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Sort finite numeric priorities from largest to smallest, preserve arrival order for ties, and return a new array without changing the input.

1. Reproduce order and ownership

   Run the starter. Identify who observes the mutated input and what order equal priorities should keep.

   Hint 1

   Compare the input before and after the call.

   Hint 2

   Copy the array before sorting; retain arrival order when priorities tie.

2. Repair the numeric boundary

   Handle finite numeric priorities and tie order without changing the acceptance tests.

   Hint 1

   String comparison gives a different order for 2 and 10.

   Hint 2

   Validate numbers before comparing them.

3. Review a counterexample

   Read the final diff and describe one input outside the exercise contract.

   Hint 1

   Correct order does not establish ownership.

   Hint 2

   Use a frozen array to expose an accidental in-place sort.

Return exactly event, method, path, status, and duration_ms. Strip query strings and fragments from the URL. Never retain headers, bodies, or future fields; preserve the input.

1. Trace serialized output

   Follow a synthetic request through the builder and identify which values reach JSON serialization.

   Hint 1

   Inspect the field names, not just the dashboard.

   Hint 2

   A spread copies current sensitive fields and unknown future fields.

2. Make the contract explicit

   Construct only the five allowed fields and strip query and fragment data from the path.

   Hint 1

   Choose permitted fields before constructing the result.

   Hint 2

   Split the local path at the first question mark or hash.

3. Challenge future changes

   Explain why a new synthetic sensitive field stays outside the output.

   Hint 1

   Deleting known fields requires continuing maintenance.

   Hint 2

   Check input preservation as well as the absence of a token.

Accept whole nonnegative delay-seconds or a canonical HTTP date using the supplied finite clock. Clamp past dates to zero; return null for invalid, fractional, partial, negative, missing, or overflowing values.

1. Classify accepted inputs

   Separate whole nonnegative seconds, canonical HTTP dates, and invalid values.

   Hint 1

   Parsing a numeric prefix is not validation.

   Hint 2

   List a fraction, a negative string, and an overflowing number.

2. Control the clock

   Use the supplied clock to compare an HTTP date and clamp dates in the past.

   Hint 1

   Never wait for wall-clock seconds in this fixture.

   Hint 2

   Format a parsed date back to UTC to check its canonical form.

3. Inspect rejection evidence

   Explain why a malformed value returns null rather than silently becoming a delay.

   Hint 1

   A partially accepted string can change retry behavior.

   Hint 2

   Keep the invalid-input table beside the passing result.

Return a version-1 manifest with files sorted by name, lowercase 64-digit SHA-256 hashes, and positive safe-integer byte sizes. Reject duplicates and unsafe filenames; exclude clocks and unknown fields without mutating input.

1. Define artifact identity

   Identify permitted fields, names, byte sizes, and hash representation.

   Hint 1

   Unknown fields must not change the manifest.

   Hint 2

   A clock value makes identical artifact lists serialize differently.

2. Validate before publishing

   Reject unsafe names, duplicates, invalid sizes, and invalid SHA-256 strings.

   Hint 1

   Use a set for names and safe integers for sizes.

   Hint 2

   A hexadecimal SHA-256 has exactly 64 digits; lowercase the output.

3. Prove reproducibility

   Compare equivalent inputs in a different order and verify input preservation.

   Hint 1

   Sort by name before serialization.

   Hint 2

   Stable output does not prove file bytes match the supplied hashes.

Permit a deployment only for a valid contract and an available, satisfied observation matching namespace, Secret name, generation, and current resource version. Return only allowed and a static reason; preserve inputs.

1. Check identity and availability

   Classify malformed contracts, absent observations, and evidence from another namespace or Secret.

   Hint 1

   A true condition can describe the wrong object.

   Hint 2

   Static reasons keep observation errors outside the output.

2. Reject stale evidence

   Compare generation and resource version with the exact current contract and Secret.

   Hint 1

   Rotation can change a Secret without changing contract generation.

   Hint 2

   A missing version is not evidence of equality.

3. Close the deployment decision

   Require a current positive observation and preserve inputs. Explain the time-of-check boundary.

   Hint 1

   A Kubernetes condition does not itself stop a deployment.

   Hint 2

   The caller must enforce this decision; the function does not reconcile a cluster.

Apply a contiguous tenant-scoped event buffer to an independent snapshot. Ignore already-covered events and exact duplicate deliveries. A gap, conflicting delivery ID, invalid event, or cross-tenant message returns the original snapshot with resync. Reject invalid snapshots.

1. Establish the snapshot boundary

   Validate tenant identity, cursor, and position values before applying events.

   Hint 1

   The snapshot covers every earlier stream position.

   Hint 2

   Clone state so a failed replay can return the original snapshot.

2. Recover order and duplicate delivery

   Require contiguous sequences and exact duplicate identity; request a snapshot on a gap.

   Hint 1

   Sequence numbers order the stream; event IDs identify deliveries.

   Hint 2

   An event ID reused with another payload is not an exact duplicate.

3. Keep failure atomic

   Refuse invalid or cross-tenant messages without exposing partial state. Check arbitrary subject keys.

   Hint 1

   Keep the candidate result private until the buffer is validated.

   Hint 2

   An own data property handles a subject named __proto__ without changing the prototype.