## Test Files Overview

### 1. ExtractorResourceManagementTest.java
**Purpose**: Verify proper resource management in Extractor implementations.

**Key Test Areas**:
- Resource closure on successful extraction (MS Office extractors)
- Resource closure on failed extraction
- Improved error messages with context
- Input validation using `validateInputStream()`

**Covered Extractors**:

This has a number of negative effects on productivity, including:

- Unclear ownership of code.
- Difficult to focus on one particular area.
- Unintended coupling between areas of the code, including tests.

## Decision

Organize the Gradle code base into a set of coarse-grained "architecture modules".

# Do not use swap at all
vm.swappiness=0
vm.vfs_cache_pressure=50

# Start writeback at 3% memory
vm.dirty_background_ratio=3
# Force writeback at 10% memory
vm.dirty_ratio=10

# Quite a few memory map
# areas may be consumed
vm.max_map_count=524288

# Default is 500000 = 0.5ms
kernel.sched_migration_cost_ns=5000000

# stalled hdd io threads
kernel.hung_task_timeout_secs=85

# network tuning for bigger throughput

### Migration and Enforcement

* **New code**: All new contributions must use American English
* **Existing code**: British English spellings in existing code should be updated opportunistically when those areas are modified, unless constrained by backward compatibility
* **Documentation**: Documentation should be updated to use American English, prioritizing user-facing documentation

    for (int i = 0; i < 11; i++) {
      limiter.acquire(); // #7, showing off the warmup starting from totally cold
    }

    // make sure the areas (times) remain the same, while permits are different
    assertEvents(
        "R0.00, R1.38, R1.13, R0.88, R0.63, R0.50, R0.50, R0.50", // #1
        "U4.50", // #2

    for (int i = 0; i < 11; i++) {
      limiter.acquire(); // #7, showing off the warmup starting from totally cold
    }

    // make sure the areas (times) remain the same, while permits are different
    assertEvents(
        "R0.00, R1.38, R1.13, R0.88, R0.63, R0.50, R0.50, R0.50", // #1
        "U4.50", // #2

Including how to handle lifespan state that can be used in other areas of your code.

///

## Sub Applications { #sub-applications }

Incluindo como lidar com estado do lifespan que pode ser usado em outras áreas do seu código.

///

## Sub Aplicações { #sub-applications }

Incluyendo cómo manejar el estado de lifespan que puede ser usado en otras áreas de tu código.

///

## Sub Aplicaciones { #sub-applications }

`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the
inherent ones from multitenant configurations. The primary areas of concern are
tenant isolation, resource allocation, model sharing and hardware attacks.

### Tenant isolation

Since any tenants or users providing models, graphs or checkpoints can execute