add variables!
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README.md
13
README.md
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@ -102,20 +102,27 @@ Conceptually clearer to have all the multiplications first and then all the divi
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- [x] Add show more info version
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- [x] Scalar multiplication and division
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- [ ] Program into a small device, like a calculator?
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- [ ] Think of some way of calling bc
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- [ ] Think how to integrate with squiggle.c to draw samples
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- [-] Think of some way of calling bc
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- [x] Think how to integrate with squiggle.c to draw samples
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- [x] Copy the time to botec go code
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- [ ] Define samplers
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- [ ] Call those samplers when operating on distributions that can't be operted on algebraically
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- [ ] Think about how to draw a histogram from samples
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- [x] Display output more nicely, with K/M/B/T
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- [ ] Consider the following: make this into a stack-based DSL, with:
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- Variables that can be saved to and then displayed
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- Other types of distributions, particularly beta distributions? => But then this requires moving to bags of samples. It could still be ~instantaneous though.
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- Figure out syntax for
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- Maps
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- Joint types
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- Enums
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Some possible syntax for a more expressive stack-based DSL
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```
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1B to 20B
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* 1 to 100
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/ beta(1, 2)
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/ beta 1 2 # or b 1 2
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=: x # content of the stack at this point saved into x
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1 to 10
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29
f2.go
29
f2.go
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@ -31,7 +31,7 @@ func parseLineErr(err_msg string) (string, Dist, error) {
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fmt.Println(err_msg)
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return "", Dist{}, errors.New(err_msg)
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}
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func parseLine(line string) (string, Dist, error) {
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func parseLine(line string, vars map[string]Dist) (string, Dist, error) {
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words := strings.Split(strings.TrimSpace(line), " ")
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op := ""
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@ -56,11 +56,16 @@ func parseLine(line string) (string, Dist, error) {
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case 0:
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return parseLineErr("Operator must have operand; can't operate on nothing")
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case 1:
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var_word, var_word_exists := vars[words[0]]
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single_float, err1 := strconv.ParseFloat(words[0], 64)
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if err1 != nil {
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return parseLineErr("Trying to operate on a scalar, but scalar is not a float")
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switch {
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case var_word_exists:
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dist = var_word
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case err1 == nil:
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dist = Dist{Type: "Lognormal", Lognormal: Lognormal{low: single_float, high: single_float}, Samples: nil}
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case err1 != nil && !var_word_exists:
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return parseLineErr("Trying to operate on a scalar, but scalar is neither a float nor a variable")
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}
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dist = Dist{Type: "Lognormal", Lognormal: Lognormal{low: single_float, high: single_float}, Samples: nil}
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case 2:
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new_low, err1 := strconv.ParseFloat(words[0], 64)
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new_high, err2 := strconv.ParseFloat(words[1], 64)
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@ -105,7 +110,7 @@ func joinDists(old_dist Dist, new_dist Dist, op string) (Dist, error) {
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default:
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fmt.Printf("For now, can't do anything besides multiplying lognormals\n")
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}
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return old_dist, errors.New("Error blah blah")
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return old_dist, errors.New("Can't combine distributions in this way")
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}
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/* Pretty print distributions */
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@ -157,6 +162,9 @@ func prettyPrintDist(dist Dist) {
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func main() {
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reader := bufio.NewReader(os.Stdin)
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old_dist := Dist{Type: "Lognormal", Lognormal: Lognormal{low: 1, high: 1}, Samples: nil} // Could also just be a scalar
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vars := make(map[string]Dist)
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// Could eventually be a more complex struct with:
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// { Dist, VariableMaps, ConfigParams } or smth
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// fmt.Printf("Hello world")
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EventForLoop:
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@ -175,17 +183,22 @@ EventForLoop:
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fmt.Println(general_err_msg)
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continue EventForLoop
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case words[0] == "debug" || words[0] == "d":
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fmt.Printf("%v\n", old_dist)
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fmt.Printf("Old dist: %v\n", old_dist)
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fmt.Printf("Vars: %v\n", vars)
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continue EventForLoop
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case words[0] == "=:" && len(words) == 2:
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// fmt.Println("Variables not yet implemented")
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vars[words[1]] = old_dist // is this a copy?
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continue EventForLoop
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// Other possible cases:
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// Save to file
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// Sample n samples
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// Save stack to a variable?
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// Define a function? No, too much of a nerdsnipe
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// Define a function? No, too much of a nerdsnipea
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}
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}
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op, new_dist, err := parseLine(input)
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op, new_dist, err := parseLine(input, vars)
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if err != nil {
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continue EventForLoop
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}
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