{'fraction_non_alphanumeric': 0.015676028739386023, 'fraction_numerical': 0.0, 'mean_word_length': 5.383333333333334, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Expanding emulation from test to create realistic virtual training environments

Most test and measurement experts are aware of the difficulties emanating from limited hardware availability that often arise when testing complex or cutting-edge systems. Hardware inaccessibility typically presents itself when the physical hardware is expensive, large, or simply not yet built. Models and simulations are commonly used to develop test and measurement strategies, to assist in the design of a reliable test bed when physical hardware is unavailable, or to reduce the costs associated with expensive test procedures. Modeling and simulation also afford a test developer the flexibility to experiment with new strategies and the opportunity to get a jump-start on test development without confining him or her to specific measurement techniques. When packaged together, individual models and simulations can be used to create a reliable emulation of a piece of hardware or even an entire system. Although there are many benefits to using hardware emulation in a test and measurement setting, emulation techniques are sometimes not utilized to their full potential. Because of the perceived limited use of emulators, some engineers may be reluctant to invest the time, cost, and energy necessary to develop high-integrity emulation products. This does not need to be the case, however, as emulators have significant applicability in other areas, such as training and maintenance, even after test development and deployment are complete.