{
    "info": {
        "author": "alexsavio",
        "author_email": "alexsavio@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 5 - Production/Stable",
            "Environment :: Console",
            "License :: OSI Approved :: Apache Software License",
            "Natural Language :: English",
            "Operating System :: MacOS",
            "Operating System :: OS Independent",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3.6",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "hansel\n======\n\nParametric file paths to access and build structured folder trees.\n\n|PyPI| |Build Status| |Coverage Status| |Code Health|\n\nIt almost doesn't have `Dependencies`_, check how to `Install`_ it.\n\nGithub repository: https://github.com/alexsavio/hansel\n\nUsage\n=====\n\nQuick Intro\n-----------\n\nImagine this folder tree:\n\n::\n\n    data\n    \u2514\u2500\u2500 raw\n        \u251c\u2500\u2500 0040000\n        \u2502\u00a0\u00a0 \u2514\u2500\u2500 session_1\n        \u2502\u00a0\u00a0     \u251c\u2500\u2500 anat_1\n        \u2502\u00a0\u00a0     \u2514\u2500\u2500 rest_1\n        \u251c\u2500\u2500 0040001\n        \u2502\u00a0\u00a0 \u2514\u2500\u2500 session_1\n        \u2502\u00a0\u00a0     \u251c\u2500\u2500 anat_1\n        \u2502\u00a0\u00a0     \u2514\u2500\u2500 rest_1\n        \u251c\u2500\u2500 0040002\n        \u2502\u00a0\u00a0 \u2514\u2500\u2500 session_1\n        \u2502\u00a0\u00a0     \u251c\u2500\u2500 anat_1\n        \u2502\u00a0\u00a0     \u2514\u2500\u2500 rest_1\n        \u251c\u2500\u2500 0040003\n        \u2502\u00a0\u00a0 \u2514\u2500\u2500 session_1\n        \u2502\u00a0\u00a0     \u251c\u2500\u2500 anat_1\n        \u2502\u00a0\u00a0     \u2514\u2500\u2500 rest_1\n        \u251c\u2500\u2500 0040004\n        \u2502\u00a0\u00a0 \u2514\u2500\u2500 session_1\n        \u2502\u00a0\u00a0     \u251c\u2500\u2500 anat_1\n        \u2502\u00a0\u00a0     \u2514\u2500\u2500 rest_1\n\n\n.. code:: python\n\n    >>> from pprint import pprint\n    >>> from hansel import Crumb\n\n    # create the crumb\n    >>> crumb = Crumb(\"{base_dir}/raw/{subject_id}/{session_id}/{image_type}/{image}\")\n\n    # set the base_dir path\n    >>> crumb = crumb.replace(base_dir='/tmp/hansel/data')\n    >>> print(str(crumb))\n    /tmp/hansel/data/raw/{subject_id}/{session_id}/{image_type}/{image}\n\n    # get the ids of the subjects\n    >>> subj_ids = crumb['subject_id']\n    >>> print(subj_ids)\n    ['0040000', '0040001', '0040002', '0040003', '0040004', '0040005', ...\n\n    # get the paths to the subject folders, the output can be strings or crumbs,\n    # you choose with the ``make_crumbs`` boolean argument. Default: True.\n    >>> subj_paths = crumb.ls('subject_id', make_crumbs=True)\n    >>> pprint(subj_paths)\n    [Crumb(\"/tmp/hansel/data/raw/0040000/{session_id}/{image_type}/{image}\"),\n     Crumb(\"/tmp/hansel/data/raw/0040001/{session_id}/{image_type}/{image}\"),\n     Crumb(\"/tmp/hansel/data/raw/0040002/{session_id}/{image_type}/{image}\"),\n     Crumb(\"/tmp/hansel/data/raw/0040003/{session_id}/{image_type}/{image}\"),\n     Crumb(\"/tmp/hansel/data/raw/0040004/{session_id}/{image_type}/{image}\"),\n     ...\n\n    # set the image_type\n    >>> anat_crumb = crumb.replace(image_type='anat_1')\n    >>> print(anat_crumb)\n    /tmp/hansel/data/raw/{subject_id}/{session_id}/anat_1/{image}\n\n    # get the paths to the images inside the anat_1 folders\n    >>> anat_paths = anat_crumb.ls('image')\n    >>> pprint(anat_paths)\n    [Crumb(\"/tmp/hansel/data/raw/0040000/session_1/anat_1/mprage.nii.gz\"),\n     Crumb(\"/tmp/hansel/data/raw/0040001/session_1/anat_1/mprage.nii.gz\"),\n     Crumb(\"/tmp/hansel/data/raw/0040002/session_1/anat_1/mprage.nii.gz\"),\n     Crumb(\"/tmp/hansel/data/raw/0040003/session_1/anat_1/mprage.nii.gz\"),\n     Crumb(\"/tmp/hansel/data/raw/0040004/session_1/anat_1/mprage.nii.gz\"),\n     ...\n\n    # get the ``session_id`` of each of these ``anat_paths``\n    >>> sessions = [cr['session_id'][0] for cr in anat_paths]\n    >>> print(sessions)\n    ['session_1', 'session_1', 'session_1', 'session_1', 'session_1', ...\n\n    # if you don't want the the output to be ``Crumbs`` but string paths:\n    >>> anat_paths = anat_crumb.ls('image', make_crumbs=False)\n    >>> pprint(anat_paths)\n    ['/tmp/hansel/data/raw/0040000/session_1/anat_1/mprage.nii.gz',\n     '/tmp/hansel/data/raw/0040001/session_1/anat_1/mprage.nii.gz',\n     '/tmp/hansel/data/raw/0040002/session_1/anat_1/mprage.nii.gz',\n     '/tmp/hansel/data/raw/0040003/session_1/anat_1/mprage.nii.gz',\n     '/tmp/hansel/data/raw/0040004/session_1/anat_1/mprage.nii.gz',\n     ...\n\n    # you can also use a list of ``fnmatch`` expressions to ignore certain files patterns\n    # using the ``ignore_list`` argument in the constructor.\n    # For example, the files that start with '.'.\n    >>> crumb = Crumb(\"{base_dir}/data/raw/{subject_id}/{session_id}/{image_type}/{image}\", ignore_list=['.*'])\n\nOnce you have a fully defined Crumb, you can use its ``path`` for operations with the corresponding file.\nFor that you have to convert it to string by using ``str(crumb)`` or ``crumb.path``.\n\nSee more quick examples after the `Long Intro`_ check `More features and tricks`_.\n\n---------------------\n\nLong Intro\n----------\n\nI often find myself in a work related with structured folder paths, such as the\none shown above.\n\nI have tried many ways of solving these situations: loops, dictionaries,\nconfiguration files, etc. I always end up doing a different thing for the same\nproblem over and over again.\n\nThis week I grew tired of it and decided to make a representation of a\nstructured folder tree in a string and access it the most easy way.\n\nIf you look at the folder structure above I have:\n\n-  the root directory from where it is hanging: ``...data/raw``,\n-  many identifiers (in this case a subject identification), e.g.,\n   ``0040000``,\n-  session identification, ``session_1`` and\n-  a data type (in this case an image type), ``anat_1`` and ``rest_1``.\n\nWith ``hansel`` I can represent this folder structure like this:\n\n.. code:: python\n\n    >>> from hansel import Crumb\n    >>> crumb = Crumb(\"{base_dir}/data/raw/{subject_id}/{session_id}/{image_type}/{image}\")\n\nLet's say we have the structure above hanging from a base directory like ``/home/hansel/``.\n\nI can use the ``replace`` function to make set the ``base_dir`` parameter:\n\n.. code:: python\n\n    >>> crumb = crumb.replace(base_dir='/home/hansel')\n    >>> print(str(crumb))\n    /home/hansel/data/raw/{subject_id}/{session_id}/{image_type}/{image}\n\nif I don't need a copy of ``crumb``, I can use the ``[]`` operator:\n\n.. code:: python\n\n    >>> crumb['base_dir'] = '/tmp/hansel'\n    >>> print(str(crumb))\n    /tmp/hansel/data/raw/{subject_id}/{session_id}/{image_type}/{image}\n\nNow that the root path of my dataset is set, I can start querying my\ncrumb path.\n\nIf I want to know the path to the existing ``subject_id`` folders:\n\nWe can use the ``ls`` function. Its output can be ``str`` or ``Crumb``.\nI can choose this using the ``make_crumbs`` argument (default: True):\n\n.. code:: python\n\n    >>> subj_crumbs = crumb.ls('subject_id')\n    >>> pprint(subj_crumbs)\n    [Crumb(\"/tmp/hansel/data/raw/0040000/{session_id}/{image_type}/{image}\"),\n     Crumb(\"/tmp/hansel/data/raw/0040001/{session_id}/{image_type}/{image}\"),\n     Crumb(\"/tmp/hansel/data/raw/0040002/{session_id}/{image_type}/{image}\"),\n     Crumb(\"/tmp/hansel/data/raw/0040003/{session_id}/{image_type}/{image}\"),\n     Crumb(\"/tmp/hansel/data/raw/0040004/{session_id}/{image_type}/{image}\"),\n     ...\n\n    >>> subj_paths = crumb.ls('subject_id', make_crumbs=False)\n    >>> pprint(subj_paths)\n    ['/tmp/hansel/data/raw/0040000/{session_id}/{image_type}/{image}',\n     '/tmp/hansel/data/raw/0040001/{session_id}/{image_type}/{image}',\n     '/tmp/hansel/data/raw/0040002/{session_id}/{image_type}/{image}',\n     '/tmp/hansel/data/raw/0040003/{session_id}/{image_type}/{image}',\n     '/tmp/hansel/data/raw/0040004/{session_id}/{image_type}/{image}',\n     ...\n\n\nIf I want to know what are the existing ``subject_id``:\n\n.. code:: python\n\n    >>> subj_ids = crumb.ls('subject_id', fullpath=False)\n    >>> print(subj_ids)\n    ['0040000', '0040001', '0040002', '0040003', '0040004', '0040005', ...\n\nor\n\n.. code:: python\n\n    >>> subj_ids = crumb['subject_id']\n    >>> print(subj_ids)\n    ['0040000', '0040001', '0040002', '0040003', '0040004', '0040005', ...\n\nNow, if I wanted to get the path to all the images inside the ``anat_1`` folders,\nI could do this:\n\n.. code:: python\n\n    >>> anat_crumb = crumb.replace(image_type='anat_1')\n    >>> print(anat_crumb)\n    /tmp/hansel/data/raw/{subject_id}/{session_id}/anat_1/{image}\n\nor if I don't need to keep a copy of ``crumb``:\n\n.. code:: python\n\n    >>> crumb['image_type'] = 'anat_1'\n\n    # get the paths to the images inside the anat_1 folders\n    >>> anat_paths = crumb.ls('image')\n    >>> pprint(anat_paths)\n    [Crumb(\"/tmp/hansel/data/raw/0040000/session_1/anat_1/mprage.nii.gz\"),\n     Crumb(\"/tmp/hansel/data/raw/0040001/session_1/anat_1/mprage.nii.gz\"),\n     Crumb(\"/tmp/hansel/data/raw/0040002/session_1/anat_1/mprage.nii.gz\"),\n     Crumb(\"/tmp/hansel/data/raw/0040003/session_1/anat_1/mprage.nii.gz\"),\n     Crumb(\"/tmp/hansel/data/raw/0040004/session_1/anat_1/mprage.nii.gz\"),\n     ...\n\nRemember that I can still access the replaced crumb arguments in each of the previous\ncrumbs in ``anat_paths``.\n\n.. code:: python\n\n    >>> subj_ids = [cr['subject_id'][0] for cr in anat_paths]\n    >>> print(subj_ids)\n    ['0040000', '0040001', '0040002', '0040003', '0040004', ...\n\n    >>> files = [cr['image'][0] for cr in anat_paths]\n    >>> print(files)\n    ['mprage.nii.gz', 'mprage.nii.gz', 'mprage.nii.gz', 'mprage.nii.gz', ...\n\n\nMore features and tricks\n------------------------\n\nThere are more possibilities such as:\n\nCreating folder trees\n~~~~~~~~~~~~~~~~~~~~~\n\nUse `mktree` and `ParameterGrid` to create a tree of folders.\n\n    .. code:: python\n\n        >>> from hansel import mktree\n        >>> from hansel.utils import ParameterGrid\n\n        >>> crumb = Crumb(\"/tmp/hansel/data/raw/{subject_id}/{session_id}/{image_type}/{image}\")\n\n        >>> session_ids = [\"session_{}\".format(i) for i in range(2)]\n        >>> subject_ids = [\"subj_{}\".format(i) for i in range(3)]\n\n        >>> values_map = dict(session_id=session_ids, subject_id=subject_ids)\n\n        >>> crumbs = mktree(crumb, list(ParameterGrid(values_map)))\n        >>> pprint(crumbs)\n        [Crumb(\"/tmp/hansel/data/raw/subj_0/session_0/{image_type}/{image}\"),\n         Crumb(\"/tmp/hansel/data/raw/subj_1/session_0/{image_type}/{image}\"),\n         Crumb(\"/tmp/hansel/data/raw/subj_2/session_0/{image_type}/{image}\"),\n         Crumb(\"/tmp/hansel/data/raw/subj_0/session_1/{image_type}/{image}\"),\n         Crumb(\"/tmp/hansel/data/raw/subj_1/session_1/{image_type}/{image}\"),\n         Crumb(\"/tmp/hansel/data/raw/subj_2/session_1/{image_type}/{image}\")]\n\n\nCheck the feasibility of a crumb path\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n    .. code:: python\n\n        >>> crumb = Crumb(\"/tmp/hansel/raw/{subject_id}/{session_id}/{image_type}/{image}\")\n\n        # ask if there is any subject with the image 'lollipop.png'.\n        >>> crumb['image'] = 'lollipop.png'\n        >>> assert not crumb.exists()\n\n\nCheck which subjects have 'jujube.png' and 'toffee.png' files\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\n    .. code:: python\n\n        >>> crumb = Crumb(\"/tmp/hansel/raw/{subject_id}/{session_id}/{image_type}/{image}\")\n\n        >>> toffee_crumb = crumb.replace(image='toffee.png')\n        >>> jujube_crumb = crumb.replace(image='jujube.png')\n\n        # using sets functionality\n        >>> gluttons = set(toffee_crumb['subject_id']).intersection(set(jujube_crumb['subject_id']) # doctest: +SKIP\n        >>> print(gluttons)  # doctest: +SKIP\n        ['gretel', 'hansel']\n\n\nUse the `intersection` function\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nUse it for comparisons on more than one crumb argument.\nThis can be used to compare datasets with the same structure in different folders.\n\n*One argument*\n\nImagine that we have two working folders of subjects for two different projects: `proj1` and `proj2`.\nIf I want to check what subjects are common to both projects:\n\n    .. code:: python\n\n        >>> from hansel import intersection\n\n        # using one argument\n        >>> cr_proj1 = Crumb(\"/tmp/hansel/data/proj1/{subject_id}/{session_id}/{image_type}/{image}\")\n        >>> cr_proj2 = Crumb(\"/tmp/hansel/data/proj2/{subject_id}/{session_id}/{image_type}/{image}\")\n\n        # set the `on` argument in `intersection` to specify which crumb arguments to merge.\n        >>> merged = intersection(cr_proj1, cr_proj2, on=['subject_id'])\n        >>> pprint(merged)\n        [(('subject_id', '0040006'),),\n         (('subject_id', '0040007'),),\n         (('subject_id', '0040008'),),\n         (('subject_id', '0040009'),)]\n\n        # I can pick these subject crumbs from this result using the `build_paths` function.\n        >>> proj1_merged_paths = cr_proj1.build_paths(merged, make_crumbs=True)\n        >>> type(proj1_merged_paths)\n        <class 'generator'>\n\n        >>> pprint(list(proj1_merged_paths))\n        [Crumb(\"/tmp/hansel/data/proj1/0040006/{session_id}/{image_type}/{image}\"),\n         Crumb(\"/tmp/hansel/data/proj1/0040007/{session_id}/{image_type}/{image}\"),\n         Crumb(\"/tmp/hansel/data/proj1/0040008/{session_id}/{image_type}/{image}\"),\n         Crumb(\"/tmp/hansel/data/proj1/0040009/{session_id}/{image_type}/{image}\")]\n\n        >>> pprint(list(cr_proj2.build_paths(merged, make_crumbs=True)))\n        [Crumb(\"/tmp/hansel/data/proj2/0040006/{session_id}/{image_type}/{image}\"),\n         Crumb(\"/tmp/hansel/data/proj2/0040007/{session_id}/{image_type}/{image}\"),\n         Crumb(\"/tmp/hansel/data/proj2/0040008/{session_id}/{image_type}/{image}\"),\n         Crumb(\"/tmp/hansel/data/proj2/0040009/{session_id}/{image_type}/{image}\")]\n\n\n*Two arguments*\n\nNow, imagine that I have different sets of `{image}` for these subjects.\nI want to check which of those subjects have exactly the same images.\nLet's say that the subject `0040000` has a `anatomical.nii.gz` instead of `mprage.nii.gz`.\n\n    .. code:: python\n\n        >>> from hansel import intersection\n\n        # using one argument\n        >>> cr_proj3 = Crumb(\"/tmp/hansel/data/proj3/{subject_id}/{session_id}/anat_1/{image}\")\n        >>> cr_proj4 = Crumb(\"/tmp/hansel/data/proj4/{subject_id}/{session_id}/anat_1/{image}\")\n\n        # set the `on` argument in `intersection` to specify which crumb arguments to merge.\n        >>> merged = intersection(cr_proj3, cr_proj4, on=['subject_id', 'image'])\n        >>> pprint(merged)\n        [(('subject_id', '0040001'), ('image', 'mprage.nii.gz')),\n         (('subject_id', '0040002'), ('image', 'mprage.nii.gz')),\n         (('subject_id', '0040003'), ('image', 'mprage.nii.gz')),\n         (('subject_id', '0040004'), ('image', 'mprage.nii.gz')),\n        ...\n\n        # I can pick these image crumbs from this result using the `build_paths` function.\n        >>> pprint(list(cr_proj3.build_paths(merged, make_crumbs=True)))\n        [Crumb(\"/tmp/hansel/data/proj3/0040001/{session_id}/anat_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/proj3/0040002/{session_id}/anat_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/proj3/0040003/{session_id}/anat_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/proj3/0040004/{session_id}/anat_1/mprage.nii.gz\"),\n         ...\n\n        >>> pprint(list(cr_proj4.build_paths(merged, make_crumbs=True)))\n        [Crumb(\"/tmp/hansel/data/proj4/0040001/{session_id}/anat_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/proj4/0040002/{session_id}/anat_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/proj4/0040003/{session_id}/anat_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/proj4/0040004/{session_id}/anat_1/mprage.nii.gz\"),\n        ...\n\n        # adding 'mod' to the intersection would be:\n        >>> common_values = intersection(cr_proj3, cr_proj4, on=['subject_id', 'session_id', 'image'])\n        >>> pprint(common_values, width=120)\n        [(('subject_id', '0040001'), ('session_id', 'session_1'), ('image', 'mprage.nii.gz')),\n         (('subject_id', '0040002'), ('session_id', 'session_1'), ('image', 'mprage.nii.gz')),\n         (('subject_id', '0040003'), ('session_id', 'session_1'), ('image', 'mprage.nii.gz')),\n         (('subject_id', '0040004'), ('session_id', 'session_1'), ('image', 'mprage.nii.gz')),\n         ...\n\n\nThe `unfold` and `ls` functions\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nUnfold the whole crumb path to get the whole file tree in a list of paths:\n\n    .. code:: python\n\n        >>> all_images = Crumb(\"/tmp/hansel/data/raw/{subject_id}/{session_id}/{image_type}/{image}\")\n        >>> all_images = all_images.unfold()\n        >>> pprint(all_images)\n        [Crumb(\"/tmp/hansel/data/raw/0040000/session_1/anat_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/raw/0040000/session_1/rest_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/raw/0040001/session_1/anat_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/raw/0040001/session_1/rest_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/raw/0040002/session_1/anat_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/raw/0040002/session_1/rest_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/raw/0040003/session_1/anat_1/mprage.nii.gz\"),\n        ...\n\n        # and you can ask for the value of the crumb argument in each element\n        >>> print(all_images[0]['subject_id'])\n        ['0040000']\n\nNote that `unfold` is the same as calling `ls` function without arguments.\n\n\nUse regular expressions\n~~~~~~~~~~~~~~~~~~~~~~~\n\nUse ``re.match`` or ``fnmatch`` expressions to filter the paths:\n\nThe syntax for crumb arguments with a regular expression is: ``\"{<arg_name>:<arg_regex>}\"``\n\n    .. code:: python\n\n        # only the session_1 folders\n        >>> session1_cr = Crumb(\"/tmp/hansel/data/raw/{subject_id}/{session_id:*_1}/{image_type}/{image}\")\n        >>> session1_imgs = session1_cr.ls()\n        >>> pprint(session1_imgs)\n        [Crumb(\"/tmp/hansel/data/raw/0040000/session_1/anat_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/raw/0040000/session_1/rest_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/raw/0040001/session_1/anat_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/raw/0040001/session_1/rest_1/mprage.nii.gz\"),\n        ...\n\nThe default is for ``fnmatch`` expressions. If you prefer using ``re.match`` for filtering,\nset the ``regex`` argument to ``'re'`` or ``'re.ignorecase'`` in the constructor.\n\n    .. code:: python\n\n        # only the rest images from the subject ``040000``\n        >>> s0_rest_cr = Crumb(\"/tmp/hansel/data/raw/{subject_id:.*00$}/{session_id}/{image_type:rest.*}/{image}\", regex='re')\n        >>> s0_rest_imgs = s0_rest_cr.ls()\n        >>> print(s0_rest_imgs)\n        [Crumb(\"/tmp/hansel/data/raw/0040000/session_1/rest_1/mprage.nii.gz\")]\n\nThe regular expressions can be checked with the `patterns` property.\n\n    .. code:: python\n\n        >>> pprint(s0_rest_cr.patterns)\n        {'image_type': 'rest.*', 'subject_id': '.*00$'}\n\nAnd can be also modified with the `set_pattern` function.\n\n    .. code:: python\n\n        >>> s0_rest_cr.set_pattern('session_id', '.*_1$')\n        >>> pprint(s0_rest_cr.patterns)\n        {'image_type': 'rest.*', 'session_id': '.*_1$', 'subject_id': '.*00$'}\n        >>> s0_rest_cr.path\n        '/tmp/hansel/data/raw/{subject_id:.*00$}/{session_id:.*_1$}/{image_type:rest.*}/{image}'\n\n\nA regular expression can be temporarily set with the `ls` function and the `[]`\noperator.\n\n    .. code:: python\n\n        >>> crumb = Crumb(\"/tmp/hansel/data/raw/{subject_id}/{session_id}/{image_type}/{image}\")\n        >>> mprage_crumb = crumb.ls('image:mprage.*')\n        >>> pprint(mprage_crumb)\n        [Crumb(\"/tmp/hansel/data/raw/0040000/session_1/anat_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/raw/0040000/session_1/rest_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/raw/0040001/session_1/anat_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/raw/0040001/session_1/rest_1/mprage.nii.gz\"),\n         Crumb(\"/tmp/hansel/data/raw/0040002/session_1/anat_1/mprage.nii.gz\"),\n        ...\n\n        >>> pprint(crumb['image:mprage.*'])\n        ['mprage.nii.gz',\n         'mprage.nii.gz',\n         'mprage.nii.gz',\n         'mprage.nii.gz',\n         'mprage.nii.gz',\n         'mprage.nii.gz',\n        ...\n\n\nCopy and modify folder structure with `crumb_copy`\n~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~\n\nCopy a folder structure from one crumb to the other. The source crumb\nmust be fully specified, i.e., all crumb arguments must get an existing value.\nIn addition the destination crumb can only have a subset of the crumb arguments\nof the source crumb.\n\n    .. code:: python\n\n        >>> from hansel import Crumb, crumb_copy\n        >>> src_cr = Crumb(\"/tmp/hansel/data/raw/{subj_id}/{sess}/{type}/{img}\")\n        >>> dst_cr = Crumb(\"/tmp/hansel/data/copy/{subj_id}/{sess}/{type}\")\n        >>> crumb_copy(src_cr, dst_cr)\n\n\nMore functionalities, ideas and comments are welcome.\n\n\nCommand Line\n============\n\n`hansel` will install a command called `crumb`.\nThis CLI has been made with `Click <http://click.pocoo.org/>`__,\nso try `crumb -h` to see more details.\n\nYou can use `Crumb.ls`:\n\n    .. code:: bash\n\n        crumb ls \"/data/hansel/cobre/{sid:4*100}/{session}/{img}\"\n\n\nCopy one file tree to another file tree with `crumb copy`:\n\n    .. code:: bash\n\n        crumb copy \"/data/hansel/cobre/{sid}/{session}/{img}\" \"/data/hansel/cobre2/{sid}/{img}\"\n\n\nLink one file tree to another file tree with `link`:\n\n    .. code:: bash\n\n        crumb link \"/data/hansel/cobre/{sid}/{session}/{img}\" \"/data/hansel/cobre2/{sid}/{img}\"\n\n\nReturn the intersection between crumb1 and crumb2 on a given argument with the `intersect` function:\n\n    .. code:: bash\n\n        crumb intersect --on \"sid\" \"/data/hansel/cobre/{sid}/{session}/{img}\" \"/data/hansel/cobre2/{sid}/{img}\"\n\n\nReturn the difference `crumb1 - crumb2` on a given argument with the `diff` function:\n\n    .. code:: bash\n\n        crumb diff --on \"sid\" \"/data/hansel/cobre/{sid}/{session}/{img}\" \"/data/hansel/cobre2/{sid}/{img}\"\n\n\nDependencies\n============\n\nPlease see the requirements.txt file. Before installing this package,\ninstall its dependencies with:\n\n    .. code:: bash\n\n        pip install -r requirements.txt\n\n\nInstall\n=======\n\nIt works on Python 3.4, 3.5 and 2.7. For Python 2.7 install `pathlib2` as well.\n\nThis package uses setuptools. You can install it running:\n\n    .. code:: bash\n\n        python setup.py install\n\n\nIf you already have the dependencies listed in requirements.txt\ninstalled, to install in your home directory, use:\n\n    .. code:: bash\n\n        python setup.py install --user\n\nTo install for all users on Unix/Linux:\n\n    .. code:: bash\n\n        python setup.py build\n        sudo python setup.py install\n\n\nYou can also install it in development mode with:\n\n    .. code:: bash\n\n        python setup.py develop\n\n\nDevelopment\n===========\n\nCode\n----\n\nGithub\n~~~~~~\n\nYou can check the latest sources with the command:\n\n    .. code:: bash\n\n        git clone https://www.github.com/alexsavio/hansel.git\n\n\nor if you have write privileges:\n\n    .. code:: bash\n\n        git clone git@github.com:alexsavio/hansel.git\n\n\nIf you are going to create patches for this project, create a branch\nfor it from the master branch.\n\nWe tag stable releases in the repository with the version number.\n\nTesting\n-------\n\nWe are using `py.test <http://pytest.org/>`__ to help us with the testing.\n\nOtherwise you can run the tests executing:\n\n    .. code:: bash\n\n        python setup.py test\n\nor\n\n    .. code:: bash\n\n        py.test\n\nor\n\n    .. code:: bash\n\n        make test\n\n\n.. |PyPI| image:: https://img.shields.io/pypi/v/hansel.svg\n        :target: https://pypi.python.org/pypi/hansel\n\n.. |Build Status| image:: https://travis-ci.org/alexsavio/hansel.svg?branch=master\n   :target: https://travis-ci.org/alexsavio/hansel\n\n.. |Coverage Status| image:: https://coveralls.io/repos/alexsavio/hansel/badge.svg?branch=master&service=github\n   :target: https://coveralls.io/github/alexsavio/hansel?branch=master\n\n.. |Code Health| image:: https://landscape.io/github/alexsavio/hansel/master/landscape.svg?style=flat\n        :target: https://landscape.io/github/alexsavio/hansel/master\n        :alt: Code Health\n\n\n\nChangelog\n=========\n\nVersion 2.0.1 (25.02.2018)\n--------------------------\n\n- Add type annotations accross all code base.\n\n- Fixed documentation. Now it README example code snippets are tested.\n\n\nVersion 2.0.0 (24.02.2018)\n--------------------------\n\n- Drop support for Python 2.7. Add support for Python 3.6.\n\n\nVersion 1.0.0 - Version 1.0.2\n-----------------------------\n\n- add CLI docs to README.\n\n- set in `ls` function `make_crumbs` to False if `fullpath` is also False.\n\n- make in `ls` function `arg_name` parameter mandatory when `fullpath` is False.\n\n\nVersion 0.9.0 - 0.9.6\n---------------------\n\n- \"cli diff\" and \"cli intersect\" have the same interface.\n\n- changed how \"cli intersect\" prints results. Added 'base_crumb' option.\n\n- added to CLI default ignore list for crumbs: `['.*']`.\n\n- add `crumb diff` to CLI.\n\n- add `difference` utility function with test.\n\n- add `test__utils.py` as a WIP.\n\n- move CLI to click.\n\n- Annoying bug fixed.\n\n- Add `crumb_copy`.\n\n- Now it doesn't bother with relative paths.\n\n- Fix `crumb_copy` for existing paths and linking relative paths.\n\n- Add `crumb_copy` CLI.\n\n- Make `click` a dependency and move `crumb_copy` to `crumb copy`.\n\n- Add `crumb ls` and `crumb intersect` CLI.\n\n- Add `is_crumb_arg` function to utils.\n\n- Fix error in `crumb copy` parameter names.\n\n\nVersion 0.8.0 - 0.8.3\n---------------------\n- Set to True the default value for `check_exists` in `Crumb.ls` function.\n  I don't think anybody is interested in non-existing paths.\n\n- Now it is possible to set a non-open item in a Crumb, i.e., I can replace the value for an already set crumb argument.\n\n- Update README.rst\n\n- Code clean-up.\n\n- Replace dict to OrderedDict output in `valuesmap_to_dict` function.\n\n- Add regex option within `arg_name` argument of `ls` and `__get_item__`.\n\n\nVersion 0.7.0 - 0.7.5\n---------------------\n- Refactoring of how Crumb works, now using string.Formatter.\n  This will help with new features due to simpler logic.Now it is not possible to change the syntax of the Crumbs,\n  although I guess nobody is interested in that.\n- Fixed a few bugs from previous versions.\n- Now `copy` function is not a classmethod anymore, so you can do `crumb.copy()` as well as `Crumb.copy(crumb)`.\n- `patterns` is not a dictionary anymore, the regexes are embedded in the `_path` string.\n  The property `patterns` returns the dictionary as before.  The function `set_pattern` must be used instead to set a different pattern to a given argument.\n\n- Update README.rst\n\n- Fix README.rst because of bad syntax for PyPI.\n\n- Fix bug for Python 2.7\n\n- Fix the bug in .rst for PyPI.\n\n- Code cleanup\n\n\nVersion 0.6.0 - 0.6.2\n---------------------\n- Added `intersection` function in `utils.py`.\n- Change of behaviour in `__getitem__`, now it returns a list of values even if is only the one replace string from `_argval`.\n- General renaming of the private functions inside Crumbs, more in accordance to the `open_args`/`all_args` idea.\n- Fixed a few bugs and now the generated crumbs from `unfold` and `ls` will have the same parameters as the original Crumb.\n\n- Change the behaviour or `intersection` with `len(arg_names) == 1` for compatibility with `crumb.build_path` function.\n- Improve README, update with new examples using `intersection`.\n\n- Add `pandas` helper functions.\n- Add `utils` to convert from values_maps to dicts.\n- Improve docstrings.\n\n\nVersion 0.5.0 - 0.5.5\n---------------------\n- Add Python 2.7 compatibility. Friends don't let friends use Python 2.7!\n- Add 're.ignorecase' option for the `regex` argument in the constructor.\n\n- Add `utils.check_path` function.\n- Fix `Crumb.split` function to return the not defined part of the crumb.\n\n- Add `Crumbs.keys()` function.\n- Rename `utils.remove_duplicates()` to `utils.rm_dups()`.\n\n- Deprecating `Crumbs.keys()` function.\n- Renamed `Crumbs.keys()` to `Crumbs.open_args()` and added `Crumbs.all_args()`.\n- Substitute the internal logic of Crumbs to work with `Crumbs.open_args()`, made it a bit faster.\n\n- Added CHANGES.rst to MANIFEST.in\n\n\nVersion 0.4.0 - 0.4.2\n---------------------\n- Fill CHANGES.rst.\n\n- All outputs from `Crumb.ls` function will be sorted.\n- Add regular expressions or `fnmatch` option for crumb arguments.\n- Change `exists` behaviour. 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