dsatools - npm Package Compare versions

Comparing version 0.1.86 to 0.1.87

dsatools.egg-info/PKG-INFO

 Metadata-Version: 1.1
 Name: dsatools
-Version: 0.1.86
+Version: 0.1.87
 Summary:  The library with a most popular tools for Digital Signal Analysis (DSA)  
@@ -5,0 +5,0 @@ Home-page: https://github.com/MVRonkin/dsatools

dsatools/generator/_modulated_utilits.py

@@ -48,4 +48,4 @@ import numpy as _np
     '''
-    frequencies = __np.asarray(frequencies, dtype = float)
-    init_phases = __np.asarray(init_phases, dtype = float)
+    frequencies = _np.asarray(frequencies, dtype = float)
+    init_phases = _np.asarray(init_phases, dtype = float)
     
@@ -64,3 +64,3 @@ if length is None:
     
-    return 2*__np.pi*__np.cumsum(frequencies)*dt+init_phases
+    return 2*_np.pi*_np.cumsum(frequencies)*dt+init_phases
 
@@ -70,3 +70,3 @@ #-------------------------------------
     
-    array = __np.asarray(array, dtype = float)
+    array = _np.asarray(array, dtype = float)
     
@@ -79,3 +79,3 @@ if size is None:
     if array.size==1:
-        return __np.ones(size, dtype=float)*array 
+        return _np.ones(size, dtype=float)*array 
     else:
@@ -86,5 +86,5 @@ if array.size>=size:
         else:
-            last  = __np.ones(size-array.size, 
+            last  = _np.ones(size-array.size, 
                             dtype=float)*array[-1]
-            return __np.concatenate((array,last))
+            return _np.concatenate((array,last))
 
@@ -115,3 +115,3 @@ #-------------------------------
     length = int(length)
-    t = __np.arange(length)/fs
+    t = _np.arange(length)/fs
     return f0+delta_f*t/((length/fs))
@@ -143,5 +143,5 @@ #-------------------------------
     length = int(length)
-    t = __np.arange(length)/(2*fs)
+    t = _np.arange(length)/(2*fs)
     tm = length/fs/2
-    return __np.concatenate((f0+delta_f*t/tm, 
+    return _np.concatenate((f0+delta_f*t/tm, 
                            f0+delta_f-delta_f*t/tm))
@@ -174,5 +174,5 @@ #-------------------------------
     '''
-    t = __np.arange(length)/fs
-    freq = __np.power(t,degree)/((length/fs))    
-    return f0+delta_f*freq/__np.max(freq)
+    t = _np.arange(length)/fs
+    freq = _np.power(t,degree)/((length/fs))    
+    return f0+delta_f*freq/_np.max(freq)
 #-------------------------------
@@ -201,5 +201,5 @@ def sin_frequency(f0, delta_f, length, fs):
     '''
-    t = __np.arange(length)/fs
+    t = _np.arange(length)/fs
     tm = length/fs
-    return (f0+delta_f/2)+delta_f*__np.sin(2*__np.pi*t/tm)/2
+    return (f0+delta_f/2)+delta_f*_np.sin(2*_np.pi*t/tm)/2
 #-------------------------------
@@ -228,5 +228,5 @@ def sin_quart_frequency(f0, delta_f, length, fs):
     '''
-    t = __np.arange(length)/fs
+    t = _np.arange(length)/fs
     tm = length/fs
-    return (f0)+delta_f*__np.sin((2*__np.pi*t/tm)/4)
+    return (f0)+delta_f*_np.sin((2*_np.pi*t/tm)/4)
 
@@ -256,8 +256,8 @@ #-------------------------------
     '''
-    t = __np.arange(length)/fs
+    t = _np.arange(length)/fs
     tm = length/fs
-    return (f0)+delta_f*__np.sin((2*__np.pi*t/tm)/2)
+    return (f0)+delta_f*_np.sin((2*_np.pi*t/tm)/2)
 
 #-------------------------------
-def sin_phase_frequency(f0, delta_f, length, fs, phi0=0, phiN=__np.pi/4):
+def sin_phase_frequency(f0, delta_f, length, fs, phi0=0, phiN=_np.pi/4):
     '''
@@ -284,6 +284,6 @@ Arbitarry sinus frequency to time relation.
     '''
-    t = __np.arange(length)/fs
+    t = _np.arange(length)/fs
     tm = length/fs
-    divider = __np.pi/phiN
-    freqm = __np.sin(2*__np.pi*t/(tm*divider)+phi0)
+    divider = _np.pi/phiN
+    freqm = _np.sin(2*_np.pi*t/(tm*divider)+phi0)
     return (f0)+delta_f*(freqm-min(freqm))/(max(freqm)-min(freqm))
@@ -315,3 +315,3 @@
     '''
-    sig_beat = sig_ref*__np.conj(sig_delayed);
+    sig_beat = sig_ref*_np.conj(sig_delayed);
     if reduced_ratio is not None:
@@ -321,3 +321,3 @@
         
-        sp = __np.fft.fft(sig_beat)
+        sp = _np.fft.fft(sig_beat)
         
@@ -324,0 +324,0 @@ if hilbert is False:

PKG-INFO

 Metadata-Version: 1.1
 Name: dsatools
-Version: 0.1.86
+Version: 0.1.87
 Summary:  The library with a most popular tools for Digital Signal Analysis (DSA)  
@@ -5,0 +5,0 @@ Home-page: https://github.com/MVRonkin/dsatools

setup.py

@@ -10,3 +10,3 @@
     packages=find_packages(),
-    version="0.1.86",
+    version="0.1.87",
     description=""" The library with a most popular tools for Digital Signal Analysis (DSA)  """,
@@ -13,0 +13,0 @@ long_description=readme,

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