Move python stuff to folder

1 files changed, 0 insertions, 101 deletions

diff --git a/dpd/src/Model_Poly.py b/dpd/src/Model_Poly.py
deleted file mode 100644
index cdfd319..0000000
--- a/dpd/src/Model_Poly.py
+++ /dev/null
@@ -1,101 +0,0 @@
-# -*- coding: utf-8 -*-
-#
-# DPD Computation Engine, model implementation using polynomial
-#
-# http://www.opendigitalradio.org
-# Licence: The MIT License, see notice at the end of this file
-
-import os
-import logging
-import numpy as np
-
-import src.Model_AM as Model_AM
-import src.Model_PM as Model_PM
-
-
-def assert_np_float32(x):
-    assert isinstance(x, np.ndarray)
-    assert x.dtype == np.float32
-    assert x.flags.contiguous
-
-
-def _check_input_get_next_coefs(tx_abs, rx_abs, phase_diff):
-    assert_np_float32(tx_abs)
-    assert_np_float32(rx_abs)
-    assert_np_float32(phase_diff)
-
-    assert tx_abs.shape == rx_abs.shape, \
-        "tx_abs.shape {}, rx_abs.shape {}".format(
-            tx_abs.shape, rx_abs.shape)
-    assert tx_abs.shape == phase_diff.shape, \
-        "tx_abs.shape {}, phase_diff.shape {}".format(
-            tx_abs.shape, phase_diff.shape)
-
-
-class Poly:
-    """Calculates new coefficients using the measurement and the previous
-    coefficients"""
-
-    def __init__(self,
-                 c,
-                 learning_rate_am=1.0,
-                 learning_rate_pm=1.0):
-        self.c = c
-        self.plot = c.MDL_plot
-
-        self.learning_rate_am = learning_rate_am
-        self.learning_rate_pm = learning_rate_pm
-
-        self.reset_coefs()
-
-        self.model_am = Model_AM.Model_AM(c, plot=self.plot)
-        self.model_pm = Model_PM.Model_PM(c, plot=self.plot)
-
-    def reset_coefs(self):
-        self.coefs_am = np.zeros(5, dtype=np.float32)
-        self.coefs_am[0] = 1
-        self.coefs_pm = np.zeros(5, dtype=np.float32)
-
-    def train(self, tx_abs, rx_abs, phase_diff, lr=None):
-        """
-        :type tx_abs: np.ndarray
-        :type rx_abs: np.ndarray
-        :type phase_diff: np.ndarray
-        :type lr: float
-        """
-        _check_input_get_next_coefs(tx_abs, rx_abs, phase_diff)
-
-        if not lr is None:
-            self.model_am.learning_rate_am = lr
-            self.model_pm.learning_rate_pm = lr
-
-        coefs_am_new = self.model_am.get_next_coefs(tx_abs, rx_abs, self.coefs_am)
-        coefs_pm_new = self.model_pm.get_next_coefs(tx_abs, phase_diff, self.coefs_pm)
-
-        self.coefs_am = self.coefs_am + (coefs_am_new - self.coefs_am) * self.learning_rate_am
-        self.coefs_pm = self.coefs_pm + (coefs_pm_new - self.coefs_pm) * self.learning_rate_pm
-
-    def get_dpd_data(self):
-        return "poly", self.coefs_am, self.coefs_pm
-
-# The MIT License (MIT)
-#
-# Copyright (c) 2017 Andreas Steger
-#
-# Permission is hereby granted, free of charge, to any person obtaining a copy
-# of this software and associated documentation files (the "Software"), to deal
-# in the Software without restriction, including without limitation the rights
-# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
-# copies of the Software, and to permit persons to whom the Software is
-# furnished to do so, subject to the following conditions:
-#
-# The above copyright notice and this permission notice shall be included in all
-# copies or substantial portions of the Software.
-#
-# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
-# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
-# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
-# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
-# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
-# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
-# SOFTWARE.