diff --git a/MANIFEST.in b/MANIFEST.in
new file mode 100644
index 0000000..2a1bf9e
--- /dev/null
+++ b/MANIFEST.in
@@ -0,0 +1,4 @@
+include src/tot/data/24/24.csv
+include src/tot/data/crosswords/mini0505_0_100_5.json
+include src/tot/data/crosswords/mini0505.json
+include src/tot/data/text/data_100_random_text.txt
diff --git a/fake.png b/pics/fake.png
similarity index 100%
rename from fake.png
rename to pics/fake.png
diff --git a/teaser.png b/pics/teaser.png
similarity index 100%
rename from teaser.png
rename to pics/teaser.png
diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..a18b5e3
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,35 @@
+[build-system]
+requires = ["setuptools >= 61.0.0"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "tot"
+version = "0.1.0"
+description = 'Official Implementation of "Tree of Thoughts: Deliberate Problem Solving with Large Language Models"'
+readme = "README.md"
+requires-python = ">= 3.7"
+authors = [{ name = "Shunyu Yao", email = "shunyuyao.cs@gmail.com" }]
+license = { text = "MIT License" }
+keywords = ["tree-search", "large-language-models", "llm", "prompting", "tree-of-thoughts"]
+classifiers = [
+    "License :: OSI Approved :: MIT License",
+    "Programming Language :: Python :: 3",
+    "Programming Language :: Python :: 3.7",
+    "Programming Language :: Python :: 3.8",
+    "Programming Language :: Python :: 3.9",
+    "Programming Language :: Python :: 3.10",
+    "Programming Language :: Python :: 3.11",
+    'Intended Audience :: Science/Research',
+    'Topic :: Scientific/Engineering :: Artificial Intelligence',
+]
+dynamic=["dependencies"]
+
+
+[tool.setuptools.dynamic]
+dependencies = {file = ["requirements.txt"]}
+
+[tool.setuptools.packages.find]
+where = ["src"]  # list of folders that contain the packages (["."] by default)
+
+[project.urls]
+Homepage = "https://github.com/princeton-nlp/tree-of-thought-llm"
\ No newline at end of file
diff --git a/readme.md b/readme.md
index d4cf54e..7165c26 100644
--- a/readme.md
+++ b/readme.md
@@ -2,44 +2,58 @@
 [![DOI](https://zenodo.org/badge/642099326.svg)](https://zenodo.org/badge/latestdoi/642099326)
 
 <details>
-  <summary>Note: https://github.com/kyegomez/tree-of-thoughts is NOT the correct implementation to replicate paper results. </summary>
-  
-In fact, people have reported that his code [cannot](https://github.com/kyegomez/tree-of-thoughts/issues/52) [properly](https://github.com/kyegomez/tree-of-thoughts/issues/41) [run](https://github.com/kyegomez/tree-of-thoughts/issues/60), and is [probably automatically generated by ChatGPT](fake.png), and [kyegomez has done so for other popular ML methods](https://twitter.com/qbitium/status/1663954096741814272), while intentionally refusing to link to official implementations for his own interests (see https://github.com/kyegomez/tree-of-thoughts/issues/54, https://github.com/kyegomez/tree-of-thoughts/issues/55, https://github.com/kyegomez/tree-of-thoughts/issues/56).
+  <summary>Note: https://github.com/kyegomez/tree-of-thoughts CANNOT replicate paper results. </summary>
+
+In fact, people have reported that his code [cannot](https://github.com/kyegomez/tree-of-thoughts/issues/52) [properly](https://github.com/kyegomez/tree-of-thoughts/issues/41) [run](https://github.com/kyegomez/tree-of-thoughts/issues/60), and is [probably automatically generated by ChatGPT](pics/fake.png), and [kyegomez has done so for other popular ML methods](https://twitter.com/qbitium/status/1663954096741814272), while intentionally refusing to link to official implementations for his own interests (see https://github.com/kyegomez/tree-of-thoughts/issues/54, https://github.com/kyegomez/tree-of-thoughts/issues/55, https://github.com/kyegomez/tree-of-thoughts/issues/56).
 Unfortunately, Google/Github searches go to kyegomez's malicious repo by default as it has more stars. **Please DE-STAR his repo and STAR this to help other people avoid being misled, thanks!**
 </details>
 
 
-
-
-
-![teaser](teaser.png)
+![teaser](pics/teaser.png)
 
 Official implementation for paper [Tree of Thoughts: Deliberate Problem Solving with Large Language Models](https://arxiv.org/abs/2305.10601) with code, prompts, model outputs.
 Also check [its tweet thread](https://twitter.com/ShunyuYao12/status/1659357547474681857) in 1min.
 
 
-Please cite the paper and star this repo if you use ToT and find it interesting/useful. Thanks!
 
-```bibtex
-@misc{yao2023tree,
-      title={{Tree of Thoughts}: Deliberate Problem Solving with Large Language Models}, 
-      author={Shunyu Yao and Dian Yu and Jeffrey Zhao and Izhak Shafran and Thomas L. Griffiths and Yuan Cao and Karthik Narasimhan},
-      year={2023},
-      eprint={2305.10601},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL}
-}
-```
 
 
 
 ## Setup
-You need to first have an OpenAI API key and store it in the environment variable ``OPENAI_API_KEY`` (see [here](https://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety)). If you use custom base url, set it by environment variable ``OPENAI_API_BASE`` (e.g. https://api.openai.com/v1).
+- Set up OpenAI API key and store in environment variable ``OPENAI_API_KEY`` (see [here](https://help.openai.com/en/articles/5112595-best-practices-for-api-key-safety)). 
 
-Package requirement: ``pip install openai backoff sympy numpy``
+- Install dependencies and `tot` package (PyPI package coming soon): 
+```bash
+git clone https://github.com/princeton-nlp/tree-of-thought-llm
+cd tree-of-thought-llm
+pip install -r requirements.txt
+pip install -e .  # install `tot` package
+```
 
 
-## Experiments
+## Quick Start
+The following minimal script will attempt to solve the game of 24 with `4 5 6 10` (might be a bit slow as it's using GPT-4):
+```python
+import argparse
+from tot.methods.bfs import solve
+from tot.tasks.game24 import Game24Task
+
+args = argparse.Namespace(backend='gpt-4', temperature=0.7, task='game24', naive_run=False, prompt_sample=None, method_generate='propose', method_evaluate='value', method_select='greedy', n_generate_sample=1, n_evaluate_sample=3, n_select_sample=5)
+
+task = Game24Task()
+ys, infos = solve(args, task, 900)
+print(ys[0])
+```
+
+And the output would be something like (note it's not deterministic, and sometimes the output can be wrong):
+```
+10 - 4 = 6 (left: 5 6 6)
+5 * 6 = 30 (left: 6 30)
+30 - 6 = 24 (left: 24)
+Answer: (5 * (10 - 4)) - 6 = 24
+```
+
+## Paper Experiments
 
 Run experiments via ``sh scripts/{game24, text, crosswords}/{standard_sampling, cot_sampling, bfs}.sh``, except in crosswords we use a DFS algorithm for ToT, which can be run via ``scripts/crosswords/search_crosswords-dfs.ipynb``.
 
@@ -55,13 +69,24 @@ The very simple ``run.py`` implements the ToT + BFS algorithm, as well as the na
 
 
 
-## Trajectories
+## Paper Trajectories
 ``logs/`` contains all the trajectories from the paper's experiments, except for ``logs/game24/gpt-4_0.7_propose1_value3_greedy5_start900_end1000.json`` which was reproduced after the paper (as the original experiment was done in a notebook) and achieved a 69\% score instead of the original 74\% score due to randomness in GPT decoding. We hope to aggregate multiple runs in the future to account for sampling randomness and update the paper, but this shouldn't affect the main conclusions of the paper.
 
+## How to Add A New Task
+Setting up a new task is easy, and mainly involves two steps.
+* Set up a new task class in ``tot/tasks/`` and task files in ``tot/data/``. See ``tot/tasks/game24.py`` for an example. Add the task to ``tot/tasks/__init__.py``.
+* Set up task-specific prompts in ``tot/prompts/``. See ``tot/prompts/game24.py`` for an example. Depending on the nature of the task, choose ``--method_generate`` (choices=[``sample``, ``propose``]) and ``--method_evaluate`` (choices=[``value``, ``vote``]) and their corresponding prompts. 
 
+## Citations
+Please cite the paper and star this repo if you use ToT and find it interesting/useful, thanks! Feel free to contact shunyuyao.cs@gmail.com or open an issue if you have any questions.
 
-## Questions
-Feel free to contact shunyuyao.cs@gmail.com or open an issue if you have any questions.
-
-
-
+```bibtex
+@misc{yao2023tree,
+      title={{Tree of Thoughts}: Deliberate Problem Solving with Large Language Models}, 
+      author={Shunyu Yao and Dian Yu and Jeffrey Zhao and Izhak Shafran and Thomas L. Griffiths and Yuan Cao and Karthik Narasimhan},
+      year={2023},
+      eprint={2305.10601},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL}
+}
+```
\ No newline at end of file
diff --git a/requirements.txt b/requirements.txt
index a75d3de..10f2db9 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -16,3 +16,4 @@ sympy==1.12
 tqdm==4.65.0
 urllib3==2.0.2
 yarl==1.9.2
+pandas==2.0.3
\ No newline at end of file
diff --git a/run.py b/run.py
index c3ae2a7..e36712a 100644
--- a/run.py
+++ b/run.py
@@ -1,108 +1,18 @@
 import os
 import json
-import itertools
 import argparse
-import numpy as np
-from functools import partial
-from models import gpt, gpt_usage
-from tasks import get_task
 
-def get_value(task, x, y, n_evaluate_sample, cache_value=True):
-    value_prompt = task.value_prompt_wrap(x, y)
-    if cache_value and value_prompt in task.value_cache:
-        return task.value_cache[value_prompt]
-    value_outputs = gpt(value_prompt, n=n_evaluate_sample, stop=None)
-    value = task.value_outputs_unwrap(x, y, value_outputs)
-    if cache_value:
-        task.value_cache[value_prompt] = value
-    return value
-
-def get_values(task, x, ys, n_evaluate_sample, cache_value=True):
-    values = []
-    local_value_cache = {}
-    for y in ys:  # each partial output
-        if y in local_value_cache:  # avoid duplicate candidates
-            value = 0
-        else:    
-            value = get_value(task, x, y, n_evaluate_sample, cache_value=cache_value)
-            local_value_cache[y] = value
-        values.append(value)
-    return values
-
-def get_votes(task, x, ys, n_evaluate_sample):
-    vote_prompt = task.vote_prompt_wrap(x, ys)
-    vote_outputs = gpt(vote_prompt, n=n_evaluate_sample, stop=None)
-    values = task.vote_outputs_unwrap(vote_outputs, len(ys))
-    return values
-
-def get_proposals(task, x, y): 
-    propose_prompt = task.propose_prompt_wrap(x, y)
-    proposals = gpt(propose_prompt, n=1, stop=None)[0].split('\n')
-    return [y + _ + '\n' for _ in proposals]
-
-def get_samples(task, x, y, n_generate_sample, prompt_sample, stop):
-    if prompt_sample == 'standard':
-        prompt = task.standard_prompt_wrap(x, y)
-    elif prompt_sample == 'cot':
-        prompt = task.cot_prompt_wrap(x, y)
-    else:
-        raise ValueError(f'prompt_sample {prompt_sample} not recognized')
-    samples = gpt(prompt, n=n_generate_sample, stop=stop)
-    return [y + _ for _ in samples]
-
-def solve(args, task, idx, to_print=True):
-    print(gpt)
-    x = task.get_input(idx)  # input
-    ys = ['']  # current output candidates
-    infos = []
-    for step in range(task.steps):
-        # generation
-        if args.method_generate == 'sample':
-            new_ys = [get_samples(task, x, y, args.n_generate_sample, prompt_sample=args.prompt_sample, stop=task.stops[step]) for y in ys]
-        elif args.method_generate == 'propose':
-            new_ys = [get_proposals(task, x, y) for y in ys]
-        new_ys = list(itertools.chain(*new_ys))
-        ids = list(range(len(new_ys)))
-        # evaluation
-        if args.method_evaluate == 'vote':
-            values = get_votes(task, x, new_ys, args.n_evaluate_sample)
-        elif args.method_evaluate == 'value':
-            values = get_values(task, x, new_ys, args.n_evaluate_sample)
-
-        # selection
-        if args.method_select == 'sample':
-            ps = np.array(values) / sum(values)
-            select_ids = np.random.choice(ids, size=args.n_select_sample, p=ps).tolist()
-        elif args.method_select == 'greedy':
-            select_ids = sorted(ids, key=lambda x: values[x], reverse=True)[:args.n_select_sample]
-        select_new_ys = [new_ys[select_id] for select_id in select_ids]
-
-        # log
-        if to_print: 
-            sorted_new_ys, sorted_values = zip(*sorted(zip(new_ys, values), key=lambda x: x[1], reverse=True))
-            print(f'-- new_ys --: {sorted_new_ys}\n-- sol values --: {sorted_values}\n-- choices --: {select_new_ys}\n')
-        
-        infos.append({'step': step, 'x': x, 'ys': ys, 'new_ys': new_ys, 'values': values, 'select_new_ys': select_new_ys})
-        ys = select_new_ys
-    
-    if to_print: 
-        print(ys)
-    return ys, {'steps': infos}
-
-def naive_solve(args, task, idx, to_print=True):
-    x = task.get_input(idx)  # input
-    ys = get_samples(task, x, '', args.n_generate_sample, args.prompt_sample, stop=None)
-    return ys, {}
+from tot.tasks import get_task
+from tot.methods.bfs import solve, naive_solve
+from tot.models import gpt_usage
 
 def run(args):
-    task = get_task(args.task, args.task_file_path)
+    task = get_task(args.task)
     logs, cnt_avg, cnt_any = [], 0, 0
-    global gpt
-    gpt = partial(gpt, model=args.backend, temperature=args.temperature)
     if args.naive_run:
-        file = f'logs/{args.task}/{args.backend}_{args.temperature}_naive_{args.prompt_sample}_sample_{args.n_generate_sample}_start{args.task_start_index}_end{args.task_end_index}.json'
+        file = f'./logs/{args.task}/{args.backend}_{args.temperature}_naive_{args.prompt_sample}_sample_{args.n_generate_sample}_start{args.task_start_index}_end{args.task_end_index}.json'
     else:
-        file = f'logs/{args.task}/{args.backend}_{args.temperature}_{args.method_generate}{args.n_generate_sample}_{args.method_evaluate}{args.n_evaluate_sample}_{args.method_select}{args.n_select_sample}_start{args.task_start_index}_end{args.task_end_index}.json'
+        file = f'./logs/{args.task}/{args.backend}_{args.temperature}_{args.method_generate}{args.n_generate_sample}_{args.method_evaluate}{args.n_evaluate_sample}_{args.method_select}{args.n_select_sample}_start{args.task_start_index}_end{args.task_end_index}.json'
     os.makedirs(os.path.dirname(file), exist_ok=True)
 
     for i in range(args.task_start_index, args.task_end_index):
@@ -136,7 +46,6 @@ def parse_args():
     args.add_argument('--temperature', type=float, default=0.7)
 
     args.add_argument('--task', type=str, required=True, choices=['game24', 'text', 'crosswords'])
-    args.add_argument('--task_file_path', type=str, required=True)
     args.add_argument('--task_start_index', type=int, default=900)
     args.add_argument('--task_end_index', type=int, default=1000)
 
@@ -145,7 +54,7 @@ def parse_args():
 
     args.add_argument('--method_generate', type=str, choices=['sample', 'propose'])
     args.add_argument('--method_evaluate', type=str, choices=['value', 'vote'])
-    args.add_argument('--method_select', type=str, choices=['sample', 'greedy'])
+    args.add_argument('--method_select', type=str, choices=['sample', 'greedy'], default='greedy')
     args.add_argument('--n_generate_sample', type=int, default=1)  # only thing needed if naive_run
     args.add_argument('--n_evaluate_sample', type=int, default=1)
     args.add_argument('--n_select_sample', type=int, default=1)
diff --git a/scripts/crosswords/cot_sampling.sh b/scripts/crosswords/cot_sampling.sh
index 3e03130..3b8e8d3 100644
--- a/scripts/crosswords/cot_sampling.sh
+++ b/scripts/crosswords/cot_sampling.sh
@@ -1,6 +1,5 @@
 python run.py \
     --task crosswords \
-    --task_file_path mini0505_0_100_5.json \
     --task_start_index 0 \
     --task_end_index 20 \
     --naive_run \
diff --git a/scripts/crosswords/search_crosswords-dfs.ipynb b/scripts/crosswords/search_crosswords-dfs.ipynb
index ba93607..4c5f6ca 100644
--- a/scripts/crosswords/search_crosswords-dfs.ipynb
+++ b/scripts/crosswords/search_crosswords-dfs.ipynb
@@ -14,7 +14,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "cd ../.."
+    "cd .."
    ]
   },
   {
@@ -24,9 +24,9 @@
    "outputs": [],
    "source": [
     "import json\n",
-    "from prompts.crosswords import propose_prompt, value_prompt\n",
-    "from models import gpt\n",
-    "from tasks.crosswords import MiniCrosswordsEnv\n",
+    "from tot.prompts.crosswords import propose_prompt, value_prompt\n",
+    "from tot.models import gpt\n",
+    "from tot.tasks.crosswords import MiniCrosswordsEnv\n",
     "\n",
     "env = MiniCrosswordsEnv()"
    ]
@@ -61,7 +61,7 @@
    "source": [
     "import re\n",
     "import copy\n",
-    "from models import gpt\n",
+    "from tot.models import gpt\n",
     "\n",
     "def parse_line(input_str):\n",
     "    # regular expression pattern to match the input string format\n",
diff --git a/scripts/crosswords/standard_sampling.sh b/scripts/crosswords/standard_sampling.sh
index 094b639..79effd6 100644
--- a/scripts/crosswords/standard_sampling.sh
+++ b/scripts/crosswords/standard_sampling.sh
@@ -1,6 +1,5 @@
 python run.py \
     --task crosswords \
-    --task_file_path mini0505_0_100_5.json \
     --task_start_index 0 \
     --task_end_index 20 \
     --naive_run \
diff --git a/scripts/game24/bfs.sh b/scripts/game24/bfs.sh
index baa5a9e..e540fc1 100644
--- a/scripts/game24/bfs.sh
+++ b/scripts/game24/bfs.sh
@@ -1,6 +1,5 @@
 python run.py \
     --task game24 \
-    --task_file_path 24.csv \
     --task_start_index 900 \
     --task_end_index 1000 \
     --method_generate propose \
diff --git a/scripts/game24/cot_sampling.sh b/scripts/game24/cot_sampling.sh
index 464c957..cbd883c 100644
--- a/scripts/game24/cot_sampling.sh
+++ b/scripts/game24/cot_sampling.sh
@@ -1,6 +1,5 @@
 python run.py \
     --task game24 \
-    --task_file_path 24.csv \
     --task_start_index 900 \
     --task_end_index 1000 \
     --naive_run \
diff --git a/scripts/game24/standard_sampling.sh b/scripts/game24/standard_sampling.sh
index 058b969..4f80361 100644
--- a/scripts/game24/standard_sampling.sh
+++ b/scripts/game24/standard_sampling.sh
@@ -1,6 +1,5 @@
 python run.py \
     --task game24 \
-    --task_file_path 24.csv \
     --task_start_index 900 \
     --task_end_index 1000 \
     --naive_run \
diff --git a/scripts/text/bfs.sh b/scripts/text/bfs.sh
index dff7452..133023b 100644
--- a/scripts/text/bfs.sh
+++ b/scripts/text/bfs.sh
@@ -1,8 +1,7 @@
 python run.py \
     --task text \
-    --task_file_path data_100_random_text.txt \
     --task_start_index 0 \
-    --task_end_index 1 \
+    --task_end_index 100 \
     --method_generate sample \
     --method_evaluate vote \
     --method_select greedy \
diff --git a/scripts/text/cot_sampling.sh b/scripts/text/cot_sampling.sh
index 8f2c6f6..8b95ef6 100644
--- a/scripts/text/cot_sampling.sh
+++ b/scripts/text/cot_sampling.sh
@@ -1,8 +1,7 @@
 python run.py \
     --task text \
-    --task_file_path data_100_random_text.txt \
     --task_start_index 0 \
-    --task_end_index 1 \
+    --task_end_index 100 \
     --naive_run \
     --prompt_sample cot \
     --n_generate_sample 10 \
diff --git a/scripts/text/standard_sampling.sh b/scripts/text/standard_sampling.sh
index a24fd5c..cc65b84 100644
--- a/scripts/text/standard_sampling.sh
+++ b/scripts/text/standard_sampling.sh
@@ -1,8 +1,7 @@
 python run.py \
     --task text \
-    --task_file_path data_100_random_text.txt \
     --task_start_index 0 \
-    --task_end_index 1 \
+    --task_end_index 100 \
     --naive_run \
     --prompt_sample standard \
     --n_generate_sample 10 \
diff --git a/setup.py b/setup.py
new file mode 100644
index 0000000..5dc64ab
--- /dev/null
+++ b/setup.py
@@ -0,0 +1,37 @@
+import setuptools
+
+with open('README.md', 'r', encoding='utf-8') as fh:
+    long_description = fh.read()
+
+
+setuptools.setup(
+    name='tot',
+    author='Shunyu Yao',
+    author_email='shunyuyao.cs@gmail.com',
+    description='Official Implementation of "Tree of Thoughts: Deliberate Problem Solving with Large Language Models"',
+    keywords='tree-search, large-language-models, llm, prompting, tree-of-thoughts',
+    long_description=long_description,
+    long_description_content_type='text/markdown',
+    url='https://github.com/princeton-nlp/tree-of-thought-llm',
+    project_urls={
+        'Homepage': 'https://github.com/princeton-nlp/tree-of-thought-llm',
+    },
+    package_dir={'': 'src'},
+    packages=setuptools.find_packages(where='src'),
+    classifiers=[
+        "License :: OSI Approved :: MIT License",
+        "Programming Language :: Python :: 3",
+        "Programming Language :: Python :: 3.7",
+        "Programming Language :: Python :: 3.8",
+        "Programming Language :: Python :: 3.9",
+        "Programming Language :: Python :: 3.10",
+        "Programming Language :: Python :: 3.11",
+        'Intended Audience :: Science/Research',
+        'Topic :: Scientific/Engineering :: Artificial Intelligence',
+    ],
+    python_requires='>=3.7',
+    install_requires=[
+        'setuptools',
+    ],
+    include_package_data=True,
+)
\ No newline at end of file
diff --git a/src/tot/__init__.py b/src/tot/__init__.py
new file mode 100644
index 0000000..a68927d
--- /dev/null
+++ b/src/tot/__init__.py
@@ -0,0 +1 @@
+__version__ = "0.1.0"
\ No newline at end of file
diff --git a/data/24/24.csv b/src/tot/data/24/24.csv
similarity index 97%
rename from data/24/24.csv
rename to src/tot/data/24/24.csv
index 19aa0a6..74f1292 100644
--- a/data/24/24.csv
+++ b/src/tot/data/24/24.csv
@@ -1,1363 +1,1363 @@
-Rank,Puzzles,AMT (s),Solved rate,1-sigma Mean (s),1-sigma STD (s)
-1,1 1 4 6,4.4,99.20%,4.67,1.48
-2,1 1 11 11,4.41,99.60%,4.68,1.45
-3,1 1 3 8,4.45,99.20%,4.69,1.48
-4,1 1 1 8,4.48,98.80%,4.66,1.25
-5,6 6 6 6,4.59,99.40%,4.82,1.49
-6,1 1 2 12,4.63,99.10%,4.95,1.57
-7,1 2 2 6,4.8,99.20%,5.16,1.61
-8,1 1 10 12,4.81,99%,5.06,1.54
-9,2 2 10 10,4.85,98.20%,5.13,1.63
-10,1 1 1 12,4.86,99.20%,5.18,1.63
-11,1 1 2 8,4.96,97.80%,5.31,1.76
-12,1 1 4 8,4.99,98.10%,5.35,1.83
-13,1 1 5 8,5,96.40%,5.36,1.81
-14,4 6 11 11,5,98.90%,5.38,1.73
-15,1 1 3 12,5.02,97.30%,5.36,1.84
-16,2 2 2 12,5.02,99.10%,5.37,1.7
-17,1 1 4 12,5.03,97.40%,5.45,1.85
-18,1 1 12 12,5.03,99.40%,5.4,1.66
-19,3 3 3 8,5.04,98%,5.4,1.8
-20,1 1 2 6,5.09,98.40%,5.4,1.61
-21,1 1 2 11,5.09,98.90%,5.41,1.7
-22,1 2 3 4,5.1,99%,5.46,1.85
-23,11 11 12 12,5.1,98.70%,5.5,1.87
-24,3 7 7 8,5.11,96.70%,5.48,1.89
-25,1 1 13 13,5.16,99.30%,5.45,1.66
-26,1 2 4 12,5.16,97.60%,5.56,1.99
-27,1 1 3 6,5.17,97.70%,5.52,1.77
-28,1 1 3 9,5.17,97%,5.52,1.85
-29,7 7 12 12,5.17,98.60%,5.58,1.89
-30,4 6 7 7,5.18,98.60%,5.53,1.83
-31,1 1 2 13,5.19,98.70%,5.49,1.78
-32,1 1 5 6,5.19,96.80%,5.62,2.04
-33,1 1 11 13,5.23,99.10%,5.66,1.85
-34,1 6 6 12,5.24,98.70%,5.57,1.72
-35,4 5 12 12,5.24,97%,5.6,1.79
-36,4 6 13 13,5.24,98.70%,5.63,1.79
-37,12 12 12 12,5.25,99.30%,5.73,2.14
-38,2 11 11 12,5.26,97.20%,5.68,2
-39,4 4 4 6,5.26,98.10%,5.61,1.94
-40,1 1 1 11,5.27,97.30%,5.56,1.66
-41,1 1 11 12,5.27,99.30%,5.67,1.8
-42,2 7 7 12,5.29,98.70%,5.65,1.89
-43,1 5 7 12,5.3,98.30%,5.87,2.12
-44,10 10 12 12,5.31,98.60%,5.74,1.91
-45,1 8 8 8,5.32,97.70%,5.65,1.94
-46,2 2 3 8,5.33,98.10%,5.72,1.93
-47,2 9 9 12,5.33,97.30%,5.74,2
-48,11 11 11 12,5.33,94.80%,5.61,1.99
-49,3 8 13 13,5.34,94.80%,5.68,2.06
-50,9 9 12 12,5.34,98.30%,5.84,2.11
-51,1 1 5 5,5.35,99.10%,5.71,1.8
-52,3 3 12 12,5.36,98.70%,5.83,2.03
-53,1 1 4 5,5.38,97.80%,5.77,2.02
-54,1 6 8 12,5.38,96.80%,5.77,2
-55,8 8 12 12,5.38,98.50%,5.8,1.95
-56,3 8 11 11,5.39,96%,5.74,2.09
-57,5 6 12 12,5.39,97.10%,5.78,1.81
-58,11 12 12 12,5.4,97.60%,5.74,1.88
-59,12 12 13 13,5.4,98.60%,5.79,1.91
-60,1 1 12 13,5.42,98.70%,5.8,1.84
-61,1 3 5 12,5.42,96.40%,5.79,2.1
-62,5 5 12 12,5.42,98.70%,5.78,1.75
-63,1 9 9 12,5.44,95.50%,5.72,1.78
-64,2 3 3 12,5.44,98.60%,5.91,2.04
-65,3 4 4 8,5.44,98.30%,5.85,1.94
-66,3 8 10 10,5.44,95.60%,5.89,2.25
-67,3 8 9 9,5.45,97%,5.83,1.98
-68,2 5 5 12,5.46,98.70%,5.87,1.99
-69,11 11 11 13,5.48,98.40%,6.03,2.26
-70,2 12 13 13,5.49,97.10%,5.85,2.04
-71,7 7 11 12,5.49,93.70%,5.78,2.05
-72,1 1 3 7,5.5,96.80%,5.82,1.95
-73,1 4 10 10,5.5,97.90%,5.91,2.1
-74,4 4 12 12,5.51,98.60%,5.93,2.05
-75,1 3 4 12,5.52,98.50%,5.95,1.97
-76,5 5 11 12,5.52,96.50%,5.89,1.9
-77,1 2 5 8,5.54,95.50%,5.94,2.26
-78,2 2 4 6,5.54,99%,5.92,1.9
-79,1 6 7 12,5.56,98.50%,5.97,1.97
-80,1 8 9 12,5.56,96.50%,5.87,1.96
-81,6 7 12 12,5.56,95.60%,5.93,2.03
-82,1 3 10 10,5.57,97.40%,5.87,2
-83,2 3 3 8,5.57,96.90%,5.94,1.94
-84,3 5 5 8,5.57,96.90%,5.97,2.08
-85,1 1 1 13,5.58,97.40%,5.9,1.77
-86,2 3 12 12,5.58,97.40%,5.97,2
-87,1 4 7 12,5.59,98.30%,5.99,2.02
-88,8 8 11 13,5.6,97%,6.1,2.29
-89,1 3 3 4,5.61,97.40%,5.86,1.79
-90,1 8 8 12,5.61,96.30%,5.91,1.9
-91,3 7 8 8,5.63,95.90%,5.99,2.03
-92,7 8 12 12,5.63,96.10%,6.07,2.12
-93,9 9 11 12,5.63,93.90%,5.98,2.15
-94,1 2 5 12,5.64,95.40%,6.09,2.2
-95,2 7 7 8,5.64,96.80%,5.94,1.99
-96,4 4 11 13,5.64,97.90%,6.25,2.36
-97,1 1 4 7,5.65,97.10%,5.95,2.07
-98,1 1 10 13,5.65,97.90%,6.09,2.2
-99,4 6 6 6,5.65,98.30%,6.02,2.07
-100,5 5 7 7,5.65,97.80%,5.97,1.91
-101,4 5 11 12,5.66,97.40%,6.06,2.09
-102,1 6 9 12,5.67,95.40%,6.05,2.13
-103,1 7 9 12,5.68,95.90%,6.08,2.24
-104,2 2 12 12,5.68,98.70%,6.21,2.26
-105,1 1 2 10,5.69,95.60%,5.96,1.81
-106,3 7 7 7,5.69,97.40%,6.03,2.02
-107,1 7 7 10,5.7,97.80%,6.17,2.18
-108,4 5 5 6,5.7,97.30%,6.11,2.11
-109,4 8 11 11,5.7,95.10%,6.01,1.98
-110,1 2 2 10,5.71,96.60%,6.05,2.11
-111,1 6 6 11,5.71,98.20%,6.18,2.24
-112,3 3 4 6,5.71,97.70%,6.14,2.11
-113,4 4 11 12,5.71,91.90%,6.06,2.35
-114,2 2 2 3,5.72,99%,5.98,1.72
-115,3 3 11 12,5.72,94.70%,6.11,2.19
-116,3 6 11 11,5.72,94.40%,5.99,2.05
-117,3 8 8 8,5.73,97.50%,6.09,2.14
-118,12 12 12 13,5.73,97.40%,6.07,1.98
-119,1 2 2 12,5.74,97.70%,6.1,1.99
-120,2 8 9 9,5.74,96.30%,6.13,2.1
-121,6 6 12 12,5.75,98.40%,6.31,2.35
-122,8 9 12 12,5.75,96.20%,6.26,2.24
-123,1 5 8 8,5.76,94.80%,6.35,2.69
-124,2 2 3 12,5.76,98%,6.17,2.02
-125,3 4 4 6,5.77,97.40%,6.1,1.93
-126,1 5 6 12,5.79,98.50%,6.17,2.07
-127,4 6 9 9,5.79,96.30%,6.17,2.22
-128,6 6 11 13,5.79,97.80%,6.3,2.25
-129,7 7 11 13,5.79,97.40%,6.32,2.29
-130,1 4 4 12,5.81,95.60%,6.31,2.36
-131,1 4 6 12,5.81,96.60%,6.23,2.41
-132,9 9 11 13,5.81,96.80%,6.35,2.41
-133,3 8 12 13,5.82,96%,6.19,2.2
-134,1 8 10 12,5.83,95.60%,6.16,2.19
-135,3 4 11 13,5.84,96.40%,6.32,2.35
-136,11 13 13 13,5.85,97.80%,6.41,2.42
-137,4 6 6 7,5.87,96.40%,6.23,2.1
-138,1 3 6 12,5.88,96.80%,6.27,2.18
-139,2 4 4 12,5.88,98.40%,6.24,2.14
-140,3 6 7 7,5.88,93.30%,6.24,2.33
-141,4 6 8 8,5.88,96.80%,6.31,2.23
-142,1 4 5 12,5.89,95.70%,6.33,2.33
-143,10 11 12 12,5.89,95.90%,6.27,2.05
-144,2 4 11 11,5.9,96.20%,6.33,2.34
-145,4 6 10 11,5.9,94.50%,6.3,2.39
-146,4 8 10 10,5.9,97.50%,6.32,2.15
-147,1 4 8 12,5.91,97.50%,6.26,2.2
-148,2 10 10 12,5.91,97%,6.29,2.31
-149,3 6 13 13,5.91,94.50%,6.15,1.95
-150,5 6 11 12,5.91,97.20%,6.36,2.23
-151,6 6 10 13,5.91,93.70%,6.43,2.68
-152,10 10 11 13,5.91,97.60%,6.49,2.37
-153,1 3 3 12,5.92,95.30%,6.32,2.31
-154,1 7 8 9,5.92,97.10%,6.38,2.27
-155,1 12 13 13,5.92,94.30%,6.25,2.17
-156,3 8 10 11,5.92,94.40%,6.27,2.35
-157,9 10 12 12,5.92,95.70%,6.24,2.02
-158,1 11 11 12,5.93,93.40%,6.17,2.22
-159,4 5 12 13,5.93,97.60%,6.42,2.16
-160,1 3 6 8,5.94,95.40%,6.37,2.53
-161,1 2 11 11,5.95,97.30%,6.44,2.44
-162,1 6 12 12,5.95,94.50%,6.37,2.45
-163,2 8 8 12,5.95,97.40%,6.47,2.44
-164,3 6 6 8,5.95,97%,6.35,2.24
-165,5 5 5 5,5.95,95.20%,6.36,2.16
-166,3 7 10 10,5.96,97.30%,6.35,2.19
-167,2 8 10 10,5.97,95.30%,6.28,2.07
-168,4 6 10 10,5.97,96.30%,6.34,2.37
-169,1 1 3 13,5.98,95.10%,6.36,2.13
-170,1 2 6 6,5.98,97.40%,6.41,2.25
-171,1 6 7 10,5.98,98.50%,6.53,2.26
-172,1 2 4 4,5.99,97.10%,6.33,2.14
-173,1 7 8 10,5.99,97.50%,6.41,2.3
-174,4 5 5 5,5.99,97.40%,6.55,2.42
-175,1 1 4 4,6.01,94.50%,6.31,2.43
-176,1 2 6 12,6.01,96.80%,6.38,2.24
-177,1 5 8 12,6.02,98.10%,6.51,2.23
-178,1 2 10 12,6.03,97.40%,6.55,2.43
-179,1 5 7 11,6.03,98.50%,6.48,2.14
-180,1 10 10 12,6.03,92.30%,6.24,2.1
-181,3 8 12 12,6.03,96.50%,6.47,2.46
-182,2 2 11 13,6.04,98%,6.59,2.43
-183,3 9 9 9,6.04,97.60%,6.47,2.16
-184,1 1 6 6,6.05,97.20%,6.46,2.19
-185,1 2 4 8,6.05,96.50%,6.44,2.31
-186,1 6 8 9,6.05,98.20%,6.5,2.36
-187,3 4 12 12,6.05,94.50%,6.52,2.48
-188,4 8 13 13,6.05,94.40%,6.27,1.91
-189,1 1 3 4,6.08,98%,6.4,2.03
-190,1 3 9 12,6.08,96.20%,6.48,2.34
-191,3 8 11 12,6.08,94.20%,6.55,2.64
-192,1 1 9 13,6.09,97.20%,6.55,2.54
-193,1 2 6 8,6.09,95.90%,6.41,2.33
-194,1 7 8 8,6.09,96.60%,6.61,2.66
-195,2 8 13 13,6.09,90.20%,6.39,2.56
-196,2 11 11 11,6.09,90%,6.21,2.47
-197,2 11 12 12,6.09,95.40%,6.49,2.27
-198,4 7 7 8,6.09,93.80%,6.55,2.52
-199,3 3 4 8,6.1,96.20%,6.43,2.14
-200,2 2 11 12,6.11,92.30%,6.5,2.56
-201,5 6 12 13,6.11,97.40%,6.51,2.17
-202,3 3 11 13,6.12,96.90%,6.62,2.5
-203,4 7 12 12,6.12,88.50%,6.51,2.85
-204,2 13 13 13,6.14,91.10%,6.32,2.32
-205,5 5 12 13,6.14,95.60%,6.62,2.14
-206,10 13 13 13,6.14,93.20%,6.58,2.78
-207,1 7 7 12,6.15,88.90%,6.28,2.32
-208,2 3 11 12,6.15,94.80%,6.74,2.75
-209,5 5 11 13,6.15,96.10%,6.75,2.52
-210,1 2 3 10,6.16,98.40%,6.47,2
-211,1 5 5 12,6.16,90.50%,6.36,2.32
-212,1 5 7 13,6.16,97.90%,6.53,2.09
-213,3 3 3 6,6.17,97.70%,6.71,2.56
-214,3 3 3 12,6.17,96.90%,6.65,2.46
-215,10 10 11 12,6.17,93.30%,6.53,2.29
-216,1 4 7 8,6.19,96.60%,6.68,2.71
-217,1 10 12 12,6.19,95.80%,6.81,2.94
-218,8 8 11 12,6.19,90.60%,6.54,2.66
-219,1 2 3 8,6.2,97%,6.61,2.38
-220,4 4 10 13,6.2,93.50%,6.71,2.79
-221,1 4 6 8,6.21,94.40%,6.57,2.52
-222,2 2 4 5,6.21,98.30%,6.6,2.11
-223,11 12 13 13,6.21,95.10%,6.69,2.43
-224,1 2 2 8,6.22,93.30%,6.65,2.63
-225,5 5 5 6,6.22,96.10%,6.68,2.34
-226,1 1 5 7,6.23,96.40%,6.56,2.09
-227,1 2 13 13,6.23,97.20%,6.93,2.69
-228,7 7 12 13,6.23,93.90%,6.63,2.35
-229,1 4 8 8,6.24,96.50%,6.71,2.48
-230,3 11 11 12,6.24,91.40%,6.44,2.17
-231,1 2 3 12,6.25,96.20%,6.8,2.53
-232,1 3 8 9,6.27,92.20%,6.82,3.18
-233,1 3 11 11,6.27,97.20%,6.68,2.43
-234,1 4 4 5,6.27,96.90%,6.82,2.67
-235,1 5 10 10,6.28,97.30%,6.65,2.3
-236,1 8 10 13,6.28,94.80%,6.6,2.43
-237,2 2 2 8,6.28,96.40%,6.84,2.73
-238,1 4 12 12,6.29,91.20%,6.53,2.49
-239,2 7 8 12,6.29,94.90%,6.73,2.56
-240,4 4 5 6,6.29,95.70%,6.6,2.26
-241,7 9 11 11,6.29,95.80%,6.77,2.64
-242,2 12 12 13,6.3,95.50%,6.69,2.37
-243,6 7 11 12,6.3,96.80%,6.84,2.59
-244,4 6 12 13,6.31,93.80%,6.82,2.88
-245,1 2 10 11,6.32,97.60%,6.66,2.39
-246,1 5 8 9,6.32,93.90%,6.76,2.62
-247,1 5 7 8,6.33,94.70%,6.71,2.42
-248,4 8 9 9,6.33,90.40%,6.49,2.28
-249,9 9 12 13,6.33,94%,6.69,2.25
-250,8 8 8 10,6.35,90.40%,6.7,2.91
-251,2 12 12 12,6.36,98.40%,6.75,2.46
-252,1 8 8 9,6.37,96.30%,6.9,2.71
-253,2 8 11 11,6.37,88.50%,6.55,2.78
-254,4 5 13 13,6.37,87.70%,6.61,2.77
-255,1 2 12 12,6.38,95.80%,6.71,2.2
-256,2 8 10 11,6.38,94.70%,6.87,2.62
-257,2 11 13 13,6.38,94.10%,6.88,2.52
-258,1 6 7 11,6.39,97.40%,7.02,2.89
-259,3 6 7 8,6.39,97.80%,6.79,2.31
-260,1 2 8 8,6.4,96.10%,6.97,2.74
-261,4 5 9 9,6.4,88.40%,6.64,2.72
-262,1 3 3 7,6.41,95.90%,7.25,3.33
-263,2 5 6 12,6.41,95.10%,6.8,2.52
-264,3 6 10 11,6.41,95.80%,7.05,2.86
-265,1 3 6 6,6.42,97.20%,6.89,2.58
-266,1 6 6 13,6.42,97.20%,6.8,2.44
-267,4 4 4 4,6.43,97.80%,7.03,2.93
-268,10 10 10 13,6.43,92.90%,6.86,2.99
-269,1 6 9 9,6.44,97.50%,6.87,2.52
-270,2 6 6 12,6.44,97.70%,6.97,2.55
-271,3 7 9 9,6.44,91%,6.87,2.78
-272,1 7 8 12,6.45,95.60%,6.97,2.67
-273,3 12 13 13,6.46,91%,6.62,2.29
-274,6 6 11 12,6.46,88.90%,6.77,2.97
-275,1 3 5 8,6.47,95.10%,7.13,2.89
-276,6 10 10 10,6.47,95.70%,6.74,2.31
-277,2 3 11 13,6.48,91.90%,6.91,2.78
-278,1 1 3 11,6.49,94.30%,6.73,1.97
-279,1 4 4 7,6.49,96.10%,7.22,3.18
-280,1 2 4 6,6.5,95.90%,6.88,2.53
-281,1 9 12 12,6.5,92.60%,6.86,2.82
-282,3 4 5 8,6.5,96.10%,6.96,2.63
-283,4 5 6 6,6.5,95.30%,6.81,2.33
-284,1 3 3 5,6.51,95.10%,6.76,2.46
-285,1 4 6 13,6.51,97.50%,6.96,2.39
-286,2 2 2 11,6.51,92.10%,6.79,2.66
-287,2 4 5 12,6.51,94.50%,6.96,2.87
-288,10 11 11 13,6.51,94.70%,6.91,2.63
-289,12 13 13 13,6.52,94.30%,6.85,2.44
-290,3 7 11 11,6.53,88%,6.77,3.02
-291,3 7 13 13,6.53,87.30%,6.67,2.74
-292,4 6 7 8,6.53,95.80%,6.96,2.48
-293,1 4 7 13,6.54,96.50%,7.22,2.95
-294,1 5 8 10,6.54,96.30%,7.09,2.54
-295,5 6 6 7,6.54,97.90%,7.06,2.44
-296,1 5 10 12,6.55,92%,6.96,3.07
-297,1 6 8 10,6.55,97.10%,6.98,2.39
-298,3 5 11 11,6.55,94.50%,7.06,2.97
-299,3 9 9 12,6.55,94.70%,6.92,2.56
-300,2 10 11 12,6.56,95.90%,6.86,2.4
-301,2 8 8 13,6.57,92.80%,6.94,2.55
-302,7 8 11 12,6.57,96.20%,7.05,2.64
-303,1 2 5 6,6.58,94.60%,7.11,2.75
-304,1 7 7 11,6.58,96.80%,7.15,2.6
-305,4 6 12 12,6.58,96.80%,7.03,2.42
-306,1 3 13 13,6.59,97%,7.11,2.6
-307,3 8 9 10,6.59,96.20%,6.95,2.46
-308,3 10 10 12,6.59,94.20%,6.94,2.35
-309,4 4 12 13,6.59,92%,6.95,2.49
-310,1 10 11 12,6.6,94.60%,6.98,2.5
-311,2 3 4 6,6.6,97.80%,7.01,2.29
-312,4 6 11 12,6.6,92.80%,6.98,2.9
-313,1 2 10 13,6.61,97%,7.12,2.72
-314,1 3 3 9,6.61,96.70%,7.15,2.85
-315,1 9 11 12,6.61,93.70%,7.05,2.97
-316,2 2 8 12,6.61,98%,7.06,2.29
-317,2 5 6 11,6.63,96.30%,7.12,2.59
-318,3 4 10 13,6.63,96.50%,7.15,2.82
-319,3 7 7 12,6.63,89.90%,6.78,2.56
-320,1 2 3 6,6.65,97%,7.08,2.43
-321,3 6 6 7,6.65,93.60%,7.09,2.67
-322,1 12 12 12,6.66,93.40%,6.88,2.57
-323,2 8 9 12,6.66,95%,7.04,2.72
-324,3 3 3 3,6.67,96%,7.4,3.34
-325,1 4 8 13,6.68,97.40%,7.07,2.44
-326,4 4 5 5,6.68,93.20%,7.11,2.52
-327,6 7 12 13,6.68,95.40%,7.17,2.72
-328,1 2 5 5,6.69,95.10%,7.19,2.91
-329,2 2 5 5,6.69,93.20%,7.07,2.49
-330,5 6 7 7,6.69,87.80%,6.86,2.72
-331,5 7 10 12,6.69,96.70%,7.13,2.44
-332,1 1 6 12,6.7,91.10%,7.36,3.37
-333,1 3 3 3,6.71,95.50%,7.09,2.55
-334,4 5 11 11,6.72,87.20%,7.19,3.59
-335,1 1 2 7,6.73,95.40%,6.96,2.07
-336,1 2 5 7,6.73,95%,7.07,2.65
-337,1 5 6 6,6.73,93.60%,7.41,3.4
-338,9 9 10 13,6.73,90.90%,6.9,2.68
-339,1 6 6 10,6.74,93.60%,7.09,3.03
-340,3 3 12 13,6.74,93.30%,7.19,2.64
-341,6 8 10 12,6.74,97.20%,7.28,2.79
-342,2 2 2 13,6.75,93.40%,7.1,2.72
-343,2 3 12 13,6.76,95.90%,7.24,2.63
-344,3 3 5 6,6.76,96.20%,7.36,2.7
-345,2 11 11 13,6.77,94.90%,7.28,2.84
-346,4 5 7 7,6.77,91.20%,7.37,3.44
-347,7 7 10 13,6.77,89.60%,7.06,3.11
-348,1 2 11 13,6.78,93.50%,7.42,3.1
-349,11 12 12 13,6.78,97%,7.39,2.67
-350,5 7 11 11,6.79,96.10%,7.22,2.67
-351,2 2 2 4,6.8,95.90%,7.13,2.48
-352,3 4 5 7,6.81,96.60%,7.28,2.65
-353,4 7 13 13,6.81,87.70%,7.06,2.94
-354,4 8 8 8,6.81,94.60%,7.16,2.75
-355,5 6 13 13,6.81,86.90%,6.91,2.69
-356,8 9 11 12,6.81,95.20%,7.45,3.01
-357,1 1 2 9,6.82,94.60%,7.11,2.33
-358,2 4 4 8,6.82,96.40%,7.23,2.67
-359,4 4 4 8,6.82,96.30%,7.38,2.8
-360,2 4 13 13,6.83,95.60%,7.34,2.76
-361,4 7 7 7,6.83,88.80%,7.02,3.01
-362,7 9 13 13,6.83,96.30%,7.42,2.78
-363,9 11 11 11,6.83,95.30%,7.21,2.76
-364,1 6 8 11,6.84,97.70%,7.3,2.46
-365,1 1 3 5,6.85,95.20%,7.17,2.32
-366,2 6 6 8,6.85,95.50%,7.42,2.98
-367,1 3 4 4,6.87,93.10%,7.15,3.02
-368,1 3 10 11,6.87,96.40%,7.53,3.1
-369,1 9 10 12,6.87,93.70%,7.18,2.72
-370,7 8 12 13,6.87,96.40%,7.34,2.62
-371,8 9 10 13,6.87,95.80%,7.37,2.65
-372,1 1 4 9,6.88,93.40%,7.08,2.33
-373,2 5 5 8,6.88,88%,7.04,3.06
-374,6 9 12 12,6.88,89.10%,7.44,3.67
-375,2 5 5 13,6.89,92%,7.28,2.71
-376,2 8 12 12,6.89,95%,7.27,2.62
-377,4 7 10 11,6.89,97%,7.42,2.74
-378,1 11 12 12,6.9,94.20%,7.43,3.1
-379,3 3 3 7,6.9,92.20%,7.32,3.12
-380,3 3 3 10,6.9,94.30%,7.47,3.25
-381,6 8 11 11,6.9,94.20%,7.43,3.06
-382,9 10 11 12,6.9,96.10%,7.41,2.76
-383,1 3 6 7,6.91,96%,7.32,2.81
-384,8 9 12 13,6.91,96%,7.4,2.7
-385,1 2 2 11,6.92,97.10%,7.46,2.95
-386,1 8 8 11,6.92,93.30%,7.39,3.42
-387,4 5 10 10,6.92,91%,7.24,3.04
-388,1 2 11 12,6.93,96.90%,7.63,3.2
-389,2 4 5 8,6.93,95%,7.31,2.74
-390,2 5 12 12,6.93,83.20%,7.33,4.07
-391,3 6 6 12,6.94,95.40%,7.6,2.84
-392,4 6 9 10,6.94,93.50%,7.45,3.24
-393,4 7 8 8,6.94,94%,7.33,2.53
-394,5 5 10 10,6.94,86.70%,7.24,3.12
-395,1 2 7 10,6.95,90.90%,7.71,4
-396,2 6 10 12,6.95,95.10%,7.43,2.81
-397,2 6 7 13,6.96,96.60%,7.37,2.66
-398,2 9 9 11,6.96,87.30%,6.96,2.68
-399,8 8 10 13,6.96,90.40%,7.35,3.05
-400,1 1 8 8,6.97,89.50%,7.42,3.71
-401,2 2 10 13,6.97,90.10%,7.23,3.03
-402,2 2 12 13,6.97,92.10%,7.25,2.6
-403,5 6 11 11,6.97,87.20%,7.18,3.13
-404,11 11 12 13,6.97,94.90%,7.39,2.48
-405,1 2 6 7,6.98,95.10%,7.35,2.55
-406,3 8 8 9,6.98,95.50%,7.29,2.5
-407,6 7 10 13,6.98,96.40%,7.5,2.75
-408,9 12 12 12,6.98,82.20%,7.03,3.68
-409,1 6 8 8,6.99,93%,7.31,2.92
-410,4 4 4 12,6.99,96.60%,7.46,2.94
-411,5 5 10 13,6.99,89.70%,7.34,3.26
-412,6 8 8 8,6.99,88.10%,7.38,3.47
-413,5 6 9 9,7,90.60%,7.27,2.74
-414,1 3 7 13,7.01,96.80%,7.4,2.64
-415,1 7 8 11,7.01,92.60%,7.4,3.08
-416,3 6 9 9,7.01,94%,7.6,3.28
-417,5 5 6 6,7.01,93.10%,7.48,2.79
-418,5 5 13 13,7.01,85.50%,7.17,3.03
-419,1 3 5 13,7.02,94.10%,7.43,2.72
-420,1 8 8 10,7.02,92.40%,7.36,2.99
-421,2 9 9 13,7.02,88.60%,7.08,2.5
-422,1 7 7 9,7.03,96.30%,7.4,2.83
-423,3 7 12 13,7.03,93.80%,7.5,3
-424,8 8 9 11,7.03,89.70%,7.57,3.69
-425,4 8 11 12,7.04,92.90%,7.64,3.18
-426,1 7 10 12,7.05,92.60%,7.46,2.96
-427,2 3 5 5,7.05,96.20%,7.57,2.94
-428,2 6 7 12,7.05,92%,7.2,2.91
-429,8 8 12 13,7.05,92.10%,7.35,2.65
-430,8 10 11 11,7.05,94.80%,7.45,2.76
-431,3 5 5 6,7.06,89.10%,7.29,3.09
-432,1 3 10 12,7.07,96.40%,7.55,2.75
-433,2 3 3 13,7.07,94%,7.6,2.92
-434,5 5 11 11,7.08,85.80%,7.3,3.24
-435,1 2 2 13,7.09,96.40%,7.64,3.12
-436,2 5 9 12,7.09,95.40%,7.53,2.84
-437,3 3 4 4,7.09,94.40%,7.45,2.69
-438,1 2 3 5,7.1,95.40%,7.39,2.38
-439,1 3 9 11,7.1,95.10%,7.65,3.15
-440,2 2 7 13,7.1,96.10%,7.59,2.92
-441,1 5 6 9,7.11,91.90%,7.56,3.43
-442,2 6 10 10,7.11,95.70%,7.58,2.96
-443,10 10 12 13,7.11,92.20%,7.43,2.6
-444,1 10 12 13,7.12,94.30%,7.45,2.83
-445,2 8 8 8,7.12,93.90%,7.68,3.28
-446,3 4 11 12,7.12,95.10%,7.75,3.35
-447,1 2 4 10,7.13,96.20%,7.62,3.17
-448,4 7 12 13,7.13,92.40%,7.74,3.4
-449,7 8 8 9,7.13,86.60%,7.51,3.69
-450,1 3 4 11,7.14,96%,7.65,2.91
-451,4 6 6 8,7.14,97.30%,7.61,2.61
-452,6 6 6 11,7.14,88.70%,7.39,3.41
-453,3 8 8 12,7.15,91.50%,7.62,3.1
-454,2 7 7 13,7.16,86%,7.27,3.01
-455,2 9 10 12,7.16,93.80%,7.49,2.83
-456,3 7 11 12,7.16,90.60%,7.7,3.49
-457,4 5 11 13,7.17,90.30%,7.59,3.29
-458,6 6 12 13,7.17,90.30%,7.56,3.04
-459,1 5 9 9,7.18,94.40%,7.69,3.15
-460,3 4 5 12,7.18,97%,7.61,2.67
-461,5 6 11 13,7.18,91.70%,7.75,3.37
-462,1 12 12 13,7.19,94.20%,7.7,3.12
-463,4 8 10 12,7.19,95.70%,7.71,2.86
-464,5 9 10 10,7.19,92.80%,7.58,3.05
-465,3 6 11 12,7.2,93.40%,7.7,3.18
-466,2 6 7 9,7.21,96%,7.75,3
-467,3 5 13 13,7.22,94.30%,7.71,3.07
-468,3 7 7 9,7.22,86.60%,7.26,2.95
-469,1 3 4 5,7.23,97.50%,7.73,2.53
-470,3 9 10 11,7.23,93%,7.61,2.93
-471,1 3 7 8,7.24,89.30%,7.43,3.48
-472,1 7 9 13,7.25,93.70%,7.5,2.52
-473,1 8 11 12,7.25,91.50%,7.77,3.41
-474,4 7 11 11,7.25,86.30%,7.35,3.32
-475,1 6 6 9,7.26,90.30%,7.7,3.26
-476,5 5 7 8,7.26,92.40%,7.71,2.94
-477,7 9 10 12,7.26,94%,7.78,3.16
-478,1 6 8 13,7.27,94.30%,7.7,2.83
-479,3 4 8 10,7.27,93.40%,7.66,3.19
-480,5 10 11 11,7.27,90.30%,7.48,2.76
-481,2 4 10 12,7.28,96.50%,7.94,3.12
-482,4 5 5 8,7.28,88%,7.43,2.93
-483,10 12 12 13,7.28,90.10%,7.74,3.54
-484,1 1 6 8,7.29,94.90%,7.62,2.55
-485,2 2 3 9,7.29,94.50%,7.73,2.88
-486,3 3 4 5,7.29,94%,7.75,3.18
-487,5 8 8 10,7.29,91.40%,7.77,3.37
-488,1 8 9 11,7.3,92.60%,7.63,3.1
-489,2 3 3 11,7.3,89.30%,7.55,3.23
-490,2 7 8 13,7.3,94%,7.84,3.11
-491,3 5 5 12,7.3,89%,7.62,3.32
-492,5 5 9 9,7.3,85.50%,7.59,3.37
-493,7 10 10 11,7.3,93.50%,7.63,2.94
-494,10 11 11 12,7.31,96.70%,7.8,2.8
-495,2 5 6 8,7.32,95.60%,7.91,3.03
-496,3 3 9 9,7.32,95.90%,7.7,2.77
-497,3 6 6 6,7.32,94.40%,7.75,3.15
-498,5 8 12 12,7.32,75.90%,6.76,3.49
-499,2 3 7 12,7.34,94.70%,7.81,3.04
-500,5 6 8 8,7.34,92.20%,7.69,2.92
-501,1 11 12 13,7.35,93.80%,7.77,3.19
-502,3 5 6 8,7.35,93.50%,7.83,3.19
-503,6 8 13 13,7.35,93.30%,7.82,3.08
-504,4 4 5 8,7.37,95.90%,7.72,2.57
-505,7 10 12 12,7.37,84.60%,7.57,3.7
-506,1 8 9 13,7.38,91.40%,7.84,3.51
-507,3 5 10 12,7.38,94.80%,7.95,3.1
-508,3 9 11 11,7.38,85.80%,7.49,3.24
-509,6 6 6 9,7.38,89.60%,7.97,3.92
-510,5 5 10 11,7.39,87.70%,7.75,3.46
-511,2 2 4 7,7.4,95.30%,8.06,3.15
-512,3 6 8 8,7.4,92.70%,7.74,2.98
-513,3 9 13 13,7.4,86.30%,7.56,3.26
-514,4 4 4 7,7.4,91.10%,7.76,3.31
-515,1 4 4 4,7.41,95.70%,7.86,2.86
-516,9 10 10 13,7.41,95.20%,7.86,3.02
-517,2 10 10 11,7.42,85.20%,7.27,2.92
-518,3 3 10 13,7.42,89.40%,7.7,3.46
-519,1 2 3 9,7.43,96.40%,7.98,3.1
-520,2 4 8 10,7.43,97.80%,7.91,2.6
-521,1 7 9 9,7.44,94.70%,7.92,3.19
-522,2 6 6 6,7.45,95.90%,8.01,3.06
-523,2 6 9 11,7.45,95.50%,7.93,3.13
-524,3 4 4 7,7.45,90.30%,7.87,3.37
-525,2 6 6 13,7.46,84.90%,7.54,3.15
-526,8 8 8 12,7.46,88.20%,7.86,3.98
-527,3 5 5 7,7.47,89.90%,7.71,3.14
-528,4 7 9 9,7.47,86.40%,7.59,3.16
-529,5 7 13 13,7.47,94.20%,7.87,3.21
-530,1 4 5 5,7.48,95.80%,7.91,2.68
-531,1 5 5 6,7.48,94.90%,7.99,3.07
-532,4 8 12 13,7.48,91.70%,8.18,3.7
-533,5 10 13 13,7.48,92.50%,7.93,2.78
-534,2 10 10 13,7.49,90%,7.63,2.85
-535,3 3 5 5,7.49,89.40%,7.73,3.16
-536,3 7 9 10,7.49,91.90%,8.06,3.46
-537,1 2 3 7,7.5,96.10%,8.17,3.2
-538,4 4 7 9,7.5,93.20%,7.9,3.39
-539,2 2 6 6,7.51,95.80%,8.02,3.05
-540,2 6 6 11,7.51,83.20%,7.35,3.13
-541,6 7 11 13,7.51,90.10%,7.89,3.44
-542,1 2 2 4,7.52,95.50%,7.83,2.44
-543,3 5 6 12,7.52,93.40%,8.04,3.23
-544,2 2 7 8,7.53,93.70%,7.88,2.98
-545,2 4 4 13,7.53,85.40%,7.66,3.38
-546,4 4 8 8,7.53,95.60%,8.13,3.2
-547,3 6 10 12,7.54,92.90%,8.05,3.43
-548,1 2 4 13,7.55,93.60%,7.88,2.93
-549,2 4 5 13,7.55,94.70%,8.14,3.25
-550,2 7 8 8,7.57,92.60%,7.97,3.08
-551,1 2 12 13,7.58,95.90%,8.31,3.37
-552,2 3 4 12,7.58,94.20%,8.09,3.28
-553,3 4 9 12,7.58,94.50%,8.02,3.08
-554,9 11 13 13,7.6,92%,8.11,3.19
-555,2 2 4 10,7.61,94.10%,8.01,2.92
-556,2 8 12 13,7.61,89.40%,7.86,3.55
-557,3 4 4 12,7.61,90.40%,7.91,3.28
-558,2 4 4 11,7.62,84.50%,7.62,3.38
-559,2 3 5 6,7.63,95%,8.05,2.95
-560,2 6 11 13,7.63,89.70%,7.78,3.26
-561,3 9 12 12,7.63,90.70%,8.2,3.48
-562,5 6 10 10,7.63,86.90%,7.99,3.73
-563,1 3 8 12,7.64,96.60%,8.14,2.9
-564,2 6 8 11,7.64,93.30%,8.07,3.38
-565,1 4 10 11,7.65,95%,8.1,3.15
-566,1 9 11 11,7.65,89.70%,7.79,3.02
-567,1 4 9 12,7.67,95.90%,8.33,3.37
-568,4 8 10 11,7.67,90.40%,7.98,3.45
-569,2 2 2 10,7.68,94.10%,8.13,3.33
-570,3 6 12 12,7.69,93%,8.24,3.48
-571,1 2 9 12,7.7,92.40%,8.32,3.81
-572,3 3 4 12,7.7,95%,8.34,3.2
-573,4 5 7 8,7.7,95.60%,8.19,3.15
-574,4 7 9 10,7.7,90.50%,8.19,3.66
-575,4 4 4 5,7.71,84.90%,7.7,3.66
-576,5 6 7 8,7.71,93.50%,8.21,3.11
-577,1 6 9 13,7.72,90.60%,8.12,3.96
-578,2 6 8 10,7.72,93.20%,8.22,3.44
-579,3 3 4 7,7.72,90.20%,8.18,3.48
-580,6 6 10 12,7.72,93.80%,8.14,3.07
-581,8 9 11 13,7.72,90.70%,8.16,3.68
-582,3 4 4 9,7.73,90.90%,8.24,3.29
-583,3 5 8 11,7.75,89.60%,8.05,3.47
-584,6 6 7 10,7.75,84.20%,7.85,4.09
-585,6 6 9 12,7.75,92.60%,8.12,3.31
-586,1 3 5 11,7.76,93.20%,8.11,2.86
-587,1 5 6 10,7.76,91.50%,8.1,3.24
-588,3 6 6 9,7.77,96.20%,8.24,2.96
-589,1 2 2 5,7.79,94.30%,8.03,2.83
-590,1 2 4 11,7.8,91.90%,8.06,2.8
-591,2 5 5 11,7.81,82.90%,7.62,3.34
-592,3 3 8 9,7.81,88.70%,8.19,3.79
-593,3 6 10 10,7.81,85.30%,7.81,3.64
-594,5 6 6 6,7.81,87.50%,7.91,3.44
-595,8 11 12 12,7.82,77.50%,7.26,3.55
-596,1 4 8 11,7.83,95.40%,8.26,2.85
-597,5 8 8 9,7.83,87%,8.05,3.92
-598,2 2 9 11,7.84,91.50%,8.16,3.28
-599,2 7 7 11,7.84,86.60%,7.89,3.67
-600,1 4 4 9,7.85,94.10%,8.25,3.34
-601,1 4 4 10,7.85,92%,8.06,3.4
-602,4 5 10 11,7.85,88.10%,8.28,4.17
-603,1 2 6 9,7.86,94.30%,8.4,3.58
-604,3 4 12 13,7.86,93.20%,8.45,3.71
-605,3 9 10 10,7.86,84.70%,7.73,3.43
-606,3 12 12 12,7.86,90.90%,8.17,3.42
-607,3 7 12 12,7.87,91.20%,8.23,3.41
-608,4 5 8 9,7.87,88.90%,8.25,3.97
-609,10 12 13 13,7.87,94.20%,8.32,2.93
-610,2 2 6 12,7.88,94.10%,8.48,3.48
-611,3 4 5 5,7.88,93.90%,8.56,3.65
-612,6 7 8 10,7.88,91.60%,8.4,3.57
-613,2 2 4 8,7.89,95.80%,8.41,3.08
-614,3 6 7 9,7.89,92.80%,8.34,3.48
-615,2 4 6 10,7.9,93.80%,8.32,3.37
-616,3 4 7 9,7.9,93.10%,8.33,3.73
-617,4 8 9 10,7.9,88.80%,8.1,3.33
-618,5 6 10 11,7.91,90.30%,8.22,3.54
-619,8 10 13 13,7.91,92.50%,8.29,3.33
-620,2 5 6 13,7.92,91.40%,8.41,3.61
-621,3 12 12 13,7.92,92.40%,8.3,3.26
-622,4 6 8 9,7.92,93.30%,8.35,3.38
-623,2 3 5 11,7.93,94.80%,8.43,3.29
-624,7 8 11 13,7.93,90.10%,8.48,3.85
-625,2 3 3 6,7.95,96.20%,8.45,2.96
-626,5 8 8 13,7.95,92.40%,8.33,3.65
-627,2 2 3 3,7.96,93.30%,8.29,3.26
-628,1 4 6 11,7.97,92.50%,8.28,3.23
-629,3 9 12 13,7.97,89.70%,8.44,3.93
-630,1 2 5 9,7.98,95%,8.48,3.09
-631,2 7 8 11,7.98,94.80%,8.57,3.59
-632,1 3 6 9,7.99,93.10%,8.49,3.2
-633,3 4 10 12,8,92.40%,8.38,3.5
-634,3 7 10 11,8,90.50%,8.27,3.37
-635,4 10 12 12,8,92%,8.42,3.34
-636,4 4 6 12,8.01,93.90%,8.69,3.77
-637,10 11 12 13,8.01,95.80%,8.62,3.48
-638,2 5 6 7,8.02,92.30%,8.49,3.62
-639,3 5 8 8,8.02,92.10%,8.48,3.85
-640,2 2 3 7,8.05,88.10%,8.43,3.8
-641,2 8 8 9,8.05,90.20%,8.35,3.34
-642,8 10 10 12,8.05,94.30%,8.52,3.4
-643,4 8 8 9,8.06,92.30%,8.3,3.05
-644,1 5 9 10,8.07,93.50%,8.59,3.77
-645,2 3 4 8,8.07,92.50%,8.78,4.01
-646,4 7 9 12,8.07,94.90%,8.58,3.25
-647,1 1 7 10,8.08,85.10%,8.12,4.24
-648,2 4 8 8,8.08,93.90%,8.75,4.12
-649,2 7 11 12,8.08,91.50%,8.43,3.4
-650,2 4 8 12,8.09,93.80%,8.86,4.19
-651,1 3 12 12,8.1,85.50%,8.39,4.52
-652,2 4 9 13,8.1,93.60%,8.44,3.5
-653,4 5 9 10,8.1,90.60%,8.47,3.64
-654,1 3 4 13,8.11,94.10%,8.7,3.66
-655,3 7 8 12,8.11,95%,8.61,3.22
-656,1 4 5 11,8.12,90.60%,8.37,3.88
-657,1 4 9 11,8.12,94.40%,8.78,3.71
-658,2 7 9 10,8.12,93.90%,8.52,3.2
-659,2 8 9 13,8.12,90.10%,8.37,3.57
-660,4 4 10 12,8.13,90.60%,8.54,3.93
-661,3 4 9 11,8.14,89.80%,8.4,4.03
-662,4 6 8 12,8.14,94.20%,8.76,3.48
-663,1 5 5 13,8.15,93.30%,8.37,3.21
-664,3 6 9 10,8.15,92.40%,8.48,3.56
-665,2 8 9 10,8.16,88.80%,8.35,3.78
-666,3 5 6 6,8.16,92.20%,8.67,3.6
-667,5 8 11 13,8.16,88.80%,8.32,3.37
-668,6 8 8 10,8.16,91%,8.62,4.02
-669,2 4 8 11,8.17,92.70%,8.49,3.62
-670,5 5 8 8,8.18,84.80%,8.36,3.85
-671,5 5 8 9,8.19,89.60%,8.64,3.88
-672,9 10 12 13,8.19,93.50%,8.76,3.56
-673,1 3 6 13,8.2,91.80%,8.44,3.17
-674,2 2 6 10,8.21,95.10%,8.64,3.02
-675,1 8 11 13,8.22,88.20%,8.32,3.55
-676,2 2 4 11,8.24,91.50%,8.59,3.66
-677,5 8 9 11,8.24,89.90%,8.49,3.67
-678,3 4 5 10,8.26,90.30%,8.62,3.99
-679,1 2 8 9,8.28,93.40%,8.87,3.42
-680,1 6 11 12,8.28,88.80%,8.26,2.97
-681,2 5 10 11,8.28,94.10%,8.85,3.5
-682,5 6 9 10,8.28,90.80%,8.74,3.78
-683,1 3 4 9,8.3,94.50%,8.8,3.81
-684,3 4 7 10,8.3,93.30%,8.54,3.42
-685,6 6 7 9,8.3,90.70%,8.63,3.71
-686,6 8 8 11,8.3,87.70%,8.55,3.82
-687,2 4 4 4,8.31,94.60%,8.76,3.19
-688,2 9 10 11,8.33,88.70%,8.3,3.31
-689,4 4 8 11,8.33,87%,8.32,3.69
-690,4 4 4 9,8.34,88.30%,8.43,3.94
-691,6 8 10 13,8.36,86.60%,8.43,3.64
-692,2 8 8 11,8.37,84%,8.09,3.45
-693,4 7 8 9,8.37,92.10%,8.77,3.69
-694,1 6 12 13,8.38,89.40%,8.45,3.24
-695,4 4 7 12,8.38,89.40%,8.75,4.13
-696,6 6 8 9,8.38,90.30%,8.64,3.44
-697,1 2 2 7,8.39,91.70%,8.72,3.35
-698,1 2 6 13,8.4,90.60%,8.88,3.9
-699,2 3 3 7,8.4,92.10%,8.85,3.69
-700,2 4 7 10,8.4,91.20%,8.67,3.82
-701,2 9 12 13,8.4,90.60%,8.82,3.86
-702,6 6 9 11,8.4,88.80%,8.82,3.98
-703,3 3 7 11,8.41,92.20%,8.7,3.56
-704,3 3 8 12,8.41,91.70%,8.97,3.88
-705,1 4 9 10,8.42,93.20%,8.85,3.63
-706,3 6 8 9,8.42,93.80%,8.82,3.16
-707,4 4 6 11,8.42,86.30%,8.51,4.42
-708,1 6 10 13,8.44,87.60%,8.63,4.1
-709,1 3 4 10,8.45,92.90%,8.73,3.35
-710,2 9 10 13,8.45,90.20%,9.07,4.07
-711,5 6 10 13,8.45,91.50%,9.12,4.24
-712,3 11 12 12,8.46,90.80%,8.71,3.28
-713,6 6 8 11,8.47,82.90%,8.3,4.31
-714,7 8 8 11,8.48,80.60%,8.17,4.53
-715,1 2 7 8,8.49,94.30%,9.01,3.53
-716,1 11 13 13,8.49,91.30%,8.83,3.74
-717,1 4 6 7,8.5,87.30%,8.78,4.49
-718,2 10 11 13,8.5,89.50%,8.58,3.43
-719,5 7 8 8,8.5,82.70%,8.43,4.67
-720,2 2 3 13,8.51,87.60%,8.54,3.6
-721,2 3 10 13,8.51,93.40%,9.02,3.94
-722,2 4 6 6,8.52,94.10%,9.27,3.98
-723,4 5 6 7,8.54,90.30%,8.94,3.82
-724,4 5 8 12,8.54,93.30%,9.08,3.71
-725,3 6 7 12,8.55,90%,8.81,3.76
-726,3 7 7 13,8.56,93.40%,8.84,3.13
-727,1 2 9 13,8.57,93.30%,9.21,4.17
-728,2 2 4 13,8.57,91.10%,9.09,4.16
-729,4 4 9 11,8.57,82.50%,8.26,4.41
-730,1 2 3 11,8.58,95.70%,8.98,3.39
-731,2 4 6 9,8.58,91.80%,9.06,4.19
-732,2 8 11 12,8.58,88.30%,8.82,4.18
-733,4 4 4 11,8.58,86%,8.81,4.65
-734,1 2 3 3,8.59,95.50%,8.93,2.98
-735,4 5 9 13,8.59,89.30%,9.33,4.75
-736,4 6 10 12,8.59,93.80%,9.17,3.92
-737,2 4 9 9,8.6,90%,8.71,3.82
-738,2 6 6 10,8.61,94.10%,9.05,3.64
-739,1 2 5 13,8.62,94.30%,9.16,3.68
-740,6 8 9 13,8.62,93.90%,9.3,3.96
-741,2 9 11 11,8.63,89.30%,9.08,4.03
-742,1 3 9 13,8.65,93.70%,9.25,4.13
-743,2 2 8 10,8.65,94.30%,9.26,3.29
-744,2 4 7 11,8.66,92.50%,8.98,3.79
-745,2 6 7 8,8.66,89.60%,8.97,3.88
-746,1 3 4 7,8.67,95%,9.48,3.83
-747,4 8 9 11,8.68,93%,9.16,3.89
-748,6 6 8 10,8.68,90.10%,8.9,3.96
-749,5 5 9 10,8.69,86.90%,9.06,4.3
-750,2 3 7 11,8.7,91.70%,9.09,4.21
-751,2 8 9 11,8.7,90.50%,9.1,3.77
-752,2 4 10 13,8.71,88.90%,9.07,4.43
-753,1 3 8 8,8.72,86.50%,8.95,4.51
-754,3 9 9 10,8.73,86.70%,8.78,3.81
-755,4 11 12 13,8.74,91.20%,9.18,3.87
-756,1 2 6 11,8.75,90%,9.19,4.25
-757,2 5 7 10,8.75,92.20%,9.15,3.72
-758,3 4 7 7,8.75,94%,9.41,3.8
-759,6 8 12 12,8.77,91.50%,9.48,4.23
-760,2 3 5 9,8.79,92%,9.31,4.31
-761,4 4 8 10,8.8,91.40%,9.13,4.36
-762,3 7 10 13,8.82,88.20%,9.22,4.63
-763,4 5 8 8,8.82,86.40%,8.8,4.02
-764,3 4 4 5,8.83,91.10%,9.13,3.95
-765,3 5 9 12,8.83,90%,9.14,4.01
-766,4 8 8 12,8.83,94.40%,9.39,3.84
-767,4 12 12 12,8.83,86%,9.14,4.72
-768,2 2 5 6,8.84,88.60%,9.16,4.38
-769,9 10 11 13,8.84,89.70%,9.09,3.8
-770,2 3 4 13,8.85,90.90%,9.19,3.9
-771,3 10 11 12,8.85,89.40%,9.04,3.71
-772,4 4 8 13,8.85,86.70%,8.78,4.2
-773,5 6 6 10,8.85,88.90%,9.06,3.86
-774,1 1 3 10,8.86,88.10%,8.88,3.86
-775,1 2 4 5,8.86,90.40%,9.27,4.21
-776,1 4 5 10,8.86,91.20%,9.01,3.61
-777,2 5 8 13,8.87,93%,9.39,3.91
-778,3 5 6 9,8.88,92.50%,9.31,3.67
-779,7 8 10 13,8.89,92.10%,9.4,4.08
-780,6 6 8 13,8.9,83.80%,8.68,4.24
-781,3 9 10 12,8.92,90.20%,9.17,3.63
-782,1 2 4 9,8.93,90.80%,9.28,3.92
-783,1 3 3 10,8.94,89.60%,9.04,4.1
-784,1 5 5 9,8.94,88.40%,9.09,3.7
-785,1 4 6 9,8.95,86.10%,8.81,4.02
-786,2 3 9 9,8.96,90.50%,9.32,3.95
-787,4 4 5 10,8.96,86.30%,9.07,4.66
-788,6 6 6 12,8.96,89.50%,9.18,4.48
-789,1 3 5 10,8.97,93.20%,9.46,3.7
-790,2 11 12 13,8.97,89.80%,9.34,3.94
-791,2 2 5 7,8.98,88.90%,9.03,3.68
-792,8 8 9 13,8.98,81.20%,8.59,4.69
-793,2 2 3 6,8.99,91.60%,9.28,4.01
-794,3 4 7 11,8.99,87.30%,9.05,4.58
-795,3 5 6 7,8.99,89.50%,9.04,3.8
-796,4 5 5 9,8.99,91.30%,9.32,3.88
-797,4 7 10 10,8.99,83.90%,8.74,4.08
-798,3 6 12 13,9,86.30%,8.93,4.31
-799,5 5 6 7,9,90.80%,9.44,4.03
-800,6 8 11 13,9,86.30%,9.38,4.5
-801,1 5 9 11,9.02,93.10%,9.53,3.93
-802,2 10 11 11,9.02,86.40%,9.05,3.99
-803,7 12 12 13,9.05,82.60%,8.84,4.09
-804,5 10 10 12,9.08,86.70%,9.06,3.56
-805,1 5 6 8,9.1,90%,9.15,3.84
-806,2 2 3 11,9.1,86.10%,9.11,4.12
-807,2 2 5 11,9.1,87.40%,9.42,4.41
-808,2 5 8 9,9.1,92.50%,9.42,3.73
-809,2 3 4 11,9.11,88.50%,9.26,4.08
-810,2 3 6 10,9.11,92.20%,9.33,3.75
-811,1 3 5 7,9.13,90%,9.38,4.02
-812,1 5 10 13,9.13,88.60%,9.15,3.43
-813,5 7 8 9,9.18,88.90%,9.48,4.21
-814,5 11 12 12,9.19,82.80%,8.89,4.07
-815,8 8 8 13,9.19,84.70%,9.17,4.29
-816,3 3 6 11,9.21,90.20%,9.66,4.44
-817,3 7 8 9,9.21,86.90%,9.2,3.82
-818,2 8 8 10,9.22,92.80%,9.44,3.77
-819,4 7 7 11,9.22,87.50%,9.49,4.52
-820,2 3 8 12,9.23,93.20%,9.73,3.79
-821,3 5 5 9,9.23,83.30%,8.9,4.05
-822,5 6 7 12,9.23,84.60%,9.15,4.29
-823,2 3 4 4,9.25,94%,9.67,3.57
-824,3 3 3 9,9.25,84.50%,9.27,4.67
-825,1 2 7 9,9.26,93.30%,9.74,3.81
-826,1 9 11 13,9.26,88%,9.47,4.01
-827,2 2 6 8,9.27,95.50%,9.69,3.59
-828,5 8 9 12,9.29,92.30%,9.72,3.87
-829,1 1 4 10,9.3,85.60%,9.15,5.02
-830,4 5 10 13,9.3,91.10%,9.74,4.38
-831,2 3 3 9,9.31,93.20%,9.71,3.76
-832,3 3 4 9,9.34,92.10%,9.67,3.77
-833,3 4 6 10,9.34,89.80%,9.84,4.72
-834,3 4 6 12,9.34,93.30%,9.85,3.99
-835,3 7 7 10,9.34,89%,9.62,4.27
-836,3 9 11 12,9.35,90.10%,9.79,4.37
-837,2 4 4 7,9.37,89.40%,9.55,4.27
-838,3 4 5 9,9.38,84.90%,9.17,4.45
-839,4 5 7 12,9.4,87.50%,9.33,3.91
-840,2 7 9 13,9.41,87.20%,9.71,4.77
-841,5 9 9 11,9.44,89.50%,9.64,3.84
-842,6 6 6 8,9.44,91.40%,9.75,4.17
-843,1 7 12 12,9.45,80.60%,8.78,4.34
-844,1 6 9 10,9.46,91.80%,9.7,3.71
-845,2 5 6 10,9.46,88%,9.51,4.42
-846,3 8 9 12,9.46,90.20%,9.87,4.4
-847,2 3 6 11,9.47,90.20%,9.82,4.38
-848,2 4 5 9,9.49,86.30%,9.52,4.62
-849,4 7 11 12,9.49,86.30%,9.64,4.7
-850,2 2 4 9,9.51,90.50%,9.84,4.3
-851,2 6 8 8,9.51,92.50%,9.87,4.08
-852,4 5 5 7,9.51,82.40%,9.15,4.34
-853,2 3 8 11,9.53,92.70%,10.12,4.06
-854,4 7 8 13,9.53,90.70%,9.97,4.28
-855,6 6 8 12,9.53,90.80%,9.88,4.21
-856,5 6 8 9,9.54,89.90%,9.82,4.35
-857,3 3 5 9,9.55,87%,9.56,3.99
-858,4 5 7 11,9.55,87.30%,9.77,4.97
-859,4 9 12 12,9.56,89.40%,10.06,4.28
-860,3 3 6 9,9.57,94.20%,10.28,4.1
-861,3 5 9 13,9.57,91.30%,9.91,4.01
-862,3 7 8 13,9.57,84%,9.5,4.79
-863,4 4 5 7,9.57,85.10%,9.27,4.41
-864,1 5 5 11,9.61,88%,9.77,4.11
-865,2 4 6 13,9.65,87.20%,9.94,4.99
-866,6 7 9 12,9.65,86.80%,9.59,4.66
-867,1 5 6 13,9.7,90.30%,10.08,4.65
-868,3 8 8 11,9.71,89.50%,9.88,4.57
-869,2 3 4 10,9.72,91.90%,10.1,4.16
-870,6 6 8 8,9.72,86%,9.63,4.4
-871,4 9 9 10,9.73,89.90%,9.98,4.04
-872,3 3 7 9,9.74,90.60%,9.91,3.75
-873,1 7 9 10,9.78,86.80%,9.74,3.86
-874,2 3 9 13,9.79,87.50%,10.07,5.28
-875,3 3 3 5,9.79,85.70%,9.46,3.98
-876,5 6 9 12,9.79,87.20%,9.84,4.27
-877,6 9 10 11,9.8,91.40%,10.13,4.08
-878,2 4 5 11,9.82,87.60%,10.03,4.69
-879,1 2 5 10,9.83,91.70%,10.06,3.98
-880,2 2 2 5,9.85,78.70%,8.96,4.68
-881,6 12 13 13,9.85,87.30%,9.92,3.85
-882,3 3 6 10,9.87,86.40%,9.7,4.17
-883,3 4 8 11,9.88,87.20%,9.9,4.84
-884,4 4 6 13,9.88,82.60%,9.4,5.04
-885,4 6 7 10,9.88,86.50%,10.04,4.72
-886,6 11 11 12,9.89,86.40%,9.76,3.92
-887,3 6 9 11,9.91,86.80%,9.87,4.65
-888,5 7 9 13,9.94,90.90%,10.39,4.07
-889,2 4 12 12,9.95,85.70%,9.97,4.7
-890,4 9 11 12,9.96,89%,10.16,4.25
-891,7 8 9 13,9.96,84%,9.71,4.26
-892,2 6 12 12,9.97,89%,10.49,5.13
-893,3 4 5 6,9.97,84%,9.91,4.98
-894,6 10 12 12,9.98,88.80%,10.25,4.61
-895,5 5 5 9,10,87.60%,9.76,4.11
-896,5 5 6 11,10,87.10%,9.97,4.57
-897,6 8 9 9,10,86.20%,10.02,4.07
-898,3 3 6 13,10.01,86.40%,10.24,5.25
-899,6 8 9 11,10.01,84.40%,9.79,4.64
-900,1 3 3 11,10.02,88.20%,9.98,4.68
-901,4 5 6 10,10.02,90.30%,10.49,4.36
-902,1 2 4 7,10.03,89.10%,10.3,4.82
-903,2 5 8 11,10.03,85.90%,10.22,5.08
-904,3 4 4 13,10.03,88.80%,10.08,4.15
-905,6 7 8 9,10.03,84.50%,9.67,4.35
-906,1 11 11 13,10.06,87.70%,10.01,4.25
-907,1 8 10 11,10.07,86.90%,10.02,3.39
-908,2 3 6 9,10.1,93.10%,10.54,4.14
-909,1 3 5 9,10.11,90.60%,10.39,4.46
-910,3 3 7 12,10.11,84.50%,10.02,5.26
-911,4 5 7 9,10.12,86.70%,10.41,5
-912,1 2 8 13,10.13,91.30%,10.43,4.73
-913,4 6 6 9,10.14,87.60%,10.45,5.26
-914,1 4 4 8,10.15,89.70%,10.37,5.43
-915,1 5 10 11,10.16,86.30%,9.92,3.62
-916,3 4 6 11,10.16,88.90%,10.38,4.56
-917,2 4 8 9,10.17,84%,9.9,4.57
-918,1 4 5 13,10.18,87.70%,10.29,4.48
-919,2 2 7 12,10.19,83.20%,9.78,4.39
-920,3 3 6 7,10.19,88.70%,10.6,4.55
-921,1 5 9 13,10.2,84.90%,10.1,4.71
-922,5 6 7 13,10.2,86.40%,10.44,5.42
-923,5 5 8 10,10.21,81.30%,9.68,3.96
-924,2 4 6 12,10.23,94.50%,11.06,4.75
-925,6 7 8 11,10.24,83.90%,9.96,4.83
-926,7 9 9 13,10.26,88%,10.34,4.64
-927,3 6 9 12,10.27,92.70%,10.72,4.16
-928,6 9 12 13,10.28,88.30%,10.45,4.3
-929,4 7 9 13,10.29,84.30%,10.35,5.72
-930,5 6 8 12,10.29,87.90%,10.35,4.06
-931,2 4 6 7,10.31,90.10%,10.42,4.27
-932,2 5 10 10,10.32,78.30%,9.42,3.9
-933,6 6 7 12,10.32,83.80%,10.01,4.72
-934,6 9 9 11,10.33,82.40%,9.64,5
-935,5 8 11 12,10.34,86.90%,10.5,4.16
-936,5 6 8 10,10.35,87%,10.31,4.38
-937,6 11 12 13,10.36,80.10%,9.55,4.95
-938,2 2 8 8,10.38,91.40%,10.72,4.71
-939,2 7 12 13,10.44,80.40%,9.67,4.84
-940,2 6 8 12,10.45,94%,11.09,4.51
-941,3 4 9 13,10.45,79.60%,9.45,5.34
-942,4 5 10 12,10.45,86.20%,10.27,4.29
-943,1 2 7 11,10.5,88.10%,10.57,4.68
-944,4 5 6 8,10.5,87.30%,10.41,4.23
-945,6 10 12 13,10.5,82.50%,10.05,4.71
-946,1 3 9 9,10.51,85.20%,10.11,4.02
-947,1 4 4 11,10.51,86.70%,10.49,5.21
-948,2 3 9 10,10.55,90%,10.75,4.18
-949,1 2 3 13,10.59,91.70%,10.95,4.79
-950,1 6 6 6,10.59,85.60%,10.17,5.05
-951,1 2 2 9,10.62,82.40%,9.9,4.48
-952,1 3 6 11,10.64,88.10%,10.57,4.29
-953,5 10 12 13,10.64,83.50%,10.21,4.41
-954,2 3 6 6,10.65,91.90%,11.04,4.36
-955,6 7 10 12,10.66,85.20%,10.62,4.7
-956,7 8 8 12,10.66,83.60%,10.32,4.47
-957,3 4 6 8,10.69,90.70%,11.2,5.02
-958,1 7 9 11,10.71,85.10%,10.44,4.24
-959,2 3 6 13,10.71,90%,10.81,4.54
-960,2 2 5 12,10.72,84.80%,10.48,5.13
-961,2 6 8 13,10.72,87.20%,10.87,5.06
-962,8 8 10 12,10.72,78.70%,9.71,5.6
-963,1 3 8 13,10.73,90.40%,11.06,5.02
-964,4 4 7 10,10.74,75.20%,8.92,4.39
-965,1 7 10 13,10.75,83.70%,10.33,4.61
-966,1 9 10 13,10.76,83%,10.25,4.39
-967,3 3 4 11,10.76,88.60%,10.88,5.41
-968,2 5 7 7,10.77,82.90%,10.41,4.71
-969,3 9 10 13,10.83,83%,10.85,6.21
-970,2 3 4 7,10.87,86.70%,10.78,4.85
-971,4 4 8 12,10.87,92%,11.49,4.93
-972,1 2 6 10,10.89,86.80%,10.8,4.94
-973,1 5 12 12,10.9,81.30%,10.12,4.86
-974,5 6 6 8,10.92,81.50%,10.49,5.85
-975,7 7 8 11,10.95,80.40%,10.02,4.42
-976,1 3 7 10,10.97,86.50%,10.9,5.15
-977,3 3 9 12,10.97,87%,10.96,4.84
-978,3 5 7 10,10.99,84.50%,10.67,5.1
-979,4 10 12 13,10.99,81.50%,10.2,5.37
-980,2 3 10 12,11,86.40%,11.17,4.04
-981,3 4 6 6,11.01,90.50%,11.26,4.63
-982,5 8 8 8,11.02,80.20%,10.42,5.19
-983,6 8 8 12,11.02,88.10%,11.31,4.99
-984,2 3 4 9,11.05,88.20%,11.11,4.67
-985,2 6 7 11,11.07,82.60%,10.49,5.02
-986,5 9 12 12,11.07,83%,10.77,4.73
-987,1 2 7 12,11.1,77.90%,9.65,5.55
-988,2 4 5 6,11.11,91%,11.61,4.46
-989,5 5 8 13,11.11,80.80%,10.59,4.46
-990,2 3 3 10,11.15,84.60%,11.25,4.87
-991,3 4 8 12,11.17,87.70%,11.15,5.42
-992,2 4 6 11,11.18,85.10%,10.98,5.39
-993,2 2 8 9,11.21,87%,11.42,4.95
-994,1 5 6 7,11.22,88.70%,11.53,4.63
-995,5 8 10 11,11.22,87.10%,10.92,4.73
-996,4 4 9 12,11.24,78.30%,10.16,4.72
-997,2 5 6 6,11.25,78%,9.88,5.53
-998,2 4 9 12,11.26,87.20%,11.26,4.76
-999,4 8 11 13,11.28,82.40%,10.45,5.14
-1000,4 9 10 13,11.28,82.40%,10.72,4.8
-1001,3 3 5 12,11.31,86.70%,11.38,5.1
-1002,2 4 4 6,11.32,90.20%,11.66,4.67
-1003,2 4 6 8,11.33,93.30%,11.77,4.44
-1004,3 4 6 9,11.33,82.50%,10.75,5.42
-1005,2 3 4 5,11.35,84.40%,10.97,5.57
-1006,3 3 6 12,11.36,86.90%,11.51,6.01
-1007,3 6 7 13,11.36,82.50%,10.76,6.05
-1008,1 4 7 7,11.38,85.50%,11.25,4.6
-1009,4 4 5 11,11.39,85%,11.3,4.82
-1010,6 7 9 9,11.41,80.40%,10.68,5.9
-1011,7 8 10 10,11.42,79.10%,10.55,4.89
-1012,4 8 9 13,11.43,82.70%,10.72,5.97
-1013,1 3 4 8,11.45,89.60%,11.57,4.61
-1014,8 9 9 12,11.45,82.40%,10.81,4.71
-1015,3 7 8 11,11.51,83%,11.11,5.62
-1016,4 6 7 12,11.52,81.40%,11.17,5.36
-1017,1 6 7 9,11.54,84.40%,11.3,4.67
-1018,3 7 9 12,11.54,85.90%,11.56,5.56
-1019,4 5 6 13,11.55,78%,10.18,5.07
-1020,3 3 5 13,11.57,84.90%,11.35,4.69
-1021,2 3 5 7,11.58,88.90%,11.67,4.97
-1022,4 6 8 13,11.61,81%,10.84,5.09
-1023,2 7 9 11,11.62,83.50%,11.26,5.31
-1024,1 3 7 12,11.64,85.40%,10.98,4.98
-1025,3 5 7 9,11.66,86.20%,11.44,4.86
-1026,2 6 10 13,11.67,84.60%,11.3,5.46
-1027,6 8 9 12,11.67,86.60%,11.68,5.06
-1028,1 5 7 9,11.68,84.40%,11.15,4.84
-1029,1 3 7 7,11.69,85.20%,11.44,4.62
-1030,2 9 11 13,11.7,82.20%,11.25,5.36
-1031,3 7 9 11,11.7,88.10%,11.82,4.84
-1032,4 8 8 10,11.71,85.70%,11.63,5.51
-1033,1 4 8 9,11.73,89%,11.9,5.07
-1034,2 5 11 12,11.73,77.10%,10.24,5.29
-1035,2 3 7 13,11.77,86.30%,11.62,5.24
-1036,3 5 10 13,11.79,82.30%,11.04,5.37
-1037,3 5 6 10,11.83,85.80%,11.63,5.59
-1038,4 5 5 10,11.86,81.20%,10.96,4.46
-1039,7 8 9 10,11.86,79.80%,11.04,5.33
-1040,2 5 8 10,11.88,82.90%,11.02,4.82
-1041,4 6 6 12,11.88,86%,11.56,5.8
-1042,5 8 10 12,11.88,84.30%,11.18,5.05
-1043,3 3 3 11,11.91,78%,10.71,5.38
-1044,5 5 8 12,11.91,79.50%,10.98,5.06
-1045,1 3 3 6,11.93,87.20%,11.83,5.16
-1046,2 5 7 13,11.99,83.80%,11.74,5.61
-1047,1 5 8 11,12.07,89.20%,12.42,5.56
-1048,2 3 5 13,12.07,85.50%,11.88,5.34
-1049,3 4 8 9,12.07,88.10%,12.24,5.03
-1050,2 5 5 7,12.09,82%,11.59,4.86
-1051,4 10 11 13,12.16,76.20%,10.51,5.57
-1052,2 6 6 7,12.21,78.40%,10.67,5.54
-1053,7 10 10 12,12.21,78%,11.01,5.07
-1054,2 5 7 11,12.22,82.40%,11.59,5.71
-1055,4 4 6 9,12.24,77.40%,10.48,5.57
-1056,6 9 10 12,12.25,80.50%,11.36,5.94
-1057,6 9 9 12,12.26,87%,12.17,5.82
-1058,2 3 6 12,12.28,91%,12.71,5.2
-1059,2 4 4 5,12.28,82.10%,11.3,5.16
-1060,2 4 4 10,12.28,89.60%,12.37,5.14
-1061,3 3 3 4,12.34,82.40%,11.57,6.01
-1062,2 2 2 7,12.35,73.30%,9.51,5.67
-1063,4 9 10 11,12.38,76.80%,10.69,5.81
-1064,7 9 10 11,12.41,76.90%,10.81,5.32
-1065,1 4 5 7,12.43,87.90%,12.45,5.27
-1066,3 4 9 9,12.43,84.20%,12.03,4.99
-1067,3 3 6 8,12.46,74.60%,10.38,5.58
-1068,4 4 7 8,12.52,83.80%,12.28,5.55
-1069,3 5 11 12,12.56,79.90%,11.32,5.7
-1070,4 4 6 10,12.57,87.50%,12.6,5.35
-1071,4 6 9 13,12.58,85.50%,12.59,5.18
-1072,3 5 6 11,12.59,82.50%,11.93,6.55
-1073,1 5 8 13,12.64,80.10%,11.42,5.73
-1074,3 3 9 13,12.64,74.60%,10.56,5.85
-1075,7 7 9 10,12.64,75.80%,11.23,5.19
-1076,2 4 8 13,12.7,82.20%,12.07,5.92
-1077,4 4 6 8,12.7,84.20%,12.14,6.52
-1078,2 4 5 7,12.71,78.40%,11.3,5.62
-1079,1 4 7 9,12.74,82.20%,12,5.11
-1080,4 7 10 12,12.74,79.80%,11.37,5.54
-1081,4 5 8 13,12.76,78%,11.33,5.89
-1082,5 6 10 12,12.78,75.80%,10.91,5.45
-1083,6 9 11 13,12.78,72.50%,10.29,5.96
-1084,5 7 7 9,12.8,74.20%,11.06,5.06
-1085,1 4 5 9,12.83,81.90%,11.81,6.41
-1086,5 7 11 13,12.83,70.80%,10,5.17
-1087,3 3 5 10,12.84,82.90%,12.05,5.32
-1088,4 8 12 12,12.85,85.60%,12.23,5.83
-1089,2 3 3 3,12.87,82.10%,11.84,5.96
-1090,2 5 10 13,12.92,82.10%,12.4,5.91
-1091,1 4 6 6,12.97,80%,11.77,6.38
-1092,2 3 8 8,12.98,80.40%,11.84,5.7
-1093,6 9 11 12,13.02,75.90%,10.98,5.93
-1094,1 1 6 9,13.05,81%,11.34,6.4
-1095,5 9 10 13,13.05,78%,11.54,5.87
-1096,1 5 6 11,13.06,81%,11.93,6.47
-1097,4 4 5 12,13.09,79%,11.5,5.91
-1098,3 5 6 13,13.1,76%,11.28,5.52
-1099,1 4 5 8,13.16,82.70%,12.46,5.64
-1100,5 5 7 10,13.19,73.80%,11.38,4.96
-1101,2 2 2 9,13.21,76.60%,10.98,6.35
-1102,5 7 10 10,13.28,76.50%,12.05,5.27
-1103,2 3 5 10,13.29,80.20%,12.07,5.35
-1104,2 8 10 13,13.34,80.90%,12.56,5.95
-1105,6 7 7 10,13.34,73%,10.83,5.3
-1106,2 7 10 11,13.37,78.90%,12.25,6.04
-1107,3 5 7 8,13.37,85.40%,12.95,5.94
-1108,6 8 11 12,13.39,77.90%,12.23,5.74
-1109,1 3 6 10,13.46,82.10%,12.08,6.87
-1110,4 10 10 12,13.46,78.40%,12.16,6.28
-1111,7 10 11 13,13.49,73.30%,11.07,5.79
-1112,4 5 8 10,13.55,75.90%,11.31,5.9
-1113,3 8 9 11,13.57,80.10%,12.64,6.8
-1114,6 12 12 12,13.66,76.60%,11.63,6.62
-1115,2 10 12 13,13.77,81.40%,13.06,6.04
-1116,6 7 10 10,13.83,70.80%,10.47,5.73
-1117,2 3 7 8,13.89,80.20%,12.68,5.59
-1118,3 5 9 9,13.9,79.40%,12.9,6.13
-1119,2 2 5 9,13.93,74.30%,11.71,6.28
-1120,2 4 7 9,13.95,80.60%,13.14,6.36
-1121,2 3 8 9,14.01,81.30%,12.85,6.23
-1122,3 5 5 11,14.19,79%,13.09,5.43
-1123,3 3 9 11,14.2,79.10%,13.05,5.65
-1124,5 7 9 11,14.2,71.10%,11.09,5.89
-1125,1 3 7 9,14.22,80.40%,12.74,5.47
-1126,2 4 9 10,14.24,79.30%,12.99,6
-1127,3 5 12 12,14.26,67.20%,9.62,5.75
-1128,3 3 8 10,14.27,80.30%,13.49,5.53
-1129,4 4 5 13,14.32,73.30%,11.87,7.01
-1130,3 4 4 11,14.39,76.40%,12.57,6.37
-1131,4 5 8 11,14.4,73.80%,11.71,6.59
-1132,3 4 4 10,14.42,77.10%,12.1,6.66
-1133,2 6 12 13,14.46,78.60%,13.39,5.8
-1134,3 6 11 13,14.46,73.20%,11.3,6.74
-1135,1 3 5 6,14.49,86.30%,14.16,5.91
-1136,3 3 4 13,14.49,76.80%,12.26,6.76
-1137,4 6 9 12,14.54,77.80%,12.61,7.02
-1138,6 10 10 13,14.57,69.10%,10.81,5.99
-1139,2 5 9 10,14.58,78.10%,13.05,6.18
-1140,5 5 9 11,14.6,71.10%,12.27,5.16
-1141,3 4 7 12,14.65,82.40%,14.04,6.09
-1142,2 6 9 12,14.66,82.70%,13.71,6.54
-1143,5 6 6 12,14.72,80.70%,13.46,6.01
-1144,2 5 9 11,14.75,76.50%,13.08,6.84
-1145,5 9 9 12,14.78,75.70%,12.97,6.67
-1146,4 4 4 10,14.82,76.90%,12.75,6.5
-1147,3 4 10 10,14.86,75.50%,12.9,6.06
-1148,2 2 5 10,14.91,78.60%,13.45,5.78
-1149,3 3 9 10,14.94,78.10%,13.6,6.1
-1150,4 7 8 12,14.95,79.40%,13.86,6.69
-1151,7 9 12 12,14.96,64.20%,9.28,5.41
-1152,2 2 7 7,14.97,69.80%,11.21,5.96
-1153,3 6 8 13,14.97,81.30%,14.28,6.12
-1154,2 2 3 4,14.98,77.40%,13.18,6.13
-1155,5 7 8 10,14.99,71.20%,12.15,5.63
-1156,1 5 11 12,15.01,71%,11.36,6.19
-1157,4 6 8 10,15.11,76.70%,12.71,7.59
-1158,2 4 10 11,15.16,79.20%,13.93,6.45
-1159,3 6 6 13,15.17,72.80%,12.06,6.38
-1160,3 6 8 12,15.17,80.50%,13.79,6.15
-1161,1 4 4 6,15.31,79.60%,13.55,6.77
-1162,2 5 8 8,15.42,71%,11.68,6.59
-1163,7 7 7 12,15.42,65.20%,8.98,6.11
-1164,4 5 7 13,15.43,72.80%,12.42,6.22
-1165,5 5 5 12,15.48,67.40%,10.23,6.42
-1166,2 6 11 12,15.49,77.70%,13.96,6.35
-1167,2 3 8 10,15.61,82.20%,14.94,6.54
-1168,1 5 5 10,15.65,71.20%,11.64,6.98
-1169,2 5 5 9,15.7,78.50%,14.39,5.98
-1170,5 7 12 12,15.74,66%,10.44,6.26
-1171,4 7 8 11,15.79,69%,10.78,6.62
-1172,3 3 8 13,15.87,69.70%,11.39,6.25
-1173,1 3 12 13,16.02,75.60%,13.66,6.86
-1174,1 3 8 10,16.05,71%,12.31,6.49
-1175,2 3 6 7,16.08,80.80%,15.05,6.62
-1176,2 2 6 7,16.26,72.50%,13.03,6.84
-1177,5 6 9 13,16.28,69%,12.46,6.11
-1178,6 10 11 12,16.3,69.70%,12.94,6.17
-1179,4 9 9 12,16.33,71.80%,13.42,6.47
-1180,2 6 6 9,16.46,72.80%,13.03,6.55
-1181,1 3 11 12,16.48,75.60%,14.03,7.05
-1182,3 10 11 13,16.48,71.20%,13.31,6.3
-1183,1 4 10 12,16.53,72.10%,12.81,6.61
-1184,5 5 6 8,16.54,78.10%,14.9,6.54
-1185,6 8 9 10,16.55,71.20%,12.69,7.07
-1186,2 6 10 11,16.57,73.10%,13.69,6.98
-1187,3 9 9 13,16.62,67.20%,12.08,6.04
-1188,2 4 4 9,16.71,73.40%,13.42,7.28
-1189,10 12 12 12,16.86,64.10%,10.25,5.73
-1190,2 3 7 10,16.91,76.90%,14.96,6.78
-1191,2 7 10 10,17.01,68.10%,13.35,5.81
-1192,8 8 8 11,17.01,63.50%,10.21,5.97
-1193,6 6 9 10,17.09,69.80%,13.35,6.88
-1194,2 3 7 7,17.1,76.50%,15.28,6.63
-1195,6 6 6 10,17.22,66%,11.49,6.49
-1196,5 7 7 10,17.26,68%,13.19,6.49
-1197,2 2 9 12,17.27,72.90%,14.93,6.39
-1198,3 6 8 10,17.4,66.60%,11.97,6.77
-1199,3 5 7 12,17.46,71%,14.01,7.67
-1200,3 5 8 9,17.49,75.80%,15.67,7.53
-1201,3 9 9 11,17.68,70.50%,13.69,7.48
-1202,2 8 10 12,17.74,79.80%,16.35,7.45
-1203,3 8 9 13,17.76,73.40%,15.28,7.09
-1204,9 9 9 12,17.85,63.80%,9.66,6.59
-1205,3 4 8 13,17.98,70%,13.65,7.61
-1206,2 6 7 10,18.01,69.80%,12.96,7.22
-1207,2 6 9 10,18.43,69.70%,14.78,6.85
-1208,4 5 6 9,18.44,75.30%,16.49,7.02
-1209,8 10 12 13,18.47,67.30%,14.31,6.27
-1210,2 6 8 9,18.52,72.40%,15.58,6.65
-1211,3 5 12 13,18.66,67.90%,14.53,6.59
-1212,2 4 7 8,18.98,76.50%,16.76,7.16
-1213,4 8 9 12,18.98,72.50%,16.31,6.84
-1214,3 5 9 10,19.12,68.10%,14.34,7.53
-1215,2 3 10 10,19.18,69.50%,14.5,7.5
-1216,2 2 4 12,19.2,75.10%,15.22,9.15
-1217,2 2 9 10,19.3,65.30%,14.24,7.34
-1218,2 7 10 12,19.38,70.20%,15.86,7.05
-1219,2 2 4 4,19.5,72%,15.01,8.18
-1220,2 3 11 11,19.52,68.30%,14.88,7.67
-1221,1 3 3 8,19.57,74%,15.7,7.86
-1222,6 8 8 9,19.59,63%,11.71,7.2
-1223,8 10 12 12,19.59,63.60%,11.62,7.37
-1224,10 10 10 12,19.93,61.50%,10.24,6.8
-1225,2 3 9 12,20.01,67.30%,13.12,7.61
-1226,6 8 10 11,20.09,64.60%,13.61,7.17
-1227,7 8 8 10,20.1,61.20%,12.07,7.63
-1228,1 5 7 10,20.39,69.50%,16.27,7.63
-1229,3 5 10 11,20.53,69.50%,15.99,8.37
-1230,5 9 12 13,20.53,64.40%,15.67,7.03
-1231,1 3 8 11,20.54,73.40%,16.85,8.28
-1232,2 7 12 12,20.66,62.80%,12.25,7.39
-1233,1 2 8 10,20.88,67.70%,15.12,7.81
-1234,9 11 12 12,20.88,59.50%,10.72,6.43
-1235,1 6 10 12,21.11,65.80%,13.99,7.82
-1236,4 4 8 9,21.14,69.60%,16.8,8.28
-1237,2 3 3 5,21.16,69.50%,15.7,8.49
-1238,3 6 9 13,21.16,68.90%,17.22,7.59
-1239,3 3 7 8,21.37,68.30%,16.85,8.09
-1240,3 5 7 11,21.39,64%,14.47,7.8
-1241,2 3 5 8,21.44,72.90%,17.88,7.71
-1242,4 5 7 10,21.65,63.60%,14.31,7.8
-1243,5 7 10 13,22.5,61.60%,16.46,7.35
-1244,2 9 10 10,22.59,60.60%,16.58,7.36
-1245,2 4 5 10,22.9,67%,17.3,8.07
-1246,2 3 6 8,23.06,75.30%,20.16,8.88
-1247,5 9 11 13,23.25,61.50%,16.69,7.75
-1248,3 4 5 13,23.39,65.60%,17.76,8.49
-1249,1 5 9 12,23.75,62.60%,14.09,8.74
-1250,3 4 4 4,24.47,67.30%,17.82,9.81
-1251,5 7 9 10,24.53,61%,15.63,8.68
-1252,6 6 7 11,24.57,58%,13.11,8.12
-1253,2 5 10 12,24.67,63.70%,17.88,8.55
-1254,4 10 11 12,24.71,62.90%,17.56,8.97
-1255,2 4 5 5,24.72,60.40%,15.23,8.46
-1256,2 2 5 8,24.84,63.50%,16.69,9.19
-1257,8 8 9 12,24.93,56.70%,12.65,7.52
-1258,3 4 7 8,25.04,61.10%,14.33,8.25
-1259,5 6 6 9,25.04,59.20%,14.12,8.75
-1260,3 5 10 10,25.12,54.30%,12.34,6.59
-1261,2 2 6 11,25.22,62.20%,18.4,8.58
-1262,4 9 10 12,25.27,61.70%,17.05,9.01
-1263,8 9 11 11,25.64,58%,15.82,8.41
-1264,3 9 11 13,26.26,57.60%,13.9,8.31
-1265,4 7 8 10,26.26,62.90%,18.82,9.21
-1266,5 6 7 9,26.31,60.10%,16.12,9.07
-1267,2 6 9 9,26.53,58%,14.29,8.07
-1268,2 3 13 13,26.93,58.40%,17.55,9.57
-1269,1 7 12 13,27.75,56.30%,15.1,9.28
-1270,1 4 9 13,27.76,61.10%,18.83,10.02
-1271,4 10 10 11,27.76,54.80%,19.34,9.04
-1272,3 4 5 11,28.16,63.30%,20.54,9.87
-1273,3 3 6 6,28.41,58%,14.18,8.38
-1274,6 6 9 13,28.91,53.80%,13.19,8.3
-1275,4 5 9 12,29.11,60.90%,22.06,10.07
-1276,2 3 7 9,30.64,57.60%,18.33,10.12
-1277,4 4 7 13,30.78,53.80%,15.04,9.44
-1278,2 2 7 10,30.9,53.40%,16.2,8.61
-1279,2 5 12 13,31.29,58%,22.35,9.97
-1280,1 4 6 10,31.39,56.30%,18.81,9.37
-1281,3 6 7 10,31.92,57.40%,21.85,10.37
-1282,1 2 7 7,32.73,55%,17.28,10.37
-1283,2 5 8 12,32.82,54.60%,17.78,9.75
-1284,3 8 10 12,34.45,53.60%,20.48,10.33
-1285,6 7 11 11,35.1,46.40%,19.8,10.15
-1286,2 2 3 10,35.18,54.90%,18.21,10.27
-1287,2 5 7 9,35.29,52.70%,23.49,10.35
-1288,2 4 7 7,35.73,50.70%,17.22,9.67
-1289,2 2 6 9,36.11,52.10%,17.94,10.05
-1290,7 9 11 12,36.61,50%,17.36,10.44
-1291,4 7 9 11,37.32,51.40%,22.71,11.23
-1292,2 2 3 5,38.49,51.50%,15.34,8.81
-1293,5 5 8 11,39.1,45.80%,24.18,10.92
-1294,3 6 6 10,39.12,50.30%,18.48,10.7
-1295,7 8 9 12,41.23,48.70%,16.03,10.12
-1296,1 5 11 11,41.41,43.30%,15.93,9.75
-1297,5 10 10 11,42.21,41.30%,14.82,7.03
-1298,1 2 9 11,45.03,44.90%,22.27,12.16
-1299,1 5 5 5,45.49,43.60%,11.92,7.27
-1300,4 9 11 11,47.16,43.30%,25.26,13.98
-1301,5 9 10 11,47.17,42.70%,28.12,13.4
-1302,1 7 13 13,47.38,41.70%,13.99,8.41
-1303,6 7 7 11,48.6,42.40%,27.65,14.51
-1304,3 3 7 7,48.84,41.20%,12.6,7.37
-1305,5 10 10 13,49.61,38.50%,17.09,8.06
-1306,3 5 8 13,50.53,41.90%,30.48,13.89
-1307,8 9 10 12,51.24,42.50%,21.95,13.98
-1308,2 5 6 9,52.95,44%,27.17,13.41
-1309,1 6 11 13,54.62,38.10%,18.47,9.98
-1310,1 3 9 10,55.16,40.80%,23.19,12.28
-1311,4 6 6 10,55.98,40.20%,22.83,12.31
-1312,4 4 7 7,56.41,38.80%,14.56,8.11
-1313,2 2 11 11,57.22,40.10%,13.2,8.62
-1314,5 7 9 12,57.59,39.60%,17.8,11.41
-1315,4 5 6 12,58.44,44.10%,21.82,16.05
-1316,4 6 7 9,58.49,42%,19.47,12.15
-1317,6 12 12 13,60.5,37.90%,15.11,8.3
-1318,4 4 10 10,60.61,39.70%,13.47,9.13
-1319,4 7 11 13,61.01,37%,30.84,16.48
-1320,4 5 6 11,61.48,38%,19.42,10.88
-1321,3 5 8 12,62.47,38%,27.97,13.34
-1322,3 4 6 13,63.1,40.40%,20.37,11.69
-1323,6 7 8 12,63.27,40.70%,16.9,12.18
-1324,2 4 11 12,63.58,39.40%,23.37,13.12
-1325,5 7 10 11,64.03,35.50%,23.76,13.12
-1326,2 2 13 13,64.44,37.30%,14.05,8.25
-1327,6 11 12 12,64.75,36.30%,15.4,8.93
-1328,5 8 9 13,64.8,34.90%,34.56,16.2
-1329,7 10 12 13,67.86,37.40%,22.3,12.55
-1330,5 6 8 13,68.54,36.40%,22.65,11.42
-1331,2 7 8 9,69.74,39.80%,18.28,10.87
-1332,2 2 6 13,71.49,33.10%,30.83,16.35
-1333,5 6 9 11,72.21,33.40%,26.15,15
-1334,1 4 7 11,72.93,35.70%,29.78,16.43
-1335,6 9 9 10,80.98,31.60%,32.75,18.6
-1336,2 5 7 8,83.96,32.90%,28.52,15.64
-1337,7 8 8 13,84.91,29.50%,27.08,15.03
-1338,5 7 7 11,88.29,27.40%,25.62,12.84
-1339,3 3 7 13,88.82,27.60%,32.8,18.62
-1340,4 8 8 13,88.89,29.10%,24.53,14.05
-1341,4 8 8 11,88.95,30%,23.19,13.84
-1342,3 8 8 10,90.4,28.90%,25.35,16.08
-1343,2 7 7 10,90.8,27%,26.85,12.93
-1344,5 5 7 11,91.1,26.10%,25.79,13.15
-1345,2 3 8 13,92.19,32%,23.64,12.74
-1346,7 8 10 11,95.22,29.80%,24.05,14.09
-1347,2 2 10 11,96.37,30.20%,26.2,17.05
-1348,9 11 12 13,99.38,27.90%,22.06,13.19
-1349,1 6 6 8,101.21,29.80%,21.64,13.19
-1350,3 3 8 8,104.24,30.80%,15.65,10.6
-1351,1 8 12 12,104.58,29%,20.38,13.12
-1352,3 3 5 7,104.76,29.20%,28.32,17.86
-1353,2 4 7 12,108.41,28.10%,28.97,16.35
-1354,2 9 13 13,110.09,24.90%,30.9,19.5
-1355,3 7 9 13,110.86,26%,39.84,21.67
-1356,2 4 10 10,111.72,25.80%,28.72,18.53
-1357,3 6 6 11,112.28,27.10%,24.73,15.29
-1358,3 5 7 13,122.99,23.60%,38.68,21.2
-1359,2 5 5 10,188.2,22.10%,24.09,16.42
-1360,1 4 5 6,195.91,28.70%,18.38,11.81
-1361,1 3 4 6,201.57,26.90%,19.77,12.1
+Rank,Puzzles,AMT (s),Solved rate,1-sigma Mean (s),1-sigma STD (s)
+1,1 1 4 6,4.4,99.20%,4.67,1.48
+2,1 1 11 11,4.41,99.60%,4.68,1.45
+3,1 1 3 8,4.45,99.20%,4.69,1.48
+4,1 1 1 8,4.48,98.80%,4.66,1.25
+5,6 6 6 6,4.59,99.40%,4.82,1.49
+6,1 1 2 12,4.63,99.10%,4.95,1.57
+7,1 2 2 6,4.8,99.20%,5.16,1.61
+8,1 1 10 12,4.81,99%,5.06,1.54
+9,2 2 10 10,4.85,98.20%,5.13,1.63
+10,1 1 1 12,4.86,99.20%,5.18,1.63
+11,1 1 2 8,4.96,97.80%,5.31,1.76
+12,1 1 4 8,4.99,98.10%,5.35,1.83
+13,1 1 5 8,5,96.40%,5.36,1.81
+14,4 6 11 11,5,98.90%,5.38,1.73
+15,1 1 3 12,5.02,97.30%,5.36,1.84
+16,2 2 2 12,5.02,99.10%,5.37,1.7
+17,1 1 4 12,5.03,97.40%,5.45,1.85
+18,1 1 12 12,5.03,99.40%,5.4,1.66
+19,3 3 3 8,5.04,98%,5.4,1.8
+20,1 1 2 6,5.09,98.40%,5.4,1.61
+21,1 1 2 11,5.09,98.90%,5.41,1.7
+22,1 2 3 4,5.1,99%,5.46,1.85
+23,11 11 12 12,5.1,98.70%,5.5,1.87
+24,3 7 7 8,5.11,96.70%,5.48,1.89
+25,1 1 13 13,5.16,99.30%,5.45,1.66
+26,1 2 4 12,5.16,97.60%,5.56,1.99
+27,1 1 3 6,5.17,97.70%,5.52,1.77
+28,1 1 3 9,5.17,97%,5.52,1.85
+29,7 7 12 12,5.17,98.60%,5.58,1.89
+30,4 6 7 7,5.18,98.60%,5.53,1.83
+31,1 1 2 13,5.19,98.70%,5.49,1.78
+32,1 1 5 6,5.19,96.80%,5.62,2.04
+33,1 1 11 13,5.23,99.10%,5.66,1.85
+34,1 6 6 12,5.24,98.70%,5.57,1.72
+35,4 5 12 12,5.24,97%,5.6,1.79
+36,4 6 13 13,5.24,98.70%,5.63,1.79
+37,12 12 12 12,5.25,99.30%,5.73,2.14
+38,2 11 11 12,5.26,97.20%,5.68,2
+39,4 4 4 6,5.26,98.10%,5.61,1.94
+40,1 1 1 11,5.27,97.30%,5.56,1.66
+41,1 1 11 12,5.27,99.30%,5.67,1.8
+42,2 7 7 12,5.29,98.70%,5.65,1.89
+43,1 5 7 12,5.3,98.30%,5.87,2.12
+44,10 10 12 12,5.31,98.60%,5.74,1.91
+45,1 8 8 8,5.32,97.70%,5.65,1.94
+46,2 2 3 8,5.33,98.10%,5.72,1.93
+47,2 9 9 12,5.33,97.30%,5.74,2
+48,11 11 11 12,5.33,94.80%,5.61,1.99
+49,3 8 13 13,5.34,94.80%,5.68,2.06
+50,9 9 12 12,5.34,98.30%,5.84,2.11
+51,1 1 5 5,5.35,99.10%,5.71,1.8
+52,3 3 12 12,5.36,98.70%,5.83,2.03
+53,1 1 4 5,5.38,97.80%,5.77,2.02
+54,1 6 8 12,5.38,96.80%,5.77,2
+55,8 8 12 12,5.38,98.50%,5.8,1.95
+56,3 8 11 11,5.39,96%,5.74,2.09
+57,5 6 12 12,5.39,97.10%,5.78,1.81
+58,11 12 12 12,5.4,97.60%,5.74,1.88
+59,12 12 13 13,5.4,98.60%,5.79,1.91
+60,1 1 12 13,5.42,98.70%,5.8,1.84
+61,1 3 5 12,5.42,96.40%,5.79,2.1
+62,5 5 12 12,5.42,98.70%,5.78,1.75
+63,1 9 9 12,5.44,95.50%,5.72,1.78
+64,2 3 3 12,5.44,98.60%,5.91,2.04
+65,3 4 4 8,5.44,98.30%,5.85,1.94
+66,3 8 10 10,5.44,95.60%,5.89,2.25
+67,3 8 9 9,5.45,97%,5.83,1.98
+68,2 5 5 12,5.46,98.70%,5.87,1.99
+69,11 11 11 13,5.48,98.40%,6.03,2.26
+70,2 12 13 13,5.49,97.10%,5.85,2.04
+71,7 7 11 12,5.49,93.70%,5.78,2.05
+72,1 1 3 7,5.5,96.80%,5.82,1.95
+73,1 4 10 10,5.5,97.90%,5.91,2.1
+74,4 4 12 12,5.51,98.60%,5.93,2.05
+75,1 3 4 12,5.52,98.50%,5.95,1.97
+76,5 5 11 12,5.52,96.50%,5.89,1.9
+77,1 2 5 8,5.54,95.50%,5.94,2.26
+78,2 2 4 6,5.54,99%,5.92,1.9
+79,1 6 7 12,5.56,98.50%,5.97,1.97
+80,1 8 9 12,5.56,96.50%,5.87,1.96
+81,6 7 12 12,5.56,95.60%,5.93,2.03
+82,1 3 10 10,5.57,97.40%,5.87,2
+83,2 3 3 8,5.57,96.90%,5.94,1.94
+84,3 5 5 8,5.57,96.90%,5.97,2.08
+85,1 1 1 13,5.58,97.40%,5.9,1.77
+86,2 3 12 12,5.58,97.40%,5.97,2
+87,1 4 7 12,5.59,98.30%,5.99,2.02
+88,8 8 11 13,5.6,97%,6.1,2.29
+89,1 3 3 4,5.61,97.40%,5.86,1.79
+90,1 8 8 12,5.61,96.30%,5.91,1.9
+91,3 7 8 8,5.63,95.90%,5.99,2.03
+92,7 8 12 12,5.63,96.10%,6.07,2.12
+93,9 9 11 12,5.63,93.90%,5.98,2.15
+94,1 2 5 12,5.64,95.40%,6.09,2.2
+95,2 7 7 8,5.64,96.80%,5.94,1.99
+96,4 4 11 13,5.64,97.90%,6.25,2.36
+97,1 1 4 7,5.65,97.10%,5.95,2.07
+98,1 1 10 13,5.65,97.90%,6.09,2.2
+99,4 6 6 6,5.65,98.30%,6.02,2.07
+100,5 5 7 7,5.65,97.80%,5.97,1.91
+101,4 5 11 12,5.66,97.40%,6.06,2.09
+102,1 6 9 12,5.67,95.40%,6.05,2.13
+103,1 7 9 12,5.68,95.90%,6.08,2.24
+104,2 2 12 12,5.68,98.70%,6.21,2.26
+105,1 1 2 10,5.69,95.60%,5.96,1.81
+106,3 7 7 7,5.69,97.40%,6.03,2.02
+107,1 7 7 10,5.7,97.80%,6.17,2.18
+108,4 5 5 6,5.7,97.30%,6.11,2.11
+109,4 8 11 11,5.7,95.10%,6.01,1.98
+110,1 2 2 10,5.71,96.60%,6.05,2.11
+111,1 6 6 11,5.71,98.20%,6.18,2.24
+112,3 3 4 6,5.71,97.70%,6.14,2.11
+113,4 4 11 12,5.71,91.90%,6.06,2.35
+114,2 2 2 3,5.72,99%,5.98,1.72
+115,3 3 11 12,5.72,94.70%,6.11,2.19
+116,3 6 11 11,5.72,94.40%,5.99,2.05
+117,3 8 8 8,5.73,97.50%,6.09,2.14
+118,12 12 12 13,5.73,97.40%,6.07,1.98
+119,1 2 2 12,5.74,97.70%,6.1,1.99
+120,2 8 9 9,5.74,96.30%,6.13,2.1
+121,6 6 12 12,5.75,98.40%,6.31,2.35
+122,8 9 12 12,5.75,96.20%,6.26,2.24
+123,1 5 8 8,5.76,94.80%,6.35,2.69
+124,2 2 3 12,5.76,98%,6.17,2.02
+125,3 4 4 6,5.77,97.40%,6.1,1.93
+126,1 5 6 12,5.79,98.50%,6.17,2.07
+127,4 6 9 9,5.79,96.30%,6.17,2.22
+128,6 6 11 13,5.79,97.80%,6.3,2.25
+129,7 7 11 13,5.79,97.40%,6.32,2.29
+130,1 4 4 12,5.81,95.60%,6.31,2.36
+131,1 4 6 12,5.81,96.60%,6.23,2.41
+132,9 9 11 13,5.81,96.80%,6.35,2.41
+133,3 8 12 13,5.82,96%,6.19,2.2
+134,1 8 10 12,5.83,95.60%,6.16,2.19
+135,3 4 11 13,5.84,96.40%,6.32,2.35
+136,11 13 13 13,5.85,97.80%,6.41,2.42
+137,4 6 6 7,5.87,96.40%,6.23,2.1
+138,1 3 6 12,5.88,96.80%,6.27,2.18
+139,2 4 4 12,5.88,98.40%,6.24,2.14
+140,3 6 7 7,5.88,93.30%,6.24,2.33
+141,4 6 8 8,5.88,96.80%,6.31,2.23
+142,1 4 5 12,5.89,95.70%,6.33,2.33
+143,10 11 12 12,5.89,95.90%,6.27,2.05
+144,2 4 11 11,5.9,96.20%,6.33,2.34
+145,4 6 10 11,5.9,94.50%,6.3,2.39
+146,4 8 10 10,5.9,97.50%,6.32,2.15
+147,1 4 8 12,5.91,97.50%,6.26,2.2
+148,2 10 10 12,5.91,97%,6.29,2.31
+149,3 6 13 13,5.91,94.50%,6.15,1.95
+150,5 6 11 12,5.91,97.20%,6.36,2.23
+151,6 6 10 13,5.91,93.70%,6.43,2.68
+152,10 10 11 13,5.91,97.60%,6.49,2.37
+153,1 3 3 12,5.92,95.30%,6.32,2.31
+154,1 7 8 9,5.92,97.10%,6.38,2.27
+155,1 12 13 13,5.92,94.30%,6.25,2.17
+156,3 8 10 11,5.92,94.40%,6.27,2.35
+157,9 10 12 12,5.92,95.70%,6.24,2.02
+158,1 11 11 12,5.93,93.40%,6.17,2.22
+159,4 5 12 13,5.93,97.60%,6.42,2.16
+160,1 3 6 8,5.94,95.40%,6.37,2.53
+161,1 2 11 11,5.95,97.30%,6.44,2.44
+162,1 6 12 12,5.95,94.50%,6.37,2.45
+163,2 8 8 12,5.95,97.40%,6.47,2.44
+164,3 6 6 8,5.95,97%,6.35,2.24
+165,5 5 5 5,5.95,95.20%,6.36,2.16
+166,3 7 10 10,5.96,97.30%,6.35,2.19
+167,2 8 10 10,5.97,95.30%,6.28,2.07
+168,4 6 10 10,5.97,96.30%,6.34,2.37
+169,1 1 3 13,5.98,95.10%,6.36,2.13
+170,1 2 6 6,5.98,97.40%,6.41,2.25
+171,1 6 7 10,5.98,98.50%,6.53,2.26
+172,1 2 4 4,5.99,97.10%,6.33,2.14
+173,1 7 8 10,5.99,97.50%,6.41,2.3
+174,4 5 5 5,5.99,97.40%,6.55,2.42
+175,1 1 4 4,6.01,94.50%,6.31,2.43
+176,1 2 6 12,6.01,96.80%,6.38,2.24
+177,1 5 8 12,6.02,98.10%,6.51,2.23
+178,1 2 10 12,6.03,97.40%,6.55,2.43
+179,1 5 7 11,6.03,98.50%,6.48,2.14
+180,1 10 10 12,6.03,92.30%,6.24,2.1
+181,3 8 12 12,6.03,96.50%,6.47,2.46
+182,2 2 11 13,6.04,98%,6.59,2.43
+183,3 9 9 9,6.04,97.60%,6.47,2.16
+184,1 1 6 6,6.05,97.20%,6.46,2.19
+185,1 2 4 8,6.05,96.50%,6.44,2.31
+186,1 6 8 9,6.05,98.20%,6.5,2.36
+187,3 4 12 12,6.05,94.50%,6.52,2.48
+188,4 8 13 13,6.05,94.40%,6.27,1.91
+189,1 1 3 4,6.08,98%,6.4,2.03
+190,1 3 9 12,6.08,96.20%,6.48,2.34
+191,3 8 11 12,6.08,94.20%,6.55,2.64
+192,1 1 9 13,6.09,97.20%,6.55,2.54
+193,1 2 6 8,6.09,95.90%,6.41,2.33
+194,1 7 8 8,6.09,96.60%,6.61,2.66
+195,2 8 13 13,6.09,90.20%,6.39,2.56
+196,2 11 11 11,6.09,90%,6.21,2.47
+197,2 11 12 12,6.09,95.40%,6.49,2.27
+198,4 7 7 8,6.09,93.80%,6.55,2.52
+199,3 3 4 8,6.1,96.20%,6.43,2.14
+200,2 2 11 12,6.11,92.30%,6.5,2.56
+201,5 6 12 13,6.11,97.40%,6.51,2.17
+202,3 3 11 13,6.12,96.90%,6.62,2.5
+203,4 7 12 12,6.12,88.50%,6.51,2.85
+204,2 13 13 13,6.14,91.10%,6.32,2.32
+205,5 5 12 13,6.14,95.60%,6.62,2.14
+206,10 13 13 13,6.14,93.20%,6.58,2.78
+207,1 7 7 12,6.15,88.90%,6.28,2.32
+208,2 3 11 12,6.15,94.80%,6.74,2.75
+209,5 5 11 13,6.15,96.10%,6.75,2.52
+210,1 2 3 10,6.16,98.40%,6.47,2
+211,1 5 5 12,6.16,90.50%,6.36,2.32
+212,1 5 7 13,6.16,97.90%,6.53,2.09
+213,3 3 3 6,6.17,97.70%,6.71,2.56
+214,3 3 3 12,6.17,96.90%,6.65,2.46
+215,10 10 11 12,6.17,93.30%,6.53,2.29
+216,1 4 7 8,6.19,96.60%,6.68,2.71
+217,1 10 12 12,6.19,95.80%,6.81,2.94
+218,8 8 11 12,6.19,90.60%,6.54,2.66
+219,1 2 3 8,6.2,97%,6.61,2.38
+220,4 4 10 13,6.2,93.50%,6.71,2.79
+221,1 4 6 8,6.21,94.40%,6.57,2.52
+222,2 2 4 5,6.21,98.30%,6.6,2.11
+223,11 12 13 13,6.21,95.10%,6.69,2.43
+224,1 2 2 8,6.22,93.30%,6.65,2.63
+225,5 5 5 6,6.22,96.10%,6.68,2.34
+226,1 1 5 7,6.23,96.40%,6.56,2.09
+227,1 2 13 13,6.23,97.20%,6.93,2.69
+228,7 7 12 13,6.23,93.90%,6.63,2.35
+229,1 4 8 8,6.24,96.50%,6.71,2.48
+230,3 11 11 12,6.24,91.40%,6.44,2.17
+231,1 2 3 12,6.25,96.20%,6.8,2.53
+232,1 3 8 9,6.27,92.20%,6.82,3.18
+233,1 3 11 11,6.27,97.20%,6.68,2.43
+234,1 4 4 5,6.27,96.90%,6.82,2.67
+235,1 5 10 10,6.28,97.30%,6.65,2.3
+236,1 8 10 13,6.28,94.80%,6.6,2.43
+237,2 2 2 8,6.28,96.40%,6.84,2.73
+238,1 4 12 12,6.29,91.20%,6.53,2.49
+239,2 7 8 12,6.29,94.90%,6.73,2.56
+240,4 4 5 6,6.29,95.70%,6.6,2.26
+241,7 9 11 11,6.29,95.80%,6.77,2.64
+242,2 12 12 13,6.3,95.50%,6.69,2.37
+243,6 7 11 12,6.3,96.80%,6.84,2.59
+244,4 6 12 13,6.31,93.80%,6.82,2.88
+245,1 2 10 11,6.32,97.60%,6.66,2.39
+246,1 5 8 9,6.32,93.90%,6.76,2.62
+247,1 5 7 8,6.33,94.70%,6.71,2.42
+248,4 8 9 9,6.33,90.40%,6.49,2.28
+249,9 9 12 13,6.33,94%,6.69,2.25
+250,8 8 8 10,6.35,90.40%,6.7,2.91
+251,2 12 12 12,6.36,98.40%,6.75,2.46
+252,1 8 8 9,6.37,96.30%,6.9,2.71
+253,2 8 11 11,6.37,88.50%,6.55,2.78
+254,4 5 13 13,6.37,87.70%,6.61,2.77
+255,1 2 12 12,6.38,95.80%,6.71,2.2
+256,2 8 10 11,6.38,94.70%,6.87,2.62
+257,2 11 13 13,6.38,94.10%,6.88,2.52
+258,1 6 7 11,6.39,97.40%,7.02,2.89
+259,3 6 7 8,6.39,97.80%,6.79,2.31
+260,1 2 8 8,6.4,96.10%,6.97,2.74
+261,4 5 9 9,6.4,88.40%,6.64,2.72
+262,1 3 3 7,6.41,95.90%,7.25,3.33
+263,2 5 6 12,6.41,95.10%,6.8,2.52
+264,3 6 10 11,6.41,95.80%,7.05,2.86
+265,1 3 6 6,6.42,97.20%,6.89,2.58
+266,1 6 6 13,6.42,97.20%,6.8,2.44
+267,4 4 4 4,6.43,97.80%,7.03,2.93
+268,10 10 10 13,6.43,92.90%,6.86,2.99
+269,1 6 9 9,6.44,97.50%,6.87,2.52
+270,2 6 6 12,6.44,97.70%,6.97,2.55
+271,3 7 9 9,6.44,91%,6.87,2.78
+272,1 7 8 12,6.45,95.60%,6.97,2.67
+273,3 12 13 13,6.46,91%,6.62,2.29
+274,6 6 11 12,6.46,88.90%,6.77,2.97
+275,1 3 5 8,6.47,95.10%,7.13,2.89
+276,6 10 10 10,6.47,95.70%,6.74,2.31
+277,2 3 11 13,6.48,91.90%,6.91,2.78
+278,1 1 3 11,6.49,94.30%,6.73,1.97
+279,1 4 4 7,6.49,96.10%,7.22,3.18
+280,1 2 4 6,6.5,95.90%,6.88,2.53
+281,1 9 12 12,6.5,92.60%,6.86,2.82
+282,3 4 5 8,6.5,96.10%,6.96,2.63
+283,4 5 6 6,6.5,95.30%,6.81,2.33
+284,1 3 3 5,6.51,95.10%,6.76,2.46
+285,1 4 6 13,6.51,97.50%,6.96,2.39
+286,2 2 2 11,6.51,92.10%,6.79,2.66
+287,2 4 5 12,6.51,94.50%,6.96,2.87
+288,10 11 11 13,6.51,94.70%,6.91,2.63
+289,12 13 13 13,6.52,94.30%,6.85,2.44
+290,3 7 11 11,6.53,88%,6.77,3.02
+291,3 7 13 13,6.53,87.30%,6.67,2.74
+292,4 6 7 8,6.53,95.80%,6.96,2.48
+293,1 4 7 13,6.54,96.50%,7.22,2.95
+294,1 5 8 10,6.54,96.30%,7.09,2.54
+295,5 6 6 7,6.54,97.90%,7.06,2.44
+296,1 5 10 12,6.55,92%,6.96,3.07
+297,1 6 8 10,6.55,97.10%,6.98,2.39
+298,3 5 11 11,6.55,94.50%,7.06,2.97
+299,3 9 9 12,6.55,94.70%,6.92,2.56
+300,2 10 11 12,6.56,95.90%,6.86,2.4
+301,2 8 8 13,6.57,92.80%,6.94,2.55
+302,7 8 11 12,6.57,96.20%,7.05,2.64
+303,1 2 5 6,6.58,94.60%,7.11,2.75
+304,1 7 7 11,6.58,96.80%,7.15,2.6
+305,4 6 12 12,6.58,96.80%,7.03,2.42
+306,1 3 13 13,6.59,97%,7.11,2.6
+307,3 8 9 10,6.59,96.20%,6.95,2.46
+308,3 10 10 12,6.59,94.20%,6.94,2.35
+309,4 4 12 13,6.59,92%,6.95,2.49
+310,1 10 11 12,6.6,94.60%,6.98,2.5
+311,2 3 4 6,6.6,97.80%,7.01,2.29
+312,4 6 11 12,6.6,92.80%,6.98,2.9
+313,1 2 10 13,6.61,97%,7.12,2.72
+314,1 3 3 9,6.61,96.70%,7.15,2.85
+315,1 9 11 12,6.61,93.70%,7.05,2.97
+316,2 2 8 12,6.61,98%,7.06,2.29
+317,2 5 6 11,6.63,96.30%,7.12,2.59
+318,3 4 10 13,6.63,96.50%,7.15,2.82
+319,3 7 7 12,6.63,89.90%,6.78,2.56
+320,1 2 3 6,6.65,97%,7.08,2.43
+321,3 6 6 7,6.65,93.60%,7.09,2.67
+322,1 12 12 12,6.66,93.40%,6.88,2.57
+323,2 8 9 12,6.66,95%,7.04,2.72
+324,3 3 3 3,6.67,96%,7.4,3.34
+325,1 4 8 13,6.68,97.40%,7.07,2.44
+326,4 4 5 5,6.68,93.20%,7.11,2.52
+327,6 7 12 13,6.68,95.40%,7.17,2.72
+328,1 2 5 5,6.69,95.10%,7.19,2.91
+329,2 2 5 5,6.69,93.20%,7.07,2.49
+330,5 6 7 7,6.69,87.80%,6.86,2.72
+331,5 7 10 12,6.69,96.70%,7.13,2.44
+332,1 1 6 12,6.7,91.10%,7.36,3.37
+333,1 3 3 3,6.71,95.50%,7.09,2.55
+334,4 5 11 11,6.72,87.20%,7.19,3.59
+335,1 1 2 7,6.73,95.40%,6.96,2.07
+336,1 2 5 7,6.73,95%,7.07,2.65
+337,1 5 6 6,6.73,93.60%,7.41,3.4
+338,9 9 10 13,6.73,90.90%,6.9,2.68
+339,1 6 6 10,6.74,93.60%,7.09,3.03
+340,3 3 12 13,6.74,93.30%,7.19,2.64
+341,6 8 10 12,6.74,97.20%,7.28,2.79
+342,2 2 2 13,6.75,93.40%,7.1,2.72
+343,2 3 12 13,6.76,95.90%,7.24,2.63
+344,3 3 5 6,6.76,96.20%,7.36,2.7
+345,2 11 11 13,6.77,94.90%,7.28,2.84
+346,4 5 7 7,6.77,91.20%,7.37,3.44
+347,7 7 10 13,6.77,89.60%,7.06,3.11
+348,1 2 11 13,6.78,93.50%,7.42,3.1
+349,11 12 12 13,6.78,97%,7.39,2.67
+350,5 7 11 11,6.79,96.10%,7.22,2.67
+351,2 2 2 4,6.8,95.90%,7.13,2.48
+352,3 4 5 7,6.81,96.60%,7.28,2.65
+353,4 7 13 13,6.81,87.70%,7.06,2.94
+354,4 8 8 8,6.81,94.60%,7.16,2.75
+355,5 6 13 13,6.81,86.90%,6.91,2.69
+356,8 9 11 12,6.81,95.20%,7.45,3.01
+357,1 1 2 9,6.82,94.60%,7.11,2.33
+358,2 4 4 8,6.82,96.40%,7.23,2.67
+359,4 4 4 8,6.82,96.30%,7.38,2.8
+360,2 4 13 13,6.83,95.60%,7.34,2.76
+361,4 7 7 7,6.83,88.80%,7.02,3.01
+362,7 9 13 13,6.83,96.30%,7.42,2.78
+363,9 11 11 11,6.83,95.30%,7.21,2.76
+364,1 6 8 11,6.84,97.70%,7.3,2.46
+365,1 1 3 5,6.85,95.20%,7.17,2.32
+366,2 6 6 8,6.85,95.50%,7.42,2.98
+367,1 3 4 4,6.87,93.10%,7.15,3.02
+368,1 3 10 11,6.87,96.40%,7.53,3.1
+369,1 9 10 12,6.87,93.70%,7.18,2.72
+370,7 8 12 13,6.87,96.40%,7.34,2.62
+371,8 9 10 13,6.87,95.80%,7.37,2.65
+372,1 1 4 9,6.88,93.40%,7.08,2.33
+373,2 5 5 8,6.88,88%,7.04,3.06
+374,6 9 12 12,6.88,89.10%,7.44,3.67
+375,2 5 5 13,6.89,92%,7.28,2.71
+376,2 8 12 12,6.89,95%,7.27,2.62
+377,4 7 10 11,6.89,97%,7.42,2.74
+378,1 11 12 12,6.9,94.20%,7.43,3.1
+379,3 3 3 7,6.9,92.20%,7.32,3.12
+380,3 3 3 10,6.9,94.30%,7.47,3.25
+381,6 8 11 11,6.9,94.20%,7.43,3.06
+382,9 10 11 12,6.9,96.10%,7.41,2.76
+383,1 3 6 7,6.91,96%,7.32,2.81
+384,8 9 12 13,6.91,96%,7.4,2.7
+385,1 2 2 11,6.92,97.10%,7.46,2.95
+386,1 8 8 11,6.92,93.30%,7.39,3.42
+387,4 5 10 10,6.92,91%,7.24,3.04
+388,1 2 11 12,6.93,96.90%,7.63,3.2
+389,2 4 5 8,6.93,95%,7.31,2.74
+390,2 5 12 12,6.93,83.20%,7.33,4.07
+391,3 6 6 12,6.94,95.40%,7.6,2.84
+392,4 6 9 10,6.94,93.50%,7.45,3.24
+393,4 7 8 8,6.94,94%,7.33,2.53
+394,5 5 10 10,6.94,86.70%,7.24,3.12
+395,1 2 7 10,6.95,90.90%,7.71,4
+396,2 6 10 12,6.95,95.10%,7.43,2.81
+397,2 6 7 13,6.96,96.60%,7.37,2.66
+398,2 9 9 11,6.96,87.30%,6.96,2.68
+399,8 8 10 13,6.96,90.40%,7.35,3.05
+400,1 1 8 8,6.97,89.50%,7.42,3.71
+401,2 2 10 13,6.97,90.10%,7.23,3.03
+402,2 2 12 13,6.97,92.10%,7.25,2.6
+403,5 6 11 11,6.97,87.20%,7.18,3.13
+404,11 11 12 13,6.97,94.90%,7.39,2.48
+405,1 2 6 7,6.98,95.10%,7.35,2.55
+406,3 8 8 9,6.98,95.50%,7.29,2.5
+407,6 7 10 13,6.98,96.40%,7.5,2.75
+408,9 12 12 12,6.98,82.20%,7.03,3.68
+409,1 6 8 8,6.99,93%,7.31,2.92
+410,4 4 4 12,6.99,96.60%,7.46,2.94
+411,5 5 10 13,6.99,89.70%,7.34,3.26
+412,6 8 8 8,6.99,88.10%,7.38,3.47
+413,5 6 9 9,7,90.60%,7.27,2.74
+414,1 3 7 13,7.01,96.80%,7.4,2.64
+415,1 7 8 11,7.01,92.60%,7.4,3.08
+416,3 6 9 9,7.01,94%,7.6,3.28
+417,5 5 6 6,7.01,93.10%,7.48,2.79
+418,5 5 13 13,7.01,85.50%,7.17,3.03
+419,1 3 5 13,7.02,94.10%,7.43,2.72
+420,1 8 8 10,7.02,92.40%,7.36,2.99
+421,2 9 9 13,7.02,88.60%,7.08,2.5
+422,1 7 7 9,7.03,96.30%,7.4,2.83
+423,3 7 12 13,7.03,93.80%,7.5,3
+424,8 8 9 11,7.03,89.70%,7.57,3.69
+425,4 8 11 12,7.04,92.90%,7.64,3.18
+426,1 7 10 12,7.05,92.60%,7.46,2.96
+427,2 3 5 5,7.05,96.20%,7.57,2.94
+428,2 6 7 12,7.05,92%,7.2,2.91
+429,8 8 12 13,7.05,92.10%,7.35,2.65
+430,8 10 11 11,7.05,94.80%,7.45,2.76
+431,3 5 5 6,7.06,89.10%,7.29,3.09
+432,1 3 10 12,7.07,96.40%,7.55,2.75
+433,2 3 3 13,7.07,94%,7.6,2.92
+434,5 5 11 11,7.08,85.80%,7.3,3.24
+435,1 2 2 13,7.09,96.40%,7.64,3.12
+436,2 5 9 12,7.09,95.40%,7.53,2.84
+437,3 3 4 4,7.09,94.40%,7.45,2.69
+438,1 2 3 5,7.1,95.40%,7.39,2.38
+439,1 3 9 11,7.1,95.10%,7.65,3.15
+440,2 2 7 13,7.1,96.10%,7.59,2.92
+441,1 5 6 9,7.11,91.90%,7.56,3.43
+442,2 6 10 10,7.11,95.70%,7.58,2.96
+443,10 10 12 13,7.11,92.20%,7.43,2.6
+444,1 10 12 13,7.12,94.30%,7.45,2.83
+445,2 8 8 8,7.12,93.90%,7.68,3.28
+446,3 4 11 12,7.12,95.10%,7.75,3.35
+447,1 2 4 10,7.13,96.20%,7.62,3.17
+448,4 7 12 13,7.13,92.40%,7.74,3.4
+449,7 8 8 9,7.13,86.60%,7.51,3.69
+450,1 3 4 11,7.14,96%,7.65,2.91
+451,4 6 6 8,7.14,97.30%,7.61,2.61
+452,6 6 6 11,7.14,88.70%,7.39,3.41
+453,3 8 8 12,7.15,91.50%,7.62,3.1
+454,2 7 7 13,7.16,86%,7.27,3.01
+455,2 9 10 12,7.16,93.80%,7.49,2.83
+456,3 7 11 12,7.16,90.60%,7.7,3.49
+457,4 5 11 13,7.17,90.30%,7.59,3.29
+458,6 6 12 13,7.17,90.30%,7.56,3.04
+459,1 5 9 9,7.18,94.40%,7.69,3.15
+460,3 4 5 12,7.18,97%,7.61,2.67
+461,5 6 11 13,7.18,91.70%,7.75,3.37
+462,1 12 12 13,7.19,94.20%,7.7,3.12
+463,4 8 10 12,7.19,95.70%,7.71,2.86
+464,5 9 10 10,7.19,92.80%,7.58,3.05
+465,3 6 11 12,7.2,93.40%,7.7,3.18
+466,2 6 7 9,7.21,96%,7.75,3
+467,3 5 13 13,7.22,94.30%,7.71,3.07
+468,3 7 7 9,7.22,86.60%,7.26,2.95
+469,1 3 4 5,7.23,97.50%,7.73,2.53
+470,3 9 10 11,7.23,93%,7.61,2.93
+471,1 3 7 8,7.24,89.30%,7.43,3.48
+472,1 7 9 13,7.25,93.70%,7.5,2.52
+473,1 8 11 12,7.25,91.50%,7.77,3.41
+474,4 7 11 11,7.25,86.30%,7.35,3.32
+475,1 6 6 9,7.26,90.30%,7.7,3.26
+476,5 5 7 8,7.26,92.40%,7.71,2.94
+477,7 9 10 12,7.26,94%,7.78,3.16
+478,1 6 8 13,7.27,94.30%,7.7,2.83
+479,3 4 8 10,7.27,93.40%,7.66,3.19
+480,5 10 11 11,7.27,90.30%,7.48,2.76
+481,2 4 10 12,7.28,96.50%,7.94,3.12
+482,4 5 5 8,7.28,88%,7.43,2.93
+483,10 12 12 13,7.28,90.10%,7.74,3.54
+484,1 1 6 8,7.29,94.90%,7.62,2.55
+485,2 2 3 9,7.29,94.50%,7.73,2.88
+486,3 3 4 5,7.29,94%,7.75,3.18
+487,5 8 8 10,7.29,91.40%,7.77,3.37
+488,1 8 9 11,7.3,92.60%,7.63,3.1
+489,2 3 3 11,7.3,89.30%,7.55,3.23
+490,2 7 8 13,7.3,94%,7.84,3.11
+491,3 5 5 12,7.3,89%,7.62,3.32
+492,5 5 9 9,7.3,85.50%,7.59,3.37
+493,7 10 10 11,7.3,93.50%,7.63,2.94
+494,10 11 11 12,7.31,96.70%,7.8,2.8
+495,2 5 6 8,7.32,95.60%,7.91,3.03
+496,3 3 9 9,7.32,95.90%,7.7,2.77
+497,3 6 6 6,7.32,94.40%,7.75,3.15
+498,5 8 12 12,7.32,75.90%,6.76,3.49
+499,2 3 7 12,7.34,94.70%,7.81,3.04
+500,5 6 8 8,7.34,92.20%,7.69,2.92
+501,1 11 12 13,7.35,93.80%,7.77,3.19
+502,3 5 6 8,7.35,93.50%,7.83,3.19
+503,6 8 13 13,7.35,93.30%,7.82,3.08
+504,4 4 5 8,7.37,95.90%,7.72,2.57
+505,7 10 12 12,7.37,84.60%,7.57,3.7
+506,1 8 9 13,7.38,91.40%,7.84,3.51
+507,3 5 10 12,7.38,94.80%,7.95,3.1
+508,3 9 11 11,7.38,85.80%,7.49,3.24
+509,6 6 6 9,7.38,89.60%,7.97,3.92
+510,5 5 10 11,7.39,87.70%,7.75,3.46
+511,2 2 4 7,7.4,95.30%,8.06,3.15
+512,3 6 8 8,7.4,92.70%,7.74,2.98
+513,3 9 13 13,7.4,86.30%,7.56,3.26
+514,4 4 4 7,7.4,91.10%,7.76,3.31
+515,1 4 4 4,7.41,95.70%,7.86,2.86
+516,9 10 10 13,7.41,95.20%,7.86,3.02
+517,2 10 10 11,7.42,85.20%,7.27,2.92
+518,3 3 10 13,7.42,89.40%,7.7,3.46
+519,1 2 3 9,7.43,96.40%,7.98,3.1
+520,2 4 8 10,7.43,97.80%,7.91,2.6
+521,1 7 9 9,7.44,94.70%,7.92,3.19
+522,2 6 6 6,7.45,95.90%,8.01,3.06
+523,2 6 9 11,7.45,95.50%,7.93,3.13
+524,3 4 4 7,7.45,90.30%,7.87,3.37
+525,2 6 6 13,7.46,84.90%,7.54,3.15
+526,8 8 8 12,7.46,88.20%,7.86,3.98
+527,3 5 5 7,7.47,89.90%,7.71,3.14
+528,4 7 9 9,7.47,86.40%,7.59,3.16
+529,5 7 13 13,7.47,94.20%,7.87,3.21
+530,1 4 5 5,7.48,95.80%,7.91,2.68
+531,1 5 5 6,7.48,94.90%,7.99,3.07
+532,4 8 12 13,7.48,91.70%,8.18,3.7
+533,5 10 13 13,7.48,92.50%,7.93,2.78
+534,2 10 10 13,7.49,90%,7.63,2.85
+535,3 3 5 5,7.49,89.40%,7.73,3.16
+536,3 7 9 10,7.49,91.90%,8.06,3.46
+537,1 2 3 7,7.5,96.10%,8.17,3.2
+538,4 4 7 9,7.5,93.20%,7.9,3.39
+539,2 2 6 6,7.51,95.80%,8.02,3.05
+540,2 6 6 11,7.51,83.20%,7.35,3.13
+541,6 7 11 13,7.51,90.10%,7.89,3.44
+542,1 2 2 4,7.52,95.50%,7.83,2.44
+543,3 5 6 12,7.52,93.40%,8.04,3.23
+544,2 2 7 8,7.53,93.70%,7.88,2.98
+545,2 4 4 13,7.53,85.40%,7.66,3.38
+546,4 4 8 8,7.53,95.60%,8.13,3.2
+547,3 6 10 12,7.54,92.90%,8.05,3.43
+548,1 2 4 13,7.55,93.60%,7.88,2.93
+549,2 4 5 13,7.55,94.70%,8.14,3.25
+550,2 7 8 8,7.57,92.60%,7.97,3.08
+551,1 2 12 13,7.58,95.90%,8.31,3.37
+552,2 3 4 12,7.58,94.20%,8.09,3.28
+553,3 4 9 12,7.58,94.50%,8.02,3.08
+554,9 11 13 13,7.6,92%,8.11,3.19
+555,2 2 4 10,7.61,94.10%,8.01,2.92
+556,2 8 12 13,7.61,89.40%,7.86,3.55
+557,3 4 4 12,7.61,90.40%,7.91,3.28
+558,2 4 4 11,7.62,84.50%,7.62,3.38
+559,2 3 5 6,7.63,95%,8.05,2.95
+560,2 6 11 13,7.63,89.70%,7.78,3.26
+561,3 9 12 12,7.63,90.70%,8.2,3.48
+562,5 6 10 10,7.63,86.90%,7.99,3.73
+563,1 3 8 12,7.64,96.60%,8.14,2.9
+564,2 6 8 11,7.64,93.30%,8.07,3.38
+565,1 4 10 11,7.65,95%,8.1,3.15
+566,1 9 11 11,7.65,89.70%,7.79,3.02
+567,1 4 9 12,7.67,95.90%,8.33,3.37
+568,4 8 10 11,7.67,90.40%,7.98,3.45
+569,2 2 2 10,7.68,94.10%,8.13,3.33
+570,3 6 12 12,7.69,93%,8.24,3.48
+571,1 2 9 12,7.7,92.40%,8.32,3.81
+572,3 3 4 12,7.7,95%,8.34,3.2
+573,4 5 7 8,7.7,95.60%,8.19,3.15
+574,4 7 9 10,7.7,90.50%,8.19,3.66
+575,4 4 4 5,7.71,84.90%,7.7,3.66
+576,5 6 7 8,7.71,93.50%,8.21,3.11
+577,1 6 9 13,7.72,90.60%,8.12,3.96
+578,2 6 8 10,7.72,93.20%,8.22,3.44
+579,3 3 4 7,7.72,90.20%,8.18,3.48
+580,6 6 10 12,7.72,93.80%,8.14,3.07
+581,8 9 11 13,7.72,90.70%,8.16,3.68
+582,3 4 4 9,7.73,90.90%,8.24,3.29
+583,3 5 8 11,7.75,89.60%,8.05,3.47
+584,6 6 7 10,7.75,84.20%,7.85,4.09
+585,6 6 9 12,7.75,92.60%,8.12,3.31
+586,1 3 5 11,7.76,93.20%,8.11,2.86
+587,1 5 6 10,7.76,91.50%,8.1,3.24
+588,3 6 6 9,7.77,96.20%,8.24,2.96
+589,1 2 2 5,7.79,94.30%,8.03,2.83
+590,1 2 4 11,7.8,91.90%,8.06,2.8
+591,2 5 5 11,7.81,82.90%,7.62,3.34
+592,3 3 8 9,7.81,88.70%,8.19,3.79
+593,3 6 10 10,7.81,85.30%,7.81,3.64
+594,5 6 6 6,7.81,87.50%,7.91,3.44
+595,8 11 12 12,7.82,77.50%,7.26,3.55
+596,1 4 8 11,7.83,95.40%,8.26,2.85
+597,5 8 8 9,7.83,87%,8.05,3.92
+598,2 2 9 11,7.84,91.50%,8.16,3.28
+599,2 7 7 11,7.84,86.60%,7.89,3.67
+600,1 4 4 9,7.85,94.10%,8.25,3.34
+601,1 4 4 10,7.85,92%,8.06,3.4
+602,4 5 10 11,7.85,88.10%,8.28,4.17
+603,1 2 6 9,7.86,94.30%,8.4,3.58
+604,3 4 12 13,7.86,93.20%,8.45,3.71
+605,3 9 10 10,7.86,84.70%,7.73,3.43
+606,3 12 12 12,7.86,90.90%,8.17,3.42
+607,3 7 12 12,7.87,91.20%,8.23,3.41
+608,4 5 8 9,7.87,88.90%,8.25,3.97
+609,10 12 13 13,7.87,94.20%,8.32,2.93
+610,2 2 6 12,7.88,94.10%,8.48,3.48
+611,3 4 5 5,7.88,93.90%,8.56,3.65
+612,6 7 8 10,7.88,91.60%,8.4,3.57
+613,2 2 4 8,7.89,95.80%,8.41,3.08
+614,3 6 7 9,7.89,92.80%,8.34,3.48
+615,2 4 6 10,7.9,93.80%,8.32,3.37
+616,3 4 7 9,7.9,93.10%,8.33,3.73
+617,4 8 9 10,7.9,88.80%,8.1,3.33
+618,5 6 10 11,7.91,90.30%,8.22,3.54
+619,8 10 13 13,7.91,92.50%,8.29,3.33
+620,2 5 6 13,7.92,91.40%,8.41,3.61
+621,3 12 12 13,7.92,92.40%,8.3,3.26
+622,4 6 8 9,7.92,93.30%,8.35,3.38
+623,2 3 5 11,7.93,94.80%,8.43,3.29
+624,7 8 11 13,7.93,90.10%,8.48,3.85
+625,2 3 3 6,7.95,96.20%,8.45,2.96
+626,5 8 8 13,7.95,92.40%,8.33,3.65
+627,2 2 3 3,7.96,93.30%,8.29,3.26
+628,1 4 6 11,7.97,92.50%,8.28,3.23
+629,3 9 12 13,7.97,89.70%,8.44,3.93
+630,1 2 5 9,7.98,95%,8.48,3.09
+631,2 7 8 11,7.98,94.80%,8.57,3.59
+632,1 3 6 9,7.99,93.10%,8.49,3.2
+633,3 4 10 12,8,92.40%,8.38,3.5
+634,3 7 10 11,8,90.50%,8.27,3.37
+635,4 10 12 12,8,92%,8.42,3.34
+636,4 4 6 12,8.01,93.90%,8.69,3.77
+637,10 11 12 13,8.01,95.80%,8.62,3.48
+638,2 5 6 7,8.02,92.30%,8.49,3.62
+639,3 5 8 8,8.02,92.10%,8.48,3.85
+640,2 2 3 7,8.05,88.10%,8.43,3.8
+641,2 8 8 9,8.05,90.20%,8.35,3.34
+642,8 10 10 12,8.05,94.30%,8.52,3.4
+643,4 8 8 9,8.06,92.30%,8.3,3.05
+644,1 5 9 10,8.07,93.50%,8.59,3.77
+645,2 3 4 8,8.07,92.50%,8.78,4.01
+646,4 7 9 12,8.07,94.90%,8.58,3.25
+647,1 1 7 10,8.08,85.10%,8.12,4.24
+648,2 4 8 8,8.08,93.90%,8.75,4.12
+649,2 7 11 12,8.08,91.50%,8.43,3.4
+650,2 4 8 12,8.09,93.80%,8.86,4.19
+651,1 3 12 12,8.1,85.50%,8.39,4.52
+652,2 4 9 13,8.1,93.60%,8.44,3.5
+653,4 5 9 10,8.1,90.60%,8.47,3.64
+654,1 3 4 13,8.11,94.10%,8.7,3.66
+655,3 7 8 12,8.11,95%,8.61,3.22
+656,1 4 5 11,8.12,90.60%,8.37,3.88
+657,1 4 9 11,8.12,94.40%,8.78,3.71
+658,2 7 9 10,8.12,93.90%,8.52,3.2
+659,2 8 9 13,8.12,90.10%,8.37,3.57
+660,4 4 10 12,8.13,90.60%,8.54,3.93
+661,3 4 9 11,8.14,89.80%,8.4,4.03
+662,4 6 8 12,8.14,94.20%,8.76,3.48
+663,1 5 5 13,8.15,93.30%,8.37,3.21
+664,3 6 9 10,8.15,92.40%,8.48,3.56
+665,2 8 9 10,8.16,88.80%,8.35,3.78
+666,3 5 6 6,8.16,92.20%,8.67,3.6
+667,5 8 11 13,8.16,88.80%,8.32,3.37
+668,6 8 8 10,8.16,91%,8.62,4.02
+669,2 4 8 11,8.17,92.70%,8.49,3.62
+670,5 5 8 8,8.18,84.80%,8.36,3.85
+671,5 5 8 9,8.19,89.60%,8.64,3.88
+672,9 10 12 13,8.19,93.50%,8.76,3.56
+673,1 3 6 13,8.2,91.80%,8.44,3.17
+674,2 2 6 10,8.21,95.10%,8.64,3.02
+675,1 8 11 13,8.22,88.20%,8.32,3.55
+676,2 2 4 11,8.24,91.50%,8.59,3.66
+677,5 8 9 11,8.24,89.90%,8.49,3.67
+678,3 4 5 10,8.26,90.30%,8.62,3.99
+679,1 2 8 9,8.28,93.40%,8.87,3.42
+680,1 6 11 12,8.28,88.80%,8.26,2.97
+681,2 5 10 11,8.28,94.10%,8.85,3.5
+682,5 6 9 10,8.28,90.80%,8.74,3.78
+683,1 3 4 9,8.3,94.50%,8.8,3.81
+684,3 4 7 10,8.3,93.30%,8.54,3.42
+685,6 6 7 9,8.3,90.70%,8.63,3.71
+686,6 8 8 11,8.3,87.70%,8.55,3.82
+687,2 4 4 4,8.31,94.60%,8.76,3.19
+688,2 9 10 11,8.33,88.70%,8.3,3.31
+689,4 4 8 11,8.33,87%,8.32,3.69
+690,4 4 4 9,8.34,88.30%,8.43,3.94
+691,6 8 10 13,8.36,86.60%,8.43,3.64
+692,2 8 8 11,8.37,84%,8.09,3.45
+693,4 7 8 9,8.37,92.10%,8.77,3.69
+694,1 6 12 13,8.38,89.40%,8.45,3.24
+695,4 4 7 12,8.38,89.40%,8.75,4.13
+696,6 6 8 9,8.38,90.30%,8.64,3.44
+697,1 2 2 7,8.39,91.70%,8.72,3.35
+698,1 2 6 13,8.4,90.60%,8.88,3.9
+699,2 3 3 7,8.4,92.10%,8.85,3.69
+700,2 4 7 10,8.4,91.20%,8.67,3.82
+701,2 9 12 13,8.4,90.60%,8.82,3.86
+702,6 6 9 11,8.4,88.80%,8.82,3.98
+703,3 3 7 11,8.41,92.20%,8.7,3.56
+704,3 3 8 12,8.41,91.70%,8.97,3.88
+705,1 4 9 10,8.42,93.20%,8.85,3.63
+706,3 6 8 9,8.42,93.80%,8.82,3.16
+707,4 4 6 11,8.42,86.30%,8.51,4.42
+708,1 6 10 13,8.44,87.60%,8.63,4.1
+709,1 3 4 10,8.45,92.90%,8.73,3.35
+710,2 9 10 13,8.45,90.20%,9.07,4.07
+711,5 6 10 13,8.45,91.50%,9.12,4.24
+712,3 11 12 12,8.46,90.80%,8.71,3.28
+713,6 6 8 11,8.47,82.90%,8.3,4.31
+714,7 8 8 11,8.48,80.60%,8.17,4.53
+715,1 2 7 8,8.49,94.30%,9.01,3.53
+716,1 11 13 13,8.49,91.30%,8.83,3.74
+717,1 4 6 7,8.5,87.30%,8.78,4.49
+718,2 10 11 13,8.5,89.50%,8.58,3.43
+719,5 7 8 8,8.5,82.70%,8.43,4.67
+720,2 2 3 13,8.51,87.60%,8.54,3.6
+721,2 3 10 13,8.51,93.40%,9.02,3.94
+722,2 4 6 6,8.52,94.10%,9.27,3.98
+723,4 5 6 7,8.54,90.30%,8.94,3.82
+724,4 5 8 12,8.54,93.30%,9.08,3.71
+725,3 6 7 12,8.55,90%,8.81,3.76
+726,3 7 7 13,8.56,93.40%,8.84,3.13
+727,1 2 9 13,8.57,93.30%,9.21,4.17
+728,2 2 4 13,8.57,91.10%,9.09,4.16
+729,4 4 9 11,8.57,82.50%,8.26,4.41
+730,1 2 3 11,8.58,95.70%,8.98,3.39
+731,2 4 6 9,8.58,91.80%,9.06,4.19
+732,2 8 11 12,8.58,88.30%,8.82,4.18
+733,4 4 4 11,8.58,86%,8.81,4.65
+734,1 2 3 3,8.59,95.50%,8.93,2.98
+735,4 5 9 13,8.59,89.30%,9.33,4.75
+736,4 6 10 12,8.59,93.80%,9.17,3.92
+737,2 4 9 9,8.6,90%,8.71,3.82
+738,2 6 6 10,8.61,94.10%,9.05,3.64
+739,1 2 5 13,8.62,94.30%,9.16,3.68
+740,6 8 9 13,8.62,93.90%,9.3,3.96
+741,2 9 11 11,8.63,89.30%,9.08,4.03
+742,1 3 9 13,8.65,93.70%,9.25,4.13
+743,2 2 8 10,8.65,94.30%,9.26,3.29
+744,2 4 7 11,8.66,92.50%,8.98,3.79
+745,2 6 7 8,8.66,89.60%,8.97,3.88
+746,1 3 4 7,8.67,95%,9.48,3.83
+747,4 8 9 11,8.68,93%,9.16,3.89
+748,6 6 8 10,8.68,90.10%,8.9,3.96
+749,5 5 9 10,8.69,86.90%,9.06,4.3
+750,2 3 7 11,8.7,91.70%,9.09,4.21
+751,2 8 9 11,8.7,90.50%,9.1,3.77
+752,2 4 10 13,8.71,88.90%,9.07,4.43
+753,1 3 8 8,8.72,86.50%,8.95,4.51
+754,3 9 9 10,8.73,86.70%,8.78,3.81
+755,4 11 12 13,8.74,91.20%,9.18,3.87
+756,1 2 6 11,8.75,90%,9.19,4.25
+757,2 5 7 10,8.75,92.20%,9.15,3.72
+758,3 4 7 7,8.75,94%,9.41,3.8
+759,6 8 12 12,8.77,91.50%,9.48,4.23
+760,2 3 5 9,8.79,92%,9.31,4.31
+761,4 4 8 10,8.8,91.40%,9.13,4.36
+762,3 7 10 13,8.82,88.20%,9.22,4.63
+763,4 5 8 8,8.82,86.40%,8.8,4.02
+764,3 4 4 5,8.83,91.10%,9.13,3.95
+765,3 5 9 12,8.83,90%,9.14,4.01
+766,4 8 8 12,8.83,94.40%,9.39,3.84
+767,4 12 12 12,8.83,86%,9.14,4.72
+768,2 2 5 6,8.84,88.60%,9.16,4.38
+769,9 10 11 13,8.84,89.70%,9.09,3.8
+770,2 3 4 13,8.85,90.90%,9.19,3.9
+771,3 10 11 12,8.85,89.40%,9.04,3.71
+772,4 4 8 13,8.85,86.70%,8.78,4.2
+773,5 6 6 10,8.85,88.90%,9.06,3.86
+774,1 1 3 10,8.86,88.10%,8.88,3.86
+775,1 2 4 5,8.86,90.40%,9.27,4.21
+776,1 4 5 10,8.86,91.20%,9.01,3.61
+777,2 5 8 13,8.87,93%,9.39,3.91
+778,3 5 6 9,8.88,92.50%,9.31,3.67
+779,7 8 10 13,8.89,92.10%,9.4,4.08
+780,6 6 8 13,8.9,83.80%,8.68,4.24
+781,3 9 10 12,8.92,90.20%,9.17,3.63
+782,1 2 4 9,8.93,90.80%,9.28,3.92
+783,1 3 3 10,8.94,89.60%,9.04,4.1
+784,1 5 5 9,8.94,88.40%,9.09,3.7
+785,1 4 6 9,8.95,86.10%,8.81,4.02
+786,2 3 9 9,8.96,90.50%,9.32,3.95
+787,4 4 5 10,8.96,86.30%,9.07,4.66
+788,6 6 6 12,8.96,89.50%,9.18,4.48
+789,1 3 5 10,8.97,93.20%,9.46,3.7
+790,2 11 12 13,8.97,89.80%,9.34,3.94
+791,2 2 5 7,8.98,88.90%,9.03,3.68
+792,8 8 9 13,8.98,81.20%,8.59,4.69
+793,2 2 3 6,8.99,91.60%,9.28,4.01
+794,3 4 7 11,8.99,87.30%,9.05,4.58
+795,3 5 6 7,8.99,89.50%,9.04,3.8
+796,4 5 5 9,8.99,91.30%,9.32,3.88
+797,4 7 10 10,8.99,83.90%,8.74,4.08
+798,3 6 12 13,9,86.30%,8.93,4.31
+799,5 5 6 7,9,90.80%,9.44,4.03
+800,6 8 11 13,9,86.30%,9.38,4.5
+801,1 5 9 11,9.02,93.10%,9.53,3.93
+802,2 10 11 11,9.02,86.40%,9.05,3.99
+803,7 12 12 13,9.05,82.60%,8.84,4.09
+804,5 10 10 12,9.08,86.70%,9.06,3.56
+805,1 5 6 8,9.1,90%,9.15,3.84
+806,2 2 3 11,9.1,86.10%,9.11,4.12
+807,2 2 5 11,9.1,87.40%,9.42,4.41
+808,2 5 8 9,9.1,92.50%,9.42,3.73
+809,2 3 4 11,9.11,88.50%,9.26,4.08
+810,2 3 6 10,9.11,92.20%,9.33,3.75
+811,1 3 5 7,9.13,90%,9.38,4.02
+812,1 5 10 13,9.13,88.60%,9.15,3.43
+813,5 7 8 9,9.18,88.90%,9.48,4.21
+814,5 11 12 12,9.19,82.80%,8.89,4.07
+815,8 8 8 13,9.19,84.70%,9.17,4.29
+816,3 3 6 11,9.21,90.20%,9.66,4.44
+817,3 7 8 9,9.21,86.90%,9.2,3.82
+818,2 8 8 10,9.22,92.80%,9.44,3.77
+819,4 7 7 11,9.22,87.50%,9.49,4.52
+820,2 3 8 12,9.23,93.20%,9.73,3.79
+821,3 5 5 9,9.23,83.30%,8.9,4.05
+822,5 6 7 12,9.23,84.60%,9.15,4.29
+823,2 3 4 4,9.25,94%,9.67,3.57
+824,3 3 3 9,9.25,84.50%,9.27,4.67
+825,1 2 7 9,9.26,93.30%,9.74,3.81
+826,1 9 11 13,9.26,88%,9.47,4.01
+827,2 2 6 8,9.27,95.50%,9.69,3.59
+828,5 8 9 12,9.29,92.30%,9.72,3.87
+829,1 1 4 10,9.3,85.60%,9.15,5.02
+830,4 5 10 13,9.3,91.10%,9.74,4.38
+831,2 3 3 9,9.31,93.20%,9.71,3.76
+832,3 3 4 9,9.34,92.10%,9.67,3.77
+833,3 4 6 10,9.34,89.80%,9.84,4.72
+834,3 4 6 12,9.34,93.30%,9.85,3.99
+835,3 7 7 10,9.34,89%,9.62,4.27
+836,3 9 11 12,9.35,90.10%,9.79,4.37
+837,2 4 4 7,9.37,89.40%,9.55,4.27
+838,3 4 5 9,9.38,84.90%,9.17,4.45
+839,4 5 7 12,9.4,87.50%,9.33,3.91
+840,2 7 9 13,9.41,87.20%,9.71,4.77
+841,5 9 9 11,9.44,89.50%,9.64,3.84
+842,6 6 6 8,9.44,91.40%,9.75,4.17
+843,1 7 12 12,9.45,80.60%,8.78,4.34
+844,1 6 9 10,9.46,91.80%,9.7,3.71
+845,2 5 6 10,9.46,88%,9.51,4.42
+846,3 8 9 12,9.46,90.20%,9.87,4.4
+847,2 3 6 11,9.47,90.20%,9.82,4.38
+848,2 4 5 9,9.49,86.30%,9.52,4.62
+849,4 7 11 12,9.49,86.30%,9.64,4.7
+850,2 2 4 9,9.51,90.50%,9.84,4.3
+851,2 6 8 8,9.51,92.50%,9.87,4.08
+852,4 5 5 7,9.51,82.40%,9.15,4.34
+853,2 3 8 11,9.53,92.70%,10.12,4.06
+854,4 7 8 13,9.53,90.70%,9.97,4.28
+855,6 6 8 12,9.53,90.80%,9.88,4.21
+856,5 6 8 9,9.54,89.90%,9.82,4.35
+857,3 3 5 9,9.55,87%,9.56,3.99
+858,4 5 7 11,9.55,87.30%,9.77,4.97
+859,4 9 12 12,9.56,89.40%,10.06,4.28
+860,3 3 6 9,9.57,94.20%,10.28,4.1
+861,3 5 9 13,9.57,91.30%,9.91,4.01
+862,3 7 8 13,9.57,84%,9.5,4.79
+863,4 4 5 7,9.57,85.10%,9.27,4.41
+864,1 5 5 11,9.61,88%,9.77,4.11
+865,2 4 6 13,9.65,87.20%,9.94,4.99
+866,6 7 9 12,9.65,86.80%,9.59,4.66
+867,1 5 6 13,9.7,90.30%,10.08,4.65
+868,3 8 8 11,9.71,89.50%,9.88,4.57
+869,2 3 4 10,9.72,91.90%,10.1,4.16
+870,6 6 8 8,9.72,86%,9.63,4.4
+871,4 9 9 10,9.73,89.90%,9.98,4.04
+872,3 3 7 9,9.74,90.60%,9.91,3.75
+873,1 7 9 10,9.78,86.80%,9.74,3.86
+874,2 3 9 13,9.79,87.50%,10.07,5.28
+875,3 3 3 5,9.79,85.70%,9.46,3.98
+876,5 6 9 12,9.79,87.20%,9.84,4.27
+877,6 9 10 11,9.8,91.40%,10.13,4.08
+878,2 4 5 11,9.82,87.60%,10.03,4.69
+879,1 2 5 10,9.83,91.70%,10.06,3.98
+880,2 2 2 5,9.85,78.70%,8.96,4.68
+881,6 12 13 13,9.85,87.30%,9.92,3.85
+882,3 3 6 10,9.87,86.40%,9.7,4.17
+883,3 4 8 11,9.88,87.20%,9.9,4.84
+884,4 4 6 13,9.88,82.60%,9.4,5.04
+885,4 6 7 10,9.88,86.50%,10.04,4.72
+886,6 11 11 12,9.89,86.40%,9.76,3.92
+887,3 6 9 11,9.91,86.80%,9.87,4.65
+888,5 7 9 13,9.94,90.90%,10.39,4.07
+889,2 4 12 12,9.95,85.70%,9.97,4.7
+890,4 9 11 12,9.96,89%,10.16,4.25
+891,7 8 9 13,9.96,84%,9.71,4.26
+892,2 6 12 12,9.97,89%,10.49,5.13
+893,3 4 5 6,9.97,84%,9.91,4.98
+894,6 10 12 12,9.98,88.80%,10.25,4.61
+895,5 5 5 9,10,87.60%,9.76,4.11
+896,5 5 6 11,10,87.10%,9.97,4.57
+897,6 8 9 9,10,86.20%,10.02,4.07
+898,3 3 6 13,10.01,86.40%,10.24,5.25
+899,6 8 9 11,10.01,84.40%,9.79,4.64
+900,1 3 3 11,10.02,88.20%,9.98,4.68
+901,4 5 6 10,10.02,90.30%,10.49,4.36
+902,1 2 4 7,10.03,89.10%,10.3,4.82
+903,2 5 8 11,10.03,85.90%,10.22,5.08
+904,3 4 4 13,10.03,88.80%,10.08,4.15
+905,6 7 8 9,10.03,84.50%,9.67,4.35
+906,1 11 11 13,10.06,87.70%,10.01,4.25
+907,1 8 10 11,10.07,86.90%,10.02,3.39
+908,2 3 6 9,10.1,93.10%,10.54,4.14
+909,1 3 5 9,10.11,90.60%,10.39,4.46
+910,3 3 7 12,10.11,84.50%,10.02,5.26
+911,4 5 7 9,10.12,86.70%,10.41,5
+912,1 2 8 13,10.13,91.30%,10.43,4.73
+913,4 6 6 9,10.14,87.60%,10.45,5.26
+914,1 4 4 8,10.15,89.70%,10.37,5.43
+915,1 5 10 11,10.16,86.30%,9.92,3.62
+916,3 4 6 11,10.16,88.90%,10.38,4.56
+917,2 4 8 9,10.17,84%,9.9,4.57
+918,1 4 5 13,10.18,87.70%,10.29,4.48
+919,2 2 7 12,10.19,83.20%,9.78,4.39
+920,3 3 6 7,10.19,88.70%,10.6,4.55
+921,1 5 9 13,10.2,84.90%,10.1,4.71
+922,5 6 7 13,10.2,86.40%,10.44,5.42
+923,5 5 8 10,10.21,81.30%,9.68,3.96
+924,2 4 6 12,10.23,94.50%,11.06,4.75
+925,6 7 8 11,10.24,83.90%,9.96,4.83
+926,7 9 9 13,10.26,88%,10.34,4.64
+927,3 6 9 12,10.27,92.70%,10.72,4.16
+928,6 9 12 13,10.28,88.30%,10.45,4.3
+929,4 7 9 13,10.29,84.30%,10.35,5.72
+930,5 6 8 12,10.29,87.90%,10.35,4.06
+931,2 4 6 7,10.31,90.10%,10.42,4.27
+932,2 5 10 10,10.32,78.30%,9.42,3.9
+933,6 6 7 12,10.32,83.80%,10.01,4.72
+934,6 9 9 11,10.33,82.40%,9.64,5
+935,5 8 11 12,10.34,86.90%,10.5,4.16
+936,5 6 8 10,10.35,87%,10.31,4.38
+937,6 11 12 13,10.36,80.10%,9.55,4.95
+938,2 2 8 8,10.38,91.40%,10.72,4.71
+939,2 7 12 13,10.44,80.40%,9.67,4.84
+940,2 6 8 12,10.45,94%,11.09,4.51
+941,3 4 9 13,10.45,79.60%,9.45,5.34
+942,4 5 10 12,10.45,86.20%,10.27,4.29
+943,1 2 7 11,10.5,88.10%,10.57,4.68
+944,4 5 6 8,10.5,87.30%,10.41,4.23
+945,6 10 12 13,10.5,82.50%,10.05,4.71
+946,1 3 9 9,10.51,85.20%,10.11,4.02
+947,1 4 4 11,10.51,86.70%,10.49,5.21
+948,2 3 9 10,10.55,90%,10.75,4.18
+949,1 2 3 13,10.59,91.70%,10.95,4.79
+950,1 6 6 6,10.59,85.60%,10.17,5.05
+951,1 2 2 9,10.62,82.40%,9.9,4.48
+952,1 3 6 11,10.64,88.10%,10.57,4.29
+953,5 10 12 13,10.64,83.50%,10.21,4.41
+954,2 3 6 6,10.65,91.90%,11.04,4.36
+955,6 7 10 12,10.66,85.20%,10.62,4.7
+956,7 8 8 12,10.66,83.60%,10.32,4.47
+957,3 4 6 8,10.69,90.70%,11.2,5.02
+958,1 7 9 11,10.71,85.10%,10.44,4.24
+959,2 3 6 13,10.71,90%,10.81,4.54
+960,2 2 5 12,10.72,84.80%,10.48,5.13
+961,2 6 8 13,10.72,87.20%,10.87,5.06
+962,8 8 10 12,10.72,78.70%,9.71,5.6
+963,1 3 8 13,10.73,90.40%,11.06,5.02
+964,4 4 7 10,10.74,75.20%,8.92,4.39
+965,1 7 10 13,10.75,83.70%,10.33,4.61
+966,1 9 10 13,10.76,83%,10.25,4.39
+967,3 3 4 11,10.76,88.60%,10.88,5.41
+968,2 5 7 7,10.77,82.90%,10.41,4.71
+969,3 9 10 13,10.83,83%,10.85,6.21
+970,2 3 4 7,10.87,86.70%,10.78,4.85
+971,4 4 8 12,10.87,92%,11.49,4.93
+972,1 2 6 10,10.89,86.80%,10.8,4.94
+973,1 5 12 12,10.9,81.30%,10.12,4.86
+974,5 6 6 8,10.92,81.50%,10.49,5.85
+975,7 7 8 11,10.95,80.40%,10.02,4.42
+976,1 3 7 10,10.97,86.50%,10.9,5.15
+977,3 3 9 12,10.97,87%,10.96,4.84
+978,3 5 7 10,10.99,84.50%,10.67,5.1
+979,4 10 12 13,10.99,81.50%,10.2,5.37
+980,2 3 10 12,11,86.40%,11.17,4.04
+981,3 4 6 6,11.01,90.50%,11.26,4.63
+982,5 8 8 8,11.02,80.20%,10.42,5.19
+983,6 8 8 12,11.02,88.10%,11.31,4.99
+984,2 3 4 9,11.05,88.20%,11.11,4.67
+985,2 6 7 11,11.07,82.60%,10.49,5.02
+986,5 9 12 12,11.07,83%,10.77,4.73
+987,1 2 7 12,11.1,77.90%,9.65,5.55
+988,2 4 5 6,11.11,91%,11.61,4.46
+989,5 5 8 13,11.11,80.80%,10.59,4.46
+990,2 3 3 10,11.15,84.60%,11.25,4.87
+991,3 4 8 12,11.17,87.70%,11.15,5.42
+992,2 4 6 11,11.18,85.10%,10.98,5.39
+993,2 2 8 9,11.21,87%,11.42,4.95
+994,1 5 6 7,11.22,88.70%,11.53,4.63
+995,5 8 10 11,11.22,87.10%,10.92,4.73
+996,4 4 9 12,11.24,78.30%,10.16,4.72
+997,2 5 6 6,11.25,78%,9.88,5.53
+998,2 4 9 12,11.26,87.20%,11.26,4.76
+999,4 8 11 13,11.28,82.40%,10.45,5.14
+1000,4 9 10 13,11.28,82.40%,10.72,4.8
+1001,3 3 5 12,11.31,86.70%,11.38,5.1
+1002,2 4 4 6,11.32,90.20%,11.66,4.67
+1003,2 4 6 8,11.33,93.30%,11.77,4.44
+1004,3 4 6 9,11.33,82.50%,10.75,5.42
+1005,2 3 4 5,11.35,84.40%,10.97,5.57
+1006,3 3 6 12,11.36,86.90%,11.51,6.01
+1007,3 6 7 13,11.36,82.50%,10.76,6.05
+1008,1 4 7 7,11.38,85.50%,11.25,4.6
+1009,4 4 5 11,11.39,85%,11.3,4.82
+1010,6 7 9 9,11.41,80.40%,10.68,5.9
+1011,7 8 10 10,11.42,79.10%,10.55,4.89
+1012,4 8 9 13,11.43,82.70%,10.72,5.97
+1013,1 3 4 8,11.45,89.60%,11.57,4.61
+1014,8 9 9 12,11.45,82.40%,10.81,4.71
+1015,3 7 8 11,11.51,83%,11.11,5.62
+1016,4 6 7 12,11.52,81.40%,11.17,5.36
+1017,1 6 7 9,11.54,84.40%,11.3,4.67
+1018,3 7 9 12,11.54,85.90%,11.56,5.56
+1019,4 5 6 13,11.55,78%,10.18,5.07
+1020,3 3 5 13,11.57,84.90%,11.35,4.69
+1021,2 3 5 7,11.58,88.90%,11.67,4.97
+1022,4 6 8 13,11.61,81%,10.84,5.09
+1023,2 7 9 11,11.62,83.50%,11.26,5.31
+1024,1 3 7 12,11.64,85.40%,10.98,4.98
+1025,3 5 7 9,11.66,86.20%,11.44,4.86
+1026,2 6 10 13,11.67,84.60%,11.3,5.46
+1027,6 8 9 12,11.67,86.60%,11.68,5.06
+1028,1 5 7 9,11.68,84.40%,11.15,4.84
+1029,1 3 7 7,11.69,85.20%,11.44,4.62
+1030,2 9 11 13,11.7,82.20%,11.25,5.36
+1031,3 7 9 11,11.7,88.10%,11.82,4.84
+1032,4 8 8 10,11.71,85.70%,11.63,5.51
+1033,1 4 8 9,11.73,89%,11.9,5.07
+1034,2 5 11 12,11.73,77.10%,10.24,5.29
+1035,2 3 7 13,11.77,86.30%,11.62,5.24
+1036,3 5 10 13,11.79,82.30%,11.04,5.37
+1037,3 5 6 10,11.83,85.80%,11.63,5.59
+1038,4 5 5 10,11.86,81.20%,10.96,4.46
+1039,7 8 9 10,11.86,79.80%,11.04,5.33
+1040,2 5 8 10,11.88,82.90%,11.02,4.82
+1041,4 6 6 12,11.88,86%,11.56,5.8
+1042,5 8 10 12,11.88,84.30%,11.18,5.05
+1043,3 3 3 11,11.91,78%,10.71,5.38
+1044,5 5 8 12,11.91,79.50%,10.98,5.06
+1045,1 3 3 6,11.93,87.20%,11.83,5.16
+1046,2 5 7 13,11.99,83.80%,11.74,5.61
+1047,1 5 8 11,12.07,89.20%,12.42,5.56
+1048,2 3 5 13,12.07,85.50%,11.88,5.34
+1049,3 4 8 9,12.07,88.10%,12.24,5.03
+1050,2 5 5 7,12.09,82%,11.59,4.86
+1051,4 10 11 13,12.16,76.20%,10.51,5.57
+1052,2 6 6 7,12.21,78.40%,10.67,5.54
+1053,7 10 10 12,12.21,78%,11.01,5.07
+1054,2 5 7 11,12.22,82.40%,11.59,5.71
+1055,4 4 6 9,12.24,77.40%,10.48,5.57
+1056,6 9 10 12,12.25,80.50%,11.36,5.94
+1057,6 9 9 12,12.26,87%,12.17,5.82
+1058,2 3 6 12,12.28,91%,12.71,5.2
+1059,2 4 4 5,12.28,82.10%,11.3,5.16
+1060,2 4 4 10,12.28,89.60%,12.37,5.14
+1061,3 3 3 4,12.34,82.40%,11.57,6.01
+1062,2 2 2 7,12.35,73.30%,9.51,5.67
+1063,4 9 10 11,12.38,76.80%,10.69,5.81
+1064,7 9 10 11,12.41,76.90%,10.81,5.32
+1065,1 4 5 7,12.43,87.90%,12.45,5.27
+1066,3 4 9 9,12.43,84.20%,12.03,4.99
+1067,3 3 6 8,12.46,74.60%,10.38,5.58
+1068,4 4 7 8,12.52,83.80%,12.28,5.55
+1069,3 5 11 12,12.56,79.90%,11.32,5.7
+1070,4 4 6 10,12.57,87.50%,12.6,5.35
+1071,4 6 9 13,12.58,85.50%,12.59,5.18
+1072,3 5 6 11,12.59,82.50%,11.93,6.55
+1073,1 5 8 13,12.64,80.10%,11.42,5.73
+1074,3 3 9 13,12.64,74.60%,10.56,5.85
+1075,7 7 9 10,12.64,75.80%,11.23,5.19
+1076,2 4 8 13,12.7,82.20%,12.07,5.92
+1077,4 4 6 8,12.7,84.20%,12.14,6.52
+1078,2 4 5 7,12.71,78.40%,11.3,5.62
+1079,1 4 7 9,12.74,82.20%,12,5.11
+1080,4 7 10 12,12.74,79.80%,11.37,5.54
+1081,4 5 8 13,12.76,78%,11.33,5.89
+1082,5 6 10 12,12.78,75.80%,10.91,5.45
+1083,6 9 11 13,12.78,72.50%,10.29,5.96
+1084,5 7 7 9,12.8,74.20%,11.06,5.06
+1085,1 4 5 9,12.83,81.90%,11.81,6.41
+1086,5 7 11 13,12.83,70.80%,10,5.17
+1087,3 3 5 10,12.84,82.90%,12.05,5.32
+1088,4 8 12 12,12.85,85.60%,12.23,5.83
+1089,2 3 3 3,12.87,82.10%,11.84,5.96
+1090,2 5 10 13,12.92,82.10%,12.4,5.91
+1091,1 4 6 6,12.97,80%,11.77,6.38
+1092,2 3 8 8,12.98,80.40%,11.84,5.7
+1093,6 9 11 12,13.02,75.90%,10.98,5.93
+1094,1 1 6 9,13.05,81%,11.34,6.4
+1095,5 9 10 13,13.05,78%,11.54,5.87
+1096,1 5 6 11,13.06,81%,11.93,6.47
+1097,4 4 5 12,13.09,79%,11.5,5.91
+1098,3 5 6 13,13.1,76%,11.28,5.52
+1099,1 4 5 8,13.16,82.70%,12.46,5.64
+1100,5 5 7 10,13.19,73.80%,11.38,4.96
+1101,2 2 2 9,13.21,76.60%,10.98,6.35
+1102,5 7 10 10,13.28,76.50%,12.05,5.27
+1103,2 3 5 10,13.29,80.20%,12.07,5.35
+1104,2 8 10 13,13.34,80.90%,12.56,5.95
+1105,6 7 7 10,13.34,73%,10.83,5.3
+1106,2 7 10 11,13.37,78.90%,12.25,6.04
+1107,3 5 7 8,13.37,85.40%,12.95,5.94
+1108,6 8 11 12,13.39,77.90%,12.23,5.74
+1109,1 3 6 10,13.46,82.10%,12.08,6.87
+1110,4 10 10 12,13.46,78.40%,12.16,6.28
+1111,7 10 11 13,13.49,73.30%,11.07,5.79
+1112,4 5 8 10,13.55,75.90%,11.31,5.9
+1113,3 8 9 11,13.57,80.10%,12.64,6.8
+1114,6 12 12 12,13.66,76.60%,11.63,6.62
+1115,2 10 12 13,13.77,81.40%,13.06,6.04
+1116,6 7 10 10,13.83,70.80%,10.47,5.73
+1117,2 3 7 8,13.89,80.20%,12.68,5.59
+1118,3 5 9 9,13.9,79.40%,12.9,6.13
+1119,2 2 5 9,13.93,74.30%,11.71,6.28
+1120,2 4 7 9,13.95,80.60%,13.14,6.36
+1121,2 3 8 9,14.01,81.30%,12.85,6.23
+1122,3 5 5 11,14.19,79%,13.09,5.43
+1123,3 3 9 11,14.2,79.10%,13.05,5.65
+1124,5 7 9 11,14.2,71.10%,11.09,5.89
+1125,1 3 7 9,14.22,80.40%,12.74,5.47
+1126,2 4 9 10,14.24,79.30%,12.99,6
+1127,3 5 12 12,14.26,67.20%,9.62,5.75
+1128,3 3 8 10,14.27,80.30%,13.49,5.53
+1129,4 4 5 13,14.32,73.30%,11.87,7.01
+1130,3 4 4 11,14.39,76.40%,12.57,6.37
+1131,4 5 8 11,14.4,73.80%,11.71,6.59
+1132,3 4 4 10,14.42,77.10%,12.1,6.66
+1133,2 6 12 13,14.46,78.60%,13.39,5.8
+1134,3 6 11 13,14.46,73.20%,11.3,6.74
+1135,1 3 5 6,14.49,86.30%,14.16,5.91
+1136,3 3 4 13,14.49,76.80%,12.26,6.76
+1137,4 6 9 12,14.54,77.80%,12.61,7.02
+1138,6 10 10 13,14.57,69.10%,10.81,5.99
+1139,2 5 9 10,14.58,78.10%,13.05,6.18
+1140,5 5 9 11,14.6,71.10%,12.27,5.16
+1141,3 4 7 12,14.65,82.40%,14.04,6.09
+1142,2 6 9 12,14.66,82.70%,13.71,6.54
+1143,5 6 6 12,14.72,80.70%,13.46,6.01
+1144,2 5 9 11,14.75,76.50%,13.08,6.84
+1145,5 9 9 12,14.78,75.70%,12.97,6.67
+1146,4 4 4 10,14.82,76.90%,12.75,6.5
+1147,3 4 10 10,14.86,75.50%,12.9,6.06
+1148,2 2 5 10,14.91,78.60%,13.45,5.78
+1149,3 3 9 10,14.94,78.10%,13.6,6.1
+1150,4 7 8 12,14.95,79.40%,13.86,6.69
+1151,7 9 12 12,14.96,64.20%,9.28,5.41
+1152,2 2 7 7,14.97,69.80%,11.21,5.96
+1153,3 6 8 13,14.97,81.30%,14.28,6.12
+1154,2 2 3 4,14.98,77.40%,13.18,6.13
+1155,5 7 8 10,14.99,71.20%,12.15,5.63
+1156,1 5 11 12,15.01,71%,11.36,6.19
+1157,4 6 8 10,15.11,76.70%,12.71,7.59
+1158,2 4 10 11,15.16,79.20%,13.93,6.45
+1159,3 6 6 13,15.17,72.80%,12.06,6.38
+1160,3 6 8 12,15.17,80.50%,13.79,6.15
+1161,1 4 4 6,15.31,79.60%,13.55,6.77
+1162,2 5 8 8,15.42,71%,11.68,6.59
+1163,7 7 7 12,15.42,65.20%,8.98,6.11
+1164,4 5 7 13,15.43,72.80%,12.42,6.22
+1165,5 5 5 12,15.48,67.40%,10.23,6.42
+1166,2 6 11 12,15.49,77.70%,13.96,6.35
+1167,2 3 8 10,15.61,82.20%,14.94,6.54
+1168,1 5 5 10,15.65,71.20%,11.64,6.98
+1169,2 5 5 9,15.7,78.50%,14.39,5.98
+1170,5 7 12 12,15.74,66%,10.44,6.26
+1171,4 7 8 11,15.79,69%,10.78,6.62
+1172,3 3 8 13,15.87,69.70%,11.39,6.25
+1173,1 3 12 13,16.02,75.60%,13.66,6.86
+1174,1 3 8 10,16.05,71%,12.31,6.49
+1175,2 3 6 7,16.08,80.80%,15.05,6.62
+1176,2 2 6 7,16.26,72.50%,13.03,6.84
+1177,5 6 9 13,16.28,69%,12.46,6.11
+1178,6 10 11 12,16.3,69.70%,12.94,6.17
+1179,4 9 9 12,16.33,71.80%,13.42,6.47
+1180,2 6 6 9,16.46,72.80%,13.03,6.55
+1181,1 3 11 12,16.48,75.60%,14.03,7.05
+1182,3 10 11 13,16.48,71.20%,13.31,6.3
+1183,1 4 10 12,16.53,72.10%,12.81,6.61
+1184,5 5 6 8,16.54,78.10%,14.9,6.54
+1185,6 8 9 10,16.55,71.20%,12.69,7.07
+1186,2 6 10 11,16.57,73.10%,13.69,6.98
+1187,3 9 9 13,16.62,67.20%,12.08,6.04
+1188,2 4 4 9,16.71,73.40%,13.42,7.28
+1189,10 12 12 12,16.86,64.10%,10.25,5.73
+1190,2 3 7 10,16.91,76.90%,14.96,6.78
+1191,2 7 10 10,17.01,68.10%,13.35,5.81
+1192,8 8 8 11,17.01,63.50%,10.21,5.97
+1193,6 6 9 10,17.09,69.80%,13.35,6.88
+1194,2 3 7 7,17.1,76.50%,15.28,6.63
+1195,6 6 6 10,17.22,66%,11.49,6.49
+1196,5 7 7 10,17.26,68%,13.19,6.49
+1197,2 2 9 12,17.27,72.90%,14.93,6.39
+1198,3 6 8 10,17.4,66.60%,11.97,6.77
+1199,3 5 7 12,17.46,71%,14.01,7.67
+1200,3 5 8 9,17.49,75.80%,15.67,7.53
+1201,3 9 9 11,17.68,70.50%,13.69,7.48
+1202,2 8 10 12,17.74,79.80%,16.35,7.45
+1203,3 8 9 13,17.76,73.40%,15.28,7.09
+1204,9 9 9 12,17.85,63.80%,9.66,6.59
+1205,3 4 8 13,17.98,70%,13.65,7.61
+1206,2 6 7 10,18.01,69.80%,12.96,7.22
+1207,2 6 9 10,18.43,69.70%,14.78,6.85
+1208,4 5 6 9,18.44,75.30%,16.49,7.02
+1209,8 10 12 13,18.47,67.30%,14.31,6.27
+1210,2 6 8 9,18.52,72.40%,15.58,6.65
+1211,3 5 12 13,18.66,67.90%,14.53,6.59
+1212,2 4 7 8,18.98,76.50%,16.76,7.16
+1213,4 8 9 12,18.98,72.50%,16.31,6.84
+1214,3 5 9 10,19.12,68.10%,14.34,7.53
+1215,2 3 10 10,19.18,69.50%,14.5,7.5
+1216,2 2 4 12,19.2,75.10%,15.22,9.15
+1217,2 2 9 10,19.3,65.30%,14.24,7.34
+1218,2 7 10 12,19.38,70.20%,15.86,7.05
+1219,2 2 4 4,19.5,72%,15.01,8.18
+1220,2 3 11 11,19.52,68.30%,14.88,7.67
+1221,1 3 3 8,19.57,74%,15.7,7.86
+1222,6 8 8 9,19.59,63%,11.71,7.2
+1223,8 10 12 12,19.59,63.60%,11.62,7.37
+1224,10 10 10 12,19.93,61.50%,10.24,6.8
+1225,2 3 9 12,20.01,67.30%,13.12,7.61
+1226,6 8 10 11,20.09,64.60%,13.61,7.17
+1227,7 8 8 10,20.1,61.20%,12.07,7.63
+1228,1 5 7 10,20.39,69.50%,16.27,7.63
+1229,3 5 10 11,20.53,69.50%,15.99,8.37
+1230,5 9 12 13,20.53,64.40%,15.67,7.03
+1231,1 3 8 11,20.54,73.40%,16.85,8.28
+1232,2 7 12 12,20.66,62.80%,12.25,7.39
+1233,1 2 8 10,20.88,67.70%,15.12,7.81
+1234,9 11 12 12,20.88,59.50%,10.72,6.43
+1235,1 6 10 12,21.11,65.80%,13.99,7.82
+1236,4 4 8 9,21.14,69.60%,16.8,8.28
+1237,2 3 3 5,21.16,69.50%,15.7,8.49
+1238,3 6 9 13,21.16,68.90%,17.22,7.59
+1239,3 3 7 8,21.37,68.30%,16.85,8.09
+1240,3 5 7 11,21.39,64%,14.47,7.8
+1241,2 3 5 8,21.44,72.90%,17.88,7.71
+1242,4 5 7 10,21.65,63.60%,14.31,7.8
+1243,5 7 10 13,22.5,61.60%,16.46,7.35
+1244,2 9 10 10,22.59,60.60%,16.58,7.36
+1245,2 4 5 10,22.9,67%,17.3,8.07
+1246,2 3 6 8,23.06,75.30%,20.16,8.88
+1247,5 9 11 13,23.25,61.50%,16.69,7.75
+1248,3 4 5 13,23.39,65.60%,17.76,8.49
+1249,1 5 9 12,23.75,62.60%,14.09,8.74
+1250,3 4 4 4,24.47,67.30%,17.82,9.81
+1251,5 7 9 10,24.53,61%,15.63,8.68
+1252,6 6 7 11,24.57,58%,13.11,8.12
+1253,2 5 10 12,24.67,63.70%,17.88,8.55
+1254,4 10 11 12,24.71,62.90%,17.56,8.97
+1255,2 4 5 5,24.72,60.40%,15.23,8.46
+1256,2 2 5 8,24.84,63.50%,16.69,9.19
+1257,8 8 9 12,24.93,56.70%,12.65,7.52
+1258,3 4 7 8,25.04,61.10%,14.33,8.25
+1259,5 6 6 9,25.04,59.20%,14.12,8.75
+1260,3 5 10 10,25.12,54.30%,12.34,6.59
+1261,2 2 6 11,25.22,62.20%,18.4,8.58
+1262,4 9 10 12,25.27,61.70%,17.05,9.01
+1263,8 9 11 11,25.64,58%,15.82,8.41
+1264,3 9 11 13,26.26,57.60%,13.9,8.31
+1265,4 7 8 10,26.26,62.90%,18.82,9.21
+1266,5 6 7 9,26.31,60.10%,16.12,9.07
+1267,2 6 9 9,26.53,58%,14.29,8.07
+1268,2 3 13 13,26.93,58.40%,17.55,9.57
+1269,1 7 12 13,27.75,56.30%,15.1,9.28
+1270,1 4 9 13,27.76,61.10%,18.83,10.02
+1271,4 10 10 11,27.76,54.80%,19.34,9.04
+1272,3 4 5 11,28.16,63.30%,20.54,9.87
+1273,3 3 6 6,28.41,58%,14.18,8.38
+1274,6 6 9 13,28.91,53.80%,13.19,8.3
+1275,4 5 9 12,29.11,60.90%,22.06,10.07
+1276,2 3 7 9,30.64,57.60%,18.33,10.12
+1277,4 4 7 13,30.78,53.80%,15.04,9.44
+1278,2 2 7 10,30.9,53.40%,16.2,8.61
+1279,2 5 12 13,31.29,58%,22.35,9.97
+1280,1 4 6 10,31.39,56.30%,18.81,9.37
+1281,3 6 7 10,31.92,57.40%,21.85,10.37
+1282,1 2 7 7,32.73,55%,17.28,10.37
+1283,2 5 8 12,32.82,54.60%,17.78,9.75
+1284,3 8 10 12,34.45,53.60%,20.48,10.33
+1285,6 7 11 11,35.1,46.40%,19.8,10.15
+1286,2 2 3 10,35.18,54.90%,18.21,10.27
+1287,2 5 7 9,35.29,52.70%,23.49,10.35
+1288,2 4 7 7,35.73,50.70%,17.22,9.67
+1289,2 2 6 9,36.11,52.10%,17.94,10.05
+1290,7 9 11 12,36.61,50%,17.36,10.44
+1291,4 7 9 11,37.32,51.40%,22.71,11.23
+1292,2 2 3 5,38.49,51.50%,15.34,8.81
+1293,5 5 8 11,39.1,45.80%,24.18,10.92
+1294,3 6 6 10,39.12,50.30%,18.48,10.7
+1295,7 8 9 12,41.23,48.70%,16.03,10.12
+1296,1 5 11 11,41.41,43.30%,15.93,9.75
+1297,5 10 10 11,42.21,41.30%,14.82,7.03
+1298,1 2 9 11,45.03,44.90%,22.27,12.16
+1299,1 5 5 5,45.49,43.60%,11.92,7.27
+1300,4 9 11 11,47.16,43.30%,25.26,13.98
+1301,5 9 10 11,47.17,42.70%,28.12,13.4
+1302,1 7 13 13,47.38,41.70%,13.99,8.41
+1303,6 7 7 11,48.6,42.40%,27.65,14.51
+1304,3 3 7 7,48.84,41.20%,12.6,7.37
+1305,5 10 10 13,49.61,38.50%,17.09,8.06
+1306,3 5 8 13,50.53,41.90%,30.48,13.89
+1307,8 9 10 12,51.24,42.50%,21.95,13.98
+1308,2 5 6 9,52.95,44%,27.17,13.41
+1309,1 6 11 13,54.62,38.10%,18.47,9.98
+1310,1 3 9 10,55.16,40.80%,23.19,12.28
+1311,4 6 6 10,55.98,40.20%,22.83,12.31
+1312,4 4 7 7,56.41,38.80%,14.56,8.11
+1313,2 2 11 11,57.22,40.10%,13.2,8.62
+1314,5 7 9 12,57.59,39.60%,17.8,11.41
+1315,4 5 6 12,58.44,44.10%,21.82,16.05
+1316,4 6 7 9,58.49,42%,19.47,12.15
+1317,6 12 12 13,60.5,37.90%,15.11,8.3
+1318,4 4 10 10,60.61,39.70%,13.47,9.13
+1319,4 7 11 13,61.01,37%,30.84,16.48
+1320,4 5 6 11,61.48,38%,19.42,10.88
+1321,3 5 8 12,62.47,38%,27.97,13.34
+1322,3 4 6 13,63.1,40.40%,20.37,11.69
+1323,6 7 8 12,63.27,40.70%,16.9,12.18
+1324,2 4 11 12,63.58,39.40%,23.37,13.12
+1325,5 7 10 11,64.03,35.50%,23.76,13.12
+1326,2 2 13 13,64.44,37.30%,14.05,8.25
+1327,6 11 12 12,64.75,36.30%,15.4,8.93
+1328,5 8 9 13,64.8,34.90%,34.56,16.2
+1329,7 10 12 13,67.86,37.40%,22.3,12.55
+1330,5 6 8 13,68.54,36.40%,22.65,11.42
+1331,2 7 8 9,69.74,39.80%,18.28,10.87
+1332,2 2 6 13,71.49,33.10%,30.83,16.35
+1333,5 6 9 11,72.21,33.40%,26.15,15
+1334,1 4 7 11,72.93,35.70%,29.78,16.43
+1335,6 9 9 10,80.98,31.60%,32.75,18.6
+1336,2 5 7 8,83.96,32.90%,28.52,15.64
+1337,7 8 8 13,84.91,29.50%,27.08,15.03
+1338,5 7 7 11,88.29,27.40%,25.62,12.84
+1339,3 3 7 13,88.82,27.60%,32.8,18.62
+1340,4 8 8 13,88.89,29.10%,24.53,14.05
+1341,4 8 8 11,88.95,30%,23.19,13.84
+1342,3 8 8 10,90.4,28.90%,25.35,16.08
+1343,2 7 7 10,90.8,27%,26.85,12.93
+1344,5 5 7 11,91.1,26.10%,25.79,13.15
+1345,2 3 8 13,92.19,32%,23.64,12.74
+1346,7 8 10 11,95.22,29.80%,24.05,14.09
+1347,2 2 10 11,96.37,30.20%,26.2,17.05
+1348,9 11 12 13,99.38,27.90%,22.06,13.19
+1349,1 6 6 8,101.21,29.80%,21.64,13.19
+1350,3 3 8 8,104.24,30.80%,15.65,10.6
+1351,1 8 12 12,104.58,29%,20.38,13.12
+1352,3 3 5 7,104.76,29.20%,28.32,17.86
+1353,2 4 7 12,108.41,28.10%,28.97,16.35
+1354,2 9 13 13,110.09,24.90%,30.9,19.5
+1355,3 7 9 13,110.86,26%,39.84,21.67
+1356,2 4 10 10,111.72,25.80%,28.72,18.53
+1357,3 6 6 11,112.28,27.10%,24.73,15.29
+1358,3 5 7 13,122.99,23.60%,38.68,21.2
+1359,2 5 5 10,188.2,22.10%,24.09,16.42
+1360,1 4 5 6,195.91,28.70%,18.38,11.81
+1361,1 3 4 6,201.57,26.90%,19.77,12.1
 1362,2 3 5 12,207.89,20.70%,29.96,22.37
\ No newline at end of file
diff --git a/data/crosswords/mini0505.json b/src/tot/data/crosswords/mini0505.json
similarity index 100%
rename from data/crosswords/mini0505.json
rename to src/tot/data/crosswords/mini0505.json
diff --git a/data/crosswords/mini0505_0_100_5.json b/src/tot/data/crosswords/mini0505_0_100_5.json
similarity index 100%
rename from data/crosswords/mini0505_0_100_5.json
rename to src/tot/data/crosswords/mini0505_0_100_5.json
diff --git a/data/text/data_100_random_text.txt b/src/tot/data/text/data_100_random_text.txt
similarity index 100%
rename from data/text/data_100_random_text.txt
rename to src/tot/data/text/data_100_random_text.txt
diff --git a/src/tot/methods/bfs.py b/src/tot/methods/bfs.py
new file mode 100644
index 0000000..4675bb9
--- /dev/null
+++ b/src/tot/methods/bfs.py
@@ -0,0 +1,96 @@
+import itertools
+import numpy as np
+from functools import partial
+from tot.models import gpt
+
+def get_value(task, x, y, n_evaluate_sample, cache_value=True):
+    value_prompt = task.value_prompt_wrap(x, y)
+    if cache_value and value_prompt in task.value_cache:
+        return task.value_cache[value_prompt]
+    value_outputs = gpt(value_prompt, n=n_evaluate_sample, stop=None)
+    value = task.value_outputs_unwrap(x, y, value_outputs)
+    if cache_value:
+        task.value_cache[value_prompt] = value
+    return value
+
+def get_values(task, x, ys, n_evaluate_sample, cache_value=True):
+    values = []
+    local_value_cache = {}
+    for y in ys:  # each partial output
+        if y in local_value_cache:  # avoid duplicate candidates
+            value = 0
+        else:    
+            value = get_value(task, x, y, n_evaluate_sample, cache_value=cache_value)
+            local_value_cache[y] = value
+        values.append(value)
+    return values
+
+def get_votes(task, x, ys, n_evaluate_sample):
+    vote_prompt = task.vote_prompt_wrap(x, ys)
+    vote_outputs = gpt(vote_prompt, n=n_evaluate_sample, stop=None)
+    values = task.vote_outputs_unwrap(vote_outputs, len(ys))
+    return values
+
+def get_proposals(task, x, y): 
+    propose_prompt = task.propose_prompt_wrap(x, y)
+    proposals = gpt(propose_prompt, n=1, stop=None)[0].split('\n')
+    return [y + _ + '\n' for _ in proposals]
+
+def get_samples(task, x, y, n_generate_sample, prompt_sample, stop):
+    if prompt_sample == 'standard':
+        prompt = task.standard_prompt_wrap(x, y)
+    elif prompt_sample == 'cot':
+        prompt = task.cot_prompt_wrap(x, y)
+    else:
+        raise ValueError(f'prompt_sample {prompt_sample} not recognized')
+    samples = gpt(prompt, n=n_generate_sample, stop=stop)
+    return [y + _ for _ in samples]
+
+def solve(args, task, idx, to_print=True):
+    global gpt
+    gpt = partial(gpt, model=args.backend, temperature=args.temperature)
+    print(gpt)
+    x = task.get_input(idx)  # input
+    ys = ['']  # current output candidates
+    infos = []
+    for step in range(task.steps):
+        # generation
+        if args.method_generate == 'sample':
+            new_ys = [get_samples(task, x, y, args.n_generate_sample, prompt_sample=args.prompt_sample, stop=task.stops[step]) for y in ys]
+        elif args.method_generate == 'propose':
+            new_ys = [get_proposals(task, x, y) for y in ys]
+        new_ys = list(itertools.chain(*new_ys))
+        ids = list(range(len(new_ys)))
+        # evaluation
+        if args.method_evaluate == 'vote':
+            values = get_votes(task, x, new_ys, args.n_evaluate_sample)
+        elif args.method_evaluate == 'value':
+            values = get_values(task, x, new_ys, args.n_evaluate_sample)
+
+        # selection
+        if args.method_select == 'sample':
+            ps = np.array(values) / sum(values)
+            select_ids = np.random.choice(ids, size=args.n_select_sample, p=ps).tolist()
+        elif args.method_select == 'greedy':
+            select_ids = sorted(ids, key=lambda x: values[x], reverse=True)[:args.n_select_sample]
+        select_new_ys = [new_ys[select_id] for select_id in select_ids]
+
+        # log
+        if to_print: 
+            sorted_new_ys, sorted_values = zip(*sorted(zip(new_ys, values), key=lambda x: x[1], reverse=True))
+            print(f'-- new_ys --: {sorted_new_ys}\n-- sol values --: {sorted_values}\n-- choices --: {select_new_ys}\n')
+        
+        infos.append({'step': step, 'x': x, 'ys': ys, 'new_ys': new_ys, 'values': values, 'select_new_ys': select_new_ys})
+        ys = select_new_ys
+    
+    if to_print: 
+        print(ys)
+    return ys, {'steps': infos}
+
+def naive_solve(args, task, idx, to_print=True):
+    global gpt
+    gpt = partial(gpt, model=args.backend, temperature=args.temperature)
+    print(gpt)
+    x = task.get_input(idx)  # input
+    ys = get_samples(task, x, '', args.n_generate_sample, args.prompt_sample, stop=None)
+    return ys, {}
\ No newline at end of file
diff --git a/models.py b/src/tot/models.py
similarity index 95%
rename from models.py
rename to src/tot/models.py
index 7188d9e..05710d6 100644
--- a/models.py
+++ b/src/tot/models.py
@@ -41,5 +41,5 @@ def gpt_usage(backend="gpt-4"):
     if backend == "gpt-4":
         cost = completion_tokens / 1000 * 0.06 + prompt_tokens / 1000 * 0.03
     elif backend == "gpt-3.5-turbo":
-        cost = completion_tokens / 1000 * 0.002 + prompt_tokens / 1000 * 0.0015
+        cost = (completion_tokens + prompt_tokens) / 1000 * 0.0002
     return {"completion_tokens": completion_tokens, "prompt_tokens": prompt_tokens, "cost": cost}
\ No newline at end of file
diff --git a/prompts/crosswords.py b/src/tot/prompts/crosswords.py
similarity index 100%
rename from prompts/crosswords.py
rename to src/tot/prompts/crosswords.py
diff --git a/prompts/game24.py b/src/tot/prompts/game24.py
similarity index 100%
rename from prompts/game24.py
rename to src/tot/prompts/game24.py
diff --git a/prompts/text.py b/src/tot/prompts/text.py
similarity index 100%
rename from prompts/text.py
rename to src/tot/prompts/text.py
diff --git a/src/tot/tasks/__init__.py b/src/tot/tasks/__init__.py
new file mode 100644
index 0000000..11d1cb7
--- /dev/null
+++ b/src/tot/tasks/__init__.py
@@ -0,0 +1,12 @@
+def get_task(name):
+    if name == 'game24':
+        from tot.tasks.game24 import Game24Task
+        return Game24Task()
+    elif name == 'text':
+        from tot.tasks.text import TextTask
+        return TextTask()
+    elif name == 'crosswords':
+        from tot.tasks.crosswords import MiniCrosswordsTask
+        return MiniCrosswordsTask()
+    else:
+        raise NotImplementedError
\ No newline at end of file
diff --git a/tasks/base.py b/src/tot/tasks/base.py
similarity index 73%
rename from tasks/base.py
rename to src/tot/tasks/base.py
index f336145..7624d14 100644
--- a/tasks/base.py
+++ b/src/tot/tasks/base.py
@@ -1,4 +1,5 @@
-DATA_PATH = './data'
+import os
+DATA_PATH = os.path.join(os.path.dirname(__file__), '..', 'data')
 
 class Task:
     def __init__(self):
diff --git a/tasks/crosswords.py b/src/tot/tasks/crosswords.py
similarity index 98%
rename from tasks/crosswords.py
rename to src/tot/tasks/crosswords.py
index 85d2bf0..fb270d0 100644
--- a/tasks/crosswords.py
+++ b/src/tot/tasks/crosswords.py
@@ -1,13 +1,14 @@
 import re
-import json
 import os
-from tasks.base import Task, DATA_PATH
-from prompts.crosswords import * 
-from models import gpt
+import json
+from tot.tasks.base import Task, DATA_PATH
+from tot.prompts.crosswords import * 
+from tot.models import gpt
 
 class MiniCrosswordsEnv:
     def __init__(self, file='mini0505.json'):
-        self.file = f'data/crosswords/{file}'
+        self.file = os.path.join(DATA_PATH, 'crosswords', file)
+
         self.file = json.load(open(self.file))
         self.n = len(self.file)
         self.cache = {}
diff --git a/tasks/game24.py b/src/tot/tasks/game24.py
similarity index 97%
rename from tasks/game24.py
rename to src/tot/tasks/game24.py
index 64182e6..c58f090 100644
--- a/tasks/game24.py
+++ b/src/tot/tasks/game24.py
@@ -2,8 +2,8 @@ import re
 import os
 import sympy
 import pandas as pd
-from tasks.base import Task, DATA_PATH
-from prompts.game24 import * 
+from tot.tasks.base import Task, DATA_PATH
+from tot.prompts.game24 import * 
 
 
 def get_current_numbers(y: str) -> str:
diff --git a/tasks/text.py b/src/tot/tasks/text.py
similarity index 97%
rename from tasks/text.py
rename to src/tot/tasks/text.py
index 52bb417..9d62be8 100644
--- a/tasks/text.py
+++ b/src/tot/tasks/text.py
@@ -1,8 +1,8 @@
 import os
 import re
-from tasks.base import Task, DATA_PATH
-from prompts.text import *
-from models import gpt
+from tot.tasks.base import Task, DATA_PATH
+from tot.prompts.text import *
+from tot.models import gpt
 
 
 class TextTask(Task):
diff --git a/tasks/__init__.py b/tasks/__init__.py
deleted file mode 100644
index 4689ae3..0000000
--- a/tasks/__init__.py
+++ /dev/null
@@ -1,12 +0,0 @@
-def get_task(name, file=None):
-    if name == 'game24':
-        from .game24 import Game24Task
-        return Game24Task(file)
-    elif name == 'text':
-        from .text import TextTask
-        return TextTask(file)
-    elif name == 'crosswords':
-        from .crosswords import MiniCrosswordsTask
-        return MiniCrosswordsTask(file)
-    else:
-        raise NotImplementedError
\ No newline at end of file