From absl import flags import sys [HOST]_string('dataroot',"D:\\College",'path to root folder of dataset') FLAGS = [HOST] FLAGS([HOST]) # need to explicitly to tell flags library to parse argv before you can access [HOST] dataroot = [HOST]ot Suppose we want users to provide a flag\nthat is a palindrome.\nfrom absl import flags\n\[HOST]_string (name="pal_flag", short_name="pf", default="", help="Give me a R ecently, while implementing my Deep Neural Network (DNN) model into a WebAPI I faced multiple issues, absl-flags for command line arguments From absl import flags import json FLAGS = [HOST] class DeserializeClass: @classmethod def get_value(cls, key): return [HOST]r[key] def populate_somevar(): with open([HOST]_file) as json_constants_fh: deserialized_data = [HOST](json_constants_fh) README.» Module code» Source code for [HOST]se_flags. ## # # # Example usages: # Example From absl import flags from absl import logging from absl import app FLAGS = [HOST] [HOST]_string(‘model’, None, ‘model to run’)
Consider absl Python library to work with flags
From absl import app from absl import flags FLAGS = [HOST] [HOST]_string('Flag2', 'This is a [HOST] flag.') class Sample: def From absl import app from absl import flags flags. DEFINE_string ('fruit', None, 'The fruit to eat.') def main (argv): # if __name__ == '__main__':
How to clean flags ? · Issue #36 · abseil/abseil-py · GitHub
1. You can use a validator for that: from absl import app. from absl import flags. FLAGS = [HOST] [HOST]_bool("f1", False, "some flag") [HOST]_string("f2", None, "some other flag") [HOST]er_validator(# the flag to validate. "f1", # a function that takes that flag's value and returns whether From absl import app from absl import flags flags. DEFINE_string ('fruit', None, 'The fruit to eat.') def main (argv): # if __name__ == '__main__': flags. mark_flag_as_required ('fruit') app. run (main) mark_flag_as_required makes sure the flag's value is not None after flags are parsed. 2. Author. Here is a simple example: # Assume the following [HOST] is defined in another module: # # from absl import flags # [HOST]_string (‘echo’, None, ‘The From absl import app from absl import flags FLAGS = [HOST] [HOST]_string('Flag2', 'This is a [HOST] flag.') class Sample: def a_method(self): print([HOST], "is being called in [HOST]") #[HOST]'s flags appear to be accessible even though we're not importing from there 1. in fact, the pip package descriptor of tensorflow explicitly requires absl-py >= (see this link at least on the current master. Can you start an interactive python session and try import absl? If that does not work, can you try to manually install py-absl with pip the same way you installed tensorflow? – Andre Holzner Features. Simple application startup. Distributed commandline flags system. Custom logging module with additional features. Testing utilities. Getting Started. Installation. To install the package, simply run: pip install absl-py. Or install from source: python [HOST] install. Running Tests