import numpy as np
import quimb.tensor as qtn
from qibo.models import Circuit as QiboCircuit


def from_qibo(circuit: QiboCircuit, is_mps: False, psi0=None, method='svd',
              cutoff=1e-6, cutoff_mode='abs'):
    nqubits = circuit.nqubits
    gate_opt = {}
    if (is_mps):
        tncirc = qtn.CircuitMPS(nqubits, psi0=psi0)
        gate_opt["method"] = method
        gate_opt["cutoff"] = cutoff
        gate_opt["cutoff_mode"] = cutoff_mode
    else:
        tncirc = qtn.Circuit(nqubits, psi0=psi0)

    for gate in circuit.queue:
        tncirc.apply_gate(
            gate.name,
            *gate.parameters,
            *gate.qubits,
            parametrize=False if is_mps else (len(gate.parameters) > 0),
            **gate_opt
        )

    return tncirc


def init_state_tn(nqubits, init_state_sv):
    dims = tuple(2 * np.ones(nqubits, dtype=int))

    return qtn.tensor_1d.MatrixProductState.from_dense(init_state_sv, dims)


def eval(qasm: str, init_state, backend="numpy"):
    """Evaluate QASM with Quimb

    backend (quimb): numpy, cupy, jax. Passed to ``opt_einsum``.

    """
    circuit = QiboCircuit.from_qasm(qasm)
    init_state_mps = init_state_tn(circuit.nqubits, init_state)
    circ_quimb = from_qibo(circuit, is_mps=True, psi0=init_state_mps)
    interim = circ_quimb.psi.full_simplify(seq="DRC")
    amplitudes = interim.to_dense(backend=backend).flatten()

    return amplitudes