This commit was merged in pull request #105.
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@@ -49,7 +49,7 @@ that runs a piece of your code and asserts that the result is what it should be.
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holds, the test passes silently. If it doesn't, the test fails loudly and tells you exactly which
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expectation broke.
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You've already been testing, by hand. Every time you ran `python cli.py list` and eyeballed the
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You've already been testing, by hand. Every time you ran `python3 cli.py list` and eyeballed the
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output, you ran a manual test: *do something, check the result looks right.* The problem with the
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manual version is the same problem copy-paste had in Module 1: it doesn't scale across files or
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across time. You can't re-run "eyeball every command" on every change, so you don't, so regressions
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@@ -71,12 +71,12 @@ class TestTaskList(unittest.TestCase):
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self.assertEqual(tl.tasks[0].title, "write the tests")
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```
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The whole suite runs from the project folder with a single command: `python -m unittest`
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The whole suite runs from the project folder with a single command: `python3 -m unittest`
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auto-discovers files named `test_*.py`, and `-v` prints each test name and its result. A verbose run
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looks like:
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```text
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$ python -m unittest -v
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$ python3 -m unittest -v
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test_add_appends_a_task (test_tasks.TestTaskList) ... ok
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----------------------------------------------------------------------
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@@ -167,7 +167,7 @@ intent has to come from you.
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One more framing before the lab. A test file just sitting in your repo is useful when you remember to
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run it; like the manual eyeball check, you eventually won't. The full payoff comes in
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**Module 14**, where Continuous Integration runs this exact `python -m unittest` command
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**Module 14**, where Continuous Integration runs this exact `python3 -m unittest` command
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automatically on every push, so a regression can't reach `main` without something going red first.
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That's why this module comes immediately before CI: **tests are the content CI runs.** You can't
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@@ -256,7 +256,7 @@ Do this once yourself so the tool isn't magic. From inside your working copy of
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2. Run it:
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```bash
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python -m unittest -v
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python3 -m unittest -v
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```
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You should see one test, and `OK`. That's the entire mechanism. Everything else is more of these.
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@@ -286,7 +286,7 @@ Do this once yourself so the tool isn't magic. From inside your working copy of
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5. Run the suite:
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```bash
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python -m unittest -v
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python3 -m unittest -v
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```
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At least one `pending_count` test should **FAIL**, with something like
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@@ -310,8 +310,8 @@ Do this once yourself so the tool isn't magic. From inside your working copy of
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return len(self.pending())
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```
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Re-run `python -m unittest -v`; green. Confirm the app agrees:
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`python cli.py add a && python cli.py add b && python cli.py done 0 && python cli.py count`
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Re-run `python3 -m unittest -v`; green. Confirm the app agrees:
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`python3 cli.py add a && python3 cli.py add b && python3 cli.py done 0 && python3 cli.py count`
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should report **1 task(s) pending**.
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> Using your own app from earlier modules instead? If your `count` command was already correct,
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@@ -365,7 +365,7 @@ The honest limits, because a green suite invites overconfidence:
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**You're done when:**
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- You can run `python -m unittest -v` in your `tasks-app` and see your own tests pass.
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- You can run `python3 -m unittest -v` in your `tasks-app` and see your own tests pass.
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- You watched an intent-encoding test **fail**, traced it to the real `pending_count` bug, fixed the
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*code*, and watched it pass.
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- You can articulate, in your own words, the difference between a test that asserts current behavior
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