Геометрические свойства прямоугольника и его диагоналей
**Analyzing the Task**
I'm currently breaking down the task to calculate the 'Context Specificity' score. The input includes "Garment" as the product category. I need to consider how to quantify the 'context' related to this category and define the components of the score. My approach is to identify elements to weight and how to aggregate them.
**Evaluating Context Specificity**
I'm now diving into the scoring rules. I need to determine how to identify and apply the +0.3, +0.2, and other point values for each context type: physical, user, task, and social. I'm focusing on defining clear keyword detection strategies within the content to make this process more precise. The "Garment Racks" context seems straightforward.
```json
{
"aspect": "Performance",
"context_specificity": 0.4,
"physical_kw": "",
"user_kw": "commute",
"task_kw": "",
"social_kw": ""
}
```
**Clarifying Aspect Presence**
I'm now revisiting the "Performance" aspect within the context. I've realized I need to determine if "Performance" is *conceptually* present, even if the literal word isn't. I'll need to define how to recognize "Performance" through related vocabulary, such as "sturdy" or "easy to roll" in the content. My immediate task is to develop a robust system to do so, to make a clear decision about returning an empty JSON object.
**Refining Keyword Matching**
I'm now revising my keyword detection strategy. Initially, I focused on the literal presence of "Performance," but I've realized this is overly restrictive. Based on example analysis and user instructions, I'm now evaluating a more concept-based approach, and will return {} if the aspect keyword is not literally found.
**Defining the Aspect's Presence**
I'm now focusing on whether I can confidently consider "Performance" as present, even without the literal word. Based on the prompt, it appears the aim is a literal match. The instructions and examples indicate that if the `aspect_prompt` word itself isn't present, I should return an empty JSON object. It's a binary decision: present or absent, based on the `aspect_prompt` text.
**Confirming Literal Matching**
After further analysis of the examples, it's clear the solution requires literal presence of the `aspect_prompt` text. Given that "Performance" isn't present in the content, I will now return `{}` as instructed.
**Revisiting Literal vs. Conceptual**
I'm now revisiting the core challenge: should I match the literal presence of "Performance" or its conceptual meaning? The examples suggest a literal match is required for the empty JSON object return. I will base the final output on this.
\\n\\n**Confirming Context Application**
Based on the instructions, I've confirmed that the only step left is to return `{}`. I'll make sure my code reflects this rule.
**Concluding the Analysis**
I've made the decision to return `{}`. I've re-examined the prompt and examples. The instructions are clear that literal presence of the `aspect_prompt` is required. Since "Performance" isn't present, the calculation is skipped. This strategy follows the logic of Example 2.
**Confirming the Literal Match**
I've decided to return `{}`. I'm now certain about the literal matching based on the instructions. The absence of "Performance" necessitates the empty object, solidifying the application of rule interpretation.
**Refining Decision-Making**
I've re-examined the prompt, the examples, and the specific wording. Given the explicit requirement for literal `aspect_prompt` presence, my decision to return `{}` is confirmed. My analysis aligns with the user's focus on literal matching.
**Finalizing the Strategy**
After extensive review, I've confirmed that the only possible action is to return `{}`. I've re-examined all examples, and it's clear that only a literal match for `aspect_prompt` triggers calculation. I'm now certain of the final output.
**Finalizing Decision Logic**
I'm now fully committed to the literal match. Considering all aspects, it's evident that I'll return `{}`. I'm confident about following the established pattern. My decision reflects a commitment to the instructed behavior.
