- add: `GeneralAnnotation` IR node for `@name expression` annotations
- update: compilation pipeline to process the annotation expressions
- update: rewrite `OverloadsResolution` compiler pass so that it keeps the order of module definitions
- add: `Meta.get_annotation` builtin function that returns the result of annotation expression
- misc: improvements (private methods, lazy arguments, build.sbt cleanup)
Introduces unboxed (and arity-specialized) storage schemes for Atoms. It results in improvements both in memory consumption and runtime.
Memory wise: instead of using an array, we now use object fields. We also enable unboxing. This cuts a good few pointers in an unboxed object. E.g. a quadruple of integers is now 64 bytes (4x8 bytes for long fields + 16 bytes for layout and constructor pointers + 16 bytes for a class header). It used to be 168 bytes (4x24 bytes for boxed Longs + 16 bytes for array header + 32 bytes for array contents + 8 bytes for constructor ptr + 16 bytes for class header), so we're saving 104 bytes a piece. In the least impressive scenarios (all-boxed fields) we're saving 8 bytes per object (saving 16 bytes for array header, using 8 bytes for the new layout field). In the most-benchmarked case (list of longs), we save 32 bytes per cons-cell.
Time wise:
All list-summing benchmarks observe a ~2x speedup. List generation benchmarks get ~25x speedups, probably both due to less GC activity and better allocation characteristics (only allocating one object per Cons, rather than Cons + Object[] for fields). The "map-reverse" family gets a neat 10x speedup (part of the work is reading, which is 2x faster, the other is allocating, which is now 25x faster, we end up with 10x when combined).
`@` should not be legal to use as a binary operator. I accepted it in the parser because it occurred in the .enso sources, but it was actually used to create a syntax error to test error recovery.
See: https://www.pivotaltracker.com/story/show/184054024
* Hash codes prototype
* Remove Any.hash_code
* Improve caching of hashcode in atoms
* [WIP] Add Hash_Map type
* Implement Any.hash_code builtin for primitives and vectors
* Add some values to ValuesGenerator
* Fix example docs on Time_Zone.new
* [WIP] QuickFix for HashCodeTest before PR #3956 is merged
* Fix hash code contract in HashCodeTest
* Add times and dates values to HashCodeTest
* Fix docs
* Remove hashCodeForMetaInterop specialization
* Introduce snapshoting of HashMapBuilder
* Add unit tests for EnsoHashMap
* Remove duplicate test in Map_Spec.enso
* Hash_Map.to_vector caches result
* Hash_Map_Spec is a copy of Map_Spec
* Implement some methods in Hash_Map
* Add equalsHashMaps specialization to EqualsAnyNode
* get and insert operations are able to work with polyglot values
* Implement rest of Hash_Map API
* Add test that inserts elements with keys with same hash code
* EnsoHashMap.toDisplayString use builder storage directly
* Add separate specialization for host objects in EqualsAnyNode
* Fix specialization for host objects in EqualsAnyNode
* Add polyglot hash map tests
* EconomicMap keeps reference to EqualsNode and HashCodeNode.
Rather than passing these nodes to `get` and `insert` methods.
* HashMapTest run in polyglot context
* Fix containsKey index handling in snapshots
* Remove snapshots field from EnsoHashMapBuilder
* Prepare polyglot hash map handling.
- Hash_Map builtin methods are separate nodes
* Some bug fixes
* Remove ForeignMapWrapper.
We would have to wrap foreign maps in assignments for this to be efficient.
* Improve performance of Hash_Map.get_builtin
Also, if_nothing parameter is suspended
* Remove to_flat_vector.
Interop API requires nested vector (our previous to_vector implementation). Seems that I have misunderstood the docs the first time I read it.
- to_vector does not sort the vector by keys by default
* Fix polyglot hash maps method dispatch
* Add tests that effectively test hash code implementation.
Via hash map that behaves like a hash set.
* Remove Hashcode_Spec
* Add some polyglot tests
* Add Text.== tests for NFD normalization
* Fix NFD normalization bug in Text.java
* Improve performance of EqualsAnyNode.equalsTexts specialization
* Properly compute hash code for Atom and cache it
* Fix Text specialization in HashCodeAnyNode
* Add Hash_Map_Spec as part of all tests
* Remove HashMapTest.java
Providing all the infrastructure for all the needed Truffle nodes is no longer manageable.
* Remove rest of identityHashCode message implementations
* Replace old Map with Hash_Map
* Add some docs
* Add TruffleBoundaries
* Formatting
* Fix some tests to accept unsorted vector from Map.to_vector
* Delete Map.first and Map.last methods
* Add specialization for big integer hash
* Introduce proper HashCodeTest and EqualsTest.
- Use jUnit theories.
- Call nodes directly
* Fix some specializations for primitives in HashCodeAnyNode
* Fix host object specialization
* Remove Any.hash_code
* Fix import in Map.enso
* Update changelog
* Reformat
* Add truffle boundary to BigInteger.hashCode
* Fix performance of HashCodeTest - initialize DataPoints just once
* Fix MetaIsATest
* Fix ValuesGenerator.textual - Java's char is not Text
* Fix indent in Map_Spec.enso
* Add maps to datapoints in HashCodeTest
* Add specialization for maps in HashCodeAnyNode
* Add multiLevelAtoms to ValuesGenerator
* Provide a workaround for non-linear key inserts
* Fix specializations for double and BigInteger
* Cosmetics
* Add truffle boundaries
* Add allowInlining=true to some truffle boundaries.
Increases performance a lot.
* Increase the size of vectors, and warmup time for Vector.Distinct benchmark
* Various small performance fixes.
* Fix Geo_Spec tests to accept unsorted Map.to_vector
* Implement Map.remove
* FIx Visualization tests to accept unsorted Map.to_vector
* Treat java.util.Properties as Map
* Add truffle boundaries
* Invoke polyglot methods on java.util.Properties
* Ignore python tests if python lang is missing
Added a separate pass, `FullyQualifiedNames`, that partially resolves fully qualified names. The pass only resolves the library part of the name and replaces it with a reference to the `Main` module.
There are 2 scenarios that could be potentially:
1) the code uses a fully qualified name to a component that has been
parsed/compiled
2) the code uses a fully qualified name to a component that has **not** be
imported
For the former case, it is sufficient to just check `PackageRepository` for the presence of the library name.
In the latter we have to ensure that the library has been already parsed and all its imports are resolved. That would require the reference to `Compiler` in the `FullyQualifiedNames` pass, which could then trigger a full compilation for missing library. Since it has some undesired consequences (tracking of dependencies becomes rather complex) we decided to exclude that scenario until it is really needed.
# Important Notes
With this change, one can use a fully qualified name directly.
e.g.
```
import Standard.Base
main =
Standard.Base.IO.println "Hello world!"
```
Unsetting literal sources during the `text/fileClose` operation would also unlink sources from the actual file. That would be never set back during the reopening of the file, resulting in an NPE during application of changes at a later point.
# Important Notes
Revealed during https://github.com/enso-org/enso/pull/4050 which was the first(?) to do close/open of the file.
The exception showing up in GUI and preventing further actions is now gone.
The new `TreeToIr` conversion class inherited usage of `UnhandledEntity` to signal parser errors from the previous `AstToIr` Scala based convertor. Over the time we were improving error recovery - however only _step by step_. This pull request exterminates _all the panics_ for once and forever!
# Important Notes
Unlike Scala, Java has concept of [checked exceptions](http://wiki.apidesign.org/wiki/Checked_exception) - an exception that has to be caught. This PR introduces new checked `SyntaxException` and throws it instead of unchecked `UnhandledEntity`. Because the exception is checked, each method either needs to declare it in its signature or catch it and handle it. No exception can escape or disappear. The main conversion method `TreeToIr.translateModule` doesn't propagate the `SyntaxException`. That provably demonstrates - _all panic states_ are handled and reported as _syntax errors_ in the `IR`.
Component Groups may add additional modules to compilation. This change ensures that whatever modules result from import/export resolution, they are not duplicate. Not only could that lead to unnecessary compilation but also to multiple reports of the same error which would be confusing to users.
This fixes https://www.pivotaltracker.com/story/show/184189980
# Important Notes
No easy way to write unit tests for this, so skipping that on purpose for now.
Use `InteropLibrary.isString` and `asString` to convert any string value to `byte[]`
# Important Notes
Also contains a support for `Metadata.assertInCode` to help locating the right place in the code snippets.
**Vector**
- Adjusted `Vector.sort` to be `Vector.sort order on by`.
- Adjusted other sort to use `order` for direction argument.
- Added `insert`, `remove`, `index_of` and `last_index_of` to `Vector`.
- Added `start` and `if_missing` arguments to `find` on `Vector`, and adjusted default is `Not_Found` error.
- Added type checking to `+` on `Vector`.
- Altered `first`, `second` and `last` to error with `Index_Out_Of_Bounds` on `Vector`.
- Removed `sum`, `exists`, `head`, `init`, `tail`, `rest`, `append`, `prepend` from `Vector`.
**Pair**
- Added `last`, `any`, `all`, `contains`, `find`, `index_of`, `last_index_of`, `reverse`, `each`, `fold` and `reduce` to `Pair`.
- Added `get` to `Pair`.
**Range**
- Added `first`, `second`, `index_of`, `last_index_of`, `reverse` and `reduce` to `Range`.
- Added `at` and `get` to `Range`.
- Added `start` and `if_missing` arguments to `find` on `Range`.
- Simplified `last` and `length` of `Range`.
- Removed `exists` from `Range`.
**List**
- Added `second`, `find`, `index_of`, `last_index_of`, `reverse` and `reduce` to `Range`.
- Added `at` and `get` to `List`.
- Removed `exists` from `List`.
- Made `all` short-circuit if any fail on `List`.
- Altered `is_empty` to not compute the length of `List`.
- Altered `first`, `tail`, `head`, `init` and `last` to error with `Index_Out_Of_Bounds` on `List`.
**Others**
- Added `first`, `second`, `last`, `get` to `Text`.
- Added wrapper methods to the Random_Number_Generator so you can get random values more easily.
- Adjusted `Aggregate_Column` to operate on the first column by default.
- Added `contains_key` to `Map`.
- Added ALIAS to `row_count` and `order_by`.
Don't propagate errors from `toDisplayString` - construct an error message with `Atom.toString`.
# Important Notes
> currently a failure in to_text is swallowed by `toString` and we cannot detect that something went wrong during the serialization
Not sure how satisfying the solution is, but the error swallowing happens in Truffle and there is little to do with it. We can just catch the error ourselves and produce some meaningful string.
`Text.trim` `what` argument offered `Text` in `tagValues` - that's wrong. Using the `Text` type isn't allowed value for `Text`
# Important Notes
I had to update three other tests to match the new behavior.
Most of the problems with accessing `ArrayOverBuffer` have been resolved by using `CoerceArrayNode` (https://github.com/enso-org/enso/pull/3817). In `Array.sort` we still however specialized on Array which wasn't compatible with `ArrayOverBuffer`. Similarly sorting JS or Python arrays wouldn't work.
Added a specialization to `Array.sort` to deal with that case. A generic specialization (with `hasArrayElements`) not only handles `ArrayOverBuffer` but also polyglot arrays coming from JS or Python. We could have an additional specialization for `ArrayOverBuffer` only (removed in the last commit) that returns `ArrayOverBuffer` rather than `Array` although that adds additional complexity which so far is unnecessary.
Also fixed an example in `Array.enso` by providing a default argument.
Compiler performed name resolution of literals in type signatures but would silently fail to report any problems.
This meant that wrong names or forgotten imports would sneak in to stdlib.
This change introduces 2 main changes:
1) failed name resolutions are appended in `TypeNames` pass
2) `GatherDiagnostics` pass also collects and reports failures from type
signatures IR
Updated stdlib so that it passes given the correct gatekeepers in place.
Implements https://www.pivotaltracker.com/story/show/184032869
# Important Notes
- Currently we get failures in Full joins on Postgres which show a more serious problem - amending equality to ensure that `[NULL = NULL] == True` breaks hash/merge based indexing - so such joins will be extremely inefficient. All our joins currently rely on this notion of equality which will mean all of our DB joins will be extremely inefficient.
- We need to find a solution that will support nulls and still work OK with indices (but after exploring a few approaches: `COALESCE(a = b, a IS NULL AND b is NULL)`, `a IS NOT DISTINCT FROM b`, `(a = b) OR (a IS NULL AND b is NULL)`; all of which did not work (they all result in `ERROR: FULL JOIN is only supported with merge-joinable or hash-joinable join conditions`) I'm less certain that it is possible. Alternatively, we may need to change the NULL semantics to align it with SQL - this seems like likely the simpler solution, allowing us to generate simple, reliable SQL - the NULL=NULL solution will be cornering us into nasty workarounds very dependent on the particular backend.
`runtime-with-instruments` project sets `-Dgraalvm.locatorDisabled=true` that disables the discovery of available polyglot languages (installed with `gu`). On the other hand, enabling locator makes polyglot languages available, but also makes the program classes and the test classes loaded with different classloaders. This way we're unable to use `EnsoContext` in tests to observe internal context state (there is an exception when you try to cast to `EnsoContext`).
The solution is to move tests with enabled polyglot support, but disabled `EnsoContext` introspection to a separate project.
PR adds a flag to `Text` implementation tracking whether it is in a FCD normal form. Then this information can be used in the `Normalizer.compare` method.
| Benchmark name | Old (ms) | With flag (ms)
| --- | --- | ---
| Unicode very short | 40.29 | 40.04
| Unicode medium | 9.07 | 1.99
| Unicode big - random | 115.39 | 0.35
| Unicode big - early difference | 107.02 | 0.54
| Unicode big - late difference | 749.81 | 94.73
| ASCII very short | 28.13 | 31.13
| ASCII medium | 4.58 | 2.26
| ASCII big - random | 42.68 | 0.26
| ASCII big - early difference | 30.91 | 0.32
| ASCII big - late difference | 66.29 | 42.72
Full benchmark output.
[bench_old.txt](https://github.com/enso-org/enso/files/10325202/bench_old.txt)
[bench_new.txt](https://github.com/enso-org/enso/files/10325201/bench_new.txt)
`NestedPatternMatch` pass desugared complex patterns in a very inefficient way resulting in an exponential generation of the number of `case` IR (and Truffle) nodes. Every failed nested pattern would copy all the remaining patterns of the original case expression, in a desugared form. While the execution itself of such deeply nested `case` expression might not have many problems, the time spent in compilation phases certainly was a blocker.
This change desugars deeply nested into individual cases with a fallthrough logic. However the fallthrough logic is implemented directly in Truffle nodes, rather than via IR. That way we can generate much simpler IR for nested patterns.
Consider a simple case of
```
case x of
Cons (Cons a b) Nil -> a + b
Cons a Nil -> a
_ -> 0
```
Before the change, the compiler would generate rather large IR even for those two patterns:
```
case x of
Cons w y -> case w of
Cons a b -> case y of
Nil -> a + b
_ -> case x of
Cons a z -> case z of
Nil -> a
_ -> case x of
_ -> 0
_ -> 0
_ -> case x of
Cons a z -> case z of
Nil -> a
_ -> case x of
_ -> 0
_ -> 0
Cons a z -> case z of
Nil -> a
_ -> case x of
_ -> 0
_ -> 0
```
Now we generate simple patterns with fallthrough semantics and no catch-all branches:
```
case x of
Cons w y -> case w of
Cons a b -> case y of ## fallthrough on failed match ##
Nil -> a + b ## fallthrough on failed match ##
Cons a z -> case z of
Nil -> a ## fallthrough on failed match ##
_ -> 0
```
# Important Notes
If you wonder how much does it improve, then @radeusgd's example in https://www.pivotaltracker.com/story/show/183971366/comments/234688327 used to take at least 8 minutes to compile and run.
Now it takes 5 seconds from cold start.
Also, the example in the benchmark includes compilation time on purpose (that was the main culprit of the slowdown).
For the old implementation I had to kill it after 15 minutes as it still wouldn't finish a single compilation.
Now it runs 2 seconds or less.
Bonus points: This PR will also fix problem reported in https://www.pivotaltracker.com/story/show/184071954 (duplicate errors for nested patterns)
Nested type declaration shall yield a syntax error
# Important Notes
Now the Radek's sample:
```
type Foo
type Bar
main = 42
```
yields
```bash
$ enso --run test.enso
In module test:
Compiler encountered errors:
test.enso[2:9-2:16]: Unexpected declaration in the body of a type.
Aborting due to 1 errors and 0 warnings.
Execution finished with an error: Compilation aborted due to errors.
```
`Any.==` is a builtin method. The semantics is the same as it used to be, except that we no longer assume `x == y` iff `Meta.is_same_object x y`, which used to be the case and caused failures in table tests.
# Important Notes
Measurements from `EqualsBenchmarks` shows that the performance of `Any.==` for recursive atoms increased by roughly 20%, and the performance for primitive types stays roughly the same.
First part of fixing `Text.to_text`.
- add: `pretty` method for pretty printing.
- update: make `Text.to_text` conversion identity for Text
In the next iterations `to_text` will be gradually replaced with `to Text` conversion once the related issues with conversions are fixed.
Implements `getMetaObject` and related messages from Truffle interop for Enso values and types. Turns `Meta.is_a` into builtin and re-uses the same functionality.
# Important Notes
Adds `ValueGenerator` testing infrastructure to provide unified access to special Enso values and builtin types that can be reused by other tests, not just `MetaIsATest` and `MetaObjectTest`.
Use JavaScript to parse and serialise to JSON. Parses to native Enso object.
- `.to_json` now returns a `Text` of the JSON.
- Json methods now `parse`, `stringify` and `from_pairs`.
- New `JSON_Object` representing a JavaScript Object.
- `.to_js_object` allows for types to custom serialize. Returning a `JS_Object`.
- Default JSON format for Atom now has a `type` and `constructor` property (or method to call for as needed to deserialise).
- Removed `.into` support for now.
- Added JSON File Format and SPI to allow `Data.read` to work.
- Added `Data.fetch` API for easy Web download.
- Default visualization for JS Object trunctes, and made Vector default truncate children too.
Fixes defect where types with no constructor crashed on `to_json` (e.g. `Matching_Mode.Last.to_json`.
Adjusted default visualisation for Vector, so it doesn't serialise an array of arrays forever.
Likewise, JS_Object default visualisation is truncated to a small subset.
New convention:
- `.get` returns `Nothing` if a key or index is not present. Takes an `other` argument allowing control of default.
- `.at` error if key or index is not present.
- `Nothing` gains a `get` method allowing for easy propagation.
This removes the special handling of polyglot exceptions and allows matching on Java exceptions in the same way as for any other types.
`Polyglot_Error`, `Panic.catch_java` and `Panic.catch_primitive` are gone
The change mostly deals with the backslash of removing `Polyglot_Error` and two `Panic` methods.
`Panic.catch` was implemented as a builtin instead of delegating to `Panic.catch_primitive` builtin that is now gone.
This fixes https://www.pivotaltracker.com/story/show/182844611
Benchmark to compare _curried and lambda_ based function invocations and a fix to make _curried_ invocation (at least) as fast as the _lambda_ one. Allows us to use _curried invocations_ in standard library again without loosing any speed.
# Important Notes
Execute as:
```
sbt:runtime> benchOnly CurriedFunctionBenchmarks
```
Prior to subsequent bugfixes in this PR the benchmark results were:
- `averageCurried` runs in 0.290 ms
- `averageLambda` runs in 0.122 ms
e.g. _curried invocations_ is more than twice slow. That confirms our findings from the `Array_Proxy` vector benchmarks. The problem is that _function object is not compilation final_. After fixing it we have following results:
- `averageCurried` runs in 0.102 ms
- `averageLambda` runs in 0.111 ms
e.g. both operations are of similar complexity.
- Implemented https://www.pivotaltracker.com/story/show/183913276
- Refactored MultiValueIndex and MultiValueKeys to be more type-safe and more direct about using ordered or unordered maps.
- Added performance tests ensuring we use an efficient algorithm for the joins (the tests will fail for a full O(N*M) scan).
- Removed some duplicate code in the Table library.
- Added optional coloring of test results in terminal to make failures easier to spot.
- Aligned `compare_to` so returns `Type_Error` if `that` is wrong type for `Text`, `Ordering` and `Duration`.
- Add `empty_object`, `empty_array`. `get_or_else`, `at`, `field_names` and `length` to `Json`.
- Fix `Json` serialisation of NaN and Infinity (to "null").
- Added `length`, `at` and `to_vector` to Pair (allowing it to be treated as a Vector).
- Added `running_fold` to the `Vector` and `Range`.
- Added `first` and `last` to the `Vector.Builder`.
- Allow `order_by` to take a single `Sort_Column` or have a mix of `Text` and `Sort_Column.Name` in a `Vector`.
- Allow `select_columns_helper` to take a `Text` value. Allows for a single field in group_by in cross_tab.
- Added `Patch` and `Custom` to HTTP_Method.
- Added running `Statistic` calculation and moved more of the logic from Java to Enso. Performance seems similar to pure Java version now.
Fighting with _too many messages being delivered_ I wrote a test that dumps information about `AvoidIdInstrumentationTag` - every node that has `AvoidIdInstrumentationTag` is excluded from the instrumentation. However, when I look at the output for
```
from Standard.Base import all
import Standard.Visualization
run n = 0.up_to n . map i-> 1.noise * i
```
I see that `1.noise` didn't have the tag. Now there is [AvoidIdInstrumentationTagTest.java](https://github.com/enso-org/enso/pull/3973/files#diff-32cd9240bda2bfe0e5904695ced008daba86fefb3d137ac401997f4265fa50eb) which can be used to collect all programs where _too many messages is being delivered_. Just add a program, identify _isLambda_ and verify all nodes are properly tagged.
```
from Standard.Base import all
main =
value = 1
case value of
1 -> IO.println "one"
2 -> IO.println "two"
-1 -> IO.println "minus one"
_ -> IO.println "other"
```
# Important Notes
Had to write new `ExecCompilerTest` as comparing the AST with old compiler produced miserable results - the old AST wasn't ready for negative constants in `case of` at all.
Using lambda instead of higher order function.
# Important Notes
Running:
```
sbt:runtime> benchOnly VectorBenchmarks.averageOverArrayProxy
```
speeds up from `0.038 ms/op` to `0.016 ms/op` on my computer. Which seems good enough.
Fixes bug in visualization of host polyglot values - `ExpressionNode` is only wrapped once Chrome inspector instrument is attached to the context. With this fix, when chromeinspector is attached (`enso --run --inspect ...`), all the host values are reinterpreted as text - the assumption is invalidated. But when running as language server, nothing is wrapped.
Allow arbitrary expression evaluation in the chromeinspector console. Moreover, allow modifications of any variable in any stack frame.
# Important Notes
- Implement inline parsing in `EnsoLanguage.parse(InlineParsingRequest)`.
- Debugging experience is affected by this [bug in Truffle](https://github.com/oracle/graal/issues/5513), which causes NPEs when a host object gets into chromeinspector. I tried to implement a workaround, but it does not work all the time. Nevertheless, it should not matter that much - if there is a NPE in the debugger, you can just ignore it, as it should be concealed in the debugger and should not be propagted outside. See comments in the `docs/debugger`.
* Sequence literal (Vector) should preserve warnings
When Vector was created via a sequence literal, we simply dropped any
associated any warnings associated with it.
This change propagates Warnings during the creation of the Vector.
Ideally, it would be sufficient to propagate warnings from the
individual elements to the underlying storage but doesn't go well with
`Vector.fromArray`.
* update changelog
* Array-like structures preserver warnings
Added a WarningsLibrary that exposes `hasWarnings` and `getWarnings`
messages. That way we can have a single storage that defines how to
extract warnings from an Array and the others just delegate to it.
This simplifies logic added to sequence literals to handle warnings.
* Ensure polyglot method calls are warning-free
Since warnings are no longer automatically extracted from Array-like
structures, we delay the operation until an actual polyglot method call
is performed.
Discovered a bug in `Warning.detach_selected_warnings` which was missing
any usage or tests.
* nits
* Support multi-dimensional Vectors with warnings
* Propagate warnings from case branches
* nit
* Propagate all vector warnings when reading element
Previously, accessing an element of an Array-like structure would only
return warnings of that element or of the structure itself.
Now, accessing an element also returns warnings from all its elements as
well.
- Moved `to_default_visualization_data` to `Standard.Visualization`.
- Remove the use of `is_a` in favour of case statements.
- Stop exporting Standard.Base.Error.Common.
- Separate errors to own files.
- Change constructors to be called `Error`.
- Rename `Caught_Panic.Caught_Panic_Data` -> `Caught_Panic.Panic`.
- Rename `Project_Description.Project_Description_Data` ->`Project_Description.Value`
- Rename `Regex_Matcher.Regex_Matcher_Data` -> `Regex_Matcher.Value` (can't come up with anything better!).
- Rename `Range.Value` -> `Range.Between`.
- Rename `Interval.Value` -> `Interval.Between`.
- Rename `Column.Column_Data` -> `Column.Value`.
- Rename `Table.Table_Data` -> `Table.Value`.
- Align all the Error types in Table.
- Removed GEO Json bits from Table.
- `Json.to_table` doesn't have the GEO bits anymore.
- Added `Json.geo_json_to_table` to add the functions back in.
# Important Notes
No more exports from anywhere but Main!
No more `_Data` constructors!
