irlutils 0.1.4
IRL Utilities


# IRL Utilities
# Installation
## git

```
git clone https://github.com/uiowa-irl/uiowa-irl-utils.git
cd uiowa-irl-utils
pip install --user .
```

## pypi

```
pip install irlutils
``` 

import the  module: 

```
import irlutils
```


# Documentation


## file_utils
```
FUNCTIONS
    gen_find_files(**kwargs)
        returns filenames that matches the given pattern under() a given dir


        Kwargs:
            file_pattern (str): a regex style string . 
            root (str): top level folder to begin search from. 

        Yields:
            path (generator): matching path str

        Examples:
            gen_find_files(file_pattern="*.sql", root="/mnt/data/).

            >>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
            /mnt/data/first_folder/last_folder/file.sqlite

        Reference: 
            [1] http://www.dabeaz.com/generators/

    json_flatten(y)
        flattens nested structures within a json file


        Kwargs:

            data (dict): data from nested dictionary
            kv (dict): dictionary containing key,value pairs. 

        returns:

            kv (dict): a dictionary object containing flattened structures

        Examples:
            data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}

            >>> json_flatten(data)
                {'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}

    rmsubtree(**kwargs)
        Clears all subfolders and files in location
        kwargs:
            location (str): target directory to remove
        Examples:

            >>> rmsubtree(location="/path/to/target_dir").

    tar_unpacker(**kwargs)
        unpacks tar to a tmp directory. 


        Kwargs:

            tar_path (str): tar file path
            versbose (bool): True enables verbose

        returns:

            tmp_path (generator): extracted contents path

        Examples:

            tar_unpacker(file_pattern="/mnt/data/tarfile.tar.gz").

            >>> tar_unpacker(file_pattern="/mnt/data/tarfile.tar.gz").
            /tmp/FZ4245_Zb/

AUTHOR
    senorchow

FILE
    irlutils/file/file_utils.py
```
## database_utils
```
FUNCTIONS
    build_index(cursor, column, tables)
        Build an index on `column` for each table in `tables`

    drop_tables(sqlite_con, tables=[])

    fetchiter(cursor, arraysize=10000)
        Generator for cursor results

    get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_content(db, content_hash, compression='snappy', beautify=True)
        Returns decompressed content from javascript leveldb database

    get_ldb_content(ldb_addr, content_hash)

    get_leveldb(db_path, compression='snappy')
        Returns an open handle for a leveldb database
        with proper configuration settings.

    get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    list_placeholder(length, is_pg=False)
        Returns a (?,?,?,?...) string of the desired length

    optimize_db(cursor)
        Set options to make sqlite more efficient on a high memory machine

FILE
    irlutils/url/crawl/database_utils.py
```

## domain_utils

```
FUNCTIONS
    get_hostname(url)
        strips out the hostname from a url

    get_ps_plus_1(url, **kwargs)
        Returns the PS+1 of the url. This will also return
        an IP address if the hostname of the url is a valid
        IP address.

        An (optional) PublicSuffixList object can be passed with keyword arg 'psl',
        otherwise a version cached in the system temp directory is used.

    get_psl(location='public_suffix_list.dat')
        Grabs an updated public suffix list.

    get_stripped_query_string(url)

    get_stripped_url(url, scheme=False)
        Returns a url stripped to (scheme)?+hostname+path

    get_stripped_urls(urls, scheme=False)
        Returns a set (or list) of urls stripped to (scheme)?+hostname+path

    hostname_subparts(url, include_ps=False, **kwargs)
        Returns a list of slices of a url's hostname down to the PS+1

        If `include_ps` is set, the hostname slices will include the public suffix

        For example: http://a.b.c.d.com/path?query#frag would yield:
            [a.b.c.d.com, b.c.d.com, c.d.com, d.com] if include_ps == False
            [a.b.c.d.com, b.c.d.com, c.d.com, d.com, com] if include_ps == True

        An (optional) PublicSuffixList object can be passed with keyword arg 'psl'.
        otherwise a version cached in the system temp directory is used.

    is_ip_address(hostname)
        Check if the given string is a valid IP address

    load_psl(function)

DATA
    PSL_CACHE_LOC = 'public_suffix_list.dat'
    absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
    print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...

FILE
    irlutils/url/crawl/domain_utils.py
```

## blocklist_utils

```
FUNCTIONS
    get_option_dict(request)
        Build an options dict for BlockListParser

        Parameters
        ----------
        request : sqlite3.Row
            A single HTTP request record pulled from OpenWPM's http_requests table
        public_suffix_list : PublicSuffixList
            An instance of PublicSuffixList()

               BINARY_OPTIONS = [
            "script",
            "image",
            "stylesheet",
            "object",
            "xmlhttprequest",
            "object-subrequest",
            "subdocument",
            "document",
            "elemhide",
            "other",
            "background",
            "xbl",
            "ping",
            "dtd",
            "media",
            "third-party",
            "match-case",
            "collapse",
            "donottrack",
        ]

        Returns
        -------
        dict
            An "options" dictionary for use with BlockListParser
            refs: [1] https://github.com/MoonchildProductions/UXP/blob/master/dom/base/nsIContentPolicyBase.idl
                  [2] https://adblockplus.org/en/filters#options
                  [3]

FILE
    irlutils/url/crawl/blocklist_utils.py
```

## analysis_utils

```
FUNCTIONS
    add_col_bare_script_url(js_df)
        Add a col for script URL without scheme, www and query.

    add_col_set_of_script_ps1s_from_call_stack(js_df)
        map psls to call stack in scripts

        Args: 
            js_df (pandas dataFrame): javascript table

    add_col_set_of_script_urls_from_call_stack(js_df)

    add_col_unix_timestamp(df)

    datetime_from_iso(iso_date)
        Convert from ISO.

    get_cookie(headers)
        A special case of parse headers that extracts only the cookie. 

        Args: 
            headers (list): http request headers

        Returns:

            item(string): name value pairs of a cookie

    get_func_and_script_url_from_initiator(initiator)
        Remove line number and column number from the initiator.

    get_host_from_url(url)

    get_initiator_from_call_stack(call_stack)
        Return the bottom element of the call stack.

    get_initiator_from_req_call_stack(req_call_stack)
        Return the bottom element of a request call stack.
        Request call stacks have an extra field (async_cause) at the end.

    get_requests_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http requests

    get_responses_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http responses

    get_script_url_from_initiator(initiator)
        Remove the scheme and query section of a URL.

    get_script_urls_from_call_stack_as_set(call_stack)
        Return the urls of the scripts involved in the call stack as a set.

    get_set_cookie(header)
        A special case of parse headers that returns 'Set-Cookies'

        Args: 
            headers (string): http request headers

        Returns:
             item(string): name value pairs of Set Cookie field

    get_set_of_script_hosts_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack.

    get_set_of_script_ps1s_from_call_stack(script_urls, du)
        extract a unique set of urls from a list of urls detected in scripts

        Args: 
            script_urls (list): A list of urls extracted from javascripts
            du (list): A domain utilities instance

        Returns:
             psls(set): a set of tld+1(string)

    get_set_of_script_urls_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack as a
        string.

    parse_headers(header)
        parses http header into kv pairs

        Args: 
            headers (string): http request headers

        Returns:
             kv(dict): name value pairs of http headers

    strip_scheme_www_and_query(url)
        Remove the scheme and query section of a URL.

DATA
    absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
    print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...

FILE
    irlutils/url/crawl/analysis_utils.py
```

## chi2_proportions

```
FUNCTIONS
    chi2Proportions(count, nobs)
        A wrapper for the chi2 testing proportions based upon the chi-square test

        Args:
            count (:obj `list` of :obj`int` or a single `int`):  the number of successes in nobs trials. If this is 
            array_like, then the assumption is that this represents the number of successes 
            for each independent sample 


            nobs (:obj `list` of :obj`int` or a single `int`):  The number of trials or observations, with the same length as count. 

        Returns: 
            chi2  (:obj `float`): The test statistic.

            p (:obj `float`): The p-value of the test

            dof (int) : Degrees of freedom

            expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table


        References: 
        [1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
        [2] "statsmodels.stats.proportion.proportions_chisquare"  https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
        [3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
        [4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
        [5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.

        Sample use: 
            input: 
            [10,10,20] - number of successes in trial 
            [20,20,20] - number of trials 
            chi2Proportions([10,10,20], [20,20,20])

            output: 
            (2.7777777777777777,
            0.24935220877729619,
            2,
            array([[ 12.,  12.,  16.],
                [ 18.,  18.,  24.]]))

FILE
    irlutils/stats/tests/proportions/chi2_proportions.py
```
Help on module file_utils:

NAME
    file_utils

FUNCTIONS
    chmod(path, mode=777, recursive=False)

    chownUser(path, recursive=False, owner='user', group='user')

    compress_path(path)

    cp(s, d)

    file_ext(path, **kwargs)
        file extension finder
        kwargs:
            path (str): path or file name
        Returns:
            dotted file extension of a file
        Examples:

            >>> file_ext('/path/to_file/with_ext/test.py')
                .py

    gen_find_files(**kwargs)
        returns filenames that matches the given pattern under() a given dir


        Kwargs:
            file_pattern (str): a regex style string . 
            root (str): top level folder to begin search from. 

        Yields:
            path (generator): matching path str

        Examples:
            gen_find_files(file_pattern="*.sql", root="/mnt/data/).

            >>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
            /mnt/data/first_folder/last_folder/file.sqlite

        Reference: 
            [1] http://www.dabeaz.com/generators/

    json_flatten(y)
        flattens nested structures within a json file


        Kwargs:

            data (dict): data from nested dictionary
            kv (dict): dictionary containing key,value pairs. 

        returns:

            kv (dict): a dictionary object containing flattened structures

        Examples:
            data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}

            >>> json_flatten(data)
                {'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}

    mkdir(d, mode=511, exist_ok=True)

    mv(s, d)

    rm(self, d)

    rmsubtree(**kwargs)
        Clears all subfolders and files in location
        kwargs:
            location (str): target directory to remove
        Examples:

            >>> rmsubtree(location="/path/to/target_dir").

    tar_packer(tar_dir, **kwargs)
        tars up  directory 


        Kwargs:

            dir (str): top level dir
            compression (bool): compression type. gz, xz supported now
            versbose (bool): True enables verbose

        returns:

            tar_path (generator): path to tar file

        Examples:

            tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]

            >>> 
                /tmp/FZ4245_Zb/top_level_dir.tar

    tar_unpacker(tar_path, **kwargs)
        unpacks tar to a tmp directory. 


        Kwargs:

            tar_path (str): tar file path
            versbose (bool): True enables verbose

        returns:

            tmp_path (generator): extracted contents path

        Examples:

            tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").

            >>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
            /tmp/FZ4245_Zb/

    touch(self, d)

DATA
    DBG = <lcdk.lcdk.lcdk object>

AUTHOR
    johncook

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py


Help on module database_utils:

NAME
    database_utils

FUNCTIONS
    build_index(cursor, column, tables)
        Build an index on `column` for each table in `tables`

    drop_tables(sqlite_con, tables=[])

    fetchiter(cursor, arraysize=10000)
        Generator for cursor results

    get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_content(db, content_hash, compression='snappy', beautify=True)
        Returns decompressed content from javascript leveldb database

    get_ldb_content(ldb_addr, content_hash)

    get_leveldb(db_path, compression='snappy')
        Returns an open handle for a leveldb database
        with proper configuration settings.

    get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    list_placeholder(length, is_pg=False)
        Returns a (?,?,?,?...) string of the desired length

    optimize_db(cursor)
        Set options to make sqlite more efficient on a high memory machine

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py


problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
Help on module analysis_utils:

NAME
    analysis_utils

FUNCTIONS
    add_col_bare_script_url(js_df)
        Add a col for script URL without scheme, www and query.

    add_col_set_of_script_ps1s_from_call_stack(js_df)
        map psls to call stack in scripts

        Args: 
            js_df (pandas dataFrame): javascript table

    add_col_set_of_script_urls_from_call_stack(js_df)

    add_col_unix_timestamp(df)

    datetime_from_iso(iso_date)
        Convert from ISO.

    get_cookie(headers)
        A special case of parse headers that extracts only the cookie. 

        Args: 
            headers (list): http request headers

        Returns:

            item(string): name value pairs of a cookie

    get_func_and_script_url_from_initiator(initiator)
        Remove line number and column number from the initiator.

    get_host_from_url(url)

    get_initiator_from_call_stack(call_stack)
        Return the bottom element of the call stack.

    get_initiator_from_req_call_stack(req_call_stack)
        Return the bottom element of a request call stack.
        Request call stacks have an extra field (async_cause) at the end.

    get_requests_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http requests

    get_responses_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http responses

    get_script_url_from_initiator(initiator)
        Remove the scheme and query section of a URL.

    get_script_urls_from_call_stack_as_set(call_stack)
        Return the urls of the scripts involved in the call stack as a set.

    get_set_cookie(header)
        A special case of parse headers that returns 'Set-Cookies'

        Args: 
            headers (string): http request headers

        Returns:
             item(string): name value pairs of Set Cookie field

    get_set_of_script_hosts_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack.

    get_set_of_script_ps1s_from_call_stack(script_urls, du)
        extract a unique set of urls from a list of urls detected in scripts

        Args: 
            script_urls (list): A list of urls extracted from javascripts
            du (list): A domain utilities instance

        Returns:
             psls(set): a set of tld+1(string)

    get_set_of_script_urls_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack as a
        string.

    parse_headers(header)
        parses http header into kv pairs

        Args: 
            headers (string): http request headers

        Returns:
             kv(dict): name value pairs of http headers

    strip_scheme_www_and_query(url)
        Remove the scheme and query section of a URL.

DATA
    absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
    print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py


Help on module chi2_proportions:

NAME
    chi2_proportions

FUNCTIONS
    chi2Proportions(count, nobs)
        A wrapper for the chi2 testing proportions based upon the chi-square test

        Args:
            count (:obj `list` of :obj`int` or a single `int`):  the number of successes in nobs trials. If this is 
            array_like, then the assumption is that this represents the number of successes 
            for each independent sample 


            nobs (:obj `list` of :obj`int` or a single `int`):  The number of trials or observations, with the same length as count. 

        Returns: 
            chi2  (:obj `float`): The test statistic.

            p (:obj `float`): The p-value of the test

            dof (int) : Degrees of freedom

            expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table


        References: 
        [1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
        [2] "statsmodels.stats.proportion.proportions_chisquare"  https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
        [3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
        [4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
        [5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.

        Sample use: 
            input: 
            [10,10,20] - number of successes in trial 
            [20,20,20] - number of trials 
            chi2Proportions([10,10,20], [20,20,20])

            output: 
            (2.7777777777777777,
            0.24935220877729619,
            2,
            array([[ 12.,  12.,  16.],
                [ 18.,  18.,  24.]]))

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py


Help on module file_utils:

NAME
    file_utils

FUNCTIONS
    chmod(path, mode=777, recursive=False)

    chownUser(path, recursive=False, owner='user', group='user')

    compress_path(path)

    cp(s, d)

    file_ext(path, **kwargs)
        file extension finder
        kwargs:
            path (str): path or file name
        Returns:
            dotted file extension of a file
        Examples:

            >>> file_ext('/path/to_file/with_ext/test.py')
                .py

    gen_find_files(**kwargs)
        returns filenames that matches the given pattern under() a given dir


        Kwargs:
            file_pattern (str): a regex style string . 
            root (str): top level folder to begin search from. 

        Yields:
            path (generator): matching path str

        Examples:
            gen_find_files(file_pattern="*.sql", root="/mnt/data/).

            >>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
            /mnt/data/first_folder/last_folder/file.sqlite

        Reference: 
            [1] http://www.dabeaz.com/generators/

    json_flatten(y)
        flattens nested structures within a json file


        Kwargs:

            data (dict): data from nested dictionary
            kv (dict): dictionary containing key,value pairs. 

        returns:

            kv (dict): a dictionary object containing flattened structures

        Examples:
            data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}

            >>> json_flatten(data)
                {'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}

    mkdir(d, mode=511, exist_ok=True)

    mv(s, d)

    rm(d)

    rmsubtree(**kwargs)
        Clears all subfolders and files in location
        kwargs:
            location (str): target directory to remove
        Examples:

            >>> rmsubtree(location="/path/to/target_dir").

    tar_packer(tar_dir, **kwargs)
        tars up  directory 


        Kwargs:

            dir (str): top level dir
            compression (bool): compression type. gz, xz supported now
            versbose (bool): True enables verbose

        returns:

            tar_path (generator): path to tar file

        Examples:

            tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]

            >>> 
                /tmp/FZ4245_Zb/top_level_dir.tar

    tar_unpacker(tar_path, **kwargs)
        unpacks tar to a tmp directory. 


        Kwargs:

            tar_path (str): tar file path
            versbose (bool): True enables verbose

        returns:

            tmp_path (generator): extracted contents path

        Examples:

            tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").

            >>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
            /tmp/FZ4245_Zb/

    touch(d)

DATA
    DBG = <lcdk.lcdk.lcdk object>

AUTHOR
    johncook

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py


Help on module database_utils:

NAME
    database_utils

FUNCTIONS
    build_index(cursor, column, tables)
        Build an index on `column` for each table in `tables`

    drop_tables(sqlite_con, tables=[])

    fetchiter(cursor, arraysize=10000)
        Generator for cursor results

    get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_content(db, content_hash, compression='snappy', beautify=True)
        Returns decompressed content from javascript leveldb database

    get_ldb_content(ldb_addr, content_hash)

    get_leveldb(db_path, compression='snappy')
        Returns an open handle for a leveldb database
        with proper configuration settings.

    get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    list_placeholder(length, is_pg=False)
        Returns a (?,?,?,?...) string of the desired length

    optimize_db(cursor)
        Set options to make sqlite more efficient on a high memory machine

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py


problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
Help on module analysis_utils:

NAME
    analysis_utils

FUNCTIONS
    add_col_bare_script_url(js_df)
        Add a col for script URL without scheme, www and query.

    add_col_set_of_script_ps1s_from_call_stack(js_df)
        map psls to call stack in scripts

        Args: 
            js_df (pandas dataFrame): javascript table

    add_col_set_of_script_urls_from_call_stack(js_df)

    add_col_unix_timestamp(df)

    datetime_from_iso(iso_date)
        Convert from ISO.

    get_cookie(headers)
        A special case of parse headers that extracts only the cookie. 

        Args: 
            headers (list): http request headers

        Returns:

            item(string): name value pairs of a cookie

    get_func_and_script_url_from_initiator(initiator)
        Remove line number and column number from the initiator.

    get_host_from_url(url)

    get_initiator_from_call_stack(call_stack)
        Return the bottom element of the call stack.

    get_initiator_from_req_call_stack(req_call_stack)
        Return the bottom element of a request call stack.
        Request call stacks have an extra field (async_cause) at the end.

    get_requests_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http requests

    get_responses_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http responses

    get_script_url_from_initiator(initiator)
        Remove the scheme and query section of a URL.

    get_script_urls_from_call_stack_as_set(call_stack)
        Return the urls of the scripts involved in the call stack as a set.

    get_set_cookie(header)
        A special case of parse headers that returns 'Set-Cookies'

        Args: 
            headers (string): http request headers

        Returns:
             item(string): name value pairs of Set Cookie field

    get_set_of_script_hosts_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack.

    get_set_of_script_ps1s_from_call_stack(script_urls, du)
        extract a unique set of urls from a list of urls detected in scripts

        Args: 
            script_urls (list): A list of urls extracted from javascripts
            du (list): A domain utilities instance

        Returns:
             psls(set): a set of tld+1(string)

    get_set_of_script_urls_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack as a
        string.

    parse_headers(header)
        parses http header into kv pairs

        Args: 
            headers (string): http request headers

        Returns:
             kv(dict): name value pairs of http headers

    strip_scheme_www_and_query(url)
        Remove the scheme and query section of a URL.

DATA
    absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
    print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py


Help on module chi2_proportions:

NAME
    chi2_proportions

FUNCTIONS
    chi2Proportions(count, nobs)
        A wrapper for the chi2 testing proportions based upon the chi-square test

        Args:
            count (:obj `list` of :obj`int` or a single `int`):  the number of successes in nobs trials. If this is 
            array_like, then the assumption is that this represents the number of successes 
            for each independent sample 


            nobs (:obj `list` of :obj`int` or a single `int`):  The number of trials or observations, with the same length as count. 

        Returns: 
            chi2  (:obj `float`): The test statistic.

            p (:obj `float`): The p-value of the test

            dof (int) : Degrees of freedom

            expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table


        References: 
        [1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
        [2] "statsmodels.stats.proportion.proportions_chisquare"  https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
        [3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
        [4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
        [5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.

        Sample use: 
            input: 
            [10,10,20] - number of successes in trial 
            [20,20,20] - number of trials 
            chi2Proportions([10,10,20], [20,20,20])

            output: 
            (2.7777777777777777,
            0.24935220877729619,
            2,
            array([[ 12.,  12.,  16.],
                [ 18.,  18.,  24.]]))

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py


Help on module file_utils:

NAME
    file_utils

FUNCTIONS
    chmod(path, mode=777, recursive=False)

    chownUser(path, recursive=False, owner='user', group='user')

    compress_path(path)

    cp(s, d)

    file_ext(path, **kwargs)
        file extension finder
        kwargs:
            path (str): path or file name
        Returns:
            dotted file extension of a file
        Examples:

            >>> file_ext('/path/to_file/with_ext/test.py')
                .py

    gen_find_files(**kwargs)
        returns filenames that matches the given pattern under() a given dir


        Kwargs:
            file_pattern (str): a regex style string . 
            root (str): top level folder to begin search from. 

        Yields:
            path (generator): matching path str

        Examples:
            gen_find_files(file_pattern="*.sql", root="/mnt/data/).

            >>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
            /mnt/data/first_folder/last_folder/file.sqlite

        Reference: 
            [1] http://www.dabeaz.com/generators/

    json_flatten(y)
        flattens nested structures within a json file


        Kwargs:

            data (dict): data from nested dictionary
            kv (dict): dictionary containing key,value pairs. 

        returns:

            kv (dict): a dictionary object containing flattened structures

        Examples:
            data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}

            >>> json_flatten(data)
                {'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}

    mkdir(d, mode=511, exist_ok=True)

    mv(s, d)

    rm(d)

    rmsubtree(**kwargs)
        Clears all subfolders and files in location
        kwargs:
            location (str): target directory to remove
        Examples:

            >>> rmsubtree(location="/path/to/target_dir").

    tar_packer(tar_dir, **kwargs)
        tars up  directory 


        Kwargs:

            dir (str): top level dir
            compression (bool): compression type. gz, xz supported now
            versbose (bool): True enables verbose

        returns:

            tar_path (generator): path to tar file

        Examples:

            tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]

            >>> 
                /tmp/FZ4245_Zb/top_level_dir.tar

    tar_unpacker(tar_path, **kwargs)
        unpacks tar to a tmp directory. 


        Kwargs:

            tar_path (str): tar file path
            versbose (bool): True enables verbose

        returns:

            tmp_path (generator): extracted contents path

        Examples:

            tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").

            >>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
            /tmp/FZ4245_Zb/

    touch(d)

DATA
    DBG = <lcdk.lcdk.lcdk object>

AUTHOR
    johncook

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py


Help on module database_utils:

NAME
    database_utils

FUNCTIONS
    build_index(cursor, column, tables)
        Build an index on `column` for each table in `tables`

    drop_tables(sqlite_con, tables=[])

    fetchiter(cursor, arraysize=10000)
        Generator for cursor results

    get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_content(db, content_hash, compression='snappy', beautify=True)
        Returns decompressed content from javascript leveldb database

    get_ldb_content(ldb_addr, content_hash)

    get_leveldb(db_path, compression='snappy')
        Returns an open handle for a leveldb database
        with proper configuration settings.

    get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    list_placeholder(length, is_pg=False)
        Returns a (?,?,?,?...) string of the desired length

    optimize_db(cursor)
        Set options to make sqlite more efficient on a high memory machine

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py


problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
Help on module analysis_utils:

NAME
    analysis_utils

FUNCTIONS
    add_col_bare_script_url(js_df)
        Add a col for script URL without scheme, www and query.

    add_col_set_of_script_ps1s_from_call_stack(js_df)
        map psls to call stack in scripts

        Args: 
            js_df (pandas dataFrame): javascript table

    add_col_set_of_script_urls_from_call_stack(js_df)

    add_col_unix_timestamp(df)

    datetime_from_iso(iso_date)
        Convert from ISO.

    get_cookie(headers)
        A special case of parse headers that extracts only the cookie. 

        Args: 
            headers (list): http request headers

        Returns:

            item(string): name value pairs of a cookie

    get_func_and_script_url_from_initiator(initiator)
        Remove line number and column number from the initiator.

    get_host_from_url(url)

    get_initiator_from_call_stack(call_stack)
        Return the bottom element of the call stack.

    get_initiator_from_req_call_stack(req_call_stack)
        Return the bottom element of a request call stack.
        Request call stacks have an extra field (async_cause) at the end.

    get_requests_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http requests

    get_responses_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http responses

    get_script_url_from_initiator(initiator)
        Remove the scheme and query section of a URL.

    get_script_urls_from_call_stack_as_set(call_stack)
        Return the urls of the scripts involved in the call stack as a set.

    get_set_cookie(header)
        A special case of parse headers that returns 'Set-Cookies'

        Args: 
            headers (string): http request headers

        Returns:
             item(string): name value pairs of Set Cookie field

    get_set_of_script_hosts_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack.

    get_set_of_script_ps1s_from_call_stack(script_urls, du)
        extract a unique set of urls from a list of urls detected in scripts

        Args: 
            script_urls (list): A list of urls extracted from javascripts
            du (list): A domain utilities instance

        Returns:
             psls(set): a set of tld+1(string)

    get_set_of_script_urls_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack as a
        string.

    parse_headers(header)
        parses http header into kv pairs

        Args: 
            headers (string): http request headers

        Returns:
             kv(dict): name value pairs of http headers

    strip_scheme_www_and_query(url)
        Remove the scheme and query section of a URL.

DATA
    absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
    print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py


Help on module chi2_proportions:

NAME
    chi2_proportions

FUNCTIONS
    chi2Proportions(count, nobs)
        A wrapper for the chi2 testing proportions based upon the chi-square test

        Args:
            count (:obj `list` of :obj`int` or a single `int`):  the number of successes in nobs trials. If this is 
            array_like, then the assumption is that this represents the number of successes 
            for each independent sample 


            nobs (:obj `list` of :obj`int` or a single `int`):  The number of trials or observations, with the same length as count. 

        Returns: 
            chi2  (:obj `float`): The test statistic.

            p (:obj `float`): The p-value of the test

            dof (int) : Degrees of freedom

            expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table


        References: 
        [1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
        [2] "statsmodels.stats.proportion.proportions_chisquare"  https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
        [3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
        [4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
        [5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.

        Sample use: 
            input: 
            [10,10,20] - number of successes in trial 
            [20,20,20] - number of trials 
            chi2Proportions([10,10,20], [20,20,20])

            output: 
            (2.7777777777777777,
            0.24935220877729619,
            2,
            array([[ 12.,  12.,  16.],
                [ 18.,  18.,  24.]]))

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py


Help on module file_utils:

NAME
    file_utils

FUNCTIONS
    chmod(path, mode=777, recursive=False)

    chown(path, recursive=False, owner='user', group='user')

    compress_path(path)

    cp(s, d)

    file_ext(path, **kwargs)
        file extension finder
        kwargs:
            path (str): path or file name
        Returns:
            dotted file extension of a file
        Examples:

            >>> file_ext('/path/to_file/with_ext/test.py')
                .py

    gen_find_files(**kwargs)
        returns filenames that matches the given pattern under() a given dir


        Kwargs:
            file_pattern (str): a regex style string .
            root (str): top level folder to begin search from.

        Yields:
            path (generator): matching path str

        Examples:
            gen_find_files(file_pattern="*.sql", root="/mnt/data/).

            >>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
            /mnt/data/first_folder/last_folder/file.sqlite

        Reference:
            [1] http://www.dabeaz.com/generators/

    json_flatten(y)
        flattens nested structures within a json file


        Kwargs:

            data (dict): data from nested dictionary
            kv (dict): dictionary containing key,value pairs.

        returns:

            kv (dict): a dictionary object containing flattened structures

        Examples:
            data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}

            >>> json_flatten(data)
                {'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}

    mkdir(d, mode=511, exist_ok=True)

    mv(s, d)

    rm(d)

    rmsubtree(**kwargs)
        Clears all subfolders and files in location
        kwargs:
            location (str): target directory to remove
        Examples:

            >>> rmsubtree(location="/path/to/target_dir").

    tar_packer(tar_dir, **kwargs)
        tars up  directory


        Kwargs:

            dir (str): top level dir
            compression (bool): compression type. gz, xz supported now
            versbose (bool): True enables verbose

        returns:

            tar_path (generator): path to tar file

        Examples:

            tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]

            >>>
                /tmp/FZ4245_Zb/top_level_dir.tar

    tar_unpacker(tar_path, **kwargs)
        unpacks tar to a tmp directory.


        Kwargs:

            tar_path (str): tar file path
            versbose (bool): True enables verbose

        returns:

            tmp_path (generator): extracted contents path

        Examples:

            tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").

            >>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
            /tmp/FZ4245_Zb/

    touch(d)

DATA
    DBG = <lcdk.lcdk.lcdk object>

AUTHOR
    johncook

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py


Help on module database_utils:

NAME
    database_utils

FUNCTIONS
    build_index(cursor, column, tables)
        Build an index on `column` for each table in `tables`

    drop_tables(sqlite_con, tables=[])

    fetchiter(cursor, arraysize=10000)
        Generator for cursor results

    get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_content(db, content_hash, compression='snappy', beautify=True)
        Returns decompressed content from javascript leveldb database

    get_ldb_content(ldb_addr, content_hash)

    get_leveldb(db_path, compression='snappy')
        Returns an open handle for a leveldb database
        with proper configuration settings.

    get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    list_placeholder(length, is_pg=False)
        Returns a (?,?,?,?...) string of the desired length

    optimize_db(cursor)
        Set options to make sqlite more efficient on a high memory machine

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py


problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
Help on module analysis_utils:

NAME
    analysis_utils

FUNCTIONS
    add_col_bare_script_url(js_df)
        Add a col for script URL without scheme, www and query.

    add_col_set_of_script_ps1s_from_call_stack(js_df)
        map psls to call stack in scripts

        Args: 
            js_df (pandas dataFrame): javascript table

    add_col_set_of_script_urls_from_call_stack(js_df)

    add_col_unix_timestamp(df)

    datetime_from_iso(iso_date)
        Convert from ISO.

    get_cookie(headers)
        A special case of parse headers that extracts only the cookie. 

        Args: 
            headers (list): http request headers

        Returns:

            item(string): name value pairs of a cookie

    get_func_and_script_url_from_initiator(initiator)
        Remove line number and column number from the initiator.

    get_host_from_url(url)

    get_initiator_from_call_stack(call_stack)
        Return the bottom element of the call stack.

    get_initiator_from_req_call_stack(req_call_stack)
        Return the bottom element of a request call stack.
        Request call stacks have an extra field (async_cause) at the end.

    get_requests_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http requests

    get_responses_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http responses

    get_script_url_from_initiator(initiator)
        Remove the scheme and query section of a URL.

    get_script_urls_from_call_stack_as_set(call_stack)
        Return the urls of the scripts involved in the call stack as a set.

    get_set_cookie(header)
        A special case of parse headers that returns 'Set-Cookies'

        Args: 
            headers (string): http request headers

        Returns:
             item(string): name value pairs of Set Cookie field

    get_set_of_script_hosts_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack.

    get_set_of_script_ps1s_from_call_stack(script_urls, du)
        extract a unique set of urls from a list of urls detected in scripts

        Args: 
            script_urls (list): A list of urls extracted from javascripts
            du (list): A domain utilities instance

        Returns:
             psls(set): a set of tld+1(string)

    get_set_of_script_urls_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack as a
        string.

    parse_headers(header)
        parses http header into kv pairs

        Args: 
            headers (string): http request headers

        Returns:
             kv(dict): name value pairs of http headers

    strip_scheme_www_and_query(url)
        Remove the scheme and query section of a URL.

DATA
    absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
    print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py


Help on module chi2_proportions:

NAME
    chi2_proportions

FUNCTIONS
    chi2Proportions(count, nobs)
        A wrapper for the chi2 testing proportions based upon the chi-square test

        Args:
            count (:obj `list` of :obj`int` or a single `int`):  the number of successes in nobs trials. If this is 
            array_like, then the assumption is that this represents the number of successes 
            for each independent sample 


            nobs (:obj `list` of :obj`int` or a single `int`):  The number of trials or observations, with the same length as count. 

        Returns: 
            chi2  (:obj `float`): The test statistic.

            p (:obj `float`): The p-value of the test

            dof (int) : Degrees of freedom

            expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table


        References: 
        [1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
        [2] "statsmodels.stats.proportion.proportions_chisquare"  https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
        [3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
        [4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
        [5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.

        Sample use: 
            input: 
            [10,10,20] - number of successes in trial 
            [20,20,20] - number of trials 
            chi2Proportions([10,10,20], [20,20,20])

            output: 
            (2.7777777777777777,
            0.24935220877729619,
            2,
            array([[ 12.,  12.,  16.],
                [ 18.,  18.,  24.]]))

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py


Help on module file_utils:

NAME
    file_utils

FUNCTIONS
    chmod(path, mode=777, recursive=False)

    chown(path, recursive=False, owner='user', group='user')

    compress_path(path)

    cp(s, d)

    file_ext(path, **kwargs)
        file extension finder
        kwargs:
            path (str): path or file name
        Returns:
            dotted file extension of a file
        Examples:

            >>> file_ext('/path/to_file/with_ext/test.py')
                .py

    gen_find_files(**kwargs)
        returns filenames that matches the given pattern under() a given dir


        Kwargs:
            file_pattern (str): a regex style string .
            root (str): top level folder to begin search from.

        Yields:
            path (generator): matching path str

        Examples:
            gen_find_files(file_pattern="*.sql", root="/mnt/data/).

            >>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
            /mnt/data/first_folder/last_folder/file.sqlite

        Reference:
            [1] http://www.dabeaz.com/generators/

    json_flatten(y)
        flattens nested structures within a json file


        Kwargs:

            data (dict): data from nested dictionary
            kv (dict): dictionary containing key,value pairs.

        returns:

            kv (dict): a dictionary object containing flattened structures

        Examples:
            data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}

            >>> json_flatten(data)
                {'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}

    mkdir(d, mode=511, exist_ok=True)

    mv(s, d)

    rm(d)

    rmsubtree(**kwargs)
        Clears all subfolders and files in location
        kwargs:
            location (str): target directory to remove
        Examples:

            >>> rmsubtree(location="/path/to/target_dir").

    tar_packer(tar_dir, **kwargs)
        tars up  directory


        Kwargs:

            dir (str): top level dir
            compression (bool): compression type. gz, xz supported now
            versbose (bool): True enables verbose

        returns:

            tar_path (generator): path to tar file

        Examples:

            tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]

            >>>
                /tmp/FZ4245_Zb/top_level_dir.tar

    tar_unpacker(tar_path, **kwargs)
        unpacks tar to a tmp directory.


        Kwargs:

            tar_path (str): tar file path
            versbose (bool): True enables verbose

        returns:

            tmp_path (generator): extracted contents path

        Examples:

            tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").

            >>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
            /tmp/FZ4245_Zb/

    touch(d)

DATA
    DBG = <lcdk.lcdk.lcdk object>

AUTHOR
    johncook

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py


Help on module database_utils:

NAME
    database_utils

FUNCTIONS
    build_index(cursor, column, tables)
        Build an index on `column` for each table in `tables`

    drop_tables(sqlite_con, tables=[])

    fetchiter(cursor, arraysize=10000)
        Generator for cursor results

    get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_content(db, content_hash, compression='snappy', beautify=True)
        Returns decompressed content from javascript leveldb database

    get_ldb_content(ldb_addr, content_hash)

    get_leveldb(db_path, compression='snappy')
        Returns an open handle for a leveldb database
        with proper configuration settings.

    get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    list_placeholder(length, is_pg=False)
        Returns a (?,?,?,?...) string of the desired length

    optimize_db(cursor)
        Set options to make sqlite more efficient on a high memory machine

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py


problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
Help on module analysis_utils:

NAME
    analysis_utils

FUNCTIONS
    add_col_bare_script_url(js_df)
        Add a col for script URL without scheme, www and query.

    add_col_set_of_script_ps1s_from_call_stack(js_df)
        map psls to call stack in scripts

        Args: 
            js_df (pandas dataFrame): javascript table

    add_col_set_of_script_urls_from_call_stack(js_df)

    add_col_unix_timestamp(df)

    datetime_from_iso(iso_date)
        Convert from ISO.

    get_cookie(headers)
        A special case of parse headers that extracts only the cookie. 

        Args: 
            headers (list): http request headers

        Returns:

            item(string): name value pairs of a cookie

    get_func_and_script_url_from_initiator(initiator)
        Remove line number and column number from the initiator.

    get_host_from_url(url)

    get_initiator_from_call_stack(call_stack)
        Return the bottom element of the call stack.

    get_initiator_from_req_call_stack(req_call_stack)
        Return the bottom element of a request call stack.
        Request call stacks have an extra field (async_cause) at the end.

    get_requests_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http requests

    get_responses_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http responses

    get_script_url_from_initiator(initiator)
        Remove the scheme and query section of a URL.

    get_script_urls_from_call_stack_as_set(call_stack)
        Return the urls of the scripts involved in the call stack as a set.

    get_set_cookie(header)
        A special case of parse headers that returns 'Set-Cookies'

        Args: 
            headers (string): http request headers

        Returns:
             item(string): name value pairs of Set Cookie field

    get_set_of_script_hosts_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack.

    get_set_of_script_ps1s_from_call_stack(script_urls, du)
        extract a unique set of urls from a list of urls detected in scripts

        Args: 
            script_urls (list): A list of urls extracted from javascripts
            du (list): A domain utilities instance

        Returns:
             psls(set): a set of tld+1(string)

    get_set_of_script_urls_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack as a
        string.

    parse_headers(header)
        parses http header into kv pairs

        Args: 
            headers (string): http request headers

        Returns:
             kv(dict): name value pairs of http headers

    strip_scheme_www_and_query(url)
        Remove the scheme and query section of a URL.

DATA
    absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
    print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py


Help on module chi2_proportions:

NAME
    chi2_proportions

FUNCTIONS
    chi2Proportions(count, nobs)
        A wrapper for the chi2 testing proportions based upon the chi-square test

        Args:
            count (:obj `list` of :obj`int` or a single `int`):  the number of successes in nobs trials. If this is 
            array_like, then the assumption is that this represents the number of successes 
            for each independent sample 


            nobs (:obj `list` of :obj`int` or a single `int`):  The number of trials or observations, with the same length as count. 

        Returns: 
            chi2  (:obj `float`): The test statistic.

            p (:obj `float`): The p-value of the test

            dof (int) : Degrees of freedom

            expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table


        References: 
        [1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
        [2] "statsmodels.stats.proportion.proportions_chisquare"  https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
        [3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
        [4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
        [5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.

        Sample use: 
            input: 
            [10,10,20] - number of successes in trial 
            [20,20,20] - number of trials 
            chi2Proportions([10,10,20], [20,20,20])

            output: 
            (2.7777777777777777,
            0.24935220877729619,
            2,
            array([[ 12.,  12.,  16.],
                [ 18.,  18.,  24.]]))

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py


Help on module file_utils:

NAME
    file_utils

FUNCTIONS
    chmod(path, mode=777, recursive=False)

    chown(path, recursive=False, owner='user', group='user')

    compress_path(path)

    cp(s, d)

    file_ext(path, **kwargs)
        file extension finder
        kwargs:
            path (str): path or file name
        Returns:
            dotted file extension of a file
        Examples:

            >>> file_ext('/path/to_file/with_ext/test.py')
                .py

    gen_find_files(**kwargs)
        returns filenames that matches the given pattern under() a given dir


        Kwargs:
            file_pattern (str): a regex style string .
            root (str): top level folder to begin search from.

        Yields:
            path (generator): matching path str

        Examples:
            gen_find_files(file_pattern="*.sql", root="/mnt/data/).

            >>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
            /mnt/data/first_folder/last_folder/file.sqlite

        Reference:
            [1] http://www.dabeaz.com/generators/

    json_flatten(y)
        flattens nested structures within a json file


        Kwargs:

            data (dict): data from nested dictionary
            kv (dict): dictionary containing key,value pairs.

        returns:

            kv (dict): a dictionary object containing flattened structures

        Examples:
            data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}

            >>> json_flatten(data)
                {'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}

    mkdir(d, mode=511, exist_ok=True)

    mv(s, d)

    rm(d)

    rmsubtree(**kwargs)
        Clears all subfolders and files in location
        kwargs:
            location (str): target directory to remove
        Examples:

            >>> rmsubtree(location="/path/to/target_dir").

    tar_packer(tar_dir, **kwargs)
        tars up  directory


        Kwargs:

            dir (str): top level dir
            compression (bool): compression type. gz, xz supported now
            versbose (bool): True enables verbose

        returns:

            tar_path (generator): path to tar file

        Examples:

            tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]

            >>>
                /tmp/FZ4245_Zb/top_level_dir.tar

    tar_unpacker(tar_path, **kwargs)
        unpacks tar to a tmp directory.


        Kwargs:

            tar_path (str): tar file path
            versbose (bool): True enables verbose

        returns:

            tmp_path (generator): extracted contents path

        Examples:

            tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").

            >>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
            /tmp/FZ4245_Zb/

    touch(d)

DATA
    DBG = <lcdk.lcdk.lcdk object>

AUTHOR
    johncook

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py


Help on module database_utils:

NAME
    database_utils

FUNCTIONS
    build_index(cursor, column, tables)
        Build an index on `column` for each table in `tables`

    drop_tables(sqlite_con, tables=[])

    fetchiter(cursor, arraysize=10000)
        Generator for cursor results

    get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_content(db, content_hash, compression='snappy', beautify=True)
        Returns decompressed content from javascript leveldb database

    get_ldb_content(ldb_addr, content_hash)

    get_leveldb(db_path, compression='snappy')
        Returns an open handle for a leveldb database
        with proper configuration settings.

    get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    list_placeholder(length, is_pg=False)
        Returns a (?,?,?,?...) string of the desired length

    optimize_db(cursor)
        Set options to make sqlite more efficient on a high memory machine

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py


problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
Help on module analysis_utils:

NAME
    analysis_utils

FUNCTIONS
    add_col_bare_script_url(js_df)
        Add a col for script URL without scheme, www and query.

    add_col_set_of_script_ps1s_from_call_stack(js_df)
        map psls to call stack in scripts

        Args: 
            js_df (pandas dataFrame): javascript table

    add_col_set_of_script_urls_from_call_stack(js_df)

    add_col_unix_timestamp(df)

    datetime_from_iso(iso_date)
        Convert from ISO.

    get_cookie(headers)
        A special case of parse headers that extracts only the cookie. 

        Args: 
            headers (list): http request headers

        Returns:

            item(string): name value pairs of a cookie

    get_func_and_script_url_from_initiator(initiator)
        Remove line number and column number from the initiator.

    get_host_from_url(url)

    get_initiator_from_call_stack(call_stack)
        Return the bottom element of the call stack.

    get_initiator_from_req_call_stack(req_call_stack)
        Return the bottom element of a request call stack.
        Request call stacks have an extra field (async_cause) at the end.

    get_requests_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http requests

    get_responses_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http responses

    get_script_url_from_initiator(initiator)
        Remove the scheme and query section of a URL.

    get_script_urls_from_call_stack_as_set(call_stack)
        Return the urls of the scripts involved in the call stack as a set.

    get_set_cookie(header)
        A special case of parse headers that returns 'Set-Cookies'

        Args: 
            headers (string): http request headers

        Returns:
             item(string): name value pairs of Set Cookie field

    get_set_of_script_hosts_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack.

    get_set_of_script_ps1s_from_call_stack(script_urls, du)
        extract a unique set of urls from a list of urls detected in scripts

        Args: 
            script_urls (list): A list of urls extracted from javascripts
            du (list): A domain utilities instance

        Returns:
             psls(set): a set of tld+1(string)

    get_set_of_script_urls_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack as a
        string.

    parse_headers(header)
        parses http header into kv pairs

        Args: 
            headers (string): http request headers

        Returns:
             kv(dict): name value pairs of http headers

    strip_scheme_www_and_query(url)
        Remove the scheme and query section of a URL.

DATA
    absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
    print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py


Help on module chi2_proportions:

NAME
    chi2_proportions

FUNCTIONS
    chi2Proportions(count, nobs)
        A wrapper for the chi2 testing proportions based upon the chi-square test

        Args:
            count (:obj `list` of :obj`int` or a single `int`):  the number of successes in nobs trials. If this is 
            array_like, then the assumption is that this represents the number of successes 
            for each independent sample 


            nobs (:obj `list` of :obj`int` or a single `int`):  The number of trials or observations, with the same length as count. 

        Returns: 
            chi2  (:obj `float`): The test statistic.

            p (:obj `float`): The p-value of the test

            dof (int) : Degrees of freedom

            expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table


        References: 
        [1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
        [2] "statsmodels.stats.proportion.proportions_chisquare"  https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
        [3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
        [4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
        [5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.

        Sample use: 
            input: 
            [10,10,20] - number of successes in trial 
            [20,20,20] - number of trials 
            chi2Proportions([10,10,20], [20,20,20])

            output: 
            (2.7777777777777777,
            0.24935220877729619,
            2,
            array([[ 12.,  12.,  16.],
                [ 18.,  18.,  24.]]))

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py


Help on module file_utils:

NAME
    file_utils

FUNCTIONS
    chmod(path, mode=777, recursive=False)

    chown(path, recursive=False, owner='user', group='user')

    compress_path(path)

    cp(s, d)

    file_ext(path, **kwargs)
        file extension finder
        kwargs:
            path (str): path or file name
        Returns:
            dotted file extension of a file
        Examples:

            >>> file_ext('/path/to_file/with_ext/test.py')
                .py

    gen_find_files(**kwargs)
        returns filenames that matches the given pattern under() a given dir


        Kwargs:
            file_pattern (str): a regex style string .
            root (str): top level folder to begin search from.

        Yields:
            path (generator): matching path str

        Examples:
            gen_find_files(file_pattern="*.sql", root="/mnt/data/).

            >>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
            /mnt/data/first_folder/last_folder/file.sqlite

        Reference:
            [1] http://www.dabeaz.com/generators/

    json_flatten(y)
        flattens nested structures within a json file


        Kwargs:

            data (dict): data from nested dictionary
            kv (dict): dictionary containing key,value pairs.

        returns:

            kv (dict): a dictionary object containing flattened structures

        Examples:
            data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}

            >>> json_flatten(data)
                {'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}

    mkdir(d, mode=511, exist_ok=True)

    mv(s, d)

    rm(d)

    rmsubtree(**kwargs)
        Clears all subfolders and files in location
        kwargs:
            location (str): target directory to remove
        Examples:

            >>> rmsubtree(location="/path/to/target_dir").

    tar_packer(tar_dir, **kwargs)
        tars up  directory


        Kwargs:

            dir (str): top level dir
            compression (bool): compression type. gz, xz supported now
            versbose (bool): True enables verbose

        returns:

            tar_path (generator): path to tar file

        Examples:

            tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]

            >>>
                /tmp/FZ4245_Zb/top_level_dir.tar

    tar_unpacker(tar_path, **kwargs)
        unpacks tar to a tmp directory.


        Kwargs:

            tar_path (str): tar file path
            versbose (bool): True enables verbose

        returns:

            tmp_path (generator): extracted contents path

        Examples:

            tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").

            >>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
            /tmp/FZ4245_Zb/

    touch(d)

AUTHOR
    johncook

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py


Help on module database_utils:

NAME
    database_utils

FUNCTIONS
    build_index(cursor, column, tables)
        Build an index on `column` for each table in `tables`

    drop_tables(sqlite_con, tables=[])

    fetchiter(cursor, arraysize=10000)
        Generator for cursor results

    get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_content(db, content_hash, compression='snappy', beautify=True)
        Returns decompressed content from javascript leveldb database

    get_ldb_content(ldb_addr, content_hash)

    get_leveldb(db_path, compression='snappy')
        Returns an open handle for a leveldb database
        with proper configuration settings.

    get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    list_placeholder(length, is_pg=False)
        Returns a (?,?,?,?...) string of the desired length

    optimize_db(cursor)
        Set options to make sqlite more efficient on a high memory machine

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py


problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
Help on module analysis_utils:

NAME
    analysis_utils

FUNCTIONS
    add_col_bare_script_url(js_df)
        Add a col for script URL without scheme, www and query.

    add_col_set_of_script_ps1s_from_call_stack(js_df)
        map psls to call stack in scripts

        Args: 
            js_df (pandas dataFrame): javascript table

    add_col_set_of_script_urls_from_call_stack(js_df)

    add_col_unix_timestamp(df)

    datetime_from_iso(iso_date)
        Convert from ISO.

    get_cookie(headers)
        A special case of parse headers that extracts only the cookie. 

        Args: 
            headers (list): http request headers

        Returns:

            item(string): name value pairs of a cookie

    get_func_and_script_url_from_initiator(initiator)
        Remove line number and column number from the initiator.

    get_host_from_url(url)

    get_initiator_from_call_stack(call_stack)
        Return the bottom element of the call stack.

    get_initiator_from_req_call_stack(req_call_stack)
        Return the bottom element of a request call stack.
        Request call stacks have an extra field (async_cause) at the end.

    get_requests_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http requests

    get_responses_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http responses

    get_script_url_from_initiator(initiator)
        Remove the scheme and query section of a URL.

    get_script_urls_from_call_stack_as_set(call_stack)
        Return the urls of the scripts involved in the call stack as a set.

    get_set_cookie(header)
        A special case of parse headers that returns 'Set-Cookies'

        Args: 
            headers (string): http request headers

        Returns:
             item(string): name value pairs of Set Cookie field

    get_set_of_script_hosts_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack.

    get_set_of_script_ps1s_from_call_stack(script_urls, du)
        extract a unique set of urls from a list of urls detected in scripts

        Args: 
            script_urls (list): A list of urls extracted from javascripts
            du (list): A domain utilities instance

        Returns:
             psls(set): a set of tld+1(string)

    get_set_of_script_urls_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack as a
        string.

    parse_headers(header)
        parses http header into kv pairs

        Args: 
            headers (string): http request headers

        Returns:
             kv(dict): name value pairs of http headers

    strip_scheme_www_and_query(url)
        Remove the scheme and query section of a URL.

DATA
    absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
    print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py


Help on module chi2_proportions:

NAME
    chi2_proportions

FUNCTIONS
    chi2Proportions(count, nobs)
        A wrapper for the chi2 testing proportions based upon the chi-square test

        Args:
            count (:obj `list` of :obj`int` or a single `int`):  the number of successes in nobs trials. If this is 
            array_like, then the assumption is that this represents the number of successes 
            for each independent sample 


            nobs (:obj `list` of :obj`int` or a single `int`):  The number of trials or observations, with the same length as count. 

        Returns: 
            chi2  (:obj `float`): The test statistic.

            p (:obj `float`): The p-value of the test

            dof (int) : Degrees of freedom

            expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table


        References: 
        [1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
        [2] "statsmodels.stats.proportion.proportions_chisquare"  https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
        [3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
        [4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
        [5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.

        Sample use: 
            input: 
            [10,10,20] - number of successes in trial 
            [20,20,20] - number of trials 
            chi2Proportions([10,10,20], [20,20,20])

            output: 
            (2.7777777777777777,
            0.24935220877729619,
            2,
            array([[ 12.,  12.,  16.],
                [ 18.,  18.,  24.]]))

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py


Help on module chi2_proportions:

NAME
    chi2_proportions

FUNCTIONS
    chi2Proportions(count, nobs)
        A wrapper for the chi2 testing proportions based upon the chi-square test

        Args:
            count (:obj `list` of :obj`int` or a single `int`):  the number of successes in nobs trials. If this is 
            array_like, then the assumption is that this represents the number of successes 
            for each independent sample 


            nobs (:obj `list` of :obj`int` or a single `int`):  The number of trials or observations, with the same length as count. 

        Returns: 
            chi2  (:obj `float`): The test statistic.

            p (:obj `float`): The p-value of the test

            dof (int) : Degrees of freedom

            expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table


        References: 
        [1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
        [2] "statsmodels.stats.proportion.proportions_chisquare"  https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
        [3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
        [4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
        [5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.

        Sample use: 
            input: 
            [10,10,20] - number of successes in trial 
            [20,20,20] - number of trials 
            chi2Proportions([10,10,20], [20,20,20])

            output: 
            (2.7777777777777777,
            0.24935220877729619,
            2,
            array([[ 12.,  12.,  16.],
                [ 18.,  18.,  24.]]))

FILE
    /home/john/git/uiowa-irl/uiowa-irl-utils/irlutils/irlutils/stats/tests/proportions/chi2_proportions.py


Help on module file_utils:

NAME
    file_utils

FUNCTIONS
    chmod(path, mode=777, recursive=False)

    chown(path, recursive=False, owner='user', group='user')

    compress_path(path)

    cp(s, d)

    file_ext(path, **kwargs)
        file extension finder
        kwargs:
            path (str): path or file name
        Returns:
            dotted file extension of a file
        Examples:

            >>> file_ext('/path/to_file/with_ext/test.py')
                .py

    gen_find_files(**kwargs)
        returns filenames that matches the given pattern under() a given dir


        Kwargs:
            file_pattern (str): a regex style string .
            root (str): top level folder to begin search from.

        Yields:
            path (generator): matching path str

        Examples:
            gen_find_files(file_pattern="*.sql", root="/mnt/data/).

            >>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
            /mnt/data/first_folder/last_folder/file.sqlite

        Reference:
            [1] http://www.dabeaz.com/generators/

    json_flatten(y)
        flattens nested structures within a json file


        Kwargs:

            data (dict): data from nested dictionary
            kv (dict): dictionary containing key,value pairs.

        returns:

            kv (dict): a dictionary object containing flattened structures

        Examples:
            data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}

            >>> json_flatten(data)
                {'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}

    mkdir(d, mode=511, exist_ok=True)

    mv(s, d)

    rm(d)

    rmsubtree(**kwargs)
        Clears all subfolders and files in location
        kwargs:
            location (str): target directory to remove
        Examples:

            >>> rmsubtree(location="/path/to/target_dir").

    tar_packer(tar_dir, **kwargs)
        tars up  directory


        Kwargs:

            dir (str): top level dir
            compression (bool): compression type. gz, xz supported now
            versbose (bool): True enables verbose

        returns:

            tar_path (generator): path to tar file

        Examples:

            tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]

            >>>
                /tmp/FZ4245_Zb/top_level_dir.tar

    tar_unpacker(tar_path, **kwargs)
        unpacks tar to a tmp directory.


        Kwargs:

            tar_path (str): tar file path
            versbose (bool): True enables verbose

        returns:

            tmp_path (generator): extracted contents path

        Examples:

            tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").

            >>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
            /tmp/FZ4245_Zb/

    touch(d)

AUTHOR
    johncook

FILE
    /home/john/git/uiowa-irl/uiowa-irl-utils/irlutils/irlutils/file/file_utils.py


Help on module analysis_utils:

NAME
    analysis_utils

FUNCTIONS
    add_col_bare_script_url(js_df)
        Add a col for script URL without scheme, www and query.

    add_col_set_of_script_ps1s_from_call_stack(js_df)
        map psls to call stack in scripts

        Args: 
            js_df (pandas dataFrame): javascript table

    add_col_set_of_script_urls_from_call_stack(js_df)

    add_col_unix_timestamp(df)

    datetime_from_iso(iso_date)
        Convert from ISO.

    get_cookie(headers)
        A special case of parse headers that extracts only the cookie. 

        Args: 
            headers (list): http request headers

        Returns:

            item(string): name value pairs of a cookie

    get_func_and_script_url_from_initiator(initiator)
        Remove line number and column number from the initiator.

    get_host_from_url(url)

    get_initiator_from_call_stack(call_stack)
        Return the bottom element of the call stack.

    get_initiator_from_req_call_stack(req_call_stack)
        Return the bottom element of a request call stack.
        Request call stacks have an extra field (async_cause) at the end.

    get_requests_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http requests

    get_responses_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http responses

    get_script_url_from_initiator(initiator)
        Remove the scheme and query section of a URL.

    get_script_urls_from_call_stack_as_set(call_stack)
        Return the urls of the scripts involved in the call stack as a set.

    get_set_cookie(header)
        A special case of parse headers that returns 'Set-Cookies'

        Args: 
            headers (string): http request headers

        Returns:
             item(string): name value pairs of Set Cookie field

    get_set_of_script_hosts_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack.

    get_set_of_script_ps1s_from_call_stack(script_urls, du)
        extract a unique set of urls from a list of urls detected in scripts

        Args: 
            script_urls (list): A list of urls extracted from javascripts
            du (list): A domain utilities instance

        Returns:
             psls(set): a set of tld+1(string)

    get_set_of_script_urls_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack as a
        string.

    parse_headers(header)
        parses http header into kv pairs

        Args: 
            headers (string): http request headers

        Returns:
             kv(dict): name value pairs of http headers

    strip_scheme_www_and_query(url)
        Remove the scheme and query section of a URL.

DATA
    absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
    print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...

FILE
    /home/john/git/uiowa-irl/uiowa-irl-utils/irlutils/irlutils/url/crawl/analysis_utils.py


Help on module database_utils:

NAME
    database_utils

FUNCTIONS
    build_index(cursor, column, tables)
        Build an index on `column` for each table in `tables`

    drop_tables(sqlite_con, tables=[])

    fetchiter(cursor, arraysize=10000)
        Generator for cursor results

    get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_content(db, content_hash, compression='snappy', beautify=True)
        Returns decompressed content from javascript leveldb database

    get_ldb_content(ldb_addr, content_hash)

    get_leveldb(db_path, compression='snappy')
        Returns an open handle for a leveldb database
        with proper configuration settings.

    get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    list_placeholder(length, is_pg=False)
        Returns a (?,?,?,?...) string of the desired length

    optimize_db(cursor)
        Set options to make sqlite more efficient on a high memory machine

FILE
    /home/john/git/uiowa-irl/uiowa-irl-utils/irlutils/irlutils/url/crawl/database_utils.py


Help on module blocklist_utils:

NAME
    blocklist_utils

FUNCTIONS
    get_option_dict(request)
        Build an options dict for BlockListParser

        Parameters
        ----------
        request : sqlite3.Row
            A single HTTP request record pulled from OpenWPM's http_requests table
        public_suffix_list : PublicSuffixList
            An instance of PublicSuffixList()

               BINARY_OPTIONS = [
            "script",
            "image",
            "stylesheet",
            "object",
            "xmlhttprequest",
            "object-subrequest",
            "subdocument",
            "document",
            "elemhide",
            "other",
            "background",
            "xbl",
            "ping",
            "dtd",
            "media",
            "third-party",
            "match-case",
            "collapse",
            "donottrack",
        ]

        Returns
        -------
        dict
            An "options" dictionary for use with BlockListParser
            refs: [1] https://github.com/MoonchildProductions/UXP/blob/master/dom/base/nsIContentPolicyBase.idl
                  [2] https://adblockplus.org/en/filters#options
                  [3]

FILE
    /home/john/git/uiowa-irl/uiowa-irl-utils/irlutils/irlutils/url/crawl/blocklist_utils.py


Help on module domain_utils:

NAME
    domain_utils

FUNCTIONS
    get_hostname(url)
        strips out the hostname from a url

    get_ps_plus_1(url, **kwargs)
        Returns the PS+1 of the url. This will also return
        an IP address if the hostname of the url is a valid
        IP address.

        An (optional) PublicSuffixList object can be passed with keyword arg 'psl',
        otherwise a version cached in the system temp directory is used.

    get_psl(location='public_suffix_list.dat')
        Grabs an updated public suffix list.

    get_stripped_query_string(url)

    get_stripped_url(url, scheme=False)
        Returns a url stripped to (scheme)?+hostname+path

    get_stripped_urls(urls, scheme=False)
        Returns a set (or list) of urls stripped to (scheme)?+hostname+path

    hostname_subparts(url, include_ps=False, **kwargs)
        Returns a list of slices of a url's hostname down to the PS+1

        If `include_ps` is set, the hostname slices will include the public suffix

        For example: http://a.b.c.d.com/path?query#frag would yield:
            [a.b.c.d.com, b.c.d.com, c.d.com, d.com] if include_ps == False
            [a.b.c.d.com, b.c.d.com, c.d.com, d.com, com] if include_ps == True

        An (optional) PublicSuffixList object can be passed with keyword arg 'psl'.
        otherwise a version cached in the system temp directory is used.

    is_ip_address(hostname)
        Check if the given string is a valid IP address

    load_psl(function)

DATA
    PSL_CACHE_LOC = 'public_suffix_list.dat'
    absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
    print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...

FILE
    /home/john/git/uiowa-irl/uiowa-irl-utils/irlutils/irlutils/url/crawl/domain_utils.py


Help on module file_utils:

NAME
    file_utils

FUNCTIONS
    chmod(path, mode=777, recursive=False)

    chown(path, recursive=False, owner='user', group='user')

    compress_path(path)

    cp(s, d)

    file_ext(path, **kwargs)
        file extension finder
        kwargs:
            path (str): path or file name
        Returns:
            dotted file extension of a file
        Examples:

            >>> file_ext('/path/to_file/with_ext/test.py')
                .py

    gen_find_files(**kwargs)
        returns filenames that matches the given pattern under() a given dir


        Kwargs:
            file_pattern (str): a regex style string .
            root (str): top level folder to begin search from.

        Yields:
            path (generator): matching path str

        Examples:
            gen_find_files(file_pattern="*.sql", root="/mnt/data/).

            >>> gen_find_files(file_pattern="*.sql", root="/mnt/data/).__next__()
            /mnt/data/first_folder/last_folder/file.sqlite

        Reference:
            [1] http://www.dabeaz.com/generators/

    json_flatten(y)
        flattens nested structures within a json file


        Kwargs:

            data (dict): data from nested dictionary
            kv (dict): dictionary containing key,value pairs.

        returns:

            kv (dict): a dictionary object containing flattened structures

        Examples:
            data = {'k1':{'kv1':['v1', 'v2'], 'kv2': 'v3'}}

            >>> json_flatten(data)
                {'k1_kv1_0': 'v1', 'k1_kv1_1': 'v2', 'k1_kv2': 'v3'}

    mkdir(d, mode=511, exist_ok=True)

    mv(s, d)

    rm(d)

    rmsubtree(**kwargs)
        Clears all subfolders and files in location
        kwargs:
            location (str): target directory to remove
        Examples:

            >>> rmsubtree(location="/path/to/target_dir").

    tar_packer(tar_dir, **kwargs)
        tars up  directory


        Kwargs:

            dir (str): top level dir
            compression (bool): compression type. gz, xz supported now
            versbose (bool): True enables verbose

        returns:

            tar_path (generator): path to tar file

        Examples:

            tar_packer(dir="/path/to/top_level_dir", [compression=gz|xz]

            >>>
                /tmp/FZ4245_Zb/top_level_dir.tar

    tar_unpacker(tar_path, **kwargs)
        unpacks tar to a tmp directory.


        Kwargs:

            tar_path (str): tar file path
            versbose (bool): True enables verbose

        returns:

            tmp_path (generator): extracted contents path

        Examples:

            tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").

            >>> tar_unpacker(tar_path="/mnt/data/tarfile.tar.gz").
            /tmp/FZ4245_Zb/

    touch(d)

AUTHOR
    johncook

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/file/file_utils.py


Help on module database_utils:

NAME
    database_utils

FUNCTIONS
    build_index(cursor, column, tables)
        Build an index on `column` for each table in `tables`

    drop_tables(sqlite_con, tables=[])

    fetchiter(cursor, arraysize=10000)
        Generator for cursor results

    get_channel_content(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_channel_content_with_hash(visit_id, channel_id, sqlite_cur, ldb_con, beautify=True)
        Return javascript content for given channel_id.
        Parameters
        ----------
        visit_id : int
            `visit_id` of the page visit where this URL was loaded
        channel_id : string
            `channel_id` to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output

    get_content(db, content_hash, compression='snappy', beautify=True)
        Returns decompressed content from javascript leveldb database

    get_ldb_content(ldb_addr, content_hash)

    get_leveldb(db_path, compression='snappy')
        Returns an open handle for a leveldb database
        with proper configuration settings.

    get_url_content(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    get_url_content_with_hash(url, sqlite_cur, ldb_con, beautify=True, visit_id=None)
        Return javascript content for given url.
        Parameters
        ----------
        url : string
            url to search content hash for
        sqlite_cur : sqlite3.Cursor
            cursor for crawl database
        ldb_con : plyvel.DB
            leveldb database storing javascript content
        beautify : boolean
            Control weather or not to beautify output
        visit_id : int
            (optional) `visit_id` of the page visit where this URL was loaded

    list_placeholder(length, is_pg=False)
        Returns a (?,?,?,?...) string of the desired length

    optimize_db(cursor)
        Set options to make sqlite more efficient on a high memory machine

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/database_utils.py


problem in irlutils/url/crawl/domain_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
problem in irlutils/url/crawl/blocklist_utils.py - ModuleNotFoundError: No module named 'publicsuffix2'
Help on module analysis_utils:

NAME
    analysis_utils

FUNCTIONS
    add_col_bare_script_url(js_df)
        Add a col for script URL without scheme, www and query.

    add_col_set_of_script_ps1s_from_call_stack(js_df)
        map psls to call stack in scripts

        Args: 
            js_df (pandas dataFrame): javascript table

    add_col_set_of_script_urls_from_call_stack(js_df)

    add_col_unix_timestamp(df)

    datetime_from_iso(iso_date)
        Convert from ISO.

    get_cookie(headers)
        A special case of parse headers that extracts only the cookie. 

        Args: 
            headers (list): http request headers

        Returns:

            item(string): name value pairs of a cookie

    get_func_and_script_url_from_initiator(initiator)
        Remove line number and column number from the initiator.

    get_host_from_url(url)

    get_initiator_from_call_stack(call_stack)
        Return the bottom element of the call stack.

    get_initiator_from_req_call_stack(req_call_stack)
        Return the bottom element of a request call stack.
        Request call stacks have an extra field (async_cause) at the end.

    get_requests_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http requests

    get_responses_from_visits(con, visit_ids)
        Extact http requests matching visit_ids

        Args: 
            con (sqlite3.connection): A connection to a sqlite data base
            visit_ids (list): A list of ids for from each web visit

        Returns:
             df(pandas DataFrame): A table containing visits that conincide with http responses

    get_script_url_from_initiator(initiator)
        Remove the scheme and query section of a URL.

    get_script_urls_from_call_stack_as_set(call_stack)
        Return the urls of the scripts involved in the call stack as a set.

    get_set_cookie(header)
        A special case of parse headers that returns 'Set-Cookies'

        Args: 
            headers (string): http request headers

        Returns:
             item(string): name value pairs of Set Cookie field

    get_set_of_script_hosts_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack.

    get_set_of_script_ps1s_from_call_stack(script_urls, du)
        extract a unique set of urls from a list of urls detected in scripts

        Args: 
            script_urls (list): A list of urls extracted from javascripts
            du (list): A domain utilities instance

        Returns:
             psls(set): a set of tld+1(string)

    get_set_of_script_urls_from_call_stack(call_stack)
        Return the urls of the scripts involved in the call stack as a
        string.

    parse_headers(header)
        parses http header into kv pairs

        Args: 
            headers (string): http request headers

        Returns:
             kv(dict): name value pairs of http headers

    strip_scheme_www_and_query(url)
        Remove the scheme and query section of a URL.

DATA
    absolute_import = _Feature((2, 5, 0, 'alpha', 1), (3, 0, 0, 'alpha', 0...
    print_function = _Feature((2, 6, 0, 'alpha', 2), (3, 0, 0, 'alpha', 0)...

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/url/crawl/analysis_utils.py


Help on module chi2_proportions:

NAME
    chi2_proportions

FUNCTIONS
    chi2Proportions(count, nobs)
        A wrapper for the chi2 testing proportions based upon the chi-square test

        Args:
            count (:obj `list` of :obj`int` or a single `int`):  the number of successes in nobs trials. If this is 
            array_like, then the assumption is that this represents the number of successes 
            for each independent sample 


            nobs (:obj `list` of :obj`int` or a single `int`):  The number of trials or observations, with the same length as count. 

        Returns: 
            chi2  (:obj `float`): The test statistic.

            p (:obj `float`): The p-value of the test

            dof (int) : Degrees of freedom

            expected (:obj `list`): list same shape as observed. The expected frequencies, based on the marginal sums of the table


        References: 
        [1] "scipy.stats.chi2_contingency" https://docs.scipy.org/doc/scipy/reference/generated/scipy.stats.chi2_contingency.html
        [2] "statsmodels.stats.proportion.proportions_chisquare"  https://www.statsmodels.org/dev/generated/statsmodels.stats.proportion.proportions_chisquare.html
        [3] (1, 2) “Contingency table”, https://en.wikipedia.org/wiki/Contingency_table
        [4] (1, 2) “Pearson’s chi-squared test”, https://en.wikipedia.org/wiki/Pearson%27s_chi-squared_test
        [5] (1, 2) Cressie, N. and Read, T. R. C., “Multinomial Goodness-of-Fit Tests”, J. Royal Stat. Soc. Series B, Vol. 46, No. 3 (1984), pp. 440-464.

        Sample use: 
            input: 
            [10,10,20] - number of successes in trial 
            [20,20,20] - number of trials 
            chi2Proportions([10,10,20], [20,20,20])

            output: 
            (2.7777777777777777,
            0.24935220877729619,
            2,
            array([[ 12.,  12.,  16.],
                [ 18.,  18.,  24.]]))

FILE
    /Users/johncook/git/uiowa-irl-utils/irlutils/stats/tests/proportions/chi2_proportions.py