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We have to change the following files:

1. Navigator/Subtopic_Query_Expansion.py
2. Navigator/get_paper_embeddings.py
3. Navigator/google_scholar_api.py
4. Navigator/outline_creation.py
5. Navigator/run_full_subtopic_expansion_process.py
6. Navigator/search_api.py
7. Navigator/subtopic_aspect_generation.py

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import numpy as np
from scipy.misc import derivative

def path(x):
    return a * x**2 + b * x + c

a = float(input())
b = float(input())
c = float(input())
d = float(input())

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from sklearn import svm

# Create an SVM classifier
classifier = svm.SVC()

## X Being the Energy 
### Y Being the Pressure (Particle Beam Pressure)

classifier.fit(X, Y)

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import pandas as pd
import matplotlib.pyplot as plt

# Read the CSV file
df = pd.read_csv('your_file.csv')

# Extract the columns
X = df.iloc[:, 0]  # Column 1
Y = df.iloc[:, 1]  # Column 2

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total_params = sum(p.numel() for p in model.parameters())
print(f"Total parameters in the model: {total_params}")

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from torchscale.architecture.config import EncoderConfig
from torchscale.architecture.encoder import Encoder

config = EncoderConfig(
    vocab_size=64000,
    hidden_size=1000,
    num_layers=10       
)

model = Encoder(config)

sleepingcat4

pip install torchscale