   ncalls  tottime  percall  cumtime  percall filename:lineno(function)
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  1163819    1.597    0.000    3.314    0.000 excel.py:425(_format_value)
  1122229    1.581    0.000    2.004    0.000 excel.py:668(_generate_body)
  1163819    1.574    0.000    1.574    0.000 {built-in method _libjson.dumps}
     5655    1.565    0.000    1.565    0.000 {method 'compress' of 'zlib.Compress' objects}
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  1163819    1.302    0.000    5.266    0.000 worksheet.py:421(_write)
  1067449    1.288    0.000    6.287    0.000 worksheet.py:5737(_write_cell)
  1163819    1.132    0.000    7.181    0.000 worksheet.py:57(cell_wrapper)
  1163819    0.859    0.000    1.200    0.000 _base.py:727(_value_with_fmt)
  1067449    0.852    0.000    0.852    0.000 worksheet.py:3855(_check_dimensions)
        1    0.746    0.746    7.506    7.506 worksheet.py:5555(_write_rows)
  1163820    0.733    0.000    6.582    0.000 excel.py:685(get_formatted_cells)
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  1186240    0.628    0.000    1.295    0.000 codecs.py:373(write)
  1067449    0.555    0.000    0.555    0.000 utility.py:45(xl_rowcol_to_cell_fast)
  1251250    0.501    0.000    0.501    0.000 {method 'search' of 're.Pattern' objects}
  1164503    0.493    0.000    0.778    0.000 missing.py:128(_isna_new)
  1163793    0.490    0.000    2.535    0.000 excel.py:551(_format_regular_rows)
  1186240    0.442    0.000    1.737    0.000 codecs.py:719(write)
  1163819    0.431    0.000    0.431    0.000 excel.py:27(__init__)
  1186241    0.383    0.000    0.383    0.000 {method 'write' of '_io.BufferedWriter' objects}
  1109179    0.341    0.000    0.729    0.000 xmlwriter.py:180(_escape_attributes)
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   166283    0.293    0.000    0.619    0.000 worksheet.py:527(_write_string)
  1186240    0.284    0.000    0.284    0.000 {built-in method _codecs.utf_8_encode}
   901166    0.274    0.000    0.530    0.000 <string>:1(__new__)
   166283    0.258    0.000    0.601    0.000 xmlwriter.py:102(_xml_string_element)
   262653    0.254    0.000    0.950    0.000 worksheet.py:366(_write_token_as_string)
2517128/2515690    0.239    0.000    0.240    0.000 {built-in method builtins.len}
  2329295    0.238    0.000    0.239    0.000 {pandas._libs.lib.is_scalar}
        1    0.193    0.193    0.193    0.193 worksheet.py:5633(_calculate_spans)
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  1070552    0.140    0.000    0.144    0.000 {built-in method builtins.isinstance}
  1164320    0.132    0.000    0.132    0.000 {pandas._libs.lib.is_integer}
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   153473    0.105    0.000    0.124    0.000 {method 'sub' of 're.Pattern' objects}
   260028    0.105    0.000    0.148    0.000 re.py:271(_compile)
   859602    0.094    0.000    0.094    0.000 {pandas._libs.missing.isneginf_scalar}
    35510    0.092    0.000    0.704    0.000 sharedstrings.py:86(_write_si)
        1    0.085    0.085   28.832   28.832 generic.py:2215(to_excel)
   166283    0.083    0.000    0.083    0.000 sharedstrings.py:138(_get_shared_string_index)
    41565    0.073    0.000    0.132    0.000 xmlwriter.py:61(_xml_start_tag_unencoded)
       10    0.068    0.007    0.068    0.007 {method 'close' of '_io.BufferedWriter' objects}
     5665    0.066    0.000    0.066    0.000 {method 'read' of '_io.BufferedReader' objects}
   332686    0.063    0.000    0.063    0.000 {method 'startswith' of 'str' objects}
    41565    0.061    0.000    0.198    0.000 worksheet.py:5682(_write_row)
   153473    0.061    0.000    0.273    0.000 re.py:185(sub)
     5655    0.048    0.000    0.048    0.000 {built-in method zlib.crc32}
    35510    0.045    0.000    0.159    0.000 xmlwriter.py:112(_xml_si_element)
   106530    0.042    0.000    0.196    0.000 re.py:180(search)
    41601    0.029    0.000    0.082    0.000 xmlwriter.py:70(_xml_end_tag)
   262712    0.025    0.000    0.025    0.000 {pandas._libs.lib.is_bool}
    41591    0.025    0.000    0.025    0.000 excel.py:412(header_style)
     5655    0.021    0.000    1.650    0.000 zipfile.py:1122(write)
    35510    0.019    0.000    0.019    0.000 re.py:307(_subx)
       19    0.015    0.001    0.016    0.001 necompiler.py:765(evaluate)
    35525    0.014    0.000    0.049    0.000 xmlwriter.py:196(_escape_data)
     5727    0.013    0.000    0.013    0.000 {method 'write' of '_io.BufferedRandom' objects}
    96370    0.013    0.000    0.013    0.000 worksheet.py:622(_write_blank)
        6    0.011    0.002    0.019    0.003 blocks.py:3322(_merge_blocks)
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        1    0.010    0.010    0.714    0.714 sharedstrings.py:80(_write_sst_strings)
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       87    0.007    0.000    0.007    0.000 {method 'copy' of 'numpy.ndarray' objects}
       10    0.006    0.001    1.722    0.172 shutil.py:76(copyfileobj)
       55    0.005    0.000    0.005    0.000 {built-in method builtins.sorted}
       22    0.005    0.000    0.005    0.000 {built-in method io.open}
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        1    0.005    0.005   29.033   29.033 students.py:49(compute_student_per_school_stats)
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      484    0.004    0.000    0.005    0.000 generic.py:5181(__setattr__)
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       11    0.003    0.000    0.003    0.000 {built-in method nt.open}
      224    0.003    0.000    0.003    0.000 {built-in method numpy.empty}
     9055    0.003    0.000    0.004    0.000 generic.py:7(_check)
        4    0.003    0.001    0.003    0.001 managers.py:1854(_stack_arrays)
       35    0.002    0.000    0.002    0.000 {method 'read' of '_io.FileIO' objects}
       35    0.002    0.000    0.005    0.000 <frozen importlib._bootstrap_external>:914(get_data)
        1    0.002    0.002    0.002    0.002 {pandas._libs.ops.scalar_compare}
       24    0.002    0.000    0.002    0.000 {built-in method pandas._libs.missing.isnaobj}
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     5705    0.002    0.000    0.002    0.000 zipfile.py:1115(_fileobj)
       10    0.002    0.000    0.002    0.000 {built-in method nt.utime}
        1    0.002    0.002    0.002    0.002 {pandas._libs.join.left_outer_join}
     1449    0.002    0.000    0.004    0.000 common.py:1886(_is_dtype_type)
       28    0.002    0.000    0.002    0.000 {method 'clear' of 'dict' objects}
       94    0.002    0.000    0.002    0.000 {pandas._libs.lib.infer_dtype}
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     1898    0.002    0.000    0.006    0.000 base.py:231(is_dtype)
  831/815    0.001    0.000    0.002    0.000 {built-in method numpy.array}
     3014    0.001    0.000    0.002    0.000 {built-in method builtins.hasattr}
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      290    0.001    0.000    0.001    0.000 {method 'reduce' of 'numpy.ufunc' objects}
     1303    0.001    0.000    0.002    0.000 dtypes.py:83(find)
     1241    0.001    0.000    0.004    0.000 common.py:1743(is_extension_array_dtype)
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       40    0.001    0.000    0.001    0.000 {pandas._libs.lib.map_infer}
      484    0.001    0.000    0.002    0.000 format.py:1165(base_formatter)
      389    0.001    0.000    0.002    0.000 _dtype.py:333(_name_get)
        1    0.001    0.001    0.006    0.006 sharedstrings.py:157(_sort_string_data)
     1170    0.001    0.000    0.001    0.000 {built-in method _abc._abc_instancecheck}
       81    0.001    0.000    0.009    0.000 indexing.py:901(_getitem_lowerdim)
       68    0.001    0.000    0.024    0.000 algorithms.py:1608(take_nd)
      312    0.001    0.000    0.002    0.000 blocks.py:120(__init__)
      862    0.001    0.000    0.002    0.000 {pandas._libs.lib.is_list_like}
      273    0.001    0.000    0.005    0.000 managers.py:1470(__init__)
      312    0.001    0.000    0.007    0.000 blocks.py:3258(make_block)
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     5399    0.001    0.000    0.001    0.000 {built-in method builtins.issubclass}
      747    0.001    0.000    0.001    0.000 common.py:2020(pandas_dtype)
     3835    0.001    0.000    0.001    0.000 format.py:347(len)
       40    0.001    0.000    0.001    0.000 {pandas._libs.algos.take_1d_int64_int64}
      108    0.001    0.000    0.003    0.000 managers.py:971(iget)
       48    0.001    0.000    0.001    0.000 {built-in method builtins.__build_class__}
      143    0.001    0.000    0.004    0.000 blocks.py:3212(get_block_type)
      101    0.001    0.000    0.007    0.000 construction.py:630(sanitize_array)
       40    0.001    0.000    0.001    0.000 {pandas._libs.lib.maybe_convert_objects}
      346    0.001    0.000    0.001    0.000 common.py:255(is_sparse)
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       26    0.001    0.000    0.005    0.000 format.py:1210(format_values_with)
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      232    0.001    0.000    0.001    0.000 _ufunc_config.py:39(seterr)
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      336    0.001    0.000    0.001    0.000 config.py:83(_get_single_key)
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        1    0.000    0.000    0.000    0.000 exceptions.py:25(DuplicateTableName)
        1    0.000    0.000    0.000    0.000 exceptions.py:33(DuplicateWorksheetName)
        1    0.000    0.000    0.000    0.000 exceptions.py:37(ReservedWorksheetName)
        1    0.000    0.000    0.000    0.000 exceptions.py:41(UndefinedImageSize)
        1    0.000    0.000    0.000    0.000 exceptions.py:45(UnsupportedImageFormat)
        1    0.000    0.000    0.000    0.000 {method 'pop' of 'set' objects}
        1    0.000    0.000    0.000    0.000 {method 'keys' of 'collections.OrderedDict' objects}
