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# Directory Structure

```
├── .DS_Store
├── AppleGastronome
│   ├── .DS_Store
│   ├── Apple_Gastronome_AG7_v20240513_colab_annoation_2024_05_16_1422_hk_Mixtral_GPT-3.5-Turbo_iter1.xlsx
│   ├── Apple_Gastronome_AG7_v20240513_colab_annoation_2024_05_16_1422_hk_Mixtral_GPT-3.5-Turbo_iter2.xlsx
│   ├── Apple_Gastronome_AG7_v20240513_colab_annoation_2024_05_16_1422_hk_Mixtral_GPT-3.5-Turbo_iter3.xlsx
│   ├── Apple_Gastronome_AG7_v20240513.ipynb
│   ├── Apple_Gastronome_AG7_v20240513.xlsx
│   └── Formal_exp_1 AG7_2024_05_16_1422 GPT-3.5-Turbo release.ipynb
├── assets
│   ├── coat_map.pdf
│   └── paper.pdf
├── coat_real_world_case
│   ├── brain_tumor.png
│   └── news_n_stock.png
├── lingam_coat_result
│   ├── lingam coat gpt3-5.png
│   ├── lingam coat gpt4.png
│   ├── lingam coat llama-2-70b.png
│   ├── lingam coat mistral-med.png
│   └── lingam_coat_table.xlsx
├── Neuropathic
│   ├── Formal_exp_1_Neuro_RSI symptom_only release.ipynb
│   ├── id_name.txt
│   ├── neuro_addition_1000_0126.csv
│   ├── neuro_R_shoulder_impingement.xlsx
│   ├── Neuropathic_Pain_Diagnosis_v20240119.ipynb
│   └── SimulatedData_SampleSize100.csv
├── openai_utils.py
├── README.md
└── utils.py
```

# Files

--------------------------------------------------------------------------------
/README.md:
--------------------------------------------------------------------------------

```markdown
<h1 align='center'>
Discovery of the Hidden World with Large Language Models
</h1>

<p align='center'>
<a href="https://arxiv.org/abs/2402.03941"><img src="https://img.shields.io/badge/arXiv-2402.03941-b31b1b.svg" alt="Paper"></a> 
<a href="https://neurips.cc/"><img src="https://img.shields.io/badge/Pub-NeurIPS'24-blue" alt="Conf"></a> 
<a href="https://causalcoat.github.io/"><img src="https://img.shields.io/badge/website-CausalCOAT-D76364" alt="Slides"></a> 
</p>


[NeurIPS 2024] Discovery of the Hidden World with Large Language Models

This repository contains the source codes for reproducing the results of NeurIPS'24 paper: [**Discovery of the Hidden World with Large Language Models**]().

**Author List**: Chenxi Liu*, Yongqiang Chen*, Tongliang Liu, Mingming Gong, James Cheng, Bo Han, Kun Zhang

(* Equal Contribution)

## Prepare to Use API

### Interact with OpenAI

1. Go through [the OpenAI Quickstart Tutorial](https://platform.openai.com/docs/quickstart?context=python)
2. In this project, we `LLM_openai()` to contorl the interaction with OpenAI
    ```python
    import sys
    sys.path.insert(0, '/project/root/path') # set project root path

    from utils import Logger
    from openai_utils import LLM_openai

    # check the conversation log at 'logs/{exp_name}'
    logger = Logger(
        root = '/project/root/path', 
        exp_name = 'set_exp_name'
    )

    llm = LLM_openai(logger)

    response = llm.chat(
        model="gpt-4-1106-preview",
        content= "Hello GPT4!",
        system_instruct = "You are a helpful assistant."
    )
    ``` 

### Interact with Poe

1. Go through [the Poe FastAPI Tutorial](https://creator.poe.com/docs/accessing-other-bots-on-poe)
2. In this project, we `chat()` to contorl the interaction with Poe
    ```python
    import fastapi_poe as fp
    import asyncio

    async def chat(content, bot_name="GPT-3.5-Turbo" ):
        poe_api_key = "your api key" # set your api key
        message = fp.ProtocolMessage(role="user", content=content)
        responce = ""
        async for partial in fp.get_bot_response(messages=[message], bot_name=bot_name, api_key=poe_api_key): 
            responce = responce + partial.text

        return responce

    response = await chat("Hello world!", bot_name="GPT-3.5-Turbo" )
    ``` 


## The AppleGastronome Benchmark

### Files

- **Apple_Gastronome_AG7_v20240513.ipynb** This is the notebook to generate the AppleGastronome Benchmark dataset. "AG7" means there are 7 variables considered in the data-generating process.
- **Apple_Gastronome_AG7_v20240513.xlsx** This is the generated AppleGastronome Benchmark dataset. It consists of 8 columns: 7 variables plus one column for the review texts.
- **Formal_exp_1 AG7_2024_05_16_1422 GPT-3.5-Turbo release.ipynb** This is the notebook to test COAT method with different Foundation Models. 
- **Other .xlsx files** Annotations generated by [annotation-2024_05_16_1422_hk_mistralai_GPT-3.5-Turbo release.ipynb](https://colab.research.google.com/drive/1GHUIk631UzD-lI49H_0eTJc9YKJ2lwxe?usp=sharing)

Conversation Logs:
- **META**: https://poe.com/s/Suv0XqninMg9nQTGFEiy
- **COAT+CoT**: https://poe.com/s/x1tha9wV6opPydhym2sQ
- **DATA**: First round of COAT.
- **COAT**: https://poe.com/s/tYvcQuIyRB54wVpyUZyx


##  The Neuropathic Benchmark

Source of the causal graph: [here](https://observablehq.com/@turuibo/the-complete-causal-graph-of-neuropathic-pain-diagnosis)

### Files

- **SimulatedData_SampleSize100.csv** and **neuro_addition_1000_0126.csv** Generated from [Neuropathic Pain Diagnosis Simulator](https://github.com/TURuibo/Neuropathic-Pain-Diagnosis-Simulator). Simulation of the real-life diagnosis with three levels of variables, including the symptom-level, radiculopathy-level and the pathophysiology-level.
- **id_name.txt** From [Neuropathic Pain Diagnosis Simulator](https://github.com/TURuibo/Neuropathic-Pain-Diagnosis-Simulator). It stores variable names.
- **Neuropathic_Pain_Diagnosis_v20240119.ipynb** This is the notebook to generate clinical notes from tabular data *SimulatedData_SampleSize100.csv*. *Only symptom-level vairables are used.*
- **neuro_R_shoulder_impingement.xlsx** This is the generated clinical notes.
- **Formal_exp_1_Neuro_RSI symptom_only release.ipynb** This is the notebook to test COAT method with different Foundation Models. 



```

--------------------------------------------------------------------------------
/utils.py:
--------------------------------------------------------------------------------

```python
import os

class Logger():
    def __init__(self, root, exp_name):
        # Set path
        self.log_root_path = os.path.join(root, f'logs/{exp_name}')
        self.category = ['conversation', 'factors', 'causal_graph']

        # init log files
        if not os.path.exists(self.log_root_path):
            os.makedirs(self.log_root_path)

    def straight_write(self, cate, content, mode='a'):
        assert cate in self.category
        with open(os.path.join(self.log_root_path, cate+'.log'), mode) as file:
            file.write('\n'+content+'\n')

def get_value_from_responce(responce):
    if responce is None:
        return 'None'
    if 'he value is:' not in responce:
        return '?'
    last_part = responce.split('The value is:')[-1]
    if '-1' in last_part:
        return -1
    elif '0' in last_part:
        return 0
    elif '1' in last_part:
        return 1

```

--------------------------------------------------------------------------------
/openai_utils.py:
--------------------------------------------------------------------------------

```python
from openai import OpenAI
import os
import time
class LLM_openai():
    def __init__(self, logger):
        self.client = OpenAI()
        self.logger = logger
        self.thread_id = None
    
    def log(self, content):
        self.logger.straight_write('conversation', content, mode='a')

    def load_assistant(self, asst_id):
        self.asst_id = asst_id
        self.assistant = self.client.beta.assistants.retrieve(asst_id)
        self.log(f'>> Loaded OpenAI assistant {self.asst_id}')

    def delete_thread(self):
        if self.thread_id is None:
            return
        response = self.client.beta.threads.delete(self.thread_id)
        assert response.deleted
        self.thread_id = None

    def chat(self, content, system_instruct = None, model="gpt-4-1106-preview", **kwargs):
        ''' 
        Output:
            - run_result
            - responce
            - files
        '''
        # init
        self.delete_thread()
        if system_instruct is None:
            system_instruct = 'You are an excellently helpful AI assistant for analysis and abstraction on data.'

        # chat
        completions = self.client.chat.completions.create(
            model=model,
            messages=[
                {"role": "system", "content": system_instruct},
                {"role": "user", "content": content}
            ],
            **kwargs
        )
        print(completions.id)
        self.log( ('-' * 5) + f'{completions.id}' + ('-' * 10))
        self.log('User: \n' + content)

        
        # get responce
        responce = completions.choices[0].message.content
        self.log('ChatGPT: \n' + responce)
        
        return responce
    
    def chat_assistant(self, content, args, file_ids = []):
        ''' 
        Output:
            - run_result
            - responce
            - files
        '''
        # init
        self.delete_thread()
        sleep_gap = args['sleep gap']
        max_wait = args['max wait']

        # new thread
        thread = self.client.beta.threads.create(
            messages=[
                {
                "role": "user",
                "content": content,
                "file_ids": file_ids
                }
            ]
        )
        print(thread.id)
        self.thread_id = thread.id
        self.log( ('-' * 5) + f'{self.thread_id}' + ('-' * 10))
        self.log('User: \n' + content)

        # run
        run_result = None
        run = self.client.beta.threads.runs.create(
            thread_id=thread.id,
            assistant_id=self.assistant.id
            )
        print(run.id)
        for i in range(max_wait//sleep_gap+1):
            run = self.client.beta.threads.runs.retrieve(
                thread_id=thread.id,
                run_id=run.id
            )
            print(i * sleep_gap, run.status)
            if not (run.status in ['in_progress', 'queued']):
                print(run.status)
                run_result = run.status # == 'completed'
                break
            if i >= max_wait//sleep_gap:
                run = self.client.beta.threads.runs.cancel(
                    thread_id=thread.id,
                    run_id=run.id
                    )
                run_result = 'time out'
                break
            time.sleep(sleep_gap)

        if run_result != 'completed':
            return run_result, None, None
        
        # get responce
        messages = self.client.beta.threads.messages.list(
            thread_id=thread.id
            )
        num_responce = len(messages.data)
        responces = []
        files = []
        for i in range(num_responce-2, -1, -1):
            this_responce = messages.data[i].content[0].text.value 
            responces.append(this_responce)
            for annotation in messages.data[i].content[0].text.annotations:
                if hasattr(annotation, 'file_path'):
                    this_file_id = annotation.file_path.file_id
                    this_file_content = self.client.files.content(this_file_id).read().decode("utf-8")
                    files.append(this_file_content)
        
        self.log('ChatGPT: \n' + '\n'.join(responces))
        if len(files) > 0:
            self.log('\n'.join(files))
        
        return run_result, responces, files



```

--------------------------------------------------------------------------------
/Neuropathic/id_name.txt:
--------------------------------------------------------------------------------

```
0: DLI C1-C2 
1: DLI C2-C3 
2: DLI C3-C4 
3: DLI C4-C5 
4: DLI C5-C6 
5: DLI C6-C7 
6: DLI C7-C8 
7: DLI C8-T1 
8: DLI L1-L2 
9: DLI L2-L3 
10: DLI L3-L4 
11: DLI L4-L5 
12: DLI L5-S1 
13: DLI S1-S2 
14: DLI T1-T2 
15: DLI T10-T11 
16: DLI T11-T12 
17: DLI T12-L1 
18: DLI T2-T3 
19: DLI T3-T4 
20: DLI T4-T5 
21: DLI T5-T6 
22: DLI T6-T7 
23: DLI T7-T8 
24: DLI T8-T9 
25: DLI T9-T10 
26: Kraniocervikal ledskada 
27: L C2 Radiculopathy 
28: R C2 Radiculopathy 
29: L C3 Radiculopathy 
30: R C3 Radiculopathy 
31: L C4 Radiculopathy 
32: R C4 Radiculopathy 
33: L C5 Radiculopathy 
34: R C5 Radiculopathy 
35: L C6 Radiculopathy 
36: R C6 Radiculopathy 
37: L C7 Radiculopathy 
38: R C7 Radiculopathy 
39: L C8 Radiculopathy 
40: R C8 Radiculopathy 
41: L T1 Radiculopathy 
42: R T1 Radiculopathy 
43: L T2 Radiculopathy 
44: R T2 Radiculopathy 
45: L T3 Radiculopathy 
46: R T3 Radiculopathy 
47: L T4 Radiculopathy 
48: R T4 Radiculopathy 
49: L T5 Radiculopathy 
50: R T5 Radiculopathy 
51: L T6 Radiculopathy 
52: R T6 Radiculopathy 
53: L T7 Radiculopathy 
54: R T7 Radiculopathy 
55: L T8 Radiculopathy 
56: R T8 Radiculopathy 
57: L T9 Radiculopathy 
58: R T9 Radiculopathy 
59: L T10 Radiculopathy 
60: R T10 Radiculopathy 
61: L T11 Radiculopathy 
62: R T11 Radiculopathy 
63: L T12 Radiculopathy 
64: R T12 Radiculopathy 
65: L L1 Radiculopathy 
66: R L1 Radiculopathy 
67: L L2 Radiculopathy 
68: R L2 Radiculopathy 
69: L L3 Radiculopathy 
70: R L3 Radiculopathy 
71: L L4 Radiculopathy 
72: R L4 Radiculopathy 
73: L L5 Radiculopathy 
74: R L5 Radiculopathy 
75: L S1 Radiculopathy 
76: R S1 Radiculopathy 
77: L S2 Radiculopathy 
78: R S2 Radiculopathy 
79: Ibs 
80: L neck problems 
81: Neck pain 
82: R neck 
83: L tinnitus 
84: L eye problems 
85: L ear problems 
86: R tinnitus 
87: R eye problems 
88: R ear problems 
89: Headache 
90: L jaw problems 
91: L forehead headache 
92: Mouth 
93: Forehead headache 
94: R headache 
95: R pta 
96: Pharyngeal discomfort 
97: R jaw trouble 
98: Back headache 
99: R back headache pain 
100: L collarbone pain 
101: R collarbone problems 
102: Central chest pain 
103: L central chest pain 
104: L central chest disorders 
105: R front axle problems 
106: L shoulder impingement 
107: R shoulder impingement 
108: L shoulder problems 
109: L shoulder trouble 
110: R shoulder problems 
111: R shoulder trouble 
112: L upper arm discomfort 
113: L upper elbow pain 
114: Intracapular problems 
115: L interscapular complaints 
116: R intracapular trouble 
117: L lateral elbow pain 
118: L lateral arm discomfort 
119: R lateral elbow pain 
120: L elbow problems 
121: R elbow trouble 
122: L arm 
123: L thumbs up 
124: R thumbs up 
125: L wrist problems 
126: R wrist problems 
127: L lower arm disorders 
128: R lower arm disorders 
129: L hand problems 
130: R hand problems 
131: L bend of arm problems 
132: R armband 
133: R bend of arm discomfort 
134: L medial elbow problems 
135: R medial elbow problems 
136: L finger trouble 
137: R finger trouble 
138: L small finger trouble 
139: R little finger trouble 
140: L groin trouble 
141: L medial groin disorders 
142: L lateral groin discomfort 
143: Central groin disorders 
144: R lateral groin discomfort 
145: R groin trouble 
146: L adductor tendon 
147: R adductor tendonitis  
148: L hip disorders 
149: L backache 
150: Backache 
151: L lumbago 
152: Lumbago 
153: R lumbago 
154: L front thigh pain 
155: R front thigh pain 
156: R thigh problems 
157: L leg problems 
158: L thigh pain 
159: R leg problems 
160: R medial vadbesvär 
161: L pta 
162: L hip joint 
163: R hip trouble 
164: R hip arthritis 
165: L medial knee joint disorder 
166: L front knee pain 
167: R medial knee joint disorder 
168: R front knee pain 
169: L shin 
170: R shin 
171: L llower leg problems 
172: L knee trouble 
173: R knee trouble 
174: L tåledbesvär 
175: L big toe problems 
176: R big toe problems 
177: L foot pain 
178: L ankle trouble 
179: R ankle trouble 
180: L footstool trouble 
181: R arch 
182: R morton trouble 
183: R fainting 
184: L ischias 
185: R ischias 
186: L ham 
187: L obesity 
188: R ham 
189: L toe problems 
190: R foot pain 
191: R tear problems 
192: R obesity 
193: R dorsal knee joint disorder 
194: L dorsal knee joint disorder 
195: L lateral knee pain 
196: R lateral knee pain 
197: L small toe trouble 
198: L lateral foot disorders 
199: R lateral foot disorders 
200: R heel problems 
201: Calcaneal pain 
202: L heel  problems 
203: Coccydyni 
204: L rear thigh pain 
205: R rear thigh pain 
206: L achilles problems 
207: L achilles tendon 
208: L achillodyni 
209: R achilles problems 
210: R achilles tendency 
211: R achillodyni 
212: Breast backache 
213: Chest discomfort 
214: L breast problems 
215: R breast problems 
216: Toracal dysfunction 
217: Upper abdominal discomfort 
218: Lateral abdominal discomfort 
219: Abdominal discomfort 
220: L lower abdominal discomfort 
221: Lower abdominal discomfort 

```

--------------------------------------------------------------------------------
/Neuropathic/SimulatedData_SampleSize100.csv:
--------------------------------------------------------------------------------

```
,0,1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17,18,19,20,21,22,23,24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76,77,78,79,80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95,96,97,98,99,100,101,102,103,104,105,106,107,108,109,110,111,112,113,114,115,116,117,118,119,120,121,122,123,124,125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141,142,143,144,145,146,147,148,149,150,151,152,153,154,155,156,157,158,159,160,161,162,163,164,165,166,167,168,169,170,171,172,173,174,175,176,177,178,179,180,181,182,183,184,185,186,187,188,189,190,191,192,193,194,195,196,197,198,199,200,201,202,203,204,205,206,207,208,209,210,211,212,213,214,215,216,217,218,219,220,221
0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
1,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
2,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0,1,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
3,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
4,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0
5,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
6,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,1,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0
7,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0
8,0,0,0,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0
9,0,0,0,0,1,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0
10,0,1,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
11,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
12,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
13,0,0,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
14,0,0,1,0,0,1,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,1,0,0,0,0,0,0,0,1,0,0,1,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
15,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
16,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
17,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
18,0,0,1,0,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,1,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
19,0,0,1,1,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,1,1,1,1,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
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