Fix issue #59

eslint.config.js

@@ -58,6 +58,7 @@ export default [
         object: true,
         array: false,
       }],
+      'prefer-exponentiation-operator': 'error',
       'prefer-promise-reject-errors': 'error',
       quotes: ['error', 'single'],
       'require-await': 'warn',

src/convert.js

@@ -41,7 +41,7 @@ export function convert(data, schemaElement, utf8 = true) {
   const ctype = schemaElement.converted_type
   if (ctype === 'DECIMAL') {
     const scale = schemaElement.scale || 0
-    const factor = Math.pow(10, -scale)
+    const factor = 10 ** -scale
     const arr = new Array(data.length)
     for (let i = 0; i < arr.length; i++) {
       if (data[0] instanceof Uint8Array) {
@@ -123,11 +123,17 @@ export function convert(data, schemaElement, utf8 = true) {
  * @returns {number}
  */
 export function parseDecimal(bytes) {
-  // TODO: handle signed
   let value = 0
   for (const byte of bytes) {
-    value = value << 8 | byte
+    value = value * 256 + byte
   }
+
+  // handle signed
+  const bits = bytes.length * 8
+  if (value >= 2 ** (bits - 1)) {
+    value -= 2 ** bits
+  }
+
   return value
 }
 
@@ -152,7 +158,7 @@ export function parseFloat16(bytes) {
   const sign = int16 >> 15 ? -1 : 1
   const exp = int16 >> 10 & 0x1f
   const frac = int16 & 0x3ff
-  if (exp === 0) return sign * Math.pow(2, -14) * (frac / 1024) // subnormals
+  if (exp === 0) return sign * 2 ** -14 * (frac / 1024) // subnormals
   if (exp === 0x1f) return frac ? NaN : sign * Infinity
-  return sign * Math.pow(2, exp - 15) * (1 + frac / 1024)
+  return sign * 2 ** (exp - 15) * (1 + frac / 1024)
 }

src/metadata.js

@@ -284,7 +284,7 @@ export function convertMetadata(value, schema) {
   if (type === 'INT64' && logical_type?.type === 'TIMESTAMP') return new Date(Number(view.getBigInt64(0, true)))
   if (type === 'INT32' && view.byteLength === 4) return view.getInt32(0, true)
   if (type === 'INT64' && view.byteLength === 8) return view.getBigInt64(0, true)
-  if (converted_type === 'DECIMAL') return parseDecimal(value) * Math.pow(10, -(schema.scale || 0))
+  if (converted_type === 'DECIMAL') return parseDecimal(value) * 10 ** -(schema.scale || 0)
   if (logical_type?.type === 'FLOAT16') return parseFloat16(value)
   if (type === 'FIXED_LEN_BYTE_ARRAY') return value
   // assert(false)

test/convert.test.js

@@ -1,5 +1,5 @@
 import { describe, expect, it } from 'vitest'
-import { convert, parseFloat16 } from '../src/convert.js'
+import { convert, parseDecimal, parseFloat16 } from '../src/convert.js'
 
 /**
  * @import {SchemaElement} from '../src/types.js'
@@ -71,6 +71,13 @@ describe('convert function', () => {
     expect(convert(data, schemaElement)).toEqual([100, 200])
   })
 
+  it('converts byte array from issue #59 to DECIMAL', () => {
+    const data = [new Uint8Array([18, 83, 137, 151, 156, 0])]
+    /** @type {SchemaElement} */
+    const schemaElement = { name, converted_type: 'DECIMAL', scale: 10, precision: 14 }
+    expect(convert(data, schemaElement)).toEqual([2015])
+  })
+
   it('converts epoch time to DATE', () => {
     const data = [1, 2] // days since epoch
     /** @type {SchemaElement} */
@@ -180,6 +187,33 @@ describe('parseFloat16', () => {
 
   it('convert float16 subnormal number', () => {
     expect(parseFloat16(new Uint8Array([0xff, 0x03])))
-      .toBeCloseTo(Math.pow(2, -14) * (1023 / 1024), 5)
+      .toBeCloseTo(2 ** -14 * (1023 / 1024), 5)
+  })
+})
+
+describe('parseDecimal', () => {
+  it('should return 0 for an empty Uint8Array', () => {
+    const result = parseDecimal(new Uint8Array())
+    expect(result).toBe(0)
+  })
+
+  it('should parse a single byte', () => {
+    const result = parseDecimal(new Uint8Array([42]))
+    expect(result).toBe(42)
+  })
+
+  it('should parse two bytes in big-endian order', () => {
+    const result = parseDecimal(new Uint8Array([1, 0]))
+    expect(result).toBe(256)
+  })
+
+  it('should parse three bytes', () => {
+    const result = parseDecimal(new Uint8Array([1, 2, 3]))
+    expect(result).toBe(66051)
+  })
+
+  it('should parse -1 as a 32-bit number', () => {
+    const result = parseDecimal(new Uint8Array([255, 255, 255, 255]))
+    expect(result).toBe(-1)
   })
 })

test/files/decimal-column.json

@@ -0,0 +1,22 @@
+[
+  [
+    40,
+    2015
+  ],
+  [
+    74,
+    2015
+  ],
+  [
+    140,
+    2015
+  ],
+  [
+    152,
+    2015
+  ],
+  [
+    190,
+    2015
+  ]
+]

test/files/decimal-column.metadata.json

@@ -0,0 +1,131 @@
+{
+  "version": 2,
+  "schema": [
+    {
+      "repetition_type": "REQUIRED",
+      "name": "schema",
+      "num_children": 2
+    },
+    {
+      "type": "INT64",
+      "repetition_type": "OPTIONAL",
+      "name": "mid"
+    },
+    {
+      "type": "FIXED_LEN_BYTE_ARRAY",
+      "type_length": 6,
+      "repetition_type": "OPTIONAL",
+      "name": "value",
+      "converted_type": "DECIMAL",
+      "scale": 10,
+      "precision": 14,
+      "logical_type": {
+        "type": "DECIMAL",
+        "scale": 10,
+        "precision": 14
+      }
+    }
+  ],
+  "num_rows": 5,
+  "row_groups": [
+    {
+      "columns": [
+        {
+          "file_offset": 0,
+          "meta_data": {
+            "type": "INT64",
+            "encodings": [
+              "PLAIN",
+              "RLE",
+              "RLE_DICTIONARY"
+            ],
+            "path_in_schema": [
+              "mid"
+            ],
+            "codec": "SNAPPY",
+            "num_values": 5,
+            "total_uncompressed_size": 126,
+            "total_compressed_size": 120,
+            "data_page_offset": 50,
+            "dictionary_page_offset": 4,
+            "statistics": {
+              "max": 190,
+              "min": 40,
+              "null_count": 0,
+              "max_value": 190,
+              "min_value": 40
+            },
+            "encoding_stats": [
+              {
+                "page_type": "DICTIONARY_PAGE",
+                "encoding": "PLAIN",
+                "count": 1
+              },
+              {
+                "page_type": "DATA_PAGE",
+                "encoding": "RLE_DICTIONARY",
+                "count": 1
+              }
+            ]
+          }
+        },
+        {
+          "file_offset": 0,
+          "meta_data": {
+            "type": "FIXED_LEN_BYTE_ARRAY",
+            "encodings": [
+              "PLAIN",
+              "RLE",
+              "RLE_DICTIONARY"
+            ],
+            "path_in_schema": [
+              "value"
+            ],
+            "codec": "SNAPPY",
+            "num_values": 5,
+            "total_uncompressed_size": 82,
+            "total_compressed_size": 86,
+            "data_page_offset": 146,
+            "dictionary_page_offset": 124,
+            "statistics": {
+              "max": 2015,
+              "min": 2015,
+              "null_count": 0,
+              "max_value": 2015,
+              "min_value": 2015
+            },
+            "encoding_stats": [
+              {
+                "page_type": "DICTIONARY_PAGE",
+                "encoding": "PLAIN",
+                "count": 1
+              },
+              {
+                "page_type": "DATA_PAGE",
+                "encoding": "RLE_DICTIONARY",
+                "count": 1
+              }
+            ]
+          }
+        }
+      ],
+      "total_byte_size": 208,
+      "num_rows": 5,
+      "file_offset": 4,
+      "total_compressed_size": 206,
+      "ordinal": 0
+    }
+  ],
+  "key_value_metadata": [
+    {
+      "key": "pandas",
+      "value": "{\"index_columns\": [{\"kind\": \"range\", \"name\": null, \"start\": 0, \"stop\": 5, \"step\": 1}], \"column_indexes\": [{\"name\": null, \"field_name\": null, \"pandas_type\": \"unicode\", \"numpy_type\": \"object\", \"metadata\": {\"encoding\": \"UTF-8\"}}], \"columns\": [{\"name\": \"mid\", \"field_name\": \"mid\", \"pandas_type\": \"int64\", \"numpy_type\": \"int64\", \"metadata\": null}, {\"name\": \"value\", \"field_name\": \"value\", \"pandas_type\": \"decimal\", \"numpy_type\": \"object\", \"metadata\": {\"precision\": 14, \"scale\": 10}}], \"creator\": {\"library\": \"pyarrow\", \"version\": \"19.0.0\"}, \"pandas_version\": \"2.2.3\"}"
+    },
+    {
+      "key": "ARROW:schema",
+      "value": "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"
+    }
+  ],
+  "created_by": "parquet-cpp-arrow version 19.0.0",
+  "metadata_length": 1959
+}