Package ca.nengo.math.impl

Examples of ca.nengo.math.impl.GaussianPDF.sample()

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   */
  public void testSample() {
    int n = 1000;
   
    GaussianPDF pdf = new GaussianPDF(0f, 1f);
    assertEquals(1, pdf.sample().length);
   
    int c = 0;
    for (int i = 0; i < n; i++) {
      float sample = pdf.sample()[0];
      if (sample > -1f && sample < 1f) c++;
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    GaussianPDF pdf = new GaussianPDF(0f, 1f);
    assertEquals(1, pdf.sample().length);
   
    int c = 0;
    for (int i = 0; i < n; i++) {
      float sample = pdf.sample()[0];
      if (sample > -1f && sample < 1f) c++;
    }
    ourLogger.info("GaussianPDFTest c: " + c);
    assertTrue(c > 620 && c < 740); //should be about 682 but will vary randomly
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    }
    ourLogger.info("GaussianPDFTest c: " + c);
    assertTrue(c > 620 && c < 740); //should be about 682 but will vary randomly

    pdf = new GaussianPDF(-10f, 4f);
    assertEquals(1, pdf.sample().length);
   
    c = 0;
    for (int i = 0; i < n; i++) {
      float sample = pdf.sample()[0];
      if (sample > -12f && sample < -8f) c++;
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    pdf = new GaussianPDF(-10f, 4f);
    assertEquals(1, pdf.sample().length);
   
    c = 0;
    for (int i = 0; i < n; i++) {
      float sample = pdf.sample()[0];
      if (sample > -12f && sample < -8f) c++;
    }
    ourLogger.info("GaussianPDFTest c: " + c);
    assertTrue(c > 620 && c < 740);
  }
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