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==22942== Invalid write of size 8 | |
==22942== at 0xBAF4362: int parquet::RleDecoder::GetBatchWithDictSpaced<parquet::Int96>(parquet::Vector<parquet::Int96> const&, parquet::Int96*, int, int, unsigned char const*, long) (rle-encoding.h:398) | |
==22942== by 0xBAF19CC: parquet::DictionaryDecoder<parquet::DataType<(parquet::Type::type)3> >::DecodeSpaced(parquet::Int96*, int, int, unsigned char const*, long) (encoding-internal.h:341) | |
==22942== by 0xBACB9C3: parquet::TypedColumnReader<parquet::DataType<(parquet::Type::type)3> >::ReadValuesSpaced(long, parquet::Int96*, int, unsigned char*, long) (reader.h:216) | |
==22942== by 0xBACAFB7: parquet::TypedColumnReader<parquet::DataType<(parquet::Type::type)3> >::ReadBatchSpaced(int, short*, short*, parquet::Int96*, unsigned char*, long, long*, long*, long*) (reader.h:341) | |
==22942== by 0xBFE0644: arrow::Status parquet::arrow::ColumnReader::Impl::ReadNullableBatch<arrow::TimestampType, parquet::DataType<(parquet::Type::type)3> >(parquet::TypedColumnReader<parquet::D |
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collected 206 items | |
pyarrow/tests/test_array.py::test_total_bytes_allocated PASSED | |
pyarrow/tests/test_array.py::test_repr_on_pre_init_array PASSED | |
pyarrow/tests/test_array.py::test_getitem_NA PASSED | |
pyarrow/tests/test_array.py::test_list_format PASSED | |
pyarrow/tests/test_array.py::test_string_format PASSED | |
pyarrow/tests/test_array.py::test_long_array_format PASSED | |
pyarrow/tests/test_array.py::test_to_pandas_zero_copy PASSED | |
pyarrow/tests/test_array.py::test_array_slice PASSED |
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Program received signal SIGSEGV, Segmentation fault. | |
0x00007fffe46950df in boost::multiprecision::backends::divide_unsigned_helper<boost::multiprecision::backends::cpp_int_backend<128u, 128u, (boost::multiprecision::cpp_integer_type)1, (boost::multiprecision::cpp_int_check_type)0, void>, boost::multiprecision::backends::cpp_int_backend<128u, 128u, (boost::multiprecision::cpp_integer_type)1, (boost::multiprecision::cpp_int_check_type)0, void> > (result=0x0, x=..., y=10, r=...) | |
at /usr/include/boost/multiprecision/cpp_int/divide.hpp:393 | |
393 if((pr[r_order] < y) && r_order) | |
(gdb) bt | |
#0 0x00007fffe46950df in boost::multiprecision::backends::divide_unsigned_helper<boost::multiprecision::backends::cpp_int_backend<128u, 128u, (boost::multiprecision::cpp_integer_type)1, (boost::multiprecision::cpp_int_check_type)0, void>, boost::multiprecision::backends::cpp_int_backend<128u, 128u, (boost::multiprecision::cpp_integer_type)1, (boost::multiprecision::cpp_int_check_type)0, void> > (result=0x0, x=..., y=10, r= |
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{ | |
"schema": { | |
"fields": [ | |
{ | |
"name": "bool_nullable", | |
"type": { | |
"name": "bool" | |
}, | |
"nullable": true, | |
"children": [], |
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import gc | |
import os | |
import time | |
import numpy as np | |
import pandas as pd | |
from pyarrow.compat import guid | |
import pyarrow as pa | |
import pyarrow.parquet as pq | |
import snappy |
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import os | |
import time | |
import numpy as np | |
import pandas as pd | |
from pyarrow.compat import guid | |
import pyarrow as pa | |
import pyarrow.parquet as pq | |
import fastparquet as fp |
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import os | |
import time | |
import numpy as np | |
import pandas as pd | |
from pyarrow.compat import guid | |
import pyarrow as pa | |
import pyarrow.parquet as pq | |
import fastparquet as fp |
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import os | |
import time | |
import numpy as np | |
import pandas as pd | |
from pyarrow.compat import guid | |
import pyarrow as pa | |
import pyarrow.parquet as pq | |
import fastparquet as fp |
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// automatically generated, do not modify | |
package org.apache.arrow.flatbuf; | |
import java.nio.*; | |
import java.lang.*; | |
import java.util.*; | |
import com.google.flatbuffers.*; | |
@SuppressWarnings("unused") |
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{ | |
"schema" : { | |
"fields" : [{ | |
"name" : "int8", | |
"nullable" : true, | |
"type" : { | |
"name" : "int", | |
"bitWidth" : 8, | |
"isSigned" : true | |
}, |