rezamarzban

from transformers import GPTNeoForCausalLM, GPT2Tokenizer

# Initialize tokenizer and model
tokenizer = GPT2Tokenizer.from_pretrained("EleutherAI/gpt-neo-2.7B")
model = GPTNeoForCausalLM.from_pretrained("EleutherAI/gpt-neo-2.7B")

# Example usage
text = "Replace with your input text here."

# Tokenize input text

rezamarzban

Switzerland, 
Japan, 
South Korea, 
Monaco, 
Finland, 
Denmark, 
Austria, 
Andorra, 
Liechtenstein, 
San Marino, 

rezamarzban

rezamarzban

import numpy as np
from scipy.integrate import quad
import sympy as sp

# Define the symbolic variable
x = sp.Symbol('x')

# Define the integrand as a sympy expression
integrand = sp.exp(-1j * x) / x

rezamarzban

program wait_formula
    implicit none
    
    real :: beta, a, h
    real, dimension(:), allocatable :: rho
    complex :: norm_deltaZ
    complex :: integral1, integral2, integral3
    real :: rho_start, rho_end, rho_step
    real :: rho_current
    integer :: i

rezamarzban

from sympy import *
from sympy.printing.mathml import mathml
init_printing(use_unicode=True) # allow LaTeX printing

# independent variables
x, y, z = symbols('x y z', real = True)

# parameters
nu, rho = symbols('nu rho', real = True, constant = True, positive = True)

rezamarzban

import math
import matplotlib

matplotlib.use("agg")
import matplotlib.pyplot as plt
import numpy as np

import meep as mp

rezamarzban

rezamarzban

git config --global user.email 'rezamarzban1987@gmail.com'
git config --global user.name 'rezamarzban'

git clone https://ACCESS_TOKEN@github.com/rezamarzban/electromagnetic

#After making changes
git add .
git commit -m 'Updated by Reza Marzban'
git push

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