Remove DataFrames dependency

Project.toml

@@ -7,14 +7,14 @@ version = "0.1.0"
 CodecXz = "ba30903b-d9e8-5048-a5ec-d1f5b0d4b47b"
 CodecZlib = "944b1d66-785c-5afd-91f1-9de20f533193"
 CodecZstd = "6b39b394-51ab-5f42-8807-6242bab2b4c2"
-DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Dates = "ade2ca70-3891-5945-98fb-dc099432e06a"
 Printf = "de0858da-6303-5e67-8744-51eddeeeb8d7"
 TranscodingStreams = "3bb67fe8-82b1-5028-8e26-92a6c54297fa"
 Unicode = "4ec0a83e-493e-50e2-b9ac-8f72acf5a8f5"
 
 [extras]
+DataFrames = "a93c6f00-e57d-5684-b7b6-d8193f3e46c0"
 Test = "8dfed614-e22c-5e08-85e1-65c5234f0b40"
 
 [targets]
-test = ["Test"]
+test = ["DataFrames", "Test"]

REQUIRE

@@ -2,5 +2,4 @@ julia 1.1
 CodecXz
 CodecZlib
 CodecZstd
-DataFrames
 TranscodingStreams

src/TableReader.jl

@@ -8,8 +8,6 @@ using Dates:
     @dateformat_str
 using Unicode:
     isletter
-using DataFrames:
-    DataFrame
 using TranscodingStreams:
     TranscodingStreams,
     TranscodingStream,
@@ -316,6 +314,23 @@ function checkformat(stream::IO)
     end
 end
 
+function new_name!(used, name)
+    n, i = name, 1
+    while n in used
+        n = Symbol("$(name)_$i")
+        i += 1
+    end
+    push!(used, n)
+    return n
+end
+
+function to_uniquetuple(names)
+    used = Set{Symbol}()
+    return Tuple(new_name!(used, name) for name in names)
+end
+
+to_namedtuple(cols, names) = NamedTuple{to_uniquetuple(names)}(cols)
+
 # The main function of parsing a character delimited file.
 # `stream` is asuumed to be an input stream of plain text.
 function readdlm_internal(stream::TranscodingStream, params::ParserParameters)
@@ -375,7 +390,7 @@ function readdlm_internal(stream::TranscodingStream, params::ParserParameters)
     _, i = scanline!(tokens, 1, mem, 0, lastnl, line, params)
     if i == 1 && location(tokens[1,1])[2] == 0
         # no data
-        return DataFrame([[] for _ in 1:length(colnames)], colnames, makeunique = true)
+        return to_namedtuple([[] for _ in 1:length(colnames)], colnames)
     elseif i == ncols
         # the header and the first row have the same number of columns
     elseif i == ncols + 1
@@ -490,7 +505,7 @@ function readdlm_internal(stream::TranscodingStream, params::ParserParameters)
         end
     end
 
-    return DataFrame(columns, colnames, makeunique = true)
+    return to_namedtuple(columns, colnames)
 end
 
 # Count the number of `byte` in a memory block.

test/REQUIRE

@@ -0,0 +1 @@
+DataFrames