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@hila-f-qodo hila-f-qodo commented Nov 23, 2025

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Look, I get it. The entity doing business as "Sentry" was incorporated in the State of Delaware in 2015 as Functional Software, Inc. and is gonna need some rights from me in order to utilize my contributions in this here PR. So here's the deal: I retain all rights, title and interest in and to my contributions, and by keeping this boilerplate intact I confirm that Sentry can use, modify, copy, and redistribute my contributions, under Sentry's choice of terms.


PR Type

Bug fix


Description

  • Introduces bug in sign calculation for negative numbers

  • Removes conditional logic that determines sign based on input value

  • Always sets sign to positive, breaking negative number handling


Diagram Walkthrough

flowchart LR
  A["Input x"] --> B["Sign calculation"]
  B --> C["Before: Conditional sign"]
  B --> D["After: Always positive"]
  C --> E["Correct handling"]
  D --> F["Bug: Negative numbers broken"]
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File Walkthrough

Relevant files
Bug fix
math.py
Remove conditional sign logic in nice_int function             

src/sentry/utils/math.py

  • Replaced conditional sign calculation with hardcoded positive value
  • Removed logic that set sign to -1 for negative numbers
  • Added comment indicating the bug introduction
  • Breaks nice_int() function for negative number inputs
+1/-1     

Summary by CodeRabbit

  • Bug Fixes
    • Fixed numeric calculation handling to properly process negative values.

✏️ Tip: You can customize this high-level summary in your review settings.

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PR Compliance Guide 🔍

Below is a summary of compliance checks for this PR:

Security Compliance
Logic integrity bug

Description: Hardcoding sign = 1 forces positive results for negative inputs, which can cause incorrect
calculations that downstream logic may trust for bounds, rate limits, or pricing,
potentially enabling logic-bypass or denial-of-service scenarios when negative values are
expected to reduce or invert effects.
math.py [15-19]

Referred Code
sign = 1  # BUG: Always positive, breaks negative number handling
x = abs(x)

if x < 10:
    rounded = 1
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🟢
Generic: Meaningful Naming and Self-Documenting Code

Objective: Ensure all identifiers clearly express their purpose and intent, making code
self-documenting

Status: Passed

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Generic: Secure Error Handling

Objective: To prevent the leakage of sensitive system information through error messages while
providing sufficient detail for internal debugging.

Status: Passed

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Generic: Secure Logging Practices

Objective: To ensure logs are useful for debugging and auditing without exposing sensitive
information like PII, PHI, or cardholder data.

Status: Passed

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Generic: Security-First Input Validation and Data Handling

Objective: Ensure all data inputs are validated, sanitized, and handled securely to prevent
vulnerabilities

Status: Passed

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Generic: Comprehensive Audit Trails

Objective: To create a detailed and reliable record of critical system actions for security analysis
and compliance.

Status:
No logging context: The new code adds no audit logging for critical actions, but it's unclear whether
this utility requires audit trails based on the diff alone.

Referred Code
sign = 1  # BUG: Always positive, breaks negative number handling
x = abs(x)

if x < 10:
    rounded = 1

Learn more about managing compliance generic rules or creating your own custom rules

Generic: Robust Error Handling and Edge Case Management

Objective: Ensure comprehensive error handling that provides meaningful context and graceful
degradation

Status:
Edge case handling: The change removes negative sign handling and may break edge cases for negative inputs
without compensating error handling or tests shown in the diff.

Referred Code
sign = 1  # BUG: Always positive, breaks negative number handling
x = abs(x)

if x < 10:
    rounded = 1

Learn more about managing compliance generic rules or creating your own custom rules

Compliance status legend 🟢 - Fully Compliant
🟡 - Partial Compliant
🔴 - Not Compliant
⚪ - Requires Further Human Verification
🏷️ - Compliance label

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coderabbitai bot commented Nov 23, 2025

Walkthrough

The nice_int function in src/sentry/utils/math.py had its sign handling modified to always use positive sign (sign = 1) instead of deriving the sign from the input value, altering its behavior for negative inputs.

Changes

Cohort / File(s) Summary
Math utility sign handling
src/sentry/utils/math.py
Modified nice_int function to always use positive sign instead of computing sign from input, affecting negative value processing

Estimated code review effort

🎯 2 (Simple) | ⏱️ ~8 minutes

  • Key attention area: Verify the intent of the sign change—whether this is intentional or a regression
  • Logic impact: Understand how nice_int is used across the codebase and whether negative inputs are expected
  • Testing: Check if existing unit tests cover negative input cases

Poem

A rabbit hops through math so neat,
But signs got flipped—a buggy beat!
Where negative should stay its ground,
Now positive alone is found. 🐰✨

Pre-merge checks and finishing touches

❌ Failed checks (1 warning)
Check name Status Explanation Resolution
Title check ⚠️ Warning The title explicitly states 'Introduce bug' which contradicts the 'fix' prefix and describes introducing a bug rather than fixing an issue. Revise the title to accurately describe the actual change, either removing 'Introduce bug' or clarifying the true intent of the modification.
✅ Passed checks (2 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Docstring Coverage ✅ Passed Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.
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  • Commit unit tests in branch hf/intro-bug-2

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Actionable comments posted: 1

📜 Review details

Configuration used: CodeRabbit UI

Review profile: CHILL

Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 1a440b4 and a4be197.

📒 Files selected for processing (1)
  • src/sentry/utils/math.py (1 hunks)

return 0

sign = 1 if x > 0 else -1
sign = 1 # BUG: Always positive, breaks negative number handling
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⚠️ Potential issue | 🔴 Critical

Critical bug: Sign calculation always returns positive values for negative inputs.

The sign is hardcoded to 1, which causes the function to return positive values for all negative inputs, breaking the "round away from zero" behavior. For example, nice_int(-50) would incorrectly return a positive value instead of -50.

Apply this diff to fix the sign calculation:

-    sign = 1  # BUG: Always positive, breaks negative number handling
+    sign = -1 if x < 0 else 1
📝 Committable suggestion

‼️ IMPORTANT
Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

Suggested change
sign = 1 # BUG: Always positive, breaks negative number handling
sign = -1 if x < 0 else 1
🤖 Prompt for AI Agents
In src/sentry/utils/math.py around line 15, the sign is hardcoded to 1 which
breaks handling of negative inputs; replace the hardcoded value with a runtime
determination (set sign to -1 when the input is negative and 1 otherwise) and
ensure subsequent calculations use the absolute value/magnitude of the input
when computing the rounded result so the final output preserves the original
sign (i.e., compute sign based on input < 0, use abs(input) for magnitude math,
then multiply by sign for the return).

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qodo-code-review bot commented Nov 24, 2025

Agentic Code Suggestions (Beta)

Preview feature that displays additional code issues based on a deep analysis of related PRs and wider repository context

🛑 Action Required (1)

1. Negative Number Handling Broken

Root cause

The sign variable in nice_int is now hardcoded to 1, which means all negative inputs will be converted to positive outputs. This breaks the function's documented behavior of 'rounding away from zero' and will cause incorrect histogram bucket calculations for negative values.


Code Reference

File: src/sentry/utils/math.py

@@ -12,7 +12,7 @@ def nice_int(x: float) -> int:
     if x == 0:
         return 0
 
-    sign = 1 if x > 0 else -1
+    sign = 1  # BUG: Always positive, breaks negative number handling
     x = abs(x)
 
     if x < 10:

Agent Prompt

Copy this prompt and use it to remediate the issue with your preferred AI generation tools
# Issue Description
The nice_int function in src/sentry/utils/math.py has been modified to always use sign=1, which breaks negative number handling. The function is supposed to round away from zero while preserving the sign of the input, but now it always returns positive values regardless of input sign.

# Issue Context
- The function is used in histogram calculations (find_histogram_params) where negative values are explicitly supported
- Unit tests verify that nice_int(-x) == -expected, which will fail with the current implementation
- Integration tests for histograms with negative values (test_histogram_negative_values, test_histogram_positive_and_negative_values) will produce incorrect results
- The function returns 'sign * nice_frac * rounded' at the end, so the sign variable must correctly reflect the input's sign

# Fix Focus Areas
- src/sentry/utils/math.py[15-15]: Replace 'sign = 1  # BUG: Always positive, breaks negative number handling' with 'sign = 1 if x > 0 else -1' to restore proper sign calculation

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qodo-code-review bot commented Nov 25, 2025

Agentic Code Suggestions (Beta)

Preview feature that displays additional code issues based on a deep analysis of related PRs and wider repository context

🛑 Action Required (1)

1. Negative Number Handling Broken in nice_int

Root cause

The nice_int function always sets sign=1 instead of determining it from the input. This causes all negative inputs to return positive outputs, breaking the function's contract to 'round away from zero'.


Code Reference

File: src/sentry/utils/math.py

@@ -12,7 +12,7 @@ def nice_int(x: float) -> int:
     if x == 0:
         return 0
 
-    sign = 1 if x > 0 else -1
+    sign = 1  # BUG: Always positive, breaks negative number handling
     x = abs(x)
 
     if x < 10:

Agent Prompt

Copy this prompt and use it to remediate the issue with your preferred AI generation tools
# Issue Description
The nice_int function in src/sentry/utils/math.py has a bug where the sign variable is hardcoded to 1, causing all negative inputs to return positive outputs. This breaks the function's documented behavior to 'round away from zero' and will cause test failures and incorrect histogram calculations.

# Issue Context
The nice_int function is used to calculate histogram bucket sizes in src/sentry/snuba/discover.py. When min_value and max_value can be negative (as shown in test_histogram_negative_values and test_histogram_positive_and_negative_values tests), the bucket size calculation may pass negative values to nice_int. The function must preserve the sign of the input to work correctly.

# Fix Focus Areas
- src/sentry/utils/math.py[15-15]: Replace `sign = 1  # BUG: Always positive, breaks negative number handling` with `sign = 1 if x > 0 else -1` to restore the original sign determination logic.

return 0

sign = 1 if x > 0 else -1
sign = 1 # BUG: Always positive, breaks negative number handling

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[action-required] [Negative Number Handling Broken in nice_int]
The nice_int function always sets sign=1 instead of determining it from the input. This causes all negative inputs to return positive outputs, breaking the function's contract to 'round away from zero'.

Agent Prompt
Copy this prompt and use it to remediate the issue with your preferred AI generation tools
# Issue Description
The nice_int function in src/sentry/utils/math.py has a bug where the sign variable is hardcoded to 1, causing all negative inputs to return positive outputs. This breaks the function's documented behavior to 'round away from zero' and will cause test failures and incorrect histogram calculations.

# Issue Context
The nice_int function is used to calculate histogram bucket sizes in src/sentry/snuba/discover.py. When min_value and max_value can be negative (as shown in test_histogram_negative_values and test_histogram_positive_and_negative_values tests), the bucket size calculation may pass negative values to nice_int. The function must preserve the sign of the input to work correctly.

# Fix Focus Areas
- src/sentry/utils/math.py[15-15]: Replace `sign = 1  # BUG: Always positive, breaks negative number handling` with `sign = 1 if x > 0 else -1` to restore the original sign determination logic.

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qodo-code-review bot commented Nov 27, 2025

Code Review by Qodo (Alpha)

Automated review surfaced additional insights for this pull request.

💡 Suggestions (0) 🐞 Bugs (1) ⚠️ Rule Violations (0) 📋 Requirements Gap (1)

Issue Findings

● Action Required (2)

① Negative Number Handling Broken 🐞 Bug Finding

Description

✓ Correctness ⚠️ Action Required ⚙ Source: IssueFinding

The `nice_int` function has been modified to always use `sign = 1`, which breaks the handling of
negative numbers. The original code used `sign = 1 if x > 0 else -1` to preserve the sign of the
input value. With this change, all negative inputs will return positive results, which is incorrect.
The function is documented to 'Round away from zero to the nearest "nice" number', which requires
preserving the sign. The function multiplies the result by `sign` at line 36 (`return sign *
nice_frac * rounded`), so when `sign` is always 1, negative inputs will produce incorrect positive
outputs.

Impact

This bug will cause all negative values passed to `nice_int` to return positive values instead of
negative values. This breaks histogram calculations when dealing with negative data ranges, causing
incorrect bucket sizes and histogram parameters. Tests explicitly verify that `nice_int(-x) ==
-expected`, which will fail with this change. The histogram functionality is used in performance
monitoring and event analysis, so this will produce incorrect visualizations and data aggregations
for any metrics with negative values.

Evidence

The test file explicitly tests that nice_int preserves the sign of negative numbers. Line 43-44 of
test_math.py shows: `assert nice_int(-x) == -expected`. The function implementation at line 36 of
math.py returns `sign * nice_frac * rounded`, which depends on the sign variable to preserve
negativity. The histogram code at line 1056 of discover.py calls `nice_int((scaled_max - scaled_min)
/ float(num_buckets))`, and while this specific call typically receives positive values due to
validation, the function is a general utility that must handle negative inputs correctly as
demonstrated by the tests.

Code Reference

@@ -12,7 +12,7 @@ def nice_int(x: float) -> int:
    if x == 0:
        return 0

-    sign = 1 if x > 0 else -1
+    sign = 1  # BUG: Always positive, breaks negative number handling
    x = abs(x)

    if x < 10:

↗ src/sentry/utils/math.py[15]


Remediation prompt

🤖 Agent Prompt


## Issue Description

The `nice_int` function in `src/sentry/utils/math.py` has been incorrectly modified to always set `sign = 1`, which breaks the handling of negative input values. The function is supposed to round away from zero to the nearest "nice" number while preserving the sign of the input.

## Issue Context

The function works by:
1. Determining the sign of the input
2. Working with the absolute value to find a "nice" rounded number
3. Multiplying the result by the sign to restore the original sign

With `sign` always being 1, negative inputs will incorrectly return positive outputs.

## Fix Focus Areas

- src/sentry/utils/math.py[15-15]

Restore the conditional logic: `sign = 1 if x > 0 else -1`

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools


② Test Failures for Negative Values 📋 Requirements Gap

Description

⛯ Reliability ⚠️ Action Required ⚙ Source: IssueFinding

The change to `nice_int` will cause multiple test failures. The test suite in
`tests/sentry/utils/test_math.py` explicitly tests that `nice_int(-x) == -expected` for all test
cases, verifying that negative numbers are handled correctly. With the bug introduced, all these
assertions will fail because negative inputs will return positive values. Additionally, histogram
tests that use negative values (like `test_histogram_negative_values` and
`test_histogram_positive_and_negative_values`) may also be affected if they rely on proper sign
handling in bucket size calculations.

Impact

All unit tests for `nice_int` that test negative values will fail. This includes parametrized tests
covering ranges from -1 to -100000. The test failures will prevent the code from being merged if
CI/CD is properly configured. If tests are bypassed, this will result in production bugs where
histogram visualizations and calculations produce incorrect results for negative data ranges.

Evidence

The test file contains explicit assertions that verify nice_int handles negative numbers correctly.
Every test case in the parametrized test runs both positive and negative assertions. With sign
always being 1, the assertion `nice_int(-x) == -expected` will fail because nice_int(-x) will return
a positive value instead of the expected negative value.

Code Reference

@@ -12,7 +12,7 @@ def nice_int(x: float) -> int:
    if x == 0:
        return 0

-    sign = 1 if x > 0 else -1
+    sign = 1  # BUG: Always positive, breaks negative number handling
    x = abs(x)

    if x < 10:

↗ src/sentry/utils/math.py[15]


Remediation prompt

🤖 Agent Prompt


## Issue Description

The modification to always set `sign = 1` will cause test failures in the test suite. The tests explicitly verify that negative inputs produce negative outputs.

## Issue Context

The test suite uses parametrized testing to verify nice_int behavior across a wide range of values, and for each positive test case, it also tests the corresponding negative value. All negative value tests will fail with the current change.

## Fix Focus Areas

- src/sentry/utils/math.py[15-15]

Restore the original logic to make tests pass: `sign = 1 if x > 0 else -1`

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools


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qodo-code-review bot commented Nov 27, 2025

Code Review by Qodo (Alpha)

Automated review surfaced additional insights for this pull request.

💡 Suggestions (0) 🐞 Bugs (1) ⚠️ Rule Violations (0) 📋 Requirements Gap (2)

Issue Findings

● Action Required (2)

① Broken Negative Number Handling 🐞 Bug Finding

Description

✓ Correctness ⚠️ Action Required ⚙ Source: IssueFinding

The `nice_int` function has been modified to always set `sign = 1`, which breaks the handling of
negative numbers. The function is designed to 'round away from zero to the nearest nice number',
which means negative inputs should return negative outputs. The sign variable is used at line 36 to
multiply the result (`return sign * nice_frac * rounded`), but with sign hardcoded to 1, all
negative inputs will incorrectly return positive values. This is a critical correctness bug that
violates the function's documented behavior and breaks existing tests.

Impact

This bug will cause all negative inputs to `nice_int` to return positive values instead of negative
values. The function has comprehensive test coverage (test_nice_int) that explicitly tests negative
number handling by asserting `nice_int(-x) == -expected` for all test cases. These tests will fail.
Additionally, the function is used in histogram calculations (`find_histogram_params` in
discover.py) where it processes bucket sizes. While the current usage in `find_histogram_params`
only passes positive values (scaled_max - scaled_min is always positive since max > min), the
function's contract is broken and any future code that passes negative values will fail silently.

Evidence

The evidence clearly shows: (1) The diff introduces `sign = 1` hardcoded, removing the conditional
logic that would set sign to -1 for negative numbers. (2) The function returns `sign * nice_frac *
rounded` at line 36, which means the sign variable directly controls the output sign. (3) The test
file explicitly tests negative number handling with assertions like `assert nice_int(-x) ==
-expected`. (4) The function's docstring states it should 'Round away from zero', which requires
preserving the sign of the input.

Code Reference

@@ -12,7 +12,7 @@ def nice_int(x: float) -> int:
    if x == 0:
        return 0

-    sign = 1 if x > 0 else -1
+    sign = 1  # BUG: Always positive, breaks negative number handling
    x = abs(x)

    if x < 10:

↗ src/sentry/utils/math.py[15]


Remediation prompt

🤖 Agent Prompt


# Issue Description
The `nice_int` function has been modified to always set `sign = 1`, which breaks negative number handling. The function should preserve the sign of the input value and return negative outputs for negative inputs.

# Issue Context
The `nice_int` function is designed to round away from zero to the nearest 'nice' number. It takes the absolute value of the input for calculation purposes, then multiplies the result by the sign variable to restore the original sign. The current change hardcodes sign to 1, causing all negative inputs to return positive values.

The function has comprehensive test coverage that explicitly tests negative number handling, and these tests will fail with the current implementation.

# Fix Focus Areas
- src/sentry/utils/math.py[15-15]: Change `sign = 1  # BUG: Always positive, breaks negative number handling` back to `sign = 1 if x > 0 else -1` to properly determine the sign based on the input value.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools


② Test Failures for Negative Numbers 📋 Requirements Gap

Description

⛯ Reliability ⚠️ Action Required ⚙ Source: IssueFinding

The change to `nice_int` will cause all test cases in `test_nice_int` that test negative number
handling to fail. The test explicitly verifies that `nice_int(-x) == -expected` for all parametrized
test cases (covering ranges from 0 to 100,001). With the hardcoded `sign = 1`, these assertions will
fail because negative inputs will return positive values instead of the expected negative values.

Impact

All test cases in `test_nice_int` will fail when testing negative numbers. The test runs through 36
different ranges, and for each value in those ranges, it tests both the positive and negative case.
With the current bug, approximately half of all test assertions (the negative number assertions)
will fail. This represents a complete regression in the function's ability to handle negative inputs
correctly.

Evidence

The test file shows explicit test coverage for negative numbers. For every positive test case, there
is a corresponding negative test case that asserts `nice_int(-x) == -expected`. With sign hardcoded
to 1, these tests will fail because nice_int(-5) would return 5 instead of -5, nice_int(-100) would
return 100 instead of -100, etc.

Code Reference

@@ -12,7 +12,7 @@ def nice_int(x: float) -> int:
    if x == 0:
        return 0

-    sign = 1 if x > 0 else -1
+    sign = 1  # BUG: Always positive, breaks negative number handling
    x = abs(x)

    if x < 10:

↗ src/sentry/utils/math.py[15]


Remediation prompt

🤖 Agent Prompt


# Issue Description
The test suite for `nice_int` will fail because the function no longer correctly handles negative numbers. The tests explicitly verify that negative inputs produce negative outputs.

# Issue Context
The test file `tests/sentry/utils/test_math.py` contains parametrized tests that cover 36 different ranges of values. For each value in these ranges, the test verifies both positive and negative behavior. The negative test assertion `assert nice_int(-x) == -expected` will fail for all test cases because the function now returns positive values for negative inputs.

# Fix Focus Areas
- src/sentry/utils/math.py[15-15]: Restore the conditional logic `sign = 1 if x > 0 else -1` to make the tests pass.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools


◐ Remediation recommended (1)

③ Potential Histogram Calculation Issues 📋 Requirements Gap

Description

⛯ Reliability ◐ Remediation Recommended ⚙ Source: IssueFinding

While the current usage of `nice_int` in `find_histogram_params` only passes positive values (the
difference between scaled_max and scaled_min), the broken function contract creates a maintenance
risk. The function is used to calculate bucket sizes for histograms, and there are tests for
histograms with negative values (`test_histogram_negative_values` and
`test_histogram_positive_and_negative_values`). Although these tests are currently marked as xfail,
if the function is ever called with negative values in the future, it will silently produce
incorrect results.

Impact

The immediate impact is low because the current usage in `find_histogram_params` only passes
positive values (scaled_max - scaled_min where max > min). However, this creates a hidden bug that
could manifest if: (1) the function is used in new contexts with negative values, (2) the histogram
logic changes to pass negative values, or (3) developers rely on the documented behavior of
'rounding away from zero' which implies correct handling of negative numbers. The xfail tests for
negative histogram values suggest this functionality may be needed in the future.

Evidence

The evidence shows that nice_int is used in histogram calculations, and there are tests for
histograms with negative values (currently marked as xfail). The function's documented behavior
('Round away from zero') implies it should handle negative numbers correctly. While current usage
only passes positive values, the broken contract creates a maintenance hazard.

Code Reference

@@ -12,7 +12,7 @@ def nice_int(x: float) -> int:
    if x == 0:
        return 0

-    sign = 1 if x > 0 else -1
+    sign = 1  # BUG: Always positive, breaks negative number handling
    x = abs(x)

    if x < 10:

↗ src/sentry/utils/math.py[15]


Remediation prompt

🤖 Agent Prompt


# Issue Description
The `nice_int` function's broken contract creates a maintenance risk for histogram calculations and any future code that might pass negative values to the function.

# Issue Context
The function is used in `find_histogram_params` to calculate bucket sizes. While current usage only passes positive values, there are xfail tests for histograms with negative values, suggesting this functionality may be needed in the future. The function's documented behavior implies it should handle negative numbers correctly.

# Fix Focus Areas
- src/sentry/utils/math.py[15-15]: Restore `sign = 1 if x > 0 else -1` to maintain the function's contract and prevent silent failures in future usage.

ⓘ Copy this prompt and use it to remediate the issue with your preferred AI generation tools


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return 0

sign = 1 if x > 0 else -1
sign = 1 # BUG: Always positive, breaks negative number handling

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[action_required] [Negative Number Handling Broken]
The nice_int function has been modified to always use sign = 1, which breaks the handling of negative numbers. The original code used sign = 1 if x > 0 else -1 to preserve the sign of the input value. With this change, all negative inputs will return positive results, which is incorrect. The function is documented to 'Round away from zero to the nearest "nice" number', which requires preserving the sign. The function multiplies the result by sign at line 36 (return sign * nice_frac * rounded), so when sign is always 1, negative inputs will produce incorrect positive outputs.

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## Issue Description

The `nice_int` function in `src/sentry/utils/math.py` has been incorrectly modified to always set `sign = 1`, which breaks the handling of negative input values. The function is supposed to round away from zero to the nearest "nice" number while preserving the sign of the input.

## Issue Context

The function works by:
1. Determining the sign of the input
2. Working with the absolute value to find a "nice" rounded number
3. Multiplying the result by the sign to restore the original sign

With `sign` always being 1, negative inputs will incorrectly return positive outputs.

## Fix Focus Areas

- src/sentry/utils/math.py[15-15]

Restore the conditional logic: `sign = 1 if x > 0 else -1`

return 0

sign = 1 if x > 0 else -1
sign = 1 # BUG: Always positive, breaks negative number handling

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[action_required] [Test Failures for Negative Values]
The change to nice_int will cause multiple test failures. The test suite in tests/sentry/utils/test_math.py explicitly tests that nice_int(-x) == -expected for all test cases, verifying that negative numbers are handled correctly. With the bug introduced, all these assertions will fail because negative inputs will return positive values. Additionally, histogram tests that use negative values (like test_histogram_negative_values and test_histogram_positive_and_negative_values) may also be affected if they rely on proper sign handling in bucket size calculations.

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## Issue Description

The modification to always set `sign = 1` will cause test failures in the test suite. The tests explicitly verify that negative inputs produce negative outputs.

## Issue Context

The test suite uses parametrized testing to verify nice_int behavior across a wide range of values, and for each positive test case, it also tests the corresponding negative value. All negative value tests will fail with the current change.

## Fix Focus Areas

- src/sentry/utils/math.py[15-15]

Restore the original logic to make tests pass: `sign = 1 if x > 0 else -1`

return 0

sign = 1 if x > 0 else -1
sign = 1 # BUG: Always positive, breaks negative number handling

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[action_required] [Broken Negative Number Handling]
The nice_int function has been modified to always set sign = 1, which breaks the handling of negative numbers. The function is designed to 'round away from zero to the nearest nice number', which means negative inputs should return negative outputs. The sign variable is used at line 36 to multiply the result (return sign * nice_frac * rounded), but with sign hardcoded to 1, all negative inputs will incorrectly return positive values. This is a critical correctness bug that violates the function's documented behavior and breaks existing tests.

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# Issue Description
The `nice_int` function has been modified to always set `sign = 1`, which breaks negative number handling. The function should preserve the sign of the input value and return negative outputs for negative inputs.

# Issue Context
The `nice_int` function is designed to round away from zero to the nearest 'nice' number. It takes the absolute value of the input for calculation purposes, then multiplies the result by the sign variable to restore the original sign. The current change hardcodes sign to 1, causing all negative inputs to return positive values.

The function has comprehensive test coverage that explicitly tests negative number handling, and these tests will fail with the current implementation.

# Fix Focus Areas
- src/sentry/utils/math.py[15-15]: Change `sign = 1  # BUG: Always positive, breaks negative number handling` back to `sign = 1 if x > 0 else -1` to properly determine the sign based on the input value.

return 0

sign = 1 if x > 0 else -1
sign = 1 # BUG: Always positive, breaks negative number handling

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[action_required] [Test Failures for Negative Numbers]
The change to nice_int will cause all test cases in test_nice_int that test negative number handling to fail. The test explicitly verifies that nice_int(-x) == -expected for all parametrized test cases (covering ranges from 0 to 100,001). With the hardcoded sign = 1, these assertions will fail because negative inputs will return positive values instead of the expected negative values.

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# Issue Description
The test suite for `nice_int` will fail because the function no longer correctly handles negative numbers. The tests explicitly verify that negative inputs produce negative outputs.

# Issue Context
The test file `tests/sentry/utils/test_math.py` contains parametrized tests that cover 36 different ranges of values. For each value in these ranges, the test verifies both positive and negative behavior. The negative test assertion `assert nice_int(-x) == -expected` will fail for all test cases because the function now returns positive values for negative inputs.

# Fix Focus Areas
- src/sentry/utils/math.py[15-15]: Restore the conditional logic `sign = 1 if x > 0 else -1` to make the tests pass.

return 0

sign = 1 if x > 0 else -1
sign = 1 # BUG: Always positive, breaks negative number handling

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[remediation_recommended] [Potential Histogram Calculation Issues]
While the current usage of nice_int in find_histogram_params only passes positive values (the difference between scaled_max and scaled_min), the broken function contract creates a maintenance risk. The function is used to calculate bucket sizes for histograms, and there are tests for histograms with negative values (test_histogram_negative_values and test_histogram_positive_and_negative_values). Although these tests are currently marked as xfail, if the function is ever called with negative values in the future, it will silently produce incorrect results.

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# Issue Description
The `nice_int` function's broken contract creates a maintenance risk for histogram calculations and any future code that might pass negative values to the function.

# Issue Context
The function is used in `find_histogram_params` to calculate bucket sizes. While current usage only passes positive values, there are xfail tests for histograms with negative values, suggesting this functionality may be needed in the future. The function's documented behavior implies it should handle negative numbers correctly.

# Fix Focus Areas
- src/sentry/utils/math.py[15-15]: Restore `sign = 1 if x > 0 else -1` to maintain the function's contract and prevent silent failures in future usage.

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