Switched all RA docs to just link to the evaluation function docs

Author: m-messer

docs/teacher/reference/response_area_components/Boolean.md

@@ -4,7 +4,4 @@ This response area allows students to select True or False.
 
 ## Evaluation Function Options
 
-### `isExactEqual`
-
-Checks if the answer is exactly equal to the response. In this case if the response is True or False.
-The `type` should be set to `bool`, to ensure boolean comparison.
+### [isExactEqual](https://lambda-feedback.github.io/user-documentation/user_eval_function_docs/isExactEqual/)

docs/teacher/reference/response_area_components/Code.md

@@ -4,12 +4,7 @@ This response area allows students to write code for a specified programming lan
 
 ## Evaluation Function Options
 
-### `chatGPT (experimental)`
+### [chatGPT (experimental)](https://github.com/lambda-feedback/chatGPT/blob/main/app/docs/user.md)
 
-Passes the student's response and a teacher written prompt to GPT for evaluation. 
 
-
-### `compareContsructs (experimental)`
-Python Only. Compares console output to a teacher's provided answer and comparing the structure of the teacher's solution to the student provided responses.
-Student functions can also be ran against a set of teacher provided unit tests, if these fails, feedback can be generated by GPT if enabled.
-It also provides feedback on syntax and style.
+### [`compareContsructs (experimental)`](https://github.com/lambda-feedback/compareConstructs/blob/main/docs/user.md)

docs/teacher/reference/response_area_components/Essay.md

@@ -7,6 +7,4 @@ Similar to [!Text](Text.md), allows student's to enter any text input, whether t
 As text supports any input, so most evaluation functions can be used.
 However, there are some text specific evaluation functions, such as shortTextAnswer and chatGPT.
 
-### `chatGPT (experimental)`
-
-Passes the student's response and a teacher written prompt to GPT for evaluation. 
+### [chatGPT (experimental)](https://github.com/lambda-feedback/chatGPT/blob/main/app/docs/user.md)

docs/teacher/reference/response_area_components/Expression.md

@@ -4,30 +4,12 @@ This response area is very similar to [Text](Text.md), differing in that it can
 
 ## Evaluation Function Options
 
-### `isSimilar`
+### [isSimilar](https://lambda-feedback.github.io/user-documentation/user_eval_function_docs/isSimilar/)
 
-Calculates the difference between the teacher answer (ans) and the student response (res); compares this to an allowable difference comprising an absolute tolerance (atol) and a relative tolerance (rtol).
+### [symbolicEqual](https://lambda-feedback.github.io/user-documentation/user_eval_function_docs/symbolicEqual/)
 
-### `symbolicEqual`
+### [compareExpressions](https://lambda-feedback.github.io/user-documentation/user_eval_function_docs/compareExpressions/)
 
-Compares two symbolic expressions for mathematical equivalence, using SymPy. See [SymPy](https://www.sympy.org/en/index.html.md-button) for further information.
-
-## compareExpressions
-**Input Symbols**
-
-This is a powerful feature for defining a dictionary of accepted symbols. For each symbol, you define:
-
-*   **Symbol:** The LaTeX-rendered symbol (e.g., `$f(x)$`).
-*   **Code:** The machine-readable variable name (e.g., `fx`). This is what your students will type and what the evaluation function sees.
-*   **Alternatives:** A list of other codes you want to accept for the same symbol (e.g., `f_x`, `f(x)`, `f`). This allows you to anticipate different ways students might type the same thing.
-*   **Visibility:** A `TRUE`/`FALSE` toggle. If "Display input symbols" is enabled in the Input tab, this setting determines whether a specific symbol is shown to the student. This allows you to show students common symbols while still accepting less common or alternative ones in the background.
-
-![example](screenshots/input_symbols.png)
-![example](screenshots/input_symbols_preview.png)
-
-Tolerances can also be added. These will apply to the numerical parts of the answer (e.g. the $10$ in $10x$).
-
-This is done using the `atol` and `rtol` fields under the Evaluation Function Parameters section.
 
 ## Component Parameters
 

docs/teacher/reference/response_area_components/Matrix.md

@@ -4,13 +4,9 @@ Matrix response area. Will populate the component with a grid of text input fiel
 
 ## Evaluation Function Options
 
-### ArrayEqual
-Evaluation function checks if the supplied response and answer arrays are within the optionally supplied tolerances. This is based on the [numpy.allclose](https://numpy.org/doc/stable/reference/generated/numpy.allclose.html) function. Numpy is a dependancy for this function, but it means that arrays of any shape (regular) can be compared efficiently.
-
-
-### ArraySymbolicEqual
-Very similar to the SymbolicEqual grading function, but grading any list of expressions instead. This algorithm can take any level of nesting for "response" and "answer" fields, as grading is done recursively (as long as both shapes are identical). Symbolic grading is done using the SymPy library. See [SymPy](https://www.sympy.org/en/index.html.md-button) for further information.
+### [ArrayEqual](https://lambda-feedback.github.io/user-documentation/user_eval_function_docs/arrayEqual/)
 
+### [ArraySymbolicEqual](https://lambda-feedback.github.io/user-documentation/user_eval_function_docs/arraySymbolicEqual/)
 
 ## Component Parameters 
 ### `rows and cols` (required)

docs/teacher/reference/response_area_components/MultipleChoice.md

@@ -4,8 +4,7 @@ General multiple choice response area. Features multiple options for single answ
 
 ## Evaluation Function Options
 
-### ArrayEqual
-Evaluation function checks if the supplied response and answer arrays are within the optionally supplied tolerances. This is based on the [numpy.allclose](https://numpy.org/doc/stable/reference/generated/numpy.allclose.html) function. Numpy is a dependancy for this function, but it means that arrays of any shape (regular) can be compared efficiently.
+### [ArrayEqual](https://lambda-feedback.github.io/user-documentation/user_eval_function_docs/arrayEqual/)
 
 ## Parameters 
 ### `options` (required)

docs/teacher/reference/response_area_components/Number.md

@@ -4,11 +4,9 @@ Very similar to the [Text](Text.md) response area, except the user response is p
 
 ## Evaluation Function Options
 
-### `isSimilar`
-Calculates the difference between the teacher answer (ans) and the student response (res); compares this to an allowable difference comprising an absolute tolerance (atol) and a relative tolerance (rtol). 
+### [isSimilar](https://lambda-feedback.github.io/user-documentation/user_eval_function_docs/isSimilar/)
 
-### `isExactEqual`
-A strict comparison in Python using '=='. This function is a basic utility but often not the function you really want to use because it is quite brittle.
+### [isExactEqual](https://lambda-feedback.github.io/user-documentation/user_eval_function_docs/isExactEqual/)
 
 ## Setting The Answer
 

docs/teacher/reference/response_area_components/NumericUnits.md

@@ -4,6 +4,10 @@ Provides two input fields with `Number` and `Units` placeholder texts. This area
 
 **Note:** this area will display how the user's response was interpred using the `interp_string` field provided in the feedback object returned by that function (if it exists).
 
+## Evaluation Function Options
+
+### [compareExpressions](https://lambda-feedback.github.io/user-documentation/user_eval_function_docs/compareExpressions/)
+
 ## Component Parameters 
 ### `pre_response_text` & `post_response_text` (optional)
 Text block to be displayed to the left and right of the input field respectively. Markdown and LaTeX are allowed following the usual syntax.

docs/teacher/reference/response_area_components/Table.md

@@ -5,13 +5,9 @@ Table response area. Will populate the component with a grid of text input field
 
 ## Evaluation Function Options
 
-### ArrayEqual
-Evaluation function checks if the supplied response and answer arrays are within the optionally supplied tolerances. This is based on the [numpy.allclose](https://numpy.org/doc/stable/reference/generated/numpy.allclose.html) function. Numpy is a dependancy for this function, but it means that arrays of any shape (regular) can be compared efficiently.
-
-
-### ArraySymbolicEqual
-Very similar to the SymbolicEqual grading function, but grading any list of expressions instead. This algorithm can take any level of nesting for "response" and "answer" fields, as grading is done recursively (as long as both shapes are identical). Symbolic grading is done using the SymPy library. See [SymPy](https://www.sympy.org/en/index.html.md-button) for further information.
+### [ArrayEqual](https://lambda-feedback.github.io/user-documentation/user_eval_function_docs/arrayEqual/)
 
+### [ArraySymbolicEqual](https://lambda-feedback.github.io/user-documentation/user_eval_function_docs/arraySymbolicEqual/)
 
 ## Component Parameters 
 

docs/teacher/reference/response_area_components/Text.md

@@ -7,9 +7,6 @@ Allows student's to enter any text input, whether that be prose, math, code or a
 As text supports any input, any evaluation function can be used.
 However, there are some text specific evaluation functions, such as shortTextAnswer and chatGPT.
 
-### `chatGPT (experimental)`
+### [chatGPT (experimental)](https://github.com/lambda-feedback/chatGPT/blob/main/app/docs/user.md)
 
-Passes the student's response and a teacher written prompt to GPT for evaluation. 
-
-### `shortTextAnswer (experimental)`
-Uses natural language processing techniques to calculate the similarity between a student's response and a teacher's answer, using semantic similarity.  
+###[ shortTextAnswer (experimental)](https://github.com/lambda-feedback/shortTextAnswer/blob/main/app/docs/user.md)