://typescript-react-primer.loyc.net/minification.html
* https://github.com/privatenumber/minification-benchmarks
* https://github.com/vercel/ncc - this is by the same people using vercel/pkg, the `ncc` would be used first to take our `dist` into a single file, so I'm not sure what happens to our `json` data, and then `pkg` can run against the single file

Basically, right now `tsc` produces the `dist`. We would want to pass the `dist` into a minifier/bundler like `esbuild` or `terser` or `ncc`, and then pass the final single file result to `pkg`.

Ideally the "bundling" step should also perform optimisations like DCE.

This should reduce the size of the final executable by a significant amount, possibly 70%, and it should also help with the performance of the code as in #277 since it won't need to load different files.

However for `npm` publishing, it will still use `dist` as normal unminified and all. This makes it useful for libraries. This bundling step would only be done temporarily within our release builds to executables. It does not apply to `application` nor `docker` target.
<issue_comment>username_0: Should review the CLI error handling overall, see this thread: https://github.com/MatrixAI/js-polykey/pull/278#discussion_r769122133 and https://github.com/MatrixAI/js-polykey/wiki/API-Design
<issue_comment>username_0: Noticed that sometimes we need our `--verbose` messaging because by default only `WARN` messages are shown. Now some message are useful for the user. Some messages are useful for the debugger/developer. So we may need to raise our message levels internally to `DEBUG`. That way info messages useful to the user can still be shown. On the other hand, I'm not sure if I like this as well.

Perhaps instead we need another level, or level of messages that is given interactively. That is one could say that messages intended for interactive usage can be `this.logger.warn`.

Alternatively, interactive messages may need to go directly to `process.stderr.write` rather than using the logger even though the logger does use STDERR.

Not entirely sure atm. Because this has to interact with formatting and error handling too.Citation: Osimobi OJ, Nwankwo CA. Assessment of Particulate Matter Concentrations in a University Campus in Nigeria. J Environ Stud. 2018;4(1): 4.
A study on the assessment of particulate matter concentrations in Choba campus of the University of Port Harcourt and its implications on public health based on set limits were evaluated. The concentrations of particulate matter and meteorological data were measured for a period of four weeks at two locations within the Choba campus. Daily hourly data monitoring was conducted over a period of eight hours (7.15 am to 3.15 pm). The choice of averaging time in air quality studies could be based on 1-hr, 8-hr or 24-hr. Based on 8-hour averaging time, the following mean concentrations were obtained; total suspended particulate (TSP) varied from 25.25 μg/m3 to 154.0 μg/m3; particulate matter (PM10) varied from 27.63 μg/m3 to 142.75 μg/m3; PM2.5 varied from 13.63 μg/m3 to 67.25 μg/m3. The study revealed two sources of particulate pollution in Choba campus; one locally emanating from use of power generating sets and vehicular emissions and the second externally emanating from regional black carbon (soot). The results of trend analysis showed that daily particulate concentrations in the study area were higher through the early hours of morning from 7.00 am until about 9.00 am. The study revealed the presence of PM2.5 above the set limits, which could pose risks to human health on Choba campus. Persons with respiratory diseases are at greater risk on exposure. Prolonged exposure may aggravate cases of asthma and cardiovascular problems among the exposed public.
Air is important for existence and so the quality of air for life has become a global concern. Airborne particles are released directly or indirectly into the atmosphere through natural or anthropogenic sources [1-3]. In many urban and semi-urban cities of the world, concentrations of air pollutants are on the increase mainly due to anthropogenic activities such as burning of fossil fuels for energy, automobiles, industry and domestic fuel combustion [4]. Studies have shown that many cities in China and India are polluted with particulate matter [5,6]. Particulate pollution is a major concern in most cities all over the world due to it negative effects on human health and climate. Studies have associated particulate pollution with increased risk of respiratory illness such as asthma and cardiopulmonary disease [7-9]. The size of particles is proportionally related to their potential for causing health problems for example particles less than 10 μm can penetrate deep into lungs even as far as the blood stream. Fine particles originating from gases emitted from automobiles, power plants can react in the air and accumulation of such gases resulted in enhanced greenhouse effect causing global warming, and change in rainfall pattern [8].
Particulate matter contributes significantly to haze and reduction of visibility in urban cities [10]. PM10 refers to particles of size 10 microns or less in diameter; while, PM2.5 refers to particles of size 2.5 microns or less in diameter, which are, described as inhalable particles. These particles are suspended in the air and consist of a mixture of inorganic and organic substances such as sulphate, carbon nitrate, acids and metals [11]. Exposure to fine particulate (PM10 and PM2.5) at concentrations exceeding air quality permissible limit can result to increased risk of lung and heart-related respiratory illness [7,8]. Rather et al. carried out air quality assessment in a university campus and they identified roadside dust, commercial activities and vehicular density as some of the sources of air pollutants on the university campus [12]. Studies on particulate pollution and particulate matterbased air quality index in Port Harcourt metropolis have been carried out [13,14], however there is paucity of literature on inclusive locations such as the university campus. In a similar development, Akinfolarin et al. studied air quality characteristics of emerging industrial areas in Port Harcourt [15]. The study reported high levels of total suspended particulate that exceeded permissible limits.
The dispersion of particulate matter within a University campus in Nigeria should be an issue of increasing concern due to its potential health risks to thousands of students and other occupants. In spite of its potential health hazards, little is known about the concentrations of particulate matter in many University campuses in Nigeria. University campuses in Nigeria have motor parks and established business centres that use either diesel or petrol run generating sets. Generating sets and automobiles are major sources of particulate matters. This study focused on measurement and statistical analysis of particulate matter in Choba campus of the University of Port Harcourt. Particulate matter was chosen because of its high potential risk to human health, particularly PM less than 2.5 micron (PM2.5). The Federal Ministry of Environment (FMEnv) is the regulatory agency in Nigeria overseeing matters relating to the environment and has set a limit of 250 μg/m3 daily average for particulates [16], while, the National Ambient Air Quality Standards sets limits of 200 μg/m3, 150 μg/m3 and 35 μg/m3 for TSP, PM10 and PM2.5 respectively [17].
The study area is the Choba campus of the University of Port Harcourt Rivers State, Nigeria. It is situated between latitudes 4.896 0N and 4.895 0N, and longitudes 6.908 0E and 6.909 0E. The University has three major campuses namely: Choba campus, Delta campus and Abuja campus. The choice of Choba campus is because of its proximity to the popular Choba Junction (a road intercession to Lagos-the commercial hub of Nigeria). Two sampling locations were identified namely the Car Park (CP) and Classroom Areas (CA). Insitu measurement of particulate matter (TSP, PM10 and PM2.5) was carried out at CP and CA within the Choba campus. A CW-HAT200 particulate instrument capable of detecting concentrations of particulate matter in micrograms per cubic meter (μg/m3) was used to measure particulate matter and a multi-purpose digital Kestrel 4500 weather tracker was used to measure meteorological parameters. CWHAT200 is light scattering device and as such is sensitive to relative humidity, however the model used has external digital temperature and humility sensors to assure accurate measurement. The particulate sensors are in the circuitry of the instrument. This ensures accuracy of measurement without any need for correction factor, as there is no interference with the particulate sensors. Measurement of particulate concentrations and meteorological parameters was conducted within one month (1st to 26th) of May 2017) and data were collected thrice (Monday, Wednesday and Friday) in a week. To accurately capture reliable data the instruments were placed at 1.5 m above ground level and data were collected within one-hour interval between 700 hours to 1500 hours, on daily basis during the period.
The results from this study are represented in (Figure 1-6). The hourly mean concentrations of particulate matter (PM10, PM2.5 and TSP obtained at the two monitoring stations are shown in (Figure 1 and 2).The cumulative mean