From 2cdf0c4b9865f025e52938fb9b772cc79319db09 Mon Sep 17 00:00:00 2001
From: Trygve Laugstøl <trygvis@inamo.no>
Date: Tue, 14 May 2019 22:19:15 +0200
Subject: ee: Moving old ltspice code to its own file.

---
 src/ee/ltspice.py | 138 ++++++++++++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 138 insertions(+)
 create mode 100644 src/ee/ltspice.py

(limited to 'src/ee/ltspice.py')

diff --git a/src/ee/ltspice.py b/src/ee/ltspice.py
new file mode 100644
index 0000000..3e47bf0
--- /dev/null
+++ b/src/ee/ltspice.py
@@ -0,0 +1,138 @@
+import numpy as np
+
+class LtSpiceRaw(object):
+    def __init__(self, variables, values_first, values_rest):
+        self.variables = variables
+        self.values_first = values_first
+        self.values_rest = values_rest
+
+    def get_values(self, variable):
+        return self.values[variable.idx]
+
+    def get_variable(self, idx=None, expression=None):
+        if idx is not None:
+            return self.variables[idx]
+        if expression is not None:
+            v = [v for v in self.variables if v.expression == expression]
+            if len(v) != 1:
+                raise Exception('Unknown variable: ' + str(v))
+            return v[0]
+        raise Exception('idx or expression must be given')
+
+    def to_pandas(self):
+        import pandas
+        data = []
+        for (i, v) in enumerate(self.values_first):
+            data.append(pandas.Series(v, dtype='float64'))
+
+        data = {}
+        for (i, v) in enumerate(self.values_first):
+            data[self.variables[i].expression] = v
+
+        return pandas.DataFrame(data=data)
+
+
+class LtSpiceVariable(object):
+    def __init__(self, idx, expression, kind):
+        self.idx = idx
+        self.expression = expression
+        self.kind = kind
+
+
+class LtSpiceReader(object):
+    def __init__(self, f):
+        self.f = f
+        self.mode = 'header'
+        self.headers = {}
+        self.variables = []
+        self.values = []
+
+    def read_header(self, line):
+        sep = line.find(':')
+        key = line[0:sep]
+        value = line[sep + 1:].strip()
+
+        #    print("key='{}', value='{}'".format(key, str(value)))
+
+        if key == 'Binary':
+            self.set_binary_mode()
+        elif key == 'Variables':
+            self.no_variables = int(self.headers['No. Variables'])
+            self.mode = 'variables'
+        else:
+            self.headers[key] = value
+
+    def read_variable(self, line):
+        parts = line.split('\t')
+        idx = int(parts[1])
+        expression = parts[2]
+        kind = parts[3]
+        self.variables.append(LtSpiceVariable(idx, expression, kind))
+
+        if len(self.variables) == self.no_variables:
+            self.mode = 'header'
+
+    def set_binary_mode(self):
+        self.mode = 'binary'
+
+    def read_binary(self):
+        pos = self.f.tell()
+        no_points = int(self.headers['No. Points'])
+        no_variables = int(self.headers['No. Variables'])
+
+        #    print("no_points={}, no_variables={}".format(no_points, no_variables))
+
+        if True:
+            self.values = np.zeros((no_variables, no_points), dtype='float32')
+
+            for p in range(no_points):
+                self.values[0][p] = np.fromfile(self.f, count=1, dtype='float64')
+                row = np.fromfile(self.f, count=no_variables - 1, dtype='float32');
+                for v in range(0, len(row)):
+                    self.values[v + 1][p] = row[v]
+        else:
+            self.values = np.zeros((no_points, no_variables), dtype='float64')
+
+            for p in range(no_points):
+                self.values[p][0] = np.fromfile(self.f, count=1, dtype='float64')
+                row = np.fromfile(self.f, count=no_variables - 1, dtype='float32');
+                for v in range(0, len(row)):
+                    self.values[p][v + 1] = row[v]
+
+    def read(self):
+        while True:
+            line = self.f.readline();
+
+            if len(line) == 0:
+                break
+
+            self.f.read(1)  # The data is utf16 encoded so read the extra null byte
+
+            # if this wasn't the last line .readline() includes the newline
+            if line[-1] == '\n' or line[-1] == 0x0a:
+                line = line[:-1]
+
+            # print("len(line)={}, line={}".format(len(line), str(line)))
+            line = line.decode(encoding="utf-16")
+
+            if self.mode == 'header':
+                self.read_header(line)
+            elif self.mode == 'variables':
+                self.read_variable(line)
+
+            # The binary data can't be read with readline()
+            if self.mode == 'binary':
+                #        self.f.read()
+                self.read_binary()
+                break
+
+        if len(self.variables) == 0:
+            raise Exception("Something didn't quite work when parsing file, no variables found")
+
+        return LtSpiceRaw(self.variables, self.values, [])
+
+
+def read_ltspice_raw(filename):
+    with open(filename, mode="rb") as f:
+        r = LtSpiceReader(f)
+        return r.read()
-- 
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