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‎.github/FUNDING.yml

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# Support
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If you have any questions or need support, please open an issue.
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# Donate
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Support the project with USDT (TRC-20):
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```
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TGpiWetnYK2VQpxNGPR27D9vfM6Mei5vNA
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```
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# About Takk™ Innovate Studio
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Leading the Digital Revolution as the Pioneering 100% Artificial Intelligence Team.
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- Copyright (c) Takk™ Innovate Studio
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- Author: David C Cavalcante
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- Email: say@takk.ag
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- LinkedIn: https://www.linkedin.com/in/hellodav/
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- Medium: https://medium.com/@davcavalcante/
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- Website: https://takk.ag/
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- Twitter: https://twitter.com/takk8is/
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- Medium: https://takk8is.medium.com/

‎AUTHORS.md

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Copyright (c)
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License: Attribution 4.0 International (CC BY 4.0)
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Author: David C Cavalcante
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[![LinkedIn](https://www.linkedin.com/in/hellodav/)](https://www.linkedin.com/in/hellodav/)
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[![Medium](https://medium.com/@davcavalcante/)](https://medium.com/@davcavalcante/)
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Takk™ Innovate Studio
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* Positive results, rapid innovation
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* Leading the Digital Revolution as the Pioneering 100% Artificial Intelligence Team
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[Takk™ Innovate Studio](https://takk.ag/)
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[![GitHub]](https://github.com/@takk8is/)
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[![X]](https://twitter.com/takk8is/)
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[![Medium](https://medium.com/@takk8is/)](https://medium.com/@takk8is/)

‎LICENSE

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MIT License
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Copyright (c) 2024 takk8is
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.

‎LICENSE.md

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Creative Commons Legal Code
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CC0 1.0 Universal
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LEGAL SERVICES. DISTRIBUTION OF THIS DOCUMENT DOES NOT CREATE AN
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ATTORNEY-CLIENT RELATIONSHIP. CREATIVE COMMONS PROVIDES THIS
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INFORMATION ON AN "AS-IS" BASIS. CREATIVE COMMONS MAKES NO WARRANTIES
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REGARDING THE USE OF THIS DOCUMENT OR THE INFORMATION OR WORKS
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PROVIDED HEREUNDER, AND DISCLAIMS LIABILITY FOR DAMAGES RESULTING FROM
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THE USE OF THIS DOCUMENT OR THE INFORMATION OR WORKS PROVIDED
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HEREUNDER.
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Statement of Purpose
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exclusive Copyright and Related Rights (defined below) upon the creator
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and subsequent owner(s) (each and all, an "owner") of an original work of
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applied by Affirmer to the Work. Should any part of the License for any
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reason be judged legally invalid or ineffective under applicable law, such
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will not (i) exercise any of his or her remaining Copyright and Related
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action with respect to the Work, in either case contrary to Affirmer's
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express Statement of Purpose.
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4. Limitations and Disclaimers.
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surrendered, licensed or otherwise affected by this document.
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statutory or otherwise, including without limitation warranties of
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Further, Affirmer disclaims responsibility for obtaining any necessary
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d. Affirmer understands and acknowledges that Creative Commons is not a
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this CC0 or use of the Work.

‎README.md

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# Unique Email Extractor
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![Python](https://img.shields.io/badge/Python-3.x-blue.svg)
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![License](https://img.shields.io/badge/license-MIT-green.svg)
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![Contributions Welcome](https://img.shields.io/badge/contributions-welcome-brightgreen.svg)
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![Sponsors](https://img.shields.io/badge/sponsors-Takk8IS-orange.svg)
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This Python script is designed to process a file, such as a SQL file, and extract all unique email addresses found within it. It uses a sophisticated regular expression to identify email addresses and adds each unique email to a set to ensure there are no duplicates.
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![Unique Email Extractor from SQL](https://github.com/Takk8IS/UniqueEmailExtractorFromSQL/blob/main/assets/screenshot-01.png?raw=true)
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## Functionality
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The code consists of a single function called `find_unique_emails` that takes a file path as an argument. Here's a step-by-step breakdown of how the function works:
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1. The function defines a regular expression pattern `email_pattern` that matches email addresses in the format `name@domain.tld`.
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2. It initialises a set called `unique_emails` to store the unique email addresses.
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3. The function attempts to open the file specified by the `file_path` argument in read mode.
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4. If the file is successfully opened, the function prints a message indicating that it is searching for email addresses.
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5. It then reads the file line by line and uses the `re.findall` function to extract all email addresses found in each line.
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6. For each email address found, the function checks if it is already in the `unique_emails` set. If not, it prints the email address and adds it to the set.
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7. After processing the entire file, the function prints the total number of unique email addresses found.
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8. If the file is not found, the function prints an error message indicating that the file was not found.
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9. If any other exception occurs, the function prints a generic error message.
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## Usage
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To use the script, follow these steps:
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1. Ensure you have Python installed on your system.
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2. Save the Python script in a directory that contains the file you want to process.
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3. Open a terminal or command prompt and navigate to the directory where the script is located.
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4. Modify the `file_path` variable in the script to point to the file you want to process (e.g., `file_path = 'database.sql'`).
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5. Run the script by typing `python UniqueEmailExtractorFromSQL.py` in the terminal.
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6. The script will process the file and print each unique email address found, followed by the total count of unique email addresses.
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## Example Output
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```
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Searching for email addresses in the file...
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Found email: example1@example.com
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Found email: example2@example.org
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Found email: example3@example.net
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Total unique email addresses found: 3
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```
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## Contributing
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We welcome contributions from the community! If you'd like to contribute, please fork the repository, create a new branch, and submit a pull request. For major changes, please open an issue first to discuss what you would like to change.
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1. Fork the repository.
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2. Create your feature branch (`git checkout -b feature/AmazingFeature`).
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3. Commit your changes (`git commit -m 'Add some AmazingFeature'`).
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4. Push to the branch (`git push origin feature/AmazingFeature`).
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5. Open a Pull Request.
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## Donations
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If this script has been helpful for you, consider making a donation to support our work:
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**USDT (TRC-20)**: `TGpiWetnYK2VQpxNGPR27D9vfM6Mei5vNA`
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Your donations help us continue developing useful and innovative tools.
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## About Takk™ Innovate Studio
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Leading the Digital Revolution as the Pioneering 100% Artificial Intelligence Team.
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- Copyright (c)
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- Author: [David C Cavalcante](mailto:say@takk.ag)
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- LinkedIn: [linkedin.com/in/hellodav](https://www.linkedin.com/in/hellodav/)
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- X: [@Takk8IS](https://twitter.com/takk8is/)
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- Medium: [takk8is.medium.com](https://takk8is.medium.com/)
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- Website: [takk.ag](https://takk.ag/)

‎UniqueEmailExtractorFromSQL.py

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# Copyright (c)
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# License: Attribution 4.0 International (CC BY 4.0)
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# Author: David C Cavalcante
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# LinkedIn: https://www.linkedin.com/in/hellodav/
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# Medium: https://medium.com/@davcavalcante/
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# Takk™ Innovate Studio
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# Positive results, rapid innovation
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# Leading the Digital Revolution as the Pioneering 100% Artificial Intelligence Team
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# URL: https://takk.ag/
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# Medium: https://takk8is.medium.com/
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# Designed to help you. From AIs to human-beans.
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# Every donation propels us forward.
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# $USDT (TRC-20): TP6zpvjt2ZNGfWKPevfp65ZrcbKMWSQXDi
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import re
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def find_unique_emails(file_path):
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"""
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This function meticulously processes your file, such as a SQL file (alter the extension to TXT or another as required), parsing it line by line. It leverages a sophisticated regular expression to discern unique email addresses, subsequently printing each distinct email encountered. Additionally, it aggregates and displays the total count of unique email addresses identified.
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:param file_path: Specifies the path to the SQL file designated for analysis.
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"""
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# Regular expression pattern for matching email addresses
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email_pattern = r'[\w.-]+@[\w.-]+\.[\w]{2,}'
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# Set to store unique email addresses
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unique_emails = set()
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try:
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# Open the file in read mode
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with open(file_path, 'r', encoding='utf-8') as file:
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print("Searching for email addresses...")
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# Read the file line by line
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for line in file:
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# Find all email addresses in the current line
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found_emails = re.findall(email_pattern, line)
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# Loop through found email addresses
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for email in found_emails:
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# If the email is not already in the set, print and add it
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if email not in unique_emails:
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print(email)
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unique_emails.add(email)
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# After processing the entire file, print the count of unique email addresses
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print(f"\nTotal of unique email addresses listed: {len(unique_emails)}")
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except FileNotFoundError:
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print(f"The file {file_path} was not found.")
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except Exception as e:
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print(f"An error occurred: {e}")
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# Specify the path to your file here
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file_path = 'database.sql'
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# Call the function with the path to your file
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find_unique_emails(file_path)

‎assets/screenshot-01.png

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