Pulp Linear Programming

[quest]

Hello,
I am trying to code this program

Find y ∈R^m
minimising y·ve
subject to M'*y ≥ 1 and y ≥ 0

And I wrote this code, but I don't know how I can define matrix as a variable. Can you please show me how can I define matrix as a variable in Pulp

import pulp as p 
  
# Create a LP Minimization problem 
Lp_prob = p.LpProblem('Problem', p.LpMinimize)  
  
# Create problem Variables  
y = p.LpVariable("y", lowBound = 0)   # Create a variable y >= 0. Here y is the matrix
  
# Objective Function 
Lp_prob += y*ve #ve is the matrix
  
# Constraints: 
Lp_prob +=M.T*y >= 1  #M is the (64*64)matrix 
Lp_prob += y>=0
  
# Display the problem 
print(Lp_prob) 
  
status = Lp_prob.solve()   # Solver 
print(p.LpStatus[status])   # The solution status 
  
# Printing the final solution 
print(p.value(x), p.value(y), p.value(Lp_prob.objective)) 

And my second problem is that:

Lp_prob = p.LpProblem('Problem', p.LpMinimize)
AttributeError: 'float' object has no attribute 'LpProblem'

How can I solve this problem?

[Larz60+]

Your query will probably get answered at some point on this forum, but I think this question will be answered sooner by the authors of pulp. You can get their email links here: https://pypi.org/project/PuLP/
(left sidebar, subject: statistics)

[quest]

Thank you very much. I wrote one of the authors. Hope he can answer as soon as possible because it is a bit urgent