![]() ![]() Using the struct module allows for efficient conversion and manipulation of binary data, making the process simpler and more readable.#!python Traceback (most recent call last): File "/usr/local/lib/python3.5/site-packages/openpyxl/descriptors/base.py", line 57, in _convert value = expected_type(value) ValueError: could not convert string to float: '$K$6' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "extract_test.py", line 37, in text = n_until_complete(coro) File "/usr/local/lib/python3.5/asyncio/base_events.py", line 387, in run_until_complete return future.result() File "/usr/local/lib/python3.5/asyncio/futures.py", line 274, in result raise self._exception File "/usr/local/lib/python3.5/asyncio/tasks.py", line 239, in _step result = nd(None) File "/home/southclaw/work/hcc_extract_worker_py/textract/api.py", line 65, in process result = await parser(filename, **kwargs) File "/home/southclaw/work/hcc_extract_worker_py/textract/utils/parser.py", line 49, in _call_ data = await self.extract(filename, encoding=encoding, **kw) File "/home/southclaw/work/hcc_extract_worker_py/textract/parsers/xlsx.py", line 14, in extract wb = load_workbook(filename, data_only=True) File "/usr/local/lib/python3.5/site-packages/openpyxl/reader/excel.py", line 225, in load_workbook ws_parser.parse() File "/usr/local/lib/python3.5/site-packages/openpyxl/reader/worksheet.py", line 122, in parse dispatcher(element) File "/usr/local/lib/python3.5/site-packages/openpyxl/reader/worksheet.py", line 281, in parser_conditional_formatting cf = om_tree(element) File "/usr/local/lib/python3.5/site-packages/openpyxl/descriptors/serialisable.py", line 76, in from_tree obj = desc.expected_om_tree(el) File "/usr/local/lib/python3.5/site-packages/openpyxl/descriptors/serialisable.py", line 76, in from_tree obj = desc.expected_om_tree(el) File "/usr/local/lib/python3.5/site-packages/openpyxl/descriptors/serialisable.py", line 76, in from_tree obj = desc.expected_om_tree(el) File "/usr/local/lib/python3.5/site-packages/openpyxl/descriptors/serialisable.py", line 89, in from_tree return cls(**attrib) File "/usr/local/lib/python3.5/site-packages/openpyxl/formatting/rule.py", line 53, in _init_ self.val = val File "/usr/local/lib/python3.5/site-packages/openpyxl/formatting/rule.py", line 32, in _set_ super(ValueDescriptor, self)._set_(instance, value) File "/usr/local/lib/python3.5/site-packages/openpyxl/descriptors/base.py", line 69, in _set_ value = _convert(self.expected_type, value) File "/usr/local/lib/python3.5/site-packages/openpyxl/descriptors/base.py", line 59, in _convert raise TypeError('expected ' + str(expected_type)) TypeError: expected ![]() The expression number & 0xFFF performs a bitwise AND operation with 0xFFF (which represents 12 bits set to 1) to keep only the last 12 bits.įinally, we print the first_number and second_number, which correspond to the decimal values derived from the first 20 bits and the last 12 bits, respectively. The expression (number > 12) & 0xFFFFF shifts the bits 12 places to the right, effectively discarding the last 12 bits, and then performs a bitwise AND operation with 0xFFFFF (which represents 20 bits set to 1) to keep only the first 20 bits. ![]() Once we have the 32-bit number, we use bitwise operations to extract the desired bits. The '>I' format specifies a big-endian unsigned integer. The struct.unpack('>I', omhex(hex_string)) line converts the hexadecimal string '08d16113' to a 32-bit unsigned integer using the unpack function with the format '>I'. # Extract the last 12 bits and convert to a decimal number # Extract the first 20 bits and convert to a decimal number Number = struct.unpack('>I', omhex(hex_string)) # Convert the hexadecimal string to a 32-bit number Here's how you can accomplish the task at hand: import struct Indeed, Python provides a more efficient way to handle these conversions using the struct module's pack and unpack functions. ![]()
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