314 lines
9.3 KiB
Python
314 lines
9.3 KiB
Python
"""
|
||
Tests encoding functionality during parsing
|
||
for all of the parsers defined in parsers.py
|
||
"""
|
||
from io import BytesIO
|
||
import os
|
||
import tempfile
|
||
import uuid
|
||
|
||
import numpy as np
|
||
import pytest
|
||
|
||
from pandas import (
|
||
DataFrame,
|
||
read_csv,
|
||
)
|
||
import pandas._testing as tm
|
||
|
||
skip_pyarrow = pytest.mark.usefixtures("pyarrow_skip")
|
||
|
||
|
||
@skip_pyarrow
|
||
def test_bytes_io_input(all_parsers):
|
||
encoding = "cp1255"
|
||
parser = all_parsers
|
||
|
||
data = BytesIO("שלום:1234\n562:123".encode(encoding))
|
||
result = parser.read_csv(data, sep=":", encoding=encoding)
|
||
|
||
expected = DataFrame([[562, 123]], columns=["שלום", "1234"])
|
||
tm.assert_frame_equal(result, expected)
|
||
|
||
|
||
@skip_pyarrow
|
||
def test_read_csv_unicode(all_parsers):
|
||
parser = all_parsers
|
||
data = BytesIO("\u0141aski, Jan;1".encode())
|
||
|
||
result = parser.read_csv(data, sep=";", encoding="utf-8", header=None)
|
||
expected = DataFrame([["\u0141aski, Jan", 1]])
|
||
tm.assert_frame_equal(result, expected)
|
||
|
||
|
||
@skip_pyarrow
|
||
@pytest.mark.parametrize("sep", [",", "\t"])
|
||
@pytest.mark.parametrize("encoding", ["utf-16", "utf-16le", "utf-16be"])
|
||
def test_utf16_bom_skiprows(all_parsers, sep, encoding):
|
||
# see gh-2298
|
||
parser = all_parsers
|
||
data = """skip this
|
||
skip this too
|
||
A,B,C
|
||
1,2,3
|
||
4,5,6""".replace(
|
||
",", sep
|
||
)
|
||
path = f"__{uuid.uuid4()}__.csv"
|
||
kwargs = {"sep": sep, "skiprows": 2}
|
||
utf8 = "utf-8"
|
||
|
||
with tm.ensure_clean(path) as path:
|
||
from io import TextIOWrapper
|
||
|
||
bytes_data = data.encode(encoding)
|
||
|
||
with open(path, "wb") as f:
|
||
f.write(bytes_data)
|
||
|
||
bytes_buffer = BytesIO(data.encode(utf8))
|
||
bytes_buffer = TextIOWrapper(bytes_buffer, encoding=utf8)
|
||
|
||
result = parser.read_csv(path, encoding=encoding, **kwargs)
|
||
expected = parser.read_csv(bytes_buffer, encoding=utf8, **kwargs)
|
||
|
||
bytes_buffer.close()
|
||
tm.assert_frame_equal(result, expected)
|
||
|
||
|
||
@skip_pyarrow
|
||
def test_utf16_example(all_parsers, csv_dir_path):
|
||
path = os.path.join(csv_dir_path, "utf16_ex.txt")
|
||
parser = all_parsers
|
||
result = parser.read_csv(path, encoding="utf-16", sep="\t")
|
||
assert len(result) == 50
|
||
|
||
|
||
@skip_pyarrow
|
||
def test_unicode_encoding(all_parsers, csv_dir_path):
|
||
path = os.path.join(csv_dir_path, "unicode_series.csv")
|
||
parser = all_parsers
|
||
|
||
result = parser.read_csv(path, header=None, encoding="latin-1")
|
||
result = result.set_index(0)
|
||
got = result[1][1632]
|
||
|
||
expected = "\xc1 k\xf6ldum klaka (Cold Fever) (1994)"
|
||
assert got == expected
|
||
|
||
|
||
@skip_pyarrow
|
||
@pytest.mark.parametrize(
|
||
"data,kwargs,expected",
|
||
[
|
||
# Basic test
|
||
("a\n1", {}, DataFrame({"a": [1]})),
|
||
# "Regular" quoting
|
||
('"a"\n1', {"quotechar": '"'}, DataFrame({"a": [1]})),
|
||
# Test in a data row instead of header
|
||
("b\n1", {"names": ["a"]}, DataFrame({"a": ["b", "1"]})),
|
||
# Test in empty data row with skipping
|
||
("\n1", {"names": ["a"], "skip_blank_lines": True}, DataFrame({"a": [1]})),
|
||
# Test in empty data row without skipping
|
||
(
|
||
"\n1",
|
||
{"names": ["a"], "skip_blank_lines": False},
|
||
DataFrame({"a": [np.nan, 1]}),
|
||
),
|
||
],
|
||
)
|
||
def test_utf8_bom(all_parsers, data, kwargs, expected):
|
||
# see gh-4793
|
||
parser = all_parsers
|
||
bom = "\ufeff"
|
||
utf8 = "utf-8"
|
||
|
||
def _encode_data_with_bom(_data):
|
||
bom_data = (bom + _data).encode(utf8)
|
||
return BytesIO(bom_data)
|
||
|
||
result = parser.read_csv(_encode_data_with_bom(data), encoding=utf8, **kwargs)
|
||
tm.assert_frame_equal(result, expected)
|
||
|
||
|
||
@skip_pyarrow
|
||
def test_read_csv_utf_aliases(all_parsers, utf_value, encoding_fmt):
|
||
# see gh-13549
|
||
expected = DataFrame({"mb_num": [4.8], "multibyte": ["test"]})
|
||
parser = all_parsers
|
||
|
||
encoding = encoding_fmt.format(utf_value)
|
||
data = "mb_num,multibyte\n4.8,test".encode(encoding)
|
||
|
||
result = parser.read_csv(BytesIO(data), encoding=encoding)
|
||
tm.assert_frame_equal(result, expected)
|
||
|
||
|
||
@skip_pyarrow
|
||
@pytest.mark.parametrize(
|
||
"file_path,encoding",
|
||
[
|
||
(("io", "data", "csv", "test1.csv"), "utf-8"),
|
||
(("io", "parser", "data", "unicode_series.csv"), "latin-1"),
|
||
(("io", "parser", "data", "sauron.SHIFT_JIS.csv"), "shiftjis"),
|
||
],
|
||
)
|
||
def test_binary_mode_file_buffers(all_parsers, file_path, encoding, datapath):
|
||
# gh-23779: Python csv engine shouldn't error on files opened in binary.
|
||
# gh-31575: Python csv engine shouldn't error on files opened in raw binary.
|
||
parser = all_parsers
|
||
|
||
fpath = datapath(*file_path)
|
||
expected = parser.read_csv(fpath, encoding=encoding)
|
||
|
||
with open(fpath, encoding=encoding) as fa:
|
||
result = parser.read_csv(fa)
|
||
assert not fa.closed
|
||
tm.assert_frame_equal(expected, result)
|
||
|
||
with open(fpath, mode="rb") as fb:
|
||
result = parser.read_csv(fb, encoding=encoding)
|
||
assert not fb.closed
|
||
tm.assert_frame_equal(expected, result)
|
||
|
||
with open(fpath, mode="rb", buffering=0) as fb:
|
||
result = parser.read_csv(fb, encoding=encoding)
|
||
assert not fb.closed
|
||
tm.assert_frame_equal(expected, result)
|
||
|
||
|
||
@skip_pyarrow
|
||
@pytest.mark.parametrize("pass_encoding", [True, False])
|
||
def test_encoding_temp_file(all_parsers, utf_value, encoding_fmt, pass_encoding):
|
||
# see gh-24130
|
||
parser = all_parsers
|
||
encoding = encoding_fmt.format(utf_value)
|
||
|
||
expected = DataFrame({"foo": ["bar"]})
|
||
|
||
with tm.ensure_clean(mode="w+", encoding=encoding, return_filelike=True) as f:
|
||
f.write("foo\nbar")
|
||
f.seek(0)
|
||
|
||
result = parser.read_csv(f, encoding=encoding if pass_encoding else None)
|
||
tm.assert_frame_equal(result, expected)
|
||
|
||
|
||
@skip_pyarrow
|
||
def test_encoding_named_temp_file(all_parsers):
|
||
# see gh-31819
|
||
parser = all_parsers
|
||
encoding = "shift-jis"
|
||
|
||
title = "てすと"
|
||
data = "こむ"
|
||
|
||
expected = DataFrame({title: [data]})
|
||
|
||
with tempfile.NamedTemporaryFile() as f:
|
||
f.write(f"{title}\n{data}".encode(encoding))
|
||
|
||
f.seek(0)
|
||
|
||
result = parser.read_csv(f, encoding=encoding)
|
||
tm.assert_frame_equal(result, expected)
|
||
assert not f.closed
|
||
|
||
|
||
@pytest.mark.parametrize(
|
||
"encoding", ["utf-8", "utf-16", "utf-16-be", "utf-16-le", "utf-32"]
|
||
)
|
||
def test_parse_encoded_special_characters(encoding):
|
||
# GH16218 Verify parsing of data with encoded special characters
|
||
# Data contains a Unicode 'FULLWIDTH COLON' (U+FF1A) at position (0,"a")
|
||
data = "a\tb\n：foo\t0\nbar\t1\nbaz\t2"
|
||
encoded_data = BytesIO(data.encode(encoding))
|
||
result = read_csv(encoded_data, delimiter="\t", encoding=encoding)
|
||
|
||
expected = DataFrame(data=[["：foo", 0], ["bar", 1], ["baz", 2]], columns=["a", "b"])
|
||
tm.assert_frame_equal(result, expected)
|
||
|
||
|
||
@skip_pyarrow
|
||
@pytest.mark.parametrize("encoding", ["utf-8", None, "utf-16", "cp1255", "latin-1"])
|
||
def test_encoding_memory_map(all_parsers, encoding):
|
||
# GH40986
|
||
parser = all_parsers
|
||
expected = DataFrame(
|
||
{
|
||
"name": ["Raphael", "Donatello", "Miguel Angel", "Leonardo"],
|
||
"mask": ["red", "purple", "orange", "blue"],
|
||
"weapon": ["sai", "bo staff", "nunchunk", "katana"],
|
||
}
|
||
)
|
||
with tm.ensure_clean() as file:
|
||
expected.to_csv(file, index=False, encoding=encoding)
|
||
df = parser.read_csv(file, encoding=encoding, memory_map=True)
|
||
tm.assert_frame_equal(df, expected)
|
||
|
||
|
||
@skip_pyarrow
|
||
def test_chunk_splits_multibyte_char(all_parsers):
|
||
"""
|
||
Chunk splits a multibyte character with memory_map=True
|
||
|
||
GH 43540
|
||
"""
|
||
parser = all_parsers
|
||
# DEFAULT_CHUNKSIZE = 262144, defined in parsers.pyx
|
||
df = DataFrame(data=["a" * 127] * 2048)
|
||
|
||
# Put two-bytes utf-8 encoded character "ą" at the end of chunk
|
||
# utf-8 encoding of "ą" is b'\xc4\x85'
|
||
df.iloc[2047] = "a" * 127 + "ą"
|
||
with tm.ensure_clean("bug-gh43540.csv") as fname:
|
||
df.to_csv(fname, index=False, header=False, encoding="utf-8")
|
||
dfr = parser.read_csv(fname, header=None, memory_map=True, engine="c")
|
||
tm.assert_frame_equal(dfr, df)
|
||
|
||
|
||
@skip_pyarrow
|
||
def test_readcsv_memmap_utf8(all_parsers):
|
||
"""
|
||
GH 43787
|
||
|
||
Test correct handling of UTF-8 chars when memory_map=True and encoding is UTF-8
|
||
"""
|
||
lines = []
|
||
line_length = 128
|
||
start_char = " "
|
||
end_char = "\U00010080"
|
||
# This for loop creates a list of 128-char strings
|
||
# consisting of consecutive Unicode chars
|
||
for lnum in range(ord(start_char), ord(end_char), line_length):
|
||
line = "".join([chr(c) for c in range(lnum, lnum + 0x80)]) + "\n"
|
||
try:
|
||
line.encode("utf-8")
|
||
except UnicodeEncodeError:
|
||
continue
|
||
lines.append(line)
|
||
parser = all_parsers
|
||
df = DataFrame(lines)
|
||
with tm.ensure_clean("utf8test.csv") as fname:
|
||
df.to_csv(fname, index=False, header=False, encoding="utf-8")
|
||
dfr = parser.read_csv(
|
||
fname, header=None, memory_map=True, engine="c", encoding="utf-8"
|
||
)
|
||
tm.assert_frame_equal(df, dfr)
|
||
|
||
|
||
@pytest.mark.usefixtures("pyarrow_xfail")
|
||
@pytest.mark.parametrize("mode", ["w+b", "w+t"])
|
||
def test_not_readable(all_parsers, mode):
|
||
# GH43439
|
||
parser = all_parsers
|
||
content = b"abcd"
|
||
if "t" in mode:
|
||
content = "abcd"
|
||
with tempfile.SpooledTemporaryFile(mode=mode) as handle:
|
||
handle.write(content)
|
||
handle.seek(0)
|
||
df = parser.read_csv(handle)
|
||
expected = DataFrame([], columns=["abcd"])
|
||
tm.assert_frame_equal(df, expected)
|