semvec/pypi-packages huggingface dataset:
config-file-tools 0.0.1
The easiest way to work with config files in python 3

# Start
  from config_files_tool import Config

  config = Config('file_name','file_type')        ====> file_type like ini or cfg

# Create Section 

      can pass key and value with zip

key = ['key1','key2','key3']

value = ['value1','value2','value3']

dicts = dict(zip(key,value))

config.create_section(section='SECTION',key=dicts)


# Strict Key
can check value if value is not correct value can set default value

config.strict_key(section='SECTION',key='key',value=['value1','value2'],default_value='defualt')


# Add Key

config.add_key('SECTION','new_key','value')

# Query Value

function will return value

config.query_value('SECTION','key')

# Query Key

config.query_key('SECTION','KEY')

# Query All Keys

config.query_all_keys('SECTION')


# Exists Functions

functions will return True or False

example:

    """ section """

    is_exsists = config.is_section_exists('SECTION')

    print(is_exists) ===> True

    more:

        is_value_exists
        
        is_key_exists
AnimalProfile 0.1
A package for tagging animal experiments
Requires Python: >=3.6

# AnimalProfile

A python package for tagging animal experiments.

This package allows assigning tags and parameters to animals and experiments, to keep track of them and group similar conditions together.
Here is an example of a _profile_ file for an animal:

![A screenshot of an example profile](doc/profile_example.png)

A similar file for each animal is created which consists of:
- __header__ parameters, which are labels for each animal.
such as its genetic background, its initial training method, etc.
In this example, 3 parameters are defined:
> "rewardType", "initialSpeed", and "option".
The "name" field is added automatically.
- __body__, seperated from the header by lack of a leading `#` character, consists of at least a _Sessions_ column and a _Tag_ column (added automatically).
The `_Sessions_ columns lists all the experiments, the _Tag_ column should include a descriptive and unique label for the experimental condition (e.g., _Early-Lesion-DLS_).
User can add more columns to the body (3 more columns in this example).

This package:
- detects new experiments, adds them to the _profile_ file.
- provides an interface for reading the profiles and grouping similar experiments for furthur analysis.

# Data structure

Data must be structured in a [particular format](/doc/dataStructure.md).

# Basic usage

Instructions are [here](/doc/instructions.ipynb).

# Installation

## Requirements
config-files-tools 0.0.1
The easiest way to work with config files in python 3

# Start
  from config_files_tool import Config
  config = Config('file_name','file_type')        ====> file_type like ini or cfg

# Create Section 
      can pass key and value with zip

key = ['key1','key2','key3']

value = ['value1','value2','value3']

dicts = dict(zip(key,value))

config.create_section(section='SECTION',key=dicts)


# Strict Key
can check value if value is not correct value can set default value

config.strict_key(section='SECTION',key='key',value=['value1','value2'],default_value='defualt')


# Add Key

config.add_key('SECTION','new_key','value')

# Query Value

function will return value

config.query_value('SECTION','key')

# Query Key

config.query_key('SECTION','KEY')

# Query All Keys

config.query_all_keys('SECTION')


# Exists Functions
functions will return True or False
example:
    """ section """
    is_exsists = config.is_section_exists('SECTION')
    print(is_exists) ===> True

    more:
        is_value_exists
        is_key_exists
config-file-tool 0.0.1
The easiest way to work with config files in python 3

# Start
  from config_files_tool import Config
  config = Config('file_name','file_type')        ====> file_type like ini or cfg

# Create Section 
      can pass key and value with zip

key = ['key1','key2','key3']

value = ['value1','value2','value3']

dicts = dict(zip(key,value))

config.create_section(section='SECTION',key=dicts)


# Strict Key
can check value if value is not correct value can set default value

config.strict_key(section='SECTION',key='key',value=['value1','value2'],default_value='defualt')


# Add Key

config.add_key('SECTION','new_key','value')

# Query Value

function will return value

config.query_value('SECTION','key')

# Query Key

config.query_key('SECTION','KEY')

# Query All Keys

config.query_all_keys('SECTION')


# Exists Functions
functions will return True or False
example:
    """ section """
    is_exsists = config.is_section_exists('SECTION')
    print(is_exists) ===> True

    more:
        is_value_exists
        is_key_exists