unitize
vs review
unitizer
offers three functions to access the interactive review environment: unitize
, unitize_dir
, and review
. unitize
is used when you either want to generate a unitizer
from a test file, or when you want to compare the re-evaluation of a test file to an existing unitizer
. untize_dir
does what unitize
does, except for a whole directory at a time.
review
is a helper function used when you want to review the contents of an existing unitizer
. This is useful if you grow uncertain about tests that you previously approved and want to ensure they actually do what you want them to. You can review and potentially remove items from a unitizer
with review
.
Both these functions use the same interactive environment, though rules therein are slightly different. For example, in review
, all the tests are considered passed since there is nothing to compare them to, and the interactive environment will step you through all the passed tests. unitize
will normally omit passed tests from the review process.
We will focus on unitize
for the rest of this vignette since most of the commentary about it applies equally to unitize_dir
and review
.
To examine the interactive environment more thoroughly we will go back to the demo (you can run it with demo(unitizer)
). This is the unitizer
prompt right after our first failed test when our unitizer.fastlm
implementation was returning the wrong values:
> get_slope(res)
unitizer test fails on value mismatch:
*value* mismatch: Mean relative difference: 6943055624
@@ .ref @@
- [1] 101
@@ .new @@
+ [1] 701248618125
unitizer
CommandsMuch like the browser()
prompt, the unitizer
prompt accepts several special expressions that allow you to control unitizer
behavior. What the expressions are and what they do depends on context. We will review them in the context of the failed test described above. Look at what the unitizer
prompt stated before we started reviewing our failed tests:
- Failed -----------------------------------------------------------------------
The 2 tests in this section failed because the new evaluations do not match the
reference values from the store. Overwrite with new results ([Y]es, [N]o,
[P]rev, [B]rowse, [R]erun, [Q]uit, [H]elp)?
This clearly lays out all the special commands available to us:
Y
will accept the new value as the correct reference value to use for a testN
will keep the previous reference value as the reference value for future testsP
takes us back to the previously reviewed test (see “Test Navigation” next)B
allows us to navigate to any previously reviewed test (see “Test Navigation” next)R
toggles re-run mode; when you complete review or exit, unitizer
will re-run the tests, which is useful if you made changes to your source code and re-installed your package from the unitizer
promptQ
quits unitizer
(see “Quitting unitizer
”)H
provides contextual helpIf you type any of those letters into the unitizer
prompt you will cause unitizer
to respond as described above instead of evaluating the expression as it would be at the normal R console prompt. If you have a variable assigned to one of those letters and you wish to access it, you can do so with any of get
, (
, print
, etc. For example, suppose we stored something in Y
, then to access it all these commands would work:
(Y)
get("Y")
print(Y)
unitizer
checks for an exact match of a user expression to the special command letters, so something like (Y)
does not match Y
which allows you to reach the value stored in Y
.
If at any time you forget what unitizer
options are available to you you can just hit the “ENTER” key and unitizer
will re-print the options to screen.
You can accept all unreviewed tests in a sub-section, section, or unitizer with YY
, YYY
, and YYYY
respectively. You can also reject them with NN
, NNN
, and NNNN
. Please note that accepting multiple tests without reviewing them is a really bad idea, and you should only resort to these shortcuts when you are absolutely certain of what you are doing. The most common use case for these shortcuts is to drop multiple removed tests from a unitizer
.
unitizer
PromptThe unitizer
prompt is designed to emulate the standard R prompt. For the most part you can type any expression that you would type at the R prompt and get the same result as you would there. This means you can examine the objects created by your test script, run R computations, etc.
There are, however, some suble differences created by the structure of the evaluation environments unitizer
uses:
rm
unitizer
objects .new
, .NEW
, .ref
, and .REF
that let you review the results of tests (we will discuss these next)ls
is over-ridden by a special unitizer
version (we will also dicuss this next)pre
argument to unitize
, though they will not show up in a call to ls
.new
and .ref
As we saw in the demo there are special objects available at the prompt: .new
(except for removed/deleted tests), and for all but new tests, .ref
. These objects contain the values produced by the newly evaluated test (.new
) and by the test when it was previously run and accepted (.ref
). .new
might seem a bit superfluous since the user can always re-evaluate the test expression at the unitizer
prompt to review the value, but if that evaluation is slow you can save a little time by using .new
. .ref
is the only option you have to see what the test used to produce back when it was first accepted into the unitizer
store.
.new
and .ref
contain the values produced by the tests, but sometimes it is useful to access other aspects of the test evaluation. To do so you can use .NEW
and .REF
:
.NEW
prints general information about the test.NEW$value
returns the test value; equivalent to typing .new
at the prompt.NEW$conditions
returns the list of conditions produced by the test.NEW$messsage
returns the stderr captured during test evaluation.NEW$output
returns the screen output captured during test evaluation (note often this will be similar to what you get from .new
or .NEW$value
since typing those expressions at the prompt leads to the value being printed).NEW$call
returns the test expression.NEW$aborted
returns whether the test expression invoked an “abort” restart (e.g. called stop
at some point)You can substitute .REF
for .NEW
in any of the above, provided that .REF
is defined (i.e. that will not work when you are reviewing new tests since there is no corresponding reference test for those by definition).
If both .NEW
and .REF
are defined, then .DIFF
will be defined too. .DIFF
has the same structure as .NEW
and it contains the result of evaluating diffobj::diffObj
between each component of .NEW
and .REF
. .diff
is shorthand for .DIFF$value
. If there are state differences (e.g. search path) you will be able to view those with .DIFF$state
.
ls
Using ls
at the unitizer
prompt calls an unitizer
version of the function. This is what happens when we type ls()
at the first failed test in the unitizer
we’ve been reviewing in this vignette:
$`objects in new test env:`
[1] "res" "x" "y"
$`objects in ref test env:`
[1] "res" "x" "y"
$`unitizer objects:`
[1] ".new" ".NEW" ".ref" ".REF"
Use `ref(.)` to access objects in ref test env
`.new` / `.ref` for test value, `.NEW` / `.REF` for details.
unitizer>
This special version of ls
highlights that our environment is more complex than that at the typical R prompt. This is necessary to allow us to review both the newly evaluated objects as well as the objects from the reference unitizer
store to compare them for differences. For instance, in this example, we can see that there are both new and reference copies of the res
, x
, and y
objects. The reference copies are from the previous time we ran unitizer
. ls
also notes what unitizer
special objects are available.
When you type at the prompt the name of one of the objects ls
lists, you will see the newly evaluated version of that variable. If you wish to see the reference value, then use the ref
function:
unitizer> res
intercept slope rsq
-3.541306e+13 7.012486e+11 9.386790e-01
attr(,"class")
[1] "fastlm"
unitizer> ref(res)
intercept slope rsq
-1717.000000 101.000000 0.938679
attr(,"class")
[1] "fastlm"
Note that at times when you use ls
at the unitizer
promopt you may see something along the lines of:
$`objects in ref test env:`
[1] "res" "x*" "y'"
where object names have symbols such as *
or '
appended to them. This happens because unitizer
does not store the entire environment structure of the reference tests. Here is a description of the possible situations you can run into:
*
Object existed during reference test evaluation, but is no longer available'
Object existed during reference test evaluation, and still does, but it has a different value than it did during reference test evaluation**
Object exists now, but did not exist during reference test evaluationFor more discussion see ?"healEnvs,unitizerItems,unitizer-method"
and the discussion of patchwork reference environments.
Objects assigned right before a test are part of that test’s environment so will always be available.
unitize_dir
unitize_dir
adds a layer of navigation. Here is what you see after running it on the demo package directory test directory:
> (.unitizer.fastlm <- copy_fastlm_to_tmpdir()) # package directory
> unitize_dir(.unitizer.fastlm)
Inferred test directory location: private/var/folders/56/qcx6p6f94695mh7yw-
q9m6z_80000gq/T/RtmpJO7kjd/file43ac57df6164/unitizer.fastlm/tests/unitizer
Summary of files in common directory 'tests/unitizer':
Pass Fail New
*1. fastlm1.R - - 4
*2. fastlm2.R - - 1
*3. unitizer.fastlm.R - - 3
.....................................
- - 8
Legend:
* `unitizer` requires review
Type number of unitizer to review, 'A' to review all that require review
unitizer>
Each listing corresponds to a test file. If you were to type 1
at the prompt then you would see the equivalent of the unitize
process in the demo, since “fastlm1.R” is the file we unitize
in the demo. The *
ahead of each file indicates that the file has tests that require review. In this case, all the files have new tests. After we type 1
and go through the unitize
process for “fastlm1.R” we are returned to the unitize_dir
prompt:
unitizer updated
Summary of files in common directory 'tests/unitizer':
Pass Fail New
$1. fastlm1.R ? ? ?
*2. fastlm2.R - - 1
*3. unitizer.fastlm.R - - 3
.....................................
? ? ?
Legend:
* `unitizer` requires review
$ `unitizer` has been updated and needs to be re-evaluted to recompute summary
Type number of unitizer to review, 'A' to review all that require review, 'R' to
re-run all updated
unitizer>
Because we updated “fastlm.R”, the statistics unitize_dir
collected when it first ran all the tests are out of date, which is why they show up as question marks. The $
also indicates that “fastlm1.R” stats are out of date. There is nothing wrong with this, and you do not need to do anything about it, but if you want you can re-run any unitizers that need to be updated by typing “R” at the prompt. This is what happens if we do so:
unitizer> R
Summary of files in common directory 'tests/unitizer':
Pass Fail New
1. fastlm1.R 4 - -
*2. fastlm2.R - - 1
*3. unitizer.fastlm.R - - 3
.....................................
4 - 4
* `unitizer` requires review
Type number of unitizer to review, 'A' to review all that require review
unitizer>
You can now see that we added all the tests, and upon re-running, they all passed since the source code for unitizer.fastlm
has not changed. Notice how there is no *
ahead of the first test anymore.
Another option for reviewing tests is to type “A” at the prompt, which would cause unitize_dir
to put you through each test file that requires review in sequence.