acfortformat 0.1.3

Python library for reading and writing data in Fortran-style and native Python formats.

ACFortFormat

Fortran-style reading and writing utility in Python. Support for fixed formats, free reading, type inference, and formatted output.

A powerful and flexible Python library for handling data input/output (I/O) operations, inspired by Fortran's formatting syntax and also supporting native Python-style I/O operations.

acfortformat is ideal for engineers, scientists, and developers working with data generated or consumed by Fortran applications, or for those who simply need precise control over data formatting in their Python applications.

Features

• Fortran-Style Reading and Writing: Full support for the Fortran formatting language (FORMAT), allowing you to specify field width, data type (integer, real, string), and position control (T, X, etc.).
• Fixed and Free Formatting: Handles both fixed formats (predefined columns) and free formats (space- or comma-separated, with handling of quoted strings).
• Type Inferring: Automatically detects the data type (integer, float, string) when reading in free format.
• Easy Integration: Designed to be easy to integrate into any Python project.
• Format Cache: Performance optimization by reusing pre-compiled format descriptors.
• Versatile Output: Writes data to the console or any file-like object.

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Installation

You can automatically install ACFortFormat by running:

pip install acfortformat

Requires an internet connection, pip available, and Python ≥ 3.7.

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Fortran-like I/O Utility – Key Features

READING

read(fp, fmt=None) emulates the Fortran READ statement:

• fmt=None → behavior like READ(*,*) (free reading):

• Supports integers, floats (including D notation), and strings.

• Strings enclosed in double or single quotes are treated as a single value.

• Automatic type inference: int, float, str.

• fmt="*" → explicit equivalent of READ(*,*).

• fmt="(A)" → reads the entire line as a single string.

• fmt="(Fortran format)" → Fixed-format reading (via fortranformat):

• Supports I, F, A, X, Tn, repetitions, etc.

• Supports fixed alignments, spacing, and columns.

• Uses reader caching for greater efficiency.

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WRITING

write(data, fp=None, fmt=None, con=False) emulates the Fortran WRITE instruction:

• fmt=None or fmt="*" → behavior like WRITE(*,*):

• Elements of data (list or tuple) are printed separated by spaces.

• If data is a string or a simple number, it is printed directly.

• fmt="(Fortran format)" → fixed-format writing:

• Supports numeric precision (F10.4, I4, etc.), alignment, and embedded text.

• Supports complex formats.

• Uses writers cache for optimization.

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### ADDITIONAL UTILITIES

• infer_type(s) → converts string to int, float, or leaves it as str.
• line_sanity(line) → expands tabs to spaces for fixed reads.
• EndOfFile → custom end-of-file exception.
• Transparent file (fp) and console support (con=True in write()).

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Included Test Coverage

• Writing and reading with complex fixed formats.
• Reading/writing to files.
• Free format support (*), including text with spaces.
• Read-write symmetry validation.

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Usage

Reading and Writing with Fortran Format

from acfortformat import read, write, EndOfFile

# Define a Fortran format
fortran_fmt = "(I5,F10.3,A15)"
data_to_write = [12345, 67.8901, "Hello World"]

# Write to the console with Fortran format
print("--- Writing with Fortran format ---")
written_line = write(data_to_write, fmt=fortran_fmt)
print(f"Line written: '{written_line}'")

# Simulate reading from a string (which could be a file line)
print("\n--- Reading with Fortran format ---")
read_values = read(written_line, fmt=fortran_fmt)
print(f"Values read: {read_values}")

# Example of reading from a file
# Assuming 'data.txt' contains a line like: " 123 45.678 This is text"
# with the format "(I5, F7.3, A12)"

# with open("data.txt", "r") as f:
#     values_from_file = read(f, fmt="(I5, F7.3, A12)")
#     print(f"Values read from file: {values_from_file}")

Free Format Reading and Writing (Python-like)

from acfortformat import read, write, EndOfFile

# Free Format Data to Write
free_data = [10, 3.14, "a string with spaces", -50, "another 'string'"]

# Write to the console in free format
print("\n--- Free-Format Writing (*) ---")
free_written_line = write(free_data, fmt="*")
print(f"Line written: '{free_written_line}'")

# Reading from a free-form string
print("\n--- Free-Format Reading (*) ---")
free_read_values = read(free_written_line, fmt="*")
print(f"Read Values: {free_read_values}")

# Reading a quoted string for strings with spaces
quoted_line = '123 "string with spaces" 3.14 "another string with \'quotes\' and ""plus""" \'simple quote\''
print(f"\n--- Reading a quoted string in free-form ---")
parsed_quoted = read(quoted_line, fmt="*")
print(f"Parsed Values: {parsed_quoted}")

# Handling end of file
from io import StringIO
# Simulate a file with one line and then EOF
test_fp = StringIO("First line\n")
print("\n--- End of file handling ---")
print(f"Read: {read(test_fp, fmt='(A)')}")
# The second read will return the EndOfFile object
eof_result = read(test_fp, fmt='(A)')
if eof_result is EndOfFile:
    print("End of file reached!")

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More Examples

For a broader range of practical use cases and detailed demonstrations of acfortformat's features, explore the examples/ directory in the project's GitHub repository. You'll find standalone scripts illustrating various scenarios like:

• Simple Read/Write: Basic Fortran-style and free-format I/O.
• File I/O: Reading and writing data directly to/from files.
• Error Handling: Demonstrating how to gracefully manage conditions like EndOfFile.

These examples are designed to be easily runnable and serve as a quick start for integrating acfortformat into your projects.

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Contributions

Contributions are welcome! If you find a bug or have an improvement, please open an issue or submit a pull request in the GitHub repository.

License

This project is licensed under the MIT License. See the LICENSE file for more details.

Contact

If you have any questions or suggestions, please feel free to contact me at [e-mail].

Autor

Adolph Cardozo
📧 [e-mail] 🔗 GitHub