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electricalwith-tool

Crowd Cctv Communications Operations Package

Calculates source-bound security operations metrics from a deterministic SSC-08 task-owned source pack. The template combines queue population, CCTV pixels per metre, storage, communications bandwidth, PoE load, access-state matching, and an overall synthetic pass score.

with-tool: The model is given an executable Python calculator script.

How this task is generated

One template produces many comparable benchmark tasks while keeping the scoring contract fixed.

  1. 01

    Template

    The reusable contract shown on this page.

  2. 02

    Scenario

    An archetype and site context are sampled.

  3. 03

    Difficulty tier

    Inputs may be hidden at harder tiers.

  4. 04

    Task prompt

    The model responds with the declared outputs.

Parameters

Inputs the model receives, and the outputs it is scored on.

Inputs

22 inputs

Always given

Included directly in every task prompt.

22
Show 22 inputs
  • Queue length

    queue_length_m

    QUEUE-08-SCHED-04 queue length

    18 m
  • Queue width

    queue_width_m

    QUEUE-08-SCHED-04 queue width

    3 m
  • Queue density person m2

    queue_density_person_m2

    QUEUE-08-SCHED-04 queue density

    2.2 persons/m2
  • Horizontal pixels

    horizontal_pixels

    CCTV-08-LAYOUT-04 horizontal pixels

    1920 px
  • Camera horizontal field

    camera_horizontal_field_m

    CCTV-08-LAYOUT-04 camera horizontal field

    8 m
  • Required ppm

    required_ppm

    MEMO-08-SECURITY-04 required PPM

    180
  • Camera count

    camera_count

    CCTV-08-LAYOUT-04 camera count

    6
  • Camera bitrate

    camera_bitrate_mbps

    CCTV-08-LAYOUT-04 camera bitrate

    4 Mbps
  • Retention

    retention_days

    MEMO-08-SECURITY-04 retention days

    21 days
  • Storage overhead factor

    storage_overhead_factor

    MEMO-08-SECURITY-04 storage overhead factor

    1.15
  • Access network

    access_network_mbps

    NET-08-TOPO-04 access network load

    2.5 Mbps
  • Intercom network

    intercom_network_mbps

    NET-08-TOPO-04 intercom network load

    1.2 Mbps
  • Network overhead percent

    network_overhead_percent

    NET-08-TOPO-04 network overhead

    20 %
  • Uplink capacity

    uplink_capacity_mbps

    NET-08-TOPO-04 uplink capacity

    60 Mbps
  • Camera poe

    camera_poe_w

    POE-08-SWITCH-04 camera PoE load

    13 W
  • Access controller count

    access_controller_count

    ACCESS-08-STATE-04 access controller count

    4
  • Access controller poe

    access_controller_poe_w

    POE-08-SWITCH-04 access controller PoE load

    8 W
  • Intercom count

    intercom_count

    ACCESS-08-STATE-04 intercom count

    3
  • Intercom poe

    intercom_poe_w

    POE-08-SWITCH-04 intercom PoE load

    10 W
  • Poe budget

    poe_budget_w

    POE-08-SWITCH-04 PoE budget

    180 W
  • Matching access states

    matching_access_states

    ACCESS-08-STATE-04 matching access states

    5
  • Required access states

    required_access_states

    ACCESS-08-STATE-04 required access states

    5

Scored outputs

10 outputs

Queue population persons

queue_population_persons

Queue population from area and density

Scores if within ±3% of the reference value.

Cctv pixels per

cctv_pixels_per_m

CCTV pixels per metre

Scores if within ±3% of the reference value.

Ppm margin

ppm_margin

Pixels-per-metre margin

Scores if within ±3% of the reference value.

Cctv storage tb

cctv_storage_tb

CCTV storage requirement

Scores if within ±3% of the reference value.

Network load mbps

network_load_mbps

Network load with overhead

Scores if within ±3% of the reference value.

Network headroom mbps

network_headroom_mbps

Uplink capacity minus network load

Scores if within ±3% of the reference value.

Poe load w

poe_load_w

PoE load

Scores if within ±3% of the reference value.

Poe headroom w

poe_headroom_w

PoE budget minus PoE load

Scores if within ±3% of the reference value.

Access state match fraction

access_state_match_fraction

Matching access states divided by required access states

Scores if within ±0.3% of the reference value.

Overall pass score

overall_pass_score

1.0 when security operations checks pass

Scores if within ±0.1% of the reference value.

Difficulty

Each template is sampled at three tiers. Harder tiers may hide inputs, forcing the model to infer them from the scenario description.

All inputs remain visible at every tier

For this template, difficulty scales through parameter and scenario ranges rather than hidden information.

easy:
All source-pack values given for the SSC-08 security operations package
medium:
All source-pack values given for the SSC-08 security operations package
hard:
All source-pack values given for the SSC-08 security operations package

Task bundle

The exact instruction and parameter contract used to generate this task, pinned to the published library source.

/workspace

  • instruction.md
  • crowd-cctv-communications-operations-package_calc.py

Teal lines show Jinja input conditions, not task visibility policy. A line renders only when that input or tool is visible.

1You are an electrical/security engineer checking a task-owned synthetic SSC-08 crowd, CCTV, and communications operations package.2 3Use only the task-owned synthetic source pack values shown below for numeric grading. External queue, CCTV coverage, video retention, communications, PoE, and access-control workflows shape the practice context only; they are not extra data sources for this instance.4 5## Scene6 7- Product family: `SSC-08-LH-04`8- Population and queue schedule: `QUEUE-08-SCHED-04`9- Camera layout: `CCTV-08-LAYOUT-04`10- Network topology: `NET-08-TOPO-04`11- PoE switch schedule: `POE-08-SWITCH-04`12- Access-control state table: `ACCESS-08-STATE-04`13- Security operations memo: `MEMO-08-SECURITY-04`14 15## Source Values16 17| Item | Value |18|------|-------|19| Queue length | {{ queue_length_m }} m |20| Queue width | {{ queue_width_m }} m |21| Queue density | {{ queue_density_person_m2 }} persons/m2 |22| Horizontal pixels | {{ horizontal_pixels }} px |23| Camera horizontal field | {{ camera_horizontal_field_m }} m |24| Required PPM | {{ required_ppm }} |25| Camera count | {{ camera_count }} |26| Camera bitrate | {{ camera_bitrate_mbps }} Mbps |27| Retention days | {{ retention_days }} days |28| Storage overhead factor | {{ storage_overhead_factor }} |29| Access network load | {{ access_network_mbps }} Mbps |30| Intercom network load | {{ intercom_network_mbps }} Mbps |31| Network overhead | {{ network_overhead_percent }} percent |32| Uplink capacity | {{ uplink_capacity_mbps }} Mbps |33| Camera PoE load | {{ camera_poe_w }} W |34| Access controller count | {{ access_controller_count }} |35| Access controller PoE load | {{ access_controller_poe_w }} W |36| Intercom count | {{ intercom_count }} |37| Intercom PoE load | {{ intercom_poe_w }} W |38| PoE budget | {{ poe_budget_w }} W |39| Matching access states | {{ matching_access_states }} |40| Required access states | {{ required_access_states }} |41 42## Checks43 44- Queue population equals queue length times queue width times queue density.45- CCTV pixels per metre equals horizontal pixels divided by camera horizontal field.46- PPM margin equals CCTV PPM minus required PPM.47- CCTV storage equals total bitrate times retention duration, converted to decimal TB, times storage overhead factor.48- Network load equals CCTV, access, and intercom load with network overhead.49- Network headroom equals uplink capacity minus network load.50- PoE load equals camera, access-controller, and intercom PoE loads.51- Access-state match fraction equals matching access states divided by required states.52- Overall pass score is `1.0` only when PPM, network, PoE, and access-state checks pass; otherwise it is `0.0`.53 54## Output Format55 56Write a compact security operations memo to `/workspace/output.md`. Include a source-boundary statement that this is a task-owned synthetic source pack. Preserve the object IDs above and state whether the baseline source pack passes the current docs-only checks.57 58Do not claim authority approval, accepted project evidence, software export validity, full standards compliance, executable real source-pack parsing, generated benchmark readiness, or benchmark readiness.59 60Include a fenced JSON block with exactly these numeric keys:61 62```json63{64 "queue_population_persons": <numeric_value>,65 "cctv_pixels_per_m": <numeric_value>,66 "ppm_margin": <numeric_value>,67 "cctv_storage_tb": <numeric_value>,68 "network_load_mbps": <numeric_value>,69 "network_headroom_mbps": <numeric_value>,70 "poe_load_w": <numeric_value>,71 "poe_headroom_w": <numeric_value>,72 "access_state_match_fraction": <numeric_value>,73 "overall_pass_score": <numeric_value>74}75```76

Scenario archetypes

Each generated task is drawn from one of these realistic scenario bands.

Site contexts ground each scenario in a real locale the model can use to infer hidden values.

Ssc08 security ops case

ssc08_security_ops_case

Crowd, CCTV, and communications operations case

ssc08-security-operations
Parameter ranges

Example task

ssc08-security-operations-ssc08-security-ops-case-previewhard difficulty, all inputs given.

Crowd, CCTV, and communications operations case. ssc08-security-operations. Required outputs: queue_population_persons, cctv_pixels_per_m, ppm_margin, cctv_storage_tb, network_load_mbps, network_headroom_mbps

The model sees

Scenario context and visible inputs.

queue_length_m
18 to 18 m
queue_width_m
3 to 3 m
queue_density_person_m2
2.2 to 2.2 persons/m2
horizontal_pixels
1920 to 1920 px
camera_horizontal_field_m
8 to 8 m
required_ppm
180 to 180
camera_count
6 to 6
camera_bitrate_mbps
4 to 4 Mbps
retention_days
21 to 21 days
storage_overhead_factor
1.15 to 1.15
access_network_mbps
2.5 to 2.5 Mbps
intercom_network_mbps
1.2 to 1.2 Mbps
network_overhead_percent
20 to 20 %
uplink_capacity_mbps
60 to 60 Mbps
camera_poe_w
13 to 13 W
access_controller_count
4 to 4
access_controller_poe_w
8 to 8 W
intercom_count
3 to 3
intercom_poe_w
10 to 10 W
poe_budget_w
180 to 180 W
matching_access_states
5 to 5
required_access_states
5 to 5

Executable tool: crowd-cctv-communications-operations-package_calc.py

The model must infer

Inputs withheld at this difficulty.

Nothing. All inputs are supplied.

The model must produce

The scored JSON answer schema.

{
  "queue_population_persons": <number>,
  "cctv_pixels_per_m": <number>,
  "ppm_margin": <number>,
  "cctv_storage_tb": <number>,
  "network_load_mbps": <number>,
  "network_headroom_mbps": <number>,
  "poe_load_w": <number>,
  "poe_headroom_w": <number>,
  "access_state_match_fraction": <number>,
  "overall_pass_score": <number>
}
  • queue_population_persons · scored within ±3%
  • cctv_pixels_per_m · scored within ±3%
  • ppm_margin · scored within ±3%
  • cctv_storage_tb · scored within ±3%
  • network_load_mbps · scored within ±3%
  • network_headroom_mbps · scored within ±3%
  • poe_load_w · scored within ±3%
  • poe_headroom_w · scored within ±3%
  • access_state_match_fraction · scored within ±0.3%
  • overall_pass_score · scored within ±0.1%