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BUG: Use size_t to avoid array index overflow; add missing malloc of error_msg #17040

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BUG: Use size_t to avoid array index overflow; add missing malloc of error_msg #17040

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d5c75e8
BUG: Use size_t to avoid array index overflow; add missing malloc of …
jeffknupp Jul 20, 2017
e04d12a
Switch to use int64_t rather than size_t due to portability concerns.
jeffknupp Jul 20, 2017
1f24847
Fix comment alignment; add whatsnew entry
jeffknupp Jul 20, 2017
669d99b
Fix linting errors re: line length
jeffknupp Jul 21, 2017
0985cf3
Remove debugging code; fix type cast
jeffknupp Jul 21, 2017
3171674
Fix some leftover size_t references
jeffknupp Jul 21, 2017
e4dfd19
Revert printf format strings; fix more comment alignment
jeffknupp Jul 21, 2017
2930eaa
Fix line length to conform to linter rules
jeffknupp Jul 21, 2017
2ab4971
Remove debugging code
jeffknupp Jul 23, 2017
e3cb9c1
Add unit test plus '--high-memory' option, *off by default*.
jeffknupp Jul 23, 2017
7b1cd8d
Fix linting issues
jeffknupp Jul 23, 2017
4380c53
Fix linting issues
jeffknupp Jul 23, 2017
a5d5677
Fix linting issues
jeffknupp Jul 23, 2017
6a1ba23
Clear up prose
jeffknupp Jul 23, 2017
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3 changes: 2 additions & 1 deletion doc/source/whatsnew/v0.21.0.txt
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Original file line number Diff line number Diff line change
Expand Up @@ -201,7 +201,8 @@ I/O
^^^

- Bug in :func:`read_csv` in which non integer values for the header argument generated an unhelpful / unrelated error message (:issue:`16338`)

- Bug in :func:`read_csv` in which memory management issues in exception handling, under certain conditions, would cause the Python interpreter to crash (:issue:`16798`).
- Bug in :func:`read_csv` when called with ``low_memory=False`` in which a CSV with at least one column > 2GB in size caused Pandas to grossly overestimate memory requirements and preemptively raise an Exception with the message "out of memory" (:issue:`16798`).
- Bug in :func:`read_stata` where value labels could not be read when using an iterator (:issue:`16923`)

Plotting
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145 changes: 79 additions & 66 deletions pandas/_libs/parsers.pyx
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Original file line number Diff line number Diff line change
Expand Up @@ -121,30 +121,30 @@ cdef extern from "parser/tokenizer.h":
io_callback cb_io
io_cleanup cb_cleanup

int chunksize # Number of bytes to prepare for each chunk
char *data # pointer to data to be processed
int datalen # amount of data available
int datapos
int64_t chunksize # Number of bytes to prepare for each chunk
char *data # pointer to data to be processed
int64_t datalen # amount of data available
int64_t datapos

# where to write out tokenized data
char *stream
int stream_len
int stream_cap
int64_t stream_len
int64_t stream_cap

# Store words in (potentially ragged) matrix for now, hmm
char **words
int *word_starts # where we are in the stream
int words_len
int words_cap
int64_t *word_starts # where we are in the stream
int64_t words_len
int64_t words_cap

char *pword_start # pointer to stream start of current field
int word_start # position start of current field
char *pword_start # pointer to stream start of current field
int64_t word_start # position start of current field

int *line_start # position in words for start of line
int *line_fields # Number of fields in each line
int lines # Number of lines observed
int file_lines # Number of file lines observed (with bad/skipped)
int lines_cap # Vector capacity
int64_t *line_start # position in words for start of line
int64_t *line_fields # Number of fields in each line
int64_t lines # Number of lines observed
int64_t file_lines # Number of lines observed (with bad/skipped)
int64_t lines_cap # Vector capacity

# Tokenizing stuff
ParserState state
Expand Down Expand Up @@ -177,14 +177,14 @@ cdef extern from "parser/tokenizer.h":
# thousands separator (comma, period)
char thousands

int header # Boolean: 1: has header, 0: no header
int header_start # header row start
int header_end # header row end
int header # Boolean: 1: has header, 0: no header
int64_t header_start # header row start
int64_t header_end # header row end

void *skipset
PyObject *skipfunc
int64_t skip_first_N_rows
int skipfooter
int64_t skipfooter
# pick one, depending on whether the converter requires GIL
double (*double_converter_nogil)(const char *, char **,
char, char, char, int) nogil
Expand All @@ -195,12 +195,12 @@ cdef extern from "parser/tokenizer.h":
char *warn_msg
char *error_msg

int skip_empty_lines
int64_t skip_empty_lines

ctypedef struct coliter_t:
char **words
int *line_start
int col
int64_t *line_start
int64_t col

ctypedef struct uint_state:
int seen_sint
Expand All @@ -210,7 +210,8 @@ cdef extern from "parser/tokenizer.h":
void uint_state_init(uint_state *self)
int uint64_conflict(uint_state *self)

void coliter_setup(coliter_t *it, parser_t *parser, int i, int start) nogil
void coliter_setup(coliter_t *it, parser_t *parser,
int64_t i, int64_t start) nogil
void COLITER_NEXT(coliter_t, const char *) nogil

parser_t* parser_new()
Expand Down Expand Up @@ -289,14 +290,14 @@ cdef class TextReader:
object true_values, false_values
object handle
bint na_filter, verbose, has_usecols, has_mi_columns
int parser_start
int64_t parser_start
list clocks
char *c_encoding
kh_str_t *false_set
kh_str_t *true_set

cdef public:
int leading_cols, table_width, skipfooter, buffer_lines
int64_t leading_cols, table_width, skipfooter, buffer_lines
object allow_leading_cols
object delimiter, converters, delim_whitespace
object na_values
Expand Down Expand Up @@ -730,7 +731,8 @@ cdef class TextReader:
Py_ssize_t i, start, field_count, passed_count, unnamed_count # noqa
char *word
object name
int status, hr, data_line
int status
int64_t hr, data_line
char *errors = "strict"
cdef StringPath path = _string_path(self.c_encoding)

Expand Down Expand Up @@ -949,8 +951,8 @@ cdef class TextReader:

cdef _read_rows(self, rows, bint trim):
cdef:
int buffered_lines
int irows, footer = 0
int64_t buffered_lines
int64_t irows, footer = 0

self._start_clock()

Expand Down Expand Up @@ -1018,12 +1020,13 @@ cdef class TextReader:

def _convert_column_data(self, rows=None, upcast_na=False, footer=0):
cdef:
Py_ssize_t i, nused
int64_t i
int nused
kh_str_t *na_hashset = NULL
int start, end
int64_t start, end
object name, na_flist, col_dtype = None
bint na_filter = 0
Py_ssize_t num_cols
int64_t num_cols

start = self.parser_start

Expand Down Expand Up @@ -1195,7 +1198,7 @@ cdef class TextReader:
return col_res, na_count

cdef _convert_with_dtype(self, object dtype, Py_ssize_t i,
int start, int end,
int64_t start, int64_t end,
bint na_filter,
bint user_dtype,
kh_str_t *na_hashset,
Expand Down Expand Up @@ -1275,7 +1278,7 @@ cdef class TextReader:
raise TypeError("the dtype %s is not "
"supported for parsing" % dtype)

cdef _string_convert(self, Py_ssize_t i, int start, int end,
cdef _string_convert(self, Py_ssize_t i, int64_t start, int64_t end,
bint na_filter, kh_str_t *na_hashset):

cdef StringPath path = _string_path(self.c_encoding)
Expand Down Expand Up @@ -1336,6 +1339,7 @@ cdef class TextReader:
kh_destroy_str(table)

cdef _get_column_name(self, Py_ssize_t i, Py_ssize_t nused):
cdef int64_t j
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@jreback jreback Jul 21, 2017

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was this not defined before?
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@jeffknupp jeffknupp Jul 21, 2017

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No, and for the life of me I couldn't figure out how it was working given all other instances seem to require it (left as an exercise for the reader as to why it worked but should be defined with the proper type here, regardless).
if self.has_usecols and self.names is not None:
if (not callable(self.usecols) and
len(self.names) == len(self.usecols)):
Expand Down Expand Up @@ -1427,8 +1431,8 @@ cdef inline StringPath _string_path(char *encoding):
# ----------------------------------------------------------------------
# Type conversions / inference support code

cdef _string_box_factorize(parser_t *parser, int col,
int line_start, int line_end,
cdef _string_box_factorize(parser_t *parser, int64_t col,
int64_t line_start, int64_t line_end,
bint na_filter, kh_str_t *na_hashset):
cdef:
int error, na_count = 0
Expand Down Expand Up @@ -1480,8 +1484,8 @@ cdef _string_box_factorize(parser_t *parser, int col,

return result, na_count

cdef _string_box_utf8(parser_t *parser, int col,
int line_start, int line_end,
cdef _string_box_utf8(parser_t *parser, int64_t col,
int64_t line_start, int64_t line_end,
bint na_filter, kh_str_t *na_hashset):
cdef:
int error, na_count = 0
Expand Down Expand Up @@ -1533,8 +1537,8 @@ cdef _string_box_utf8(parser_t *parser, int col,

return result, na_count

cdef _string_box_decode(parser_t *parser, int col,
int line_start, int line_end,
cdef _string_box_decode(parser_t *parser, int64_t col,
int64_t line_start, int64_t line_end,
bint na_filter, kh_str_t *na_hashset,
char *encoding):
cdef:
Expand Down Expand Up @@ -1592,8 +1596,8 @@ cdef _string_box_decode(parser_t *parser, int col,


@cython.boundscheck(False)
cdef _categorical_convert(parser_t *parser, int col,
int line_start, int line_end,
cdef _categorical_convert(parser_t *parser, int64_t col,
int64_t line_start, int64_t line_end,
bint na_filter, kh_str_t *na_hashset,
char *encoding):
"Convert column data into codes, categories"
Expand Down Expand Up @@ -1663,8 +1667,8 @@ cdef _categorical_convert(parser_t *parser, int col,
kh_destroy_str(table)
return np.asarray(codes), result, na_count

cdef _to_fw_string(parser_t *parser, int col, int line_start,
int line_end, size_t width):
cdef _to_fw_string(parser_t *parser, int64_t col, int64_t line_start,
int64_t line_end, int64_t width):
cdef:
Py_ssize_t i
coliter_t it
Expand All @@ -1680,11 +1684,11 @@ cdef _to_fw_string(parser_t *parser, int col, int line_start,

return result

cdef inline void _to_fw_string_nogil(parser_t *parser, int col,
int line_start, int line_end,
cdef inline void _to_fw_string_nogil(parser_t *parser, int64_t col,
int64_t line_start, int64_t line_end,
size_t width, char *data) nogil:
cdef:
Py_ssize_t i
int64_t i
coliter_t it
const char *word = NULL

Expand All @@ -1699,7 +1703,8 @@ cdef char* cinf = b'inf'
cdef char* cposinf = b'+inf'
cdef char* cneginf = b'-inf'

cdef _try_double(parser_t *parser, int col, int line_start, int line_end,
cdef _try_double(parser_t *parser, int64_t col,
int64_t line_start, int64_t line_end,
bint na_filter, kh_str_t *na_hashset, object na_flist):
cdef:
int error, na_count = 0
Expand Down Expand Up @@ -1808,7 +1813,8 @@ cdef inline int _try_double_nogil(parser_t *parser,

return 0

cdef _try_uint64(parser_t *parser, int col, int line_start, int line_end,
cdef _try_uint64(parser_t *parser, int64_t col,
int64_t line_start, int64_t line_end,
bint na_filter, kh_str_t *na_hashset):
cdef:
int error
Expand Down Expand Up @@ -1842,8 +1848,9 @@ cdef _try_uint64(parser_t *parser, int col, int line_start, int line_end,

return result

cdef inline int _try_uint64_nogil(parser_t *parser, int col, int line_start,
int line_end, bint na_filter,
cdef inline int _try_uint64_nogil(parser_t *parser, int64_t col,
int64_t line_start,
int64_t line_end, bint na_filter,
const kh_str_t *na_hashset,
uint64_t *data, uint_state *state) nogil:
cdef:
Expand Down Expand Up @@ -1879,7 +1886,8 @@ cdef inline int _try_uint64_nogil(parser_t *parser, int col, int line_start,

return 0

cdef _try_int64(parser_t *parser, int col, int line_start, int line_end,
cdef _try_int64(parser_t *parser, int64_t col,
int64_t line_start, int64_t line_end,
bint na_filter, kh_str_t *na_hashset):
cdef:
int error, na_count = 0
Expand All @@ -1906,8 +1914,9 @@ cdef _try_int64(parser_t *parser, int col, int line_start, int line_end,

return result, na_count

cdef inline int _try_int64_nogil(parser_t *parser, int col, int line_start,
int line_end, bint na_filter,
cdef inline int _try_int64_nogil(parser_t *parser, int64_t col,
int64_t line_start,
int64_t line_end, bint na_filter,
const kh_str_t *na_hashset, int64_t NA,
int64_t *data, int *na_count) nogil:
cdef:
Expand Down Expand Up @@ -1944,7 +1953,8 @@ cdef inline int _try_int64_nogil(parser_t *parser, int col, int line_start,

return 0

cdef _try_bool(parser_t *parser, int col, int line_start, int line_end,
cdef _try_bool(parser_t *parser, int64_t col,
int64_t line_start, int64_t line_end,
bint na_filter, kh_str_t *na_hashset):
cdef:
int na_count
Expand All @@ -1966,8 +1976,9 @@ cdef _try_bool(parser_t *parser, int col, int line_start, int line_end,
return None, None
return result.view(np.bool_), na_count

cdef inline int _try_bool_nogil(parser_t *parser, int col, int line_start,
int line_end, bint na_filter,
cdef inline int _try_bool_nogil(parser_t *parser, int64_t col,
int64_t line_start,
int64_t line_end, bint na_filter,
const kh_str_t *na_hashset, uint8_t NA,
uint8_t *data, int *na_count) nogil:
cdef:
Expand Down Expand Up @@ -2006,7 +2017,8 @@ cdef inline int _try_bool_nogil(parser_t *parser, int col, int line_start,
data += 1
return 0

cdef _try_bool_flex(parser_t *parser, int col, int line_start, int line_end,
cdef _try_bool_flex(parser_t *parser, int64_t col,
int64_t line_start, int64_t line_end,
bint na_filter, const kh_str_t *na_hashset,
const kh_str_t *true_hashset,
const kh_str_t *false_hashset):
Expand All @@ -2032,8 +2044,9 @@ cdef _try_bool_flex(parser_t *parser, int col, int line_start, int line_end,
return None, None
return result.view(np.bool_), na_count

cdef inline int _try_bool_flex_nogil(parser_t *parser, int col, int line_start,
int line_end, bint na_filter,
cdef inline int _try_bool_flex_nogil(parser_t *parser, int64_t col,
int64_t line_start,
int64_t line_end, bint na_filter,
const kh_str_t *na_hashset,
const kh_str_t *true_hashset,
const kh_str_t *false_hashset,
Expand Down Expand Up @@ -2251,8 +2264,8 @@ for k in list(na_values):
na_values[np.dtype(k)] = na_values[k]


cdef _apply_converter(object f, parser_t *parser, int col,
int line_start, int line_end,
cdef _apply_converter(object f, parser_t *parser, int64_t col,
int64_t line_start, int64_t line_end,
char* c_encoding):
cdef:
int error
Expand Down Expand Up @@ -2296,7 +2309,7 @@ def _to_structured_array(dict columns, object names, object usecols):

object name, fnames, field_type
Py_ssize_t i, offset, nfields, length
int stride, elsize
int64_t stride, elsize
char *buf

if names is None:
Expand Down Expand Up @@ -2344,10 +2357,10 @@ def _to_structured_array(dict columns, object names, object usecols):

return recs

cdef _fill_structured_column(char *dst, char* src, int elsize,
int stride, int length, bint incref):
cdef _fill_structured_column(char *dst, char* src, int64_t elsize,
int64_t stride, int64_t length, bint incref):
cdef:
Py_ssize_t i
int64_t i

if incref:
util.transfer_object_column(dst, src, stride, length)
Expand Down
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