " <td>0.576389</td>\n",
+ " <td>0.785985</td>\n",
+ " <td>0.665064</td>\n",
+ " <td>0.552568</td>\n",
" </tr>\n",
" <tr>\n",
" <td>35</td>\n",
- " <td>0.025000</td>\n",
- " <td>0.061890</td>\n",
- " <td>0.403675</td>\n",
- " <td>0.927624</td>\n",
- " <td>0.562546</td>\n",
- " <td>0.603651</td>\n",
- " <td>0.855823</td>\n",
- " <td>0.707951</td>\n",
- " <td>0.095933</td>\n",
- " <td>0.673993</td>\n",
- " <td>0.167960</td>\n",
- " <td>0.810304</td>\n",
- " <td>0.833333</td>\n",
- " <td>0.821657</td>\n",
- " <td>0.358852</td>\n",
- " <td>0.728155</td>\n",
- " <td>0.480769</td>\n",
- " <td>0.416107</td>\n",
- " <td>0.925373</td>\n",
- " <td>0.574074</td>\n",
- " <td>0.638333</td>\n",
- " <td>0.858744</td>\n",
- " <td>0.732314</td>\n",
- " <td>0.658333</td>\n",
- " <td>0.835979</td>\n",
- " <td>0.736597</td>\n",
- " <td>0.597983</td>\n",
+ " <td>0.043800</td>\n",
+ " <td>0.070205</td>\n",
+ " <td>0.362992</td>\n",
+ " <td>0.781356</td>\n",
+ " <td>0.495699</td>\n",
+ " <td>0.784876</td>\n",
+ " <td>0.521664</td>\n",
+ " <td>0.626757</td>\n",
+ " <td>0.574035</td>\n",
+ " <td>0.534466</td>\n",
+ " <td>0.553544</td>\n",
+ " <td>0.683385</td>\n",
+ " <td>0.722844</td>\n",
+ " <td>0.702561</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.671141</td>\n",
+ " <td>0.719424</td>\n",
+ " <td>0.694444</td>\n",
+ " <td>0.570000</td>\n",
+ " <td>0.748359</td>\n",
+ " <td>0.647114</td>\n",
+ " <td>0.597222</td>\n",
+ " <td>0.811321</td>\n",
+ " <td>0.688000</td>\n",
+ " <td>0.551015</td>\n",
" </tr>\n",
" <tr>\n",
" <td>36</td>\n",
- " <td>0.025000</td>\n",
- " <td>0.060461</td>\n",
- " <td>0.434908</td>\n",
- " <td>0.916989</td>\n",
- " <td>0.589995</td>\n",
- " <td>0.559322</td>\n",
- " <td>0.877301</td>\n",
- " <td>0.683121</td>\n",
- " <td>0.165798</td>\n",
- " <td>0.634731</td>\n",
- " <td>0.262919</td>\n",
- " <td>0.818833</td>\n",
- " <td>0.825593</td>\n",
- " <td>0.822199</td>\n",
- " <td>0.382775</td>\n",
- " <td>0.800000</td>\n",
- " <td>0.517799</td>\n",
- " <td>0.422819</td>\n",
- " <td>0.926471</td>\n",
- " <td>0.580645</td>\n",
- " <td>0.643333</td>\n",
- " <td>0.861607</td>\n",
- " <td>0.736641</td>\n",
- " <td>0.662500</td>\n",
- " <td>0.851786</td>\n",
- " <td>0.745312</td>\n",
- " <td>0.617329</td>\n",
+ " <td>0.043800</td>\n",
+ " <td>0.070050</td>\n",
+ " <td>0.365092</td>\n",
+ " <td>0.782340</td>\n",
+ " <td>0.497853</td>\n",
+ " <td>0.783572</td>\n",
+ " <td>0.526270</td>\n",
+ " <td>0.629649</td>\n",
+ " <td>0.573514</td>\n",
+ " <td>0.535019</td>\n",
+ " <td>0.553598</td>\n",
+ " <td>0.687479</td>\n",
+ " <td>0.718360</td>\n",
+ " <td>0.702580</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.691275</td>\n",
+ " <td>0.668831</td>\n",
+ " <td>0.679868</td>\n",
+ " <td>0.595000</td>\n",
+ " <td>0.759574</td>\n",
+ " <td>0.667290</td>\n",
+ " <td>0.319444</td>\n",
+ " <td>0.696970</td>\n",
+ " <td>0.438095</td>\n",
+ " <td>0.521117</td>\n",
" </tr>\n",
" <tr>\n",
" <td>37</td>\n",
- " <td>0.025000</td>\n",
- " <td>0.064956</td>\n",
- " <td>0.388451</td>\n",
- " <td>0.930233</td>\n",
- " <td>0.548047</td>\n",
- " <td>0.576271</td>\n",
- " <td>0.845124</td>\n",
- " <td>0.685271</td>\n",
- " <td>0.099583</td>\n",
- " <td>0.737452</td>\n",
- " <td>0.175471</td>\n",
- " <td>0.841351</td>\n",
- " <td>0.813861</td>\n",
- " <td>0.827378</td>\n",
- " <td>0.411483</td>\n",
- " <td>0.819048</td>\n",
- " <td>0.547771</td>\n",
- " <td>0.463087</td>\n",
- " <td>0.932432</td>\n",
- " <td>0.618834</td>\n",
- " <td>0.638333</td>\n",
- " <td>0.888631</td>\n",
- " <td>0.742968</td>\n",
- " <td>0.643056</td>\n",
- " <td>0.860595</td>\n",
- " <td>0.736089</td>\n",
- " <td>0.610229</td>\n",
+ " <td>0.043800</td>\n",
+ " <td>0.070539</td>\n",
+ " <td>0.359580</td>\n",
+ " <td>0.781517</td>\n",
+ " <td>0.492540</td>\n",
+ " <td>0.782269</td>\n",
+ " <td>0.522648</td>\n",
+ " <td>0.626632</td>\n",
+ " <td>0.574557</td>\n",
+ " <td>0.535992</td>\n",
+ " <td>0.554605</td>\n",
+ " <td>0.680996</td>\n",
+ " <td>0.723451</td>\n",
+ " <td>0.701582</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.711409</td>\n",
+ " <td>0.701987</td>\n",
+ " <td>0.706667</td>\n",
+ " <td>0.588333</td>\n",
+ " <td>0.762419</td>\n",
+ " <td>0.664158</td>\n",
+ " <td>0.568056</td>\n",
+ " <td>0.789575</td>\n",
+ " <td>0.660743</td>\n",
+ " <td>0.550866</td>\n",
" </tr>\n",
" <tr>\n",
" <td>38</td>\n",
- " <td>0.025000</td>\n",
- " <td>0.063804</td>\n",
- " <td>0.380577</td>\n",
- " <td>0.925926</td>\n",
- " <td>0.539435</td>\n",
- " <td>0.606258</td>\n",
- " <td>0.833333</td>\n",
- " <td>0.701887</td>\n",
- " <td>0.168405</td>\n",
- " <td>0.693133</td>\n",
- " <td>0.270973</td>\n",
- " <td>0.807915</td>\n",
- " <td>0.819377</td>\n",
- " <td>0.813606</td>\n",
- " <td>0.540670</td>\n",
- " <td>0.543269</td>\n",
- " <td>0.541966</td>\n",
- " <td>0.442953</td>\n",
- " <td>0.929577</td>\n",
- " <td>0.600000</td>\n",
- " <td>0.661667</td>\n",
- " <td>0.853763</td>\n",
- " <td>0.745540</td>\n",
- " <td>0.676389</td>\n",
- " <td>0.798361</td>\n",
- " <td>0.732331</td>\n",
- " <td>0.618217</td>\n",
+ " <td>0.043800</td>\n",
+ " <td>0.071468</td>\n",
+ " <td>0.359055</td>\n",
+ " <td>0.777715</td>\n",
+ " <td>0.491291</td>\n",
+ " <td>0.784876</td>\n",
+ " <td>0.524847</td>\n",
+ " <td>0.629049</td>\n",
+ " <td>0.579249</td>\n",
+ " <td>0.535680</td>\n",
+ " <td>0.556613</td>\n",
+ " <td>0.676902</td>\n",
+ " <td>0.722242</td>\n",
+ " <td>0.698838</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.718121</td>\n",
+ " <td>0.640719</td>\n",
+ " <td>0.677215</td>\n",
+ " <td>0.628333</td>\n",
+ " <td>0.788703</td>\n",
+ " <td>0.699443</td>\n",
+ " <td>0.605556</td>\n",
+ " <td>0.835249</td>\n",
+ " <td>0.702093</td>\n",
+ " <td>0.556818</td>\n",
" </tr>\n",
" <tr>\n",
" <td>39</td>\n",
- " <td>0.015200</td>\n",
- " <td>0.067724</td>\n",
- " <td>0.372966</td>\n",
- " <td>0.935484</td>\n",
- " <td>0.533308</td>\n",
- " <td>0.509778</td>\n",
- " <td>0.866962</td>\n",
- " <td>0.642036</td>\n",
- " <td>0.110532</td>\n",
- " <td>0.699670</td>\n",
- " <td>0.190905</td>\n",
- " <td>0.857387</td>\n",
- " <td>0.788269</td>\n",
- " <td>0.821376</td>\n",
- " <td>0.416268</td>\n",
- " <td>0.805556</td>\n",
- " <td>0.548896</td>\n",
- " <td>0.442953</td>\n",
- " <td>0.929577</td>\n",
- " <td>0.600000</td>\n",
- " <td>0.641667</td>\n",
- " <td>0.885057</td>\n",
- " <td>0.743961</td>\n",
- " <td>0.615278</td>\n",
- " <td>0.863548</td>\n",
- " <td>0.718573</td>\n",
- " <td>0.599882</td>\n",
+ " <td>0.043800</td>\n",
+ " <td>0.070900</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.779213</td>\n",
+ " <td>0.496243</td>\n",
+ " <td>0.794003</td>\n",
+ " <td>0.524096</td>\n",
+ " <td>0.631415</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.540816</td>\n",
+ " <td>0.559859</td>\n",
+ " <td>0.679973</td>\n",
+ " <td>0.722625</td>\n",
+ " <td>0.700650</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.691275</td>\n",
+ " <td>0.682119</td>\n",
+ " <td>0.686667</td>\n",
+ " <td>0.580000</td>\n",
+ " <td>0.768212</td>\n",
+ " <td>0.660969</td>\n",
+ " <td>0.583333</td>\n",
+ " <td>0.804598</td>\n",
+ " <td>0.676329</td>\n",
+ " <td>0.551516</td>\n",
" </tr>\n",
" <tr>\n",
" <td>40</td>\n",
- " <td>0.015200</td>\n",
- " <td>0.068417</td>\n",
- " <td>0.374278</td>\n",
- " <td>0.927178</td>\n",
- " <td>0.533283</td>\n",
- " <td>0.531943</td>\n",
- " <td>0.837782</td>\n",
- " <td>0.650718</td>\n",
- " <td>0.103754</td>\n",
- " <td>0.762452</td>\n",
- " <td>0.182653</td>\n",
- " <td>0.822927</td>\n",
- " <td>0.802128</td>\n",
- " <td>0.812395</td>\n",
- " <td>0.483254</td>\n",
- " <td>0.795276</td>\n",
- " <td>0.601190</td>\n",
- " <td>0.436242</td>\n",
- " <td>0.928571</td>\n",
- " <td>0.593607</td>\n",
- " <td>0.640000</td>\n",
- " <td>0.888889</td>\n",
- " <td>0.744186</td>\n",
- " <td>0.658333</td>\n",
- " <td>0.800676</td>\n",
- " <td>0.722561</td>\n",
- " <td>0.605074</td>\n",
+ " <td>0.025700</td>\n",
+ " <td>0.071028</td>\n",
+ " <td>0.364567</td>\n",
+ " <td>0.779461</td>\n",
+ " <td>0.496781</td>\n",
+ " <td>0.790091</td>\n",
+ " <td>0.521515</td>\n",
+ " <td>0.628305</td>\n",
+ " <td>0.579249</td>\n",
+ " <td>0.536974</td>\n",
+ " <td>0.557311</td>\n",
+ " <td>0.680314</td>\n",
+ " <td>0.722726</td>\n",
+ " <td>0.700879</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.711409</td>\n",
+ " <td>0.650307</td>\n",
+ " <td>0.679487</td>\n",
+ " <td>0.633333</td>\n",
+ " <td>0.767677</td>\n",
+ " <td>0.694064</td>\n",
+ " <td>0.575000</td>\n",
+ " <td>0.803883</td>\n",
+ " <td>0.670445</td>\n",
+ " <td>0.553409</td>\n",
" </tr>\n",
" <tr>\n",
" <td>41</td>\n",
- " <td>0.015200</td>\n",
- " <td>0.068958</td>\n",
- " <td>0.388976</td>\n",
- " <td>0.919926</td>\n",
- " <td>0.546763</td>\n",
- " <td>0.560626</td>\n",
- " <td>0.860000</td>\n",
- " <td>0.678769</td>\n",
- " <td>0.140250</td>\n",
- " <td>0.717333</td>\n",
- " <td>0.234627</td>\n",
- " <td>0.717503</td>\n",
- " <td>0.837515</td>\n",
- " <td>0.772878</td>\n",
- " <td>0.545455</td>\n",
- " <td>0.658960</td>\n",
- " <td>0.596859</td>\n",
- " <td>0.436242</td>\n",
- " <td>0.928571</td>\n",
- " <td>0.593607</td>\n",
- " <td>0.663333</td>\n",
- " <td>0.882483</td>\n",
- " <td>0.757374</td>\n",
- " <td>0.666667</td>\n",
- " <td>0.806723</td>\n",
- " <td>0.730038</td>\n",
- " <td>0.613864</td>\n",
+ " <td>0.025700</td>\n",
+ " <td>0.072235</td>\n",
+ " <td>0.361680</td>\n",
+ " <td>0.777652</td>\n",
+ " <td>0.493730</td>\n",
+ " <td>0.792699</td>\n",
+ " <td>0.524138</td>\n",
+ " <td>0.631033</td>\n",
+ " <td>0.572993</td>\n",
+ " <td>0.542984</td>\n",
+ " <td>0.557585</td>\n",
+ " <td>0.680314</td>\n",
+ " <td>0.722726</td>\n",
+ " <td>0.700879</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.635294</td>\n",
+ " <td>0.677116</td>\n",
+ " <td>0.646667</td>\n",
+ " <td>0.750484</td>\n",
+ " <td>0.694718</td>\n",
+ " <td>0.644444</td>\n",
+ " <td>0.802768</td>\n",
+ " <td>0.714946</td>\n",
+ " <td>0.558751</td>\n",
" </tr>\n",
" <tr>\n",
" <td>42</td>\n",
- " <td>0.015200</td>\n",
- " <td>0.067570</td>\n",
- " <td>0.391601</td>\n",
- " <td>0.927861</td>\n",
- " <td>0.550757</td>\n",
- " <td>0.594524</td>\n",
- " <td>0.863636</td>\n",
- " <td>0.704247</td>\n",
- " <td>0.126173</td>\n",
- " <td>0.697406</td>\n",
- " <td>0.213687</td>\n",
- " <td>0.837598</td>\n",
- " <td>0.815615</td>\n",
- " <td>0.826460</td>\n",
- " <td>0.459330</td>\n",
- " <td>0.721805</td>\n",
- " <td>0.561404</td>\n",
- " <td>0.449664</td>\n",
- " <td>0.930556</td>\n",
- " <td>0.606335</td>\n",
- " <td>0.638333</td>\n",
- " <td>0.903302</td>\n",
- " <td>0.748047</td>\n",
- " <td>0.633333</td>\n",
- " <td>0.830601</td>\n",
- " <td>0.718676</td>\n",
- " <td>0.616201</td>\n",
+ " <td>0.025700</td>\n",
+ " <td>0.072701</td>\n",
+ " <td>0.361417</td>\n",
+ " <td>0.780170</td>\n",
+ " <td>0.493991</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.522260</td>\n",
+ " <td>0.630491</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.535869</td>\n",
+ " <td>0.557196</td>\n",
+ " <td>0.680655</td>\n",
+ " <td>0.722564</td>\n",
+ " <td>0.700984</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.624277</td>\n",
+ " <td>0.670807</td>\n",
+ " <td>0.608333</td>\n",
+ " <td>0.754132</td>\n",
+ " <td>0.673432</td>\n",
+ " <td>0.547222</td>\n",
+ " <td>0.788000</td>\n",
+ " <td>0.645902</td>\n",
+ " <td>0.546600</td>\n",
" </tr>\n",
" <tr>\n",
" <td>43</td>\n",
- " <td>0.015200</td>\n",
- " <td>0.069913</td>\n",
- " <td>0.368241</td>\n",
- " <td>0.928524</td>\n",
- " <td>0.527344</td>\n",
- " <td>0.550196</td>\n",
- " <td>0.868313</td>\n",
- " <td>0.673583</td>\n",
- " <td>0.140250</td>\n",
- " <td>0.730978</td>\n",
- " <td>0.235346</td>\n",
- " <td>0.818151</td>\n",
- " <td>0.808496</td>\n",
- " <td>0.813295</td>\n",
- " <td>0.473684</td>\n",
- " <td>0.712230</td>\n",
- " <td>0.568966</td>\n",
- " <td>0.436242</td>\n",
- " <td>0.928571</td>\n",
- " <td>0.593607</td>\n",
- " <td>0.670000</td>\n",
- " <td>0.885463</td>\n",
- " <td>0.762808</td>\n",
- " <td>0.593056</td>\n",
- " <td>0.876797</td>\n",
- " <td>0.707539</td>\n",
- " <td>0.610311</td>\n",
+ " <td>0.025700</td>\n",
+ " <td>0.071690</td>\n",
+ " <td>0.366404</td>\n",
+ " <td>0.777283</td>\n",
+ " <td>0.498038</td>\n",
+ " <td>0.791395</td>\n",
+ " <td>0.521030</td>\n",
+ " <td>0.628364</td>\n",
+ " <td>0.579249</td>\n",
+ " <td>0.537234</td>\n",
+ " <td>0.557451</td>\n",
+ " <td>0.680996</td>\n",
+ " <td>0.723975</td>\n",
+ " <td>0.701828</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.697987</td>\n",
+ " <td>0.679739</td>\n",
+ " <td>0.688742</td>\n",
+ " <td>0.640000</td>\n",
+ " <td>0.768000</td>\n",
+ " <td>0.698182</td>\n",
+ " <td>0.587500</td>\n",
+ " <td>0.829412</td>\n",
+ " <td>0.687805</td>\n",
+ " <td>0.557551</td>\n",
" </tr>\n",
" <tr>\n",
" <td>44</td>\n",
- " <td>0.015200</td>\n",
- " <td>0.066919</td>\n",
- " <td>0.390026</td>\n",
- " <td>0.922981</td>\n",
- " <td>0.548339</td>\n",
- " <td>0.595828</td>\n",
- " <td>0.855805</td>\n",
- " <td>0.702537</td>\n",
- " <td>0.151721</td>\n",
- " <td>0.718519</td>\n",
- " <td>0.250538</td>\n",
- " <td>0.828727</td>\n",
- " <td>0.794830</td>\n",
- " <td>0.811425</td>\n",
- " <td>0.535885</td>\n",
- " <td>0.666667</td>\n",
- " <td>0.594164</td>\n",
- " <td>0.416107</td>\n",
- " <td>0.939394</td>\n",
- " <td>0.576744</td>\n",
- " <td>0.658333</td>\n",
- " <td>0.897727</td>\n",
- " <td>0.759615</td>\n",
- " <td>0.677778</td>\n",
- " <td>0.825719</td>\n",
- " <td>0.744470</td>\n",
- " <td>0.623479</td>\n",
+ " <td>0.025700</td>\n",
+ " <td>0.073134</td>\n",
+ " <td>0.361155</td>\n",
+ " <td>0.780488</td>\n",
+ " <td>0.493809</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.523605</td>\n",
+ " <td>0.631470</td>\n",
+ " <td>0.576121</td>\n",
+ " <td>0.539287</td>\n",
+ " <td>0.557096</td>\n",
+ " <td>0.681679</td>\n",
+ " <td>0.723651</td>\n",
+ " <td>0.702038</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.624277</td>\n",
+ " <td>0.670807</td>\n",
+ " <td>0.646667</td>\n",
+ " <td>0.756335</td>\n",
+ " <td>0.697215</td>\n",
+ " <td>0.644444</td>\n",
+ " <td>0.804159</td>\n",
+ " <td>0.715497</td>\n",
+ " <td>0.558492</td>\n",
" </tr>\n",
" <tr>\n",
" <td>45</td>\n",
- " <td>0.015200</td>\n",
- " <td>0.070344</td>\n",
- " <td>0.379790</td>\n",
- " <td>0.925784</td>\n",
- " <td>0.538619</td>\n",
- " <td>0.561930</td>\n",
- " <td>0.876016</td>\n",
- " <td>0.684670</td>\n",
- " <td>0.119395</td>\n",
- " <td>0.726984</td>\n",
- " <td>0.205105</td>\n",
- " <td>0.814057</td>\n",
- " <td>0.811565</td>\n",
- " <td>0.812809</td>\n",
- " <td>0.535885</td>\n",
- " <td>0.654971</td>\n",
- " <td>0.589474</td>\n",
- " <td>0.429530</td>\n",
- " <td>0.941176</td>\n",
- " <td>0.589862</td>\n",
- " <td>0.656667</td>\n",
- " <td>0.893424</td>\n",
- " <td>0.756964</td>\n",
- " <td>0.641667</td>\n",
- " <td>0.861940</td>\n",
- " <td>0.735669</td>\n",
- " <td>0.614147</td>\n",
+ " <td>0.025700</td>\n",
+ " <td>0.072967</td>\n",
+ " <td>0.364304</td>\n",
+ " <td>0.778463</td>\n",
+ " <td>0.496335</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.523156</td>\n",
+ " <td>0.631143</td>\n",
+ " <td>0.579771</td>\n",
+ " <td>0.538238</td>\n",
+ " <td>0.558233</td>\n",
+ " <td>0.682020</td>\n",
+ " <td>0.722966</td>\n",
+ " <td>0.701896</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.697987</td>\n",
+ " <td>0.634146</td>\n",
+ " <td>0.664537</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.748571</td>\n",
+ " <td>0.698667</td>\n",
+ " <td>0.591667</td>\n",
+ " <td>0.806818</td>\n",
+ " <td>0.682692</td>\n",
+ " <td>0.554188</td>\n",
" </tr>\n",
" <tr>\n",
" <td>46</td>\n",
- " <td>0.015200</td>\n",
- " <td>0.071540</td>\n",
- " <td>0.350131</td>\n",
- " <td>0.937456</td>\n",
- " <td>0.509841</td>\n",
- " <td>0.603651</td>\n",
- " <td>0.847985</td>\n",
- " <td>0.705255</td>\n",
- " <td>0.143379</td>\n",
- " <td>0.718016</td>\n",
- " <td>0.239027</td>\n",
- " <td>0.817127</td>\n",
- " <td>0.809943</td>\n",
- " <td>0.813519</td>\n",
- " <td>0.492823</td>\n",
- " <td>0.628049</td>\n",
- " <td>0.552279</td>\n",
- " <td>0.449664</td>\n",
- " <td>0.917808</td>\n",
- " <td>0.603604</td>\n",
- " <td>0.653333</td>\n",
- " <td>0.899083</td>\n",
- " <td>0.756757</td>\n",
- " <td>0.643056</td>\n",
- " <td>0.837251</td>\n",
- " <td>0.727416</td>\n",
- " <td>0.613462</td>\n",
+ " <td>0.025700</td>\n",
+ " <td>0.073207</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.779213</td>\n",
+ " <td>0.496243</td>\n",
+ " <td>0.792699</td>\n",
+ " <td>0.522337</td>\n",
+ " <td>0.629726</td>\n",
+ " <td>0.579771</td>\n",
+ " <td>0.536421</td>\n",
+ " <td>0.557254</td>\n",
+ " <td>0.681337</td>\n",
+ " <td>0.722765</td>\n",
+ " <td>0.701440</td>\n",
+ " <td>0.000000</td>\n",
+ " <td>0</td>\n",
+ " <td>0</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.635294</td>\n",
+ " <td>0.677116</td>\n",
+ " <td>0.640000</td>\n",
+ " <td>0.766467</td>\n",
+ " <td>0.697548</td>\n",
+ " <td>0.636111</td>\n",
+ " <td>0.809187</td>\n",
+ " <td>0.712286</td>\n",
+ " <td>0.558952</td>\n",
" </tr>\n",
" <tr>\n",
" <td>47</td>\n",
- " <td>0.010700</td>\n",
- " <td>0.070772</td>\n",
- " <td>0.390026</td>\n",
- " <td>0.922981</td>\n",
- " <td>0.548339</td>\n",
- " <td>0.580183</td>\n",
- " <td>0.860735</td>\n",
- " <td>0.693146</td>\n",
- " <td>0.147550</td>\n",
- " <td>0.716456</td>\n",
- " <td>0.244704</td>\n",
- " <td>0.829751</td>\n",
- " <td>0.807169</td>\n",
- " <td>0.818304</td>\n",
- " <td>0.459330</td>\n",
- " <td>0.716418</td>\n",
- " <td>0.559767</td>\n",
- " <td>0.429530</td>\n",
- " <td>0.927536</td>\n",
- " <td>0.587156</td>\n",
+ " <td>0.025700</td>\n",
+ " <td>0.073620</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.792699</td>\n",
+ " <td>0.523236</td>\n",
+ " <td>0.630378</td>\n",
+ " <td>0.579771</td>\n",
+ " <td>0.537978</td>\n",
+ " <td>0.558093</td>\n",
+ " <td>0.681679</td>\n",
+ " <td>0.724175</td>\n",
+ " <td>0.702285</td>\n",
+ " <td>0.004785</td>\n",
+ " <td>0.142857</td>\n",
+ " <td>0.009259</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.650602</td>\n",
+ " <td>0.685714</td>\n",
" <td>0.653333</td>\n",
- " <td>0.899083</td>\n",
- " <td>0.756757</td>\n",
- " <td>0.627778</td>\n",
- " <td>0.852830</td>\n",
- " <td>0.723200</td>\n",
- " <td>0.616422</td>\n",
+ " <td>0.753846</td>\n",
+ " <td>0.700000</td>\n",
+ " <td>0.633333</td>\n",
+ " <td>0.809947</td>\n",
+ " <td>0.710834</td>\n",
+ " <td>0.561590</td>\n",
" </tr>\n",
" <tr>\n",
" <td>48</td>\n",
- " <td>0.010700</td>\n",
- " <td>0.070882</td>\n",
- " <td>0.388976</td>\n",
- " <td>0.924517</td>\n",
- " <td>0.547571</td>\n",
- " <td>0.569752</td>\n",
- " <td>0.860236</td>\n",
- " <td>0.685490</td>\n",
- " <td>0.131387</td>\n",
- " <td>0.701950</td>\n",
- " <td>0.221344</td>\n",
- " <td>0.819174</td>\n",
- " <td>0.802473</td>\n",
- " <td>0.810738</td>\n",
- " <td>0.440191</td>\n",
- " <td>0.702290</td>\n",
- " <td>0.541176</td>\n",
- " <td>0.449664</td>\n",
- " <td>0.930556</td>\n",
- " <td>0.606335</td>\n",
- " <td>0.668333</td>\n",
- " <td>0.887168</td>\n",
- " <td>0.762357</td>\n",
- " <td>0.659722</td>\n",
- " <td>0.806452</td>\n",
- " <td>0.725745</td>\n",
- " <td>0.612595</td>\n",
+ " <td>0.025700</td>\n",
+ " <td>0.073742</td>\n",
+ " <td>0.364304</td>\n",
+ " <td>0.779337</td>\n",
+ " <td>0.496512</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.526316</td>\n",
+ " <td>0.633437</td>\n",
+ " <td>0.578728</td>\n",
+ " <td>0.536750</td>\n",
+ " <td>0.556949</td>\n",
+ " <td>0.681337</td>\n",
+ " <td>0.722765</td>\n",
+ " <td>0.701440</td>\n",
+ " <td>0.004785</td>\n",
+ " <td>0.125000</td>\n",
+ " <td>0.009217</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.637427</td>\n",
+ " <td>0.681250</td>\n",
+ " <td>0.640000</td>\n",
+ " <td>0.757396</td>\n",
+ " <td>0.693767</td>\n",
+ " <td>0.637500</td>\n",
+ " <td>0.808099</td>\n",
+ " <td>0.712733</td>\n",
+ " <td>0.560663</td>\n",
" </tr>\n",
" <tr>\n",
" <td>49</td>\n",
- " <td>0.010700</td>\n",
- " <td>0.070016</td>\n",
- " <td>0.384777</td>\n",
- " <td>0.925505</td>\n",
- " <td>0.543567</td>\n",
- " <td>0.602347</td>\n",
- " <td>0.841530</td>\n",
- " <td>0.702128</td>\n",
- " <td>0.166840</td>\n",
- " <td>0.711111</td>\n",
- " <td>0.270270</td>\n",
- " <td>0.813033</td>\n",
- " <td>0.807249</td>\n",
- " <td>0.810131</td>\n",
- " <td>0.574163</td>\n",
- " <td>0.615385</td>\n",
- " <td>0.594059</td>\n",
- " <td>0.449664</td>\n",
- " <td>0.930556</td>\n",
- " <td>0.606335</td>\n",
- " <td>0.670000</td>\n",
- " <td>0.877729</td>\n",
- " <td>0.759924</td>\n",
- " <td>0.668056</td>\n",
- " <td>0.851327</td>\n",
- " <td>0.748638</td>\n",
- " <td>0.629382</td>\n",
+ " <td>0.025700</td>\n",
+ " <td>0.073689</td>\n",
+ " <td>0.364304</td>\n",
+ " <td>0.778900</td>\n",
+ " <td>0.496423</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.579771</td>\n",
+ " <td>0.540068</td>\n",
+ " <td>0.559215</td>\n",
+ " <td>0.682020</td>\n",
+ " <td>0.722966</td>\n",
+ " <td>0.701896</td>\n",
+ " <td>0.023923</td>\n",
+ " <td>0.166667</td>\n",
+ " <td>0.041841</td>\n",
+ " <td>0.711409</td>\n",
+ " <td>0.675159</td>\n",
+ " <td>0.692810</td>\n",
+ " <td>0.646667</td>\n",
+ " <td>0.756335</td>\n",
+ " <td>0.697215</td>\n",
+ " <td>0.633333</td>\n",
+ " <td>0.808511</td>\n",
+ " <td>0.710280</td>\n",
+ " <td>0.566435</td>\n",
" </tr>\n",
" <tr>\n",
" <td>50</td>\n",
- " <td>0.010700</td>\n",
- " <td>0.072628</td>\n",
- " <td>0.383465</td>\n",
- " <td>0.925269</td>\n",
- " <td>0.542216</td>\n",
- " <td>0.565841</td>\n",
- " <td>0.849315</td>\n",
- " <td>0.679186</td>\n",
- " <td>0.151721</td>\n",
- " <td>0.704600</td>\n",
- " <td>0.249678</td>\n",
- " <td>0.805527</td>\n",
- " <td>0.811898</td>\n",
- " <td>0.808700</td>\n",
- " <td>0.502392</td>\n",
- " <td>0.652174</td>\n",
- " <td>0.567568</td>\n",
- " <td>0.463087</td>\n",
- " <td>0.920000</td>\n",
- " <td>0.616071</td>\n",
- " <td>0.668333</td>\n",
- " <td>0.891111</td>\n",
- " <td>0.763810</td>\n",
- " <td>0.641667</td>\n",
- " <td>0.870056</td>\n",
- " <td>0.738609</td>\n",
- " <td>0.620730</td>\n",
+ " <td>0.018200</td>\n",
+ " <td>0.074098</td>\n",
+ " <td>0.363780</td>\n",
+ " <td>0.779528</td>\n",
+ " <td>0.496063</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.579771</td>\n",
+ " <td>0.539282</td>\n",
+ " <td>0.558794</td>\n",
+ " <td>0.682020</td>\n",
+ " <td>0.722966</td>\n",
+ " <td>0.701896</td>\n",
+ " <td>0.047847</td>\n",
+ " <td>0.250000</td>\n",
+ " <td>0.080321</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.650602</td>\n",
+ " <td>0.685714</td>\n",
+ " <td>0.636667</td>\n",
+ " <td>0.771717</td>\n",
+ " <td>0.697717</td>\n",
+ " <td>0.636111</td>\n",
+ " <td>0.809187</td>\n",
+ " <td>0.712286</td>\n",
+ " <td>0.570574</td>\n",
" </tr>\n",
" <tr>\n",
" <td>51</td>\n",
- " <td>0.010700</td>\n",
- " <td>0.071187</td>\n",
- " <td>0.395013</td>\n",
- " <td>0.923880</td>\n",
- " <td>0.553411</td>\n",
- " <td>0.556714</td>\n",
- " <td>0.854000</td>\n",
- " <td>0.674033</td>\n",
- " <td>0.165798</td>\n",
- " <td>0.703540</td>\n",
- " <td>0.268354</td>\n",
- " <td>0.827021</td>\n",
- " <td>0.785737</td>\n",
- " <td>0.805851</td>\n",
- " <td>0.521531</td>\n",
- " <td>0.660606</td>\n",
- " <td>0.582888</td>\n",
- " <td>0.442953</td>\n",
- " <td>0.929577</td>\n",
- " <td>0.600000</td>\n",
- " <td>0.663333</td>\n",
- " <td>0.892377</td>\n",
- " <td>0.760994</td>\n",
- " <td>0.647222</td>\n",
- " <td>0.827709</td>\n",
- " <td>0.726422</td>\n",
- " <td>0.621494</td>\n",
+ " <td>0.018200</td>\n",
+ " <td>0.074157</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.779213</td>\n",
+ " <td>0.496243</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.579771</td>\n",
+ " <td>0.538760</td>\n",
+ " <td>0.558513</td>\n",
+ " <td>0.681679</td>\n",
+ " <td>0.723127</td>\n",
+ " <td>0.701791</td>\n",
+ " <td>0.066986</td>\n",
+ " <td>0.259259</td>\n",
+ " <td>0.106464</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.620690</td>\n",
+ " <td>0.668731</td>\n",
+ " <td>0.651667</td>\n",
+ " <td>0.746183</td>\n",
+ " <td>0.695730</td>\n",
+ " <td>0.637500</td>\n",
+ " <td>0.812389</td>\n",
+ " <td>0.714397</td>\n",
+ " <td>0.571708</td>\n",
" </tr>\n",
" <tr>\n",
" <td>52</td>\n",
- " <td>0.010700</td>\n",
- " <td>0.071963</td>\n",
- " <td>0.391864</td>\n",
- " <td>0.924458</td>\n",
- " <td>0.550415</td>\n",
- " <td>0.574967</td>\n",
- " <td>0.849711</td>\n",
- " <td>0.685848</td>\n",
- " <td>0.159020</td>\n",
- " <td>0.706019</td>\n",
- " <td>0.259574</td>\n",
- " <td>0.837257</td>\n",
- " <td>0.791103</td>\n",
- " <td>0.813526</td>\n",
- " <td>0.545455</td>\n",
- " <td>0.651429</td>\n",
- " <td>0.593750</td>\n",
- " <td>0.429530</td>\n",
- " <td>0.914286</td>\n",
- " <td>0.584475</td>\n",
- " <td>0.665000</td>\n",
- " <td>0.878855</td>\n",
- " <td>0.757116</td>\n",
- " <td>0.640278</td>\n",
- " <td>0.841241</td>\n",
- " <td>0.727129</td>\n",
- " <td>0.621479</td>\n",
+ " <td>0.018200</td>\n",
+ " <td>0.074753</td>\n",
+ " <td>0.363780</td>\n",
+ " <td>0.778652</td>\n",
+ " <td>0.495886</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.579771</td>\n",
+ " <td>0.535904</td>\n",
+ " <td>0.556975</td>\n",
+ " <td>0.682361</td>\n",
+ " <td>0.723066</td>\n",
+ " <td>0.702124</td>\n",
+ " <td>0.076555</td>\n",
+ " <td>0.238806</td>\n",
+ " <td>0.115942</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.627907</td>\n",
+ " <td>0.672897</td>\n",
+ " <td>0.643333</td>\n",
+ " <td>0.753906</td>\n",
+ " <td>0.694245</td>\n",
+ " <td>0.637500</td>\n",
+ " <td>0.812389</td>\n",
+ " <td>0.714397</td>\n",
+ " <td>0.573033</td>\n",
" </tr>\n",
" <tr>\n",
" <td>53</td>\n",
- " <td>0.010700</td>\n",
- " <td>0.071476</td>\n",
- " <td>0.403937</td>\n",
- " <td>0.919904</td>\n",
- " <td>0.561372</td>\n",
- " <td>0.590613</td>\n",
- " <td>0.842007</td>\n",
- " <td>0.694253</td>\n",
- " <td>0.171533</td>\n",
- " <td>0.706009</td>\n",
- " <td>0.276007</td>\n",
- " <td>0.818833</td>\n",
- " <td>0.801336</td>\n",
- " <td>0.809990</td>\n",
- " <td>0.511962</td>\n",
- " <td>0.652439</td>\n",
- " <td>0.573727</td>\n",
- " <td>0.456376</td>\n",
- " <td>0.918919</td>\n",
- " <td>0.609865</td>\n",
- " <td>0.663333</td>\n",
- " <td>0.892377</td>\n",
- " <td>0.760994</td>\n",
- " <td>0.654167</td>\n",
- " <td>0.867403</td>\n",
- " <td>0.745843</td>\n",
- " <td>0.629006</td>\n",
+ " <td>0.018200</td>\n",
+ " <td>0.075267</td>\n",
+ " <td>0.363780</td>\n",
+ " <td>0.778652</td>\n",
+ " <td>0.495886</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.579771</td>\n",
+ " <td>0.539021</td>\n",
+ " <td>0.558654</td>\n",
+ " <td>0.682361</td>\n",
+ " <td>0.723066</td>\n",
+ " <td>0.702124</td>\n",
+ " <td>0.110048</td>\n",
+ " <td>0.319444</td>\n",
+ " <td>0.163701</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.631579</td>\n",
+ " <td>0.675000</td>\n",
+ " <td>0.645000</td>\n",
+ " <td>0.752918</td>\n",
+ " <td>0.694794</td>\n",
+ " <td>0.636111</td>\n",
+ " <td>0.812057</td>\n",
+ " <td>0.713396</td>\n",
+ " <td>0.579419</td>\n",
" </tr>\n",
" <tr>\n",
" <td>54</td>\n",
- " <td>0.008000</td>\n",
- " <td>0.072140</td>\n",
- " <td>0.398163</td>\n",
- " <td>0.919951</td>\n",
- " <td>0.555779</td>\n",
- " <td>0.574967</td>\n",
- " <td>0.849711</td>\n",
- " <td>0.685848</td>\n",
- " <td>0.161627</td>\n",
- " <td>0.707763</td>\n",
- " <td>0.263158</td>\n",
- " <td>0.818833</td>\n",
- " <td>0.801068</td>\n",
- " <td>0.809853</td>\n",
- " <td>0.569378</td>\n",
- " <td>0.601010</td>\n",
- " <td>0.584767</td>\n",
- " <td>0.429530</td>\n",
- " <td>0.927536</td>\n",
- " <td>0.587156</td>\n",
- " <td>0.671667</td>\n",
- " <td>0.874187</td>\n",
- " <td>0.759661</td>\n",
- " <td>0.670833</td>\n",
- " <td>0.818644</td>\n",
- " <td>0.737405</td>\n",
- " <td>0.622953</td>\n",
+ " <td>0.018200</td>\n",
+ " <td>0.075123</td>\n",
+ " <td>0.364829</td>\n",
+ " <td>0.779148</td>\n",
+ " <td>0.496961</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.579771</td>\n",
+ " <td>0.538760</td>\n",
+ " <td>0.558513</td>\n",
+ " <td>0.682361</td>\n",
+ " <td>0.723327</td>\n",
+ " <td>0.702247</td>\n",
+ " <td>0.186603</td>\n",
+ " <td>0.453488</td>\n",
+ " <td>0.264407</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.631579</td>\n",
+ " <td>0.675000</td>\n",
+ " <td>0.643333</td>\n",
+ " <td>0.749515</td>\n",
+ " <td>0.692377</td>\n",
+ " <td>0.630556</td>\n",
+ " <td>0.809269</td>\n",
+ " <td>0.708821</td>\n",
+ " <td>0.591265</td>\n",
" </tr>\n",
" <tr>\n",
" <td>55</td>\n",
- " <td>0.008000</td>\n",
- " <td>0.071148</td>\n",
- " <td>0.406299</td>\n",
- " <td>0.919786</td>\n",
- " <td>0.563626</td>\n",
- " <td>0.588005</td>\n",
- " <td>0.846154</td>\n",
- " <td>0.693846</td>\n",
- " <td>0.165276</td>\n",
- " <td>0.717195</td>\n",
- " <td>0.268644</td>\n",
- " <td>0.829751</td>\n",
- " <td>0.796333</td>\n",
- " <td>0.812698</td>\n",
- " <td>0.564593</td>\n",
- " <td>0.674286</td>\n",
- " <td>0.614583</td>\n",
- " <td>0.523490</td>\n",
- " <td>0.928571</td>\n",
- " <td>0.669528</td>\n",
- " <td>0.676667</td>\n",
- " <td>0.851153</td>\n",
- " <td>0.753946</td>\n",
- " <td>0.663889</td>\n",
- " <td>0.826990</td>\n",
- " <td>0.736518</td>\n",
- " <td>0.639174</td>\n",
+ " <td>0.018200</td>\n",
+ " <td>0.075525</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.779213</td>\n",
+ " <td>0.496243</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.579771</td>\n",
+ " <td>0.539021</td>\n",
+ " <td>0.558654</td>\n",
+ " <td>0.682361</td>\n",
+ " <td>0.724113</td>\n",
+ " <td>0.702617</td>\n",
+ " <td>0.162679</td>\n",
+ " <td>0.395349</td>\n",
+ " <td>0.230508</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.617143</td>\n",
+ " <td>0.666667</td>\n",
+ " <td>0.646667</td>\n",
+ " <td>0.750484</td>\n",
+ " <td>0.694718</td>\n",
+ " <td>0.634722</td>\n",
+ " <td>0.811723</td>\n",
+ " <td>0.712393</td>\n",
+ " <td>0.586700</td>\n",
" </tr>\n",
" <tr>\n",
" <td>56</td>\n",
- " <td>0.008000</td>\n",
- " <td>0.072347</td>\n",
- " <td>0.405774</td>\n",
- " <td>0.920238</td>\n",
- " <td>0.563206</td>\n",
- " <td>0.569752</td>\n",
- " <td>0.860236</td>\n",
- " <td>0.685490</td>\n",
- " <td>0.173097</td>\n",
- " <td>0.706383</td>\n",
- " <td>0.278057</td>\n",
- " <td>0.841351</td>\n",
- " <td>0.787608</td>\n",
- " <td>0.813593</td>\n",
- " <td>0.564593</td>\n",
- " <td>0.634409</td>\n",
- " <td>0.597468</td>\n",
- " <td>0.449664</td>\n",
- " <td>0.930556</td>\n",
- " <td>0.606335</td>\n",
- " <td>0.665000</td>\n",
- " <td>0.869281</td>\n",
- " <td>0.753541</td>\n",
- " <td>0.672222</td>\n",
- " <td>0.805324</td>\n",
- " <td>0.732778</td>\n",
- " <td>0.628809</td>\n",
+ " <td>0.018200</td>\n",
+ " <td>0.075460</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.538722</td>\n",
+ " <td>0.558735</td>\n",
+ " <td>0.682361</td>\n",
+ " <td>0.725689</td>\n",
+ " <td>0.703359</td>\n",
+ " <td>0.191388</td>\n",
+ " <td>0.449438</td>\n",
+ " <td>0.268456</td>\n",
+ " <td>0.697987</td>\n",
+ " <td>0.654088</td>\n",
+ " <td>0.675325</td>\n",
+ " <td>0.643333</td>\n",
+ " <td>0.749515</td>\n",
+ " <td>0.692377</td>\n",
+ " <td>0.637500</td>\n",
+ " <td>0.812389</td>\n",
+ " <td>0.714397</td>\n",
+ " <td>0.592575</td>\n",
" </tr>\n",
" <tr>\n",
" <td>57</td>\n",
- " <td>0.008000</td>\n",
- " <td>0.072100</td>\n",
- " <td>0.394751</td>\n",
- " <td>0.922699</td>\n",
- " <td>0.552941</td>\n",
- " <td>0.574967</td>\n",
- " <td>0.844828</td>\n",
- " <td>0.684251</td>\n",
- " <td>0.189781</td>\n",
- " <td>0.701349</td>\n",
- " <td>0.298728</td>\n",
- " <td>0.868646</td>\n",
- " <td>0.778831</td>\n",
- " <td>0.821290</td>\n",
- " <td>0.545455</td>\n",
- " <td>0.658960</td>\n",
- " <td>0.596859</td>\n",
- " <td>0.456376</td>\n",
- " <td>0.931507</td>\n",
- " <td>0.612613</td>\n",
- " <td>0.663333</td>\n",
- " <td>0.868996</td>\n",
- " <td>0.752363</td>\n",
- " <td>0.666667</td>\n",
- " <td>0.810811</td>\n",
- " <td>0.731707</td>\n",
- " <td>0.631344</td>\n",
+ " <td>0.018200</td>\n",
+ " <td>0.076202</td>\n",
+ " <td>0.363780</td>\n",
+ " <td>0.779089</td>\n",
+ " <td>0.495974</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.579771</td>\n",
+ " <td>0.535388</td>\n",
+ " <td>0.556696</td>\n",
+ " <td>0.680996</td>\n",
+ " <td>0.723188</td>\n",
+ " <td>0.701458</td>\n",
+ " <td>0.263158</td>\n",
+ " <td>0.454545</td>\n",
+ " <td>0.333333</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.620690</td>\n",
+ " <td>0.668731</td>\n",
+ " <td>0.643333</td>\n",
+ " <td>0.749515</td>\n",
+ " <td>0.692377</td>\n",
+ " <td>0.637500</td>\n",
+ " <td>0.812389</td>\n",
+ " <td>0.714397</td>\n",
+ " <td>0.599345</td>\n",
" </tr>\n",
" <tr>\n",
" <td>58</td>\n",
- " <td>0.008000</td>\n",
- " <td>0.072843</td>\n",
- " <td>0.390814</td>\n",
- " <td>0.923697</td>\n",
- " <td>0.549244</td>\n",
- " <td>0.597132</td>\n",
- " <td>0.843462</td>\n",
- " <td>0.699237</td>\n",
- " <td>0.182482</td>\n",
- " <td>0.711382</td>\n",
- " <td>0.290456</td>\n",
- " <td>0.854657</td>\n",
- " <td>0.791469</td>\n",
- " <td>0.821850</td>\n",
- " <td>0.540670</td>\n",
- " <td>0.645714</td>\n",
- " <td>0.588542</td>\n",
- " <td>0.449664</td>\n",
- " <td>0.917808</td>\n",
- " <td>0.603604</td>\n",
+ " <td>0.018200</td>\n",
+ " <td>0.076025</td>\n",
+ " <td>0.364304</td>\n",
+ " <td>0.778900</td>\n",
+ " <td>0.496423</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.579771</td>\n",
+ " <td>0.537718</td>\n",
+ " <td>0.557953</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.723689</td>\n",
+ " <td>0.702598</td>\n",
+ " <td>0.282297</td>\n",
+ " <td>0.443609</td>\n",
+ " <td>0.345029</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.617143</td>\n",
" <td>0.666667</td>\n",
- " <td>0.860215</td>\n",
- " <td>0.751174</td>\n",
- " <td>0.688889</td>\n",
- " <td>0.781102</td>\n",
- " <td>0.732103</td>\n",
- " <td>0.629526</td>\n",
+ " <td>0.645000</td>\n",
+ " <td>0.750000</td>\n",
+ " <td>0.693548</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.601301</td>\n",
" </tr>\n",
" <tr>\n",
" <td>59</td>\n",
- " <td>0.008000</td>\n",
- " <td>0.073446</td>\n",
- " <td>0.387664</td>\n",
- " <td>0.921397</td>\n",
- " <td>0.545723</td>\n",
- " <td>0.614081</td>\n",
- " <td>0.832155</td>\n",
- " <td>0.706677</td>\n",
- " <td>0.172576</td>\n",
- " <td>0.711828</td>\n",
- " <td>0.277801</td>\n",
- " <td>0.808257</td>\n",
- " <td>0.809638</td>\n",
- " <td>0.808947</td>\n",
- " <td>0.545455</td>\n",
- " <td>0.644068</td>\n",
- " <td>0.590674</td>\n",
- " <td>0.449664</td>\n",
- " <td>0.930556</td>\n",
- " <td>0.606335</td>\n",
- " <td>0.678333</td>\n",
- " <td>0.864119</td>\n",
- " <td>0.760037</td>\n",
- " <td>0.716667</td>\n",
- " <td>0.747826</td>\n",
- " <td>0.731915</td>\n",
- " <td>0.628514</td>\n",
+ " <td>0.018200</td>\n",
+ " <td>0.076603</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.722905</td>\n",
+ " <td>0.702228</td>\n",
+ " <td>0.267943</td>\n",
+ " <td>0.474576</td>\n",
+ " <td>0.342508</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.617143</td>\n",
+ " <td>0.666667</td>\n",
+ " <td>0.645000</td>\n",
+ " <td>0.750000</td>\n",
+ " <td>0.693548</td>\n",
+ " <td>0.638889</td>\n",
+ " <td>0.812721</td>\n",
+ " <td>0.715397</td>\n",
+ " <td>0.600914</td>\n",
" </tr>\n",
" <tr>\n",
" <td>60</td>\n",
- " <td>0.008000</td>\n",
- " <td>0.068292</td>\n",
- " <td>0.415223</td>\n",
- " <td>0.916039</td>\n",
- " <td>0.571429</td>\n",
- " <td>0.619296</td>\n",
- " <td>0.833333</td>\n",
- " <td>0.710546</td>\n",
- " <td>0.212200</td>\n",
- " <td>0.677205</td>\n",
- " <td>0.323144</td>\n",
- " <td>0.836916</td>\n",
- " <td>0.778483</td>\n",
- " <td>0.806643</td>\n",
- " <td>0.578947</td>\n",
- " <td>0.679775</td>\n",
- " <td>0.625323</td>\n",
- " <td>0.436242</td>\n",
- " <td>0.942029</td>\n",
- " <td>0.596330</td>\n",
- " <td>0.691667</td>\n",
- " <td>0.826693</td>\n",
- " <td>0.753176</td>\n",
- " <td>0.729167</td>\n",
- " <td>0.741525</td>\n",
- " <td>0.735294</td>\n",
- " <td>0.640236</td>\n",
+ " <td>0.013800</td>\n",
+ " <td>0.076615</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.538983</td>\n",
+ " <td>0.558875</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.722905</td>\n",
+ " <td>0.702228</td>\n",
+ " <td>0.330144</td>\n",
+ " <td>0.475862</td>\n",
+ " <td>0.389831</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.610169</td>\n",
+ " <td>0.662577</td>\n",
+ " <td>0.645000</td>\n",
+ " <td>0.750000</td>\n",
+ " <td>0.693548</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606426</td>\n",
" </tr>\n",
" <tr>\n",
" <td>61</td>\n",
- " <td>0.008000</td>\n",
- " <td>0.069890</td>\n",
- " <td>0.472441</td>\n",
- " <td>0.908632</td>\n",
- " <td>0.621654</td>\n",
- " <td>0.607562</td>\n",
- " <td>0.830660</td>\n",
- " <td>0.701807</td>\n",
- " <td>0.185610</td>\n",
- " <td>0.704950</td>\n",
- " <td>0.293851</td>\n",
- " <td>0.747185</td>\n",
- " <td>0.836836</td>\n",
- " <td>0.789474</td>\n",
- " <td>0.511962</td>\n",
- " <td>0.660494</td>\n",
- " <td>0.576819</td>\n",
- " <td>0.543624</td>\n",
- " <td>0.861702</td>\n",
- " <td>0.666667</td>\n",
- " <td>0.700000</td>\n",
- " <td>0.801527</td>\n",
- " <td>0.747331</td>\n",
- " <td>0.781944</td>\n",
- " <td>0.524697</td>\n",
- " <td>0.627998</td>\n",
- " <td>0.628200</td>\n",
+ " <td>0.013800</td>\n",
+ " <td>0.077514</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.537681</td>\n",
+ " <td>0.558175</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.723166</td>\n",
+ " <td>0.702352</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.506849</td>\n",
+ " <td>0.416901</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.598901</td>\n",
+ " <td>0.658610</td>\n",
+ " <td>0.645000</td>\n",
+ " <td>0.751456</td>\n",
+ " <td>0.694170</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.609319</td>\n",
" </tr>\n",
" <tr>\n",
" <td>62</td>\n",
- " <td>0.006900</td>\n",
- " <td>0.077804</td>\n",
- " <td>0.395538</td>\n",
- " <td>0.940699</td>\n",
- " <td>0.556911</td>\n",
- " <td>0.590613</td>\n",
- " <td>0.834254</td>\n",
- " <td>0.691603</td>\n",
- " <td>0.157977</td>\n",
- " <td>0.682432</td>\n",
- " <td>0.256562</td>\n",
- " <td>0.763903</td>\n",
- " <td>0.824374</td>\n",
- " <td>0.792987</td>\n",
- " <td>0.473684</td>\n",
- " <td>0.717391</td>\n",
- " <td>0.570605</td>\n",
- " <td>0.442953</td>\n",
- " <td>0.929577</td>\n",
- " <td>0.600000</td>\n",
- " <td>0.666667</td>\n",
- " <td>0.923788</td>\n",
- " <td>0.774443</td>\n",
- " <td>0.516667</td>\n",
- " <td>0.932331</td>\n",
- " <td>0.664879</td>\n",
- " <td>0.613499</td>\n",
+ " <td>0.013800</td>\n",
+ " <td>0.077441</td>\n",
+ " <td>0.365879</td>\n",
+ " <td>0.779642</td>\n",
+ " <td>0.498035</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524957</td>\n",
+ " <td>0.632452</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.537681</td>\n",
+ " <td>0.558175</td>\n",
+ " <td>0.680314</td>\n",
+ " <td>0.723775</td>\n",
+ " <td>0.701372</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.471338</td>\n",
+ " <td>0.404372</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.586022</td>\n",
+ " <td>0.650746</td>\n",
+ " <td>0.646667</td>\n",
+ " <td>0.749035</td>\n",
+ " <td>0.694097</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606955</td>\n",
" </tr>\n",
" <tr>\n",
" <td>63</td>\n",
- " <td>0.006900</td>\n",
- " <td>0.075310</td>\n",
- " <td>0.386089</td>\n",
- " <td>0.931602</td>\n",
- " <td>0.545927</td>\n",
- " <td>0.565841</td>\n",
- " <td>0.839458</td>\n",
- " <td>0.676012</td>\n",
- " <td>0.149635</td>\n",
- " <td>0.701711</td>\n",
- " <td>0.246670</td>\n",
- " <td>0.835892</td>\n",
- " <td>0.792367</td>\n",
- " <td>0.813548</td>\n",
- " <td>0.521531</td>\n",
- " <td>0.672840</td>\n",
- " <td>0.587601</td>\n",
- " <td>0.442953</td>\n",
- " <td>0.942857</td>\n",
- " <td>0.602740</td>\n",
- " <td>0.561667</td>\n",
- " <td>0.905914</td>\n",
- " <td>0.693416</td>\n",
- " <td>0.800000</td>\n",
- " <td>0.595041</td>\n",
- " <td>0.682464</td>\n",
- " <td>0.606047</td>\n",
+ " <td>0.013800</td>\n",
+ " <td>0.077578</td>\n",
+ " <td>0.365879</td>\n",
+ " <td>0.779642</td>\n",
+ " <td>0.498035</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.538722</td>\n",
+ " <td>0.558735</td>\n",
+ " <td>0.680314</td>\n",
+ " <td>0.726147</td>\n",
+ " <td>0.702484</td>\n",
+ " <td>0.301435</td>\n",
+ " <td>0.473684</td>\n",
+ " <td>0.368421</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.582888</td>\n",
+ " <td>0.648810</td>\n",
+ " <td>0.656667</td>\n",
+ " <td>0.751908</td>\n",
+ " <td>0.701068</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.603218</td>\n",
" </tr>\n",
" <tr>\n",
" <td>64</td>\n",
- " <td>0.006900</td>\n",
- " <td>0.075709</td>\n",
- " <td>0.408136</td>\n",
- " <td>0.928358</td>\n",
- " <td>0.567001</td>\n",
- " <td>0.612777</td>\n",
- " <td>0.797963</td>\n",
- " <td>0.693215</td>\n",
- " <td>0.158498</td>\n",
- " <td>0.642706</td>\n",
- " <td>0.254287</td>\n",
- " <td>0.800068</td>\n",
- " <td>0.821366</td>\n",
- " <td>0.810577</td>\n",
- " <td>0.507177</td>\n",
- " <td>0.736111</td>\n",
- " <td>0.600567</td>\n",
- " <td>0.442953</td>\n",
- " <td>0.929577</td>\n",
- " <td>0.600000</td>\n",
- " <td>0.666667</td>\n",
- " <td>0.938967</td>\n",
- " <td>0.779727</td>\n",
- " <td>0.655556</td>\n",
- " <td>0.832451</td>\n",
- " <td>0.733489</td>\n",
- " <td>0.629858</td>\n",
+ " <td>0.013800</td>\n",
+ " <td>0.077813</td>\n",
+ " <td>0.365879</td>\n",
+ " <td>0.779642</td>\n",
+ " <td>0.498035</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.579771</td>\n",
+ " <td>0.539021</td>\n",
+ " <td>0.558654</td>\n",
+ " <td>0.680314</td>\n",
+ " <td>0.726147</td>\n",
+ " <td>0.702484</td>\n",
+ " <td>0.339713</td>\n",
+ " <td>0.476510</td>\n",
+ " <td>0.396648</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.573684</td>\n",
+ " <td>0.643068</td>\n",
+ " <td>0.656667</td>\n",
+ " <td>0.751908</td>\n",
+ " <td>0.701068</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606018</td>\n",
" </tr>\n",
" <tr>\n",
" <td>65</td>\n",
- " <td>0.006900</td>\n",
- " <td>0.074874</td>\n",
- " <td>0.395538</td>\n",
- " <td>0.930247</td>\n",
- " <td>0.555064</td>\n",
- " <td>0.620600</td>\n",
- " <td>0.804054</td>\n",
- " <td>0.700515</td>\n",
- " <td>0.166840</td>\n",
- " <td>0.675105</td>\n",
- " <td>0.267559</td>\n",
- " <td>0.806209</td>\n",
- " <td>0.808970</td>\n",
- " <td>0.807587</td>\n",
- " <td>0.535885</td>\n",
- " <td>0.643678</td>\n",
- " <td>0.584856</td>\n",
- " <td>0.442953</td>\n",
- " <td>0.929577</td>\n",
- " <td>0.600000</td>\n",
- " <td>0.690000</td>\n",
- " <td>0.911894</td>\n",
- " <td>0.785579</td>\n",
- " <td>0.669444</td>\n",
- " <td>0.778675</td>\n",
- " <td>0.719940</td>\n",
- " <td>0.627638</td>\n",
+ " <td>0.013800</td>\n",
+ " <td>0.077764</td>\n",
+ " <td>0.365879</td>\n",
+ " <td>0.779642</td>\n",
+ " <td>0.498035</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.579249</td>\n",
+ " <td>0.538797</td>\n",
+ " <td>0.558291</td>\n",
+ " <td>0.680314</td>\n",
+ " <td>0.724301</td>\n",
+ " <td>0.701619</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.490066</td>\n",
+ " <td>0.411111</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.571429</td>\n",
+ " <td>0.639053</td>\n",
+ " <td>0.656667</td>\n",
+ " <td>0.753346</td>\n",
+ " <td>0.701692</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.607249</td>\n",
" </tr>\n",
" <tr>\n",
" <td>66</td>\n",
- " <td>0.006900</td>\n",
- " <td>0.076945</td>\n",
- " <td>0.395276</td>\n",
- " <td>0.933086</td>\n",
- " <td>0.555310</td>\n",
- " <td>0.573664</td>\n",
- " <td>0.844530</td>\n",
- " <td>0.683230</td>\n",
- " <td>0.159020</td>\n",
- " <td>0.701149</td>\n",
- " <td>0.259244</td>\n",
- " <td>0.831798</td>\n",
- " <td>0.787977</td>\n",
- " <td>0.809295</td>\n",
- " <td>0.555024</td>\n",
- " <td>0.623656</td>\n",
- " <td>0.587342</td>\n",
- " <td>0.442953</td>\n",
- " <td>0.929577</td>\n",
- " <td>0.600000</td>\n",
- " <td>0.681667</td>\n",
- " <td>0.904867</td>\n",
- " <td>0.777567</td>\n",
- " <td>0.663889</td>\n",
- " <td>0.822719</td>\n",
- " <td>0.734819</td>\n",
- " <td>0.625851</td>\n",
+ " <td>0.013800</td>\n",
+ " <td>0.078215</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524506</td>\n",
+ " <td>0.632124</td>\n",
+ " <td>0.578206</td>\n",
+ " <td>0.538350</td>\n",
+ " <td>0.557567</td>\n",
+ " <td>0.680314</td>\n",
+ " <td>0.726147</td>\n",
+ " <td>0.702484</td>\n",
+ " <td>0.344498</td>\n",
+ " <td>0.486486</td>\n",
+ " <td>0.403361</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.574468</td>\n",
+ " <td>0.640950</td>\n",
+ " <td>0.656667</td>\n",
+ " <td>0.753346</td>\n",
+ " <td>0.701692</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606341</td>\n",
" </tr>\n",
" <tr>\n",
" <td>67</td>\n",
- " <td>0.006900</td>\n",
- " <td>0.079016</td>\n",
- " <td>0.375591</td>\n",
- " <td>0.945178</td>\n",
- " <td>0.537566</td>\n",
- " <td>0.588005</td>\n",
- " <td>0.844569</td>\n",
- " <td>0.693313</td>\n",
- " <td>0.166840</td>\n",
- " <td>0.694143</td>\n",
- " <td>0.269021</td>\n",
- " <td>0.835892</td>\n",
- " <td>0.784502</td>\n",
- " <td>0.809382</td>\n",
- " <td>0.564593</td>\n",
- " <td>0.627660</td>\n",
- " <td>0.594458</td>\n",
- " <td>0.442953</td>\n",
- " <td>0.929577</td>\n",
- " <td>0.600000</td>\n",
- " <td>0.696667</td>\n",
- " <td>0.854806</td>\n",
- " <td>0.767677</td>\n",
- " <td>0.665278</td>\n",
- " <td>0.823024</td>\n",
- " <td>0.735791</td>\n",
- " <td>0.625901</td>\n",
+ " <td>0.013800</td>\n",
+ " <td>0.078549</td>\n",
+ " <td>0.365617</td>\n",
+ " <td>0.779519</td>\n",
+ " <td>0.497767</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682361</td>\n",
+ " <td>0.726744</td>\n",
+ " <td>0.703854</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.483660</td>\n",
+ " <td>0.408840</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.590164</td>\n",
+ " <td>0.650602</td>\n",
+ " <td>0.656667</td>\n",
+ " <td>0.751908</td>\n",
+ " <td>0.701068</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.608667</td>\n",
" </tr>\n",
" <tr>\n",
" <td>68</td>\n",
- " <td>0.006900</td>\n",
- " <td>0.076534</td>\n",
- " <td>0.382940</td>\n",
- " <td>0.944948</td>\n",
- " <td>0.545013</td>\n",
- " <td>0.582790</td>\n",
- " <td>0.841808</td>\n",
- " <td>0.688752</td>\n",
- " <td>0.157977</td>\n",
- " <td>0.668874</td>\n",
- " <td>0.255588</td>\n",
- " <td>0.874446</td>\n",
- " <td>0.743977</td>\n",
- " <td>0.803952</td>\n",
- " <td>0.550239</td>\n",
- " <td>0.696970</td>\n",
- " <td>0.614973</td>\n",
- " <td>0.449664</td>\n",
- " <td>0.930556</td>\n",
- " <td>0.606335</td>\n",
- " <td>0.680000</td>\n",
- " <td>0.858947</td>\n",
- " <td>0.759070</td>\n",
- " <td>0.683333</td>\n",
- " <td>0.813223</td>\n",
- " <td>0.742642</td>\n",
- " <td>0.627041</td>\n",
+ " <td>0.013800</td>\n",
+ " <td>0.078649</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.325359</td>\n",
+ " <td>0.468966</td>\n",
+ " <td>0.384181</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.568421</td>\n",
+ " <td>0.637168</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.603480</td>\n",
" </tr>\n",
" <tr>\n",
" <td>69</td>\n",
- " <td>0.006900</td>\n",
- " <td>0.079277</td>\n",
- " <td>0.379003</td>\n",
- " <td>0.941330</td>\n",
- " <td>0.540419</td>\n",
- " <td>0.616688</td>\n",
- " <td>0.824042</td>\n",
- " <td>0.705444</td>\n",
- " <td>0.154849</td>\n",
- " <td>0.697183</td>\n",
- " <td>0.253413</td>\n",
- " <td>0.807574</td>\n",
- " <td>0.801286</td>\n",
- " <td>0.804418</td>\n",
- " <td>0.540670</td>\n",
- " <td>0.668639</td>\n",
- " <td>0.597884</td>\n",
- " <td>0.483221</td>\n",
- " <td>0.923077</td>\n",
- " <td>0.634361</td>\n",
- " <td>0.645000</td>\n",
- " <td>0.900000</td>\n",
- " <td>0.751456</td>\n",
- " <td>0.641667</td>\n",
- " <td>0.853974</td>\n",
- " <td>0.732752</td>\n",
- " <td>0.627518</td>\n",
+ " <td>0.013800</td>\n",
+ " <td>0.079316</td>\n",
+ " <td>0.363780</td>\n",
+ " <td>0.778652</td>\n",
+ " <td>0.495886</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.685090</td>\n",
+ " <td>0.725696</td>\n",
+ " <td>0.704809</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.477419</td>\n",
+ " <td>0.406593</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.565445</td>\n",
+ " <td>0.635294</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606212</td>\n",
" </tr>\n",
" <tr>\n",
" <td>70</td>\n",
- " <td>0.006300</td>\n",
- " <td>0.078259</td>\n",
- " <td>0.386352</td>\n",
- " <td>0.939375</td>\n",
- " <td>0.547517</td>\n",
- " <td>0.598435</td>\n",
- " <td>0.833031</td>\n",
- " <td>0.696510</td>\n",
- " <td>0.177789</td>\n",
- " <td>0.695918</td>\n",
- " <td>0.283223</td>\n",
- " <td>0.839645</td>\n",
- " <td>0.784257</td>\n",
- " <td>0.811007</td>\n",
- " <td>0.516746</td>\n",
- " <td>0.658537</td>\n",
- " <td>0.579088</td>\n",
- " <td>0.456376</td>\n",
- " <td>0.931507</td>\n",
- " <td>0.612613</td>\n",
- " <td>0.650000</td>\n",
- " <td>0.896552</td>\n",
- " <td>0.753623</td>\n",
+ " <td>0.011300</td>\n",
+ " <td>0.078947</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.477419</td>\n",
+ " <td>0.406593</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.562500</td>\n",
+ " <td>0.633431</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
" <td>0.640278</td>\n",
- " <td>0.847426</td>\n",
- " <td>0.729430</td>\n",
- " <td>0.626626</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.605814</td>\n",
" </tr>\n",
" <tr>\n",
" <td>71</td>\n",
- " <td>0.006300</td>\n",
- " <td>0.078232</td>\n",
- " <td>0.385827</td>\n",
- " <td>0.939297</td>\n",
- " <td>0.546977</td>\n",
- " <td>0.631030</td>\n",
- " <td>0.794745</td>\n",
- " <td>0.703488</td>\n",
- " <td>0.151199</td>\n",
- " <td>0.695444</td>\n",
- " <td>0.248394</td>\n",
- " <td>0.822927</td>\n",
- " <td>0.793160</td>\n",
- " <td>0.807770</td>\n",
- " <td>0.545455</td>\n",
- " <td>0.662791</td>\n",
- " <td>0.598425</td>\n",
- " <td>0.510067</td>\n",
- " <td>0.894118</td>\n",
- " <td>0.649573</td>\n",
- " <td>0.658333</td>\n",
- " <td>0.877778</td>\n",
- " <td>0.752381</td>\n",
- " <td>0.662500</td>\n",
- " <td>0.832461</td>\n",
- " <td>0.737819</td>\n",
- " <td>0.630603</td>\n",
+ " <td>0.011300</td>\n",
+ " <td>0.079668</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.537681</td>\n",
+ " <td>0.558175</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.721861</td>\n",
+ " <td>0.701736</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.477419</td>\n",
+ " <td>0.406593</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.565445</td>\n",
+ " <td>0.635294</td>\n",
+ " <td>0.643333</td>\n",
+ " <td>0.748062</td>\n",
+ " <td>0.691756</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.604738</td>\n",
" </tr>\n",
" <tr>\n",
" <td>72</td>\n",
- " <td>0.006300</td>\n",
- " <td>0.077648</td>\n",
- " <td>0.393701</td>\n",
- " <td>0.935162</td>\n",
- " <td>0.554119</td>\n",
- " <td>0.610169</td>\n",
- " <td>0.819615</td>\n",
- " <td>0.699552</td>\n",
- " <td>0.157456</td>\n",
- " <td>0.694253</td>\n",
- " <td>0.256694</td>\n",
- " <td>0.822927</td>\n",
- " <td>0.790301</td>\n",
- " <td>0.806284</td>\n",
- " <td>0.545455</td>\n",
- " <td>0.662791</td>\n",
- " <td>0.598425</td>\n",
- " <td>0.449664</td>\n",
- " <td>0.917808</td>\n",
- " <td>0.603604</td>\n",
- " <td>0.658333</td>\n",
- " <td>0.879733</td>\n",
- " <td>0.753098</td>\n",
- " <td>0.676389</td>\n",
- " <td>0.822635</td>\n",
- " <td>0.742378</td>\n",
- " <td>0.626769</td>\n",
+ " <td>0.011300</td>\n",
+ " <td>0.080104</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.537681</td>\n",
+ " <td>0.558175</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.721861</td>\n",
+ " <td>0.701736</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.477419</td>\n",
+ " <td>0.406593</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.574468</td>\n",
+ " <td>0.640950</td>\n",
+ " <td>0.636667</td>\n",
+ " <td>0.746094</td>\n",
+ " <td>0.687050</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.604856</td>\n",
" </tr>\n",
" <tr>\n",
" <td>73</td>\n",
- " <td>0.006300</td>\n",
- " <td>0.077358</td>\n",
- " <td>0.397375</td>\n",
- " <td>0.933991</td>\n",
- " <td>0.557540</td>\n",
- " <td>0.608866</td>\n",
- " <td>0.828014</td>\n",
- " <td>0.701728</td>\n",
- " <td>0.178311</td>\n",
- " <td>0.697959</td>\n",
- " <td>0.284053</td>\n",
- " <td>0.819174</td>\n",
- " <td>0.792671</td>\n",
- " <td>0.805705</td>\n",
- " <td>0.569378</td>\n",
- " <td>0.646739</td>\n",
- " <td>0.605598</td>\n",
- " <td>0.456376</td>\n",
- " <td>0.906667</td>\n",
- " <td>0.607143</td>\n",
- " <td>0.671667</td>\n",
- " <td>0.859275</td>\n",
- " <td>0.753976</td>\n",
- " <td>0.679167</td>\n",
- " <td>0.806931</td>\n",
- " <td>0.737557</td>\n",
- " <td>0.631662</td>\n",
+ " <td>0.011300</td>\n",
+ " <td>0.079995</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.537681</td>\n",
+ " <td>0.558175</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.723166</td>\n",
+ " <td>0.702352</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.477419</td>\n",
+ " <td>0.406593</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.564767</td>\n",
+ " <td>0.637427</td>\n",
+ " <td>0.645000</td>\n",
+ " <td>0.748549</td>\n",
+ " <td>0.692927</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.605228</td>\n",
" </tr>\n",
" <tr>\n",
" <td>74</td>\n",
- " <td>0.006300</td>\n",
- " <td>0.077561</td>\n",
- " <td>0.404462</td>\n",
- " <td>0.932809</td>\n",
- " <td>0.564262</td>\n",
- " <td>0.610169</td>\n",
- " <td>0.826855</td>\n",
- " <td>0.702176</td>\n",
- " <td>0.175182</td>\n",
- " <td>0.684318</td>\n",
- " <td>0.278954</td>\n",
- " <td>0.817468</td>\n",
- " <td>0.796278</td>\n",
- " <td>0.806734</td>\n",
- " <td>0.540670</td>\n",
- " <td>0.653179</td>\n",
- " <td>0.591623</td>\n",
- " <td>0.456376</td>\n",
- " <td>0.918919</td>\n",
- " <td>0.609865</td>\n",
- " <td>0.665000</td>\n",
- " <td>0.880795</td>\n",
- " <td>0.757835</td>\n",
- " <td>0.672222</td>\n",
- " <td>0.823129</td>\n",
- " <td>0.740061</td>\n",
- " <td>0.631439</td>\n",
+ " <td>0.011300</td>\n",
+ " <td>0.080394</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.537681</td>\n",
+ " <td>0.558175</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.723427</td>\n",
+ " <td>0.702475</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.486842</td>\n",
+ " <td>0.409972</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.564767</td>\n",
+ " <td>0.637427</td>\n",
+ " <td>0.645000</td>\n",
+ " <td>0.748549</td>\n",
+ " <td>0.692927</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.605665</td>\n",
" </tr>\n",
" <tr>\n",
" <td>75</td>\n",
- " <td>0.006300</td>\n",
- " <td>0.078310</td>\n",
- " <td>0.405512</td>\n",
- " <td>0.931284</td>\n",
- " <td>0.565003</td>\n",
- " <td>0.608866</td>\n",
- " <td>0.826549</td>\n",
- " <td>0.701201</td>\n",
- " <td>0.163191</td>\n",
- " <td>0.681917</td>\n",
- " <td>0.263357</td>\n",
- " <td>0.806892</td>\n",
- " <td>0.799797</td>\n",
- " <td>0.803329</td>\n",
- " <td>0.535885</td>\n",
- " <td>0.654971</td>\n",
- " <td>0.589474</td>\n",
- " <td>0.449664</td>\n",
- " <td>0.905405</td>\n",
- " <td>0.600897</td>\n",
- " <td>0.661667</td>\n",
- " <td>0.880266</td>\n",
- " <td>0.755471</td>\n",
- " <td>0.673611</td>\n",
- " <td>0.827645</td>\n",
- " <td>0.742726</td>\n",
- " <td>0.627682</td>\n",
+ " <td>0.011300</td>\n",
+ " <td>0.080158</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.540554</td>\n",
+ " <td>0.559718</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.724737</td>\n",
+ " <td>0.703092</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.477419</td>\n",
+ " <td>0.406593</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.567708</td>\n",
+ " <td>0.639296</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.744318</td>\n",
+ " <td>0.696809</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606232</td>\n",
" </tr>\n",
" <tr>\n",
" <td>76</td>\n",
- " <td>0.006300</td>\n",
- " <td>0.078413</td>\n",
- " <td>0.408399</td>\n",
- " <td>0.928955</td>\n",
- " <td>0.567366</td>\n",
- " <td>0.611473</td>\n",
- " <td>0.827160</td>\n",
- " <td>0.703148</td>\n",
- " <td>0.168405</td>\n",
- " <td>0.682875</td>\n",
- " <td>0.270180</td>\n",
- " <td>0.802798</td>\n",
- " <td>0.801431</td>\n",
- " <td>0.802114</td>\n",
- " <td>0.516746</td>\n",
- " <td>0.650602</td>\n",
- " <td>0.576000</td>\n",
- " <td>0.456376</td>\n",
- " <td>0.906667</td>\n",
- " <td>0.607143</td>\n",
- " <td>0.670000</td>\n",
- " <td>0.872017</td>\n",
- " <td>0.757776</td>\n",
- " <td>0.675000</td>\n",
- " <td>0.835052</td>\n",
- " <td>0.746544</td>\n",
- " <td>0.628784</td>\n",
+ " <td>0.011300</td>\n",
+ " <td>0.080787</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539506</td>\n",
+ " <td>0.559156</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.723166</td>\n",
+ " <td>0.702352</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.565445</td>\n",
+ " <td>0.635294</td>\n",
+ " <td>0.645000</td>\n",
+ " <td>0.748549</td>\n",
+ " <td>0.692927</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.604944</td>\n",
" </tr>\n",
" <tr>\n",
" <td>77</td>\n",
- " <td>0.005000</td>\n",
- " <td>0.078019</td>\n",
- " <td>0.405512</td>\n",
- " <td>0.930163</td>\n",
- " <td>0.564796</td>\n",
- " <td>0.608866</td>\n",
- " <td>0.838420</td>\n",
- " <td>0.705438</td>\n",
- " <td>0.171011</td>\n",
- " <td>0.679089</td>\n",
- " <td>0.273219</td>\n",
- " <td>0.816786</td>\n",
- " <td>0.794821</td>\n",
- " <td>0.805654</td>\n",
- " <td>0.540670</td>\n",
- " <td>0.664706</td>\n",
- " <td>0.596306</td>\n",
- " <td>0.463087</td>\n",
- " <td>0.920000</td>\n",
- " <td>0.616071</td>\n",
- " <td>0.673333</td>\n",
- " <td>0.866953</td>\n",
- " <td>0.757974</td>\n",
- " <td>0.676389</td>\n",
- " <td>0.818487</td>\n",
- " <td>0.740684</td>\n",
- " <td>0.632518</td>\n",
+ " <td>0.011300</td>\n",
+ " <td>0.080670</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.538983</td>\n",
+ " <td>0.558875</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.724737</td>\n",
+ " <td>0.703092</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.477419</td>\n",
+ " <td>0.406593</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.562500</td>\n",
+ " <td>0.633431</td>\n",
+ " <td>0.653333</td>\n",
+ " <td>0.750958</td>\n",
+ " <td>0.698752</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.605636</td>\n",
" </tr>\n",
" <tr>\n",
" <td>78</td>\n",
- " <td>0.005000</td>\n",
- " <td>0.077703</td>\n",
- " <td>0.407612</td>\n",
- " <td>0.930497</td>\n",
- " <td>0.566892</td>\n",
- " <td>0.615385</td>\n",
- " <td>0.832451</td>\n",
- " <td>0.707646</td>\n",
- " <td>0.172576</td>\n",
- " <td>0.678279</td>\n",
- " <td>0.275145</td>\n",
- " <td>0.822927</td>\n",
- " <td>0.788751</td>\n",
- " <td>0.805477</td>\n",
- " <td>0.531100</td>\n",
- " <td>0.656805</td>\n",
- " <td>0.587302</td>\n",
- " <td>0.463087</td>\n",
- " <td>0.920000</td>\n",
- " <td>0.616071</td>\n",
- " <td>0.671667</td>\n",
- " <td>0.866667</td>\n",
- " <td>0.756808</td>\n",
- " <td>0.668056</td>\n",
- " <td>0.836522</td>\n",
- " <td>0.742857</td>\n",
- " <td>0.632275</td>\n",
+ " <td>0.011300</td>\n",
+ " <td>0.081048</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524506</td>\n",
+ " <td>0.632124</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.562500</td>\n",
+ " <td>0.633431</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.605716</td>\n",
" </tr>\n",
" <tr>\n",
" <td>79</td>\n",
- " <td>0.005000</td>\n",
- " <td>0.078168</td>\n",
- " <td>0.410499</td>\n",
- " <td>0.930399</td>\n",
- " <td>0.569659</td>\n",
- " <td>0.607562</td>\n",
- " <td>0.838129</td>\n",
- " <td>0.704460</td>\n",
- " <td>0.165276</td>\n",
- " <td>0.678801</td>\n",
- " <td>0.265828</td>\n",
- " <td>0.826339</td>\n",
- " <td>0.788411</td>\n",
- " <td>0.806930</td>\n",
- " <td>0.516746</td>\n",
- " <td>0.654545</td>\n",
- " <td>0.577540</td>\n",
- " <td>0.449664</td>\n",
- " <td>0.917808</td>\n",
- " <td>0.603604</td>\n",
- " <td>0.660000</td>\n",
- " <td>0.881960</td>\n",
- " <td>0.755005</td>\n",
- " <td>0.676389</td>\n",
- " <td>0.844021</td>\n",
- " <td>0.750964</td>\n",
- " <td>0.629249</td>\n",
+ " <td>0.011300</td>\n",
+ " <td>0.081030</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.724832</td>\n",
+ " <td>0.565445</td>\n",
+ " <td>0.635294</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.605908</td>\n",
" </tr>\n",
" <tr>\n",
" <td>80</td>\n",
- " <td>0.005000</td>\n",
- " <td>0.078695</td>\n",
- " <td>0.409449</td>\n",
- " <td>0.930233</td>\n",
- " <td>0.568617</td>\n",
- " <td>0.611473</td>\n",
- " <td>0.838998</td>\n",
- " <td>0.707391</td>\n",
- " <td>0.168405</td>\n",
- " <td>0.675732</td>\n",
- " <td>0.269616</td>\n",
- " <td>0.816786</td>\n",
- " <td>0.799599</td>\n",
- " <td>0.808101</td>\n",
- " <td>0.521531</td>\n",
- " <td>0.652695</td>\n",
- " <td>0.579787</td>\n",
- " <td>0.476510</td>\n",
- " <td>0.922078</td>\n",
- " <td>0.628319</td>\n",
- " <td>0.658333</td>\n",
- " <td>0.885650</td>\n",
- " <td>0.755258</td>\n",
- " <td>0.662500</td>\n",
- " <td>0.847247</td>\n",
- " <td>0.743570</td>\n",
- " <td>0.632582</td>\n",
+ " <td>0.009600</td>\n",
+ " <td>0.081399</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.567708</td>\n",
+ " <td>0.639296</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606408</td>\n",
" </tr>\n",
" <tr>\n",
" <td>81</td>\n",
- " <td>0.005000</td>\n",
- " <td>0.079567</td>\n",
- " <td>0.403937</td>\n",
- " <td>0.931598</td>\n",
- " <td>0.563530</td>\n",
- " <td>0.606258</td>\n",
- " <td>0.840868</td>\n",
- " <td>0.704545</td>\n",
- " <td>0.159020</td>\n",
- " <td>0.688488</td>\n",
- " <td>0.258365</td>\n",
- " <td>0.817810</td>\n",
- " <td>0.800067</td>\n",
- " <td>0.808841</td>\n",
- " <td>0.526316</td>\n",
- " <td>0.650888</td>\n",
- " <td>0.582011</td>\n",
- " <td>0.469799</td>\n",
- " <td>0.921053</td>\n",
- " <td>0.622222</td>\n",
- " <td>0.658333</td>\n",
- " <td>0.889640</td>\n",
- " <td>0.756705</td>\n",
- " <td>0.661111</td>\n",
- " <td>0.848485</td>\n",
- " <td>0.743169</td>\n",
- " <td>0.629924</td>\n",
+ " <td>0.009600</td>\n",
+ " <td>0.081505</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.567708</td>\n",
+ " <td>0.639296</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606408</td>\n",
" </tr>\n",
" <tr>\n",
" <td>82</td>\n",
- " <td>0.005000</td>\n",
- " <td>0.079116</td>\n",
- " <td>0.406562</td>\n",
- " <td>0.932010</td>\n",
- " <td>0.566155</td>\n",
- " <td>0.606258</td>\n",
- " <td>0.839350</td>\n",
- " <td>0.704012</td>\n",
- " <td>0.163191</td>\n",
- " <td>0.690949</td>\n",
- " <td>0.264024</td>\n",
- " <td>0.824974</td>\n",
- " <td>0.795133</td>\n",
- " <td>0.809779</td>\n",
- " <td>0.521531</td>\n",
- " <td>0.652695</td>\n",
- " <td>0.579787</td>\n",
- " <td>0.469799</td>\n",
- " <td>0.921053</td>\n",
- " <td>0.622222</td>\n",
- " <td>0.663333</td>\n",
- " <td>0.890380</td>\n",
- " <td>0.760267</td>\n",
- " <td>0.652778</td>\n",
- " <td>0.849910</td>\n",
- " <td>0.738413</td>\n",
- " <td>0.630582</td>\n",
+ " <td>0.009600</td>\n",
+ " <td>0.081590</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.567708</td>\n",
+ " <td>0.639296</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606408</td>\n",
" </tr>\n",
" <tr>\n",
" <td>83</td>\n",
- " <td>0.005000</td>\n",
- " <td>0.079035</td>\n",
- " <td>0.411024</td>\n",
- " <td>0.929929</td>\n",
- " <td>0.570076</td>\n",
- " <td>0.604954</td>\n",
- " <td>0.840580</td>\n",
- " <td>0.703563</td>\n",
- " <td>0.165276</td>\n",
- " <td>0.692140</td>\n",
- " <td>0.266835</td>\n",
- " <td>0.821563</td>\n",
- " <td>0.796296</td>\n",
- " <td>0.808732</td>\n",
- " <td>0.531100</td>\n",
- " <td>0.656805</td>\n",
- " <td>0.587302</td>\n",
- " <td>0.483221</td>\n",
- " <td>0.923077</td>\n",
- " <td>0.634361</td>\n",
- " <td>0.663333</td>\n",
- " <td>0.888393</td>\n",
- " <td>0.759542</td>\n",
- " <td>0.655556</td>\n",
- " <td>0.848921</td>\n",
- " <td>0.739812</td>\n",
- " <td>0.633778</td>\n",
+ " <td>0.009600</td>\n",
+ " <td>0.081803</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.567708</td>\n",
+ " <td>0.639296</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606408</td>\n",
" </tr>\n",
" <tr>\n",
" <td>84</td>\n",
- " <td>0.005000</td>\n",
- " <td>0.079356</td>\n",
- " <td>0.409711</td>\n",
- " <td>0.930829</td>\n",
- " <td>0.568981</td>\n",
- " <td>0.606258</td>\n",
- " <td>0.840868</td>\n",
- " <td>0.704545</td>\n",
- " <td>0.164755</td>\n",
- " <td>0.692982</td>\n",
- " <td>0.266217</td>\n",
- " <td>0.819174</td>\n",
- " <td>0.796880</td>\n",
- " <td>0.807873</td>\n",
- " <td>0.531100</td>\n",
- " <td>0.656805</td>\n",
- " <td>0.587302</td>\n",
- " <td>0.516779</td>\n",
- " <td>0.916667</td>\n",
- " <td>0.660944</td>\n",
- " <td>0.665000</td>\n",
- " <td>0.890625</td>\n",
- " <td>0.761450</td>\n",
- " <td>0.654167</td>\n",
- " <td>0.848649</td>\n",
- " <td>0.738824</td>\n",
- " <td>0.637017</td>\n",
+ " <td>0.009600</td>\n",
+ " <td>0.081724</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.567708</td>\n",
+ " <td>0.639296</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606408</td>\n",
" </tr>\n",
" <tr>\n",
" <td>85</td>\n",
- " <td>0.004500</td>\n",
- " <td>0.079107</td>\n",
- " <td>0.411024</td>\n",
- " <td>0.929377</td>\n",
- " <td>0.569973</td>\n",
- " <td>0.614081</td>\n",
- " <td>0.833628</td>\n",
- " <td>0.707207</td>\n",
- " <td>0.160063</td>\n",
- " <td>0.686801</td>\n",
- " <td>0.259619</td>\n",
- " <td>0.817127</td>\n",
- " <td>0.798067</td>\n",
- " <td>0.807485</td>\n",
- " <td>0.540670</td>\n",
- " <td>0.653179</td>\n",
- " <td>0.591623</td>\n",
- " <td>0.510067</td>\n",
- " <td>0.915663</td>\n",
- " <td>0.655172</td>\n",
- " <td>0.683333</td>\n",
- " <td>0.866808</td>\n",
- " <td>0.764212</td>\n",
- " <td>0.654167</td>\n",
- " <td>0.853261</td>\n",
- " <td>0.740566</td>\n",
- " <td>0.636982</td>\n",
+ " <td>0.009600</td>\n",
+ " <td>0.081992</td>\n",
+ " <td>0.364304</td>\n",
+ " <td>0.778900</td>\n",
+ " <td>0.496423</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.480519</td>\n",
+ " <td>0.407713</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.567708</td>\n",
+ " <td>0.639296</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606721</td>\n",
" </tr>\n",
" <tr>\n",
" <td>86</td>\n",
- " <td>0.004500</td>\n",
- " <td>0.079421</td>\n",
- " <td>0.409974</td>\n",
- " <td>0.928656</td>\n",
- " <td>0.568827</td>\n",
- " <td>0.608866</td>\n",
- " <td>0.839928</td>\n",
- " <td>0.705971</td>\n",
- " <td>0.159020</td>\n",
- " <td>0.693182</td>\n",
- " <td>0.258694</td>\n",
- " <td>0.819174</td>\n",
- " <td>0.800333</td>\n",
- " <td>0.809644</td>\n",
- " <td>0.531100</td>\n",
- " <td>0.652941</td>\n",
- " <td>0.585752</td>\n",
- " <td>0.510067</td>\n",
- " <td>0.904762</td>\n",
- " <td>0.652361</td>\n",
- " <td>0.685000</td>\n",
- " <td>0.867089</td>\n",
- " <td>0.765363</td>\n",
- " <td>0.658333</td>\n",
- " <td>0.838938</td>\n",
- " <td>0.737743</td>\n",
- " <td>0.635544</td>\n",
+ " <td>0.009600</td>\n",
+ " <td>0.082116</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.683043</td>\n",
+ " <td>0.725100</td>\n",
+ " <td>0.703443</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.483660</td>\n",
+ " <td>0.408840</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.567708</td>\n",
+ " <td>0.639296</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606857</td>\n",
" </tr>\n",
" <tr>\n",
" <td>87</td>\n",
- " <td>0.004500</td>\n",
- " <td>0.079341</td>\n",
- " <td>0.408399</td>\n",
- " <td>0.930622</td>\n",
- " <td>0.567676</td>\n",
- " <td>0.616688</td>\n",
- " <td>0.829825</td>\n",
- " <td>0.707554</td>\n",
- " <td>0.157977</td>\n",
- " <td>0.690205</td>\n",
- " <td>0.257106</td>\n",
- " <td>0.828727</td>\n",
- " <td>0.794570</td>\n",
- " <td>0.811289</td>\n",
- " <td>0.526316</td>\n",
- " <td>0.643275</td>\n",
- " <td>0.578947</td>\n",
- " <td>0.503356</td>\n",
- " <td>0.914634</td>\n",
- " <td>0.649351</td>\n",
- " <td>0.673333</td>\n",
- " <td>0.880174</td>\n",
- " <td>0.762984</td>\n",
- " <td>0.661111</td>\n",
- " <td>0.835088</td>\n",
- " <td>0.737984</td>\n",
- " <td>0.634112</td>\n",
+ " <td>0.009600</td>\n",
+ " <td>0.082274</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.567708</td>\n",
+ " <td>0.639296</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606408</td>\n",
" </tr>\n",
" <tr>\n",
" <td>88</td>\n",
- " <td>0.004500</td>\n",
- " <td>0.079288</td>\n",
- " <td>0.408399</td>\n",
- " <td>0.931179</td>\n",
- " <td>0.567780</td>\n",
- " <td>0.616688</td>\n",
- " <td>0.826923</td>\n",
- " <td>0.706497</td>\n",
- " <td>0.161105</td>\n",
- " <td>0.691275</td>\n",
- " <td>0.261311</td>\n",
- " <td>0.827704</td>\n",
- " <td>0.795410</td>\n",
- " <td>0.811236</td>\n",
- " <td>0.531100</td>\n",
- " <td>0.645349</td>\n",
- " <td>0.582677</td>\n",
- " <td>0.503356</td>\n",
- " <td>0.903614</td>\n",
- " <td>0.646552</td>\n",
- " <td>0.673333</td>\n",
- " <td>0.884026</td>\n",
- " <td>0.764428</td>\n",
- " <td>0.661111</td>\n",
- " <td>0.839506</td>\n",
- " <td>0.739705</td>\n",
- " <td>0.635023</td>\n",
+ " <td>0.009600</td>\n",
+ " <td>0.082385</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.570681</td>\n",
+ " <td>0.641176</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606643</td>\n",
" </tr>\n",
" <tr>\n",
" <td>89</td>\n",
- " <td>0.004500</td>\n",
- " <td>0.079334</td>\n",
- " <td>0.408399</td>\n",
- " <td>0.930622</td>\n",
- " <td>0.567676</td>\n",
- " <td>0.617992</td>\n",
- " <td>0.830123</td>\n",
- " <td>0.708520</td>\n",
- " <td>0.167883</td>\n",
- " <td>0.695464</td>\n",
- " <td>0.270475</td>\n",
- " <td>0.830092</td>\n",
- " <td>0.793025</td>\n",
- " <td>0.811135</td>\n",
- " <td>0.531100</td>\n",
- " <td>0.637931</td>\n",
- " <td>0.579634</td>\n",
- " <td>0.503356</td>\n",
- " <td>0.903614</td>\n",
- " <td>0.646552</td>\n",
- " <td>0.670000</td>\n",
- " <td>0.883516</td>\n",
- " <td>0.762085</td>\n",
- " <td>0.661111</td>\n",
- " <td>0.838028</td>\n",
- " <td>0.739130</td>\n",
- " <td>0.635651</td>\n",
+ " <td>0.009600</td>\n",
+ " <td>0.082526</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.570681</td>\n",
+ " <td>0.641176</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606643</td>\n",
" </tr>\n",
" <tr>\n",
" <td>90</td>\n",
- " <td>0.004500</td>\n",
- " <td>0.079473</td>\n",
- " <td>0.407874</td>\n",
- " <td>0.930539</td>\n",
- " <td>0.567153</td>\n",
- " <td>0.617992</td>\n",
- " <td>0.830123</td>\n",
- " <td>0.708520</td>\n",
- " <td>0.165798</td>\n",
- " <td>0.691304</td>\n",
- " <td>0.267452</td>\n",
- " <td>0.825998</td>\n",
- " <td>0.795074</td>\n",
- " <td>0.810241</td>\n",
- " <td>0.531100</td>\n",
- " <td>0.645349</td>\n",
- " <td>0.582677</td>\n",
- " <td>0.510067</td>\n",
- " <td>0.904762</td>\n",
- " <td>0.652361</td>\n",
- " <td>0.671667</td>\n",
- " <td>0.885714</td>\n",
- " <td>0.763981</td>\n",
- " <td>0.662500</td>\n",
- " <td>0.835377</td>\n",
- " <td>0.738962</td>\n",
- " <td>0.636418</td>\n",
+ " <td>0.008700</td>\n",
+ " <td>0.082527</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.570681</td>\n",
+ " <td>0.641176</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606643</td>\n",
" </tr>\n",
" <tr>\n",
" <td>91</td>\n",
- " <td>0.004500</td>\n",
- " <td>0.079833</td>\n",
- " <td>0.407874</td>\n",
- " <td>0.930539</td>\n",
- " <td>0.567153</td>\n",
- " <td>0.617992</td>\n",
- " <td>0.835979</td>\n",
- " <td>0.710645</td>\n",
- " <td>0.163191</td>\n",
- " <td>0.694013</td>\n",
- " <td>0.264247</td>\n",
- " <td>0.824633</td>\n",
- " <td>0.797953</td>\n",
- " <td>0.811074</td>\n",
- " <td>0.526316</td>\n",
- " <td>0.647059</td>\n",
- " <td>0.580475</td>\n",
- " <td>0.510067</td>\n",
- " <td>0.904762</td>\n",
- " <td>0.652361</td>\n",
- " <td>0.671667</td>\n",
- " <td>0.883772</td>\n",
- " <td>0.763258</td>\n",
- " <td>0.661111</td>\n",
- " <td>0.835088</td>\n",
- " <td>0.737984</td>\n",
- " <td>0.635899</td>\n",
+ " <td>0.008700</td>\n",
+ " <td>0.082598</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.570681</td>\n",
+ " <td>0.641176</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606643</td>\n",
" </tr>\n",
" <tr>\n",
" <td>92</td>\n",
- " <td>0.004500</td>\n",
- " <td>0.080144</td>\n",
- " <td>0.408661</td>\n",
- " <td>0.930663</td>\n",
- " <td>0.567937</td>\n",
- " <td>0.612777</td>\n",
- " <td>0.842294</td>\n",
- " <td>0.709434</td>\n",
- " <td>0.160063</td>\n",
- " <td>0.702517</td>\n",
- " <td>0.260722</td>\n",
- " <td>0.822927</td>\n",
- " <td>0.797883</td>\n",
- " <td>0.810212</td>\n",
- " <td>0.521531</td>\n",
- " <td>0.644970</td>\n",
- " <td>0.576720</td>\n",
- " <td>0.510067</td>\n",
- " <td>0.904762</td>\n",
- " <td>0.652361</td>\n",
- " <td>0.671667</td>\n",
- " <td>0.887665</td>\n",
- " <td>0.764706</td>\n",
- " <td>0.661111</td>\n",
- " <td>0.838028</td>\n",
- " <td>0.739130</td>\n",
- " <td>0.635153</td>\n",
+ " <td>0.008700</td>\n",
+ " <td>0.082734</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.570681</td>\n",
+ " <td>0.641176</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606643</td>\n",
" </tr>\n",
" <tr>\n",
" <td>93</td>\n",
- " <td>0.004200</td>\n",
- " <td>0.080148</td>\n",
- " <td>0.407874</td>\n",
- " <td>0.929982</td>\n",
- " <td>0.567050</td>\n",
- " <td>0.608866</td>\n",
- " <td>0.841441</td>\n",
- " <td>0.706505</td>\n",
- " <td>0.160584</td>\n",
- " <td>0.701595</td>\n",
- " <td>0.261349</td>\n",
- " <td>0.824633</td>\n",
- " <td>0.797164</td>\n",
- " <td>0.810666</td>\n",
- " <td>0.521531</td>\n",
- " <td>0.644970</td>\n",
- " <td>0.576720</td>\n",
- " <td>0.510067</td>\n",
- " <td>0.904762</td>\n",
- " <td>0.652361</td>\n",
- " <td>0.670000</td>\n",
- " <td>0.889381</td>\n",
- " <td>0.764259</td>\n",
- " <td>0.659722</td>\n",
- " <td>0.843694</td>\n",
- " <td>0.740452</td>\n",
- " <td>0.634920</td>\n",
+ " <td>0.008700</td>\n",
+ " <td>0.082788</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.570681</td>\n",
+ " <td>0.641176</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606643</td>\n",
" </tr>\n",
" <tr>\n",
" <td>94</td>\n",
- " <td>0.004200</td>\n",
- " <td>0.080076</td>\n",
- " <td>0.407612</td>\n",
- " <td>0.932173</td>\n",
- " <td>0.567202</td>\n",
- " <td>0.606258</td>\n",
- " <td>0.839350</td>\n",
- " <td>0.704012</td>\n",
- " <td>0.162669</td>\n",
- " <td>0.694878</td>\n",
- " <td>0.263625</td>\n",
- " <td>0.832139</td>\n",
- " <td>0.791113</td>\n",
- " <td>0.811107</td>\n",
- " <td>0.521531</td>\n",
- " <td>0.644970</td>\n",
- " <td>0.576720</td>\n",
- " <td>0.496644</td>\n",
- " <td>0.913580</td>\n",
- " <td>0.643478</td>\n",
- " <td>0.670000</td>\n",
- " <td>0.887417</td>\n",
- " <td>0.763533</td>\n",
- " <td>0.658333</td>\n",
- " <td>0.838938</td>\n",
- " <td>0.737743</td>\n",
- " <td>0.633428</td>\n",
+ " <td>0.008700</td>\n",
+ " <td>0.082894</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.570681</td>\n",
+ " <td>0.641176</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606643</td>\n",
" </tr>\n",
" <tr>\n",
" <td>95</td>\n",
- " <td>0.004200</td>\n",
- " <td>0.080163</td>\n",
- " <td>0.409186</td>\n",
- " <td>0.931302</td>\n",
- " <td>0.568563</td>\n",
- " <td>0.603651</td>\n",
- " <td>0.840290</td>\n",
- " <td>0.702580</td>\n",
- " <td>0.160584</td>\n",
- " <td>0.689038</td>\n",
- " <td>0.260465</td>\n",
- " <td>0.831798</td>\n",
- " <td>0.790788</td>\n",
- " <td>0.810775</td>\n",
- " <td>0.531100</td>\n",
- " <td>0.652941</td>\n",
- " <td>0.585752</td>\n",
- " <td>0.483221</td>\n",
- " <td>0.911392</td>\n",
- " <td>0.631579</td>\n",
- " <td>0.670000</td>\n",
- " <td>0.885463</td>\n",
- " <td>0.762808</td>\n",
- " <td>0.655556</td>\n",
- " <td>0.842857</td>\n",
- " <td>0.737500</td>\n",
- " <td>0.632503</td>\n",
+ " <td>0.008700</td>\n",
+ " <td>0.082849</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.570681</td>\n",
+ " <td>0.641176</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606643</td>\n",
" </tr>\n",
" <tr>\n",
" <td>96</td>\n",
- " <td>0.004200</td>\n",
- " <td>0.080179</td>\n",
- " <td>0.409974</td>\n",
- " <td>0.929209</td>\n",
- " <td>0.568931</td>\n",
- " <td>0.602347</td>\n",
- " <td>0.844607</td>\n",
- " <td>0.703196</td>\n",
- " <td>0.160063</td>\n",
- " <td>0.691441</td>\n",
- " <td>0.259949</td>\n",
- " <td>0.831457</td>\n",
- " <td>0.793553</td>\n",
- " <td>0.812063</td>\n",
- " <td>0.526316</td>\n",
- " <td>0.654762</td>\n",
- " <td>0.583554</td>\n",
- " <td>0.476510</td>\n",
- " <td>0.910256</td>\n",
- " <td>0.625551</td>\n",
- " <td>0.670000</td>\n",
- " <td>0.885463</td>\n",
- " <td>0.762808</td>\n",
- " <td>0.654167</td>\n",
- " <td>0.842576</td>\n",
- " <td>0.736513</td>\n",
- " <td>0.631571</td>\n",
+ " <td>0.008700</td>\n",
+ " <td>0.082922</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.570681</td>\n",
+ " <td>0.641176</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606643</td>\n",
" </tr>\n",
" <tr>\n",
" <td>97</td>\n",
- " <td>0.004200</td>\n",
- " <td>0.080223</td>\n",
- " <td>0.409711</td>\n",
- " <td>0.929720</td>\n",
- " <td>0.568774</td>\n",
- " <td>0.602347</td>\n",
- " <td>0.844607</td>\n",
- " <td>0.703196</td>\n",
- " <td>0.160584</td>\n",
- " <td>0.690583</td>\n",
- " <td>0.260575</td>\n",
- " <td>0.831457</td>\n",
- " <td>0.794588</td>\n",
- " <td>0.812604</td>\n",
- " <td>0.531100</td>\n",
- " <td>0.656805</td>\n",
- " <td>0.587302</td>\n",
- " <td>0.483221</td>\n",
- " <td>0.911392</td>\n",
- " <td>0.631579</td>\n",
- " <td>0.671667</td>\n",
- " <td>0.885714</td>\n",
- " <td>0.763981</td>\n",
- " <td>0.655556</td>\n",
- " <td>0.842857</td>\n",
- " <td>0.737500</td>\n",
- " <td>0.633189</td>\n",
+ " <td>0.008700</td>\n",
+ " <td>0.082960</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.570681</td>\n",
+ " <td>0.641176</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606643</td>\n",
" </tr>\n",
" <tr>\n",
" <td>98</td>\n",
- " <td>0.004200</td>\n",
- " <td>0.080253</td>\n",
- " <td>0.409449</td>\n",
- " <td>0.929678</td>\n",
- " <td>0.568513</td>\n",
- " <td>0.602347</td>\n",
- " <td>0.843066</td>\n",
- " <td>0.702662</td>\n",
- " <td>0.161627</td>\n",
- " <td>0.690423</td>\n",
- " <td>0.261935</td>\n",
- " <td>0.831457</td>\n",
- " <td>0.795106</td>\n",
- " <td>0.812875</td>\n",
- " <td>0.535885</td>\n",
- " <td>0.658824</td>\n",
- " <td>0.591029</td>\n",
- " <td>0.483221</td>\n",
- " <td>0.911392</td>\n",
- " <td>0.631579</td>\n",
- " <td>0.671667</td>\n",
- " <td>0.881838</td>\n",
- " <td>0.762535</td>\n",
- " <td>0.656944</td>\n",
- " <td>0.843137</td>\n",
- " <td>0.738486</td>\n",
- " <td>0.633702</td>\n",
+ " <td>0.008700</td>\n",
+ " <td>0.082983</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.570681</td>\n",
+ " <td>0.641176</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606643</td>\n",
" </tr>\n",
" <tr>\n",
" <td>99</td>\n",
- " <td>0.004200</td>\n",
- " <td>0.080378</td>\n",
- " <td>0.408661</td>\n",
- " <td>0.930108</td>\n",
- " <td>0.567834</td>\n",
- " <td>0.602347</td>\n",
- " <td>0.841530</td>\n",
- " <td>0.702128</td>\n",
- " <td>0.161105</td>\n",
- " <td>0.689732</td>\n",
- " <td>0.261200</td>\n",
- " <td>0.829751</td>\n",
- " <td>0.795812</td>\n",
- " <td>0.812427</td>\n",
- " <td>0.531100</td>\n",
- " <td>0.652941</td>\n",
- " <td>0.585752</td>\n",
- " <td>0.483221</td>\n",
- " <td>0.911392</td>\n",
- " <td>0.631579</td>\n",
- " <td>0.673333</td>\n",
- " <td>0.882096</td>\n",
- " <td>0.763705</td>\n",
- " <td>0.656944</td>\n",
- " <td>0.844643</td>\n",
- " <td>0.739062</td>\n",
- " <td>0.632961</td>\n",
+ " <td>0.008700</td>\n",
+ " <td>0.082996</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.570681</td>\n",
+ " <td>0.641176</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606643</td>\n",
" </tr>\n",
" <tr>\n",
" <td>100</td>\n",
- " <td>0.004000</td>\n",
- " <td>0.080378</td>\n",
- " <td>0.408661</td>\n",
- " <td>0.930108</td>\n",
- " <td>0.567834</td>\n",
- " <td>0.603651</td>\n",
- " <td>0.841818</td>\n",
- " <td>0.703113</td>\n",
- " <td>0.161105</td>\n",
- " <td>0.689732</td>\n",
- " <td>0.261200</td>\n",
- " <td>0.829751</td>\n",
- " <td>0.796072</td>\n",
- " <td>0.812563</td>\n",
- " <td>0.531100</td>\n",
- " <td>0.652941</td>\n",
- " <td>0.585752</td>\n",
- " <td>0.483221</td>\n",
- " <td>0.911392</td>\n",
- " <td>0.631579</td>\n",
- " <td>0.673333</td>\n",
- " <td>0.882096</td>\n",
- " <td>0.763705</td>\n",
- " <td>0.656944</td>\n",
- " <td>0.844643</td>\n",
- " <td>0.739062</td>\n",
- " <td>0.633101</td>\n",
+ " <td>0.008300</td>\n",
+ " <td>0.083008</td>\n",
+ " <td>0.364042</td>\n",
+ " <td>0.778776</td>\n",
+ " <td>0.496155</td>\n",
+ " <td>0.795306</td>\n",
+ " <td>0.524055</td>\n",
+ " <td>0.631797</td>\n",
+ " <td>0.580292</td>\n",
+ " <td>0.539244</td>\n",
+ " <td>0.559016</td>\n",
+ " <td>0.682702</td>\n",
+ " <td>0.725000</td>\n",
+ " <td>0.703216</td>\n",
+ " <td>0.354067</td>\n",
+ " <td>0.474359</td>\n",
+ " <td>0.405479</td>\n",
+ " <td>0.731544</td>\n",
+ " <td>0.570681</td>\n",
+ " <td>0.641176</td>\n",
+ " <td>0.655000</td>\n",
+ " <td>0.751434</td>\n",
+ " <td>0.699911</td>\n",
+ " <td>0.640278</td>\n",
+ " <td>0.813051</td>\n",
+ " <td>0.716395</td>\n",
+ " <td>0.606643</td>\n",
" </tr>\n",
" </tbody>\n",
"</table><p>"
@@ -3529,10 +3625,10 @@
{
"data": {
"text/plain": [
- "TrainOutput(global_step=1300, training_loss=0.03139937967061997, metrics={'train_runtime': 560.5436, 'train_samples_per_second': 36.75, 'train_steps_per_second': 2.319, 'total_flos': 2691526921113600.0, 'train_loss': 0.03139937967061997, 'epoch': 100.0})"
+ "TrainOutput(global_step=1000, training_loss=0.04321237975358963, metrics={'train_runtime': 482.3968, 'train_samples_per_second': 32.96, 'train_steps_per_second': 2.073, 'total_flos': 2077440681830400.0, 'train_loss': 0.04321237975358963, 'epoch': 100.0})"
]
},
- "execution_count": 13,
+ "execution_count": 14,
"metadata": {},
"output_type": "execute_result"
}
@@ -3560,13 +3656,13 @@
},
{
"cell_type": "code",
- "execution_count": 22,
+ "execution_count": 15,
"id": "6b029310-5257-41d8-a5f7-3bbb2021ebae",
"metadata": {},
"outputs": [
{
"data": {
- "image/png": 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",
+ "image/png": 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",
"text/plain": [
"<Figure size 1000x500 with 1 Axes>"
]
@@ -3593,12 +3689,12 @@
},
{
"cell_type": "code",
- "execution_count": 15,
+ "execution_count": 20,
"id": "89c997e6a944bc70",
"metadata": {},
"outputs": [],
"source": [
- "trainer.model.save_pretrained(\"../../models/Fine-tuned_LegalCamemBERT-base\")"
+ "trainer.model.save_pretrained(\"../../models/Fine-tuned_LegalCamemBERT-GPT-RB\")"
]
},
{
@@ -3611,18 +3707,18 @@
},
{
"cell_type": "code",
- "execution_count": 16,
+ "execution_count": 21,
"id": "e48a67b7-814d-46d5-a079-fafc5b6adf86",
"metadata": {},
"outputs": [],
"source": [
- "model = RobertaForSpanCategorization.from_pretrained(\"../../models/Fine-tuned_LegalCamemBERT-GPT+RB\")\n",
+ "model = RobertaForSpanCategorization.from_pretrained(\"../../models/Fine-tuned_LegalCamemBERT-GPT-RB\")\n",
"tokenizer = AutoTokenizer.from_pretrained(modelId)"
]
},
{
"cell_type": "code",
- "execution_count": 17,
+ "execution_count": 22,
"id": "4cb75af5-234f-4863-94f8-45a364e1b877",
"metadata": {},
"outputs": [],
@@ -3656,7 +3752,7 @@
},
{
"cell_type": "code",
- "execution_count": 18,
+ "execution_count": 23,
"id": "314d7a28-ef8b-4367-8e6d-79a55951fcec",
"metadata": {},
"outputs": [
@@ -3665,51 +3761,51 @@
"output_type": "stream",
"text": [
"<s> - []\n",
- "afin - []\n",
- "de - []\n",
- "vérifier - []\n",
- "le - []\n",
- "kilométrage - []\n",
- " - []\n",
- ", - []\n",
- "pour - []\n",
- "les - [3]\n",
- "véhicules - [3]\n",
- "équipés - [4]\n",
- "d - [4]\n",
+ "afin - [4]\n",
+ "de - [4]\n",
+ "vérifier - [1, 4]\n",
+ "le - [1, 4]\n",
+ "kilométrage - [1, 4]\n",
" - [4]\n",
- "' - [4]\n",
- "un - [4]\n",
- "compteur - [4]\n",
- "kilo - [4]\n",
- "métrique - [4]\n",
+ ", - [4]\n",
+ "pour - [4]\n",
+ "les - [3, 4]\n",
+ "véhicules - [3, 4]\n",
+ "équipés - [3, 4]\n",
+ "d - [3, 4]\n",
+ " - [3, 4]\n",
+ "' - [3, 4]\n",
+ "un - [3, 4]\n",
+ "compteur - [3, 4]\n",
+ "kilo - [3, 4]\n",
+ "métrique - [3, 4]\n",
" - []\n",
", - []\n",
- "les - [3]\n",
- "informations - [3]\n",
- "communiquées - [4]\n",
- "lors - [4, 8]\n",
- "du - [8]\n",
- "précédent - [8]\n",
- "contrôle - [8]\n",
- "technique - [8]\n",
+ "les - []\n",
+ "informations - []\n",
+ "communiquées - [1, 4]\n",
+ "lors - [1, 8]\n",
+ "du - [1, 8]\n",
+ "précédent - [1, 8]\n",
+ "contrôle - [1, 7, 8]\n",
+ "technique - [1, 7, 8]\n",
"sont - [1]\n",
"mises - [1]\n",
- "à - [1]\n",
- "la - [1]\n",
- "disposition - [1]\n",
- "des - [1]\n",
- "organismes - [1, 2]\n",
- "de - [1, 2]\n",
- "contrôle - [1, 2]\n",
- "technique - [1, 2]\n",
- "dès - [4]\n",
- "qu - [4]\n",
- " - [4]\n",
- "' - [4]\n",
- "elles - [4]\n",
- "sont - [4]\n",
- "disponibles - [4]\n",
+ "à - []\n",
+ "la - []\n",
+ "disposition - []\n",
+ "des - [2]\n",
+ "organismes - [2]\n",
+ "de - [2]\n",
+ "contrôle - [2, 7]\n",
+ "technique - [2, 7]\n",
+ "dès - []\n",
+ "qu - []\n",
+ " - []\n",
+ "' - []\n",
+ "elles - [1]\n",
+ "sont - [1]\n",
+ "disponibles - []\n",
"par - [4]\n",
"voie - [4]\n",
"électronique - [4]\n",
@@ -3727,7 +3823,7 @@
},
{
"cell_type": "code",
- "execution_count": 19,
+ "execution_count": 24,
"id": "b0164373-ee70-4d63-a0c2-ac2197b37b22",
"metadata": {},
"outputs": [
@@ -3741,32 +3837,38 @@
{
"data": {
"text/plain": [
- "[{'start': 39, 'end': 52, 'tag': 'artifact', 'text': 'les véhicules'},\n",
- " {'start': 53,\n",
+ "[{'start': 0,\n",
" 'end': 89,\n",
" 'tag': 'condition',\n",
- " 'text': \"équipés d ' un compteur kilométrique\"},\n",
- " {'start': 92, 'end': 108, 'tag': 'artifact', 'text': 'les informations'},\n",
- " {'start': 109, 'end': 126, 'tag': 'condition', 'text': 'communiquées lors'},\n",
+ " 'text': \"afin de vérifier le kilométrage , pour les véhicules équipés d ' un compteur kilométrique\"},\n",
+ " {'start': 8, 'end': 31, 'tag': 'action', 'text': 'vérifier le kilométrage'},\n",
+ " {'start': 39,\n",
+ " 'end': 89,\n",
+ " 'tag': 'artifact',\n",
+ " 'text': \"les véhicules équipés d ' un compteur kilométrique\"},\n",
+ " {'start': 109, 'end': 121, 'tag': 'condition', 'text': 'communiquées'},\n",
+ " {'start': 109,\n",
+ " 'end': 169,\n",
+ " 'tag': 'action',\n",
+ " 'text': 'communiquées lors du précédent contrôle technique sont mises'},\n",
" {'start': 122,\n",
" 'end': 158,\n",
" 'tag': 'time',\n",
" 'text': 'lors du précédent contrôle technique'},\n",
- " {'start': 159,\n",
- " 'end': 223,\n",
- " 'tag': 'action',\n",
- " 'text': 'sont mises à la disposition des organismes de contrôle technique'},\n",
- " {'start': 191,\n",
+ " {'start': 140, 'end': 158, 'tag': 'reference', 'text': 'contrôle technique'},\n",
+ " {'start': 187,\n",
" 'end': 223,\n",
" 'tag': 'actor',\n",
- " 'text': 'organismes de contrôle technique'},\n",
- " {'start': 224,\n",
+ " 'text': 'des organismes de contrôle technique'},\n",
+ " {'start': 205, 'end': 223, 'tag': 'reference', 'text': 'contrôle technique'},\n",
+ " {'start': 233, 'end': 243, 'tag': 'action', 'text': 'elles sont'},\n",
+ " {'start': 256,\n",
" 'end': 277,\n",
" 'tag': 'condition',\n",
- " 'text': \"dès qu ' elles sont disponibles par voie électronique\"}]"
+ " 'text': 'par voie électronique'}]"
]
},
- "execution_count": 19,
+ "execution_count": 24,
"metadata": {},
"output_type": "execute_result"
}
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diff --git a/test.py b/test.py
deleted file mode 100644
index 356d6ba..0000000
--- a/test.py
+++ /dev/null
@@ -1,31 +0,0 @@
-def separate_intervals(data):
- # Trier la liste
- sorted_data = sorted(data, key=lambda x: int(x.split('.')[-1]))
-
- separated_intervals = []
- current_interval = [sorted_data[0]]
-
- for i in range(1, len(sorted_data)):
- current_value = int(sorted_data[i].split('.')[-1])
- previous_value = int(current_interval[-1].split('.')[-1])
-
- if current_value == previous_value + 1:
- current_interval.append(sorted_data[i])
- else:
- separated_intervals.append(current_interval)
- current_interval = [sorted_data[i]]
-
- separated_intervals.append(current_interval) # Ajouter le dernier intervalle
-
- return separated_intervals
-
-def main():
- # Exemple d'utilisation
- data = ['265.0.10']
- separated_intervals = separate_intervals(data)
-
- for interval in separated_intervals:
- print(interval)
-
-if __name__ == "__main__":
- main()
\ No newline at end of file
--
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