Disposal

[henrydingliu]

Summary of Changes

Related GitHub Issue(s)

Additional Context for Reviewers

• I passed tests locally for both code (uv run pytest) and documentation changes (uv run jb build docs --builder=custom --custom-builder=doctest)

---

Note

Medium Risk
Changes disposal-rate math for non-cumulative inputs, which can shift forecasts; tests validate textbook parity but production triangles may behave differently.

Overview
DisposalRate now converts the input triangle to cumulative before computing disposal_rate_tri and fitting, so disposal rates are always cumulative ÷ ultimate instead of dividing raw X by ultimates.

The Friedland fidelity test was reworked to build ultimates from closed and reported claim-count development (with tail), assert exact disposal factors, and relax incremental bottom-half checks for textbook rounding. Tests gained type hints and docstrings; the sparse test explicitly keeps sparse ultimates. Docs fix a typo (“examine”).

^{Reviewed by Cursor Bugbot for commit df8e2f9. Bugbot is set up for automated code reviews on this repo. Configure here.}

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 89.31%. Comparing base (0c1830d) to head (df8e2f9).
⚠️ Report is 11 commits behind head on disposal_rate_method.

Additional details and impacted files

@@ Coverage Diff @@## disposal_rate_method #1048 +/- ##
========================================================
+ Coverage 89.24% 89.31% +0.07% 
========================================================
Files 91 91 Lines 5233 5234 +1 Branches 666 666 ========================================================
+ Hits 4670 4675 +5 + Misses 396 391 -5 - Partials 167 168 +1 

Flag	Coverage Δ
unittests	89.31% <100.00%> (+0.07%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Harness.
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[henrydingliu]

Summary of Changes

Related GitHub Issue(s)

Additional Context for Reviewers

• I passed tests locally for both code (uv run pytest) and documentation changes (uv run jb build docs --builder=custom --custom-builder=doctest)

---

Note

Medium Risk
Changes disposal-rate math for non-cumulative inputs, which can shift forecasts; tests validate textbook parity but production triangles may behave differently.

Overview
DisposalRate now converts the input triangle to cumulative before computing disposal_rate_tri and fitting, so disposal rates are always cumulative ÷ ultimate instead of dividing raw X by ultimates.

The Friedland fidelity test was reworked to build ultimates from closed and reported claim-count development (with tail), assert exact disposal factors, and relax incremental bottom-half checks for textbook rounding. Tests gained type hints and docstrings; the sparse test explicitly keeps sparse ultimates. Docs fix a typo (“examine”).

^{Reviewed by Cursor Bugbot for commit df8e2f9. Bugbot is set up for automated code reviews on this repo. Configure here.}

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 89.31%. Comparing base (0c1830d) to head (df8e2f9).
⚠️ Report is 11 commits behind head on disposal_rate_method.

Additional details and impacted files

@@ Coverage Diff @@## disposal_rate_method #1048 +/- ##
========================================================
+ Coverage 89.24% 89.31% +0.07% 
========================================================
Files 91 91 Lines 5233 5234 +1 Branches 666 666 ========================================================
+ Hits 4670 4675 +5 + Misses 396 391 -5 - Partials 167 168 +1 

Flag	Coverage Δ
unittests	89.31% <100.00%> (+0.07%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Harness.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[henrydingliu]

Summary of Changes

Related GitHub Issue(s)

Additional Context for Reviewers

• I passed tests locally for both code (uv run pytest) and documentation changes (uv run jb build docs --builder=custom --custom-builder=doctest)

---

Note

Medium Risk
Changes disposal-rate math for non-cumulative inputs, which can shift forecasts; tests validate textbook parity but production triangles may behave differently.

Overview
DisposalRate now converts the input triangle to cumulative before computing disposal_rate_tri and fitting, so disposal rates are always cumulative ÷ ultimate instead of dividing raw X by ultimates.

The Friedland fidelity test was reworked to build ultimates from closed and reported claim-count development (with tail), assert exact disposal factors, and relax incremental bottom-half checks for textbook rounding. Tests gained type hints and docstrings; the sparse test explicitly keeps sparse ultimates. Docs fix a typo (“examine”).

^{Reviewed by Cursor Bugbot for commit df8e2f9. Bugbot is set up for automated code reviews on this repo. Configure here.}

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 89.31%. Comparing base (0c1830d) to head (df8e2f9).
⚠️ Report is 11 commits behind head on disposal_rate_method.

Additional details and impacted files

@@ Coverage Diff @@## disposal_rate_method #1048 +/- ##
========================================================
+ Coverage 89.24% 89.31% +0.07% 
========================================================
Files 91 91 Lines 5233 5234 +1 Branches 666 666 ========================================================
+ Hits 4670 4675 +5 + Misses 396 391 -5 - Partials 167 168 +1 

Flag	Coverage Δ
unittests	89.31% <100.00%> (+0.07%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Harness.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[henrydingliu]

Summary of Changes

Related GitHub Issue(s)

Additional Context for Reviewers

• I passed tests locally for both code (uv run pytest) and documentation changes (uv run jb build docs --builder=custom --custom-builder=doctest)

---

Note

Medium Risk
Changes disposal-rate math for non-cumulative inputs, which can shift forecasts; tests validate textbook parity but production triangles may behave differently.

Overview
DisposalRate now converts the input triangle to cumulative before computing disposal_rate_tri and fitting, so disposal rates are always cumulative ÷ ultimate instead of dividing raw X by ultimates.

The Friedland fidelity test was reworked to build ultimates from closed and reported claim-count development (with tail), assert exact disposal factors, and relax incremental bottom-half checks for textbook rounding. Tests gained type hints and docstrings; the sparse test explicitly keeps sparse ultimates. Docs fix a typo (“examine”).

^{Reviewed by Cursor Bugbot for commit df8e2f9. Bugbot is set up for automated code reviews on this repo. Configure here.}

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 89.31%. Comparing base (0c1830d) to head (df8e2f9).
⚠️ Report is 11 commits behind head on disposal_rate_method.

Additional details and impacted files

@@ Coverage Diff @@## disposal_rate_method #1048 +/- ##
========================================================
+ Coverage 89.24% 89.31% +0.07% 
========================================================
Files 91 91 Lines 5233 5234 +1 Branches 666 666 ========================================================
+ Hits 4670 4675 +5 + Misses 396 391 -5 - Partials 167 168 +1 

Flag	Coverage Δ
unittests	89.31% <100.00%> (+0.07%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Harness.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[henrydingliu]

Summary of Changes

Related GitHub Issue(s)

Additional Context for Reviewers

• I passed tests locally for both code (uv run pytest) and documentation changes (uv run jb build docs --builder=custom --custom-builder=doctest)

---

Note

Medium Risk
Changes disposal-rate math for non-cumulative inputs, which can shift forecasts; tests validate textbook parity but production triangles may behave differently.

Overview
DisposalRate now converts the input triangle to cumulative before computing disposal_rate_tri and fitting, so disposal rates are always cumulative ÷ ultimate instead of dividing raw X by ultimates.

The Friedland fidelity test was reworked to build ultimates from closed and reported claim-count development (with tail), assert exact disposal factors, and relax incremental bottom-half checks for textbook rounding. Tests gained type hints and docstrings; the sparse test explicitly keeps sparse ultimates. Docs fix a typo (“examine”).

^{Reviewed by Cursor Bugbot for commit df8e2f9. Bugbot is set up for automated code reviews on this repo. Configure here.}

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 89.31%. Comparing base (0c1830d) to head (df8e2f9).
⚠️ Report is 11 commits behind head on disposal_rate_method.

Additional details and impacted files

@@ Coverage Diff @@## disposal_rate_method #1048 +/- ##
========================================================
+ Coverage 89.24% 89.31% +0.07% 
========================================================
Files 91 91 Lines 5233 5234 +1 Branches 666 666 ========================================================
+ Hits 4670 4675 +5 + Misses 396 391 -5 - Partials 167 168 +1 

Flag	Coverage Δ
unittests	89.31% <100.00%> (+0.07%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Harness.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[henrydingliu]

Summary of Changes

Related GitHub Issue(s)

Additional Context for Reviewers

• I passed tests locally for both code (uv run pytest) and documentation changes (uv run jb build docs --builder=custom --custom-builder=doctest)

---

Note

Medium Risk
Changes disposal-rate math for non-cumulative inputs, which can shift forecasts; tests validate textbook parity but production triangles may behave differently.

Overview
DisposalRate now converts the input triangle to cumulative before computing disposal_rate_tri and fitting, so disposal rates are always cumulative ÷ ultimate instead of dividing raw X by ultimates.

The Friedland fidelity test was reworked to build ultimates from closed and reported claim-count development (with tail), assert exact disposal factors, and relax incremental bottom-half checks for textbook rounding. Tests gained type hints and docstrings; the sparse test explicitly keeps sparse ultimates. Docs fix a typo (“examine”).

^{Reviewed by Cursor Bugbot for commit df8e2f9. Bugbot is set up for automated code reviews on this repo. Configure here.}

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 89.31%. Comparing base (0c1830d) to head (df8e2f9).
⚠️ Report is 11 commits behind head on disposal_rate_method.

Additional details and impacted files

@@ Coverage Diff @@## disposal_rate_method #1048 +/- ##
========================================================
+ Coverage 89.24% 89.31% +0.07% 
========================================================
Files 91 91 Lines 5233 5234 +1 Branches 666 666 ========================================================
+ Hits 4670 4675 +5 + Misses 396 391 -5 - Partials 167 168 +1 

Flag	Coverage Δ
unittests	89.31% <100.00%> (+0.07%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Harness.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[henrydingliu]

Summary of Changes

Related GitHub Issue(s)

Additional Context for Reviewers

• I passed tests locally for both code (uv run pytest) and documentation changes (uv run jb build docs --builder=custom --custom-builder=doctest)

---

Note

Medium Risk
Changes disposal-rate math for non-cumulative inputs, which can shift forecasts; tests validate textbook parity but production triangles may behave differently.

Overview
DisposalRate now converts the input triangle to cumulative before computing disposal_rate_tri and fitting, so disposal rates are always cumulative ÷ ultimate instead of dividing raw X by ultimates.

The Friedland fidelity test was reworked to build ultimates from closed and reported claim-count development (with tail), assert exact disposal factors, and relax incremental bottom-half checks for textbook rounding. Tests gained type hints and docstrings; the sparse test explicitly keeps sparse ultimates. Docs fix a typo (“examine”).

^{Reviewed by Cursor Bugbot for commit df8e2f9. Bugbot is set up for automated code reviews on this repo. Configure here.}

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 89.31%. Comparing base (0c1830d) to head (df8e2f9).
⚠️ Report is 11 commits behind head on disposal_rate_method.

Additional details and impacted files

@@ Coverage Diff @@## disposal_rate_method #1048 +/- ##
========================================================
+ Coverage 89.24% 89.31% +0.07% 
========================================================
Files 91 91 Lines 5233 5234 +1 Branches 666 666 ========================================================
+ Hits 4670 4675 +5 + Misses 396 391 -5 - Partials 167 168 +1 

Flag	Coverage Δ
unittests	89.31% <100.00%> (+0.07%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Harness.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.

[henrydingliu]

Summary of Changes

Related GitHub Issue(s)

Additional Context for Reviewers

• I passed tests locally for both code (uv run pytest) and documentation changes (uv run jb build docs --builder=custom --custom-builder=doctest)

---

Note

Medium Risk
Changes disposal-rate math for non-cumulative inputs, which can shift forecasts; tests validate textbook parity but production triangles may behave differently.

Overview
DisposalRate now converts the input triangle to cumulative before computing disposal_rate_tri and fitting, so disposal rates are always cumulative ÷ ultimate instead of dividing raw X by ultimates.

The Friedland fidelity test was reworked to build ultimates from closed and reported claim-count development (with tail), assert exact disposal factors, and relax incremental bottom-half checks for textbook rounding. Tests gained type hints and docstrings; the sparse test explicitly keeps sparse ultimates. Docs fix a typo (“examine”).

^{Reviewed by Cursor Bugbot for commit df8e2f9. Bugbot is set up for automated code reviews on this repo. Configure here.}

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 89.31%. Comparing base (0c1830d) to head (df8e2f9).
⚠️ Report is 11 commits behind head on disposal_rate_method.

Additional details and impacted files

@@ Coverage Diff @@## disposal_rate_method #1048 +/- ##
========================================================
+ Coverage 89.24% 89.31% +0.07% 
========================================================
Files 91 91 Lines 5233 5234 +1 Branches 666 666 ========================================================
+ Hits 4670 4675 +5 + Misses 396 391 -5 - Partials 167 168 +1 

Flag	Coverage Δ
unittests	89.31% <100.00%> (+0.07%)	⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

☔ View full report in Codecov by Harness.
📢 Have feedback on the report? Share it here.

🚀 New features to boost your workflow:

• ❄️ Test Analytics: Detect flaky tests, report on failures, and find test suite problems.