# -*- coding: utf-8 -*-
"""
Created on Wed Nov 27 13:12:35 2024

@author: atakan
"""

import numpy as np
import copy

class YourClass:
    def __init__(self, name, inputs, warning, logger, _in_def, _out_def, _fixed):
        self.name = name
        self.inputs = inputs
        self.warning = warning
        self.logger = logger
        self._in_def = _in_def
        self._out_def = _out_def
        self._fixed = _fixed
        self.output = {}
        self.all_data = {}
        self._q_dot = None
        self._heating = -1

    def _storage_name(self, fluid_names):
        # Implement this method based on your logic
        pass

    def _calculate_state_array(self, w_out, states):
        # Implement this method based on your logic
        pass

    def _check_temperature_consistency(self, d_tempall):
        # Implement this method based on your logic
        pass

    def calculate(self, in_states=None, out_states=None, run_param=None, **kwargs):
        self.warning.__dict__.update(value=0, message="All o.k.")
        verbose = kwargs.get("verbose", False)
        if verbose:
            self.logger.info(f"Calculating {self.name}")

        self._run_param = run_param

        if not in_states:
            in_states = self._in_def
            self.warning.__dict__.update(value=2, message="Default values used for I/O")
        if not out_states:
            out_states = self._out_def
            self.warning.__dict__.update(value=2, message="Default values used for I/O")

        fluid_names = list(self.inputs["act_fluids"].keys())
        stn = self._storage_name(fluid_names)
        self.output.update({"m_dot": {}, "state_in": {}, "state_out": {}})
        self.all_data = {}
        w_out = {}
        self._heating = -1

        match self._fixed:
            case 'q_dot':
                # Case 2: Q, h_w_a, and h_s_a are given
                Q = self._q_dot
                h_w_e = in_states["working_fluid"][2]
                h_w_a = out_states["working_fluid"][2]
                h_s_e = in_states[stn][2]
                h_s_a = out_states[stn][2]

                m_w = Q / (h_w_e - h_w_a)
                m_s = Q / (h_s_a - h_s_e)

                self.output['m_dot']["working_fluid"] = m_w
                self.output['m_dot'][stn] = m_s

            case 'm_dot_w':
                # Case 3: m_w, h_w_a, and h_s_a are given
                m_w = run_param["m_dot"]["working_fluid"]
                h_w_e = in_states["working_fluid"][2]
                h_w_a = out_states["working_fluid"][2]
                h_s_e = in_states[stn][2]
                h_s_a = out_states[stn][2]

                Q = m_w * (h_w_e - h_w_a)
                m_s = Q / (h_s_a - h_s_e)

                self.output['m_dot']["working_fluid"] = m_w
                self.output['m_dot'][stn] = m_s
                self._q_dot = Q

            case 'q_m_dot_w':
                # Case 1: Q, m_w, and h_s_a are given
                Q = self._q_dot
                m_w = run_param["m_dot"]["working_fluid"]
                h_w_e = in_states["working_fluid"][2]
                h_s_e = in_states[stn][2]
                h_s_a = out_states[stn][2]

                h_w_a = h_w_e - Q / m_w
                m_s = Q / (h_s_a - h_s_e)

                self.output['m_dot']["working_fluid"] = m_w
                self.output['m_dot'][stn] = m_s
                out_states["working_fluid"][2] = h_w_a

            case _:
                raise NotImplementedError(f"StaticHeatExchanger: {self.inputs['parameters']['fixed']} not implemented!")

        for fln in ["working_fluid", stn]:
            w_in = copy.copy(self.inputs['act_fluids'][fln])
            self.output['state_in'][fln] = w_in.set_state([in_states[fln][1], in_states[fln][2]], "PH")
            self.output['state_out'][fln] = w_in.set_state([out_states[fln][1], out_states[fln][2]], "PH")
            w_out[fln] = copy.copy(w_in)
            # all states set now

        for fln in ["working_fluid", stn]:
            if fln == "working_fluid":  # if mdot for working fluid is fixed
                self._q_dot = (self.output['state_in'][fln][2] - self.output['state_out'][fln][2]) * self.output['m_dot'][fln]
                self.output['m_dot'][stn] = np.abs(self._q_dot / (self.output['state_in'][stn][2] - self.output['state_out'][stn][2]))
            elif self._fixed == "q_dot":  # q_dot is fixed
                if 'm_dot' in run_param:
                    if fln in run_param['m_dot']:
                        self.output['m_dot'][fln] = run_param['m_dot'][fln]
                    else:
                        self.output['m_dot'][fln] = np.abs(self._q_dot / (self.output['state_in'][fln][2] - self.output['state_out'][fln][2]))
                else:
                    raise NotImplementedError(f"HeatExch, this fixed value is not implemented {self._fixed}")

            if fln == "working_fluid":
                temp_w_in = self.output['state_in'][fln][0]
                self.all_data[fln] = self._calculate_state_array(w_out[fln], [self.output['state_in'][fln], self.output['state_out'][fln]])
            else:
                temp_s_in = self.output['state_in'][fln][0]
                self.all_data[fln] = self._calculate_state_array(w_out[fln], [self.output['state_out'][fln], self.output['state_in'][fln]])

            if temp_w_in > temp_s_in:
                self._heating = 1

        d_tempall = self.all_data["working_fluid"][:, 0] - self.all_data[stn][:, 0]
        self.dt_mean, self.dt_min, self.dt_max = d_tempall.mean(), np.abs(d_tempall).min(), np.abs(d_tempall).max()

        self._check_temperature_consistency(d_tempall)

        self.output.update({"dt_mean": self.dt_mean, "dt_min": self.dt_min, "dt_max": self.dt_max, "q_dot": -self._q_dot})
"""
# Example usage:
# Initialize your class with appropriate parameters
# your_instance = YourClass(name, inputs, warning, logger, _in_def, _out_def, _fixed)
# your_instance.calculate(in_states, out_states, run_param)
```

### Explanation:
1. **Case 1 (`q_m_dot_w`)**: If `Q`, `m_w`, and `h_s_a` are given, we calculate `h_w_a` and `m_s`.
2. **Case 2 (`q_dot`)**: If `Q`, `h_w_a`, and `h_s_a` are given, we calculate `m_w` and `m_s`.
3. **Case 3 (`m_dot_w`)**: If `m_w`, `h_w_a`, and `h_s_a` are given, we calculate `Q` and `m_s`.

The `match` statement is used to handle the different cases based on the value of `self._fixed`. The calculations are performed accordingly, and the results are stored in the `self.output` dictionary.

You can adjust the example usage to fit your specific input values and test the function accordingly.

"""