unhash | tools designed to enable better password

 by   tkisason Python Version: Current License: No License

kandi X-RAY | unhash Summary

kandi X-RAY | unhash Summary

unhash is a Python library. unhash has no bugs, it has no vulnerabilities and it has low support. However unhash build file is not available. You can download it from GitHub.

A simple tool to help with fetching common lists from various online repositories and merging them ordered by occurance and weight of each pair. Contains a user-passwords list user_pass_services_122013.txt (separated with space) that contains almost all common default preset passwords for network devices and services. Useful for checking if there are no factory passwords present on most services and devices.
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              unhash has a low active ecosystem.
              It has 112 star(s) with 22 fork(s). There are 16 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              unhash has no issues reported. There are 1 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of unhash is current.

            kandi-Quality Quality

              unhash has 0 bugs and 0 code smells.

            kandi-Security Security

              unhash has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              unhash code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              unhash does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              unhash releases are not available. You will need to build from source code and install.
              unhash has no build file. You will be need to create the build yourself to build the component from source.
              unhash saves you 231 person hours of effort in developing the same functionality from scratch.
              It has 564 lines of code, 26 functions and 6 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed unhash and discovered the below as its top functions. This is intended to give you an instant insight into unhash implemented functionality, and help decide if they suit your requirements.
            • Run rule
            • Yield lines from a text file
            • R Define a generator
            • Read a file into a list
            • A generator function
            • Yield stripped lines from a file
            • A generator function which produces a sequence of strings
            • Perform a Google Wordlist API
            • Scrape a list of links
            • Computes the frequency of a sequence of elements
            • Reduce a list of colors
            • Reduce a string
            • Replace newlines
            • Generate a rule
            • Split a pattern
            Get all kandi verified functions for this library.

            unhash Key Features

            No Key Features are available at this moment for unhash.

            unhash Examples and Code Snippets

            No Code Snippets are available at this moment for unhash.

            Community Discussions

            QUESTION

            TypeError: unhashable type: 'numpy.ndarray' and plt.scatter()
            Asked 2021-Jun-16 at 02:51

            I am having issues with the plt.scatter() function. The error message says 'Type Error: unhashable type: 'numpy.ndarray''I want this code to create a scatter plot of the x and y dataframes. The two dataframes are the same size (88,2) when I enter a sample unit into the code.

            ...

            ANSWER

            Answered 2021-Jun-15 at 18:02

            Based on Matplotlib documentation here the inputs for plt.scatter() are:

            x, yfloat or array-like, shape (n, ) The data positions.

            But in your code what you're passing to the scatter function are two pd.DataFrame. So the first column are the names but the second columns are where the values stored:

            Source https://stackoverflow.com/questions/67990872

            QUESTION

            Groupby values within a pandas dataframe array column
            Asked 2021-Jun-15 at 13:30

            I have a dataframe containing a few columns with arrays. Here's a sample of one of the columns:

            ...

            ANSWER

            Answered 2021-Jun-15 at 13:30

            QUESTION

            list duplicate values in a nested dictionary
            Asked 2021-Jun-14 at 16:06

            i need to check for duplicate values that might occur in a dictionary. I have a dictionary in the following layout. Any advise is welcome! thanks so much

            the original dictionary

            ...

            ANSWER

            Answered 2021-May-19 at 10:29

            The panda's answer is certainly nicer:

            Source https://stackoverflow.com/questions/67600014

            QUESTION

            how to put variable in python defaultdict call
            Asked 2021-Jun-12 at 12:55

            In a python defaultdict object (like obj1), I can call obj1['hello','there'] and get item. but when the input list is variable (for example: input_list), how I can call obj1[input_list]? when I call obj1[input_list], python raise this error:

            TypeError: unhashable type: 'list'

            when use obj1[*input_list], python returns:

            SyntaxError: invalid syntax

            So what is the correct way to put list as variable in defaultdict?

            ...

            ANSWER

            Answered 2021-Jun-12 at 12:55

            The error TypeError: unhashable type: 'list' states that list is not hashable, but a dict always needs a hashable key!
            If you test my_normal_dict[2,3] you can see that it actually treats these two numbers as the tuple (2,3) because the error is KeyError: (2, 3), so you need to input a hashable iterable like a tuple.

            For example, my_dict[tuple(my_list)] should work, as long as all the elements of the tuple itself are hashable!
            Note though: If your list is large, it may be relevant that this needs to copy all elements into a tuple.

            Source https://stackoverflow.com/questions/67948977

            QUESTION

            converting nested json into dataframe with a specific output
            Asked 2021-Jun-10 at 14:12

            Let's say I have some JSON as below

            ...

            ANSWER

            Answered 2021-Jun-10 at 13:48

            QUESTION

            Plotting sets from Pandas df and Type Error unhashable type: 'set'
            Asked 2021-Jun-10 at 11:51

            I have a dataframe with a column of sets:

            ...

            ANSWER

            Answered 2021-Jun-10 at 11:51

            QUESTION

            Get the count value of the column in the dataframe and set remaining rows as 1
            Asked 2021-Jun-09 at 07:32

            I have a dataframe with occ empty:

            ...

            ANSWER

            Answered 2021-Jun-09 at 07:32

            While creating occ column, assign value 1 as initial value and then you can use pd.DataFrame.duplicated passing parameter keep='first' to create the masking for first occurrence of the values, and assign the counts:

            Source https://stackoverflow.com/questions/67898322

            QUESTION

            BFS search algorithm
            Asked 2021-Jun-08 at 23:18

            I am newly learning Python, and I am trying to create a bfs algorithm that can take vertices of a weighted graph and return the bfs. Eventually, I will need to add the weighted edges to the vertices so that I can calculate the distance travelled, however I am able to get the bfs to work with my vertices alone. This is the code so far:

            ...

            ANSWER

            Answered 2021-Jun-08 at 23:18

            The problem was caused by you adding nodes, which is a list in your new data structure, to new_path

            Source https://stackoverflow.com/questions/67895366

            QUESTION

            Transforming dataframe in 2 dictionaries in python
            Asked 2021-Jun-08 at 21:26

            I have a python dataframe (dataLabel) like this:

            ...

            ANSWER

            Answered 2021-Jun-08 at 21:26

            For the first dictionary, just use tolist on the column:

            Source https://stackoverflow.com/questions/67894706

            QUESTION

            How do I implement this Oracel SQL graph query in Python code?
            Asked 2021-Jun-08 at 06:38

            I'm trying to code the Python equivalent of this Oracle SQL command:

            ...

            ANSWER

            Answered 2021-Jun-08 at 06:18

            I think u could try this

            Source https://stackoverflow.com/questions/67867072

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install unhash

            You can download it from GitHub.
            You can use unhash like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            CLONE
          • HTTPS

            https://github.com/tkisason/unhash.git

          • CLI

            gh repo clone tkisason/unhash

          • sshUrl

            git@github.com:tkisason/unhash.git

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